= 5 KB\n+ archive_size = os.stat(archive_file_path).st_size\n+ self.assertGreaterEqual(archive_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # That points to the downloaded archive\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+ # A .downloaded folder must have been created\n+ record_dir = os.path.join(TESTS_DOWNLOAD_PATH, \".downloaded\")\n+ self.assertTrue(os.path.isdir(record_dir))\n+ # It must contain a file per product downloade, whose name is\n+ # the MD5 hash of the product's remote location\n+ expected_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n+ record_file = os.path.join(record_dir, expected_hash)\n+ self.assertTrue(os.path.isfile(record_file))\n+ # Its content must be the product's remote location\n+ record_content = Path(record_file).read_text()\n+ self.assertEqual(record_content, product.remote_location)\n+\n+ # The product should not be downloaded again if the download method\n+ # is executed again\n+ previous_archive_file_path = archive_file_path\n+ previous_location = product.location\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The paths should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(product.location, previous_location)\n+\n+ # If we emulate that the product has just been found, it should not\n+ # be downloaded again since the record file is still present.\n+ product.location = product.remote_location\n+ # Pretty much the same checks as with the previous step\n+ previous_archive_file_path = archive_file_path\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The returned path should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+\n+ # Remove the archive\n+ os.remove(archive_file_path)\n+\n+ # Now, the archive is removed but its associated record file\n+ # still exists. Downloading the product again should really\n+ # download it, if its location points to the remote location.\n+ # The product should be automatically extracted.\n+ product.location = product.remote_location\n+ product_dir_path = self.eodag.download(product)\n+\n+ # Its size should be >= 5 KB\n+ downloaded_size = sum(\n+ f.stat().st_size for f in Path(product_dir_path).glob(\"**/*\") if f.is_file()\n+ )\n+ self.assertGreaterEqual(downloaded_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # The location must point to a SAFE directory\n+ self.assertTrue(product.location.endswith(\"SAFE\"))\n+ # The path must point to a SAFE directory\n+ self.assertTrue(os.path.isdir(product_dir_path))\n+ self.assertTrue(product_dir_path.endswith(\"SAFE\"))\n+\n+ # Remove the archive and extracted product and reset the product's location\n+ os.remove(archive_file_path)\n+ shutil.rmtree(Path(product_dir_path).parent)\n+ product.location = product.remote_location\n+\n+ # Now let's check download_all\n+ products = prods_sorted_by_size[:2]\n+ # Pass a copy because download_all empties the list\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+\n+ # The returned paths must point to the downloaded archives\n+ # Each product's location must be a URI path to the archive\n+ for product, archive_path in zip(products, archive_paths):\n+ self.assertTrue(os.path.isfile(archive_path))\n+ self.assertEqual(uri_to_path(product.location), archive_path)\n+\n+ # Downloading the product again should not download them, since\n+ # they are all already there.\n+ prev_archive_paths = archive_paths\n+ start_time = time.time()\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ self.assertEqual(archive_paths, prev_archive_paths)\n+\n+\n # @unittest.skip(\"skip auto run\")\n class TestEODagEndToEndWrongCredentials(EndToEndBase):\n \"\"\"Make real case tests with wrong credentials. This assumes the existence of a\n@@ -462,7 +659,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n \n def test_end_to_end_good_apikey_wrong_credentials_aws_eos(self):\n@@ -489,7 +686,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n self.assertGreater(len(results), 0)\n one_product = results[0]\n@@ -525,5 +722,5 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], USGS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\ndiff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py\nindex f43aaa84..9222648a 100644\n--- a/tests/units/test_eoproduct.py\n+++ b/tests/units/test_eoproduct.py\n@@ -295,7 +295,6 @@ class TestEOProduct(EODagTestCase):\n self.requests_http_get.assert_called_with(\n self.download_url, stream=True, auth=None, params={}\n )\n- product_file_path = product_file_path[len(\"file://\") :]\n download_records_dir = pathlib.Path(product_file_path).parent / \".downloaded\"\n # A .downloaded folder should be created, including a text file that\n # lists the downloaded product by their url\n@@ -332,7 +331,7 @@ class TestEOProduct(EODagTestCase):\n \n # Download\n product_dir_path = product.download()\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n # The returned path must be a directory.\n self.assertTrue(product_dir_path.is_dir())\n # Check that the extracted dir has at least one file, there are more\n@@ -379,7 +378,7 @@ class TestEOProduct(EODagTestCase):\n self.download_url, stream=True, auth=None, params={\"fakeparam\": \"dummy\"}\n )\n # Check that \"outputs_prefix\" is respected.\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n self.assertEqual(product_dir_path.parent.name, output_dir_name)\n # We've asked to extract the product so there should be a directory.\n self.assertTrue(product_dir_path.is_dir())\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex 58732712..ef865dff 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -16,10 +16,11 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n \n+import sys\n import unittest\n from datetime import datetime\n \n-from tests.context import get_timestamp\n+from tests.context import get_timestamp, path_to_uri, uri_to_path\n \n \n class TestUtils(unittest.TestCase):\n@@ -33,3 +34,21 @@ class TestUtils(unittest.TestCase):\n expected_dt = datetime.strptime(requested_date, date_format)\n actual_utc_dt = datetime.utcfromtimestamp(ts_in_secs)\n self.assertEqual(actual_utc_dt, expected_dt)\n+\n+ def test_uri_to_path(self):\n+ if sys.platform == \"win32\":\n+ expected_path = r\"C:\\tmp\\file.txt\"\n+ tested_uri = r\"file:///C:/tmp/file.txt\"\n+ else:\n+ expected_path = \"/tmp/file.txt\"\n+ tested_uri = \"file:///tmp/file.txt\"\n+ actual_path = uri_to_path(tested_uri)\n+ self.assertEqual(actual_path, expected_path)\n+ with self.assertRaises(ValueError):\n+ uri_to_path(\"not_a_uri\")\n+\n+ def test_path_to_uri(self):\n+ if sys.platform == \"win32\":\n+ self.assertEqual(path_to_uri(r\"C:\\tmp\\file.txt\"), \"file:///C:/tmp/file.txt\")\n+ else:\n+ self.assertEqual(path_to_uri(\"/tmp/file.txt\"), \"file:///tmp/file.txt\")\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 1,\n \"test_score\": 0\n },\n \"num_modified_files\": 10\n}"},"version":{"kind":"string","value":"2.2"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\",\n \"requirements-dev.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@0632e4147f26119bea43e0672f6d06e75d216a20#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - nose==1.3.7\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list 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\"tests/test_cli.py::TestCore::test_core_object_locations_file_not_found\",\n \"tests/test_cli.py::TestCore::test_core_object_open_index_if_exists\",\n \"tests/test_cli.py::TestCore::test_core_object_set_default_locations_config\",\n \"tests/test_cli.py::TestCore::test_list_product_types_for_provider_ok\",\n \"tests/test_cli.py::TestCore::test_list_product_types_for_unsupported_provider\",\n \"tests/test_cli.py::TestCore::test_list_product_types_ok\",\n \"tests/test_cli.py::TestCore::test_rebuild_index\",\n \"tests/test_cli.py::TestCore::test_supported_product_types_in_unit_test\",\n \"tests/test_cli.py::TestCore::test_supported_providers_in_unit_test\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_download_missingcredentials\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_download_no_search_results_arg\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_download_ok\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_download_wrongcredentials\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_list_product_type_ok\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_list_product_type_with_provider_ko\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_list_product_type_with_provider_ok\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_all\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_geom_mutually_exclusive\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_valid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_valid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_storage_arg\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_with_conf_file_inexistent\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_with_max_cloud_out_of_range\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_without_args\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_without_producttype_arg\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_with_only_verbose_opt\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_without_args\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search_cog\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo_noresult\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_apikey_search_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_search_usgs\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_theia\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom\",\n \"tests/units/test_utils.py::TestUtils::test_path_to_uri\",\n \"tests/units/test_utils.py::TestUtils::test_uri_to_path\",\n \"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list 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\"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps_after_20161205\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_sobloo\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":451,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-248"},"base_commit":{"kind":"string","value":"0632e4147f26119bea43e0672f6d06e75d216a20"},"created_at":{"kind":"string","value":"2021-04-21 08:52:52"},"environment_setup_commit":{"kind":"string","value":"f32b8071ac367db96ff8f9f8709f0771f9d898f2"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 6efceb2a..556d03c9 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -47,6 +47,7 @@ from eodag.utils import (\n _deprecated,\n get_geometry_from_various,\n makedirs,\n+ uri_to_path,\n )\n from eodag.utils.exceptions import (\n NoMatchingProductType,\n@@ -434,7 +435,7 @@ class EODataAccessGateway(object):\n if results is None:\n results = searcher.search(query, limit=None)\n else:\n- results.upgrade_and_extend(searcher.search(query))\n+ results.upgrade_and_extend(searcher.search(query, limit=None))\n guesses = [r[\"ID\"] for r in results or []]\n if guesses:\n return guesses\n@@ -844,6 +845,19 @@ class EODataAccessGateway(object):\n if product_type is None:\n try:\n guesses = self.guess_product_type(**kwargs)\n+\n+ # guess_product_type raises a NoMatchingProductType error if no product\n+ # is found. Here, the supported search params are removed from the\n+ # kwargs if present, not to propagate them to the query itself.\n+ for param in (\n+ \"instrument\",\n+ \"platform\",\n+ \"platformSerialIdentifier\",\n+ \"processingLevel\",\n+ \"sensorType\",\n+ ):\n+ kwargs.pop(param, None)\n+\n # By now, only use the best bet\n product_type = guesses[0]\n except NoMatchingProductType:\n@@ -1281,8 +1295,10 @@ class EODataAccessGateway(object):\n This is an alias to the method of the same name on\n :class:`~eodag.api.product.EOProduct`, but it performs some additional\n checks like verifying that a downloader and authenticator are registered\n- for the product before trying to download it. If the metadata mapping for\n- `downloadLink` is set to something that can be interpreted as a link on a\n+ for the product before trying to download it.\n+\n+ If the metadata mapping for `downloadLink` is set to something that can be\n+ interpreted as a link on a\n local filesystem, the download is skipped (by now, only a link starting\n with `file://` is supported). Therefore, any user that knows how to extract\n product location from product metadata on a provider can override the\n@@ -1316,10 +1332,15 @@ class EODataAccessGateway(object):\n :rtype: str\n :raises: :class:`~eodag.utils.exceptions.PluginImplementationError`\n :raises: :class:`RuntimeError`\n+\n+ .. versionchanged:: 2.3.0\n+\n+ Returns a file system path instead of a file URI ('/tmp' instead of\n+ 'file:///tmp').\n \"\"\"\n- if product.location.startswith(\"file\"):\n+ if product.location.startswith(\"file://\"):\n logger.info(\"Local product detected. Download skipped\")\n- return product.location\n+ return uri_to_path(product.location)\n if product.downloader is None:\n auth = product.downloader_auth\n if auth is None:\ndiff --git a/eodag/api/product/_product.py b/eodag/api/product/_product.py\nindex a0d98184..a40e74bd 100644\n--- a/eodag/api/product/_product.py\n+++ b/eodag/api/product/_product.py\n@@ -240,6 +240,11 @@ class EOProduct(object):\n :rtype: str\n :raises: :class:`~eodag.utils.exceptions.PluginImplementationError`\n :raises: :class:`RuntimeError`\n+\n+ .. versionchanged:: 2.3.0\n+\n+ Returns a file system path instead of a file URI ('/tmp' instead of\n+ 'file:///tmp').\n \"\"\"\n if progress_callback is None:\n progress_callback = ProgressCallback()\n@@ -254,7 +259,7 @@ class EOProduct(object):\n if self.downloader_auth is not None\n else self.downloader_auth\n )\n- fs_location = self.downloader.download(\n+ fs_path = self.downloader.download(\n self,\n auth=auth,\n progress_callback=progress_callback,\n@@ -262,13 +267,8 @@ class EOProduct(object):\n timeout=timeout,\n **kwargs\n )\n- if fs_location is None:\n- raise DownloadError(\n- \"Invalid file location returned by download process: '{}'\".format(\n- fs_location\n- )\n- )\n- self.location = \"file://{}\".format(fs_location)\n+ if fs_path is None:\n+ raise DownloadError(\"Missing file location returned by download process\")\n logger.debug(\n \"Product location updated from '%s' to '%s'\",\n self.remote_location,\n@@ -279,7 +279,7 @@ class EOProduct(object):\n \"'remote_location' property: %s\",\n self.remote_location,\n )\n- return self.location\n+ return fs_path\n \n def get_quicklook(self, filename=None, base_dir=None, progress_callback=None):\n \"\"\"Download the quick look image of a given EOProduct from its provider if it\ndiff --git a/eodag/plugins/apis/base.py b/eodag/plugins/apis/base.py\nindex 6a775973..b6d385ef 100644\n--- a/eodag/plugins/apis/base.py\n+++ b/eodag/plugins/apis/base.py\n@@ -18,12 +18,40 @@\n import logging\n \n from eodag.plugins.base import PluginTopic\n+from eodag.plugins.download.base import DEFAULT_DOWNLOAD_TIMEOUT, DEFAULT_DOWNLOAD_WAIT\n \n logger = logging.getLogger(\"eodag.plugins.apis.base\")\n \n \n class Api(PluginTopic):\n- \"\"\"Plugins API Base plugin\"\"\"\n+ \"\"\"Plugins API Base plugin\n+\n+ An Api plugin has three download methods that it must implement:\n+ - ``query``: search for products\n+ - ``download``: download a single ``EOProduct``\n+ - ``download_all``: download multiple products from a ``SearchResult``\n+\n+ The download methods must:\n+ - download data in the ``outputs_prefix`` folder defined in the plugin's\n+ configuration or passed through kwargs\n+ - extract products from their archive (if relevant) if ``extract`` is set to True\n+ (True by default)\n+ - save a product in an archive/directory (in ``outputs_prefix``) whose name must be\n+ the product's ``title`` property\n+ - update the product's ``location`` attribute once its data is downloaded (and\n+ eventually after it's extracted) to the product's location given as a file URI\n+ (e.g. 'file:///tmp/product_folder' on Linux or\n+ 'file:///C:/Users/username/AppData/LOcal/Temp' on Windows)\n+ - save a *record* file in the directory ``outputs_prefix/.downloaded`` whose name\n+ is built on the MD5 hash of the product's ``remote_location`` attribute\n+ (``hashlib.md5(remote_location.encode(\"utf-8\")).hexdigest()``) and whose content is\n+ the product's ``remote_location`` attribute itself.\n+ - not try to download a product whose ``location`` attribute already points to an\n+ existing file/directory\n+ - not try to download a product if its *record* file exists as long as the expected\n+ product's file/directory. If the *record* file only is found, it must be deleted\n+ (it certainly indicates that the download didn't complete)\n+ \"\"\"\n \n def query(self, *args, count=True, **kwargs):\n \"\"\"Implementation of how the products must be searched goes here.\n@@ -32,14 +60,77 @@ class Api(PluginTopic):\n which will be processed by a Download plugin (2) and the total number of products matching\n the search criteria. If ``count`` is False, the second element returned must be ``None``.\n \n- .. versionchanged::\n- 2.1\n+ .. versionchanged:: 2.1\n \n- * A new optional boolean parameter ``count`` which defaults to ``True``, it\n- allows to trigger or not a count query.\n+ A new optional boolean parameter ``count`` which defaults to ``True``, it\n+ allows to trigger or not a count query.\n \"\"\"\n raise NotImplementedError(\"A Api plugin must implement a method named query\")\n \n- def download(self, *args, **kwargs):\n- \"\"\"Implementation of how the products must be downloaded.\"\"\"\n- raise NotImplementedError(\"A Api plugin must implement a method named download\")\n+ def download(\n+ self,\n+ product,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n+ r\"\"\"\n+ Base download method. Not available, it must be defined for each plugin.\n+\n+ :param product: EO product to download\n+ :type product: :class:`~eodag.api.product.EOProduct`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: The absolute path to the downloaded product in the local filesystem\n+ (e.g. '/tmp/product.zip' on Linux or\n+ 'C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip' on Windows)\n+ :rtype: str\n+ \"\"\"\n+ raise NotImplementedError(\n+ \"An Api plugin must implement a method named download\"\n+ )\n+\n+ def download_all(\n+ self,\n+ products,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n+ \"\"\"\n+ Base download_all method.\n+\n+ :param products: Products to download\n+ :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: List of absolute paths to the downloaded products in the local\n+ filesystem (e.g. ``['/tmp/product.zip']`` on Linux or\n+ ``['C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip']`` on Windows)\n+ :rtype: list\n+ \"\"\"\n+ raise NotImplementedError(\n+ \"A Api plugin must implement a method named download_all\"\n+ )\ndiff --git a/eodag/plugins/apis/usgs.py b/eodag/plugins/apis/usgs.py\nindex 37ce4443..768778e5 100644\n--- a/eodag/plugins/apis/usgs.py\n+++ b/eodag/plugins/apis/usgs.py\n@@ -37,7 +37,12 @@ from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_WAIT,\n Download,\n )\n-from eodag.utils import GENERIC_PRODUCT_TYPE, format_dict_items, get_progress_callback\n+from eodag.utils import (\n+ GENERIC_PRODUCT_TYPE,\n+ format_dict_items,\n+ get_progress_callback,\n+ path_to_uri,\n+)\n from eodag.utils.exceptions import AuthenticationError, NotAvailableError\n \n logger = logging.getLogger(\"eodag.plugins.apis.usgs\")\n@@ -164,6 +169,8 @@ class UsgsApi(Api, Download):\n product, outputs_extension=\".tar.gz\", **kwargs\n )\n if not fs_path or not record_filename:\n+ if fs_path:\n+ product.location = path_to_uri(fs_path)\n return fs_path\n \n # progress bar init\n@@ -264,8 +271,11 @@ class UsgsApi(Api, Download):\n )\n new_fs_path = fs_path[: fs_path.index(\".tar.gz\")]\n shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n return new_fs_path\n- return self._finalize(fs_path, outputs_extension=\".tar.gz\", **kwargs)\n+ product_path = self._finalize(fs_path, outputs_extension=\".tar.gz\", **kwargs)\n+ product.location = path_to_uri(product_path)\n+ return product_path\n \n def download_all(\n self,\ndiff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex 2f0b132d..687985c6 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -34,7 +34,7 @@ from eodag.api.product.metadata_mapping import (\n properties_from_xml,\n )\n from eodag.plugins.download.base import Download\n-from eodag.utils import get_progress_callback, urlparse\n+from eodag.utils import get_progress_callback, path_to_uri, urlparse\n from eodag.utils.exceptions import AuthenticationError, DownloadError\n \n logger = logging.getLogger(\"eodag.plugins.download.aws\")\n@@ -185,6 +185,8 @@ class AwsDownload(Download):\n # prepare download & create dirs (before updating metadata)\n product_local_path, record_filename = self._prepare_download(product, **kwargs)\n if not product_local_path or not record_filename:\n+ if product_local_path:\n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n product_local_path = product_local_path.replace(\".zip\", \"\")\n # remove existing incomplete file\n@@ -395,6 +397,7 @@ class AwsDownload(Download):\n fh.write(product.remote_location)\n logger.debug(\"Download recorded in %s\", record_filename)\n \n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n \n def get_authenticated_objects(self, bucket_name, prefix, auth_dict):\ndiff --git a/eodag/plugins/download/base.py b/eodag/plugins/download/base.py\nindex 8d6dbd3e..93001e9a 100644\n--- a/eodag/plugins/download/base.py\n+++ b/eodag/plugins/download/base.py\n@@ -25,7 +25,7 @@ from datetime import datetime, timedelta\n from time import sleep\n \n from eodag.plugins.base import PluginTopic\n-from eodag.utils import get_progress_callback, sanitize\n+from eodag.utils import get_progress_callback, sanitize, uri_to_path\n from eodag.utils.exceptions import (\n AuthenticationError,\n MisconfiguredError,\n@@ -43,6 +43,31 @@ DEFAULT_DOWNLOAD_TIMEOUT = 20\n class Download(PluginTopic):\n \"\"\"Base Download Plugin.\n \n+ A Download plugin has two download methods that it must implement:\n+ - ``download``: download a single ``EOProduct``\n+ - ``download_all``: download multiple products from a ``SearchResult``\n+\n+ They must:\n+ - download data in the ``outputs_prefix`` folder defined in the plugin's\n+ configuration or passed through kwargs\n+ - extract products from their archive (if relevant) if ``extract`` is set to True\n+ (True by default)\n+ - save a product in an archive/directory (in ``outputs_prefix``) whose name must be\n+ the product's ``title`` property\n+ - update the product's ``location`` attribute once its data is downloaded (and\n+ eventually after it's extracted) to the product's location given as a file URI\n+ (e.g. 'file:///tmp/product_folder' on Linux or\n+ 'file:///C:/Users/username/AppData/LOcal/Temp' on Windows)\n+ - save a *record* file in the directory ``outputs_prefix/.downloaded`` whose name\n+ is built on the MD5 hash of the product's ``remote_location`` attribute\n+ (``hashlib.md5(remote_location.encode(\"utf-8\")).hexdigest()``) and whose content is\n+ the product's ``remote_location`` attribute itself.\n+ - not try to download a product whose ``location`` attribute already points to an\n+ existing file/directory\n+ - not try to download a product if its *record* file exists as long as the expected\n+ product's file/directory. If the *record* file only is found, it must be deleted\n+ (it certainly indicates that the download didn't complete)\n+\n :param provider: An eodag providers configuration dictionary\n :type provider: dict\n :param config: Path to the user configuration file\n@@ -62,8 +87,26 @@ class Download(PluginTopic):\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n **kwargs,\n ):\n- \"\"\"\n- Base download method. Not available, should be defined for each plugin\n+ r\"\"\"\n+ Base download method. Not available, it must be defined for each plugin.\n+\n+ :param product: EO product to download\n+ :type product: :class:`~eodag.api.product.EOProduct`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: The absolute path to the downloaded product in the local filesystem\n+ (e.g. '/tmp/product.zip' on Linux or\n+ 'C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip' on Windows)\n+ :rtype: str\n \"\"\"\n raise NotImplementedError(\n \"A Download plugin must implement a method named download\"\n@@ -78,8 +121,7 @@ class Download(PluginTopic):\n :rtype: tuple\n \"\"\"\n if product.location != product.remote_location:\n- scheme_prefix_len = len(\"file://\")\n- fs_path = product.location[scheme_prefix_len:]\n+ fs_path = uri_to_path(product.location)\n # The fs path of a product is either a file (if 'extract' config is False) or a directory\n if os.path.isfile(fs_path) or os.path.isdir(fs_path):\n logger.info(\n@@ -249,8 +291,28 @@ class Download(PluginTopic):\n **kwargs,\n ):\n \"\"\"\n- A sequential download_all implementation\n- using download method for every products\n+ Base download_all method.\n+\n+ This specific implementation uses the ``download`` method implemented by\n+ the plugin to **sequentially** attempt to download products.\n+\n+ :param products: Products to download\n+ :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: List of absolute paths to the downloaded products in the local\n+ filesystem (e.g. ``['/tmp/product.zip']`` on Linux or\n+ ``['C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip']`` on Windows)\n+ :rtype: list\n \"\"\"\n paths = []\n # initiate retry loop\ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 11662a18..f54fff86 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -32,7 +32,7 @@ from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_WAIT,\n Download,\n )\n-from eodag.utils import get_progress_callback\n+from eodag.utils import get_progress_callback, path_to_uri\n from eodag.utils.exceptions import (\n AuthenticationError,\n MisconfiguredError,\n@@ -70,6 +70,8 @@ class HTTPDownload(Download):\n \"\"\"\n fs_path, record_filename = self._prepare_download(product, **kwargs)\n if not fs_path or not record_filename:\n+ if fs_path:\n+ product.location = path_to_uri(fs_path)\n return fs_path\n \n # progress bar init\n@@ -80,7 +82,7 @@ class HTTPDownload(Download):\n \n # download assets if exist instead of remote_location\n try:\n- return self._download_assets(\n+ fs_path = self._download_assets(\n product,\n fs_path.replace(\".zip\", \"\"),\n record_filename,\n@@ -88,6 +90,8 @@ class HTTPDownload(Download):\n progress_callback,\n **kwargs\n )\n+ product.location = path_to_uri(fs_path)\n+ return fs_path\n except NotAvailableError:\n pass\n \n@@ -218,8 +222,11 @@ class HTTPDownload(Download):\n )\n new_fs_path = fs_path[: fs_path.index(\".zip\")]\n shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n return new_fs_path\n- return self._finalize(fs_path, **kwargs)\n+ product_path = self._finalize(fs_path, **kwargs)\n+ product.location = path_to_uri(product_path)\n+ return product_path\n \n except NotAvailableError as e:\n if not getattr(self.config, \"order_enabled\", False):\ndiff --git a/eodag/plugins/download/s3rest.py b/eodag/plugins/download/s3rest.py\nindex 71876ea4..2f5628b9 100644\n--- a/eodag/plugins/download/s3rest.py\n+++ b/eodag/plugins/download/s3rest.py\n@@ -29,7 +29,7 @@ from requests import HTTPError\n from eodag.api.product.metadata_mapping import OFFLINE_STATUS\n from eodag.plugins.download.aws import AwsDownload\n from eodag.plugins.download.http import HTTPDownload\n-from eodag.utils import get_progress_callback, urljoin\n+from eodag.utils import get_progress_callback, path_to_uri, urljoin\n from eodag.utils.exceptions import (\n AuthenticationError,\n DownloadError,\n@@ -158,6 +158,7 @@ class S3RestDownload(AwsDownload):\n url_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n record_filename = os.path.join(download_records_dir, url_hash)\n if os.path.isfile(record_filename) and os.path.exists(product_local_path):\n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n # Remove the record file if product_local_path is absent (e.g. it was deleted while record wasn't)\n elif os.path.isfile(record_filename):\n@@ -215,4 +216,5 @@ class S3RestDownload(AwsDownload):\n fh.write(product.remote_location)\n logger.debug(\"Download recorded in %s\", record_filename)\n \n+ product.location = path_to_uri(product_local_path)\n return product_local_path\ndiff --git a/eodag/rest/utils.py b/eodag/rest/utils.py\nindex f48e3eb0..2c6f7e9d 100644\n--- a/eodag/rest/utils.py\n+++ b/eodag/rest/utils.py\n@@ -463,7 +463,7 @@ def download_stac_item_by_id(catalogs, item_id, provider=None):\n \n product_path = eodag_api.download(product)\n \n- return product_path.replace(\"file://\", \"\")\n+ return product_path\n \n \n def get_stac_catalogs(url, root=\"/\", catalogs=[], provider=None):\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 70798110..0c21649b 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -35,6 +35,7 @@ import warnings\n from collections import defaultdict\n from datetime import datetime, timezone\n from itertools import repeat, starmap\n+from pathlib import Path\n \n # All modules using these should import them from utils package\n from urllib.parse import ( # noqa; noqa\n@@ -43,8 +44,10 @@ from urllib.parse import ( # noqa; noqa\n urlencode,\n urljoin,\n urlparse,\n+ urlsplit,\n urlunparse,\n )\n+from urllib.request import url2pathname\n \n import click\n import shapefile\n@@ -203,6 +206,24 @@ def strip_accents(s):\n )\n \n \n+def uri_to_path(uri):\n+ \"\"\"\n+ Convert a file URI (e.g. 'file:///tmp') to a local path (e.g. '/tmp')\n+ \"\"\"\n+ if not uri.startswith(\"file\"):\n+ raise ValueError(\"A file URI must be provided (e.g. 'file:///tmp'\")\n+ _, _, path, _, _ = urlsplit(uri)\n+ # On Windows urlsplit returns the path starting with a slash ('/C:/User)\n+ path = url2pathname(path)\n+ # url2pathname removes it\n+ return path\n+\n+\n+def path_to_uri(path):\n+ \"\"\"Convert a local absolute path to a file URI\"\"\"\n+ return Path(path).as_uri()\n+\n+\n def mutate_dict_in_place(func, mapping):\n \"\"\"Apply func to values of mapping.\n \n@@ -853,13 +874,13 @@ def _deprecated(reason=\"\", version=None):\n \n @functools.wraps(callable)\n def wrapper(*args, **kwargs):\n- warnings.simplefilter(\"always\", DeprecationWarning)\n- warnings.warn(\n- f\"Call to deprecated {ctype} {cname} {reason_}{version_}\",\n- category=DeprecationWarning,\n- stacklevel=2,\n- )\n- warnings.simplefilter(\"default\", DeprecationWarning)\n+ with warnings.catch_warnings():\n+ warnings.simplefilter(\"always\", DeprecationWarning)\n+ warnings.warn(\n+ f\"Call to deprecated {ctype} {cname} {reason_}{version_}\",\n+ category=DeprecationWarning,\n+ stacklevel=2,\n+ )\n return callable(*args, **kwargs)\n \n return wrapper\n"},"problem_statement":{"kind":"string","value":"Kwargs passed to guess a product type are propagated\nA search made with the following criteria guesses that it should use the product type `S2_MSI_L1C`:\r\n\r\n```python\r\nfrom eodag import EODataAccessGateway\r\ndag = EODataAccessGateway()\r\ndag.set_preferred_provider(\"peps\")\r\nsearch_criteria = {\r\n 'start': '2021-03-01',\r\n 'end': '2021-03-31',\r\n 'geom': {'lonmin': 1, 'latmin': 43, 'lonmax': 2, 'latmax': 44},\r\n 'instrument': 'MSI',\r\n 'platform': 'SENTINEL2',\r\n 'platformSerialIdentifier': 'S2A',\r\n 'processingLevel': 'L1',\r\n 'sensorType': 'OPTICAL'\r\n}\r\ndag.search(**search_criteria)\r\n```\r\n\r\nThe URL sent is this one:\r\n\r\nhttps://peps.cnes.fr/resto/api/collections/S2ST/search.json?instrument=MSI&platform=S2A&processingLevel=L1&sensorType=OPTICAL&startDate=2021-03-01&completionDate=2021-03-31&geometry=POLYGON ((1.0000 43.0000, 1.0000 44.0000, 2.0000 44.0000, 2.0000 43.0000, 1.0000 43.0000))&productType=S2MSI1C&maxRecords=20&page=1\r\n\r\nAs it can be seen the URL has the \"hint\" kwargs (e.g. `instrument`) as query parameters. I don't know whether they should be preserved or not. The problem here actually is that the search returns 0 results while it should return some in this area and time period. By removing `processingLevel=L1` the request returns some results, but not the same number as if the search was made before hints and just with `productType=\"S2_MSI_L1C\"`."},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex 96807bc8..df74276a 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -44,7 +44,13 @@ from eodag.plugins.manager import PluginManager\n from eodag.plugins.search.base import Search\n from eodag.rest import server as eodag_http_server\n from eodag.rest.utils import eodag_api, get_date\n-from eodag.utils import get_geometry_from_various, get_timestamp, makedirs\n+from eodag.utils import (\n+ get_geometry_from_various,\n+ get_timestamp,\n+ makedirs,\n+ path_to_uri,\n+ uri_to_path,\n+)\n from eodag.utils.exceptions import (\n AddressNotFound,\n AuthenticationError,\ndiff --git a/tests/test_cli.py b/tests/test_cli.py\nindex 94e07cc3..a4171dbb 100644\n--- a/tests/test_cli.py\n+++ b/tests/test_cli.py\n@@ -427,7 +427,7 @@ class TestEodagCli(unittest.TestCase):\n TEST_RESOURCES_PATH, \"eodag_search_result.geojson\"\n )\n config_path = os.path.join(TEST_RESOURCES_PATH, \"file_config_override.yml\")\n- dag.return_value.download_all.return_value = [\"file:///fake_path\"]\n+ dag.return_value.download_all.return_value = [\"/fake_path\"]\n result = self.runner.invoke(\n eodag,\n [\"download\", \"--search-results\", search_results_path, \"-f\", config_path],\n@@ -435,7 +435,7 @@ class TestEodagCli(unittest.TestCase):\n dag.assert_called_once_with(user_conf_file_path=config_path)\n dag.return_value.deserialize.assert_called_once_with(search_results_path)\n self.assertEqual(dag.return_value.download_all.call_count, 1)\n- self.assertEqual(\"Downloaded file:///fake_path\\n\", result.output)\n+ self.assertEqual(\"Downloaded /fake_path\\n\", result.output)\n \n # Testing the case when no downloaded path is returned\n dag.return_value.download_all.return_value = [None]\ndiff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py\nindex be2dee90..ca0a145c 100644\n--- a/tests/test_end_to_end.py\n+++ b/tests/test_end_to_end.py\n@@ -18,15 +18,22 @@\n \n import datetime\n import glob\n+import hashlib\n import multiprocessing\n import os\n import shutil\n+import time\n import unittest\n from pathlib import Path\n \n from eodag.api.product.metadata_mapping import ONLINE_STATUS\n from tests import TEST_RESOURCES_PATH, TESTS_DOWNLOAD_PATH\n-from tests.context import AuthenticationError, EODataAccessGateway\n+from tests.context import (\n+ AuthenticationError,\n+ EODataAccessGateway,\n+ SearchResult,\n+ uri_to_path,\n+)\n \n THEIA_SEARCH_ARGS = [\n \"theia\",\n@@ -148,8 +155,8 @@ class EndToEndBase(unittest.TestCase):\n \"\"\"\n search_criteria = {\n \"productType\": product_type,\n- \"startTimeFromAscendingNode\": start,\n- \"completionTimeFromAscendingNode\": end,\n+ \"start\": start,\n+ \"end\": end,\n \"geom\": geom,\n }\n if items_per_page:\n@@ -190,8 +197,8 @@ class EndToEndBase(unittest.TestCase):\n - Return all the products\n \"\"\"\n search_criteria = {\n- \"startTimeFromAscendingNode\": start,\n- \"completionTimeFromAscendingNode\": end,\n+ \"start\": start,\n+ \"end\": end,\n \"geom\": geom,\n }\n self.eodag.set_preferred_provider(provider)\n@@ -428,6 +435,196 @@ class TestEODagEndToEnd(EndToEndBase):\n self.assertGreater(len(results), 10)\n \n \n+class TestEODagEndToEndComplete(unittest.TestCase):\n+ \"\"\"Make real and complete test cases that search for products, download them and\n+ extract them. There should be just a tiny number of these tests which can be quite\n+ long to run.\n+\n+ There must be a user conf file in the test resources folder named user_conf.yml\n+ \"\"\"\n+\n+ @classmethod\n+ def setUpClass(cls):\n+\n+ # use tests/resources/user_conf.yml if exists else default file ~/.config/eodag/eodag.yml\n+ tests_user_conf = os.path.join(TEST_RESOURCES_PATH, \"user_conf.yml\")\n+ if not os.path.isfile(tests_user_conf):\n+ unittest.SkipTest(\"Missing user conf file with credentials\")\n+ cls.eodag = EODataAccessGateway(\n+ user_conf_file_path=os.path.join(TEST_RESOURCES_PATH, \"user_conf.yml\")\n+ )\n+\n+ # create TESTS_DOWNLOAD_PATH is not exists\n+ if not os.path.exists(TESTS_DOWNLOAD_PATH):\n+ os.makedirs(TESTS_DOWNLOAD_PATH)\n+\n+ for provider, conf in cls.eodag.providers_config.items():\n+ # Change download directory to TESTS_DOWNLOAD_PATH for tests\n+ if hasattr(conf, \"download\") and hasattr(conf.download, \"outputs_prefix\"):\n+ conf.download.outputs_prefix = TESTS_DOWNLOAD_PATH\n+ elif hasattr(conf, \"api\") and hasattr(conf.api, \"outputs_prefix\"):\n+ conf.api.outputs_prefix = TESTS_DOWNLOAD_PATH\n+ else:\n+ # no outputs_prefix found for provider\n+ pass\n+ # Force all providers implementing RestoSearch and defining how to retrieve\n+ # products by specifying the\n+ # location scheme to use https, enabling actual downloading of the product\n+ if (\n+ getattr(getattr(conf, \"search\", {}), \"product_location_scheme\", \"https\")\n+ == \"file\"\n+ ):\n+ conf.search.product_location_scheme = \"https\"\n+\n+ def tearDown(self):\n+ \"\"\"Clear the test directory\"\"\"\n+ for p in Path(TESTS_DOWNLOAD_PATH).glob(\"**/*\"):\n+ try:\n+ os.remove(p)\n+ except OSError:\n+ shutil.rmtree(p)\n+\n+ def test_end_to_end_complete_peps(self):\n+ \"\"\"Complete end-to-end test with PEPS for download and download_all\"\"\"\n+ # Search for products that are ONLINE and as small as possible\n+ today = datetime.date.today()\n+ month_span = datetime.timedelta(weeks=4)\n+ search_results, _ = self.eodag.search(\n+ productType=\"S2_MSI_L1C\",\n+ start=(today - month_span).isoformat(),\n+ end=today.isoformat(),\n+ geom={\"lonmin\": 1, \"latmin\": 42, \"lonmax\": 5, \"latmax\": 46},\n+ items_per_page=100,\n+ )\n+ prods_sorted_by_size = SearchResult(\n+ sorted(search_results, key=lambda p: p.properties[\"resourceSize\"])\n+ )\n+ prods_online = [\n+ p for p in prods_sorted_by_size if p.properties[\"storageStatus\"] == \"ONLINE\"\n+ ]\n+ if len(prods_online) < 2:\n+ unittest.skip(\n+ \"Not enough ONLINE products found, update the search criteria.\"\n+ )\n+\n+ # Retrieve one product to work with\n+ product = prods_online[0]\n+\n+ prev_remote_location = product.remote_location\n+ prev_location = product.location\n+ # The expected product's archive filename is based on the product's title\n+ expected_product_name = f\"{product.properties['title']}.zip\"\n+\n+ # Download the product, but DON'T extract it\n+ archive_file_path = self.eodag.download(product, extract=False)\n+\n+ # The archive must have been downloaded\n+ self.assertTrue(os.path.isfile(archive_file_path))\n+ # Its name must be the \"{product_title}.zip\"\n+ self.assertIn(\n+ expected_product_name, os.listdir(product.downloader.config.outputs_prefix)\n+ )\n+ # Its size should be >= 5 KB\n+ archive_size = os.stat(archive_file_path).st_size\n+ self.assertGreaterEqual(archive_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # That points to the downloaded archive\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+ # A .downloaded folder must have been created\n+ record_dir = os.path.join(TESTS_DOWNLOAD_PATH, \".downloaded\")\n+ self.assertTrue(os.path.isdir(record_dir))\n+ # It must contain a file per product downloade, whose name is\n+ # the MD5 hash of the product's remote location\n+ expected_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n+ record_file = os.path.join(record_dir, expected_hash)\n+ self.assertTrue(os.path.isfile(record_file))\n+ # Its content must be the product's remote location\n+ record_content = Path(record_file).read_text()\n+ self.assertEqual(record_content, product.remote_location)\n+\n+ # The product should not be downloaded again if the download method\n+ # is executed again\n+ previous_archive_file_path = archive_file_path\n+ previous_location = product.location\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The paths should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(product.location, previous_location)\n+\n+ # If we emulate that the product has just been found, it should not\n+ # be downloaded again since the record file is still present.\n+ product.location = product.remote_location\n+ # Pretty much the same checks as with the previous step\n+ previous_archive_file_path = archive_file_path\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The returned path should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+\n+ # Remove the archive\n+ os.remove(archive_file_path)\n+\n+ # Now, the archive is removed but its associated record file\n+ # still exists. Downloading the product again should really\n+ # download it, if its location points to the remote location.\n+ # The product should be automatically extracted.\n+ product.location = product.remote_location\n+ product_dir_path = self.eodag.download(product)\n+\n+ # Its size should be >= 5 KB\n+ downloaded_size = sum(\n+ f.stat().st_size for f in Path(product_dir_path).glob(\"**/*\") if f.is_file()\n+ )\n+ self.assertGreaterEqual(downloaded_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # The location must point to a SAFE directory\n+ self.assertTrue(product.location.endswith(\"SAFE\"))\n+ # The path must point to a SAFE directory\n+ self.assertTrue(os.path.isdir(product_dir_path))\n+ self.assertTrue(product_dir_path.endswith(\"SAFE\"))\n+\n+ # Remove the archive and extracted product and reset the product's location\n+ os.remove(archive_file_path)\n+ shutil.rmtree(Path(product_dir_path).parent)\n+ product.location = product.remote_location\n+\n+ # Now let's check download_all\n+ products = prods_sorted_by_size[:2]\n+ # Pass a copy because download_all empties the list\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+\n+ # The returned paths must point to the downloaded archives\n+ # Each product's location must be a URI path to the archive\n+ for product, archive_path in zip(products, archive_paths):\n+ self.assertTrue(os.path.isfile(archive_path))\n+ self.assertEqual(uri_to_path(product.location), archive_path)\n+\n+ # Downloading the product again should not download them, since\n+ # they are all already there.\n+ prev_archive_paths = archive_paths\n+ start_time = time.time()\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ self.assertEqual(archive_paths, prev_archive_paths)\n+\n+\n # @unittest.skip(\"skip auto run\")\n class TestEODagEndToEndWrongCredentials(EndToEndBase):\n \"\"\"Make real case tests with wrong credentials. This assumes the existence of a\n@@ -462,7 +659,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n \n def test_end_to_end_good_apikey_wrong_credentials_aws_eos(self):\n@@ -489,7 +686,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n self.assertGreater(len(results), 0)\n one_product = results[0]\n@@ -525,5 +722,5 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], USGS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\ndiff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex cb6022e4..69cf9a3e 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -367,7 +367,7 @@ class TestCoreGeometry(unittest.TestCase):\n \"lonmax\": 2,\n \"latmax\": 52,\n }\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # Bad dict with a missing key\n del geometry[\"lonmin\"]\n self.assertRaises(\n@@ -378,10 +378,10 @@ class TestCoreGeometry(unittest.TestCase):\n )\n # Tuple\n geometry = (0, 50, 2, 52)\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # List\n geometry = list(geometry)\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # List without 4 items\n geometry.pop()\n self.assertRaises(\n@@ -392,7 +392,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n # WKT\n geometry = ref_geom_as_wkt\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # Some other shapely geom\n geometry = LineString([[0, 0], [1, 1]])\n self.assertIsInstance(\n@@ -409,7 +409,7 @@ class TestCoreGeometry(unittest.TestCase):\n locations_config, locations=dict(country=\"FRA\")\n )\n self.assertIsInstance(geom_france, MultiPolygon)\n- self.assertEquals(len(geom_france), 3) # France + Guyana + Corsica\n+ self.assertEqual(len(geom_france), 3) # France + Guyana + Corsica\n \n def test_get_geometry_from_various_locations_with_wrong_location_name_in_kwargs(\n self,\n@@ -444,7 +444,7 @@ class TestCoreGeometry(unittest.TestCase):\n locations_config, locations=dict(country=\"PA[A-Z]\")\n )\n self.assertIsInstance(geom_regex_pa, MultiPolygon)\n- self.assertEquals(len(geom_regex_pa), 2)\n+ self.assertEqual(len(geom_regex_pa), 2)\n \n def test_get_geometry_from_various_locations_no_match_raises_error(self):\n \"\"\"If the location search doesn't match any of the feature attribute a ValueError must be raised\"\"\"\n@@ -468,7 +468,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n self.assertIsInstance(geom_combined, MultiPolygon)\n # France + Guyana + Corsica + somewhere over Poland\n- self.assertEquals(len(geom_combined), 4)\n+ self.assertEqual(len(geom_combined), 4)\n geometry = {\n \"lonmin\": 0,\n \"latmin\": 50,\n@@ -480,7 +480,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n self.assertIsInstance(geom_combined, MultiPolygon)\n # The bounding box overlaps with France inland\n- self.assertEquals(len(geom_combined), 3)\n+ self.assertEqual(len(geom_combined), 3)\n \n \n class TestCoreSearch(unittest.TestCase):\n@@ -546,7 +546,6 @@ class TestCoreSearch(unittest.TestCase):\n \"geometry\": None,\n \"productType\": None,\n }\n- self.assertDictContainsSubset(expected, prepared_search)\n expected = set([\"geometry\", \"productType\", \"auth\", \"search_plugin\"])\n self.assertSetEqual(expected, set(prepared_search))\n \n@@ -557,11 +556,10 @@ class TestCoreSearch(unittest.TestCase):\n \"end\": \"2020-02-01\",\n }\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\n- \"startTimeFromAscendingNode\": base[\"start\"],\n- \"completionTimeFromAscendingNode\": base[\"end\"],\n- }\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"startTimeFromAscendingNode\"], base[\"start\"])\n+ self.assertEqual(\n+ prepared_search[\"completionTimeFromAscendingNode\"], base[\"end\"]\n+ )\n \n def test__prepare_search_geom(self):\n \"\"\"_prepare_search must handle geom, box and bbox\"\"\"\n@@ -608,8 +606,7 @@ class TestCoreSearch(unittest.TestCase):\n \"\"\"_prepare_search must handle when a product type is given\"\"\"\n base = {\"productType\": \"S2_MSI_L1C\"}\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\"productType\": base[\"productType\"]}\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n \n def test__prepare_search_product_type_guess_it(self):\n \"\"\"_prepare_search must guess a product type when required to\"\"\"\n@@ -621,8 +618,19 @@ class TestCoreSearch(unittest.TestCase):\n platformSerialIdentifier=\"S2A\",\n )\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\"productType\": \"S2_MSI_L1C\", **base}\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], \"S2_MSI_L1C\")\n+\n+ def test__prepare_search_remove_guess_kwargs(self):\n+ \"\"\"_prepare_search must remove the guess kwargs\"\"\"\n+ # Uses guess_product_type to find the product matching\n+ # the best the given params.\n+ base = dict(\n+ instrument=\"MSI\",\n+ platform=\"SENTINEL2\",\n+ platformSerialIdentifier=\"S2A\",\n+ )\n+ prepared_search = self.dag._prepare_search(**base)\n+ self.assertEqual(len(base.keys() & prepared_search.keys()), 0)\n \n def test__prepare_search_with_id(self):\n \"\"\"_prepare_search must handle a search by id\"\"\"\n@@ -638,8 +646,8 @@ class TestCoreSearch(unittest.TestCase):\n \"cloudCover\": 10,\n }\n prepared_search = self.dag._prepare_search(**base)\n- expected = base\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n+ self.assertEqual(prepared_search[\"cloudCover\"], base[\"cloudCover\"])\n \n def test__prepare_search_search_plugin_has_known_product_properties(self):\n \"\"\"_prepare_search must attach the product properties to the search plugin\"\"\"\ndiff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py\nindex f43aaa84..0faf7704 100644\n--- a/tests/units/test_eoproduct.py\n+++ b/tests/units/test_eoproduct.py\n@@ -90,23 +90,18 @@ class TestEOProduct(EODagTestCase):\n self.provider, self.eoproduct_props, productType=self.product_type\n )\n geo_interface = geojson.loads(geojson.dumps(product))\n- self.assertDictContainsSubset(\n- {\n- \"type\": \"Feature\",\n- \"geometry\": self._tuples_to_lists(geometry.mapping(self.geometry)),\n- },\n- geo_interface,\n+ self.assertEqual(geo_interface[\"type\"], \"Feature\")\n+ self.assertEqual(\n+ geo_interface[\"geometry\"],\n+ self._tuples_to_lists(geometry.mapping(self.geometry)),\n )\n- self.assertDictContainsSubset(\n- {\n- \"eodag_provider\": self.provider,\n- \"eodag_search_intersection\": self._tuples_to_lists(\n- geometry.mapping(product.search_intersection)\n- ),\n- \"eodag_product_type\": self.product_type,\n- },\n- geo_interface[\"properties\"],\n+ properties = geo_interface[\"properties\"]\n+ self.assertEqual(properties[\"eodag_provider\"], self.provider)\n+ self.assertEqual(\n+ properties[\"eodag_search_intersection\"],\n+ self._tuples_to_lists(geometry.mapping(product.search_intersection)),\n )\n+ self.assertEqual(properties[\"eodag_product_type\"], self.product_type)\n \n def test_eoproduct_from_geointerface(self):\n \"\"\"EOProduct must be build-able from its geo-interface\"\"\"\n@@ -295,7 +290,6 @@ class TestEOProduct(EODagTestCase):\n self.requests_http_get.assert_called_with(\n self.download_url, stream=True, auth=None, params={}\n )\n- product_file_path = product_file_path[len(\"file://\") :]\n download_records_dir = pathlib.Path(product_file_path).parent / \".downloaded\"\n # A .downloaded folder should be created, including a text file that\n # lists the downloaded product by their url\n@@ -332,7 +326,7 @@ class TestEOProduct(EODagTestCase):\n \n # Download\n product_dir_path = product.download()\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n # The returned path must be a directory.\n self.assertTrue(product_dir_path.is_dir())\n # Check that the extracted dir has at least one file, there are more\n@@ -379,7 +373,7 @@ class TestEOProduct(EODagTestCase):\n self.download_url, stream=True, auth=None, params={\"fakeparam\": \"dummy\"}\n )\n # Check that \"outputs_prefix\" is respected.\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n self.assertEqual(product_dir_path.parent.name, output_dir_name)\n # We've asked to extract the product so there should be a directory.\n self.assertTrue(product_dir_path.is_dir())\ndiff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py\nindex 28369fee..09dd221d 100644\n--- a/tests/units/test_search_plugins.py\n+++ b/tests/units/test_search_plugins.py\n@@ -106,8 +106,8 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):\n info_message=mock.ANY,\n exception_message=mock.ANY,\n )\n- self.assertEquals(estimate, self.sobloo_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.sobloo_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n @mock.patch(\n@@ -144,7 +144,7 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n self.assertIsNone(estimate)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n \n@@ -196,8 +196,8 @@ class TestSearchPluginPostJsonSearch(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n \n- self.assertEquals(estimate, self.awseos_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.awseos_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n @mock.patch(\n@@ -232,7 +232,7 @@ class TestSearchPluginPostJsonSearch(BaseSearchPluginTest):\n )\n \n self.assertIsNone(estimate)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n \n@@ -294,6 +294,6 @@ class TestSearchPluginODataV4Search(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n \n- self.assertEquals(estimate, self.onda_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.onda_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\ndiff --git a/tests/units/test_search_result.py b/tests/units/test_search_result.py\nindex f1697117..d4e52303 100644\n--- a/tests/units/test_search_result.py\n+++ b/tests/units/test_search_result.py\n@@ -32,9 +32,8 @@ class TestSearchResult(unittest.TestCase):\n def test_search_result_geo_interface(self):\n \"\"\"SearchResult must provide a FeatureCollection geo-interface\"\"\"\n geo_interface = geojson.loads(geojson.dumps(self.search_result))\n- self.assertDictContainsSubset(\n- {\"type\": \"FeatureCollection\", \"features\": []}, geo_interface\n- )\n+ self.assertEqual(geo_interface[\"type\"], \"FeatureCollection\")\n+ self.assertEqual(geo_interface[\"features\"], [])\n \n def test_search_result_is_list_like(self):\n \"\"\"SearchResult must provide a list interface\"\"\"\ndiff --git a/tests/units/test_stac_reader.py b/tests/units/test_stac_reader.py\nindex 8960ee81..f242fb38 100644\n--- a/tests/units/test_stac_reader.py\n+++ b/tests/units/test_stac_reader.py\n@@ -47,10 +47,8 @@ class TestStacReader(unittest.TestCase):\n items = fetch_stac_items(self.child_cat)\n self.assertIsInstance(items, list)\n self.assertEqual(len(items), self.child_cat_len)\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"},\n- items[0],\n- )\n+ self.assertEqual(items[0][\"type\"], \"Feature\")\n+ self.assertEqual(items[0][\"collection\"], \"S2_MSI_L1C\")\n \n def test_stac_reader_fetch_root_not_recursive(self):\n \"\"\"fetch_stac_items from root must provide an empty list when no recursive\"\"\"\n@@ -62,23 +60,20 @@ class TestStacReader(unittest.TestCase):\n items = fetch_stac_items(self.root_cat, recursive=True)\n self.assertEqual(len(items), self.root_cat_len)\n for item in items:\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"}, item\n- )\n+ self.assertEqual(item[\"type\"], \"Feature\")\n+ self.assertEqual(item[\"collection\"], \"S2_MSI_L1C\")\n \n def test_stac_reader_fetch_item(self):\n \"\"\"fetch_stac_items from an item must return it\"\"\"\n item = fetch_stac_items(self.item)\n self.assertIsInstance(item, list)\n self.assertEqual(len(item), 1)\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"},\n- item[0],\n- )\n+ self.assertEqual(item[0][\"type\"], \"Feature\")\n+ self.assertEqual(item[0][\"collection\"], \"S2_MSI_L1C\")\n \n def test_stact_reader_fetch_singlefile_catalog(self):\n \"\"\"fetch_stact_items must return all the items from a single file catalog\"\"\"\n items = fetch_stac_items(self.singlefile_cat)\n self.assertIsInstance(items, list)\n self.assertEqual(len(items), self.singlefile_cat_len)\n- self.assertDictContainsSubset({\"type\": \"Feature\"}, items[0])\n+ self.assertEqual(items[0][\"type\"], \"Feature\")\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex 58732712..ef865dff 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -16,10 +16,11 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n \n+import sys\n import unittest\n from datetime import datetime\n \n-from tests.context import get_timestamp\n+from tests.context import get_timestamp, path_to_uri, uri_to_path\n \n \n class TestUtils(unittest.TestCase):\n@@ -33,3 +34,21 @@ class TestUtils(unittest.TestCase):\n expected_dt = datetime.strptime(requested_date, date_format)\n actual_utc_dt = datetime.utcfromtimestamp(ts_in_secs)\n self.assertEqual(actual_utc_dt, expected_dt)\n+\n+ def test_uri_to_path(self):\n+ if sys.platform == \"win32\":\n+ expected_path = r\"C:\\tmp\\file.txt\"\n+ tested_uri = r\"file:///C:/tmp/file.txt\"\n+ else:\n+ expected_path = \"/tmp/file.txt\"\n+ tested_uri = \"file:///tmp/file.txt\"\n+ actual_path = uri_to_path(tested_uri)\n+ self.assertEqual(actual_path, expected_path)\n+ with self.assertRaises(ValueError):\n+ uri_to_path(\"not_a_uri\")\n+\n+ def test_path_to_uri(self):\n+ if sys.platform == \"win32\":\n+ self.assertEqual(path_to_uri(r\"C:\\tmp\\file.txt\"), \"file:///C:/tmp/file.txt\")\n+ else:\n+ self.assertEqual(path_to_uri(\"/tmp/file.txt\"), \"file:///tmp/file.txt\")\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 2,\n \"test_score\": 2\n },\n \"num_modified_files\": 10\n}"},"version":{"kind":"string","value":"2.2"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist\",\n \"pytest\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@0632e4147f26119bea43e0672f6d06e75d216a20#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - nose==1.3.7\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list 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t_core.py::TestCoreSearch::test__do_search_register_downloader_if_search_intersection","tests/units/test_core.py::TestCoreSearch::test__do_search_without_count","tests/units/test_core.py::TestCoreSearch::test__prepare_search_dates","tests/units/test_core.py::TestCoreSearch::test__prepare_search_geom","tests/units/test_core.py::TestCoreSearch::test__prepare_search_locations","tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_parameters","tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_plugins_when_search_by_id","tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_available","tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_not_available","tests/units/test_core.py::TestCoreSearch::test__prepare_search_preserve_additional_kwargs","tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_guess_it","tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_provided","tests/units/test_core.py::TestCoreSearch::test__prepare_search_remove_guess_kwargs","tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_generic_product_properties","tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_known_product_properties","tests/units/test_core.py::TestCoreSearch::test__prepare_search_with_id","tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit","tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs","tests/units/test_core.py::TestCoreSearch::test_guess_product_type_without_kwargs","tests/units/test_core.py::TestCoreSearch::test_search_all_must_collect_them_all","tests/units/test_core.py::TestCoreSearch::test_search_all_use_default_value","tests/units/test_core.py::TestCoreSearch::test_search_all_use_max_items_per_page","tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda","tests/units/test_search_result.py::TestSearchResult::test_search_result_from_feature_collection","tests/units/test_search_result.py::TestSearchResult::test_search_result_geo_interface","tests/units/test_search_result.py::TestSearchResult::test_search_result_is_list_like","tests/units/test_utils.py::TestUtils::test_path_to_uri","tests/units/test_utils.py::TestUtils::test_uri_to_path","tests/units/test_utils.py::TestUtils::test_utils_get_timestamp"],"string":"[\n \"tests/test_cli.py::TestCore::test_core_object_locations_file_not_found\",\n \"tests/test_cli.py::TestCore::test_core_object_open_index_if_exists\",\n \"tests/test_cli.py::TestCore::test_core_object_set_default_locations_config\",\n \"tests/test_cli.py::TestCore::test_list_product_types_for_provider_ok\",\n \"tests/test_cli.py::TestCore::test_list_product_types_for_unsupported_provider\",\n \"tests/test_cli.py::TestCore::test_list_product_types_ok\",\n \"tests/test_cli.py::TestCore::test_rebuild_index\",\n \"tests/test_cli.py::TestCore::test_supported_product_types_in_unit_test\",\n \"tests/test_cli.py::TestCore::test_supported_providers_in_unit_test\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_download_missingcredentials\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_download_no_search_results_arg\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_download_ok\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_download_wrongcredentials\",\n 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\"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_for_unsupported_provider\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_ok\",\n \"tests/units/test_core.py::TestCore::test_rebuild_index\",\n \"tests/units/test_core.py::TestCore::test_supported_product_types_in_unit_test\",\n \"tests/units/test_core.py::TestCore::test_supported_providers_in_unit_test\",\n \"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_config_file_in_envvar\",\n \"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_locations_file_in_envvar\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_config_standard_location\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_index_if_not_exist\",\n 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\"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_fuzzy_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_no_count_returned\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_null_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_query_products_must_be_a_list\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_register_downloader_if_search_intersection\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_without_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_dates\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_geom\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_locations\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_parameters\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_plugins_when_search_by_id\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_available\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_not_available\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_preserve_additional_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_guess_it\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_provided\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_remove_guess_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_generic_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_known_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_with_id\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_without_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_must_collect_them_all\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_default_value\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_max_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_from_feature_collection\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_geo_interface\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_is_list_like\",\n \"tests/units/test_utils.py::TestUtils::test_path_to_uri\",\n \"tests/units/test_utils.py::TestUtils::test_uri_to_path\",\n \"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid","tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid","tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher","tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps_after_20161205","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws","tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_sobloo","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_child","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_item","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_not_recursive","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_recursive","tests/units/test_stac_reader.py::TestStacReader::test_stact_reader_fetch_singlefile_catalog"],"string":"[\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps_after_20161205\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_sobloo\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_child\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_item\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_not_recursive\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_recursive\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stact_reader_fetch_singlefile_catalog\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":452,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-249"},"base_commit":{"kind":"string","value":"84aac9405cd346a366e7499d043e1e6959a66f30"},"created_at":{"kind":"string","value":"2021-04-21 09:39:18"},"environment_setup_commit":{"kind":"string","value":"f32b8071ac367db96ff8f9f8709f0771f9d898f2"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/download/base.py b/eodag/plugins/download/base.py\nindex bfcb8ac1..46632f7d 100644\n--- a/eodag/plugins/download/base.py\n+++ b/eodag/plugins/download/base.py\n@@ -199,7 +199,7 @@ class Download(PluginTopic):\n \"\"\"\n extract = kwargs.pop(\"extract\", None)\n extract = (\n- extract if extract is not None else getattr(self.config, \"extract\", False)\n+ extract if extract is not None else getattr(self.config, \"extract\", True)\n )\n outputs_extension = kwargs.pop(\"outputs_extension\", \".zip\")\n \ndiff --git a/eodag/resources/user_conf_template.yml b/eodag/resources/user_conf_template.yml\nindex a3fdf94e..a3b92f90 100644\n--- a/eodag/resources/user_conf_template.yml\n+++ b/eodag/resources/user_conf_template.yml\n@@ -19,8 +19,8 @@ peps:\n priority: # Lower value means lower priority (Default: 1)\n search: # Search parameters configuration\n download:\n- extract: # whether to extract the downloaded products (true or false).\n- outputs_prefix: # where to store downloaded products.\n+ extract: # whether to extract the downloaded products, only applies to archived products (true or false, Default: true).\n+ outputs_prefix: # where to store downloaded products, as an absolute file path (Default: local temporary directory)\n dl_url_params: # additional parameters to pass over to the download url as an url parameter\n auth:\n credentials:\n"},"problem_statement":{"kind":"string","value":"Default behaviour for extracting products\nI've just used `eodag-sentinelsat` and was surprised to see I had to set the `extract` parameter to a value (True or False). Before that, I never set this value and it seems to me that products were always extracted.\r\n\r\nCurrently in providers.yml:\r\n* usgs: true\r\n* aws_eos: (irrelevant as AWS download)\r\n* theia: true\r\n* peps: true\r\n* sobloo: true\r\n* creodias: true\r\n* mundi: true\r\n* (wekeo): broken now\r\n* onda: true\r\n* astraea_eod: (irrelevant as AWS download)\r\n* usgs_satapi_aws: (irrelevant as AWS download)\r\n* earth_search: (irrelevant as AWS download)\r\n* earth_search_cog: (irrelevant as COG)\r\n\r\nThe logic in `plugins.download.base.Download._finalize` is to set it to False if `extract` is not provided (either dynamically through kwargs or via configuration):\r\nhttps://github.com/CS-SI/eodag/blob/0632e4147f26119bea43e0672f6d06e75d216a20/eodag/plugins/download/base.py#L151-L161\r\n\r\nIt is called by `HttpDownload.download` and `UsgsApi.download` (and by `Download._prepare_download` to finalize extracting a product if it couldn't be achieved previously for some reason).\r\n\r\nThe template indicates:\r\n```\r\n extract: # whether to extract the downloaded products (true or false).\r\n```\r\n\r\nShould we:\r\n\r\n* Specify that the default behavior is to automatically extract products?\r\n* Update `_finalize` accordingly?\r\n* Indicate to plugin developers that they should extract automatically by default?\r\n* Update eodag-sentinelsat accordingly?"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py\nindex 0faf7704..29da9d2c 100644\n--- a/tests/units/test_eoproduct.py\n+++ b/tests/units/test_eoproduct.py\n@@ -283,29 +283,36 @@ class TestEOProduct(EODagTestCase):\n downloader = HTTPDownload(provider=self.provider, config=dl_config)\n product.register_downloader(downloader, None)\n \n- # Download\n- product_file_path = product.download()\n-\n- # Check that the mocked request was properly called.\n- self.requests_http_get.assert_called_with(\n- self.download_url, stream=True, auth=None, params={}\n- )\n- download_records_dir = pathlib.Path(product_file_path).parent / \".downloaded\"\n- # A .downloaded folder should be created, including a text file that\n- # lists the downloaded product by their url\n- self.assertTrue(download_records_dir.is_dir())\n- files_in_records_dir = list(download_records_dir.iterdir())\n- self.assertEqual(len(files_in_records_dir), 1)\n- records_file = files_in_records_dir[0]\n- actual_download_url = records_file.read_text()\n- self.assertEqual(actual_download_url, self.download_url)\n- # Check that the downloaded product is a zipfile\n- self.assertTrue(zipfile.is_zipfile(product_file_path))\n-\n- # Teardown\n- os.remove(product_file_path)\n- os.remove(str(records_file))\n- os.rmdir(str(download_records_dir))\n+ try:\n+ # Download\n+ product_dir_path = product.download()\n+\n+ # Check that the mocked request was properly called.\n+ self.requests_http_get.assert_called_with(\n+ self.download_url, stream=True, auth=None, params={}\n+ )\n+ download_records_dir = pathlib.Path(product_dir_path).parent / \".downloaded\"\n+ # A .downloaded folder should be created, including a text file that\n+ # lists the downloaded product by their url\n+ self.assertTrue(download_records_dir.is_dir())\n+ files_in_records_dir = list(download_records_dir.iterdir())\n+ self.assertEqual(len(files_in_records_dir), 1)\n+ records_file = files_in_records_dir[0]\n+ actual_download_url = records_file.read_text()\n+ self.assertEqual(actual_download_url, self.download_url)\n+ # Since extraction is True by default, check that the returned path is the\n+ # product's directory.\n+ self.assertTrue(os.path.isdir(product_dir_path))\n+ # Check that the ZIP file is still there\n+ product_dir_path = pathlib.Path(product_dir_path)\n+ product_zip = product_dir_path.parent / (product_dir_path.name + \".zip\")\n+ self.assertTrue(zipfile.is_zipfile(product_zip))\n+ finally:\n+ # Teardown\n+ os.remove(product_zip)\n+ shutil.rmtree(product_dir_path)\n+ os.remove(str(records_file))\n+ os.rmdir(str(download_records_dir))\n \n def test_eoproduct_download_http_extract(self):\n \"\"\"eoproduct.download over must be able to extract a product\"\"\"\n@@ -324,24 +331,25 @@ class TestEOProduct(EODagTestCase):\n downloader = HTTPDownload(provider=self.provider, config=dl_config)\n product.register_downloader(downloader, None)\n \n- # Download\n- product_dir_path = product.download()\n- product_dir_path = pathlib.Path(product_dir_path)\n- # The returned path must be a directory.\n- self.assertTrue(product_dir_path.is_dir())\n- # Check that the extracted dir has at least one file, there are more\n- # but that should be enough.\n- self.assertGreaterEqual(len(list(product_dir_path.glob(\"**/*\"))), 1)\n- # The zip file should is around\n- product_zip_file = product_dir_path.with_suffix(\".SAFE.zip\")\n- self.assertTrue(product_zip_file.is_file)\n-\n- download_records_dir = pathlib.Path(product_dir_path).parent / \".downloaded\"\n-\n- # Teardown\n- shutil.rmtree(str(product_dir_path))\n- os.remove(str(product_zip_file))\n- shutil.rmtree(str(download_records_dir))\n+ try:\n+ # Download\n+ product_dir_path = product.download()\n+ product_dir_path = pathlib.Path(product_dir_path)\n+ # The returned path must be a directory.\n+ self.assertTrue(product_dir_path.is_dir())\n+ # Check that the extracted dir has at least one file, there are more\n+ # but that should be enough.\n+ self.assertGreaterEqual(len(list(product_dir_path.glob(\"**/*\"))), 1)\n+ # The zip file should is around\n+ product_zip_file = product_dir_path.with_suffix(\".SAFE.zip\")\n+ self.assertTrue(product_zip_file.is_file)\n+\n+ download_records_dir = pathlib.Path(product_dir_path).parent / \".downloaded\"\n+ finally:\n+ # Teardown\n+ shutil.rmtree(str(product_dir_path))\n+ os.remove(str(product_zip_file))\n+ shutil.rmtree(str(download_records_dir))\n \n def test_eoproduct_download_http_dynamic_options(self):\n \"\"\"eoproduct.download must accept the download options to be set automatically\"\"\"\n@@ -358,34 +366,35 @@ class TestEOProduct(EODagTestCase):\n \n output_dir_name = \"_testeodag\"\n output_dir = pathlib.Path(tempfile.gettempdir()) / output_dir_name\n- if output_dir.is_dir():\n+ try:\n+ if output_dir.is_dir():\n+ shutil.rmtree(str(output_dir))\n+ output_dir.mkdir()\n+\n+ # Download\n+ product_dir_path = product.download(\n+ outputs_prefix=str(output_dir),\n+ extract=True,\n+ dl_url_params={\"fakeparam\": \"dummy\"},\n+ )\n+ # Check that dl_url_params are properly passed to the GET request\n+ self.requests_http_get.assert_called_with(\n+ self.download_url, stream=True, auth=None, params={\"fakeparam\": \"dummy\"}\n+ )\n+ # Check that \"outputs_prefix\" is respected.\n+ product_dir_path = pathlib.Path(product_dir_path)\n+ self.assertEqual(product_dir_path.parent.name, output_dir_name)\n+ # We've asked to extract the product so there should be a directory.\n+ self.assertTrue(product_dir_path.is_dir())\n+ # Check that the extracted dir has at least one file, there are more\n+ # but that should be enough.\n+ self.assertGreaterEqual(len(list(product_dir_path.glob(\"**/*\"))), 1)\n+ # The downloaded zip file is still around\n+ product_zip_file = product_dir_path.with_suffix(\".SAFE.zip\")\n+ self.assertTrue(product_zip_file.is_file)\n+ finally:\n+ # Teardown (all the created files are within outputs_prefix)\n shutil.rmtree(str(output_dir))\n- output_dir.mkdir()\n-\n- # Download\n- product_dir_path = product.download(\n- outputs_prefix=str(output_dir),\n- extract=True,\n- dl_url_params={\"fakeparam\": \"dummy\"},\n- )\n- # Check that dl_url_params are properly passed to the GET request\n- self.requests_http_get.assert_called_with(\n- self.download_url, stream=True, auth=None, params={\"fakeparam\": \"dummy\"}\n- )\n- # Check that \"outputs_prefix\" is respected.\n- product_dir_path = pathlib.Path(product_dir_path)\n- self.assertEqual(product_dir_path.parent.name, output_dir_name)\n- # We've asked to extract the product so there should be a directory.\n- self.assertTrue(product_dir_path.is_dir())\n- # Check that the extracted dir has at least one file, there are more\n- # but that should be enough.\n- self.assertGreaterEqual(len(list(product_dir_path.glob(\"**/*\"))), 1)\n- # The downloaded zip file is still around\n- product_zip_file = product_dir_path.with_suffix(\".SAFE.zip\")\n- self.assertTrue(product_zip_file.is_file)\n-\n- # Teardown (all the created files are within outputs_prefix)\n- shutil.rmtree(str(output_dir))\n \n def _download_response_archive(self):\n class Response(object):\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_many_modified_files\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 0,\n \"issue_text_score\": 2,\n \"test_score\": 3\n },\n \"num_modified_files\": 2\n}"},"version":{"kind":"string","value":"2.2"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@84aac9405cd346a366e7499d043e1e6959a66f30#egg=eodag\nexceptiongroup==1.2.2\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - exceptiongroup==1.2.2\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - nose==1.3.7\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default"],"string":"[\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none"],"string":"[\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom"],"string":"[\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-249"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-249"}}},{"rowIdx":453,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-253"},"base_commit":{"kind":"string","value":"0632e4147f26119bea43e0672f6d06e75d216a20"},"created_at":{"kind":"string","value":"2021-04-21 15:44:30"},"environment_setup_commit":{"kind":"string","value":"f32b8071ac367db96ff8f9f8709f0771f9d898f2"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 6efceb2a..556d03c9 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -47,6 +47,7 @@ from eodag.utils import (\n _deprecated,\n get_geometry_from_various,\n makedirs,\n+ uri_to_path,\n )\n from eodag.utils.exceptions import (\n NoMatchingProductType,\n@@ -434,7 +435,7 @@ class EODataAccessGateway(object):\n if results is None:\n results = searcher.search(query, limit=None)\n else:\n- results.upgrade_and_extend(searcher.search(query))\n+ results.upgrade_and_extend(searcher.search(query, limit=None))\n guesses = [r[\"ID\"] for r in results or []]\n if guesses:\n return guesses\n@@ -844,6 +845,19 @@ class EODataAccessGateway(object):\n if product_type is None:\n try:\n guesses = self.guess_product_type(**kwargs)\n+\n+ # guess_product_type raises a NoMatchingProductType error if no product\n+ # is found. Here, the supported search params are removed from the\n+ # kwargs if present, not to propagate them to the query itself.\n+ for param in (\n+ \"instrument\",\n+ \"platform\",\n+ \"platformSerialIdentifier\",\n+ \"processingLevel\",\n+ \"sensorType\",\n+ ):\n+ kwargs.pop(param, None)\n+\n # By now, only use the best bet\n product_type = guesses[0]\n except NoMatchingProductType:\n@@ -1281,8 +1295,10 @@ class EODataAccessGateway(object):\n This is an alias to the method of the same name on\n :class:`~eodag.api.product.EOProduct`, but it performs some additional\n checks like verifying that a downloader and authenticator are registered\n- for the product before trying to download it. If the metadata mapping for\n- `downloadLink` is set to something that can be interpreted as a link on a\n+ for the product before trying to download it.\n+\n+ If the metadata mapping for `downloadLink` is set to something that can be\n+ interpreted as a link on a\n local filesystem, the download is skipped (by now, only a link starting\n with `file://` is supported). Therefore, any user that knows how to extract\n product location from product metadata on a provider can override the\n@@ -1316,10 +1332,15 @@ class EODataAccessGateway(object):\n :rtype: str\n :raises: :class:`~eodag.utils.exceptions.PluginImplementationError`\n :raises: :class:`RuntimeError`\n+\n+ .. versionchanged:: 2.3.0\n+\n+ Returns a file system path instead of a file URI ('/tmp' instead of\n+ 'file:///tmp').\n \"\"\"\n- if product.location.startswith(\"file\"):\n+ if product.location.startswith(\"file://\"):\n logger.info(\"Local product detected. Download skipped\")\n- return product.location\n+ return uri_to_path(product.location)\n if product.downloader is None:\n auth = product.downloader_auth\n if auth is None:\ndiff --git a/eodag/api/product/_product.py b/eodag/api/product/_product.py\nindex a0d98184..a40e74bd 100644\n--- a/eodag/api/product/_product.py\n+++ b/eodag/api/product/_product.py\n@@ -240,6 +240,11 @@ class EOProduct(object):\n :rtype: str\n :raises: :class:`~eodag.utils.exceptions.PluginImplementationError`\n :raises: :class:`RuntimeError`\n+\n+ .. versionchanged:: 2.3.0\n+\n+ Returns a file system path instead of a file URI ('/tmp' instead of\n+ 'file:///tmp').\n \"\"\"\n if progress_callback is None:\n progress_callback = ProgressCallback()\n@@ -254,7 +259,7 @@ class EOProduct(object):\n if self.downloader_auth is not None\n else self.downloader_auth\n )\n- fs_location = self.downloader.download(\n+ fs_path = self.downloader.download(\n self,\n auth=auth,\n progress_callback=progress_callback,\n@@ -262,13 +267,8 @@ class EOProduct(object):\n timeout=timeout,\n **kwargs\n )\n- if fs_location is None:\n- raise DownloadError(\n- \"Invalid file location returned by download process: '{}'\".format(\n- fs_location\n- )\n- )\n- self.location = \"file://{}\".format(fs_location)\n+ if fs_path is None:\n+ raise DownloadError(\"Missing file location returned by download process\")\n logger.debug(\n \"Product location updated from '%s' to '%s'\",\n self.remote_location,\n@@ -279,7 +279,7 @@ class EOProduct(object):\n \"'remote_location' property: %s\",\n self.remote_location,\n )\n- return self.location\n+ return fs_path\n \n def get_quicklook(self, filename=None, base_dir=None, progress_callback=None):\n \"\"\"Download the quick look image of a given EOProduct from its provider if it\ndiff --git a/eodag/plugins/apis/base.py b/eodag/plugins/apis/base.py\nindex 6a775973..b6d385ef 100644\n--- a/eodag/plugins/apis/base.py\n+++ b/eodag/plugins/apis/base.py\n@@ -18,12 +18,40 @@\n import logging\n \n from eodag.plugins.base import PluginTopic\n+from eodag.plugins.download.base import DEFAULT_DOWNLOAD_TIMEOUT, DEFAULT_DOWNLOAD_WAIT\n \n logger = logging.getLogger(\"eodag.plugins.apis.base\")\n \n \n class Api(PluginTopic):\n- \"\"\"Plugins API Base plugin\"\"\"\n+ \"\"\"Plugins API Base plugin\n+\n+ An Api plugin has three download methods that it must implement:\n+ - ``query``: search for products\n+ - ``download``: download a single ``EOProduct``\n+ - ``download_all``: download multiple products from a ``SearchResult``\n+\n+ The download methods must:\n+ - download data in the ``outputs_prefix`` folder defined in the plugin's\n+ configuration or passed through kwargs\n+ - extract products from their archive (if relevant) if ``extract`` is set to True\n+ (True by default)\n+ - save a product in an archive/directory (in ``outputs_prefix``) whose name must be\n+ the product's ``title`` property\n+ - update the product's ``location`` attribute once its data is downloaded (and\n+ eventually after it's extracted) to the product's location given as a file URI\n+ (e.g. 'file:///tmp/product_folder' on Linux or\n+ 'file:///C:/Users/username/AppData/LOcal/Temp' on Windows)\n+ - save a *record* file in the directory ``outputs_prefix/.downloaded`` whose name\n+ is built on the MD5 hash of the product's ``remote_location`` attribute\n+ (``hashlib.md5(remote_location.encode(\"utf-8\")).hexdigest()``) and whose content is\n+ the product's ``remote_location`` attribute itself.\n+ - not try to download a product whose ``location`` attribute already points to an\n+ existing file/directory\n+ - not try to download a product if its *record* file exists as long as the expected\n+ product's file/directory. If the *record* file only is found, it must be deleted\n+ (it certainly indicates that the download didn't complete)\n+ \"\"\"\n \n def query(self, *args, count=True, **kwargs):\n \"\"\"Implementation of how the products must be searched goes here.\n@@ -32,14 +60,77 @@ class Api(PluginTopic):\n which will be processed by a Download plugin (2) and the total number of products matching\n the search criteria. If ``count`` is False, the second element returned must be ``None``.\n \n- .. versionchanged::\n- 2.1\n+ .. versionchanged:: 2.1\n \n- * A new optional boolean parameter ``count`` which defaults to ``True``, it\n- allows to trigger or not a count query.\n+ A new optional boolean parameter ``count`` which defaults to ``True``, it\n+ allows to trigger or not a count query.\n \"\"\"\n raise NotImplementedError(\"A Api plugin must implement a method named query\")\n \n- def download(self, *args, **kwargs):\n- \"\"\"Implementation of how the products must be downloaded.\"\"\"\n- raise NotImplementedError(\"A Api plugin must implement a method named download\")\n+ def download(\n+ self,\n+ product,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n+ r\"\"\"\n+ Base download method. Not available, it must be defined for each plugin.\n+\n+ :param product: EO product to download\n+ :type product: :class:`~eodag.api.product.EOProduct`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: The absolute path to the downloaded product in the local filesystem\n+ (e.g. '/tmp/product.zip' on Linux or\n+ 'C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip' on Windows)\n+ :rtype: str\n+ \"\"\"\n+ raise NotImplementedError(\n+ \"An Api plugin must implement a method named download\"\n+ )\n+\n+ def download_all(\n+ self,\n+ products,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n+ \"\"\"\n+ Base download_all method.\n+\n+ :param products: Products to download\n+ :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: List of absolute paths to the downloaded products in the local\n+ filesystem (e.g. ``['/tmp/product.zip']`` on Linux or\n+ ``['C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip']`` on Windows)\n+ :rtype: list\n+ \"\"\"\n+ raise NotImplementedError(\n+ \"A Api plugin must implement a method named download_all\"\n+ )\ndiff --git a/eodag/plugins/apis/usgs.py b/eodag/plugins/apis/usgs.py\nindex 37ce4443..768778e5 100644\n--- a/eodag/plugins/apis/usgs.py\n+++ b/eodag/plugins/apis/usgs.py\n@@ -37,7 +37,12 @@ from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_WAIT,\n Download,\n )\n-from eodag.utils import GENERIC_PRODUCT_TYPE, format_dict_items, get_progress_callback\n+from eodag.utils import (\n+ GENERIC_PRODUCT_TYPE,\n+ format_dict_items,\n+ get_progress_callback,\n+ path_to_uri,\n+)\n from eodag.utils.exceptions import AuthenticationError, NotAvailableError\n \n logger = logging.getLogger(\"eodag.plugins.apis.usgs\")\n@@ -164,6 +169,8 @@ class UsgsApi(Api, Download):\n product, outputs_extension=\".tar.gz\", **kwargs\n )\n if not fs_path or not record_filename:\n+ if fs_path:\n+ product.location = path_to_uri(fs_path)\n return fs_path\n \n # progress bar init\n@@ -264,8 +271,11 @@ class UsgsApi(Api, Download):\n )\n new_fs_path = fs_path[: fs_path.index(\".tar.gz\")]\n shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n return new_fs_path\n- return self._finalize(fs_path, outputs_extension=\".tar.gz\", **kwargs)\n+ product_path = self._finalize(fs_path, outputs_extension=\".tar.gz\", **kwargs)\n+ product.location = path_to_uri(product_path)\n+ return product_path\n \n def download_all(\n self,\ndiff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex 2f0b132d..687985c6 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -34,7 +34,7 @@ from eodag.api.product.metadata_mapping import (\n properties_from_xml,\n )\n from eodag.plugins.download.base import Download\n-from eodag.utils import get_progress_callback, urlparse\n+from eodag.utils import get_progress_callback, path_to_uri, urlparse\n from eodag.utils.exceptions import AuthenticationError, DownloadError\n \n logger = logging.getLogger(\"eodag.plugins.download.aws\")\n@@ -185,6 +185,8 @@ class AwsDownload(Download):\n # prepare download & create dirs (before updating metadata)\n product_local_path, record_filename = self._prepare_download(product, **kwargs)\n if not product_local_path or not record_filename:\n+ if product_local_path:\n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n product_local_path = product_local_path.replace(\".zip\", \"\")\n # remove existing incomplete file\n@@ -395,6 +397,7 @@ class AwsDownload(Download):\n fh.write(product.remote_location)\n logger.debug(\"Download recorded in %s\", record_filename)\n \n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n \n def get_authenticated_objects(self, bucket_name, prefix, auth_dict):\ndiff --git a/eodag/plugins/download/base.py b/eodag/plugins/download/base.py\nindex 8d6dbd3e..bfcb8ac1 100644\n--- a/eodag/plugins/download/base.py\n+++ b/eodag/plugins/download/base.py\n@@ -25,7 +25,7 @@ from datetime import datetime, timedelta\n from time import sleep\n \n from eodag.plugins.base import PluginTopic\n-from eodag.utils import get_progress_callback, sanitize\n+from eodag.utils import get_progress_callback, sanitize, uri_to_path\n from eodag.utils.exceptions import (\n AuthenticationError,\n MisconfiguredError,\n@@ -43,6 +43,31 @@ DEFAULT_DOWNLOAD_TIMEOUT = 20\n class Download(PluginTopic):\n \"\"\"Base Download Plugin.\n \n+ A Download plugin has two download methods that it must implement:\n+ - ``download``: download a single ``EOProduct``\n+ - ``download_all``: download multiple products from a ``SearchResult``\n+\n+ They must:\n+ - download data in the ``outputs_prefix`` folder defined in the plugin's\n+ configuration or passed through kwargs\n+ - extract products from their archive (if relevant) if ``extract`` is set to True\n+ (True by default)\n+ - save a product in an archive/directory (in ``outputs_prefix``) whose name must be\n+ the product's ``title`` property\n+ - update the product's ``location`` attribute once its data is downloaded (and\n+ eventually after it's extracted) to the product's location given as a file URI\n+ (e.g. 'file:///tmp/product_folder' on Linux or\n+ 'file:///C:/Users/username/AppData/LOcal/Temp' on Windows)\n+ - save a *record* file in the directory ``outputs_prefix/.downloaded`` whose name\n+ is built on the MD5 hash of the product's ``remote_location`` attribute\n+ (``hashlib.md5(remote_location.encode(\"utf-8\")).hexdigest()``) and whose content is\n+ the product's ``remote_location`` attribute itself.\n+ - not try to download a product whose ``location`` attribute already points to an\n+ existing file/directory\n+ - not try to download a product if its *record* file exists as long as the expected\n+ product's file/directory. If the *record* file only is found, it must be deleted\n+ (it certainly indicates that the download didn't complete)\n+\n :param provider: An eodag providers configuration dictionary\n :type provider: dict\n :param config: Path to the user configuration file\n@@ -62,8 +87,26 @@ class Download(PluginTopic):\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n **kwargs,\n ):\n- \"\"\"\n- Base download method. Not available, should be defined for each plugin\n+ r\"\"\"\n+ Base download method. Not available, it must be defined for each plugin.\n+\n+ :param product: EO product to download\n+ :type product: :class:`~eodag.api.product.EOProduct`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: The absolute path to the downloaded product in the local filesystem\n+ (e.g. '/tmp/product.zip' on Linux or\n+ 'C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip' on Windows)\n+ :rtype: str\n \"\"\"\n raise NotImplementedError(\n \"A Download plugin must implement a method named download\"\n@@ -78,8 +121,7 @@ class Download(PluginTopic):\n :rtype: tuple\n \"\"\"\n if product.location != product.remote_location:\n- scheme_prefix_len = len(\"file://\")\n- fs_path = product.location[scheme_prefix_len:]\n+ fs_path = uri_to_path(product.location)\n # The fs path of a product is either a file (if 'extract' config is False) or a directory\n if os.path.isfile(fs_path) or os.path.isdir(fs_path):\n logger.info(\n@@ -249,9 +291,32 @@ class Download(PluginTopic):\n **kwargs,\n ):\n \"\"\"\n- A sequential download_all implementation\n- using download method for every products\n+ Base download_all method.\n+\n+ This specific implementation uses the ``download`` method implemented by\n+ the plugin to **sequentially** attempt to download products.\n+\n+ :param products: Products to download\n+ :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: List of absolute paths to the downloaded products in the local\n+ filesystem (e.g. ``['/tmp/product.zip']`` on Linux or\n+ ``['C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip']`` on Windows)\n+ :rtype: list\n \"\"\"\n+ # Products are going to be removed one by one from this sequence once\n+ # downloaded.\n+ products = products[:]\n paths = []\n # initiate retry loop\n start_time = datetime.now()\ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 11662a18..f54fff86 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -32,7 +32,7 @@ from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_WAIT,\n Download,\n )\n-from eodag.utils import get_progress_callback\n+from eodag.utils import get_progress_callback, path_to_uri\n from eodag.utils.exceptions import (\n AuthenticationError,\n MisconfiguredError,\n@@ -70,6 +70,8 @@ class HTTPDownload(Download):\n \"\"\"\n fs_path, record_filename = self._prepare_download(product, **kwargs)\n if not fs_path or not record_filename:\n+ if fs_path:\n+ product.location = path_to_uri(fs_path)\n return fs_path\n \n # progress bar init\n@@ -80,7 +82,7 @@ class HTTPDownload(Download):\n \n # download assets if exist instead of remote_location\n try:\n- return self._download_assets(\n+ fs_path = self._download_assets(\n product,\n fs_path.replace(\".zip\", \"\"),\n record_filename,\n@@ -88,6 +90,8 @@ class HTTPDownload(Download):\n progress_callback,\n **kwargs\n )\n+ product.location = path_to_uri(fs_path)\n+ return fs_path\n except NotAvailableError:\n pass\n \n@@ -218,8 +222,11 @@ class HTTPDownload(Download):\n )\n new_fs_path = fs_path[: fs_path.index(\".zip\")]\n shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n return new_fs_path\n- return self._finalize(fs_path, **kwargs)\n+ product_path = self._finalize(fs_path, **kwargs)\n+ product.location = path_to_uri(product_path)\n+ return product_path\n \n except NotAvailableError as e:\n if not getattr(self.config, \"order_enabled\", False):\ndiff --git a/eodag/plugins/download/s3rest.py b/eodag/plugins/download/s3rest.py\nindex 71876ea4..2f5628b9 100644\n--- a/eodag/plugins/download/s3rest.py\n+++ b/eodag/plugins/download/s3rest.py\n@@ -29,7 +29,7 @@ from requests import HTTPError\n from eodag.api.product.metadata_mapping import OFFLINE_STATUS\n from eodag.plugins.download.aws import AwsDownload\n from eodag.plugins.download.http import HTTPDownload\n-from eodag.utils import get_progress_callback, urljoin\n+from eodag.utils import get_progress_callback, path_to_uri, urljoin\n from eodag.utils.exceptions import (\n AuthenticationError,\n DownloadError,\n@@ -158,6 +158,7 @@ class S3RestDownload(AwsDownload):\n url_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n record_filename = os.path.join(download_records_dir, url_hash)\n if os.path.isfile(record_filename) and os.path.exists(product_local_path):\n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n # Remove the record file if product_local_path is absent (e.g. it was deleted while record wasn't)\n elif os.path.isfile(record_filename):\n@@ -215,4 +216,5 @@ class S3RestDownload(AwsDownload):\n fh.write(product.remote_location)\n logger.debug(\"Download recorded in %s\", record_filename)\n \n+ product.location = path_to_uri(product_local_path)\n return product_local_path\ndiff --git a/eodag/rest/utils.py b/eodag/rest/utils.py\nindex f48e3eb0..2c6f7e9d 100644\n--- a/eodag/rest/utils.py\n+++ b/eodag/rest/utils.py\n@@ -463,7 +463,7 @@ def download_stac_item_by_id(catalogs, item_id, provider=None):\n \n product_path = eodag_api.download(product)\n \n- return product_path.replace(\"file://\", \"\")\n+ return product_path\n \n \n def get_stac_catalogs(url, root=\"/\", catalogs=[], provider=None):\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 70798110..0c21649b 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -35,6 +35,7 @@ import warnings\n from collections import defaultdict\n from datetime import datetime, timezone\n from itertools import repeat, starmap\n+from pathlib import Path\n \n # All modules using these should import them from utils package\n from urllib.parse import ( # noqa; noqa\n@@ -43,8 +44,10 @@ from urllib.parse import ( # noqa; noqa\n urlencode,\n urljoin,\n urlparse,\n+ urlsplit,\n urlunparse,\n )\n+from urllib.request import url2pathname\n \n import click\n import shapefile\n@@ -203,6 +206,24 @@ def strip_accents(s):\n )\n \n \n+def uri_to_path(uri):\n+ \"\"\"\n+ Convert a file URI (e.g. 'file:///tmp') to a local path (e.g. '/tmp')\n+ \"\"\"\n+ if not uri.startswith(\"file\"):\n+ raise ValueError(\"A file URI must be provided (e.g. 'file:///tmp'\")\n+ _, _, path, _, _ = urlsplit(uri)\n+ # On Windows urlsplit returns the path starting with a slash ('/C:/User)\n+ path = url2pathname(path)\n+ # url2pathname removes it\n+ return path\n+\n+\n+def path_to_uri(path):\n+ \"\"\"Convert a local absolute path to a file URI\"\"\"\n+ return Path(path).as_uri()\n+\n+\n def mutate_dict_in_place(func, mapping):\n \"\"\"Apply func to values of mapping.\n \n@@ -853,13 +874,13 @@ def _deprecated(reason=\"\", version=None):\n \n @functools.wraps(callable)\n def wrapper(*args, **kwargs):\n- warnings.simplefilter(\"always\", DeprecationWarning)\n- warnings.warn(\n- f\"Call to deprecated {ctype} {cname} {reason_}{version_}\",\n- category=DeprecationWarning,\n- stacklevel=2,\n- )\n- warnings.simplefilter(\"default\", DeprecationWarning)\n+ with warnings.catch_warnings():\n+ warnings.simplefilter(\"always\", DeprecationWarning)\n+ warnings.warn(\n+ f\"Call to deprecated {ctype} {cname} {reason_}{version_}\",\n+ category=DeprecationWarning,\n+ stacklevel=2,\n+ )\n return callable(*args, **kwargs)\n \n return wrapper\n"},"problem_statement":{"kind":"string","value":"download_all removes the products contained by the passed SearchResult\nThe items of a `SearchResult` (it could also just be a list of `EOProduct`) passed to `download_all` can get cleared by the method. I observed this behaviour with downloading products from *peps*. If it is the intended behaviour, it should be well documented because it is quite surprising.\r\n\r\nIf not, the problem comes certainly from this line (*PEPS* uses a HTTPPlugin which itself uses the base implementation of `search_all`):\r\nhttps://github.com/CS-SI/eodag/blob/fec965f791a74dbf658e0833e1507b7ac950d09d/eodag/plugins/download/base.py#L308\r\n\r\nRun this snippet to reproduce the bug:\r\n\r\n```python\r\nfrom eodag import EODataAccessGateway\r\nfrom eodag.api.search_result import SearchResult\r\n\r\ndag = EODataAccessGateway('path/to/peps_config.yml') # Adapt the path\r\ndag.set_preferred_provider(\"peps\")\r\n\r\nsearch_criteria = dict(\r\n productType='S2_MSI_L1C',\r\n start='2021-03-01',\r\n end='2021-03-31',\r\n geom={\"lonmin\": 1, \"latmin\": 42, \"lonmax\": 5, \"latmax\": 46},\r\n)\r\nsearch_results = dag.search_all(**search_criteria)\r\nprint(f'Got {len(search_results)} products.')\r\n\r\n# Download the smallest files\r\nsorted_prods_per_size = SearchResult(\r\n sorted(search_results, key=lambda p: p.properties[\"resourceSize\"])\r\n)\r\nprods_to_download = sorted_prods_per_size[:2]\r\n\r\n# Just to make sure not to order products\r\nassert all([p.properties[\"storageStatus\"] == \"ONLINE\" for p in prods_to_download])\r\n\r\npaths = dag.download_all(prods_to_download)\r\n\r\nif not prods_to_download:\r\n print(\"Oh oh I'm empty now\")\r\n```\r\n\r\nIf this is a bug, we should check the behaviour of the other download plugins."},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex 96807bc8..df74276a 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -44,7 +44,13 @@ from eodag.plugins.manager import PluginManager\n from eodag.plugins.search.base import Search\n from eodag.rest import server as eodag_http_server\n from eodag.rest.utils import eodag_api, get_date\n-from eodag.utils import get_geometry_from_various, get_timestamp, makedirs\n+from eodag.utils import (\n+ get_geometry_from_various,\n+ get_timestamp,\n+ makedirs,\n+ path_to_uri,\n+ uri_to_path,\n+)\n from eodag.utils.exceptions import (\n AddressNotFound,\n AuthenticationError,\ndiff --git a/tests/test_cli.py b/tests/test_cli.py\nindex 94e07cc3..a4171dbb 100644\n--- a/tests/test_cli.py\n+++ b/tests/test_cli.py\n@@ -427,7 +427,7 @@ class TestEodagCli(unittest.TestCase):\n TEST_RESOURCES_PATH, \"eodag_search_result.geojson\"\n )\n config_path = os.path.join(TEST_RESOURCES_PATH, \"file_config_override.yml\")\n- dag.return_value.download_all.return_value = [\"file:///fake_path\"]\n+ dag.return_value.download_all.return_value = [\"/fake_path\"]\n result = self.runner.invoke(\n eodag,\n [\"download\", \"--search-results\", search_results_path, \"-f\", config_path],\n@@ -435,7 +435,7 @@ class TestEodagCli(unittest.TestCase):\n dag.assert_called_once_with(user_conf_file_path=config_path)\n dag.return_value.deserialize.assert_called_once_with(search_results_path)\n self.assertEqual(dag.return_value.download_all.call_count, 1)\n- self.assertEqual(\"Downloaded file:///fake_path\\n\", result.output)\n+ self.assertEqual(\"Downloaded /fake_path\\n\", result.output)\n \n # Testing the case when no downloaded path is returned\n dag.return_value.download_all.return_value = [None]\ndiff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py\nindex be2dee90..ca0a145c 100644\n--- a/tests/test_end_to_end.py\n+++ b/tests/test_end_to_end.py\n@@ -18,15 +18,22 @@\n \n import datetime\n import glob\n+import hashlib\n import multiprocessing\n import os\n import shutil\n+import time\n import unittest\n from pathlib import Path\n \n from eodag.api.product.metadata_mapping import ONLINE_STATUS\n from tests import TEST_RESOURCES_PATH, TESTS_DOWNLOAD_PATH\n-from tests.context import AuthenticationError, EODataAccessGateway\n+from tests.context import (\n+ AuthenticationError,\n+ EODataAccessGateway,\n+ SearchResult,\n+ uri_to_path,\n+)\n \n THEIA_SEARCH_ARGS = [\n \"theia\",\n@@ -148,8 +155,8 @@ class EndToEndBase(unittest.TestCase):\n \"\"\"\n search_criteria = {\n \"productType\": product_type,\n- \"startTimeFromAscendingNode\": start,\n- \"completionTimeFromAscendingNode\": end,\n+ \"start\": start,\n+ \"end\": end,\n \"geom\": geom,\n }\n if items_per_page:\n@@ -190,8 +197,8 @@ class EndToEndBase(unittest.TestCase):\n - Return all the products\n \"\"\"\n search_criteria = {\n- \"startTimeFromAscendingNode\": start,\n- \"completionTimeFromAscendingNode\": end,\n+ \"start\": start,\n+ \"end\": end,\n \"geom\": geom,\n }\n self.eodag.set_preferred_provider(provider)\n@@ -428,6 +435,196 @@ class TestEODagEndToEnd(EndToEndBase):\n self.assertGreater(len(results), 10)\n \n \n+class TestEODagEndToEndComplete(unittest.TestCase):\n+ \"\"\"Make real and complete test cases that search for products, download them and\n+ extract them. There should be just a tiny number of these tests which can be quite\n+ long to run.\n+\n+ There must be a user conf file in the test resources folder named user_conf.yml\n+ \"\"\"\n+\n+ @classmethod\n+ def setUpClass(cls):\n+\n+ # use tests/resources/user_conf.yml if exists else default file ~/.config/eodag/eodag.yml\n+ tests_user_conf = os.path.join(TEST_RESOURCES_PATH, \"user_conf.yml\")\n+ if not os.path.isfile(tests_user_conf):\n+ unittest.SkipTest(\"Missing user conf file with credentials\")\n+ cls.eodag = EODataAccessGateway(\n+ user_conf_file_path=os.path.join(TEST_RESOURCES_PATH, \"user_conf.yml\")\n+ )\n+\n+ # create TESTS_DOWNLOAD_PATH is not exists\n+ if not os.path.exists(TESTS_DOWNLOAD_PATH):\n+ os.makedirs(TESTS_DOWNLOAD_PATH)\n+\n+ for provider, conf in cls.eodag.providers_config.items():\n+ # Change download directory to TESTS_DOWNLOAD_PATH for tests\n+ if hasattr(conf, \"download\") and hasattr(conf.download, \"outputs_prefix\"):\n+ conf.download.outputs_prefix = TESTS_DOWNLOAD_PATH\n+ elif hasattr(conf, \"api\") and hasattr(conf.api, \"outputs_prefix\"):\n+ conf.api.outputs_prefix = TESTS_DOWNLOAD_PATH\n+ else:\n+ # no outputs_prefix found for provider\n+ pass\n+ # Force all providers implementing RestoSearch and defining how to retrieve\n+ # products by specifying the\n+ # location scheme to use https, enabling actual downloading of the product\n+ if (\n+ getattr(getattr(conf, \"search\", {}), \"product_location_scheme\", \"https\")\n+ == \"file\"\n+ ):\n+ conf.search.product_location_scheme = \"https\"\n+\n+ def tearDown(self):\n+ \"\"\"Clear the test directory\"\"\"\n+ for p in Path(TESTS_DOWNLOAD_PATH).glob(\"**/*\"):\n+ try:\n+ os.remove(p)\n+ except OSError:\n+ shutil.rmtree(p)\n+\n+ def test_end_to_end_complete_peps(self):\n+ \"\"\"Complete end-to-end test with PEPS for download and download_all\"\"\"\n+ # Search for products that are ONLINE and as small as possible\n+ today = datetime.date.today()\n+ month_span = datetime.timedelta(weeks=4)\n+ search_results, _ = self.eodag.search(\n+ productType=\"S2_MSI_L1C\",\n+ start=(today - month_span).isoformat(),\n+ end=today.isoformat(),\n+ geom={\"lonmin\": 1, \"latmin\": 42, \"lonmax\": 5, \"latmax\": 46},\n+ items_per_page=100,\n+ )\n+ prods_sorted_by_size = SearchResult(\n+ sorted(search_results, key=lambda p: p.properties[\"resourceSize\"])\n+ )\n+ prods_online = [\n+ p for p in prods_sorted_by_size if p.properties[\"storageStatus\"] == \"ONLINE\"\n+ ]\n+ if len(prods_online) < 2:\n+ unittest.skip(\n+ \"Not enough ONLINE products found, update the search criteria.\"\n+ )\n+\n+ # Retrieve one product to work with\n+ product = prods_online[0]\n+\n+ prev_remote_location = product.remote_location\n+ prev_location = product.location\n+ # The expected product's archive filename is based on the product's title\n+ expected_product_name = f\"{product.properties['title']}.zip\"\n+\n+ # Download the product, but DON'T extract it\n+ archive_file_path = self.eodag.download(product, extract=False)\n+\n+ # The archive must have been downloaded\n+ self.assertTrue(os.path.isfile(archive_file_path))\n+ # Its name must be the \"{product_title}.zip\"\n+ self.assertIn(\n+ expected_product_name, os.listdir(product.downloader.config.outputs_prefix)\n+ )\n+ # Its size should be >= 5 KB\n+ archive_size = os.stat(archive_file_path).st_size\n+ self.assertGreaterEqual(archive_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # That points to the downloaded archive\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+ # A .downloaded folder must have been created\n+ record_dir = os.path.join(TESTS_DOWNLOAD_PATH, \".downloaded\")\n+ self.assertTrue(os.path.isdir(record_dir))\n+ # It must contain a file per product downloade, whose name is\n+ # the MD5 hash of the product's remote location\n+ expected_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n+ record_file = os.path.join(record_dir, expected_hash)\n+ self.assertTrue(os.path.isfile(record_file))\n+ # Its content must be the product's remote location\n+ record_content = Path(record_file).read_text()\n+ self.assertEqual(record_content, product.remote_location)\n+\n+ # The product should not be downloaded again if the download method\n+ # is executed again\n+ previous_archive_file_path = archive_file_path\n+ previous_location = product.location\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The paths should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(product.location, previous_location)\n+\n+ # If we emulate that the product has just been found, it should not\n+ # be downloaded again since the record file is still present.\n+ product.location = product.remote_location\n+ # Pretty much the same checks as with the previous step\n+ previous_archive_file_path = archive_file_path\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The returned path should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+\n+ # Remove the archive\n+ os.remove(archive_file_path)\n+\n+ # Now, the archive is removed but its associated record file\n+ # still exists. Downloading the product again should really\n+ # download it, if its location points to the remote location.\n+ # The product should be automatically extracted.\n+ product.location = product.remote_location\n+ product_dir_path = self.eodag.download(product)\n+\n+ # Its size should be >= 5 KB\n+ downloaded_size = sum(\n+ f.stat().st_size for f in Path(product_dir_path).glob(\"**/*\") if f.is_file()\n+ )\n+ self.assertGreaterEqual(downloaded_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # The location must point to a SAFE directory\n+ self.assertTrue(product.location.endswith(\"SAFE\"))\n+ # The path must point to a SAFE directory\n+ self.assertTrue(os.path.isdir(product_dir_path))\n+ self.assertTrue(product_dir_path.endswith(\"SAFE\"))\n+\n+ # Remove the archive and extracted product and reset the product's location\n+ os.remove(archive_file_path)\n+ shutil.rmtree(Path(product_dir_path).parent)\n+ product.location = product.remote_location\n+\n+ # Now let's check download_all\n+ products = prods_sorted_by_size[:2]\n+ # Pass a copy because download_all empties the list\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+\n+ # The returned paths must point to the downloaded archives\n+ # Each product's location must be a URI path to the archive\n+ for product, archive_path in zip(products, archive_paths):\n+ self.assertTrue(os.path.isfile(archive_path))\n+ self.assertEqual(uri_to_path(product.location), archive_path)\n+\n+ # Downloading the product again should not download them, since\n+ # they are all already there.\n+ prev_archive_paths = archive_paths\n+ start_time = time.time()\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ self.assertEqual(archive_paths, prev_archive_paths)\n+\n+\n # @unittest.skip(\"skip auto run\")\n class TestEODagEndToEndWrongCredentials(EndToEndBase):\n \"\"\"Make real case tests with wrong credentials. This assumes the existence of a\n@@ -462,7 +659,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n \n def test_end_to_end_good_apikey_wrong_credentials_aws_eos(self):\n@@ -489,7 +686,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n self.assertGreater(len(results), 0)\n one_product = results[0]\n@@ -525,5 +722,5 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], USGS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\ndiff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex cb6022e4..69cf9a3e 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -367,7 +367,7 @@ class TestCoreGeometry(unittest.TestCase):\n \"lonmax\": 2,\n \"latmax\": 52,\n }\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # Bad dict with a missing key\n del geometry[\"lonmin\"]\n self.assertRaises(\n@@ -378,10 +378,10 @@ class TestCoreGeometry(unittest.TestCase):\n )\n # Tuple\n geometry = (0, 50, 2, 52)\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # List\n geometry = list(geometry)\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # List without 4 items\n geometry.pop()\n self.assertRaises(\n@@ -392,7 +392,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n # WKT\n geometry = ref_geom_as_wkt\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # Some other shapely geom\n geometry = LineString([[0, 0], [1, 1]])\n self.assertIsInstance(\n@@ -409,7 +409,7 @@ class TestCoreGeometry(unittest.TestCase):\n locations_config, locations=dict(country=\"FRA\")\n )\n self.assertIsInstance(geom_france, MultiPolygon)\n- self.assertEquals(len(geom_france), 3) # France + Guyana + Corsica\n+ self.assertEqual(len(geom_france), 3) # France + Guyana + Corsica\n \n def test_get_geometry_from_various_locations_with_wrong_location_name_in_kwargs(\n self,\n@@ -444,7 +444,7 @@ class TestCoreGeometry(unittest.TestCase):\n locations_config, locations=dict(country=\"PA[A-Z]\")\n )\n self.assertIsInstance(geom_regex_pa, MultiPolygon)\n- self.assertEquals(len(geom_regex_pa), 2)\n+ self.assertEqual(len(geom_regex_pa), 2)\n \n def test_get_geometry_from_various_locations_no_match_raises_error(self):\n \"\"\"If the location search doesn't match any of the feature attribute a ValueError must be raised\"\"\"\n@@ -468,7 +468,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n self.assertIsInstance(geom_combined, MultiPolygon)\n # France + Guyana + Corsica + somewhere over Poland\n- self.assertEquals(len(geom_combined), 4)\n+ self.assertEqual(len(geom_combined), 4)\n geometry = {\n \"lonmin\": 0,\n \"latmin\": 50,\n@@ -480,7 +480,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n self.assertIsInstance(geom_combined, MultiPolygon)\n # The bounding box overlaps with France inland\n- self.assertEquals(len(geom_combined), 3)\n+ self.assertEqual(len(geom_combined), 3)\n \n \n class TestCoreSearch(unittest.TestCase):\n@@ -546,7 +546,6 @@ class TestCoreSearch(unittest.TestCase):\n \"geometry\": None,\n \"productType\": None,\n }\n- self.assertDictContainsSubset(expected, prepared_search)\n expected = set([\"geometry\", \"productType\", \"auth\", \"search_plugin\"])\n self.assertSetEqual(expected, set(prepared_search))\n \n@@ -557,11 +556,10 @@ class TestCoreSearch(unittest.TestCase):\n \"end\": \"2020-02-01\",\n }\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\n- \"startTimeFromAscendingNode\": base[\"start\"],\n- \"completionTimeFromAscendingNode\": base[\"end\"],\n- }\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"startTimeFromAscendingNode\"], base[\"start\"])\n+ self.assertEqual(\n+ prepared_search[\"completionTimeFromAscendingNode\"], base[\"end\"]\n+ )\n \n def test__prepare_search_geom(self):\n \"\"\"_prepare_search must handle geom, box and bbox\"\"\"\n@@ -608,8 +606,7 @@ class TestCoreSearch(unittest.TestCase):\n \"\"\"_prepare_search must handle when a product type is given\"\"\"\n base = {\"productType\": \"S2_MSI_L1C\"}\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\"productType\": base[\"productType\"]}\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n \n def test__prepare_search_product_type_guess_it(self):\n \"\"\"_prepare_search must guess a product type when required to\"\"\"\n@@ -621,8 +618,19 @@ class TestCoreSearch(unittest.TestCase):\n platformSerialIdentifier=\"S2A\",\n )\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\"productType\": \"S2_MSI_L1C\", **base}\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], \"S2_MSI_L1C\")\n+\n+ def test__prepare_search_remove_guess_kwargs(self):\n+ \"\"\"_prepare_search must remove the guess kwargs\"\"\"\n+ # Uses guess_product_type to find the product matching\n+ # the best the given params.\n+ base = dict(\n+ instrument=\"MSI\",\n+ platform=\"SENTINEL2\",\n+ platformSerialIdentifier=\"S2A\",\n+ )\n+ prepared_search = self.dag._prepare_search(**base)\n+ self.assertEqual(len(base.keys() & prepared_search.keys()), 0)\n \n def test__prepare_search_with_id(self):\n \"\"\"_prepare_search must handle a search by id\"\"\"\n@@ -638,8 +646,8 @@ class TestCoreSearch(unittest.TestCase):\n \"cloudCover\": 10,\n }\n prepared_search = self.dag._prepare_search(**base)\n- expected = base\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n+ self.assertEqual(prepared_search[\"cloudCover\"], base[\"cloudCover\"])\n \n def test__prepare_search_search_plugin_has_known_product_properties(self):\n \"\"\"_prepare_search must attach the product properties to the search plugin\"\"\"\ndiff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py\nindex f43aaa84..0faf7704 100644\n--- a/tests/units/test_eoproduct.py\n+++ b/tests/units/test_eoproduct.py\n@@ -90,23 +90,18 @@ class TestEOProduct(EODagTestCase):\n self.provider, self.eoproduct_props, productType=self.product_type\n )\n geo_interface = geojson.loads(geojson.dumps(product))\n- self.assertDictContainsSubset(\n- {\n- \"type\": \"Feature\",\n- \"geometry\": self._tuples_to_lists(geometry.mapping(self.geometry)),\n- },\n- geo_interface,\n+ self.assertEqual(geo_interface[\"type\"], \"Feature\")\n+ self.assertEqual(\n+ geo_interface[\"geometry\"],\n+ self._tuples_to_lists(geometry.mapping(self.geometry)),\n )\n- self.assertDictContainsSubset(\n- {\n- \"eodag_provider\": self.provider,\n- \"eodag_search_intersection\": self._tuples_to_lists(\n- geometry.mapping(product.search_intersection)\n- ),\n- \"eodag_product_type\": self.product_type,\n- },\n- geo_interface[\"properties\"],\n+ properties = geo_interface[\"properties\"]\n+ self.assertEqual(properties[\"eodag_provider\"], self.provider)\n+ self.assertEqual(\n+ properties[\"eodag_search_intersection\"],\n+ self._tuples_to_lists(geometry.mapping(product.search_intersection)),\n )\n+ self.assertEqual(properties[\"eodag_product_type\"], self.product_type)\n \n def test_eoproduct_from_geointerface(self):\n \"\"\"EOProduct must be build-able from its geo-interface\"\"\"\n@@ -295,7 +290,6 @@ class TestEOProduct(EODagTestCase):\n self.requests_http_get.assert_called_with(\n self.download_url, stream=True, auth=None, params={}\n )\n- product_file_path = product_file_path[len(\"file://\") :]\n download_records_dir = pathlib.Path(product_file_path).parent / \".downloaded\"\n # A .downloaded folder should be created, including a text file that\n # lists the downloaded product by their url\n@@ -332,7 +326,7 @@ class TestEOProduct(EODagTestCase):\n \n # Download\n product_dir_path = product.download()\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n # The returned path must be a directory.\n self.assertTrue(product_dir_path.is_dir())\n # Check that the extracted dir has at least one file, there are more\n@@ -379,7 +373,7 @@ class TestEOProduct(EODagTestCase):\n self.download_url, stream=True, auth=None, params={\"fakeparam\": \"dummy\"}\n )\n # Check that \"outputs_prefix\" is respected.\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n self.assertEqual(product_dir_path.parent.name, output_dir_name)\n # We've asked to extract the product so there should be a directory.\n self.assertTrue(product_dir_path.is_dir())\ndiff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py\nindex 28369fee..09dd221d 100644\n--- a/tests/units/test_search_plugins.py\n+++ b/tests/units/test_search_plugins.py\n@@ -106,8 +106,8 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):\n info_message=mock.ANY,\n exception_message=mock.ANY,\n )\n- self.assertEquals(estimate, self.sobloo_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.sobloo_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n @mock.patch(\n@@ -144,7 +144,7 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n self.assertIsNone(estimate)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n \n@@ -196,8 +196,8 @@ class TestSearchPluginPostJsonSearch(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n \n- self.assertEquals(estimate, self.awseos_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.awseos_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n @mock.patch(\n@@ -232,7 +232,7 @@ class TestSearchPluginPostJsonSearch(BaseSearchPluginTest):\n )\n \n self.assertIsNone(estimate)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n \n@@ -294,6 +294,6 @@ class TestSearchPluginODataV4Search(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n \n- self.assertEquals(estimate, self.onda_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.onda_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\ndiff --git a/tests/units/test_search_result.py b/tests/units/test_search_result.py\nindex f1697117..d4e52303 100644\n--- a/tests/units/test_search_result.py\n+++ b/tests/units/test_search_result.py\n@@ -32,9 +32,8 @@ class TestSearchResult(unittest.TestCase):\n def test_search_result_geo_interface(self):\n \"\"\"SearchResult must provide a FeatureCollection geo-interface\"\"\"\n geo_interface = geojson.loads(geojson.dumps(self.search_result))\n- self.assertDictContainsSubset(\n- {\"type\": \"FeatureCollection\", \"features\": []}, geo_interface\n- )\n+ self.assertEqual(geo_interface[\"type\"], \"FeatureCollection\")\n+ self.assertEqual(geo_interface[\"features\"], [])\n \n def test_search_result_is_list_like(self):\n \"\"\"SearchResult must provide a list interface\"\"\"\ndiff --git a/tests/units/test_stac_reader.py b/tests/units/test_stac_reader.py\nindex 8960ee81..f242fb38 100644\n--- a/tests/units/test_stac_reader.py\n+++ b/tests/units/test_stac_reader.py\n@@ -47,10 +47,8 @@ class TestStacReader(unittest.TestCase):\n items = fetch_stac_items(self.child_cat)\n self.assertIsInstance(items, list)\n self.assertEqual(len(items), self.child_cat_len)\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"},\n- items[0],\n- )\n+ self.assertEqual(items[0][\"type\"], \"Feature\")\n+ self.assertEqual(items[0][\"collection\"], \"S2_MSI_L1C\")\n \n def test_stac_reader_fetch_root_not_recursive(self):\n \"\"\"fetch_stac_items from root must provide an empty list when no recursive\"\"\"\n@@ -62,23 +60,20 @@ class TestStacReader(unittest.TestCase):\n items = fetch_stac_items(self.root_cat, recursive=True)\n self.assertEqual(len(items), self.root_cat_len)\n for item in items:\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"}, item\n- )\n+ self.assertEqual(item[\"type\"], \"Feature\")\n+ self.assertEqual(item[\"collection\"], \"S2_MSI_L1C\")\n \n def test_stac_reader_fetch_item(self):\n \"\"\"fetch_stac_items from an item must return it\"\"\"\n item = fetch_stac_items(self.item)\n self.assertIsInstance(item, list)\n self.assertEqual(len(item), 1)\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"},\n- item[0],\n- )\n+ self.assertEqual(item[0][\"type\"], \"Feature\")\n+ self.assertEqual(item[0][\"collection\"], \"S2_MSI_L1C\")\n \n def test_stact_reader_fetch_singlefile_catalog(self):\n \"\"\"fetch_stact_items must return all the items from a single file catalog\"\"\"\n items = fetch_stac_items(self.singlefile_cat)\n self.assertIsInstance(items, list)\n self.assertEqual(len(items), self.singlefile_cat_len)\n- self.assertDictContainsSubset({\"type\": \"Feature\"}, items[0])\n+ self.assertEqual(items[0][\"type\"], \"Feature\")\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex 58732712..ef865dff 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -16,10 +16,11 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n \n+import sys\n import unittest\n from datetime import datetime\n \n-from tests.context import get_timestamp\n+from tests.context import get_timestamp, path_to_uri, uri_to_path\n \n \n class TestUtils(unittest.TestCase):\n@@ -33,3 +34,21 @@ class TestUtils(unittest.TestCase):\n expected_dt = datetime.strptime(requested_date, date_format)\n actual_utc_dt = datetime.utcfromtimestamp(ts_in_secs)\n self.assertEqual(actual_utc_dt, expected_dt)\n+\n+ def test_uri_to_path(self):\n+ if sys.platform == \"win32\":\n+ expected_path = r\"C:\\tmp\\file.txt\"\n+ tested_uri = r\"file:///C:/tmp/file.txt\"\n+ else:\n+ expected_path = \"/tmp/file.txt\"\n+ tested_uri = \"file:///tmp/file.txt\"\n+ actual_path = uri_to_path(tested_uri)\n+ self.assertEqual(actual_path, expected_path)\n+ with self.assertRaises(ValueError):\n+ uri_to_path(\"not_a_uri\")\n+\n+ def test_path_to_uri(self):\n+ if sys.platform == \"win32\":\n+ self.assertEqual(path_to_uri(r\"C:\\tmp\\file.txt\"), \"file:///C:/tmp/file.txt\")\n+ else:\n+ self.assertEqual(path_to_uri(\"/tmp/file.txt\"), \"file:///tmp/file.txt\")\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 0,\n \"test_score\": 2\n },\n \"num_modified_files\": 10\n}"},"version":{"kind":"string","value":"2.2"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@0632e4147f26119bea43e0672f6d06e75d216a20#egg=eodag\nexceptiongroup==1.2.2\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - exceptiongroup==1.2.2\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - nose==1.3.7\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n 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like","value":["tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid","tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid","tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher","tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps_after_20161205","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws","tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_sobloo","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_child","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_item","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_not_recursive","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_recursive","tests/units/test_stac_reader.py::TestStacReader::test_stact_reader_fetch_singlefile_catalog"],"string":"[\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps_after_20161205\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_sobloo\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_child\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_item\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_not_recursive\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_recursive\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stact_reader_fetch_singlefile_catalog\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":454,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-254"},"base_commit":{"kind":"string","value":"0632e4147f26119bea43e0672f6d06e75d216a20"},"created_at":{"kind":"string","value":"2021-04-21 15:53:45"},"environment_setup_commit":{"kind":"string","value":"f32b8071ac367db96ff8f9f8709f0771f9d898f2"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 6efceb2a..556d03c9 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -47,6 +47,7 @@ from eodag.utils import (\n _deprecated,\n get_geometry_from_various,\n makedirs,\n+ uri_to_path,\n )\n from eodag.utils.exceptions import (\n NoMatchingProductType,\n@@ -434,7 +435,7 @@ class EODataAccessGateway(object):\n if results is None:\n results = searcher.search(query, limit=None)\n else:\n- results.upgrade_and_extend(searcher.search(query))\n+ results.upgrade_and_extend(searcher.search(query, limit=None))\n guesses = [r[\"ID\"] for r in results or []]\n if guesses:\n return guesses\n@@ -844,6 +845,19 @@ class EODataAccessGateway(object):\n if product_type is None:\n try:\n guesses = self.guess_product_type(**kwargs)\n+\n+ # guess_product_type raises a NoMatchingProductType error if no product\n+ # is found. Here, the supported search params are removed from the\n+ # kwargs if present, not to propagate them to the query itself.\n+ for param in (\n+ \"instrument\",\n+ \"platform\",\n+ \"platformSerialIdentifier\",\n+ \"processingLevel\",\n+ \"sensorType\",\n+ ):\n+ kwargs.pop(param, None)\n+\n # By now, only use the best bet\n product_type = guesses[0]\n except NoMatchingProductType:\n@@ -1281,8 +1295,10 @@ class EODataAccessGateway(object):\n This is an alias to the method of the same name on\n :class:`~eodag.api.product.EOProduct`, but it performs some additional\n checks like verifying that a downloader and authenticator are registered\n- for the product before trying to download it. If the metadata mapping for\n- `downloadLink` is set to something that can be interpreted as a link on a\n+ for the product before trying to download it.\n+\n+ If the metadata mapping for `downloadLink` is set to something that can be\n+ interpreted as a link on a\n local filesystem, the download is skipped (by now, only a link starting\n with `file://` is supported). Therefore, any user that knows how to extract\n product location from product metadata on a provider can override the\n@@ -1316,10 +1332,15 @@ class EODataAccessGateway(object):\n :rtype: str\n :raises: :class:`~eodag.utils.exceptions.PluginImplementationError`\n :raises: :class:`RuntimeError`\n+\n+ .. versionchanged:: 2.3.0\n+\n+ Returns a file system path instead of a file URI ('/tmp' instead of\n+ 'file:///tmp').\n \"\"\"\n- if product.location.startswith(\"file\"):\n+ if product.location.startswith(\"file://\"):\n logger.info(\"Local product detected. Download skipped\")\n- return product.location\n+ return uri_to_path(product.location)\n if product.downloader is None:\n auth = product.downloader_auth\n if auth is None:\ndiff --git a/eodag/api/product/_product.py b/eodag/api/product/_product.py\nindex a0d98184..8deaeb61 100644\n--- a/eodag/api/product/_product.py\n+++ b/eodag/api/product/_product.py\n@@ -240,6 +240,11 @@ class EOProduct(object):\n :rtype: str\n :raises: :class:`~eodag.utils.exceptions.PluginImplementationError`\n :raises: :class:`RuntimeError`\n+\n+ .. versionchanged:: 2.3.0\n+\n+ Returns a file system path instead of a file URI ('/tmp' instead of\n+ 'file:///tmp').\n \"\"\"\n if progress_callback is None:\n progress_callback = ProgressCallback()\n@@ -254,7 +259,7 @@ class EOProduct(object):\n if self.downloader_auth is not None\n else self.downloader_auth\n )\n- fs_location = self.downloader.download(\n+ fs_path = self.downloader.download(\n self,\n auth=auth,\n progress_callback=progress_callback,\n@@ -262,13 +267,8 @@ class EOProduct(object):\n timeout=timeout,\n **kwargs\n )\n- if fs_location is None:\n- raise DownloadError(\n- \"Invalid file location returned by download process: '{}'\".format(\n- fs_location\n- )\n- )\n- self.location = \"file://{}\".format(fs_location)\n+ if fs_path is None:\n+ raise DownloadError(\"Missing file location returned by download process\")\n logger.debug(\n \"Product location updated from '%s' to '%s'\",\n self.remote_location,\n@@ -279,24 +279,23 @@ class EOProduct(object):\n \"'remote_location' property: %s\",\n self.remote_location,\n )\n- return self.location\n+ return fs_path\n \n def get_quicklook(self, filename=None, base_dir=None, progress_callback=None):\n- \"\"\"Download the quick look image of a given EOProduct from its provider if it\n+ \"\"\"Download the quicklook image of a given EOProduct from its provider if it\n exists.\n \n- :param filename: (optional) the name to give to the downloaded quicklook.\n+ :param filename: (optional) the name to give to the downloaded quicklook. If not\n+ given, it defaults to the product's ID (without file extension).\n :type filename: str\n :param base_dir: (optional) the absolute path of the directory where to store\n- the quicklooks in the filesystem. If it is not given, it\n- defaults to the `quicklooks` directory under this EO product\n- downloader's ``outputs_prefix`` config param\n+ the quicklooks in the filesystem. If not given, it defaults to the\n+ `quicklooks` directory under this EO product downloader's ``outputs_prefix``\n+ config param (e.g. '/tmp/quicklooks/')\n :type base_dir: str\n- :param progress_callback: (optional) A method or a callable object\n- which takes a current size and a maximum\n- size as inputs and handle progress bar\n- creation and update to give the user a\n- feedback on the download progress\n+ :param progress_callback: (optional) A method or a callable object which takes\n+ a current size and a maximum size as inputs and handle progress bar creation\n+ and update to give the user a feedback on the download progress\n :type progress_callback: :class:`~eodag.utils.ProgressCallback` or None\n :returns: The absolute path of the downloaded quicklook\n :rtype: str\ndiff --git a/eodag/plugins/apis/base.py b/eodag/plugins/apis/base.py\nindex 6a775973..b6d385ef 100644\n--- a/eodag/plugins/apis/base.py\n+++ b/eodag/plugins/apis/base.py\n@@ -18,12 +18,40 @@\n import logging\n \n from eodag.plugins.base import PluginTopic\n+from eodag.plugins.download.base import DEFAULT_DOWNLOAD_TIMEOUT, DEFAULT_DOWNLOAD_WAIT\n \n logger = logging.getLogger(\"eodag.plugins.apis.base\")\n \n \n class Api(PluginTopic):\n- \"\"\"Plugins API Base plugin\"\"\"\n+ \"\"\"Plugins API Base plugin\n+\n+ An Api plugin has three download methods that it must implement:\n+ - ``query``: search for products\n+ - ``download``: download a single ``EOProduct``\n+ - ``download_all``: download multiple products from a ``SearchResult``\n+\n+ The download methods must:\n+ - download data in the ``outputs_prefix`` folder defined in the plugin's\n+ configuration or passed through kwargs\n+ - extract products from their archive (if relevant) if ``extract`` is set to True\n+ (True by default)\n+ - save a product in an archive/directory (in ``outputs_prefix``) whose name must be\n+ the product's ``title`` property\n+ - update the product's ``location`` attribute once its data is downloaded (and\n+ eventually after it's extracted) to the product's location given as a file URI\n+ (e.g. 'file:///tmp/product_folder' on Linux or\n+ 'file:///C:/Users/username/AppData/LOcal/Temp' on Windows)\n+ - save a *record* file in the directory ``outputs_prefix/.downloaded`` whose name\n+ is built on the MD5 hash of the product's ``remote_location`` attribute\n+ (``hashlib.md5(remote_location.encode(\"utf-8\")).hexdigest()``) and whose content is\n+ the product's ``remote_location`` attribute itself.\n+ - not try to download a product whose ``location`` attribute already points to an\n+ existing file/directory\n+ - not try to download a product if its *record* file exists as long as the expected\n+ product's file/directory. If the *record* file only is found, it must be deleted\n+ (it certainly indicates that the download didn't complete)\n+ \"\"\"\n \n def query(self, *args, count=True, **kwargs):\n \"\"\"Implementation of how the products must be searched goes here.\n@@ -32,14 +60,77 @@ class Api(PluginTopic):\n which will be processed by a Download plugin (2) and the total number of products matching\n the search criteria. If ``count`` is False, the second element returned must be ``None``.\n \n- .. versionchanged::\n- 2.1\n+ .. versionchanged:: 2.1\n \n- * A new optional boolean parameter ``count`` which defaults to ``True``, it\n- allows to trigger or not a count query.\n+ A new optional boolean parameter ``count`` which defaults to ``True``, it\n+ allows to trigger or not a count query.\n \"\"\"\n raise NotImplementedError(\"A Api plugin must implement a method named query\")\n \n- def download(self, *args, **kwargs):\n- \"\"\"Implementation of how the products must be downloaded.\"\"\"\n- raise NotImplementedError(\"A Api plugin must implement a method named download\")\n+ def download(\n+ self,\n+ product,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n+ r\"\"\"\n+ Base download method. Not available, it must be defined for each plugin.\n+\n+ :param product: EO product to download\n+ :type product: :class:`~eodag.api.product.EOProduct`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: The absolute path to the downloaded product in the local filesystem\n+ (e.g. '/tmp/product.zip' on Linux or\n+ 'C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip' on Windows)\n+ :rtype: str\n+ \"\"\"\n+ raise NotImplementedError(\n+ \"An Api plugin must implement a method named download\"\n+ )\n+\n+ def download_all(\n+ self,\n+ products,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n+ \"\"\"\n+ Base download_all method.\n+\n+ :param products: Products to download\n+ :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: List of absolute paths to the downloaded products in the local\n+ filesystem (e.g. ``['/tmp/product.zip']`` on Linux or\n+ ``['C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip']`` on Windows)\n+ :rtype: list\n+ \"\"\"\n+ raise NotImplementedError(\n+ \"A Api plugin must implement a method named download_all\"\n+ )\ndiff --git a/eodag/plugins/apis/usgs.py b/eodag/plugins/apis/usgs.py\nindex 37ce4443..768778e5 100644\n--- a/eodag/plugins/apis/usgs.py\n+++ b/eodag/plugins/apis/usgs.py\n@@ -37,7 +37,12 @@ from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_WAIT,\n Download,\n )\n-from eodag.utils import GENERIC_PRODUCT_TYPE, format_dict_items, get_progress_callback\n+from eodag.utils import (\n+ GENERIC_PRODUCT_TYPE,\n+ format_dict_items,\n+ get_progress_callback,\n+ path_to_uri,\n+)\n from eodag.utils.exceptions import AuthenticationError, NotAvailableError\n \n logger = logging.getLogger(\"eodag.plugins.apis.usgs\")\n@@ -164,6 +169,8 @@ class UsgsApi(Api, Download):\n product, outputs_extension=\".tar.gz\", **kwargs\n )\n if not fs_path or not record_filename:\n+ if fs_path:\n+ product.location = path_to_uri(fs_path)\n return fs_path\n \n # progress bar init\n@@ -264,8 +271,11 @@ class UsgsApi(Api, Download):\n )\n new_fs_path = fs_path[: fs_path.index(\".tar.gz\")]\n shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n return new_fs_path\n- return self._finalize(fs_path, outputs_extension=\".tar.gz\", **kwargs)\n+ product_path = self._finalize(fs_path, outputs_extension=\".tar.gz\", **kwargs)\n+ product.location = path_to_uri(product_path)\n+ return product_path\n \n def download_all(\n self,\ndiff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex 2f0b132d..687985c6 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -34,7 +34,7 @@ from eodag.api.product.metadata_mapping import (\n properties_from_xml,\n )\n from eodag.plugins.download.base import Download\n-from eodag.utils import get_progress_callback, urlparse\n+from eodag.utils import get_progress_callback, path_to_uri, urlparse\n from eodag.utils.exceptions import AuthenticationError, DownloadError\n \n logger = logging.getLogger(\"eodag.plugins.download.aws\")\n@@ -185,6 +185,8 @@ class AwsDownload(Download):\n # prepare download & create dirs (before updating metadata)\n product_local_path, record_filename = self._prepare_download(product, **kwargs)\n if not product_local_path or not record_filename:\n+ if product_local_path:\n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n product_local_path = product_local_path.replace(\".zip\", \"\")\n # remove existing incomplete file\n@@ -395,6 +397,7 @@ class AwsDownload(Download):\n fh.write(product.remote_location)\n logger.debug(\"Download recorded in %s\", record_filename)\n \n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n \n def get_authenticated_objects(self, bucket_name, prefix, auth_dict):\ndiff --git a/eodag/plugins/download/base.py b/eodag/plugins/download/base.py\nindex 8d6dbd3e..bfcb8ac1 100644\n--- a/eodag/plugins/download/base.py\n+++ b/eodag/plugins/download/base.py\n@@ -25,7 +25,7 @@ from datetime import datetime, timedelta\n from time import sleep\n \n from eodag.plugins.base import PluginTopic\n-from eodag.utils import get_progress_callback, sanitize\n+from eodag.utils import get_progress_callback, sanitize, uri_to_path\n from eodag.utils.exceptions import (\n AuthenticationError,\n MisconfiguredError,\n@@ -43,6 +43,31 @@ DEFAULT_DOWNLOAD_TIMEOUT = 20\n class Download(PluginTopic):\n \"\"\"Base Download Plugin.\n \n+ A Download plugin has two download methods that it must implement:\n+ - ``download``: download a single ``EOProduct``\n+ - ``download_all``: download multiple products from a ``SearchResult``\n+\n+ They must:\n+ - download data in the ``outputs_prefix`` folder defined in the plugin's\n+ configuration or passed through kwargs\n+ - extract products from their archive (if relevant) if ``extract`` is set to True\n+ (True by default)\n+ - save a product in an archive/directory (in ``outputs_prefix``) whose name must be\n+ the product's ``title`` property\n+ - update the product's ``location`` attribute once its data is downloaded (and\n+ eventually after it's extracted) to the product's location given as a file URI\n+ (e.g. 'file:///tmp/product_folder' on Linux or\n+ 'file:///C:/Users/username/AppData/LOcal/Temp' on Windows)\n+ - save a *record* file in the directory ``outputs_prefix/.downloaded`` whose name\n+ is built on the MD5 hash of the product's ``remote_location`` attribute\n+ (``hashlib.md5(remote_location.encode(\"utf-8\")).hexdigest()``) and whose content is\n+ the product's ``remote_location`` attribute itself.\n+ - not try to download a product whose ``location`` attribute already points to an\n+ existing file/directory\n+ - not try to download a product if its *record* file exists as long as the expected\n+ product's file/directory. If the *record* file only is found, it must be deleted\n+ (it certainly indicates that the download didn't complete)\n+\n :param provider: An eodag providers configuration dictionary\n :type provider: dict\n :param config: Path to the user configuration file\n@@ -62,8 +87,26 @@ class Download(PluginTopic):\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n **kwargs,\n ):\n- \"\"\"\n- Base download method. Not available, should be defined for each plugin\n+ r\"\"\"\n+ Base download method. Not available, it must be defined for each plugin.\n+\n+ :param product: EO product to download\n+ :type product: :class:`~eodag.api.product.EOProduct`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: The absolute path to the downloaded product in the local filesystem\n+ (e.g. '/tmp/product.zip' on Linux or\n+ 'C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip' on Windows)\n+ :rtype: str\n \"\"\"\n raise NotImplementedError(\n \"A Download plugin must implement a method named download\"\n@@ -78,8 +121,7 @@ class Download(PluginTopic):\n :rtype: tuple\n \"\"\"\n if product.location != product.remote_location:\n- scheme_prefix_len = len(\"file://\")\n- fs_path = product.location[scheme_prefix_len:]\n+ fs_path = uri_to_path(product.location)\n # The fs path of a product is either a file (if 'extract' config is False) or a directory\n if os.path.isfile(fs_path) or os.path.isdir(fs_path):\n logger.info(\n@@ -249,9 +291,32 @@ class Download(PluginTopic):\n **kwargs,\n ):\n \"\"\"\n- A sequential download_all implementation\n- using download method for every products\n+ Base download_all method.\n+\n+ This specific implementation uses the ``download`` method implemented by\n+ the plugin to **sequentially** attempt to download products.\n+\n+ :param products: Products to download\n+ :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: List of absolute paths to the downloaded products in the local\n+ filesystem (e.g. ``['/tmp/product.zip']`` on Linux or\n+ ``['C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip']`` on Windows)\n+ :rtype: list\n \"\"\"\n+ # Products are going to be removed one by one from this sequence once\n+ # downloaded.\n+ products = products[:]\n paths = []\n # initiate retry loop\n start_time = datetime.now()\ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 11662a18..f54fff86 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -32,7 +32,7 @@ from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_WAIT,\n Download,\n )\n-from eodag.utils import get_progress_callback\n+from eodag.utils import get_progress_callback, path_to_uri\n from eodag.utils.exceptions import (\n AuthenticationError,\n MisconfiguredError,\n@@ -70,6 +70,8 @@ class HTTPDownload(Download):\n \"\"\"\n fs_path, record_filename = self._prepare_download(product, **kwargs)\n if not fs_path or not record_filename:\n+ if fs_path:\n+ product.location = path_to_uri(fs_path)\n return fs_path\n \n # progress bar init\n@@ -80,7 +82,7 @@ class HTTPDownload(Download):\n \n # download assets if exist instead of remote_location\n try:\n- return self._download_assets(\n+ fs_path = self._download_assets(\n product,\n fs_path.replace(\".zip\", \"\"),\n record_filename,\n@@ -88,6 +90,8 @@ class HTTPDownload(Download):\n progress_callback,\n **kwargs\n )\n+ product.location = path_to_uri(fs_path)\n+ return fs_path\n except NotAvailableError:\n pass\n \n@@ -218,8 +222,11 @@ class HTTPDownload(Download):\n )\n new_fs_path = fs_path[: fs_path.index(\".zip\")]\n shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n return new_fs_path\n- return self._finalize(fs_path, **kwargs)\n+ product_path = self._finalize(fs_path, **kwargs)\n+ product.location = path_to_uri(product_path)\n+ return product_path\n \n except NotAvailableError as e:\n if not getattr(self.config, \"order_enabled\", False):\ndiff --git a/eodag/plugins/download/s3rest.py b/eodag/plugins/download/s3rest.py\nindex 71876ea4..2f5628b9 100644\n--- a/eodag/plugins/download/s3rest.py\n+++ b/eodag/plugins/download/s3rest.py\n@@ -29,7 +29,7 @@ from requests import HTTPError\n from eodag.api.product.metadata_mapping import OFFLINE_STATUS\n from eodag.plugins.download.aws import AwsDownload\n from eodag.plugins.download.http import HTTPDownload\n-from eodag.utils import get_progress_callback, urljoin\n+from eodag.utils import get_progress_callback, path_to_uri, urljoin\n from eodag.utils.exceptions import (\n AuthenticationError,\n DownloadError,\n@@ -158,6 +158,7 @@ class S3RestDownload(AwsDownload):\n url_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n record_filename = os.path.join(download_records_dir, url_hash)\n if os.path.isfile(record_filename) and os.path.exists(product_local_path):\n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n # Remove the record file if product_local_path is absent (e.g. it was deleted while record wasn't)\n elif os.path.isfile(record_filename):\n@@ -215,4 +216,5 @@ class S3RestDownload(AwsDownload):\n fh.write(product.remote_location)\n logger.debug(\"Download recorded in %s\", record_filename)\n \n+ product.location = path_to_uri(product_local_path)\n return product_local_path\ndiff --git a/eodag/rest/utils.py b/eodag/rest/utils.py\nindex f48e3eb0..2c6f7e9d 100644\n--- a/eodag/rest/utils.py\n+++ b/eodag/rest/utils.py\n@@ -463,7 +463,7 @@ def download_stac_item_by_id(catalogs, item_id, provider=None):\n \n product_path = eodag_api.download(product)\n \n- return product_path.replace(\"file://\", \"\")\n+ return product_path\n \n \n def get_stac_catalogs(url, root=\"/\", catalogs=[], provider=None):\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 70798110..0c21649b 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -35,6 +35,7 @@ import warnings\n from collections import defaultdict\n from datetime import datetime, timezone\n from itertools import repeat, starmap\n+from pathlib import Path\n \n # All modules using these should import them from utils package\n from urllib.parse import ( # noqa; noqa\n@@ -43,8 +44,10 @@ from urllib.parse import ( # noqa; noqa\n urlencode,\n urljoin,\n urlparse,\n+ urlsplit,\n urlunparse,\n )\n+from urllib.request import url2pathname\n \n import click\n import shapefile\n@@ -203,6 +206,24 @@ def strip_accents(s):\n )\n \n \n+def uri_to_path(uri):\n+ \"\"\"\n+ Convert a file URI (e.g. 'file:///tmp') to a local path (e.g. '/tmp')\n+ \"\"\"\n+ if not uri.startswith(\"file\"):\n+ raise ValueError(\"A file URI must be provided (e.g. 'file:///tmp'\")\n+ _, _, path, _, _ = urlsplit(uri)\n+ # On Windows urlsplit returns the path starting with a slash ('/C:/User)\n+ path = url2pathname(path)\n+ # url2pathname removes it\n+ return path\n+\n+\n+def path_to_uri(path):\n+ \"\"\"Convert a local absolute path to a file URI\"\"\"\n+ return Path(path).as_uri()\n+\n+\n def mutate_dict_in_place(func, mapping):\n \"\"\"Apply func to values of mapping.\n \n@@ -853,13 +874,13 @@ def _deprecated(reason=\"\", version=None):\n \n @functools.wraps(callable)\n def wrapper(*args, **kwargs):\n- warnings.simplefilter(\"always\", DeprecationWarning)\n- warnings.warn(\n- f\"Call to deprecated {ctype} {cname} {reason_}{version_}\",\n- category=DeprecationWarning,\n- stacklevel=2,\n- )\n- warnings.simplefilter(\"default\", DeprecationWarning)\n+ with warnings.catch_warnings():\n+ warnings.simplefilter(\"always\", DeprecationWarning)\n+ warnings.warn(\n+ f\"Call to deprecated {ctype} {cname} {reason_}{version_}\",\n+ category=DeprecationWarning,\n+ stacklevel=2,\n+ )\n return callable(*args, **kwargs)\n \n return wrapper\n"},"problem_statement":{"kind":"string","value":"Error while downloading a quicklook in a directory where the product has already been downloaded and extracted\nIt might be an edge case but I got caught by this one.\r\n\r\n```\r\nTraceback (most recent call last):\r\n File \"/home/maxime/TRAVAIL/06_EODAG/01_eodag/eodag/snippet_quicklook_peps.py\", line 20, in <module>\r\n prods[0].get_quicklook(base_dir=\"/tmp\")\r\n File \"/home/maxime/TRAVAIL/06_EODAG/01_eodag/eodag/eodag/api/product/_product.py\", line 392, in get_quicklook\r\n with open(quicklook_file, \"wb\") as fhandle:\r\nIsADirectoryError: [Errno 21] Is a directory: '/tmp/S2B_MSIL1C_20200815T030549_N0209_R075_T55XEB_20200815T051416'\r\n```\r\n\r\nI first downloaded a product in a directory, say `work`. The product was automatically extracted to `work/productID`. I then tried to download the quicklook of that product with `get_quicklook` in the same directory `work`. If not provided, a quicklook get its filename from the product's ID:\r\nhttps://github.com/CS-SI/eodag/blob/fec965f791a74dbf658e0833e1507b7ac950d09d/eodag/api/product/_product.py#L344-L347\r\n\r\nIn that case then, `get_quicklook` tried to save the quicklook to `work/productID` which was an existing folder, hence the error reported above.\r\n\r\nI assume quicklooks get their filename from the product's ID because some providers don't provide an URL, instead they provide the encoded image content (*onda*, at least).\r\n\r\nHere I guess the simplest thing to do would be to check if the file path of the quicklook to download is a directory, and raise a nicer error in that case."},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex 96807bc8..df74276a 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -44,7 +44,13 @@ from eodag.plugins.manager import PluginManager\n from eodag.plugins.search.base import Search\n from eodag.rest import server as eodag_http_server\n from eodag.rest.utils import eodag_api, get_date\n-from eodag.utils import get_geometry_from_various, get_timestamp, makedirs\n+from eodag.utils import (\n+ get_geometry_from_various,\n+ get_timestamp,\n+ makedirs,\n+ path_to_uri,\n+ uri_to_path,\n+)\n from eodag.utils.exceptions import (\n AddressNotFound,\n AuthenticationError,\ndiff --git a/tests/test_cli.py b/tests/test_cli.py\nindex 94e07cc3..a4171dbb 100644\n--- a/tests/test_cli.py\n+++ b/tests/test_cli.py\n@@ -427,7 +427,7 @@ class TestEodagCli(unittest.TestCase):\n TEST_RESOURCES_PATH, \"eodag_search_result.geojson\"\n )\n config_path = os.path.join(TEST_RESOURCES_PATH, \"file_config_override.yml\")\n- dag.return_value.download_all.return_value = [\"file:///fake_path\"]\n+ dag.return_value.download_all.return_value = [\"/fake_path\"]\n result = self.runner.invoke(\n eodag,\n [\"download\", \"--search-results\", search_results_path, \"-f\", config_path],\n@@ -435,7 +435,7 @@ class TestEodagCli(unittest.TestCase):\n dag.assert_called_once_with(user_conf_file_path=config_path)\n dag.return_value.deserialize.assert_called_once_with(search_results_path)\n self.assertEqual(dag.return_value.download_all.call_count, 1)\n- self.assertEqual(\"Downloaded file:///fake_path\\n\", result.output)\n+ self.assertEqual(\"Downloaded /fake_path\\n\", result.output)\n \n # Testing the case when no downloaded path is returned\n dag.return_value.download_all.return_value = [None]\ndiff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py\nindex be2dee90..ca0a145c 100644\n--- a/tests/test_end_to_end.py\n+++ b/tests/test_end_to_end.py\n@@ -18,15 +18,22 @@\n \n import datetime\n import glob\n+import hashlib\n import multiprocessing\n import os\n import shutil\n+import time\n import unittest\n from pathlib import Path\n \n from eodag.api.product.metadata_mapping import ONLINE_STATUS\n from tests import TEST_RESOURCES_PATH, TESTS_DOWNLOAD_PATH\n-from tests.context import AuthenticationError, EODataAccessGateway\n+from tests.context import (\n+ AuthenticationError,\n+ EODataAccessGateway,\n+ SearchResult,\n+ uri_to_path,\n+)\n \n THEIA_SEARCH_ARGS = [\n \"theia\",\n@@ -148,8 +155,8 @@ class EndToEndBase(unittest.TestCase):\n \"\"\"\n search_criteria = {\n \"productType\": product_type,\n- \"startTimeFromAscendingNode\": start,\n- \"completionTimeFromAscendingNode\": end,\n+ \"start\": start,\n+ \"end\": end,\n \"geom\": geom,\n }\n if items_per_page:\n@@ -190,8 +197,8 @@ class EndToEndBase(unittest.TestCase):\n - Return all the products\n \"\"\"\n search_criteria = {\n- \"startTimeFromAscendingNode\": start,\n- \"completionTimeFromAscendingNode\": end,\n+ \"start\": start,\n+ \"end\": end,\n \"geom\": geom,\n }\n self.eodag.set_preferred_provider(provider)\n@@ -428,6 +435,196 @@ class TestEODagEndToEnd(EndToEndBase):\n self.assertGreater(len(results), 10)\n \n \n+class TestEODagEndToEndComplete(unittest.TestCase):\n+ \"\"\"Make real and complete test cases that search for products, download them and\n+ extract them. There should be just a tiny number of these tests which can be quite\n+ long to run.\n+\n+ There must be a user conf file in the test resources folder named user_conf.yml\n+ \"\"\"\n+\n+ @classmethod\n+ def setUpClass(cls):\n+\n+ # use tests/resources/user_conf.yml if exists else default file ~/.config/eodag/eodag.yml\n+ tests_user_conf = os.path.join(TEST_RESOURCES_PATH, \"user_conf.yml\")\n+ if not os.path.isfile(tests_user_conf):\n+ unittest.SkipTest(\"Missing user conf file with credentials\")\n+ cls.eodag = EODataAccessGateway(\n+ user_conf_file_path=os.path.join(TEST_RESOURCES_PATH, \"user_conf.yml\")\n+ )\n+\n+ # create TESTS_DOWNLOAD_PATH is not exists\n+ if not os.path.exists(TESTS_DOWNLOAD_PATH):\n+ os.makedirs(TESTS_DOWNLOAD_PATH)\n+\n+ for provider, conf in cls.eodag.providers_config.items():\n+ # Change download directory to TESTS_DOWNLOAD_PATH for tests\n+ if hasattr(conf, \"download\") and hasattr(conf.download, \"outputs_prefix\"):\n+ conf.download.outputs_prefix = TESTS_DOWNLOAD_PATH\n+ elif hasattr(conf, \"api\") and hasattr(conf.api, \"outputs_prefix\"):\n+ conf.api.outputs_prefix = TESTS_DOWNLOAD_PATH\n+ else:\n+ # no outputs_prefix found for provider\n+ pass\n+ # Force all providers implementing RestoSearch and defining how to retrieve\n+ # products by specifying the\n+ # location scheme to use https, enabling actual downloading of the product\n+ if (\n+ getattr(getattr(conf, \"search\", {}), \"product_location_scheme\", \"https\")\n+ == \"file\"\n+ ):\n+ conf.search.product_location_scheme = \"https\"\n+\n+ def tearDown(self):\n+ \"\"\"Clear the test directory\"\"\"\n+ for p in Path(TESTS_DOWNLOAD_PATH).glob(\"**/*\"):\n+ try:\n+ os.remove(p)\n+ except OSError:\n+ shutil.rmtree(p)\n+\n+ def test_end_to_end_complete_peps(self):\n+ \"\"\"Complete end-to-end test with PEPS for download and download_all\"\"\"\n+ # Search for products that are ONLINE and as small as possible\n+ today = datetime.date.today()\n+ month_span = datetime.timedelta(weeks=4)\n+ search_results, _ = self.eodag.search(\n+ productType=\"S2_MSI_L1C\",\n+ start=(today - month_span).isoformat(),\n+ end=today.isoformat(),\n+ geom={\"lonmin\": 1, \"latmin\": 42, \"lonmax\": 5, \"latmax\": 46},\n+ items_per_page=100,\n+ )\n+ prods_sorted_by_size = SearchResult(\n+ sorted(search_results, key=lambda p: p.properties[\"resourceSize\"])\n+ )\n+ prods_online = [\n+ p for p in prods_sorted_by_size if p.properties[\"storageStatus\"] == \"ONLINE\"\n+ ]\n+ if len(prods_online) < 2:\n+ unittest.skip(\n+ \"Not enough ONLINE products found, update the search criteria.\"\n+ )\n+\n+ # Retrieve one product to work with\n+ product = prods_online[0]\n+\n+ prev_remote_location = product.remote_location\n+ prev_location = product.location\n+ # The expected product's archive filename is based on the product's title\n+ expected_product_name = f\"{product.properties['title']}.zip\"\n+\n+ # Download the product, but DON'T extract it\n+ archive_file_path = self.eodag.download(product, extract=False)\n+\n+ # The archive must have been downloaded\n+ self.assertTrue(os.path.isfile(archive_file_path))\n+ # Its name must be the \"{product_title}.zip\"\n+ self.assertIn(\n+ expected_product_name, os.listdir(product.downloader.config.outputs_prefix)\n+ )\n+ # Its size should be >= 5 KB\n+ archive_size = os.stat(archive_file_path).st_size\n+ self.assertGreaterEqual(archive_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # That points to the downloaded archive\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+ # A .downloaded folder must have been created\n+ record_dir = os.path.join(TESTS_DOWNLOAD_PATH, \".downloaded\")\n+ self.assertTrue(os.path.isdir(record_dir))\n+ # It must contain a file per product downloade, whose name is\n+ # the MD5 hash of the product's remote location\n+ expected_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n+ record_file = os.path.join(record_dir, expected_hash)\n+ self.assertTrue(os.path.isfile(record_file))\n+ # Its content must be the product's remote location\n+ record_content = Path(record_file).read_text()\n+ self.assertEqual(record_content, product.remote_location)\n+\n+ # The product should not be downloaded again if the download method\n+ # is executed again\n+ previous_archive_file_path = archive_file_path\n+ previous_location = product.location\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The paths should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(product.location, previous_location)\n+\n+ # If we emulate that the product has just been found, it should not\n+ # be downloaded again since the record file is still present.\n+ product.location = product.remote_location\n+ # Pretty much the same checks as with the previous step\n+ previous_archive_file_path = archive_file_path\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The returned path should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+\n+ # Remove the archive\n+ os.remove(archive_file_path)\n+\n+ # Now, the archive is removed but its associated record file\n+ # still exists. Downloading the product again should really\n+ # download it, if its location points to the remote location.\n+ # The product should be automatically extracted.\n+ product.location = product.remote_location\n+ product_dir_path = self.eodag.download(product)\n+\n+ # Its size should be >= 5 KB\n+ downloaded_size = sum(\n+ f.stat().st_size for f in Path(product_dir_path).glob(\"**/*\") if f.is_file()\n+ )\n+ self.assertGreaterEqual(downloaded_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # The location must point to a SAFE directory\n+ self.assertTrue(product.location.endswith(\"SAFE\"))\n+ # The path must point to a SAFE directory\n+ self.assertTrue(os.path.isdir(product_dir_path))\n+ self.assertTrue(product_dir_path.endswith(\"SAFE\"))\n+\n+ # Remove the archive and extracted product and reset the product's location\n+ os.remove(archive_file_path)\n+ shutil.rmtree(Path(product_dir_path).parent)\n+ product.location = product.remote_location\n+\n+ # Now let's check download_all\n+ products = prods_sorted_by_size[:2]\n+ # Pass a copy because download_all empties the list\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+\n+ # The returned paths must point to the downloaded archives\n+ # Each product's location must be a URI path to the archive\n+ for product, archive_path in zip(products, archive_paths):\n+ self.assertTrue(os.path.isfile(archive_path))\n+ self.assertEqual(uri_to_path(product.location), archive_path)\n+\n+ # Downloading the product again should not download them, since\n+ # they are all already there.\n+ prev_archive_paths = archive_paths\n+ start_time = time.time()\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ self.assertEqual(archive_paths, prev_archive_paths)\n+\n+\n # @unittest.skip(\"skip auto run\")\n class TestEODagEndToEndWrongCredentials(EndToEndBase):\n \"\"\"Make real case tests with wrong credentials. This assumes the existence of a\n@@ -462,7 +659,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n \n def test_end_to_end_good_apikey_wrong_credentials_aws_eos(self):\n@@ -489,7 +686,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n self.assertGreater(len(results), 0)\n one_product = results[0]\n@@ -525,5 +722,5 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], USGS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\ndiff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex cb6022e4..69cf9a3e 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -367,7 +367,7 @@ class TestCoreGeometry(unittest.TestCase):\n \"lonmax\": 2,\n \"latmax\": 52,\n }\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # Bad dict with a missing key\n del geometry[\"lonmin\"]\n self.assertRaises(\n@@ -378,10 +378,10 @@ class TestCoreGeometry(unittest.TestCase):\n )\n # Tuple\n geometry = (0, 50, 2, 52)\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # List\n geometry = list(geometry)\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # List without 4 items\n geometry.pop()\n self.assertRaises(\n@@ -392,7 +392,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n # WKT\n geometry = ref_geom_as_wkt\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # Some other shapely geom\n geometry = LineString([[0, 0], [1, 1]])\n self.assertIsInstance(\n@@ -409,7 +409,7 @@ class TestCoreGeometry(unittest.TestCase):\n locations_config, locations=dict(country=\"FRA\")\n )\n self.assertIsInstance(geom_france, MultiPolygon)\n- self.assertEquals(len(geom_france), 3) # France + Guyana + Corsica\n+ self.assertEqual(len(geom_france), 3) # France + Guyana + Corsica\n \n def test_get_geometry_from_various_locations_with_wrong_location_name_in_kwargs(\n self,\n@@ -444,7 +444,7 @@ class TestCoreGeometry(unittest.TestCase):\n locations_config, locations=dict(country=\"PA[A-Z]\")\n )\n self.assertIsInstance(geom_regex_pa, MultiPolygon)\n- self.assertEquals(len(geom_regex_pa), 2)\n+ self.assertEqual(len(geom_regex_pa), 2)\n \n def test_get_geometry_from_various_locations_no_match_raises_error(self):\n \"\"\"If the location search doesn't match any of the feature attribute a ValueError must be raised\"\"\"\n@@ -468,7 +468,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n self.assertIsInstance(geom_combined, MultiPolygon)\n # France + Guyana + Corsica + somewhere over Poland\n- self.assertEquals(len(geom_combined), 4)\n+ self.assertEqual(len(geom_combined), 4)\n geometry = {\n \"lonmin\": 0,\n \"latmin\": 50,\n@@ -480,7 +480,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n self.assertIsInstance(geom_combined, MultiPolygon)\n # The bounding box overlaps with France inland\n- self.assertEquals(len(geom_combined), 3)\n+ self.assertEqual(len(geom_combined), 3)\n \n \n class TestCoreSearch(unittest.TestCase):\n@@ -546,7 +546,6 @@ class TestCoreSearch(unittest.TestCase):\n \"geometry\": None,\n \"productType\": None,\n }\n- self.assertDictContainsSubset(expected, prepared_search)\n expected = set([\"geometry\", \"productType\", \"auth\", \"search_plugin\"])\n self.assertSetEqual(expected, set(prepared_search))\n \n@@ -557,11 +556,10 @@ class TestCoreSearch(unittest.TestCase):\n \"end\": \"2020-02-01\",\n }\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\n- \"startTimeFromAscendingNode\": base[\"start\"],\n- \"completionTimeFromAscendingNode\": base[\"end\"],\n- }\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"startTimeFromAscendingNode\"], base[\"start\"])\n+ self.assertEqual(\n+ prepared_search[\"completionTimeFromAscendingNode\"], base[\"end\"]\n+ )\n \n def test__prepare_search_geom(self):\n \"\"\"_prepare_search must handle geom, box and bbox\"\"\"\n@@ -608,8 +606,7 @@ class TestCoreSearch(unittest.TestCase):\n \"\"\"_prepare_search must handle when a product type is given\"\"\"\n base = {\"productType\": \"S2_MSI_L1C\"}\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\"productType\": base[\"productType\"]}\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n \n def test__prepare_search_product_type_guess_it(self):\n \"\"\"_prepare_search must guess a product type when required to\"\"\"\n@@ -621,8 +618,19 @@ class TestCoreSearch(unittest.TestCase):\n platformSerialIdentifier=\"S2A\",\n )\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\"productType\": \"S2_MSI_L1C\", **base}\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], \"S2_MSI_L1C\")\n+\n+ def test__prepare_search_remove_guess_kwargs(self):\n+ \"\"\"_prepare_search must remove the guess kwargs\"\"\"\n+ # Uses guess_product_type to find the product matching\n+ # the best the given params.\n+ base = dict(\n+ instrument=\"MSI\",\n+ platform=\"SENTINEL2\",\n+ platformSerialIdentifier=\"S2A\",\n+ )\n+ prepared_search = self.dag._prepare_search(**base)\n+ self.assertEqual(len(base.keys() & prepared_search.keys()), 0)\n \n def test__prepare_search_with_id(self):\n \"\"\"_prepare_search must handle a search by id\"\"\"\n@@ -638,8 +646,8 @@ class TestCoreSearch(unittest.TestCase):\n \"cloudCover\": 10,\n }\n prepared_search = self.dag._prepare_search(**base)\n- expected = base\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n+ self.assertEqual(prepared_search[\"cloudCover\"], base[\"cloudCover\"])\n \n def test__prepare_search_search_plugin_has_known_product_properties(self):\n \"\"\"_prepare_search must attach the product properties to the search plugin\"\"\"\ndiff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py\nindex f43aaa84..0faf7704 100644\n--- a/tests/units/test_eoproduct.py\n+++ b/tests/units/test_eoproduct.py\n@@ -90,23 +90,18 @@ class TestEOProduct(EODagTestCase):\n self.provider, self.eoproduct_props, productType=self.product_type\n )\n geo_interface = geojson.loads(geojson.dumps(product))\n- self.assertDictContainsSubset(\n- {\n- \"type\": \"Feature\",\n- \"geometry\": self._tuples_to_lists(geometry.mapping(self.geometry)),\n- },\n- geo_interface,\n+ self.assertEqual(geo_interface[\"type\"], \"Feature\")\n+ self.assertEqual(\n+ geo_interface[\"geometry\"],\n+ self._tuples_to_lists(geometry.mapping(self.geometry)),\n )\n- self.assertDictContainsSubset(\n- {\n- \"eodag_provider\": self.provider,\n- \"eodag_search_intersection\": self._tuples_to_lists(\n- geometry.mapping(product.search_intersection)\n- ),\n- \"eodag_product_type\": self.product_type,\n- },\n- geo_interface[\"properties\"],\n+ properties = geo_interface[\"properties\"]\n+ self.assertEqual(properties[\"eodag_provider\"], self.provider)\n+ self.assertEqual(\n+ properties[\"eodag_search_intersection\"],\n+ self._tuples_to_lists(geometry.mapping(product.search_intersection)),\n )\n+ self.assertEqual(properties[\"eodag_product_type\"], self.product_type)\n \n def test_eoproduct_from_geointerface(self):\n \"\"\"EOProduct must be build-able from its geo-interface\"\"\"\n@@ -295,7 +290,6 @@ class TestEOProduct(EODagTestCase):\n self.requests_http_get.assert_called_with(\n self.download_url, stream=True, auth=None, params={}\n )\n- product_file_path = product_file_path[len(\"file://\") :]\n download_records_dir = pathlib.Path(product_file_path).parent / \".downloaded\"\n # A .downloaded folder should be created, including a text file that\n # lists the downloaded product by their url\n@@ -332,7 +326,7 @@ class TestEOProduct(EODagTestCase):\n \n # Download\n product_dir_path = product.download()\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n # The returned path must be a directory.\n self.assertTrue(product_dir_path.is_dir())\n # Check that the extracted dir has at least one file, there are more\n@@ -379,7 +373,7 @@ class TestEOProduct(EODagTestCase):\n self.download_url, stream=True, auth=None, params={\"fakeparam\": \"dummy\"}\n )\n # Check that \"outputs_prefix\" is respected.\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n self.assertEqual(product_dir_path.parent.name, output_dir_name)\n # We've asked to extract the product so there should be a directory.\n self.assertTrue(product_dir_path.is_dir())\ndiff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py\nindex 28369fee..09dd221d 100644\n--- a/tests/units/test_search_plugins.py\n+++ b/tests/units/test_search_plugins.py\n@@ -106,8 +106,8 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):\n info_message=mock.ANY,\n exception_message=mock.ANY,\n )\n- self.assertEquals(estimate, self.sobloo_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.sobloo_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n @mock.patch(\n@@ -144,7 +144,7 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n self.assertIsNone(estimate)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n \n@@ -196,8 +196,8 @@ class TestSearchPluginPostJsonSearch(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n \n- self.assertEquals(estimate, self.awseos_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.awseos_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n @mock.patch(\n@@ -232,7 +232,7 @@ class TestSearchPluginPostJsonSearch(BaseSearchPluginTest):\n )\n \n self.assertIsNone(estimate)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n \n@@ -294,6 +294,6 @@ class TestSearchPluginODataV4Search(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n \n- self.assertEquals(estimate, self.onda_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.onda_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\ndiff --git a/tests/units/test_search_result.py b/tests/units/test_search_result.py\nindex f1697117..d4e52303 100644\n--- a/tests/units/test_search_result.py\n+++ b/tests/units/test_search_result.py\n@@ -32,9 +32,8 @@ class TestSearchResult(unittest.TestCase):\n def test_search_result_geo_interface(self):\n \"\"\"SearchResult must provide a FeatureCollection geo-interface\"\"\"\n geo_interface = geojson.loads(geojson.dumps(self.search_result))\n- self.assertDictContainsSubset(\n- {\"type\": \"FeatureCollection\", \"features\": []}, geo_interface\n- )\n+ self.assertEqual(geo_interface[\"type\"], \"FeatureCollection\")\n+ self.assertEqual(geo_interface[\"features\"], [])\n \n def test_search_result_is_list_like(self):\n \"\"\"SearchResult must provide a list interface\"\"\"\ndiff --git a/tests/units/test_stac_reader.py b/tests/units/test_stac_reader.py\nindex 8960ee81..f242fb38 100644\n--- a/tests/units/test_stac_reader.py\n+++ b/tests/units/test_stac_reader.py\n@@ -47,10 +47,8 @@ class TestStacReader(unittest.TestCase):\n items = fetch_stac_items(self.child_cat)\n self.assertIsInstance(items, list)\n self.assertEqual(len(items), self.child_cat_len)\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"},\n- items[0],\n- )\n+ self.assertEqual(items[0][\"type\"], \"Feature\")\n+ self.assertEqual(items[0][\"collection\"], \"S2_MSI_L1C\")\n \n def test_stac_reader_fetch_root_not_recursive(self):\n \"\"\"fetch_stac_items from root must provide an empty list when no recursive\"\"\"\n@@ -62,23 +60,20 @@ class TestStacReader(unittest.TestCase):\n items = fetch_stac_items(self.root_cat, recursive=True)\n self.assertEqual(len(items), self.root_cat_len)\n for item in items:\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"}, item\n- )\n+ self.assertEqual(item[\"type\"], \"Feature\")\n+ self.assertEqual(item[\"collection\"], \"S2_MSI_L1C\")\n \n def test_stac_reader_fetch_item(self):\n \"\"\"fetch_stac_items from an item must return it\"\"\"\n item = fetch_stac_items(self.item)\n self.assertIsInstance(item, list)\n self.assertEqual(len(item), 1)\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"},\n- item[0],\n- )\n+ self.assertEqual(item[0][\"type\"], \"Feature\")\n+ self.assertEqual(item[0][\"collection\"], \"S2_MSI_L1C\")\n \n def test_stact_reader_fetch_singlefile_catalog(self):\n \"\"\"fetch_stact_items must return all the items from a single file catalog\"\"\"\n items = fetch_stac_items(self.singlefile_cat)\n self.assertIsInstance(items, list)\n self.assertEqual(len(items), self.singlefile_cat_len)\n- self.assertDictContainsSubset({\"type\": \"Feature\"}, items[0])\n+ self.assertEqual(items[0][\"type\"], \"Feature\")\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex 58732712..ef865dff 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -16,10 +16,11 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n \n+import sys\n import unittest\n from datetime import datetime\n \n-from tests.context import get_timestamp\n+from tests.context import get_timestamp, path_to_uri, uri_to_path\n \n \n class TestUtils(unittest.TestCase):\n@@ -33,3 +34,21 @@ class TestUtils(unittest.TestCase):\n expected_dt = datetime.strptime(requested_date, date_format)\n actual_utc_dt = datetime.utcfromtimestamp(ts_in_secs)\n self.assertEqual(actual_utc_dt, expected_dt)\n+\n+ def test_uri_to_path(self):\n+ if sys.platform == \"win32\":\n+ expected_path = r\"C:\\tmp\\file.txt\"\n+ tested_uri = r\"file:///C:/tmp/file.txt\"\n+ else:\n+ expected_path = \"/tmp/file.txt\"\n+ tested_uri = \"file:///tmp/file.txt\"\n+ actual_path = uri_to_path(tested_uri)\n+ self.assertEqual(actual_path, expected_path)\n+ with self.assertRaises(ValueError):\n+ uri_to_path(\"not_a_uri\")\n+\n+ def test_path_to_uri(self):\n+ if sys.platform == \"win32\":\n+ self.assertEqual(path_to_uri(r\"C:\\tmp\\file.txt\"), \"file:///C:/tmp/file.txt\")\n+ else:\n+ self.assertEqual(path_to_uri(\"/tmp/file.txt\"), \"file:///tmp/file.txt\")\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 3,\n \"issue_text_score\": 1,\n \"test_score\": 3\n },\n \"num_modified_files\": 10\n}"},"version":{"kind":"string","value":"2.2"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"nose\",\n \"nose-cov\",\n \"pandoc\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncov-core==1.15.0\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@0632e4147f26119bea43e0672f6d06e75d216a20#egg=eodag\nexceptiongroup==1.2.2\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnose-cov==1.6\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandoc==2.4\nplatformdirs==4.3.7\npluggy==1.5.0\nplumbum==1.9.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: 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\"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_from_feature_collection\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_geo_interface\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_is_list_like\",\n \"tests/units/test_utils.py::TestUtils::test_path_to_uri\",\n \"tests/units/test_utils.py::TestUtils::test_uri_to_path\",\n \"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid","tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid","tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher","tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps_after_20161205","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws","tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_sobloo","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_child","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_item","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_not_recursive","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_recursive","tests/units/test_stac_reader.py::TestStacReader::test_stact_reader_fetch_singlefile_catalog"],"string":"[\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps_after_20161205\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_sobloo\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_child\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_item\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_not_recursive\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_recursive\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stact_reader_fetch_singlefile_catalog\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":455,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-257"},"base_commit":{"kind":"string","value":"d18287d37a7deb98457d7068402218983150c7f8"},"created_at":{"kind":"string","value":"2021-04-21 19:45:33"},"environment_setup_commit":{"kind":"string","value":"f32b8071ac367db96ff8f9f8709f0771f9d898f2"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 25fe07bb..8cd4814c 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -487,9 +487,13 @@ class EODataAccessGateway(object):\n :param raise_errors: When an error occurs when searching, if this is set to\n True, the error is raised (default: False)\n :type raise_errors: bool\n- :param start: Start sensing UTC time in iso format\n+ :param start: Start sensing time in ISO 8601 format (e.g. \"1990-11-26\",\n+ \"1990-11-26T14:30:10.153Z\", \"1990-11-26T14:30:10+02:00\", ...).\n+ If no time offset is given, the time is assumed to be given in UTC.\n :type start: str\n- :param end: End sensing UTC time in iso format\n+ :param end: End sensing time in ISO 8601 format (e.g. \"1990-11-26\",\n+ \"1990-11-26T14:30:10.153Z\", \"1990-11-26T14:30:10+02:00\", ...).\n+ If no time offset is given, the time is assumed to be given in UTC.\n :type end: str\n :param geom: Search area that can be defined in different ways:\n \n@@ -600,9 +604,13 @@ class EODataAccessGateway(object):\n \n :param items_per_page: The number of results requested per page (default: 20)\n :type items_per_page: int\n- :param start: Start sensing UTC time in iso format\n+ :param start: Start sensing time in ISO 8601 format (e.g. \"1990-11-26\",\n+ \"1990-11-26T14:30:10.153Z\", \"1990-11-26T14:30:10+02:00\", ...).\n+ If no time offset is given, the time is assumed to be given in UTC.\n :type start: str\n- :param end: End sensing UTC time in iso format\n+ :param end: End sensing time in ISO 8601 format (e.g. \"1990-11-26\",\n+ \"1990-11-26T14:30:10.153Z\", \"1990-11-26T14:30:10+02:00\", ...).\n+ If no time offset is given, the time is assumed to be given in UTC.\n :type end: str\n :param geom: Search area that can be defined in different ways:\n \n@@ -728,9 +736,13 @@ class EODataAccessGateway(object):\n available, a default value of 50 is used instead.\n items_per_page can also be set to any arbitrary value.\n :type items_per_page: int\n- :param start: Start sensing UTC time in iso format\n+ :param start: Start sensing time in ISO 8601 format (e.g. \"1990-11-26\",\n+ \"1990-11-26T14:30:10.153Z\", \"1990-11-26T14:30:10+02:00\", ...).\n+ If no time offset is given, the time is assumed to be given in UTC.\n :type start: str\n- :param end: End sensing UTC time in iso format\n+ :param end: End sensing time in ISO 8601 format (e.g. \"1990-11-26\",\n+ \"1990-11-26T14:30:10.153Z\", \"1990-11-26T14:30:10+02:00\", ...).\n+ If no time offset is given, the time is assumed to be given in UTC.\n :type end: str\n :param geom: Search area that can be defined in different ways:\n \n@@ -844,9 +856,13 @@ class EODataAccessGateway(object):\n * TODO: better expose cloudCover\n * other search params are passed to Searchplugin.query()\n \n- :param start: Start sensing UTC time in iso format\n+ :param start: Start sensing time in ISO 8601 format (e.g. \"1990-11-26\",\n+ \"1990-11-26T14:30:10.153Z\", \"1990-11-26T14:30:10+02:00\", ...).\n+ If no time offset is given, the time is assumed to be given in UTC.\n :type start: str\n- :param end: End sensing UTC time in iso format\n+ :param end: End sensing time in ISO 8601 format (e.g. \"1990-11-26\",\n+ \"1990-11-26T14:30:10.153Z\", \"1990-11-26T14:30:10+02:00\", ...).\n+ If no time offset is given, the time is assumed to be given in UTC.\n :type end: str\n :param geom: Search area that can be defined in different ways (see search)\n :type geom: Union[str, dict, shapely.geometry.base.BaseGeometry]\ndiff --git a/eodag/api/product/metadata_mapping.py b/eodag/api/product/metadata_mapping.py\nindex b3f0acb7..d5b253e7 100644\n--- a/eodag/api/product/metadata_mapping.py\n+++ b/eodag/api/product/metadata_mapping.py\n@@ -22,7 +22,8 @@ from datetime import datetime\n from string import Formatter\n \n import geojson\n-from dateutil.tz import tzutc\n+from dateutil.parser import isoparse\n+from dateutil.tz import UTC, tzutc\n from jsonpath_ng.ext import parse\n from lxml import etree\n from lxml.etree import XPathEvalError\n@@ -117,7 +118,7 @@ def format_metadata(search_param, *args, **kwargs):\n \"\"\"Format a string of form {<field_name>#<conversion_function>}\n \n The currently understood converters are:\n- - ``utc_to_timestamp_milliseconds``: converts a utc date string to a timestamp in\n+ - ``datetime_to_timestamp_milliseconds``: converts a utc date string to a timestamp in\n milliseconds\n - ``to_wkt``: converts a geometry to its well known text representation\n - ``to_iso_utc_datetime_from_milliseconds``: converts a utc timestamp in given\n@@ -183,13 +184,14 @@ def format_metadata(search_param, *args, **kwargs):\n return super(MetadataFormatter, self).convert_field(value, conversion)\n \n @staticmethod\n- def convert_utc_to_timestamp_milliseconds(value):\n- if len(value) == 10:\n- return int(\n- 1e3 * get_timestamp(value, date_format=\"%Y-%m-%d\", as_utc=True)\n- )\n- else:\n- return int(1e3 * get_timestamp(value, as_utc=True))\n+ def convert_datetime_to_timestamp_milliseconds(date_time):\n+ \"\"\"Convert a date_time (str) to a Unix timestamp in milliseconds\n+\n+ \"2021-04-21T18:27:19.123Z\" => \"1619029639123\"\n+ \"2021-04-21\" => \"1618963200000\"\n+ \"2021-04-21T00:00:00+02:00\" => \"1618956000000\"\n+ \"\"\"\n+ return int(1e3 * get_timestamp(date_time))\n \n @staticmethod\n def convert_to_wkt_convex_hull(value):\n@@ -254,6 +256,10 @@ def format_metadata(search_param, *args, **kwargs):\n \n @staticmethod\n def convert_to_iso_utc_datetime_from_milliseconds(timestamp):\n+ \"\"\"Convert a timestamp in milliseconds (int) to its ISO8601 UTC format\n+\n+ 1619029639123 => \"2021-04-21T18:27:19.123Z\"\n+ \"\"\"\n try:\n return (\n datetime.fromtimestamp(timestamp / 1e3, tzutc())\n@@ -264,22 +270,33 @@ def format_metadata(search_param, *args, **kwargs):\n return timestamp\n \n @staticmethod\n- def convert_to_iso_utc_datetime(dt):\n- for idx, fmt in enumerate((\"%Y-%m-%d\", \"%Y-%m-%dT%H:%M:%S\")):\n- try:\n- return (\n- datetime.strptime(dt, fmt)\n- .replace(tzinfo=tzutc())\n- .isoformat(timespec=\"milliseconds\")\n- .replace(\"+00:00\", \"Z\")\n- )\n- except ValueError:\n- if idx == 1:\n- raise\n+ def convert_to_iso_utc_datetime(date_time):\n+ \"\"\"Convert a date_time (str) to its ISO 8601 representation in UTC\n+\n+ \"2021-04-21\" => \"2021-04-21T00:00:00.000Z\"\n+ \"2021-04-21T00:00:00.000+02:00\" => \"2021-04-20T22:00:00.000Z\"\n+ \"\"\"\n+ dt = isoparse(date_time)\n+ if not dt.tzinfo:\n+ dt = dt.replace(tzinfo=UTC)\n+ elif dt.tzinfo is not UTC:\n+ dt = dt.astimezone(UTC)\n+ return dt.isoformat(timespec=\"milliseconds\").replace(\"+00:00\", \"Z\")\n \n @staticmethod\n def convert_to_iso_date(datetime_string):\n- return datetime_string[:10]\n+ \"\"\"Convert an ISO8601 datetime (str) to its ISO8601 date format\n+\n+ \"2021-04-21T18:27:19.123Z\" => \"2021-04-21\"\n+ \"2021-04-21\" => \"2021-04-21\"\n+ \"2021-04-21T00:00:00+06:00\" => \"2021-04-20\" !\n+ \"\"\"\n+ dt = isoparse(datetime_string)\n+ if not dt.tzinfo:\n+ dt = dt.replace(tzinfo=UTC)\n+ elif dt.tzinfo is not UTC:\n+ dt = dt.astimezone(UTC)\n+ return dt.isoformat()[:10]\n \n @staticmethod\n def convert_remove_extension(string):\ndiff --git a/eodag/cli.py b/eodag/cli.py\nindex c3dc7315..408d6a24 100755\n--- a/eodag/cli.py\n+++ b/eodag/cli.py\n@@ -156,13 +156,13 @@ def version():\n \"-s\",\n \"--start\",\n type=click.DateTime(),\n- help=\"Start sensing UTC time of the product (in ISO8601 format: yyyy-MM-ddThh:mm:ss.SSSZ)\",\n+ help=\"Start sensing time in ISO8601 format (e.g. '1990-11-26', '1990-11-26T14:30:10'). UTC is assumed\",\n )\n @click.option(\n \"-e\",\n \"--end\",\n type=click.DateTime(),\n- help=\"End sensing UTC time of the product (in ISO8601 format: yyyy-MM-ddThh:mm:ss.SSSZ)\",\n+ help=\"End sensing time in ISO8601 format (e.g. '1990-11-26', '1990-11-26T14:30:10'). UTC is assumed\",\n )\n @click.option(\n \"-c\",\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 6b3bd5f6..4d0b2c44 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -913,10 +913,10 @@\n # OpenSearch Parameters for Acquistion Parameters Search (Table 6)\n availabilityTime: '$.data.availabilityTime'\n startTimeFromAscendingNode:\n- - 'f=acquisition.beginViewingDate:gte:{startTimeFromAscendingNode#utc_to_timestamp_milliseconds}'\n+ - 'f=acquisition.beginViewingDate:gte:{startTimeFromAscendingNode#datetime_to_timestamp_milliseconds}'\n - '{$.data.acquisition.beginViewingDate#to_iso_utc_datetime_from_milliseconds}'\n completionTimeFromAscendingNode:\n- - 'f=acquisition.endViewingDate:lte:{completionTimeFromAscendingNode#utc_to_timestamp_milliseconds}'\n+ - 'f=acquisition.endViewingDate:lte:{completionTimeFromAscendingNode#datetime_to_timestamp_milliseconds}'\n - '{$.data.acquisition.endViewingDate#to_iso_utc_datetime_from_milliseconds}'\n polarizationChannels: '$.data.acquisition.polarization'\n sensorMode: '$.data.acquisition.sensorMode'\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 0c21649b..fe7745a3 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -33,7 +33,6 @@ import types\n import unicodedata\n import warnings\n from collections import defaultdict\n-from datetime import datetime, timezone\n from itertools import repeat, starmap\n from pathlib import Path\n \n@@ -52,6 +51,8 @@ from urllib.request import url2pathname\n import click\n import shapefile\n import shapely.wkt\n+from dateutil.parser import isoparse\n+from dateutil.tz import UTC\n from jsonpath_ng import jsonpath\n from jsonpath_ng.ext import parse\n from requests.auth import AuthBase\n@@ -331,28 +332,19 @@ def maybe_generator(obj):\n yield obj\n \n \n-def get_timestamp(date_time, date_format=\"%Y-%m-%dT%H:%M:%S\", as_utc=False):\n- \"\"\"Returns the given UTC date_time string formatted with date_format as timestamp\n+def get_timestamp(date_time):\n+ \"\"\"Return the Unix timestamp of an ISO8601 date/datetime in seconds.\n+\n+ If the datetime has no offset, it is assumed to be an UTC datetime.\n \n :param date_time: the datetime string to return as timestamp\n :type date_time: str\n- :param date_format: (optional) the date format in which date_time is given,\n- defaults to '%Y-%m-%dT%H:%M:%S'\n- :type date_format: str\n- :param as_utc: (optional) if ``True``, consider the input ``date_time`` as UTC,\n- defaults to ``False``\n- :type date_format: bool\n :returns: the timestamp corresponding to the date_time string in seconds\n :rtype: float\n-\n- .. versionchanged::\n- 2.1.0\n-\n- * The optional parameter ``as_utc`` to consider the input date as UTC.\n \"\"\"\n- dt = datetime.strptime(date_time, date_format)\n- if as_utc:\n- dt = dt.replace(tzinfo=timezone.utc)\n+ dt = isoparse(date_time)\n+ if not dt.tzinfo:\n+ dt = dt.replace(tzinfo=UTC)\n return dt.timestamp()\n \n \n"},"problem_statement":{"kind":"string","value":"ISO8601 formatted time fails on some providers\nTime formatted using ISO8601 (`yyyy-MM-ddThh:mm:ss.SSSZ`) fails for some providers like `sobloo` or `astraea_eod`, when `yyyy-MM-ddThh:mm:ss` is ok.\r\n\r\nFix is needed to make both work"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex df74276a..9dcb79e6 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -29,6 +29,7 @@ from eodag.api.core import DEFAULT_ITEMS_PER_PAGE, DEFAULT_MAX_ITEMS_PER_PAGE\n from eodag.api.product import EOProduct\n from eodag.api.product.drivers import DRIVERS\n from eodag.api.product.drivers.base import NoDriver\n+from eodag.api.product.metadata_mapping import format_metadata\n from eodag.api.search_result import SearchResult\n from eodag.cli import download, eodag, list_pt, search_crunch\n from eodag.config import load_default_config, merge_configs\ndiff --git a/tests/units/test_metadata_mapping.py b/tests/units/test_metadata_mapping.py\nnew file mode 100644\nindex 00000000..e510ed38\n--- /dev/null\n+++ b/tests/units/test_metadata_mapping.py\n@@ -0,0 +1,88 @@\n+# -*- coding: utf-8 -*-\n+# Copyright 2021, CS GROUP - France, http://www.c-s.fr\n+#\n+# This file is part of EODAG project\n+# https://www.github.com/CS-SI/EODAG\n+#\n+# Licensed under the Apache License, Version 2.0 (the \"License\");\n+# you may not use this file except in compliance with the License.\n+# You may obtain a copy of the License at\n+#\n+# http://www.apache.org/licenses/LICENSE-2.0\n+#\n+# Unless required by applicable law or agreed to in writing, software\n+# distributed under the License is distributed on an \"AS IS\" BASIS,\n+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+# See the License for the specific language governing permissions and\n+# limitations under the License.\n+import unittest\n+\n+from tests.context import format_metadata\n+\n+\n+class TestMetadataFormatter(unittest.TestCase):\n+ def test_convert_datetime_to_timestamp_milliseconds(self):\n+ to_format = \"{fieldname#datetime_to_timestamp_milliseconds}\"\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21T18:27:19.123Z\"),\n+ \"1619029639123\",\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21T18:27:19.123\"),\n+ \"1619029639123\",\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21\"), \"1618963200000\"\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21T00:00:00+02:00\"),\n+ \"1618956000000\",\n+ )\n+\n+ def test_convert_to_iso_utc_datetime(self):\n+ to_format = \"{fieldname#to_iso_utc_datetime}\"\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21T18:27:19.123Z\"),\n+ \"2021-04-21T18:27:19.123Z\",\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21T18:27:19.123\"),\n+ \"2021-04-21T18:27:19.123Z\",\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21\"),\n+ \"2021-04-21T00:00:00.000Z\",\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21T00:00:00.000+02:00\"),\n+ \"2021-04-20T22:00:00.000Z\",\n+ )\n+\n+ def test_convert_to_iso_date(self):\n+ to_format = \"{fieldname#to_iso_date}\"\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21T18:27:19.123Z\"),\n+ \"2021-04-21\",\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21T18:27:19.123\"),\n+ \"2021-04-21\",\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21\"), \"2021-04-21\"\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"2021-04-21T00:00:00+06:00\"),\n+ \"2021-04-20\",\n+ )\n+\n+ def test_convert_to_iso_utc_datetime_from_milliseconds(self):\n+ to_format = \"{fieldname#to_iso_utc_datetime_from_milliseconds}\"\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=1619029639123),\n+ \"2021-04-21T18:27:19.123Z\",\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=1618963200000),\n+ \"2021-04-21T00:00:00.000Z\",\n+ )\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex ef865dff..69902012 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -25,16 +25,28 @@ from tests.context import get_timestamp, path_to_uri, uri_to_path\n \n class TestUtils(unittest.TestCase):\n def test_utils_get_timestamp(self):\n- \"\"\"get_timestamp must handle UTC dates\"\"\"\n- requested_date = \"2020-08-08\"\n- date_format = \"%Y-%m-%d\"\n- # If as_utc is False, get_timestamp takes into account the\n- # local timezone (because of datetime.timestamp)\n- ts_in_secs = get_timestamp(requested_date, date_format=date_format, as_utc=True)\n- expected_dt = datetime.strptime(requested_date, date_format)\n+ \"\"\"get_timestamp must return a UNIX timestamp\"\"\"\n+ # Date to timestamp to date, this assumes the date is in UTC\n+ requested_date = \"2020-08-08\" # Considered as 2020-08-08T00:00:00Z\n+ ts_in_secs = get_timestamp(requested_date)\n+ expected_dt = datetime.strptime(requested_date, \"%Y-%m-%d\")\n actual_utc_dt = datetime.utcfromtimestamp(ts_in_secs)\n self.assertEqual(actual_utc_dt, expected_dt)\n \n+ # Handle UTC datetime\n+ self.assertEqual(get_timestamp(\"2021-04-21T18:27:19.123Z\"), 1619029639.123)\n+ # If date/datetime not in UTC, it assumes it's in UTC\n+ self.assertEqual(\n+ get_timestamp(\"2021-04-21T18:27:19.123\"),\n+ get_timestamp(\"2021-04-21T18:27:19.123Z\"),\n+ )\n+ self.assertEqual(\n+ get_timestamp(\"2021-04-21\"), get_timestamp(\"2021-04-21T00:00:00.000Z\")\n+ )\n+\n+ # Non UTC datetime are also supported\n+ self.assertEqual(get_timestamp(\"2021-04-21T00:00:00+02:00\"), 1618956000)\n+\n def test_uri_to_path(self):\n if sys.platform == \"win32\":\n expected_path = r\"C:\\tmp\\file.txt\"\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 1,\n \"test_score\": 0\n },\n \"num_modified_files\": 5\n}"},"version":{"kind":"string","value":"2.2"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y make pandoc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@d18287d37a7deb98457d7068402218983150c7f8#egg=eodag\nexceptiongroup==1.2.2\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.30.0\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - exceptiongroup==1.2.2\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - nose==1.3.7\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.30.0\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_datetime_to_timestamp_milliseconds","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_date","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime","tests/units/test_utils.py::TestUtils::test_utils_get_timestamp"],"string":"[\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_datetime_to_timestamp_milliseconds\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_date\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime\",\n \"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime_from_milliseconds","tests/units/test_utils.py::TestUtils::test_path_to_uri","tests/units/test_utils.py::TestUtils::test_uri_to_path"],"string":"[\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime_from_milliseconds\",\n \"tests/units/test_utils.py::TestUtils::test_path_to_uri\",\n \"tests/units/test_utils.py::TestUtils::test_uri_to_path\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":456,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-260"},"base_commit":{"kind":"string","value":"0632e4147f26119bea43e0672f6d06e75d216a20"},"created_at":{"kind":"string","value":"2021-04-21 22:16:22"},"environment_setup_commit":{"kind":"string","value":"f32b8071ac367db96ff8f9f8709f0771f9d898f2"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 6efceb2a..92e4b6f5 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -47,6 +47,7 @@ from eodag.utils import (\n _deprecated,\n get_geometry_from_various,\n makedirs,\n+ uri_to_path,\n )\n from eodag.utils.exceptions import (\n NoMatchingProductType,\n@@ -434,7 +435,7 @@ class EODataAccessGateway(object):\n if results is None:\n results = searcher.search(query, limit=None)\n else:\n- results.upgrade_and_extend(searcher.search(query))\n+ results.upgrade_and_extend(searcher.search(query, limit=None))\n guesses = [r[\"ID\"] for r in results or []]\n if guesses:\n return guesses\n@@ -844,6 +845,19 @@ class EODataAccessGateway(object):\n if product_type is None:\n try:\n guesses = self.guess_product_type(**kwargs)\n+\n+ # guess_product_type raises a NoMatchingProductType error if no product\n+ # is found. Here, the supported search params are removed from the\n+ # kwargs if present, not to propagate them to the query itself.\n+ for param in (\n+ \"instrument\",\n+ \"platform\",\n+ \"platformSerialIdentifier\",\n+ \"processingLevel\",\n+ \"sensorType\",\n+ ):\n+ kwargs.pop(param, None)\n+\n # By now, only use the best bet\n product_type = guesses[0]\n except NoMatchingProductType:\n@@ -883,11 +897,20 @@ class EODataAccessGateway(object):\n search_plugin = next(\n self._plugins_manager.get_search_plugins(product_type=product_type)\n )\n- logger.info(\n- \"Searching product type '%s' on provider: %s\",\n- product_type,\n- search_plugin.provider,\n- )\n+ if search_plugin.provider != self.get_preferred_provider()[0]:\n+ logger.warning(\n+ \"Product type '%s' is not available with provider '%s'. \"\n+ \"Searching it on provider '%s' instead.\",\n+ product_type,\n+ self.get_preferred_provider()[0],\n+ search_plugin.provider,\n+ )\n+ else:\n+ logger.info(\n+ \"Searching product type '%s' on provider: %s\",\n+ product_type,\n+ search_plugin.provider,\n+ )\n # Add product_types_config to plugin config. This dict contains product\n # type metadata that will also be stored in each product's properties.\n try:\n@@ -1281,8 +1304,10 @@ class EODataAccessGateway(object):\n This is an alias to the method of the same name on\n :class:`~eodag.api.product.EOProduct`, but it performs some additional\n checks like verifying that a downloader and authenticator are registered\n- for the product before trying to download it. If the metadata mapping for\n- `downloadLink` is set to something that can be interpreted as a link on a\n+ for the product before trying to download it.\n+\n+ If the metadata mapping for `downloadLink` is set to something that can be\n+ interpreted as a link on a\n local filesystem, the download is skipped (by now, only a link starting\n with `file://` is supported). Therefore, any user that knows how to extract\n product location from product metadata on a provider can override the\n@@ -1316,10 +1341,15 @@ class EODataAccessGateway(object):\n :rtype: str\n :raises: :class:`~eodag.utils.exceptions.PluginImplementationError`\n :raises: :class:`RuntimeError`\n+\n+ .. versionchanged:: 2.3.0\n+\n+ Returns a file system path instead of a file URI ('/tmp' instead of\n+ 'file:///tmp').\n \"\"\"\n- if product.location.startswith(\"file\"):\n+ if product.location.startswith(\"file://\"):\n logger.info(\"Local product detected. Download skipped\")\n- return product.location\n+ return uri_to_path(product.location)\n if product.downloader is None:\n auth = product.downloader_auth\n if auth is None:\ndiff --git a/eodag/api/product/_product.py b/eodag/api/product/_product.py\nindex a0d98184..8deaeb61 100644\n--- a/eodag/api/product/_product.py\n+++ b/eodag/api/product/_product.py\n@@ -240,6 +240,11 @@ class EOProduct(object):\n :rtype: str\n :raises: :class:`~eodag.utils.exceptions.PluginImplementationError`\n :raises: :class:`RuntimeError`\n+\n+ .. versionchanged:: 2.3.0\n+\n+ Returns a file system path instead of a file URI ('/tmp' instead of\n+ 'file:///tmp').\n \"\"\"\n if progress_callback is None:\n progress_callback = ProgressCallback()\n@@ -254,7 +259,7 @@ class EOProduct(object):\n if self.downloader_auth is not None\n else self.downloader_auth\n )\n- fs_location = self.downloader.download(\n+ fs_path = self.downloader.download(\n self,\n auth=auth,\n progress_callback=progress_callback,\n@@ -262,13 +267,8 @@ class EOProduct(object):\n timeout=timeout,\n **kwargs\n )\n- if fs_location is None:\n- raise DownloadError(\n- \"Invalid file location returned by download process: '{}'\".format(\n- fs_location\n- )\n- )\n- self.location = \"file://{}\".format(fs_location)\n+ if fs_path is None:\n+ raise DownloadError(\"Missing file location returned by download process\")\n logger.debug(\n \"Product location updated from '%s' to '%s'\",\n self.remote_location,\n@@ -279,24 +279,23 @@ class EOProduct(object):\n \"'remote_location' property: %s\",\n self.remote_location,\n )\n- return self.location\n+ return fs_path\n \n def get_quicklook(self, filename=None, base_dir=None, progress_callback=None):\n- \"\"\"Download the quick look image of a given EOProduct from its provider if it\n+ \"\"\"Download the quicklook image of a given EOProduct from its provider if it\n exists.\n \n- :param filename: (optional) the name to give to the downloaded quicklook.\n+ :param filename: (optional) the name to give to the downloaded quicklook. If not\n+ given, it defaults to the product's ID (without file extension).\n :type filename: str\n :param base_dir: (optional) the absolute path of the directory where to store\n- the quicklooks in the filesystem. If it is not given, it\n- defaults to the `quicklooks` directory under this EO product\n- downloader's ``outputs_prefix`` config param\n+ the quicklooks in the filesystem. If not given, it defaults to the\n+ `quicklooks` directory under this EO product downloader's ``outputs_prefix``\n+ config param (e.g. '/tmp/quicklooks/')\n :type base_dir: str\n- :param progress_callback: (optional) A method or a callable object\n- which takes a current size and a maximum\n- size as inputs and handle progress bar\n- creation and update to give the user a\n- feedback on the download progress\n+ :param progress_callback: (optional) A method or a callable object which takes\n+ a current size and a maximum size as inputs and handle progress bar creation\n+ and update to give the user a feedback on the download progress\n :type progress_callback: :class:`~eodag.utils.ProgressCallback` or None\n :returns: The absolute path of the downloaded quicklook\n :rtype: str\ndiff --git a/eodag/plugins/apis/base.py b/eodag/plugins/apis/base.py\nindex 6a775973..b6d385ef 100644\n--- a/eodag/plugins/apis/base.py\n+++ b/eodag/plugins/apis/base.py\n@@ -18,12 +18,40 @@\n import logging\n \n from eodag.plugins.base import PluginTopic\n+from eodag.plugins.download.base import DEFAULT_DOWNLOAD_TIMEOUT, DEFAULT_DOWNLOAD_WAIT\n \n logger = logging.getLogger(\"eodag.plugins.apis.base\")\n \n \n class Api(PluginTopic):\n- \"\"\"Plugins API Base plugin\"\"\"\n+ \"\"\"Plugins API Base plugin\n+\n+ An Api plugin has three download methods that it must implement:\n+ - ``query``: search for products\n+ - ``download``: download a single ``EOProduct``\n+ - ``download_all``: download multiple products from a ``SearchResult``\n+\n+ The download methods must:\n+ - download data in the ``outputs_prefix`` folder defined in the plugin's\n+ configuration or passed through kwargs\n+ - extract products from their archive (if relevant) if ``extract`` is set to True\n+ (True by default)\n+ - save a product in an archive/directory (in ``outputs_prefix``) whose name must be\n+ the product's ``title`` property\n+ - update the product's ``location`` attribute once its data is downloaded (and\n+ eventually after it's extracted) to the product's location given as a file URI\n+ (e.g. 'file:///tmp/product_folder' on Linux or\n+ 'file:///C:/Users/username/AppData/LOcal/Temp' on Windows)\n+ - save a *record* file in the directory ``outputs_prefix/.downloaded`` whose name\n+ is built on the MD5 hash of the product's ``remote_location`` attribute\n+ (``hashlib.md5(remote_location.encode(\"utf-8\")).hexdigest()``) and whose content is\n+ the product's ``remote_location`` attribute itself.\n+ - not try to download a product whose ``location`` attribute already points to an\n+ existing file/directory\n+ - not try to download a product if its *record* file exists as long as the expected\n+ product's file/directory. If the *record* file only is found, it must be deleted\n+ (it certainly indicates that the download didn't complete)\n+ \"\"\"\n \n def query(self, *args, count=True, **kwargs):\n \"\"\"Implementation of how the products must be searched goes here.\n@@ -32,14 +60,77 @@ class Api(PluginTopic):\n which will be processed by a Download plugin (2) and the total number of products matching\n the search criteria. If ``count`` is False, the second element returned must be ``None``.\n \n- .. versionchanged::\n- 2.1\n+ .. versionchanged:: 2.1\n \n- * A new optional boolean parameter ``count`` which defaults to ``True``, it\n- allows to trigger or not a count query.\n+ A new optional boolean parameter ``count`` which defaults to ``True``, it\n+ allows to trigger or not a count query.\n \"\"\"\n raise NotImplementedError(\"A Api plugin must implement a method named query\")\n \n- def download(self, *args, **kwargs):\n- \"\"\"Implementation of how the products must be downloaded.\"\"\"\n- raise NotImplementedError(\"A Api plugin must implement a method named download\")\n+ def download(\n+ self,\n+ product,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n+ r\"\"\"\n+ Base download method. Not available, it must be defined for each plugin.\n+\n+ :param product: EO product to download\n+ :type product: :class:`~eodag.api.product.EOProduct`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: The absolute path to the downloaded product in the local filesystem\n+ (e.g. '/tmp/product.zip' on Linux or\n+ 'C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip' on Windows)\n+ :rtype: str\n+ \"\"\"\n+ raise NotImplementedError(\n+ \"An Api plugin must implement a method named download\"\n+ )\n+\n+ def download_all(\n+ self,\n+ products,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n+ \"\"\"\n+ Base download_all method.\n+\n+ :param products: Products to download\n+ :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: List of absolute paths to the downloaded products in the local\n+ filesystem (e.g. ``['/tmp/product.zip']`` on Linux or\n+ ``['C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip']`` on Windows)\n+ :rtype: list\n+ \"\"\"\n+ raise NotImplementedError(\n+ \"A Api plugin must implement a method named download_all\"\n+ )\ndiff --git a/eodag/plugins/apis/usgs.py b/eodag/plugins/apis/usgs.py\nindex 37ce4443..768778e5 100644\n--- a/eodag/plugins/apis/usgs.py\n+++ b/eodag/plugins/apis/usgs.py\n@@ -37,7 +37,12 @@ from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_WAIT,\n Download,\n )\n-from eodag.utils import GENERIC_PRODUCT_TYPE, format_dict_items, get_progress_callback\n+from eodag.utils import (\n+ GENERIC_PRODUCT_TYPE,\n+ format_dict_items,\n+ get_progress_callback,\n+ path_to_uri,\n+)\n from eodag.utils.exceptions import AuthenticationError, NotAvailableError\n \n logger = logging.getLogger(\"eodag.plugins.apis.usgs\")\n@@ -164,6 +169,8 @@ class UsgsApi(Api, Download):\n product, outputs_extension=\".tar.gz\", **kwargs\n )\n if not fs_path or not record_filename:\n+ if fs_path:\n+ product.location = path_to_uri(fs_path)\n return fs_path\n \n # progress bar init\n@@ -264,8 +271,11 @@ class UsgsApi(Api, Download):\n )\n new_fs_path = fs_path[: fs_path.index(\".tar.gz\")]\n shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n return new_fs_path\n- return self._finalize(fs_path, outputs_extension=\".tar.gz\", **kwargs)\n+ product_path = self._finalize(fs_path, outputs_extension=\".tar.gz\", **kwargs)\n+ product.location = path_to_uri(product_path)\n+ return product_path\n \n def download_all(\n self,\ndiff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex 2f0b132d..687985c6 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -34,7 +34,7 @@ from eodag.api.product.metadata_mapping import (\n properties_from_xml,\n )\n from eodag.plugins.download.base import Download\n-from eodag.utils import get_progress_callback, urlparse\n+from eodag.utils import get_progress_callback, path_to_uri, urlparse\n from eodag.utils.exceptions import AuthenticationError, DownloadError\n \n logger = logging.getLogger(\"eodag.plugins.download.aws\")\n@@ -185,6 +185,8 @@ class AwsDownload(Download):\n # prepare download & create dirs (before updating metadata)\n product_local_path, record_filename = self._prepare_download(product, **kwargs)\n if not product_local_path or not record_filename:\n+ if product_local_path:\n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n product_local_path = product_local_path.replace(\".zip\", \"\")\n # remove existing incomplete file\n@@ -395,6 +397,7 @@ class AwsDownload(Download):\n fh.write(product.remote_location)\n logger.debug(\"Download recorded in %s\", record_filename)\n \n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n \n def get_authenticated_objects(self, bucket_name, prefix, auth_dict):\ndiff --git a/eodag/plugins/download/base.py b/eodag/plugins/download/base.py\nindex 8d6dbd3e..bfcb8ac1 100644\n--- a/eodag/plugins/download/base.py\n+++ b/eodag/plugins/download/base.py\n@@ -25,7 +25,7 @@ from datetime import datetime, timedelta\n from time import sleep\n \n from eodag.plugins.base import PluginTopic\n-from eodag.utils import get_progress_callback, sanitize\n+from eodag.utils import get_progress_callback, sanitize, uri_to_path\n from eodag.utils.exceptions import (\n AuthenticationError,\n MisconfiguredError,\n@@ -43,6 +43,31 @@ DEFAULT_DOWNLOAD_TIMEOUT = 20\n class Download(PluginTopic):\n \"\"\"Base Download Plugin.\n \n+ A Download plugin has two download methods that it must implement:\n+ - ``download``: download a single ``EOProduct``\n+ - ``download_all``: download multiple products from a ``SearchResult``\n+\n+ They must:\n+ - download data in the ``outputs_prefix`` folder defined in the plugin's\n+ configuration or passed through kwargs\n+ - extract products from their archive (if relevant) if ``extract`` is set to True\n+ (True by default)\n+ - save a product in an archive/directory (in ``outputs_prefix``) whose name must be\n+ the product's ``title`` property\n+ - update the product's ``location`` attribute once its data is downloaded (and\n+ eventually after it's extracted) to the product's location given as a file URI\n+ (e.g. 'file:///tmp/product_folder' on Linux or\n+ 'file:///C:/Users/username/AppData/LOcal/Temp' on Windows)\n+ - save a *record* file in the directory ``outputs_prefix/.downloaded`` whose name\n+ is built on the MD5 hash of the product's ``remote_location`` attribute\n+ (``hashlib.md5(remote_location.encode(\"utf-8\")).hexdigest()``) and whose content is\n+ the product's ``remote_location`` attribute itself.\n+ - not try to download a product whose ``location`` attribute already points to an\n+ existing file/directory\n+ - not try to download a product if its *record* file exists as long as the expected\n+ product's file/directory. If the *record* file only is found, it must be deleted\n+ (it certainly indicates that the download didn't complete)\n+\n :param provider: An eodag providers configuration dictionary\n :type provider: dict\n :param config: Path to the user configuration file\n@@ -62,8 +87,26 @@ class Download(PluginTopic):\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n **kwargs,\n ):\n- \"\"\"\n- Base download method. Not available, should be defined for each plugin\n+ r\"\"\"\n+ Base download method. Not available, it must be defined for each plugin.\n+\n+ :param product: EO product to download\n+ :type product: :class:`~eodag.api.product.EOProduct`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: The absolute path to the downloaded product in the local filesystem\n+ (e.g. '/tmp/product.zip' on Linux or\n+ 'C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip' on Windows)\n+ :rtype: str\n \"\"\"\n raise NotImplementedError(\n \"A Download plugin must implement a method named download\"\n@@ -78,8 +121,7 @@ class Download(PluginTopic):\n :rtype: tuple\n \"\"\"\n if product.location != product.remote_location:\n- scheme_prefix_len = len(\"file://\")\n- fs_path = product.location[scheme_prefix_len:]\n+ fs_path = uri_to_path(product.location)\n # The fs path of a product is either a file (if 'extract' config is False) or a directory\n if os.path.isfile(fs_path) or os.path.isdir(fs_path):\n logger.info(\n@@ -249,9 +291,32 @@ class Download(PluginTopic):\n **kwargs,\n ):\n \"\"\"\n- A sequential download_all implementation\n- using download method for every products\n+ Base download_all method.\n+\n+ This specific implementation uses the ``download`` method implemented by\n+ the plugin to **sequentially** attempt to download products.\n+\n+ :param products: Products to download\n+ :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param progress_callback: A progress callback\n+ :type progress_callback: :class:`~eodag.utils.ProgressCallback`, optional\n+ :param wait: If download fails, wait time in minutes between two download tries\n+ :type wait: int, optional\n+ :param timeout: If download fails, maximum time in minutes before stop retrying\n+ to download\n+ :type timeout: int, optional\n+ :param dict kwargs: ``outputs_prefix` (``str``), `extract` (``bool``) and\n+ ``dl_url_params`` (``dict``) can be provided as additional kwargs and will\n+ override any other values defined in a configuration file or with\n+ environment variables.\n+ :returns: List of absolute paths to the downloaded products in the local\n+ filesystem (e.g. ``['/tmp/product.zip']`` on Linux or\n+ ``['C:\\\\Users\\\\username\\\\AppData\\\\Local\\\\Temp\\\\product.zip']`` on Windows)\n+ :rtype: list\n \"\"\"\n+ # Products are going to be removed one by one from this sequence once\n+ # downloaded.\n+ products = products[:]\n paths = []\n # initiate retry loop\n start_time = datetime.now()\ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 11662a18..f54fff86 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -32,7 +32,7 @@ from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_WAIT,\n Download,\n )\n-from eodag.utils import get_progress_callback\n+from eodag.utils import get_progress_callback, path_to_uri\n from eodag.utils.exceptions import (\n AuthenticationError,\n MisconfiguredError,\n@@ -70,6 +70,8 @@ class HTTPDownload(Download):\n \"\"\"\n fs_path, record_filename = self._prepare_download(product, **kwargs)\n if not fs_path or not record_filename:\n+ if fs_path:\n+ product.location = path_to_uri(fs_path)\n return fs_path\n \n # progress bar init\n@@ -80,7 +82,7 @@ class HTTPDownload(Download):\n \n # download assets if exist instead of remote_location\n try:\n- return self._download_assets(\n+ fs_path = self._download_assets(\n product,\n fs_path.replace(\".zip\", \"\"),\n record_filename,\n@@ -88,6 +90,8 @@ class HTTPDownload(Download):\n progress_callback,\n **kwargs\n )\n+ product.location = path_to_uri(fs_path)\n+ return fs_path\n except NotAvailableError:\n pass\n \n@@ -218,8 +222,11 @@ class HTTPDownload(Download):\n )\n new_fs_path = fs_path[: fs_path.index(\".zip\")]\n shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n return new_fs_path\n- return self._finalize(fs_path, **kwargs)\n+ product_path = self._finalize(fs_path, **kwargs)\n+ product.location = path_to_uri(product_path)\n+ return product_path\n \n except NotAvailableError as e:\n if not getattr(self.config, \"order_enabled\", False):\ndiff --git a/eodag/plugins/download/s3rest.py b/eodag/plugins/download/s3rest.py\nindex 71876ea4..2f5628b9 100644\n--- a/eodag/plugins/download/s3rest.py\n+++ b/eodag/plugins/download/s3rest.py\n@@ -29,7 +29,7 @@ from requests import HTTPError\n from eodag.api.product.metadata_mapping import OFFLINE_STATUS\n from eodag.plugins.download.aws import AwsDownload\n from eodag.plugins.download.http import HTTPDownload\n-from eodag.utils import get_progress_callback, urljoin\n+from eodag.utils import get_progress_callback, path_to_uri, urljoin\n from eodag.utils.exceptions import (\n AuthenticationError,\n DownloadError,\n@@ -158,6 +158,7 @@ class S3RestDownload(AwsDownload):\n url_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n record_filename = os.path.join(download_records_dir, url_hash)\n if os.path.isfile(record_filename) and os.path.exists(product_local_path):\n+ product.location = path_to_uri(product_local_path)\n return product_local_path\n # Remove the record file if product_local_path is absent (e.g. it was deleted while record wasn't)\n elif os.path.isfile(record_filename):\n@@ -215,4 +216,5 @@ class S3RestDownload(AwsDownload):\n fh.write(product.remote_location)\n logger.debug(\"Download recorded in %s\", record_filename)\n \n+ product.location = path_to_uri(product_local_path)\n return product_local_path\ndiff --git a/eodag/rest/utils.py b/eodag/rest/utils.py\nindex f48e3eb0..2c6f7e9d 100644\n--- a/eodag/rest/utils.py\n+++ b/eodag/rest/utils.py\n@@ -463,7 +463,7 @@ def download_stac_item_by_id(catalogs, item_id, provider=None):\n \n product_path = eodag_api.download(product)\n \n- return product_path.replace(\"file://\", \"\")\n+ return product_path\n \n \n def get_stac_catalogs(url, root=\"/\", catalogs=[], provider=None):\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 70798110..0c21649b 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -35,6 +35,7 @@ import warnings\n from collections import defaultdict\n from datetime import datetime, timezone\n from itertools import repeat, starmap\n+from pathlib import Path\n \n # All modules using these should import them from utils package\n from urllib.parse import ( # noqa; noqa\n@@ -43,8 +44,10 @@ from urllib.parse import ( # noqa; noqa\n urlencode,\n urljoin,\n urlparse,\n+ urlsplit,\n urlunparse,\n )\n+from urllib.request import url2pathname\n \n import click\n import shapefile\n@@ -203,6 +206,24 @@ def strip_accents(s):\n )\n \n \n+def uri_to_path(uri):\n+ \"\"\"\n+ Convert a file URI (e.g. 'file:///tmp') to a local path (e.g. '/tmp')\n+ \"\"\"\n+ if not uri.startswith(\"file\"):\n+ raise ValueError(\"A file URI must be provided (e.g. 'file:///tmp'\")\n+ _, _, path, _, _ = urlsplit(uri)\n+ # On Windows urlsplit returns the path starting with a slash ('/C:/User)\n+ path = url2pathname(path)\n+ # url2pathname removes it\n+ return path\n+\n+\n+def path_to_uri(path):\n+ \"\"\"Convert a local absolute path to a file URI\"\"\"\n+ return Path(path).as_uri()\n+\n+\n def mutate_dict_in_place(func, mapping):\n \"\"\"Apply func to values of mapping.\n \n@@ -853,13 +874,13 @@ def _deprecated(reason=\"\", version=None):\n \n @functools.wraps(callable)\n def wrapper(*args, **kwargs):\n- warnings.simplefilter(\"always\", DeprecationWarning)\n- warnings.warn(\n- f\"Call to deprecated {ctype} {cname} {reason_}{version_}\",\n- category=DeprecationWarning,\n- stacklevel=2,\n- )\n- warnings.simplefilter(\"default\", DeprecationWarning)\n+ with warnings.catch_warnings():\n+ warnings.simplefilter(\"always\", DeprecationWarning)\n+ warnings.warn(\n+ f\"Call to deprecated {ctype} {cname} {reason_}{version_}\",\n+ category=DeprecationWarning,\n+ stacklevel=2,\n+ )\n return callable(*args, **kwargs)\n \n return wrapper\n"},"problem_statement":{"kind":"string","value":"providers chaining for search\nActually, if a productType is not available for a provider, eodag will use the first matching provider with the highest priority.\r\n\r\nWe can keep this behavior, and add the `search(providers=[\"theia\"])` feature (see also #163 ).\r\n- this code will still look for products in the 1st available provider (peps in our case):\r\n```python\r\ndag.set_preferred_provider(\"theia\")\r\ndag.search(productType='S2_MSI_L1C')\r\n```\r\n- but this one would search only on theia and return nothing with a NotAvailable error, as S2_MSI_L1C is not available on theia:\r\n```python\r\ndag.search(providers=[\"theia\"], productType=\"S2_MSI_L1C\")\r\n```\r\nWe will have to describe that in more details in the tutorials, and I'd say that eodag should log at the warning level that the product searched is not available with the preferred provider. The tutorials should also make it clear that this is valid only for *searching* and not for *downloading*.\r\n\r\nTODOs:\r\n\r\n* [ ] Log when the requested products is not available with the preferred provider and that an alternative provider is used instead\r\n* [ ] Update the tutorials once #163 is fixed to describe the two ways to specify the providers in a search (`dag.set_preferred_provider` and `dag.search(providers=[\"theia\", \"peps\"])`"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex 96807bc8..df74276a 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -44,7 +44,13 @@ from eodag.plugins.manager import PluginManager\n from eodag.plugins.search.base import Search\n from eodag.rest import server as eodag_http_server\n from eodag.rest.utils import eodag_api, get_date\n-from eodag.utils import get_geometry_from_various, get_timestamp, makedirs\n+from eodag.utils import (\n+ get_geometry_from_various,\n+ get_timestamp,\n+ makedirs,\n+ path_to_uri,\n+ uri_to_path,\n+)\n from eodag.utils.exceptions import (\n AddressNotFound,\n AuthenticationError,\ndiff --git a/tests/test_cli.py b/tests/test_cli.py\nindex 94e07cc3..a4171dbb 100644\n--- a/tests/test_cli.py\n+++ b/tests/test_cli.py\n@@ -427,7 +427,7 @@ class TestEodagCli(unittest.TestCase):\n TEST_RESOURCES_PATH, \"eodag_search_result.geojson\"\n )\n config_path = os.path.join(TEST_RESOURCES_PATH, \"file_config_override.yml\")\n- dag.return_value.download_all.return_value = [\"file:///fake_path\"]\n+ dag.return_value.download_all.return_value = [\"/fake_path\"]\n result = self.runner.invoke(\n eodag,\n [\"download\", \"--search-results\", search_results_path, \"-f\", config_path],\n@@ -435,7 +435,7 @@ class TestEodagCli(unittest.TestCase):\n dag.assert_called_once_with(user_conf_file_path=config_path)\n dag.return_value.deserialize.assert_called_once_with(search_results_path)\n self.assertEqual(dag.return_value.download_all.call_count, 1)\n- self.assertEqual(\"Downloaded file:///fake_path\\n\", result.output)\n+ self.assertEqual(\"Downloaded /fake_path\\n\", result.output)\n \n # Testing the case when no downloaded path is returned\n dag.return_value.download_all.return_value = [None]\ndiff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py\nindex be2dee90..ca0a145c 100644\n--- a/tests/test_end_to_end.py\n+++ b/tests/test_end_to_end.py\n@@ -18,15 +18,22 @@\n \n import datetime\n import glob\n+import hashlib\n import multiprocessing\n import os\n import shutil\n+import time\n import unittest\n from pathlib import Path\n \n from eodag.api.product.metadata_mapping import ONLINE_STATUS\n from tests import TEST_RESOURCES_PATH, TESTS_DOWNLOAD_PATH\n-from tests.context import AuthenticationError, EODataAccessGateway\n+from tests.context import (\n+ AuthenticationError,\n+ EODataAccessGateway,\n+ SearchResult,\n+ uri_to_path,\n+)\n \n THEIA_SEARCH_ARGS = [\n \"theia\",\n@@ -148,8 +155,8 @@ class EndToEndBase(unittest.TestCase):\n \"\"\"\n search_criteria = {\n \"productType\": product_type,\n- \"startTimeFromAscendingNode\": start,\n- \"completionTimeFromAscendingNode\": end,\n+ \"start\": start,\n+ \"end\": end,\n \"geom\": geom,\n }\n if items_per_page:\n@@ -190,8 +197,8 @@ class EndToEndBase(unittest.TestCase):\n - Return all the products\n \"\"\"\n search_criteria = {\n- \"startTimeFromAscendingNode\": start,\n- \"completionTimeFromAscendingNode\": end,\n+ \"start\": start,\n+ \"end\": end,\n \"geom\": geom,\n }\n self.eodag.set_preferred_provider(provider)\n@@ -428,6 +435,196 @@ class TestEODagEndToEnd(EndToEndBase):\n self.assertGreater(len(results), 10)\n \n \n+class TestEODagEndToEndComplete(unittest.TestCase):\n+ \"\"\"Make real and complete test cases that search for products, download them and\n+ extract them. There should be just a tiny number of these tests which can be quite\n+ long to run.\n+\n+ There must be a user conf file in the test resources folder named user_conf.yml\n+ \"\"\"\n+\n+ @classmethod\n+ def setUpClass(cls):\n+\n+ # use tests/resources/user_conf.yml if exists else default file ~/.config/eodag/eodag.yml\n+ tests_user_conf = os.path.join(TEST_RESOURCES_PATH, \"user_conf.yml\")\n+ if not os.path.isfile(tests_user_conf):\n+ unittest.SkipTest(\"Missing user conf file with credentials\")\n+ cls.eodag = EODataAccessGateway(\n+ user_conf_file_path=os.path.join(TEST_RESOURCES_PATH, \"user_conf.yml\")\n+ )\n+\n+ # create TESTS_DOWNLOAD_PATH is not exists\n+ if not os.path.exists(TESTS_DOWNLOAD_PATH):\n+ os.makedirs(TESTS_DOWNLOAD_PATH)\n+\n+ for provider, conf in cls.eodag.providers_config.items():\n+ # Change download directory to TESTS_DOWNLOAD_PATH for tests\n+ if hasattr(conf, \"download\") and hasattr(conf.download, \"outputs_prefix\"):\n+ conf.download.outputs_prefix = TESTS_DOWNLOAD_PATH\n+ elif hasattr(conf, \"api\") and hasattr(conf.api, \"outputs_prefix\"):\n+ conf.api.outputs_prefix = TESTS_DOWNLOAD_PATH\n+ else:\n+ # no outputs_prefix found for provider\n+ pass\n+ # Force all providers implementing RestoSearch and defining how to retrieve\n+ # products by specifying the\n+ # location scheme to use https, enabling actual downloading of the product\n+ if (\n+ getattr(getattr(conf, \"search\", {}), \"product_location_scheme\", \"https\")\n+ == \"file\"\n+ ):\n+ conf.search.product_location_scheme = \"https\"\n+\n+ def tearDown(self):\n+ \"\"\"Clear the test directory\"\"\"\n+ for p in Path(TESTS_DOWNLOAD_PATH).glob(\"**/*\"):\n+ try:\n+ os.remove(p)\n+ except OSError:\n+ shutil.rmtree(p)\n+\n+ def test_end_to_end_complete_peps(self):\n+ \"\"\"Complete end-to-end test with PEPS for download and download_all\"\"\"\n+ # Search for products that are ONLINE and as small as possible\n+ today = datetime.date.today()\n+ month_span = datetime.timedelta(weeks=4)\n+ search_results, _ = self.eodag.search(\n+ productType=\"S2_MSI_L1C\",\n+ start=(today - month_span).isoformat(),\n+ end=today.isoformat(),\n+ geom={\"lonmin\": 1, \"latmin\": 42, \"lonmax\": 5, \"latmax\": 46},\n+ items_per_page=100,\n+ )\n+ prods_sorted_by_size = SearchResult(\n+ sorted(search_results, key=lambda p: p.properties[\"resourceSize\"])\n+ )\n+ prods_online = [\n+ p for p in prods_sorted_by_size if p.properties[\"storageStatus\"] == \"ONLINE\"\n+ ]\n+ if len(prods_online) < 2:\n+ unittest.skip(\n+ \"Not enough ONLINE products found, update the search criteria.\"\n+ )\n+\n+ # Retrieve one product to work with\n+ product = prods_online[0]\n+\n+ prev_remote_location = product.remote_location\n+ prev_location = product.location\n+ # The expected product's archive filename is based on the product's title\n+ expected_product_name = f\"{product.properties['title']}.zip\"\n+\n+ # Download the product, but DON'T extract it\n+ archive_file_path = self.eodag.download(product, extract=False)\n+\n+ # The archive must have been downloaded\n+ self.assertTrue(os.path.isfile(archive_file_path))\n+ # Its name must be the \"{product_title}.zip\"\n+ self.assertIn(\n+ expected_product_name, os.listdir(product.downloader.config.outputs_prefix)\n+ )\n+ # Its size should be >= 5 KB\n+ archive_size = os.stat(archive_file_path).st_size\n+ self.assertGreaterEqual(archive_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # That points to the downloaded archive\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+ # A .downloaded folder must have been created\n+ record_dir = os.path.join(TESTS_DOWNLOAD_PATH, \".downloaded\")\n+ self.assertTrue(os.path.isdir(record_dir))\n+ # It must contain a file per product downloade, whose name is\n+ # the MD5 hash of the product's remote location\n+ expected_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n+ record_file = os.path.join(record_dir, expected_hash)\n+ self.assertTrue(os.path.isfile(record_file))\n+ # Its content must be the product's remote location\n+ record_content = Path(record_file).read_text()\n+ self.assertEqual(record_content, product.remote_location)\n+\n+ # The product should not be downloaded again if the download method\n+ # is executed again\n+ previous_archive_file_path = archive_file_path\n+ previous_location = product.location\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The paths should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(product.location, previous_location)\n+\n+ # If we emulate that the product has just been found, it should not\n+ # be downloaded again since the record file is still present.\n+ product.location = product.remote_location\n+ # Pretty much the same checks as with the previous step\n+ previous_archive_file_path = archive_file_path\n+ start_time = time.time()\n+ archive_file_path = self.eodag.download(product, extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ # The returned path should be the same as before\n+ self.assertEqual(archive_file_path, previous_archive_file_path)\n+ self.assertEqual(uri_to_path(product.location), archive_file_path)\n+\n+ # Remove the archive\n+ os.remove(archive_file_path)\n+\n+ # Now, the archive is removed but its associated record file\n+ # still exists. Downloading the product again should really\n+ # download it, if its location points to the remote location.\n+ # The product should be automatically extracted.\n+ product.location = product.remote_location\n+ product_dir_path = self.eodag.download(product)\n+\n+ # Its size should be >= 5 KB\n+ downloaded_size = sum(\n+ f.stat().st_size for f in Path(product_dir_path).glob(\"**/*\") if f.is_file()\n+ )\n+ self.assertGreaterEqual(downloaded_size, 5 * 2 ** 10)\n+ # The product remote_location should be the same\n+ self.assertEqual(prev_remote_location, product.remote_location)\n+ # However its location should have been update\n+ self.assertNotEqual(prev_location, product.location)\n+ # The location must follow the file URI scheme\n+ self.assertTrue(product.location.startswith(\"file://\"))\n+ # The location must point to a SAFE directory\n+ self.assertTrue(product.location.endswith(\"SAFE\"))\n+ # The path must point to a SAFE directory\n+ self.assertTrue(os.path.isdir(product_dir_path))\n+ self.assertTrue(product_dir_path.endswith(\"SAFE\"))\n+\n+ # Remove the archive and extracted product and reset the product's location\n+ os.remove(archive_file_path)\n+ shutil.rmtree(Path(product_dir_path).parent)\n+ product.location = product.remote_location\n+\n+ # Now let's check download_all\n+ products = prods_sorted_by_size[:2]\n+ # Pass a copy because download_all empties the list\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+\n+ # The returned paths must point to the downloaded archives\n+ # Each product's location must be a URI path to the archive\n+ for product, archive_path in zip(products, archive_paths):\n+ self.assertTrue(os.path.isfile(archive_path))\n+ self.assertEqual(uri_to_path(product.location), archive_path)\n+\n+ # Downloading the product again should not download them, since\n+ # they are all already there.\n+ prev_archive_paths = archive_paths\n+ start_time = time.time()\n+ archive_paths = self.eodag.download_all(products[:], extract=False)\n+ end_time = time.time()\n+ self.assertLess(end_time - start_time, 2) # Should be really fast (< 2s)\n+ self.assertEqual(archive_paths, prev_archive_paths)\n+\n+\n # @unittest.skip(\"skip auto run\")\n class TestEODagEndToEndWrongCredentials(EndToEndBase):\n \"\"\"Make real case tests with wrong credentials. This assumes the existence of a\n@@ -462,7 +659,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n \n def test_end_to_end_good_apikey_wrong_credentials_aws_eos(self):\n@@ -489,7 +686,7 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], AWSEOS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\n self.assertGreater(len(results), 0)\n one_product = results[0]\n@@ -525,5 +722,5 @@ class TestEODagEndToEndWrongCredentials(EndToEndBase):\n raise_errors=True,\n **dict(\n zip([\"productType\", \"start\", \"end\", \"geom\"], USGS_SEARCH_ARGS[1:])\n- )\n+ ),\n )\ndiff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex cb6022e4..69cf9a3e 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -367,7 +367,7 @@ class TestCoreGeometry(unittest.TestCase):\n \"lonmax\": 2,\n \"latmax\": 52,\n }\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # Bad dict with a missing key\n del geometry[\"lonmin\"]\n self.assertRaises(\n@@ -378,10 +378,10 @@ class TestCoreGeometry(unittest.TestCase):\n )\n # Tuple\n geometry = (0, 50, 2, 52)\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # List\n geometry = list(geometry)\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # List without 4 items\n geometry.pop()\n self.assertRaises(\n@@ -392,7 +392,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n # WKT\n geometry = ref_geom_as_wkt\n- self.assertEquals(get_geometry_from_various([], geometry=geometry), ref_geom)\n+ self.assertEqual(get_geometry_from_various([], geometry=geometry), ref_geom)\n # Some other shapely geom\n geometry = LineString([[0, 0], [1, 1]])\n self.assertIsInstance(\n@@ -409,7 +409,7 @@ class TestCoreGeometry(unittest.TestCase):\n locations_config, locations=dict(country=\"FRA\")\n )\n self.assertIsInstance(geom_france, MultiPolygon)\n- self.assertEquals(len(geom_france), 3) # France + Guyana + Corsica\n+ self.assertEqual(len(geom_france), 3) # France + Guyana + Corsica\n \n def test_get_geometry_from_various_locations_with_wrong_location_name_in_kwargs(\n self,\n@@ -444,7 +444,7 @@ class TestCoreGeometry(unittest.TestCase):\n locations_config, locations=dict(country=\"PA[A-Z]\")\n )\n self.assertIsInstance(geom_regex_pa, MultiPolygon)\n- self.assertEquals(len(geom_regex_pa), 2)\n+ self.assertEqual(len(geom_regex_pa), 2)\n \n def test_get_geometry_from_various_locations_no_match_raises_error(self):\n \"\"\"If the location search doesn't match any of the feature attribute a ValueError must be raised\"\"\"\n@@ -468,7 +468,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n self.assertIsInstance(geom_combined, MultiPolygon)\n # France + Guyana + Corsica + somewhere over Poland\n- self.assertEquals(len(geom_combined), 4)\n+ self.assertEqual(len(geom_combined), 4)\n geometry = {\n \"lonmin\": 0,\n \"latmin\": 50,\n@@ -480,7 +480,7 @@ class TestCoreGeometry(unittest.TestCase):\n )\n self.assertIsInstance(geom_combined, MultiPolygon)\n # The bounding box overlaps with France inland\n- self.assertEquals(len(geom_combined), 3)\n+ self.assertEqual(len(geom_combined), 3)\n \n \n class TestCoreSearch(unittest.TestCase):\n@@ -546,7 +546,6 @@ class TestCoreSearch(unittest.TestCase):\n \"geometry\": None,\n \"productType\": None,\n }\n- self.assertDictContainsSubset(expected, prepared_search)\n expected = set([\"geometry\", \"productType\", \"auth\", \"search_plugin\"])\n self.assertSetEqual(expected, set(prepared_search))\n \n@@ -557,11 +556,10 @@ class TestCoreSearch(unittest.TestCase):\n \"end\": \"2020-02-01\",\n }\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\n- \"startTimeFromAscendingNode\": base[\"start\"],\n- \"completionTimeFromAscendingNode\": base[\"end\"],\n- }\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"startTimeFromAscendingNode\"], base[\"start\"])\n+ self.assertEqual(\n+ prepared_search[\"completionTimeFromAscendingNode\"], base[\"end\"]\n+ )\n \n def test__prepare_search_geom(self):\n \"\"\"_prepare_search must handle geom, box and bbox\"\"\"\n@@ -608,8 +606,7 @@ class TestCoreSearch(unittest.TestCase):\n \"\"\"_prepare_search must handle when a product type is given\"\"\"\n base = {\"productType\": \"S2_MSI_L1C\"}\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\"productType\": base[\"productType\"]}\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n \n def test__prepare_search_product_type_guess_it(self):\n \"\"\"_prepare_search must guess a product type when required to\"\"\"\n@@ -621,8 +618,19 @@ class TestCoreSearch(unittest.TestCase):\n platformSerialIdentifier=\"S2A\",\n )\n prepared_search = self.dag._prepare_search(**base)\n- expected = {\"productType\": \"S2_MSI_L1C\", **base}\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], \"S2_MSI_L1C\")\n+\n+ def test__prepare_search_remove_guess_kwargs(self):\n+ \"\"\"_prepare_search must remove the guess kwargs\"\"\"\n+ # Uses guess_product_type to find the product matching\n+ # the best the given params.\n+ base = dict(\n+ instrument=\"MSI\",\n+ platform=\"SENTINEL2\",\n+ platformSerialIdentifier=\"S2A\",\n+ )\n+ prepared_search = self.dag._prepare_search(**base)\n+ self.assertEqual(len(base.keys() & prepared_search.keys()), 0)\n \n def test__prepare_search_with_id(self):\n \"\"\"_prepare_search must handle a search by id\"\"\"\n@@ -638,8 +646,8 @@ class TestCoreSearch(unittest.TestCase):\n \"cloudCover\": 10,\n }\n prepared_search = self.dag._prepare_search(**base)\n- expected = base\n- self.assertDictContainsSubset(expected, prepared_search)\n+ self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n+ self.assertEqual(prepared_search[\"cloudCover\"], base[\"cloudCover\"])\n \n def test__prepare_search_search_plugin_has_known_product_properties(self):\n \"\"\"_prepare_search must attach the product properties to the search plugin\"\"\"\ndiff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py\nindex f43aaa84..0faf7704 100644\n--- a/tests/units/test_eoproduct.py\n+++ b/tests/units/test_eoproduct.py\n@@ -90,23 +90,18 @@ class TestEOProduct(EODagTestCase):\n self.provider, self.eoproduct_props, productType=self.product_type\n )\n geo_interface = geojson.loads(geojson.dumps(product))\n- self.assertDictContainsSubset(\n- {\n- \"type\": \"Feature\",\n- \"geometry\": self._tuples_to_lists(geometry.mapping(self.geometry)),\n- },\n- geo_interface,\n+ self.assertEqual(geo_interface[\"type\"], \"Feature\")\n+ self.assertEqual(\n+ geo_interface[\"geometry\"],\n+ self._tuples_to_lists(geometry.mapping(self.geometry)),\n )\n- self.assertDictContainsSubset(\n- {\n- \"eodag_provider\": self.provider,\n- \"eodag_search_intersection\": self._tuples_to_lists(\n- geometry.mapping(product.search_intersection)\n- ),\n- \"eodag_product_type\": self.product_type,\n- },\n- geo_interface[\"properties\"],\n+ properties = geo_interface[\"properties\"]\n+ self.assertEqual(properties[\"eodag_provider\"], self.provider)\n+ self.assertEqual(\n+ properties[\"eodag_search_intersection\"],\n+ self._tuples_to_lists(geometry.mapping(product.search_intersection)),\n )\n+ self.assertEqual(properties[\"eodag_product_type\"], self.product_type)\n \n def test_eoproduct_from_geointerface(self):\n \"\"\"EOProduct must be build-able from its geo-interface\"\"\"\n@@ -295,7 +290,6 @@ class TestEOProduct(EODagTestCase):\n self.requests_http_get.assert_called_with(\n self.download_url, stream=True, auth=None, params={}\n )\n- product_file_path = product_file_path[len(\"file://\") :]\n download_records_dir = pathlib.Path(product_file_path).parent / \".downloaded\"\n # A .downloaded folder should be created, including a text file that\n # lists the downloaded product by their url\n@@ -332,7 +326,7 @@ class TestEOProduct(EODagTestCase):\n \n # Download\n product_dir_path = product.download()\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n # The returned path must be a directory.\n self.assertTrue(product_dir_path.is_dir())\n # Check that the extracted dir has at least one file, there are more\n@@ -379,7 +373,7 @@ class TestEOProduct(EODagTestCase):\n self.download_url, stream=True, auth=None, params={\"fakeparam\": \"dummy\"}\n )\n # Check that \"outputs_prefix\" is respected.\n- product_dir_path = pathlib.Path(product_dir_path[len(\"file://\") :])\n+ product_dir_path = pathlib.Path(product_dir_path)\n self.assertEqual(product_dir_path.parent.name, output_dir_name)\n # We've asked to extract the product so there should be a directory.\n self.assertTrue(product_dir_path.is_dir())\ndiff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py\nindex 28369fee..09dd221d 100644\n--- a/tests/units/test_search_plugins.py\n+++ b/tests/units/test_search_plugins.py\n@@ -106,8 +106,8 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):\n info_message=mock.ANY,\n exception_message=mock.ANY,\n )\n- self.assertEquals(estimate, self.sobloo_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.sobloo_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n @mock.patch(\n@@ -144,7 +144,7 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n self.assertIsNone(estimate)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n \n@@ -196,8 +196,8 @@ class TestSearchPluginPostJsonSearch(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n \n- self.assertEquals(estimate, self.awseos_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.awseos_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n @mock.patch(\n@@ -232,7 +232,7 @@ class TestSearchPluginPostJsonSearch(BaseSearchPluginTest):\n )\n \n self.assertIsNone(estimate)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n \n \n@@ -294,6 +294,6 @@ class TestSearchPluginODataV4Search(BaseSearchPluginTest):\n exception_message=mock.ANY,\n )\n \n- self.assertEquals(estimate, self.onda_products_count)\n- self.assertEquals(len(products), number_of_products)\n+ self.assertEqual(estimate, self.onda_products_count)\n+ self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\ndiff --git a/tests/units/test_search_result.py b/tests/units/test_search_result.py\nindex f1697117..d4e52303 100644\n--- a/tests/units/test_search_result.py\n+++ b/tests/units/test_search_result.py\n@@ -32,9 +32,8 @@ class TestSearchResult(unittest.TestCase):\n def test_search_result_geo_interface(self):\n \"\"\"SearchResult must provide a FeatureCollection geo-interface\"\"\"\n geo_interface = geojson.loads(geojson.dumps(self.search_result))\n- self.assertDictContainsSubset(\n- {\"type\": \"FeatureCollection\", \"features\": []}, geo_interface\n- )\n+ self.assertEqual(geo_interface[\"type\"], \"FeatureCollection\")\n+ self.assertEqual(geo_interface[\"features\"], [])\n \n def test_search_result_is_list_like(self):\n \"\"\"SearchResult must provide a list interface\"\"\"\ndiff --git a/tests/units/test_stac_reader.py b/tests/units/test_stac_reader.py\nindex 8960ee81..f242fb38 100644\n--- a/tests/units/test_stac_reader.py\n+++ b/tests/units/test_stac_reader.py\n@@ -47,10 +47,8 @@ class TestStacReader(unittest.TestCase):\n items = fetch_stac_items(self.child_cat)\n self.assertIsInstance(items, list)\n self.assertEqual(len(items), self.child_cat_len)\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"},\n- items[0],\n- )\n+ self.assertEqual(items[0][\"type\"], \"Feature\")\n+ self.assertEqual(items[0][\"collection\"], \"S2_MSI_L1C\")\n \n def test_stac_reader_fetch_root_not_recursive(self):\n \"\"\"fetch_stac_items from root must provide an empty list when no recursive\"\"\"\n@@ -62,23 +60,20 @@ class TestStacReader(unittest.TestCase):\n items = fetch_stac_items(self.root_cat, recursive=True)\n self.assertEqual(len(items), self.root_cat_len)\n for item in items:\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"}, item\n- )\n+ self.assertEqual(item[\"type\"], \"Feature\")\n+ self.assertEqual(item[\"collection\"], \"S2_MSI_L1C\")\n \n def test_stac_reader_fetch_item(self):\n \"\"\"fetch_stac_items from an item must return it\"\"\"\n item = fetch_stac_items(self.item)\n self.assertIsInstance(item, list)\n self.assertEqual(len(item), 1)\n- self.assertDictContainsSubset(\n- {\"type\": \"Feature\", \"collection\": \"S2_MSI_L1C\"},\n- item[0],\n- )\n+ self.assertEqual(item[0][\"type\"], \"Feature\")\n+ self.assertEqual(item[0][\"collection\"], \"S2_MSI_L1C\")\n \n def test_stact_reader_fetch_singlefile_catalog(self):\n \"\"\"fetch_stact_items must return all the items from a single file catalog\"\"\"\n items = fetch_stac_items(self.singlefile_cat)\n self.assertIsInstance(items, list)\n self.assertEqual(len(items), self.singlefile_cat_len)\n- self.assertDictContainsSubset({\"type\": \"Feature\"}, items[0])\n+ self.assertEqual(items[0][\"type\"], \"Feature\")\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex 58732712..ef865dff 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -16,10 +16,11 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n \n+import sys\n import unittest\n from datetime import datetime\n \n-from tests.context import get_timestamp\n+from tests.context import get_timestamp, path_to_uri, uri_to_path\n \n \n class TestUtils(unittest.TestCase):\n@@ -33,3 +34,21 @@ class TestUtils(unittest.TestCase):\n expected_dt = datetime.strptime(requested_date, date_format)\n actual_utc_dt = datetime.utcfromtimestamp(ts_in_secs)\n self.assertEqual(actual_utc_dt, expected_dt)\n+\n+ def test_uri_to_path(self):\n+ if sys.platform == \"win32\":\n+ expected_path = r\"C:\\tmp\\file.txt\"\n+ tested_uri = r\"file:///C:/tmp/file.txt\"\n+ else:\n+ expected_path = \"/tmp/file.txt\"\n+ tested_uri = \"file:///tmp/file.txt\"\n+ actual_path = uri_to_path(tested_uri)\n+ self.assertEqual(actual_path, expected_path)\n+ with self.assertRaises(ValueError):\n+ uri_to_path(\"not_a_uri\")\n+\n+ def test_path_to_uri(self):\n+ if sys.platform == \"win32\":\n+ self.assertEqual(path_to_uri(r\"C:\\tmp\\file.txt\"), \"file:///C:/tmp/file.txt\")\n+ else:\n+ self.assertEqual(path_to_uri(\"/tmp/file.txt\"), \"file:///tmp/file.txt\")\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_issue_reference\",\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 0,\n \"test_score\": 2\n },\n \"num_modified_files\": 10\n}"},"version":{"kind":"string","value":"2.2"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@0632e4147f26119bea43e0672f6d06e75d216a20#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.1\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - 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pycparser==2.22\n - pyflakes==3.3.1\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list 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\"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_from_feature_collection\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_geo_interface\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_is_list_like\",\n \"tests/units/test_utils.py::TestUtils::test_path_to_uri\",\n \"tests/units/test_utils.py::TestUtils::test_uri_to_path\",\n \"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid","tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid","tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher","tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps_after_20161205","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws","tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_sobloo","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_child","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_item","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_not_recursive","tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_recursive","tests/units/test_stac_reader.py::TestStacReader::test_stact_reader_fetch_singlefile_catalog"],"string":"[\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid\",\n \"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps_after_20161205\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_sobloo\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_child\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_item\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_not_recursive\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stac_reader_fetch_root_recursive\",\n \"tests/units/test_stac_reader.py::TestStacReader::test_stact_reader_fetch_singlefile_catalog\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":457,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-304"},"base_commit":{"kind":"string","value":"f32b8071ac367db96ff8f9f8709f0771f9d898f2"},"created_at":{"kind":"string","value":"2021-06-15 16:30:26"},"environment_setup_commit":{"kind":"string","value":"f32b8071ac367db96ff8f9f8709f0771f9d898f2"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex e356dd02..cd96491f 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -804,27 +804,6 @@\n S2_MSI_L2A:\n collection: S2ST\n productType: S2MSI2A\n- S3_EFR:\n- productType: OL_1_EFR___\n- collection: S3\n- S3_ERR:\n- productType: OL_1_ERR___\n- collection: S3\n- S3_OLCI_L2LFR:\n- productType: OL_2_LFR___\n- collection: S3\n- S3_OLCI_L2LRR:\n- productType: OL_2_LRR___\n- collection: S3\n- S3_SLSTR_L1RBT:\n- productType: SL_1_RBT___\n- collection: S3\n- S3_SLSTR_L2LST:\n- productType: SL_2_LST___\n- collection: S3\n- S3_LAN:\n- productType: SR_2_LAN___\n- collection: S3\n GENERIC_PRODUCT_TYPE:\n productType: '{productType}'\n collection: '{collection}'\n"},"problem_statement":{"kind":"string","value":"PEPS no longer supports S3\nAttempting to use EODAG to download S3 data of any type from PEPs results in no search results returned as PEPS no longer supports S3 data. Confirmed directly by the PEPS help desk on 14.06.2021. \r\n\r\n\"Comme l’indique l’actualité du 15 février sur notre flux RSS (https://peps-mission.cnes.fr/fr/peps-info-suppression-des-donnees-sentinel-3), PEPS ne diffuse plus de données S3.\"\r\n\r\nTherefore \r\n`dag.available_providers(\"S3_OLCI_L2LRR\")`\r\n\r\nShould not return PEPS as a source. \r\n\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex 17c4f06f..556277df 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -91,17 +91,17 @@ class TestCore(unittest.TestCase):\n \"astraea_eod\",\n \"earth_search\",\n ],\n- \"S3_ERR\": [\"peps\", \"onda\", \"creodias\"],\n- \"S3_EFR\": [\"peps\", \"onda\", \"creodias\"],\n- \"S3_LAN\": [\"peps\", \"onda\", \"creodias\"],\n+ \"S3_ERR\": [\"onda\", \"creodias\"],\n+ \"S3_EFR\": [\"onda\", \"creodias\"],\n+ \"S3_LAN\": [\"onda\", \"creodias\"],\n \"S3_SRA\": [\"onda\", \"creodias\"],\n \"S3_SRA_BS\": [\"onda\", \"creodias\"],\n \"S3_SRA_A_BS\": [\"onda\", \"creodias\"],\n \"S3_WAT\": [\"onda\", \"creodias\"],\n- \"S3_OLCI_L2LFR\": [\"peps\", \"onda\", \"creodias\", \"mundi\"],\n- \"S3_OLCI_L2LRR\": [\"peps\", \"onda\", \"creodias\"],\n- \"S3_SLSTR_L1RBT\": [\"peps\", \"onda\", \"creodias\"],\n- \"S3_SLSTR_L2LST\": [\"peps\", \"onda\", \"creodias\"],\n+ \"S3_OLCI_L2LFR\": [\"onda\", \"creodias\", \"mundi\"],\n+ \"S3_OLCI_L2LRR\": [\"onda\", \"creodias\"],\n+ \"S3_SLSTR_L1RBT\": [\"onda\", \"creodias\"],\n+ \"S3_SLSTR_L2LST\": [\"onda\", \"creodias\"],\n \"PLD_PAN\": [\"theia\"],\n \"PLD_XS\": [\"theia\"],\n \"PLD_BUNDLE\": [\"theia\"],\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 0,\n \"issue_text_score\": 0,\n \"test_score\": 2\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.2"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-mock\",\n \"pytest-asyncio\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\",\n \"apt-get install -y make\",\n \"apt-get install -y pandoc\"\n ],\n \"python\": \"3.7\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==24.2.0\nbleach==6.0.0\nboto3==1.33.13\nbotocore==1.33.13\ncachetools==5.5.2\ncertifi @ file:///croot/certifi_1671487769961/work/certifi\ncffi==1.15.1\ncfgv==3.3.1\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.2.7\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.20.1\n-e git+https://github.com/CS-SI/eodag.git@f32b8071ac367db96ff8f9f8709f0771f9d898f2#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.0.2\nFaker==18.13.0\nfilelock==3.12.2\nflake8==3.9.2\nflasgger==0.9.7.1\nFlask==2.2.5\ngeojson==3.2.0\nidentify==2.5.24\nidna==3.10\nimportlib-metadata==6.7.0\nimportlib-resources==5.12.0\niniconfig==2.0.0\nitsdangerous==2.1.2\njaraco.classes==3.2.3\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.17.3\nkeyring==24.1.1\nlxml==5.3.1\nMarkdown==3.4.4\nmarkdown-it-py==2.2.0\nMarkupSafe==2.1.5\nmccabe==0.6.1\nmdurl==0.1.2\nmistune==3.0.2\nmore-itertools==9.1.0\nmoto==4.2.14\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==1.21.6\nOWSLib==0.31.0\npackaging==24.0\npandas==1.3.5\npkginfo==1.10.0\npkgutil_resolve_name==1.3.10\nplatformdirs==4.0.0\npluggy==1.2.0\nply==3.11\npre-commit==2.21.0\npycodestyle==2.7.0\npycparser==2.21\npyflakes==2.3.1\nPygments==2.17.2\npyproj==3.2.1\npyproject-api==1.5.3\npyrsistent==0.19.3\npyshp==2.3.1\npystac==1.5.0\npytest==7.4.4\npytest-asyncio==0.21.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-xdist==3.5.0\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.1\nreadme-renderer==37.3\nrequests==2.31.0\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.23.3\nrfc3986==2.0.0\nrich==13.8.1\ns3transfer==0.8.2\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.0.1\ntox==4.8.0\ntqdm==4.67.1\ntwine==4.0.2\ntypes-PyYAML==6.0.12.12\ntyping_extensions==4.7.1\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.26.6\nwebencodings==0.5.1\nWerkzeug==2.2.3\nWhoosh==2.7.4\nxarray==0.20.2\nxmltodict==0.14.2\nzipp==3.15.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - certifi=2022.12.7=py37h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=1.1.1w=h7f8727e_0\n - pip=22.3.1=py37h06a4308_0\n - python=3.7.16=h7a1cb2a_0\n - readline=8.2=h5eee18b_0\n - setuptools=65.6.3=py37h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.38.4=py37h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==24.2.0\n - bleach==6.0.0\n - boto3==1.33.13\n - botocore==1.33.13\n - cachetools==5.5.2\n - cffi==1.15.1\n - cfgv==3.3.1\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.2.7\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.20.1\n - exceptiongroup==1.2.2\n - execnet==2.0.2\n - faker==18.13.0\n - filelock==3.12.2\n - flake8==3.9.2\n - flasgger==0.9.7.1\n - flask==2.2.5\n - geojson==3.2.0\n - identify==2.5.24\n - idna==3.10\n - importlib-metadata==6.7.0\n - importlib-resources==5.12.0\n - iniconfig==2.0.0\n - itsdangerous==2.1.2\n - jaraco-classes==3.2.3\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.17.3\n - keyring==24.1.1\n - lxml==5.3.1\n - markdown==3.4.4\n - markdown-it-py==2.2.0\n - markupsafe==2.1.5\n - mccabe==0.6.1\n - mdurl==0.1.2\n - mistune==3.0.2\n - more-itertools==9.1.0\n - moto==4.2.14\n - nodeenv==1.9.1\n - nose==1.3.7\n - numpy==1.21.6\n - owslib==0.31.0\n - packaging==24.0\n - pandas==1.3.5\n - pkginfo==1.10.0\n - pkgutil-resolve-name==1.3.10\n - platformdirs==4.0.0\n - pluggy==1.2.0\n - ply==3.11\n - pre-commit==2.21.0\n - pycodestyle==2.7.0\n - pycparser==2.21\n - pyflakes==2.3.1\n - pygments==2.17.2\n - pyproj==3.2.1\n - pyproject-api==1.5.3\n - pyrsistent==0.19.3\n - pyshp==2.3.1\n - pystac==1.5.0\n - pytest==7.4.4\n - pytest-asyncio==0.21.2\n - pytest-cov==4.1.0\n - pytest-mock==3.11.1\n - pytest-xdist==3.5.0\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.1\n - readme-renderer==37.3\n - requests==2.31.0\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.23.3\n - rfc3986==2.0.0\n - rich==13.8.1\n - s3transfer==0.8.2\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.0.1\n - tox==4.8.0\n - tqdm==4.67.1\n - twine==4.0.2\n - types-pyyaml==6.0.12.12\n - typing-extensions==4.7.1\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.26.6\n - webencodings==0.5.1\n - werkzeug==2.2.3\n - whoosh==2.7.4\n - xarray==0.20.2\n - xmltodict==0.14.2\n - zipp==3.15.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok"],"string":"[\n \"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations","tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex"],"string":"[\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list 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\"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found\",\n \"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists\",\n \"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_for_unsupported_provider\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_ok\",\n \"tests/units/test_core.py::TestCore::test_rebuild_index\",\n \"tests/units/test_core.py::TestCore::test_supported_product_types_in_unit_test\",\n \"tests/units/test_core.py::TestCore::test_supported_providers_in_unit_test\",\n \"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_config_file_in_envvar\",\n \"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_locations_file_in_envvar\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_config_standard_location\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_index_if_not_exist\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_locations_standard_location\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_locations_no_match_raises_error\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_locations_with_wrong_location_name_in_kwargs\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_locations_with_wrong_location_name_in_locations_dict\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_no_locations\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_can_raise_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_counts_by_default\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_does_not_raise_by_default\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_doest_not_register_downloader_if_no_search_intersection\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_fuzzy_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_no_count_returned\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_null_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_query_products_must_be_a_list\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_register_downloader_if_search_intersection\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_support_itemsperpage_higher_than_maximum\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_without_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_dates\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_geom\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_locations\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_parameters\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_plugins_when_search_by_id\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_available\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_not_available\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_preserve_additional_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_guess_it\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_provided\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_remove_guess_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_generic_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_known_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_with_id\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_without_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_must_collect_them_all\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_default_value\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_max_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":458,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-367"},"base_commit":{"kind":"string","value":"3963758fc5fda86da4799a26eb64fbc610c444da"},"created_at":{"kind":"string","value":"2021-11-26 15:47:22"},"environment_setup_commit":{"kind":"string","value":"d9f16f411fdf5eb6ad752f984782dd06ed882dc8"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/docs/_static/params_mapping_extra.csv b/docs/_static/params_mapping_extra.csv\nindex b677c5ad..cf6647c4 100644\n--- a/docs/_static/params_mapping_extra.csv\n+++ b/docs/_static/params_mapping_extra.csv\n@@ -10,7 +10,7 @@ herbaceousCover,,,:green:`queryable metadata`,,,,,,,,,\n iceCover,,,:green:`queryable metadata`,,,,,,,,,\r\n id,:green:`queryable metadata`,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,:green:`queryable metadata`\r\n orderLink,,,,,,,metadata only,,,,,\r\n-polarizationChannels,metadata only,,metadata only,metadata only,metadata only,metadata only,metadata only,,metadata only,metadata only,,metadata only\r\n+polarizationChannels,metadata only,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,metadata only,,metadata only,metadata only,,:green:`queryable metadata`\r\n polarizationMode,,,,,metadata only,metadata only,,:green:`queryable metadata`,,metadata only,,\r\n processingBaseline,,,:green:`queryable metadata`,,,,,,,,,\r\n publishedAfter,,,:green:`queryable metadata`,,,,,,,,,\r\ndiff --git a/docs/_static/params_mapping_opensearch.csv b/docs/_static/params_mapping_opensearch.csv\nindex 562f7eec..dc598e7c 100644\n--- a/docs/_static/params_mapping_opensearch.csv\n+++ b/docs/_static/params_mapping_opensearch.csv\n@@ -1,56 +1,56 @@\n parameter,astraea_eod,aws_eos,creodias,earth_search,earth_search_cog,mundi,onda,peps,sobloo,theia,usgs,usgs_satapi_aws\r\n :abbr:`abstract ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Abstract. (String))`,metadata only,,metadata only,metadata only,metadata only,metadata only,,metadata only,,,,metadata only\r\n \":abbr:`accessConstraint ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations on obtaining the resource (String ))`\",,,metadata only,,,metadata only,,metadata only,,metadata only,,\r\n-acquisitionStation,metadata only,,,metadata only,metadata only,metadata only,,,,metadata only,,metadata only\r\n-acquisitionSubType,metadata only,,,metadata only,metadata only,metadata only,,,,metadata only,,metadata only\r\n+acquisitionStation,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,,,metadata only,,:green:`queryable metadata`\r\n+acquisitionSubType,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,,,metadata only,,:green:`queryable metadata`\r\n acquisitionType,,,,,,metadata only,,metadata only,,,,\r\n antennaLookDirection,,,,,,metadata only,,,,metadata only,,\r\n archivingCenter,,,,,,metadata only,,,,metadata only,,\r\n-availabilityTime,metadata only,,,metadata only,metadata only,metadata only,,,metadata only,metadata only,,metadata only\r\n+availabilityTime,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,,metadata only,metadata only,,:green:`queryable metadata`\r\n :abbr:`classification ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Name of the handling restrictions on the resource or metadata (String ))`,,,,,,metadata only,,,,,,\r\n-cloudCover,metadata only,,:green:`queryable metadata`,metadata only,metadata only,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only\r\n+cloudCover,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`\r\n completionTimeFromAscendingNode,:green:`queryable metadata`,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`\r\n :abbr:`compositeType ([OpenSearch Parameters for Collection Search] Type of composite product expressed as time period that the composite product covers (e.g. P10D for a 10 day composite) (String))`,,,,,,metadata only,,,,,,\r\n-creationDate,,,,,,metadata only,metadata only,metadata only,metadata only,metadata only,,\r\n+creationDate,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,metadata only,metadata only,metadata only,metadata only,,:green:`queryable metadata`\r\n \":abbr:`dissemination ([OpenSearch Parameters for Collection Search] A string identifying the dissemination method (e.g. EUMETCast, EUMETCast-Europe, DataCentre) (String))`\",,,,,,metadata only,,,,,,\r\n-:abbr:`doi ([OpenSearch Parameters for Collection Search] Digital Object Identifier identifying the product (see http://www.doi.org) (String))`,metadata only,,,metadata only,metadata only,metadata only,,,,,,metadata only\r\n-dopplerFrequency,metadata only,,,metadata only,metadata only,metadata only,,,,metadata only,,metadata only\r\n+:abbr:`doi ([OpenSearch Parameters for Collection Search] Digital Object Identifier identifying the product (see http://www.doi.org) (String))`,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,,,,,:green:`queryable metadata`\r\n+dopplerFrequency,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,,,metadata only,,:green:`queryable metadata`\r\n frame,,,,,,metadata only,,,,,,\r\n \":abbr:`hasSecurityConstraints ([OpenSearch Parameters for Collection Search] A string informing if the resource has any security constraints. Possible values: TRUE, FALSE (String))`\",,,,,,metadata only,,,,,,\r\n highestLocation,,,,,,metadata only,,,,,,\r\n-illuminationAzimuthAngle,metadata only,,,metadata only,metadata only,metadata only,,,,metadata only,,metadata only\r\n-illuminationElevationAngle,metadata only,,,metadata only,metadata only,metadata only,,,,metadata only,,metadata only\r\n+illuminationAzimuthAngle,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,,,metadata only,,:green:`queryable metadata`\r\n+illuminationElevationAngle,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,,,metadata only,,:green:`queryable metadata`\r\n illuminationZenithAngle,,,,,,metadata only,,,,metadata only,,\r\n incidenceAngleVariation,,,,,,metadata only,,,,metadata only,,\r\n-\":abbr:`instrument ([OpenSearch Parameters for Collection Search] A string identifying the instrument (e.g. MERIS, AATSR, ASAR, HRVIR. SAR). (String))`\",metadata only,,:green:`queryable metadata`,metadata only,metadata only,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,,metadata only\r\n+\":abbr:`instrument ([OpenSearch Parameters for Collection Search] A string identifying the instrument (e.g. MERIS, AATSR, ASAR, HRVIR. SAR). (String))`\",metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,,:green:`queryable metadata`\r\n :abbr:`keyword ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Commonly used word(s) or formalised word(s) or phrase(s) used to describe the subject. (String))`,,,metadata only,,,metadata only,,metadata only,,metadata only,,\r\n :abbr:`language ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Language of the intellectual content of the metadata record (String ))`,,,,,,metadata only,,,,,,\r\n :abbr:`lineage ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] General explanation of the data producer’s knowledge about the lineage of a dataset. (String))`,,,,,,metadata only,,,,,,\r\n lowestLocation,,,,,,metadata only,,,,,,\r\n maximumIncidenceAngle,,,,,,metadata only,,,,metadata only,,\r\n minimumIncidenceAngle,,,,,,metadata only,,,,metadata only,,\r\n-modificationDate,,,metadata only,,,metadata only,,metadata only,,metadata only,,\r\n-orbitDirection,metadata only,,:green:`queryable metadata`,metadata only,metadata only,metadata only,metadata only,:green:`queryable metadata`,metadata only,,,metadata only\r\n-orbitNumber,metadata only,,:green:`queryable metadata`,metadata only,metadata only,metadata only,metadata only,:green:`queryable metadata`,metadata only,metadata only,,metadata only\r\n+modificationDate,metadata only,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,metadata only,,metadata only,,:green:`queryable metadata`\r\n+orbitDirection,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,metadata only,:green:`queryable metadata`,metadata only,,,:green:`queryable metadata`\r\n+orbitNumber,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,metadata only,:green:`queryable metadata`,metadata only,metadata only,,:green:`queryable metadata`\r\n \":abbr:`orbitType ([OpenSearch Parameters for Collection Search] A string identifying the platform orbit type (e.g. LEO, GEO) (String))`\",,,,,,metadata only,,,,,,\r\n :abbr:`organisationName ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] A string identifying the name of the organization responsible for the resource (String))`,,,:green:`queryable metadata`,,,metadata only,,:green:`queryable metadata`,,metadata only,,\r\n :abbr:`organisationRole ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] The function performed by the responsible party (String ))`,,,,,,metadata only,,,,,,\r\n :abbr:`otherConstraint ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Other restrictions and legal prerequisites for accessing and using the resource or metadata. (String))`,,,,,,metadata only,,,,,,\r\n parentIdentifier,,,:green:`queryable metadata`,,,metadata only,,:green:`queryable metadata`,,metadata only,,\r\n-:abbr:`platform ([OpenSearch Parameters for Collection Search] A string with the platform short name (e.g. Sentinel-1) (String))`,metadata only,,metadata only,metadata only,metadata only,metadata only,:green:`queryable metadata`,metadata only,metadata only,:green:`queryable metadata`,,metadata only\r\n-:abbr:`platformSerialIdentifier ([OpenSearch Parameters for Collection Search] A string with the Platform serial identifier (String))`,metadata only,,:green:`queryable metadata`,metadata only,metadata only,metadata only,metadata only,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,,metadata only\r\n+:abbr:`platform ([OpenSearch Parameters for Collection Search] A string with the platform short name (e.g. Sentinel-1) (String))`,metadata only,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,metadata only,metadata only,:green:`queryable metadata`,,:green:`queryable metadata`\r\n+:abbr:`platformSerialIdentifier ([OpenSearch Parameters for Collection Search] A string with the Platform serial identifier (String))`,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,metadata only,metadata only,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,,:green:`queryable metadata`\r\n processingCenter,,,,,,metadata only,,metadata only,,,,\r\n processingDate,,,,,,metadata only,metadata only,,,metadata only,,\r\n-:abbr:`processingLevel ([OpenSearch Parameters for Collection Search] A string identifying the processing level applied to the entry (String))`,,,:green:`queryable metadata`,,,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,,\r\n+:abbr:`processingLevel ([OpenSearch Parameters for Collection Search] A string identifying the processing level applied to the entry (String))`,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,,:green:`queryable metadata`\r\n processingMode,,,,,,metadata only,,,,metadata only,,\r\n processorName,,,,,,metadata only,,metadata only,,,,\r\n productQualityDegradationTag,,,,,,metadata only,,,,,,\r\n productQualityStatus,,,,,,metadata only,metadata only,metadata only,,,,\r\n-\":abbr:`productType ([OpenSearch Parameters for Collection Search] A string identifying the entry type (e.g. ER02_SAR_IM__0P, MER_RR__1P, SM_SLC__1S, GES_DISC_AIRH3STD_V005) (String ))`\",:green:`queryable metadata`,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only\r\n-productVersion,,,,,,metadata only,metadata only,metadata only,,metadata only,,\r\n-:abbr:`publicationDate ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] The date when the resource was issued (Date time))`,,,metadata only,,,metadata only,,metadata only,metadata only,metadata only,,\r\n-resolution,metadata only,,:green:`queryable metadata`,metadata only,metadata only,metadata only,,:green:`queryable metadata`,,metadata only,,metadata only\r\n-sensorMode,metadata only,,:green:`queryable metadata`,metadata only,metadata only,metadata only,metadata only,:green:`queryable metadata`,metadata only,metadata only,,metadata only\r\n+\":abbr:`productType ([OpenSearch Parameters for Collection Search] A string identifying the entry type (e.g. ER02_SAR_IM__0P, MER_RR__1P, SM_SLC__1S, GES_DISC_AIRH3STD_V005) (String ))`\",:green:`queryable metadata`,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`\r\n+productVersion,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,metadata only,metadata only,,metadata only,,:green:`queryable metadata`\r\n+:abbr:`publicationDate ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] The date when the resource was issued (Date time))`,metadata only,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,metadata only,metadata only,metadata only,,:green:`queryable metadata`\r\n+resolution,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,,:green:`queryable metadata`,,metadata only,,:green:`queryable metadata`\r\n+sensorMode,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,metadata only,:green:`queryable metadata`,metadata only,metadata only,,:green:`queryable metadata`\r\n \":abbr:`sensorType ([OpenSearch Parameters for Collection Search] A string identifying the sensor type. Suggested values are: OPTICAL, RADAR, ALTIMETRIC, ATMOSPHERIC, LIMB (String))`\",,,,,,metadata only,,,,,,\r\n snowCover,,,:green:`queryable metadata`,,,metadata only,,:green:`queryable metadata`,,metadata only,,\r\n \":abbr:`spectralRange ([OpenSearch Parameters for Collection Search] A string identifying the sensor spectral range (e.g. INFRARED, NEAR-INFRARED, UV, VISIBLE) (String))`\",,,,,,metadata only,,,,,,\r\ndiff --git a/eodag/api/product/metadata_mapping.py b/eodag/api/product/metadata_mapping.py\nindex e4bfa1aa..7f05a177 100644\n--- a/eodag/api/product/metadata_mapping.py\n+++ b/eodag/api/product/metadata_mapping.py\n@@ -199,44 +199,6 @@ def format_metadata(search_param, *args, **kwargs):\n \"\"\"\n return int(1e3 * get_timestamp(date_time))\n \n- @staticmethod\n- def convert_to_rounded_wkt(value):\n- wkt_value = wkt.dumps(value, rounding_precision=COORDS_ROUNDING_PRECISION)\n- # If needed, simplify WKT to prevent too long request failure\n- tolerance = 0.1\n- while len(wkt_value) > WKT_MAX_LEN and tolerance <= 1:\n- logger.debug(\n- \"Geometry WKT is too long (%s), trying to simplify it with tolerance %s\",\n- len(wkt_value),\n- tolerance,\n- )\n- wkt_value = wkt.dumps(\n- value.simplify(tolerance),\n- rounding_precision=COORDS_ROUNDING_PRECISION,\n- )\n- tolerance += 0.1\n- if len(wkt_value) > WKT_MAX_LEN and tolerance > 1:\n- logger.warning(\"Failed to reduce WKT length lower than %s\", WKT_MAX_LEN)\n- return wkt_value\n-\n- @staticmethod\n- def convert_to_bounds_lists(input_geom):\n- if isinstance(input_geom, MultiPolygon):\n- geoms = [geom for geom in input_geom]\n- # sort with larger one at first (stac-browser only plots first one)\n- geoms.sort(key=lambda x: x.area, reverse=True)\n- return [list(x.bounds[0:4]) for x in geoms]\n- else:\n- return [list(input_geom.bounds[0:4])]\n-\n- @staticmethod\n- def convert_to_geo_interface(geom):\n- return geojson.dumps(geom.__geo_interface__)\n-\n- @staticmethod\n- def convert_csv_list(values_list):\n- return \",\".join([str(x) for x in values_list])\n-\n @staticmethod\n def convert_to_iso_utc_datetime_from_milliseconds(timestamp):\n \"\"\"Convert a timestamp in milliseconds (int) to its ISO8601 UTC format\n@@ -281,6 +243,44 @@ def format_metadata(search_param, *args, **kwargs):\n dt = dt.astimezone(UTC)\n return dt.isoformat()[:10]\n \n+ @staticmethod\n+ def convert_to_rounded_wkt(value):\n+ wkt_value = wkt.dumps(value, rounding_precision=COORDS_ROUNDING_PRECISION)\n+ # If needed, simplify WKT to prevent too long request failure\n+ tolerance = 0.1\n+ while len(wkt_value) > WKT_MAX_LEN and tolerance <= 1:\n+ logger.debug(\n+ \"Geometry WKT is too long (%s), trying to simplify it with tolerance %s\",\n+ len(wkt_value),\n+ tolerance,\n+ )\n+ wkt_value = wkt.dumps(\n+ value.simplify(tolerance),\n+ rounding_precision=COORDS_ROUNDING_PRECISION,\n+ )\n+ tolerance += 0.1\n+ if len(wkt_value) > WKT_MAX_LEN and tolerance > 1:\n+ logger.warning(\"Failed to reduce WKT length lower than %s\", WKT_MAX_LEN)\n+ return wkt_value\n+\n+ @staticmethod\n+ def convert_to_bounds_lists(input_geom):\n+ if isinstance(input_geom, MultiPolygon):\n+ geoms = [geom for geom in input_geom]\n+ # sort with larger one at first (stac-browser only plots first one)\n+ geoms.sort(key=lambda x: x.area, reverse=True)\n+ return [list(x.bounds[0:4]) for x in geoms]\n+ else:\n+ return [list(input_geom.bounds[0:4])]\n+\n+ @staticmethod\n+ def convert_to_geo_interface(geom):\n+ return geojson.dumps(geom.__geo_interface__)\n+\n+ @staticmethod\n+ def convert_csv_list(values_list):\n+ return \",\".join([str(x) for x in values_list])\n+\n @staticmethod\n def convert_remove_extension(string):\n parts = string.split(\".\")\n@@ -365,6 +365,13 @@ def format_metadata(search_param, *args, **kwargs):\n logger.error(\"Could not extract title infos from %s\" % string)\n return NOT_AVAILABLE\n \n+ # if stac extension colon separator `:` is in search search params, parse it to prevent issues with vformat\n+ if re.search(r\"{[a-zA-Z0-9_-]*:[a-zA-Z0-9_-]*}\", search_param):\n+ search_param = re.sub(\n+ r\"{([a-zA-Z0-9_-]*):([a-zA-Z0-9_-]*)}\", r\"{\\1_COLON_\\2}\", search_param\n+ )\n+ kwargs = {k.replace(\":\", \"_COLON_\"): v for k, v in kwargs.items()}\n+\n return MetadataFormatter().vformat(search_param, args, kwargs)\n \n \ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex d1e1181a..c62a2efc 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1489,6 +1489,35 @@\n # This provider doesn't implement any pagination, let's just try to get the maximum number of\n # products available at once then, so we stick to 10_000.\n max_items_per_page: 10_000\n+ metadata_mapping:\n+ # redefine the following mapppings as the provider does not support advanced queries/filtering,\n+ # these parameters will not be queryable\n+ doi: '$.properties.\"sci:doi\"'\n+ processingLevel: '$.properties.\"processing:level\"'\n+ platform: '$.properties.constellation'\n+ platformSerialIdentifier: '$.properties.platform'\n+ instrument: '$.properties.instruments'\n+ # INSPIRE obligated OpenSearch Parameters for Collection Search (Table 4)\n+ title: '$.id'\n+ abstract: '$.properties.description'\n+ resolution: '$.properties.gsd'\n+ publicationDate: '$.properties.published'\n+ # OpenSearch Parameters for Product Search (Table 5)\n+ orbitNumber: '$.properties.\"sat:relative_orbit\"'\n+ orbitDirection: '$.properties.\"sat:orbit_state\"'\n+ cloudCover: '$.properties.\"eo:cloud_cover\"'\n+ sensorMode: '$.properties.\"sar:instrument_mode\"'\n+ creationDate: '$.properties.created'\n+ modificationDate: '$.properties.updated'\n+ productVersion: '$.properties.version'\n+ # OpenSearch Parameters for Acquistion Parameters Search (Table 6)\n+ availabilityTime: '$.properties.availabilityTime'\n+ acquisitionStation: '$.properties.acquisitionStation'\n+ acquisitionSubType: '$.properties.acquisitionSubType'\n+ illuminationAzimuthAngle: '$.properties.\"view:sun_azimuth\"'\n+ illuminationElevationAngle: '$.properties.\"view:sun_elevation\"'\n+ polarizationChannels: '$.properties.\"sar:polarizations\"'\n+ dopplerFrequency: '$.properties.\"sar:frequency_band\"'\n products:\n S1_SAR_GRD:\n productType: sentinel1_l1c_grd\n@@ -1564,39 +1593,43 @@\n roles:\n - host\n description: USGS Landsatlook SAT API\n- url: https://landsatlook.usgs.gov/sat-api/\n+ url: https://landsatlook.usgs.gov/stac-server\n search: !plugin\n type: StacSearch\n- api_endpoint: https://landsatlook.usgs.gov/sat-api/collections/{collection}/items\n+ api_endpoint: https://landsatlook.usgs.gov/stac-server/search\n pagination:\n- total_items_nb_key_path: '$.meta.found'\n # 2021/03/19: no more than 10_000 (if greater, returns a 500 error code)\n # but in practive if an Internal Server Error is returned for more than\n # about 500 products.\n max_items_per_page: 500\n metadata_mapping:\n- productType: '$.collection'\n+ cloudCover:\n+ - '{{\"query\":{{\"eo:cloud_cover\":{{\"lte\":{cloudCover}}}}}}}'\n+ - '$.properties.\"eo:cloud_cover\"'\n+ platformSerialIdentifier:\n+ - '{{\"query\":{{\"platform\":{{\"eq\":\"{platformSerialIdentifier}\"}}}}}}'\n+ - '$.properties.platform'\n assets: '{$.assets#recursive_sub_str(r\"https?(.*)landsatlook.usgs.gov/data/\",r\"s3\\1usgs-landsat/\")}'\n products:\n LANDSAT_C2L1:\n- collection: landsat-c2l1\n+ productType: landsat-c2l1\n LANDSAT_C2L2_SR:\n- collection: landsat-c2l2-sr\n+ productType: landsat-c2l2-sr\n LANDSAT_C2L2_ST:\n- collection: landsat-c2l2-st\n+ productType: landsat-c2l2-st\n LANDSAT_C2L2ALB_BT:\n- collection: landsat-c2l2alb-bt\n+ productType: landsat-c2l2alb-bt\n LANDSAT_C2L2ALB_SR:\n- collection: landsat-c2l2alb-sr\n+ productType: landsat-c2l2alb-sr\n LANDSAT_C2L2ALB_ST:\n- collection: landsat-c2l2alb-st\n+ productType: landsat-c2l2alb-st\n LANDSAT_C2L2ALB_TA:\n- collection: landsat-c2l2alb-ta\n+ productType: landsat-c2l2alb-ta\n GENERIC_PRODUCT_TYPE:\n- collection: '{productType}'\n+ productType: '{productType}'\n download: !plugin\n type: AwsDownload\n- base_uri: https://landsatlook.usgs.gov/sat-api/\n+ base_uri: https://landsatlook.usgs.gov/stac-server\n flatten_top_dirs: True\n auth: !plugin\n type: AwsAuth\ndiff --git a/eodag/resources/stac_provider.yml b/eodag/resources/stac_provider.yml\nindex 8121a70a..1708438c 100644\n--- a/eodag/resources/stac_provider.yml\n+++ b/eodag/resources/stac_provider.yml\n@@ -26,7 +26,7 @@ search:\n discover_metadata:\n auto_discovery: true\n metadata_pattern: '^[a-zA-Z0-9_:-]+$'\n- search_param: '{{\"{metadata}\"=\"{{{metadata}}}\"}}'\n+ search_param: '{{{{\"query\":{{{{\"{metadata}\":{{{{\"eq\":\"{{{metadata}}}\" }}}} }}}} }}}}'\n metadata_path: '$.properties.*'\n metadata_mapping:\n # OpenSearch Parameters for Collection Search (Table 3)\n@@ -34,76 +34,77 @@ search:\n - '{{\"collections\":[\"{productType}\"]}}'\n - '$.collection'\n doi:\n- - 'sci:doi'\n+ - '{{\"query\":{{\"sci:doi\":{{\"eq\":\"{doi}\"}}}}}}'\n - '$.properties.\"sci:doi\"'\n processingLevel:\n- - 'processing:level'\n+ - '{{\"query\":{{\"processing:level\":{{\"eq\":\"{processingLevel}\"}}}}}}'\n - '$.properties.\"processing:level\"'\n platform:\n- - 'constellation'\n+ - '{{\"query\":{{\"constellation\":{{\"eq\":\"{platform}\"}}}}}}'\n - '$.properties.constellation'\n platformSerialIdentifier:\n- - 'platform'\n+ - '{{\"query\":{{\"platform\":{{\"eq\":\"{platformSerialIdentifier}\"}}}}}}'\n - '$.properties.platform'\n instrument:\n- - 'instruments'\n+ # to test\n+ - '{{\"query\":{{\"instruments\":{{\"eq\":\"{instrument}\"}}}}}}'\n - '$.properties.instruments'\n # INSPIRE obligated OpenSearch Parameters for Collection Search (Table 4)\n title: '$.id'\n abstract: '$.properties.description'\n resolution:\n- - 'gsd'\n+ - '{{\"query\":{{\"gsd\":{{\"eq\":\"{resolution}\"}}}}}}'\n - '$.properties.gsd'\n publicationDate:\n- - 'published'\n+ - '{{\"query\":{{\"published\":{{\"eq\":\"{publicationDate}\"}}}}}}'\n - '$.properties.published'\n # OpenSearch Parameters for Product Search (Table 5)\n orbitNumber:\n- - 'sat:relative_orbit'\n+ - '{{\"query\":{{\"sat:relative_orbit\":{{\"eq\":\"{orbitNumber}\"}}}}}}'\n - '$.properties.\"sat:relative_orbit\"'\n orbitDirection:\n- - 'sat:orbit_state'\n+ - '{{\"query\":{{\"sat:orbit_state\":{{\"eq\":\"{orbitDirection}\"}}}}}}'\n - '$.properties.\"sat:orbit_state\"'\n cloudCover:\n- - 'eo:cloud_cover'\n+ - '{{\"query\":{{\"eo:cloud_cover\":{{\"lte\":\"{cloudCover}\"}}}}}}'\n - '$.properties.\"eo:cloud_cover\"'\n sensorMode:\n- - 'sar:instrument_mode'\n+ - '{{\"query\":{{\"sar:instrument_mode\":{{\"eq\":\"{sensorMode}\"}}}}}}'\n - '$.properties.\"sar:instrument_mode\"'\n creationDate:\n- - 'created'\n+ - '{{\"query\":{{\"created\":{{\"eq\":\"{creationDate}\"}}}}}}'\n - '$.properties.created'\n modificationDate:\n- - 'updated'\n+ - '{{\"query\":{{\"updated\":{{\"eq\":\"{modificationDate}\"}}}}}}'\n - '$.properties.updated'\n productVersion:\n- - 'version'\n+ - '{{\"query\":{{\"version\":{{\"eq\":\"{productVersion}\"}}}}}}'\n - '$.properties.version'\n # OpenSearch Parameters for Acquistion Parameters Search (Table 6)\n availabilityTime:\n- - 'availabilityTime'\n+ - '{{\"query\":{{\"availabilityTime\":{{\"eq\":\"{availabilityTime}\"}}}}}}'\n - '$.properties.availabilityTime'\n acquisitionStation:\n- - 'acquisitionStation'\n+ - '{{\"query\":{{\"acquisitionStation\":{{\"eq\":\"{acquisitionStation}\"}}}}}}'\n - '$.properties.acquisitionStation'\n acquisitionSubType:\n- - 'acquisitionSubType'\n+ - '{{\"query\":{{\"acquisitionSubType\":{{\"eq\":\"{acquisitionSubType}\"}}}}}}'\n - '$.properties.acquisitionSubType'\n startTimeFromAscendingNode: '$.properties.datetime'\n completionTimeFromAscendingNode:\n - '{{\"datetime\":\"{startTimeFromAscendingNode#to_iso_utc_datetime}/{completionTimeFromAscendingNode#to_iso_utc_datetime}\"}}'\n - '$.properties.end_datetime'\n illuminationAzimuthAngle:\n- - 'view:sun_azimuth'\n+ - '{{\"query\":{{\"view:sun_azimuth\":{{\"eq\":\"{illuminationAzimuthAngle}\"}}}}}}'\n - '$.properties.\"view:sun_azimuth\"'\n illuminationElevationAngle:\n- - 'view:sun_elevation'\n+ - '{{\"query\":{{\"view:sun_elevation\":{{\"eq\":\"{illuminationElevationAngle}\"}}}}}}'\n - '$.properties.\"view:sun_elevation\"'\n polarizationChannels:\n- - 'sar:polarizations'\n+ - '{{\"query\":{{\"sar:polarizations\":{{\"eq\":\"{polarizationChannels}\"}}}}}}'\n - '$.properties.\"sar:polarizations\"'\n dopplerFrequency:\n- - 'sar:frequency_band'\n+ - '{{\"query\":{{\"sar:frequency_band\":{{\"eq\":\"{dopplerFrequency}\"}}}}}}'\n - '$.properties.\"sar:frequency_band\"'\n # Custom parameters (not defined in the base document referenced above)\n id:\n@@ -116,8 +117,6 @@ search:\n quicklook: '$.assets.quicklook.href'\n thumbnail: '$.assets.thumbnail.href'\n # storageStatus set to ONLINE for consistency between providers\n- storageStatus:\n- - 'storageStatus'\n- - '{$.null#replace_str(\"Not Available\",\"ONLINE\")}'\n+ storageStatus: '{$.null#replace_str(\"Not Available\",\"ONLINE\")}'\n # Normalization code moves assets from properties to product's attr\n assets: '$.assets'\n"},"problem_statement":{"kind":"string","value":"implement STAC API Query fragment\nFor STAC providers, STAC API Item Search has limited filtering capabilities (`collections`, `ids`, `bbox` / `intersects`, `datetime`).\r\n\r\nHowever, it does not contain a formalized way to filter based on arbitrary fields in an Item. For example, there is no way to express the filter *\"`item.properties.eo:cloud_cover` is less than 10\"*\r\n\r\nThis can be improved using properties filtering provided by the [STAC API - Query Fragment](https://github.com/radiantearth/stac-api-spec/blob/master/fragments/query/README.md)\r\n\r\n*Note that it is planned to be deprecated in favor of [STAC API - Filter Fragment](https://github.com/radiantearth/stac-api-spec/blob/master/fragments/filter/README.md), providing CQL filtering. But for the moment, available STAC API provider do not support it.*"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_metadata_mapping.py b/tests/units/test_metadata_mapping.py\nindex e510ed38..fc19611f 100644\n--- a/tests/units/test_metadata_mapping.py\n+++ b/tests/units/test_metadata_mapping.py\n@@ -17,7 +17,7 @@\n # limitations under the License.\n import unittest\n \n-from tests.context import format_metadata\n+from tests.context import format_metadata, get_geometry_from_various\n \n \n class TestMetadataFormatter(unittest.TestCase):\n@@ -39,6 +39,17 @@ class TestMetadataFormatter(unittest.TestCase):\n \"1618956000000\",\n )\n \n+ def test_convert_to_iso_utc_datetime_from_milliseconds(self):\n+ to_format = \"{fieldname#to_iso_utc_datetime_from_milliseconds}\"\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=1619029639123),\n+ \"2021-04-21T18:27:19.123Z\",\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=1618963200000),\n+ \"2021-04-21T00:00:00.000Z\",\n+ )\n+\n def test_convert_to_iso_utc_datetime(self):\n to_format = \"{fieldname#to_iso_utc_datetime}\"\n self.assertEqual(\n@@ -76,13 +87,111 @@ class TestMetadataFormatter(unittest.TestCase):\n \"2021-04-20\",\n )\n \n- def test_convert_to_iso_utc_datetime_from_milliseconds(self):\n- to_format = \"{fieldname#to_iso_utc_datetime_from_milliseconds}\"\n+ def test_convert_to_rounded_wkt(self):\n+ to_format = \"{fieldname#to_rounded_wkt}\"\n+ geom = get_geometry_from_various(geometry=\"POINT (0.11111 1.22222222)\")\n self.assertEqual(\n- format_metadata(to_format, fieldname=1619029639123),\n- \"2021-04-21T18:27:19.123Z\",\n+ format_metadata(to_format, fieldname=geom),\n+ \"POINT (0.1111 1.2222)\",\n+ )\n+\n+ def test_convert_to_bounds_lists(self):\n+ to_format = \"{fieldname#to_bounds_lists}\"\n+ geom = get_geometry_from_various(\n+ geometry=\"\"\"MULTIPOLYGON (\n+ ((1.23 43.42, 1.23 43.76, 1.68 43.76, 1.68 43.42, 1.23 43.42)),\n+ ((2.23 43.42, 2.23 43.76, 3.68 43.76, 3.68 43.42, 2.23 43.42))\n+ )\"\"\"\n )\n self.assertEqual(\n- format_metadata(to_format, fieldname=1618963200000),\n- \"2021-04-21T00:00:00.000Z\",\n+ format_metadata(to_format, fieldname=geom),\n+ \"[[2.23, 43.42, 3.68, 43.76], [1.23, 43.42, 1.68, 43.76]]\",\n+ )\n+\n+ def test_convert_to_geo_interface(self):\n+ to_format = \"{fieldname#to_geo_interface}\"\n+ geom = get_geometry_from_various(geometry=\"POINT (0.11 1.22)\")\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=geom),\n+ '{\"type\": \"Point\", \"coordinates\": [0.11, 1.22]}',\n+ )\n+\n+ def test_convert_csv_list(self):\n+ to_format = \"{fieldname#csv_list}\"\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=[1, 2, 3]),\n+ \"1,2,3\",\n+ )\n+\n+ def test_convert_remove_extension(self):\n+ to_format = \"{fieldname#remove_extension}\"\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"foo.bar\"),\n+ \"foo\",\n+ )\n+\n+ def test_convert_get_group_name(self):\n+ to_format = (\n+ \"{fieldname#get_group_name((?P<this_is_foo>foo)|(?P<that_is_bar>bar))}\"\n+ )\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"foo\"),\n+ \"this_is_foo\",\n+ )\n+\n+ def test_convert_replace_str(self):\n+ to_format = r\"{fieldname#replace_str(r'(.*) is (.*)',r'\\1 was \\2...')}\"\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"this is foo\"),\n+ \"this was foo...\",\n+ )\n+\n+ def test_convert_recursive_sub_str(self):\n+ to_format = r\"{fieldname#recursive_sub_str(r'(.*) is (.*)',r'\\1 was \\2...')}\"\n+ self.assertEqual(\n+ format_metadata(\n+ to_format, fieldname=[{\"a\": \"this is foo\", \"b\": [{\"c\": \"that is bar\"}]}]\n+ ),\n+ \"[{'a': 'this was foo...', 'b': [{'c': 'that was bar...'}]}]\",\n+ )\n+\n+ def test_convert_dict_update(self):\n+ to_format = '{fieldname#dict_update([[\"b\",[[\"href\",\"bar\"],[\"title\",\"baz\"]]]])}'\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname={\"a\": {\"title\": \"foo\"}}),\n+ \"{'a': {'title': 'foo'}, 'b': {'href': 'bar', 'title': 'baz'}}\",\n+ )\n+\n+ def test_convert_slice_str(self):\n+ to_format = \"{fieldname#slice_str(1,12,2)}\"\n+ self.assertEqual(\n+ format_metadata(to_format, fieldname=\"abcdefghijklmnop\"),\n+ \"bdfhjl\",\n+ )\n+\n+ def test_convert_fake_l2a_title_from_l1c(self):\n+ to_format = \"{fieldname#fake_l2a_title_from_l1c}\"\n+ self.assertEqual(\n+ format_metadata(\n+ to_format,\n+ fieldname=\"S2B_MSIL1C_20210427T103619_N0300_R008_T31TCJ_20210427T124539\",\n+ ),\n+ \"S2B_MSIL2A_20210427T103619____________T31TCJ________________\",\n+ )\n+\n+ def test_convert_s2msil2a_title_to_aws_productinfo(self):\n+ to_format = \"{fieldname#s2msil2a_title_to_aws_productinfo}\"\n+ self.assertEqual(\n+ format_metadata(\n+ to_format,\n+ fieldname=\"S2A_MSIL2A_20201201T100401_N0214_R122_T32SNA_20201201T114520\",\n+ ),\n+ \"https://roda.sentinel-hub.com/sentinel-s2-l2a/tiles/32/S/NA/2020/12/1/0/{collection}.json\",\n+ )\n+\n+ def test_format_stac_extension_parameter(self):\n+ to_format = \"{some_extension:a_parameter}\"\n+ self.assertEqual(\n+ format_metadata(to_format, **{\"some_extension:a_parameter\": \"value\"}),\n+ \"value\",\n )\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 2,\n \"test_score\": 0\n },\n \"num_modified_files\": 5\n}"},"version":{"kind":"string","value":"2.3"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"nose\",\n \"nose-cov\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc make pandoc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncov-core==1.15.0\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@3963758fc5fda86da4799a26eb64fbc610c444da#egg=eodag\nexceptiongroup==1.2.2\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnose-cov==1.6\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - cov-core==1.15.0\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - exceptiongroup==1.2.2\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - nose==1.3.7\n - nose-cov==1.6\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_format_stac_extension_parameter"],"string":"[\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_format_stac_extension_parameter\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_bounds_lists"],"string":"[\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_bounds_lists\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_csv_list","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_datetime_to_timestamp_milliseconds","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_dict_update","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_fake_l2a_title_from_l1c","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_get_group_name","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_recursive_sub_str","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_remove_extension","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_replace_str","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_s2msil2a_title_to_aws_productinfo","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_slice_str","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_geo_interface","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_date","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime_from_milliseconds","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_rounded_wkt"],"string":"[\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_csv_list\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_datetime_to_timestamp_milliseconds\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_dict_update\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_fake_l2a_title_from_l1c\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_get_group_name\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_recursive_sub_str\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_remove_extension\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_replace_str\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_s2msil2a_title_to_aws_productinfo\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_slice_str\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_geo_interface\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_date\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime_from_milliseconds\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_rounded_wkt\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":459,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-380"},"base_commit":{"kind":"string","value":"6e6e6890a52ac8ad4d0f989f41a726b35d9cf5d8"},"created_at":{"kind":"string","value":"2021-12-22 16:01:32"},"environment_setup_commit":{"kind":"string","value":"d9f16f411fdf5eb6ad752f984782dd06ed882dc8"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 0ce2f7fe..7d5d039b 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -17,6 +17,7 @@\n # limitations under the License.\n import logging\n import os\n+import re\n import shutil\n from operator import itemgetter\n \n@@ -1055,6 +1056,31 @@ class EODataAccessGateway(object):\n # be returned as a search result if there was no search extent (because we\n # will not try to do an intersection)\n for eo_product in res:\n+ # if product_type is not defined, try to guess using properties\n+ if eo_product.product_type is None:\n+ pattern = re.compile(r\"[^\\w,]+\")\n+ try:\n+ guesses = self.guess_product_type(\n+ **{\n+ # k:str(v) for k,v in eo_product.properties.items()\n+ k: pattern.sub(\"\", str(v).upper())\n+ for k, v in eo_product.properties.items()\n+ if k\n+ in [\n+ \"instrument\",\n+ \"platform\",\n+ \"platformSerialIdentifier\",\n+ \"processingLevel\",\n+ \"sensorType\",\n+ \"keywords\",\n+ ]\n+ and v is not None\n+ }\n+ )\n+ except NoMatchingProductType:\n+ pass\n+ else:\n+ eo_product.product_type = guesses[0]\n if eo_product.search_intersection is not None:\n download_plugin = self._plugins_manager.get_download_plugin(\n eo_product\n"},"problem_statement":{"kind":"string","value":"prevent mixed results between earth_search and earth_search_cog\nSee #362 .\r\n\r\n@GriffinBabe pointed out that if we omit to specify the product type when searching on `earth_search_cog`, we get also results from `earth_search` that cannot be downloaded with the wrong download plugin:\r\n```py\r\nfrom eodag import EODataAccessGateway\r\n\r\ndag = EODataAccessGateway()\r\ndag.set_preferred_provider(\"earth_search_cog\")\r\n\r\n# Here I forget to specify which productType I am looking for\r\ncog_products, _ = dag.search()\r\npath = dag.download(cog_products[0])\r\n```\r\nRaises\r\n```\r\nrequests.exceptions.InvalidSchema: No connection adapters were found for 's3://sentinel-s2-l2a/tiles/42/F/UK/2021/11/23/0/qi/L2A_PVI.jp2'\r\n```\r\nTo prevent this, we'd have to:\r\n\r\n- [ ] only accept `S2_MSI_L2A_COG` product type with `earth_search_cog`\r\n- [ ] filter out `S2_MSI_L2A_COG` product type with `earth_search`\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/integration/test_search_stac_static.py b/tests/integration/test_search_stac_static.py\nindex ee3483b0..71a31b4c 100644\n--- a/tests/integration/test_search_stac_static.py\n+++ b/tests/integration/test_search_stac_static.py\n@@ -83,8 +83,8 @@ class TestSearchStacStatic(unittest.TestCase):\n self.assertIsInstance(items, SearchResult)\n self.assertEqual(len(items), self.child_cat_len)\n self.assertEqual(items[0].provider, self.stac_provider)\n- # if no product_type is provided, product_type is None\n- self.assertIsNone(items[0].product_type)\n+ # if no product_type is provided, product_type should be guessed from properties\n+ self.assertEqual(items[0].product_type, \"S2_MSI_L1C\")\n \n def test_search_stac_static_load_root_not_recursive(self):\n \"\"\"load_stac_items from root must provide an empty list when no recursive\"\"\"\n@@ -120,8 +120,8 @@ class TestSearchStacStatic(unittest.TestCase):\n self.assertIsInstance(item, SearchResult)\n self.assertEqual(len(item), 1)\n self.assertEqual(item[0].provider, self.stac_provider)\n- # if no product_type is provided, product_type is None\n- self.assertIsNone(item[0].product_type)\n+ # if no product_type is provided, product_type should be guessed from properties\n+ self.assertEqual(item[0].product_type, \"S2_MSI_L1C\")\n \n def test_search_stac_static_load_item_updated_provider(self):\n \"\"\"load_stac_items from a single item using updated provider\"\"\"\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [],\n \"has_test_patch\": true,\n \"is_lite\": true,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 1,\n \"test_score\": 1\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.3"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y make pandoc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@6e6e6890a52ac8ad4d0f989f41a726b35d9cf5d8#egg=eodag\nexceptiongroup==1.2.2\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.1\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - exceptiongroup==1.2.2\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - nose==1.3.7\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.1\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_child","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_item"],"string":"[\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_child\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_item\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_cloudcover","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_date","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_geom","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_property","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_crunch_filter_date","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_crunch_filter_lastest_by_name","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_crunch_filter_overlap","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_crunch_filter_property","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_item_updated_provider","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_root_not_recursive","tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_root_recursive"],"string":"[\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_cloudcover\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_date\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_geom\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_property\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_crunch_filter_date\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_crunch_filter_lastest_by_name\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_crunch_filter_overlap\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_crunch_filter_property\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_item_updated_provider\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_root_not_recursive\",\n \"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_root_recursive\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-380"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-380"}}},{"rowIdx":460,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-381"},"base_commit":{"kind":"string","value":"df05c353836883546e47db4057123ac501e003c6"},"created_at":{"kind":"string","value":"2021-12-22 16:19:59"},"environment_setup_commit":{"kind":"string","value":"d9f16f411fdf5eb6ad752f984782dd06ed882dc8"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/docs/api_reference/utils.rst b/docs/api_reference/utils.rst\nindex dec68622..315bf26f 100644\n--- a/docs/api_reference/utils.rst\n+++ b/docs/api_reference/utils.rst\n@@ -10,9 +10,10 @@ Logging\n .. automodule:: eodag.utils.logging\n :members:\n \n-Progress callback\n+Callbacks\n -----------------\n \n+.. autofunction:: eodag.utils.DownloadedCallback\n .. autofunction:: eodag.utils.ProgressCallback\n \n Notebook\ndiff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 7d5d039b..e4f03232 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -1172,6 +1172,7 @@ class EODataAccessGateway(object):\n def download_all(\n self,\n search_result,\n+ downloaded_callback=None,\n progress_callback=None,\n wait=DEFAULT_DOWNLOAD_WAIT,\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n@@ -1181,6 +1182,13 @@ class EODataAccessGateway(object):\n \n :param search_result: A collection of EO products resulting from a search\n :type search_result: :class:`~eodag.api.search_result.SearchResult`\n+ :param downloaded_callback: (optional) A method or a callable object which takes\n+ as parameter the ``product``. You can use the base class\n+ :class:`~eodag.utils.DownloadedCallback` and override\n+ its ``__call__`` method. Will be called each time a product\n+ finishes downloading\n+ :type downloaded_callback: Callable[[:class:`~eodag.api.product._product.EOProduct`], None]\n+ or None\n :param progress_callback: (optional) A method or a callable object\n which takes a current size and a maximum\n size as inputs and handle progress bar\n@@ -1211,6 +1219,7 @@ class EODataAccessGateway(object):\n )\n paths = download_plugin.download_all(\n search_result,\n+ downloaded_callback=downloaded_callback,\n progress_callback=progress_callback,\n wait=wait,\n timeout=timeout,\ndiff --git a/eodag/plugins/apis/base.py b/eodag/plugins/apis/base.py\nindex 051a26d7..d49661e2 100644\n--- a/eodag/plugins/apis/base.py\n+++ b/eodag/plugins/apis/base.py\n@@ -78,6 +78,8 @@ class Api(PluginTopic):\n \n :param product: The EO product to download\n :type product: :class:`~eodag.api.product._product.EOProduct`\n+ :param auth: (optional) The configuration of a plugin of type Authentication\n+ :type auth: :class:`~eodag.config.PluginConfig`\n :param progress_callback: (optional) A progress callback\n :type progress_callback: :class:`~eodag.utils.ProgressCallback`\n :param wait: (optional) If download fails, wait time in minutes between two download tries\n@@ -103,6 +105,7 @@ class Api(PluginTopic):\n self,\n products,\n auth=None,\n+ downloaded_callback=None,\n progress_callback=None,\n wait=DEFAULT_DOWNLOAD_WAIT,\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n@@ -113,6 +116,15 @@ class Api(PluginTopic):\n \n :param products: Products to download\n :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param auth: (optional) The configuration of a plugin of type Authentication\n+ :type auth: :class:`~eodag.config.PluginConfig`\n+ :param downloaded_callback: (optional) A method or a callable object which takes\n+ as parameter the ``product``. You can use the base class\n+ :class:`~eodag.utils.DownloadedCallback` and override\n+ its ``__call__`` method. Will be called each time a product\n+ finishes downloading\n+ :type downloaded_callback: Callable[[:class:`~eodag.api.product._product.EOProduct`], None]\n+ or None\n :param progress_callback: (optional) A progress callback\n :type progress_callback: :class:`~eodag.utils.ProgressCallback`\n :param wait: (optional) If download fails, wait time in minutes between two download tries\ndiff --git a/eodag/plugins/apis/usgs.py b/eodag/plugins/apis/usgs.py\nindex bcc06c64..39804a91 100644\n--- a/eodag/plugins/apis/usgs.py\n+++ b/eodag/plugins/apis/usgs.py\n@@ -276,6 +276,7 @@ class UsgsApi(Download, Api):\n self,\n products,\n auth=None,\n+ downloaded_callback=None,\n progress_callback=None,\n wait=DEFAULT_DOWNLOAD_WAIT,\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n@@ -287,6 +288,7 @@ class UsgsApi(Download, Api):\n return super(UsgsApi, self).download_all(\n products,\n auth=auth,\n+ downloaded_callback=downloaded_callback,\n progress_callback=progress_callback,\n wait=wait,\n timeout=timeout,\ndiff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex 0a8e2632..3202c76a 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -862,10 +862,21 @@ class AwsDownload(Download):\n logger.debug(\"Downloading %s to %s\" % (chunk.key, product_path))\n return product_path\n \n- def download_all(self, products, auth=None, progress_callback=None, **kwargs):\n+ def download_all(\n+ self,\n+ products,\n+ auth=None,\n+ downloaded_callback=None,\n+ progress_callback=None,\n+ **kwargs\n+ ):\n \"\"\"\n download_all using parent (base plugin) method\n \"\"\"\n return super(AwsDownload, self).download_all(\n- products, auth=auth, progress_callback=progress_callback, **kwargs\n+ products,\n+ auth=auth,\n+ downloaded_callback=downloaded_callback,\n+ progress_callback=progress_callback,\n+ **kwargs\n )\ndiff --git a/eodag/plugins/download/base.py b/eodag/plugins/download/base.py\nindex 16b181f3..99fef16c 100644\n--- a/eodag/plugins/download/base.py\n+++ b/eodag/plugins/download/base.py\n@@ -370,6 +370,7 @@ class Download(PluginTopic):\n self,\n products,\n auth=None,\n+ downloaded_callback=None,\n progress_callback=None,\n wait=DEFAULT_DOWNLOAD_WAIT,\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n@@ -383,6 +384,15 @@ class Download(PluginTopic):\n \n :param products: Products to download\n :type products: :class:`~eodag.api.search_result.SearchResult`\n+ :param auth: (optional) The configuration of a plugin of type Authentication\n+ :type auth: :class:`~eodag.config.PluginConfig`\n+ :param downloaded_callback: (optional) A method or a callable object which takes\n+ as parameter the ``product``. You can use the base class\n+ :class:`~eodag.utils.DownloadedCallback` and override\n+ its ``__call__`` method. Will be called each time a product\n+ finishes downloading\n+ :type downloaded_callback: Callable[[:class:`~eodag.api.product._product.EOProduct`], None]\n+ or None\n :param progress_callback: (optional) A progress callback\n :type progress_callback: :class:`~eodag.utils.ProgressCallback`\n :param wait: (optional) If download fails, wait time in minutes between two download tries\n@@ -448,6 +458,9 @@ class Download(PluginTopic):\n )\n )\n \n+ if downloaded_callback:\n+ downloaded_callback(product)\n+\n # product downloaded, to not retry it\n products.remove(product)\n bar(1)\ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex c73fcb3c..0fdcd732 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -416,6 +416,7 @@ class HTTPDownload(Download):\n self,\n products,\n auth=None,\n+ downloaded_callback=None,\n progress_callback=None,\n wait=DEFAULT_DOWNLOAD_WAIT,\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n@@ -427,6 +428,7 @@ class HTTPDownload(Download):\n return super(HTTPDownload, self).download_all(\n products,\n auth=auth,\n+ downloaded_callback=downloaded_callback,\n progress_callback=progress_callback,\n wait=wait,\n timeout=timeout,\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 90ccf43c..03ac665d 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -400,6 +400,18 @@ def get_timestamp(date_time):\n return dt.timestamp()\n \n \n+class DownloadedCallback:\n+ \"\"\"Example class for callback after each download in :meth:`~eodag.api.core.EODataAccessGateway.download_all`\"\"\"\n+\n+ def __call__(self, product):\n+ \"\"\"Callback\n+\n+ :param product: The downloaded EO product\n+ :type product: :class:`~eodag.api.product._product.EOProduct`\n+ \"\"\"\n+ logger.debug(\"Download finished for the product %s\", product)\n+\n+\n class ProgressCallback(tqdm):\n \"\"\"A callable used to render progress to users for long running processes.\n \n"},"problem_statement":{"kind":"string","value":"download_all callback\n**[Original report](https://bitbucket.org/geostorm/eodag/issue/121) by me.**\n\n----------------------------------------\n\nWhen using download_all, provide the availability to launch a callback when each individual download in finished\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/__init__.py b/tests/__init__.py\nindex e2afd291..5cf15b0d 100644\n--- a/tests/__init__.py\n+++ b/tests/__init__.py\n@@ -16,7 +16,9 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n \n+import io\n import os\n+import pathlib\n import random\n import shutil\n import tempfile\n@@ -29,7 +31,10 @@ from owslib.etree import etree\n from owslib.ows import ExceptionReport\n from shapely import wkt\n \n+from eodag import config\n+from eodag.api.product import EOProduct\n from eodag.api.product.metadata_mapping import DEFAULT_METADATA_MAPPING\n+from eodag.plugins.download.http import HTTPDownload\n \n jp = os.path.join\n dirn = os.path.dirname\n@@ -278,3 +283,80 @@ class EODagTestCase(unittest.TestCase):\n }\n )\n return mock.DEFAULT\n+\n+ def _dummy_product(\n+ self, provider=None, properties=None, productType=None, **kwargs\n+ ):\n+ return EOProduct(\n+ self.provider if provider is None else provider,\n+ self.eoproduct_props if properties is None else properties,\n+ productType=self.product_type if productType is None else productType,\n+ **kwargs,\n+ )\n+\n+ def _dummy_downloadable_product(\n+ self,\n+ product=None,\n+ base_uri=None,\n+ outputs_prefix=None,\n+ extract=None,\n+ delete_archive=None,\n+ ):\n+ self._set_download_simulation()\n+ dl_config = config.PluginConfig.from_mapping(\n+ {\n+ \"base_uri\": \"fake_base_uri\" if base_uri is None else base_uri,\n+ \"outputs_prefix\": tempfile.gettempdir()\n+ if outputs_prefix is None\n+ else outputs_prefix,\n+ \"extract\": True if extract is None else extract,\n+ \"delete_archive\": False if delete_archive is None else delete_archive,\n+ }\n+ )\n+ downloader = HTTPDownload(provider=self.provider, config=dl_config)\n+ if product is None:\n+ product = self._dummy_product()\n+ product.register_downloader(downloader, None)\n+ return product\n+\n+ def _clean_product(self, product_path):\n+ product_path = pathlib.Path(product_path)\n+ download_records_dir = product_path.parent / \".downloaded\"\n+ product_zip = product_path.parent / (product_path.name + \".zip\")\n+ shutil.rmtree(product_path)\n+ shutil.rmtree(download_records_dir)\n+ if os.path.exists(product_zip):\n+ os.remove(product_zip)\n+\n+ def _set_download_simulation(self):\n+ self.requests_http_get.return_value = self._download_response_archive()\n+\n+ def _download_response_archive(self):\n+ class Response(object):\n+ \"\"\"Emulation of a response to requests.get method for a zipped product\"\"\"\n+\n+ def __init__(response):\n+ # Using a zipped product file\n+ with open(self.local_product_as_archive_path, \"rb\") as fh:\n+ response.__zip_buffer = io.BytesIO(fh.read())\n+ cl = response.__zip_buffer.getbuffer().nbytes\n+ response.headers = {\"content-length\": cl}\n+\n+ def __enter__(response):\n+ return response\n+\n+ def __exit__(response, *args):\n+ pass\n+\n+ def iter_content(response, **kwargs):\n+ with response.__zip_buffer as fh:\n+ while True:\n+ chunk = fh.read(kwargs[\"chunk_size\"])\n+ if not chunk:\n+ break\n+ yield chunk\n+\n+ def raise_for_status(response):\n+ pass\n+\n+ return Response()\ndiff --git a/tests/context.py b/tests/context.py\nindex 96aca67b..1a31b578 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -53,6 +53,7 @@ from eodag.utils import (\n path_to_uri,\n ProgressCallback,\n uri_to_path,\n+ DownloadedCallback,\n )\n from eodag.utils.exceptions import (\n AddressNotFound,\ndiff --git a/tests/integration/test_core_search_results.py b/tests/integration/test_core_search_results.py\nindex db49dea3..e14f7e25 100644\n--- a/tests/integration/test_core_search_results.py\n+++ b/tests/integration/test_core_search_results.py\n@@ -20,16 +20,16 @@ import json\n import os\n import shutil\n import tempfile\n-import unittest\n \n from shapely import geometry\n \n-from tests import TEST_RESOURCES_PATH\n+from tests import TEST_RESOURCES_PATH, EODagTestCase\n from tests.context import EODataAccessGateway, EOProduct, SearchResult\n \n \n-class TestCoreSearchResults(unittest.TestCase):\n+class TestCoreSearchResults(EODagTestCase):\n def setUp(self):\n+ super(TestCoreSearchResults, self).setUp()\n self.dag = EODataAccessGateway()\n self.maxDiff = None\n self.geojson_repr = {\n@@ -203,3 +203,27 @@ class TestCoreSearchResults(unittest.TestCase):\n self.assertIn(1, ss_len)\n self.assertIn(2, ss_len)\n self.assertIn(3, ss_len)\n+\n+ def test_empty_search_result_return_empty_list(self):\n+ products_paths = self.dag.download_all(None)\n+ self.assertFalse(products_paths)\n+\n+ def test_download_all_callback(self):\n+ product = self._dummy_downloadable_product()\n+ search_result = SearchResult([product])\n+\n+ def downloaded_callback_func(product):\n+ self.assertTrue(product in search_result)\n+ downloaded_callback_func.times_called += 1\n+\n+ downloaded_callback_func.times_called = 0\n+\n+ try:\n+ self.assertEqual(downloaded_callback_func.times_called, 0)\n+ products_paths = self.dag.download_all(\n+ search_result, downloaded_callback=downloaded_callback_func\n+ )\n+ self.assertEqual(downloaded_callback_func.times_called, len(search_result))\n+ finally:\n+ for product_path in products_paths:\n+ self._clean_product(product_path)\ndiff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py\nindex a72428a9..72d6ff7d 100644\n--- a/tests/units/test_eoproduct.py\n+++ b/tests/units/test_eoproduct.py\n@@ -40,9 +40,7 @@ class TestEOProduct(EODagTestCase):\n \n def test_eoproduct_search_intersection_geom(self):\n \"\"\"EOProduct search_intersection attr must be it's geom when no bbox_or_intersect param given\"\"\" # noqa\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n+ product = self._dummy_product()\n self.assertEqual(product.geometry, product.search_intersection)\n \n def test_eoproduct_search_intersection_none(self):\n@@ -60,10 +58,7 @@ class TestEOProduct(EODagTestCase):\n ]\n ],\n }\n- product = EOProduct(\n- self.provider,\n- self.eoproduct_props,\n- productType=self.product_type,\n+ product = self._dummy_product(\n geometry=geometry.Polygon(\n (\n (10.469970703124998, 3.9957805129630373),\n@@ -77,18 +72,12 @@ class TestEOProduct(EODagTestCase):\n \n def test_eoproduct_default_driver_unsupported_product_type(self):\n \"\"\"EOProduct driver attr must be NoDriver if its product type is not associated with a eodag dataset driver\"\"\" # noqa\n- product = EOProduct(\n- self.provider,\n- self.eoproduct_props,\n- productType=self.NOT_ASSOCIATED_PRODUCT_TYPE,\n- )\n+ product = self._dummy_product(productType=self.NOT_ASSOCIATED_PRODUCT_TYPE)\n self.assertIsInstance(product.driver, NoDriver)\n \n def test_eoproduct_geointerface(self):\n \"\"\"EOProduct must provide a geo-interface with a set of specific properties\"\"\"\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n+ product = self._dummy_product()\n geo_interface = geojson.loads(geojson.dumps(product))\n self.assertEqual(geo_interface[\"type\"], \"Feature\")\n self.assertEqual(\n@@ -105,9 +94,7 @@ class TestEOProduct(EODagTestCase):\n \n def test_eoproduct_from_geointerface(self):\n \"\"\"EOProduct must be build-able from its geo-interface\"\"\"\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n+ product = self._dummy_product()\n same_product = EOProduct.from_geojson(geojson.loads(geojson.dumps(product)))\n self.assertSequenceEqual(\n [\n@@ -138,9 +125,7 @@ class TestEOProduct(EODagTestCase):\n \n def test_eoproduct_get_quicklook_no_quicklook_url(self):\n \"\"\"EOProduct.get_quicklook must return an empty string if no quicklook property\"\"\" # noqa\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n+ product = self._dummy_product()\n product.properties[\"quicklook\"] = None\n \n quicklook_file_path = product.get_quicklook()\n@@ -148,9 +133,7 @@ class TestEOProduct(EODagTestCase):\n \n def test_eoproduct_get_quicklook_http_error(self):\n \"\"\"EOProduct.get_quicklook must return an empty string if there was an error during retrieval\"\"\" # noqa\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n+ product = self._dummy_product()\n product.properties[\"quicklook\"] = \"https://fake.url.to/quicklook\"\n \n self.requests_http_get.return_value.__enter__.return_value.raise_for_status.side_effect = ( # noqa\n@@ -172,9 +155,7 @@ class TestEOProduct(EODagTestCase):\n \n def test_eoproduct_get_quicklook_ok(self):\n \"\"\"EOProduct.get_quicklook must return the path to the successfully downloaded quicklook\"\"\" # noqa\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n+ product = self._dummy_product()\n product.properties[\"quicklook\"] = \"https://fake.url.to/quicklook\"\n \n self.requests_http_get.return_value = self._quicklook_response()\n@@ -224,9 +205,7 @@ class TestEOProduct(EODagTestCase):\n os.mkdir(quicklook_dir)\n with open(existing_quicklook_file_path, \"wb\") as fh:\n fh.write(b\"content\")\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n+ product = self._dummy_product()\n product.properties[\"quicklook\"] = \"https://fake.url.to/quicklook\"\n mock_downloader = mock.MagicMock(\n spec_set=Download(provider=self.provider, config=None)\n@@ -273,20 +252,7 @@ class TestEOProduct(EODagTestCase):\n def test_eoproduct_download_http_default(self):\n \"\"\"eoproduct.download must save the product at outputs_prefix and create a .downloaded dir\"\"\" # noqa\n # Setup\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n- self.requests_http_get.return_value = self._download_response_archive()\n- dl_config = config.PluginConfig.from_mapping(\n- {\n- \"base_uri\": \"fake_base_uri\",\n- \"outputs_prefix\": tempfile.gettempdir(),\n- \"delete_archive\": False,\n- }\n- )\n- downloader = HTTPDownload(provider=self.provider, config=dl_config)\n- product.register_downloader(downloader, None)\n-\n+ product = self._dummy_downloadable_product()\n try:\n # Download\n product_dir_path = product.download()\n@@ -313,65 +279,33 @@ class TestEOProduct(EODagTestCase):\n self.assertTrue(zipfile.is_zipfile(product_zip))\n finally:\n # Teardown\n- os.remove(product_zip)\n- shutil.rmtree(product_dir_path)\n- os.remove(str(records_file))\n- os.rmdir(str(download_records_dir))\n+ self._clean_product(product_dir_path)\n \n def test_eoproduct_download_http_delete_archive(self):\n \"\"\"eoproduct.download must delete the downloaded archive\"\"\" # noqa\n # Setup\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n- self.requests_http_get.return_value = self._download_response_archive()\n- dl_config = config.PluginConfig.from_mapping(\n- {\n- \"base_uri\": \"fake_base_uri\",\n- \"outputs_prefix\": tempfile.gettempdir(),\n- \"delete_archive\": True,\n- }\n- )\n- downloader = HTTPDownload(provider=self.provider, config=dl_config)\n- product.register_downloader(downloader, None)\n-\n+ product = self._dummy_downloadable_product(delete_archive=True)\n try:\n # Download\n product_dir_path = product.download()\n- product_dir_path = pathlib.Path(product_dir_path)\n # Check that the mocked request was properly called.\n self.requests_http_get.assert_called_with(\n self.download_url, stream=True, auth=None, params={}\n )\n- download_records_dir = product_dir_path.parent / \".downloaded\"\n # Check that the product's directory exists.\n self.assertTrue(os.path.isdir(product_dir_path))\n # Check that the ZIP file was deleted there\n- product_zip = product_dir_path.parent / (product_dir_path.name + \".zip\")\n+ _product_dir_path = pathlib.Path(product_dir_path)\n+ product_zip = _product_dir_path.parent / (_product_dir_path.name + \".zip\")\n self.assertFalse(os.path.exists(product_zip))\n finally:\n # Teardown\n- shutil.rmtree(product_dir_path)\n- shutil.rmtree(download_records_dir)\n+ self._clean_product(product_dir_path)\n \n def test_eoproduct_download_http_extract(self):\n \"\"\"eoproduct.download over must be able to extract a product\"\"\"\n # Setup\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n- self.requests_http_get.return_value = self._download_response_archive()\n- dl_config = config.PluginConfig.from_mapping(\n- {\n- \"base_uri\": \"fake_base_uri\",\n- \"outputs_prefix\": tempfile.gettempdir(),\n- \"extract\": True,\n- \"delete_archive\": False,\n- }\n- )\n- downloader = HTTPDownload(provider=self.provider, config=dl_config)\n- product.register_downloader(downloader, None)\n-\n+ product = self._dummy_downloadable_product(extract=True)\n try:\n # Download\n product_dir_path = product.download()\n@@ -384,21 +318,15 @@ class TestEOProduct(EODagTestCase):\n # The zip file should is around\n product_zip_file = product_dir_path.with_suffix(\".SAFE.zip\")\n self.assertTrue(product_zip_file.is_file)\n-\n- download_records_dir = pathlib.Path(product_dir_path).parent / \".downloaded\"\n finally:\n # Teardown\n- shutil.rmtree(str(product_dir_path))\n- os.remove(str(product_zip_file))\n- shutil.rmtree(str(download_records_dir))\n+ self._clean_product(product_dir_path)\n \n def test_eoproduct_download_http_dynamic_options(self):\n \"\"\"eoproduct.download must accept the download options to be set automatically\"\"\"\n # Setup\n- product = EOProduct(\n- self.provider, self.eoproduct_props, productType=self.product_type\n- )\n- self.requests_http_get.return_value = self._download_response_archive()\n+ product = self._dummy_product()\n+ self._set_download_simulation()\n dl_config = config.PluginConfig.from_mapping(\n {\"base_uri\": \"fake_base_uri\", \"outputs_prefix\": \"will_be_overriden\"}\n )\n@@ -409,7 +337,7 @@ class TestEOProduct(EODagTestCase):\n output_dir = pathlib.Path(tempfile.gettempdir()) / output_dir_name\n try:\n if output_dir.is_dir():\n- shutil.rmtree(str(output_dir))\n+ shutil.rmtree(output_dir)\n output_dir.mkdir()\n \n # Download\n@@ -435,34 +363,4 @@ class TestEOProduct(EODagTestCase):\n self.assertTrue(product_zip_file.is_file)\n finally:\n # Teardown (all the created files are within outputs_prefix)\n- shutil.rmtree(str(output_dir))\n-\n- def _download_response_archive(self):\n- class Response(object):\n- \"\"\"Emulation of a response to requests.get method for a zipped product\"\"\"\n-\n- def __init__(response):\n- # Using a zipped product file\n- with open(self.local_product_as_archive_path, \"rb\") as fh:\n- response.__zip_buffer = io.BytesIO(fh.read())\n- cl = response.__zip_buffer.getbuffer().nbytes\n- response.headers = {\"content-length\": cl}\n-\n- def __enter__(response):\n- return response\n-\n- def __exit__(response, *args):\n- pass\n-\n- def iter_content(response, **kwargs):\n- with response.__zip_buffer as fh:\n- while True:\n- chunk = fh.read(kwargs[\"chunk_size\"])\n- if not chunk:\n- break\n- yield chunk\n-\n- def raise_for_status(response):\n- pass\n-\n- return Response()\n+ shutil.rmtree(output_dir)\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex 62a5b713..d7757876 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -23,6 +23,7 @@ from datetime import datetime\n from io import StringIO\n \n from tests.context import (\n+ DownloadedCallback,\n ProgressCallback,\n get_timestamp,\n merge_mappings,\n@@ -74,6 +75,15 @@ class TestUtils(unittest.TestCase):\n else:\n self.assertEqual(path_to_uri(\"/tmp/file.txt\"), \"file:///tmp/file.txt\")\n \n+ def test_downloaded_callback(self):\n+ \"\"\"DownloadedCallback instance is callable with product as parameter\"\"\"\n+ downloaded_callback = DownloadedCallback()\n+ self.assertTrue(callable(downloaded_callback))\n+ try:\n+ downloaded_callback(product=None)\n+ except TypeError as e:\n+ self.fail(f\"DownloadedCallback got an error when called: {e}\")\n+\n def test_progresscallback_init(self):\n \"\"\"ProgressCallback can be instantiated using defaults values\"\"\"\n with ProgressCallback() as bar:\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 0,\n \"test_score\": 0\n },\n \"num_modified_files\": 8\n}"},"version":{"kind":"string","value":"2.3"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@df05c353836883546e47db4057123ac501e003c6#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - nose==1.3.7\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_deserialize_search_results","tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_serialize_search_results","tests/integration/test_core_search_results.py::TestCoreSearchResults::test_download_all_callback","tests/integration/test_core_search_results.py::TestCoreSearchResults::test_empty_search_result_return_empty_list","tests/integration/test_core_search_results.py::TestCoreSearchResults::test_group_by_extent","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_delete_archive","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom","tests/units/test_utils.py::TestUtils::test_downloaded_callback","tests/units/test_utils.py::TestUtils::test_merge_mappings","tests/units/test_utils.py::TestUtils::test_path_to_uri","tests/units/test_utils.py::TestUtils::test_progresscallback_copy","tests/units/test_utils.py::TestUtils::test_progresscallback_disable","tests/units/test_utils.py::TestUtils::test_progresscallback_init","tests/units/test_utils.py::TestUtils::test_progresscallback_init_customize","tests/units/test_utils.py::TestUtils::test_uri_to_path","tests/units/test_utils.py::TestUtils::test_utils_get_timestamp"],"string":"[\n \"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_deserialize_search_results\",\n \"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_serialize_search_results\",\n \"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_download_all_callback\",\n \"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_empty_search_result_return_empty_list\",\n \"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_group_by_extent\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_delete_archive\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom\",\n \"tests/units/test_utils.py::TestUtils::test_downloaded_callback\",\n \"tests/units/test_utils.py::TestUtils::test_merge_mappings\",\n \"tests/units/test_utils.py::TestUtils::test_path_to_uri\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_copy\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_disable\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_init\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_init_customize\",\n \"tests/units/test_utils.py::TestUtils::test_uri_to_path\",\n \"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none"],"string":"[\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":461,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-405"},"base_commit":{"kind":"string","value":"d9f16f411fdf5eb6ad752f984782dd06ed882dc8"},"created_at":{"kind":"string","value":"2022-02-22 18:02:30"},"environment_setup_commit":{"kind":"string","value":"d9f16f411fdf5eb6ad752f984782dd06ed882dc8"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex 3202c76a..fe7d3573 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -253,11 +253,17 @@ class AwsDownload(Download):\n bucket_names_and_prefixes = [self.get_bucket_name_and_prefix(product)]\n \n # add complementary urls\n- for complementary_url_key in product_conf.get(\"complementary_url_key\", []):\n- bucket_names_and_prefixes.append(\n- self.get_bucket_name_and_prefix(\n- product, product.properties[complementary_url_key]\n+ try:\n+ for complementary_url_key in product_conf.get(\"complementary_url_key\", []):\n+ bucket_names_and_prefixes.append(\n+ self.get_bucket_name_and_prefix(\n+ product, product.properties[complementary_url_key]\n+ )\n )\n+ except KeyError:\n+ logger.error(\n+ \"complementary_url_key %s is missing in %s properties\"\n+ % (complementary_url_key, product.properties[\"id\"])\n )\n \n # authenticate\n@@ -566,13 +572,18 @@ class AwsDownload(Download):\n \n def check_manifest_file_list(self, product_path):\n \"\"\"Checks if products listed in manifest.safe exist\"\"\"\n- manifest_path = [\n+ manifest_path_list = [\n os.path.join(d, x)\n for d, _, f in os.walk(product_path)\n for x in f\n if x == \"manifest.safe\"\n- ][0]\n- safe_path = os.path.dirname(manifest_path)\n+ ]\n+ if len(manifest_path_list) == 0:\n+ raise FileNotFoundError(\n+ f\"No manifest.safe could be found in {product_path}\"\n+ )\n+ else:\n+ safe_path = os.path.dirname(manifest_path_list[0])\n \n root = etree.parse(os.path.join(safe_path, \"manifest.safe\")).getroot()\n for safe_file in root.xpath(\"//fileLocation\"):\n@@ -587,13 +598,18 @@ class AwsDownload(Download):\n \"\"\"Add missing dirs to downloaded product\"\"\"\n try:\n logger.debug(\"Finalize SAFE product\")\n- manifest_path = [\n+ manifest_path_list = [\n os.path.join(d, x)\n for d, _, f in os.walk(product_path)\n for x in f\n if x == \"manifest.safe\"\n- ][0]\n- safe_path = os.path.dirname(manifest_path)\n+ ]\n+ if len(manifest_path_list) == 0:\n+ raise FileNotFoundError(\n+ f\"No manifest.safe could be found in {product_path}\"\n+ )\n+ else:\n+ safe_path = os.path.dirname(manifest_path_list[0])\n \n # create empty missing dirs\n auxdata_path = os.path.join(safe_path, \"AUX_DATA\")\n@@ -868,7 +884,7 @@ class AwsDownload(Download):\n auth=None,\n downloaded_callback=None,\n progress_callback=None,\n- **kwargs\n+ **kwargs,\n ):\n \"\"\"\n download_all using parent (base plugin) method\n@@ -878,5 +894,5 @@ class AwsDownload(Download):\n auth=auth,\n downloaded_callback=downloaded_callback,\n progress_callback=progress_callback,\n- **kwargs\n+ **kwargs,\n )\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 0dc859d4..2b792b94 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1718,7 +1718,7 @@\n platformSerialIdentifier: '$.id.`split(_, 0, -1)`'\n polarizationMode: '$.id.`sub(/.{14}([A-Z]{2}).*/, \\\\1)`'\n productPath: |\n- $.properties.\"sentinel:product_id\".`sub(/([S2AB]{3})_MSIL1C_([0-9]{4})(0?)([1-9]+)([0-9]{2})(T.*)/, products/\\\\2/\\\\4/\\\\5/\\\\1_MSIL1C_\\\\2\\\\3\\\\4\\\\5\\\\6)`\n+ $.properties.\"sentinel:product_id\".`sub(/([S2AB]{3})_MSIL1C_([0-9]{4})([0-9]{2})([0-9]{2})(T.*)/, products/\\\\2/\\\\3/\\\\4/\\\\1_MSIL1C_\\\\2\\\\3\\\\4\\\\5)`.`sub(/\\/0+/, \\/)`\n tilePath: |\n $.assets.info.href.`sub(/.*/sentinel-s2-l1c\\/(tiles\\/.*)\\/tileInfo\\.json/, \\\\1)`\n S2_MSI_L2A:\n@@ -1728,7 +1728,7 @@\n platformSerialIdentifier: '$.id.`split(_, 0, -1)`'\n polarizationMode: '$.id.`sub(/.{14}([A-Z]{2}).*/, \\\\1)`'\n productPath: |\n- $.properties.\"sentinel:product_id\".`sub(/([S2AB]{3})_MSIL2A_([0-9]{4})(0?)([1-9]+)([0-9]{2})(T.*)/, products/\\\\2/\\\\4/\\\\5/\\\\1_MSIL2A_\\\\2\\\\3\\\\4\\\\5\\\\6)`\n+ $.properties.\"sentinel:product_id\".`sub(/([S2AB]{3})_MSIL2A_([0-9]{4})([0-9]{2})([0-9]{2})(T.*)/, products/\\\\2/\\\\3/\\\\4/\\\\1_MSIL2A_\\\\2\\\\3\\\\4\\\\5)`.`sub(/\\/0+/, \\/)`\n tilePath: |\n $.assets.info.href.`sub(/.*/sentinel-s2-l2a\\/(tiles\\/.*)\\/tileInfo\\.json/, \\\\1)`\n L8_OLI_TIRS_C1L1:\n"},"problem_statement":{"kind":"string","value":"finalize_s2_safe_product: Fails when missing manifest.safe\nWhen downloading some products on `earth_search`, I have a problem when converting the product format to `.SAFE`:\r\n\r\n\r\n\r\nIt seems some L2A products are arriving without the `manifest.safe` file 😓 \r\n\r\n\r\nEnvironment:\r\n\r\n Python version: Python 3.7.12\r\n EODAG version: eodag (Earth Observation Data Access Gateway): version 2.3.4\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py\nindex 405451a8..47ced2e6 100644\n--- a/tests/units/test_search_plugins.py\n+++ b/tests/units/test_search_plugins.py\n@@ -297,3 +297,50 @@ class TestSearchPluginODataV4Search(BaseSearchPluginTest):\n self.assertEqual(estimate, self.onda_products_count)\n self.assertEqual(len(products), number_of_products)\n self.assertIsInstance(products[0], EOProduct)\n+\n+\n+class TestSearchPluginStacSearch(BaseSearchPluginTest):\n+ @mock.patch(\"eodag.plugins.search.qssearch.StacSearch._request\", autospec=True)\n+ def test_plugins_search_stacsearch_mapping_earthsearch(self, mock__request):\n+ \"\"\"The metadata mapping for earth_search should return well formatted results\"\"\" # noqa\n+\n+ geojson_geometry = self.search_criteria_s2_msi_l1c[\"geometry\"].__geo_interface__\n+\n+ mock__request.return_value = mock.Mock()\n+ mock__request.return_value.json.side_effect = [\n+ {\n+ \"context\": {\"page\": 1, \"limit\": 2, \"matched\": 1, \"returned\": 2},\n+ },\n+ {\n+ \"features\": [\n+ {\n+ \"id\": \"foo\",\n+ \"geometry\": geojson_geometry,\n+ \"properties\": {\n+ \"sentinel:product_id\": \"S2B_MSIL1C_20201009T012345_N0209_R008_T31TCJ_20201009T123456\",\n+ },\n+ },\n+ {\n+ \"id\": \"bar\",\n+ \"geometry\": geojson_geometry,\n+ \"properties\": {\n+ \"sentinel:product_id\": \"S2B_MSIL1C_20200910T012345_N0209_R008_T31TCJ_20200910T123456\",\n+ },\n+ },\n+ ]\n+ },\n+ ]\n+\n+ search_plugin = self.get_search_plugin(self.product_type, \"earth_search\")\n+\n+ products, estimate = search_plugin.query(\n+ page=1, items_per_page=2, auth=None, **self.search_criteria_s2_msi_l1c\n+ )\n+ self.assertEqual(\n+ products[0].properties[\"productPath\"],\n+ \"products/2020/10/9/S2B_MSIL1C_20201009T012345_N0209_R008_T31TCJ_20201009T123456\",\n+ )\n+ self.assertEqual(\n+ products[1].properties[\"productPath\"],\n+ \"products/2020/9/10/S2B_MSIL1C_20200910T012345_N0209_R008_T31TCJ_20200910T123456\",\n+ )\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_media\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 2,\n \"test_score\": 3\n },\n \"num_modified_files\": 2\n}"},"version":{"kind":"string","value":"2.3"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\n-e git+https://github.com/CS-SI/eodag.git@d9f16f411fdf5eb6ad752f984782dd06ed882dc8#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnose==1.3.7\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - nose==1.3.7\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch"],"string":"[\n \"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda"],"string":"[\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":462,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-458"},"base_commit":{"kind":"string","value":"909354f089a3e08e810a194a10ce54858b26e6f6"},"created_at":{"kind":"string","value":"2022-05-16 11:32:46"},"environment_setup_commit":{"kind":"string","value":"be026c211b2ef28ceb8b13437a8eceaf4245689b"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 11m 23s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") +49s\n252 tests ±0 250 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") ±0 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n504 runs ±0 500 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") ±0 4 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 77ae4d8d. ± Comparison against base commit be026c21.\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `79%` | :white_check_mark: |\n| eodag/api/search\\_result.py | `84%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `79%` | :white_check_mark: |\n| eodag/api/search\\_result.py | `84%` | :white_check_mark: |\n| eodag/api/search\\_result.py | `83%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 77ae4d8de012d2375a443d5a10c46c25449bcbf1 </p>"},"patch":{"kind":"string","value":"diff --git a/docs/api_reference/searchresult.rst b/docs/api_reference/searchresult.rst\nindex cb845cfe..7957cf0b 100644\n--- a/docs/api_reference/searchresult.rst\n+++ b/docs/api_reference/searchresult.rst\n@@ -22,6 +22,7 @@ Crunch\n SearchResult.filter_latest_by_name\n SearchResult.filter_overlap\n SearchResult.filter_property\n+ SearchResult.filter_online\n \n Conversion\n ----------\n@@ -41,4 +42,4 @@ Interface\n SearchResult.__geo_interface__\n \n .. autoclass:: SearchResult\n- :members: crunch, filter_date, filter_latest_intersect, filter_latest_by_name, filter_overlap, filter_property, from_geojson, as_geojson_object, as_shapely_geometry_object, as_wkt_object, __geo_interface__\n+ :members: crunch, filter_date, filter_latest_intersect, filter_latest_by_name, filter_overlap, filter_property, filter_online, from_geojson, as_geojson_object, as_shapely_geometry_object, as_wkt_object, __geo_interface__\ndiff --git a/docs/notebooks/api_user_guide/6_crunch.ipynb b/docs/notebooks/api_user_guide/6_crunch.ipynb\nindex 5c9b45cb..5c4d429b 100644\n--- a/docs/notebooks/api_user_guide/6_crunch.ipynb\n+++ b/docs/notebooks/api_user_guide/6_crunch.ipynb\n@@ -470,6 +470,51 @@\n \"all([p.properties[\\\"cloudCover\\\"] < 1 for p in filtered_products])\"\n ]\n },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"## Filter for online products\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"Sometimes you may want to avoid ordering OFFLINE products, and only download the one marked ONLINE.\\n\",\n+ \"\\n\",\n+ \"You can already filter for online products using [FilterProperty](../../plugins_reference/generated/eodag.plugins.crunch.filter_property.FilterProperty.rst#eodag.plugins.crunch.filter_property.FilterProperty) like this:\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"filtered_products = search_results.crunch(\\n\",\n+ \" FilterProperty(dict(storageStatus=\\\"ONLINE\\\", operator=\\\"eq\\\"))\\n\",\n+ \")\\n\",\n+ \"print(f\\\"{len(search_results) - len(filtered_products)} products are online.\\\")\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"While this code do the job, it is quite verbose. The better way is to use [SearchResult.filter_online()](../../api_reference/searchresult.rst#eodag.api.search_result.SearchResult.filter_online).\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"filtered_products = search_results.filter_online()\\n\",\n+ \"print(f\\\"{len(search_results) - len(filtered_products)} products are online.\\\")\"\n+ ]\n+ },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\ndiff --git a/eodag/api/search_result.py b/eodag/api/search_result.py\nindex 182e7e54..eaea0653 100644\n--- a/eodag/api/search_result.py\n+++ b/eodag/api/search_result.py\n@@ -102,6 +102,13 @@ class SearchResult(UserList):\n \"\"\"\n return self.crunch(FilterProperty(dict(operator=operator, **search_property)))\n \n+ def filter_online(self):\n+ \"\"\"\n+ Use cruncher :class:`~eodag.plugins.crunch.filter_property.FilterProperty`,\n+ filter for online products.\n+ \"\"\"\n+ return self.filter_property(storageStatus=\"ONLINE\")\n+\n @staticmethod\n def from_geojson(feature_collection):\n \"\"\"Builds an :class:`~eodag.api.search_result.SearchResult` object from its representation as geojson\n"},"problem_statement":{"kind":"string","value":"Avoid trying to order an OFFLINE product\nFrom @remi-braun in https://github.com/CS-SI/eodag/issues/214\r\n\r\n> Maybe add the LTA order as a parameter, as it is not needed in every usecase (sometimes, sb just want to download everything he can without triggering any LTA retrieval)\r\n\r\nLTA: Long Term Archive\r\n\r\nThe `HTTPDownload` plugin (used by creodias, onda, theia, peps, sobloo) can automatically try to order a product if its status is *OFFLINE*, and can download it afterwards.\r\n\r\nThe feature request is to add a way to avoid trying to order an *OFFLINE* product.\r\n\r\nThis could be done in at least two complementary ways:\r\n1. Document the way to filter out *OFFLINE* products from the result of a search. This can be done as follows currently:\r\n```python\r\nfrom eodag.plugins.crunch.filter_property import FilterProperty\r\ndag.set_preferred_provider(\"peps\")\r\nprods, _ = dag.search(...)\r\nonline_prods = prods.crunch(FilterProperty({\"storageStatus\": \"ONLINE\", \"operator\": \"eq\"}))\r\ndag.download_all(online_prods)\r\n```\r\n2. Add a parameter to pass as a kwarg to `EODataAccessGateway.download_all` (not sure it's relevant for `download`), e.g. `skip_offline`, that would be passed to the HTTPPlugin and, if `True`, would stop trying to download this product, which would lead to `download_all` trying to download the next product."},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_search_result.py b/tests/units/test_search_result.py\nindex 608cd86f..e85e3233 100644\n--- a/tests/units/test_search_result.py\n+++ b/tests/units/test_search_result.py\n@@ -22,13 +22,34 @@ from collections import UserList\n import geojson\n from shapely.geometry.collection import GeometryCollection\n \n-from tests.context import SearchResult\n+from tests.context import EOProduct, SearchResult\n \n \n class TestSearchResult(unittest.TestCase):\n def setUp(self):\n super(TestSearchResult, self).setUp()\n self.search_result = SearchResult([])\n+ self.search_result2 = SearchResult(\n+ [\n+ EOProduct(\n+ provider=None,\n+ properties={\"geometry\": \"POINT (0 0)\", \"storageStatus\": \"ONLINE\"},\n+ ),\n+ EOProduct(\n+ provider=None,\n+ properties={\"geometry\": \"POINT (0 0)\", \"storageStatus\": \"OFFLINE\"},\n+ ),\n+ ]\n+ )\n+\n+ def test_search_result_filter_online(self):\n+ \"\"\"SearchResult.filter_online must only keep online results\"\"\"\n+ filtered_products = self.search_result2.filter_online()\n+ origin_size = len(self.search_result2)\n+ filtered_size = len(filtered_products)\n+ self.assertFalse(origin_size == filtered_size)\n+ for product in filtered_products:\n+ assert product.properties[\"storageStatus\"] == \"ONLINE\"\n \n def test_search_result_geo_interface(self):\n \"\"\"SearchResult must provide a FeatureCollection geo-interface\"\"\"\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 0,\n \"issue_text_score\": 0,\n \"test_score\": 2\n },\n \"num_modified_files\": 3\n}"},"version":{"kind":"string","value":"2.4"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@909354f089a3e08e810a194a10ce54858b26e6f6#egg=eodag\nexceptiongroup==1.2.2\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==4.1.1\npytest-metadata==3.1.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.30.0\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.4.1.dev19+g909354f0\n - exceptiongroup==1.2.2\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==4.1.1\n - pytest-metadata==3.1.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.30.0\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_search_result.py::TestSearchResult::test_search_result_filter_online"],"string":"[\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_filter_online\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_search_result.py::TestSearchResult::test_search_result_as_geojson_object","tests/units/test_search_result.py::TestSearchResult::test_search_result_as_shapely_geometry_object","tests/units/test_search_result.py::TestSearchResult::test_search_result_as_wkt_object","tests/units/test_search_result.py::TestSearchResult::test_search_result_from_feature_collection","tests/units/test_search_result.py::TestSearchResult::test_search_result_geo_interface","tests/units/test_search_result.py::TestSearchResult::test_search_result_is_list_like"],"string":"[\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_as_geojson_object\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_as_shapely_geometry_object\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_as_wkt_object\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_from_feature_collection\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_geo_interface\",\n \"tests/units/test_search_result.py::TestSearchResult::test_search_result_is_list_like\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":463,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-480"},"base_commit":{"kind":"string","value":"54a51822ae350e54d2b7d353db377b6ff2886518"},"created_at":{"kind":"string","value":"2022-07-05 13:23:09"},"environment_setup_commit":{"kind":"string","value":"158fac82232af978700e8f829bd5b7e227774a4c"},"hints_text":{"kind":"string","value":"github-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `80%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `79%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 3daa8ff24c4f12d0f64328f8d266f223eb4f0f1f </p>\ngithub-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 10m 19s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") -46s\n253 tests ±0 251 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") ±0 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n506 runs ±0 502 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") ±0 4 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 59ba44f9. ± Comparison against base commit 54a51822.\n\n[test-results]:data:application/gzip;base64,H4sIAAhAxGIC/02M0Q7DEBRAf6XxvAdcpPYzC0oia2tRnpb9+0yxPp5zkvNGzq/2QPeJ3iZ0ZJ8GLDmq5MNeUBBZREmpRg6dHkc2piryV0//aotTOOXXIvAQNsYQm4l5/z05Fg36kmM6zHlknS/DytefCdvmUwHEpVaMOak0CK1nIjDWQIXGEsDZmVK7MKDKoM8Xu2tuoQUBAAA=\n"},"patch":{"kind":"string","value":"diff --git a/CHANGES.rst b/CHANGES.rst\nindex 964bb480..5762d991 100644\n--- a/CHANGES.rst\n+++ b/CHANGES.rst\n@@ -1,6 +1,11 @@\n Release history\n ---------------\n \n+2.5.2 (2022-07-05)\n+++++++++++++++++++\n+\n+* Fixes missing ``productPath`` property for some ``earth_search`` products (:pull:`480`)\n+\n 2.5.1 (2022-06-27)\n ++++++++++++++++++\n \ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 1bd6eb37..d9080757 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1725,7 +1725,7 @@\n platformSerialIdentifier: '$.id.`split(_, 0, -1)`'\n polarizationMode: '$.id.`sub(/.{14}([A-Z]{2}).*/, \\\\1)`'\n productPath: |\n- $.properties.\"sentinel:product_id\".`sub(/([S2AB]{3})_MSIL1C_([0-9]{4})([0-9]{2})([0-9]{2})(T.*)/, products/\\\\2/\\\\3/\\\\4/\\\\1_MSIL1C_\\\\2\\\\3\\\\4\\\\5)`.`sub(/\\/0+/, \\/)`\n+ $.properties.\"sentinel:product_id\".`sub(/([S2AB]{3})_MSIL1C_([0-9]{4})([0-9]{2})([0-9]{2})(T.*)/, products!\\\\2!\\\\3!\\\\4!\\\\1_MSIL1C_\\\\2\\\\3\\\\4\\\\5)`.`sub(/!0*/, /)`\n tilePath: |\n $.assets.info.href.`sub(/.*/sentinel-s2-l1c\\/(tiles\\/.*)\\/tileInfo\\.json/, \\\\1)`\n S2_MSI_L2A:\n@@ -1735,7 +1735,7 @@\n platformSerialIdentifier: '$.id.`split(_, 0, -1)`'\n polarizationMode: '$.id.`sub(/.{14}([A-Z]{2}).*/, \\\\1)`'\n productPath: |\n- $.properties.\"sentinel:product_id\".`sub(/([S2AB]{3})_MSIL2A_([0-9]{4})([0-9]{2})([0-9]{2})(T.*)/, products/\\\\2/\\\\3/\\\\4/\\\\1_MSIL2A_\\\\2\\\\3\\\\4\\\\5)`.`sub(/\\/0+/, \\/)`\n+ $.properties.\"sentinel:product_id\".`sub(/([S2AB]{3})_MSIL2A_([0-9]{4})([0-9]{2})([0-9]{2})(T.*)/, products!\\\\2!\\\\3!\\\\4!\\\\1_MSIL2A_\\\\2\\\\3\\\\4\\\\5)`.`sub(/!0*/, /)`\n tilePath: |\n $.assets.info.href.`sub(/.*/sentinel-s2-l2a\\/(tiles\\/.*)\\/tileInfo\\.json/, \\\\1)`\n L8_OLI_TIRS_C1L1:\ndiff --git a/pyproject.toml b/pyproject.toml\nindex f002f4b6..730b048d 100644\n--- a/pyproject.toml\n+++ b/pyproject.toml\n@@ -3,4 +3,4 @@ requires = [\"setuptools>=45\", \"setuptools_scm[toml]>=6.2,<7\"]\n build-backend = \"setuptools.build_meta\"\n \n [tool.setuptools_scm]\n-fallback_version = \"2.5.2.dev0\"\n+fallback_version = \"2.5.3.dev0\"\n"},"problem_statement":{"kind":"string","value":"Earth Search: Missing ProductPath in some downloaded product\nBug linked to #423. \r\nSorry to reopen again this issue, but I have encountered new products where it fails 😅\r\nI am recreating a new issue to be more precise.\r\n\r\n**Describe the bug**\r\n\r\nSome products are missing a ProductPath in their properties, leading to failure to find the manifest file\r\n`FileNotFoundError: No manifest.safe could be found in D:\\_EODOWNLOAD\\OUTPUT\\GRAND_EST\\L2A\\S2B_MSIL2A_20211229T130249_N0301_R095_T24MUV_20211229T151639`\r\n\r\n\r\nThis comes from the fact that the ProductPath is missing and its url is replaced by the product location in `get_bucket_name_and_prefix` (in `aws.py`). This leads to a wrong name and bucket:\r\n\r\n```python\r\nprint(\r\n self.get_bucket_name_and_prefix(\r\n product, product.properties[\"productPath\"]\r\n )\r\n)\r\n \r\n('v0', '/collections/sentinel-s2-l2a/items/S2A_32TLT_20211016_0_L2A')\r\n```\r\n\r\n**Code To Reproduce**\r\n```py\r\nimport os\r\nimport tempfile\r\n\r\nfrom eodag import EODataAccessGateway, setup_logging\r\nfrom eodag.config import override_config_from_file\r\n\r\nfrom eodownload import dir_utils\r\nfrom eodownload.dir_utils import get_data_directory\r\n\r\nOUTPUT = r\"D:\\\"\r\n\r\nos.environ[\"EODAG__EARTH_SEARCH__DOWNLOAD__EXTRACT\"] = \"false\"\r\nos.environ[\"EODAG__EARTH_SEARCH__DOWNLOAD__OUTPUTS_PREFIX\"] = OUTPUT\r\nos.environ[\"EODAG__EARTH_SEARCH__AUTH__CREDENTIALS__AWS_ACCESS_KEY_ID\"] = \"*****\"\r\nos.environ[\"EODAG__EARTH_SEARCH__AUTH__CREDENTIALS__AWS_SECRET_ACCESS_KEY\"] = \"*****\"\r\nos.environ[\"EODAG__EARTH_SEARCH__AUTH__CREDENTIALS__AWS_PROFILE\"] = \"*****\"\r\n\r\nif __name__ == \"__main__\":\r\n setup_logging(2) # DEBUG level\r\n\r\n with tempfile.TemporaryDirectory() as tmp:\r\n # Create gateway\r\n dag = EODataAccessGateway()\r\n dag.set_preferred_provider(\"earth_search\")\r\n\r\n # Query all\r\n products = dag.search_all(\r\n start=\"2021-12-28\",\r\n end=\"2021-12-30\",\r\n **{\r\n \"productType\": \"S2_MSI_L2A\",\r\n \"geom\": \"POINT (-40.30881686219417 -5.018666560087038)\"\r\n }\r\n )\r\n\r\n # Download all\r\n dag.download_all(products)\r\n```\r\n\r\n```\r\n2022-06-30 15:46:48,821 eodag.config [INFO ] Loading user configuration from: C:\\Users\\rbraun\\.config\\eodag\\eodag.yml\r\n2022-06-30 15:46:48,830 eodag.config [INFO ] aws_s3_sentinel2_l1c: unknown provider found in user conf, trying to use provided configuration\r\n2022-06-30 15:46:48,830 eodag.config [WARNING ] aws_s3_sentinel2_l1c skipped: could not be loaded from user configuration\r\n2022-06-30 15:46:48,965 eodag.core [INFO ] usgs: provider needing auth for search has been pruned because no crendentials could be found\r\n2022-06-30 15:46:48,965 eodag.core [INFO ] aws_eos: provider needing auth for search has been pruned because no crendentials could be found\r\n2022-06-30 15:46:49,114 eodag.core [INFO ] Locations configuration loaded from C:\\Users\\rbraun\\.config\\eodag\\locations.yml\r\n2022-06-30 15:46:49,763 eodag.core [INFO ] Searching product type 'S2_MSI_L2A' on provider: earth_search\r\n2022-06-30 15:46:49,763 eodag.core [INFO ] Iterate search over multiple pages: page #1\r\n2022-06-30 15:46:49,856 eodag.plugins.search.qssearch [INFO ] Sending search request: https://earth-search.aws.element84.com/v0/search\r\n2022-06-30 15:46:50,392 eodag.core [INFO ] Found 1 result(s) on provider 'earth_search'\r\n2022-06-30 15:46:50,392 eodag.core [INFO ] Downloading 1 products\r\nDownloaded products: 0%| | 0/1 [00:00<?, ?product/s]\r\n0.00B [00:00, ?B/s]\r\nS2B_24MUV_20211229_1_L2A: 0.00B [00:00, ?B/s]2022-06-30 15:46:50,394 eodag.plugins.download.base [INFO ] Download url: https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a/items/S2B_24MUV_20211229_1_L2A\r\n2022-06-30 15:46:50,394 eodag.plugins.download.aws [ERROR ] complementary_url_key productPath is missing in S2B_24MUV_20211229_1_L2A properties\r\nS2B_24MUV_20211229_1_L2A: 100%|██████████| 407M/407M [00:27<00:00, 8.57MB/s]2022-06-30 15:47:22,499 eodag.plugins.download.aws \r\n[ERROR ] Could not finalize SAFE product from downloaded data\r\nTraceback (most recent call last):\r\n File \"C:\\Users\\rbraun\\Anaconda3\\envs\\eodownload\\lib\\site-packages\\eodag\\plugins\\download\\aws.py\", line 657, in finalize_s2_safe_product\r\n f\"No manifest.safe could be found in {product_path}\"\r\nFileNotFoundError: No manifest.safe could be found in D:\\_EODOWNLOAD\\OUTPUT\\GRAND_EST\\L2A\\S2B_MSIL2A_20211229T130249_N0301_R095_T24MUV_20211229T151639\r\n2022-06-30 15:47:22,500 eodag.plugins.download.base [WARNING ] A problem occurred during download of product: EOProduct(id=S2B_24MUV_20211229_1_L2A, provider=earth_search). Skipping it\r\nS2B_24MUV_20211229_1_L2A: 100%|██████████| 407M/407M [00:27<00:00, 14.6MB/s]\r\n2022-06-30 15:47:22,503 eodag.plugins.download.base [INFO ] [Retry #1, 0/1 D/L] Waiting 87s until next download try (retry every 2' for 20')\r\n```\r\n\r\n**Output**\r\nCompete output obtained with maximal verbosity.\r\n\r\n**Environment:**\r\n - Python version: Python 3.7.12\r\n - EODAG version: eodag (Earth Observation Data Access Gateway): version 2.5.1\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py\nindex 636c92e3..f8e0f7d7 100644\n--- a/tests/units/test_search_plugins.py\n+++ b/tests/units/test_search_plugins.py\n@@ -327,6 +327,13 @@ class TestSearchPluginStacSearch(BaseSearchPluginTest):\n \"sentinel:product_id\": \"S2B_MSIL1C_20200910T012345_N0209_R008_T31TCJ_20200910T123456\",\n },\n },\n+ {\n+ \"id\": \"bar\",\n+ \"geometry\": geojson_geometry,\n+ \"properties\": {\n+ \"sentinel:product_id\": \"S2B_MSIL1C_20201010T012345_N0209_R008_T31TCJ_20201010T123456\",\n+ },\n+ },\n ]\n },\n ]\n@@ -344,3 +351,7 @@ class TestSearchPluginStacSearch(BaseSearchPluginTest):\n products[1].properties[\"productPath\"],\n \"products/2020/9/10/S2B_MSIL1C_20200910T012345_N0209_R008_T31TCJ_20200910T123456\",\n )\n+ self.assertEqual(\n+ products[2].properties[\"productPath\"],\n+ \"products/2020/10/10/S2B_MSIL1C_20201010T012345_N0209_R008_T31TCJ_20201010T123456\",\n+ )\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_issue_reference\",\n \"has_media\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 1,\n \"test_score\": 3\n },\n \"num_modified_files\": 3\n}"},"version":{"kind":"string","value":"2.5"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[tutorials]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"affine==2.4.0\nanyio==4.9.0\nargon2-cffi==23.1.0\nargon2-cffi-bindings==21.2.0\narrow==1.3.0\nasttokens==3.0.0\nasync-lru==2.0.5\nattrs==25.3.0\nbabel==2.17.0\nbeautifulsoup4==4.13.3\nbleach==6.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\nbranca==0.8.1\ncertifi==2025.1.31\ncffi==1.17.1\ncharset-normalizer==3.4.1\nclick==8.1.8\nclick-plugins==1.1.1\ncligj==0.7.2\ncomm==0.2.2\ncontourpy==1.3.0\ncoverage==7.8.0\ncycler==0.12.1\ndebugpy==1.8.13\ndecorator==5.2.1\ndefusedxml==0.7.1\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@54a51822ae350e54d2b7d353db377b6ff2886518#egg=eodag\neodag-cube==0.3.1\nexceptiongroup==1.2.2\nexecnet==2.1.1\nexecuting==2.2.0\nfastjsonschema==2.21.1\nflasgger==0.9.7.1\nFlask==3.1.0\nfolium==0.19.5\nfonttools==4.56.0\nfqdn==1.5.1\ngeojson==3.2.0\ngrpcio==1.71.0\nh11==0.14.0\nhttpcore==1.0.7\nhttpx==0.28.1\nidna==3.10\nimageio==2.37.0\nimportlib_metadata==8.6.1\nimportlib_resources==6.5.2\niniconfig==2.1.0\nipykernel==6.29.5\nipyleaflet==0.19.2\nipython==8.18.1\nipywidgets==8.1.5\nisoduration==20.11.0\nitsdangerous==2.2.0\njedi==0.19.2\nJinja2==3.1.6\njmespath==1.0.1\njson5==0.10.0\njsonpath-ng==1.7.0\njsonpointer==3.0.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\njupyter==1.1.1\njupyter-console==6.6.3\njupyter-events==0.12.0\njupyter-leaflet==0.19.2\njupyter-lsp==2.2.5\njupyter_client==8.6.3\njupyter_core==5.7.2\njupyter_server==2.15.0\njupyter_server_terminals==0.5.3\njupyterlab==4.3.6\njupyterlab_pygments==0.3.0\njupyterlab_server==2.27.3\njupyterlab_widgets==3.0.13\nkiwisolver==1.4.7\nlxml==5.3.1\nMarkdown==3.7\nMarkupSafe==3.0.2\nmatplotlib==3.9.4\nmatplotlib-inline==0.1.7\nmistune==3.1.3\nnbclient==0.10.2\nnbconvert==7.16.6\nnbformat==5.10.4\nnest-asyncio==1.6.0\nnotebook==7.3.3\nnotebook_shim==0.2.4\nnumpy==2.0.2\noverrides==7.7.0\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\npandocfilters==1.5.1\nparso==0.8.4\npexpect==4.9.0\npillow==11.1.0\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\nprometheus_client==0.21.1\nprompt_toolkit==3.0.50\nprotobuf==3.20.0\npsutil==7.0.0\nptyprocess==0.7.0\npure_eval==0.2.3\npycparser==2.22\nPygments==2.19.1\npyparsing==3.2.3\npyproj==3.6.1\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-json-logger==3.3.0\npytz==2025.2\nPyYAML==6.0.2\npyzmq==26.3.0\nrasterio==1.4.3\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrfc3339-validator==0.1.4\nrfc3986-validator==0.1.1\nrioxarray==0.15.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSend2Trash==1.8.3\nshapely==2.0.7\nsix==1.17.0\nsniffio==1.3.1\nsoupsieve==2.6\nstack-data==0.6.3\nterminado==0.18.1\ntinycss2==1.4.0\ntomli==2.2.1\ntornado==6.4.2\ntqdm==4.67.1\ntraitlets==5.14.3\ntraittypes==0.2.1\ntypes-python-dateutil==2.9.0.20241206\ntyping_extensions==4.13.0\ntzdata==2025.2\nuri-template==1.3.0\nurllib3==1.26.20\nusgs==0.3.5\nwcwidth==0.2.13\nwebcolors==24.11.1\nwebencodings==0.5.1\nwebsocket-client==1.8.0\nWerkzeug==3.1.3\nWhoosh==2.7.4\nwidgetsnbextension==4.0.13\nxarray==2024.7.0\nxyzservices==2025.1.0\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - affine==2.4.0\n - anyio==4.9.0\n - argon2-cffi==23.1.0\n - argon2-cffi-bindings==21.2.0\n - arrow==1.3.0\n - asttokens==3.0.0\n - async-lru==2.0.5\n - attrs==25.3.0\n - babel==2.17.0\n - beautifulsoup4==4.13.3\n - bleach==6.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - branca==0.8.1\n - certifi==2025.1.31\n - cffi==1.17.1\n - charset-normalizer==3.4.1\n - click==8.1.8\n - click-plugins==1.1.1\n - cligj==0.7.2\n - comm==0.2.2\n - contourpy==1.3.0\n - coverage==7.8.0\n - cycler==0.12.1\n - debugpy==1.8.13\n - decorator==5.2.1\n - defusedxml==0.7.1\n - ecmwf-api-client==1.6.5\n - eodag==2.5.1\n - eodag-cube==0.3.1\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - executing==2.2.0\n - fastjsonschema==2.21.1\n - flasgger==0.9.7.1\n - flask==3.1.0\n - folium==0.19.5\n - fonttools==4.56.0\n - fqdn==1.5.1\n - geojson==3.2.0\n - grpcio==1.71.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httpx==0.28.1\n - idna==3.10\n - imageio==2.37.0\n - importlib-metadata==8.6.1\n - importlib-resources==6.5.2\n - iniconfig==2.1.0\n - ipykernel==6.29.5\n - ipyleaflet==0.19.2\n - ipython==8.18.1\n - ipywidgets==8.1.5\n - isoduration==20.11.0\n - itsdangerous==2.2.0\n - jedi==0.19.2\n - jinja2==3.1.6\n - jmespath==1.0.1\n - json5==0.10.0\n - jsonpath-ng==1.7.0\n - jsonpointer==3.0.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - jupyter==1.1.1\n - jupyter-client==8.6.3\n - jupyter-console==6.6.3\n - jupyter-core==5.7.2\n - jupyter-events==0.12.0\n - jupyter-leaflet==0.19.2\n - jupyter-lsp==2.2.5\n - jupyter-server==2.15.0\n - jupyter-server-terminals==0.5.3\n - jupyterlab==4.3.6\n - jupyterlab-pygments==0.3.0\n - jupyterlab-server==2.27.3\n - jupyterlab-widgets==3.0.13\n - kiwisolver==1.4.7\n - lxml==5.3.1\n - markdown==3.7\n - markupsafe==3.0.2\n - matplotlib==3.9.4\n - matplotlib-inline==0.1.7\n - mistune==3.1.3\n - nbclient==0.10.2\n - nbconvert==7.16.6\n - nbformat==5.10.4\n - nest-asyncio==1.6.0\n - notebook==7.3.3\n - notebook-shim==0.2.4\n - numpy==2.0.2\n - overrides==7.7.0\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - pandocfilters==1.5.1\n - parso==0.8.4\n - pexpect==4.9.0\n - pillow==11.1.0\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - prometheus-client==0.21.1\n - prompt-toolkit==3.0.50\n - protobuf==3.20.0\n - psutil==7.0.0\n - ptyprocess==0.7.0\n - pure-eval==0.2.3\n - pycparser==2.22\n - pygments==2.19.1\n - pyparsing==3.2.3\n - pyproj==3.6.1\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-json-logger==3.3.0\n - pytz==2025.2\n - pyyaml==6.0.2\n - pyzmq==26.3.0\n - rasterio==1.4.3\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - rfc3339-validator==0.1.4\n - rfc3986-validator==0.1.1\n - rioxarray==0.15.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - send2trash==1.8.3\n - shapely==2.0.7\n - six==1.17.0\n - sniffio==1.3.1\n - soupsieve==2.6\n - stack-data==0.6.3\n - terminado==0.18.1\n - tinycss2==1.4.0\n - tomli==2.2.1\n - tornado==6.4.2\n - tqdm==4.67.1\n - traitlets==5.14.3\n - traittypes==0.2.1\n - types-python-dateutil==2.9.0.20241206\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - uri-template==1.3.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - wcwidth==0.2.13\n - webcolors==24.11.1\n - webencodings==0.5.1\n - websocket-client==1.8.0\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - widgetsnbextension==4.0.13\n - xarray==2024.7.0\n - xyzservices==2025.1.0\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch"],"string":"[\n \"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda"],"string":"[\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-480"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-480"}}},{"rowIdx":464,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-490"},"base_commit":{"kind":"string","value":"0a782d7f476a993170f7d60c006be09b4cfa2b47"},"created_at":{"kind":"string","value":"2022-07-26 13:06:01"},"environment_setup_commit":{"kind":"string","value":"158fac82232af978700e8f829bd5b7e227774a4c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 1 files - 1 1 suites - 1 4m 47s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") - 6m 50s\n268 tests + 1 265 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") ± 0 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 1 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") +1 \n268 runs - 266 265 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") - 265 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") - 2 1 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") +1 \n\nFor more details on these failures, see [this check](https://github.com/CS-SI/eodag/runs/7520866179).\n\nResults for commit e0e2c5a0. ± Comparison against base commit 0a782d7f.\n\n[test-results]:data:application/gzip;base64,H4sIAEzo32IC/1XMQQ6DIBCF4asY1l2Aggy9TEOmQ0Kq0iCsmt69o7Zql//3kvcSIQ40i2ujLo2Yayx73Gv2JaaJswXLwFNZxraHX93miriSOegRnwvtEHwcvp8bUM4ps0iWXKfjc4n/y02Ox7VPh2uf/zCNYywcgiS1aLyUaIGkBXC9ca4j0/UayCrUSoOyQbw/wjNTowUBAAA=\n\ngithub-actions[bot]: <strong></strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `80%` | :white_check_mark: |\n| eodag/api/product/\\_product.py | `83%` | :white_check_mark: |\n| tests/units/test\\_eoproduct.py | `98%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against e0e2c5a00c78e0788965993e53648e71c414817f </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/api/product/_product.py b/eodag/api/product/_product.py\nindex 683870ba..45162a1f 100644\n--- a/eodag/api/product/_product.py\n+++ b/eodag/api/product/_product.py\n@@ -282,7 +282,7 @@ class EOProduct(object):\n # update units as bar may have been previously used for extraction\n progress_callback.unit = \"B\"\n progress_callback.unit_scale = True\n- progress_callback.desc = self.properties.get(\"id\", \"\")\n+ progress_callback.desc = str(self.properties.get(\"id\", \"\"))\n progress_callback.refresh()\n \n fs_path = self.downloader.download(\n"},"problem_statement":{"kind":"string","value":"progress bar and int id\nIf product id is an integer, it makes download progress bar crash:\r\n```py\r\n>>> from eodag import EODataAccessGateway \r\n>>> dag = EODataAccessGateway() \r\n>>> dag.set_preferred_provider(\"usgs\") \r\n>>> prods, _ = dag.search(productType=\"SENTINEL_2A\")\r\n>>> prods[0].properties[\"id\"]\r\n18933649 \r\n>>> prods[0].download()\r\n \r\nTraceback (most recent call last): \r\n File \"<stdin>\", line 1, in <module> \r\n File \"/home/sylvain/workspace/eodag/eodag/api/product/_product.py\", line 286, in download \r\n progress_callback.refresh()\r\n File \"/home/sylvain/.virtualenvs/eodag-dev/lib/python3.8/site-packages/tqdm/std.py\", line 1361, in refresh\r\n self.display()\r\n File \"/home/sylvain/.virtualenvs/eodag-dev/lib/python3.8/site-packages/tqdm/std.py\", line 1509, in display\r\n self.sp(self.__str__() if msg is None else msg)\r\n File \"/home/sylvain/.virtualenvs/eodag-dev/lib/python3.8/site-packages/tqdm/std.py\", line 1165, in __str__\r\n return self.format_meter(**self.format_dict)\r\n File \"/home/sylvain/.virtualenvs/eodag-dev/lib/python3.8/site-packages/tqdm/std.py\", line 475, in format_meter\r\n bool_prefix_colon_already = (prefix[-2:] == \": \")\r\nTypeError: 'int' object is not subscriptable\r\n```\r\n\r\nIt should be cast to `str` before set as progress bar prefix."},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py\nindex 7829c168..045edf0d 100644\n--- a/tests/units/test_eoproduct.py\n+++ b/tests/units/test_eoproduct.py\n@@ -34,6 +34,7 @@ from tests.context import (\n EOProduct,\n HTTPDownload,\n NoDriver,\n+ ProgressCallback,\n config,\n )\n from tests.utils import mock\n@@ -44,6 +45,12 @@ class TestEOProduct(EODagTestCase):\n \n def setUp(self):\n super(TestEOProduct, self).setUp()\n+ self.output_dir = tempfile.mkdtemp()\n+\n+ def tearDown(self):\n+ super(TestEOProduct, self).tearDown()\n+ if os.path.isdir(self.output_dir):\n+ shutil.rmtree(self.output_dir)\n \n def test_eoproduct_search_intersection_geom(self):\n \"\"\"EOProduct search_intersection attr must be it's geom when no bbox_or_intersect param given\"\"\" # noqa\n@@ -383,3 +390,26 @@ class TestEOProduct(EODagTestCase):\n finally:\n # Teardown (all the created files are within outputs_prefix)\n shutil.rmtree(output_dir)\n+\n+ def test_eoproduct_download_progress_bar(self):\n+ \"\"\"eoproduct.download must show a progress bar\"\"\"\n+ product = self._dummy_downloadable_product()\n+ product.properties[\"id\"] = 12345\n+ progress_callback = ProgressCallback()\n+\n+ # progress bar did not start\n+ self.assertEqual(progress_callback.n, 0)\n+\n+ # extract=true would replace bar desc with extraction status\n+ product.download(\n+ progress_callback=progress_callback,\n+ outputs_prefix=self.output_dir,\n+ extract=False,\n+ )\n+\n+ # should be product id cast to str\n+ self.assertEqual(progress_callback.desc, \"12345\")\n+\n+ # progress bar finished\n+ self.assertEqual(progress_callback.n, progress_callback.total)\n+ self.assertGreater(progress_callback.total, 0)\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [],\n \"has_test_patch\": true,\n \"is_lite\": true,\n \"llm_score\": {\n \"difficulty_score\": 0,\n \"issue_text_score\": 0,\n \"test_score\": 0\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.5"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[tutorials]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"affine==2.4.0\nanyio==4.9.0\nargon2-cffi==23.1.0\nargon2-cffi-bindings==21.2.0\narrow==1.3.0\nasttokens==3.0.0\nasync-lru==2.0.5\nattrs==25.3.0\nbabel==2.17.0\nbeautifulsoup4==4.13.3\nbleach==6.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\nbranca==0.8.1\ncertifi==2025.1.31\ncffi==1.17.1\ncharset-normalizer==3.4.1\nclick==8.1.8\nclick-plugins==1.1.1\ncligj==0.7.2\ncomm==0.2.2\ncontourpy==1.3.0\ncoverage==7.8.0\ncycler==0.12.1\ndebugpy==1.8.13\ndecorator==5.2.1\ndefusedxml==0.7.1\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@0a782d7f476a993170f7d60c006be09b4cfa2b47#egg=eodag\neodag-cube==0.3.1\nexceptiongroup==1.2.2\nexecnet==2.1.1\nexecuting==2.2.0\nfastjsonschema==2.21.1\nflasgger==0.9.7.1\nFlask==3.1.0\nfolium==0.19.5\nfonttools==4.56.0\nfqdn==1.5.1\ngeojson==3.2.0\ngrpcio==1.71.0\nh11==0.14.0\nhttpcore==1.0.7\nhttpx==0.28.1\nidna==3.10\nimageio==2.37.0\nimportlib_metadata==8.6.1\nimportlib_resources==6.5.2\niniconfig==2.1.0\nipykernel==6.29.5\nipyleaflet==0.19.2\nipython==8.18.1\nipywidgets==8.1.5\nisoduration==20.11.0\nitsdangerous==2.2.0\njedi==0.19.2\nJinja2==3.1.6\njmespath==1.0.1\njson5==0.10.0\njsonpath-ng==1.7.0\njsonpointer==3.0.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\njupyter==1.1.1\njupyter-console==6.6.3\njupyter-events==0.12.0\njupyter-leaflet==0.19.2\njupyter-lsp==2.2.5\njupyter_client==8.6.3\njupyter_core==5.7.2\njupyter_server==2.15.0\njupyter_server_terminals==0.5.3\njupyterlab==4.3.6\njupyterlab_pygments==0.3.0\njupyterlab_server==2.27.3\njupyterlab_widgets==3.0.13\nkiwisolver==1.4.7\nlxml==5.3.1\nMarkdown==3.7\nMarkupSafe==3.0.2\nmatplotlib==3.9.4\nmatplotlib-inline==0.1.7\nmistune==3.1.3\nnbclient==0.10.2\nnbconvert==7.16.6\nnbformat==5.10.4\nnest-asyncio==1.6.0\nnotebook==7.3.3\nnotebook_shim==0.2.4\nnumpy==2.0.2\noverrides==7.7.0\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\npandocfilters==1.5.1\nparso==0.8.4\npexpect==4.9.0\npillow==11.1.0\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\nprometheus_client==0.21.1\nprompt_toolkit==3.0.50\nprotobuf==3.20.0\npsutil==7.0.0\nptyprocess==0.7.0\npure_eval==0.2.3\npycparser==2.22\nPygments==2.19.1\npyparsing==3.2.3\npyproj==3.6.1\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-json-logger==3.3.0\npytz==2025.2\nPyYAML==6.0.2\npyzmq==26.3.0\nrasterio==1.4.3\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrfc3339-validator==0.1.4\nrfc3986-validator==0.1.1\nrioxarray==0.15.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSend2Trash==1.8.3\nshapely==2.0.7\nsix==1.17.0\nsniffio==1.3.1\nsoupsieve==2.6\nstack-data==0.6.3\nterminado==0.18.1\ntinycss2==1.4.0\ntomli==2.2.1\ntornado==6.4.2\ntqdm==4.67.1\ntraitlets==5.14.3\ntraittypes==0.2.1\ntypes-python-dateutil==2.9.0.20241206\ntyping_extensions==4.13.0\ntzdata==2025.2\nuri-template==1.3.0\nurllib3==1.26.20\nusgs==0.3.5\nwcwidth==0.2.13\nwebcolors==24.11.1\nwebencodings==0.5.1\nwebsocket-client==1.8.0\nWerkzeug==3.1.3\nWhoosh==2.7.4\nwidgetsnbextension==4.0.13\nxarray==2024.7.0\nxyzservices==2025.1.0\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - affine==2.4.0\n - anyio==4.9.0\n - argon2-cffi==23.1.0\n - argon2-cffi-bindings==21.2.0\n - arrow==1.3.0\n - asttokens==3.0.0\n - async-lru==2.0.5\n - attrs==25.3.0\n - babel==2.17.0\n - beautifulsoup4==4.13.3\n - bleach==6.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - branca==0.8.1\n - certifi==2025.1.31\n - cffi==1.17.1\n - charset-normalizer==3.4.1\n - click==8.1.8\n - click-plugins==1.1.1\n - cligj==0.7.2\n - comm==0.2.2\n - contourpy==1.3.0\n - coverage==7.8.0\n - cycler==0.12.1\n - debugpy==1.8.13\n - decorator==5.2.1\n - defusedxml==0.7.1\n - ecmwf-api-client==1.6.5\n - eodag==2.5.3.dev15+g0a782d7f\n - eodag-cube==0.3.1\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - executing==2.2.0\n - fastjsonschema==2.21.1\n - flasgger==0.9.7.1\n - flask==3.1.0\n - folium==0.19.5\n - fonttools==4.56.0\n - fqdn==1.5.1\n - geojson==3.2.0\n - grpcio==1.71.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httpx==0.28.1\n - idna==3.10\n - imageio==2.37.0\n - importlib-metadata==8.6.1\n - importlib-resources==6.5.2\n - iniconfig==2.1.0\n - ipykernel==6.29.5\n - ipyleaflet==0.19.2\n - ipython==8.18.1\n - ipywidgets==8.1.5\n - isoduration==20.11.0\n - itsdangerous==2.2.0\n - jedi==0.19.2\n - jinja2==3.1.6\n - jmespath==1.0.1\n - json5==0.10.0\n - jsonpath-ng==1.7.0\n - jsonpointer==3.0.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - jupyter==1.1.1\n - jupyter-client==8.6.3\n - jupyter-console==6.6.3\n - jupyter-core==5.7.2\n - jupyter-events==0.12.0\n - jupyter-leaflet==0.19.2\n - jupyter-lsp==2.2.5\n - jupyter-server==2.15.0\n - jupyter-server-terminals==0.5.3\n - jupyterlab==4.3.6\n - jupyterlab-pygments==0.3.0\n - jupyterlab-server==2.27.3\n - jupyterlab-widgets==3.0.13\n - kiwisolver==1.4.7\n - lxml==5.3.1\n - markdown==3.7\n - markupsafe==3.0.2\n - matplotlib==3.9.4\n - matplotlib-inline==0.1.7\n - mistune==3.1.3\n - nbclient==0.10.2\n - nbconvert==7.16.6\n - nbformat==5.10.4\n - nest-asyncio==1.6.0\n - notebook==7.3.3\n - notebook-shim==0.2.4\n - numpy==2.0.2\n - overrides==7.7.0\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - pandocfilters==1.5.1\n - parso==0.8.4\n - pexpect==4.9.0\n - pillow==11.1.0\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - prometheus-client==0.21.1\n - prompt-toolkit==3.0.50\n - protobuf==3.20.0\n - psutil==7.0.0\n - ptyprocess==0.7.0\n - pure-eval==0.2.3\n - pycparser==2.22\n - pygments==2.19.1\n - pyparsing==3.2.3\n - pyproj==3.6.1\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-json-logger==3.3.0\n - pytz==2025.2\n - pyyaml==6.0.2\n - pyzmq==26.3.0\n - rasterio==1.4.3\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - rfc3339-validator==0.1.4\n - rfc3986-validator==0.1.1\n - rioxarray==0.15.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - send2trash==1.8.3\n - shapely==2.0.7\n - six==1.17.0\n - sniffio==1.3.1\n - soupsieve==2.6\n - stack-data==0.6.3\n - terminado==0.18.1\n - tinycss2==1.4.0\n - tomli==2.2.1\n - tornado==6.4.2\n - tqdm==4.67.1\n - traitlets==5.14.3\n - traittypes==0.2.1\n - types-python-dateutil==2.9.0.20241206\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - uri-template==1.3.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - wcwidth==0.2.13\n - webcolors==24.11.1\n - webencodings==0.5.1\n - websocket-client==1.8.0\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - widgetsnbextension==4.0.13\n - xarray==2024.7.0\n - xyzservices==2025.1.0\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_progress_bar"],"string":"[\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_progress_bar\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none"],"string":"[\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_delete_archive","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom"],"string":"[\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_delete_archive\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-490"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-490"}}},{"rowIdx":465,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-508"},"base_commit":{"kind":"string","value":"b57fc768c1a08e1e255b8fa44b3785255bc8ca23"},"created_at":{"kind":"string","value":"2022-09-16 17:00:19"},"environment_setup_commit":{"kind":"string","value":"158fac82232af978700e8f829bd5b7e227774a4c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 7m 14s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") -42s\n285 tests +3 282 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +3 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n570 runs +6 564 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +6 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 3ecaa30d. ± Comparison against base commit b57fc768.\n\n[test-results]:data:application/gzip;base64,H4sIAEmtJGMC/03MSw7CIBSF4a00jB1A4YK4GcOrCbEthseoce8iCnb4fyc5B1r86hK6TfNlQqn4PMKWqLIPe01GWYU65TZeodc9FWMazX96+GclOmBRfq2AB7gYQ/xJLPvnE0SPfgmcDfk+8t6nw9bnPxO2zecaiDqjFMUWrKaOEOHAMqs5cImVkASYdMA11uj1BtZO9fMFAQAA\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `83%` | :white_check_mark: |\n| eodag/plugins/apis/usgs.py | `79%` | :white_check_mark: |\n| eodag/plugins/download/base.py | `80%` | :white_check_mark: |\n| tests/units/test\\_apis\\_plugins.py | `98%` | :white_check_mark: |\n| tests/units/test\\_core.py | `98%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n| eodag/plugins/apis/usgs.py | `79%` | :white_check_mark: |\n| eodag/plugins/download/base.py | `80%` | :white_check_mark: |\n| tests/units/test\\_apis\\_plugins.py | `98%` | :white_check_mark: |\n| tests/units/test\\_core.py | `98%` | :white_check_mark: |\n| eodag/plugins/apis/usgs.py | `79%` | :white_check_mark: |\n| eodag/plugins/download/base.py | `80%` | :white_check_mark: |\n| tests/units/test\\_apis\\_plugins.py | `98%` | :white_check_mark: |\n| tests/units/test\\_core.py | `98%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 3ecaa30d5db3e117e5d4db65690a791549e56b0b </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/apis/usgs.py b/eodag/plugins/apis/usgs.py\nindex 5a7162bd..ecf1b113 100644\n--- a/eodag/plugins/apis/usgs.py\n+++ b/eodag/plugins/apis/usgs.py\n@@ -19,6 +19,7 @@ import copy\n import logging\n import shutil\n import tarfile\n+import zipfile\n \n import requests\n from jsonpath_ng.ext import parse\n@@ -35,7 +36,6 @@ from eodag.plugins.apis.base import Api\n from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_TIMEOUT,\n DEFAULT_DOWNLOAD_WAIT,\n- DEFAULT_STREAM_REQUESTS_TIMEOUT,\n Download,\n )\n from eodag.utils import (\n@@ -52,14 +52,11 @@ logger = logging.getLogger(\"eodag.plugins.apis.usgs\")\n class UsgsApi(Download, Api):\n \"\"\"A plugin that enables to query and download data on the USGS catalogues\"\"\"\n \n- def query(\n- self, product_type=None, items_per_page=None, page=None, count=True, **kwargs\n- ):\n- \"\"\"Search for data on USGS catalogues\"\"\"\n- product_type = kwargs.get(\"productType\")\n- if product_type is None:\n- return [], 0\n+ def authenticate(self):\n+ \"\"\"Login to usgs api\n \n+ :raises: :class:`~eodag.utils.exceptions.AuthenticationError`\n+ \"\"\"\n for i in range(2):\n try:\n api.login(\n@@ -77,6 +74,16 @@ class UsgsApi(Download, Api):\n \"Please check your USGS credentials.\"\n ) from None\n \n+ def query(\n+ self, product_type=None, items_per_page=None, page=None, count=True, **kwargs\n+ ):\n+ \"\"\"Search for data on USGS catalogues\"\"\"\n+ product_type = kwargs.get(\"productType\")\n+ if product_type is None:\n+ return [], 0\n+\n+ self.authenticate()\n+\n product_type_def_params = self.config.products.get(\n product_type, self.config.products[GENERIC_PRODUCT_TYPE]\n )\n@@ -108,8 +115,7 @@ class UsgsApi(Download, Api):\n else:\n lower_left, upper_right = None, None\n try:\n- results = api.scene_search(\n- usgs_dataset,\n+ api_search_kwargs = dict(\n start_date=start_date,\n end_date=end_date,\n ll=lower_left,\n@@ -117,6 +123,29 @@ class UsgsApi(Download, Api):\n max_results=items_per_page,\n starting_number=(1 + (page - 1) * items_per_page),\n )\n+ logger.info(\n+ f\"Sending search request for {usgs_dataset} with {api_search_kwargs}\"\n+ )\n+\n+ results = api.scene_search(usgs_dataset, **api_search_kwargs)\n+\n+ # update results with storage info from download_options()\n+ results_by_entity_id = {\n+ res[\"entityId\"]: res for res in results[\"data\"][\"results\"]\n+ }\n+ logger.debug(\n+ f\"Adapting {len(results_by_entity_id)} plugin results to eodag product representation\"\n+ )\n+ download_options = api.download_options(\n+ usgs_dataset, list(results_by_entity_id.keys())\n+ )\n+ if download_options.get(\"data\", None) is not None:\n+ for download_option in download_options[\"data\"]:\n+ if \"dds\" in download_option[\"downloadSystem\"]:\n+ results_by_entity_id[download_option[\"entityId\"]].update(\n+ download_option\n+ )\n+ results[\"data\"][\"results\"] = list(results_by_entity_id.values())\n \n # Same method as in base.py, Search.__init__()\n # Prepare the metadata mapping\n@@ -145,10 +174,9 @@ class UsgsApi(Download, Api):\n )\n except USGSError as e:\n logger.warning(\n- \"Product type %s does not exist on USGS EE catalog\",\n- usgs_dataset,\n+ f\"Product type {usgs_dataset} does not exist on USGS EE catalog\"\n )\n- logger.warning(\"Skipping error: %s\", e)\n+ logger.warning(f\"Skipping error: {e}\")\n api.logout()\n \n if final:\n@@ -160,7 +188,15 @@ class UsgsApi(Download, Api):\n \n return final, total_results\n \n- def download(self, product, auth=None, progress_callback=None, **kwargs):\n+ def download(\n+ self,\n+ product,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n \"\"\"Download data from USGS catalogues\"\"\"\n \n if progress_callback is None:\n@@ -169,130 +205,133 @@ class UsgsApi(Download, Api):\n )\n progress_callback = ProgressCallback(disable=True)\n \n+ outputs_extension = self.config.products.get(\n+ product.product_type, self.config.products[GENERIC_PRODUCT_TYPE]\n+ ).get(\"outputs_extension\", \".tar.gz\")\n+\n fs_path, record_filename = self._prepare_download(\n product,\n progress_callback=progress_callback,\n- outputs_extension=\".tar.gz\",\n- **kwargs\n+ outputs_extension=outputs_extension,\n+ **kwargs,\n )\n if not fs_path or not record_filename:\n if fs_path:\n product.location = path_to_uri(fs_path)\n return fs_path\n \n- try:\n- api.login(\n- getattr(self.config, \"credentials\", {}).get(\"username\", \"\"),\n- getattr(self.config, \"credentials\", {}).get(\"password\", \"\"),\n- save=True,\n+ self.authenticate()\n+\n+ if \"dds\" in product.properties.get(\"downloadSystem\", \"\"):\n+ raise NotAvailableError(\n+ f\"No USGS products found for {product.properties['id']}\"\n )\n- except USGSError:\n- raise AuthenticationError(\"Please check your USGS credentials.\") from None\n \n- download_options = api.download_options(\n- product.properties[\"productType\"], product.properties[\"id\"]\n+ download_request = api.download_request(\n+ product.properties[\"productType\"],\n+ product.properties[\"entityId\"],\n+ product.properties[\"productId\"],\n )\n \n+ req_urls = []\n try:\n- product_ids = [\n- p[\"id\"]\n- for p in download_options[\"data\"]\n- if p[\"downloadSystem\"] == \"dds\"\n- ]\n+ if len(download_request[\"data\"][\"preparingDownloads\"]) > 0:\n+ req_urls.extend(\n+ [x[\"url\"] for x in download_request[\"data\"][\"preparingDownloads\"]]\n+ )\n+ else:\n+ req_urls.extend(\n+ [x[\"url\"] for x in download_request[\"data\"][\"availableDownloads\"]]\n+ )\n except KeyError as e:\n raise NotAvailableError(\n- \"%s not found in %s's products\" % (e, product.properties[\"id\"])\n+ f\"{e} not found in {product.properties['id']} download_request\"\n )\n \n- if not product_ids:\n- raise NotAvailableError(\n- \"No USGS products found for %s\" % product.properties[\"id\"]\n- )\n-\n- req_urls = []\n- for product_id in product_ids:\n- download_request = api.download_request(\n- product.properties[\"productType\"], product.properties[\"id\"], product_id\n- )\n- try:\n- if len(download_request[\"data\"][\"preparingDownloads\"]) > 0:\n- req_urls.extend(\n- [\n- x[\"url\"]\n- for x in download_request[\"data\"][\"preparingDownloads\"]\n- ]\n- )\n- else:\n- req_urls.extend(\n- [\n- x[\"url\"]\n- for x in download_request[\"data\"][\"availableDownloads\"]\n- ]\n- )\n- except KeyError as e:\n- raise NotAvailableError(\n- \"%s not found in %s download_request\"\n- % (e, product.properties[\"id\"])\n- )\n-\n if len(req_urls) > 1:\n logger.warning(\n- \"%s usgs products found for %s. Only first will be downloaded\"\n- % (len(req_urls), product.properties[\"id\"])\n+ f\"{len(req_urls)} usgs products found for {product.properties['id']}. Only first will be downloaded\"\n )\n elif not req_urls:\n raise NotAvailableError(\n- \"No usgs request url was found for %s\" % product.properties[\"id\"]\n+ f\"No usgs request url was found for {product.properties['id']}\"\n )\n \n req_url = req_urls[0]\n progress_callback.reset()\n- with requests.get(\n- req_url,\n- stream=True,\n- timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n- ) as stream:\n+ logger.debug(f\"Downloading {req_url}\")\n+\n+ @self._download_retry(product, wait, timeout)\n+ def download_request(product, fs_path, progress_callback, **kwargs):\n try:\n- stream.raise_for_status()\n- except RequestException:\n- import traceback as tb\n+ with requests.get(\n+ req_url,\n+ stream=True,\n+ timeout=wait * 60,\n+ ) as stream:\n+ try:\n+ stream.raise_for_status()\n+ except RequestException:\n+ import traceback as tb\n \n- logger.error(\n- \"Error while getting resource :\\n%s\",\n- tb.format_exc(),\n- )\n- else:\n- stream_size = int(stream.headers.get(\"content-length\", 0))\n- progress_callback.reset(total=stream_size)\n- with open(fs_path, \"wb\") as fhandle:\n- for chunk in stream.iter_content(chunk_size=64 * 1024):\n- if chunk:\n- fhandle.write(chunk)\n- progress_callback(len(chunk))\n+ logger.error(\n+ f\"Error while getting resource :\\n{tb.format_exc()}\",\n+ )\n+ else:\n+ stream_size = int(stream.headers.get(\"content-length\", 0))\n+ progress_callback.reset(total=stream_size)\n+ with open(fs_path, \"wb\") as fhandle:\n+ for chunk in stream.iter_content(chunk_size=64 * 1024):\n+ if chunk:\n+ fhandle.write(chunk)\n+ progress_callback(len(chunk))\n+ except requests.exceptions.Timeout as e:\n+ raise NotAvailableError(str(e))\n+\n+ download_request(product, fs_path, progress_callback, **kwargs)\n \n with open(record_filename, \"w\") as fh:\n fh.write(product.properties[\"downloadLink\"])\n- logger.debug(\"Download recorded in %s\", record_filename)\n+ logger.debug(f\"Download recorded in {record_filename}\")\n \n api.logout()\n \n- # Check that the downloaded file is really a tar file\n- if not tarfile.is_tarfile(fs_path):\n+ # Check downloaded file format\n+ if (outputs_extension == \".tar.gz\" and tarfile.is_tarfile(fs_path)) or (\n+ outputs_extension == \".zip\" and zipfile.is_zipfile(fs_path)\n+ ):\n+ product_path = self._finalize(\n+ fs_path,\n+ progress_callback=progress_callback,\n+ outputs_extension=outputs_extension,\n+ **kwargs,\n+ )\n+ product.location = path_to_uri(product_path)\n+ return product_path\n+ elif tarfile.is_tarfile(fs_path):\n+ logger.info(\n+ \"Downloaded product detected as a tar File, but was was expected to be a zip file\"\n+ )\n+ new_fs_path = fs_path[: fs_path.index(outputs_extension)] + \".tar.gz\"\n+ shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n+ return new_fs_path\n+ elif zipfile.is_zipfile(fs_path):\n+ logger.info(\n+ \"Downloaded product detected as a zip File, but was was expected to be a tar file\"\n+ )\n+ new_fs_path = fs_path[: fs_path.index(outputs_extension)] + \".zip\"\n+ shutil.move(fs_path, new_fs_path)\n+ product.location = path_to_uri(new_fs_path)\n+ return new_fs_path\n+ else:\n logger.warning(\n- \"Downloaded product is not a tar File. Please check its file type before using it\"\n+ \"Downloaded product is not a tar or a zip File. Please check its file type before using it\"\n )\n- new_fs_path = fs_path[: fs_path.index(\".tar.gz\")]\n+ new_fs_path = fs_path[: fs_path.index(outputs_extension)]\n shutil.move(fs_path, new_fs_path)\n product.location = path_to_uri(new_fs_path)\n return new_fs_path\n- product_path = self._finalize(\n- fs_path,\n- progress_callback=progress_callback,\n- outputs_extension=\".tar.gz\",\n- **kwargs\n- )\n- product.location = path_to_uri(product_path)\n- return product_path\n \n def download_all(\n self,\n@@ -302,7 +341,7 @@ class UsgsApi(Download, Api):\n progress_callback=None,\n wait=DEFAULT_DOWNLOAD_WAIT,\n timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n- **kwargs\n+ **kwargs,\n ):\n \"\"\"\n Download all using parent (base plugin) method\n@@ -314,5 +353,5 @@ class UsgsApi(Download, Api):\n progress_callback=progress_callback,\n wait=wait,\n timeout=timeout,\n- **kwargs\n+ **kwargs,\n )\ndiff --git a/eodag/plugins/download/base.py b/eodag/plugins/download/base.py\nindex 10130749..d3bd7b6e 100644\n--- a/eodag/plugins/download/base.py\n+++ b/eodag/plugins/download/base.py\n@@ -81,7 +81,7 @@ class Download(PluginTopic):\n \n def __init__(self, provider, config):\n super(Download, self).__init__(provider, config)\n- self.authenticate = bool(getattr(self.config, \"authenticate\", False))\n+ self._authenticate = bool(getattr(self.config, \"authenticate\", False))\n \n def download(\n self,\n@@ -598,11 +598,14 @@ class Download(PluginTopic):\n )\n logger.debug(not_available_info)\n # Retry-After info from Response header\n- retry_server_info = self.stream.headers.get(\"Retry-After\", \"\")\n- if retry_server_info:\n- logger.debug(\n- f\"[{self.provider} response] Retry-After: {retry_server_info}\"\n+ if hasattr(self, \"stream\"):\n+ retry_server_info = self.stream.headers.get(\n+ \"Retry-After\", \"\"\n )\n+ if retry_server_info:\n+ logger.debug(\n+ f\"[{self.provider} response] Retry-After: {retry_server_info}\"\n+ )\n logger.info(retry_info)\n nb_info.display_html(retry_info)\n sleep(wait_seconds)\ndiff --git a/eodag/resources/product_types.yml b/eodag/resources/product_types.yml\nindex e453de30..96a4eb02 100644\n--- a/eodag/resources/product_types.yml\n+++ b/eodag/resources/product_types.yml\n@@ -187,6 +187,20 @@ LANDSAT_C2L1:\n title: Landsat Collection 2 Level-1 Product\n missionStartDate: \"1972-07-25T00:00:00Z\"\n \n+LANDSAT_C2L2:\n+ abstract: |\n+ Collection 2 Landsat OLI/TIRS Level-2 Science Products (L2SP) include\n+ Surface Reflectance and Surface Temperature scene-based products.\n+ instrument: OLI,TIRS\n+ platform: LANDSAT\n+ platformSerialIdentifier: L8,L9\n+ processingLevel: L1\n+ keywords: OLI,TIRS,LANDSAT,L8,L9,L2,C2,COLLECTION2\n+ sensorType: OPTICAL\n+ license: proprietary\n+ title: Landsat OLI and TIRS Collection 2 Level-2 Science Products 30-meter multispectral data.\n+ missionStartDate: \"2013-02-11T00:00:00Z\"\n+\n LANDSAT_C2L2_SR:\n abstract: |\n The Landsat Surface Reflectance (SR) product measures the fraction of incoming solar radiation that is reflected\n@@ -269,6 +283,101 @@ LANDSAT_C2L2ALB_TA:\n title: Landsat Collection 2 Level-2 Albers Top of Atmosphere (TA) Reflectance Product\n missionStartDate: \"1982-08-22T00:00:00Z\"\n \n+LANDSAT_TM_C1:\n+ abstract: |\n+ Landsat 4-5 TM image data files consist of seven spectral bands (See band designations).\n+ The resolution is 30 meters for bands 1 to 7.\n+ (Thermal infrared band 6 was collected at 120 meters, but was resampled to 30 meters.)\n+ The approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi).\n+ instrument: TM\n+ platform: LANDSAT\n+ platformSerialIdentifier: L4,L5\n+ processingLevel: L1\n+ keywords: TM,LANDSAT,L4,L5,L1,C1,COLLECTION1\n+ sensorType: OPTICAL\n+ license: proprietary\n+ title: Landsat 4-5 Thematic Mapper (TM) Collection-1 Level-1 Data Products\n+ missionStartDate: \"1982-08-22T00:00:00Z\"\n+ missionEndDate: \"2013-06-06T00:00:00Z\"\n+\n+LANDSAT_TM_C2L1:\n+ abstract: |\n+ Landsat 4-5 TM image data files consist of seven spectral bands (See band designations).\n+ The resolution is 30 meters for bands 1 to 7.\n+ (Thermal infrared band 6 was collected at 120 meters, but was resampled to 30 meters.)\n+ The approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi).\n+ instrument: TM\n+ platform: LANDSAT\n+ platformSerialIdentifier: L4,L5\n+ processingLevel: L1\n+ keywords: TM,LANDSAT,L4,L5,L1,C2,COLLECTION2\n+ sensorType: OPTICAL\n+ license: proprietary\n+ title: Landsat 4-5 Thematic Mapper (TM) Collection-2 Level-1 Data Products\n+ missionStartDate: \"1982-08-22T00:00:00Z\"\n+ missionEndDate: \"2013-06-06T00:00:00Z\"\n+\n+LANDSAT_TM_C2L2:\n+ abstract: |\n+ Collection 2 Landsat 4-5 Thematic Mapper (TM) Level-2 Science Products (L2SP) include\n+ Surface Reflectance and Surface Temperature scene-based products.\n+ instrument: TM\n+ platform: LANDSAT\n+ platformSerialIdentifier: L4,L5\n+ processingLevel: L2\n+ keywords: TM,LANDSAT,L4,L5,L2,C2,COLLECTION2\n+ sensorType: OPTICAL\n+ license: proprietary\n+ title: Landsat 4-5 Thematic Mapper (TM) Collection-2 Level-2 Data Products\n+ missionStartDate: \"1982-08-22T00:00:00Z\"\n+ missionEndDate: \"2013-06-06T00:00:00Z\"\n+\n+LANDSAT_ETM_C1:\n+ abstract: |\n+ Landsat 7 ETM+ images consist of eight spectral bands with a spatial resolution of 30 meters for bands 1 to 7.\n+ The panchromatic band 8 has a resolution of 15 meters. All bands can collect one of two gain settings (high or low)\n+ for increased radiometric sensitivity and dynamic range, while Band 6 collects both high and low gain for all\n+ scenes. Approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi).\n+ instrument: ETM+\n+ platform: LANDSAT\n+ platformSerialIdentifier: L7\n+ processingLevel: L1\n+ keywords: ETM,ETM+,LANDSAT,L7,L1,C1,COLLECTION1\n+ sensorType: OPTICAL\n+ license: proprietary\n+ title: Enhanced Thematic Mapper Plus (ETM+) 15- to 30-meter multispectral Collection-1 Level-1 data from Landsat 7\n+ missionStartDate: \"1999-04-15T00:00:00Z\"\n+\n+LANDSAT_ETM_C2L1:\n+ abstract: |\n+ Landsat 7 ETM+ images consist of eight spectral bands with a spatial resolution of 30 meters for bands 1 to 7.\n+ The panchromatic band 8 has a resolution of 15 meters. All bands can collect one of two gain settings (high or low)\n+ for increased radiometric sensitivity and dynamic range, while Band 6 collects both high and low gain for all\n+ scenes. Approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi).\n+ instrument: ETM+\n+ platform: LANDSAT\n+ platformSerialIdentifier: L7\n+ processingLevel: L1\n+ keywords: ETM,ETM+,LANDSAT,L7,L1,C2,COLLECTION2\n+ sensorType: OPTICAL\n+ license: proprietary\n+ title: Enhanced Thematic Mapper Plus (ETM+) 15- to 30-meter multispectral Collection-2 Level-1 data from Landsat 7\n+ missionStartDate: \"1999-04-15T00:00:00Z\"\n+\n+LANDSAT_ETM_C2L2:\n+ abstract: |\n+ Collection 2 Landsat 7 ETM+ Level-2 Science Products (L2SP) include Surface Reflectance and Surface Temperature\n+ scene-based products.\n+ instrument: ETM+\n+ platform: LANDSAT\n+ platformSerialIdentifier: L7\n+ processingLevel: L2\n+ keywords: ETM,ETM+,LANDSAT,L7,L2,C2,COLLECTION2\n+ sensorType: OPTICAL\n+ license: proprietary\n+ title: Enhanced Thematic Mapper Plus (ETM+) 15- to 30-meter multispectral Collection-2 Level-2 data from Landsat 7\n+ missionStartDate: \"1999-04-15T00:00:00Z\"\n+\n # MODIS -----------------------------------------------------------------------\n MODIS_MCD43A4:\n abstract: |\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 7094127f..1f60a8a3 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -31,7 +31,7 @@\n max_items_per_page: 5000\n total_items_nb_key_path: '$.totalHits'\n metadata_mapping:\n- id: '$.entityId'\n+ id: '$.displayId'\n geometry: '$.spatialBounds'\n productType: '$.productType'\n title: '$.displayId'\n@@ -39,15 +39,49 @@\n cloudCover: '$.cloudCover'\n startTimeFromAscendingNode: '$.temporalCoverage.startDate'\n completionTimeFromAscendingNode: '$.temporalCoverage.endDate'\n- quicklook: '$.browse[0].thumbnailPath'\n- # storageStatus set to ONLINE for consistency between providers\n- storageStatus: '{$.null#replace_str(\"Not Available\",\"ONLINE\")}'\n- downloadLink: 'https://dds.cr.usgs.gov/{id}'\n+ publicationDate: '$.publishDate'\n+ thumbnail: '$.browse[0].thumbnailPath'\n+ quicklook: '$.browse[0].browsePath'\n+ storageStatus: '{$.available#get_group_name((?P<ONLINE>True)|(?P<OFFLINE>False))}'\n+ downloadLink: 'https://earthexplorer.usgs.gov/download/external/options/{productType}/{entityId}/M2M/'\n+ # metadata needed for download\n+ entityId: '$.entityId'\n+ productId: '$.id'\n extract: True\n+ order_enabled: true\n products:\n- # datasets list http://kapadia.github.io/usgs/_sources/reference/catalog/ee.txt\n+ # datasets list http://kapadia.github.io/usgs/_sources/reference/catalog/ee.txt may be outdated\n+ # see also https://dds.cr.usgs.gov/ee-data/coveragemaps/shp/ee/\n L8_OLI_TIRS_C1L1:\n dataset: LANDSAT_8_C1\n+ outputs_extension: .tar.gz\n+ LANDSAT_C2L1:\n+ dataset: landsat_ot_c2_l1\n+ outputs_extension: .tar.gz\n+ LANDSAT_C2L2:\n+ dataset: landsat_ot_c2_l2\n+ outputs_extension: .tar.gz\n+ LANDSAT_TM_C1:\n+ dataset: landsat_tm_c1\n+ outputs_extension: .tar.gz\n+ LANDSAT_TM_C2L1:\n+ dataset: landsat_tm_c2_l1\n+ outputs_extension: .tar.gz\n+ LANDSAT_TM_C2L2:\n+ dataset: landsat_tm_c2_l2\n+ outputs_extension: .tar.gz\n+ LANDSAT_ETM_C1:\n+ dataset: landsat_etm_c1\n+ outputs_extension: .tar.gz\n+ LANDSAT_ETM_C2L1:\n+ dataset: landsat_etm_c2_l1\n+ outputs_extension: .tar.gz\n+ LANDSAT_ETM_C2L2:\n+ dataset: landsat_etm_c2_l2\n+ outputs_extension: .tar.gz\n+ S2_MSI_L1C:\n+ dataset: SENTINEL_2A\n+ outputs_extension: .zip\n GENERIC_PRODUCT_TYPE:\n dataset: '{productType}'\n \n"},"problem_statement":{"kind":"string","value":"Add S2_MSI_L1C productType to the USGS provider\nWhen trying to download Sentinel2 images using the USGS provider, the \"S2_MSI_L1C\" product type is not recognized, even though it is available using the earth explorer website.\r\n\r\nIt would be great to add this one (and more precisely in my case I'd like that because I only got a bunch of failure when trying to do that using the peps provider...)."},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex cb294dfd..1428ddf0 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -52,7 +52,11 @@ from eodag.plugins.crunch.filter_latest_tpl_name import FilterLatestByName\n from eodag.plugins.crunch.filter_property import FilterProperty\n from eodag.plugins.crunch.filter_overlap import FilterOverlap\n from eodag.plugins.download.aws import AwsDownload\n-from eodag.plugins.download.base import Download, DEFAULT_STREAM_REQUESTS_TIMEOUT\n+from eodag.plugins.download.base import (\n+ Download,\n+ DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ DEFAULT_DOWNLOAD_WAIT,\n+)\n from eodag.plugins.download.http import HTTPDownload\n from eodag.plugins.manager import PluginManager\n from eodag.plugins.search.base import Search\n@@ -83,3 +87,4 @@ from eodag.utils.exceptions import (\n )\n from eodag.utils.stac_reader import fetch_stac_items, HTTP_REQ_TIMEOUT\n from tests import TESTS_DOWNLOAD_PATH, TEST_RESOURCES_PATH\n+from usgs.api import USGSAuthExpiredError, USGSError\ndiff --git a/tests/units/test_apis_plugins.py b/tests/units/test_apis_plugins.py\nindex d9b4304c..2e2b2980 100644\n--- a/tests/units/test_apis_plugins.py\n+++ b/tests/units/test_apis_plugins.py\n@@ -21,13 +21,23 @@ import unittest\n from tempfile import TemporaryDirectory\n from unittest import mock\n \n+import responses\n from ecmwfapi.api import ANONYMOUS_APIKEY_VALUES\n+from shapely.geometry import shape\n \n from tests.context import (\n+ DEFAULT_DOWNLOAD_WAIT,\n+ ONLINE_STATUS,\n+ AuthenticationError,\n EODataAccessGateway,\n+ EOProduct,\n+ NotAvailableError,\n PluginManager,\n SearchResult,\n+ USGSAuthExpiredError,\n+ USGSError,\n ValidationError,\n+ get_geometry_from_various,\n load_default_config,\n parse_qsl,\n path_to_uri,\n@@ -317,3 +327,251 @@ class TestApisPluginEcmwfApi(BaseApisPluginTest):\n )\n assert mock_ecmwfdataserver_retrieve.call_count == 2\n assert len(paths) == 2\n+\n+\n+class TestApisPluginUsgsApi(BaseApisPluginTest):\n+ def setUp(self):\n+ self.provider = \"usgs\"\n+ self.api_plugin = self.get_search_plugin(provider=self.provider)\n+\n+ @mock.patch(\"usgs.api.login\", autospec=True)\n+ @mock.patch(\"usgs.api.logout\", autospec=True)\n+ def test_plugins_apis_usgs_authenticate(self, mock_api_logout, mock_api_login):\n+ \"\"\"UsgsApi.authenticate must return try to login\"\"\"\n+ # no credential\n+ self.api_plugin.authenticate()\n+ mock_api_login.assert_called_once_with(\"\", \"\", save=True)\n+ mock_api_logout.assert_not_called()\n+ mock_api_login.reset_mock()\n+\n+ # with credentials\n+ self.api_plugin.config.credentials = {\n+ \"username\": \"foo\",\n+ \"password\": \"bar\",\n+ }\n+ self.api_plugin.authenticate()\n+ mock_api_login.assert_called_once_with(\"foo\", \"bar\", save=True)\n+ mock_api_logout.assert_not_called()\n+ mock_api_login.reset_mock()\n+\n+ # with USGSAuthExpiredError\n+ mock_api_login.side_effect = [USGSAuthExpiredError(), None]\n+ self.api_plugin.authenticate()\n+ self.assertEqual(mock_api_login.call_count, 2)\n+ self.assertEqual(mock_api_logout.call_count, 1)\n+ mock_api_login.reset_mock()\n+ mock_api_logout.reset_mock()\n+\n+ # with invalid credentials / USGSError\n+ mock_api_login.side_effect = USGSError()\n+ with self.assertRaises(AuthenticationError):\n+ self.api_plugin.authenticate()\n+ self.assertEqual(mock_api_login.call_count, 1)\n+ mock_api_logout.assert_not_called()\n+\n+ @mock.patch(\"usgs.api.login\", autospec=True)\n+ @mock.patch(\"usgs.api.logout\", autospec=True)\n+ @mock.patch(\n+ \"usgs.api.scene_search\",\n+ autospec=True,\n+ return_value={\n+ \"data\": {\n+ \"results\": [\n+ {\n+ \"browse\": [\n+ {\n+ \"browsePath\": \"https://path/to/quicklook.jpg\",\n+ \"thumbnailPath\": \"https://path/to/thumbnail.jpg\",\n+ },\n+ {},\n+ {},\n+ ],\n+ \"cloudCover\": \"77.46\",\n+ \"entityId\": \"LC81780382020041LGN00\",\n+ \"displayId\": \"LC08_L1GT_178038_20200210_20200224_01_T2\",\n+ \"spatialBounds\": {\n+ \"type\": \"Polygon\",\n+ \"coordinates\": [\n+ [\n+ [28.03905, 30.68073],\n+ [28.03905, 32.79057],\n+ [30.46294, 32.79057],\n+ [30.46294, 30.68073],\n+ [28.03905, 30.68073],\n+ ]\n+ ],\n+ },\n+ \"temporalCoverage\": {\n+ \"endDate\": \"2020-02-10 00:00:00\",\n+ \"startDate\": \"2020-02-10 00:00:00\",\n+ },\n+ \"publishDate\": \"2020-02-10 08:24:46\",\n+ },\n+ ],\n+ \"recordsReturned\": 5,\n+ \"totalHits\": 139,\n+ \"startingNumber\": 6,\n+ \"nextRecord\": 11,\n+ }\n+ },\n+ )\n+ @mock.patch(\n+ \"usgs.api.download_options\",\n+ autospec=True,\n+ return_value={\n+ \"data\": [\n+ {\n+ \"id\": \"5e83d0b8e7f6734c\",\n+ \"entityId\": \"LC81780382020041LGN00\",\n+ \"available\": True,\n+ \"filesize\": 9186067,\n+ \"productName\": \"LandsatLook Natural Color Image\",\n+ \"downloadSystem\": \"dds\",\n+ },\n+ {\n+ \"entityId\": \"LC81780382020041LGN00\",\n+ \"available\": False,\n+ \"downloadSystem\": \"wms\",\n+ },\n+ ]\n+ },\n+ )\n+ def test_plugins_apis_usgs_query(\n+ self,\n+ mock_api_download_options,\n+ mock_api_scene_search,\n+ mock_api_logout,\n+ mock_api_login,\n+ ):\n+ \"\"\"UsgsApi.query must search using usgs api\"\"\"\n+\n+ search_kwargs = {\n+ \"productType\": \"L8_OLI_TIRS_C1L1\",\n+ \"startTimeFromAscendingNode\": \"2020-02-01\",\n+ \"completionTimeFromAscendingNode\": \"2020-02-10\",\n+ \"geometry\": get_geometry_from_various(geometry=[10, 20, 30, 40]),\n+ \"items_per_page\": 5,\n+ \"page\": 2,\n+ }\n+ search_results, total_count = self.api_plugin.query(**search_kwargs)\n+ mock_api_scene_search.assert_called_once_with(\n+ \"LANDSAT_8_C1\",\n+ start_date=\"2020-02-01\",\n+ end_date=\"2020-02-10\",\n+ ll={\"longitude\": 10.0, \"latitude\": 20.0},\n+ ur={\"longitude\": 30.0, \"latitude\": 40.0},\n+ max_results=5,\n+ starting_number=6,\n+ )\n+ self.assertEqual(search_results[0].provider, \"usgs\")\n+ self.assertEqual(search_results[0].product_type, \"L8_OLI_TIRS_C1L1\")\n+ self.assertEqual(\n+ search_results[0].geometry,\n+ shape(\n+ mock_api_scene_search.return_value[\"data\"][\"results\"][0][\n+ \"spatialBounds\"\n+ ]\n+ ),\n+ )\n+ self.assertEqual(\n+ search_results[0].properties[\"id\"],\n+ mock_api_scene_search.return_value[\"data\"][\"results\"][0][\"displayId\"],\n+ )\n+ self.assertEqual(\n+ search_results[0].properties[\"cloudCover\"],\n+ float(\n+ mock_api_scene_search.return_value[\"data\"][\"results\"][0][\"cloudCover\"]\n+ ),\n+ )\n+ self.assertEqual(search_results[0].properties[\"storageStatus\"], ONLINE_STATUS)\n+ self.assertEqual(\n+ total_count, mock_api_scene_search.return_value[\"data\"][\"totalHits\"]\n+ )\n+\n+ @mock.patch(\"usgs.api.login\", autospec=True)\n+ @mock.patch(\"usgs.api.logout\", autospec=True)\n+ @mock.patch(\"usgs.api.download_request\", autospec=True)\n+ def test_plugins_apis_usgs_download(\n+ self,\n+ mock_api_download_request,\n+ mock_api_logout,\n+ mock_api_login,\n+ ):\n+ \"\"\"UsgsApi.download must donwload using usgs api\"\"\"\n+\n+ @responses.activate\n+ def run():\n+\n+ product = EOProduct(\n+ \"peps\",\n+ dict(\n+ geometry=\"POINT (0 0)\",\n+ title=\"dummy_product\",\n+ id=\"dummy\",\n+ entityId=\"dummyEntityId\",\n+ productId=\"dummyProductId\",\n+ productType=\"L8_OLI_TIRS_C1L1\",\n+ ),\n+ )\n+ product.location = product.remote_location = product.properties[\n+ \"downloadLink\"\n+ ] = \"http://somewhere\"\n+ product.properties[\"id\"] = \"someproduct\"\n+\n+ responses.add(\n+ responses.GET,\n+ \"http://path/to/product\",\n+ status=200,\n+ content_type=\"application/octet-stream\",\n+ body=b\"something\",\n+ auto_calculate_content_length=True,\n+ match=[\n+ responses.matchers.request_kwargs_matcher(\n+ dict(stream=True, timeout=DEFAULT_DOWNLOAD_WAIT * 60)\n+ )\n+ ],\n+ )\n+\n+ # missing download_request return value\n+ with self.assertRaises(NotAvailableError):\n+ self.api_plugin.download(product, outputs_prefix=self.tmp_home_dir.name)\n+\n+ # download 1 available product\n+ mock_api_download_request.return_value = {\n+ \"data\": {\"preparingDownloads\": [{\"url\": \"http://path/to/product\"}]}\n+ }\n+\n+ path = self.api_plugin.download(\n+ product, outputs_prefix=self.tmp_home_dir.name\n+ )\n+\n+ self.assertEqual(len(responses.calls), 1)\n+ responses.calls.reset()\n+\n+ self.assertEqual(\n+ path, os.path.join(self.tmp_home_dir.name, \"dummy_product\")\n+ )\n+ self.assertTrue(os.path.isfile(path))\n+\n+ # check file extension\n+ # tar\n+ os.remove(path)\n+ with mock.patch(\"tarfile.is_tarfile\", return_value=True, autospec=True):\n+ path = self.api_plugin.download(\n+ product, outputs_prefix=self.tmp_home_dir.name, extract=False\n+ )\n+ self.assertEqual(\n+ path, os.path.join(self.tmp_home_dir.name, \"dummy_product.tar.gz\")\n+ )\n+ # zip\n+ os.remove(path)\n+ product.product_type = \"S2_MSI_L1C\"\n+ with mock.patch(\"zipfile.is_zipfile\", return_value=True, autospec=True):\n+ path = self.api_plugin.download(\n+ product, outputs_prefix=self.tmp_home_dir.name, extract=False\n+ )\n+ self.assertEqual(\n+ path, os.path.join(self.tmp_home_dir.name, \"dummy_product.zip\")\n+ )\n+\n+ run()\ndiff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex edaac541..9df038b6 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -86,13 +86,20 @@ class TestCore(TestCoreBase):\n \"earth_search\",\n \"earth_search_gcs\",\n ],\n- \"LANDSAT_C2L1\": [\"usgs_satapi_aws\", \"astraea_eod\"],\n+ \"LANDSAT_C2L1\": [\"usgs_satapi_aws\", \"astraea_eod\", \"usgs\"],\n+ \"LANDSAT_C2L2\": [\"usgs\"],\n \"LANDSAT_C2L2_SR\": [\"usgs_satapi_aws\"],\n \"LANDSAT_C2L2_ST\": [\"usgs_satapi_aws\"],\n \"LANDSAT_C2L2ALB_BT\": [\"usgs_satapi_aws\"],\n \"LANDSAT_C2L2ALB_SR\": [\"usgs_satapi_aws\"],\n \"LANDSAT_C2L2ALB_ST\": [\"usgs_satapi_aws\"],\n \"LANDSAT_C2L2ALB_TA\": [\"usgs_satapi_aws\"],\n+ \"LANDSAT_TM_C1\": [\"usgs\"],\n+ \"LANDSAT_TM_C2L1\": [\"usgs\"],\n+ \"LANDSAT_TM_C2L2\": [\"usgs\"],\n+ \"LANDSAT_ETM_C1\": [\"usgs\"],\n+ \"LANDSAT_ETM_C2L1\": [\"usgs\"],\n+ \"LANDSAT_ETM_C2L2\": [\"usgs\"],\n \"S1_SAR_GRD\": [\n \"peps\",\n \"sobloo\",\n@@ -130,6 +137,7 @@ class TestCore(TestCoreBase):\n \"astraea_eod\",\n \"earth_search\",\n \"earth_search_gcs\",\n+ \"usgs\",\n ],\n \"S3_ERR\": [\"onda\", \"creodias\"],\n \"S3_EFR\": [\"onda\", \"creodias\"],\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 3,\n \"issue_text_score\": 1,\n \"test_score\": 3\n },\n \"num_modified_files\": 4\n}"},"version":{"kind":"string","value":"2.5"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@b57fc768c1a08e1e255b8fa44b3785255bc8ca23#egg=eodag\nexceptiongroup==1.2.2\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==4.1.1\npytest-metadata==3.1.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.5.3.dev27+gb57fc768\n - exceptiongroup==1.2.2\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==4.1.1\n - pytest-metadata==3.1.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list 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::test__prepare_search_product_type_provided","tests/units/test_core.py::TestCoreSearch::test__prepare_search_remove_guess_kwargs","tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_generic_product_properties","tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_known_product_properties","tests/units/test_core.py::TestCoreSearch::test__prepare_search_with_id","tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit","tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs","tests/units/test_core.py::TestCoreSearch::test_guess_product_type_without_kwargs","tests/units/test_core.py::TestCoreSearch::test_search_all_must_collect_them_all","tests/units/test_core.py::TestCoreSearch::test_search_all_use_default_value","tests/units/test_core.py::TestCoreSearch::test_search_all_use_max_items_per_page","tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism","tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator"],"string":"[\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_authenticate\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download_all\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_mandatory_params_missing\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_with_custom_producttype\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_with_producttype\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_without_producttype\",\n \"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found\",\n \"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists\",\n \"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config\",\n \"tests/units/test_core.py::TestCore::test_discover_product_types\",\n \"tests/units/test_core.py::TestCore::test_fetch_product_types_list\",\n \"tests/units/test_core.py::TestCore::test_fetch_product_types_list_disabled\",\n \"tests/units/test_core.py::TestCore::test_fetch_product_types_list_updated_system_conf\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_fetch_providers\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_for_unsupported_provider\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_ok\",\n \"tests/units/test_core.py::TestCore::test_prune_providers_list\",\n \"tests/units/test_core.py::TestCore::test_rebuild_index\",\n \"tests/units/test_core.py::TestCore::test_supported_product_types_in_unit_test\",\n \"tests/units/test_core.py::TestCore::test_supported_providers_in_unit_test\",\n \"tests/units/test_core.py::TestCore::test_update_product_types_list\",\n \"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_config_file_in_envvar\",\n \"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_locations_file_in_envvar\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_config_standard_location\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_index_if_not_exist\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_locations_standard_location\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_locations_no_match_raises_error\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_locations_with_wrong_location_name_in_kwargs\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_locations_with_wrong_location_name_in_locations_dict\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_no_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_can_raise_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_counts_by_default\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_does_not_raise_by_default\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_doest_not_register_downloader_if_no_search_intersection\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_fuzzy_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_no_count_returned\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_null_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_query_products_must_be_a_list\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_register_downloader_if_search_intersection\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_support_itemsperpage_higher_than_maximum\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_without_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_dates\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_geom\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_locations\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_parameters\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_plugins_when_search_by_id\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_available\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_not_available\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_preserve_additional_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_guess_it\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_provided\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_remove_guess_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_generic_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_known_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_with_id\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_without_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_must_collect_them_all\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_default_value\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_max_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":466,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-524"},"base_commit":{"kind":"string","value":"58335e728fff5b98bd85b96fead271429773a593"},"created_at":{"kind":"string","value":"2022-10-11 13:31:50"},"environment_setup_commit":{"kind":"string","value":"29c1474e5016cd8158c890ec5210af2062c73a49"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 9m 44s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") +57s\n295 tests +2 292 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +2 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n590 runs +4 584 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +4 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit eaebc66c. ± Comparison against base commit 58335e72.\n\n[test-results]:data:application/gzip;base64,H4sIAEZyRWMC/03NSQ6DMAyF4augrLuAkIlepgomlqIyVBlWqHevGxrK8v8sPe8M/ewiuzf81rCYfTpjysEmv62U0ggCOqVyHGStR8wAhfifnv5F1J+A1s8E7QkuhC38JOT1uymHGnXy+HnIsahqXwZLX/dgWxafKJizbgSlQPeiVV2HWo04TD2OhgshWmkAkXPU7P0Bp8XO1QUBAAA=\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `83%` | :white_check_mark: |\n| eodag/plugins/download/aws.py | `48%` | :x: |\n| eodag/plugins/download/s3rest.py | `18%` | :x: |\n| eodag/utils/\\_\\_init\\_\\_.py | `89%` | :white_check_mark: |\n| tests/units/test\\_download\\_plugins.py | `95%` | :white_check_mark: |\n| tests/units/test\\_utils.py | `94%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `83%` | :white_check_mark: |\n| eodag/plugins/download/aws.py | `48%` | :x: |\n| eodag/plugins/download/s3rest.py | `18%` | :x: |\n| eodag/utils/\\_\\_init\\_\\_.py | `89%` | :white_check_mark: |\n| tests/units/test\\_download\\_plugins.py | `95%` | :white_check_mark: |\n| tests/units/test\\_utils.py | `94%` | :white_check_mark: |\n| eodag/plugins/download/aws.py | `48%` | :x: |\n| eodag/plugins/download/s3rest.py | `18%` | :x: |\n| eodag/utils/\\_\\_init\\_\\_.py | `88%` | :white_check_mark: |\n| tests/units/test\\_download\\_plugins.py | `94%` | :white_check_mark: |\n| tests/units/test\\_utils.py | `94%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against eaebc66c7340611f76bf9d3fb82444058cff22f7 </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex e27ffe9c..e5d9d2a9 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -34,7 +34,12 @@ from eodag.api.product.metadata_mapping import (\n properties_from_xml,\n )\n from eodag.plugins.download.base import Download\n-from eodag.utils import ProgressCallback, path_to_uri, rename_subfolder, urlparse\n+from eodag.utils import (\n+ ProgressCallback,\n+ get_bucket_name_and_prefix,\n+ path_to_uri,\n+ rename_subfolder,\n+)\n from eodag.utils.exceptions import AuthenticationError, DownloadError\n from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n \n@@ -601,22 +606,20 @@ class AwsDownload(Download):\n \"\"\"\n if not url:\n url = product.location\n- bucket, prefix = None, None\n- # Assume the bucket is encoded into the product location as a URL or given as the 'default_bucket' config\n- # param\n- scheme, netloc, path, params, query, fragment = urlparse(url)\n- if not scheme or scheme == \"s3\":\n+\n+ bucket_path_level = getattr(self.config, \"bucket_path_level\", None)\n+\n+ bucket, prefix = get_bucket_name_and_prefix(\n+ url=url, bucket_path_level=bucket_path_level\n+ )\n+\n+ if bucket is None:\n bucket = (\n- netloc\n- if netloc\n- else getattr(self.config, \"products\", {})\n+ getattr(self.config, \"products\", {})\n .get(product.product_type, {})\n .get(\"default_bucket\", \"\")\n )\n- prefix = path.strip(\"/\")\n- elif scheme in (\"http\", \"https\", \"ftp\"):\n- parts = path.split(\"/\")\n- bucket, prefix = parts[1], \"/{}\".format(\"/\".join(parts[2:]))\n+\n return bucket, prefix\n \n def check_manifest_file_list(self, product_path):\ndiff --git a/eodag/plugins/download/s3rest.py b/eodag/plugins/download/s3rest.py\nindex db92da7a..fa2d0f65 100644\n--- a/eodag/plugins/download/s3rest.py\n+++ b/eodag/plugins/download/s3rest.py\n@@ -27,10 +27,15 @@ import requests\n from requests import RequestException\n \n from eodag.api.product.metadata_mapping import OFFLINE_STATUS\n-from eodag.plugins.download.aws import AwsDownload\n-from eodag.plugins.download.base import DEFAULT_STREAM_REQUESTS_TIMEOUT\n+from eodag.plugins.download.base import DEFAULT_STREAM_REQUESTS_TIMEOUT, Download\n from eodag.plugins.download.http import HTTPDownload\n-from eodag.utils import ProgressCallback, path_to_uri, unquote, urljoin\n+from eodag.utils import (\n+ ProgressCallback,\n+ get_bucket_name_and_prefix,\n+ path_to_uri,\n+ unquote,\n+ urljoin,\n+)\n from eodag.utils.exceptions import (\n AuthenticationError,\n DownloadError,\n@@ -42,7 +47,7 @@ from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n logger = logging.getLogger(\"eodag.plugins.download.s3rest\")\n \n \n-class S3RestDownload(AwsDownload):\n+class S3RestDownload(Download):\n \"\"\"Http download on S3-like object storage location\n for example using Mundi REST API (free account)\n https://mundiwebservices.com/keystoneapi/uploads/documents/CWS-DATA-MUT-087-EN-Mundi_Download_v1.1.pdf#page=13\n@@ -78,7 +83,9 @@ class S3RestDownload(AwsDownload):\n progress_callback = ProgressCallback(disable=True)\n \n # get bucket urls\n- bucket_name, prefix = self.get_bucket_name_and_prefix(product)\n+ bucket_name, prefix = get_bucket_name_and_prefix(\n+ url=product.location, bucket_path_level=self.config.bucket_path_level\n+ )\n \n if (\n bucket_name is None\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 0302a9b2..df79e7aa 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1261,7 +1261,7 @@\n url: https://mundiwebservices.com/\n search: !plugin\n type: QueryStringSearch\n- api_endpoint: 'https://mundiwebservices.com/acdc/catalog/proxy/search/{collection}/opensearch'\n+ api_endpoint: 'https://{collection}.browse.catalog.mundiwebservices.com/opensearch'\n need_auth: false\n result_type: 'xml'\n results_entry: '//ns:entry'\n@@ -1390,6 +1390,7 @@\n base_uri: 'https://mundiwebservices.com/dp'\n extract: true\n auth_error_code: 401\n+ bucket_path_level: 0\n auth: !plugin\n type: HTTPHeaderAuth\n headers:\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex de74e38b..40234376 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -1028,3 +1028,33 @@ def cached_parse(str_to_parse):\n :rtype: :class:`jsonpath_ng.JSONPath`\n \"\"\"\n return parse(str_to_parse)\n+\n+\n+def get_bucket_name_and_prefix(url=None, bucket_path_level=None):\n+ \"\"\"Extract bucket name and prefix from URL\n+\n+ :param url: (optional) URL to use as product.location\n+ :type url: str\n+ :param bucket_path_level: (optional) bucket location index in path.split('/')\n+ :type bucket_path_level: int\n+ :returns: bucket_name and prefix as str\n+ :rtype: tuple\n+ \"\"\"\n+ bucket, prefix = None, None\n+\n+ scheme, netloc, path, params, query, fragment = urlparse(url)\n+ subdomain = netloc.split(\".\")[0]\n+ path = path.strip(\"/\")\n+\n+ if scheme and bucket_path_level is None:\n+ bucket = subdomain\n+ prefix = path\n+ elif not scheme and bucket_path_level is None:\n+ prefix = path\n+ elif bucket_path_level is not None:\n+ parts = path.split(\"/\")\n+ bucket, prefix = parts[bucket_path_level], \"/\".join(\n+ parts[(bucket_path_level + 1) :]\n+ )\n+\n+ return bucket, prefix\n"},"problem_statement":{"kind":"string","value":"Capella Bucket Download issue\n**Bucket Issue**\r\nHi there, I'm trying to download Capella's Open data from \r\n[this stac index]](https://www.stacindex.org/catalogs/capella-space-open-data#/BrVjRL9LGRjg8ipuaKLhdHr1kD4sbvyd8QTYGwbMTTtkR4fzPd4yeiApxyrQkiq/LGziSG3zruu42mUQkBqrXkRPLdBZyfQ9WBqmakLW8v6Q2jtwGXLNgDPJyeVfFR6XkZHa8qL5E75MA6d8vzhnxgNLQVUuVFNrq?t=2).\r\nBut I got a \"NoSuchKey\" error from the \"bucket_name\" = \"data\"\r\n\r\nI tried unsuccesfull workarounds... If someone got an idea, it's very welcome.\r\n\r\nThanks, and thanks a lot EOdag devs!\r\nAri\r\n\r\n**Code To Reproduce**\r\n\r\n```py\r\nfrom eodag import setup_logging\r\nsetup_logging(verbose=3)\r\n\r\nfrom eodag.api.core import EODataAccessGateway\r\n\r\n# Create an EODAG custom STAC provider\r\ndag = EODataAccessGateway()\r\n\r\n# Add the custom STAC provider + output + login an password\r\ncatalog_path = \"https://capella-open-data.s3.us-west-2.amazonaws.com/stac/capella-open-data-by-product-type/capella-open-data-slc/collection.json\"\r\n# catalog_path = 'https://capella-open-data.s3.us-west-2.amazonaws.com/stac/catalog.json'\r\nbase_uri = \"https://capella-open-data.s3.us-west-2.amazonaws.com\"\r\noutputs_prefix = r\"D:\\Radar\\data\\EODAG\"\r\naws_access_key_id = \"change_me\"\r\naws_secret_access_key = \"change_me\"\r\n\r\n\r\ndag.update_providers_config(\"\"\"\r\ncapella:\r\n search:\r\n type: StaticStacSearch\r\n api_endpoint: %s\r\n products:\r\n GENERIC_PRODUCT_TYPE:\r\n productType: '{productType}'\r\n download:\r\n type: AwsDownload\r\n base_uri: %s\r\n flatten_top_dirs: True\r\n outputs_prefix: %s\r\n auth:\r\n type: AwsAuth\r\n credentials:\r\n aws_access_key_id: %s\r\n aws_secret_access_key: %s\r\n\"\"\" % (catalog_path, base_uri, outputs_prefix, aws_access_key_id, aws_secret_access_key ))\r\n\r\n# # Set the custom STAC provider as preferred\r\ndag.set_preferred_provider(\"capella\")\r\n\r\n# Query every product from inside the catalog\r\n# all_products, _ = dag.search()\r\n\r\ncapella_prod, _ = dag.search(start=\"2021-12-01\", end=\"2021-12-15\", **{\"sar:product_type\": \"SLC\", \"sensorMode\": \"spotlight\"}) # , locations=dict(country=\"BRA\"), start=\"2021-01-01\", end=\"2020-05-30\", items_per_page=50)\r\n\r\n# [(key, asset[\"href\"]) for key, asset in capella_prod[0].assets.items()]\r\n\r\npaths = dag.download_all(capella_prod)\r\n\r\n```\r\n\r\n**TroubleShoot**\r\n```py\r\n2022-10-07 16:47:56,830 eodag.config [INFO ] (config ) Loading user configuration from: C:\\Users\\ajeannin\\.config\\eodag\\eodag.yml\r\n2022-10-07 16:47:56,923 eodag.core [INFO ] (core ) usgs: provider needing auth for search has been pruned because no crendentials could be found\r\n2022-10-07 16:47:56,923 eodag.core [INFO ] (core ) aws_eos: provider needing auth for search has been pruned because no crendentials could be found\r\n2022-10-07 16:47:57,010 eodag.core [DEBUG ] (core ) Opening product types index in C:\\Users\\ajeannin\\.config\\eodag\\.index\r\n2022-10-07 16:47:57,020 eodag.core [INFO ] (core ) Locations configuration loaded from C:\\Users\\ajeannin\\.config\\eodag\\locations.yml\r\n2022-10-07 16:47:57,022 eodag.config [INFO ] (config ) capella: unknown provider found in user conf, trying to use provided configuration\r\n2022-10-07 16:47:57,110 eodag.core [INFO ] (core ) No product type could be guessed with provided arguments\r\n2022-10-07 16:47:57,686 eodag.core [INFO ] (core ) Searching product type 'None' on provider: capella\r\n2022-10-07 16:47:57,686 eodag.core [DEBUG ] (core ) Using plugin class for search: StaticStacSearch\r\n2022-10-07 16:47:58,682 eodag.utils.stac_reader [DEBUG ] (stac_reader ) Fetching 125 items\r\n2022-10-07 16:47:58,683 eodag.utils.stac_reader [DEBUG ] (stac_reader ) read_local_json is not the right STAC opener\r\n2022-10-07 16:48:00,570 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Getting genric provider product type definition parameters for None\r\n2022-10-07 16:48:00,571 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Building the query string that will be used for search\r\n2022-10-07 16:48:00,571 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Retrieving queryable metadata from metadata_mapping\r\n2022-10-07 16:48:00,609 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Next page URL could not be collected\r\n2022-10-07 16:48:00,626 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Next page Query-object could not be collected\r\n2022-10-07 16:48:00,643 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Next page merge could not be collected\r\n2022-10-07 16:48:00,643 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Adapting 125 plugin results to eodag product representation\r\n2022-10-07 16:48:02,877 eodag.plugins.crunch.filter_date [DEBUG ] (filter_date ) Start filtering by date\r\n2022-10-07 16:48:02,893 eodag.plugins.crunch.filter_date [INFO ] (filter_date ) Finished filtering products. 4 resulting products\r\n2022-10-07 16:48:02,893 eodag.plugins.crunch.filter_overlap [DEBUG ] (filter_overlap ) Start filtering for overlapping products\r\n2022-10-07 16:48:02,893 eodag.plugins.crunch.filter_overlap [WARNING ] (filter_overlap ) geometry not found in cruncher arguments, filtering disabled.\r\n2022-10-07 16:48:02,893 eodag.plugins.crunch.filter_property [DEBUG ] (filter_property ) Start filtering for products matching operator.eq(product.properties['sar:product_type'], SLC)\r\n2022-10-07 16:48:02,893 eodag.plugins.crunch.filter_property [INFO ] (filter_property ) Finished filtering products. 4 resulting products\r\n2022-10-07 16:48:02,893 eodag.plugins.crunch.filter_property [DEBUG ] (filter_property ) Start filtering for products matching operator.eq(product.properties['sensorMode'], spotlight)\r\n2022-10-07 16:48:02,893 eodag.plugins.crunch.filter_property [INFO ] (filter_property ) Finished filtering products. 2 resulting products\r\n2022-10-07 16:48:02,898 eodag.core [INFO ] (core ) Found 2 result(s) on provider 'capella'\r\n2022-10-07 16:48:02,898 eodag.core [INFO ] (core ) Downloading 2 products\r\nDownloaded products: 0%| | 0/2 [00:00<?, ?product/s]\r\n0.00B [00:00, ?B/s]\r\nCAPELLA_C03_SP_SLC_HH_20211214232643_20211214232646: 0.00B [00:00, ?B/s]2022-10-07 16:48:02,900 eodag.plugins.download.base [INFO ] (base ) Download url: https://capella-open-data.s3.us-west-2.amazonaws.com/collections/capella-open-data-spotlight/items/CAPELLA_C03_SP_SLC_HH_20211214232643_20211214232646\r\n2022-10-07 16:48:03,847 eodag.plugins.download.aws [WARNING ] (aws ) Unexpected error: An error occurred (NoSuchKey) when calling the ListObjects operation: The specified key does not exist.\r\n2022-10-07 16:48:03,847 eodag.plugins.download.aws [WARNING ] (aws ) Skipping data//2021/12/14/CAPELLA_C03_SP_SLC_HH_20211214232643_20211214232646/CAPELLA_C03_SP_SLC_HH_20211214232643_20211214232646.tif\r\n2022-10-07 16:48:04,678 eodag.plugins.download.aws [WARNING ] (aws ) Unexpected error: An error occurred (NoSuchKey) when calling the ListObjects operation: The specified key does not exist.\r\n2022-10-07 16:48:04,678 eodag.plugins.download.aws [WARNING ] (aws ) Skipping data//2021/12/14/CAPELLA_C03_SP_SLC_HH_20211214232643_20211214232646/CAPELLA_C03_SP_SLC_HH_20211214232643_20211214232646_extended.json\r\n2022-10-07 16:48:05,496 eodag.plugins.download.aws [WARNING ] (aws ) Unexpected error: An error occurred (NoSuchKey) when calling the ListObjects operation: The specified key does not exist.\r\n2022-10-07 16:48:05,496 eodag.plugins.download.aws [WARNING ] (aws ) Skipping data//2021/12/14/CAPELLA_C03_SP_GEO_HH_20211214232633_20211214232656/CAPELLA_C03_SP_GEO_HH_20211214232633_20211214232656_preview.tif\r\n2022-10-07 16:48:06,301 eodag.plugins.download.aws [WARNING ] (aws ) Unexpected error: An error occurred (NoSuchKey) when calling the ListObjects operation: The specified key does not exist.\r\n2022-10-07 16:48:06,301 eodag.plugins.download.aws [WARNING ] (aws ) Skipping data//2021/12/14/CAPELLA_C03_SP_GEO_HH_20211214232633_20211214232656/CAPELLA_C03_SP_GEO_HH_20211214232633_20211214232656_thumb.png\r\n2022-10-07 16:48:06,302 eodag.plugins.download.base [ERROR ] (base ) Stopped because of credentials problems with provider capella\r\nTraceback (most recent call last):\r\n File \"C:\\Users\\ajeannin\\Anaconda3\\envs\\radar_dev\\lib\\site-packages\\eodag\\plugins\\download\\base.py\", line 456, in download_all\r\n product.download(\r\n File \"C:\\Users\\ajeannin\\Anaconda3\\envs\\radar_dev\\lib\\site-packages\\eodag\\api\\product\\_product.py\", line 288, in download\r\n fs_path = self.downloader.download(\r\n File \"C:\\Users\\ajeannin\\Anaconda3\\envs\\radar_dev\\lib\\site-packages\\eodag\\plugins\\download\\aws.py\", line 339, in download\r\n raise AuthenticationError(\", \".join(auth_error_messages))\r\neodag.utils.exceptions.AuthenticationError: An error occurred (NoSuchKey) when calling the ListObjects operation: The specified key does not exist.\r\nDownloaded products: 0%| | 0/2 [00:03<?, ?product/s]\r\nTraceback (most recent call last):\r\n File \"D:\\PythonCode\\radar_dev\\radar_dev\\utils.py\", line 48, in <module>\r\n paths = dag.download_all(capella_prod)\r\n File \"C:\\Users\\ajeannin\\Anaconda3\\envs\\radar_dev\\lib\\site-packages\\eodag\\api\\core.py\", line 1288, in download_all\r\n paths = download_plugin.download_all(\r\n File \"C:\\Users\\ajeannin\\Anaconda3\\envs\\radar_dev\\lib\\site-packages\\eodag\\plugins\\download\\aws.py\", line 920, in download_all\r\n return super(AwsDownload, self).download_all(\r\n File \"C:\\Users\\ajeannin\\Anaconda3\\envs\\radar_dev\\lib\\site-packages\\eodag\\plugins\\download\\base.py\", line 456, in download_all\r\n product.download(\r\n File \"C:\\Users\\ajeannin\\Anaconda3\\envs\\radar_dev\\lib\\site-packages\\eodag\\api\\product\\_product.py\", line 288, in download\r\n fs_path = self.downloader.download(\r\n File \"C:\\Users\\ajeannin\\Anaconda3\\envs\\radar_dev\\lib\\site-packages\\eodag\\plugins\\download\\aws.py\", line 339, in download\r\n raise AuthenticationError(\", \".join(auth_error_messages))\r\neodag.utils.exceptions.AuthenticationError: An error occurred (NoSuchKey) when calling the ListObjects operation: The specified key does not exist.\r\nCAPELLA_C03_SP_SLC_HH_20211214232643_20211214232646: 0.00B [00:03, ?B/s]\r\n\r\nProcess finished with exit code 1\r\n```\r\n\r\n**Environment:**\r\n - Conda version: 22.9.0\r\n - Python version: 3.7\r\n - EODAG version: `eodag version` tells me \r\n ```py\r\n (radar_dev) λ eodag version \r\neodag (Earth Observation Data Access Gateway): version 0.0.0\r\n```\r\nBut I think I got the 2.5.0 version as it is the latest on Conda env (should I open a new issue ?)\r\n\r\n\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex 1428ddf0..f23c149a 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -61,6 +61,7 @@ from eodag.plugins.download.http import HTTPDownload\n from eodag.plugins.manager import PluginManager\n from eodag.plugins.search.base import Search\n from eodag.utils import (\n+ get_bucket_name_and_prefix,\n get_geometry_from_various,\n get_timestamp,\n makedirs,\ndiff --git a/tests/units/test_download_plugins.py b/tests/units/test_download_plugins.py\nindex 40839b23..3b3c480b 100644\n--- a/tests/units/test_download_plugins.py\n+++ b/tests/units/test_download_plugins.py\n@@ -314,3 +314,40 @@ class TestDownloadPluginHttpRetry(BaseDownloadPluginTest):\n self.assertEqual(len(responses.calls), 1)\n \n run()\n+\n+\n+class TestDownloadPluginAws(BaseDownloadPluginTest):\n+ def setUp(self):\n+ super(TestDownloadPluginAws, self).setUp()\n+ self.product = EOProduct(\n+ \"astraea_eod\",\n+ dict(\n+ geometry=\"POINT (0 0)\",\n+ title=\"dummy_product\",\n+ id=\"dummy\",\n+ ),\n+ productType=\"S2_MSI_L2A\",\n+ )\n+\n+ def test_plugins_download_aws_get_bucket_prefix(self):\n+ \"\"\"AwsDownload.get_bucket_name_and_prefix() must extract bucket & prefix from location\"\"\"\n+\n+ plugin = self.get_download_plugin(self.product)\n+ plugin.config.products[\"S2_MSI_L2A\"][\"default_bucket\"] = \"default_bucket\"\n+ self.product.properties[\"id\"] = \"someproduct\"\n+\n+ self.product.location = (\n+ self.product.remote_location\n+ ) = \"http://somebucket.somehost.com/path/to/some/product\"\n+ bucket, prefix = plugin.get_bucket_name_and_prefix(self.product)\n+ self.assertEqual((bucket, prefix), (\"somebucket\", \"path/to/some/product\"))\n+\n+ plugin.config.bucket_path_level = 1\n+ bucket, prefix = plugin.get_bucket_name_and_prefix(self.product)\n+ self.assertEqual((bucket, prefix), (\"to\", \"some/product\"))\n+ del plugin.config.bucket_path_level\n+\n+ bucket, prefix = plugin.get_bucket_name_and_prefix(\n+ self.product, url=\"/somewhere/else\"\n+ )\n+ self.assertEqual((bucket, prefix), (\"default_bucket\", \"somewhere/else\"))\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex f07a3c71..d5596270 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -25,6 +25,7 @@ from io import StringIO\n from tests.context import (\n DownloadedCallback,\n ProgressCallback,\n+ get_bucket_name_and_prefix,\n get_timestamp,\n merge_mappings,\n path_to_uri,\n@@ -162,3 +163,51 @@ class TestUtils(unittest.TestCase):\n mapping = {\"keyA\": True}\n merge_mappings(mapping, {\"keya\": \"bar\"})\n self.assertEqual(mapping, {\"keyA\": True})\n+\n+ def test_get_bucket_name_and_prefix(self):\n+ \"\"\"get_bucket_name_and_prefix must extract bucket and prefix from url\"\"\"\n+ self.assertEqual(\n+ get_bucket_name_and_prefix(\n+ \"s3://sentinel-s2-l1c/tiles/50/R/LR/2021/6/8/0/B02.jp2\"\n+ ),\n+ (\"sentinel-s2-l1c\", \"tiles/50/R/LR/2021/6/8/0/B02.jp2\"),\n+ )\n+ self.assertEqual(\n+ get_bucket_name_and_prefix(\n+ \"https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/44/2022/10/S2B_20221011/B01.tif\"\n+ ),\n+ (\n+ \"sentinel-cogs\",\n+ \"sentinel-s2-l2a-cogs/44/2022/10/S2B_20221011/B01.tif\",\n+ ),\n+ )\n+ self.assertEqual(\n+ get_bucket_name_and_prefix(\n+ \"https://obs.eu-de.otc.t-systems.com/s2-l1c-2021-q4/30/T/2021/11/14/S2A_MSIL1C_20211114T110321_N0301\",\n+ 0,\n+ ),\n+ (\"s2-l1c-2021-q4\", \"30/T/2021/11/14/S2A_MSIL1C_20211114T110321_N0301\"),\n+ )\n+ self.assertEqual(\n+ get_bucket_name_and_prefix(\n+ \"products/2021/1/5/S2A_MSIL1C_20210105T105441_N0209_R051_T30TYN_20210105T130129\",\n+ ),\n+ (\n+ None,\n+ \"products/2021/1/5/S2A_MSIL1C_20210105T105441_N0209_R051_T30TYN_20210105T130129\",\n+ ),\n+ )\n+ self.assertEqual(\n+ get_bucket_name_and_prefix(\n+ \"bucket/path/to/product\",\n+ 0,\n+ ),\n+ (\"bucket\", \"path/to/product\"),\n+ )\n+ self.assertEqual(\n+ get_bucket_name_and_prefix(\n+ \"http://foo/bar/bucket/path/to/product\",\n+ 1,\n+ ),\n+ (\"bucket\", \"path/to/product\"),\n+ )\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_media\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 2,\n \"test_score\": 2\n },\n \"num_modified_files\": 4\n}"},"version":{"kind":"string","value":"2.6"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-mock\",\n \"pytest-asyncio\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@58335e728fff5b98bd85b96fead271429773a593#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nMarkdown==3.7\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==4.1.1\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.6.1.dev3+g58335e72\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown==3.7\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-html==4.1.1\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance","tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing","tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_no_url","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_ok","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_error_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_notready_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_ok","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_once_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_short_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_timeout_disabled","tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_get_bucket_prefix","tests/units/test_utils.py::TestUtils::test_downloaded_callback","tests/units/test_utils.py::TestUtils::test_get_bucket_name_and_prefix","tests/units/test_utils.py::TestUtils::test_merge_mappings","tests/units/test_utils.py::TestUtils::test_path_to_uri","tests/units/test_utils.py::TestUtils::test_progresscallback_copy","tests/units/test_utils.py::TestUtils::test_progresscallback_disable","tests/units/test_utils.py::TestUtils::test_progresscallback_init","tests/units/test_utils.py::TestUtils::test_progresscallback_init_customize","tests/units/test_utils.py::TestUtils::test_uri_to_path","tests/units/test_utils.py::TestUtils::test_utils_get_timestamp"],"string":"[\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_no_url\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_error_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_notready_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_once_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_short_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_timeout_disabled\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_get_bucket_prefix\",\n \"tests/units/test_utils.py::TestUtils::test_downloaded_callback\",\n \"tests/units/test_utils.py::TestUtils::test_get_bucket_name_and_prefix\",\n \"tests/units/test_utils.py::TestUtils::test_merge_mappings\",\n \"tests/units/test_utils.py::TestUtils::test_path_to_uri\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_copy\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_disable\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_init\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_init_customize\",\n \"tests/units/test_utils.py::TestUtils::test_uri_to_path\",\n \"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"],"string":"[\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":467,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-545"},"base_commit":{"kind":"string","value":"837c127b5068fd87a99b875206b95d44e48fdb50"},"created_at":{"kind":"string","value":"2022-11-03 16:32:25"},"environment_setup_commit":{"kind":"string","value":"29c1474e5016cd8158c890ec5210af2062c73a49"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 9m 47s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") + 1m 42s\n300 tests +1 297 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +1 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n600 runs +2 594 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +2 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit d1db0582. ± Comparison against base commit 837c127b.\n\n[test-results]:data:application/gzip;base64,H4sIADnwY2MC/02MSw7DIAwFrxKx7sKQQEgvU5mfhJpPRWAV9e6FtpAsZ/w8B3F+tju5d+zWkT352MCkgNFva0YuxyzyKZZjD1DpsSety34aT/X0r7JqwqGfszifbAhb+JuQ1tIUUKEm+TQ08yuKypfgl689vS2LjxmIoUYBl4yPqKigxglLAWXvAJVCpqxiPUg7kPcH9xw55gUBAAA=\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `84%` | :white_check_mark: |\n| eodag/api/core.py | `88%` | :white_check_mark: |\n| tests/units/test\\_core.py | `98%` | :white_check_mark: |\n| tests/units/test\\_utils.py | `94%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `83%` | :white_check_mark: |\n| eodag/api/core.py | `88%` | :white_check_mark: |\n| tests/units/test\\_core.py | `98%` | :white_check_mark: |\n| tests/units/test\\_utils.py | `94%` | :white_check_mark: |\n| eodag/api/core.py | `87%` | :white_check_mark: |\n| tests/units/test\\_core.py | `98%` | :white_check_mark: |\n| tests/units/test\\_utils.py | `94%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against d1db058257ab161df6e10a83f0abba2beb2308e4 </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex cd5d696b..a88a3212 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -1708,7 +1708,7 @@ class EODataAccessGateway(object):\n If the metadata mapping for ``downloadLink`` is set to something that can be\n interpreted as a link on a\n local filesystem, the download is skipped (by now, only a link starting\n- with ``file://`` is supported). Therefore, any user that knows how to extract\n+ with ``file:/`` is supported). Therefore, any user that knows how to extract\n product location from product metadata on a provider can override the\n ``downloadLink`` metadata mapping in the right way. For example, using the\n environment variable:\n@@ -1742,7 +1742,7 @@ class EODataAccessGateway(object):\n :raises: :class:`~eodag.utils.exceptions.PluginImplementationError`\n :raises: :class:`RuntimeError`\n \"\"\"\n- if product.location.startswith(\"file://\"):\n+ if product.location.startswith(\"file:/\"):\n logger.info(\"Local product detected. Download skipped\")\n return uri_to_path(product.location)\n if product.downloader is None:\n"},"problem_statement":{"kind":"string","value":"accepts all file URI formats\nEODAG should support `file:/path/to/file` formatting the same way it already supports `file:///path/to/file`.\r\n\r\nSee https://datatracker.ietf.org/doc/html/rfc8089#appendix-B"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex f3514a29..c109a695 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -1498,3 +1498,34 @@ class TestCoreSearch(TestCoreBase):\n dag.set_preferred_provider(\"dummy_provider\")\n dag.search_all(productType=\"S2_MSI_L1C\", items_per_page=7)\n self.assertEqual(mocked_search_iter_page.call_args[1][\"items_per_page\"], 7)\n+\n+\n+class TestCoreDownload(TestCoreBase):\n+ @classmethod\n+ def setUpClass(cls):\n+ super(TestCoreDownload, cls).setUpClass()\n+ cls.dag = EODataAccessGateway()\n+\n+ def test_download_local_product(self):\n+ \"\"\"download must skip local products\"\"\"\n+ product = EOProduct(\"dummy\", dict(geometry=\"POINT (0 0)\", id=\"dummy_product\"))\n+\n+ product.location = \"file:///some/path\"\n+ with self.assertLogs(level=\"INFO\") as cm:\n+ self.dag.download(product)\n+ self.assertIn(\"Local product detected. Download skipped\", str(cm.output))\n+\n+ product.location = \"file:/some/path\"\n+ with self.assertLogs(level=\"INFO\") as cm:\n+ self.dag.download(product)\n+ self.assertIn(\"Local product detected. Download skipped\", str(cm.output))\n+\n+ product.location = \"file:///c:/some/path\"\n+ with self.assertLogs(level=\"INFO\") as cm:\n+ self.dag.download(product)\n+ self.assertIn(\"Local product detected. Download skipped\", str(cm.output))\n+\n+ product.location = \"file:/c:/some/path\"\n+ with self.assertLogs(level=\"INFO\") as cm:\n+ self.dag.download(product)\n+ self.assertIn(\"Local product detected. Download skipped\", str(cm.output))\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex d5596270..8616d6c2 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -62,11 +62,15 @@ class TestUtils(unittest.TestCase):\n if sys.platform == \"win32\":\n expected_path = r\"C:\\tmp\\file.txt\"\n tested_uri = r\"file:///C:/tmp/file.txt\"\n+ other_tested_uri = r\"file:/C:/tmp/file.txt\"\n else:\n expected_path = \"/tmp/file.txt\"\n tested_uri = \"file:///tmp/file.txt\"\n+ other_tested_uri = \"file:/tmp/file.txt\"\n actual_path = uri_to_path(tested_uri)\n self.assertEqual(actual_path, expected_path)\n+ actual_path = uri_to_path(other_tested_uri)\n+ self.assertEqual(actual_path, expected_path)\n with self.assertRaises(ValueError):\n uri_to_path(\"not_a_uri\")\n \n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_hyperlinks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 0,\n \"issue_text_score\": 0,\n \"test_score\": 0\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.6"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e 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\"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":468,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-554"},"base_commit":{"kind":"string","value":"12e3cdc83bb46a2384b2821e28833b0fdb15c799"},"created_at":{"kind":"string","value":"2022-11-16 10:38:04"},"environment_setup_commit":{"kind":"string","value":"29c1474e5016cd8158c890ec5210af2062c73a49"},"hints_text":{"kind":"string","value":"github-actions[bot]: <strong></strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `84%` | :white_check_mark: |\n| eodag/plugins/search/qssearch.py | `76%` | :white_check_mark: |\n| tests/units/test\\_core.py | `98%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 25333fec73fbfc8328fbe55c3d6282eb839dfc31 </p>\ngithub-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 9m 25s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") +22s\n319 tests +1 316 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +1 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n638 runs +2 632 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +2 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 557a6f3f. ± Comparison against base commit 12e3cdc8.\n\n[test-results]:data:application/gzip;base64,H4sIAKK/dGMC/03MSw6DIBSF4a0Yxh3I6wrdTENBElKVhsfIdO8FK9Th/53k7Mi6ZY7oPpDbgGJ2qYfJQSXnt5IceIEypTpSLFs9Ytb6IPjTy70rdbDKLQXGDnMIPpwS8lY/gYoz2iVQ0uX3CK0vh0df/7RfV5dKIM4nBZZaozCbjWTwFIRYIQUfp5ExEKCxxJihzxcUSlynBQEAAA==\n"},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/search/qssearch.py b/eodag/plugins/search/qssearch.py\nindex f349b760..a9625b53 100644\n--- a/eodag/plugins/search/qssearch.py\n+++ b/eodag/plugins/search/qssearch.py\n@@ -597,8 +597,7 @@ class QueryStringSearch(Search):\n \"instance:\".format(self.provider, self.__class__.__name__),\n )\n except RequestError:\n- # Signal the end of iteration (see PEP-479)\n- return\n+ return []\n else:\n next_page_url_key_path = self.config.pagination.get(\n \"next_page_url_key_path\", None\n"},"problem_statement":{"kind":"string","value":"Connection timeout bug in search API\n**Describe the bug**\r\n\r\nNo result from provider 'creodias' due to an error during the search.\r\n\r\n`urllib3.exceptions.ConnectTimeoutError: (<urllib3.connection.HTTPSConnection object at 0x7f0614fa07f0>, 'Connection to finder.creodias.eu timed out. (connect timeout=5)')`\r\n\r\nTimeout error is not properly handled and propagated back. The error (len() of None) appears already inside the eodag code:\r\n\r\n```\r\nnormalize_remaining_count = len(results)\r\nTypeError: object of type 'NoneType' has no len()\r\n```\r\n\r\n**Code To Reproduce**\r\n\r\n`all_products = session.search_all(**search_criteria)` -> with the specific search and creodias provider for example.\r\n\r\n**Output**\r\n\r\n```\r\n[2022-11-14 23:38:30,795][eodag.core][INFO] - Searching product type 'S2_MSI_L1C' on provider: creodias\r\n[2022-11-14 23:38:30,795][eodag.core][INFO] - Iterate search over multiple pages: page #1\r\n[2022-11-14 23:38:30,795][eodag.plugins.search.qssearch][INFO] - Sending search request: https://finder.creodias.eu/resto/api/collections/Sentinel2/search.json?startDate=2019-05-01T00:00:00&completionDate=2019-10-01T00:00:00&geometry=POLYGON ((9.1010 46.6489, 9.0945 46.6490, 9.0946 46.6534, 9.1011 46.6534, 9.1010 46.6489))&productType=L1C&maxRecords=2000&page=1\r\n[2022-11-14 23:38:35,883][eodag.plugins.search.qssearch][ERROR] - Skipping error while searching for creodias QueryStringSearch instance:\r\nTraceback (most recent call last):\r\n File \".../lib/python3.9/site-packages/urllib3/connection.py\", line 174, in _new_conn\r\n conn = connection.create_connection(\r\n File \".../lib/python3.9/site-packages/urllib3/util/connection.py\", line 95, in create_connection\r\n raise err\r\n File \".../lib/python3.9/site-packages/urllib3/util/connection.py\", line 85, in create_connection\r\n sock.connect(sa)\r\nsocket.timeout: timed out\r\n\r\nDuring handling of the above exception, another exception occurred:\r\n\r\nTraceback (most recent call last):\r\n File \".../lib/python3.9/site-packages/urllib3/connectionpool.py\", line 703, in urlopen\r\n httplib_response = self._make_request(\r\n File \".../lib/python3.9/site-packages/urllib3/connectionpool.py\", line 386, in _make_request\r\n self._validate_conn(conn)\r\n File \".../lib/python3.9/site-packages/urllib3/connectionpool.py\", line 1042, in _validate_conn\r\n conn.connect()\r\n File \".../lib/python3.9/site-packages/urllib3/connection.py\", line 358, in connect\r\n self.sock = conn = self._new_conn()\r\n File \".../lib/python3.9/site-packages/urllib3/connection.py\", line 179, in _new_conn\r\n raise ConnectTimeoutError(\r\nurllib3.exceptions.ConnectTimeoutError: (<urllib3.connection.HTTPSConnection object at 0x7f0614fa07f0>, 'Connection to finder.creodias.eu timed out. (connect timeout=5)')\r\n\r\nDuring handling of the above exception, another exception occurred:\r\n\r\nTraceback (most recent call last):\r\n File \".../lib/python3.9/site-packages/requests/adapters.py\", line 489, in send\r\n resp = conn.urlopen(\r\n File \".../lib/python3.9/site-packages/urllib3/connectionpool.py\", line 787, in urlopen\r\n retries = retries.increment(\r\n File \".../lib/python3.9/site-packages/urllib3/util/retry.py\", line 592, in increment\r\n raise MaxRetryError(_pool, url, error or ResponseError(cause))\r\nurllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='finder.creodias.eu', port=443): Max retries exceeded with url: /resto/api/collections/Sentinel2/search.json?startDate=2019-05-01T00:00:00&completionDate=2019-10-01T00:00:00&geometry=POLYGON%20((9.1010%2046.6489,%209.0945%2046.6490,%209.0946%2046.6534,%209.1011%2046.6534,%209.1010%2046.6489))&productType=L1C&maxRecords=2000&page=1 (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f0614fa07f0>, 'Connection to finder.creodias.eu timed out. (connect timeout=5)'))\r\n\r\nDuring handling of the above exception, another exception occurred:\r\n\r\nTraceback (most recent call last):\r\n File \".../lib/python3.9/site-packages/eodag/plugins/search/qssearch.py\", line 864, in _request\r\n response = requests.get(url, timeout=HTTP_REQ_TIMEOUT, **kwargs)\r\n File \".../lib/python3.9/site-packages/requests/api.py\", line 73, in get\r\n return request(\"get\", url, params=params, **kwargs)\r\n File \".../lib/python3.9/site-packages/requests/api.py\", line 59, in request\r\n return session.request(method=method, url=url, **kwargs)\r\n File \".../lib/python3.9/site-packages/requests/sessions.py\", line 587, in request\r\n resp = self.send(prep, **send_kwargs)\r\n File \".../lib/python3.9/site-packages/requests/sessions.py\", line 701, in send\r\n r = adapter.send(request, **kwargs)\r\n File \".../lib/python3.9/site-packages/requests/adapters.py\", line 553, in send\r\n raise ConnectTimeout(e, request=request)\r\nrequests.exceptions.ConnectTimeout: HTTPSConnectionPool(host='finder.creodias.eu', port=443): Max retries exceeded with url: /resto/api/collections/Sentinel2/search.json?startDate=2019-05-01T00:00:00&completionDate=2019-10-01T00:00:00&geometry=POLYGON%20((9.1010%2046.6489,%209.0945%2046.6490,%209.0946%2046.6534,%209.1011%2046.6534,%209.1010%2046.6489))&productType=L1C&maxRecords=2000&page=1 (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f0614fa07f0>, 'Connection to finder.creodias.eu timed out. (connect timeout=5)'))\r\n[2022-11-14 23:38:35,888][eodag.core][INFO] - No result from provider 'creodias' due to an error during search. Raise verbosity of log messages for details\r\n```\r\n\r\n```\r\nFile \".../sentinel_api.py\", line 49, in search_products\r\n all_products = session.search_all(**search_criteria)\r\n File \".../lib/python3.9/site-packages/eodag/api/core.py\", line 1099, in search_all\r\n for page_results in self.search_iter_page(\r\n File \".../lib/python3.9/site-packages/eodag/api/core.py\", line 953, in search_iter_page\r\n products, _ = self._do_search(\r\n File \".../lib/python3.9/site-packages/eodag/api/core.py\", line 1339, in _do_search\r\n res, nb_res = search_plugin.query(count=count, **kwargs)\r\n File \".../lib/python3.9/site-packages/eodag/plugins/search/qssearch.py\", line 341, in query\r\n eo_products = self.normalize_results(provider_results, **kwargs)\r\n File \".../lib/python3.9/site-packages/eodag/plugins/search/qssearch.py\", line 677, in normalize_results\r\n normalize_remaining_count = len(results)\r\nTypeError: object of type 'NoneType' has no len()\r\n```\r\n\r\n**Environment:**\r\n - Python version: 3.9\r\n - EODAG version: 2.6.0\r\n\r\n**Additional context**\r\n\r\nThe above error appeared in a large-scale search for 50k different searches. The error appeared on a specific search, after 10s of thousands of successful searches.\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex f23c149a..47f4b0f7 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -82,6 +82,7 @@ from eodag.utils.exceptions import (\n NoMatchingProductType,\n NotAvailableError,\n PluginImplementationError,\n+ RequestError,\n UnsupportedDatasetAddressScheme,\n UnsupportedProvider,\n ValidationError,\ndiff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex 7b45f284..7bf4ca52 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -40,6 +40,7 @@ from tests.context import (\n EOProduct,\n NoMatchingProductType,\n PluginImplementationError,\n+ RequestError,\n SearchResult,\n UnsupportedProvider,\n get_geometry_from_various,\n@@ -1704,6 +1705,32 @@ class TestCoreSearch(TestCoreBase):\n dag.search_all(productType=\"S2_MSI_L1C\", items_per_page=7)\n self.assertEqual(mocked_search_iter_page.call_args[1][\"items_per_page\"], 7)\n \n+ @mock.patch(\n+ \"eodag.plugins.search.qssearch.QueryStringSearch._request\", autospec=True\n+ )\n+ def test_search_all_request_error(self, mocked_request):\n+ \"\"\"search_all must stop iteration if a request exception is raised\"\"\"\n+ dag = EODataAccessGateway()\n+ dummy_provider_config = \"\"\"\n+ dummy_provider:\n+ search:\n+ type: QueryStringSearch\n+ api_endpoint: https://api.my_new_provider/search\n+ pagination:\n+ next_page_url_tpl: 'dummy_next_page_url_tpl'\n+ next_page_url_key_path: '$.links[?(@.rel=\"next\")].href'\n+ metadata_mapping:\n+ dummy: 'dummy'\n+ products:\n+ S2_MSI_L1C:\n+ productType: '{productType}'\n+ \"\"\"\n+ mocked_request.side_effect = RequestError()\n+ dag.update_providers_config(dummy_provider_config)\n+ dag.set_preferred_provider(\"dummy_provider\")\n+ results = dag.search_all(productType=\"S2_MSI_L1C\")\n+ self.assertEqual(len(results), 0)\n+\n \n class TestCoreDownload(TestCoreBase):\n @classmethod\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_issue_reference\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 2,\n \"test_score\": 2\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.6"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[tutorials]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-mock\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"affine==2.4.0\nanyio==4.9.0\nargon2-cffi==23.1.0\nargon2-cffi-bindings==21.2.0\narrow==1.3.0\nasttokens==3.0.0\nasync-lru==2.0.5\nattrs==25.3.0\nbabel==2.17.0\nbeautifulsoup4==4.13.3\nbleach==6.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\nbranca==0.8.1\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncftime==1.6.4.post1\ncharset-normalizer==3.4.1\nclick==8.1.8\nclick-plugins==1.1.1\ncligj==0.7.2\ncomm==0.2.2\ncontourpy==1.3.0\ncoverage==7.8.0\ncycler==0.12.1\ndatapi==0.3.0\ndebugpy==1.8.13\ndecorator==5.2.1\ndefusedxml==0.7.1\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@12e3cdc83bb46a2384b2821e28833b0fdb15c799#egg=eodag\neodag-cube==0.3.1\nexceptiongroup==1.2.2\nexecuting==2.2.0\nfastjsonschema==2.21.1\nflasgger==0.9.7.1\nFlask==3.1.0\nfolium==0.19.5\nfonttools==4.56.0\nfqdn==1.5.1\ngeojson==3.2.0\ngrpcio==1.71.0\nh11==0.14.0\nhttpcore==1.0.7\nhttpx==0.28.1\nidna==3.10\nimageio==2.37.0\nimportlib_metadata==8.6.1\nimportlib_resources==6.5.2\niniconfig==2.1.0\nipykernel==6.29.5\nipyleaflet==0.19.2\nipython==8.18.1\nipywidgets==8.1.5\nisoduration==20.11.0\nitsdangerous==2.2.0\njedi==0.19.2\nJinja2==3.1.6\njmespath==1.0.1\njson5==0.10.0\njsonpath-ng==1.7.0\njsonpointer==3.0.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\njupyter==1.1.1\njupyter-console==6.6.3\njupyter-events==0.12.0\njupyter-leaflet==0.19.2\njupyter-lsp==2.2.5\njupyter_client==8.6.3\njupyter_core==5.7.2\njupyter_server==2.15.0\njupyter_server_terminals==0.5.3\njupyterlab==4.3.6\njupyterlab_pygments==0.3.0\njupyterlab_server==2.27.3\njupyterlab_widgets==3.0.13\nkiwisolver==1.4.7\nlxml==5.3.1\nMarkupSafe==3.0.2\nmatplotlib==3.9.4\nmatplotlib-inline==0.1.7\nmistune==3.1.3\nmultiurl==0.3.5\nnbclient==0.10.2\nnbconvert==7.16.6\nnbformat==5.10.4\nnest-asyncio==1.6.0\nnetCDF4==1.7.2\nnotebook==7.3.3\nnotebook_shim==0.2.4\nnumpy==2.0.2\noverrides==7.7.0\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\npandocfilters==1.5.1\nparso==0.8.4\npexpect==4.9.0\npillow==11.1.0\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\nprometheus_client==0.21.1\nprompt_toolkit==3.0.50\nprotobuf==3.20.0\npsutil==7.0.0\nptyprocess==0.7.0\npure_eval==0.2.3\npycparser==2.22\nPygments==2.19.1\npyparsing==3.2.3\npyproj==3.6.1\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-mock==3.14.0\npython-dateutil==2.9.0.post0\npython-json-logger==3.3.0\npytz==2025.2\nPyYAML==6.0.2\npyzmq==26.3.0\nrasterio==1.4.3\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrfc3339-validator==0.1.4\nrfc3986-validator==0.1.1\nrioxarray==0.15.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSend2Trash==1.8.3\nshapely==2.0.7\nsix==1.17.0\nsniffio==1.3.1\nsoupsieve==2.6\nstack-data==0.6.3\nterminado==0.18.1\ntinycss2==1.4.0\ntomli==2.2.1\ntornado==6.4.2\ntqdm==4.67.1\ntraitlets==5.14.3\ntraittypes==0.2.1\ntypes-python-dateutil==2.9.0.20241206\ntyping_extensions==4.13.0\ntzdata==2025.2\nuri-template==1.3.0\nurllib3==1.26.20\nusgs==0.3.5\nwcwidth==0.2.13\nwebcolors==24.11.1\nwebencodings==0.5.1\nwebsocket-client==1.8.0\nWerkzeug==3.1.3\nWhoosh==2.7.4\nwidgetsnbextension==4.0.13\nxarray==2024.7.0\nxyzservices==2025.1.0\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - affine==2.4.0\n - anyio==4.9.0\n - argon2-cffi==23.1.0\n - argon2-cffi-bindings==21.2.0\n - arrow==1.3.0\n - asttokens==3.0.0\n - async-lru==2.0.5\n - attrs==25.3.0\n - babel==2.17.0\n - beautifulsoup4==4.13.3\n - bleach==6.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - branca==0.8.1\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cftime==1.6.4.post1\n - charset-normalizer==3.4.1\n - click==8.1.8\n - click-plugins==1.1.1\n - cligj==0.7.2\n - comm==0.2.2\n - contourpy==1.3.0\n - coverage==7.8.0\n - cycler==0.12.1\n - datapi==0.3.0\n - debugpy==1.8.13\n - decorator==5.2.1\n - defusedxml==0.7.1\n - ecmwf-api-client==1.6.5\n - eodag==2.6.2.post2.dev1+g12e3cdc8\n - eodag-cube==0.3.1\n - exceptiongroup==1.2.2\n - executing==2.2.0\n - fastjsonschema==2.21.1\n - flasgger==0.9.7.1\n - flask==3.1.0\n - folium==0.19.5\n - fonttools==4.56.0\n - fqdn==1.5.1\n - geojson==3.2.0\n - grpcio==1.71.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httpx==0.28.1\n - idna==3.10\n - imageio==2.37.0\n - importlib-metadata==8.6.1\n - importlib-resources==6.5.2\n - iniconfig==2.1.0\n - ipykernel==6.29.5\n - ipyleaflet==0.19.2\n - ipython==8.18.1\n - ipywidgets==8.1.5\n - isoduration==20.11.0\n - itsdangerous==2.2.0\n - jedi==0.19.2\n - jinja2==3.1.6\n - jmespath==1.0.1\n - json5==0.10.0\n - jsonpath-ng==1.7.0\n - jsonpointer==3.0.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - jupyter==1.1.1\n - jupyter-client==8.6.3\n - jupyter-console==6.6.3\n - jupyter-core==5.7.2\n - jupyter-events==0.12.0\n - jupyter-leaflet==0.19.2\n - jupyter-lsp==2.2.5\n - jupyter-server==2.15.0\n - jupyter-server-terminals==0.5.3\n - jupyterlab==4.3.6\n - jupyterlab-pygments==0.3.0\n - jupyterlab-server==2.27.3\n - jupyterlab-widgets==3.0.13\n - kiwisolver==1.4.7\n - lxml==5.3.1\n - markupsafe==3.0.2\n - matplotlib==3.9.4\n - matplotlib-inline==0.1.7\n - mistune==3.1.3\n - multiurl==0.3.5\n - nbclient==0.10.2\n - nbconvert==7.16.6\n - nbformat==5.10.4\n - nest-asyncio==1.6.0\n - netcdf4==1.7.2\n - notebook==7.3.3\n - notebook-shim==0.2.4\n - numpy==2.0.2\n - overrides==7.7.0\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - pandocfilters==1.5.1\n - parso==0.8.4\n - pexpect==4.9.0\n - pillow==11.1.0\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - prometheus-client==0.21.1\n - prompt-toolkit==3.0.50\n - protobuf==3.20.0\n - psutil==7.0.0\n - ptyprocess==0.7.0\n - pure-eval==0.2.3\n - pycparser==2.22\n - pygments==2.19.1\n - pyparsing==3.2.3\n - pyproj==3.6.1\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-mock==3.14.0\n - python-dateutil==2.9.0.post0\n - python-json-logger==3.3.0\n - pytz==2025.2\n - pyyaml==6.0.2\n - pyzmq==26.3.0\n - rasterio==1.4.3\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - rfc3339-validator==0.1.4\n - rfc3986-validator==0.1.1\n - rioxarray==0.15.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - send2trash==1.8.3\n - shapely==2.0.7\n - six==1.17.0\n - sniffio==1.3.1\n - soupsieve==2.6\n - stack-data==0.6.3\n - terminado==0.18.1\n - tinycss2==1.4.0\n - tomli==2.2.1\n - tornado==6.4.2\n - tqdm==4.67.1\n - traitlets==5.14.3\n - traittypes==0.2.1\n - 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\"tests/units/test_core.py::TestCoreDownload::test_download_local_product\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":469,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-566"},"base_commit":{"kind":"string","value":"9af685574aa465456bca01f245b830b324db2c5c"},"created_at":{"kind":"string","value":"2022-12-01 17:01:11"},"environment_setup_commit":{"kind":"string","value":"6fee322d19ecc2805f7ab44139b3c555b8cad40f"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 10m 24s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") - 2m 9s\n325 tests +1 322 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +1 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n650 runs +2 644 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +2 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit e0d2a16e. ± Comparison against base commit 9af68557.\n\n[test-results]:data:application/gzip;base64,H4sIAGHgiGMC/03MSw7CIBSF4a00jB3ABS7VzRjCIyG2xfAYGfcurYId/t9Jzov4sLhMbhNcJpJrKCNsTbqEuLVEEA3aVPaRg+x1z9WYg+BPj/DcaYDXYWlAB7iUYvpJqtv+ibJHv0Qhhnwfsffp8Ojzn4nrGkoL4qgFzdChsbMygs2cM5DWe6ql5E6iUlfLKSfvD2TBVqgFAQAA\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/plugins/download/http.py | `80%` | :white_check_mark: |\n| tests/units/test\\_download\\_plugins.py | `96%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/plugins/download/http.py | `80%` | :white_check_mark: |\n| tests/units/test\\_download\\_plugins.py | `96%` | :white_check_mark: |\n| eodag/plugins/download/http.py | `80%` | :white_check_mark: |\n| tests/units/test\\_download\\_plugins.py | `96%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against e0d2a16e6cd87c41833125dff0a553e56779d303 </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 58fe8a89..9b9b66ba 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -252,6 +252,9 @@ class HTTPDownload(Download):\n assets_urls = [\n a[\"href\"] for a in getattr(product, \"assets\", {}).values() if \"href\" in a\n ]\n+ assets_values = [\n+ a for a in getattr(product, \"assets\", {}).values() if \"href\" in a\n+ ]\n \n if not assets_urls:\n raise NotAvailableError(\"No assets available for %s\" % product)\n@@ -271,55 +274,77 @@ class HTTPDownload(Download):\n \"flatten_top_dirs\", getattr(self.config, \"flatten_top_dirs\", False)\n )\n \n- total_size = sum(\n- [\n- # get total size using header[Content-length] of each asset\n- int(\n- requests.head(\n- asset_url, auth=auth, timeout=HTTP_REQ_TIMEOUT\n- ).headers.get(\"Content-length\", 0)\n- )\n- or int( # alternative: get total size using header[content-disposition][size] of each asset\n- parse_header(\n- requests.head(\n- asset_url, auth=auth, timeout=HTTP_REQ_TIMEOUT\n- ).headers.get(\"content-disposition\", \"\")\n- )[-1].get(\"size\", 0)\n- )\n- for asset_url in assets_urls\n- if not asset_url.startswith(\"file:\")\n- ]\n+ # get extra parameters to pass to the query\n+ params = kwargs.pop(\"dl_url_params\", None) or getattr(\n+ self.config, \"dl_url_params\", {}\n )\n+\n+ total_size = 0\n+ # loop for assets size & filename\n+ for asset in assets_values:\n+ if not asset[\"href\"].startswith(\"file:\"):\n+ # HEAD request for size & filename\n+ asset_headers = requests.head(\n+ asset[\"href\"], auth=auth, timeout=HTTP_REQ_TIMEOUT\n+ ).headers\n+ header_content_disposition_dict = {}\n+\n+ if not asset.get(\"size\", 0):\n+ # size from HEAD header / Content-length\n+ asset[\"size\"] = int(asset_headers.get(\"Content-length\", 0))\n+\n+ if not asset.get(\"size\", 0) or not asset.get(\"filename\", 0):\n+ # header content-disposition\n+ header_content_disposition_dict = parse_header(\n+ asset_headers.get(\"content-disposition\", \"\")\n+ )[-1]\n+ if not asset.get(\"size\", 0):\n+ # size from HEAD header / content-disposition / size\n+ asset[\"size\"] = int(header_content_disposition_dict.get(\"size\", 0))\n+ if not asset.get(\"filename\", 0):\n+ # filename from HEAD header / content-disposition / size\n+ asset[\"filename\"] = header_content_disposition_dict.get(\n+ \"filename\", None\n+ )\n+\n+ if not asset.get(\"size\", 0):\n+ # GET request for size\n+ with requests.get(\n+ asset[\"href\"],\n+ stream=True,\n+ auth=auth,\n+ params=params,\n+ timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ ) as stream:\n+ # size from GET header / Content-length\n+ asset[\"size\"] = int(stream.headers.get(\"Content-length\", 0))\n+ if not asset.get(\"size\", 0):\n+ # size from GET header / content-disposition / size\n+ asset[\"size\"] = int(\n+ parse_header(\n+ stream.headers.get(\"content-disposition\", \"\")\n+ )[-1].get(\"size\", 0)\n+ )\n+\n+ total_size += asset[\"size\"]\n+\n progress_callback.reset(total=total_size)\n error_messages = set()\n \n local_assets_count = 0\n \n- for asset_url in assets_urls:\n+ # loop for assets download\n+ for asset in assets_values:\n \n- if asset_url.startswith(\"file:\"):\n- logger.info(f\"Local asset detected. Download skipped for {asset_url}\")\n+ if asset[\"href\"].startswith(\"file:\"):\n+ logger.info(\n+ f\"Local asset detected. Download skipped for {asset['href']}\"\n+ )\n local_assets_count += 1\n continue\n \n- # get asset filename from header\n- asset_content_disposition = requests.head(\n- asset_url, auth=auth, timeout=HTTP_REQ_TIMEOUT\n- ).headers.get(\"content-disposition\", None)\n- if asset_content_disposition:\n- asset_filename = parse_header(asset_content_disposition)[-1].get(\n- \"filename\", None\n- )\n- else:\n- asset_filename = None\n-\n- # get extra parameters to pass to the query\n- params = kwargs.pop(\"dl_url_params\", None) or getattr(\n- self.config, \"dl_url_params\", {}\n- )\n-\n with requests.get(\n- asset_url,\n+ asset[\"href\"],\n stream=True,\n auth=auth,\n params=params,\n@@ -343,28 +368,28 @@ class HTTPDownload(Download):\n )\n else:\n logger.warning(\"Unexpected error: %s\" % e)\n- logger.warning(\"Skipping %s\" % asset_url)\n+ logger.warning(\"Skipping %s\" % asset[\"href\"])\n error_messages.add(str(e))\n else:\n- asset_rel_path = urlparse(asset_url).path.strip(\"/\")\n+ asset_rel_path = urlparse(asset[\"href\"]).path.strip(\"/\")\n asset_rel_dir = os.path.dirname(asset_rel_path)\n \n- if asset_filename is None:\n- # try getting content-disposition header from GET if not in HEAD result\n- asset_content_disposition = stream.headers.get(\n+ if not asset.get(\"filename\", None):\n+ # try getting filename in GET header if was not found in HEAD result\n+ asset_content_disposition_dict = stream.headers.get(\n \"content-disposition\", None\n )\n- if asset_content_disposition:\n- asset_filename = parse_header(asset_content_disposition)[\n- -1\n- ].get(\"filename\", None)\n+ if asset_content_disposition_dict:\n+ asset[\"filename\"] = parse_header(\n+ asset_content_disposition_dict\n+ )[-1].get(\"filename\", None)\n \n- if asset_filename is None:\n+ if not asset.get(\"filename\", None):\n # default filename extracted from path\n- asset_filename = os.path.basename(asset_rel_path)\n+ asset[\"filename\"] = os.path.basename(asset_rel_path)\n \n asset_abs_path = os.path.join(\n- fs_dir_path, asset_rel_dir, asset_filename\n+ fs_dir_path, asset_rel_dir, asset[\"filename\"]\n )\n asset_abs_path_dir = os.path.dirname(asset_abs_path)\n if not os.path.isdir(asset_abs_path_dir):\n"},"problem_statement":{"kind":"string","value":"http asset filesize using GET method\nFollowing #542, in `HTTPDownload` try getting asset filesize from header while downloading with GET method if the filesize could not be obtained with HEAD method (`total_size == 0`). Implement something like:\r\n```py\r\nif total_size == 0:\r\n asset_size = parse_header(asset_content_disposition)[-1].get(\"size\", 0)\r\n progress_callback.total += asset_size\r\n```"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_download_plugins.py b/tests/units/test_download_plugins.py\nindex d31a976b..f37a1b01 100644\n--- a/tests/units/test_download_plugins.py\n+++ b/tests/units/test_download_plugins.py\n@@ -239,6 +239,73 @@ class TestDownloadPluginHttp(BaseDownloadPluginTest):\n )\n )\n \n+ @mock.patch(\"eodag.utils.ProgressCallback.reset\", autospec=True)\n+ @mock.patch(\"eodag.plugins.download.http.requests.head\", autospec=True)\n+ @mock.patch(\"eodag.plugins.download.http.requests.get\", autospec=True)\n+ def test_plugins_download_http_assets_size(\n+ self, mock_requests_get, mock_requests_head, mock_progress_callback_reset\n+ ):\n+ \"\"\"HTTPDownload.download() must get assets sizes\"\"\"\n+\n+ plugin = self.get_download_plugin(self.product)\n+ self.product.location = self.product.remote_location = \"http://somewhere\"\n+ self.product.assets = {\n+ \"foo\": {\"href\": \"http://somewhere/a\"},\n+ \"bar\": {\"href\": \"http://somewhere/b\"},\n+ }\n+\n+ mock_requests_head.return_value.headers = {\n+ \"Content-length\": \"1\",\n+ \"content-disposition\": '; size = \"2\"',\n+ }\n+ mock_requests_get.return_value.__enter__.return_value.headers = {\n+ \"Content-length\": \"3\",\n+ \"content-disposition\": '; size = \"4\"',\n+ }\n+\n+ # size from HEAD / Content-length\n+ with TemporaryDirectory() as temp_dir:\n+ plugin.download(self.product, outputs_prefix=temp_dir)\n+ mock_progress_callback_reset.assert_called_once_with(mock.ANY, total=1 + 1)\n+\n+ # size from HEAD / content-disposition\n+ mock_requests_head.return_value.headers.pop(\"Content-length\")\n+ mock_progress_callback_reset.reset_mock()\n+ self.product.location = \"http://somewhere\"\n+ self.product.assets = {\n+ \"foo\": {\"href\": \"http://somewhere/a\"},\n+ \"bar\": {\"href\": \"http://somewhere/b\"},\n+ }\n+ with TemporaryDirectory() as temp_dir:\n+ plugin.download(self.product, outputs_prefix=temp_dir)\n+ mock_progress_callback_reset.assert_called_once_with(mock.ANY, total=2 + 2)\n+\n+ # size from GET / Content-length\n+ mock_requests_head.return_value.headers.pop(\"content-disposition\")\n+ mock_progress_callback_reset.reset_mock()\n+ self.product.location = \"http://somewhere\"\n+ self.product.assets = {\n+ \"foo\": {\"href\": \"http://somewhere/a\"},\n+ \"bar\": {\"href\": \"http://somewhere/b\"},\n+ }\n+ with TemporaryDirectory() as temp_dir:\n+ plugin.download(self.product, outputs_prefix=temp_dir)\n+ mock_progress_callback_reset.assert_called_once_with(mock.ANY, total=3 + 3)\n+\n+ # size from GET / content-disposition\n+ mock_requests_get.return_value.__enter__.return_value.headers.pop(\n+ \"Content-length\"\n+ )\n+ mock_progress_callback_reset.reset_mock()\n+ self.product.location = \"http://somewhere\"\n+ self.product.assets = {\n+ \"foo\": {\"href\": \"http://somewhere/a\"},\n+ \"bar\": {\"href\": \"http://somewhere/b\"},\n+ }\n+ with TemporaryDirectory() as temp_dir:\n+ plugin.download(self.product, outputs_prefix=temp_dir)\n+ mock_progress_callback_reset.assert_called_once_with(mock.ANY, total=4 + 4)\n+\n def test_plugins_download_http_one_local_asset(\n self,\n ):\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [],\n \"has_test_patch\": true,\n \"is_lite\": true,\n \"llm_score\": {\n \"difficulty_score\": 0,\n \"issue_text_score\": 0,\n \"test_score\": 0\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.7"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-mock\",\n \"pytest-asyncio\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@9af685574aa465456bca01f245b830b324db2c5c#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.7.1.dev1+g9af68557\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_size"],"string":"[\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_size\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"],"string":"[\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance","tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing","tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_no_url","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_get","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_head","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_href","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_ok","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_one_local_asset","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_several_local_assets","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_error_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_notready_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_ok","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_once_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_short_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_timeout_disabled","tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_get_bucket_prefix"],"string":"[\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_no_url\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_get\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_head\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_href\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_one_local_asset\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_several_local_assets\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_error_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_notready_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_once_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_short_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_timeout_disabled\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_get_bucket_prefix\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":470,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-576"},"base_commit":{"kind":"string","value":"73e95cb6407329faf860cb775e1dd61838e6a2c4"},"created_at":{"kind":"string","value":"2022-12-09 16:26:20"},"environment_setup_commit":{"kind":"string","value":"6fee322d19ecc2805f7ab44139b3c555b8cad40f"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 9m 54s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") -5s\n328 tests +2 325 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +2 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n656 runs +4 650 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +4 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit e16293d9. ± Comparison against base commit 73e95cb6.\n\n[test-results]:data:application/gzip;base64,H4sIALpjk2MC/03Myw7CIBCF4VdpWLvgOjq+jKEUEmJbDJeV8d2F2mKX/zeT8ybOzzaR+8AvA0nF5x5TiTr7sNZUKCvUU25HwW9HPVIxZiP1p6d/NergtJ8r0A42xhB3iWVtm6Bgj2MSFO3yW+wfp8Gtz3smLIvPNYhlwFFMKMAiF9YZpoRmV8kMpwxQCxylpHIkny91Dvp5BQEAAA==\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/plugins/download/aws.py | `49%` | :x: |\n| eodag/plugins/download/http.py | `83%` | :white_check_mark: |\n| eodag/utils/\\_\\_init\\_\\_.py | `89%` | :white_check_mark: |\n| tests/units/test\\_utils.py | `95%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/plugins/download/aws.py | `49%` | :x: |\n| eodag/plugins/download/http.py | `83%` | :white_check_mark: |\n| eodag/utils/\\_\\_init\\_\\_.py | `89%` | :white_check_mark: |\n| tests/units/test\\_utils.py | `95%` | :white_check_mark: |\n| eodag/plugins/download/aws.py | `49%` | :x: |\n| eodag/plugins/download/http.py | `82%` | :white_check_mark: |\n| eodag/utils/\\_\\_init\\_\\_.py | `89%` | :white_check_mark: |\n| tests/units/test\\_utils.py | `95%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against e16293d936e923efc153a1741c20169a39b4404b </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex e5d9d2a9..8c28dcce 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -19,7 +19,6 @@\n import logging\n import os\n import re\n-import shutil\n from pathlib import Path\n \n import boto3\n@@ -36,6 +35,7 @@ from eodag.api.product.metadata_mapping import (\n from eodag.plugins.download.base import Download\n from eodag.utils import (\n ProgressCallback,\n+ flatten_top_directories,\n get_bucket_name_and_prefix,\n path_to_uri,\n rename_subfolder,\n@@ -421,13 +421,7 @@ class AwsDownload(Download):\n self.finalize_s2_safe_product(product_local_path)\n # flatten directory structure\n elif flatten_top_dirs:\n- tmp_product_local_path = \"%s-tmp\" % product_local_path\n- for d, dirs, files in os.walk(product_local_path):\n- if len(files) != 0:\n- shutil.copytree(d, tmp_product_local_path)\n- shutil.rmtree(product_local_path)\n- os.rename(tmp_product_local_path, product_local_path)\n- break\n+ flatten_top_directories(product_local_path, common_prefix)\n \n if build_safe:\n self.check_manifest_file_list(product_local_path)\ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 9b9b66ba..e7061532 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -33,7 +33,12 @@ from eodag.plugins.download.base import (\n DEFAULT_STREAM_REQUESTS_TIMEOUT,\n Download,\n )\n-from eodag.utils import ProgressCallback, path_to_uri, uri_to_path\n+from eodag.utils import (\n+ ProgressCallback,\n+ flatten_top_directories,\n+ path_to_uri,\n+ uri_to_path,\n+)\n from eodag.utils.exceptions import (\n AuthenticationError,\n MisconfiguredError,\n@@ -421,13 +426,7 @@ class HTTPDownload(Download):\n \n # flatten directory structure\n if flatten_top_dirs:\n- tmp_product_local_path = \"%s-tmp\" % fs_dir_path\n- for d, dirs, files in os.walk(fs_dir_path):\n- if len(files) != 0:\n- shutil.copytree(d, tmp_product_local_path)\n- shutil.rmtree(fs_dir_path)\n- os.rename(tmp_product_local_path, fs_dir_path)\n- break\n+ flatten_top_directories(fs_dir_path)\n \n # save hash/record file\n with open(record_filename, \"w\") as fh:\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 40234376..b51b5f1e 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -31,6 +31,7 @@ import json\n import logging as py_logging\n import os\n import re\n+import shutil\n import string\n import types\n import unicodedata\n@@ -39,6 +40,7 @@ from collections import defaultdict\n from glob import glob\n from itertools import repeat, starmap\n from pathlib import Path\n+from tempfile import mkdtemp\n \n # All modules using these should import them from utils package\n from urllib.parse import ( # noqa; noqa\n@@ -1058,3 +1060,25 @@ def get_bucket_name_and_prefix(url=None, bucket_path_level=None):\n )\n \n return bucket, prefix\n+\n+\n+def flatten_top_directories(nested_dir_root, common_subdirs_path=None):\n+ \"\"\"Flatten directory structure, removing common empty sub-directories\n+\n+ :param nested_dir_root: Absolute path of the directory structure to flatten\n+ :type nested_dir_root: str\n+ :param common_subdirs_path: (optional) Absolute path of the desired subdirectory to remove\n+ :type common_subdirs_path: str\n+ \"\"\"\n+ if not common_subdirs_path:\n+ subpaths_list = [p for p in Path(nested_dir_root).glob(\"**/*\") if p.is_file()]\n+ common_subdirs_path = os.path.commonpath(subpaths_list)\n+\n+ if nested_dir_root != common_subdirs_path:\n+ logger.debug(f\"Flatten {common_subdirs_path} to {nested_dir_root}\")\n+ tmp_path = mkdtemp()\n+ # need to delete tmp_path to prevent FileExistsError with copytree. Use dirs_exist_ok with py > 3.7\n+ shutil.rmtree(tmp_path)\n+ shutil.copytree(common_subdirs_path, tmp_path)\n+ shutil.rmtree(nested_dir_root)\n+ shutil.move(tmp_path, nested_dir_root)\n"},"problem_statement":{"kind":"string","value":"NITF files are not downloaded\n**Describe the bug**\r\n I don't know if its intended, but some STAC catalog have.... .ntf files 🙄, and eodag doesn't download them\r\nFor example, all [SICD Capella products](https://www.stacindex.org/catalogs/capella-space-open-data#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?si=0&t=2#12/62.954289/-150.694400).\r\n\r\n\r\n\r\n\r\n\r\nFeel free to close it if this is a feature and not a bug 😉 \r\n\r\n**Code To Reproduce**\r\n```py\r\nfrom eodag import setup_logging\r\n\r\nfrom eodag.api.core import EODataAccessGateway\r\n\r\nif __name__ == \"__main__\":\r\n # Create an EODAG custom STAC provider\r\n setup_logging(verbose=3)\r\n dag = EODataAccessGateway()\r\n\r\n # Add the custom STAC provider + output + login an password\r\n catalog_path = 'https://capella-open-data.s3.us-west-2.amazonaws.com/stac/capella-open-data-by-datetime/capella-open-data-2022/capella-open-data-2022-3/capella-open-data-2022-3-20/catalog.json'\r\n outputs_prefix = r\"D:\\capella_eodag\"\r\n\r\n dag.update_providers_config(r\"\"\"\r\n capella:\r\n search:\r\n type: StaticStacSearch\r\n api_endpoint: %s\r\n metadata_mapping:\r\n assets: '{$.assets#recursive_sub_str(r\"https([^.]*)\\.[^/]*\\/(.*)\",r\"s3\\1/\\2\")}'\r\n discover_product_types:\r\n fetch_url:\r\n products:\r\n GENERIC_PRODUCT_TYPE:\r\n productType: '{productType}'\r\n download:\r\n type: AwsDownload\r\n flatten_top_dirs: True\r\n outputs_prefix: %s\r\n \"\"\" % (catalog_path, outputs_prefix))\r\n\r\n # Set the custom STAC provider as preferred\r\n dag.set_preferred_provider(\"capella\")\r\n\r\n # Query every product from inside the catalog\r\n capella_prod, _ = dag.search(**{\"sensorMode\":\"spotlight\", \"sar:product_type\": \"SICD\"})\r\n paths = dag.download_all(capella_prod)\r\n\r\n```\r\n\r\n**Output**\r\n```\r\n2022-12-08 17:26:27,628 eodag.config [INFO ] (config ) Loading user configuration from: C:\\Users\\rbraun\\.config\\eodag\\eodag.yml\r\n2022-12-08 17:26:27,745 eodag.core [INFO ] (core ) usgs: provider needing auth for search has been pruned because no crendentials could be found\r\n2022-12-08 17:26:27,745 eodag.core [INFO ] (core ) aws_eos: provider needing auth for search has been pruned because no crendentials could be found\r\n2022-12-08 17:26:27,841 eodag.core [DEBUG ] (core ) Opening product types index in C:\\Users\\rbraun\\.config\\eodag\\.index\r\n2022-12-08 17:26:27,849 eodag.core [DEBUG ] (core ) Out-of-date product types index removed from C:\\Users\\rbraun\\.config\\eodag\\.index\r\n2022-12-08 17:26:27,849 eodag.core [DEBUG ] (core ) Creating product types index in C:\\Users\\rbraun\\.config\\eodag\\.index\r\n2022-12-08 17:26:27,976 eodag.core [INFO ] (core ) Locations configuration loaded from C:\\Users\\rbraun\\.config\\eodag\\locations.yml\r\n2022-12-08 17:26:27,978 eodag.config [INFO ] (config ) capella: unknown provider found in user conf, trying to use provided configuration\r\n2022-12-08 17:26:27,990 eodag.core [INFO ] (core ) No product type could be guessed with provided arguments\r\n2022-12-08 17:26:27,990 eodag.core [DEBUG ] (core ) Fetching external product types sources to find None product type\r\n2022-12-08 17:26:27,991 eodag.config [INFO ] (config ) Fetching external product types from https://cs-si.github.io/eodag/eodag/resources/ext_product_types.json\r\n2022-12-08 17:26:28,217 eodag.core [DEBUG ] (core ) Added product type mod11a1 for astraea_eod\r\n2022-12-08 17:26:28,218 eodag.core [DEBUG ] (core ) Added product type mod13a1 for astraea_eod\r\n2022-12-08 17:26:28,218 eodag.core [DEBUG ] (core ) Added product type myd11a1 for astraea_eod\r\n2022-12-08 17:26:28,218 eodag.core [DEBUG ] (core ) Added product type myd13a1 for astraea_eod\r\n2022-12-08 17:26:28,219 eodag.core [DEBUG ] (core ) Added product type maxar_open_data for astraea_eod\r\n2022-12-08 17:26:28,219 eodag.core [DEBUG ] (core ) Added product type spacenet7 for astraea_eod\r\n2022-12-08 17:26:28,220 eodag.core [DEBUG ] (core ) Added product type Sentinel1RTC for creodias\r\n2022-12-08 17:26:28,220 eodag.core [DEBUG ] (core ) Added product type Sentinel5P for creodias\r\n2022-12-08 17:26:28,220 eodag.core [DEBUG ] (core ) Added product type Sentinel6 for creodias\r\n2022-12-08 17:26:28,221 eodag.core [DEBUG ] (core ) Added product type Landsat5 for creodias\r\n2022-12-08 17:26:28,221 eodag.core [DEBUG ] (core ) Added product type Landsat7 for creodias\r\n2022-12-08 17:26:28,222 eodag.core [DEBUG ] (core ) Added product type Landsat8 for creodias\r\n2022-12-08 17:26:28,222 eodag.core [DEBUG ] (core ) Added product type Envisat for creodias\r\n2022-12-08 17:26:28,222 eodag.core [DEBUG ] (core ) Added product type SMOS for creodias\r\n2022-12-08 17:26:28,223 eodag.core [DEBUG ] (core ) Added product type S2GLC for creodias\r\n2022-12-08 17:26:28,223 eodag.core [DEBUG ] (core ) Added product type CopDem for creodias\r\n2022-12-08 17:26:28,224 eodag.core [DEBUG ] (core ) Added product type landsat-c2ard-st for usgs_satapi_aws\r\n2022-12-08 17:26:28,224 eodag.core [DEBUG ] (core ) Added product type landsat-c2l3-fsca for usgs_satapi_aws\r\n2022-12-08 17:26:28,224 eodag.core [DEBUG ] (core ) Added product type landsat-c2ard-bt for usgs_satapi_aws\r\n2022-12-08 17:26:28,225 eodag.core [DEBUG ] (core ) Added product type landsat-c2l3-ba for usgs_satapi_aws\r\n2022-12-08 17:26:28,225 eodag.core [DEBUG ] (core ) Added product type landsat-c2ard-sr for usgs_satapi_aws\r\n2022-12-08 17:26:28,226 eodag.core [DEBUG ] (core ) Added product type landsat-c2l3-dswe for usgs_satapi_aws\r\n2022-12-08 17:26:28,226 eodag.core [DEBUG ] (core ) Added product type landsat-c2ard-ta for usgs_satapi_aws\r\n2022-12-08 17:26:28,229 eodag.core [DEBUG ] (core ) Out-of-date product types index removed from C:\\Users\\rbraun\\.config\\eodag\\.index\r\n2022-12-08 17:26:28,229 eodag.core [DEBUG ] (core ) Creating product types index in C:\\Users\\rbraun\\.config\\eodag\\.index\r\n2022-12-08 17:26:29,158 eodag.core [INFO ] (core ) Searching product type 'None' on provider: capella\r\n2022-12-08 17:26:29,158 eodag.core [DEBUG ] (core ) Using plugin class for search: StaticStacSearch\r\n2022-12-08 17:26:30,004 eodag.utils.stac_reader [DEBUG ] (stac_reader ) Fetching 8 items\r\n2022-12-08 17:26:30,004 eodag.utils.stac_reader [DEBUG ] (stac_reader ) read_local_json is not the right STAC opener\r\n2022-12-08 17:26:31,008 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Getting genric provider product type definition parameters for None\r\n2022-12-08 17:26:31,009 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Building the query string that will be used for search\r\n2022-12-08 17:26:31,009 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Retrieving queryable metadata from metadata_mapping\r\n2022-12-08 17:26:31,044 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Next page URL could not be collected\r\n2022-12-08 17:26:31,061 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Next page Query-object could not be collected\r\n2022-12-08 17:26:31,078 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Next page merge could not be collected\r\n2022-12-08 17:26:31,078 eodag.plugins.search.qssearch [DEBUG ] (qssearch ) Adapting 8 plugin results to eodag product representation\r\n2022-12-08 17:26:31,106 eodag.plugins.crunch.filter_overlap [DEBUG ] (filter_overlap ) Start filtering for overlapping products\r\n2022-12-08 17:26:31,106 eodag.plugins.crunch.filter_overlap [WARNING ] (filter_overlap ) geometry not found in cruncher arguments, filtering disabled.\r\n2022-12-08 17:26:31,106 eodag.plugins.crunch.filter_property [DEBUG ] (filter_property ) Start filtering for products matching operator.eq(product.properties['sensorMode'], spotlight)\r\n2022-12-08 17:26:31,106 eodag.plugins.crunch.filter_property [INFO ] (filter_property ) Finished filtering products. 4 resulting products\r\n2022-12-08 17:26:31,106 eodag.plugins.crunch.filter_property [DEBUG ] (filter_property ) Start filtering for products matching operator.eq(product.properties['sar:product_type'], SICD)\r\n2022-12-08 17:26:31,106 eodag.plugins.crunch.filter_property [INFO ] (filter_property ) Finished filtering products. 1 resulting products\r\n2022-12-08 17:26:31,109 eodag.core [INFO ] (core ) Found 1 result(s) on provider 'capella'\r\n2022-12-08 17:26:31,109 eodag.core [INFO ] (core ) Downloading 1 products\r\nDownloaded products: 0%| | 0/1 [00:00<?, ?product/s]\r\n0.00B [00:00, ?B/s]\r\nCAPELLA_C05_SP_SICD_HH_20220320114010_20220320114013: 0.00B [00:00, ?B/s]2022-12-08 17:26:31,110 eodag.plugins.download.base [INFO ] (base ) Download url: Not Available\r\n2022-12-08 17:26:32,718 eodag.plugins.download.aws [DEBUG ] (aws ) Auth using _get_authenticated_objects_unsigned succeeded\r\nCAPELLA_C05_SP_SICD_HH_20220320114010_20220320114013: 100%|██████████| 699M/699M [01:20<00:00, 8.73MB/s]\r\n2022-12-08 17:27:53,399 eodag.api.product [DEBUG ] (_product ) Product location updated from 'Not Available' to 'file:///D:/capella_eodag/CAPELLA_C05_SP_SICD_HH_20220320114010_20220320114013'\r\n2022-12-08 17:27:53,399 eodag.api.product [INFO ] (_product ) Remote location of the product is still available through its 'remote_location' property: Not Available\r\nDownloaded products: 100%|██████████| 1/1 [01:22<00:00, 82.29s/product]\r\n```\r\n\r\n**Environment:**\r\n - Python version: `Python 3.9.15`\r\n - EODAG version: `eodag (Earth Observation Data Access Gateway): version 2.7.0`\r\n\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex dd8a54a7..dec2c197 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -73,6 +73,7 @@ from eodag.utils import (\n parse_qsl,\n urlsplit,\n GENERIC_PRODUCT_TYPE,\n+ flatten_top_directories,\n )\n from eodag.utils.exceptions import (\n AddressNotFound,\ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex 8616d6c2..04b4ad9b 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -16,15 +16,19 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n \n+import os\n import sys\n import unittest\n from contextlib import closing\n from datetime import datetime\n from io import StringIO\n+from pathlib import Path\n+from tempfile import TemporaryDirectory\n \n from tests.context import (\n DownloadedCallback,\n ProgressCallback,\n+ flatten_top_directories,\n get_bucket_name_and_prefix,\n get_timestamp,\n merge_mappings,\n@@ -215,3 +219,46 @@ class TestUtils(unittest.TestCase):\n ),\n (\"bucket\", \"path/to/product\"),\n )\n+\n+ def test_flatten_top_dirs(self):\n+ \"\"\"flatten_top_dirs must flatten directory structure\"\"\"\n+ with TemporaryDirectory() as nested_dir_root:\n+ os.makedirs(os.path.join(nested_dir_root, \"a\", \"b\", \"c1\"))\n+ os.makedirs(os.path.join(nested_dir_root, \"a\", \"b\", \"c2\"))\n+ # create empty files\n+ open(os.path.join(nested_dir_root, \"a\", \"b\", \"c1\", \"foo\"), \"a\").close()\n+ open(os.path.join(nested_dir_root, \"a\", \"b\", \"c2\", \"bar\"), \"a\").close()\n+ open(os.path.join(nested_dir_root, \"a\", \"b\", \"c2\", \"baz\"), \"a\").close()\n+\n+ flatten_top_directories(nested_dir_root)\n+\n+ dir_content = list(Path(nested_dir_root).glob(\"**/*\"))\n+\n+ self.assertEqual(len(dir_content), 5)\n+ self.assertIn(Path(nested_dir_root) / \"c1\", dir_content)\n+ self.assertIn(Path(nested_dir_root) / \"c1\" / \"foo\", dir_content)\n+ self.assertIn(Path(nested_dir_root) / \"c2\", dir_content)\n+ self.assertIn(Path(nested_dir_root) / \"c2\" / \"bar\", dir_content)\n+ self.assertIn(Path(nested_dir_root) / \"c2\" / \"baz\", dir_content)\n+\n+ def test_flatten_top_dirs_given_subdir(self):\n+ \"\"\"flatten_top_dirs must flatten directory structure using given subdirectory\"\"\"\n+ with TemporaryDirectory() as nested_dir_root:\n+ os.makedirs(os.path.join(nested_dir_root, \"a\", \"b\", \"c1\"))\n+ os.makedirs(os.path.join(nested_dir_root, \"a\", \"b\", \"c2\"))\n+ # create empty files\n+ open(os.path.join(nested_dir_root, \"a\", \"b\", \"c1\", \"foo\"), \"a\").close()\n+ open(os.path.join(nested_dir_root, \"a\", \"b\", \"c2\", \"bar\"), \"a\").close()\n+ open(os.path.join(nested_dir_root, \"a\", \"b\", \"c2\", \"baz\"), \"a\").close()\n+\n+ flatten_top_directories(nested_dir_root, os.path.join(nested_dir_root, \"a\"))\n+\n+ dir_content = list(Path(nested_dir_root).glob(\"**/*\"))\n+\n+ self.assertEqual(len(dir_content), 6)\n+ self.assertIn(Path(nested_dir_root) / \"b\", dir_content)\n+ self.assertIn(Path(nested_dir_root) / \"b\" / \"c1\", dir_content)\n+ self.assertIn(Path(nested_dir_root) / \"b\" / \"c1\" / \"foo\", dir_content)\n+ self.assertIn(Path(nested_dir_root) / \"b\" / \"c2\", dir_content)\n+ self.assertIn(Path(nested_dir_root) / \"b\" / \"c2\" / \"bar\", dir_content)\n+ self.assertIn(Path(nested_dir_root) / \"b\" / \"c2\" / \"baz\", dir_content)\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_media\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 2,\n \"test_score\": 0\n },\n \"num_modified_files\": 3\n}"},"version":{"kind":"string","value":"2.7"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@73e95cb6407329faf860cb775e1dd61838e6a2c4#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.7.1.dev4+g73e95cb6\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_utils.py::TestUtils::test_downloaded_callback","tests/units/test_utils.py::TestUtils::test_flatten_top_dirs","tests/units/test_utils.py::TestUtils::test_flatten_top_dirs_given_subdir","tests/units/test_utils.py::TestUtils::test_get_bucket_name_and_prefix","tests/units/test_utils.py::TestUtils::test_merge_mappings","tests/units/test_utils.py::TestUtils::test_path_to_uri","tests/units/test_utils.py::TestUtils::test_progresscallback_copy","tests/units/test_utils.py::TestUtils::test_progresscallback_disable","tests/units/test_utils.py::TestUtils::test_progresscallback_init","tests/units/test_utils.py::TestUtils::test_progresscallback_init_customize","tests/units/test_utils.py::TestUtils::test_uri_to_path","tests/units/test_utils.py::TestUtils::test_utils_get_timestamp"],"string":"[\n \"tests/units/test_utils.py::TestUtils::test_downloaded_callback\",\n \"tests/units/test_utils.py::TestUtils::test_flatten_top_dirs\",\n \"tests/units/test_utils.py::TestUtils::test_flatten_top_dirs_given_subdir\",\n \"tests/units/test_utils.py::TestUtils::test_get_bucket_name_and_prefix\",\n \"tests/units/test_utils.py::TestUtils::test_merge_mappings\",\n \"tests/units/test_utils.py::TestUtils::test_path_to_uri\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_copy\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_disable\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_init\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_init_customize\",\n \"tests/units/test_utils.py::TestUtils::test_uri_to_path\",\n \"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":471,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-586"},"base_commit":{"kind":"string","value":"3465afe00a492e73bfd517f19c409ba21196f85f"},"created_at":{"kind":"string","value":"2022-12-20 10:39:22"},"environment_setup_commit":{"kind":"string","value":"6fee322d19ecc2805f7ab44139b3c555b8cad40f"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 11m 15s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") -17s\n331 tests +3 329 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +4 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") - 1 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n662 runs +6 657 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +7 5 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") - 1 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit a6388a0a. ± Comparison against base commit 3465afe0.\n\n[test-results]:data:application/gzip;base64,H4sIABuToWMC/02MSw7CIBQAr9KwdsEn/LyMeSIkxLYYPivj3QUL2OXMJPNGzq82oetCLwtKxecJjxIh+7BXFJJXUVNukTEy6JaKMU1R/VdP/+qLQzjwaxV4ChtjiN3EsrenELTDWAoupzmOfPBp+OPzz4Rt87kCAsGUAgzgjNSEKKExBXsHMMQ5x2QtGLC06PMFBJYnbAUBAAA=\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/api/product/\\_product.py | `83%` | :white_check_mark: |\n| tests/units/test\\_eoproduct.py | `99%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/api/product/\\_product.py | `83%` | :white_check_mark: |\n| tests/units/test\\_eoproduct.py | `99%` | :white_check_mark: |\n| eodag/api/product/\\_product.py | `83%` | :white_check_mark: |\n| tests/units/test\\_eoproduct.py | `99%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against a6388a0aafc791186902aebaac1fff370aa0a07e </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/api/product/_product.py b/eodag/api/product/_product.py\nindex 777b3026..a0a3d78c 100644\n--- a/eodag/api/product/_product.py\n+++ b/eodag/api/product/_product.py\n@@ -221,15 +221,30 @@ class EOProduct(object):\n \"\"\"\n self.downloader = downloader\n self.downloader_auth = authenticator\n+\n # resolve locations and properties if needed with downloader configuration\n- self.location = self.location % vars(self.downloader.config)\n- self.remote_location = self.remote_location % vars(self.downloader.config)\n+ location_attrs = (\"location\", \"remote_location\")\n+ for location_attr in location_attrs:\n+ try:\n+ setattr(\n+ self,\n+ location_attr,\n+ getattr(self, location_attr) % vars(self.downloader.config),\n+ )\n+ except ValueError as e:\n+ logger.debug(\n+ f\"Could not resolve product.{location_attr} ({getattr(self, location_attr)})\"\n+ f\" in register_downloader: {str(e)}\"\n+ )\n+\n for k, v in self.properties.items():\n if isinstance(v, str):\n try:\n self.properties[k] = v % vars(self.downloader.config)\n- except TypeError:\n- pass\n+ except (TypeError, ValueError) as e:\n+ logger.debug(\n+ f\"Could not resolve {k} property ({v}) in register_downloader: {str(e)}\"\n+ )\n \n def download(\n self,\n"},"problem_statement":{"kind":"string","value":"percent variables parsing error in product location\nIf product location contains some percent variables, it may conflict with `register_downloader()` internal parsing mechanism and raise:\r\n```\r\nTraceback (most recent call last):\r\n File \"/usr/local/lib/python3.8/dist-packages/eodag/api/core.py\", line 1474, in _do_search\r\n eo_product.register_downloader(\r\n File \"/usr/local/lib/python3.8/dist-packages/eodag/api/product/_product.py\", line 224, in register_downloader\r\n self.location = self.location % vars(self.downloader.config)\r\nValueError: unsupported format character 'B' (0x42) at index 72\r\n2022-12-19 16:27:20,206 - eodag.core - ERROR - Error while searching on provider foo (ignored):\r\nTraceback (most recent call last):\r\n File \"/usr/local/lib/python3.8/dist-packages/eodag/api/core.py\", line 1474, in _do_search\r\n eo_product.register_downloader(\r\n File \"/usr/local/lib/python3.8/dist-packages/eodag/api/product/_product.py\", line 224, in register_downloader\r\n self.location = self.location % vars(self.downloader.config)\r\nValueError: unsupported format character 'B' (0x42) at index 72\r\n```\r\nReproductible as:\r\n```py\r\n\"https://example.com/%257B\" % ({})\r\n---------------------------------------------------------------------------\r\nValueError Traceback (most recent call last)\r\nCell In [26], line 1\r\n----> 1 \"https://example.com/%257B\" % ({})\r\n\r\nValueError: unsupported format character 'B' (0x42) at index 24\r\n```\r\n\r\n- [ ] Intercept error, log a warning and ignore this step if it occurs "},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py\nindex ed716125..81bdd00f 100644\n--- a/tests/units/test_eoproduct.py\n+++ b/tests/units/test_eoproduct.py\n@@ -453,3 +453,84 @@ class TestEOProduct(EODagTestCase):\n # progress bar finished\n self.assertEqual(progress_callback.n, progress_callback.total)\n self.assertGreater(progress_callback.total, 0)\n+\n+ def test_eoproduct_register_downloader(self):\n+ \"\"\"eoproduct.register_donwloader must set download and auth plugins\"\"\"\n+ product = self._dummy_product()\n+\n+ self.assertIsNone(product.downloader)\n+ self.assertIsNone(product.downloader_auth)\n+\n+ downloader = mock.MagicMock()\n+ downloader_auth = mock.MagicMock()\n+\n+ product.register_downloader(downloader, downloader_auth)\n+\n+ self.assertEqual(product.downloader, downloader)\n+ self.assertEqual(product.downloader_auth, downloader_auth)\n+\n+ def test_eoproduct_register_downloader_resolve_ok(self):\n+ \"\"\"eoproduct.register_donwloader must resolve locations and properties\"\"\"\n+ downloadable_product = self._dummy_downloadable_product(\n+ product=self._dummy_product(\n+ properties=dict(\n+ self.eoproduct_props,\n+ **{\n+ \"downloadLink\": \"%(base_uri)s/is/resolved\",\n+ \"otherProperty\": \"%(outputs_prefix)s/also/resolved\",\n+ },\n+ )\n+ )\n+ )\n+ self.assertEqual(\n+ downloadable_product.location,\n+ f\"{downloadable_product.downloader.config.base_uri}/is/resolved\",\n+ )\n+ self.assertEqual(\n+ downloadable_product.remote_location,\n+ f\"{downloadable_product.downloader.config.base_uri}/is/resolved\",\n+ )\n+ self.assertEqual(\n+ downloadable_product.properties[\"downloadLink\"],\n+ f\"{downloadable_product.downloader.config.base_uri}/is/resolved\",\n+ )\n+ self.assertEqual(\n+ downloadable_product.properties[\"otherProperty\"],\n+ f\"{downloadable_product.downloader.config.outputs_prefix}/also/resolved\",\n+ )\n+\n+ def test_eoproduct_register_downloader_resolve_ignored(self):\n+ \"\"\"eoproduct.register_donwloader must ignore unresolvable locations and properties\"\"\"\n+ with self.assertLogs(level=\"DEBUG\") as cm:\n+ downloadable_product = self._dummy_downloadable_product(\n+ product=self._dummy_product(\n+ properties=dict(\n+ self.eoproduct_props,\n+ **{\n+ \"downloadLink\": \"%257B/cannot/be/resolved\",\n+ \"otherProperty\": \"%/%s/neither/resolved\",\n+ },\n+ )\n+ )\n+ )\n+ self.assertEqual(downloadable_product.location, \"%257B/cannot/be/resolved\")\n+ self.assertEqual(\n+ downloadable_product.remote_location, \"%257B/cannot/be/resolved\"\n+ )\n+ self.assertEqual(\n+ downloadable_product.properties[\"downloadLink\"],\n+ \"%257B/cannot/be/resolved\",\n+ )\n+ self.assertEqual(\n+ downloadable_product.properties[\"otherProperty\"],\n+ \"%/%s/neither/resolved\",\n+ )\n+\n+ needed_logs = [\n+ f\"Could not resolve product.location ({downloadable_product.location})\",\n+ f\"Could not resolve product.remote_location ({downloadable_product.remote_location})\",\n+ f\"Could not resolve downloadLink property ({downloadable_product.properties['downloadLink']})\",\n+ f\"Could not resolve otherProperty property ({downloadable_product.properties['otherProperty']})\",\n+ ]\n+ for needed_log in needed_logs:\n+ self.assertTrue(any(needed_log in log for log in cm.output))\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 0,\n \"test_score\": 0\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.7"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@3465afe00a492e73bfd517f19c409ba21196f85f#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.7.1.dev9+g3465afe0\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_register_downloader_resolve_ignored"],"string":"[\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_register_downloader_resolve_ignored\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_delete_archive","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_progress_bar","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_register_downloader","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_register_downloader_resolve_ok","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom","tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none"],"string":"[\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_delete_archive\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_progress_bar\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_from_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_geointerface\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_http_error\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_no_quicklook_url\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_get_quicklook_ok_existing\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_register_downloader\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_register_downloader_resolve_ok\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_geom\",\n \"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":472,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-588"},"base_commit":{"kind":"string","value":"c91cba779c1913985640b99e2c019c9c000bb4a0"},"created_at":{"kind":"string","value":"2022-12-20 15:07:48"},"environment_setup_commit":{"kind":"string","value":"6fee322d19ecc2805f7ab44139b3c555b8cad40f"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 10m 32s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") - 1m 38s\n332 tests +1 329 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +1 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n664 runs +2 658 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +2 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 5341847d. ± Comparison against base commit c91cba77.\n\n[test-results]:data:application/gzip;base64,H4sIACnSoWMC/03MSw6DIBSF4a0Yxh0AFy7azTTKIyFVaRBGTfdeaBUd/t9Jzps4P9uN3Dt+68iWfWphchyTD2tJhAplSnWEsx5b1roSH056+lelBm70cwHawMYY4i4xr/UTUexxXKLsm/wf8ejL4a+vfzosi08liATBeqGMFZJqbq1RCMoNVDpAwxTIiUmhJiCfL2RcS88FAQAA\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/plugins/authentication/header.py | `84%` | :white_check_mark: |\n| eodag/plugins/authentication/openid\\_connect.py | `27%` | :x: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/plugins/authentication/header.py | `84%` | :white_check_mark: |\n| eodag/plugins/authentication/openid\\_connect.py | `27%` | :x: |\n| eodag/plugins/authentication/header.py | `84%` | :white_check_mark: |\n| eodag/plugins/authentication/openid\\_connect.py | `26%` | :x: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 5341847de450c2eed7637f905f36d1735b1547b3 </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/authentication/header.py b/eodag/plugins/authentication/header.py\nindex 48d27cf9..0913296d 100644\n--- a/eodag/plugins/authentication/header.py\n+++ b/eodag/plugins/authentication/header.py\n@@ -22,7 +22,7 @@ from eodag.plugins.authentication import Authentication\n \n \n class HTTPHeaderAuth(Authentication):\n- \"\"\"A Generic Authentication plugin.\n+ \"\"\"HTTPHeaderAuth Authentication plugin.\n \n This plugin enables implementation of custom HTTP authentication scheme (other than Basic, Digest, Token\n negotiation et al.) using HTTP headers.\n@@ -65,7 +65,7 @@ class HTTPHeaderAuth(Authentication):\n \n \n class HeaderAuth(requests.auth.AuthBase):\n- \"\"\"HeaderAuth authentication plugin\"\"\"\n+ \"\"\"HeaderAuth custom authentication class to be used with requests module\"\"\"\n \n def __init__(self, authentication_headers):\n self.auth_headers = authentication_headers\ndiff --git a/eodag/plugins/authentication/openid_connect.py b/eodag/plugins/authentication/openid_connect.py\nindex 73f53c8a..effbea6e 100644\n--- a/eodag/plugins/authentication/openid_connect.py\n+++ b/eodag/plugins/authentication/openid_connect.py\n@@ -279,7 +279,7 @@ class OIDCAuthorizationCodeFlowAuth(Authentication):\n \n \n class CodeAuthorizedAuth(AuthBase):\n- \"\"\"CodeAuthorizedAuth authentication plugin\"\"\"\n+ \"\"\"CodeAuthorizedAuth custom authentication class to be used with requests module\"\"\"\n \n def __init__(self, token, where, key=None):\n self.token = token\ndiff --git a/eodag/plugins/authentication/token.py b/eodag/plugins/authentication/token.py\nindex a9e8f1cd..9419f85c 100644\n--- a/eodag/plugins/authentication/token.py\n+++ b/eodag/plugins/authentication/token.py\n@@ -21,7 +21,7 @@ from requests import RequestException\n \n from eodag.plugins.authentication.base import Authentication\n from eodag.utils import RequestsTokenAuth\n-from eodag.utils.exceptions import MisconfiguredError\n+from eodag.utils.exceptions import AuthenticationError, MisconfiguredError\n from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n \n \n@@ -49,18 +49,17 @@ class TokenAuth(Authentication):\n req_kwargs = (\n {\"headers\": self.config.headers} if hasattr(self.config, \"headers\") else {}\n )\n-\n- # First get the token\n- response = requests.post(\n- self.config.auth_uri,\n- data=self.config.credentials,\n- timeout=HTTP_REQ_TIMEOUT,\n- **req_kwargs,\n- )\n try:\n+ # First get the token\n+ response = requests.post(\n+ self.config.auth_uri,\n+ data=self.config.credentials,\n+ timeout=HTTP_REQ_TIMEOUT,\n+ **req_kwargs,\n+ )\n response.raise_for_status()\n except RequestException as e:\n- raise e\n+ raise AuthenticationError(f\"Could no get authentication token: {str(e)}\")\n else:\n if getattr(self.config, \"token_type\", \"text\") == \"json\":\n token = response.json()[self.config.token_key]\n"},"problem_statement":{"kind":"string","value":"TokenAuth should raise AuthenticationError\nIn `TokenAuth`, catch `RequestException` the same way as it was done for https://github.com/CS-SI/eodag/pull/555 and redirect to an `AuthenticationError`"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_auth_plugins.py b/tests/units/test_auth_plugins.py\nindex a1ad599b..60c093b1 100644\n--- a/tests/units/test_auth_plugins.py\n+++ b/tests/units/test_auth_plugins.py\n@@ -20,9 +20,10 @@ import unittest\n from unittest import mock\n \n from requests.auth import AuthBase\n+from requests.exceptions import RequestException\n \n from eodag.config import override_config_from_mapping\n-from tests.context import MisconfiguredError, PluginManager\n+from tests.context import AuthenticationError, MisconfiguredError, PluginManager\n \n \n class BaseAuthPluginTest(unittest.TestCase):\n@@ -167,3 +168,18 @@ class TestAuthPluginTokenAuth(BaseAuthPluginTest):\n req = mock.Mock(headers={})\n auth(req)\n assert req.headers[\"Authorization\"] == \"Bearer this_is_test_token\"\n+\n+ @mock.patch(\"eodag.plugins.authentication.token.requests.post\", autospec=True)\n+ def test_plugins_auth_tokenauth_request_error(self, mock_requests_post):\n+ \"\"\"TokenAuth.authenticate must raise an AuthenticationError if a request error occurs\"\"\"\n+ auth_plugin = self.get_auth_plugin(\"provider_json_token_simple_url\")\n+\n+ auth_plugin.config.credentials = {\"foo\": \"bar\"}\n+\n+ # mock token post request response\n+ mock_requests_post.side_effect = RequestException\n+\n+ self.assertRaises(\n+ AuthenticationError,\n+ auth_plugin.authenticate,\n+ )\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 0,\n \"issue_text_score\": 1,\n \"test_score\": 0\n },\n \"num_modified_files\": 3\n}"},"version":{"kind":"string","value":"2.7"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[tutorials]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"affine==2.4.0\nanyio==4.9.0\nargon2-cffi==23.1.0\nargon2-cffi-bindings==21.2.0\narrow==1.3.0\nasttokens==3.0.0\nasync-lru==2.0.5\nattrs==25.3.0\nbabel==2.17.0\nbeautifulsoup4==4.13.3\nbleach==6.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\nbranca==0.8.1\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncftime==1.6.4.post1\ncharset-normalizer==3.4.1\nclick==8.1.8\nclick-plugins==1.1.1\ncligj==0.7.2\ncomm==0.2.2\ncontourpy==1.3.0\ncoverage==7.8.0\ncycler==0.12.1\ndatapi==0.3.0\ndebugpy==1.8.13\ndecorator==5.2.1\ndefusedxml==0.7.1\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@c91cba779c1913985640b99e2c019c9c000bb4a0#egg=eodag\neodag-cube==0.3.1\nexceptiongroup==1.2.2\nexecnet==2.1.1\nexecuting==2.2.0\nfastjsonschema==2.21.1\nflasgger==0.9.7.1\nFlask==3.1.0\nfolium==0.19.5\nfonttools==4.56.0\nfqdn==1.5.1\ngeojson==3.2.0\ngrpcio==1.71.0\nh11==0.14.0\nhttpcore==1.0.7\nhttpx==0.28.1\nidna==3.10\nimageio==2.37.0\nimportlib_metadata==8.6.1\nimportlib_resources==6.5.2\niniconfig==2.1.0\nipykernel==6.29.5\nipyleaflet==0.19.2\nipython==8.18.1\nipywidgets==8.1.5\nisoduration==20.11.0\nitsdangerous==2.2.0\njedi==0.19.2\nJinja2==3.1.6\njmespath==1.0.1\njson5==0.10.0\njsonpath-ng==1.7.0\njsonpointer==3.0.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\njupyter==1.1.1\njupyter-console==6.6.3\njupyter-events==0.12.0\njupyter-leaflet==0.19.2\njupyter-lsp==2.2.5\njupyter_client==8.6.3\njupyter_core==5.7.2\njupyter_server==2.15.0\njupyter_server_terminals==0.5.3\njupyterlab==4.3.6\njupyterlab_pygments==0.3.0\njupyterlab_server==2.27.3\njupyterlab_widgets==3.0.13\nkiwisolver==1.4.7\nlxml==5.3.1\nMarkupSafe==3.0.2\nmatplotlib==3.9.4\nmatplotlib-inline==0.1.7\nmistune==3.1.3\nmultiurl==0.3.5\nnbclient==0.10.2\nnbconvert==7.16.6\nnbformat==5.10.4\nnest-asyncio==1.6.0\nnetCDF4==1.7.2\nnotebook==7.3.3\nnotebook_shim==0.2.4\nnumpy==2.0.2\noverrides==7.7.0\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\npandocfilters==1.5.1\nparso==0.8.4\npexpect==4.9.0\npillow==11.1.0\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\nprometheus_client==0.21.1\nprompt_toolkit==3.0.50\nprotobuf==3.20.0\npsutil==7.0.0\nptyprocess==0.7.0\npure_eval==0.2.3\npycparser==2.22\nPygments==2.19.1\npyparsing==3.2.3\npyproj==3.6.1\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-json-logger==3.3.0\npytz==2025.2\nPyYAML==6.0.2\npyzmq==26.3.0\nrasterio==1.4.3\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrfc3339-validator==0.1.4\nrfc3986-validator==0.1.1\nrioxarray==0.15.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSend2Trash==1.8.3\nshapely==2.0.7\nsix==1.17.0\nsniffio==1.3.1\nsoupsieve==2.6\nstack-data==0.6.3\nterminado==0.18.1\ntinycss2==1.4.0\ntomli==2.2.1\ntornado==6.4.2\ntqdm==4.67.1\ntraitlets==5.14.3\ntraittypes==0.2.1\ntypes-python-dateutil==2.9.0.20241206\ntyping_extensions==4.13.0\ntzdata==2025.2\nuri-template==1.3.0\nurllib3==1.26.20\nusgs==0.3.5\nwcwidth==0.2.13\nwebcolors==24.11.1\nwebencodings==0.5.1\nwebsocket-client==1.8.0\nWerkzeug==3.1.3\nWhoosh==2.7.4\nwidgetsnbextension==4.0.13\nxarray==2024.7.0\nxyzservices==2025.1.0\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - affine==2.4.0\n - anyio==4.9.0\n - argon2-cffi==23.1.0\n - argon2-cffi-bindings==21.2.0\n - arrow==1.3.0\n - asttokens==3.0.0\n - async-lru==2.0.5\n - attrs==25.3.0\n - babel==2.17.0\n - beautifulsoup4==4.13.3\n - bleach==6.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - branca==0.8.1\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cftime==1.6.4.post1\n - charset-normalizer==3.4.1\n - click==8.1.8\n - click-plugins==1.1.1\n - cligj==0.7.2\n - comm==0.2.2\n - contourpy==1.3.0\n - coverage==7.8.0\n - cycler==0.12.1\n - datapi==0.3.0\n - debugpy==1.8.13\n - decorator==5.2.1\n - defusedxml==0.7.1\n - ecmwf-api-client==1.6.5\n - eodag==2.7.1.dev10+gc91cba77\n - eodag-cube==0.3.1\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - executing==2.2.0\n - fastjsonschema==2.21.1\n - flasgger==0.9.7.1\n - flask==3.1.0\n - folium==0.19.5\n - fonttools==4.56.0\n - fqdn==1.5.1\n - geojson==3.2.0\n - grpcio==1.71.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httpx==0.28.1\n - idna==3.10\n - imageio==2.37.0\n - importlib-metadata==8.6.1\n - importlib-resources==6.5.2\n - iniconfig==2.1.0\n - ipykernel==6.29.5\n - ipyleaflet==0.19.2\n - ipython==8.18.1\n - ipywidgets==8.1.5\n - isoduration==20.11.0\n - itsdangerous==2.2.0\n - jedi==0.19.2\n - jinja2==3.1.6\n - jmespath==1.0.1\n - json5==0.10.0\n - jsonpath-ng==1.7.0\n - jsonpointer==3.0.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - jupyter==1.1.1\n - jupyter-client==8.6.3\n - jupyter-console==6.6.3\n - jupyter-core==5.7.2\n - jupyter-events==0.12.0\n - jupyter-leaflet==0.19.2\n - jupyter-lsp==2.2.5\n - jupyter-server==2.15.0\n - jupyter-server-terminals==0.5.3\n - jupyterlab==4.3.6\n - jupyterlab-pygments==0.3.0\n - jupyterlab-server==2.27.3\n - jupyterlab-widgets==3.0.13\n - kiwisolver==1.4.7\n - lxml==5.3.1\n - markupsafe==3.0.2\n - matplotlib==3.9.4\n - matplotlib-inline==0.1.7\n - mistune==3.1.3\n - multiurl==0.3.5\n - nbclient==0.10.2\n - nbconvert==7.16.6\n - nbformat==5.10.4\n - nest-asyncio==1.6.0\n - netcdf4==1.7.2\n - notebook==7.3.3\n - notebook-shim==0.2.4\n - numpy==2.0.2\n - overrides==7.7.0\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - pandocfilters==1.5.1\n - parso==0.8.4\n - pexpect==4.9.0\n - pillow==11.1.0\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - prometheus-client==0.21.1\n - prompt-toolkit==3.0.50\n - protobuf==3.20.0\n - psutil==7.0.0\n - ptyprocess==0.7.0\n - pure-eval==0.2.3\n - pycparser==2.22\n - pygments==2.19.1\n - pyparsing==3.2.3\n - pyproj==3.6.1\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-json-logger==3.3.0\n - pytz==2025.2\n - pyyaml==6.0.2\n - pyzmq==26.3.0\n - rasterio==1.4.3\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - rfc3339-validator==0.1.4\n - rfc3986-validator==0.1.1\n - rioxarray==0.15.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - send2trash==1.8.3\n - shapely==2.0.7\n - six==1.17.0\n - sniffio==1.3.1\n - soupsieve==2.6\n - stack-data==0.6.3\n - terminado==0.18.1\n - tinycss2==1.4.0\n - tomli==2.2.1\n - tornado==6.4.2\n - tqdm==4.67.1\n - traitlets==5.14.3\n - traittypes==0.2.1\n - types-python-dateutil==2.9.0.20241206\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - uri-template==1.3.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - wcwidth==0.2.13\n - webcolors==24.11.1\n - webencodings==0.5.1\n - websocket-client==1.8.0\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - widgetsnbextension==4.0.13\n - xarray==2024.7.0\n - xyzservices==2025.1.0\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_request_error"],"string":"[\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_request_error\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_json_token_authenticate","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_text_token_authenticate","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_empty","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_missing","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_ok","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_ok"],"string":"[\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_json_token_authenticate\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_text_token_authenticate\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_empty\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_missing\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_ok\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_ok\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-588"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-588"}}},{"rowIdx":473,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-592"},"base_commit":{"kind":"string","value":"870580e4565e533838a1b3c1b2acd2edd335de11"},"created_at":{"kind":"string","value":"2022-12-22 15:41:21"},"environment_setup_commit":{"kind":"string","value":"6fee322d19ecc2805f7ab44139b3c555b8cad40f"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 11m 46s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") + 2m 0s\n333 tests +1 330 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +1 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n666 runs +2 660 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +2 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit b9d4eacc. ± Comparison against base commit 870580e4.\n\n[test-results]:data:application/gzip;base64,H4sIAB99pGMC/02OQQ6DIBBFr2JYd4FCx9rLNDAMCalKg7AyvXvBKrp8b35eZmXWjbSwZ9PdGrYkFyuYFFR0fs7Yc8gin2I5CiEOei0JcVP8VG/3KaoKq9yYxbmgEHzYTUhzaQLADkcSgFfzL9bFJbjxtYd+mlzMwPRgJClEKfPDWraiax9IHAm4JDsYbam3d+Ds+wPf2302BQEAAA==\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/api/product/metadata\\_mapping.py | `80%` | :white_check_mark: |\n| eodag/plugins/search/qssearch.py | `77%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `85%` | :white_check_mark: |\n| eodag/api/product/metadata\\_mapping.py | `80%` | :white_check_mark: |\n| eodag/plugins/search/qssearch.py | `77%` | :white_check_mark: |\n| eodag/api/product/metadata\\_mapping.py | `79%` | :white_check_mark: |\n| eodag/plugins/search/qssearch.py | `77%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against b9d4eacc44333b413218ce0ce604ef9dbfe7f560 </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/api/product/metadata_mapping.py b/eodag/api/product/metadata_mapping.py\nindex e449a643..3f014290 100644\n--- a/eodag/api/product/metadata_mapping.py\n+++ b/eodag/api/product/metadata_mapping.py\n@@ -302,7 +302,10 @@ def format_metadata(search_param, *args, **kwargs):\n \n @staticmethod\n def convert_csv_list(values_list):\n- return \",\".join([str(x) for x in values_list])\n+ if isinstance(values_list, list):\n+ return \",\".join([str(x) for x in values_list])\n+ else:\n+ return values_list\n \n @staticmethod\n def convert_remove_extension(string):\ndiff --git a/eodag/plugins/search/qssearch.py b/eodag/plugins/search/qssearch.py\nindex 6595d429..dda336da 100644\n--- a/eodag/plugins/search/qssearch.py\n+++ b/eodag/plugins/search/qssearch.py\n@@ -33,6 +33,7 @@ from eodag.api.product.metadata_mapping import (\n get_metadata_path,\n get_metadata_path_value,\n get_search_param,\n+ mtd_cfg_as_jsonpath,\n properties_from_json,\n properties_from_xml,\n )\n@@ -214,19 +215,19 @@ class QueryStringSearch(Search):\n \n for product_type_result in result:\n # providers_config extraction\n- mapping_config = {\n- k: (None, cached_parse(v))\n- for k, v in self.config.discover_product_types[\n- \"generic_product_type_parsable_properties\"\n- ].items()\n- }\n- mapping_config[\"generic_product_type_id\"] = (\n- None,\n- cached_parse(\n+ mapping_config = {}\n+ mapping_config = mtd_cfg_as_jsonpath(\n+ dict(\n self.config.discover_product_types[\n- \"generic_product_type_id\"\n- ]\n+ \"generic_product_type_parsable_properties\"\n+ ],\n+ **{\n+ \"generic_product_type_id\": self.config.discover_product_types[\n+ \"generic_product_type_id\"\n+ ]\n+ },\n ),\n+ mapping_config,\n )\n \n extracted_mapping = properties_from_json(\n@@ -244,15 +245,52 @@ class QueryStringSearch(Search):\n ),\n )\n # product_types_config extraction\n- mapping_config = {\n- k: (None, cached_parse(v))\n- for k, v in self.config.discover_product_types[\n+ mapping_config = {}\n+ mapping_config = mtd_cfg_as_jsonpath(\n+ self.config.discover_product_types[\n \"generic_product_type_parsable_metadata\"\n- ].items()\n- }\n+ ],\n+ mapping_config,\n+ )\n conf_update_dict[\"product_types_config\"][\n generic_product_type_id\n ] = properties_from_json(product_type_result, mapping_config)\n+\n+ # update keywords\n+ keywords_fields = [\n+ \"instrument\",\n+ \"platform\",\n+ \"platformSerialIdentifier\",\n+ \"processingLevel\",\n+ \"keywords\",\n+ ]\n+ keywords_values_str = \",\".join(\n+ [generic_product_type_id]\n+ + [\n+ str(\n+ conf_update_dict[\"product_types_config\"][\n+ generic_product_type_id\n+ ][kf]\n+ )\n+ for kf in keywords_fields\n+ if conf_update_dict[\"product_types_config\"][\n+ generic_product_type_id\n+ ][kf]\n+ != NOT_AVAILABLE\n+ ]\n+ )\n+ keywords_values_str = keywords_values_str.replace(\n+ \", \", \",\"\n+ ).replace(\" \", \"-\")\n+ keywords_values_str = re.sub(\n+ r\"[\\[\\]'\\\"]\", \"\", keywords_values_str\n+ )\n+ keywords_values_str = \",\".join(\n+ set(keywords_values_str.split(\",\"))\n+ )\n+ conf_update_dict[\"product_types_config\"][\n+ generic_product_type_id\n+ ][\"keywords\"] = keywords_values_str\n except KeyError as e:\n logger.warning(\n \"Incomplete %s discover_product_types configuration: %s\",\ndiff --git a/eodag/resources/stac_provider.yml b/eodag/resources/stac_provider.yml\nindex 3018f52c..22981b82 100644\n--- a/eodag/resources/stac_provider.yml\n+++ b/eodag/resources/stac_provider.yml\n@@ -38,11 +38,11 @@ search:\n productType: '$.id'\n generic_product_type_parsable_metadata:\n abstract: '$.description'\n- instrument: '$.summaries.instruments'\n- platform: '$.summaries.constellation'\n- platformSerialIdentifier: '$.summaries.platform'\n+ instrument: '{$.summaries.instruments#csv_list}'\n+ platform: '{$.summaries.constellation#csv_list}'\n+ platformSerialIdentifier: '{$.summaries.platform#csv_list}'\n processingLevel: '$.summaries.\"processing:level\"'\n- keywords: '$.keywords'\n+ keywords: '{$.keywords#csv_list}'\n license: '$.license'\n title: '$.title'\n missionStartDate: '$.extent.temporal.interval[0][0]'\n"},"problem_statement":{"kind":"string","value":"Add keywords to discovered product types\nAutomatically add default keywords to discovered product types to help finding them using [guess_product_type()](https://eodag.readthedocs.io/en/stable/api_reference/core.html#eodag.api.core.EODataAccessGateway.guess_product_type). \r\nSee also [Guess a product type documentation](https://eodag.readthedocs.io/en/stable/notebooks/api_user_guide/4_search.html#Guess-a-product-type)"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py\nindex ca6c2456..b25b7ea7 100644\n--- a/tests/units/test_search_plugins.py\n+++ b/tests/units/test_search_plugins.py\n@@ -187,6 +187,50 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):\n \"The FOO collection\",\n )\n \n+ @mock.patch(\n+ \"eodag.plugins.search.qssearch.QueryStringSearch._request\", autospec=True\n+ )\n+ def test_plugins_search_querystringseach_discover_product_types_keywords(\n+ self, mock__request\n+ ):\n+ \"\"\"QueryStringSearch.discover_product_types must return a dict with well formatted keywords\"\"\"\n+ # One of the providers that has a QueryStringSearch Search plugin and keywords configured\n+ provider = \"astraea_eod\"\n+ search_plugin = self.get_search_plugin(self.product_type, provider)\n+\n+ mock__request.return_value = mock.Mock()\n+ mock__request.return_value.json.return_value = {\n+ \"collections\": [\n+ {\n+ \"id\": \"foo_collection\",\n+ \"keywords\": [\"foo\", \"bar\"],\n+ \"summaries\": {\n+ \"instruments\": [\"baz\"],\n+ \"constellation\": \"qux,foo\",\n+ \"platform\": [\"quux\", \"corge\", \"bar\"],\n+ \"processing:level\": \"grault\",\n+ },\n+ },\n+ ]\n+ }\n+ conf_update_dict = search_plugin.discover_product_types()\n+ keywords_list = conf_update_dict[\"product_types_config\"][\"foo_collection\"][\n+ \"keywords\"\n+ ].split(\",\")\n+\n+ self.assertEqual(len(keywords_list), 8)\n+ for k in [\n+ \"foo_collection\",\n+ \"foo\",\n+ \"bar\",\n+ \"baz\",\n+ \"qux\",\n+ \"quux\",\n+ \"corge\",\n+ \"grault\",\n+ ]:\n+ self.assertIn(k, keywords_list)\n+\n \n class TestSearchPluginPostJsonSearch(BaseSearchPluginTest):\n def setUp(self):\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 1,\n \"test_score\": 3\n },\n \"num_modified_files\": 3\n}"},"version":{"kind":"string","value":"2.7"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@870580e4565e533838a1b3c1b2acd2edd335de11#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.7.1.dev13+g870580e4\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types_keywords"],"string":"[\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types_keywords\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda","tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_default_geometry","tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch"],"string":"[\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda\",\n \"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_default_geometry\",\n \"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":474,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-616"},"base_commit":{"kind":"string","value":"4a0d68987de913040e0ba16f9fe1d00cd10fe6e5"},"created_at":{"kind":"string","value":"2023-01-24 16:32:13"},"environment_setup_commit":{"kind":"string","value":"216edc2a7e22676ecfcbc77b71795fc319cb3dc4"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 14m 36s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") + 2m 4s\n350 tests ±0 347 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") ±0 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n700 runs ±0 694 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") ±0 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 4204d020. ± Comparison against base commit 4a0d6898.\n\n[test-results]:data:application/gzip;base64,H4sIAOkK0GMC/02Myw7CIBBFf6Vh7QJ5Fn/GwBQSYlsMj5Xx3wUV2s0k59zMeSHnV5vQbSKXCaXi84ClRJ192CvOUlRRp9xGynGneyoATTF5qId/NjWE036t4niyMYb4N7HsrSlxh54Uig3zK4rOp+CXzz0I2+ZzBcQIZgsm2AAAE1RRa+drPY4bAwqDYlISril6fwBu/Us7BQEAAA==\n\ngithub-actions[bot]: <strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `86%` | :white_check_mark: |\n| eodag/api/product/metadata\\_mapping.py | `79%` | :white_check_mark: |\n| eodag/plugins/search/build\\_search\\_result.py | `90%` | :white_check_mark: |\n| eodag/plugins/search/qssearch.py | `80%` | :white_check_mark: |\n| tests/units/test\\_search\\_plugins.py | `99%` | :white_check_mark: |\n\n<strong> </strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `86%` | :white_check_mark: |\n| eodag/api/product/metadata\\_mapping.py | `79%` | :white_check_mark: |\n| eodag/plugins/search/build\\_search\\_result.py | `90%` | :white_check_mark: |\n| eodag/plugins/search/qssearch.py | `80%` | :white_check_mark: |\n| tests/units/test\\_search\\_plugins.py | `99%` | :white_check_mark: |\n| eodag/api/product/metadata\\_mapping.py | `78%` | :white_check_mark: |\n| eodag/plugins/search/build\\_search\\_result.py | `90%` | :white_check_mark: |\n| eodag/plugins/search/qssearch.py | `80%` | :white_check_mark: |\n| tests/units/test\\_search\\_plugins.py | `99%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 4204d020bccc46393ee813eef5bbc90c947725a3 </p>"},"patch":{"kind":"string","value":"diff --git a/docs/_static/params_mapping_opensearch.csv b/docs/_static/params_mapping_opensearch.csv\nindex 3e98c49f..053fe5dc 100644\n--- a/docs/_static/params_mapping_opensearch.csv\n+++ b/docs/_static/params_mapping_opensearch.csv\n@@ -8,7 +8,7 @@ antennaLookDirection,,,,,,,,,metadata only,,,,metadata only,\n archivingCenter,,,,,,,,,metadata only,,,,metadata only,\r\n availabilityTime,metadata only,,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,,,,metadata only,:green:`queryable metadata`\r\n :abbr:`classification ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Name of the handling restrictions on the resource or metadata (String ))`,,,,,,,,,metadata only,,,,,\r\n-cloudCover,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n+cloudCover,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n completionTimeFromAscendingNode,:green:`queryable metadata`,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n :abbr:`compositeType ([OpenSearch Parameters for Collection Search] Type of composite product expressed as time period that the composite product covers (e.g. P10D for a 10 day composite) (String))`,,,,,,,,,metadata only,,,,,\r\n creationDate,metadata only,,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,metadata only,metadata only,metadata only,metadata only,:green:`queryable metadata`\r\n@@ -22,42 +22,42 @@ illuminationAzimuthAngle,metadata only,,,,:green:`queryable metadata`,:green:`qu\n illuminationElevationAngle,metadata only,,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,,,,metadata only,:green:`queryable metadata`\r\n illuminationZenithAngle,,,,,,,,,metadata only,,,,metadata only,\r\n incidenceAngleVariation,,,,,,,,,metadata only,,,,metadata only,\r\n-\":abbr:`instrument ([OpenSearch Parameters for Collection Search] A string identifying the instrument (e.g. MERIS, AATSR, ASAR, HRVIR. SAR). (String))`\",metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n+\":abbr:`instrument ([OpenSearch Parameters for Collection Search] A string identifying the instrument (e.g. MERIS, AATSR, ASAR, HRVIR. SAR). (String))`\",metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n :abbr:`keyword ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Commonly used word(s) or formalised word(s) or phrase(s) used to describe the subject. (String))`,,,,metadata only,,,,,metadata only,,metadata only,metadata only,metadata only,\r\n :abbr:`language ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Language of the intellectual content of the metadata record (String ))`,,,,,,,,,metadata only,,,,,\r\n-:abbr:`lineage ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] General explanation of the data producer’s knowledge about the lineage of a dataset. (String))`,,,,,,,,,metadata only,,,,,\r\n+:abbr:`lineage ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] General explanation of the data producer’s knowledge about the lineage of a dataset. (String))`,,,,,,,,,metadata only,:green:`queryable metadata`,,,,\r\n lowestLocation,,,,,,,,,metadata only,,,,,\r\n maximumIncidenceAngle,,,,,,,,,metadata only,,,,metadata only,\r\n minimumIncidenceAngle,,,,,,,,,metadata only,,,,metadata only,\r\n modificationDate,metadata only,,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,,metadata only,metadata only,metadata only,:green:`queryable metadata`\r\n-orbitDirection,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`\r\n-orbitNumber,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`\r\n+orbitDirection,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`\r\n+orbitNumber,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`\r\n \":abbr:`orbitType ([OpenSearch Parameters for Collection Search] A string identifying the platform orbit type (e.g. LEO, GEO) (String))`\",,,,,,,,,metadata only,,,,,\r\n :abbr:`organisationName ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] A string identifying the name of the organization responsible for the resource (String))`,,,,:green:`queryable metadata`,,,,,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,\r\n :abbr:`organisationRole ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] The function performed by the responsible party (String ))`,,,,,,,,,metadata only,,,,,\r\n :abbr:`otherConstraint ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Other restrictions and legal prerequisites for accessing and using the resource or metadata. (String))`,,,,,,,,,metadata only,,,,,\r\n parentIdentifier,,,,:green:`queryable metadata`,,,,,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,\r\n :abbr:`platform ([OpenSearch Parameters for Collection Search] A string with the platform short name (e.g. Sentinel-1) (String))`,metadata only,,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,:green:`queryable metadata`,metadata only,metadata only,:green:`queryable metadata`,:green:`queryable metadata`\r\n-:abbr:`platformSerialIdentifier ([OpenSearch Parameters for Collection Search] A string with the Platform serial identifier (String))`,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,,metadata only,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n+:abbr:`platformSerialIdentifier ([OpenSearch Parameters for Collection Search] A string with the Platform serial identifier (String))`,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n processingCenter,,,,,,,,,metadata only,,metadata only,metadata only,,\r\n processingDate,,,,,,,,,metadata only,metadata only,,,metadata only,\r\n-:abbr:`processingLevel ([OpenSearch Parameters for Collection Search] A string identifying the processing level applied to the entry (String))`,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n+:abbr:`processingLevel ([OpenSearch Parameters for Collection Search] A string identifying the processing level applied to the entry (String))`,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n processingMode,,,,,,,,,metadata only,,,,metadata only,\r\n processorName,,,,,,,,,metadata only,,metadata only,metadata only,,\r\n productQualityDegradationTag,,,,,,,,,metadata only,,,,,\r\n-productQualityStatus,,,,,,,,,metadata only,metadata only,metadata only,metadata only,,\r\n+productQualityStatus,,,,,,,,,metadata only,:green:`queryable metadata`,metadata only,metadata only,,\r\n \":abbr:`productType ([OpenSearch Parameters for Collection Search] A string identifying the entry type (e.g. ER02_SAR_IM__0P, MER_RR__1P, SM_SLC__1S, GES_DISC_AIRH3STD_V005) (String ))`\",:green:`queryable metadata`,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`\r\n-productVersion,metadata only,,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,metadata only,metadata only,metadata only,metadata only,:green:`queryable metadata`\r\n+productVersion,metadata only,,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,:green:`queryable metadata`,metadata only,metadata only,metadata only,:green:`queryable metadata`\r\n :abbr:`publicationDate ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] The date when the resource was issued (Date time))`,metadata only,,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,,metadata only,metadata only,metadata only,:green:`queryable metadata`\r\n resolution,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`\r\n-sensorMode,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`\r\n-\":abbr:`sensorType ([OpenSearch Parameters for Collection Search] A string identifying the sensor type. Suggested values are: OPTICAL, RADAR, ALTIMETRIC, ATMOSPHERIC, LIMB (String))`\",,,,,,,,,metadata only,,,,,\r\n+sensorMode,metadata only,,,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,:green:`queryable metadata`\r\n+\":abbr:`sensorType ([OpenSearch Parameters for Collection Search] A string identifying the sensor type. Suggested values are: OPTICAL, RADAR, ALTIMETRIC, ATMOSPHERIC, LIMB (String))`\",,,,,,,,,metadata only,:green:`queryable metadata`,,,,\r\n snowCover,,,,:green:`queryable metadata`,,,,,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,metadata only,\r\n \":abbr:`spectralRange ([OpenSearch Parameters for Collection Search] A string identifying the sensor spectral range (e.g. INFRARED, NEAR-INFRARED, UV, VISIBLE) (String))`\",,,,,,,,,metadata only,,,,,\r\n startTimeFromAscendingNode,metadata only,,,:green:`queryable metadata`,metadata only,metadata only,metadata only,,:green:`queryable metadata`,metadata only,:green:`queryable metadata`,:green:`queryable metadata`,:green:`queryable metadata`,metadata only\r\n swathIdentifier,,,,,,,,,metadata only,,:green:`queryable metadata`,:green:`queryable metadata`,,\r\n :abbr:`title ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] A name given to the resource (String ))`,metadata only,,,metadata only,metadata only,metadata only,metadata only,,metadata only,metadata only,metadata only,metadata only,metadata only,metadata only\r\n-:abbr:`topicCategory ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Main theme(s) of the dataset (String ))`,,,,,,,,,metadata only,,metadata only,metadata only,,\r\n+:abbr:`topicCategory ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] Main theme(s) of the dataset (String ))`,,,,,,,,,metadata only,:green:`queryable metadata`,metadata only,metadata only,,\r\n track,,,,,,,,,metadata only,,,,,\r\n :abbr:`useLimitation ([Additional INSPIRE obligated OpenSearch Parameters for Collection Search] A string identifying informing if the resource has usage limitations (String))`,,,,,,,,,metadata only,,,,,\r\n wavelengths,,,,,,,,,metadata only,,,,,\r\ndiff --git a/eodag/api/product/metadata_mapping.py b/eodag/api/product/metadata_mapping.py\nindex 570213d6..cdb0c2ce 100644\n--- a/eodag/api/product/metadata_mapping.py\n+++ b/eodag/api/product/metadata_mapping.py\n@@ -25,6 +25,7 @@ from string import Formatter\n import geojson\n from dateutil.parser import isoparse\n from dateutil.tz import UTC, tzutc\n+from jsonpath_ng.jsonpath import Child\n from lxml import etree\n from lxml.etree import XPathEvalError\n from shapely import wkt\n@@ -407,7 +408,7 @@ def format_metadata(search_param, *args, **kwargs):\n return MetadataFormatter().vformat(search_param, args, kwargs)\n \n \n-def properties_from_json(json, mapping, discovery_pattern=None, discovery_path=None):\n+def properties_from_json(json, mapping, discovery_config=None):\n \"\"\"Extract properties from a provider json result.\n \n :param json: The representation of a provider result as a json object\n@@ -442,7 +443,7 @@ def properties_from_json(json, mapping, discovery_pattern=None, discovery_path=N\n match = path_or_text.find(json)\n if len(match) == 1:\n extracted_value = match[0].value\n- used_jsonpaths.append(match[0].path)\n+ used_jsonpaths.append(match[0].full_path)\n else:\n extracted_value = NOT_AVAILABLE\n if extracted_value is None:\n@@ -483,16 +484,43 @@ def properties_from_json(json, mapping, discovery_pattern=None, discovery_path=N\n properties[metadata] = template.format(**properties)\n \n # adds missing discovered properties\n+ if not discovery_config:\n+ discovery_config = {}\n+ discovery_pattern = discovery_config.get(\"metadata_pattern\", None)\n+ discovery_path = discovery_config.get(\"metadata_path\", None)\n if discovery_pattern and discovery_path:\n discovered_properties = cached_parse(discovery_path).find(json)\n for found_jsonpath in discovered_properties:\n- found_key = found_jsonpath.path.fields[-1]\n+ if \"metadata_path_id\" in discovery_config.keys():\n+ found_key_paths = cached_parse(\n+ discovery_config[\"metadata_path_id\"]\n+ ).find(found_jsonpath.value)\n+ if not found_key_paths:\n+ continue\n+ found_key = found_key_paths[0].value\n+ used_jsonpath = Child(\n+ found_jsonpath.full_path,\n+ cached_parse(discovery_config[\"metadata_path_value\"]),\n+ )\n+ else:\n+ # default key got from metadata_path\n+ found_key = found_jsonpath.path.fields[-1]\n+ used_jsonpath = found_jsonpath.full_path\n if (\n re.compile(discovery_pattern).match(found_key)\n and found_key not in properties.keys()\n- and found_jsonpath.path not in used_jsonpaths\n+ and used_jsonpath not in used_jsonpaths\n ):\n- properties[found_key] = found_jsonpath.value\n+ if \"metadata_path_value\" in discovery_config.keys():\n+ found_value_path = cached_parse(\n+ discovery_config[\"metadata_path_value\"]\n+ ).find(found_jsonpath.value)\n+ properties[found_key] = (\n+ found_value_path[0].value if found_value_path else NOT_AVAILABLE\n+ )\n+ else:\n+ # default value got from metadata_path\n+ properties[found_key] = found_jsonpath.value\n \n return properties\n \ndiff --git a/eodag/plugins/search/build_search_result.py b/eodag/plugins/search/build_search_result.py\nindex 84b5b742..d978f99f 100644\n--- a/eodag/plugins/search/build_search_result.py\n+++ b/eodag/plugins/search/build_search_result.py\n@@ -121,12 +121,7 @@ class BuildPostSearchResult(PostJsonSearch):\n parsed_properties = properties_from_json(\n result,\n self.config.metadata_mapping,\n- discovery_pattern=getattr(self.config, \"discover_metadata\", {}).get(\n- \"metadata_pattern\", None\n- ),\n- discovery_path=getattr(self.config, \"discover_metadata\", {}).get(\n- \"metadata_path\", \"null\"\n- ),\n+ discovery_config=getattr(self.config, \"discover_metadata\", {}),\n )\n \n if not product_type:\ndiff --git a/eodag/plugins/search/qssearch.py b/eodag/plugins/search/qssearch.py\nindex ec911bb7..9a48a2ac 100644\n--- a/eodag/plugins/search/qssearch.py\n+++ b/eodag/plugins/search/qssearch.py\n@@ -732,12 +732,7 @@ class QueryStringSearch(Search):\n QueryStringSearch.extract_properties[self.config.result_type](\n result,\n self.config.metadata_mapping,\n- discovery_pattern=getattr(self.config, \"discover_metadata\", {}).get(\n- \"metadata_pattern\", None\n- ),\n- discovery_path=getattr(self.config, \"discover_metadata\", {}).get(\n- \"metadata_path\", \"null\"\n- ),\n+ discovery_config=getattr(self.config, \"discover_metadata\", {}),\n ),\n **kwargs,\n )\n@@ -956,29 +951,31 @@ class ODataV4Search(QueryStringSearch):\n all products metadata\"\"\"\n \n def do_search(self, *args, **kwargs):\n- \"\"\"Do a two step search, as the metadata are not given into the search result\"\"\"\n- # TODO: This plugin is still very specific to the ONDA provider.\n- # Be careful to generalize it if needed when the chance to do so arrives\n- final_result = []\n- # Query the products entity set for basic metadata about the product\n- for entity in super(ODataV4Search, self).do_search(*args, **kwargs):\n- metadata_url = self.get_metadata_search_url(entity)\n- try:\n- logger.debug(\"Sending metadata request: %s\", metadata_url)\n- response = requests.get(metadata_url, timeout=HTTP_REQ_TIMEOUT)\n- response.raise_for_status()\n- except requests.RequestException:\n- logger.exception(\n- \"Skipping error while searching for %s %s instance:\",\n- self.provider,\n- self.__class__.__name__,\n- )\n- else:\n- entity.update(\n- {item[\"id\"]: item[\"value\"] for item in response.json()[\"value\"]}\n- )\n- final_result.append(entity)\n- return final_result\n+ \"\"\"A two step search can be performed if the metadata are not given into the search result\"\"\"\n+\n+ if getattr(self.config, \"per_product_metadata_query\", False):\n+ final_result = []\n+ # Query the products entity set for basic metadata about the product\n+ for entity in super(ODataV4Search, self).do_search(*args, **kwargs):\n+ metadata_url = self.get_metadata_search_url(entity)\n+ try:\n+ logger.debug(\"Sending metadata request: %s\", metadata_url)\n+ response = requests.get(metadata_url, timeout=HTTP_REQ_TIMEOUT)\n+ response.raise_for_status()\n+ except requests.RequestException:\n+ logger.exception(\n+ \"Skipping error while searching for %s %s instance:\",\n+ self.provider,\n+ self.__class__.__name__,\n+ )\n+ else:\n+ entity.update(\n+ {item[\"id\"]: item[\"value\"] for item in response.json()[\"value\"]}\n+ )\n+ final_result.append(entity)\n+ return final_result\n+ else:\n+ return super(ODataV4Search, self).do_search(*args, **kwargs)\n \n def get_metadata_search_url(self, entity):\n \"\"\"Build the metadata link for the given entity\"\"\"\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 6ac69347..5f0d4436 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1315,7 +1315,7 @@\n - ':'\n pagination:\n count_endpoint: 'https://catalogue.onda-dias.eu/dias-catalogue/Products/$count'\n- next_page_url_tpl: '{url}?{search}&$top={items_per_page}&$skip={skip}'\n+ next_page_url_tpl: '{url}?{search}&$top={items_per_page}&$skip={skip}&$expand=Metadata'\n # 2021/03/19: 2000 is the max, if greater 200 response but contains an error message\n max_items_per_page: 2_000\n results_entry: 'value'\n@@ -1334,6 +1334,17 @@\n - 'beginPosition:[{startTimeFromAscendingNode#to_iso_utc_datetime} TO *]'\n - 'endPosition:[* TO {completionTimeFromAscendingNode#to_iso_utc_datetime}]'\n - '{id#remove_extension}'\n+ - 'platformSerialIdentifier:{platformSerialIdentifier}'\n+ - 'instrumentShortName:{instrument}'\n+ - 'processingLevel:{processingLevel}'\n+ - 'sensorType:{sensorType}'\n+ - 'topicCategory:{topicCategory}'\n+ - 'lineage:{lineage}'\n+ - 'orbitNumber:{orbitNumber}'\n+ - 'orbitDirection:{orbitDirection}'\n+ - 'processingBaseline:{productVersion}'\n+ - 'generalQualityFlag:{productQualityStatus}'\n+ - 'sensorOperationalMode:{sensorMode}'\n discover_metadata:\n auto_discovery: true\n metadata_pattern: '^[a-zA-Z0-9]+$'\n@@ -1343,42 +1354,74 @@\n operations:\n AND:\n - '{metadata}:{{{metadata}}}'\n- metadata_path: '$.*'\n+ metadata_path: '$.Metadata[*]'\n+ metadata_path_id: 'id'\n+ metadata_path_value: 'value'\n+ per_product_metadata_query: false\n metadata_mapping:\n # Opensearch resource identifier within the search engine context (in our case\n # within the context of the data provider)\n+ # Queryable parameters are set with null as 1st configuration list value to mark them as queryable,\n+ # but `free_text_search_operations.$search.operations.AND` entries are then used instead.\n uid: '$.id'\n # OpenSearch Parameters for Collection Search (Table 3)\n productType:\n- - 'productType'\n- - '$.productType'\n+ - null\n+ - '$.Metadata[?(@.id=\"productType\")].value'\n platform:\n- - platform\n- - '$.platformName'\n- platformSerialIdentifier: '$.platformSerialIdentifier'\n- instrument: '$.instrumentName'\n- processingLevel: '$.processingLevel'\n+ - null\n+ - '$.Metadata[?(@.id=\"platformName\")].value'\n+ platformSerialIdentifier:\n+ - null\n+ - '$.Metadata[?(@.id=\"platformSerialIdentifier\")].value'\n+ instrument:\n+ - null\n+ - '$.Metadata[?(@.id=\"instrumentShortName\")].value'\n+ processingLevel:\n+ - null\n+ - '$.Metadata[?(@.id=\"processingLevel\")].value'\n+ sensorType:\n+ - null\n+ - '$.Metadata[?(@.id=\"sensorType\")].value'\n \n # INSPIRE obligated OpenSearch Parameters for Collection Search (Table 4)\n- title: '$.filename'\n+ title: '$.Metadata[?(@.id=\"filename\")].value'\n+ topicCategory:\n+ - null\n+ - '$.Metadata[?(@.id=\"topicCategory\")].value'\n+ lineage:\n+ - null\n+ - '$.Metadata[?(@.id=\"lineage\")].value'\n \n # OpenSearch Parameters for Product Search (Table 5)\n- orbitNumber: '$.orbitNumber'\n- orbitDirection: '$.orbitDirection'\n- cloudCover: '$.cloudCoverPercentage'\n- productVersion: '$.processingBaseline'\n- productQualityStatus: '$.generalQualityFlag'\n- creationDate: '$.creationDate'\n- processingDate: '$.processingDate'\n- sensorMode: '$.sensorOperationalMode'\n+ orbitNumber:\n+ - null\n+ - '$.Metadata[?(@.id=\"orbitNumber\")].value'\n+ orbitDirection:\n+ - null\n+ - '$.Metadata[?(@.id=\"orbitDirection\")].value'\n+ cloudCover:\n+ - null\n+ - '$.Metadata[?(@.id=\"cloudCoverPercentage\")].value'\n+ productVersion:\n+ - null\n+ - '$.Metadata[?(@.id=\"processingBaseline\")].value'\n+ productQualityStatus:\n+ - null\n+ - '$.Metadata[?(@.id=\"generalQualityFlag\")].value'\n+ creationDate: '$.Metadata[?(@.id=\"creationDate\")].value'\n+ processingDate: '$.Metadata[?(@.id=\"processingDate\")].value'\n+ sensorMode:\n+ - null\n+ - '$.Metadata[?(@.id=\"sensorOperationalMode\")].value'\n \n # OpenSearch Parameters for Acquistion Parameters Search (Table 6)\n startTimeFromAscendingNode: '$.beginPosition'\n completionTimeFromAscendingNode: '$.endPosition'\n- polarizationChannels: '{$.polarisationChannels#replace_str(\",\",\" \")}'\n+ polarizationChannels: '{$.Metadata[?(@.id=\"polarisationChannels\")].value#replace_str(\",\",\" \")}'\n \n # Custom parameters (not defined in the base document referenced above)\n- id: '{$.filename#remove_extension}'\n+ id: '{$.Metadata[?(@.id=\"filename\")].value#remove_extension}'\n # The geographic extent of the product\n geometry: '$.footprint'\n # The url of the quicklook\n"},"problem_statement":{"kind":"string","value":"onda search optimize with expand=Metadata\nAvoid per-product metadata query using https://catalogue.onda-dias.eu/dias-catalogue/Products?$expand=Metadata link documented in \r\nhttps://www.onda-dias.eu/cms/knowledge-base/odata-querying-products-showing-all-metadata-together-with-their-properties/.\r\n\r\nUse a new `ODataV4Search` plugin configuration option, `per_product_metadata_query` (bool) to specify that per-product metadata query is no more needed.\r\n\r\nSee also https://github.com/CS-SI/eodag/issues/606#issuecomment-1399962814"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/context.py b/tests/context.py\nindex dec2c197..2ca8dd32 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -33,6 +33,8 @@ from eodag.api.product.metadata_mapping import (\n format_metadata,\n OFFLINE_STATUS,\n ONLINE_STATUS,\n+ properties_from_json,\n+ NOT_AVAILABLE,\n )\n from eodag.api.search_result import SearchResult\n from eodag.cli import download, eodag, list_pt, search_crunch\ndiff --git a/tests/units/test_metadata_mapping.py b/tests/units/test_metadata_mapping.py\nindex ba8e15e5..4089601a 100644\n--- a/tests/units/test_metadata_mapping.py\n+++ b/tests/units/test_metadata_mapping.py\n@@ -17,7 +17,14 @@\n # limitations under the License.\n import unittest\n \n-from tests.context import format_metadata, get_geometry_from_various\n+from jsonpath_ng.ext import parse\n+\n+from tests.context import (\n+ NOT_AVAILABLE,\n+ format_metadata,\n+ get_geometry_from_various,\n+ properties_from_json,\n+)\n \n \n class TestMetadataFormatter(unittest.TestCase):\n@@ -195,3 +202,67 @@ class TestMetadataFormatter(unittest.TestCase):\n format_metadata(to_format, **{\"some_extension:a_parameter\": \"value\"}),\n \"value\",\n )\n+\n+ def test_properties_from_json_discovery_config(self):\n+ \"\"\"properties_from_json must extract and discover metadata\"\"\"\n+ json = {\n+ \"foo\": \"foo-val\",\n+ \"bar\": \"bar-val\",\n+ \"baz\": {\"baaz\": \"baz-val\"},\n+ \"qux\": [\n+ {\"somekey\": \"a\", \"someval\": \"a-val\"},\n+ {\"somekey\": \"b\", \"someval\": \"b-val\", \"some\": \"thing\"},\n+ {\"somekey\": \"c\"},\n+ {\"someval\": \"d-val\"},\n+ ],\n+ \"ignored\": \"ignored-val\",\n+ }\n+ mapping = {\n+ \"fooProperty\": (None, parse(\"$.foo\")),\n+ \"missingProperty\": (None, parse(\"$.missing\")),\n+ }\n+ # basic discovery\n+ discovery_config = {\n+ \"auto_discovery\": True,\n+ \"metadata_pattern\": r\"^(?!ignored)[a-zA-Z0-9_]+$\",\n+ \"metadata_path\": \"$.*\",\n+ }\n+ properties = properties_from_json(\n+ json=json, mapping=mapping, discovery_config=discovery_config\n+ )\n+ self.assertDictEqual(\n+ properties,\n+ {\n+ \"fooProperty\": \"foo-val\",\n+ \"bar\": \"bar-val\",\n+ \"baz\": {\"baaz\": \"baz-val\"},\n+ \"missingProperty\": NOT_AVAILABLE,\n+ \"qux\": [\n+ {\"somekey\": \"a\", \"someval\": \"a-val\"},\n+ {\"somekey\": \"b\", \"someval\": \"b-val\", \"some\": \"thing\"},\n+ {\"somekey\": \"c\"},\n+ {\"someval\": \"d-val\"},\n+ ],\n+ },\n+ )\n+ # advanced discovery\n+ discovery_config = {\n+ \"auto_discovery\": True,\n+ \"metadata_pattern\": r\"^(?!ignored)[a-zA-Z0-9_]+$\",\n+ \"metadata_path\": \"$.qux[*]\",\n+ \"metadata_path_id\": \"somekey\",\n+ \"metadata_path_value\": \"someval\",\n+ }\n+ properties = properties_from_json(\n+ json=json, mapping=mapping, discovery_config=discovery_config\n+ )\n+ self.assertDictEqual(\n+ properties,\n+ {\n+ \"fooProperty\": \"foo-val\",\n+ \"missingProperty\": NOT_AVAILABLE,\n+ \"a\": \"a-val\",\n+ \"b\": \"b-val\",\n+ \"c\": NOT_AVAILABLE,\n+ },\n+ )\ndiff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py\nindex 16ec3d41..f02accbf 100644\n--- a/tests/units/test_search_plugins.py\n+++ b/tests/units/test_search_plugins.py\n@@ -385,7 +385,13 @@ class TestSearchPluginODataV4Search(BaseSearchPluginTest):\n # Some expected results\n with open(self.provider_resp_dir / \"onda_count.json\") as f:\n self.onda_resp_count = json.load(f)\n- self.onda_url_count = 'https://catalogue.onda-dias.eu/dias-catalogue/Products/$count?productType=S2MSI1C&$search=\"footprint:\"Intersects(POLYGON ((137.7729 13.1342, 137.7729 23.8860, 153.7491 23.8860, 153.7491 13.1342, 137.7729 13.1342)))\" AND productType:S2MSI1C AND beginPosition:[2020-08-08T00:00:00.000Z TO *] AND endPosition:[* TO 2020-08-16T00:00:00.000Z]\"' # noqa\n+ self.onda_url_count = (\n+ 'https://catalogue.onda-dias.eu/dias-catalogue/Products/$count?$search=\"footprint:\"'\n+ \"Intersects(POLYGON ((137.7729 13.1342, 137.7729 23.8860, 153.7491 23.8860, 153.7491 13.1342, \"\n+ '137.7729 13.1342)))\" AND productType:S2MSI1C AND beginPosition:[2020-08-08T00:00:00.000Z TO *] '\n+ 'AND endPosition:[* TO 2020-08-16T00:00:00.000Z] AND foo:bar\"'\n+ )\n+\n self.onda_products_count = 47\n \n @mock.patch(\"eodag.plugins.search.qssearch.requests.get\", autospec=True)\n@@ -414,12 +420,19 @@ class TestSearchPluginODataV4Search(BaseSearchPluginTest):\n page=1,\n items_per_page=2,\n auth=self.onda_auth_plugin,\n+ # custom query argument that must be mapped using discovery_metata.search_param\n+ foo=\"bar\",\n **self.search_criteria_s2_msi_l1c\n )\n \n # Specific expected results\n number_of_products = 2\n- onda_url_search = 'https://catalogue.onda-dias.eu/dias-catalogue/Products?productType=S2MSI1C&$format=json&$search=\"footprint:\"Intersects(POLYGON ((137.7729 13.1342, 137.7729 23.8860, 153.7491 23.8860, 153.7491 13.1342, 137.7729 13.1342)))\" AND productType:S2MSI1C AND beginPosition:[2020-08-08T00:00:00.000Z TO *] AND endPosition:[* TO 2020-08-16T00:00:00.000Z]\"&$top=2&$skip=0' # noqa\n+ onda_url_search = (\n+ 'https://catalogue.onda-dias.eu/dias-catalogue/Products?$format=json&$search=\"'\n+ 'footprint:\"Intersects(POLYGON ((137.7729 13.1342, 137.7729 23.8860, 153.7491 23.8860, 153.7491 13.1342, '\n+ '137.7729 13.1342)))\" AND productType:S2MSI1C AND beginPosition:[2020-08-08T00:00:00.000Z TO *] '\n+ 'AND endPosition:[* TO 2020-08-16T00:00:00.000Z] AND foo:bar\"&$top=2&$skip=0&$expand=Metadata'\n+ )\n \n mock__request.assert_any_call(\n mock.ANY,\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 3,\n \"issue_text_score\": 2,\n \"test_score\": 1\n },\n \"num_modified_files\": 5\n}"},"version":{"kind":"string","value":"2.8"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@4a0d68987de913040e0ba16f9fe1d00cd10fe6e5#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.8.1.dev2+g4a0d6898\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_properties_from_json_discovery_config","tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda"],"string":"[\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_properties_from_json_discovery_config\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_csv_list","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_datetime_to_timestamp_milliseconds","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_dict_update","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_fake_l2a_title_from_l1c","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_get_group_name","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_recursive_sub_str","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_remove_extension","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_replace_str","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_s2msil2a_title_to_aws_productinfo","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_slice_str","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_bounds_lists","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_geojson","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_date","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime_from_milliseconds","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_rounded_wkt","tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_format_stac_extension_parameter","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_peps","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types_keywords","tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_peps","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_request_auth_error","tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_request_error","tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_default_geometry","tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch","tests/units/test_search_plugins.py::TestSearchPluginBuildPostSearchResult::test_plugins_search_buildpostsearchresult_count_and_search"],"string":"[\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_csv_list\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_datetime_to_timestamp_milliseconds\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_dict_update\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_fake_l2a_title_from_l1c\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_get_group_name\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_recursive_sub_str\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_remove_extension\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_replace_str\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_s2msil2a_title_to_aws_productinfo\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_slice_str\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_bounds_lists\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_geojson\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_date\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime_from_milliseconds\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_rounded_wkt\",\n \"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_format_stac_extension_parameter\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_peps\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types_keywords\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_peps\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_request_auth_error\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_request_error\",\n \"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_default_geometry\",\n \"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch\",\n \"tests/units/test_search_plugins.py::TestSearchPluginBuildPostSearchResult::test_plugins_search_buildpostsearchresult_count_and_search\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-616"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-616"}}},{"rowIdx":475,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-634"},"base_commit":{"kind":"string","value":"69d24e856d04abbf44a81786b67cc26e98d43ee5"},"created_at":{"kind":"string","value":"2023-02-07 15:52:38"},"environment_setup_commit":{"kind":"string","value":"216edc2a7e22676ecfcbc77b71795fc319cb3dc4"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ±0 2 suites ±0 4m 22s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") - 1m 53s\n356 tests +1 353 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +1 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") - 1 1 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") +1 \n712 runs +2 706 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") +2 5 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") - 1 1 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") +1 \n\nFor more details on these failures, see [this check](https://github.com/CS-SI/eodag/runs/11170982115).\n\nResults for commit 976a5454. ± Comparison against base commit 69d24e85.\n\n[test-results]:data:application/gzip;base64,H4sIAEF14mMC/03MSQ7CIACF4as0rF0AZRAvYxgTYlsMw8p4d6Et2OX/veR9gPOLTeAx4dsEUvF5hClRZh+2lqxBnXIbZ8p6PVPReqf5Ty//Pi8OcNIvFdAAG2OIVWCVWLb2yRE+o19yyIYcj7T35XDv658O6+pzDSA4k5RQgpQwVhljBMUEWSOVtNRBKGcG745j8P0BpV/4CgUBAAA=\n"},"patch":{"kind":"string","value":"diff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 35841aaf..d968c733 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -1148,6 +1148,9 @@ def flatten_top_directories(nested_dir_root, common_subdirs_path=None):\n subpaths_list = [p for p in Path(nested_dir_root).glob(\"**/*\") if p.is_file()]\n common_subdirs_path = os.path.commonpath(subpaths_list)\n \n+ if Path(common_subdirs_path).is_file():\n+ common_subdirs_path = os.path.dirname(common_subdirs_path)\n+\n if nested_dir_root != common_subdirs_path:\n logger.debug(f\"Flatten {common_subdirs_path} to {nested_dir_root}\")\n tmp_path = mkdtemp()\n"},"problem_statement":{"kind":"string","value":"flatten_top_directories on single file\nThe following error is raised when trying to use `flatten_top_directories()` on a directory containing a single file or when downloading a product having a single asset and the download plugin configured with `flatten_top_dirs: true`:\r\n```\r\nTraceback (most recent call last):\r\n File \"/home/sylvain/workspace/eodag-debug/20230207_download_issue.py\", line 78, in <module>\r\n downloaded_path = dag.download(search_results[0])\r\n File \"/home/sylvain/workspace/eodag/eodag/api/core.py\", line 1753, in download\r\n path = product.download(\r\n File \"/home/sylvain/workspace/eodag/eodag/api/product/_product.py\", line 313, in download\r\n fs_path = self.downloader.download(\r\n File \"/home/sylvain/workspace/eodag/eodag/plugins/download/http.py\", line 260, in download\r\n fs_path = self._download_assets(\r\n File \"/home/sylvain/workspace/eodag/eodag/plugins/download/http.py\", line 607, in _download_assets\r\n flatten_top_directories(fs_dir_path)\r\n File \"/home/sylvain/workspace/eodag/eodag/utils/__init__.py\", line 1159, in flatten_top_directories\r\n shutil.copytree(common_subdirs_path, tmp_path)\r\n File \"/usr/lib/python3.8/shutil.py\", line 555, in copytree\r\n with os.scandir(src) as itr:\r\nNotADirectoryError: [Errno 20] Not a directory: '/tmp/foo_path'\r\n```"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_download_plugins.py b/tests/units/test_download_plugins.py\nindex b3514aec..e15a565b 100644\n--- a/tests/units/test_download_plugins.py\n+++ b/tests/units/test_download_plugins.py\n@@ -487,7 +487,7 @@ class TestDownloadPluginHttpRetry(BaseDownloadPluginTest):\n self.plugin.download(\n self.product,\n outputs_prefix=self.output_dir,\n- wait=0.1 / 60,\n+ wait=0.01 / 60,\n timeout=0.2 / 60,\n )\n \ndiff --git a/tests/units/test_utils.py b/tests/units/test_utils.py\nindex 04b4ad9b..90697d31 100644\n--- a/tests/units/test_utils.py\n+++ b/tests/units/test_utils.py\n@@ -241,6 +241,20 @@ class TestUtils(unittest.TestCase):\n self.assertIn(Path(nested_dir_root) / \"c2\" / \"bar\", dir_content)\n self.assertIn(Path(nested_dir_root) / \"c2\" / \"baz\", dir_content)\n \n+ def test_flatten_top_dirs_single_file(self):\n+ \"\"\"flatten_top_dirs must flatten directory structure containing a single file\"\"\"\n+ with TemporaryDirectory() as nested_dir_root:\n+ os.makedirs(os.path.join(nested_dir_root, \"a\", \"b\", \"c1\"))\n+ # create empty file\n+ open(os.path.join(nested_dir_root, \"a\", \"b\", \"c1\", \"foo\"), \"a\").close()\n+\n+ flatten_top_directories(nested_dir_root)\n+\n+ dir_content = list(Path(nested_dir_root).glob(\"**/*\"))\n+\n+ self.assertEqual(len(dir_content), 1)\n+ self.assertIn(Path(nested_dir_root) / \"foo\", dir_content)\n+\n def test_flatten_top_dirs_given_subdir(self):\n \"\"\"flatten_top_dirs must flatten directory structure using given subdirectory\"\"\"\n with TemporaryDirectory() as nested_dir_root:\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [],\n \"has_test_patch\": true,\n \"is_lite\": true,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 1,\n \"test_score\": 3\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.8"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-mock\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@69d24e856d04abbf44a81786b67cc26e98d43ee5#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.8.1.dev14+g69d24e85\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_utils.py::TestUtils::test_flatten_top_dirs_single_file"],"string":"[\n \"tests/units/test_utils.py::TestUtils::test_flatten_top_dirs_single_file\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"],"string":"[\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list 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\"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_no_url\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_get\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_head\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_href\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_size\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_one_local_asset\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_get\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_post\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_status\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_several_local_assets\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_error_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_notready_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_once_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_short_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_timeout_disabled\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_get_bucket_prefix\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_flatten_top_dirs\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_no_flatten_top_dirs\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build_assets\",\n \"tests/units/test_utils.py::TestUtils::test_downloaded_callback\",\n \"tests/units/test_utils.py::TestUtils::test_flatten_top_dirs\",\n \"tests/units/test_utils.py::TestUtils::test_flatten_top_dirs_given_subdir\",\n \"tests/units/test_utils.py::TestUtils::test_get_bucket_name_and_prefix\",\n \"tests/units/test_utils.py::TestUtils::test_merge_mappings\",\n \"tests/units/test_utils.py::TestUtils::test_path_to_uri\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_copy\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_disable\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_init\",\n \"tests/units/test_utils.py::TestUtils::test_progresscallback_init_customize\",\n \"tests/units/test_utils.py::TestUtils::test_uri_to_path\",\n \"tests/units/test_utils.py::TestUtils::test_utils_get_timestamp\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-634"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-634"}}},{"rowIdx":476,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-645"},"base_commit":{"kind":"string","value":"216edc2a7e22676ecfcbc77b71795fc319cb3dc4"},"created_at":{"kind":"string","value":"2023-02-15 14:33:03"},"environment_setup_commit":{"kind":"string","value":"216edc2a7e22676ecfcbc77b71795fc319cb3dc4"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Unit Test Results\n 2 files ± 0 2 suites ±0 2m 2s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"duration of all tests\") - 3m 37s\n247 tests - 112 244 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") - 112 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") - 1 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 1 [:fire:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"test errors\") +1 \n326 runs - 392 323 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"passed tests\") - 389 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"skipped / disabled tests\") - 4 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"failed tests\") ±0 1 [:fire:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols \"test errors\") +1 \n\nFor more details on these errors, see [this check](https://github.com/CS-SI/eodag/runs/11361437367).\n\nResults for commit ccfa991a. ± Comparison against base commit 3099b2a8.\n\n<details>\n <summary>This pull request <b>removes</b> 116 and <b>adds</b> 4 tests. <i>Note that renamed tests count towards both.</i></summary>\n\n```\ntests.units.test_core.TestCore ‑ test_update_product_types_list\ntests.units.test_core.TestCore ‑ test_update_product_types_list_with_api_plugin\ntests.units.test_core.TestCore ‑ test_update_product_types_list_without_plugin\ntests.units.test_core.TestCore ‑ test_update_providers_config\ntests.units.test_http_server.RequestTestCase ‑ test_catalog_browse\ntests.units.test_http_server.RequestTestCase ‑ test_cloud_cover_search\ntests.units.test_http_server.RequestTestCase ‑ test_conformance\ntests.units.test_http_server.RequestTestCase ‑ test_date_search\ntests.units.test_http_server.RequestTestCase ‑ test_date_search_from_catalog_items\ntests.units.test_http_server.RequestTestCase ‑ test_date_search_from_items\n…\n```\n\n```\npytest ‑ internal\ntests.units.test_download_plugins.TestDownloadPluginHttp ‑ test_plugins_download_http_order_status_search_again\ntests.units.test_download_plugins.TestDownloadPluginS3Rest ‑ test_plugins_download_s3rest_offline\ntests.units.test_download_plugins.TestDownloadPluginS3Rest ‑ test_plugins_download_s3rest_online\n```\n</details>\n\n[test-results]:data:application/gzip;base64,H4sIAAru7GMC/02Myw6DIBAAf8Vw7oFdqHb7Mw1BSDb10SCcTP+9SBU9zkwyq/A8uEU8G7w1YkkcK/QpmMjzlBFwEznFEnV30GtJ1halT/Xmz774C294yEJW4UKYw7bNJqRpeypsdziWClU157HwZVj4+rPzOHLMIKz1hgiMhB5c1yIY8NLdSYP22KGhhyJqyYnvD09KXSkFAQAA\n"},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/authentication/token.py b/eodag/plugins/authentication/token.py\nindex 9419f85c..75151f22 100644\n--- a/eodag/plugins/authentication/token.py\n+++ b/eodag/plugins/authentication/token.py\n@@ -36,6 +36,11 @@ class TokenAuth(Authentication):\n self.config.auth_uri = self.config.auth_uri.format(\n **self.config.credentials\n )\n+ # format headers if needed\n+ self.config.headers = {\n+ header: value.format(**self.config.credentials)\n+ for header, value in getattr(self.config, \"headers\", {}).items()\n+ }\n except KeyError as e:\n raise MisconfiguredError(\n f\"Missing credentials inputs for provider {self.provider}: {e}\"\n@@ -66,4 +71,4 @@ class TokenAuth(Authentication):\n else:\n token = response.text\n # Return auth class set with obtained token\n- return RequestsTokenAuth(token, \"header\")\n+ return RequestsTokenAuth(token, \"header\", headers=self.config.headers)\ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 5eb666f9..fd4031cf 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -25,6 +25,7 @@ from urllib.parse import parse_qs, urlparse\n \n import geojson\n import requests\n+from lxml import etree\n from requests import HTTPError, RequestException\n \n from eodag.api.product.metadata_mapping import (\n@@ -32,6 +33,7 @@ from eodag.api.product.metadata_mapping import (\n ONLINE_STATUS,\n mtd_cfg_as_jsonpath,\n properties_from_json,\n+ properties_from_xml,\n )\n from eodag.plugins.download.base import (\n DEFAULT_DOWNLOAD_TIMEOUT,\n@@ -47,6 +49,7 @@ from eodag.utils import (\n )\n from eodag.utils.exceptions import (\n AuthenticationError,\n+ DownloadError,\n MisconfiguredError,\n NotAvailableError,\n )\n@@ -126,7 +129,7 @@ class HTTPDownload(Download):\n logger.warning(\n \"%s could not be ordered, request returned %s\",\n product.properties[\"title\"],\n- e,\n+ f\"{e.response.content} - {e}\",\n )\n \n order_metadata_mapping = getattr(self.config, \"order_on_response\", {}).get(\n@@ -206,8 +209,11 @@ class HTTPDownload(Download):\n self.config, \"order_status_percent\", None\n )\n if order_status_percent_key and order_status_percent_key in status_dict:\n+ order_status_value = str(status_dict[order_status_percent_key])\n+ if order_status_value.isdigit():\n+ order_status_value += \"%\"\n logger.info(\n- f\"{product.properties['title']} order status: {status_dict[order_status_percent_key]}%\"\n+ f\"{product.properties['title']} order status: {order_status_value}\"\n )\n # display error if any\n order_status_error_dict = getattr(self.config, \"order_status_error\", {})\n@@ -219,6 +225,79 @@ class HTTPDownload(Download):\n logger.warning(status_message)\n else:\n logger.debug(status_message)\n+ # check if succeeds and need search again\n+ order_status_success_dict = getattr(\n+ self.config, \"order_status_success\", {}\n+ )\n+ if (\n+ order_status_success_dict\n+ and order_status_success_dict.items() <= status_dict.items()\n+ and getattr(self.config, \"order_status_on_success\", {}).get(\n+ \"need_search\"\n+ )\n+ ):\n+ logger.debug(\n+ f\"Search for new location: {product.properties['searchLink']}\"\n+ )\n+ # search again\n+ response = requests.get(product.properties[\"searchLink\"])\n+ response.raise_for_status()\n+ if (\n+ self.config.order_status_on_success.get(\"result_type\", \"json\")\n+ == \"xml\"\n+ ):\n+ root_node = etree.fromstring(response.content)\n+ namespaces = {k or \"ns\": v for k, v in root_node.nsmap.items()}\n+ results = [\n+ etree.tostring(entry)\n+ for entry in root_node.xpath(\n+ self.config.order_status_on_success[\"results_entry\"],\n+ namespaces=namespaces,\n+ )\n+ ]\n+ if isinstance(results, list) and len(results) != 1:\n+ raise DownloadError(\n+ \"Could not get a single result after order success for \"\n+ f\"{product.properties['searchLink']} request. \"\n+ f\"Please search and download {product} again\"\n+ )\n+ return\n+ try:\n+ assert isinstance(\n+ results, list\n+ ), \"results must be in a list\"\n+ # single result\n+ result = results[0]\n+ # parse result\n+ new_search_metadata_mapping = (\n+ self.config.order_status_on_success[\"metadata_mapping\"]\n+ )\n+ order_metadata_mapping_jsonpath = {}\n+ order_metadata_mapping_jsonpath = mtd_cfg_as_jsonpath(\n+ new_search_metadata_mapping,\n+ order_metadata_mapping_jsonpath,\n+ )\n+ properties_update = properties_from_xml(\n+ result,\n+ order_metadata_mapping_jsonpath,\n+ )\n+ except Exception as e:\n+ logger.debug(e)\n+ raise DownloadError(\n+ f\"Could not parse result after order success for {product.properties['searchLink']} \"\n+ f\"request. Please search and download {product} again\"\n+ )\n+ # update product\n+ product.properties.update(properties_update)\n+ product.location = product.remote_location = product.properties[\n+ \"downloadLink\"\n+ ]\n+ else:\n+ logger.warning(\n+ \"JSON response parsing is not implemented yet for new searches \"\n+ f\"after order success. Please search and download {product} again\"\n+ )\n+\n except RequestException as e:\n logger.warning(\n \"%s order status could not be checked, request returned %s\",\ndiff --git a/eodag/plugins/download/s3rest.py b/eodag/plugins/download/s3rest.py\nindex fa2d0f65..d71c39b0 100644\n--- a/eodag/plugins/download/s3rest.py\n+++ b/eodag/plugins/download/s3rest.py\n@@ -26,8 +26,13 @@ from xml.parsers.expat import ExpatError\n import requests\n from requests import RequestException\n \n-from eodag.api.product.metadata_mapping import OFFLINE_STATUS\n-from eodag.plugins.download.base import DEFAULT_STREAM_REQUESTS_TIMEOUT, Download\n+from eodag.api.product.metadata_mapping import OFFLINE_STATUS, ONLINE_STATUS\n+from eodag.plugins.download.base import (\n+ DEFAULT_DOWNLOAD_TIMEOUT,\n+ DEFAULT_DOWNLOAD_WAIT,\n+ DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ Download,\n+)\n from eodag.plugins.download.http import HTTPDownload\n from eodag.utils import (\n ProgressCallback,\n@@ -55,7 +60,19 @@ class S3RestDownload(Download):\n Re-use AwsDownload bucket some handling methods\n \"\"\"\n \n- def download(self, product, auth=None, progress_callback=None, **kwargs):\n+ def __init__(self, provider, config):\n+ super(S3RestDownload, self).__init__(provider, config)\n+ self.http_download_plugin = HTTPDownload(self.provider, self.config)\n+\n+ def download(\n+ self,\n+ product,\n+ auth=None,\n+ progress_callback=None,\n+ wait=DEFAULT_DOWNLOAD_WAIT,\n+ timeout=DEFAULT_DOWNLOAD_TIMEOUT,\n+ **kwargs,\n+ ):\n \"\"\"Download method for S3 REST API.\n \n :param product: The EO product to download\n@@ -82,162 +99,210 @@ class S3RestDownload(Download):\n )\n progress_callback = ProgressCallback(disable=True)\n \n- # get bucket urls\n- bucket_name, prefix = get_bucket_name_and_prefix(\n- url=product.location, bucket_path_level=self.config.bucket_path_level\n- )\n-\n+ # order product if it is offline\n+ ordered_message = \"\"\n if (\n- bucket_name is None\n+ \"orderLink\" in product.properties\n and \"storageStatus\" in product.properties\n- and product.properties[\"storageStatus\"] == OFFLINE_STATUS\n+ and product.properties[\"storageStatus\"] != ONLINE_STATUS\n+ ):\n+ self.http_download_plugin.orderDownload(product=product, auth=auth)\n+\n+ @self._download_retry(product, wait, timeout)\n+ def download_request(\n+ product,\n+ auth,\n+ progress_callback,\n+ ordered_message,\n+ **kwargs,\n ):\n- raise NotAvailableError(\n- \"%s is not available for download on %s (status = %s)\"\n- % (\n- product.properties[\"title\"],\n- self.provider,\n- product.properties[\"storageStatus\"],\n+ # check order status\n+ if product.properties.get(\"orderStatusLink\", None):\n+ self.http_download_plugin.orderDownloadStatus(\n+ product=product, auth=auth\n )\n- )\n \n- bucket_url = urljoin(\n- product.downloader.config.base_uri.strip(\"/\") + \"/\", bucket_name\n- )\n- nodes_list_url = bucket_url + \"?prefix=\" + prefix.strip(\"/\")\n+ # get bucket urls\n+ bucket_name, prefix = get_bucket_name_and_prefix(\n+ url=product.location, bucket_path_level=self.config.bucket_path_level\n+ )\n \n- # get nodes/files list contained in the bucket\n- logger.debug(\"Retrieving product content from %s\", nodes_list_url)\n- bucket_contents = requests.get(\n- nodes_list_url, auth=auth, timeout=HTTP_REQ_TIMEOUT\n- )\n- try:\n- bucket_contents.raise_for_status()\n- except requests.RequestException as err:\n- # check if error is identified as auth_error in provider conf\n- auth_errors = getattr(self.config, \"auth_error_code\", [None])\n- if not isinstance(auth_errors, list):\n- auth_errors = [auth_errors]\n- if err.response.status_code in auth_errors:\n- raise AuthenticationError(\n- \"HTTP Error %s returned, %s\\nPlease check your credentials for %s\"\n+ if (\n+ bucket_name is None\n+ and \"storageStatus\" in product.properties\n+ and product.properties[\"storageStatus\"] == OFFLINE_STATUS\n+ ):\n+ raise NotAvailableError(\n+ \"%s is not available for download on %s (status = %s)\"\n % (\n- err.response.status_code,\n- err.response.text.strip(),\n+ product.properties[\"title\"],\n self.provider,\n+ product.properties[\"storageStatus\"],\n )\n )\n- # other error\n- else:\n- logger.exception(\n- \"Could not get content from %s (provider:%s, plugin:%s)\\n%s\",\n- nodes_list_url,\n- self.provider,\n- self.__class__.__name__,\n- bucket_contents.text,\n- )\n- raise RequestError(str(err))\n- try:\n- xmldoc = minidom.parseString(bucket_contents.text)\n- except ExpatError as err:\n- logger.exception(\"Could not parse xml data from %s\", bucket_contents)\n- raise DownloadError(str(err))\n- nodes_xml_list = xmldoc.getElementsByTagName(\"Contents\")\n-\n- if len(nodes_xml_list) == 0:\n- logger.warning(\"Could not load any content from %s\", nodes_list_url)\n- elif len(nodes_xml_list) == 1:\n- # single file download\n- product.remote_location = urljoin(\n- bucket_url.strip(\"/\") + \"/\", prefix.strip(\"/\")\n+\n+ bucket_url = urljoin(\n+ product.downloader.config.base_uri.strip(\"/\") + \"/\", bucket_name\n )\n- return HTTPDownload(self.provider, self.config).download(\n- product=product,\n- auth=auth,\n- progress_callback=progress_callback,\n- **kwargs\n+ nodes_list_url = bucket_url + \"?prefix=\" + prefix.strip(\"/\")\n+\n+ # get nodes/files list contained in the bucket\n+ logger.debug(\"Retrieving product content from %s\", nodes_list_url)\n+ bucket_contents = requests.get(\n+ nodes_list_url, auth=auth, timeout=HTTP_REQ_TIMEOUT\n )\n+ try:\n+ bucket_contents.raise_for_status()\n+ except requests.RequestException as err:\n+ # check if error is identified as auth_error in provider conf\n+ auth_errors = getattr(self.config, \"auth_error_code\", [None])\n+ if not isinstance(auth_errors, list):\n+ auth_errors = [auth_errors]\n+ if err.response.status_code in auth_errors:\n+ raise AuthenticationError(\n+ \"HTTP Error %s returned, %s\\nPlease check your credentials for %s\"\n+ % (\n+ err.response.status_code,\n+ err.response.text.strip(),\n+ self.provider,\n+ )\n+ )\n+ # product not available\n+ elif (\n+ product.properties.get(\"storageStatus\", ONLINE_STATUS)\n+ != ONLINE_STATUS\n+ ):\n+ msg = (\n+ ordered_message\n+ if ordered_message and not err.response.text.strip()\n+ else err.response.text.strip()\n+ )\n+ raise NotAvailableError(\n+ \"%s(initially %s) requested, returned: %s\"\n+ % (\n+ product.properties[\"title\"],\n+ product.properties[\"storageStatus\"],\n+ msg,\n+ )\n+ )\n+ # other error\n+ else:\n+ logger.exception(\n+ \"Could not get content from %s (provider:%s, plugin:%s)\\n%s\",\n+ nodes_list_url,\n+ self.provider,\n+ self.__class__.__name__,\n+ bucket_contents.text,\n+ )\n+ raise RequestError(str(err))\n+ try:\n+ xmldoc = minidom.parseString(bucket_contents.text)\n+ except ExpatError as err:\n+ logger.exception(\"Could not parse xml data from %s\", bucket_contents)\n+ raise DownloadError(str(err))\n+ nodes_xml_list = xmldoc.getElementsByTagName(\"Contents\")\n \n- # destination product path\n- outputs_prefix = kwargs.pop(\"ouputs_prefix\", None) or self.config.outputs_prefix\n- abs_outputs_prefix = os.path.abspath(outputs_prefix)\n- product_local_path = os.path.join(abs_outputs_prefix, prefix.split(\"/\")[-1])\n+ if len(nodes_xml_list) == 0:\n+ logger.warning(\"Could not load any content from %s\", nodes_list_url)\n \n- # .downloaded cache record directory\n- download_records_dir = os.path.join(abs_outputs_prefix, \".downloaded\")\n- try:\n- os.makedirs(download_records_dir)\n- except OSError as exc:\n- import errno\n+ # destination product path\n+ outputs_prefix = (\n+ kwargs.pop(\"outputs_prefix\", None) or self.config.outputs_prefix\n+ )\n+ abs_outputs_prefix = os.path.abspath(outputs_prefix)\n+ product_local_path = os.path.join(abs_outputs_prefix, prefix.split(\"/\")[-1])\n+\n+ # .downloaded cache record directory\n+ download_records_dir = os.path.join(abs_outputs_prefix, \".downloaded\")\n+ try:\n+ os.makedirs(download_records_dir)\n+ except OSError as exc:\n+ import errno\n \n- if exc.errno != errno.EEXIST: # Skip error if dir exists\n- import traceback as tb\n+ if exc.errno != errno.EEXIST: # Skip error if dir exists\n+ import traceback as tb\n \n- logger.warning(\n- \"Unable to create records directory. Got:\\n%s\", tb.format_exc()\n+ logger.warning(\n+ \"Unable to create records directory. Got:\\n%s\", tb.format_exc()\n+ )\n+ # check if product has already been downloaded\n+ url_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n+ record_filename = os.path.join(download_records_dir, url_hash)\n+ if os.path.isfile(record_filename) and os.path.exists(product_local_path):\n+ product.location = path_to_uri(product_local_path)\n+ return product_local_path\n+ # Remove the record file if product_local_path is absent (e.g. it was deleted while record wasn't)\n+ elif os.path.isfile(record_filename):\n+ logger.debug(\n+ \"Record file found (%s) but not the actual file\", record_filename\n )\n- # check if product has already been downloaded\n- url_hash = hashlib.md5(product.remote_location.encode(\"utf-8\")).hexdigest()\n- record_filename = os.path.join(download_records_dir, url_hash)\n- if os.path.isfile(record_filename) and os.path.exists(product_local_path):\n- product.location = path_to_uri(product_local_path)\n- return product_local_path\n- # Remove the record file if product_local_path is absent (e.g. it was deleted while record wasn't)\n- elif os.path.isfile(record_filename):\n- logger.debug(\n- \"Record file found (%s) but not the actual file\", record_filename\n- )\n- logger.debug(\"Removing record file : %s\", record_filename)\n- os.remove(record_filename)\n-\n- # total size for progress_callback\n- total_size = sum(\n- [\n- int(node.firstChild.nodeValue)\n- for node in xmldoc.getElementsByTagName(\"Size\")\n- ]\n- )\n- progress_callback.reset(total=total_size)\n+ logger.debug(\"Removing record file : %s\", record_filename)\n+ os.remove(record_filename)\n \n- # download each node key\n- for node_xml in nodes_xml_list:\n- node_key = unquote(\n- node_xml.getElementsByTagName(\"Key\")[0].firstChild.nodeValue\n- )\n- # As \"Key\", \"Size\" and \"ETag\" (md5 hash) can also be retrieved from node_xml\n- node_url = urljoin(bucket_url.strip(\"/\") + \"/\", node_key.strip(\"/\"))\n- # output file location\n- local_filename = os.path.join(\n- self.config.outputs_prefix, \"/\".join(node_key.split(\"/\")[6:])\n+ # total size for progress_callback\n+ total_size = sum(\n+ [\n+ int(node.firstChild.nodeValue)\n+ for node in xmldoc.getElementsByTagName(\"Size\")\n+ ]\n )\n- local_filename_dir = os.path.dirname(os.path.realpath(local_filename))\n- if not os.path.isdir(local_filename_dir):\n- os.makedirs(local_filename_dir)\n-\n- with requests.get(\n- node_url,\n- stream=True,\n- auth=auth,\n- timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n- ) as stream:\n- try:\n- stream.raise_for_status()\n- except RequestException:\n- import traceback as tb\n+ progress_callback.reset(total=total_size)\n \n- logger.error(\"Error while getting resource :\\n%s\", tb.format_exc())\n- else:\n- with open(local_filename, \"wb\") as fhandle:\n- for chunk in stream.iter_content(chunk_size=64 * 1024):\n- if chunk:\n- fhandle.write(chunk)\n- progress_callback(len(chunk))\n+ # download each node key\n+ for node_xml in nodes_xml_list:\n+ node_key = unquote(\n+ node_xml.getElementsByTagName(\"Key\")[0].firstChild.nodeValue\n+ )\n+ # As \"Key\", \"Size\" and \"ETag\" (md5 hash) can also be retrieved from node_xml\n+ node_url = urljoin(bucket_url.strip(\"/\") + \"/\", node_key.strip(\"/\"))\n+ # output file location\n+ local_filename_suffix_list = node_key.split(\"/\")[6:]\n+ if local_filename_suffix_list[0] == os.path.basename(\n+ product_local_path\n+ ):\n+ local_filename_suffix_list.pop(0)\n+ # single file: remove nested sub dirs\n+ if len(nodes_xml_list) == 1:\n+ local_filename_suffix_list = [local_filename_suffix_list[-1]]\n+ local_filename = os.path.join(\n+ product_local_path, *local_filename_suffix_list\n+ )\n+ local_filename_dir = os.path.dirname(os.path.realpath(local_filename))\n+ if not os.path.isdir(local_filename_dir):\n+ os.makedirs(local_filename_dir)\n+\n+ with requests.get(\n+ node_url,\n+ stream=True,\n+ auth=auth,\n+ timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ ) as stream:\n+ try:\n+ stream.raise_for_status()\n+ except RequestException:\n+ import traceback as tb\n \n- # TODO: check md5 hash ?\n+ logger.error(\n+ \"Error while getting resource :\\n%s\", tb.format_exc()\n+ )\n+ else:\n+ with open(local_filename, \"wb\") as fhandle:\n+ for chunk in stream.iter_content(chunk_size=64 * 1024):\n+ if chunk:\n+ fhandle.write(chunk)\n+ progress_callback(len(chunk))\n \n- with open(record_filename, \"w\") as fh:\n- fh.write(product.remote_location)\n- logger.debug(\"Download recorded in %s\", record_filename)\n+ with open(record_filename, \"w\") as fh:\n+ fh.write(product.remote_location)\n+ logger.debug(\"Download recorded in %s\", record_filename)\n \n- product.location = path_to_uri(product_local_path)\n- return product_local_path\n+ product.location = path_to_uri(product_local_path)\n+ return product_local_path\n+\n+ return download_request(\n+ product,\n+ auth,\n+ progress_callback,\n+ ordered_message,\n+ **kwargs,\n+ )\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 71c2efd1..81a0b99b 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1275,7 +1275,9 @@\n downloadLink: 'ns:link[@rel=\"enclosure\"]/@href'\n # storageStatus: must be one of ONLINE, STAGING, OFFLINE\n storageStatus: 'DIAS:onlineStatus/text()'\n-\n+ # order link formated for POST request usage\n+ orderLink: 'https://apis.mundiwebservices.com/odrapi/0.1/request?{{\"productId\":\"{id}\",\"collectionId\":\"{platform}\"}}'\n+ searchLink: 'https://{platform}.browse.catalog.mundiwebservices.com/opensearch?uid={id}'\n # Additional metadata provided by the providers but that don't appear in the reference spec\n thumbnail: 'media:group/media:content[media:category=\"THUMBNAIL\"]/@url'\n download: !plugin\n@@ -1284,9 +1286,38 @@\n extract: true\n auth_error_code: 401\n bucket_path_level: 0\n+ # order mechanism\n+ order_enabled: true\n+ order_method: 'POST'\n+ order_headers:\n+ accept: application/json\n+ Content-Type: application/json\n+ order_on_response:\n+ metadata_mapping:\n+ order_id: '{$.requestId#replace_str(\"Not Available\",\"\")}'\n+ reorder_id: '{$.message.`sub(/.*requestId: ([a-z0-9]+)/, \\\\1)`#replace_str(\"Not Available\",\"\")}'\n+ orderStatusLink: 'https://apis.mundiwebservices.com/odrapi/0.1/request/{order_id}{reorder_id}'\n+ order_status_method: 'GET'\n+ order_status_percent: status\n+ order_status_success:\n+ status: Success\n+ order_status_on_success:\n+ need_search: true\n+ result_type: 'xml'\n+ results_entry: '//ns:entry'\n+ metadata_mapping:\n+ downloadLink: 'ns:link[@rel=\"enclosure\"]/@href'\n+ storageStatus: 'DIAS:onlineStatus/text()'\n auth: !plugin\n- type: HTTPHeaderAuth\n+ # Mixed HTTPHeaderAuth and TokenAuth\n+ type: TokenAuth\n+ auth_uri: 'https://apis.mundiwebservices.com/token'\n+ token_type: json\n+ token_key: access_token\n+ credentials:\n+ grant_type: password\n headers:\n+ Authorization: Basic cXJic1pTVjBUWTdkZzlNRGQ0Q3ZQVXkyQV9NYToxMU5oNGtFQjFva2NvZlBlRkRYemhudWxGR3dh\n Cookie: \"seeedtoken={apikey}\"\n products:\n S1_SAR_GRD:\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 7be96aec..c6f002e6 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -118,13 +118,17 @@ def _deprecated(reason=\"\", version=None):\n class RequestsTokenAuth(AuthBase):\n \"\"\"A custom authentication class to be used with requests module\"\"\"\n \n- def __init__(self, token, where, qs_key=None):\n+ def __init__(self, token, where, qs_key=None, headers=None):\n self.token = token\n self.where = where\n self.qs_key = qs_key\n+ self.headers = headers\n \n def __call__(self, request):\n \"\"\"Perform the actual authentication\"\"\"\n+ if self.headers and isinstance(self.headers, dict):\n+ for k, v in self.headers.items():\n+ request.headers[k] = v\n if self.where == \"qs\":\n parts = urlparse(request.url)\n qs = parse_qs(parts.query)\n"},"problem_statement":{"kind":"string","value":"404 error when trying to download mundi OFFLINE product\n```py\r\nfrom eodag import EODataAccessGateway\r\ndag = EODataAccessGateway()\r\nprods, _ = dag.search(productType=\"S2_MSI_L1C\", start=\"2019-01-01\", end=\"2019-02-01\")\r\nprint(\"storageStatus: %s\" % prods[0].properties[\"storageStatus\"])\r\ndag.download(prods[0])\r\n```\r\noutputs:\r\n```\r\nstorageStatus: OFFLINE\r\n[...]\r\nRequestError: 404 Client Error: Not Found for url: https://mundiwebservices.com/dp/?prefix=Not%20Available\r\n```\r\nrelated to #441 "},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_auth_plugins.py b/tests/units/test_auth_plugins.py\nindex 99ec9a81..569e916a 100644\n--- a/tests/units/test_auth_plugins.py\n+++ b/tests/units/test_auth_plugins.py\n@@ -73,6 +73,7 @@ class TestAuthPluginTokenAuth(BaseAuthPluginTest):\n \"headers\": {\n \"Content-Type\": \"application/json;charset=UTF-8\",\n \"Accept\": \"application/json\",\n+ \"foo\": \"{foo}\",\n },\n },\n },\n@@ -146,6 +147,7 @@ class TestAuthPluginTokenAuth(BaseAuthPluginTest):\n req = mock.Mock(headers={})\n auth(req)\n assert req.headers[\"Authorization\"] == \"Bearer this_is_test_token\"\n+ assert req.headers[\"foo\"] == \"bar\"\n \n @mock.patch(\"eodag.plugins.authentication.token.requests.post\", autospec=True)\n def test_plugins_auth_tokenauth_json_token_authenticate(self, mock_requests_post):\ndiff --git a/tests/units/test_download_plugins.py b/tests/units/test_download_plugins.py\nindex e15a565b..1556a210 100644\n--- a/tests/units/test_download_plugins.py\n+++ b/tests/units/test_download_plugins.py\n@@ -16,17 +16,17 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n import os\n-import shutil\n import stat\n import unittest\n from pathlib import Path\n-from tempfile import NamedTemporaryFile, TemporaryDirectory, gettempdir, mkdtemp\n+from tempfile import NamedTemporaryFile, TemporaryDirectory, gettempdir\n from unittest import mock\n \n import responses\n \n from tests.context import (\n OFFLINE_STATUS,\n+ ONLINE_STATUS,\n EOProduct,\n NotAvailableError,\n PluginManager,\n@@ -71,12 +71,12 @@ class BaseDownloadPluginTest(unittest.TestCase):\n id=\"dummy\",\n ),\n )\n- self.output_dir = mkdtemp()\n+ self.tmp_dir = TemporaryDirectory()\n+ self.output_dir = self.tmp_dir.name\n \n def tearDown(self):\n super(BaseDownloadPluginTest, self).tearDown()\n- if os.path.isdir(self.output_dir):\n- shutil.rmtree(self.output_dir)\n+ self.tmp_dir.cleanup()\n \n def get_download_plugin(self, product):\n return self.plugins_manager.get_download_plugin(product)\n@@ -451,6 +451,54 @@ class TestDownloadPluginHttp(BaseDownloadPluginTest):\n \n run()\n \n+ def test_plugins_download_http_order_status_search_again(self):\n+ \"\"\"HTTPDownload.orderDownloadStatus() must search again after success if needed\"\"\"\n+ plugin = self.get_download_plugin(self.product)\n+ plugin.config.order_status_success = {\"status\": \"great-success\"}\n+ plugin.config.order_status_on_success = {\n+ \"need_search\": True,\n+ \"result_type\": \"xml\",\n+ \"results_entry\": \"//entry\",\n+ \"metadata_mapping\": {\n+ \"downloadLink\": \"foo/text()\",\n+ },\n+ }\n+ self.product.properties[\"orderStatusLink\"] = \"http://somewhere/order-status\"\n+ self.product.properties[\"searchLink\"] = \"http://somewhere/search-gain\"\n+\n+ auth_plugin = self.get_auth_plugin(self.product.provider)\n+ auth_plugin.config.credentials = {\"username\": \"foo\", \"password\": \"bar\"}\n+ auth = auth_plugin.authenticate()\n+\n+ @responses.activate(registry=responses.registries.OrderedRegistry)\n+ def run():\n+ responses.add(\n+ responses.GET,\n+ \"http://somewhere/order-status\",\n+ status=200,\n+ json={\"status\": \"great-success\"},\n+ )\n+ responses.add(\n+ responses.GET,\n+ \"http://somewhere/search-gain\",\n+ status=200,\n+ body=(\n+ b\"<?xml version='1.0' encoding='UTF-8' standalone='yes'?>\"\n+ b\"<feed>\"\n+ b\"<entry><foo>http://new-download-link</foo><bar>something else</bar></entry>\"\n+ b\"</feed>\"\n+ ),\n+ )\n+\n+ plugin.orderDownloadStatus(self.product, auth=auth)\n+\n+ self.assertEqual(\n+ self.product.properties[\"downloadLink\"], \"http://new-download-link\"\n+ )\n+ self.assertEqual(len(responses.calls), 2)\n+\n+ run()\n+\n \n class TestDownloadPluginHttpRetry(BaseDownloadPluginTest):\n def setUp(self):\n@@ -870,3 +918,195 @@ class TestDownloadPluginAws(BaseDownloadPluginTest):\n self.assertEqual(mock_flatten_top_directories.call_count, 0)\n \n self.assertEqual(path, execpected_output)\n+\n+\n+class TestDownloadPluginS3Rest(BaseDownloadPluginTest):\n+ def setUp(self):\n+ super(TestDownloadPluginS3Rest, self).setUp()\n+\n+ self.product = EOProduct(\n+ \"mundi\",\n+ dict(\n+ geometry=\"POINT (0 0)\",\n+ title=\"dummy_product\",\n+ id=\"dummy\",\n+ downloadLink=\"http://somewhere/some-bucket/path/to/the/product\",\n+ ),\n+ productType=\"S2_MSI_L1C\",\n+ )\n+\n+ @mock.patch(\n+ \"eodag.plugins.download.http.HTTPDownload.orderDownloadStatus\", autospec=True\n+ )\n+ @mock.patch(\"eodag.plugins.download.http.HTTPDownload.orderDownload\", autospec=True)\n+ def test_plugins_download_s3rest_online(self, mock_order, mock_order_status):\n+ \"\"\"S3RestDownload.download() must create outputfiles\"\"\"\n+\n+ self.product.properties[\"storageStatus\"] = ONLINE_STATUS\n+\n+ plugin = self.get_download_plugin(self.product)\n+ auth = self.get_auth_plugin(self.product.provider)\n+ self.product.register_downloader(plugin, auth)\n+\n+ @responses.activate(registry=responses.registries.OrderedRegistry)\n+ def run():\n+ # List bucket content\n+ responses.add(\n+ responses.GET,\n+ f\"{plugin.config.base_uri}/some-bucket?prefix=path/to/the/product\",\n+ status=200,\n+ body=(\n+ b\"<?xml version='1.0' encoding='UTF-8' standalone='yes'?>\"\n+ b\"<ListBucketResult>\"\n+ b\"<Contents><Key>0/1/2/3/4/5/path/to/some.file</Key><Size>2</Size></Contents>\"\n+ b\"<Contents><Key>0/1/2/3/4/5/path/to/another.file</Key><Size>5</Size></Contents>\"\n+ b\"</ListBucketResult>\"\n+ ),\n+ )\n+ # 1st file download response\n+ responses.add(\n+ responses.GET,\n+ f\"{plugin.config.base_uri}/some-bucket/0/1/2/3/4/5/path/to/some.file\",\n+ status=200,\n+ content_type=\"application/octet-stream\",\n+ body=b\"something\",\n+ auto_calculate_content_length=True,\n+ )\n+ # 2nd file download response\n+ responses.add(\n+ responses.GET,\n+ f\"{plugin.config.base_uri}/some-bucket/0/1/2/3/4/5/path/to/another.file\",\n+ status=200,\n+ content_type=\"application/octet-stream\",\n+ body=b\"something else\",\n+ auto_calculate_content_length=True,\n+ )\n+ path = plugin.download(self.product, outputs_prefix=self.output_dir)\n+\n+ # there must have been 3 calls (list, 1st download, 2nd download)\n+ self.assertEqual(len(responses.calls), 3)\n+\n+ self.assertEqual(path, os.path.join(self.output_dir, \"product\"))\n+ self.assertTrue(\n+ os.path.isfile(\n+ os.path.join(self.output_dir, \"product\", \"path\", \"to\", \"some.file\")\n+ )\n+ )\n+ self.assertTrue(\n+ os.path.isfile(\n+ os.path.join(\n+ self.output_dir, \"product\", \"path\", \"to\", \"another.file\"\n+ )\n+ )\n+ )\n+\n+ run()\n+\n+ mock_order.assert_not_called()\n+ mock_order_status.assert_not_called()\n+\n+ @mock.patch(\n+ \"eodag.plugins.download.http.HTTPDownload.orderDownloadStatus\", autospec=True\n+ )\n+ @mock.patch(\"eodag.plugins.download.http.HTTPDownload.orderDownload\", autospec=True)\n+ def test_plugins_download_s3rest_offline(self, mock_order, mock_order_status):\n+ \"\"\"S3RestDownload.download() must order offline products\"\"\"\n+\n+ self.product.properties[\"storageStatus\"] = OFFLINE_STATUS\n+ self.product.properties[\"orderLink\"] = \"https://some/order/api\"\n+ self.product.properties[\"orderStatusLink\"] = \"https://some/order/status/api\"\n+\n+ valid_remote_location = self.product.location\n+ # unvalid location\n+ self.product.location = self.product.remote_location = \"somewhere\"\n+\n+ plugin = self.get_download_plugin(self.product)\n+ auth = self.get_auth_plugin(self.product.provider)\n+ self.product.register_downloader(plugin, auth)\n+\n+ # no retry\n+ @responses.activate(registry=responses.registries.OrderedRegistry)\n+ def run():\n+ # bucket list request\n+ responses.add(\n+ responses.GET,\n+ \"https://mundiwebservices.com/dp/somewhere?prefix=\",\n+ status=403,\n+ )\n+ with self.assertRaises(NotAvailableError):\n+ plugin.download(\n+ self.product,\n+ outputs_prefix=self.output_dir,\n+ wait=-1,\n+ timeout=-1,\n+ )\n+ # there must have been 1 try\n+ self.assertEqual(len(responses.calls), 1)\n+\n+ run()\n+ mock_order.assert_called_once_with(mock.ANY, self.product, auth=None)\n+ mock_order_status.assert_called_once_with(mock.ANY, self.product, auth=None)\n+\n+ mock_order.reset_mock()\n+ mock_order_status.reset_mock()\n+ responses.calls.reset()\n+\n+ # retry and success\n+ self.product.retries = 0\n+\n+ def order_status_function(*args, **kwargs):\n+ if kwargs[\"product\"].retries >= 1:\n+ kwargs[\"product\"].properties[\"storageStatus\"] = ONLINE_STATUS\n+ kwargs[\"product\"].properties[\"downloadLink\"] = kwargs[\n+ \"product\"\n+ ].location = kwargs[\"product\"].remote_location = valid_remote_location\n+ kwargs[\"product\"].retries += 1\n+\n+ mock_order_status.side_effect = order_status_function\n+\n+ @responses.activate(registry=responses.registries.OrderedRegistry)\n+ def run():\n+ # 1st bucket list request\n+ responses.add(\n+ responses.GET,\n+ \"https://mundiwebservices.com/dp/somewhere?prefix=\",\n+ status=403,\n+ )\n+ # 2nd bucket list request\n+ responses.add(\n+ responses.GET,\n+ f\"{plugin.config.base_uri}/some-bucket?prefix=path/to/the/product\",\n+ status=200,\n+ body=(\n+ b\"<?xml version='1.0' encoding='UTF-8' standalone='yes'?>\"\n+ b\"<ListBucketResult>\"\n+ b\"<Contents><Key>0/1/2/3/4/5/path/to/some.file</Key><Size>2</Size></Contents>\"\n+ b\"</ListBucketResult>\"\n+ ),\n+ )\n+ # file download response\n+ responses.add(\n+ responses.GET,\n+ f\"{plugin.config.base_uri}/some-bucket/0/1/2/3/4/5/path/to/some.file\",\n+ status=200,\n+ content_type=\"application/octet-stream\",\n+ body=b\"something\",\n+ auto_calculate_content_length=True,\n+ )\n+ path = plugin.download(\n+ self.product,\n+ outputs_prefix=self.output_dir,\n+ wait=0.001 / 60,\n+ timeout=0.2 / 60,\n+ )\n+ # there must have been 2 tries and 1 download\n+ self.assertEqual(len(responses.calls), 3)\n+\n+ self.assertEqual(path, os.path.join(self.output_dir, \"product\"))\n+ self.assertTrue(\n+ os.path.isfile(os.path.join(self.output_dir, \"product\", \"some.file\"))\n+ )\n+\n+ run()\n+ mock_order.assert_called_once_with(mock.ANY, self.product, auth=None)\n+ self.assertEqual(mock_order_status.call_count, 2)\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_issue_reference\",\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 0,\n \"test_score\": 1\n },\n \"num_modified_files\": 5\n}"},"version":{"kind":"string","value":"2.8"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"attrs==25.3.0\nbackports.tarfile==1.2.0\nblinker==1.9.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndocutils==0.21.2\necmwf-api-client==1.6.5\n-e git+https://github.com/CS-SI/eodag.git@216edc2a7e22676ecfcbc77b71795fc319cb3dc4#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfilelock==3.18.0\nflake8==7.2.0\nflasgger==0.9.7.1\nFlask==3.1.0\ngeojson==3.2.0\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\njsonschema==4.23.0\njsonschema-specifications==2024.10.1\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmistune==3.1.3\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nreferencing==0.36.2\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrpds-py==0.24.0\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nsix==1.17.0\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nurllib3==1.26.20\nusgs==0.3.5\nvirtualenv==20.29.3\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - blinker==1.9.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - eodag==2.8.1.dev27+g216edc2a\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - filelock==3.18.0\n - flake8==7.2.0\n - flasgger==0.9.7.1\n - flask==3.1.0\n - geojson==3.2.0\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - jsonschema==4.23.0\n - jsonschema-specifications==2024.10.1\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - mistune==3.1.3\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - referencing==0.36.2\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rpds-py==0.24.0\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - six==1.17.0\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typing-extensions==4.13.0\n - tzdata==2025.2\n - urllib3==1.26.20\n - usgs==0.3.5\n - virtualenv==20.29.3\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_text_token_authenticate","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_status_search_again","tests/units/test_download_plugins.py::TestDownloadPluginS3Rest::test_plugins_download_s3rest_offline","tests/units/test_download_plugins.py::TestDownloadPluginS3Rest::test_plugins_download_s3rest_online"],"string":"[\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_text_token_authenticate\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_status_search_again\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginS3Rest::test_plugins_download_s3rest_offline\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginS3Rest::test_plugins_download_s3rest_online\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"],"string":"[\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_json_token_authenticate","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_request_error","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_empty","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_missing","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_ok","tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_ok","tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_authenticate","tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_request_error","tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_validate_credentials_empty","tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_validate_credentials_ok","tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance","tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing","tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_no_url","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_get","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_head","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_href","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_size","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_ok","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_one_local_asset","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_get","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_post","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_status","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_several_local_assets","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_error_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_notready_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_ok","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_once_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_short_timeout","tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_timeout_disabled","tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_get_bucket_prefix","tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_flatten_top_dirs","tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_no_flatten_top_dirs","tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build","tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build_assets"],"string":"[\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_json_token_authenticate\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_request_error\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_empty\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_missing\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_ok\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_ok\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_authenticate\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_request_error\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_validate_credentials_empty\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_validate_credentials_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_no_url\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_get\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_head\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_href\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_size\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_one_local_asset\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_get\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_post\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_status\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_several_local_assets\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_error_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_notready_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_once_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_short_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_timeout_disabled\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_get_bucket_prefix\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_flatten_top_dirs\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_no_flatten_top_dirs\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build_assets\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":477,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-749"},"base_commit":{"kind":"string","value":"50d6e60396cff60f6373ab64af5a0229a77e6906"},"created_at":{"kind":"string","value":"2023-06-27 13:06:12"},"environment_setup_commit":{"kind":"string","value":"856121900f6d973eca9d2ad3c0de61bbd706ae2c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 4 files ±0 4 suites ±0 4m 38s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"duration of all tests\") +32s\n 388 tests ±0 386 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") ±0 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") ±0 \n1 552 runs ±0 1 496 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") ±0 56 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit babc42c6. ± Comparison against base commit 50d6e603.\n\n[test-results]:data:application/gzip;base64,H4sIAG7gmmQC/03MTQ6DIBCG4asY1l0AAkIv08AICalKw8/K9O4Fa6nL95nMtyPnF5vQfWC3AaXic4+5RJ192GrSSVaop9yOo+z1SAXgIPGnp3+1nw5O+6UC7mBjDPGUWLa2STinZ/02CVOi03eTd7hsHn2dhLCuPtdARhtgFMQsFVWSWADNqREEJhhrO3AYc6Ewen8A/fuizwgBAAA=\n\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `77%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against babc42c6d892981ecca52b61c7c3981fcf005690 </p>"},"patch":{"kind":"string","value":"diff --git a/.gitignore b/.gitignore\nindex 6c8d9419..0e6aad37 100644\n--- a/.gitignore\n+++ b/.gitignore\n@@ -116,3 +116,6 @@ ext_product_types.json\n .project\n .pydevproject\n .settings/\n+\n+# Helm chart dependencies\n+charts/**/*.tgz\ndiff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml\nindex bb0201ac..54e5e823 100644\n--- a/.pre-commit-config.yaml\n+++ b/.pre-commit-config.yaml\n@@ -11,6 +11,7 @@ repos:\n - id: check-json\n - id: check-yaml\n args: [--allow-multiple-documents, --unsafe]\n+ exclude: ^charts/eodag-server/templates/\n - id: check-xml\n - id: check-added-large-files\n args: ['--maxkb=1600']\ndiff --git a/charts/eodag-server/Chart.lock b/charts/eodag-server/Chart.lock\nnew file mode 100644\nindex 00000000..d8f06a13\n--- /dev/null\n+++ b/charts/eodag-server/Chart.lock\n@@ -0,0 +1,6 @@\n+dependencies:\n+- name: common\n+ repository: oci://registry-1.docker.io/bitnamicharts\n+ version: 2.4.0\n+digest: sha256:b371e6f7f1449fa3abdcb97a04b0bbb2b5d36a4facb8e79041ac36a455b02bb0\n+generated: \"2023-06-19T12:39:44.271254606+02:00\"\ndiff --git a/charts/eodag-server/Chart.yaml b/charts/eodag-server/Chart.yaml\nnew file mode 100644\nindex 00000000..4333ee6b\n--- /dev/null\n+++ b/charts/eodag-server/Chart.yaml\n@@ -0,0 +1,18 @@\n+apiVersion: v2\n+appVersion: 2.10.0\n+dependencies:\n+- name: common\n+ repository: oci://registry-1.docker.io/bitnamicharts\n+ tags:\n+ - bitnami-common\n+ version: 2.x\n+description: EODAG (Earth Observation Data Access Gateway) is a tool for searching,\n+ aggregating results and downloading remote sensed images offering a unified API\n+ for data access regardless of the data provider.\n+home: https://github.com/CS-SI/eodag\n+icon: https://raw.githubusercontent.com/CS-SI/eodag/master/docs/_static/eodag_bycs.png\n+name: eodag-server\n+sources:\n+- https://github.com/CS-SI/eodag\n+type: application\n+version: 2.10.0\ndiff --git a/charts/eodag-server/README.md b/charts/eodag-server/README.md\nnew file mode 100644\nindex 00000000..646193d2\n--- /dev/null\n+++ b/charts/eodag-server/README.md\n@@ -0,0 +1,206 @@\n+# EODAG Server\n+\n+This chart bootstraps a [EODAG Server](https://github.com/CS-SI/eodag) deployment on a [Kubernetes](http://kubernetes.io) cluster using the [Helm](https://helm.sh) package manager.\n+\n+## TL;DR\n+\n+```console\n+helm install my-release oci://registry-1.docker.io/csspace/eodag-server\n+```\n+\n+## Prerequisites\n+\n+- Kubernetes 1.19+\n+- Helm 3.2.0+\n+\n+## Installing the Chart\n+\n+To install the chart with the release name `my-release`:\n+\n+```console\n+helm install my-release oci://registry-1.docker.io/csspace/eodag-server\n+```\n+\n+These commands deploy EODAG Server on the Kubernetes cluster in the default configuration.\n+\n+> **Tip**: List all releases using `helm list`\n+\n+## Uninstalling the Chart\n+\n+\n+To uninstall the `my-release` deployment:\n+\n+```bash\n+helm uninstall my-release\n+```\n+\n+The command removes all the Kubernetes components associated with the chart and deletes the release.\n+\n+## Parameters\n+\n+### Global parameters\n+\n+| Name | Description | Value |\n+| ------------------------- | ----------------------------------------------- | ----- |\n+| `global.imageRegistry` | Global Docker image registry | `\"\"` |\n+| `global.imagePullSecrets` | Global Docker registry secret names as an array | `[]` |\n+| `global.storageClass` | Global StorageClass for Persistent Volume(s) | `\"\"` |\n+\n+\n+### Common parameters\n+\n+| Name | Description | Value |\n+| ------------------- | -------------------------------------------------------------------- | --------------- |\n+| `kubeVersion` | Force target Kubernetes version (using Helm capabilities if not set) | `\"\"` |\n+| `nameOverride` | String to partially override common.names.fullname | `\"\"` |\n+| `fullnameOverride` | String to fully override common.names.fullname | `\"\"` |\n+| `namespaceOverride` | String to fully override common.names.namespaceapi | `\"\"` |\n+| `commonLabels` | Labels to add to all deployed objects | `{}` |\n+| `commonAnnotations` | Annotations to add to all deployed objects | `{}` |\n+| `clusterDomain` | Kubernetes cluster domain name | `cluster.local` |\n+| `extraDeploy` | Array of extra objects to deploy with the release | `[]` |\n+\n+\n+### EODAG Server parameters\n+\n+| Name | Description | Value |\n+| --------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------- | ------------------------ |\n+| `image.registry` | EODAG Server image registry | `docker.io` |\n+| `image.repository` | EODAG Server image repository | `csspace/eodag-server` |\n+| `image.tag` | Overrides the EODAG Server image tag whose default is the chart appVersion (immutable tags are recommended) | `\"\"` |\n+| `image.digest` | EODAG Server image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag | `\"\"` |\n+| `image.pullPolicy` | EODAG Server image pull policy | `IfNotPresent` |\n+| `image.pullSecrets` | Specify docker-registry secret names as an array | `[]` |\n+| `replicaCount` | Number of EODAG Server replicas | `1` |\n+| `startupProbe.enabled` | Enable startupProbe on EODAG Server containers | `false` |\n+| `startupProbe.initialDelaySeconds` | Initial delay seconds for startupProbe | `10` |\n+| `startupProbe.periodSeconds` | Period seconds for startupProbe | `10` |\n+| `startupProbe.timeoutSeconds` | Timeout seconds for startupProbe | `1` |\n+| `startupProbe.failureThreshold` | Failure threshold for startupProbe | `3` |\n+| `startupProbe.successThreshold` | Success threshold for startupProbe | `1` |\n+| `livenessProbe.enabled` | Enable livenessProbe on EODAG Server containers | `false` |\n+| `livenessProbe.initialDelaySeconds` | Initial delay seconds for livenessProbe | `3` |\n+| `livenessProbe.periodSeconds` | Period seconds for livenessProbe | `10` |\n+| `livenessProbe.timeoutSeconds` | Timeout seconds for livenessProbe | `1` |\n+| `livenessProbe.failureThreshold` | Failure threshold for livenessProbe | `3` |\n+| `livenessProbe.successThreshold` | Success threshold for livenessProbe | `1` |\n+| `readinessProbe.enabled` | Enable readinessProbe on EODAG Server containers | `false` |\n+| `readinessProbe.initialDelaySeconds` | Initial delay seconds for readinessProbe | `3` |\n+| `readinessProbe.periodSeconds` | Period seconds for readinessProbe | `10` |\n+| `readinessProbe.timeoutSeconds` | Timeout seconds for readinessProbe | `1` |\n+| `readinessProbe.failureThreshold` | Failure threshold for readinessProbe | `3` |\n+| `readinessProbe.successThreshold` | Success threshold for readinessProbe | `1` |\n+| `customLivenessProbe` | Custom livenessProbe that overrides the default one | `{}` |\n+| `customReadinessProbe` | Custom readinessProbe that overrides the default one | `{}` |\n+| `resources.limits` | The resources limits for the EODAG Server containers | `{}` |\n+| `resources.requests` | The requested resources for the EODAG Server containers | `{}` |\n+| `podSecurityContext.enabled` | Enabled EODAG Server pods' Security Context | `false` |\n+| `podSecurityContext.fsGroup` | Set EODAG Server pod's Security Context fsGroup | `1001` |\n+| `containerSecurityContext.enabled` | Enabled EODAG Server containers' Security Context | `false` |\n+| `containerSecurityContext.runAsUser` | Set EODAG Server containers' Security Context runAsUser | `1001` |\n+| `containerSecurityContext.allowPrivilegeEscalation` | Set EODAG Server containers' Security Context allowPrivilegeEscalation | `false` |\n+| `containerSecurityContext.capabilities.drop` | Set EODAG Server containers' Security Context capabilities to be dropped | `[\"all\"]` |\n+| `containerSecurityContext.readOnlyRootFilesystem` | Set EODAG Server containers' Security Context readOnlyRootFilesystem | `false` |\n+| `containerSecurityContext.runAsNonRoot` | Set EODAG Server container's Security Context runAsNonRoot | `true` |\n+| `command` | Override default container command (useful when using custom images) | `[]` |\n+| `args` | Override default container args (useful when using custom images). Overrides the defaultArgs. | `[]` |\n+| `containerPorts.http` | EODAG Server application HTTP port number | `5000` |\n+| `persistence.enabled` | Enable persistence using PVC | `false` |\n+| `persistence.medium` | Provide a medium for `emptyDir` volumes. | `\"\"` |\n+| `persistence.sizeLimit` | Set this to enable a size limit for `emptyDir` volumes. | `8Gi` |\n+| `persistence.storageClass` | PVC Storage Class for Matomo volume | `\"\"` |\n+| `persistence.accessModes` | PVC Access Mode for Matomo volume | `[\"ReadWriteOnce\"]` |\n+| `persistence.size` | PVC Storage Request for Matomo volume | `8Gi` |\n+| `persistence.dataSource` | Custom PVC data source | `{}` |\n+| `persistence.existingClaim` | A manually managed Persistent Volume Claim | `\"\"` |\n+| `persistence.hostPath` | If defined, the matomo-data volume will mount to the specified hostPath. | `\"\"` |\n+| `persistence.annotations` | Persistent Volume Claim annotations | `{}` |\n+| `persistence.labels` | Additional custom labels for the PVC | `{}` |\n+| `persistence.selector` | Selector to match an existing Persistent Volume for Matomo data PVC | `{}` |\n+| `hostAliases` | EODAG Server pods host aliases | `[]` |\n+| `podLabels` | Extra labels for EODAG Server pods | `{}` |\n+| `podAnnotations` | Annotations for EODAG Server pods | `{}` |\n+| `podAffinityPreset` | Pod affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard` | `\"\"` |\n+| `podAntiAffinityPreset` | Pod anti-affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard` | `soft` |\n+| `nodeAffinityPreset.type` | Node affinity preset type. Ignored if `affinity` is set. Allowed values: `soft` or `hard` | `\"\"` |\n+| `nodeAffinityPreset.key` | Node label key to match. Ignored if `affinity` is set | `\"\"` |\n+| `nodeAffinityPreset.values` | Node label values to match. Ignored if `affinity` is set | `[]` |\n+| `affinity` | Affinity for EODAG Server pods assignment | `{}` |\n+| `nodeSelector` | Node labels for EODAG Server pods assignment | `{}` |\n+| `tolerations` | Tolerations for EODAG Server pods assignment | `[]` |\n+| `schedulerName` | Name of the k8s scheduler (other than default) | `\"\"` |\n+| `shareProcessNamespace` | Enable shared process namespace in a pod. | `false` |\n+| `topologySpreadConstraints` | Topology Spread Constraints for pod assignment | `[]` |\n+| `updateStrategy.type` | EODAG Server statefulset strategy type | `RollingUpdate` |\n+| `priorityClassName` | EODAG Server pods' priorityClassName | `\"\"` |\n+| `runtimeClassName` | Name of the runtime class to be used by pod(s) | `\"\"` |\n+| `lifecycleHooks` | for the EODAG Server container(s) to automate configuration before or after startup | `{}` |\n+| `extraEnvVars` | Array with extra environment variables to add to EODAG Server nodes | `[]` |\n+| `extraEnvVarsCM` | Name of existing ConfigMap containing extra env vars for EODAG Server nodes | `\"\"` |\n+| `extraEnvVarsSecret` | Name of existing Secret containing extra env vars for EODAG Server nodes | `\"\"` |\n+| `extraVolumes` | Optionally specify extra list of additional volumes for the EODAG Server pod(s) | `[]` |\n+| `extraVolumeMounts` | Optionally specify extra list of additional volumeMounts for the EODAG Server container(s) | `[]` |\n+| `sidecars` | Add additional sidecar containers to the EODAG Server pod(s) | `[]` |\n+| `initContainers` | Add additional init containers to the EODAG Server pod(s) | `[]` |\n+| `logLevel` | Supported values are 0 (no log), 1 (no logging but progress bar), 2 (INFO) or 3 (DEBUG). | `2` |\n+| `productTypes` | Optional overwrite of product types default configuration | `\"\"` |\n+| `providers` | Optional overwrite of providers default configuration | `\"\"` |\n+| `config` | EODAG configuration | `{}` |\n+| `configExistingSecret.name` | Existing secret name for EODAG config. If this is set, value config will be ignored | `nil` |\n+| `configExistingSecret.key` | Existing secret key for EODAG config. If this is set, value config will be ignored | `nil` |\n+| `service.type` | Kubernetes service type | `ClusterIP` |\n+| `service.http.enabled` | Enable http port on service | `true` |\n+| `service.ports.http` | EODAG Server service HTTP port | `8080` |\n+| `service.nodePorts` | Specify the nodePort values for the LoadBalancer and NodePort service types. | `{}` |\n+| `service.sessionAffinity` | Control where client requests go, to the same pod or round-robin | `None` |\n+| `service.sessionAffinityConfig` | Additional settings for the sessionAffinity | `{}` |\n+| `service.clusterIP` | EODAG Server service clusterIP IP | `\"\"` |\n+| `service.loadBalancerIP` | loadBalancerIP for the SuiteCRM Service (optional, cloud specific) | `\"\"` |\n+| `service.loadBalancerSourceRanges` | Address that are allowed when service is LoadBalancer | `[]` |\n+| `service.externalTrafficPolicy` | Enable client source IP preservation | `Cluster` |\n+| `service.annotations` | Additional custom annotations for EODAG Server service | `{}` |\n+| `service.extraPorts` | Extra port to expose on EODAG Server service | `[]` |\n+| `ingress.enabled` | Enable the creation of an ingress for the EODAG Server | `false` |\n+| `ingress.pathType` | Path type for the EODAG Server ingress | `ImplementationSpecific` |\n+| `ingress.apiVersion` | Ingress API version for the EODAG Server ingress | `\"\"` |\n+| `ingress.hostname` | Ingress hostname for the EODAG Server ingress | `eodag.local` |\n+| `ingress.annotations` | Annotations for the EODAG Server ingress. To enable certificate autogeneration, place here your cert-manager annotations. | `{}` |\n+| `ingress.tls` | Enable TLS for the EODAG Server ingress | `false` |\n+| `ingress.extraHosts` | Extra hosts array for the EODAG Server ingress | `[]` |\n+| `ingress.path` | Path array for the EODAG Server ingress | `/` |\n+| `ingress.extraPaths` | Extra paths for the EODAG Server ingress | `[]` |\n+| `ingress.extraTls` | Extra TLS configuration for the EODAG Server ingress | `[]` |\n+| `ingress.secrets` | Secrets array to mount into the Ingress | `[]` |\n+| `ingress.ingressClassName` | IngressClass that will be be used to implement the Ingress (Kubernetes 1.18+) | `\"\"` |\n+| `ingress.selfSigned` | Create a TLS secret for this ingress record using self-signed certificates generated by Helm | `false` |\n+| `ingress.servicePort` | Backend service port to use | `http` |\n+| `ingress.extraRules` | Additional rules to be covered with this ingress record | `[]` |\n+| `serviceAccount.create` | Specifies whether a ServiceAccount should be created | `true` |\n+| `serviceAccount.name` | The name of the ServiceAccount to use. | `\"\"` |\n+| `serviceAccount.annotations` | Additional custom annotations for the ServiceAccount | `{}` |\n+| `serviceAccount.automountServiceAccountToken` | Automount service account token for the server service account | `true` |\n+\n+\n+```console\n+$ helm install my-release \\\n+ --set image.pullPolicy=Always \\\n+ my-repo/eodag-server\n+```\n+\n+The above command sets the `image.pullPolicy` to `Always`.\n+\n+Alternatively, a YAML file that specifies the values for the parameters can be provided while installing the chart. For example,\n+\n+```console\n+helm install my-release -f values.yaml my-repo/eodag-server\n+```\n+\n+> **Tip**: You can use the default [values.yaml](values.yaml)\n+\n+## Configuration and installation details\n+\n+### [Rolling VS Immutable tags](https://docs.bitnami.com/containers/how-to/understand-rolling-tags-containers/)\n+\n+It is strongly recommended to use immutable tags in a production environment. This ensures your deployment does not change automatically if the same tag is updated with a different image.\n+\n+CS Group will release a new chart updating its containers if a new version of the main container, significant changes, or critical vulnerabilities exist.\ndiff --git a/charts/eodag-server/templates/NOTES.txt b/charts/eodag-server/templates/NOTES.txt\nnew file mode 100644\nindex 00000000..ea633f7d\n--- /dev/null\n+++ b/charts/eodag-server/templates/NOTES.txt\n@@ -0,0 +1,41 @@\n+CHART NAME: {{ .Chart.Name }}\n+CHART VERSION: {{ .Chart.Version }}\n+APP VERSION: {{ .Chart.AppVersion }}\n+\n+** Please be patient while the chart is being deployed **\n+\n+1. Access your EODAG Server installation:\n+\n+{{- if .Values.ingress.enabled }}\n+ Connect to one of the following hosts:\n+ {{ if .Values.ingress.tls }}\n+ https://{{ .Values.ingress.hostname }}\n+ {{- else }}\n+ http://{{ .Values.ingress.hostname }}\n+ {{- end }}\n+{{- else }}\n+ Execute the following commands:\n+{{- if contains \"NodePort\" .Values.service.type }}\n+ export NODE_PORT=$(kubectl get --namespace {{ include \"common.names.namespace\" . }} -o jsonpath=\"{.spec.ports[0].nodePort}\" services {{ include \"common.names.fullname\" . }})\n+ export NODE_IP=$(kubectl get nodes --namespace {{ include \"common.names.namespace\" . }} -o jsonpath=\"{.items[0].status.addresses[0].address}\")\n+ export URL=\"http://${NODE_IP}:${NODE_PORT}/\"\n+ echo \"EODAG Server URL: http://$NODE_IP:$NODE_PORT/\"\n+\n+{{- else if contains \"LoadBalancer\" .Values.service.type }}\n+\n+** Please ensure an external IP is associated to the {{ include \"common.names.fullname\" . }} service before proceeding **\n+** Watch the status using: kubectl get svc --namespace {{ include \"common.names.namespace\" . }} -w {{ include \"common.names.fullname\" . }} **\n+\n+ export SERVICE_IP=$(kubectl get svc --namespace {{ include \"common.names.namespace\" . }} {{ include \"common.names.fullname\" . }} --template \"{{ \"{{ range (index .status.loadBalancer.ingress 0) }}{{ . }}{{ end }}\" }}\")\n+\n+{{- $port:=.Values.service.ports.http | toString }}\n+ export URL=\"http://${SERVICE_IP}{{- if ne $port \"80\" }}:{{ .Values.service.ports.http }}{{ end }}\"\n+ echo \"EODAG Server URL: http://$SERVICE_IP{{- if ne $port \"80\" }}:{{ .Values.service.ports.http }}{{ end }}/\"\n+\n+{{- else if contains \"ClusterIP\" .Values.service.type }}\n+\n+ kubectl port-forward --namespace {{ include \"common.names.namespace\" . }} svc/{{ include \"common.names.fullname\" . }} 8080:{{ .Values.service.ports.http }} &\n+ export URL=http://127.0.0.1:8080/\n+ echo \"EODAG Server URL: http://127.0.0.1:8080/\"\n+{{- end }}\n+{{- end }}\ndiff --git a/charts/eodag-server/templates/_helpers.tpl b/charts/eodag-server/templates/_helpers.tpl\nnew file mode 100644\nindex 00000000..06772571\n--- /dev/null\n+++ b/charts/eodag-server/templates/_helpers.tpl\n@@ -0,0 +1,77 @@\n+{{/*\n+Create the name of the service account to use\n+*/}}\n+{{- define \"eodag-server.serviceAccountName\" -}}\n+{{- if .Values.serviceAccount.create -}}\n+ {{ default (include \"common.names.fullname\" .) .Values.serviceAccount.name | trunc 63 | trimSuffix \"-\" }}\n+{{- else -}}\n+ {{ default \"default\" .Values.serviceAccount.name }}\n+{{- end -}}\n+{{- end -}}\n+\n+{{/*\n+Return the proper Docker Image Registry Secret Names\n+*/}}\n+{{- define \"eodag-server.imagePullSecrets\" -}}\n+{{- include \"common.images.pullSecrets\" (dict \"images\" (list .Values.image) \"global\" .Values.global) -}}\n+{{- end -}}\n+\n+{{/*\n+Get the config secret.\n+*/}}\n+{{- define \"eodag-server.configSecretName\" -}}\n+{{- if .Values.configExistingSecret.name }}\n+ {{- printf \"%s\" (tpl .Values.configExistingSecret.name $) -}}\n+{{- else -}}\n+ {{- printf \"%s-config\" (include \"common.names.fullname\" .) -}}\n+{{- end -}}\n+{{- end -}}\n+\n+{{/*\n+Get the client secret key.\n+*/}}\n+{{- define \"eodag-server.configSecretKey\" -}}\n+{{- if .Values.configExistingSecret.key }}\n+ {{- printf \"%s\" (tpl .Values.configExistingSecret.key $) -}}\n+{{- else -}}\n+ {{- \"eodag.yml\" -}}\n+{{- end -}}\n+{{- end -}}\n+\n+{{/*\n+Return the proper Storage Class\n+*/}}\n+{{- define \"eodag-server.storageClass\" -}}\n+{{- include \"common.storage.class\" (dict \"persistence\" .Values.persistence \"global\" .Values.global) -}}\n+{{- end -}}\n+\n+{{/*\n+Create EODAG Server app version\n+*/}}\n+{{- define \"eodag-server.defaultTag\" -}}\n+{{- default .Chart.AppVersion .Values.image.tag }}\n+{{- end -}}\n+\n+{{/*\n+Return the proper image name\n+*/}}\n+{{- define \"eodag-server.image\" -}}\n+{{- $registryName := .Values.image.registry -}}\n+{{- $repositoryName := .Values.image.repository -}}\n+{{- $separator := \":\" -}}\n+{{- $termination := .Values.image.tag | default .Chart.AppVersion | toString -}}\n+{{- if .Values.global }}\n+ {{- if .Values.global.imageRegistry }}\n+ {{- $registryName = .Values.global.imageRegistry -}}\n+ {{- end -}}\n+{{- end -}}\n+{{- if .Values.image.digest }}\n+ {{- $separator = \"@\" -}}\n+ {{- $termination = .Values.image.digest | toString -}}\n+{{- end -}}\n+{{- if $registryName }}\n+ {{- printf \"%s/%s%s%s\" $registryName $repositoryName $separator $termination -}}\n+{{- else -}}\n+ {{- printf \"%s%s%s\" $repositoryName $separator $termination -}}\n+{{- end -}}\n+{{- end -}}\ndiff --git a/charts/eodag-server/templates/configmap.yaml b/charts/eodag-server/templates/configmap.yaml\nnew file mode 100644\nindex 00000000..bd76e7c5\n--- /dev/null\n+++ b/charts/eodag-server/templates/configmap.yaml\n@@ -0,0 +1,23 @@\n+{{- if or .Values.productTypes .Values.providers }}\n+apiVersion: v1\n+kind: ConfigMap\n+metadata:\n+ name: {{ printf \"%s-config\" (include \"common.names.fullname\" .) }}\n+ namespace: {{ include \"common.names.namespace\" . | quote }}\n+ labels: {{- include \"common.labels.standard\" . | nindent 4 }}\n+ {{- if .Values.commonLabels }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonLabels \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.commonAnnotations }}\n+ annotations: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonAnnotations \"context\" $) | nindent 4 }}\n+ {{- end }}\n+data:\n+ {{- if .Values.productTypes }}\n+ product_types.yml: |-\n+ {{- .Values.productTypes | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.providers }}\n+ providers.yml: |-\n+ {{- .Values.providers | nindent 4 }}\n+ {{- end }}\n+{{- end }}\ndiff --git a/charts/eodag-server/templates/deployment.yaml b/charts/eodag-server/templates/deployment.yaml\nnew file mode 100644\nindex 00000000..33efeeab\n--- /dev/null\n+++ b/charts/eodag-server/templates/deployment.yaml\n@@ -0,0 +1,219 @@\n+apiVersion: apps/v1\n+kind: Deployment\n+metadata:\n+ name: {{ include \"common.names.fullname\" . }}\n+ namespace: {{ include \"common.names.namespace\" . | quote }}\n+ labels: {{- include \"common.labels.standard\" . | nindent 4 }}\n+ {{- if .Values.commonLabels }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonLabels \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.commonAnnotations }}\n+ annotations: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonAnnotations \"context\" $) | nindent 4 }}\n+ {{- end }}\n+spec:\n+ replicas: {{ .Values.replicaCount }}\n+ {{- if .Values.updateStrategy }}\n+ strategy: {{- toYaml .Values.updateStrategy | nindent 4 }}\n+ {{- end }}\n+ selector:\n+ matchLabels: {{- include \"common.labels.matchLabels\" . | nindent 6 }}\n+ template:\n+ metadata:\n+ labels: {{- include \"common.labels.standard\" . | nindent 8 }}\n+ {{- if .Values.podLabels }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.podLabels \"context\" $) | nindent 8 }}\n+ {{- end }}\n+ annotations:\n+ checksum/config: {{ include (print $.Template.BasePath \"/configmap.yaml\") . | sha256sum }}\n+ {{- if .Values.podAnnotations }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.podAnnotations \"context\" $) | nindent 8 }}\n+ {{- end }}\n+ spec:\n+ serviceAccountName: {{ include \"eodag-server.serviceAccountName\" . }}\n+ {{- include \"eodag-server.imagePullSecrets\" . | nindent 6 }}\n+ {{- if .Values.hostAliases }}\n+ hostAliases: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.hostAliases \"context\" $) | nindent 8 }}\n+ {{- end }}\n+ {{- if .Values.affinity }}\n+ affinity: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.affinity \"context\" $) | nindent 8 }}\n+ {{- else if or .Values.podAffinityPreset .Values.podAntiAffinityPreset .Values.nodeAffinityPreset }}\n+ affinity:\n+ podAffinity: {{- include \"common.affinities.pods\" (dict \"type\" .Values.podAffinityPreset \"instance\" .Chart.Name \"context\" $) | nindent 10 }}\n+ podAntiAffinity: {{- include \"common.affinities.pods\" (dict \"type\" .Values.podAntiAffinityPreset \"instance\" .Chart.Name \"context\" $) | nindent 10 }}\n+ nodeAffinity: {{- include \"common.affinities.nodes\" (dict \"type\" .Values.nodeAffinityPreset.type \"key\" .Values.nodeAffinityPreset.key \"values\" .Values.nodeAffinityPreset.values) | nindent 10 }}\n+ {{- end }}\n+ {{- if .Values.nodeSelector }}\n+ nodeSelector: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.nodeSelector \"context\" $) | nindent 8 }}\n+ {{- end }}\n+ {{- if .Values.tolerations }}\n+ tolerations: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.tolerations \"context\" .) | nindent 8 }}\n+ {{- end }}\n+ {{- if .Values.schedulerName }}\n+ schedulerName: {{ .Values.schedulerName }}\n+ {{- end }}\n+ {{- if .Values.shareProcessNamespace }}\n+ shareProcessNamespace: {{ .Values.shareProcessNamespace }}\n+ {{- end }}\n+ {{- if .Values.topologySpreadConstraints }}\n+ topologySpreadConstraints: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.topologySpreadConstraints \"context\" .) | nindent 8 }}\n+ {{- end }}\n+ {{- if .Values.priorityClassName }}\n+ priorityClassName: {{ .Values.priorityClassName | quote }}\n+ {{- end }}\n+ {{- if .Values.runtimeClassName }}\n+ runtimeClassName: {{ .Values.runtimeClassName }}\n+ {{- end }}\n+ {{- if .Values.podSecurityContext.enabled }}\n+ securityContext: {{- omit .Values.podSecurityContext \"enabled\" | toYaml | nindent 8 }}\n+ {{- end }}\n+ {{- with .Values.imagePullSecrets }}\n+ imagePullSecrets:\n+ {{- toYaml . | nindent 8 }}\n+ {{- end }}\n+ {{- if .Values.initContainers }}\n+ initContainers: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.initContainers \"context\" $) | nindent 8 }}\n+ {{- end }}\n+ containers:\n+ - name: eodag-server\n+ image: {{ include \"eodag-server.image\" . }}\n+ imagePullPolicy: {{ .Values.image.pullPolicy }}\n+ {{- if .Values.lifecycleHooks }}\n+ lifecycle: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.lifecycleHooks \"context\" $) | nindent 12 }}\n+ {{- end }}\n+ {{- if .Values.containerSecurityContext.enabled }}\n+ securityContext: {{- omit .Values.containerSecurityContext \"enabled\" | toYaml | nindent 12 }}\n+ {{- end }}\n+ {{- if .Values.command }}\n+ command: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.command \"context\" $) | nindent 12 }}\n+ {{- end }}\n+ {{- if .Values.args }}\n+ args: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.args \"context\" $) | nindent 12 }}\n+ {{- end }}\n+ ports:\n+ - name: http\n+ containerPort: {{ .Values.containerPorts.http }}\n+ protocol: TCP\n+ {{- if .Values.customStartupProbe }}\n+ startupProbe: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.customStartupProbe \"context\" $) | nindent 12 }}\n+ {{- else if .Values.startupProbe.enabled }}\n+ startupProbe:\n+ httpGet:\n+ path: /\n+ port: {{ .Values.containerPorts.http }}\n+ initialDelaySeconds: {{ .Values.startupProbe.initialDelaySeconds }}\n+ periodSeconds: {{ .Values.startupProbe.periodSeconds }}\n+ timeoutSeconds: {{ .Values.startupProbe.timeoutSeconds }}\n+ successThreshold: {{ .Values.startupProbe.successThreshold }}\n+ failureThreshold: {{ .Values.startupProbe.failureThreshold }}\n+ {{- end }}\n+ {{- if .Values.customLivenessProbe }}\n+ livenessProbe: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.customLivenessProbe \"context\" $) | nindent 12 }}\n+ {{- else if .Values.livenessProbe.enabled }}\n+ livenessProbe:\n+ httpGet:\n+ path: /\n+ port: {{ .Values.containerPorts.http }}\n+ initialDelaySeconds: {{ .Values.livenessProbe.initialDelaySeconds }}\n+ periodSeconds: {{ .Values.livenessProbe.periodSeconds }}\n+ timeoutSeconds: {{ .Values.livenessProbe.timeoutSeconds }}\n+ successThreshold: {{ .Values.livenessProbe.successThreshold }}\n+ failureThreshold: {{ .Values.livenessProbe.failureThreshold }}\n+ {{- end }}\n+ {{- if .Values.customReadinessProbe }}\n+ readinessProbe: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.customReadinessProbe \"context\" $) | nindent 12 }}\n+ {{- else if .Values.readinessProbe.enabled }}\n+ readinessProbe:\n+ httpGet:\n+ path: /\n+ port: {{ .Values.containerPorts.http }}\n+ initialDelaySeconds: {{ .Values.readinessProbe.initialDelaySeconds }}\n+ periodSeconds: {{ .Values.readinessProbe.periodSeconds }}\n+ timeoutSeconds: {{ .Values.readinessProbe.timeoutSeconds }}\n+ successThreshold: {{ .Values.readinessProbe.successThreshold }}\n+ failureThreshold: {{ .Values.readinessProbe.failureThreshold }}\n+ {{- end }}\n+ env:\n+ {{- if or .Values.extraEnvVars }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.extraEnvVars \"context\" $) | nindent 12 }}\n+ {{- end }}\n+ {{- if or .Values.config .Values.configExistingSecret.name }}\n+ - name: EODAG_CFG_FILE\n+ value: /eodag/eodag.yml\n+ {{- end }}\n+ {{- if gt (.Values.logLevel | int) 0 }}\n+ - name: EODAG_LOGGING\n+ value: {{ .Values.logLevel | quote }}\n+ {{- end }}\n+ {{- if or .Values.extraEnvVarsCM .Values.extraEnvVarsSecret }}\n+ envFrom:\n+ {{- if .Values.extraEnvVarsCM }}\n+ - configMapRef:\n+ name: {{ include \"common.tplvalues.render\" (dict \"value\" .Values.extraEnvVarsCM \"context\" $) }}\n+ {{- end }}\n+ {{- if .Values.extraEnvVarsSecret }}\n+ - secretRef:\n+ name: {{ include \"common.tplvalues.render\" (dict \"value\" .Values.extraEnvVarsSecret \"context\" $) }}\n+ {{- end }}\n+ {{- end }}\n+ {{- if .Values.resources }}\n+ resources: {{- toYaml .Values.resources | nindent 12 }}\n+ {{- end }}\n+ volumeMounts:\n+ {{- if .Values.productTypes }}\n+ - name: config\n+ mountPath: /eodag/eodag/resources/product_types.yml\n+ subPath: product_types.yml\n+ {{- end }}\n+ {{- if .Values.providers }}\n+ - name: config\n+ mountPath: /eodag/eodag/resources/providers.yml\n+ subPath: providers.yml\n+ {{- end }}\n+ {{- if or .Values.config .Values.configExistingSecret.name }}\n+ - name: eodag-config\n+ mountPath: /eodag/eodag.yml\n+ subPath: eodag.yml\n+ {{- end }}\n+ - name: download-data\n+ mountPath: /tmp\n+ {{- if .Values.extraVolumeMounts }}\n+ {{- toYaml .Values.extraVolumeMounts | nindent 12 }}\n+ {{- end }}\n+ {{- if .Values.sidecars }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.sidecars \"context\" $) | nindent 8 }}\n+ {{- end }}\n+ volumes:\n+ {{- if or .Values.productTypes .Values.providers }}\n+ - name: config\n+ configMap:\n+ name: {{ printf \"%s-config\" (include \"common.names.fullname\" .) }}\n+ {{- end }}\n+ {{- if or .Values.config .Values.configExistingSecret.name }}\n+ - name: eodag-config\n+ secret:\n+ secretName: {{ include \"eodag-server.configSecretName\" . }}\n+ items:\n+ - key: {{ include \"eodag-server.configSecretKey\" . }}\n+ path: {{ include \"eodag-server.configSecretKey\" . }}\n+ {{- end }}\n+ {{- if .Values.persistence.enabled }}\n+ - name: download-data\n+ persistentVolumeClaim:\n+ claimName: {{ .Values.persistence.existingClaim | default (printf \"%s-download-data\" (include \"common.names.fullname\" .)) }}\n+ {{- else }}\n+ - name: download-data\n+ {{- if or .Values.persistence.medium .Values.persistence.sizeLimit }}\n+ emptyDir:\n+ {{- if .Values.persistence.medium }}\n+ medium: {{ .Values.persistence.medium | quote }}\n+ {{- end }}\n+ {{- if .Values.persistence.sizeLimit }}\n+ sizeLimit: {{ .Values.persistence.sizeLimit | quote }}\n+ {{- end }}\n+ {{- else }}\n+ emptyDir: {}\n+ {{- end }}\n+ {{- end }}\n+ {{- if .Values.extraVolumes }}\n+ {{- toYaml .Values.extraVolumes | nindent 8 }}\n+ {{- end }}\ndiff --git a/charts/eodag-server/templates/extra-list.yaml b/charts/eodag-server/templates/extra-list.yaml\nnew file mode 100644\nindex 00000000..9ac65f9e\n--- /dev/null\n+++ b/charts/eodag-server/templates/extra-list.yaml\n@@ -0,0 +1,4 @@\n+{{- range .Values.extraDeploy }}\n+---\n+{{ include \"common.tplvalues.render\" (dict \"value\" . \"context\" $) }}\n+{{- end }}\ndiff --git a/charts/eodag-server/templates/ingress.yaml b/charts/eodag-server/templates/ingress.yaml\nnew file mode 100644\nindex 00000000..9e070a11\n--- /dev/null\n+++ b/charts/eodag-server/templates/ingress.yaml\n@@ -0,0 +1,62 @@\n+{{- if .Values.ingress.enabled -}}\n+apiVersion: {{ include \"common.capabilities.ingress.apiVersion\" . }}\n+kind: Ingress\n+metadata:\n+ name: {{ include \"common.names.fullname\" . }}\n+ namespace: {{ include \"common.names.namespace\" . | quote }}\n+ labels: {{- include \"common.labels.standard\" . | nindent 4 }}\n+ {{- if .Values.commonLabels }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonLabels \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- if or .Values.ingress.annotations .Values.commonAnnotations }}\n+ annotations:\n+ {{- if .Values.ingress.annotations }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.ingress.annotations \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.commonAnnotations }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonAnnotations \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- end }}\n+spec:\n+ {{- if and .Values.ingress.ingressClassName (eq \"true\" (include \"common.ingress.supportsIngressClassname\" .)) }}\n+ ingressClassName: {{ .Values.ingress.ingressClassName | quote }}\n+ {{- end }}\n+ rules:\n+ {{- if .Values.ingress.hostname }}\n+ - host: {{ .Values.ingress.hostname }}\n+ http:\n+ paths:\n+ {{- if .Values.ingress.extraPaths }}\n+ {{- toYaml .Values.ingress.extraPaths | nindent 10 }}\n+ {{- end }}\n+ - path: {{ .Values.ingress.path }}\n+ {{- if eq \"true\" (include \"common.ingress.supportsPathType\" .) }}\n+ pathType: {{ .Values.ingress.pathType }}\n+ {{- end }}\n+ backend: {{- include \"common.ingress.backend\" (dict \"serviceName\" (include \"common.names.fullname\" .) \"servicePort\" .Values.ingress.servicePort \"context\" $) | nindent 14 }}\n+ {{- end }}\n+ {{- range .Values.ingress.extraHosts }}\n+ - host: {{ .name | quote }}\n+ http:\n+ paths:\n+ - path: {{ default \"/\" .path }}\n+ {{- if eq \"true\" (include \"common.ingress.supportsPathType\" $) }}\n+ pathType: {{ default \"ImplementationSpecific\" .pathType }}\n+ {{- end }}\n+ backend: {{- include \"common.ingress.backend\" (dict \"serviceName\" (include \"common.names.fullname\" $) \"servicePort\" .Values.ingress.servicePort \"context\" $) | nindent 14 }}\n+ {{- end }}\n+ {{- if .Values.ingress.extraRules }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.ingress.extraRules \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- if or .Values.ingress.tls .Values.ingress.extraTls }}\n+ tls:\n+ {{- if .Values.ingress.tls }}\n+ - hosts:\n+ - {{ .Values.ingress.hostname }}\n+ secretName: {{ printf \"%s-tls\" .Values.ingress.hostname }}\n+ {{- end }}\n+ {{- if .Values.ingress.extraTls }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.ingress.extraTls \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- end }}\n+{{- end -}}\ndiff --git a/charts/eodag-server/templates/pv.yaml b/charts/eodag-server/templates/pv.yaml\nnew file mode 100644\nindex 00000000..d51081cc\n--- /dev/null\n+++ b/charts/eodag-server/templates/pv.yaml\n@@ -0,0 +1,25 @@\n+{{- if and .Values.persistence.enabled .Values.persistence.hostPath (not .Values.persistence.existingClaim) -}}\n+apiVersion: v1\n+kind: PersistentVolume\n+metadata:\n+ name: {{ include \"common.names.fullname\" . }}-matomo\n+ namespace: {{ include \"common.names.namespace\" . | quote }}\n+ labels: {{- include \"common.labels.standard\" . | nindent 4 }}\n+ {{- if .Values.commonLabels }}\n+ {{- include \"common.tplvalues.render\" ( dict \"value\" .Values.commonLabels \"context\" $ ) | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.commonAnnotations }}\n+ annotations: {{- include \"common.tplvalues.render\" ( dict \"value\" .Values.commonAnnotations \"context\" $ ) | nindent 4 }}\n+ {{- end }}\n+spec:\n+ {{- if not (empty .Values.persistence.accessModes) }}\n+ accessModes:\n+ {{- range .Values.persistence.accessModes }}\n+ - {{ . | quote }}\n+ {{- end }}\n+ {{- end }}\n+ capacity:\n+ storage: {{ .Values.persistence.size | quote }}\n+ hostPath:\n+ path: {{ .Values.persistence.hostPath | quote }}\n+{{- end -}}\ndiff --git a/charts/eodag-server/templates/pvc.yaml b/charts/eodag-server/templates/pvc.yaml\nnew file mode 100644\nindex 00000000..6c145bdc\n--- /dev/null\n+++ b/charts/eodag-server/templates/pvc.yaml\n@@ -0,0 +1,44 @@\n+{{- if and .Values.persistence.enabled (not .Values.persistence.existingClaim) -}}\n+kind: PersistentVolumeClaim\n+apiVersion: v1\n+metadata:\n+ name: {{ include \"common.names.fullname\" . }}-download-data\n+ namespace: {{ include \"common.names.namespace\" . | quote }}\n+ labels: {{- include \"common.labels.standard\" . | nindent 4 }}\n+ {{- if .Values.commonLabels }}\n+ {{- include \"common.tplvalues.render\" ( dict \"value\" .Values.commonLabels \"context\" $ ) | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.persistence.labels }}\n+ {{- toYaml .Values.persistence.labels | nindent 4 }}\n+ {{- end }}\n+ {{- if or .Values.persistence.annotations .Values.commonAnnotations }}\n+ annotations:\n+ {{- if .Values.commonAnnotations }}\n+ {{- include \"common.tplvalues.render\" ( dict \"value\" .Values.commonAnnotations \"context\" $ ) | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.persistence.annotations }}\n+ {{- include \"common.tplvalues.render\" ( dict \"value\" .Values.persistence.annotations \"context\" $ ) | nindent 4 }}\n+ {{- end }}\n+ {{- end }}\n+spec:\n+ {{- if .Values.persistence.hostPath }}\n+ storageClassName: \"\"\n+ {{- else }}\n+ {{- include \"eodag-server.storageClass\" . | nindent 2 }}\n+ {{- end }}\n+ {{- if not (empty .Values.persistence.accessModes) }}\n+ accessModes:\n+ {{- range .Values.persistence.accessModes }}\n+ - {{ . | quote }}\n+ {{- end }}\n+ {{- end }}\n+ resources:\n+ requests:\n+ storage: {{ .Values.persistence.size | quote }}\n+ {{- if .Values.persistence.selector }}\n+ selector: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.persistence.selector \"context\" $) | nindent 4 }}\n+ {{- end -}}\n+ {{- if .Values.persistence.dataSource }}\n+ dataSource: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.persistence.dataSource \"context\" $) | nindent 4 }}\n+ {{- end }}\n+{{- end -}}\ndiff --git a/charts/eodag-server/templates/secret.yaml b/charts/eodag-server/templates/secret.yaml\nnew file mode 100644\nindex 00000000..4c11aaf9\n--- /dev/null\n+++ b/charts/eodag-server/templates/secret.yaml\n@@ -0,0 +1,17 @@\n+{{- if and .Values.config (not .Values.configExistingSecret.name) }}\n+apiVersion: v1\n+kind: Secret\n+metadata:\n+ name: {{ printf \"%s-config\" (include \"common.names.fullname\" .) }}\n+ namespace: {{ include \"common.names.namespace\" . | quote }}\n+ labels: {{- include \"common.labels.standard\" . | nindent 4 }}\n+ {{- if .Values.commonLabels }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonLabels \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.commonAnnotations }}\n+ annotations: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonAnnotations \"context\" $) | nindent 4 }}\n+ {{- end }}\n+type: Opaque\n+data:\n+ eodag.yml: {{ include \"common.tplvalues.render\" (dict \"value\" .Values.config \"context\" $) | b64enc }}\n+{{- end }}\ndiff --git a/charts/eodag-server/templates/service.yaml b/charts/eodag-server/templates/service.yaml\nnew file mode 100644\nindex 00000000..4cbcbd0a\n--- /dev/null\n+++ b/charts/eodag-server/templates/service.yaml\n@@ -0,0 +1,52 @@\n+apiVersion: v1\n+kind: Service\n+metadata:\n+ name: {{ include \"common.names.fullname\" . }}\n+ namespace: {{ include \"common.names.namespace\" . | quote }}\n+ labels: {{- include \"common.labels.standard\" . | nindent 4 }}\n+ {{- if .Values.commonLabels }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonLabels \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- if or .Values.commonAnnotations .Values.service.annotations }}\n+ annotations:\n+ {{- if .Values.commonAnnotations }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonAnnotations \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.service.annotations }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.service.annotations \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- end }}\n+spec:\n+ type: {{ .Values.service.type }}\n+ {{- if and .Values.service.clusterIP (eq .Values.service.type \"ClusterIP\") }}\n+ clusterIP: {{ .Values.service.clusterIP }}\n+ {{- end }}\n+ {{- if (or (eq .Values.service.type \"LoadBalancer\") (eq .Values.service.type \"NodePort\")) }}\n+ externalTrafficPolicy: {{ .Values.service.externalTrafficPolicy | quote }}\n+ {{- end }}\n+ {{- if eq .Values.service.type \"LoadBalancer\" }}\n+ loadBalancerSourceRanges: {{ .Values.service.loadBalancerSourceRanges }}\n+ {{- end }}\n+ {{- if (and (eq .Values.service.type \"LoadBalancer\") (not (empty .Values.service.loadBalancerIP))) }}\n+ loadBalancerIP: {{ .Values.service.loadBalancerIP }}\n+ {{- end }}\n+ {{- if .Values.service.sessionAffinity }}\n+ sessionAffinity: {{ .Values.service.sessionAffinity }}\n+ {{- end }}\n+ {{- if .Values.service.sessionAffinityConfig }}\n+ sessionAffinityConfig: {{- include \"common.tplvalues.render\" (dict \"value\" .Values.service.sessionAffinityConfig \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ ports:\n+ - port: {{ .Values.service.ports.http }}\n+ targetPort: http\n+ protocol: TCP\n+ name: http\n+ {{- if (and (or (eq .Values.service.type \"NodePort\") (eq .Values.service.type \"LoadBalancer\")) (not (empty .Values.service.nodePort))) }}\n+ nodePort: {{ .Values.service.nodePorts.http }}\n+ {{- else if eq .Values.service.type \"ClusterIP\" }}\n+ nodePort: null\n+ {{- end }}\n+ {{- if .Values.service.extraPorts }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.service.extraPorts \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ selector: {{- include \"common.labels.matchLabels\" . | nindent 4 }}\ndiff --git a/charts/eodag-server/templates/serviceaccount.yaml b/charts/eodag-server/templates/serviceaccount.yaml\nnew file mode 100644\nindex 00000000..f4bde06d\n--- /dev/null\n+++ b/charts/eodag-server/templates/serviceaccount.yaml\n@@ -0,0 +1,21 @@\n+{{- if .Values.serviceAccount.create -}}\n+apiVersion: v1\n+kind: ServiceAccount\n+metadata:\n+ name: {{ include \"eodag-server.serviceAccountName\" . }}\n+ namespace: {{ include \"common.names.namespace\" . | quote }}\n+ labels: {{- include \"common.labels.standard\" . | nindent 4 }}\n+ {{- if .Values.commonLabels }}\n+ {{- include \"common.tplvalues.render\" ( dict \"value\" .Values.commonLabels \"context\" $ ) | nindent 4 }}\n+ {{- end }}\n+ {{- if or .Values.serviceAccount.annotations .Values.commonAnnotations }}\n+ annotations:\n+ {{- if .Values.commonAnnotations }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.commonAnnotations \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- if .Values.serviceAccount.annotations }}\n+ {{- include \"common.tplvalues.render\" (dict \"value\" .Values.serviceAccount.annotations \"context\" $) | nindent 4 }}\n+ {{- end }}\n+ {{- end }}\n+automountServiceAccountToken: {{ .Values.serviceAccount.automountServiceAccountToken }}\n+{{- end }}\ndiff --git a/charts/eodag-server/values.yaml b/charts/eodag-server/values.yaml\nnew file mode 100644\nindex 00000000..c1acef6b\n--- /dev/null\n+++ b/charts/eodag-server/values.yaml\n@@ -0,0 +1,692 @@\n+## @section Global parameters\n+## Global Docker image parameters\n+## Please, note that this will override the image parameters, including dependencies, configured to use the global value\n+## Current available global Docker image parameters: imageRegistry, imagePullSecrets and storageClass\n+##\n+\n+## @param global.imageRegistry Global Docker image registry\n+## @param global.imagePullSecrets Global Docker registry secret names as an array\n+## @param global.storageClass Global StorageClass for Persistent Volume(s)\n+##\n+global:\n+ imageRegistry: \"\"\n+ ## E.g.\n+ ## imagePullSecrets:\n+ ## - myRegistryKeySecretName\n+ ##\n+ imagePullSecrets: []\n+ storageClass: \"\"\n+\n+## @section Common parameters\n+##\n+\n+## @param kubeVersion Force target Kubernetes version (using Helm capabilities if not set)\n+##\n+kubeVersion: \"\"\n+## @param nameOverride String to partially override common.names.fullname\n+##\n+nameOverride: \"\"\n+## @param fullnameOverride String to fully override common.names.fullname\n+##\n+fullnameOverride: \"\"\n+## @param namespaceOverride String to fully override common.names.namespaceapi\n+##\n+namespaceOverride: \"\"\n+## @param commonLabels Labels to add to all deployed objects\n+##\n+commonLabels: {}\n+## @param commonAnnotations Annotations to add to all deployed objects\n+##\n+commonAnnotations: {}\n+## @param clusterDomain Kubernetes cluster domain name\n+##\n+clusterDomain: cluster.local\n+## @param extraDeploy Array of extra objects to deploy with the release\n+##\n+extraDeploy: []\n+\n+## @section EODAG Server parameters\n+\n+## CS Group EODAG Server image version\n+## ref: https://hub.docker.com/r/csspace/eodag-server\n+## @param image.registry EODAG Server image registry\n+## @param image.repository EODAG Server image repository\n+## @param image.tag Overrides the EODAG Server image tag whose default is the chart appVersion (immutable tags are recommended)\n+## @param image.digest EODAG Server image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag\n+## @param image.pullPolicy EODAG Server image pull policy\n+## @param image.pullSecrets Specify docker-registry secret names as an array\n+## Number of replicas to deploy\n+##\n+image:\n+ registry: docker.io\n+ repository: csspace/eodag-server\n+ tag: \"\"\n+ digest: \"\"\n+ ## Specify a imagePullPolicy\n+ ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'\n+ ## ref: https://kubernetes.io/docs/user-guide/images/#pre-pulling-images\n+ ##\n+ pullPolicy: IfNotPresent\n+ ## Optionally specify an array of imagePullSecrets.\n+ ## Secrets must be manually created in the namespace.\n+ ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/\n+ ## Example:\n+ ## pullSecrets:\n+ ## - myRegistryKeySecretName\n+ ##\n+ pullSecrets: []\n+\n+## @param replicaCount Number of EODAG Server replicas\n+##\n+replicaCount: 1\n+\n+## Configure extra options for EODAG Server containers' liveness and readiness probes\n+## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes\n+## @param startupProbe.enabled Enable startupProbe on EODAG Server containers\n+## @param startupProbe.initialDelaySeconds Initial delay seconds for startupProbe\n+## @param startupProbe.periodSeconds Period seconds for startupProbe\n+## @param startupProbe.timeoutSeconds Timeout seconds for startupProbe\n+## @param startupProbe.failureThreshold Failure threshold for startupProbe\n+## @param startupProbe.successThreshold Success threshold for startupProbe\n+##\n+startupProbe:\n+ enabled: false\n+ initialDelaySeconds: 10\n+ periodSeconds: 10\n+ timeoutSeconds: 1\n+ failureThreshold: 3\n+ successThreshold: 1\n+## @param livenessProbe.enabled Enable livenessProbe on EODAG Server containers\n+## @param livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe\n+## @param livenessProbe.periodSeconds Period seconds for livenessProbe\n+## @param livenessProbe.timeoutSeconds Timeout seconds for livenessProbe\n+## @param livenessProbe.failureThreshold Failure threshold for livenessProbe\n+## @param livenessProbe.successThreshold Success threshold for livenessProbe\n+##\n+livenessProbe:\n+ enabled: false\n+ initialDelaySeconds: 3\n+ periodSeconds: 10\n+ timeoutSeconds: 1\n+ failureThreshold: 3\n+ successThreshold: 1\n+## @param readinessProbe.enabled Enable readinessProbe on EODAG Server containers\n+## @param readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe\n+## @param readinessProbe.periodSeconds Period seconds for readinessProbe\n+## @param readinessProbe.timeoutSeconds Timeout seconds for readinessProbe\n+## @param readinessProbe.failureThreshold Failure threshold for readinessProbe\n+## @param readinessProbe.successThreshold Success threshold for readinessProbe\n+##\n+readinessProbe:\n+ enabled: false\n+ initialDelaySeconds: 3\n+ periodSeconds: 10\n+ timeoutSeconds: 1\n+ failureThreshold: 3\n+ successThreshold: 1\n+\n+## @param customLivenessProbe Custom livenessProbe that overrides the default one\n+##\n+customLivenessProbe: {}\n+\n+## @param customReadinessProbe Custom readinessProbe that overrides the default one\n+##\n+customReadinessProbe: {}\n+\n+## EODAG Server resource requests and limits\n+## ref: https://kubernetes.io/docs/user-guide/compute-resources/\n+## @param resources.limits The resources limits for the EODAG Server containers\n+## @param resources.requests The requested resources for the EODAG Server containers\n+##\n+resources:\n+ limits: {}\n+ requests: {}\n+\n+## Configure Pods Security Context\n+## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod\n+## @param podSecurityContext.enabled Enabled EODAG Server pods' Security Context\n+## @param podSecurityContext.fsGroup Set EODAG Server pod's Security Context fsGroup\n+##\n+podSecurityContext:\n+ enabled: false\n+ fsGroup: 1001\n+\n+## Configure Container Security Context\n+## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod\n+## @param containerSecurityContext.enabled Enabled EODAG Server containers' Security Context\n+## @param containerSecurityContext.runAsUser Set EODAG Server containers' Security Context runAsUser\n+## @param containerSecurityContext.allowPrivilegeEscalation Set EODAG Server containers' Security Context allowPrivilegeEscalation\n+## @param containerSecurityContext.capabilities.drop Set EODAG Server containers' Security Context capabilities to be dropped\n+## @param containerSecurityContext.readOnlyRootFilesystem Set EODAG Server containers' Security Context readOnlyRootFilesystem\n+## @param containerSecurityContext.runAsNonRoot Set EODAG Server container's Security Context runAsNonRoot\n+##\n+containerSecurityContext:\n+ enabled: false\n+ runAsUser: 1001\n+ allowPrivilegeEscalation: false\n+ capabilities:\n+ drop:\n+ - all\n+ readOnlyRootFilesystem: false\n+ runAsNonRoot: true\n+\n+## @param command Override default container command (useful when using custom images)\n+##\n+command: []\n+\n+## @param args Override default container args (useful when using custom images). Overrides the defaultArgs.\n+##\n+args: []\n+\n+## EODAG Server application ports\n+## @param containerPorts.http EODAG Server application HTTP port number\n+containerPorts:\n+ http: 5000\n+\n+## Enable persistence using Persistent Volume Claims\n+## ref: https://kubernetes.io/docs/user-guide/persistent-volumes/\n+##\n+persistence:\n+ ## @param persistence.enabled Enable persistence using PVC\n+ ##\n+ enabled: false\n+ ## @param persistence.medium Provide a medium for `emptyDir` volumes.\n+ ##\n+ medium: \"\"\n+ ## @param persistence.sizeLimit Set this to enable a size limit for `emptyDir` volumes.\n+ ##\n+ sizeLimit: 8Gi\n+ ## @param persistence.storageClass PVC Storage Class for Matomo volume\n+ ## If defined, storageClassName: <storageClass>\n+ ## If set to \"-\", storageClassName: \"\", which disables dynamic provisioning\n+ ## If undefined (the default) or set to null, no storageClassName spec is\n+ ## set, choosing the default provisioner. (gp2 on AWS, standard on\n+ ## GKE, AWS & OpenStack)\n+ ##\n+ storageClass: \"\"\n+ ## @param persistence.accessModes PVC Access Mode for Matomo volume\n+ ## Requires persistence.enabled: true\n+ ## If defined, PVC must be created manually before volume will be bound\n+ ##\n+ accessModes:\n+ - ReadWriteOnce\n+ ## @param persistence.size PVC Storage Request for Matomo volume\n+ ##\n+ size: 8Gi\n+ ## @param persistence.dataSource Custom PVC data source\n+ ##\n+ dataSource: {}\n+ ## @param persistence.existingClaim A manually managed Persistent Volume Claim\n+ ## Requires persistence.enabled: true\n+ ## If defined, PVC must be created manually before volume will be bound\n+ ##\n+ existingClaim: \"\"\n+ ## @param persistence.hostPath If defined, the matomo-data volume will mount to the specified hostPath.\n+ ## Requires persistence.enabled: true\n+ ## Requires persistence.existingClaim: nil|false\n+ ## Default: nil.\n+ ##\n+ hostPath: \"\"\n+ ## @param persistence.annotations Persistent Volume Claim annotations\n+ ##\n+ annotations: {}\n+ ## @param persistence.labels Additional custom labels for the PVC\n+ ##\n+ labels: {}\n+ ## @param persistence.selector Selector to match an existing Persistent Volume for Matomo data PVC\n+ ## If set, the PVC can't have a PV dynamically provisioned for it\n+ ## E.g.\n+ ## selector:\n+ ## matchLabels:\n+ ## app: my-app\n+ ##\n+ selector: {}\n+\n+## @param hostAliases EODAG Server pods host aliases\n+## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/\n+##\n+hostAliases: []\n+\n+## @param podLabels Extra labels for EODAG Server pods\n+## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/\n+##\n+podLabels: {}\n+\n+## @param podAnnotations Annotations for EODAG Server pods\n+## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/\n+##\n+podAnnotations: {}\n+\n+## @param podAffinityPreset Pod affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`\n+## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity\n+##\n+podAffinityPreset: \"\"\n+\n+## @param podAntiAffinityPreset Pod anti-affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`\n+## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity\n+##\n+podAntiAffinityPreset: soft\n+\n+## Node affinity preset\n+## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity\n+##\n+nodeAffinityPreset:\n+ ## @param nodeAffinityPreset.type Node affinity preset type. Ignored if `affinity` is set. Allowed values: `soft` or `hard`\n+ ##\n+ type: \"\"\n+ ## @param nodeAffinityPreset.key Node label key to match. Ignored if `affinity` is set\n+ ##\n+ key: \"\"\n+ ## @param nodeAffinityPreset.values Node label values to match. Ignored if `affinity` is set\n+ ## E.g.\n+ ## values:\n+ ## - e2e-az1\n+ ## - e2e-az2\n+ ##\n+ values: []\n+\n+## @param affinity Affinity for EODAG Server pods assignment\n+## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity\n+## NOTE: `podAffinityPreset`, `podAntiAffinityPreset`, and `nodeAffinityPreset` will be ignored when it's set\n+##\n+affinity: {}\n+\n+## @param nodeSelector Node labels for EODAG Server pods assignment\n+## ref: https://kubernetes.io/docs/user-guide/node-selection/\n+##\n+nodeSelector: {}\n+\n+## @param tolerations Tolerations for EODAG Server pods assignment\n+## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/\n+##\n+tolerations: []\n+\n+## @param schedulerName Name of the k8s scheduler (other than default)\n+## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/\n+##\n+schedulerName: \"\"\n+\n+## @param shareProcessNamespace Enable shared process namespace in a pod.\n+## If set to false (default), each container will run in separate namespace, will have PID=1.\n+## If set to true, the /pause will run as init process and will reap any zombie PIDs,\n+## for example, generated by a custom exec probe running longer than a probe timeoutSeconds.\n+## Enable this only if customLivenessProbe or customReadinessProbe is used and zombie PIDs are accumulating.\n+## Ref: https://kubernetes.io/docs/tasks/configure-pod-container/share-process-namespace/\n+##\n+shareProcessNamespace: false\n+\n+## @param topologySpreadConstraints Topology Spread Constraints for pod assignment\n+## https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/\n+## The value is evaluated as a template\n+##\n+topologySpreadConstraints: []\n+\n+## @param updateStrategy.type EODAG Server statefulset strategy type\n+## ref: https://kubernetes.io/docs/concepts/workloads/s/statefulset/#update-strategies\n+##\n+updateStrategy:\n+ ## StrategyType\n+ ## Can be set to RollingUpdate or OnDelete\n+ ##\n+ type: RollingUpdate\n+\n+## @param priorityClassName EODAG Server pods' priorityClassName\n+##\n+priorityClassName: \"\"\n+\n+## @param runtimeClassName Name of the runtime class to be used by pod(s)\n+## ref: https://kubernetes.io/docs/concepts/containers/runtime-class/\n+##\n+runtimeClassName: \"\"\n+\n+## @param lifecycleHooks for the EODAG Server container(s) to automate configuration before or after startup\n+##\n+lifecycleHooks: {}\n+\n+## @param extraEnvVars Array with extra environment variables to add to EODAG Server nodes\n+## e.g:\n+## extraEnvVars:\n+## - name: FOO\n+## value: \"bar\"\n+##\n+extraEnvVars: []\n+\n+## @param extraEnvVarsCM Name of existing ConfigMap containing extra env vars for EODAG Server nodes\n+##\n+extraEnvVarsCM: \"\"\n+\n+## @param extraEnvVarsSecret Name of existing Secret containing extra env vars for EODAG Server nodes\n+##\n+extraEnvVarsSecret: \"\"\n+\n+## @param extraVolumes Optionally specify extra list of additional volumes for the EODAG Server pod(s)\n+##\n+extraVolumes: []\n+\n+## @param extraVolumeMounts Optionally specify extra list of additional volumeMounts for the EODAG Server container(s)\n+##\n+extraVolumeMounts: []\n+\n+## @param sidecars Add additional sidecar containers to the EODAG Server pod(s)\n+## e.g:\n+## sidecars:\n+## - name: your-image-name\n+## image: your-image\n+## imagePullPolicy: Always\n+## ports:\n+## - name: portname\n+## containerPort: 1234\n+##\n+sidecars: []\n+\n+## @param initContainers Add additional init containers to the EODAG Server pod(s)\n+## ref: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/\n+## e.g:\n+## initContainers:\n+## - name: your-image-name\n+## image: your-image\n+## imagePullPolicy: Always\n+## command: ['sh', '-c', 'echo \"hello world\"']\n+##\n+initContainers: []\n+\n+## @param logLevel Supported values are 0 (no log), 1 (no logging but progress bar), 2 (INFO) or 3 (DEBUG).\n+logLevel: 2\n+\n+## @param productTypes Optional overwrite of product types default configuration\n+## ref: https://github.com/CS-SI/eodag/blob/masster/eodag/resources/product_types.yml\n+productTypes: \"\"\n+# productTypes: |-\n+# # CBERS 4 ---------------------------------------------------------------------\n+# CBERS4_MUX_L2:\n+# abstract: |\n+# China-Brazil Earth Resources Satellite, CBERS-4 MUX camera Level-2 product. System corrected images, expect some\n+# translation error.\n+# instrument: MUX\n+# platform: CBERS\n+# platformSerialIdentifier: CBERS-4\n+# processingLevel: L2\n+# keywords: MUX,CBERS,CBERS-4,L2\n+# sensorType: OPTICAL\n+# license: proprietary\n+# missionStartDate: \"2014-12-07T00:00:00Z\"\n+# title: CBERS-4 MUX Level-2\n+\n+## @param providers Optional overwrite of providers default configuration\n+## ref: https://github.com/CS-SI/eodag/blob/master/eodag/resources/providers.yml\n+providers: \"\"\n+# providers: |-\n+# !provider\n+# name: usgs\n+# priority: 0\n+# description: U.S geological survey catalog for Landsat products\n+# roles:\n+# - host\n+# url: https://earthexplorer.usgs.gov/\n+# api: !plugin\n+# type: UsgsApi\n+# need_auth: true\n+# google_base_url: 'http://storage.googleapis.com/earthengine-public/landsat/'\n+# pagination:\n+# max_items_per_page: 5000\n+# total_items_nb_key_path: '$.totalHits'\n+# common_metadata_mapping_path: '$'\n+# metadata_mapping:\n+# id: '$.displayId'\n+# geometry: '$.spatialBounds'\n+# productType: '$.productType'\n+# title: '$.displayId'\n+# abstract: '$.summary'\n+# cloudCover: '$.cloudCover'\n+# startTimeFromAscendingNode: '$.temporalCoverage.startDate'\n+# completionTimeFromAscendingNode: '$.temporalCoverage.endDate'\n+# publicationDate: '$.publishDate'\n+# thumbnail: '$.browse[0].thumbnailPath'\n+# quicklook: '$.browse[0].browsePath'\n+# storageStatus: '{$.available#get_group_name((?P<ONLINE>True)|(?P<OFFLINE>False))}'\n+# downloadLink: 'https://earthexplorer.usgs.gov/download/external/options/{productType}/{entityId}/M2M/'\n+# # metadata needed for download\n+# entityId: '$.entityId'\n+# productId: '$.id'\n+# extract: True\n+# order_enabled: true\n+# products:\n+# # datasets list http://kapadia.github.io/usgs/_sources/reference/catalog/ee.txt may be outdated\n+# # see also https://dds.cr.usgs.gov/ee-data/coveragemaps/shp/ee/\n+# LANDSAT_C2L1:\n+# dataset: landsat_ot_c2_l1\n+# outputs_extension: .tar.gz\n+# LANDSAT_C2L2:\n+# dataset: landsat_ot_c2_l2\n+# outputs_extension: .tar.gz\n+# S2_MSI_L1C:\n+# dataset: SENTINEL_2A\n+# outputs_extension: .zip\n+# GENERIC_PRODUCT_TYPE:\n+# dataset: '{productType}'\n+\n+## @param config [object] EODAG configuration\n+## doc: https://eodag.readthedocs.io/en/stable/getting_started_guide/configure.html\n+## ref: https://github.com/CS-SI/eodag/blob/master/eodag/resources/user_conf_template.yml\n+config:\n+ # peps:\n+ # priority: # Lower value means lower priority (Default: 1)\n+ # search: # Search parameters configuration\n+ # download:\n+ # extract: # whether to extract the downloaded products, only applies to archived products (true or false, Default: true).\n+ # outputs_prefix: # where to store downloaded products, as an absolute file path (Default: local temporary directory)\n+ # dl_url_params: # additional parameters to pass over to the download url as an url parameter\n+ # delete_archive: # whether to delete the downloaded archives (true or false, Default: true).\n+ # auth:\n+ # credentials:\n+ # username:\n+ # password:\n+ # cop_cds:\n+ # priority: # Lower value means lower priority (Default: 0)\n+ # api:\n+ # outputs_prefix:\n+ # credentials:\n+ # username:\n+ # password:\n+ # cop_dataspace:\n+ # priority: # Lower value means lower priority (Default: 0)\n+ # search: # Search parameters configuration\n+ # download:\n+ # extract:\n+ # outputs_prefix:\n+ # auth:\n+ # credentials:\n+ # username:\n+ # password:\n+\n+## @param configExistingSecret.name Existing secret name for EODAG config. If this is set, value config will be ignored\n+## @param configExistingSecret.key Existing secret key for EODAG config. If this is set, value config will be ignored\n+configExistingSecret:\n+ name:\n+ key:\n+\n+## Service configuration\n+##\n+service:\n+ ## @param service.type Kubernetes service type\n+ ##\n+ type: ClusterIP\n+ ## @param service.http.enabled Enable http port on service\n+ ##\n+ http:\n+ enabled: true\n+ ## @param service.ports.http EODAG Server service HTTP port\n+ ##\n+ ports:\n+ http: 8080\n+ ## @param service.nodePorts [object] Specify the nodePort values for the LoadBalancer and NodePort service types.\n+ ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport\n+ ##\n+ nodePorts:\n+ http: \"\"\n+ ## @param service.sessionAffinity Control where client requests go, to the same pod or round-robin\n+ ## Values: ClientIP or None\n+ ## ref: https://kubernetes.io/docs/user-guide/services/\n+ ##\n+ sessionAffinity: None\n+ ## @param service.sessionAffinityConfig Additional settings for the sessionAffinity\n+ ## sessionAffinityConfig:\n+ ## clientIP:\n+ ## timeoutSeconds: 300\n+ ##\n+ sessionAffinityConfig: {}\n+ ## @param service.clusterIP EODAG Server service clusterIP IP\n+ ## e.g:\n+ ## clusterIP: None\n+ ##\n+ clusterIP: \"\"\n+ ## @param service.loadBalancerIP loadBalancerIP for the SuiteCRM Service (optional, cloud specific)\n+ ## ref: https://kubernetes.io/docs/user-guide/services/#type-loadbalancer\n+ ##\n+ loadBalancerIP: \"\"\n+ ## @param service.loadBalancerSourceRanges Address that are allowed when service is LoadBalancer\n+ ## https://kubernetes.io/docs/tasks/access-application-cluster/configure-cloud-provider-firewall/#restrict-access-for-loadbalancer-service\n+ ## Example:\n+ ## loadBalancerSourceRanges:\n+ ## - 10.10.10.0/24\n+ ##\n+ loadBalancerSourceRanges: []\n+ ## @param service.externalTrafficPolicy Enable client source IP preservation\n+ ## ref https://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip\n+ ##\n+ externalTrafficPolicy: Cluster\n+ ## @param service.annotations Additional custom annotations for EODAG Server service\n+ ##\n+ annotations: {}\n+ ## @param service.extraPorts Extra port to expose on EODAG Server service\n+ ##\n+ extraPorts: []\n+\n+## Configure the ingress for the EODAG Server\n+## Ref: https://kubernetes.io/docs/user-guide/ingress/\n+## @param ingress.enabled Enable the creation of an ingress for the EODAG Server\n+## @param ingress.pathType Path type for the EODAG Server ingress\n+## @param ingress.apiVersion Ingress API version for the EODAG Server ingress\n+## @param ingress.hostname Ingress hostname for the EODAG Server ingress\n+## @param ingress.annotations Annotations for the EODAG Server ingress. To enable certificate autogeneration, place here your cert-manager annotations.\n+## @param ingress.tls Enable TLS for the EODAG Server ingress\n+## @param ingress.extraHosts Extra hosts array for the EODAG Server ingress\n+## @param ingress.path Path array for the EODAG Server ingress\n+## @param ingress.extraPaths Extra paths for the EODAG Server ingress\n+## @param ingress.extraTls Extra TLS configuration for the EODAG Server ingress\n+## @param ingress.secrets Secrets array to mount into the Ingress\n+## @param ingress.ingressClassName IngressClass that will be be used to implement the Ingress (Kubernetes 1.18+)\n+##\n+ingress:\n+ ## Set to true to enable ingress record generation\n+ ##\n+ enabled: false\n+ ## @param ingress.selfSigned Create a TLS secret for this ingress record using self-signed certificates generated by Helm\n+ ##\n+ selfSigned: false\n+ ## Ingress Path type\n+ ##\n+ pathType: ImplementationSpecific\n+ ## Override API Version (automatically detected if not set)\n+ ##\n+ apiVersion: \"\"\n+ ## When the ingress is enabled, a host pointing to this will be created\n+ ##\n+ hostname: eodag.local\n+ ## The Path to eodag. You may need to set this to '/*' in order to use this\n+ ## with ALB ingress s.\n+ ##\n+ path: /\n+ ## @param ingress.servicePort Backend service port to use\n+ ## Default is http. Alternative is https.\n+ ##\n+ servicePort: http\n+ ## For a full list of possible ingress annotations, please see\n+ ## ref: https://github.com/kubernetes/ingress-nginx/blob/master/docs/user-guide/nginx-configuration/annotations.md\n+ ## Use this parameter to set the required annotations for cert-manager, see\n+ ## ref: https://cert-manager.io/docs/usage/ingress/#supported-annotations\n+ ##\n+ ## e.g:\n+ ## annotations:\n+ ## kubernetes.io/ingress.class: nginx\n+ ## cert-manager.io/cluster-issuer: cluster-issuer-name\n+ ##\n+ annotations: {}\n+ ## Enable TLS configuration for the hostname defined at ingress.hostname parameter\n+ ## TLS certificates will be retrieved from a TLS secret with name: {{- printf \"%s-tls\" .Values.ingress.hostname }}\n+ ## You can use the ingress.secrets parameter to create this TLS secret or rely on cert-manager to create it\n+ ##\n+ tls: false\n+ ## The list of additional hostnames to be covered with this ingress record.\n+ ## Most likely the hostname above will be enough, but in the event more hosts are needed, this is an array\n+ extraHosts: []\n+ ## - name: eodag.local\n+ ## path: /\n+ ##\n+ ## Any additional arbitrary paths that may need to be added to the ingress under the main host.\n+ ## For example: The ALB ingress requires a special rule for handling SSL redirection.\n+ extraPaths: []\n+ ## - path: /*\n+ ## backend:\n+ ## serviceName: ssl-redirect\n+ ## servicePort: use-annotation\n+ ##\n+ ## The tls configuration for additional hostnames to be covered with this ingress record.\n+ ## see: https://kubernetes.io/docs/concepts/services-networking/ingress/#tls\n+ extraTls: []\n+ ## - hosts:\n+ ## - eodag.local\n+ ## secretName: eodag.local-tls\n+ ##\n+\n+ ## If you're providing your own certificates, please use this to add the certificates as secrets\n+ ## key and certificate should start with -----BEGIN CERTIFICATE----- or\n+ ## -----BEGIN RSA PRIVATE KEY-----\n+ ##\n+ ## name should line up with a tlsSecret set further up\n+ ## If you're using cert-manager, this is unneeded, as it will create the secret for you if it is not set\n+ ##\n+ ## It is also possible to create and manage the certificates outside of this helm chart\n+ ## Please see README.md for more information\n+ ##\n+ secrets: []\n+ ## - name: eodag.local-tls\n+ ## key:\n+ ## certificate:\n+ ##\n+\n+ ## This is supported in Kubernetes 1.18+ and required if you have more than one IngressClass marked as the default for your cluster .\n+ ## ref: https://kubernetes.io/blog/2020/04/02/improvements-to-the-ingress-api-in-kubernetes-1.18/\n+ ##\n+ ingressClassName: \"\"\n+ ## @param ingress.extraRules Additional rules to be covered with this ingress record\n+ ## ref: https://kubernetes.io/docs/concepts/services-networking/ingress/#ingress-rules\n+ ## e.g:\n+ ## extraRules:\n+ ## - host: example.local\n+ ## http:\n+ ## path: /\n+ ## backend:\n+ ## service:\n+ ## name: example-svc\n+ ## port:\n+ ## name: http\n+ ##\n+ extraRules: []\n+\n+## ServiceAccount configuration\n+##\n+serviceAccount:\n+ ## @param serviceAccount.create Specifies whether a ServiceAccount should be created\n+ ##\n+ create: true\n+ ## @param serviceAccount.name The name of the ServiceAccount to use.\n+ ## If not set and create is true, a name is generated using the common.names.fullname template\n+ ##\n+ name: \"\"\n+ ## @param serviceAccount.annotations Additional custom annotations for the ServiceAccount\n+ ##\n+ annotations: {}\n+ ## @param serviceAccount.automountServiceAccountToken Automount service account token for the server service account\n+ ##\n+ automountServiceAccountToken: true\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex cfd19e15..437d11b0 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -2714,7 +2714,6 @@\n stream: oper\n class: mc\n expver: '0001'\n- step: 0\n variable:\n - dust_aerosol_0.03-0.55um_mixing_ratio\n - dust_aerosol_0.55-0.9um_mixing_ratio\ndiff --git a/eodag/rest/utils.py b/eodag/rest/utils.py\nindex de5d168a..e9955275 100644\n--- a/eodag/rest/utils.py\n+++ b/eodag/rest/utils.py\n@@ -589,8 +589,6 @@ def download_stac_item_by_id(catalogs, item_id, provider=None):\n \n product = search_product_by_id(item_id, product_type=catalogs[0])[0]\n \n- eodag_api.providers_config[product.provider].download.extract = False\n-\n product_path = eodag_api.download(product, extract=False)\n \n if os.path.isdir(product_path):\n"},"problem_statement":{"kind":"string","value":"Invalid keyword `step` in download requests for CAMS_EAC4 with cop_ads\nWhile trying to download the product type `CAMS_EAC4` with the provider `cop_ads`, the download request fails with an `Invalid key name` error for the key `step`."},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_apis_plugins.py b/tests/units/test_apis_plugins.py\nindex 8c4c6d3c..496db0ce 100644\n--- a/tests/units/test_apis_plugins.py\n+++ b/tests/units/test_apis_plugins.py\n@@ -640,7 +640,6 @@ class TestApisPluginCdsApi(BaseApisPluginTest):\n \"stream\": \"oper\",\n \"class\": \"mc\",\n \"expver\": \"0001\",\n- \"step\": 0,\n \"variable\": [\n \"dust_aerosol_0.03-0.55um_mixing_ratio\",\n \"dust_aerosol_0.55-0.9um_mixing_ratio\",\ndiff --git a/tests/units/test_http_server.py b/tests/units/test_http_server.py\nindex 72f97057..f302ef06 100644\n--- a/tests/units/test_http_server.py\n+++ b/tests/units/test_http_server.py\n@@ -627,7 +627,7 @@ class RequestTestCase(unittest.TestCase):\n \"eodag.rest.utils.eodag_api.download\",\n autospec=True,\n )\n- def test_download_item_from_collection(self, mock_download):\n+ def test_download_item_from_collection_api_plugin(self, mock_download):\n \"\"\"Download through eodag server catalog should return a valid response\"\"\"\n # download returns a file that must be returned as is\n tmp_dl_dir = TemporaryDirectory()\n@@ -635,6 +635,11 @@ class RequestTestCase(unittest.TestCase):\n Path(expected_file).touch()\n mock_download.return_value = expected_file\n \n+ # use an external python API provider for this test\n+ self._request_valid_raw.patchings[0].kwargs[\"return_value\"][0][\n+ 0\n+ ].provider = \"cop_cds\"\n+\n response = self._request_valid_raw(\n f\"collections/{self.tested_product_type}/items/foo/download\"\n )\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_added_files\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 1,\n \"test_score\": 0\n },\n \"num_modified_files\": 4\n}"},"version":{"kind":"string","value":"2.10"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": null,\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@50d6e60396cff60f6373ab64af5a0229a77e6906#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.1\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nstarlette==0.46.1\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.10.1.dev17+g50d6e603\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.1\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - shellingham==1.5.4\n - six==1.17.0\n - sniffio==1.3.1\n - starlette==0.46.1\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typer==0.15.2\n - typing-extensions==4.13.0\n - typing-inspection==0.4.0\n - tzdata==2025.2\n - ujson==5.10.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - uvicorn==0.34.0\n - uvloop==0.21.0\n - virtualenv==20.29.3\n - watchfiles==1.0.4\n - websockets==15.0.1\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_api_plugin"],"string":"[\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_api_plugin\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_authenticate","tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download","tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download_all","tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_dates_missing","tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_with_custom_producttype","tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_with_producttype","tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_without_producttype","tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_authenticate","tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_download","tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_query","tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_authenticate","tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_download","tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_download_all","tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_logging","tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_query_dates_missing","tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_query_with_custom_producttype","tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_query_with_producttype","tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_query_without_producttype","tests/units/test_http_server.py::RequestTestCase::test_auth_error","tests/units/test_http_server.py::RequestTestCase::test_catalog_browse","tests/units/test_http_server.py::RequestTestCase::test_cloud_cover_post_search","tests/units/test_http_server.py::RequestTestCase::test_collection","tests/units/test_http_server.py::RequestTestCase::test_conformance","tests/units/test_http_server.py::RequestTestCase::test_date_search","tests/units/test_http_server.py::RequestTestCase::test_date_search_from_catalog_items","tests/units/test_http_server.py::RequestTestCase::test_date_search_from_items","tests/units/test_http_server.py::RequestTestCase::test_download_item_from_catalog","tests/units/test_http_server.py::RequestTestCase::test_filter","tests/units/test_http_server.py::RequestTestCase::test_forward","tests/units/test_http_server.py::RequestTestCase::test_list_product_types_nok","tests/units/test_http_server.py::RequestTestCase::test_list_product_types_ok","tests/units/test_http_server.py::RequestTestCase::test_not_found","tests/units/test_http_server.py::RequestTestCase::test_request_params","tests/units/test_http_server.py::RequestTestCase::test_route","tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_catalog","tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_collection","tests/units/test_http_server.py::RequestTestCase::test_search_response_contains_pagination_info","tests/units/test_http_server.py::RequestTestCase::test_service_desc","tests/units/test_http_server.py::RequestTestCase::test_service_doc","tests/units/test_http_server.py::RequestTestCase::test_stac_extension_oseo"],"string":"[\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_authenticate\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download_all\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_dates_missing\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_with_custom_producttype\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_with_producttype\",\n \"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_query_without_producttype\",\n \"tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_authenticate\",\n \"tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_download\",\n \"tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_query\",\n \"tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_authenticate\",\n \"tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_download\",\n \"tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_download_all\",\n \"tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_logging\",\n \"tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_query_dates_missing\",\n \"tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_query_with_custom_producttype\",\n \"tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_query_with_producttype\",\n \"tests/units/test_apis_plugins.py::TestApisPluginCdsApi::test_plugins_apis_cds_query_without_producttype\",\n \"tests/units/test_http_server.py::RequestTestCase::test_auth_error\",\n \"tests/units/test_http_server.py::RequestTestCase::test_catalog_browse\",\n \"tests/units/test_http_server.py::RequestTestCase::test_cloud_cover_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_collection\",\n \"tests/units/test_http_server.py::RequestTestCase::test_conformance\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search_from_catalog_items\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search_from_items\",\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_catalog\",\n \"tests/units/test_http_server.py::RequestTestCase::test_filter\",\n \"tests/units/test_http_server.py::RequestTestCase::test_forward\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_nok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_ok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_not_found\",\n \"tests/units/test_http_server.py::RequestTestCase::test_request_params\",\n \"tests/units/test_http_server.py::RequestTestCase::test_route\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_catalog\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_collection\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_response_contains_pagination_info\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_desc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_doc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_stac_extension_oseo\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":478,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-751"},"base_commit":{"kind":"string","value":"92a537f7811a06f336712de6b8c07a9b80cf6de6"},"created_at":{"kind":"string","value":"2023-06-27 16:20:06"},"environment_setup_commit":{"kind":"string","value":"856121900f6d973eca9d2ad3c0de61bbd706ae2c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 4 files ±0 4 suites ±0 4m 0s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"duration of all tests\") -6s\n 388 tests ±0 386 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") ±0 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") ±0 \n1 552 runs ±0 1 496 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") ±0 56 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 45cae33d. ± Comparison against base commit 50d6e603.\n\n[test-results]:data:application/gzip;base64,H4sIAB0Nm2QC/02MzQ6DIBAGX8Vw7qELC2JfxiA/CalKg3Bq+u4Fq9S9zXzZeRPnZ7uRR4e3jmzZpwYmR5V8WAtSvBdRplRHJuVJ45a13pX4q6d/1Z8mnPJzES0x2hhDPEzMa20C5/Sgswk4iKZ+Td7EpbnzNanDsvhUgCDXyjJmeqDUcGdAAR0Q5VQOJmWgRy6cBfL5AqpVr/cIAQAA\n\ngithub-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 45cae33d7122d5fd1a129448bbbb1bad17456fe1 </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `77%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 45cae33d7122d5fd1a129448bbbb1bad17456fe1 </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/rest/utils.py b/eodag/rest/utils.py\nindex de5d168a..e9955275 100644\n--- a/eodag/rest/utils.py\n+++ b/eodag/rest/utils.py\n@@ -589,8 +589,6 @@ def download_stac_item_by_id(catalogs, item_id, provider=None):\n \n product = search_product_by_id(item_id, product_type=catalogs[0])[0]\n \n- eodag_api.providers_config[product.provider].download.extract = False\n-\n product_path = eodag_api.download(product, extract=False)\n \n if os.path.isdir(product_path):\n"},"problem_statement":{"kind":"string","value":"Impossible to download data with providers using api plugin in REST mode\nIn REST mode, when a provider does not get the download plugin, data download fails with the following error :\r\n`AttributeError: 'ProviderConfig' object has no attribute 'download'`\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_http_server.py b/tests/units/test_http_server.py\nindex 72f97057..f302ef06 100644\n--- a/tests/units/test_http_server.py\n+++ b/tests/units/test_http_server.py\n@@ -627,7 +627,7 @@ class RequestTestCase(unittest.TestCase):\n \"eodag.rest.utils.eodag_api.download\",\n autospec=True,\n )\n- def test_download_item_from_collection(self, mock_download):\n+ def test_download_item_from_collection_api_plugin(self, mock_download):\n \"\"\"Download through eodag server catalog should return a valid response\"\"\"\n # download returns a file that must be returned as is\n tmp_dl_dir = TemporaryDirectory()\n@@ -635,6 +635,11 @@ class RequestTestCase(unittest.TestCase):\n Path(expected_file).touch()\n mock_download.return_value = expected_file\n \n+ # use an external python API provider for this test\n+ self._request_valid_raw.patchings[0].kwargs[\"return_value\"][0][\n+ 0\n+ ].provider = \"cop_cds\"\n+\n response = self._request_valid_raw(\n f\"collections/{self.tested_product_type}/items/foo/download\"\n )\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 2,\n \"test_score\": 3\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.10"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@92a537f7811a06f336712de6b8c07a9b80cf6de6#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nstarlette==0.46.1\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.10.1.dev18+g92a537f7\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - shellingham==1.5.4\n - six==1.17.0\n - sniffio==1.3.1\n - starlette==0.46.1\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typer==0.15.2\n - typing-extensions==4.13.0\n - typing-inspection==0.4.0\n - tzdata==2025.2\n - ujson==5.10.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - uvicorn==0.34.0\n - uvloop==0.21.0\n - virtualenv==20.29.3\n - watchfiles==1.0.4\n - websockets==15.0.1\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_api_plugin"],"string":"[\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_api_plugin\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_http_server.py::RequestTestCase::test_auth_error","tests/units/test_http_server.py::RequestTestCase::test_catalog_browse","tests/units/test_http_server.py::RequestTestCase::test_cloud_cover_post_search","tests/units/test_http_server.py::RequestTestCase::test_collection","tests/units/test_http_server.py::RequestTestCase::test_conformance","tests/units/test_http_server.py::RequestTestCase::test_date_search","tests/units/test_http_server.py::RequestTestCase::test_date_search_from_catalog_items","tests/units/test_http_server.py::RequestTestCase::test_date_search_from_items","tests/units/test_http_server.py::RequestTestCase::test_download_item_from_catalog","tests/units/test_http_server.py::RequestTestCase::test_filter","tests/units/test_http_server.py::RequestTestCase::test_forward","tests/units/test_http_server.py::RequestTestCase::test_list_product_types_nok","tests/units/test_http_server.py::RequestTestCase::test_list_product_types_ok","tests/units/test_http_server.py::RequestTestCase::test_not_found","tests/units/test_http_server.py::RequestTestCase::test_request_params","tests/units/test_http_server.py::RequestTestCase::test_route","tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_catalog","tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_collection","tests/units/test_http_server.py::RequestTestCase::test_search_response_contains_pagination_info","tests/units/test_http_server.py::RequestTestCase::test_service_desc","tests/units/test_http_server.py::RequestTestCase::test_service_doc","tests/units/test_http_server.py::RequestTestCase::test_stac_extension_oseo"],"string":"[\n \"tests/units/test_http_server.py::RequestTestCase::test_auth_error\",\n \"tests/units/test_http_server.py::RequestTestCase::test_catalog_browse\",\n \"tests/units/test_http_server.py::RequestTestCase::test_cloud_cover_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_collection\",\n \"tests/units/test_http_server.py::RequestTestCase::test_conformance\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search_from_catalog_items\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search_from_items\",\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_catalog\",\n \"tests/units/test_http_server.py::RequestTestCase::test_filter\",\n \"tests/units/test_http_server.py::RequestTestCase::test_forward\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_nok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_ok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_not_found\",\n \"tests/units/test_http_server.py::RequestTestCase::test_request_params\",\n \"tests/units/test_http_server.py::RequestTestCase::test_route\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_catalog\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_collection\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_response_contains_pagination_info\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_desc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_doc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_stac_extension_oseo\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":479,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-756"},"base_commit":{"kind":"string","value":"c38d36ec0be2c490d04060030c10726ecf327972"},"created_at":{"kind":"string","value":"2023-07-04 12:56:02"},"environment_setup_commit":{"kind":"string","value":"856121900f6d973eca9d2ad3c0de61bbd706ae2c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 4 files ±0 4 suites ±0 4m 12s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"duration of all tests\") +5s\n 388 tests ±0 386 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") ±0 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") ±0 \n1 552 runs ±0 1 496 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") ±0 56 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 9fa9f9d6. ± Comparison against base commit c38d36ec.\n\n[test-results]:data:application/gzip;base64,H4sIAM0XpGQC/02NSw7DIAwFrxKx7iIkQHAvUyGDJdR8KgKrqHcv0IZmOfPk8cHIz25n907cOrYnHxvYFEz025pxkEMWeYplHLU+6bEnxKrUXz39q9w0QcbPWfRNuBC28DMhraXJZX1R6GxyAaqpb1M2cWlWviZxWxYfMzAgAwRWkZhGDoMA0oBSO2MsAtDYS+TcTZK9P6pWRjkIAQAA\n\ngithub-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 9fa9f9d6f47319249f89c58eaadc99f305c11e75 </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `77%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 9fa9f9d6f47319249f89c58eaadc99f305c11e75 </p>"},"patch":{"kind":"string","value":"diff --git a/docker/stac-server.dockerfile b/docker/stac-server.dockerfile\nindex 543e1ea8..f7fb4b6c 100644\n--- a/docker/stac-server.dockerfile\n+++ b/docker/stac-server.dockerfile\n@@ -65,7 +65,7 @@ RUN chmod +x /eodag/run-stac-server.sh\n \n # add user\n RUN addgroup --system user \\\n- && adduser --system --group user\n+ && adduser --system --home /home/user --group user\n \n # switch to non-root user\n USER user\ndiff --git a/docs/api_reference/core.rst b/docs/api_reference/core.rst\nindex f9a57381..6a5f8551 100644\n--- a/docs/api_reference/core.rst\n+++ b/docs/api_reference/core.rst\n@@ -79,6 +79,7 @@ Misc\n .. autosummary::\n \n EODataAccessGateway.group_by_extent\n+ EODataAccessGateway.guess_product_type\n \n .. autoclass:: eodag.api.core.EODataAccessGateway\n :members: set_preferred_provider, get_preferred_provider, update_providers_config, list_product_types,\ndiff --git a/docs/cli_user_guide.rst b/docs/cli_user_guide.rst\nindex 798b4839..d36035d7 100644\n--- a/docs/cli_user_guide.rst\n+++ b/docs/cli_user_guide.rst\n@@ -106,6 +106,26 @@ string search sent to the provider. For instance, if you want to add foo=1 and b\n --cruncher-args FilterOverlap minimum_overlap 10 \\\n --query \"foo=1&bar=2\"\n \n+* If the product type is not known, it can also be guessed by EODAG during the search based on parameters in the search request. The possible parameters are:\n+\n+ * `instrument` (e.g. MSI)\n+ * `platform` (e.g. SENTINEL2)\n+ * `platformSerialIdentifier` (e.g. S2A)\n+ * `processingLevel` (e.g. L1)\n+ * `sensorType` (e.g. OPTICAL)\n+ * `keywords` (e.g. SENTINEL2 L1C SAFE), which is case insensitive and ignores `-` or `_` characters\n+\n+For example, the following search request will first search for a product type for platform SENTINEL2 and processingLevel L1\n+(there are several product types matching these criteria, e.g., `S2_MSI_L1C`) and then use this product type to execute the actual search.\n+\n+.. code-block:: console\n+\n+ eodag search \\\n+ --platform SENTINEL2 \\\n+ --processingLevel L1 \\\n+ --box 1 43 2 44 \\\n+ --start 2021-03-01 --end 2021-03-31\n+\n * To download the result of a previous call to ``search``:\n \n .. code-block:: console\ndiff --git a/docs/getting_started_guide/configure.rst b/docs/getting_started_guide/configure.rst\nindex 7c2b22ad..c7814106 100644\n--- a/docs/getting_started_guide/configure.rst\n+++ b/docs/getting_started_guide/configure.rst\n@@ -136,7 +136,7 @@ API: Dynamic configuration\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n \n ``eodag`` 's configuration can be altered directly from using Python. See this\n-`dedicated page <../notebooks/api_uder_guide/3_configuration.ipynb>`_ in the Python API user guide.\n+`dedicated page <../notebooks/api_user_guide/3_configuration.ipynb>`_ in the Python API user guide.\n \n Priority setting\n ^^^^^^^^^^^^^^^^\n@@ -246,3 +246,62 @@ Or with the CLI:\n -p S2_MSI_L1C \\\n --storage my_search.geojson\n eodag download -f my_config.yml --search-results my_search.geojson\n+\n+Authenticate using an OTP / One Time Password (Two-Factor authentication)\n+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n+\n+Use OTP through Python code\n+\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n+\n+``creodias`` needs a temporary 6-digits code to authenticate in addition of the ``username`` and ``password``. Check\n+`Creodias documentation <https://creodias.docs.cloudferro.com/en/latest/gettingstarted/Two-Factor-Authentication-for-Creodias-Site.html>`_\n+to see how to get this code once you are registered. This OTP code will only be valid for a few seconds, so you will\n+better set it dynamically in your python code instead of storing it statically in your user configuration file.\n+\n+Set the OTP by updating ``creodias`` credentials for ``totp`` entry, using one of the two following configuration update\n+commands:\n+\n+.. code-block:: python\n+\n+ dag.providers_config[\"creodias\"].auth.credentials[\"totp\"] = \"PLEASE_CHANGE_ME\"\n+\n+ # OR\n+\n+ dag.update_providers_config(\n+ \"\"\"\n+ creodias:\n+ auth:\n+ credentials:\n+ totp: PLEASE_CHANGE_ME\n+ \"\"\"\n+ )\n+\n+Then quickly authenticate as this OTP has a few seconds only lifetime. First authentication will retrieve a token that\n+will be stored and used if further authentication tries fail:\n+\n+.. code-block:: python\n+\n+ dag._plugins_manager.get_auth_plugin(\"creodias\").authenticate()\n+\n+Please note that authentication mechanism is already included in\n+`download methods <https://eodag.readthedocs.io/en/stable/notebooks/api_user_guide/7_download.html>`_ , so you could also directly execute a\n+download to retrieve the token while the OTP is still valid.\n+\n+Use OTP through CLI\n+\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n+\n+To download through CLI a product on a provider that needs a One Time Password, e.g. ``creodias``, first search on this\n+provider (increase the provider priotity to make eodag search on it):\n+\n+.. code-block:: console\n+\n+ EODAG__CREODIAS__PRIORITY=2 eodag search -b 1 43 2 44 -s 2018-01-01 -e 2018-01-31 -p S2_MSI_L1C --items 1\n+\n+Then download using the OTP (``creodias`` needs it as ``totp`` parameter):\n+\n+.. code-block:: console\n+\n+ EODAG__CREODIAS__AUTH__CREDENTIALS__TOTP=PLEASE_CHANGE_ME eodag download --search-results search_results.geojson\n+\n+If needed, check in the documentation how to\n+`use environment variables to configure EODAG <#environment-variable-configuration>`_.\ndiff --git a/docs/getting_started_guide/register.rst b/docs/getting_started_guide/register.rst\nindex bea5eecd..863b5455 100644\n--- a/docs/getting_started_guide/register.rst\n+++ b/docs/getting_started_guide/register.rst\n@@ -15,7 +15,12 @@ to each provider supported by ``eodag``:\n \n * ``peps``: create an account `here <https://peps.cnes.fr/rocket/#/register>`__, then use your email as `username` in eodag credentials.\n \n-* ``creodias``: create an account `here <https://portal.creodias.eu/register.php>`__\n+* ``creodias``: create an account `here <https://portal.creodias.eu/register.php>`__, then use your `username`, `password` in eodag credentials. You will also\n+ need `totp` in credentials, a temporary 6-digits OTP (One Time Password, see\n+ `Creodias documentation <https://creodias.docs.cloudferro.com/en/latest/gettingstarted/Two-Factor-Authentication-for-Creodias-Site.html>`__)\n+ to be able to authenticate and download. Check\n+ `Authenticate using an OTP <https://eodag.readthedocs.io/en/latest/getting_started_guide/configure.html#authenticate-using-an-otp-one-time-password-two-factor-authentication>`__\n+ to see how to proceed.\n \n * ``onda``: create an account `here: <https://www.onda-dias.eu/cms/>`__\n \n@@ -54,7 +59,7 @@ to each provider supported by ``eodag``:\n \n * Create an account on `EOS <https://auth.eos.com>`__\n \n- * Get your EOS api key from `here <https://console.eos.com>`__\n+ * Get your EOS api key from `here <https://api-connect.eos.com/user-dashboard/statistics>`__\n \n * Create an account on `AWS <https://aws.amazon.com/>`__\n \n@@ -97,3 +102,5 @@ to each provider supported by ``eodag``:\n none exists).\n \n * Add these credentials to the user configuration file.\n+\n+* ``earth_search_cog``: no authentication needed.\ndiff --git a/docs/notebooks/api_user_guide/4_search.ipynb b/docs/notebooks/api_user_guide/4_search.ipynb\nindex b7dffa31..fb306d9f 100644\n--- a/docs/notebooks/api_user_guide/4_search.ipynb\n+++ b/docs/notebooks/api_user_guide/4_search.ipynb\n@@ -1,6 +1,7 @@\n {\n \"cells\": [\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -8,6 +9,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -15,6 +17,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -45,6 +48,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -66,6 +70,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -73,6 +78,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -82,6 +88,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -89,6 +96,7 @@\n ]\n },\n {\n+ 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\"metadata\": {},\n \"source\": [\n@@ -1952,6 +2005,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -1959,10 +2013,11 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n- \"`eodag` has an internal product type catalog which stores a number of metadata for each product type (see [this page](../../getting_started_guide/product_types.rst) for more information). It is actually possible to search for products by using some of these metadata. In that case, `eodag` will query its own catalog and use **the product type that best matches the query**. The supported kwargs are:\\n\",\n+ \"`eodag` has an internal product type catalog which stores a number of metadata for each product type (see [this page](../../getting_started_guide/product_types.rst) for more information). It is actually possible to search for products by using some of these metadata. In that case, `eodag` will query its own catalog and use **the product type that best matches the query** among the available product types (i.e. all product types offered by providers where the necessary credentials are provided). The supported kwargs are:\\n\",\n \"\\n\",\n \"* `instrument` (e.g. *MSI*)\\n\",\n \"* `platform` (e.g. *SENTINEL2*)\\n\",\n@@ -1972,6 +2027,14 @@\n \"* `keywords` (e.g. *SENTINEL2 L1C SAFE*), which is case insensitive and ignores `-` or `_` characters\"\n ]\n },\n+ {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"For example if we call the method with platform=\\\"SENTINEL1\\\", all the product types offering products from this platform will be returned.\"\n+ ]\n+ },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 46,\n@@ -1992,6 +2055,14 @@\n \"dag.guess_product_type(platform=\\\"SENTINEL1\\\")\"\n ]\n },\n+ {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"By passing the following argument we can get all collections that contain the keyword collection2 and a keyword that starts with \\\"LANDSAT\\\".\"\n+ ]\n+ },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 47,\n@@ -2024,10 +2095,142 @@\n ]\n },\n {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"In the previous request we made use of the whoosh query language which can be used to do complex text search. It supports the boolean operators AND, OR and NOT to combine the search terms. If a space is given between two words as in the example above, this corresponds to the operator AND. Brackets '()' can also be used. The example above also shows the use of the wildcard operator '*' which can represent any numer of characters. The wildcard operator '?' always represents only one character. It is also possible to match a range of terms by using square brackets '[]' and TO, e.g. [A TO D] will match all words in the lexical range between A and D. Below you can find some examples for the different operators.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"dag.guess_product_type(platform=\\\"LANDSAT OR SENTINEL1\\\")\"\n+ ]\n+ },\n+ {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"returns all product types where the platform is either LANDSAT or SENTINEL1:\\n\",\n+ \"\\n\",\n+ \"['L57_REFLECTANCE', 'LANDSAT_C2L1', 'LANDSAT_C2L2', 'LANDSAT_C2L2ALB_BT', 'LANDSAT_C2L2ALB_SR', 'LANDSAT_C2L2ALB_ST', 'LANDSAT_C2L2ALB_TA', 'LANDSAT_C2L2_SR', 'LANDSAT_C2L2_ST', 'LANDSAT_ETM_C1', 'LANDSAT_ETM_C2L1', 'LANDSAT_ETM_C2L2', 'LANDSAT_TM_C1', 'LANDSAT_TM_C2L1', 'LANDSAT_TM_C2L2', 'S1_SAR_GRD', 'S1_SAR_OCN', 'S1_SAR_RAW', 'S1_SAR_SLC']\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"dag.guess_product_type(keywords=\\\"(LANDSAT AND collection2) OR SAR\\\")\"\n+ ]\n+ },\n+ {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"returns all product types which contain either the keywords LANDSAT and collection2 or the keyword SAR:\\n\",\n+ \"\\n\",\n+ \"['LANDSAT_C2L1', 'LANDSAT_C2L2', 'LANDSAT_C2L2ALB_BT', 'LANDSAT_C2L2ALB_SR', 'LANDSAT_C2L2ALB_ST', 'LANDSAT_C2L2ALB_TA', 'LANDSAT_C2L2_SR', 'LANDSAT_C2L2_ST', 'LANDSAT_ETM_C2L1', 'LANDSAT_ETM_C2L2', 'LANDSAT_TM_C2L1', 'LANDSAT_TM_C2L2', 'S1_SAR_GRD', 'S1_SAR_OCN', 'S1_SAR_RAW', 'S1_SAR_SLC']\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"dag.guess_product_type(platformSerialIdentifier=\\\"L?\\\")\"\n+ ]\n+ },\n+ {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"returns all product types where the platformSerialIdentifier is composed of 'L' and one other character:\\n\",\n+ \"\\n\",\n+ \"['L57_REFLECTANCE', 'L8_OLI_TIRS_C1L1', 'L8_REFLECTANCE', 'LANDSAT_C2L1', 'LANDSAT_C2L2', 'LANDSAT_C2L2ALB_BT', 'LANDSAT_C2L2ALB_SR', 'LANDSAT_C2L2ALB_ST', 'LANDSAT_C2L2ALB_TA', 'LANDSAT_C2L2_SR', 'LANDSAT_C2L2_ST', 'LANDSAT_ETM_C1', 'LANDSAT_ETM_C2L1', 'LANDSAT_ETM_C2L2', 'LANDSAT_TM_C1', 'LANDSAT_TM_C2L1', 'LANDSAT_TM_C2L2']\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"dag.guess_product_type(platform=\\\"[SENTINEL1 TO SENTINEL3]\\\")\"\n+ ]\n+ },\n+ {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"returns all product types where the platform is SENTINEL1, SENTINEL2 or SENTINEL3:\\n\",\n+ \"\\n\",\n+ \"['S1_SAR_GRD', 'S1_SAR_OCN', 'S1_SAR_RAW', 'S1_SAR_SLC', 'S2_MSI_L1C', 'S2_MSI_L2A', 'S2_MSI_L2A_COG', 'S2_MSI_L2A_MAJA', 'S2_MSI_L2B_MAJA_SNOW', 'S2_MSI_L2B_MAJA_WATER', 'S2_MSI_L3A_WASP', 'S3_EFR', 'S3_ERR', 'S3_LAN', 'S3_OLCI_L2LFR', 'S3_OLCI_L2LRR', 'S3_OLCI_L2WFR', 'S3_OLCI_L2WRR', 'S3_RAC', 'S3_SLSTR_L1RBT', 'S3_SLSTR_L2AOD', 'S3_SLSTR_L2FRP', 'S3_SLSTR_L2LST', 'S3_SLSTR_L2WST', 'S3_SRA', 'S3_SRA_A', 'S3_SRA_BS', 'S3_SY_AOD', 'S3_SY_SYN', 'S3_SY_V10', 'S3_SY_VG1', 'S3_SY_VGP', 'S3_WAT']\"\n+ ]\n+ },\n+ {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"We can also pass several parameters at the same time, e.g.:\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"dag.guess_product_type(platform=\\\"LANDSAT\\\", platformSerialIdentifier=\\\"L1\\\")\"\n+ ]\n+ },\n+ {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"['LANDSAT_C2L1', \\n\",\n+ \"'L57_REFLECTANCE', \\n\",\n+ \"'LANDSAT_C2L2', \\n\",\n+ \"'LANDSAT_C2L2ALB_BT', \\n\",\n+ \"'LANDSAT_C2L2ALB_SR', \\n\",\n+ \"'LANDSAT_C2L2ALB_ST', \\n\",\n+ \"'LANDSAT_C2L2ALB_TA', \\n\",\n+ \"'LANDSAT_C2L2_SR', \\n\",\n+ \"'LANDSAT_C2L2_ST', \\n\",\n+ \"'LANDSAT_ETM_C1', \\n\",\n+ \"'LANDSAT_ETM_C2L1', \\n\",\n+ \"'LANDSAT_ETM_C2L2', \\n\",\n+ \"'LANDSAT_TM_C1', \\n\",\n+ \"'LANDSAT_TM_C2L1', \\n\",\n+ \"'LANDSAT_TM_C2L2']\"\n+ ]\n+ },\n+ {\n+ \"attachments\": {},\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"The product types in the result are ordered by how well they match the criteria. In the example above only the first product type (LANDSAT_C2L1) matches the second parameter (platformSerialIdentifier=\\\"L1\\\"), all other product types only match the first criterion. Therefore, it is usually best to use the first product type in the list as it will be the one that fits best.\"\n+ ]\n+ },\n+ {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n- \"A search is made without specifying `productType`, however hints are passed with following supported kwargs. `guess_product_type()` will internally be used to get the best matching product type.\"\n+ \"If a search is made without specifying `productType` but hints are passed with following supported kwargs, `guess_product_type()` will internally be used to get the best matching product type.\"\n ]\n },\n {\n@@ -2105,10 +2308,11 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n- \"`eodag` searched through its metadata catalog and the product type that best matched the hints happend to be `S2_MSI_L1C`. Internally it used that product type to search for products.\"\n+ \"`eodag` searches through its metadata catalog and checks which product type corresponds to the given parameters. There is a product type called `S2_MSI_L1C`, for the platform SENTINEL2 with the platformSerialIdentifiers S2A and S2B using the instrument MSI and the sensorType OPTICAL. Thus, all parameters of the product type `S2_MSI_L1C` are matching to the given search criteria and it is chosen to be internally used to search for products. If no product type is matching all the criteria, the one with the most matches is chosen, if several product types match all the given criteria, the first one is chosen.\"\n ]\n },\n {\n@@ -2132,6 +2336,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -2139,6 +2344,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -2146,6 +2352,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -2159,6 +2366,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -2191,6 +2399,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -2218,6 +2427,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -2225,6 +2435,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n@@ -2255,6 +2466,7 @@\n ]\n },\n {\n+ \"attachments\": {},\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\ndiff --git a/eodag/plugins/authentication/keycloak.py b/eodag/plugins/authentication/keycloak.py\nindex 26b4d2e7..9266e721 100644\n--- a/eodag/plugins/authentication/keycloak.py\n+++ b/eodag/plugins/authentication/keycloak.py\n@@ -21,43 +21,101 @@ import requests\n from eodag.plugins.authentication import Authentication\n from eodag.plugins.authentication.openid_connect import CodeAuthorizedAuth\n from eodag.utils import USER_AGENT\n-from eodag.utils.exceptions import AuthenticationError\n+from eodag.utils.exceptions import AuthenticationError, MisconfiguredError\n from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n \n \n class KeycloakOIDCPasswordAuth(Authentication):\n- \"\"\"Authentication plugin using Keycloak and OpenId Connect\"\"\"\n+ \"\"\"Authentication plugin using Keycloak and OpenId Connect.\n+\n+ This plugin request a token and use it through a query-string or a header.\n+\n+ Using :class:`~eodag.plugins.download.http.HTTPDownload` a download link\n+ `http://example.com?foo=bar` will become\n+ `http://example.com?foo=bar&my-token=obtained-token` if associated to the following\n+ configuration::\n+\n+ provider:\n+ ...\n+ auth:\n+ plugin: KeycloakOIDCPasswordAuth\n+ auth_base_uri: 'https://somewhere/auth'\n+ realm: 'the-realm'\n+ client_id: 'SOME_ID'\n+ client_secret: '01234-56789'\n+ token_provision: qs\n+ token_qs_key: 'my-token'\n+ ...\n+ ...\n+\n+ If configured to send the token through the header, the download request header will\n+ be updated with `Authorization: \"Bearer obtained-token\"` if associated to the\n+ following configuration::\n+\n+ provider:\n+ ...\n+ auth:\n+ plugin: KeycloakOIDCPasswordAuth\n+ auth_base_uri: 'https://somewhere/auth'\n+ realm: 'the-realm'\n+ client_id: 'SOME_ID'\n+ client_secret: '01234-56789'\n+ token_provision: header\n+ ...\n+ ...\n+ \"\"\"\n \n GRANT_TYPE = \"password\"\n TOKEN_URL_TEMPLATE = \"{auth_base_uri}/realms/{realm}/protocol/openid-connect/token\"\n+ REQUIRED_PARAMS = [\"auth_base_uri\", \"client_id\", \"client_secret\", \"token_provision\"]\n+ # already retrieved token store, to be used if authenticate() fails (OTP use-case)\n+ retrieved_token = None\n \n def __init__(self, provider, config):\n super(KeycloakOIDCPasswordAuth, self).__init__(provider, config)\n self.session = requests.Session()\n \n+ def validate_config_credentials(self):\n+ \"\"\"Validate configured credentials\"\"\"\n+ super(KeycloakOIDCPasswordAuth, self).validate_config_credentials()\n+\n+ for param in self.REQUIRED_PARAMS:\n+ if not hasattr(self.config, param):\n+ raise MisconfiguredError(\n+ \"The following authentication configuration is missing for provider \",\n+ f\"{self.provider}: {param}\",\n+ )\n+\n def authenticate(self):\n \"\"\"\n Makes authentication request\n \"\"\"\n self.validate_config_credentials()\n+ req_data = {\n+ \"client_id\": self.config.client_id,\n+ \"client_secret\": self.config.client_secret,\n+ \"grant_type\": self.GRANT_TYPE,\n+ }\n+ credentials = {k: v for k, v in self.config.credentials.items()}\n try:\n response = self.session.post(\n self.TOKEN_URL_TEMPLATE.format(\n auth_base_uri=self.config.auth_base_uri.rstrip(\"/\"),\n realm=self.config.realm,\n ),\n- data={\n- \"client_id\": self.config.client_id,\n- \"client_secret\": self.config.client_secret,\n- \"username\": self.config.credentials[\"username\"],\n- \"password\": self.config.credentials[\"password\"],\n- \"grant_type\": self.GRANT_TYPE,\n- },\n+ data=dict(req_data, **credentials),\n headers=USER_AGENT,\n timeout=HTTP_REQ_TIMEOUT,\n )\n response.raise_for_status()\n except requests.RequestException as e:\n+ if self.retrieved_token:\n+ # try using already retrieved token if authenticate() fails (OTP use-case)\n+ return CodeAuthorizedAuth(\n+ self.retrieved_token,\n+ self.config.token_provision,\n+ key=getattr(self.config, \"token_qs_key\", None),\n+ )\n # check if error is identified as auth_error in provider conf\n auth_errors = getattr(self.config, \"auth_error_code\", [None])\n if not isinstance(auth_errors, list):\n@@ -79,8 +137,10 @@ class KeycloakOIDCPasswordAuth(Authentication):\n tb.format_exc()\n )\n )\n+\n+ self.retrieved_token = response.json()[\"access_token\"]\n return CodeAuthorizedAuth(\n- response.json()[\"access_token\"],\n+ self.retrieved_token,\n self.config.token_provision,\n key=getattr(self.config, \"token_qs_key\", None),\n )\ndiff --git a/eodag/plugins/authentication/openid_connect.py b/eodag/plugins/authentication/openid_connect.py\nindex 5531a1fd..b535ad66 100644\n--- a/eodag/plugins/authentication/openid_connect.py\n+++ b/eodag/plugins/authentication/openid_connect.py\n@@ -25,14 +25,7 @@ from lxml import etree\n from requests.auth import AuthBase\n \n from eodag.plugins.authentication import Authentication\n-from eodag.utils import (\n- USER_AGENT,\n- parse_qs,\n- repeatfunc,\n- urlencode,\n- urlparse,\n- urlunparse,\n-)\n+from eodag.utils import USER_AGENT, parse_qs, repeatfunc, urlparse\n from eodag.utils.exceptions import AuthenticationError, MisconfiguredError\n from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n \n@@ -306,18 +299,12 @@ class CodeAuthorizedAuth(AuthBase):\n \"\"\"Perform the actual authentication\"\"\"\n if self.where == \"qs\":\n parts = urlparse(request.url)\n- qs = parse_qs(parts.query)\n- qs[self.key] = self.token\n- request.url = urlunparse(\n- (\n- parts.scheme,\n- parts.netloc,\n- parts.path,\n- parts.params,\n- urlencode(qs),\n- parts.fragment,\n- )\n- )\n+ query_dict = parse_qs(parts.query)\n+ query_dict.update({self.key: self.token})\n+ url_without_args = parts._replace(query=None).geturl()\n+\n+ request.prepare_url(url_without_args, query_dict)\n+\n elif self.where == \"header\":\n request.headers[\"Authorization\"] = \"Bearer {}\".format(self.token)\n return request\ndiff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex 3e440a02..4f53085f 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -169,16 +169,15 @@ class AwsDownload(Download):\n \n :param provider: provider name\n :type provider: str\n- :param config: Download plugin configuration\n- config.requester_pays:\n-\n :param config: Download plugin configuration:\n \n- * ``config.base_uri`` (str) - s3 endpoint url\n- * ``config.requester_pays`` (bool) - whether download is done from\n- a requester-pays bucket or not\n- * ``config.flatten_top_dirs`` (bool) - flatten directory structure\n- * ``config.products`` (dict) - product_type specific configuration\n+ * ``config.base_uri`` (str) - s3 endpoint url\n+ * ``config.requester_pays`` (bool) - (optional) whether download is done from a\n+ requester-pays bucket or not\n+ * ``config.flatten_top_dirs`` (bool) - (optional) flatten directory structure\n+ * ``config.products`` (dict) - (optional) product_type specific configuration\n+ * ``config.ignore_assets`` (bool) - (optional) ignore assets and download using downloadLink\n+\n :type config: :class:`~eodag.config.PluginConfig`\n \"\"\"\n \ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 4a5a20ab..716e2176 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -61,7 +61,30 @@ logger = logging.getLogger(\"eodag.plugins.download.http\")\n \n \n class HTTPDownload(Download):\n- \"\"\"HTTPDownload plugin. Handles product download over HTTP protocol\"\"\"\n+ \"\"\"HTTPDownload plugin. Handles product download over HTTP protocol\n+\n+ :param provider: provider name\n+ :type provider: str\n+ :param config: Download plugin configuration:\n+\n+ * ``config.base_uri`` (str) - default endpoint url\n+ * ``config.extract`` (bool) - (optional) extract downloaded archive or not\n+ * ``config.auth_error_code`` (int) - (optional) authentication error code\n+ * ``config.dl_url_params`` (dict) - (optional) attitional parameters to send in the request\n+ * ``config.archive_depth`` (int) - (optional) level in extracted path tree where to find data\n+ * ``config.flatten_top_dirs`` (bool) - (optional) flatten directory structure\n+ * ``config.ignore_assets`` (bool) - (optional) ignore assets and download using downloadLink\n+ * ``config.order_enabled`` (bool) - (optional) wether order is enabled or not if product is `OFFLINE`\n+ * ``config.order_method`` (str) - (optional) HTTP request method, GET (default) or POST\n+ * ``config.order_headers`` (dict) - (optional) order request headers\n+ * ``config.order_on_response`` (dict) - (optional) edit or add new product properties\n+ * ``config.order_status_method`` (str) - (optional) status HTTP request method, GET (default) or POST\n+ * ``config.order_status_percent`` (str) - (optional) progress percentage key in obtained status response\n+ * ``config.order_status_error`` (dict) - (optional) key/value identifying an error status\n+\n+ :type config: :class:`~eodag.config.PluginConfig`\n+\n+ \"\"\"\n \n def __init__(self, provider, config):\n super(HTTPDownload, self).__init__(provider, config)\n@@ -341,19 +364,22 @@ class HTTPDownload(Download):\n return fs_path\n \n # download assets if exist instead of remote_location\n- try:\n- fs_path = self._download_assets(\n- product,\n- fs_path.replace(\".zip\", \"\"),\n- record_filename,\n- auth,\n- progress_callback,\n- **kwargs,\n- )\n- product.location = path_to_uri(fs_path)\n- return fs_path\n- except NotAvailableError:\n- pass\n+ if hasattr(product, \"assets\") and not getattr(\n+ self.config, \"ignore_assets\", False\n+ ):\n+ try:\n+ fs_path = self._download_assets(\n+ product,\n+ fs_path.replace(\".zip\", \"\"),\n+ record_filename,\n+ auth,\n+ progress_callback,\n+ **kwargs,\n+ )\n+ product.location = path_to_uri(fs_path)\n+ return fs_path\n+ except NotAvailableError:\n+ pass\n \n # order product if it is offline\n ordered_message = \"\"\ndiff --git a/eodag/plugins/download/s3rest.py b/eodag/plugins/download/s3rest.py\nindex cdbe470c..2602df4c 100644\n--- a/eodag/plugins/download/s3rest.py\n+++ b/eodag/plugins/download/s3rest.py\n@@ -59,6 +59,25 @@ class S3RestDownload(Download):\n https://mundiwebservices.com/keystoneapi/uploads/documents/CWS-DATA-MUT-087-EN-Mundi_Download_v1.1.pdf#page=13\n \n Re-use AwsDownload bucket some handling methods\n+\n+ :param provider: provider name\n+ :type provider: str\n+ :param config: Download plugin configuration:\n+\n+ * ``config.base_uri`` (str) - default endpoint url\n+ * ``config.extract`` (bool) - (optional) extract downloaded archive or not\n+ * ``config.auth_error_code`` (int) - (optional) authentication error code\n+ * ``config.bucket_path_level`` (int) - (optional) bucket location index in path.split('/')\n+ * ``config.order_enabled`` (bool) - (optional) wether order is enabled or not if product is `OFFLINE`\n+ * ``config.order_method`` (str) - (optional) HTTP request method, GET (default) or POST\n+ * ``config.order_headers`` (dict) - (optional) order request headers\n+ * ``config.order_on_response`` (dict) - (optional) edit or add new product properties\n+ * ``config.order_status_method`` (str) - (optional) status HTTP request method, GET (default) or POST\n+ * ``config.order_status_percent`` (str) - (optional) progress percentage key in obtained status response\n+ * ``config.order_status_success`` (dict) - (optional) key/value identifying an error success\n+ * ``config.order_status_on_success`` (dict) - (optional) edit or add new product properties\n+\n+ :type config: :class:`~eodag.config.PluginConfig`\n \"\"\"\n \n def __init__(self, provider, config):\ndiff --git a/eodag/resources/ext_product_types.json b/eodag/resources/ext_product_types.json\nindex a5a900b7..7c26d424 100644\n--- a/eodag/resources/ext_product_types.json\n+++ b/eodag/resources/ext_product_types.json\n@@ -1,1 +1,1 @@\n-{\"astraea_eod\": {\"providers_config\": {\"landsat8_c2l1t1\": {\"productType\": \"landsat8_c2l1t1\"}, \"mcd43a4\": {\"productType\": \"mcd43a4\"}, \"mod11a1\": {\"productType\": \"mod11a1\"}, \"mod13a1\": {\"productType\": \"mod13a1\"}, \"myd11a1\": {\"productType\": \"myd11a1\"}, \"myd13a1\": {\"productType\": \"myd13a1\"}, \"maxar_open_data\": {\"productType\": \"maxar_open_data\"}, \"naip\": {\"productType\": \"naip\"}, \"sentinel1_l1c_grd\": {\"productType\": \"sentinel1_l1c_grd\"}, \"sentinel2_l1c\": {\"productType\": \"sentinel2_l1c\"}, \"sentinel2_l2a\": {\"productType\": \"sentinel2_l2a\"}, \"spacenet7\": {\"productType\": \"spacenet7\"}, \"umbra_open_data\": {\"productType\": \"umbra_open_data\"}}, \"product_types_config\": {\"landsat8_c2l1t1\": {\"abstract\": \"Landsat 8 Collection 2 Tier 1 Precision Terrain from Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) data\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"landsat8-c2l1t1\", \"license\": \"PDDL-1.0\", \"title\": \"Landsat 8 - Level 1\", \"missionStartDate\": \"2013-03-18T15:59:02.333Z\"}, \"mcd43a4\": {\"abstract\": \"MCD43A4: MODIS/Terra and Aqua Nadir BRDF-Adjusted Reflectance Daily L3 Global 500 m SIN Grid V006\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"mcd43a4\", \"license\": \"CC-PDDC\", \"title\": \"MCD43A4 NBAR\", \"missionStartDate\": \"2000-02-16T00:00:00.000Z\"}, \"mod11a1\": {\"abstract\": \"MOD11A1: MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid V006\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"mod11a1\", \"license\": \"CC-PDDC\", \"title\": \"MOD11A1 LST\", \"missionStartDate\": \"2000-02-24T00:00:00.000Z\"}, \"mod13a1\": {\"abstract\": \"MOD13A1: MODIS/Terra Vegetation Indices 16-Day L3 Global 500 m SIN Grid V006\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"mod13a1\", \"license\": \"CC-PDDC\", \"title\": \"MOD13A1 VI\", \"missionStartDate\": \"2000-02-18T00:00:00.000Z\"}, \"myd11a1\": {\"abstract\": \"MYD11A1: MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid V006\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"myd11a1\", \"license\": \"CC-PDDC\", \"title\": \"MYD11A1 LST\", \"missionStartDate\": \"2002-07-04T00:00:00.000Z\"}, \"myd13a1\": {\"abstract\": \"MYD13A1: MODIS/Aqua Vegetation Indices 16-Day L3 Global 500 m SIN Grid V006\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"myd13a1\", \"license\": \"CC-PDDC\", \"title\": \"MYD13A1 VI\", \"missionStartDate\": \"2002-07-04T00:00:00.000Z\"}, \"maxar_open_data\": {\"abstract\": \"Maxar Open Data\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"maxar-open-data\", \"license\": \"CC-BY-NC-4.0\", \"title\": \"Maxar Open Data\", \"missionStartDate\": \"2008-01-15T00:00:00.000Z\"}, \"naip\": {\"abstract\": \"National Agriculture Imagery Program aerial imagery\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"naip\", \"license\": \"CC-PDDC\", \"title\": \"NAIP\", \"missionStartDate\": \"2012-04-23T12:00:00.000Z\"}, \"sentinel1_l1c_grd\": {\"abstract\": \"Sentinel-1 Level-1 Ground Range Detected data\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"sentinel1-l1c-grd\", \"license\": \"CC-BY-SA-3.0\", \"title\": \"Sentinel-1 L1C GRD\", \"missionStartDate\": \"2017-09-27T14:19:16.000\"}, \"sentinel2_l1c\": {\"abstract\": \"Sentinel-2 Level-1C top of atmosphere\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"sentinel2-l1c\", \"license\": \"CC-BY-SA-3.0\", \"title\": \"Sentinel-2 L1C\", \"missionStartDate\": \"2015-06-27T10:25:31.456Z\"}, \"sentinel2_l2a\": {\"abstract\": \"Sentinel-2 Level-2A atmospherically corrected data\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"sentinel2-l2a\", \"license\": \"CC-BY-SA-3.0\", \"title\": \"Sentinel-2 L2A\", \"missionStartDate\": \"2018-04-01T07:02:22.463Z\"}, \"spacenet7\": {\"abstract\": \"SpaceNet 7 Imagery and Labels\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"spacenet7\", \"license\": \"CC-BY-SA-4.0\", \"title\": \"SpaceNet 7\", \"missionStartDate\": \"2018-01-01T00:00:00.000Z\"}, \"umbra_open_data\": {\"abstract\": \"Umbra Open Data\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"umbra-open-data\", \"license\": \"proprietary\", \"title\": \"Umbra Open Data\", \"missionStartDate\": null}}}, \"creodias\": {\"providers_config\": {\"SENTINEL-3\": {\"collection\": \"SENTINEL-3\"}, \"LANDSAT-5\": {\"collection\": \"LANDSAT-5\"}, \"SENTINEL-1\": {\"collection\": \"SENTINEL-1\"}, \"SENTINEL-2\": {\"collection\": \"SENTINEL-2\"}, \"COP-DEM\": {\"collection\": \"COP-DEM\"}, \"ENVISAT\": {\"collection\": \"ENVISAT\"}, \"SENTINEL-5P\": {\"collection\": \"SENTINEL-5P\"}, \"TERRAAQUA\": {\"collection\": \"TERRAAQUA\"}, \"SENTINEL-1-RTC\": {\"collection\": \"SENTINEL-1-RTC\"}, \"SMOS\": {\"collection\": \"SMOS\"}, \"LANDSAT-8\": {\"collection\": \"LANDSAT-8\"}, \"S2GLC\": {\"collection\": \"S2GLC\"}, \"LANDSAT-7\": {\"collection\": \"LANDSAT-7\"}, \"SENTINEL-6\": {\"collection\": \"SENTINEL-6\"}}, \"product_types_config\": {\"SENTINEL-3\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"sentinel-3\", \"license\": null, \"title\": \"SENTINEL-3\", \"missionStartDate\": null}, \"LANDSAT-5\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"landsat-5\", \"license\": null, \"title\": \"LANDSAT-5\", \"missionStartDate\": null}, \"SENTINEL-1\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"sentinel-1\", \"license\": null, \"title\": \"SENTINEL-1\", \"missionStartDate\": null}, \"SENTINEL-2\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"sentinel-2\", \"license\": null, \"title\": \"SENTINEL-2\", \"missionStartDate\": null}, \"COP-DEM\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cop-dem\", \"license\": null, \"title\": \"COP-DEM\", \"missionStartDate\": null}, \"ENVISAT\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"envisat\", \"license\": null, \"title\": \"ENVISAT\", \"missionStartDate\": null}, \"SENTINEL-5P\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"sentinel-5p\", \"license\": null, \"title\": \"SENTINEL-5P\", \"missionStartDate\": null}, \"TERRAAQUA\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"terraaqua\", \"license\": null, \"title\": \"TERRAAQUA\", \"missionStartDate\": null}, \"SENTINEL-1-RTC\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"sentinel-1-rtc\", \"license\": null, \"title\": \"SENTINEL-1-RTC\", \"missionStartDate\": null}, \"SMOS\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"smos\", \"license\": null, \"title\": \"SMOS\", \"missionStartDate\": null}, \"LANDSAT-8\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"landsat-8\", \"license\": null, \"title\": \"LANDSAT-8\", \"missionStartDate\": null}, \"S2GLC\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"s2glc\", \"license\": null, \"title\": \"S2GLC\", \"missionStartDate\": null}, \"LANDSAT-7\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"landsat-7\", \"license\": null, \"title\": \"LANDSAT-7\", \"missionStartDate\": null}, \"SENTINEL-6\": {\"abstract\": null, \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"sentinel-6\", \"license\": null, \"title\": \"SENTINEL-6\", \"missionStartDate\": null}}}, \"earth_search\": {\"providers_config\": {\"sentinel-s2-l2a\": {\"productType\": \"sentinel-s2-l2a\"}, \"sentinel-s2-l1c\": {\"productType\": \"sentinel-s2-l1c\"}, \"landsat-8-l1-c1\": {\"productType\": \"landsat-8-l1-c1\"}}, \"product_types_config\": 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Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1852](https://doi.org/10.3334/ORNLDAAC/1852) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#annual). \\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-annual-pr,precipitation,puerto-rico,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Annual Puerto Rico\", \"missionStartDate\": \"1980-07-01T12:00:00Z\"}, \"daymet-daily-hi\": {\"abstract\": \"Gridded estimates of daily weather parameters. [Daymet](https://daymet.ornl.gov) Version 4 variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1840](https://doi.org/10.3334/ORNLDAAC/1840) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#daily).\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"daymet,daymet-daily-hi,hawaii,precipitation,temperature,vapor-pressure,weather\", \"license\": \"proprietary\", \"title\": \"Daymet Daily Hawaii\", \"missionStartDate\": \"1980-01-01T12:00:00Z\"}, \"3dep-seamless\": {\"abstract\": \"U.S.-wide digital elevation data at horizontal resolutions ranging from one to sixty meters.\\n\\nThe [USGS 3D Elevation Program (3DEP) Datasets](https://www.usgs.gov/core-science-systems/ngp/3dep) from the [National Map](https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map) are the primary elevation data product produced and distributed by the USGS. The 3DEP program provides raster elevation data for the conterminous United States, Alaska, Hawaii, and the island territories, at a variety of spatial resolutions. The seamless DEM layers produced by the 3DEP program are updated frequently to integrate newly available, improved elevation source data. \\n\\nDEM layers are available nationally at grid spacings of 1 arc-second (approximately 30 meters) for the conterminous United States, and at approximately 1, 3, and 9 meters for parts of the United States. Most seamless DEM data for Alaska is available at a resolution of approximately 60 meters, where only lower resolution source data exist.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-seamless,dem,elevation,ned,usgs\", \"license\": \"PDDL-1.0\", \"title\": \"USGS 3DEP Seamless DEMs\", \"missionStartDate\": \"1925-01-01T00:00:00Z\"}, \"3dep-lidar-dsm\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It creates a Digital Surface Model (DSM) using [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to output a collection of Cloud Optimized GeoTIFFs, removing all points that have been classified as noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-dsm,cog,dsm,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Digital Surface Model\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"fia\": {\"abstract\": \"Status and trends on U.S. forest location, health, growth, mortality, and production, from the U.S. Forest Service's [Forest Inventory and Analysis](https://www.fia.fs.fed.us/) (FIA) program.\\n\\nThe Forest Inventory and Analysis (FIA) dataset is a nationwide survey of the forest assets of the United States. The FIA research program has been in existence since 1928. FIA's primary objective is to determine the extent, condition, volume, growth, and use of trees on the nation's forest land.\\n\\nDomain: continental U.S., 1928-2018\\n\\nResolution: plot-level (irregular polygon)\\n\\nThis dataset was curated and brought to Azure by [CarbonPlan](https://carbonplan.org/).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biomass,carbon,fia,forest,forest-service,species,usda\", \"license\": \"CC0-1.0\", \"title\": \"Forest Inventory and Analysis\", \"missionStartDate\": \"2020-06-01T00:00:00Z\"}, \"sentinel-1-rtc\": {\"abstract\": \"The [Sentinel-1](https://sentinel.esa.int/web/sentinel/missions/sentinel-1) mission is a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging. The Sentinel-1 Radiometrically Terrain Corrected (RTC) data in this collection is a radiometrically terrain corrected product derived from the [Ground Range Detected (GRD) Level-1](https://planetarycomputer.microsoft.com/dataset/sentinel-1-grd) products produced by the European Space Agency. The RTC processing is performed by [Catalyst](https://catalyst.earth/).\\n\\nRadiometric Terrain Correction accounts for terrain variations that affect both the position of a given point on the Earth's surface and the brightness of the radar return, as expressed in radar geometry. Without treatment, the hill-slope modulations of the radiometry threaten to overwhelm weaker thematic land cover-induced backscatter differences. Additionally, comparison of backscatter from multiple satellites, modes, or tracks loses meaning.\\n\\nA Planetary Computer account is required to retrieve SAS tokens to read the RTC data. See the [documentation](http://planetarycomputer.microsoft.com/docs/concepts/sas/#when-an-account-is-needed) for more information.\\n\\n### Methodology\\n\\nThe Sentinel-1 GRD product is converted to calibrated intensity using the conversion algorithm described in the ESA technical note ESA-EOPG-CSCOP-TN-0002, [Radiometric Calibration of S-1 Level-1 Products Generated by the S-1 IPF](https://ai4edatasetspublicassets.blob.core.windows.net/assets/pdfs/sentinel-1/S1-Radiometric-Calibration-V1.0.pdf). The flat earth calibration values for gamma correction (i.e. perpendicular to the radar line of sight) are extracted from the GRD metadata. The calibration coefficients are applied as a two-dimensional correction in range (by sample number) and azimuth (by time). All available polarizations are calibrated and written as separate layers of a single file. The calibrated SAR output is reprojected to nominal map orientation with north at the top and west to the left.\\n\\nThe data is then radiometrically terrain corrected using PlanetDEM as the elevation source. The correction algorithm is nominally based upon D. Small, [\\u201cFlattening Gamma: Radiometric Terrain Correction for SAR Imagery\\u201d](https://ai4edatasetspublicassets.blob.core.windows.net/assets/pdfs/sentinel-1/2011_Flattening_Gamma.pdf), IEEE Transactions on Geoscience and Remote Sensing, Vol 49, No 8., August 2011, pp 3081-3093. For each image scan line, the digital elevation model is interpolated to determine the elevation corresponding to the position associated with the known near slant range distance and arc length for each input pixel. The elevations at the four corners of each pixel are estimated using bilinear resampling. The four elevations are divided into two triangular facets and reprojected onto the plane perpendicular to the radar line of sight to provide an estimate of the area illuminated by the radar for each earth flattened pixel. The uncalibrated sum at each earth flattened pixel is normalized by dividing by the flat earth surface area. The adjustment for gamma intensity is given by dividing the normalized result by the cosine of the incident angle. Pixels which are not illuminated by the radar due to the viewing geometry are flagged as shadow.\\n\\nCalibrated data is then orthorectified to the appropriate UTM projection. The orthorectified output maintains the original sample sizes (in range and azimuth) and was not shifted to any specific grid.\\n\\nRTC data is processed only for the Interferometric Wide Swath (IW) mode, which is the main acquisition mode over land and satisfies the majority of service requirements.\\n\", \"instrument\": null, \"platform\": \"Sentinel-1\", \"platformSerialIdentifier\": \"SENTINEL-1A,SENTINEL-1B\", \"processingLevel\": null, \"keywords\": \"c-band,copernicus,esa,rtc,sar,sentinel,sentinel-1,sentinel-1-rtc,sentinel-1a,sentinel-1b\", \"license\": \"CC-BY-4.0\", \"title\": \"Sentinel 1 Radiometrically Terrain Corrected (RTC)\", \"missionStartDate\": \"2014-10-10T00:28:21Z\"}, \"gridmet\": {\"abstract\": \"gridMET is a dataset of daily surface meteorological data at approximately four-kilometer resolution, covering the contiguous U.S. from 1979 to the present. These data can provide important inputs for ecological, agricultural, and hydrological models.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,gridmet,precipitation,temperature,vapor-pressure,water\", \"license\": \"CC0-1.0\", \"title\": \"gridMET\", \"missionStartDate\": \"1979-01-01T00:00:00Z\"}, \"daymet-annual-na\": {\"abstract\": \"Annual climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1852](https://doi.org/10.3334/ORNLDAAC/1852) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#annual). \\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-annual-na,north-america,precipitation,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Annual North America\", \"missionStartDate\": \"1980-07-01T12:00:00Z\"}, \"daymet-monthly-na\": {\"abstract\": \"Monthly climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1855](https://doi.org/10.3334/ORNLDAAC/1855) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#monthly).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-monthly-na,north-america,precipitation,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Monthly North America\", \"missionStartDate\": \"1980-01-16T12:00:00Z\"}, \"daymet-annual-hi\": {\"abstract\": \"Annual climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1852](https://doi.org/10.3334/ORNLDAAC/1852) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#annual). \\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-annual-hi,hawaii,precipitation,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Annual Hawaii\", \"missionStartDate\": \"1980-07-01T12:00:00Z\"}, \"daymet-monthly-hi\": {\"abstract\": \"Monthly climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1855](https://doi.org/10.3334/ORNLDAAC/1855) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#monthly).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-monthly-hi,hawaii,precipitation,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Monthly Hawaii\", \"missionStartDate\": \"1980-01-16T12:00:00Z\"}, \"daymet-monthly-pr\": {\"abstract\": \"Monthly climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1855](https://doi.org/10.3334/ORNLDAAC/1855) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#monthly).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-monthly-pr,precipitation,puerto-rico,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Monthly Puerto Rico\", \"missionStartDate\": \"1980-01-16T12:00:00Z\"}, \"gnatsgo-tables\": {\"abstract\": \"This collection contains the table data for gNATSGO. This table data can be used to determine the values of raster data cells for Items in the [gNATSGO Rasters](https://planetarycomputer.microsoft.com/dataset/gnatsgo-rasters) Collection.\\n\\nThe gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS Soil & Plant Science Division (SPSD) composite database that provides complete coverage of the best available soils information for all areas of the United States and Island Territories. It was created by combining data from the Soil Survey Geographic Database (SSURGO), State Soil Geographic Database (STATSGO2), and Raster Soil Survey Databases (RSS) into a single seamless ESRI file geodatabase.\\n\\nSSURGO is the SPSD flagship soils database that has over 100 years of field-validated detailed soil mapping data. SSURGO contains soils information for more than 90 percent of the United States and island territories, but unmapped land remains. STATSGO2 is a general soil map that has soils data for all of the United States and island territories, but the data is not as detailed as the SSURGO data. The Raster Soil Surveys (RSSs) are the next generation soil survey databases developed using advanced digital soil mapping methods.\\n\\nThe gNATSGO database is composed primarily of SSURGO data, but STATSGO2 data was used to fill in the gaps. The RSSs are newer product with relatively limited spatial extent. These RSSs were merged into the gNATSGO after combining the SSURGO and STATSGO2 data. The extent of RSS is expected to increase in the coming years.\\n\\nSee the [official documentation](https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"gnatsgo-tables,natsgo,rss,soils,ssurgo,statsgo2,united-states,usda\", \"license\": \"CC0-1.0\", \"title\": \"gNATSGO Soil Database - Tables\", \"missionStartDate\": \"2020-07-01T00:00:00Z\"}, \"hgb\": {\"abstract\": \"This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at 300m resolution. The aboveground biomass map integrates land-cover-specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were amassed from the published literature and, where necessary, updated to cover the focal extent or time period. The belowground biomass map similarly integrates matching maps derived from each aboveground biomass map and land-cover-specific empirical models. Aboveground and belowground maps were then integrated separately using ancillary maps of percent tree/land cover and a rule-based decision tree. Maps reporting the accumulated uncertainty of pixel-level estimates are also provided.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biomass,carbon,hgb,ornl\", \"license\": \"proprietary\", \"title\": \"HGB: Harmonized Global Biomass for 2010\", \"missionStartDate\": \"2010-12-31T00:00:00Z\"}, \"cop-dem-glo-30\": {\"abstract\": \"The Copernicus DEM is a digital surface model (DSM), which represents the surface of the Earth including buildings, infrastructure, and vegetation. This DSM is based on radar satellite data acquired during the TanDEM-X Mission, which was funded by a public-private partnership between the German Aerospace Centre (DLR) and Airbus Defence and Space.\\n\\nCopernicus DEM is available at both 30-meter and 90-meter resolution; this dataset has a horizontal resolution of approximately 30 meters.\\n\\nSee the [Product Handbook](https://object.cloud.sdsc.edu/v1/AUTH_opentopography/www/metadata/Copernicus_metadata.pdf) for more information.\\n\\nSee the dataset page on OpenTopography: <https://doi.org/10.5069/G9028PQB>\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"tandem-x\", \"processingLevel\": null, \"keywords\": \"cop-dem-glo-30,copernicus,dem,dsm,elevation,tandem-x\", \"license\": \"proprietary\", \"title\": \"Copernicus DEM GLO-30\", \"missionStartDate\": \"2021-04-22T00:00:00Z\"}, \"cop-dem-glo-90\": {\"abstract\": \"The Copernicus DEM is a digital surface model (DSM), which represents the surface of the Earth including buildings, infrastructure, and vegetation. This DSM is based on radar satellite data acquired during the TanDEM-X Mission, which was funded by a public-private partnership between the German Aerospace Centre (DLR) and Airbus Defence and Space.\\n\\nCopernicus DEM is available at both 30-meter and 90-meter resolution; this dataset has a horizontal resolution of approximately 90 meters.\\n\\nSee the [Product Handbook](https://object.cloud.sdsc.edu/v1/AUTH_opentopography/www/metadata/Copernicus_metadata.pdf) for more information.\\n\\nSee the dataset page on OpenTopography: <https://doi.org/10.5069/G9028PQB>\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"tandem-x\", \"processingLevel\": null, \"keywords\": \"cop-dem-glo-90,copernicus,dem,elevation,tandem-x\", \"license\": \"proprietary\", \"title\": \"Copernicus DEM GLO-90\", \"missionStartDate\": \"2021-04-22T00:00:00Z\"}, \"goes-cmi\": {\"abstract\": \"The GOES-R Advanced Baseline Imager (ABI) L2 Cloud and Moisture Imagery product provides 16 reflective and emissive bands at high temporal cadence over the Western Hemisphere.\\n\\nThe GOES-R series is the latest in the Geostationary Operational Environmental Satellites (GOES) program, which has been operated in a collaborative effort by NOAA and NASA since 1975. The operational GOES-R Satellites, GOES-16, GOES-17, and GOES-18, capture 16-band imagery from geostationary orbits over the Western Hemisphere via the Advance Baseline Imager (ABI) radiometer. The ABI captures 2 visible, 4 near-infrared, and 10 infrared channels at resolutions between 0.5km and 2km.\\n\\n### Geographic coverage\\n\\nThe ABI captures three levels of coverage, each at a different temporal cadence depending on the modes described below. The geographic coverage for each image is described by the `goes:image-type` STAC Item property.\\n\\n- _FULL DISK_: a circular image depicting nearly full coverage of the Western Hemisphere.\\n- _CONUS_: a 3,000 (lat) by 5,000 (lon) km rectangular image depicting the Continental U.S. (GOES-16) or the Pacific Ocean including Hawaii (GOES-17).\\n- _MESOSCALE_: a 1,000 by 1,000 km rectangular image. GOES-16 and 17 both alternate between two different mesoscale geographic regions.\\n\\n### Modes\\n\\nThere are three standard scanning modes for the ABI instrument: Mode 3, Mode 4, and Mode 6.\\n\\n- Mode _3_ consists of one observation of the full disk scene of the Earth, three observations of the continental United States (CONUS), and thirty observations for each of two distinct mesoscale views every fifteen minutes.\\n- Mode _4_ consists of the observation of the full disk scene every five minutes.\\n- Mode _6_ consists of one observation of the full disk scene of the Earth, two observations of the continental United States (CONUS), and twenty observations for each of two distinct mesoscale views every ten minutes.\\n\\nThe mode that each image was captured with is described by the `goes:mode` STAC Item property.\\n\\nSee this [ABI Scan Mode Demonstration](https://youtu.be/_c5H6R-M0s8) video for an idea of how the ABI scans multiple geographic regions over time.\\n\\n### Cloud and Moisture Imagery\\n\\nThe Cloud and Moisture Imagery product contains one or more images with pixel values identifying \\\"brightness values\\\" that are scaled to support visual analysis. Cloud and Moisture Imagery product (CMIP) files are generated for each of the sixteen ABI reflective and emissive bands. In addition, there is a multi-band product file that includes the imagery at all bands (MCMIP).\\n\\nThe Planetary Computer STAC Collection `goes-cmi` captures both the CMIP and MCMIP product files into individual STAC Items for each observation from a GOES-R satellite. It contains the original CMIP and MCMIP NetCDF files, as well as cloud-optimized GeoTIFF (COG) exports of the data from each MCMIP band (2km); the full-resolution CMIP band for bands 1, 2, 3, and 5; and a Web Mercator COG of bands 1, 2 and 3, which are useful for rendering.\\n\\nThis product is not in a standard coordinate reference system (CRS), which can cause issues with some tooling that does not handle non-standard large geographic regions.\\n\\n### For more information\\n- [Beginner\\u2019s Guide to GOES-R Series Data](https://www.goes-r.gov/downloads/resources/documents/Beginners_Guide_to_GOES-R_Series_Data.pdf)\\n- [GOES-R Series Product Definition and Users\\u2019 Guide: Volume 5 (Level 2A+ Products)](https://www.goes-r.gov/products/docs/PUG-L2+-vol5.pdf) ([Spanish verison](https://github.com/NOAA-Big-Data-Program/bdp-data-docs/raw/main/GOES/QuickGuides/Spanish/Guia%20introductoria%20para%20datos%20de%20la%20serie%20GOES-R%20V1.1%20FINAL2%20-%20Copy.pdf))\\n\\n\", \"instrument\": \"ABI\", \"platform\": null, \"platformSerialIdentifier\": \"GOES-16,GOES-17,GOES-18\", \"processingLevel\": null, \"keywords\": \"abi,cloud,goes,goes-16,goes-17,goes-18,goes-cmi,moisture,nasa,noaa,satellite\", \"license\": \"proprietary\", \"title\": \"GOES-R Cloud & Moisture Imagery\", \"missionStartDate\": \"2017-02-28T00:16:52Z\"}, \"terraclimate\": {\"abstract\": \"[TerraClimate](http://www.climatologylab.org/terraclimate.html) is a dataset of monthly climate and climatic water balance for global terrestrial surfaces from 1958 to the present. These data provide important inputs for ecological and hydrological studies at global scales that require high spatial resolution and time-varying data. All data have monthly temporal resolution and a ~4-km (1/24th degree) spatial resolution. This dataset is provided in [Zarr](https://zarr.readthedocs.io/) format.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,precipitation,temperature,terraclimate,vapor-pressure,water\", \"license\": \"CC0-1.0\", \"title\": \"TerraClimate\", \"missionStartDate\": \"1958-01-01T00:00:00Z\"}, \"nasa-nex-gddp-cmip6\": {\"abstract\": \"The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four \\u201cTier 1\\u201d greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed through the Earth System Grid Federation. The purpose of this dataset is to provide a set of global, high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions.\\n\\nThe [NASA Center for Climate Simulation](https://www.nccs.nasa.gov/) maintains the [next-gddp-cmip6 product page](https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6) where you can find more information about these datasets. Users are encouraged to review the [technote](https://www.nccs.nasa.gov/sites/default/files/NEX-GDDP-CMIP6-Tech_Note.pdf), provided alongside the data set, where more detailed information, references and acknowledgements can be found.\\n\\nThis collection contains many NetCDF files. There is one NetCDF file per `(model, scenario, variable, year)` tuple.\\n\\n- **model** is the name of a modeling group (e.g. \\\"ACCESS-CM-2\\\"). See the `cmip6:model` summary in the STAC collection for a full list of models.\\n- **scenario** is one of \\\"historical\\\", \\\"ssp245\\\" or \\\"ssp585\\\".\\n- **variable** is one of \\\"hurs\\\", \\\"huss\\\", \\\"pr\\\", \\\"rlds\\\", \\\"rsds\\\", \\\"sfcWind\\\", \\\"tas\\\", \\\"tasmax\\\", \\\"tasmin\\\".\\n- **year** depends on the value of *scenario*. For \\\"historical\\\", the values range from 1950 to 2014 (inclusive). For \\\"ssp245\\\" and \\\"ssp585\\\", the years range from 2015 to 2100 (inclusive).\\n\\nIn addition to the NetCDF files, we provide some *experimental* **reference files** as collection-level dataset assets. These are JSON files implementing the [references specification](https://fsspec.github.io/kerchunk/spec.html).\\nThese files include the positions of data variables within the binary NetCDF files, which can speed up reading the metadata. See the example notebook for more.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,cmip6,humidity,nasa,nasa-nex-gddp-cmip6,precipitation,temperature\", \"license\": \"proprietary\", \"title\": \"Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)\", \"missionStartDate\": \"1950-01-01T00:00:00Z\"}, \"gpm-imerg-hhr\": {\"abstract\": \"The Integrated Multi-satellitE Retrievals for GPM (IMERG) algorithm combines information from the [GPM satellite constellation](https://gpm.nasa.gov/missions/gpm/constellation) to estimate precipitation over the majority of the Earth's surface. This algorithm is particularly valuable over the majority of the Earth's surface that lacks precipitation-measuring instruments on the ground. Now in the latest Version 06 release of IMERG the algorithm fuses the early precipitation estimates collected during the operation of the TRMM satellite (2000 - 2015) with more recent precipitation estimates collected during operation of the GPM satellite (2014 - present). The longer the record, the more valuable it is, as researchers and application developers will attest. By being able to compare and contrast past and present data, researchers are better informed to make climate and weather models more accurate, better understand normal and extreme rain and snowfall around the world, and strengthen applications for current and future disasters, disease, resource management, energy production and food security.\\n\\nFor more, see the [IMERG homepage](https://gpm.nasa.gov/data/imerg) The [IMERG Technical documentation](https://gpm.nasa.gov/sites/default/files/2020-10/IMERG_doc_201006.pdf) provides more information on the algorithm, input datasets, and output products.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"gpm,gpm-imerg-hhr,imerg,precipitation\", \"license\": \"proprietary\", \"title\": \"GPM IMERG\", \"missionStartDate\": \"2000-06-01T00:00:00Z\"}, \"gnatsgo-rasters\": {\"abstract\": \"This collection contains the raster data for gNATSGO. In order to use the map unit values contained in the `mukey` raster asset, you'll need to join to tables represented as Items in the [gNATSGO Tables](https://planetarycomputer.microsoft.com/dataset/gnatsgo-tables) Collection. Many items have commonly used values encoded in additional raster assets.\\n\\nThe gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS Soil & Plant Science Division (SPSD) composite database that provides complete coverage of the best available soils information for all areas of the United States and Island Territories. It was created by combining data from the Soil Survey Geographic Database (SSURGO), State Soil Geographic Database (STATSGO2), and Raster Soil Survey Databases (RSS) into a single seamless ESRI file geodatabase.\\n\\nSSURGO is the SPSD flagship soils database that has over 100 years of field-validated detailed soil mapping data. SSURGO contains soils information for more than 90 percent of the United States and island territories, but unmapped land remains. STATSGO2 is a general soil map that has soils data for all of the United States and island territories, but the data is not as detailed as the SSURGO data. The Raster Soil Surveys (RSSs) are the next generation soil survey databases developed using advanced digital soil mapping methods.\\n\\nThe gNATSGO database is composed primarily of SSURGO data, but STATSGO2 data was used to fill in the gaps. The RSSs are newer product with relatively limited spatial extent. These RSSs were merged into the gNATSGO after combining the SSURGO and STATSGO2 data. The extent of RSS is expected to increase in the coming years.\\n\\nSee the [official documentation](https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"gnatsgo-rasters,natsgo,rss,soils,ssurgo,statsgo2,united-states,usda\", \"license\": \"CC0-1.0\", \"title\": \"gNATSGO Soil Database - Rasters\", \"missionStartDate\": \"2020-07-01T00:00:00Z\"}, \"3dep-lidar-hag\": {\"abstract\": \"This COG type is generated using the Z dimension of the [COPC data](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc) data and removes noise, water, and using [`pdal.filters.smrf`](https://pdal.io/stages/filters.smrf.html#filters-smrf) followed by [pdal.filters.hag_nn](https://pdal.io/stages/filters.hag_nn.html#filters-hag-nn).\\n\\nThe Height Above Ground Nearest Neighbor filter takes as input a point cloud with Classification set to 2 for ground points. It creates a new dimension, HeightAboveGround, that contains the normalized height values.\\n\\nGround points may be generated with [`pdal.filters.pmf`](https://pdal.io/stages/filters.pmf.html#filters-pmf) or [`pdal.filters.smrf`](https://pdal.io/stages/filters.smrf.html#filters-smrf), but you can use any method you choose, as long as the ground returns are marked.\\n\\nNormalized heights are a commonly used attribute of point cloud data. This can also be referred to as height above ground (HAG) or above ground level (AGL) heights. In the end, it is simply a measure of a point's relative height as opposed to its raw elevation value.\\n\\nThe filter finds the number of ground points nearest to the non-ground point under consideration. It calculates an average ground height weighted by the distance of each ground point from the non-ground point. The HeightAboveGround is the difference between the Z value of the non-ground point and the interpolated ground height.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-hag,cog,elevation,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Height above Ground\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"3dep-lidar-intensity\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It is a collection of Cloud Optimized GeoTIFFs representing the pulse return magnitude.\\n\\nThe values are based on the Intensity [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.outlier`](https://pdal.io/stages/filters.outlier.html#filters-outlier) and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to remove outliers and noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-intensity,cog,intensity,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Intensity\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"3dep-lidar-pointsourceid\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It is a collection of Cloud Optimized GeoTIFFs representing the file source ID from which the point originated. Zero indicates that the point originated in the current file.\\n\\nThis values are based on the PointSourceId [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.outlier`](https://pdal.io/stages/filters.outlier.html#filters-outlier) and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to remove outliers and noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-pointsourceid,cog,pointsourceid,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Point Source\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"mtbs\": {\"abstract\": \"[Monitoring Trends in Burn Severity](https://www.mtbs.gov/) (MTBS) is an inter-agency program whose goal is to consistently map the burn severity and extent of large fires across the United States from 1984 to the present. This includes all fires 1000 acres or greater in the Western United States and 500 acres or greater in the Eastern United States. The burn severity mosaics in this dataset consist of thematic raster images of MTBS burn severity classes for all currently completed MTBS fires for the continental United States and Alaska.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"fire,forest,mtbs,usda,usfs,usgs\", \"license\": \"proprietary\", \"title\": \"MTBS: Monitoring Trends in Burn Severity\", \"missionStartDate\": \"1984-12-31T00:00:00Z\"}, \"noaa-c-cap\": {\"abstract\": \"Nationally standardized, raster-based inventories of land cover for the coastal areas of the U.S. Data are derived, through the Coastal Change Analysis Program, from the analysis of multiple dates of remotely sensed imagery. Two file types are available: individual dates that supply a wall-to-wall map, and change files that compare one date to another. The use of standardized data and procedures assures consistency through time and across geographies. C-CAP data forms the coastal expression of the National Land Cover Database (NLCD) and the A-16 land cover theme of the National Spatial Data Infrastructure. The data are updated every 5 years.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"coastal,land-cover,land-use,noaa,noaa-c-cap\", \"license\": \"proprietary\", \"title\": \"C-CAP Regional Land Cover and Change\", \"missionStartDate\": \"1975-01-01T00:00:00Z\"}, \"3dep-lidar-copc\": {\"abstract\": \"This collection contains source data from the [USGS 3DEP program](https://www.usgs.gov/3d-elevation-program) reformatted into the [COPC](https://copc.io) format. A COPC file is a LAZ 1.4 file that stores point data organized in a clustered octree. It contains a VLR that describes the octree organization of data that are stored in LAZ 1.4 chunks. The end product is a one-to-one mapping of LAZ to UTM-reprojected COPC files.\\n\\nLAZ data is geospatial [LiDAR point cloud](https://en.wikipedia.org/wiki/Point_cloud) (LPC) content stored in the compressed [LASzip](https://laszip.org?) format. Data were reorganized and stored in LAZ-compatible [COPC](https://copc.io) organization for use in Planetary Computer, which supports incremental spatial access and cloud streaming.\\n\\nLPC can be summarized for construction of digital terrain models (DTM), filtered for extraction of features like vegetation and buildings, and visualized to provide a point cloud map of the physical spaces the laser scanner interacted with. LPC content from 3DEP is used to compute and extract a variety of landscape characterization products, and some of them are provided by Planetary Computer, including Height Above Ground, Relative Intensity Image, and DTM and Digital Surface Models.\\n\\nThe LAZ tiles represent a one-to-one mapping of original tiled content as provided by the [USGS 3DEP program](https://www.usgs.gov/3d-elevation-program), with the exception that the data were reprojected and normalized into appropriate UTM zones for their location without adjustment to the vertical datum. In some cases, vertical datum description may not match actual data values, especially for pre-2010 USGS 3DEP point cloud data.\\n\\nIn addition to these COPC files, various higher-level derived products are available as Cloud Optimized GeoTIFFs in [other collections](https://planetarycomputer.microsoft.com/dataset/group/3dep-lidar).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-copc,cog,point-cloud,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Point Cloud\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"modis-64A1-061\": {\"abstract\": \"The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500 meter (m) product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance imagery coupled with 1 kilometer (km) MODIS active fire observations. The algorithm uses a burn sensitive Vegetation Index (VI) to create dynamic thresholds that are applied to the composite data. The VI is derived from MODIS shortwave infrared atmospherically corrected surface reflectance bands 5 and 7 with a measure of temporal texture. The algorithm identifies the date of burn for the 500 m grid cells within each individual MODIS tile. The date is encoded in a single data layer as the ordinal day of the calendar year on which the burn occurred with values assigned to unburned land pixels and additional special values reserved for missing data and water grid cells. The data layers provided in the MCD64A1 product include Burn Date, Burn Data Uncertainty, Quality Assurance, along with First Day and Last Day of reliable change detection of the year.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,fire,global,imagery,mcd64a1,modis,modis-64a1-061,nasa,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Burned Area Monthly\", \"missionStartDate\": \"2000-11-01T00:00:00Z\"}, \"alos-fnf-mosaic\": {\"abstract\": \"The global 25m resolution SAR mosaics and forest/non-forest maps are free and open annual datasets generated by [JAXA](https://www.eorc.jaxa.jp/ALOS/en/dataset/fnf_e.htm) using the L-band Synthetic Aperture Radar sensors on the Advanced Land Observing Satellite-2 (ALOS-2 PALSAR-2), the Advanced Land Observing Satellite (ALOS PALSAR) and the Japanese Earth Resources Satellite-1 (JERS-1 SAR).\\n\\nThe global forest/non-forest maps (FNF) were generated by a Random Forest machine learning-based classification method, with the re-processed global 25m resolution [PALSAR-2 mosaic dataset](https://planetarycomputer.microsoft.com/dataset/alos-palsar-mosaic) (Ver. 2.0.0) as input. Here, the \\\"forest\\\" is defined as the tree covered land with an area larger than 0.5 ha and a canopy cover of over 10 %, in accordance with the FAO definition of forest. The classification results are presented in four categories, with two categories of forest areas: forests with a canopy cover of 90 % or more and forests with a canopy cover of 10 % to 90 %, depending on the density of the forest area.\\n\\nSee the [Product Description](https://www.eorc.jaxa.jp/ALOS/en/dataset/pdf/DatasetDescription_PALSAR2_FNF_V200.pdf) for more details.\\n\", \"instrument\": \"PALSAR,PALSAR-2\", \"platform\": null, \"platformSerialIdentifier\": \"ALOS,ALOS-2\", \"processingLevel\": null, \"keywords\": \"alos,alos-2,alos-fnf-mosaic,forest,global,jaxa,land-cover,palsar,palsar-2\", \"license\": \"proprietary\", \"title\": \"ALOS Forest/Non-Forest Annual Mosaic\", \"missionStartDate\": \"2015-01-01T00:00:00Z\"}, \"3dep-lidar-returns\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It is a collection of Cloud Optimized GeoTIFFs representing the number of returns for a given pulse.\\n\\nThis values are based on the PointSourceId [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.outlier`](https://pdal.io/stages/filters.outlier.html#filters-outlier) and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to remove outliers and noise.\\n\\nThe values are based on the NumberOfReturns [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.outlier`](https://pdal.io/stages/filters.outlier.html#filters-outlier) and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to remove outliers and noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-returns,cog,numberofreturns,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Returns\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"mobi\": {\"abstract\": \"The [Map of Biodiversity Importance](https://www.natureserve.org/conservation-tools/projects/map-biodiversity-importance) (MoBI) consists of raster maps that combine habitat information for 2,216 imperiled species occurring in the conterminous United States, using weightings based on range size and degree of protection to identify areas of high importance for biodiversity conservation. Species included in the project are those which, as of September 2018, had a global conservation status of G1 (critical imperiled) or G2 (imperiled) or which are listed as threatened or endangered at the full species level under the United States Endangered Species Act. Taxonomic groups included in the project are vertebrates (birds, mammals, amphibians, reptiles, turtles, crocodilians, and freshwater and anadromous fishes), vascular plants, selected aquatic invertebrates (freshwater mussels and crayfish) and selected pollinators (bumblebees, butterflies, and skippers).\\n\\nThere are three types of spatial data provided, described in more detail below: species richness, range-size rarity, and protection-weighted range-size rarity. For each type, this data set includes five different layers – one for all species combined, and four additional layers that break the data down by taxonomic group (vertebrates, plants, freshwater invertebrates, and pollinators) – for a total of fifteen layers.\\n\\nThese data layers are intended to identify areas of high potential value for on-the-ground biodiversity protection efforts. As a synthesis of predictive models, they cannot guarantee either the presence or absence of imperiled species at a given location. For site-specific decision-making, these data should be used in conjunction with field surveys and/or documented occurrence data, such as is available from the [NatureServe Network](https://www.natureserve.org/natureserve-network).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biodiversity,mobi,natureserve,united-states\", \"license\": \"proprietary\", \"title\": \"MoBI: Map of Biodiversity Importance\", \"missionStartDate\": \"2020-04-14T00:00:00Z\"}, \"landsat-c2-l2\": {\"abstract\": \"Landsat Collection 2 Level-2 [Science Products](https://www.usgs.gov/landsat-missions/landsat-collection-2-level-2-science-products), consisting of atmospherically corrected [surface reflectance](https://www.usgs.gov/landsat-missions/landsat-collection-2-surface-reflectance) and [surface temperature](https://www.usgs.gov/landsat-missions/landsat-collection-2-surface-temperature) image data. Collection 2 Level-2 Science Products are available from August 22, 1982 to present.\\n\\nThis dataset represents the global archive of Level-2 data from [Landsat Collection 2](https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collection-2) acquired by the [Thematic Mapper](https://landsat.gsfc.nasa.gov/thematic-mapper/) onboard Landsat 4 and 5, the [Enhanced Thematic Mapper](https://landsat.gsfc.nasa.gov/the-enhanced-thematic-mapper-plus-etm/) onboard Landsat 7, and the [Operatational Land Imager](https://landsat.gsfc.nasa.gov/satellites/landsat-8/spacecraft-instruments/operational-land-imager/) and [Thermal Infrared Sensor](https://landsat.gsfc.nasa.gov/satellites/landsat-8/spacecraft-instruments/thermal-infrared-sensor/) onboard Landsat 8 and 9. Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\", \"instrument\": \"tm,etm+,oli,tirs\", \"platform\": null, \"platformSerialIdentifier\": \"landsat-4,landsat-5,landsat-7,landsat-8,landsat-9\", \"processingLevel\": null, \"keywords\": \"etm+,global,imagery,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2-l2,nasa,oli,reflectance,satellite,temperature,tirs,tm,usgs\", \"license\": \"proprietary\", \"title\": \"Landsat Collection 2 Level-2\", \"missionStartDate\": \"1982-08-22T00:00:00Z\"}, \"era5-pds\": {\"abstract\": \"ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate\\ncovering the period from January 1950 to present. ERA5 is produced by the\\nCopernicus Climate Change Service (C3S) at ECMWF.\\n\\nReanalysis combines model data with observations from across the world into a\\nglobally complete and consistent dataset using the laws of physics. This\\nprinciple, called data assimilation, is based on the method used by numerical\\nweather prediction centres, where every so many hours (12 hours at ECMWF) a\\nprevious forecast is combined with newly available observations in an optimal\\nway to produce a new best estimate of the state of the atmosphere, called\\nanalysis, from which an updated, improved forecast is issued. Reanalysis works\\nin the same way, but at reduced resolution to allow for the provision of a\\ndataset spanning back several decades. Reanalysis does not have the constraint\\nof issuing timely forecasts, so there is more time to collect observations, and\\nwhen going further back in time, to allow for the ingestion of improved versions\\nof the original observations, which all benefit the quality of the reanalysis\\nproduct.\\n\\nThis dataset was converted to Zarr by [Planet OS](https://planetos.com/).\\nSee [their documentation](https://github.com/planet-os/notebooks/blob/master/aws/era5-pds.md)\\nfor more.\\n\\n## STAC Metadata\\n\\nTwo types of data variables are provided: \\\"forecast\\\" (`fc`) and \\\"analysis\\\" (`an`).\\n\\n* An **analysis**, of the atmospheric conditions, is a blend of observations\\n with a previous forecast. An analysis can only provide\\n [instantaneous](https://confluence.ecmwf.int/display/CKB/Model+grid+box+and+time+step)\\n parameters (parameters valid at a specific time, e.g temperature at 12:00),\\n but not accumulated parameters, mean rates or min/max parameters.\\n* A **forecast** starts with an analysis at a specific time (the 'initialization\\n time'), and a model computes the atmospheric conditions for a number of\\n 'forecast steps', at increasing 'validity times', into the future. A forecast\\n can provide\\n [instantaneous](https://confluence.ecmwf.int/display/CKB/Model+grid+box+and+time+step)\\n parameters, accumulated parameters, mean rates, and min/max parameters.\\n\\nEach [STAC](https://stacspec.org/) item in this collection covers a single month\\nand the entire globe. There are two STAC items per month, one for each type of data\\nvariable (`fc` and `an`). The STAC items include an `ecmwf:kind` properties to\\nindicate which kind of variables that STAC item catalogs.\\n\\n## How to acknowledge, cite and refer to ERA5\\n\\nAll users of data on the Climate Data Store (CDS) disks (using either the web interface or the CDS API) must provide clear and visible attribution to the Copernicus programme and are asked to cite and reference the dataset provider:\\n\\nAcknowledge according to the [licence to use Copernicus Products](https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf).\\n\\nCite each dataset used as indicated on the relevant CDS entries (see link to \\\"Citation\\\" under References on the Overview page of the dataset entry).\\n\\nThroughout the content of your publication, the dataset used is referred to as Author (YYYY).\\n\\nThe 3-steps procedure above is illustrated with this example: [Use Case 2: ERA5 hourly data on single levels from 1979 to present](https://confluence.ecmwf.int/display/CKB/Use+Case+2%3A+ERA5+hourly+data+on+single+levels+from+1979+to+present).\\n\\nFor complete details, please refer to [How to acknowledge and cite a Climate Data Store (CDS) catalogue entry and the data published as part of it](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"ecmwf,era5,era5-pds,precipitation,reanalysis,temperature,weather\", \"license\": \"proprietary\", \"title\": \"ERA5 - PDS\", \"missionStartDate\": \"1979-01-01T00:00:00Z\"}, \"chloris-biomass\": {\"abstract\": \"The Chloris Global Biomass 2003 - 2019 dataset provides estimates of stock and change in aboveground biomass for Earth's terrestrial woody vegetation ecosystems. It covers the period 2003 - 2019, at annual time steps. The global dataset has a circa 4.6 km spatial resolution.\\n\\nThe maps and data sets were generated by combining multiple remote sensing measurements from space borne satellites, processed using state-of-the-art machine learning and statistical methods, validated with field data from multiple countries. The dataset provides direct estimates of aboveground stock and change, and are not based on land use or land cover area change, and as such they include gains and losses of carbon stock in all types of woody vegetation - whether natural or plantations.\\n\\nAnnual stocks are expressed in units of tons of biomass. Annual changes in stocks are expressed in units of CO2 equivalent, i.e., the amount of CO2 released from or taken up by terrestrial ecosystems for that specific pixel.\\n\\nThe spatial data sets are available on [Microsoft\\u2019s Planetary Computer](https://planetarycomputer.microsoft.com/dataset/chloris-biomass) under a Creative Common license of the type Attribution-Non Commercial-Share Alike [CC BY-NC-SA](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html).\\n\\n[Chloris Geospatial](https://chloris.earth/) is a mission-driven technology company that develops software and data products on the state of natural capital for use by business, governments, and the social sector.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biomass,carbon,chloris,chloris-biomass,modis\", \"license\": \"CC-BY-NC-SA-4.0\", \"title\": \"Chloris Biomass\", \"missionStartDate\": \"2003-07-31T00:00:00Z\"}, \"kaza-hydroforecast\": {\"abstract\": \"This dataset is a daily updated set of HydroForecast seasonal river flow forecasts at six locations in the Kwando and Upper Zambezi river basins. More details about the locations, project context, and to interactively view current and previous forecasts, visit our [public website](https://dashboard.hydroforecast.com/public/wwf-kaza).\\n\\n## Flow forecast dataset and model description\\n\\n[HydroForecast](https://www.upstream.tech/hydroforecast) is a theory-guided machine learning hydrologic model that predicts streamflow in basins across the world. For the Kwando and Upper Zambezi, HydroForecast makes daily predictions of streamflow rates using a [seasonal analog approach](https://support.upstream.tech/article/125-seasonal-analog-model-a-technical-overview). The model's output is probabilistic and the mean, median and a range of quantiles are available at each forecast step.\\n\\nThe underlying model has the following attributes: \\n\\n* Timestep: 10 days\\n* Horizon: 10 to 180 days \\n* Update frequency: daily\\n* Units: cubic meters per second (m\\u00b3/s)\\n \\n## Site details\\n\\nThe model produces output for six locations in the Kwando and Upper Zambezi river basins.\\n\\n* Upper Zambezi sites\\n * Zambezi at Chavuma\\n * Luanginga at Kalabo\\n* Kwando basin sites\\n * Kwando at Kongola -- total basin flows\\n * Kwando Sub-basin 1\\n * Kwando Sub-basin 2 \\n * Kwando Sub-basin 3\\n * Kwando Sub-basin 4\\n * Kwando Kongola Sub-basin\\n\\n## STAC metadata\\n\\nThere is one STAC item per location. Each STAC item has a single asset linking to a Parquet file in Azure Blob Storage.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"hydroforecast,hydrology,kaza-hydroforecast,streamflow,upstream-tech,water\", \"license\": \"CDLA-Sharing-1.0\", \"title\": \"HydroForecast - Kwando & Upper Zambezi Rivers\", \"missionStartDate\": \"2022-01-01T00:00:00Z\"}, \"planet-nicfi-analytic\": {\"abstract\": \"*Note: Assets in this collection are only available to winners of the [GEO-Microsoft Planetary Computer RFP](https://www.earthobservations.org/geo_blog_obs.php?id=528). Others wishing to use the data can sign up and access it from Planet at [https://www.planet.com/nicfi/](https://www.planet.com/nicfi/) and email [planetarycomputer@microsoft.com](mailto:planetarycomputer@microsoft.com).*\\n\\nThrough Norway\\u2019s International Climate & Forests Initiative (NICFI), users can access Planet\\u2019s high-resolution, analysis-ready mosaics of the world\\u2019s tropics in order to help reduce and reverse the loss of tropical forests, combat climate change, conserve biodiversity, and facilitate sustainable development.\\n\\nIn support of NICFI\\u2019s mission, you can use this data for a number of projects including, but not limited to:\\n\\n* Advance scientific research about the world\\u2019s tropical forests and the critical services they provide.\\n* Implement and improve policies for sustainable forest management and land use in developing tropical forest countries and jurisdictions.\\n* Increase transparency and accountability in the tropics.\\n* Protect and improve the rights of indigenous peoples and local communities in tropical forest countries.\\n* Innovate solutions towards reducing pressure on forests from global commodities and financial markets.\\n* In short, the primary purpose of the NICFI Program is to support reducing and reversing the loss of tropical forests, contributing to combating climate change, conserving biodiversity, contributing to forest regrowth, restoration, and enhancement, and facilitating sustainable development, all of which must be Non-Commercial Use.\\n\\nTo learn how more about the NICFI program, streaming and downloading basemaps please read the [NICFI Data Program User Guide](https://assets.planet.com/docs/NICFI_UserGuidesFAQ.pdf).\\n\\nThis collection contains both monthly and biannual mosaics. Biannual mosaics are available from December 2015 - August 2020. Monthly mosaics are available from September 2020. The STAC items include a `planet-nicfi:cadence` field indicating the type of mosaic.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"imagery,nicfi,planet,planet-nicfi-analytic,satellite,tropics\", \"license\": \"proprietary\", \"title\": \"Planet-NICFI Basemaps (Analytic)\", \"missionStartDate\": \"2015-12-01T00:00:00Z\"}, \"modis-17A2H-061\": {\"abstract\": \"The Version 6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter (m) pixel size based on the radiation use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. The Moderate Resolution Imaging Spectroradiometer (MODIS) data product includes information about GPP and Net Photosynthesis (PSN). The PSN band values are the GPP less the Maintenance Respiration (MR). The data product also contains a PSN Quality Control (QC) layer. The quality layer contains quality information for both the GPP and the PSN.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod17a2h,modis,modis-17a2h-061,myd17a2h,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Gross Primary Productivity 8-Day\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"modis-11A2-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature/Emissivity 8-Day Version 6.1 product provides an average 8-day per-pixel Land Surface Temperature and Emissivity (LST&E) with a 1 kilometer (km) spatial resolution in a 1,200 by 1,200 km grid. Each pixel value in the MOD11A2 is a simple average of all the corresponding MOD11A1 LST pixels collected within that 8-day period. The 8-day compositing period was chosen because twice that period is the exact ground track repeat period of the Terra and Aqua platforms. Provided along with the daytime and nighttime surface temperature bands are associated quality control assessments, observation times, view zenith angles, and clear-sky coverages along with bands 31 and 32 emissivities from land cover types.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod11a2,modis,modis-11a2-061,myd11a2,nasa,satellite,temperature,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Land Surface Temperature/Emissivity 8-Day\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"daymet-daily-pr\": {\"abstract\": \"Gridded estimates of daily weather parameters. [Daymet](https://daymet.ornl.gov) Version 4 variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1840](https://doi.org/10.3334/ORNLDAAC/1840) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#daily).\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"daymet,daymet-daily-pr,precipitation,puerto-rico,temperature,vapor-pressure,weather\", \"license\": \"proprietary\", \"title\": \"Daymet Daily Puerto Rico\", \"missionStartDate\": \"1980-01-01T12:00:00Z\"}, \"3dep-lidar-dtm-native\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It creates a Digital Terrain Model (DTM) using the vendor provided (native) ground classification and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to output a collection of Cloud Optimized GeoTIFFs, removing all points that have been classified as noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-dtm-native,cog,dtm,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Digital Terrain Model (Native)\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"3dep-lidar-classification\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It uses the [ASPRS](https://www.asprs.org/) (American Society for Photogrammetry and Remote Sensing) [Lidar point classification](https://desktop.arcgis.com/en/arcmap/latest/manage-data/las-dataset/lidar-point-classification.htm). See [LAS specification](https://www.ogc.org/standards/LAS) for details.\\n\\nThis COG type is based on the Classification [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.range`](https://pdal.io/stages/filters.range.html) to select a subset of interesting classifications. Do note that not all LiDAR collections contain a full compliment of classification labels.\\nTo remove outliers, the PDAL pipeline uses a noise filter and then outputs the Classification dimension.\\n\\nThe STAC collection implements the [`item_assets`](https://github.com/stac-extensions/item-assets) and [`classification`](https://github.com/stac-extensions/classification) extensions. These classes are displayed in the \\\"Item assets\\\" below. You can programmatically access the full list of class values and descriptions using the `classification:classes` field form the `data` asset on the STAC collection.\\n\\nClassification rasters were produced as a subset of LiDAR classification categories:\\n\\n```\\n0, Never Classified\\n1, Unclassified\\n2, Ground\\n3, Low Vegetation\\n4, Medium Vegetation\\n5, High Vegetation\\n6, Building\\n9, Water\\n10, Rail\\n11, Road\\n17, Bridge Deck\\n```\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-classification,classification,cog,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Classification\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"3dep-lidar-dtm\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It creates a Digital Terrain Model (DTM) using [`pdal.filters.smrf`](https://pdal.io/stages/filters.smrf.html#filters-smrf) to output a collection of Cloud Optimized GeoTIFFs.\\n\\nThe Simple Morphological Filter (SMRF) classifies ground points based on the approach outlined in [Pingel2013](https://pdal.io/references.html#pingel2013).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-dtm,cog,dtm,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Digital Terrain Model\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"gap\": {\"abstract\": \"The [USGS GAP/LANDFIRE National Terrestrial Ecosystems data](https://www.sciencebase.gov/catalog/item/573cc51be4b0dae0d5e4b0c5), based on the [NatureServe Terrestrial Ecological Systems](https://www.natureserve.org/products/terrestrial-ecological-systems-united-states), are the foundation of the most detailed, consistent map of vegetation available for the United States. These data facilitate planning and management for biological diversity on a regional and national scale.\\n\\nThis dataset includes the [land cover](https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/land-cover) component of the GAP/LANDFIRE project.\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"gap,land-cover,landfire,united-states,usgs\", \"license\": \"proprietary\", \"title\": \"USGS Gap Land Cover\", \"missionStartDate\": \"1999-01-01T00:00:00Z\"}, \"modis-17A2HGF-061\": {\"abstract\": \"The Version 6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter (m) pixel size based on the radiation use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. The Moderate Resolution Imaging Spectroradiometer (MODIS) data product includes information about GPP and Net Photosynthesis (PSN). The PSN band values are the GPP less the Maintenance Respiration (MR). The data product also contains a PSN Quality Control (QC) layer. The quality layer contains quality information for both the GPP and the PSN. This product will be generated at the end of each year when the entire yearly 8-day 15A2H is available. Hence, the gap-filled A2HGF is the improved 17, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (FPAR/LAI) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get this product in near-real time because it will be generated only at the end of a given year.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod17a2hgf,modis,modis-17a2hgf-061,myd17a2hgf,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Gross Primary Productivity 8-Day Gap-Filled\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"planet-nicfi-visual\": {\"abstract\": \"*Note: Assets in this collection are only available to winners of the [GEO-Microsoft Planetary Computer RFP](https://www.earthobservations.org/geo_blog_obs.php?id=528). Others wishing to use the data can sign up and access it from Planet at [https://www.planet.com/nicfi/](https://www.planet.com/nicfi/) and email [planetarycomputer@microsoft.com](mailto:planetarycomputer@microsoft.com).*\\n\\nThrough Norway\\u2019s International Climate & Forests Initiative (NICFI), users can access Planet\\u2019s high-resolution, analysis-ready mosaics of the world\\u2019s tropics in order to help reduce and reverse the loss of tropical forests, combat climate change, conserve biodiversity, and facilitate sustainable development.\\n\\nIn support of NICFI\\u2019s mission, you can use this data for a number of projects including, but not limited to:\\n\\n* Advance scientific research about the world\\u2019s tropical forests and the critical services they provide.\\n* Implement and improve policies for sustainable forest management and land use in developing tropical forest countries and jurisdictions.\\n* Increase transparency and accountability in the tropics.\\n* Protect and improve the rights of indigenous peoples and local communities in tropical forest countries.\\n* Innovate solutions towards reducing pressure on forests from global commodities and financial markets.\\n* In short, the primary purpose of the NICFI Program is to support reducing and reversing the loss of tropical forests, contributing to combating climate change, conserving biodiversity, contributing to forest regrowth, restoration, and enhancement, and facilitating sustainable development, all of which must be Non-Commercial Use.\\n\\nTo learn how more about the NICFI program, streaming and downloading basemaps please read the [NICFI Data Program User Guide](https://assets.planet.com/docs/NICFI_UserGuidesFAQ.pdf).\\n\\nThis collection contains both monthly and biannual mosaics. Biannual mosaics are available from December 2015 - August 2020. Monthly mosaics are available from September 2020. The STAC items include a `planet-nicfi:cadence` field indicating the type of mosaic.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"imagery,nicfi,planet,planet-nicfi-visual,satellite,tropics\", \"license\": \"proprietary\", \"title\": \"Planet-NICFI Basemaps (Visual)\", \"missionStartDate\": \"2015-12-01T00:00:00Z\"}, \"gbif\": {\"abstract\": \"The [Global Biodiversity Information Facility](https://www.gbif.org) (GBIF) is an international network and data infrastructure funded by the world's governments, providing global data that document the occurrence of species. GBIF currently integrates datasets documenting over 1.6 billion species occurrences.\\n\\nThe GBIF occurrence dataset combines data from a wide array of sources, including specimen-related data from natural history museums, observations from citizen science networks, and automated environmental surveys. While these data are constantly changing at [GBIF.org](https://www.gbif.org), periodic snapshots are taken and made available here. \\n\\nData are stored in [Parquet](https://parquet.apache.org/) format; the Parquet file schema is described below. Most field names correspond to [terms from the Darwin Core standard](https://dwc.tdwg.org/terms/), and have been interpreted by GBIF's systems to align taxonomy, location, dates, etc. Additional information may be retrieved using the [GBIF API](https://www.gbif.org/developer/summary).\\n\\nPlease refer to the GBIF [citation guidelines](https://www.gbif.org/citation-guidelines) for information about how to cite GBIF data in publications.. For analyses using the whole dataset, please use the following citation:\\n\\n> GBIF.org ([Date]) GBIF Occurrence Data [DOI of dataset]\\n\\nFor analyses where data are significantly filtered, please track the datasetKeys used and use a \\\"[derived dataset](https://www.gbif.org/citation-guidelines#derivedDatasets)\\\" record for citing the data.\\n\\nThe [GBIF data blog](https://data-blog.gbif.org/categories/gbif/) contains a number of articles that can help you analyze GBIF data.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biodiversity,gbif,species\", \"license\": \"proprietary\", \"title\": \"Global Biodiversity Information Facility (GBIF)\", \"missionStartDate\": \"2021-04-13T00:00:00Z\"}, \"modis-17A3HGF-061\": {\"abstract\": \"The Version 6.1 product provides information about annual Net Primary Production (NPP) at 500 meter (m) pixel resolution. Annual Moderate Resolution Imaging Spectroradiometer (MODIS) NPP is derived from the sum of all 8-day Net Photosynthesis (PSN) products (MOD17A2H) from the given year. The PSN value is the difference of the Gross Primary Productivity (GPP) and the Maintenance Respiration (MR). The product will be generated at the end of each year when the entire yearly 8-day 15A2H is available. Hence, the gap-filled product is the improved 17, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get this product in near-real time because it will be generated only at the end of a given year.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod17a3hgf,modis,modis-17a3hgf-061,myd17a3hgf,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Net Primary Production Yearly Gap-Filled\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"modis-09A1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) 09A1 Version 6.1 product provides an estimate of the surface spectral reflectance of MODIS Bands 1 through 7 corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven 500 meter (m) reflectance bands are two quality layers and four observation bands. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,imagery,mod09a1,modis,modis-09a1-061,myd09a1,nasa,reflectance,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Surface Reflectance 8-Day (500m)\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"alos-dem\": {\"abstract\": \"The \\\"ALOS World 3D-30m\\\" (AW3D30) dataset is a 30 meter resolution global digital surface model (DSM), developed by the Japan Aerospace Exploration Agency (JAXA). AWD30 was constructed from the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) on board Advanced Land Observing Satellite (ALOS), operated from 2006 to 2011.\\n\\nSee the [Product Description](https://www.eorc.jaxa.jp/ALOS/en/aw3d30/aw3d30v3.2_product_e_e1.2.pdf) for more details.\\n\", \"instrument\": \"prism\", \"platform\": null, \"platformSerialIdentifier\": \"alos\", \"processingLevel\": null, \"keywords\": \"alos,alos-dem,dem,dsm,elevation,jaxa,prism\", \"license\": \"proprietary\", \"title\": \"ALOS World 3D-30m\", \"missionStartDate\": \"2016-12-07T00:00:00Z\"}, \"alos-palsar-mosaic\": {\"abstract\": \"Global 25 m Resolution PALSAR-2/PALSAR Mosaic (MOS)\", \"instrument\": \"PALSAR,PALSAR-2\", \"platform\": null, \"platformSerialIdentifier\": \"ALOS,ALOS-2\", \"processingLevel\": null, \"keywords\": \"alos,alos-2,alos-palsar-mosaic,global,jaxa,palsar,palsar-2,remote-sensing\", \"license\": \"proprietary\", \"title\": \"ALOS PALSAR Annual Mosaic\", \"missionStartDate\": \"2015-01-01T00:00:00Z\"}, \"deltares-water-availability\": {\"abstract\": \"[Deltares](https://www.deltares.nl/en/) has produced a hydrological model approach to simulate historical daily reservoir variations for 3,236 locations across the globe for the period 1970-2020 using the distributed [wflow_sbm](https://deltares.github.io/Wflow.jl/stable/model_docs/model_configurations/) model. The model outputs long-term daily information on reservoir volume, inflow and outflow dynamics, as well as information on upstream hydrological forcing.\\n\\nThey hydrological model was forced with 5 different precipitation products. Two products (ERA5 and CHIRPS) are available at the global scale, while for Europe, USA and Australia a regional product was use (i.e. EOBS, NLDAS and BOM, respectively). Using these different precipitation products, it becomes possible to assess the impact of uncertainty in the model forcing. A different number of basins upstream of reservoirs are simulated, given the spatial coverage of each precipitation product.\\n\\nSee the complete [methodology documentation](https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/pc-deltares-water-availability-documentation.pdf) for more information.\\n\\n## Dataset coverages\\n\\n| Name | Scale | Period | Number of basins |\\n|--------|--------------------------|-----------|------------------|\\n| ERA5 | Global | 1967-2020 | 3236 |\\n| CHIRPS | Global (+/- 50 latitude) | 1981-2020 | 2951 |\\n| EOBS | Europe/North Africa | 1979-2020 | 682 |\\n| NLDAS | USA | 1979-2020 | 1090 |\\n| BOM | Australia | 1979-2020 | 116 |\\n\\n## STAC Metadata\\n\\nThis STAC collection includes one STAC item per dataset. The item includes a `deltares:reservoir` property that can be used to query for the URL of a specific dataset.\\n\\n## Contact\\n\\nFor questions about this dataset, contact [`aiforearthdatasets@microsoft.com`](mailto:aiforearthdatasets@microsoft.com?subject=deltares-floods%20question).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"deltares,deltares-water-availability,precipitation,reservoir,water,water-availability\", \"license\": \"CDLA-Permissive-1.0\", \"title\": \"Deltares Global Water Availability\", \"missionStartDate\": \"1970-01-01T00:00:00Z\"}, \"modis-16A3GF-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16A3GF Version 6.1 Evapotranspiration/Latent Heat Flux (ET/LE) product is a year-end gap-filled yearly composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with MODIS remotely sensed data products such as vegetation property dynamics, albedo, and land cover. The product will be generated at the end of each year when the entire yearly 8-day MOD15A2H/MYD15A2H is available. Hence, the gap-filled product is the improved 16, which has cleaned the poor-quality inputs from yearly Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get this product in near-real time because it will be generated only at the end of a given year. Provided in the product are layers for composited ET, LE, Potential ET (PET), and Potential LE (PLE) along with a quality control layer. Two low resolution browse images, ET and LE, are also available for each granule. The pixel values for the two Evapotranspiration layers (ET and PET) are the sum for all days within the defined year, and the pixel values for the two Latent Heat layers (LE and PLE) are the average of all days within the defined year.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod16a3gf,modis,modis-16a3gf-061,myd16a3gf,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Net Evapotranspiration Yearly Gap-Filled\", \"missionStartDate\": \"2001-01-01T00:00:00Z\"}, \"modis-21A2-061\": {\"abstract\": \"A suite of Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity (LST&E) products are available in Collection 6.1. The MOD21 Land Surface Temperatuer (LST) algorithm differs from the algorithm of the MOD11 LST products, in that the MOD21 algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MOD11 uses the split-window technique. The MOD21 TES algorithm uses a physics-based algorithm to dynamically retrieve both the LST and spectral emissivity simultaneously from the MODIS thermal infrared bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. This dataset is an 8-day composite LST product at 1,000 meter spatial resolution that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free 21A1D and 21A1N daily acquisitions from the 8-day period. Unlike the 21A1 data sets where the daytime and nighttime acquisitions are separate products, the 21A2 contains both daytime and nighttime acquisitions as separate Science Dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. The LST, Quality Control (QC), view zenith angle, and viewing time have separate day and night SDS layers, while the values for the MODIS emissivity bands 29, 31, and 32 are the average of both the nighttime and daytime acquisitions. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod21a2,modis,modis-21a2-061,myd21a2,nasa,satellite,temperature,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Land Surface Temperature/3-Band Emissivity 8-Day\", \"missionStartDate\": \"2000-02-16T00:00:00Z\"}, \"us-census\": {\"abstract\": \"The [2020 Census](https://www.census.gov/programs-surveys/decennial-census/decade/2020/2020-census-main.html) counted every person living in the United States and the five U.S. territories. It marked the 24th census in U.S. history and the first time that households were invited to respond to the census online.\\n\\nThe tables included on the Planetary Computer provide information on population and geographic boundaries at various levels of cartographic aggregation.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"administrative-boundaries,demographics,population,us-census,us-census-bureau\", \"license\": \"proprietary\", \"title\": \"US Census\", \"missionStartDate\": \"2021-08-01T00:00:00Z\"}, \"jrc-gsw\": {\"abstract\": \"Global surface water products from the European Commission Joint Research Centre, based on Landsat 5, 7, and 8 imagery. Layers in this collection describe the occurrence, change, and seasonality of surface water from 1984-2020. Complete documentation for each layer is available in the [Data Users Guide](https://storage.cloud.google.com/global-surface-water/downloads_ancillary/DataUsersGuidev2020.pdf).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"global,jrc-gsw,landsat,water\", \"license\": \"proprietary\", \"title\": \"JRC Global Surface Water\", \"missionStartDate\": \"1984-03-01T00:00:00Z\"}, \"deltares-floods\": {\"abstract\": \"[Deltares](https://www.deltares.nl/en/) has produced inundation maps of flood depth using a model that takes into account water level attenuation and is forced by sea level. At the coastline, the model is forced by extreme water levels containing surge and tide from GTSMip6. The water level at the coastline is extended landwards to all areas that are hydrodynamically connected to the coast following a \\u2018bathtub\\u2019 like approach and calculates the flood depth as the difference between the water level and the topography. Unlike a simple 'bathtub' model, this model attenuates the water level over land with a maximum attenuation factor of 0.5\\u2009m\\u2009km-1. The attenuation factor simulates the dampening of the flood levels due to the roughness over land.\\n\\nIn its current version, the model does not account for varying roughness over land and permanent water bodies such as rivers and lakes, and it does not account for the compound effects of waves, rainfall, and river discharge on coastal flooding. It also does not include the mitigating effect of coastal flood protection. Flood extents must thus be interpreted as the area that is potentially exposed to flooding without coastal protection.\\n\\nSee the complete [methodology documentation](https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/11206409-003-ZWS-0003_v0.1-Planetary-Computer-Deltares-global-flood-docs.pdf) for more information.\\n\\n## Digital elevation models (DEMs)\\n\\nThis documentation will refer to three DEMs:\\n\\n* `NASADEM` is the SRTM-derived [NASADEM](https://planetarycomputer.microsoft.com/dataset/nasadem) product.\\n* `MERITDEM` is the [Multi-Error-Removed Improved Terrain DEM](http://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/), derived from SRTM and AW3D.\\n* `LIDAR` is the [Global LiDAR Lowland DTM (GLL_DTM_v1)](https://data.mendeley.com/datasets/v5x4vpnzds/1).\\n\\n## Global datasets\\n\\nThis collection includes multiple global flood datasets derived from three different DEMs (`NASA`, `MERIT`, and `LIDAR`) and at different resolutions. Not all DEMs have all resolutions:\\n\\n* `NASADEM` and `MERITDEM` are available at `90m` and `1km` resolutions\\n* `LIDAR` is available at `5km` resolution\\n\\n## Historic event datasets\\n\\nThis collection also includes historical storm event data files that follow similar DEM and resolution conventions. Not all storms events are available for each DEM and resolution combination, but generally follow the format of:\\n\\n`events/[DEM]_[resolution]-wm_final/[storm_name]_[event_year]_masked.nc`\\n\\nFor example, a flood map for the MERITDEM-derived 90m flood data for the \\\"Omar\\\" storm in 2008 is available at:\\n\\n<https://deltaresfloodssa.blob.core.windows.net/floods/v2021.06/events/MERITDEM_90m-wm_final/Omar_2008_masked.nc>\\n\\n## Contact\\n\\nFor questions about this dataset, contact [`aiforearthdatasets@microsoft.com`](mailto:aiforearthdatasets@microsoft.com?subject=deltares-floods%20question).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"deltares,deltares-floods,flood,global,sea-level-rise,water\", \"license\": \"CDLA-Permissive-1.0\", \"title\": \"Deltares Global Flood Maps\", \"missionStartDate\": \"2018-01-01T00:00:00Z\"}, \"modis-43A4-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A4 Version 6.1 Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) dataset is produced daily using 16 days of Terra and Aqua MODIS data at 500 meter (m) resolution. The view angle effects are removed from the directional reflectances, resulting in a stable and consistent NBAR product. Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the User Guide. The MCD43A4 provides NBAR and simplified mandatory quality layers for MODIS bands 1 through 7. Essential quality information provided in the corresponding MCD43A2 data file should be consulted when using this product.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,imagery,mcd43a4,modis,modis-43a4-061,nasa,reflectance,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Nadir BRDF-Adjusted Reflectance (NBAR) Daily\", \"missionStartDate\": \"2000-02-16T00:00:00Z\"}, \"modis-09Q1-061\": {\"abstract\": \"The 09Q1 Version 6.1 product provides an estimate of the surface spectral reflectance of Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 250 meter (m) surface reflectance bands are two quality layers. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,imagery,mod09q1,modis,modis-09q1-061,myd09q1,nasa,reflectance,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Surface Reflectance 8-Day (250m)\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"modis-14A1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire Daily Version 6.1 data are generated every eight days at 1 kilometer (km) spatial resolution as a Level 3 product. MOD14A1 contains eight consecutive days of fire data conveniently packaged into a single file. The Science Dataset (SDS) layers include the fire mask, pixel quality indicators, maximum fire radiative power (MaxFRP), and the position of the fire pixel within the scan. Each layer consists of daily per pixel information for each of the eight days of data acquisition.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,fire,global,mod14a1,modis,modis-14a1-061,myd14a1,nasa,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Thermal Anomalies/Fire Daily\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"hrea\": {\"abstract\": \"The [HREA](http://www-personal.umich.edu/~brianmin/HREA/index.html) project aims to provide open access to new indicators of electricity access and reliability across the world. Leveraging satellite imagery with computational methods, these high-resolution data provide new tools to track progress toward reliable and sustainable energy access across the world.\\n\\nThis dataset includes settlement-level measures of electricity access, reliability, and usage for 89 nations, derived from nightly VIIRS satellite imagery. Specifically, this dataset provides the following annual values at country-level granularity:\\n\\n1. **Access**: Predicted likelihood that a settlement is electrified, based on night-by-night comparisons of each settlement against matched uninhabited areas over a calendar year.\\n\\n2. **Reliability**: Proportion of nights a settlement is statistically brighter than matched uninhabited areas. Areas with more frequent power outages or service interruptions have lower rates.\\n\\n3. **Usage**: Higher levels of brightness indicate more robust usage of outdoor lighting, which is highly correlated with overall energy consumption.\\n\\n4. **Nighttime Lights**: Annual composites of VIIRS nighttime light output.\\n\\nFor more information and methodology, please visit the [HREA website](http://www-personal.umich.edu/~brianmin/HREA/index.html).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"electricity,hrea,viirs\", \"license\": \"CC-BY-4.0\", \"title\": \"HREA: High Resolution Electricity Access\", \"missionStartDate\": \"2012-12-31T00:00:00Z\"}, \"modis-13Q1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices Version 6.1 data are generated every 16 days at 250 meter (m) spatial resolution as a Level 3 product. The MOD13Q1 product provides two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. Along with the vegetation layers and the two quality layers, the HDF file will have MODIS reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod13q1,modis,modis-13q1-061,myd13q1,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Vegetation Indices 16-Day (250m)\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"modis-14A2-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire 8-Day Version 6.1 data are generated at 1 kilometer (km) spatial resolution as a Level 3 product. The MOD14A2 gridded composite contains the maximum value of the individual fire pixel classes detected during the eight days of acquisition. The Science Dataset (SDS) layers include the fire mask and pixel quality indicators.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,fire,global,mod14a2,modis,modis-14a2-061,myd14a2,nasa,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Thermal Anomalies/Fire 8-Day\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"sentinel-2-l2a\": {\"abstract\": \"The [Sentinel-2](https://sentinel.esa.int/web/sentinel/missions/sentinel-2) program provides global imagery in thirteen spectral bands at 10m-60m resolution and a revisit time of approximately five days. This dataset represents the global Sentinel-2 archive, from 2016 to the present, processed to L2A (bottom-of-atmosphere) using [Sen2Cor](https://step.esa.int/main/snap-supported-plugins/sen2cor/) and converted to [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\", \"instrument\": \"msi\", \"platform\": \"sentinel-2\", \"platformSerialIdentifier\": \"Sentinel-2A,Sentinel-2B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,global,imagery,msi,reflectance,satellite,sentinel,sentinel-2,sentinel-2-l2a,sentinel-2a,sentinel-2b\", \"license\": \"proprietary\", \"title\": \"Sentinel-2 Level-2A\", \"missionStartDate\": \"2015-06-27T10:25:31Z\"}, \"modis-15A2H-061\": {\"abstract\": \"The Version 6.1 Moderate Resolution Imaging Spectroradiometer (MODIS) Level 4, Combined Fraction of Photosynthetically Active Radiation (FPAR), and Leaf Area Index (LAI) product is an 8-day composite dataset with 500 meter pixel size. The algorithm chooses the best pixel available from within the 8-day period. LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation (400-700 nm) absorbed by the green elements of a vegetation canopy.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mcd15a2h,mod15a2h,modis,modis-15a2h-061,myd15a2h,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Leaf Area Index/FPAR 8-Day\", \"missionStartDate\": \"2002-07-04T00:00:00Z\"}, \"modis-11A1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature/Emissivity Daily Version 6.1 product provides daily per-pixel Land Surface Temperature and Emissivity (LST&E) with 1 kilometer (km) spatial resolution in a 1,200 by 1,200 km grid. The pixel temperature value is derived from the MOD11_L2 swath product. Above 30 degrees latitude, some pixels may have multiple observations where the criteria for clear-sky are met. When this occurs, the pixel value is a result of the average of all qualifying observations. Provided along with the daytime and nighttime surface temperature bands are associated quality control assessments, observation times, view zenith angles, and clear-sky coverages along with bands 31 and 32 emissivities from land cover types\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod11a1,modis,modis-11a1-061,myd11a1,nasa,satellite,temperature,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Land Surface Temperature/Emissivity Daily\", \"missionStartDate\": \"2000-02-24T00:00:00Z\"}, \"modis-15A3H-061\": {\"abstract\": \"The MCD15A3H Version 6.1 Moderate Resolution Imaging Spectroradiometer (MODIS) Level 4, Combined Fraction of Photosynthetically Active Radiation (FPAR), and Leaf Area Index (LAI) product is a 4-day composite data set with 500 meter pixel size. The algorithm chooses the best pixel available from all the acquisitions of both MODIS sensors located on NASA's Terra and Aqua satellites from within the 4-day period. LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation (400-700 nm) absorbed by the green elements of a vegetation canopy.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mcd15a3h,modis,modis-15a3h-061,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Leaf Area Index/FPAR 4-Day\", \"missionStartDate\": \"2002-07-04T00:00:00Z\"}, \"modis-13A1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. Provided along with the vegetation layers and two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod13a1,modis,modis-13a1-061,myd13a1,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Vegetation Indices 16-Day (500m)\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"daymet-daily-na\": {\"abstract\": \"Gridded estimates of daily weather parameters. [Daymet](https://daymet.ornl.gov) Version 4 variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1840](https://doi.org/10.3334/ORNLDAAC/1840) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#daily).\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"daymet,daymet-daily-na,north-america,precipitation,temperature,vapor-pressure,weather\", \"license\": \"proprietary\", \"title\": \"Daymet Daily North America\", \"missionStartDate\": \"1980-01-01T12:00:00Z\"}, \"nrcan-landcover\": {\"abstract\": \"Collection of Land Cover products for Canada as produced by Natural Resources Canada using Landsat satellite imagery. This collection of cartographic products offers classified Land Cover of Canada at a 30 metre scale, updated on a 5 year basis.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"canada,land-cover,landsat,north-america,nrcan-landcover,remote-sensing\", \"license\": \"OGL-Canada-2.0\", \"title\": \"Land Cover of Canada\", \"missionStartDate\": \"2015-01-01T00:00:00Z\"}, \"modis-10A2-061\": {\"abstract\": \"This global Level-3 (L3) data set provides the maximum snow cover extent observed over an eight-day period within 10degx10deg MODIS sinusoidal grid tiles. Tiles are generated by compositing 500 m observations from the 'MODIS Snow Cover Daily L3 Global 500m Grid' data set. A bit flag index is used to track the eight-day snow/no-snow chronology for each 500 m cell.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod10a2,modis,modis-10a2-061,myd10a2,nasa,satellite,snow,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Snow Cover 8-day\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"ecmwf-forecast\": {\"abstract\": \"The [ECMWF catalog of real-time products](https://www.ecmwf.int/en/forecasts/datasets/catalogue-ecmwf-real-time-products) offers real-time meterological and oceanographic productions from the ECMWF forecast system. Users should consult the [ECMWF Forecast User Guide](https://confluence.ecmwf.int/display/FUG/1+Introduction) for detailed information on each of the products.\\n\\n## Overview of products\\n\\nThe following diagram shows the publishing schedule of the various products.\\n\\n<a href=\\\"https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/ecmwf-forecast-coverage.png\\\"><img src=\\\"https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/ecmwf-forecast-coverage.png\\\" width=\\\"100%\\\"/></a>\\n\\nThe vertical axis shows the various products, defined below, which are grouped by combinations of `stream`, `forecast type`, and `reference time`. The horizontal axis shows *forecast times* in 3-hour intervals out from the reference time. A black square over a particular forecast time, or step, indicates that a forecast is made for that forecast time, for that particular `stream`, `forecast type`, `reference time` combination.\\n\\n* **stream** is the forecasting system that produced the data. The values are available in the `ecmwf:stream` summary of the STAC collection. They are:\\n * `enfo`: [ensemble forecast](https://confluence.ecmwf.int/display/FUG/ENS+-+Ensemble+Forecasts), atmospheric fields\\n * `mmsf`: [multi-model seasonal forecasts](https://confluence.ecmwf.int/display/FUG/Long-Range+%28Seasonal%29+Forecast) fields from the ECMWF model only.\\n * `oper`: [high-resolution forecast](https://confluence.ecmwf.int/display/FUG/HRES+-+High-Resolution+Forecast), atmospheric fields \\n * `scda`: short cut-off high-resolution forecast, atmospheric fields (also known as \\\"high-frequency products\\\")\\n * `scwv`: short cut-off high-resolution forecast, ocean wave fields (also known as \\\"high-frequency products\\\") and\\n * `waef`: [ensemble forecast](https://confluence.ecmwf.int/display/FUG/ENS+-+Ensemble+Forecasts), ocean wave fields,\\n * `wave`: wave model\\n* **type** is the forecast type. The values are available in the `ecmwf:type` summary of the STAC collection. They are:\\n * `fc`: forecast\\n * `ef`: ensemble forecast\\n * `pf`: ensemble probabilities\\n * `tf`: trajectory forecast for tropical cyclone tracks\\n* **reference time** is the hours after midnight when the model was run. Each stream / type will produce assets for different forecast times (steps from the reference datetime) depending on the reference time.\\n\\nVisit the [ECMWF's User Guide](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time) for more details on each of the various products.\\n\\nAssets are available for the previous 30 days.\\n\\n## Asset overview\\n\\nThe data are provided as [GRIB2 files](https://confluence.ecmwf.int/display/CKB/What+are+GRIB+files+and+how+can+I+read+them).\\nAdditionally, [index files](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time#ECMWFOpenDataRealTime-IndexFilesIndexfiles) are provided, which can be used to read subsets of the data from Azure Blob Storage.\\n\\nWithin each `stream`, `forecast type`, `reference time`, the structure of the data are mostly consistent. Each GRIB2 file will have the\\nsame data variables, coordinates (aside from `time` as the *reference time* changes and `step` as the *forecast time* changes). The exception\\nis the `enfo-ep` and `waef-ep` products, which have more `step`s in the 240-hour forecast than in the 360-hour forecast. \\n\\nSee the example notebook for more on how to access the data.\\n\\n## STAC metadata\\n\\nThe Planetary Computer provides a single STAC item per GRIB2 file. Each GRIB2 file is global in extent, so every item has the same\\n`bbox` and `geometry`.\\n\\nA few custom properties are available on each STAC item, which can be used in searches to narrow down the data to items of interest:\\n\\n* `ecmwf:stream`: The forecasting system (see above for definitions). The full set of values is available in the Collection's summaries.\\n* `ecmwf:type`: The forecast type (see above for definitions). The full set of values is available in the Collection's summaries.\\n* `ecmwf:step`: The offset from the reference datetime, expressed as `<value><unit>`, for example `\\\"3h\\\"` means \\\"3 hours from the reference datetime\\\". \\n* `ecmwf:reference_datetime`: The datetime when the model was run. This indicates when the forecast *was made*, rather than when it's valid for.\\n* `ecmwf:forecast_datetime`: The datetime for which the forecast is valid. This is also set as the item's `datetime`.\\n\\nSee the example notebook for more on how to use the STAC metadata to query for particular data.\\n\\n## Attribution\\n\\nThe products listed and described on this page are available to the public and their use is governed by the [Creative Commons CC-4.0-BY license and the ECMWF Terms of Use](https://apps.ecmwf.int/datasets/licences/general/). This means that the data may be redistributed and used commercially, subject to appropriate attribution.\\n\\nThe following wording should be attached to the use of this ECMWF dataset: \\n\\n1. Copyright statement: Copyright \\\"\\u00a9 [year] European Centre for Medium-Range Weather Forecasts (ECMWF)\\\".\\n2. Source [www.ecmwf.int](http://www.ecmwf.int/)\\n3. License Statement: This data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)\\n4. Disclaimer: ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use.\\n5. Where applicable, an indication if the material has been modified and an indication of previous modifications.\\n\\nThe following wording shall be attached to services created with this ECMWF dataset:\\n\\n1. Copyright statement: Copyright \\\"This service is based on data and products of the European Centre for Medium-Range Weather Forecasts (ECMWF)\\\".\\n2. Source www.ecmwf.int\\n3. License Statement: This ECMWF data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)\\n4. Disclaimer: ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use.\\n5. Where applicable, an indication if the material has been modified and an indication of previous modifications\\n\\n## More information\\n\\nFor more, see the [ECMWF's User Guide](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time) and [example notebooks](https://github.com/ecmwf/notebook-examples/tree/master/opencharts).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"ecmwf,ecmwf-forecast,forecast,weather\", \"license\": \"CC-BY-4.0\", \"title\": \"ECMWF Open Data (real-time)\", \"missionStartDate\": null}, \"noaa-mrms-qpe-24h-pass2\": {\"abstract\": \"The [Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation (QPE)](https://www.nssl.noaa.gov/projects/mrms/) products are seamless 1-km mosaics of precipitation accumulation covering the continental United States, Alaska, Hawaii, the Caribbean, and Guam. The products are automatically generated through integration of data from multiple radars and radar networks, surface and satellite observations, numerical weather prediction (NWP) models, and climatology. The products are updated hourly at the top of the hour.\\n\\nMRMS QPE is available as a \\\"Pass 1\\\" or \\\"Pass 2\\\" product. The Pass 1 product is available with a 60-minute latency and includes 60-65% of gauges. The Pass 2 product has a higher latency of 120 minutes, but includes 99% of gauges. The Pass 1 and Pass 2 products are broken into 1-, 3-, 6-, 12-, 24-, 48-, and 72-hour accumulation sub-products.\\n\\nThis Collection contains the **24-Hour Pass 2** sub-product, i.e., 24-hour cumulative precipitation accumulation with a 2-hour latency. The data are available in [Cloud Optimized GeoTIFF](https://www.cogeo.org/) format as well as the original source GRIB2 format files. The GRIB2 files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"caribbean,guam,mrms,noaa,noaa-mrms-qpe-24h-pass2,precipitation,qpe,united-states,weather\", \"license\": \"proprietary\", \"title\": \"NOAA MRMS QPE 24-Hour Pass 2\", \"missionStartDate\": \"2022-07-21T20:00:00Z\"}, \"sentinel-1-grd\": {\"abstract\": \"The [Sentinel-1](https://sentinel.esa.int/web/sentinel/missions/sentinel-1) mission is a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging. The Level-1 Ground Range Detected (GRD) products in this Collection consist of focused SAR data that has been detected, multi-looked and projected to ground range using the Earth ellipsoid model WGS84. The ellipsoid projection of the GRD products is corrected using the terrain height specified in the product general annotation. The terrain height used varies in azimuth but is constant in range (but can be different for each IW/EW sub-swath).\\n\\nGround range coordinates are the slant range coordinates projected onto the ellipsoid of the Earth. Pixel values represent detected amplitude. Phase information is lost. The resulting product has approximately square resolution pixels and square pixel spacing with reduced speckle at a cost of reduced spatial resolution.\\n\\nFor the IW and EW GRD products, multi-looking is performed on each burst individually. All bursts in all sub-swaths are then seamlessly merged to form a single, contiguous, ground range, detected image per polarization.\\n\\nFor more information see the [ESA documentation](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/product-types-processing-levels/level-1)\\n\\n### Terrain Correction\\n\\nUsers might want to geometrically or radiometrically terrain correct the Sentinel-1 GRD data from this collection. The [Sentinel-1-RTC Collection](https://planetarycomputer.microsoft.com/dataset/sentinel-1-rtc) collection is a global radiometrically terrain corrected dataset derived from Sentinel-1 GRD. Additionally, users can terrain-correct on the fly using [any DEM available on the Planetary Computer](https://planetarycomputer.microsoft.com/catalog?tags=DEM). See [Customizable radiometric terrain correction](https://planetarycomputer.microsoft.com/docs/tutorials/customizable-rtc-sentinel1/) for more.\", \"instrument\": null, \"platform\": \"Sentinel-1\", \"platformSerialIdentifier\": \"SENTINEL-1A,SENTINEL-1B\", \"processingLevel\": null, \"keywords\": \"c-band,copernicus,esa,grd,sar,sentinel,sentinel-1,sentinel-1-grd,sentinel-1a,sentinel-1b\", \"license\": \"proprietary\", \"title\": \"Sentinel 1 Level-1 Ground Range Detected (GRD)\", \"missionStartDate\": \"2014-10-10T00:28:21Z\"}, \"nasadem\": {\"abstract\": \"[NASADEM](https://earthdata.nasa.gov/esds/competitive-programs/measures/nasadem) provides global topographic data at 1 arc-second (~30m) horizontal resolution, derived primarily from data captured via the [Shuttle Radar Topography Mission](https://www2.jpl.nasa.gov/srtm/) (SRTM).\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"dem,elevation,jpl,nasa,nasadem,nga,srtm,usgs\", \"license\": \"proprietary\", \"title\": \"NASADEM HGT v001\", \"missionStartDate\": \"2000-02-20T00:00:00Z\"}, \"io-lulc\": {\"abstract\": \"__Note__: _A new version of this item is available for your use. This mature version of the map remains available for use in existing applications. This item will be retired in December 2024. There is 2020 data available in the newer [9-class dataset](https://planetarycomputer.microsoft.com/dataset/io-lulc-9-class)._\\n\\nGlobal estimates of 10-class land use/land cover (LULC) for 2020, derived from ESA Sentinel-2 imagery at 10m resolution. This dataset was generated by [Impact Observatory](http://impactobservatory.com/), who used billions of human-labeled pixels (curated by the National Geographic Society) to train a deep learning model for land classification. The global map was produced by applying this model to the relevant yearly Sentinel-2 scenes on the Planetary Computer.\\n\\nThis dataset is also available on the [ArcGIS Living Atlas of the World](https://livingatlas.arcgis.com/landcover/).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"global,io-lulc,land-cover,land-use,sentinel\", \"license\": \"CC-BY-4.0\", \"title\": \"Esri 10-Meter Land Cover (10-class)\", \"missionStartDate\": \"2017-01-01T00:00:00Z\"}, \"landsat-c2-l1\": {\"abstract\": \"Landsat Collection 2 Level-1 data, consisting of quantized and calibrated scaled Digital Numbers (DN) representing the multispectral image data. These [Level-1](https://www.usgs.gov/landsat-missions/landsat-collection-2-level-1-data) data can be [rescaled](https://www.usgs.gov/landsat-missions/using-usgs-landsat-level-1-data-product) to top of atmosphere (TOA) reflectance and/or radiance. Thermal band data can be rescaled to TOA brightness temperature.\\n\\nThis dataset represents the global archive of Level-1 data from [Landsat Collection 2](https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collection-2) acquired by the [Multispectral Scanner System](https://landsat.gsfc.nasa.gov/multispectral-scanner-system/) onboard Landsat 1 through Landsat 5 from July 7, 1972 to January 7, 2013. Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\", \"instrument\": \"mss\", \"platform\": null, \"platformSerialIdentifier\": \"landsat-1,landsat-2,landsat-3,landsat-4,landsat-5\", \"processingLevel\": null, \"keywords\": \"global,imagery,landsat,landsat-1,landsat-2,landsat-3,landsat-4,landsat-5,landsat-c2-l1,mss,nasa,satellite,usgs\", \"license\": \"proprietary\", \"title\": \"Landsat Collection 2 Level-1\", \"missionStartDate\": \"1972-07-25T00:00:00Z\"}, \"drcog-lulc\": {\"abstract\": \"The [Denver Regional Council of Governments (DRCOG) Land Use/Land Cover (LULC)](https://drcog.org/services-and-resources/data-maps-and-modeling/regional-land-use-land-cover-project) datasets are developed in partnership with the [Babbit Center for Land and Water Policy](https://www.lincolninst.edu/our-work/babbitt-center-land-water-policy) and the [Chesapeake Conservancy](https://www.chesapeakeconservancy.org/)'s Conservation Innovation Center (CIC). DRCOG LULC includes 2018 data at 3.28ft (1m) resolution covering 1,000 square miles and 2020 data at 1ft resolution covering 6,000 square miles of the Denver, Colorado region. The classification data is derived from the USDA's 1m National Agricultural Imagery Program (NAIP) aerial imagery and leaf-off aerial ortho-imagery captured as part of the [Denver Regional Aerial Photography Project](https://drcog.org/services-and-resources/data-maps-and-modeling/denver-regional-aerial-photography-project) (6in resolution everywhere except the mountainous regions to the west, which are 1ft resolution).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"drcog-lulc,land-cover,land-use,naip,usda\", \"license\": \"proprietary\", \"title\": \"Denver Regional Council of Governments Land Use Land Cover\", \"missionStartDate\": \"2018-01-01T00:00:00Z\"}, \"chesapeake-lc-7\": {\"abstract\": \"A high-resolution 1-meter [land cover data product](https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-cover-data-project/) in raster format for the entire Chesapeake Bay watershed based on 2013-2014 imagery from the National Agriculture Imagery Program (NAIP). The product area encompasses over 250,000 square kilometers in New York, Pennsylvania, Maryland, Delaware, West Virginia, Virginia, and the District of Columbia. The dataset was created by the [Chesapeake Conservancy](https://www.chesapeakeconservancy.org/) [Conservation Innovation Center](https://www.chesapeakeconservancy.org/conservation-innovation-center/) for the [Chesapeake Bay Program](https://www.chesapeakebay.net/), which is a regional partnership of EPA, other federal, state, and local agencies and governments, nonprofits, and academic institutions, that leads and directs Chesapeake Bay restoration efforts. \\n\\nThe dataset is composed of a uniform set of 7 land cover classes. Additional information is available in a [User Guide](https://www.chesapeakeconservancy.org/wp-content/uploads/2020/06/Chesapeake_Conservancy_LandCover101Guide_June2020.pdf). Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"chesapeake-bay-watershed,chesapeake-conservancy,chesapeake-lc-7,land-cover\", \"license\": \"proprietary\", \"title\": \"Chesapeake Land Cover (7-class)\", \"missionStartDate\": \"2013-01-01T00:00:00Z\"}, \"chesapeake-lc-13\": {\"abstract\": \"A high-resolution 1-meter [land cover data product](https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-cover-data-project/) in raster format for the entire Chesapeake Bay watershed based on 2013-2014 imagery from the National Agriculture Imagery Program (NAIP). The product area encompasses over 250,000 square kilometers in New York, Pennsylvania, Maryland, Delaware, West Virginia, Virginia, and the District of Columbia. The dataset was created by the [Chesapeake Conservancy](https://www.chesapeakeconservancy.org/) [Conservation Innovation Center](https://www.chesapeakeconservancy.org/conservation-innovation-center/) for the [Chesapeake Bay Program](https://www.chesapeakebay.net/), which is a regional partnership of EPA, other federal, state, and local agencies and governments, nonprofits, and academic institutions, that leads and directs Chesapeake Bay restoration efforts. \\n\\nThe dataset is composed of 13 land cover classes, although not all classes are used in all areas. Additional information is available in a [User Guide](https://www.chesapeakeconservancy.org/wp-content/uploads/2020/06/Chesapeake_Conservancy_LandCover101Guide_June2020.pdf) and [Class Description](https://www.chesapeakeconservancy.org/wp-content/uploads/2020/03/LC_Class_Descriptions.pdf) document. Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"chesapeake-bay-watershed,chesapeake-conservancy,chesapeake-lc-13,land-cover\", \"license\": \"proprietary\", \"title\": \"Chesapeake Land Cover (13-class)\", \"missionStartDate\": \"2013-01-01T00:00:00Z\"}, \"chesapeake-lu\": {\"abstract\": \"A high-resolution 1-meter [land use data product](https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-use-data-project/) in raster format for the entire Chesapeake Bay watershed. The dataset was created by modifying the 2013-2014 high-resolution [land cover dataset](https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-cover-data-project/) using 13 ancillary datasets including data on zoning, land use, parcel boundaries, landfills, floodplains, and wetlands. The product area encompasses over 250,000 square kilometers in New York, Pennsylvania, Maryland, Delaware, West Virginia, Virginia, and the District of Columbia. The dataset was created by the [Chesapeake Conservancy](https://www.chesapeakeconservancy.org/) [Conservation Innovation Center](https://www.chesapeakeconservancy.org/conservation-innovation-center/) for the [Chesapeake Bay Program](https://www.chesapeakebay.net/), which is a regional partnership of EPA, other federal, state, and local agencies and governments, nonprofits, and academic institutions that leads and directs Chesapeake Bay restoration efforts.\\n\\nThe dataset is composed of 17 land use classes in Virginia and 16 classes in all other jurisdictions. Additional information is available in a land use [Class Description](https://www.chesapeakeconservancy.org/wp-content/uploads/2018/11/2013-Phase-6-Mapped-Land-Use-Definitions-Updated-PC-11302018.pdf) document. Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"chesapeake-bay-watershed,chesapeake-conservancy,chesapeake-lu,land-use\", \"license\": \"proprietary\", \"title\": \"Chesapeake Land Use\", \"missionStartDate\": \"2013-01-01T00:00:00Z\"}, \"noaa-mrms-qpe-1h-pass1\": {\"abstract\": \"The [Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation (QPE)](https://www.nssl.noaa.gov/projects/mrms/) products are seamless 1-km mosaics of precipitation accumulation covering the continental United States, Alaska, Hawaii, the Caribbean, and Guam. The products are automatically generated through integration of data from multiple radars and radar networks, surface and satellite observations, numerical weather prediction (NWP) models, and climatology. The products are updated hourly at the top of the hour.\\n\\nMRMS QPE is available as a \\\"Pass 1\\\" or \\\"Pass 2\\\" product. The Pass 1 product is available with a 60-minute latency and includes 60-65% of gauges. The Pass 2 product has a higher latency of 120 minutes, but includes 99% of gauges. The Pass 1 and Pass 2 products are broken into 1-, 3-, 6-, 12-, 24-, 48-, and 72-hour accumulation sub-products.\\n\\nThis Collection contains the **1-Hour Pass 1** sub-product, i.e., 1-hour cumulative precipitation accumulation with a 1-hour latency. The data are available in [Cloud Optimized GeoTIFF](https://www.cogeo.org/) format as well as the original source GRIB2 format files. The GRIB2 files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"caribbean,guam,mrms,noaa,noaa-mrms-qpe-1h-pass1,precipitation,qpe,united-states,weather\", \"license\": \"proprietary\", \"title\": \"NOAA MRMS QPE 1-Hour Pass 1\", \"missionStartDate\": \"2022-07-21T20:00:00Z\"}, \"noaa-mrms-qpe-1h-pass2\": {\"abstract\": \"The [Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation (QPE)](https://www.nssl.noaa.gov/projects/mrms/) products are seamless 1-km mosaics of precipitation accumulation covering the continental United States, Alaska, Hawaii, the Caribbean, and Guam. The products are automatically generated through integration of data from multiple radars and radar networks, surface and satellite observations, numerical weather prediction (NWP) models, and climatology. The products are updated hourly at the top of the hour.\\n\\nMRMS QPE is available as a \\\"Pass 1\\\" or \\\"Pass 2\\\" product. The Pass 1 product is available with a 60-minute latency and includes 60-65% of gauges. The Pass 2 product has a higher latency of 120 minutes, but includes 99% of gauges. The Pass 1 and Pass 2 products are broken into 1-, 3-, 6-, 12-, 24-, 48-, and 72-hour accumulation sub-products.\\n\\nThis Collection contains the **1-Hour Pass 2** sub-product, i.e., 1-hour cumulative precipitation accumulation with a 2-hour latency. The data are available in [Cloud Optimized GeoTIFF](https://www.cogeo.org/) format as well as the original source GRIB2 format files. The GRIB2 files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"caribbean,guam,mrms,noaa,noaa-mrms-qpe-1h-pass2,precipitation,qpe,united-states,weather\", \"license\": \"proprietary\", \"title\": \"NOAA MRMS QPE 1-Hour Pass 2\", \"missionStartDate\": \"2022-07-21T20:00:00Z\"}, \"noaa-nclimgrid-monthly\": {\"abstract\": \"The [NOAA U.S. Climate Gridded Dataset (NClimGrid)](https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00332) consists of four climate variables derived from the [Global Historical Climatology Network daily (GHCNd)](https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily) dataset: maximum temperature, minimum temperature, average temperature, and precipitation. The data is provided in 1/24 degree lat/lon (nominal 5x5 kilometer) grids for the Continental United States (CONUS). \\n\\nNClimGrid data is available in monthly and daily temporal intervals, with the daily data further differentiated as \\\"prelim\\\" (preliminary) or \\\"scaled\\\". Preliminary daily data is available within approximately three days of collection. Once a calendar month of preliminary daily data has been collected, it is scaled to match the corresponding monthly value. Monthly data is available from 1895 to the present. Daily preliminary and daily scaled data is available from 1951 to the present. \\n\\nThis Collection contains **Monthly** data. See the journal publication [\\\"Improved Historical Temperature and Precipitation Time Series for U.S. Climate Divisions\\\"](https://journals.ametsoc.org/view/journals/apme/53/5/jamc-d-13-0248.1.xml) for more information about monthly gridded data.\\n\\nUsers of all NClimGrid data product should be aware that [NOAA advertises](https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00332) that:\\n>\\\"On an annual basis, approximately one year of 'final' NClimGrid data is submitted to replace the initially supplied 'preliminary' data for the same time period. Users should be sure to ascertain which level of data is required for their research.\\\"\\n\\nThe source NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\\n*Note*: The Planetary Computer currently has STAC metadata for just the monthly collection. We'll have STAC metadata for daily data in our next release. In the meantime, you can access the daily NetCDF data directly from Blob Storage using the storage container at `https://nclimgridwesteurope.blob.core.windows.net/nclimgrid`. See https://planetarycomputer.microsoft.com/docs/concepts/data-catalog/#access-patterns for more.*\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,nclimgrid,noaa,noaa-nclimgrid-monthly,precipitation,temperature,united-states\", \"license\": \"proprietary\", \"title\": \"Monthly NOAA U.S. Climate Gridded Dataset (NClimGrid)\", \"missionStartDate\": \"1895-01-01T00:00:00Z\"}, \"goes-glm\": {\"abstract\": \"The [Geostationary Lightning Mapper (GLM)](https://www.goes-r.gov/spacesegment/glm.html) is a single-channel, near-infrared optical transient detector that can detect the momentary changes in an optical scene, indicating the presence of lightning. GLM measures total lightning (in-cloud, cloud-to-cloud and cloud-to-ground) activity continuously over the Americas and adjacent ocean regions with near-uniform spatial resolution of approximately 10 km. GLM collects information such as the frequency, location and extent of lightning discharges to identify intensifying thunderstorms and tropical cyclones. Trends in total lightning available from the GLM provide critical information to forecasters, allowing them to focus on developing severe storms much earlier and before these storms produce damaging winds, hail or even tornadoes.\\n\\nThe GLM data product consists of a hierarchy of earth-located lightning radiant energy measures including events, groups, and flashes:\\n\\n- Lightning events are detected by the instrument.\\n- Lightning groups are a collection of one or more lightning events that satisfy temporal and spatial coincidence thresholds.\\n- Similarly, lightning flashes are a collection of one or more lightning groups that satisfy temporal and spatial coincidence thresholds.\\n\\nThe product includes the relationship among lightning events, groups, and flashes, and the area coverage of lightning groups and flashes. The product also includes processing and data quality metadata, and satellite state and location information. \\n\\nThis Collection contains GLM L2 data in tabular ([GeoParquet](https://github.com/opengeospatial/geoparquet)) format and the original source NetCDF format. The NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\", \"instrument\": \"FM1,FM2\", \"platform\": \"GOES\", \"platformSerialIdentifier\": \"GOES-16,GOES-17\", \"processingLevel\": [\"L2\"], \"keywords\": \"fm1,fm2,goes,goes-16,goes-17,goes-glm,l2,lightning,nasa,noaa,satellite,weather\", \"license\": \"proprietary\", \"title\": \"GOES-R Lightning Detection\", \"missionStartDate\": \"2018-02-13T16:10:00Z\"}, \"usda-cdl\": {\"abstract\": \"The Cropland Data Layer (CDL) is a product of the USDA National Agricultural Statistics Service (NASS) with the mission \\\"to provide timely, accurate and useful statistics in service to U.S. agriculture\\\" (Johnson and Mueller, 2010, p. 1204). The CDL is a crop-specific land cover classification product of more than 100 crop categories grown in the United States. CDLs are derived using a supervised land cover classification of satellite imagery. The supervised classification relies on first manually identifying pixels within certain images, often called training sites, which represent the same crop or land cover type. Using these training sites, a spectral signature is developed for each crop type that is then used by the analysis software to identify all other pixels in the satellite image representing the same crop. Using this method, a new CDL is compiled annually and released to the public a few months after the end of the growing season.\\n\\nThis collection includes Cropland, Confidence, Cultivated, and Frequency products.\\n\\n- Cropland: Crop-specific land cover data created annually. There are currently four individual crop frequency data layers that represent four major crops: corn, cotton, soybeans, and wheat.\\n- Confidence: The predicted confidence associated with an output pixel. A value of zero indicates low confidence, while a value of 100 indicates high confidence.\\n- Cultivated: cultivated and non-cultivated land cover for CONUS based on land cover information derived from the 2017 through 2021 Cropland products.\\n- Frequency: crop specific planting frequency based on land cover information derived from the 2008 through 2021 Cropland products.\\n\\nFor more, visit the [Cropland Data Layer homepage](https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"agriculture,land-cover,land-use,united-states,usda,usda-cdl\", \"license\": \"proprietary\", \"title\": \"USDA Cropland Data Layers (CDLs)\", \"missionStartDate\": \"2008-01-01T00:00:00Z\"}, \"eclipse\": {\"abstract\": \"The [Project Eclipse](https://www.microsoft.com/en-us/research/project/project-eclipse/) Network is a low-cost air quality sensing network for cities and a research project led by the [Urban Innovation Group]( https://www.microsoft.com/en-us/research/urban-innovation-research/) at Microsoft Research.\\n\\nProject Eclipse currently includes over 100 locations in Chicago, Illinois, USA.\\n\\nThis network was deployed starting in July, 2021, through a collaboration with the City of Chicago, the Array of Things Project, JCDecaux Chicago, and the Environmental Law and Policy Center as well as local environmental justice organizations in the city. [This talk]( https://www.microsoft.com/en-us/research/video/technology-demo-project-eclipse-hyperlocal-air-quality-monitoring-for-cities/) documents the network design and data calibration strategy.\\n\\n## Storage resources\\n\\nData are stored in [Parquet](https://parquet.apache.org/) files in Azure Blob Storage in the West Europe Azure region, in the following blob container:\\n\\n`https://ai4edataeuwest.blob.core.windows.net/eclipse`\\n\\nWithin that container, the periodic occurrence snapshots are stored in `Chicago/YYYY-MM-DD`, where `YYYY-MM-DD` corresponds to the date of the snapshot.\\nEach snapshot contains a sensor readings from the next 7-days in Parquet format starting with date on the folder name YYYY-MM-DD.\\nTherefore, the data files for the first snapshot are at\\n\\n`https://ai4edataeuwest.blob.core.windows.net/eclipse/chicago/2022-01-01/data_*.parquet\\n\\nThe Parquet file schema is as described below. \\n\\n## Additional Documentation\\n\\nFor details on Calibration of Pm2.5, O3 and NO2, please see [this PDF](https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/Calibration_Doc_v1.1.pdf).\\n\\n## License and attribution\\nPlease cite: Daepp, Cabral, Ranganathan et al. (2022) [Eclipse: An End-to-End Platform for Low-Cost, Hyperlocal Environmental Sensing in Cities. ACM/IEEE Information Processing in Sensor Networks. Milan, Italy.](https://www.microsoft.com/en-us/research/uploads/prod/2022/05/ACM_2022-IPSN_FINAL_Eclipse.pdf)\\n\\n## Contact\\n\\nFor questions about this dataset, contact [`msrurbanops@microsoft.com`](mailto:msrurbanops@microsoft.com?subject=eclipse%20question) \\n\\n\\n## Learn more\\n\\nThe [Eclipse Project](https://www.microsoft.com/en-us/research/urban-innovation-research/) contains an overview of the Project Eclipse at Microsoft Research.\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"air-pollution,eclipse,pm25\", \"license\": \"proprietary\", \"title\": \"Urban Innovation Eclipse Sensor Data\", \"missionStartDate\": \"2021-01-01T00:00:00Z\"}, \"esa-cci-lc\": {\"abstract\": \"The ESA Climate Change Initiative (CCI) [Land Cover dataset](https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview) provides consistent global annual land cover maps at 300m spatial resolution from 1992 to 2020. The land cover classes are defined using the United Nations Food and Agriculture Organization's (UN FAO) [Land Cover Classification System](https://www.fao.org/land-water/land/land-governance/land-resources-planning-toolbox/category/details/en/c/1036361/) (LCCS). In addition to the land cover maps, four quality flags are produced to document the reliability of the classification and change detection. \\n\\nThe data in this Collection have been converted from the [original NetCDF data](https://planetarycomputer.microsoft.com/dataset/esa-cci-lc-netcdf) to a set of tiled [Cloud Optimized GeoTIFFs](https://www.cogeo.org/) (COGs).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cci,esa,esa-cci-lc,global,land-cover\", \"license\": \"proprietary\", \"title\": \"ESA Climate Change Initiative Land Cover Maps (Cloud Optimized GeoTIFF)\", \"missionStartDate\": \"1992-01-01T00:00:00Z\"}, \"esa-cci-lc-netcdf\": {\"abstract\": \"The ESA Climate Change Initiative (CCI) [Land Cover dataset](https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview) provides consistent global annual land cover maps at 300m spatial resolution from 1992 to 2020. The land cover classes are defined using the United Nations Food and Agriculture Organization's (UN FAO) [Land Cover Classification System](https://www.fao.org/land-water/land/land-governance/land-resources-planning-toolbox/category/details/en/c/1036361/) (LCCS). In addition to the land cover maps, four quality flags are produced to document the reliability of the classification and change detection. \\n\\nThe data in this Collection are the original NetCDF files accessed from the [Copernicus Climate Data Store](https://cds.climate.copernicus.eu/#!/home). We recommend users use the [`esa-cci-lc` Collection](planetarycomputer.microsoft.com/dataset/esa-cci-lc), which provides the data as Cloud Optimized GeoTIFFs.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cci,esa,esa-cci-lc-netcdf,global,land-cover\", \"license\": \"proprietary\", \"title\": \"ESA Climate Change Initiative Land Cover Maps (NetCDF)\", \"missionStartDate\": \"1992-01-01T00:00:00Z\"}, \"fws-nwi\": {\"abstract\": \"The Wetlands Data Layer is the product of over 45 years of work by the National Wetlands Inventory (NWI) and its collaborators and currently contains more than 35 million wetland and deepwater features. This dataset, covering the conterminous United States, Hawaii, Puerto Rico, the Virgin Islands, Guam, the major Northern Mariana Islands and Alaska, continues to grow at a rate of 50 to 100 million acres annually as data are updated.\\n\\n**NOTE:** Due to the variation in use and analysis of this data by the end user, each state's wetlands data extends beyond the state boundary. Each state includes wetlands data that intersect the 1:24,000 quadrangles that contain part of that state (1:2,000,000 source data). This allows the user to clip the data to their specific analysis datasets. Beware that two adjacent states will contain some of the same data along their borders.\\n\\nFor more information, visit the National Wetlands Inventory [homepage](https://www.fws.gov/program/national-wetlands-inventory).\\n\\n## STAC Metadata\\n\\nIn addition to the `zip` asset in every STAC item, each item has its own assets unique to its wetlands. In general, each item will have several assets, each linking to a [geoparquet](https://github.com/opengeospatial/geoparquet) asset with data for the entire region or a sub-region within that state. Use the `cloud-optimized` [role](https://github.com/radiantearth/stac-spec/blob/master/item-spec/item-spec.md#asset-roles) to select just the geoparquet assets. See the Example Notebook for more.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"fws-nwi,united-states,usfws,wetlands\", \"license\": \"proprietary\", \"title\": \"FWS National Wetlands Inventory\", \"missionStartDate\": \"2022-10-01T00:00:00Z\"}, \"usgs-lcmap-conus-v13\": {\"abstract\": \"The [Land Change Monitoring, Assessment, and Projection](https://www.usgs.gov/special-topics/lcmap) (LCMAP) product provides land cover mapping and change monitoring from the U.S. Geological Survey's [Earth Resources Observation and Science](https://www.usgs.gov/centers/eros) (EROS) Center. LCMAP's Science Products are developed by applying time-series modeling on a per-pixel basis to [Landsat Analysis Ready Data](https://www.usgs.gov/landsat-missions/landsat-us-analysis-ready-data) (ARD) using an implementation of the [Continuous Change Detection and Classification](https://doi.org/10.1016/j.rse.2014.01.011) (CCDC) algorithm. All available clear (non-cloudy) U.S. Landsat ARD observations are fit to a harmonic model to predict future Landsat-like surface reflectance. Where Landsat surface reflectance observations differ significantly from those predictions, a change is identified. Attributes of the resulting model sequences (e.g., start/end dates, residuals, model coefficients) are then used to produce a set of land surface change products and as inputs to the subsequent classification to thematic land cover. \\n\\nThis [STAC](https://stacspec.org/en) Collection contains [LCMAP CONUS Collection 1.3](https://www.usgs.gov/special-topics/lcmap/collection-13-conus-science-products), which was released in August 2022 for years 1985-2021. The data are tiled according to the Landsat ARD tile grid and consist of [Cloud Optimized GeoTIFFs](https://www.cogeo.org/) (COGs) and corresponding metadata files. Note that the provided COGs differ slightly from those in the USGS source data. They have been reprocessed to add overviews, \\\"nodata\\\" values where appropriate, and an updated projection definition.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"conus,land-cover,land-cover-change,lcmap,usgs,usgs-lcmap-conus-v13\", \"license\": \"proprietary\", \"title\": \"USGS LCMAP CONUS Collection 1.3\", \"missionStartDate\": \"1985-01-01T00:00:00Z\"}, \"usgs-lcmap-hawaii-v10\": {\"abstract\": \"The [Land Change Monitoring, Assessment, and Projection](https://www.usgs.gov/special-topics/lcmap) (LCMAP) product provides land cover mapping and change monitoring from the U.S. Geological Survey's [Earth Resources Observation and Science](https://www.usgs.gov/centers/eros) (EROS) Center. LCMAP's Science Products are developed by applying time-series modeling on a per-pixel basis to [Landsat Analysis Ready Data](https://www.usgs.gov/landsat-missions/landsat-us-analysis-ready-data) (ARD) using an implementation of the [Continuous Change Detection and Classification](https://doi.org/10.1016/j.rse.2014.01.011) (CCDC) algorithm. All available clear (non-cloudy) U.S. Landsat ARD observations are fit to a harmonic model to predict future Landsat-like surface reflectance. Where Landsat surface reflectance observations differ significantly from those predictions, a change is identified. Attributes of the resulting model sequences (e.g., start/end dates, residuals, model coefficients) are then used to produce a set of land surface change products and as inputs to the subsequent classification to thematic land cover. \\n\\nThis [STAC](https://stacspec.org/en) Collection contains [LCMAP Hawaii Collection 1.0](https://www.usgs.gov/special-topics/lcmap/collection-1-hawaii-science-products), which was released in January 2022 for years 2000-2020. The data are tiled according to the Landsat ARD tile grid and consist of [Cloud Optimized GeoTIFFs](https://www.cogeo.org/) (COGs) and corresponding metadata files. Note that the provided COGs differ slightly from those in the USGS source data. They have been reprocessed to add overviews, \\\"nodata\\\" values where appropriate, and an updated projection definition.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"hawaii,land-cover,land-cover-change,lcmap,usgs,usgs-lcmap-hawaii-v10\", \"license\": \"proprietary\", \"title\": \"USGS LCMAP Hawaii Collection 1.0\", \"missionStartDate\": \"2000-01-01T00:00:00Z\"}, \"noaa-climate-normals-tabular\": {\"abstract\": \"The [NOAA United States Climate Normals](https://www.ncei.noaa.gov/products/land-based-station/us-climate-normals) provide information about typical climate conditions for thousands of weather station locations across the United States. Normals act both as a ruler to compare current weather and as a predictor of conditions in the near future. The official normals are calculated for a uniform 30 year period, and consist of annual/seasonal, monthly, daily, and hourly averages and statistics of temperature, precipitation, and other climatological variables for each weather station. \\n\\nNOAA produces Climate Normals in accordance with the [World Meteorological Organization](https://public.wmo.int/en) (WMO), of which the United States is a member. The WMO requires each member nation to compute 30-year meteorological quantity averages at least every 30 years, and recommends an update each decade, in part to incorporate newer weather stations. The 1991\\u20132020 U.S. Climate Normals are the latest in a series of decadal normals first produced in the 1950s. \\n\\nThis Collection contains tabular weather variable data at weather station locations in GeoParquet format, converted from the source CSV files. The source NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\\nData are provided for annual/seasonal, monthly, daily, and hourly frequencies for the following time periods:\\n\\n- Legacy 30-year normals (1981\\u20132010)\\n- Supplemental 15-year normals (2006\\u20132020)\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate-normals,climatology,conus,noaa,noaa-climate-normals-tabular,surface-observations,weather\", \"license\": \"proprietary\", \"title\": \"NOAA US Tabular Climate Normals\", \"missionStartDate\": \"1981-01-01T00:00:00Z\"}, \"noaa-climate-normals-netcdf\": {\"abstract\": \"The [NOAA Gridded United States Climate Normals](https://www.ncei.noaa.gov/products/land-based-station/us-climate-normals#tab-1027) provide a continuous grid of temperature and precipitation data across the contiguous United States (CONUS). The grids are derived from NOAA's [NClimGrid dataset](https://planetarycomputer.microsoft.com/dataset/group/noaa-nclimgrid), and resolutions (nominal 5x5 kilometer) and spatial extents (CONUS) therefore match that of NClimGrid. Monthly, seasonal, and annual gridded normals are computed from simple averages of the NClimGrid data and are provided for three time-periods: 1901\\u20132020, 1991\\u20132020, and 2006\\u20132020. Daily gridded normals are smoothed for a smooth transition from one day to another and are provided for two time-periods: 1991\\u20132020, and 2006\\u20132020.\\n\\nNOAA produces Climate Normals in accordance with the [World Meteorological Organization](https://public.wmo.int/en) (WMO), of which the United States is a member. The WMO requires each member nation to compute 30-year meteorological quantity averages at least every 30 years, and recommends an update each decade, in part to incorporate newer weather stations. The 1991\\u20132020 U.S. Climate Normals are the latest in a series of decadal normals first produced in the 1950s. \\n\\nThe data in this Collection are the original NetCDF files provided by NOAA's National Centers for Environmental Information. This Collection contains gridded data for the following frequencies and time periods:\\n\\n- Annual, seasonal, and monthly normals\\n - 100-year (1901\\u20132000)\\n - 30-year (1991\\u20132020)\\n - 15-year (2006\\u20132020)\\n- Daily normals\\n - 30-year (1991\\u20132020)\\n - 15-year (2006\\u20132020)\\n\\nFor most use-cases, we recommend using the [`noaa-climate-normals-gridded`](https://planetarycomputer.microsoft.com/dataset/noaa-climate-normals-gridded) collection, which contains the same data in Cloud Optimized GeoTIFF format. The NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate-normals,climatology,conus,noaa,noaa-climate-normals-netcdf,surface-observations,weather\", \"license\": \"proprietary\", \"title\": \"NOAA US Gridded Climate Normals (NetCDF)\", \"missionStartDate\": \"1901-01-01T00:00:00Z\"}, \"noaa-climate-normals-gridded\": {\"abstract\": \"The [NOAA Gridded United States Climate Normals](https://www.ncei.noaa.gov/products/land-based-station/us-climate-normals#tab-1027) provide a continuous grid of temperature and precipitation data across the contiguous United States (CONUS). The grids are derived from NOAA's [NClimGrid dataset](https://planetarycomputer.microsoft.com/dataset/group/noaa-nclimgrid), and resolutions (nominal 5x5 kilometer) and spatial extents (CONUS) therefore match that of NClimGrid. Monthly, seasonal, and annual gridded normals are computed from simple averages of the NClimGrid data and are provided for three time-periods: 1901\\u20132020, 1991\\u20132020, and 2006\\u20132020. Daily gridded normals are smoothed for a smooth transition from one day to another and are provided for two time-periods: 1991\\u20132020, and 2006\\u20132020.\\n\\nNOAA produces Climate Normals in accordance with the [World Meteorological Organization](https://public.wmo.int/en) (WMO), of which the United States is a member. The WMO requires each member nation to compute 30-year meteorological quantity averages at least every 30 years, and recommends an update each decade, in part to incorporate newer weather stations. The 1991\\u20132020 U.S. Climate Normals are the latest in a series of decadal normals first produced in the 1950s. \\n\\nThis Collection contains gridded data for the following frequencies and time periods:\\n\\n- Annual, seasonal, and monthly normals\\n - 100-year (1901\\u20132000)\\n - 30-year (1991\\u20132020)\\n - 15-year (2006\\u20132020)\\n- Daily normals\\n - 30-year (1991\\u20132020)\\n - 15-year (2006\\u20132020)\\n\\nThe data in this Collection have been converted from the original NetCDF format to Cloud Optimized GeoTIFFs (COGs). The source NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\\n## STAC Metadata\\n\\nThe STAC items in this collection contain several custom fields that can be used to further filter the data.\\n\\n* `noaa_climate_normals:period`: Climate normal time period. This can be \\\"1901-2000\\\", \\\"1991-2020\\\", or \\\"2006-2020\\\".\\n* `noaa_climate_normals:frequency`: Climate normal temporal interval (frequency). This can be \\\"daily\\\", \\\"monthly\\\", \\\"seasonal\\\" , or \\\"annual\\\"\\n* `noaa_climate_normals:time_index`: Time step index, e.g., month of year (1-12).\\n\\nThe `description` field of the assets varies by frequency. Using `prcp_norm` as an example, the descriptions are\\n\\n* annual: \\\"Annual precipitation normals from monthly precipitation normal values\\\"\\n* seasonal: \\\"Seasonal precipitation normals (WSSF) from monthly normals\\\"\\n* monthly: \\\"Monthly precipitation normals from monthly precipitation values\\\"\\n* daily: \\\"Precipitation normals from daily averages\\\"\\n\\nCheck the assets on individual items for the appropriate description.\\n\\nThe STAC keys for most assets consist of two abbreviations. A \\\"variable\\\":\\n\\n\\n| Abbreviation | Description |\\n| ------------ | ---------------------------------------- |\\n| prcp | Precipitation over the time period |\\n| tavg | Mean temperature over the time period |\\n| tmax | Maximum temperature over the time period |\\n| tmin | Minimum temperature over the time period |\\n\\nAnd an \\\"aggregation\\\":\\n\\n| Abbreviation | Description |\\n| ------------ | ------------------------------------------------------------------------------ |\\n| max | Maximum of the variable over the time period |\\n| min | Minimum of the variable over the time period |\\n| std | Standard deviation of the value over the time period |\\n| flag | An count of the number of inputs (months, years, etc.) to calculate the normal |\\n| norm | The normal for the variable over the time period |\\n\\nSo, for example, `prcp_max` for monthly data is the \\\"Maximum values of all input monthly precipitation normal values\\\".\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate-normals,climatology,conus,noaa,noaa-climate-normals-gridded,surface-observations,weather\", \"license\": \"proprietary\", \"title\": \"NOAA US Gridded Climate Normals (Cloud-Optimized GeoTIFF)\", \"missionStartDate\": \"1901-01-01T00:00:00Z\"}, \"aster-l1t\": {\"abstract\": \"The [ASTER](https://terra.nasa.gov/about/terra-instruments/aster) instrument, launched on-board NASA's [Terra](https://terra.nasa.gov/) satellite in 1999, provides multispectral images of the Earth at 15m-90m resolution. ASTER images provide information about land surface temperature, color, elevation, and mineral composition.\\n\\nThis dataset represents ASTER [L1T](https://lpdaac.usgs.gov/products/ast_l1tv003/) data from 2000-2006. L1T images have been terrain-corrected and rotated to a north-up UTM projection. Images are in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\", \"instrument\": \"aster\", \"platform\": null, \"platformSerialIdentifier\": \"terra\", \"processingLevel\": null, \"keywords\": \"aster,aster-l1t,global,nasa,satellite,terra,usgs\", \"license\": \"proprietary\", \"title\": \"ASTER L1T\", \"missionStartDate\": \"2000-03-04T12:00:00Z\"}, \"cil-gdpcir-cc-by-sa\": {\"abstract\": \"The World Climate Research Programme's [6th Coupled Model Intercomparison Project (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) represents an enormous advance in the quality, detail, and scope of climate modeling.\\n\\nThe [Global Downscaled Projections for Climate Impacts Research](https://github.com/ClimateImpactLab/downscaleCMIP6) dataset makes this modeling more applicable to understanding the impacts of changes in the climate on humans and society with two key developments: trend-preserving bias correction and downscaling. In this dataset, the [Climate Impact Lab](https://impactlab.org) provides global, daily minimum and maximum air temperature at the surface (`tasmin` and `tasmax`) and daily cumulative surface precipitation (`pr`) corresponding to the CMIP6 historical, ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 scenarios for 25 global climate models on a 1/4-degree regular global grid.\\n\\n## Accessing the data\\n\\nGDPCIR data can be accessed on the Microsoft Planetary Computer. The dataset is made of of three collections, distinguished by data license:\\n* [Public domain (CC0-1.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0)\\n* [Attribution (CC BY 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by)\\n* [Attribution-ShareAlike (CC BY SA 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by-sa)\\n\\nEach modeling center with bias corrected and downscaled data in this collection falls into one of these license categories - see the [table below](/dataset/cil-gdpcir-cc-by-sa#available-institutions-models-and-scenarios-by-license-collection) to see which model is in each collection, and see the section below on [Citing, Licensing, and using data produced by this project](/dataset/cil-gdpcir-cc-by-sa#citing-licensing-and-using-data-produced-by-this-project) for citations and additional information about each license.\\n\\n## Data format & contents\\n\\nThe data is stored as partitioned zarr stores (see [https://zarr.readthedocs.io](https://zarr.readthedocs.io)), each of which includes thousands of data and metadata files covering the full time span of the experiment. Historical zarr stores contain just over 50 GB, while SSP zarr stores contain nearly 70GB. Each store is stored as a 32-bit float, with dimensions time (daily datetime), lat (float latitude), and lon (float longitude). The data is chunked at each interval of 365 days and 90 degree interval of latitude and longitude. Therefore, each chunk is `(365, 360, 360)`, with each chunk occupying approximately 179MB in memory.\\n\\nHistorical data is daily, excluding leap days, from Jan 1, 1950 to Dec 31, 2014; SSP data is daily, excluding leap days, from Jan 1, 2015 to either Dec 31, 2099 or Dec 31, 2100, depending on data availability in the source GCM.\\n\\nThe spatial domain covers all 0.25-degree grid cells, indexed by the grid center, with grid edges on the quarter-degree, using a -180 to 180 longitude convention. Thus, the \\u201clon\\u201d coordinate extends from -179.875 to 179.875, and the \\u201clat\\u201d coordinate extends from -89.875 to 89.875, with intermediate values at each 0.25-degree increment between (e.g. -179.875, -179.625, -179.375, etc).\\n\\n## Available institutions, models, and scenarios by license collection\\n\\n| Modeling institution | Source model | Available experiments | License collection |\\n| -------------------- | ----------------- | ------------------------------------------ | ---------------------- |\\n| CAS | FGOALS-g3 [^1] | SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM4-8 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM5-0 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| BCC | BCC-CSM2-MR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| CMCC | CMCC-CM2-SR5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40] |\\n| CMCC | CMCC-ESM2 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40] |\\n| CSIRO-ARCCSS | ACCESS-CM2 | SSP2-4.5 and SSP3-7.0 | CC-BY-40] |\\n| CSIRO | ACCESS-ESM1-5 | SSP1-2.6, SSP2-4.5, and SSP3-7.0 | CC-BY-40] |\\n| MIROC | MIROC-ES2L | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MIROC | MIROC6 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MOHC | HadGEM3-GC31-LL | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40] |\\n| MOHC | UKESM1-0-LL | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MPI-M | MPI-ESM1-2-LR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MPI-M/DKRZ [^2] | MPI-ESM1-2-HR | SSP1-2.6 and SSP5-8.5 | CC-BY-40] |\\n| NCC | NorESM2-LM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| NCC | NorESM2-MM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| NOAA-GFDL | GFDL-CM4 | SSP2-4.5 and SSP5-8.5 | CC-BY-40] |\\n| NOAA-GFDL | GFDL-ESM4 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| NUIST | NESM3 | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3 | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3-AerChem | ssp370 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3-CC | ssp245 and ssp585 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3-Veg | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3-Veg-LR | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40] |\\n| CCCma | CanESM5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-SA-40] |\\n\\n*Notes:*\\n\\n[^1]: At the time of running, no ssp1-2.6 precipitation data was available. Therefore, we provide `tasmin` and `tamax` for this model and experiment, but not `pr`. All other model/experiment combinations in the above table include all three variables.\\n\\n[^2]: The institution which ran MPI-ESM1-2-HR\\u2019s historical (CMIP) simulations is `MPI-M`, while the future (ScenarioMIP) simulations were run by `DKRZ`. Therefore, the institution component of `MPI-ESM1-2-HR` filepaths differ between `historical` and `SSP` scenarios.\\n\\n## Project methods\\n\\nThis project makes use of statistical bias correction and downscaling algorithms, which are specifically designed to accurately represent changes in the extremes. For this reason, we selected Quantile Delta Mapping (QDM), following the method introduced by [Cannon et al. (2015)](https://doi.org/10.1175/JCLI-D-14-00754.1), which preserves quantile-specific trends from the GCM while fitting the full distribution for a given day-of-year to a reference dataset (ERA5).\\n\\nWe then introduce a similar method tailored to increase spatial resolution while preserving extreme behavior, Quantile-Preserving Localized-Analog Downscaling (QPLAD).\\n\\nTogether, these methods provide a robust means to handle both the central and tail behavior seen in climate model output, while aligning the full distribution to a state-of-the-art reanalysis dataset and providing the spatial granularity needed to study surface impacts.\\n\\nFor further documentation, see [Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts](https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1513/) (EGUsphere, 2022 [preprint]).\\n\\n## Citing, licensing, and using data produced by this project\\n\\nProjects making use of the data produced as part of the Climate Impact Lab Global Downscaled Projections for Climate Impacts Research (CIL GDPCIR) project are requested to cite both this project and the source datasets from which these results are derived. Additionally, the use of data derived from some GCMs *requires* citations, and some modeling centers impose licensing restrictions & requirements on derived works. See each GCM's license info in the links below for more information.\\n\\n### CIL GDPCIR\\n\\nUsers are requested to cite this project in derived works. Our method documentation paper may be cited using the following:\\n\\n> Gergel, D. R., Malevich, S. B., McCusker, K. E., Tenezakis, E., Delgado, M. T., Fish, M. A., and Kopp, R. E.: Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1513, 2023. \\n\\nThe code repository may be cited using the following:\\n\\n> Diana Gergel, Kelly McCusker, Brewster Malevich, Emile Tenezakis, Meredith Fish, Michael Delgado (2022). ClimateImpactLab/downscaleCMIP6: (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6403794\\n\\n### ERA5\\n\\nAdditionally, we request you cite the historical dataset used in bias correction and downscaling, ERA5. See the [ECMWF guide to citing a dataset on the Climate Data Store](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it):\\n\\n> Hersbach, H, et al. The ERA5 global reanalysis. Q J R Meteorol Soc.2020; 146: 1999\\u20132049. DOI: [10.1002/qj.3803](https://doi.org/10.1002/qj.3803)\\n>\\n> Mu\\u00f1oz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n>\\n> Mu\\u00f1oz Sabater, J., (2021): ERA5-Land hourly data from 1950 to 1980. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n\\n### GCM-specific citations & licenses\\n\\nThe CMIP6 simulation data made available through the Earth System Grid Federation (ESGF) are subject to Creative Commons [BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) or [BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) licenses. The Climate Impact Lab has reached out to each of the modeling institutions to request waivers from these terms so the outputs of this project may be used with fewer restrictions, and has been granted permission to release the data using the licenses listed here.\\n\\n#### Public Domain Datasets\\n\\nThe following bias corrected and downscaled model simulations are available in the public domain using a [CC0 1.0 Universal Public Domain Declaration](https://creativecommons.org/publicdomain/zero/1.0/). Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0.\\n\\n* **FGOALS-g3**\\n\\n License description: [data_licenses/FGOALS-g3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/FGOALS-g3.txt)\\n\\n CMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 CMIP*. Version 20190826. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1783\\n\\n ScenarioMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190818; SSP2-4.5 version 20190818; SSP3-7.0 version 20190820; SSP5-8.5 tasmax version 20190819; SSP5-8.5 tasmin version 20190819; SSP5-8.5 pr version 20190818. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2056\\n\\n\\n* **INM-CM4-8**\\n\\n License description: [data_licenses/INM-CM4-8.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM4-8.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 CMIP*. Version 20190530. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 ScenarioMIP*. Version 20190603. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12321\\n\\n\\n* **INM-CM5-0**\\n\\n License description: [data_licenses/INM-CM5-0.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM5-0.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 CMIP*. Version 20190610. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1423\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190619; SSP2-4.5 version 20190619; SSP3-7.0 version 20190618; SSP5-8.5 version 20190724. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12322\\n\\n\\n#### CC-BY-4.0\\n\\nThe following bias corrected and downscaled model simulations are licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Note that this license requires citation of the source model output (included here). Please see https://creativecommons.org/licenses/by/4.0/ for more information. Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by.\\n\\n* **ACCESS-CM2**\\n\\n License description: [data_licenses/ACCESS-CM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-CM2.txt)\\n\\n CMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2281\\n\\n ScenarioMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2285\\n\\n\\n* **ACCESS-ESM1-5**\\n\\n License description: [data_licenses/ACCESS-ESM1-5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-ESM1-5.txt)\\n\\n CMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 CMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2288\\n\\n ScenarioMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 ScenarioMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2291\\n\\n\\n* **BCC-CSM2-MR**\\n\\n License description: [data_licenses/BCC-CSM2-MR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/BCC-CSM2-MR.txt)\\n\\n CMIP Citation:\\n\\n > Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen; Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2018)**. *BCC BCC-CSM2MR model output prepared for CMIP6 CMIP*. Version 20181126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1725\\n\\n ScenarioMIP Citation:\\n\\n > Xin, Xiaoge; Wu, Tongwen; Shi, Xueli; Zhang, Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2019)**. *BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190315; SSP2-4.5 version 20190318; SSP3-7.0 version 20190318; SSP5-8.5 version 20190318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1732\\n\\n\\n* **CMCC-CM2-SR5**\\n\\n License description: [data_licenses/CMCC-CM2-SR5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-CM2-SR5.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 CMIP*. Version 20200616. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1362\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200717; SSP2-4.5 version 20200617; SSP3-7.0 version 20200622; SSP5-8.5 version 20200622. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1365\\n\\n\\n* **CMCC-ESM2**\\n\\n License description: [data_licenses/CMCC-ESM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-ESM2.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP*. Version 20210114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13164\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20210126; SSP2-4.5 version 20210129; SSP3-7.0 version 20210202; SSP5-8.5 version 20210126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13168\\n\\n\\n* **EC-Earth3-AerChem**\\n\\n License description: [data_licenses/EC-Earth3-AerChem.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-AerChem.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 CMIP*. Version 20200624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.639\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP*. Version 20200827. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.724\\n\\n\\n* **EC-Earth3-CC**\\n\\n License description: [data_licenses/EC-Earth3-CC.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-CC.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 CMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.640\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2021)**. *EC-Earth-Consortium EC-Earth3-CC model output prepared for CMIP6 ScenarioMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.15327\\n\\n\\n* **EC-Earth3-Veg-LR**\\n\\n License description: [data_licenses/EC-Earth3-Veg-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg-LR.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 CMIP*. Version 20200217. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.643\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20201201; SSP2-4.5 version 20201123; SSP3-7.0 version 20201123; SSP5-8.5 version 20201201. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.728\\n\\n\\n* **EC-Earth3-Veg**\\n\\n License description: [data_licenses/EC-Earth3-Veg.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 CMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.642\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.727\\n\\n\\n* **EC-Earth3**\\n\\n License description: [data_licenses/EC-Earth3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 CMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.181\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 ScenarioMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.251\\n\\n\\n* **GFDL-CM4**\\n\\n License description: [data_licenses/GFDL-CM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-CM4.txt)\\n\\n CMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne, Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1402\\n\\n ScenarioMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, Chris; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9242\\n\\n\\n* **GFDL-ESM4**\\n\\n License description: [data_licenses/GFDL-ESM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-ESM4.txt)\\n\\n CMIP Citation:\\n\\n > Krasting, John P.; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael; Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP*. Version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1407\\n\\n ScenarioMIP Citation:\\n\\n > John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne, John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers, Levi; Stock, Charles; Winton, Michael; Zeng, Yujin **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1414\\n\\n\\n* **HadGEM3-GC31-LL**\\n\\n License description: [data_licenses/HadGEM3-GC31-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/HadGEM3-GC31-LL.txt)\\n\\n CMIP Citation:\\n\\n > Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till; Andrews, Martin; Andrews, Tim **(2018)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP*. Version 20190624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.419\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter **(2019)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200114; SSP2-4.5 version 20190908; SSP5-8.5 version 20200114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10845\\n\\n\\n* **MIROC-ES2L**\\n\\n License description: [data_licenses/MIROC-ES2L.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC-ES2L.txt)\\n\\n CMIP Citation:\\n\\n > Hajima, Tomohiro; Abe, Manabu; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogura, Tomoo; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio; Tachiiri, Kaoru **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 CMIP*. Version 20191129. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.902\\n\\n ScenarioMIP Citation:\\n\\n > Tachiiri, Kaoru; Abe, Manabu; Hajima, Tomohiro; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP*. Version 20200318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.936\\n\\n\\n* **MIROC6**\\n\\n License description: [data_licenses/MIROC6.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC6.txt)\\n\\n CMIP Citation:\\n\\n > Tatebe, Hiroaki; Watanabe, Masahiro **(2018)**. *MIROC MIROC6 model output prepared for CMIP6 CMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.881\\n\\n ScenarioMIP Citation:\\n\\n > Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki **(2019)**. *MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898\\n\\n\\n* **MPI-ESM1-2-HR**\\n\\n License description: [data_licenses/MPI-ESM1-2-HR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-HR.txt)\\n\\n CMIP Citation:\\n\\n > Jungclaus, Johann; Bittner, Matthias; Wieners, Karl-Hermann; Wachsmann, Fabian; Schupfner, Martin; Legutke, Stephanie; Giorgetta, Marco; Reick, Christian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Esch, Monika; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-HR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.741\\n\\n ScenarioMIP Citation:\\n\\n > Schupfner, Martin; Wieners, Karl-Hermann; Wachsmann, Fabian; Steger, Christian; Bittner, Matthias; Jungclaus, Johann; Fr\\u00fch, Barbara; Pankatz, Klaus; Giorgetta, Marco; Reick, Christian; Legutke, Stephanie; Esch, Monika; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *DKRZ MPI-ESM1.2-HR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2450\\n\\n\\n* **MPI-ESM1-2-LR**\\n\\n License description: [data_licenses/MPI-ESM1-2-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-LR.txt)\\n\\n CMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Legutke, Stephanie; Schupfner, Martin; Wachsmann, Fabian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.742\\n\\n ScenarioMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.793\\n\\n\\n* **NESM3**\\n\\n License description: [data_licenses/NESM3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NESM3.txt)\\n\\n CMIP Citation:\\n\\n > Cao, Jian; Wang, Bin **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 CMIP*. Version 20190812. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2021\\n\\n ScenarioMIP Citation:\\n\\n > Cao, Jian **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190806; SSP2-4.5 version 20190805; SSP5-8.5 version 20190811. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2027\\n\\n\\n* **NorESM2-LM**\\n\\n License description: [data_licenses/NorESM2-LM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-LM.txt)\\n\\n CMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 CMIP*. Version 20190815. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.502\\n\\n ScenarioMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.604\\n\\n\\n* **NorESM2-MM**\\n\\n License description: [data_licenses/NorESM2-MM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-MM.txt)\\n\\n CMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.506\\n\\n ScenarioMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.608\\n\\n\\n* **UKESM1-0-LL**\\n\\n License description: [data_licenses/UKESM1-0-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/UKESM1-0-LL.txt)\\n\\n CMIP Citation:\\n\\n > Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Mulcahy, Jane; Sellar, Alistair; Walton, Jeremy; Jones, Colin **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP*. Version 20190627. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1569\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter; Sellar, Alistair; Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Kuhlbrodt, Till; Walton, Jeremy **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190708; SSP2-4.5 version 20190715; SSP3-7.0 version 20190726; SSP5-8.5 version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1567\\n\\n\\n#### CC-BY-SA-4.0\\n\\nThe following bias corrected and downscaled model simulations are licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/). Note that this license requires citation of the source model output (included here) and requires that derived works be shared under the same license. Please see https://creativecommons.org/licenses/by-sa/4.0/ for more information. Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by-sa.\\n\\n* **CanESM5**\\n\\n License description: [data_licenses/CanESM5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CanESM5.txt)\\n\\n CMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 CMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1303\\n\\n ScenarioMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317\\n\\n## Acknowledgements\\n\\nThis work is the result of many years worth of work by members of the [Climate Impact Lab](https://impactlab.org), but would not have been possible without many contributions from across the wider scientific and computing communities.\\n\\nSpecifically, we would like to acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP, and we would like to thank the climate modeling groups for producing and making their model output available. We would particularly like to thank the modeling institutions whose results are included as an input to this repository (listed above) for their contributions to the CMIP6 project and for responding to and granting our requests for license waivers.\\n\\nWe would also like to thank Lamont-Doherty Earth Observatory, the [Pangeo Consortium](https://github.com/pangeo-data) (and especially the [ESGF Cloud Data Working Group](https://pangeo-data.github.io/pangeo-cmip6-cloud/#)) and Google Cloud and the Google Public Datasets program for making the [CMIP6 Google Cloud collection](https://console.cloud.google.com/marketplace/details/noaa-public/cmip6) possible. In particular we're extremely grateful to [Ryan Abernathey](https://github.com/rabernat), [Naomi Henderson](https://github.com/naomi-henderson), [Charles Blackmon-Luca](https://github.com/charlesbluca), [Aparna Radhakrishnan](https://github.com/aradhakrishnanGFDL), [Julius Busecke](https://github.com/jbusecke), and [Charles Stern](https://github.com/cisaacstern) for the huge amount of work they've done to translate the ESGF CMIP6 netCDF archives into consistently-formattted, analysis-ready zarr stores on Google Cloud.\\n\\nWe're also grateful to the [xclim developers](https://github.com/Ouranosinc/xclim/graphs/contributors) ([DOI: 10.5281/zenodo.2795043](https://doi.org/10.5281/zenodo.2795043)), in particular [Pascal Bourgault](https://github.com/aulemahal), [David Huard](https://github.com/huard), and [Travis Logan](https://github.com/tlogan2000), for implementing the QDM bias correction method in the xclim python package, supporting our QPLAD implementation into the package, and ongoing support in integrating dask into downscaling workflows. For method advice and useful conversations, we would like to thank Keith Dixon, Dennis Adams-Smith, and [Joe Hamman](https://github.com/jhamman).\\n\\n## Financial support\\n\\nThis research has been supported by The Rockefeller Foundation and the Microsoft AI for Earth Initiative.\\n\\n## Additional links:\\n\\n* CIL GDPCIR project homepage: [github.com/ClimateImpactLab/downscaleCMIP6](https://github.com/ClimateImpactLab/downscaleCMIP6)\\n* Project listing on zenodo: https://doi.org/10.5281/zenodo.6403794\\n* Climate Impact Lab homepage: [impactlab.org](https://impactlab.org)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cil-gdpcir-cc-by-sa,climate-impact-lab,cmip6,precipitation,rhodium-group,temperature\", \"license\": \"CC-BY-SA-4.0\", \"title\": \"CIL Global Downscaled Projections for Climate Impacts Research (CC-BY-SA-4.0)\", \"missionStartDate\": \"1950-01-01T00:00:00Z\"}, \"io-lulc-9-class\": {\"abstract\": \"Time series of annual global maps of land use and land cover (LULC). It currently has data from 2017-2022. The maps are derived from ESA Sentinel-2 imagery at 10m resolution. Each map is a composite of LULC predictions for 9 classes throughout the year in order to generate a representative snapshot of each year.\\n\\nThis dataset was generated by [Impact Observatory](http://impactobservatory.com/), who used billions of human-labeled pixels (curated by the National Geographic Society) to train a deep learning model for land classification. The global map was produced by applying this model to the Sentinel-2 annual scene collections on the Planetary Computer. Each of the maps has an assessed average accuracy of over 75%.\\n\\nThis map uses an updated model from the [10-class model](https://planetarycomputer.microsoft.com/dataset/io-lulc) and combines Grass(formerly class 3) and Scrub (formerly class 6) into a single Rangeland class (class 11). The original Esri 2020 Land Cover collection uses 10 classes (Grass and Scrub separate) and an older version of the underlying deep learning model. The Esri 2020 Land Cover map was also produced by Impact Observatory. The map remains available for use in existing applications. New applications should use the updated version of 2020 once it is available in this collection, especially when using data from multiple years of this time series, to ensure consistent classification.\\n\\nAll years are available under a Creative Commons BY-4.0.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"global,io-lulc-9-class,land-cover,land-use,sentinel\", \"license\": \"CC-BY-4.0\", \"title\": \"10m Annual Land Use Land Cover (9-class)\", \"missionStartDate\": \"2017-01-01T00:00:00Z\"}, \"io-biodiversity\": {\"abstract\": \"Generated by [Impact Observatory](https://www.impactobservatory.com/), in collaboration with [Vizzuality](https://www.vizzuality.com/), these datasets estimate terrestrial Biodiversity Intactness as 100-meter gridded maps for the years 2017-2020.\\n\\nMaps depicting the intactness of global biodiversity have become a critical tool for spatial planning and management, monitoring the extent of biodiversity across Earth, and identifying critical remaining intact habitat. Yet, these maps are often years out of date by the time they are available to scientists and policy-makers. The datasets in this STAC Collection build on past studies that map Biodiversity Intactness using the [PREDICTS database](https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.2579) of spatially referenced observations of biodiversity across 32,000 sites from over 750 studies. The approach differs from previous work by modeling the relationship between observed biodiversity metrics and contemporary, global, geospatial layers of human pressures, with the intention of providing a high resolution monitoring product into the future.\\n\\nBiodiversity intactness is estimated as a combination of two metrics: Abundance, the quantity of individuals, and Compositional Similarity, how similar the composition of species is to an intact baseline. Linear mixed effects models are fit to estimate the predictive capacity of spatial datasets of human pressures on each of these metrics and project results spatially across the globe. These methods, as well as comparisons to other leading datasets and guidance on interpreting results, are further explained in a methods [white paper](https://ai4edatasetspublicassets.blob.core.windows.net/assets/pdfs/io-biodiversity/Biodiversity_Intactness_whitepaper.pdf) entitled \\u201cGlobal 100m Projections of Biodiversity Intactness for the years 2017-2020.\\u201d\\n\\nAll years are available under a Creative Commons BY-4.0 license.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biodiversity,global,io-biodiversity\", \"license\": \"CC-BY-4.0\", \"title\": \"Biodiversity Intactness\", \"missionStartDate\": \"2017-01-01T00:00:00Z\"}, \"naip\": {\"abstract\": \"The [National Agriculture Imagery Program](https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/) (NAIP) provides U.S.-wide, high-resolution aerial imagery, with four spectral bands (R, G, B, IR). NAIP is administered by the [Aerial Field Photography Office](https://www.fsa.usda.gov/programs-and-services/aerial-photography/) (AFPO) within the [US Department of Agriculture](https://www.usda.gov/) (USDA). Data are captured at least once every three years for each state. This dataset represents NAIP data from 2010-present, in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"aerial,afpo,agriculture,imagery,naip,united-states,usda\", \"license\": \"proprietary\", \"title\": \"NAIP: National Agriculture Imagery Program\", \"missionStartDate\": \"2010-01-01T00:00:00Z\"}, \"noaa-cdr-sea-surface-temperature-whoi\": {\"abstract\": \"The Sea Surface Temperature-Woods Hole Oceanographic Institution (WHOI) Climate Data Record (CDR) is one of three CDRs which combine to form the NOAA Ocean Surface Bundle (OSB) CDR. The resultant sea surface temperature (SST) data are produced through modeling the diurnal variability in combination with AVHRR SST observations. The final record is output to a 3-hourly 0.25\\u00b0 resolution grid over the global ice-free oceans from January 1988\\u2014present.\\n\\nThese Cloud Optimized GeoTIFFs (COGs) were created from NetCDF files which are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\nFor the NetCDF files, see collection `noaa-cdr-sea-surface-temperature-whoi-netcdf`.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-sea-surface-temperature-whoi,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Sea Surface Temperature - WHOI CDR\", \"missionStartDate\": \"1988-01-01T00:00:00Z\"}, \"noaa-cdr-ocean-heat-content\": {\"abstract\": \"The Ocean Heat Content Climate Data Record (CDR) is a set of ocean heat content anomaly (OHCA) time-series for 1955-present on 3-monthly, yearly, and pentadal (five-yearly) scales. This CDR quantifies ocean heat content change over time, which is an essential metric for understanding climate change and the Earth's energy budget. It provides time-series for multiple depth ranges in the global ocean and each of the major basins (Atlantic, Pacific, and Indian) divided by hemisphere (Northern, Southern).\\n\\nThese Cloud Optimized GeoTIFFs (COGs) were created from NetCDF files which are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\nFor the NetCDF files, see collection `noaa-cdr-ocean-heat-content-netcdf`.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-ocean-heat-content,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Global Ocean Heat Content CDR\", \"missionStartDate\": \"1972-03-01T00:00:00Z\"}, \"cil-gdpcir-cc0\": {\"abstract\": \"The World Climate Research Programme's [6th Coupled Model Intercomparison Project (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) represents an enormous advance in the quality, detail, and scope of climate modeling.\\n\\nThe [Global Downscaled Projections for Climate Impacts Research](https://github.com/ClimateImpactLab/downscaleCMIP6) dataset makes this modeling more applicable to understanding the impacts of changes in the climate on humans and society with two key developments: trend-preserving bias correction and downscaling. In this dataset, the [Climate Impact Lab](https://impactlab.org) provides global, daily minimum and maximum air temperature at the surface (`tasmin` and `tasmax`) and daily cumulative surface precipitation (`pr`) corresponding to the CMIP6 historical, ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 scenarios for 25 global climate models on a 1/4-degree regular global grid.\\n\\n## Accessing the data\\n\\nGDPCIR data can be accessed on the Microsoft Planetary Computer. The dataset is made of of three collections, distinguished by data license:\\n* [Public domain (CC0-1.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0)\\n* [Attribution (CC BY 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by)\\n\\nEach modeling center with bias corrected and downscaled data in this collection falls into one of these license categories - see the [table below](/dataset/cil-gdpcir-cc0#available-institutions-models-and-scenarios-by-license-collection) to see which model is in each collection, and see the section below on [Citing, Licensing, and using data produced by this project](/dataset/cil-gdpcir-cc0#citing-licensing-and-using-data-produced-by-this-project) for citations and additional information about each license.\\n\\n## Data format & contents\\n\\nThe data is stored as partitioned zarr stores (see [https://zarr.readthedocs.io](https://zarr.readthedocs.io)), each of which includes thousands of data and metadata files covering the full time span of the experiment. Historical zarr stores contain just over 50 GB, while SSP zarr stores contain nearly 70GB. Each store is stored as a 32-bit float, with dimensions time (daily datetime), lat (float latitude), and lon (float longitude). The data is chunked at each interval of 365 days and 90 degree interval of latitude and longitude. Therefore, each chunk is `(365, 360, 360)`, with each chunk occupying approximately 180MB in memory.\\n\\nHistorical data is daily, excluding leap days, from Jan 1, 1950 to Dec 31, 2014; SSP data is daily, excluding leap days, from Jan 1, 2015 to either Dec 31, 2099 or Dec 31, 2100, depending on data availability in the source GCM.\\n\\nThe spatial domain covers all 0.25-degree grid cells, indexed by the grid center, with grid edges on the quarter-degree, using a -180 to 180 longitude convention. Thus, the \\u201clon\\u201d coordinate extends from -179.875 to 179.875, and the \\u201clat\\u201d coordinate extends from -89.875 to 89.875, with intermediate values at each 0.25-degree increment between (e.g. -179.875, -179.625, -179.375, etc).\\n\\n## Available institutions, models, and scenarios by license collection\\n\\n| Modeling institution | Source model | Available experiments | License collection |\\n| -------------------- | ----------------- | ------------------------------------------ | ---------------------- |\\n| CAS | FGOALS-g3 [^1] | SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM4-8 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM5-0 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| BCC | BCC-CSM2-MR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| CMCC | CMCC-CM2-SR5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n| CMCC | CMCC-ESM2 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n| CSIRO-ARCCSS | ACCESS-CM2 | SSP2-4.5 and SSP3-7.0 | CC-BY-40 |\\n| CSIRO | ACCESS-ESM1-5 | SSP1-2.6, SSP2-4.5, and SSP3-7.0 | CC-BY-40 |\\n| MIROC | MIROC-ES2L | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MIROC | MIROC6 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MOHC | HadGEM3-GC31-LL | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40 |\\n| MOHC | UKESM1-0-LL | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M | MPI-ESM1-2-LR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M/DKRZ [^2] | MPI-ESM1-2-HR | SSP1-2.6 and SSP5-8.5 | CC-BY-40 |\\n| NCC | NorESM2-LM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NCC | NorESM2-MM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL | GFDL-CM4 | SSP2-4.5 and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL | GFDL-ESM4 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NUIST | NESM3 | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3 | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-AerChem | ssp370 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-CC | ssp245 and ssp585 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-Veg | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-Veg-LR | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| CCCma | CanESM5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40[^3] |\\n\\n*Notes:*\\n\\n[^1]: At the time of running, no ssp1-2.6 precipitation data was available. Therefore, we provide `tasmin` and `tamax` for this model and experiment, but not `pr`. All other model/experiment combinations in the above table include all three variables.\\n\\n[^2]: The institution which ran MPI-ESM1-2-HR\\u2019s historical (CMIP) simulations is `MPI-M`, while the future (ScenarioMIP) simulations were run by `DKRZ`. Therefore, the institution component of `MPI-ESM1-2-HR` filepaths differ between `historical` and `SSP` scenarios.\\n\\n[^3]: This dataset was previously licensed as [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/), but was relicensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0) in March, 2023. \\n\\n## Project methods\\n\\nThis project makes use of statistical bias correction and downscaling algorithms, which are specifically designed to accurately represent changes in the extremes. For this reason, we selected Quantile Delta Mapping (QDM), following the method introduced by [Cannon et al. (2015)](https://doi.org/10.1175/JCLI-D-14-00754.1), which preserves quantile-specific trends from the GCM while fitting the full distribution for a given day-of-year to a reference dataset (ERA5).\\n\\nWe then introduce a similar method tailored to increase spatial resolution while preserving extreme behavior, Quantile-Preserving Localized-Analog Downscaling (QPLAD).\\n\\nTogether, these methods provide a robust means to handle both the central and tail behavior seen in climate model output, while aligning the full distribution to a state-of-the-art reanalysis dataset and providing the spatial granularity needed to study surface impacts.\\n\\nFor further documentation, see [Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts](https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1513/) (EGUsphere, 2022 [preprint]).\\n\\n\\n## Citing, licensing, and using data produced by this project\\n\\nProjects making use of the data produced as part of the Climate Impact Lab Global Downscaled Projections for Climate Impacts Research (CIL GDPCIR) project are requested to cite both this project and the source datasets from which these results are derived. Additionally, the use of data derived from some GCMs *requires* citations, and some modeling centers impose licensing restrictions & requirements on derived works. See each GCM's license info in the links below for more information.\\n\\n### CIL GDPCIR\\n\\nUsers are requested to cite this project in derived works. Our method documentation paper may be cited using the following:\\n\\n> Gergel, D. R., Malevich, S. B., McCusker, K. E., Tenezakis, E., Delgado, M. T., Fish, M. A., and Kopp, R. E.: Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1513, 2023. \\n\\nThe code repository may be cited using the following:\\n\\n> Diana Gergel, Kelly McCusker, Brewster Malevich, Emile Tenezakis, Meredith Fish, Michael Delgado (2022). ClimateImpactLab/downscaleCMIP6: (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6403794\\n\\n### ERA5\\n\\nAdditionally, we request you cite the historical dataset used in bias correction and downscaling, ERA5. See the [ECMWF guide to citing a dataset on the Climate Data Store](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it):\\n\\n> Hersbach, H, et al. The ERA5 global reanalysis. Q J R Meteorol Soc.2020; 146: 1999\\u20132049. DOI: [10.1002/qj.3803](https://doi.org/10.1002/qj.3803)\\n>\\n> Mu\\u00f1oz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n>\\n> Mu\\u00f1oz Sabater, J., (2021): ERA5-Land hourly data from 1950 to 1980. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n\\n### GCM-specific citations & licenses\\n\\nThe CMIP6 simulation data made available through the Earth System Grid Federation (ESGF) are subject to Creative Commons [BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) or [BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) licenses. The Climate Impact Lab has reached out to each of the modeling institutions to request waivers from these terms so the outputs of this project may be used with fewer restrictions, and has been granted permission to release the data using the licenses listed here.\\n\\n#### Public Domain Datasets\\n\\nThe following bias corrected and downscaled model simulations are available in the public domain using a [CC0 1.0 Universal Public Domain Declaration](https://creativecommons.org/publicdomain/zero/1.0/). Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0.\\n\\n* **FGOALS-g3**\\n\\n License description: [data_licenses/FGOALS-g3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/FGOALS-g3.txt)\\n\\n CMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 CMIP*. Version 20190826. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1783\\n\\n ScenarioMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190818; SSP2-4.5 version 20190818; SSP3-7.0 version 20190820; SSP5-8.5 tasmax version 20190819; SSP5-8.5 tasmin version 20190819; SSP5-8.5 pr version 20190818. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2056\\n\\n\\n* **INM-CM4-8**\\n\\n License description: [data_licenses/INM-CM4-8.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM4-8.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 CMIP*. Version 20190530. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 ScenarioMIP*. Version 20190603. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12321\\n\\n\\n* **INM-CM5-0**\\n\\n License description: [data_licenses/INM-CM5-0.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM5-0.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 CMIP*. Version 20190610. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1423\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190619; SSP2-4.5 version 20190619; SSP3-7.0 version 20190618; SSP5-8.5 version 20190724. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12322\\n\\n\\n#### CC-BY-4.0\\n\\nThe following bias corrected and downscaled model simulations are licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Note that this license requires citation of the source model output (included here). Please see https://creativecommons.org/licenses/by/4.0/ for more information. Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by.\\n\\n* **ACCESS-CM2**\\n\\n License description: [data_licenses/ACCESS-CM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-CM2.txt)\\n\\n CMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2281\\n\\n ScenarioMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2285\\n\\n\\n* **ACCESS-ESM1-5**\\n\\n License description: [data_licenses/ACCESS-ESM1-5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-ESM1-5.txt)\\n\\n CMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 CMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2288\\n\\n ScenarioMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 ScenarioMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2291\\n\\n\\n* **BCC-CSM2-MR**\\n\\n License description: [data_licenses/BCC-CSM2-MR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/BCC-CSM2-MR.txt)\\n\\n CMIP Citation:\\n\\n > Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen; Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2018)**. *BCC BCC-CSM2MR model output prepared for CMIP6 CMIP*. Version 20181126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1725\\n\\n ScenarioMIP Citation:\\n\\n > Xin, Xiaoge; Wu, Tongwen; Shi, Xueli; Zhang, Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2019)**. *BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190315; SSP2-4.5 version 20190318; SSP3-7.0 version 20190318; SSP5-8.5 version 20190318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1732\\n\\n\\n* **CMCC-CM2-SR5**\\n\\n License description: [data_licenses/CMCC-CM2-SR5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-CM2-SR5.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 CMIP*. Version 20200616. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1362\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200717; SSP2-4.5 version 20200617; SSP3-7.0 version 20200622; SSP5-8.5 version 20200622. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1365\\n\\n\\n* **CMCC-ESM2**\\n\\n License description: [data_licenses/CMCC-ESM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-ESM2.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP*. Version 20210114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13164\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20210126; SSP2-4.5 version 20210129; SSP3-7.0 version 20210202; SSP5-8.5 version 20210126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13168\\n\\n\\n* **EC-Earth3-AerChem**\\n\\n License description: [data_licenses/EC-Earth3-AerChem.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-AerChem.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 CMIP*. Version 20200624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.639\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP*. Version 20200827. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.724\\n\\n\\n* **EC-Earth3-CC**\\n\\n License description: [data_licenses/EC-Earth3-CC.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-CC.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 CMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.640\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2021)**. *EC-Earth-Consortium EC-Earth3-CC model output prepared for CMIP6 ScenarioMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.15327\\n\\n\\n* **EC-Earth3-Veg-LR**\\n\\n License description: [data_licenses/EC-Earth3-Veg-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg-LR.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 CMIP*. Version 20200217. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.643\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20201201; SSP2-4.5 version 20201123; SSP3-7.0 version 20201123; SSP5-8.5 version 20201201. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.728\\n\\n\\n* **EC-Earth3-Veg**\\n\\n License description: [data_licenses/EC-Earth3-Veg.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 CMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.642\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.727\\n\\n\\n* **EC-Earth3**\\n\\n License description: [data_licenses/EC-Earth3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 CMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.181\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 ScenarioMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.251\\n\\n\\n* **GFDL-CM4**\\n\\n License description: [data_licenses/GFDL-CM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-CM4.txt)\\n\\n CMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne, Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1402\\n\\n ScenarioMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, Chris; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9242\\n\\n\\n* **GFDL-ESM4**\\n\\n License description: [data_licenses/GFDL-ESM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-ESM4.txt)\\n\\n CMIP Citation:\\n\\n > Krasting, John P.; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael; Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP*. Version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1407\\n\\n ScenarioMIP Citation:\\n\\n > John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne, John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers, Levi; Stock, Charles; Winton, Michael; Zeng, Yujin **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1414\\n\\n\\n* **HadGEM3-GC31-LL**\\n\\n License description: [data_licenses/HadGEM3-GC31-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/HadGEM3-GC31-LL.txt)\\n\\n CMIP Citation:\\n\\n > Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till; Andrews, Martin; Andrews, Tim **(2018)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP*. Version 20190624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.419\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter **(2019)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200114; SSP2-4.5 version 20190908; SSP5-8.5 version 20200114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10845\\n\\n\\n* **MIROC-ES2L**\\n\\n License description: [data_licenses/MIROC-ES2L.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC-ES2L.txt)\\n\\n CMIP Citation:\\n\\n > Hajima, Tomohiro; Abe, Manabu; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogura, Tomoo; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio; Tachiiri, Kaoru **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 CMIP*. Version 20191129. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.902\\n\\n ScenarioMIP Citation:\\n\\n > Tachiiri, Kaoru; Abe, Manabu; Hajima, Tomohiro; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP*. Version 20200318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.936\\n\\n\\n* **MIROC6**\\n\\n License description: [data_licenses/MIROC6.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC6.txt)\\n\\n CMIP Citation:\\n\\n > Tatebe, Hiroaki; Watanabe, Masahiro **(2018)**. *MIROC MIROC6 model output prepared for CMIP6 CMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.881\\n\\n ScenarioMIP Citation:\\n\\n > Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki **(2019)**. *MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898\\n\\n\\n* **MPI-ESM1-2-HR**\\n\\n License description: [data_licenses/MPI-ESM1-2-HR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-HR.txt)\\n\\n CMIP Citation:\\n\\n > Jungclaus, Johann; Bittner, Matthias; Wieners, Karl-Hermann; Wachsmann, Fabian; Schupfner, Martin; Legutke, Stephanie; Giorgetta, Marco; Reick, Christian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Esch, Monika; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-HR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.741\\n\\n ScenarioMIP Citation:\\n\\n > Schupfner, Martin; Wieners, Karl-Hermann; Wachsmann, Fabian; Steger, Christian; Bittner, Matthias; Jungclaus, Johann; Fr\\u00fch, Barbara; Pankatz, Klaus; Giorgetta, Marco; Reick, Christian; Legutke, Stephanie; Esch, Monika; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *DKRZ MPI-ESM1.2-HR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2450\\n\\n\\n* **MPI-ESM1-2-LR**\\n\\n License description: [data_licenses/MPI-ESM1-2-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-LR.txt)\\n\\n CMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Legutke, Stephanie; Schupfner, Martin; Wachsmann, Fabian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.742\\n\\n ScenarioMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.793\\n\\n\\n* **NESM3**\\n\\n License description: [data_licenses/NESM3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NESM3.txt)\\n\\n CMIP Citation:\\n\\n > Cao, Jian; Wang, Bin **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 CMIP*. Version 20190812. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2021\\n\\n ScenarioMIP Citation:\\n\\n > Cao, Jian **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190806; SSP2-4.5 version 20190805; SSP5-8.5 version 20190811. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2027\\n\\n\\n* **NorESM2-LM**\\n\\n License description: [data_licenses/NorESM2-LM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-LM.txt)\\n\\n CMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 CMIP*. Version 20190815. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.502\\n\\n ScenarioMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.604\\n\\n\\n* **NorESM2-MM**\\n\\n License description: [data_licenses/NorESM2-MM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-MM.txt)\\n\\n CMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.506\\n\\n ScenarioMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.608\\n\\n\\n* **UKESM1-0-LL**\\n\\n License description: [data_licenses/UKESM1-0-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/UKESM1-0-LL.txt)\\n\\n CMIP Citation:\\n\\n > Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Mulcahy, Jane; Sellar, Alistair; Walton, Jeremy; Jones, Colin **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP*. Version 20190627. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1569\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter; Sellar, Alistair; Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Kuhlbrodt, Till; Walton, Jeremy **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190708; SSP2-4.5 version 20190715; SSP3-7.0 version 20190726; SSP5-8.5 version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1567\\n\\n\\n* **CanESM5**\\n\\n License description: [data_licenses/CanESM5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CanESM5.txt). Note: this dataset was previously licensed\\n under CC BY-SA 4.0, but was relicensed as CC BY 4.0 in March, 2023.\\n\\n CMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 CMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1303\\n\\n ScenarioMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317\\n\\n## Acknowledgements\\n\\nThis work is the result of many years worth of work by members of the [Climate Impact Lab](https://impactlab.org), but would not have been possible without many contributions from across the wider scientific and computing communities.\\n\\nSpecifically, we would like to acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP, and we would like to thank the climate modeling groups for producing and making their model output available. We would particularly like to thank the modeling institutions whose results are included as an input to this repository (listed above) for their contributions to the CMIP6 project and for responding to and granting our requests for license waivers.\\n\\nWe would also like to thank Lamont-Doherty Earth Observatory, the [Pangeo Consortium](https://github.com/pangeo-data) (and especially the [ESGF Cloud Data Working Group](https://pangeo-data.github.io/pangeo-cmip6-cloud/#)) and Google Cloud and the Google Public Datasets program for making the [CMIP6 Google Cloud collection](https://console.cloud.google.com/marketplace/details/noaa-public/cmip6) possible. In particular we're extremely grateful to [Ryan Abernathey](https://github.com/rabernat), [Naomi Henderson](https://github.com/naomi-henderson), [Charles Blackmon-Luca](https://github.com/charlesbluca), [Aparna Radhakrishnan](https://github.com/aradhakrishnanGFDL), [Julius Busecke](https://github.com/jbusecke), and [Charles Stern](https://github.com/cisaacstern) for the huge amount of work they've done to translate the ESGF CMIP6 netCDF archives into consistently-formattted, analysis-ready zarr stores on Google Cloud.\\n\\nWe're also grateful to the [xclim developers](https://github.com/Ouranosinc/xclim/graphs/contributors) ([DOI: 10.5281/zenodo.2795043](https://doi.org/10.5281/zenodo.2795043)), in particular [Pascal Bourgault](https://github.com/aulemahal), [David Huard](https://github.com/huard), and [Travis Logan](https://github.com/tlogan2000), for implementing the QDM bias correction method in the xclim python package, supporting our QPLAD implementation into the package, and ongoing support in integrating dask into downscaling workflows. For method advice and useful conversations, we would like to thank Keith Dixon, Dennis Adams-Smith, and [Joe Hamman](https://github.com/jhamman).\\n\\n## Financial support\\n\\nThis research has been supported by The Rockefeller Foundation and the Microsoft AI for Earth Initiative.\\n\\n## Additional links:\\n\\n* CIL GDPCIR project homepage: [github.com/ClimateImpactLab/downscaleCMIP6](https://github.com/ClimateImpactLab/downscaleCMIP6)\\n* Project listing on zenodo: https://doi.org/10.5281/zenodo.6403794\\n* Climate Impact Lab homepage: [impactlab.org](https://impactlab.org)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cil-gdpcir-cc0,climate-impact-lab,cmip6,precipitation,rhodium-group,temperature\", \"license\": \"CC0-1.0\", \"title\": \"CIL Global Downscaled Projections for Climate Impacts Research (CC0-1.0)\", \"missionStartDate\": \"1950-01-01T00:00:00Z\"}, \"cil-gdpcir-cc-by\": {\"abstract\": \"The World Climate Research Programme's [6th Coupled Model Intercomparison Project (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) represents an enormous advance in the quality, detail, and scope of climate modeling.\\n\\nThe [Global Downscaled Projections for Climate Impacts Research](https://github.com/ClimateImpactLab/downscaleCMIP6) dataset makes this modeling more applicable to understanding the impacts of changes in the climate on humans and society with two key developments: trend-preserving bias correction and downscaling. In this dataset, the [Climate Impact Lab](https://impactlab.org) provides global, daily minimum and maximum air temperature at the surface (`tasmin` and `tasmax`) and daily cumulative surface precipitation (`pr`) corresponding to the CMIP6 historical, ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 scenarios for 25 global climate models on a 1/4-degree regular global grid.\\n\\n## Accessing the data\\n\\nGDPCIR data can be accessed on the Microsoft Planetary Computer. The dataset is made of of three collections, distinguished by data license:\\n* [Public domain (CC0-1.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0)\\n* [Attribution (CC BY 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by)\\n\\nEach modeling center with bias corrected and downscaled data in this collection falls into one of these license categories - see the [table below](/dataset/cil-gdpcir-cc-by#available-institutions-models-and-scenarios-by-license-collection) to see which model is in each collection, and see the section below on [Citing, Licensing, and using data produced by this project](/dataset/cil-gdpcir-cc-by#citing-licensing-and-using-data-produced-by-this-project) for citations and additional information about each license.\\n\\n## Data format & contents\\n\\nThe data is stored as partitioned zarr stores (see [https://zarr.readthedocs.io](https://zarr.readthedocs.io)), each of which includes thousands of data and metadata files covering the full time span of the experiment. Historical zarr stores contain just over 50 GB, while SSP zarr stores contain nearly 70GB. Each store is stored as a 32-bit float, with dimensions time (daily datetime), lat (float latitude), and lon (float longitude). The data is chunked at each interval of 365 days and 90 degree interval of latitude and longitude. Therefore, each chunk is `(365, 360, 360)`, with each chunk occupying approximately 180MB in memory.\\n\\nHistorical data is daily, excluding leap days, from Jan 1, 1950 to Dec 31, 2014; SSP data is daily, excluding leap days, from Jan 1, 2015 to either Dec 31, 2099 or Dec 31, 2100, depending on data availability in the source GCM.\\n\\nThe spatial domain covers all 0.25-degree grid cells, indexed by the grid center, with grid edges on the quarter-degree, using a -180 to 180 longitude convention. Thus, the \\u201clon\\u201d coordinate extends from -179.875 to 179.875, and the \\u201clat\\u201d coordinate extends from -89.875 to 89.875, with intermediate values at each 0.25-degree increment between (e.g. -179.875, -179.625, -179.375, etc).\\n\\n## Available institutions, models, and scenarios by license collection\\n\\n| Modeling institution | Source model | Available experiments | License collection |\\n| -------------------- | ----------------- | ------------------------------------------ | ---------------------- |\\n| CAS | FGOALS-g3 [^1] | SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM4-8 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM5-0 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| BCC | BCC-CSM2-MR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| CMCC | CMCC-CM2-SR5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n| CMCC | CMCC-ESM2 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n| CSIRO-ARCCSS | ACCESS-CM2 | SSP2-4.5 and SSP3-7.0 | CC-BY-40 |\\n| CSIRO | ACCESS-ESM1-5 | SSP1-2.6, SSP2-4.5, and SSP3-7.0 | CC-BY-40 |\\n| MIROC | MIROC-ES2L | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MIROC | MIROC6 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MOHC | HadGEM3-GC31-LL | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40 |\\n| MOHC | UKESM1-0-LL | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M | MPI-ESM1-2-LR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M/DKRZ [^2] | MPI-ESM1-2-HR | SSP1-2.6 and SSP5-8.5 | CC-BY-40 |\\n| NCC | NorESM2-LM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NCC | NorESM2-MM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL | GFDL-CM4 | SSP2-4.5 and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL | GFDL-ESM4 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NUIST | NESM3 | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3 | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-AerChem | ssp370 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-CC | ssp245 and ssp585 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-Veg | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-Veg-LR | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| CCCma | CanESM5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40[^3] |\\n\\n*Notes:*\\n\\n[^1]: At the time of running, no ssp1-2.6 precipitation data was available. Therefore, we provide `tasmin` and `tamax` for this model and experiment, but not `pr`. All other model/experiment combinations in the above table include all three variables.\\n\\n[^2]: The institution which ran MPI-ESM1-2-HR\\u2019s historical (CMIP) simulations is `MPI-M`, while the future (ScenarioMIP) simulations were run by `DKRZ`. Therefore, the institution component of `MPI-ESM1-2-HR` filepaths differ between `historical` and `SSP` scenarios.\\n\\n[^3]: This dataset was previously licensed as [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/), but was relicensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0) in March, 2023. \\n\\n## Project methods\\n\\nThis project makes use of statistical bias correction and downscaling algorithms, which are specifically designed to accurately represent changes in the extremes. For this reason, we selected Quantile Delta Mapping (QDM), following the method introduced by [Cannon et al. (2015)](https://doi.org/10.1175/JCLI-D-14-00754.1), which preserves quantile-specific trends from the GCM while fitting the full distribution for a given day-of-year to a reference dataset (ERA5).\\n\\nWe then introduce a similar method tailored to increase spatial resolution while preserving extreme behavior, Quantile-Preserving Localized-Analog Downscaling (QPLAD).\\n\\nTogether, these methods provide a robust means to handle both the central and tail behavior seen in climate model output, while aligning the full distribution to a state-of-the-art reanalysis dataset and providing the spatial granularity needed to study surface impacts.\\n\\nFor further documentation, see [Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts](https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1513/) (EGUsphere, 2022 [preprint]).\\n\\n## Citing, licensing, and using data produced by this project\\n\\nProjects making use of the data produced as part of the Climate Impact Lab Global Downscaled Projections for Climate Impacts Research (CIL GDPCIR) project are requested to cite both this project and the source datasets from which these results are derived. Additionally, the use of data derived from some GCMs *requires* citations, and some modeling centers impose licensing restrictions & requirements on derived works. See each GCM's license info in the links below for more information.\\n\\n### CIL GDPCIR\\n\\nUsers are requested to cite this project in derived works. Our method documentation paper may be cited using the following:\\n\\n> Gergel, D. R., Malevich, S. B., McCusker, K. E., Tenezakis, E., Delgado, M. T., Fish, M. A., and Kopp, R. E.: Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1513, 2023. \\n\\nThe code repository may be cited using the following:\\n\\n> Diana Gergel, Kelly McCusker, Brewster Malevich, Emile Tenezakis, Meredith Fish, Michael Delgado (2022). ClimateImpactLab/downscaleCMIP6: (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6403794\\n\\n### ERA5\\n\\nAdditionally, we request you cite the historical dataset used in bias correction and downscaling, ERA5. See the [ECMWF guide to citing a dataset on the Climate Data Store](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it):\\n\\n> Hersbach, H, et al. The ERA5 global reanalysis. Q J R Meteorol Soc.2020; 146: 1999\\u20132049. DOI: [10.1002/qj.3803](https://doi.org/10.1002/qj.3803)\\n>\\n> Mu\\u00f1oz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n>\\n> Mu\\u00f1oz Sabater, J., (2021): ERA5-Land hourly data from 1950 to 1980. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n\\n### GCM-specific citations & licenses\\n\\nThe CMIP6 simulation data made available through the Earth System Grid Federation (ESGF) are subject to Creative Commons [BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) or [BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) licenses. The Climate Impact Lab has reached out to each of the modeling institutions to request waivers from these terms so the outputs of this project may be used with fewer restrictions, and has been granted permission to release the data using the licenses listed here.\\n\\n#### Public Domain Datasets\\n\\nThe following bias corrected and downscaled model simulations are available in the public domain using a [CC0 1.0 Universal Public Domain Declaration](https://creativecommons.org/publicdomain/zero/1.0/). Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0.\\n\\n* **FGOALS-g3**\\n\\n License description: [data_licenses/FGOALS-g3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/FGOALS-g3.txt)\\n\\n CMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 CMIP*. Version 20190826. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1783\\n\\n ScenarioMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190818; SSP2-4.5 version 20190818; SSP3-7.0 version 20190820; SSP5-8.5 tasmax version 20190819; SSP5-8.5 tasmin version 20190819; SSP5-8.5 pr version 20190818. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2056\\n\\n\\n* **INM-CM4-8**\\n\\n License description: [data_licenses/INM-CM4-8.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM4-8.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 CMIP*. Version 20190530. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 ScenarioMIP*. Version 20190603. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12321\\n\\n\\n* **INM-CM5-0**\\n\\n License description: [data_licenses/INM-CM5-0.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM5-0.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 CMIP*. Version 20190610. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1423\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190619; SSP2-4.5 version 20190619; SSP3-7.0 version 20190618; SSP5-8.5 version 20190724. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12322\\n\\n\\n#### CC-BY-4.0\\n\\nThe following bias corrected and downscaled model simulations are licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Note that this license requires citation of the source model output (included here). Please see https://creativecommons.org/licenses/by/4.0/ for more information. Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by.\\n\\n* **ACCESS-CM2**\\n\\n License description: [data_licenses/ACCESS-CM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-CM2.txt)\\n\\n CMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2281\\n\\n ScenarioMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2285\\n\\n\\n* **ACCESS-ESM1-5**\\n\\n License description: [data_licenses/ACCESS-ESM1-5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-ESM1-5.txt)\\n\\n CMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 CMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2288\\n\\n ScenarioMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 ScenarioMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2291\\n\\n\\n* **BCC-CSM2-MR**\\n\\n License description: [data_licenses/BCC-CSM2-MR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/BCC-CSM2-MR.txt)\\n\\n CMIP Citation:\\n\\n > Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen; Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2018)**. *BCC BCC-CSM2MR model output prepared for CMIP6 CMIP*. Version 20181126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1725\\n\\n ScenarioMIP Citation:\\n\\n > Xin, Xiaoge; Wu, Tongwen; Shi, Xueli; Zhang, Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2019)**. *BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190315; SSP2-4.5 version 20190318; SSP3-7.0 version 20190318; SSP5-8.5 version 20190318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1732\\n\\n\\n* **CMCC-CM2-SR5**\\n\\n License description: [data_licenses/CMCC-CM2-SR5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-CM2-SR5.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 CMIP*. Version 20200616. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1362\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200717; SSP2-4.5 version 20200617; SSP3-7.0 version 20200622; SSP5-8.5 version 20200622. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1365\\n\\n\\n* **CMCC-ESM2**\\n\\n License description: [data_licenses/CMCC-ESM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-ESM2.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP*. Version 20210114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13164\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20210126; SSP2-4.5 version 20210129; SSP3-7.0 version 20210202; SSP5-8.5 version 20210126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13168\\n\\n\\n* **EC-Earth3-AerChem**\\n\\n License description: [data_licenses/EC-Earth3-AerChem.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-AerChem.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 CMIP*. Version 20200624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.639\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP*. Version 20200827. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.724\\n\\n\\n* **EC-Earth3-CC**\\n\\n License description: [data_licenses/EC-Earth3-CC.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-CC.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 CMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.640\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2021)**. *EC-Earth-Consortium EC-Earth3-CC model output prepared for CMIP6 ScenarioMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.15327\\n\\n\\n* **EC-Earth3-Veg-LR**\\n\\n License description: [data_licenses/EC-Earth3-Veg-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg-LR.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 CMIP*. Version 20200217. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.643\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20201201; SSP2-4.5 version 20201123; SSP3-7.0 version 20201123; SSP5-8.5 version 20201201. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.728\\n\\n\\n* **EC-Earth3-Veg**\\n\\n License description: [data_licenses/EC-Earth3-Veg.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 CMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.642\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.727\\n\\n\\n* **EC-Earth3**\\n\\n License description: [data_licenses/EC-Earth3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 CMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.181\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 ScenarioMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.251\\n\\n\\n* **GFDL-CM4**\\n\\n License description: [data_licenses/GFDL-CM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-CM4.txt)\\n\\n CMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne, Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1402\\n\\n ScenarioMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, Chris; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9242\\n\\n\\n* **GFDL-ESM4**\\n\\n License description: [data_licenses/GFDL-ESM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-ESM4.txt)\\n\\n CMIP Citation:\\n\\n > Krasting, John P.; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael; Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP*. Version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1407\\n\\n ScenarioMIP Citation:\\n\\n > John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne, John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers, Levi; Stock, Charles; Winton, Michael; Zeng, Yujin **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1414\\n\\n\\n* **HadGEM3-GC31-LL**\\n\\n License description: [data_licenses/HadGEM3-GC31-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/HadGEM3-GC31-LL.txt)\\n\\n CMIP Citation:\\n\\n > Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till; Andrews, Martin; Andrews, Tim **(2018)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP*. Version 20190624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.419\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter **(2019)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200114; SSP2-4.5 version 20190908; SSP5-8.5 version 20200114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10845\\n\\n\\n* **MIROC-ES2L**\\n\\n License description: [data_licenses/MIROC-ES2L.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC-ES2L.txt)\\n\\n CMIP Citation:\\n\\n > Hajima, Tomohiro; Abe, Manabu; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogura, Tomoo; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio; Tachiiri, Kaoru **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 CMIP*. Version 20191129. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.902\\n\\n ScenarioMIP Citation:\\n\\n > Tachiiri, Kaoru; Abe, Manabu; Hajima, Tomohiro; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP*. Version 20200318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.936\\n\\n\\n* **MIROC6**\\n\\n License description: [data_licenses/MIROC6.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC6.txt)\\n\\n CMIP Citation:\\n\\n > Tatebe, Hiroaki; Watanabe, Masahiro **(2018)**. *MIROC MIROC6 model output prepared for CMIP6 CMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.881\\n\\n ScenarioMIP Citation:\\n\\n > Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki **(2019)**. *MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898\\n\\n\\n* **MPI-ESM1-2-HR**\\n\\n License description: [data_licenses/MPI-ESM1-2-HR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-HR.txt)\\n\\n CMIP Citation:\\n\\n > Jungclaus, Johann; Bittner, Matthias; Wieners, Karl-Hermann; Wachsmann, Fabian; Schupfner, Martin; Legutke, Stephanie; Giorgetta, Marco; Reick, Christian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Esch, Monika; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-HR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.741\\n\\n ScenarioMIP Citation:\\n\\n > Schupfner, Martin; Wieners, Karl-Hermann; Wachsmann, Fabian; Steger, Christian; Bittner, Matthias; Jungclaus, Johann; Fr\\u00fch, Barbara; Pankatz, Klaus; Giorgetta, Marco; Reick, Christian; Legutke, Stephanie; Esch, Monika; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *DKRZ MPI-ESM1.2-HR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2450\\n\\n\\n* **MPI-ESM1-2-LR**\\n\\n License description: [data_licenses/MPI-ESM1-2-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-LR.txt)\\n\\n CMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Legutke, Stephanie; Schupfner, Martin; Wachsmann, Fabian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.742\\n\\n ScenarioMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.793\\n\\n\\n* **NESM3**\\n\\n License description: [data_licenses/NESM3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NESM3.txt)\\n\\n CMIP Citation:\\n\\n > Cao, Jian; Wang, Bin **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 CMIP*. Version 20190812. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2021\\n\\n ScenarioMIP Citation:\\n\\n > Cao, Jian **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190806; SSP2-4.5 version 20190805; SSP5-8.5 version 20190811. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2027\\n\\n\\n* **NorESM2-LM**\\n\\n License description: [data_licenses/NorESM2-LM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-LM.txt)\\n\\n CMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 CMIP*. Version 20190815. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.502\\n\\n ScenarioMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.604\\n\\n\\n* **NorESM2-MM**\\n\\n License description: [data_licenses/NorESM2-MM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-MM.txt)\\n\\n CMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.506\\n\\n ScenarioMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.608\\n\\n\\n* **UKESM1-0-LL**\\n\\n License description: [data_licenses/UKESM1-0-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/UKESM1-0-LL.txt)\\n\\n CMIP Citation:\\n\\n > Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Mulcahy, Jane; Sellar, Alistair; Walton, Jeremy; Jones, Colin **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP*. Version 20190627. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1569\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter; Sellar, Alistair; Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Kuhlbrodt, Till; Walton, Jeremy **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190708; SSP2-4.5 version 20190715; SSP3-7.0 version 20190726; SSP5-8.5 version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1567\\n\\n* **CanESM5**\\n\\n License description: [data_licenses/CanESM5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CanESM5.txt). Note: this dataset was previously licensed\\n under CC BY-SA 4.0, but was relicensed as CC BY 4.0 in March, 2023.\\n\\n CMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 CMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1303\\n\\n ScenarioMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317\\n\\n## Acknowledgements\\n\\nThis work is the result of many years worth of work by members of the [Climate Impact Lab](https://impactlab.org), but would not have been possible without many contributions from across the wider scientific and computing communities.\\n\\nSpecifically, we would like to acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP, and we would like to thank the climate modeling groups for producing and making their model output available. We would particularly like to thank the modeling institutions whose results are included as an input to this repository (listed above) for their contributions to the CMIP6 project and for responding to and granting our requests for license waivers.\\n\\nWe would also like to thank Lamont-Doherty Earth Observatory, the [Pangeo Consortium](https://github.com/pangeo-data) (and especially the [ESGF Cloud Data Working Group](https://pangeo-data.github.io/pangeo-cmip6-cloud/#)) and Google Cloud and the Google Public Datasets program for making the [CMIP6 Google Cloud collection](https://console.cloud.google.com/marketplace/details/noaa-public/cmip6) possible. In particular we're extremely grateful to [Ryan Abernathey](https://github.com/rabernat), [Naomi Henderson](https://github.com/naomi-henderson), [Charles Blackmon-Luca](https://github.com/charlesbluca), [Aparna Radhakrishnan](https://github.com/aradhakrishnanGFDL), [Julius Busecke](https://github.com/jbusecke), and [Charles Stern](https://github.com/cisaacstern) for the huge amount of work they've done to translate the ESGF CMIP6 netCDF archives into consistently-formattted, analysis-ready zarr stores on Google Cloud.\\n\\nWe're also grateful to the [xclim developers](https://github.com/Ouranosinc/xclim/graphs/contributors) ([DOI: 10.5281/zenodo.2795043](https://doi.org/10.5281/zenodo.2795043)), in particular [Pascal Bourgault](https://github.com/aulemahal), [David Huard](https://github.com/huard), and [Travis Logan](https://github.com/tlogan2000), for implementing the QDM bias correction method in the xclim python package, supporting our QPLAD implementation into the package, and ongoing support in integrating dask into downscaling workflows. For method advice and useful conversations, we would like to thank Keith Dixon, Dennis Adams-Smith, and [Joe Hamman](https://github.com/jhamman).\\n\\n## Financial support\\n\\nThis research has been supported by The Rockefeller Foundation and the Microsoft AI for Earth Initiative.\\n\\n## Additional links:\\n\\n* CIL GDPCIR project homepage: [github.com/ClimateImpactLab/downscaleCMIP6](https://github.com/ClimateImpactLab/downscaleCMIP6)\\n* Project listing on zenodo: https://doi.org/10.5281/zenodo.6403794\\n* Climate Impact Lab homepage: [impactlab.org](https://impactlab.org)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cil-gdpcir-cc-by,climate-impact-lab,cmip6,precipitation,rhodium-group,temperature\", \"license\": \"CC-BY-4.0\", \"title\": \"CIL Global Downscaled Projections for Climate Impacts Research (CC-BY-4.0)\", \"missionStartDate\": \"1950-01-01T00:00:00Z\"}, \"noaa-cdr-sea-surface-temperature-whoi-netcdf\": {\"abstract\": \"The Sea Surface Temperature-Woods Hole Oceanographic Institution (WHOI) Climate Data Record (CDR) is one of three CDRs which combine to form the NOAA Ocean Surface Bundle (OSB) CDR. The resultant sea surface temperature (SST) data are produced through modeling the diurnal variability in combination with AVHRR SST observations. The final record is output to a 3-hourly 0.25\\u00b0 resolution grid over the global ice-free oceans from January 1988\\u2014present.\\n\\nThis is a NetCDF-only collection, for Cloud-Optimized GeoTIFFs use collection `noaa-cdr-sea-surface-temperature-whoi`.\\nThe NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-sea-surface-temperature-whoi-netcdf,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Sea Surface Temperature - WHOI CDR NetCDFs\", \"missionStartDate\": \"1988-01-01T00:00:00Z\"}, \"noaa-cdr-sea-surface-temperature-optimum-interpolation\": {\"abstract\": \"The NOAA 1/4\\u00b0 daily Optimum Interpolation Sea Surface Temperature (or daily OISST) Climate Data Record (CDR) provides complete ocean temperature fields constructed by combining bias-adjusted observations from different platforms (satellites, ships, buoys) on a regular global grid, with gaps filled in by interpolation. The main input source is satellite data from the Advanced Very High Resolution Radiometer (AVHRR), which provides high temporal-spatial coverage from late 1981-present. This input must be adjusted to the buoys due to erroneous cold SST data following the Mt Pinatubo and El Chichon eruptions. Applications include climate modeling, resource management, ecological studies on annual to daily scales.\\n\\nThese Cloud Optimized GeoTIFFs (COGs) were created from NetCDF files which are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\nFor the NetCDF files, see collection `noaa-cdr-sea-surface-temperature-optimum-interpolation-netcdf`.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-sea-surface-temperature-optimum-interpolation,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Sea Surface Temperature - Optimum Interpolation CDR\", \"missionStartDate\": \"1981-09-01T00:00:00Z\"}, \"modis-10A1-061\": {\"abstract\": \"This global Level-3 (L3) data set provides a daily composite of snow cover and albedo derived from the 'MODIS Snow Cover 5-Min L2 Swath 500m' data set. Each data granule is a 10degx10deg tile projected to a 500 m sinusoidal grid.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod10a1,modis,modis-10a1-061,myd10a1,nasa,satellite,snow,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Snow Cover Daily\", \"missionStartDate\": \"2000-02-24T00:00:00Z\"}, \"sentinel-5p-l2-netcdf\": {\"abstract\": \"The Copernicus [Sentinel-5 Precursor](https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5p) mission provides high spatio-temporal resolution measurements of the Earth's atmosphere. The mission consists of one satellite carrying the [TROPOspheric Monitoring Instrument](http://www.tropomi.eu/) (TROPOMI). The satellite flies in loose formation with NASA's [Suomi NPP](https://www.nasa.gov/mission_pages/NPP/main/index.html) spacecraft, allowing utilization of co-located cloud mask data provided by the [Visible Infrared Imaging Radiometer Suite](https://www.nesdis.noaa.gov/current-satellite-missions/currently-flying/joint-polar-satellite-system/visible-infrared-imaging) (VIIRS) instrument onboard Suomi NPP during processing of the TROPOMI methane product.\\n\\nThe Sentinel-5 Precursor mission aims to reduce the global atmospheric data gap between the retired [ENVISAT](https://earth.esa.int/eogateway/missions/envisat) and [AURA](https://www.nasa.gov/mission_pages/aura/main/index.html) missions and the future [Sentinel-5](https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5) mission. Sentinel-5 Precursor [Level 2 data](http://www.tropomi.eu/data-products/level-2-products) provide total columns of ozone, sulfur dioxide, nitrogen dioxide, carbon monoxide and formaldehyde, tropospheric columns of ozone, vertical profiles of ozone and cloud & aerosol information. These measurements are used for improving air quality forecasts and monitoring the concentrations of atmospheric constituents.\\n\\nThis STAC Collection provides Sentinel-5 Precursor Level 2 data, in NetCDF format, since April 2018 for the following products:\\n\\n* [`L2__AER_AI`](http://www.tropomi.eu/data-products/uv-aerosol-index): Ultraviolet aerosol index\\n* [`L2__AER_LH`](http://www.tropomi.eu/data-products/aerosol-layer-height): Aerosol layer height\\n* [`L2__CH4___`](http://www.tropomi.eu/data-products/methane): Methane (CH<sub>4</sub>) total column\\n* [`L2__CLOUD_`](http://www.tropomi.eu/data-products/cloud): Cloud fraction, albedo, and top pressure\\n* [`L2__CO____`](http://www.tropomi.eu/data-products/carbon-monoxide): Carbon monoxide (CO) total column\\n* [`L2__HCHO__`](http://www.tropomi.eu/data-products/formaldehyde): Formaldehyde (HCHO) total column\\n* [`L2__NO2___`](http://www.tropomi.eu/data-products/nitrogen-dioxide): Nitrogen dioxide (NO<sub>2</sub>) total column\\n* [`L2__O3____`](http://www.tropomi.eu/data-products/total-ozone-column): Ozone (O<sub>3</sub>) total column\\n* [`L2__O3_TCL`](http://www.tropomi.eu/data-products/tropospheric-ozone-column): Ozone (O<sub>3</sub>) tropospheric column\\n* [`L2__SO2___`](http://www.tropomi.eu/data-products/sulphur-dioxide): Sulfur dioxide (SO<sub>2</sub>) total column\\n* [`L2__NP_BD3`](http://www.tropomi.eu/data-products/auxiliary): Cloud from the Suomi NPP mission, band 3\\n* [`L2__NP_BD6`](http://www.tropomi.eu/data-products/auxiliary): Cloud from the Suomi NPP mission, band 6\\n* [`L2__NP_BD7`](http://www.tropomi.eu/data-products/auxiliary): Cloud from the Suomi NPP mission, band 7\\n\", \"instrument\": \"TROPOMI\", \"platform\": \"Sentinel-5P\", \"platformSerialIdentifier\": \"Sentinel 5 Precursor\", \"processingLevel\": null, \"keywords\": \"air-quality,climate-change,copernicus,esa,forecasting,sentinel,sentinel-5-precursor,sentinel-5p,sentinel-5p-l2-netcdf,tropomi\", \"license\": \"proprietary\", \"title\": \"Sentinel-5P Level-2\", \"missionStartDate\": \"2018-04-30T00:18:50Z\"}, \"sentinel-3-olci-wfr-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 Full Resolution [OLCI Level-2 Water][olci-l2] products containing data on water-leaving reflectance, ocean color, and more.\\n\\n## Data files\\n\\nThis dataset includes data on:\\n\\n- Surface directional reflectance\\n- Chlorophyll-a concentration\\n- Suspended matter concentration\\n- Energy flux\\n- Aerosol load\\n- Integrated water vapor column\\n\\nEach variable is contained within NetCDF files. Error estimates are available for each product.\\n\\n## Processing overview\\n\\nThe values in the data files have been converted from Top of Atmosphere radiance to reflectance, and include various corrections for gaseous absorption and pixel classification. More information about the product and data processing can be found in the [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-water) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-2/processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from November 2017 to present.\\n\\n[olci-l2]: https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-2/ocean-products\\n\", \"instrument\": \"OLCI\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,ocean,olci,sentinel,sentinel-3,sentinel-3-olci-wfr-l2-netcdf,sentinel-3a,sentinel-3b,water\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Water (Full Resolution)\", \"missionStartDate\": \"2017-11-01T00:07:01.738487Z\"}, \"noaa-cdr-ocean-heat-content-netcdf\": {\"abstract\": \"The Ocean Heat Content Climate Data Record (CDR) is a set of ocean heat content anomaly (OHCA) time-series for 1955-present on 3-monthly, yearly, and pentadal (five-yearly) scales. This CDR quantifies ocean heat content change over time, which is an essential metric for understanding climate change and the Earth's energy budget. It provides time-series for multiple depth ranges in the global ocean and each of the major basins (Atlantic, Pacific, and Indian) divided by hemisphere (Northern, Southern).\\n\\nThis is a NetCDF-only collection, for Cloud-Optimized GeoTIFFs use collection `noaa-cdr-ocean-heat-content`.\\nThe NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-ocean-heat-content-netcdf,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Global Ocean Heat Content CDR NetCDFs\", \"missionStartDate\": \"1972-03-01T00:00:00Z\"}, \"sentinel-3-synergy-aod-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 Aerosol Optical Depth](https://sentinels.copernicus.eu/web/sentinel/level-2-aod) product, which is a downstream development of the Sentinel-2 Level-1 [OLCI Full Resolution](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci/data-formats/level-1) and [SLSTR Radiances and Brightness Temperatures](https://sentinels.copernicus.eu/web/sentinel/user-guides/Sentinel-3-slstr/data-formats/level-1) products. The dataset provides both retrieved and diagnostic global aerosol parameters at super-pixel (4.5 km x 4.5 km) resolution in a single NetCDF file for all regions over land and ocean free of snow/ice cover, excluding high cloud fraction data. The retrieved and derived aerosol parameters are:\\n\\n- Aerosol Optical Depth (AOD) at 440, 550, 670, 985, 1600 and 2250 nm\\n- Error estimates (i.e. standard deviation) in AOD at 440, 550, 670, 985, 1600 and 2250 nm\\n- Single Scattering Albedo (SSA) at 440, 550, 670, 985, 1600 and 2250 nm\\n- Fine-mode AOD at 550nm\\n- Aerosol Angstrom parameter between 550 and 865nm\\n- Dust AOD at 550nm\\n- Aerosol absorption optical depth at 550nm\\n\\nAtmospherically corrected nadir surface directional reflectances at 440, 550, 670, 985, 1600 and 2250 nm at super-pixel (4.5 km x 4.5 km) resolution are also provided. More information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/level-2-aod) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/products-algorithms/level-2-aod-algorithms-and-products).\\n\\nThis Collection contains Level-2 data in NetCDF files from April 2020 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"aerosol,copernicus,esa,global,olci,satellite,sentinel,sentinel-3,sentinel-3-synergy-aod-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Global Aerosol\", \"missionStartDate\": \"2020-04-16T19:36:28.012367Z\"}, \"sentinel-3-synergy-v10-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 10-Day Surface Reflectance and NDVI](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vg1-v10) products, which are SPOT VEGETATION Continuity Products similar to those obtained from the [VEGETATION instrument](https://docs.terrascope.be/#/Satellites/SPOT-VGT/MissionInstruments) onboard the SPOT-4 and SPOT-5 satellites. The primary variables are a maximum Normalized Difference Vegetation Index (NDVI) composite, which is derived from ground reflectance during a 10-day window, and four surface reflectance bands:\\n\\n- B0 (Blue, 450nm)\\n- B2 (Red, 645nm)\\n- B3 (NIR, 835nm)\\n- MIR (SWIR, 1665nm)\\n\\nThe four reflectance bands have center wavelengths matching those on the original SPOT VEGETATION instrument. The NDVI variable, which is an indicator of the amount of vegetation, is derived from the B3 and B2 bands.\\n\\n## Data files\\n\\nThe four reflectance bands and NDVI values are each contained in dedicated NetCDF files. Additional metadata are delivered in annotation NetCDF files, each containing a single variable, including the geometric viewing and illumination conditions, the total water vapour and ozone columns, and the aerosol optical depth.\\n\\nEach 10-day product is delivered as a set of 10 rectangular scenes:\\n\\n- AFRICA\\n- NORTH_AMERICA\\n- SOUTH_AMERICA\\n- CENTRAL_AMERICA\\n- NORTH_ASIA\\n- WEST_ASIA\\n- SOUTH_EAST_ASIA\\n- ASIAN_ISLANDS\\n- AUSTRALASIA\\n- EUROPE\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vg1-v10) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/vgt-s/v10-product).\\n\\nThis Collection contains Level-2 data in NetCDF files from September 2018 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,ndvi,olci,reflectance,satellite,sentinel,sentinel-3,sentinel-3-synergy-v10-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 10-Day Surface Reflectance and NDVI (SPOT VEGETATION)\", \"missionStartDate\": \"2018-09-27T11:17:21Z\"}, \"sentinel-3-olci-lfr-l2-netcdf\": {\"abstract\": \"This collection provides Sentinel-3 Full Resolution [OLCI Level-2 Land][olci-l2] products containing data on global vegetation, chlorophyll, and water vapor.\\n\\n## Data files\\n\\nThis dataset includes data on three primary variables:\\n\\n* OLCI global vegetation index file\\n* terrestrial Chlorophyll index file\\n* integrated water vapor over water file.\\n\\nEach variable is contained within a separate NetCDF file, and is cataloged as an asset in each Item.\\n\\nSeveral associated variables are also provided in the annotations data files:\\n\\n* rectified reflectance for red and NIR channels (RC681 and RC865)\\n* classification, quality and science flags (LQSF)\\n* common data such as the ortho-geolocation of land pixels, solar and satellite angles, atmospheric and meteorological data, time stamp or instrument information. These variables are inherited from Level-1B products.\\n\\nThis full resolution product offers a spatial sampling of approximately 300 m.\\n\\n## Processing overview\\n\\nThe values in the data files have been converted from Top of Atmosphere radiance to reflectance, and include various corrections for gaseous absorption and pixel classification. More information about the product and data processing can be found in the [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-land) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-2/processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from April 2016 to present.\\n\\n[olci-l2]: https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-2/land-products\\n\", \"instrument\": \"OLCI\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"biomass,copernicus,esa,land,olci,sentinel,sentinel-3,sentinel-3-olci-lfr-l2-netcdf,sentinel-3a,sentinel-3b\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Land (Full Resolution)\", \"missionStartDate\": \"2016-04-25T11:33:47.368562Z\"}, \"sentinel-3-sral-lan-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SRAL Level-2 Land Altimetry](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-altimetry/level-2-algorithms-products) products, which contain data on land radar altimetry measurements. Each product contains three NetCDF files:\\n\\n- A reduced data file containing a subset of the 1 Hz Ku-band parameters.\\n- A standard data file containing the standard 1 Hz and 20 Hz Ku- and C-band parameters.\\n- An enhanced data file containing the standard 1 Hz and 20 Hz Ku- and C-band parameters along with the waveforms and parameters necessary to reprocess the data.\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-altimetry/overview) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-altimetry).\\n\\nThis Collection contains Level-2 data in NetCDF files from March 2016 to present.\\n\", \"instrument\": \"SRAL\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"altimetry,copernicus,esa,radar,satellite,sentinel,sentinel-3,sentinel-3-sral-lan-l2-netcdf,sentinel-3a,sentinel-3b,sral\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Land Radar Altimetry\", \"missionStartDate\": \"2016-03-01T14:07:51.632846Z\"}, \"sentinel-3-slstr-lst-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SLSTR Level-2 Land Surface Temperature](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-lst) products containing data on land surface temperature measurements on a 1km grid. Radiance is measured in two channels to determine the temperature of the Earth's surface skin in the instrument field of view, where the term \\\"skin\\\" refers to the top surface of bare soil or the effective emitting temperature of vegetation canopies as viewed from above.\\n\\n## Data files\\n\\nThe dataset includes data on the primary measurement variable, land surface temperature, in a single NetCDF file, `LST_in.nc`. A second file, `LST_ancillary.nc`, contains several ancillary variables:\\n\\n- Normalized Difference Vegetation Index\\n- Surface biome classification\\n- Fractional vegetation cover\\n- Total water vapor column\\n\\nIn addition to the primary and ancillary data files, a standard set of annotation data files provide meteorological information, geolocation and time coordinates, geometry information, and quality flags. More information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-lst) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/level-2/lst-processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from April 2016 to present.\\n\\n## STAC Item geometries\\n\\nThe Collection contains small \\\"chips\\\" and long \\\"stripes\\\" of data collected along the satellite direction of travel. Approximately five percent of the STAC Items describing long stripes of data contain geometries that encompass a larger area than an exact concave hull of the data extents. This may require additional filtering when searching the Collection for Items that spatially intersect an area of interest.\\n\", \"instrument\": \"SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,land,satellite,sentinel,sentinel-3,sentinel-3-slstr-lst-l2-netcdf,sentinel-3a,sentinel-3b,slstr,temperature\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Land Surface Temperature\", \"missionStartDate\": \"2016-04-19T01:35:17.188500Z\"}, \"sentinel-3-slstr-wst-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SLSTR Level-2 Water Surface Temperature](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-wst) products containing data on sea surface temperature measurements on a 1km grid. Each product consists of a single NetCDF file containing all data variables:\\n\\n- Sea Surface Temperature (SST) value\\n- SST total uncertainty\\n- Latitude and longitude coordinates\\n- SST time deviation\\n- Single Sensor Error Statistic (SSES) bias and standard deviation estimate\\n- Contextual parameters such as wind speed at 10 m and fractional sea-ice contamination\\n- Quality flag\\n- Satellite zenith angle\\n- Top Of Atmosphere (TOA) Brightness Temperature (BT)\\n- TOA noise equivalent BT\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-wst) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/level-2/sst-processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from October 2017 to present.\\n\", \"instrument\": \"SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,ocean,satellite,sentinel,sentinel-3,sentinel-3-slstr-wst-l2-netcdf,sentinel-3a,sentinel-3b,slstr,temperature\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Sea Surface Temperature\", \"missionStartDate\": \"2017-10-31T23:59:57.451604Z\"}, \"sentinel-3-sral-wat-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SRAL Level-2 Ocean Altimetry](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-altimetry/level-2-algorithms-products) products, which contain data on ocean radar altimetry measurements. Each product contains three NetCDF files:\\n\\n- A reduced data file containing a subset of the 1 Hz Ku-band parameters.\\n- A standard data file containing the standard 1 Hz and 20 Hz Ku- and C-band parameters.\\n- An enhanced data file containing the standard 1 Hz and 20 Hz Ku- and C-band parameters along with the waveforms and parameters necessary to reprocess the data.\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-altimetry/overview) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-altimetry).\\n\\nThis Collection contains Level-2 data in NetCDF files from January 2017 to present.\\n\", \"instrument\": \"SRAL\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"altimetry,copernicus,esa,ocean,radar,satellite,sentinel,sentinel-3,sentinel-3-sral-wat-l2-netcdf,sentinel-3a,sentinel-3b,sral\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Ocean Radar Altimetry\", \"missionStartDate\": \"2017-01-28T00:59:14.149496Z\"}, \"ms-buildings\": {\"abstract\": \"Bing Maps is releasing open building footprints around the world. We have detected over 999 million buildings from Bing Maps imagery between 2014 and 2021 including Maxar and Airbus imagery. The data is freely available for download and use under ODbL. This dataset complements our other releases.\\n\\nFor more information, see the [GlobalMLBuildingFootprints](https://github.com/microsoft/GlobalMLBuildingFootprints/) repository on GitHub.\\n\\n## Building footprint creation\\n\\nThe building extraction is done in two stages:\\n\\n1. Semantic Segmentation \\u2013 Recognizing building pixels on an aerial image using deep neural networks (DNNs)\\n2. Polygonization \\u2013 Converting building pixel detections into polygons\\n\\n**Stage 1: Semantic Segmentation**\\n\\n\\n\\n**Stage 2: Polygonization**\\n\\n\\n\\n## Data assets\\n\\nThe building footprints are provided as a set of [geoparquet](https://github.com/opengeospatial/geoparquet) datasets in [Delta][delta] table format.\\nThe data are partitioned by\\n\\n1. Region\\n2. quadkey at [Bing Map Tiles][tiles] level 9\\n\\nEach `(Region, quadkey)` pair will have one or more geoparquet files, depending on the density of the of the buildings in that area.\\n\\nNote that older items in this dataset are *not* spatially partitioned. We recommend using data with a processing date\\nof 2023-04-25 or newer. This processing date is part of the URL for each parquet file and is captured in the STAC metadata\\nfor each item (see below).\\n\\n## Delta Format\\n\\nThe collection-level asset under the `delta` key gives you the fsspec-style URL\\nto the Delta table. This can be used to efficiently query for matching partitions\\nby `Region` and `quadkey`. See the notebook for an example using Python.\\n\\n## STAC metadata\\n\\nThis STAC collection has one STAC item per region. The `msbuildings:region`\\nproperty can be used to filter items to a specific region, and the `msbuildings:quadkey`\\nproperty can be used to filter items to a specific quadkey (though you can also search\\nby the `geometry`).\\n\\nNote that older STAC items are not spatially partitioned. We recommend filtering on\\nitems with an `msbuildings:processing-date` of `2023-04-25` or newer. See the collection\\nsummary for `msbuildings:processing-date` for a list of valid values.\\n\\n[delta]: https://delta.io/\\n[tiles]: https://learn.microsoft.com/en-us/bingmaps/articles/bing-maps-tile-system\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"bing-maps,buildings,delta,footprint,geoparquet,microsoft,ms-buildings\", \"license\": \"ODbL-1.0\", \"title\": \"Microsoft Building Footprints\", \"missionStartDate\": \"2014-01-01T00:00:00Z\"}, \"sentinel-3-slstr-frp-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SLSTR Level-2 Fire Radiative Power](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-frp) (FRP) products containing data on fires detected over land and ocean.\\n\\n## Data files\\n\\nThe primary measurement data is contained in the `FRP_in.nc` file and provides FRP and uncertainties, projected onto a 1km grid, for fires detected in the thermal infrared (TIR) spectrum over land. Since February 2022, FRP and uncertainties are also provided for fires detected in the short wave infrared (SWIR) spectrum over both land and ocean, with the delivered data projected onto a 500m grid. The latter SWIR-detected fire data is only available for night-time measurements and is contained in the `FRP_an.nc` or `FRP_bn.nc` files.\\n\\nIn addition to the measurement data files, a standard set of annotation data files provide meteorological information, geolocation and time coordinates, geometry information, and quality flags.\\n\\n## Processing\\n\\nThe TIR fire detection is based on measurements from the S7 and F1 bands of the [SLSTR instrument](https://sentinels.copernicus.eu/web/sentinel/technical-guides/sentinel-3-slstr/instrument); SWIR fire detection is based on the S5 and S6 bands. More information about the product and data processing can be found in the [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-frp) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/level-2/frp-processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from August 2020 to present.\\n\", \"instrument\": \"SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,fire,satellite,sentinel,sentinel-3,sentinel-3-slstr-frp-l2-netcdf,sentinel-3a,sentinel-3b,slstr,temperature\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Fire Radiative Power\", \"missionStartDate\": \"2020-08-08T23:11:15.617203Z\"}, \"sentinel-3-synergy-syn-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 Land Surface Reflectance and Aerosol](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-syn) product, which contains data on Surface Directional Reflectance, Aerosol Optical Thickness, and an Angstrom coefficient estimate over land.\\n\\n## Data Files\\n\\nIndividual NetCDF files for the following variables:\\n\\n- Surface Directional Reflectance (SDR) with their associated error estimates for the sun-reflective [SLSTR](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slstr) channels (S1 to S6 for both nadir and oblique views, except S4) and for all [OLCI](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci) channels, except for the oxygen absorption bands Oa13, Oa14, Oa15, and the water vapor bands Oa19 and Oa20.\\n- Aerosol optical thickness at 550nm with error estimates.\\n- Angstrom coefficient at 550nm.\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-syn) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/level-2/syn-level-2-product).\\n\\nThis Collection contains Level-2 data in NetCDF files from September 2018 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"aerosol,copernicus,esa,land,olci,reflectance,satellite,sentinel,sentinel-3,sentinel-3-synergy-syn-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Land Surface Reflectance and Aerosol\", \"missionStartDate\": \"2018-09-22T16:51:00.001276Z\"}, \"sentinel-3-synergy-vgp-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 Top of Atmosphere Reflectance](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vgp) product, which is a SPOT VEGETATION Continuity Product containing measurement data similar to that obtained by the [VEGETATION instrument](https://docs.terrascope.be/#/Satellites/SPOT-VGT/MissionInstruments) onboad the SPOT-3 and SPOT-4 satellites. The primary variables are four top of atmosphere reflectance bands:\\n\\n- B0 (Blue, 450nm)\\n- B2 (Red, 645nm)\\n- B3 (NIR, 835nm)\\n- MIR (SWIR, 1665nm)\\n\\nThe four reflectance bands have center wavelengths matching those on the original SPOT VEGETATION instrument and have been adapted for scientific applications requiring highly accurate physical measurements through correction for systematic errors and re-sampling to predefined geographic projections. The pixel brightness count is the ground area's apparent reflectance as seen at the top of atmosphere.\\n\\n## Data files\\n\\nNetCDF files are provided for the four reflectance bands. Additional metadata are delivered in annotation NetCDF files, each containing a single variable, including the geometric viewing and illumination conditions, the total water vapour and ozone columns, and the aerosol optical depth.\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vgp) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/level-2/vgt-p-product).\\n\\nThis Collection contains Level-2 data in NetCDF files from October 2018 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,olci,reflectance,satellite,sentinel,sentinel-3,sentinel-3-synergy-vgp-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Top of Atmosphere Reflectance (SPOT VEGETATION)\", \"missionStartDate\": \"2018-10-08T08:09:40.491227Z\"}, \"sentinel-3-synergy-vg1-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 1-Day Surface Reflectance and NDVI](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vg1-v10) products, which are SPOT VEGETATION Continuity Products similar to those obtained from the [VEGETATION instrument](https://docs.terrascope.be/#/Satellites/SPOT-VGT/MissionInstruments) onboard the SPOT-4 and SPOT-5 satellites. The primary variables are a maximum Normalized Difference Vegetation Index (NDVI) composite, which is derived from daily ground reflecrtance, and four surface reflectance bands:\\n\\n- B0 (Blue, 450nm)\\n- B2 (Red, 645nm)\\n- B3 (NIR, 835nm)\\n- MIR (SWIR, 1665nm)\\n\\nThe four reflectance bands have center wavelengths matching those on the original SPOT VEGETATION instrument. The NDVI variable, which is an indicator of the amount of vegetation, is derived from the B3 and B2 bands.\\n\\n## Data files\\n\\nThe four reflectance bands and NDVI values are each contained in dedicated NetCDF files. Additional metadata are delivered in annotation NetCDF files, each containing a single variable, including the geometric viewing and illumination conditions, the total water vapour and ozone columns, and the aerosol optical depth.\\n\\nEach 1-day product is delivered as a set of 10 rectangular scenes:\\n\\n- AFRICA\\n- NORTH_AMERICA\\n- SOUTH_AMERICA\\n- CENTRAL_AMERICA\\n- NORTH_ASIA\\n- WEST_ASIA\\n- SOUTH_EAST_ASIA\\n- ASIAN_ISLANDS\\n- AUSTRALASIA\\n- EUROPE\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vg1-v10) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/vgt-s/vg1-product-surface-reflectance).\\n\\nThis Collection contains Level-2 data in NetCDF files from October 2018 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,ndvi,olci,reflectance,satellite,sentinel,sentinel-3,sentinel-3-synergy-vg1-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 1-Day Surface Reflectance and NDVI (SPOT VEGETATION)\", \"missionStartDate\": \"2018-10-04T23:17:21Z\"}, \"esa-worldcover\": {\"abstract\": \"The European Space Agency (ESA) [WorldCover](https://esa-worldcover.org/en) product provides global land cover maps for the years 2020 and 2021 at 10 meter resolution based on the combination of [Sentinel-1](https://sentinel.esa.int/web/sentinel/missions/sentinel-1) radar data and [Sentinel-2](https://sentinel.esa.int/web/sentinel/missions/sentinel-2) imagery. The discrete classification maps provide 11 classes defined using the Land Cover Classification System (LCCS) developed by the United Nations (UN) Food and Agriculture Organization (FAO). The map images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\\nThe WorldCover product is developed by a consortium of European service providers and research organizations. [VITO](https://remotesensing.vito.be/) (Belgium) is the prime contractor of the WorldCover consortium together with [Brockmann Consult](https://www.brockmann-consult.de/) (Germany), [CS SI](https://www.c-s.fr/) (France), [Gamma Remote Sensing AG](https://www.gamma-rs.ch/) (Switzerland), [International Institute for Applied Systems Analysis](https://www.iiasa.ac.at/) (Austria), and [Wageningen University](https://www.wur.nl/nl/Wageningen-University.htm) (The Netherlands).\\n\\nTwo versions of the WorldCover product are available:\\n\\n- WorldCover 2020 produced using v100 of the algorithm\\n - [WorldCover 2020 v100 User Manual](https://esa-worldcover.s3.eu-central-1.amazonaws.com/v100/2020/docs/WorldCover_PUM_V1.0.pdf)\\n - [WorldCover 2020 v100 Validation Report](<https://esa-worldcover.s3.eu-central-1.amazonaws.com/v100/2020/docs/WorldCover_PVR_V1.1.pdf>)\\n\\n- WorldCover 2021 produced using v200 of the algorithm\\n - [WorldCover 2021 v200 User Manual](<https://esa-worldcover.s3.eu-central-1.amazonaws.com/v200/2021/docs/WorldCover_PUM_V2.0.pdf>)\\n - [WorldCover 2021 v200 Validaton Report](<https://esa-worldcover.s3.eu-central-1.amazonaws.com/v200/2021/docs/WorldCover_PVR_V2.0.pdf>)\\n\\nSince the WorldCover maps for 2020 and 2021 were generated with different algorithm versions (v100 and v200, respectively), changes between the maps include both changes in real land cover and changes due to the used algorithms.\\n\", \"instrument\": \"c-sar,msi\", \"platform\": null, \"platformSerialIdentifier\": \"sentinel-1a,sentinel-1b,sentinel-2a,sentinel-2b\", \"processingLevel\": null, \"keywords\": \"c-sar,esa,esa-worldcover,global,land-cover,msi,sentinel,sentinel-1a,sentinel-1b,sentinel-2a,sentinel-2b\", \"license\": \"CC-BY-4.0\", \"title\": \"ESA WorldCover\", \"missionStartDate\": \"2020-01-01T00:00:00Z\"}}}, \"usgs_satapi_aws\": {\"providers_config\": {\"landsat-c2l2-sr\": {\"productType\": \"landsat-c2l2-sr\"}, \"landsat-c2l2-st\": {\"productType\": \"landsat-c2l2-st\"}, \"landsat-c2ard-st\": {\"productType\": \"landsat-c2ard-st\"}, \"landsat-c2l2alb-bt\": {\"productType\": \"landsat-c2l2alb-bt\"}, \"landsat-c2l3-fsca\": {\"productType\": \"landsat-c2l3-fsca\"}, \"landsat-c2ard-bt\": {\"productType\": \"landsat-c2ard-bt\"}, \"landsat-c2l1\": {\"productType\": \"landsat-c2l1\"}, \"landsat-c2l3-ba\": {\"productType\": \"landsat-c2l3-ba\"}, \"landsat-c2l2alb-st\": {\"productType\": \"landsat-c2l2alb-st\"}, \"landsat-c2ard-sr\": {\"productType\": \"landsat-c2ard-sr\"}, \"landsat-c2l2alb-sr\": {\"productType\": \"landsat-c2l2alb-sr\"}, \"landsat-c2l2alb-ta\": {\"productType\": \"landsat-c2l2alb-ta\"}, \"landsat-c2l3-dswe\": {\"productType\": \"landsat-c2l3-dswe\"}, \"landsat-c2ard-ta\": {\"productType\": \"landsat-c2ard-ta\"}}, \"product_types_config\": {\"landsat-c2l2-sr\": {\"abstract\": \"The Landsat Surface Reflectance (SR) product measures the fraction of incoming solar radiation that is reflected from Earth's surface to the Landsat sensor.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2-sr,surface-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 UTM Surface Reflectance (SR) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2-st\": {\"abstract\": \"The Landsat Surface Temperature (ST) product represents the temperature of the Earth's surface in Kelvin (K).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2-st,surface-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 UTM Surface Temperature (ST) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2ard-st\": {\"abstract\": \"The Landsat Surface Temperature (ST) product represents the temperature of the Earth's surface in Kelvin (K).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2ard-st,surface-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Analysis Ready Data (ARD) Level-2 UTM Surface Temperature (ST) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2alb-bt\": {\"abstract\": \"The Landsat Top of Atmosphere Brightness Temperature (BT) product is a top of atmosphere product with radiance calculated 'at-sensor', not atmospherically corrected, and expressed in units of Kelvin.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2alb-bt,top-of-atmosphere-brightness-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 Albers Top of Atmosphere Brightness Temperature (BT) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l3-fsca\": {\"abstract\": \"The Landsat Fractional Snow Covered Area (fSCA) product contains an acquisition-based per-pixel snow cover fraction, an acquisition-based revised cloud mask for quality assessment, and a product metadata file.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,fractional-snow-covered-area,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l3-fsca\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-3 Fractional Snow Covered Area (fSCA) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2ard-bt\": {\"abstract\": \"The Landsat Top of Atmosphere Brightness Temperature (BT) product is a top of atmosphere product with radiance calculated 'at-sensor', not atmospherically corrected, and expressed in units of Kelvin.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2ard-bt,top-of-atmosphere-brightness-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Analysis Ready Data (ARD) Level-2 UTM Top of Atmosphere Brightness Temperature (BT) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l1\": {\"abstract\": \"The Landsat Level-1 product is a top of atmosphere product distributed as scaled and calibrated digital numbers.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_1,LANDSAT_2,LANDSAT_3,LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-1,landsat-2,landsat-3,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l1\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-1 Product\", \"missionStartDate\": \"1972-07-25T00:00:00.000Z\"}, \"landsat-c2l3-ba\": {\"abstract\": \"The Landsat Burned Area (BA) contains two acquisition-based raster data products that represent burn classification and burn probability.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,burned-area,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l3-ba\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-3 Burned Area (BA) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2alb-st\": {\"abstract\": \"The Landsat Surface Temperature (ST) product represents the temperature of the Earth's surface in Kelvin (K).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2alb-st,surface-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 Albers Surface Temperature (ST) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2ard-sr\": {\"abstract\": \"The Landsat Surface Reflectance (SR) product measures the fraction of incoming solar radiation that is reflected from Earth's surface to the Landsat sensor.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2ard-sr,surface-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Analysis Ready Data (ARD) Level-2 UTM Surface Reflectance (SR) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2alb-sr\": {\"abstract\": \"The Landsat Surface Reflectance (SR) product measures the fraction of incoming solar radiation that is reflected from Earth's surface to the Landsat sensor.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2alb-sr,surface-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 Albers Surface Reflectance (SR) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2alb-ta\": {\"abstract\": \"The Landsat Top of Atmosphere (TA) Reflectance product applies per pixel angle band corrections to the Level-1 radiance product.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2alb-ta,top-of-atmosphere-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 Albers Top of Atmosphere (TA) Reflectance Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l3-dswe\": {\"abstract\": \"The Landsat Dynamic Surface Water Extent (DSWE) product contains six acquisition-based raster data products pertaining to the existence and condition of surface water.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,dynamic-surface-water-extent-,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l3-dswe\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-3 Dynamic Surface Water Extent (DSWE) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2ard-ta\": {\"abstract\": \"The Landsat Top of Atmosphere (TA) Reflectance product applies per pixel angle band corrections to the Level-1 radiance product.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2ard-ta,top-of-atmosphere-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Analysis Ready Data (ARD) Level-2 UTM Top of Atmosphere (TA) Reflectance Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}}}}\n+{\"astraea_eod\": {\"providers_config\": {\"landsat8_c2l1t1\": {\"productType\": \"landsat8_c2l1t1\"}, \"mcd43a4\": {\"productType\": \"mcd43a4\"}, \"mod11a1\": {\"productType\": \"mod11a1\"}, \"mod13a1\": {\"productType\": \"mod13a1\"}, \"myd11a1\": {\"productType\": \"myd11a1\"}, \"myd13a1\": {\"productType\": 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The 3DEP program provides raster elevation data for the conterminous United States, Alaska, Hawaii, and the island territories, at a variety of spatial resolutions. The seamless DEM layers produced by the 3DEP program are updated frequently to integrate newly available, improved elevation source data. \\n\\nDEM layers are available nationally at grid spacings of 1 arc-second (approximately 30 meters) for the conterminous United States, and at approximately 1, 3, and 9 meters for parts of the United States. Most seamless DEM data for Alaska is available at a resolution of approximately 60 meters, where only lower resolution source data exist.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-seamless,dem,elevation,ned,usgs\", \"license\": \"PDDL-1.0\", \"title\": \"USGS 3DEP Seamless DEMs\", \"missionStartDate\": \"1925-01-01T00:00:00Z\"}, \"3dep-lidar-dsm\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It creates a Digital Surface Model (DSM) using [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to output a collection of Cloud Optimized GeoTIFFs, removing all points that have been classified as noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-dsm,cog,dsm,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Digital Surface Model\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"fia\": {\"abstract\": \"Status and trends on U.S. forest location, health, growth, mortality, and production, from the U.S. Forest Service's [Forest Inventory and Analysis](https://www.fia.fs.fed.us/) (FIA) program.\\n\\nThe Forest Inventory and Analysis (FIA) dataset is a nationwide survey of the forest assets of the United States. The FIA research program has been in existence since 1928. FIA's primary objective is to determine the extent, condition, volume, growth, and use of trees on the nation's forest land.\\n\\nDomain: continental U.S., 1928-2018\\n\\nResolution: plot-level (irregular polygon)\\n\\nThis dataset was curated and brought to Azure by [CarbonPlan](https://carbonplan.org/).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biomass,carbon,fia,forest,forest-service,species,usda\", \"license\": \"CC0-1.0\", \"title\": \"Forest Inventory and Analysis\", \"missionStartDate\": \"2020-06-01T00:00:00Z\"}, \"sentinel-1-rtc\": {\"abstract\": \"The [Sentinel-1](https://sentinel.esa.int/web/sentinel/missions/sentinel-1) mission is a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging. The Sentinel-1 Radiometrically Terrain Corrected (RTC) data in this collection is a radiometrically terrain corrected product derived from the [Ground Range Detected (GRD) Level-1](https://planetarycomputer.microsoft.com/dataset/sentinel-1-grd) products produced by the European Space Agency. The RTC processing is performed by [Catalyst](https://catalyst.earth/).\\n\\nRadiometric Terrain Correction accounts for terrain variations that affect both the position of a given point on the Earth's surface and the brightness of the radar return, as expressed in radar geometry. Without treatment, the hill-slope modulations of the radiometry threaten to overwhelm weaker thematic land cover-induced backscatter differences. Additionally, comparison of backscatter from multiple satellites, modes, or tracks loses meaning.\\n\\nA Planetary Computer account is required to retrieve SAS tokens to read the RTC data. See the [documentation](http://planetarycomputer.microsoft.com/docs/concepts/sas/#when-an-account-is-needed) for more information.\\n\\n### Methodology\\n\\nThe Sentinel-1 GRD product is converted to calibrated intensity using the conversion algorithm described in the ESA technical note ESA-EOPG-CSCOP-TN-0002, [Radiometric Calibration of S-1 Level-1 Products Generated by the S-1 IPF](https://ai4edatasetspublicassets.blob.core.windows.net/assets/pdfs/sentinel-1/S1-Radiometric-Calibration-V1.0.pdf). The flat earth calibration values for gamma correction (i.e. perpendicular to the radar line of sight) are extracted from the GRD metadata. The calibration coefficients are applied as a two-dimensional correction in range (by sample number) and azimuth (by time). All available polarizations are calibrated and written as separate layers of a single file. The calibrated SAR output is reprojected to nominal map orientation with north at the top and west to the left.\\n\\nThe data is then radiometrically terrain corrected using PlanetDEM as the elevation source. The correction algorithm is nominally based upon D. Small, [\\u201cFlattening Gamma: Radiometric Terrain Correction for SAR Imagery\\u201d](https://ai4edatasetspublicassets.blob.core.windows.net/assets/pdfs/sentinel-1/2011_Flattening_Gamma.pdf), IEEE Transactions on Geoscience and Remote Sensing, Vol 49, No 8., August 2011, pp 3081-3093. For each image scan line, the digital elevation model is interpolated to determine the elevation corresponding to the position associated with the known near slant range distance and arc length for each input pixel. The elevations at the four corners of each pixel are estimated using bilinear resampling. The four elevations are divided into two triangular facets and reprojected onto the plane perpendicular to the radar line of sight to provide an estimate of the area illuminated by the radar for each earth flattened pixel. The uncalibrated sum at each earth flattened pixel is normalized by dividing by the flat earth surface area. The adjustment for gamma intensity is given by dividing the normalized result by the cosine of the incident angle. Pixels which are not illuminated by the radar due to the viewing geometry are flagged as shadow.\\n\\nCalibrated data is then orthorectified to the appropriate UTM projection. The orthorectified output maintains the original sample sizes (in range and azimuth) and was not shifted to any specific grid.\\n\\nRTC data is processed only for the Interferometric Wide Swath (IW) mode, which is the main acquisition mode over land and satisfies the majority of service requirements.\\n\", \"instrument\": null, \"platform\": \"Sentinel-1\", \"platformSerialIdentifier\": \"SENTINEL-1A,SENTINEL-1B\", \"processingLevel\": null, \"keywords\": \"c-band,copernicus,esa,rtc,sar,sentinel,sentinel-1,sentinel-1-rtc,sentinel-1a,sentinel-1b\", \"license\": \"CC-BY-4.0\", \"title\": \"Sentinel 1 Radiometrically Terrain Corrected (RTC)\", \"missionStartDate\": \"2014-10-10T00:28:21Z\"}, \"gridmet\": {\"abstract\": \"gridMET is a dataset of daily surface meteorological data at approximately four-kilometer resolution, covering the contiguous U.S. from 1979 to the present. These data can provide important inputs for ecological, agricultural, and hydrological models.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,gridmet,precipitation,temperature,vapor-pressure,water\", \"license\": \"CC0-1.0\", \"title\": \"gridMET\", \"missionStartDate\": \"1979-01-01T00:00:00Z\"}, \"daymet-annual-na\": {\"abstract\": \"Annual climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1852](https://doi.org/10.3334/ORNLDAAC/1852) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#annual). \\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-annual-na,north-america,precipitation,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Annual North America\", \"missionStartDate\": \"1980-07-01T12:00:00Z\"}, \"daymet-monthly-na\": {\"abstract\": \"Monthly climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1855](https://doi.org/10.3334/ORNLDAAC/1855) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#monthly).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-monthly-na,north-america,precipitation,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Monthly North America\", \"missionStartDate\": \"1980-01-16T12:00:00Z\"}, \"daymet-annual-hi\": {\"abstract\": \"Annual climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1852](https://doi.org/10.3334/ORNLDAAC/1852) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#annual). \\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-annual-hi,hawaii,precipitation,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Annual Hawaii\", \"missionStartDate\": \"1980-07-01T12:00:00Z\"}, \"daymet-monthly-hi\": {\"abstract\": \"Monthly climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1855](https://doi.org/10.3334/ORNLDAAC/1855) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#monthly).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-monthly-hi,hawaii,precipitation,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Monthly Hawaii\", \"missionStartDate\": \"1980-01-16T12:00:00Z\"}, \"daymet-monthly-pr\": {\"abstract\": \"Monthly climate summaries derived from [Daymet](https://daymet.ornl.gov) Version 4 daily data at a 1 km x 1 km spatial resolution for five variables: minimum and maximum temperature, precipitation, vapor pressure, and snow water equivalent. Annual averages are provided for minimum and maximum temperature, vapor pressure, and snow water equivalent, and annual totals are provided for the precipitation variable.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1855](https://doi.org/10.3334/ORNLDAAC/1855) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#monthly).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,daymet,daymet-monthly-pr,precipitation,puerto-rico,temperature,vapor-pressure\", \"license\": \"proprietary\", \"title\": \"Daymet Monthly Puerto Rico\", \"missionStartDate\": \"1980-01-16T12:00:00Z\"}, \"gnatsgo-tables\": {\"abstract\": \"This collection contains the table data for gNATSGO. This table data can be used to determine the values of raster data cells for Items in the [gNATSGO Rasters](https://planetarycomputer.microsoft.com/dataset/gnatsgo-rasters) Collection.\\n\\nThe gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS Soil & Plant Science Division (SPSD) composite database that provides complete coverage of the best available soils information for all areas of the United States and Island Territories. It was created by combining data from the Soil Survey Geographic Database (SSURGO), State Soil Geographic Database (STATSGO2), and Raster Soil Survey Databases (RSS) into a single seamless ESRI file geodatabase.\\n\\nSSURGO is the SPSD flagship soils database that has over 100 years of field-validated detailed soil mapping data. SSURGO contains soils information for more than 90 percent of the United States and island territories, but unmapped land remains. STATSGO2 is a general soil map that has soils data for all of the United States and island territories, but the data is not as detailed as the SSURGO data. The Raster Soil Surveys (RSSs) are the next generation soil survey databases developed using advanced digital soil mapping methods.\\n\\nThe gNATSGO database is composed primarily of SSURGO data, but STATSGO2 data was used to fill in the gaps. The RSSs are newer product with relatively limited spatial extent. These RSSs were merged into the gNATSGO after combining the SSURGO and STATSGO2 data. The extent of RSS is expected to increase in the coming years.\\n\\nSee the [official documentation](https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"gnatsgo-tables,natsgo,rss,soils,ssurgo,statsgo2,united-states,usda\", \"license\": \"CC0-1.0\", \"title\": \"gNATSGO Soil Database - Tables\", \"missionStartDate\": \"2020-07-01T00:00:00Z\"}, \"hgb\": {\"abstract\": \"This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at 300m resolution. The aboveground biomass map integrates land-cover-specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were amassed from the published literature and, where necessary, updated to cover the focal extent or time period. The belowground biomass map similarly integrates matching maps derived from each aboveground biomass map and land-cover-specific empirical models. Aboveground and belowground maps were then integrated separately using ancillary maps of percent tree/land cover and a rule-based decision tree. Maps reporting the accumulated uncertainty of pixel-level estimates are also provided.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biomass,carbon,hgb,ornl\", \"license\": \"proprietary\", \"title\": \"HGB: Harmonized Global Biomass for 2010\", \"missionStartDate\": \"2010-12-31T00:00:00Z\"}, \"cop-dem-glo-30\": {\"abstract\": \"The Copernicus DEM is a digital surface model (DSM), which represents the surface of the Earth including buildings, infrastructure, and vegetation. This DSM is based on radar satellite data acquired during the TanDEM-X Mission, which was funded by a public-private partnership between the German Aerospace Centre (DLR) and Airbus Defence and Space.\\n\\nCopernicus DEM is available at both 30-meter and 90-meter resolution; this dataset has a horizontal resolution of approximately 30 meters.\\n\\nSee the [Product Handbook](https://object.cloud.sdsc.edu/v1/AUTH_opentopography/www/metadata/Copernicus_metadata.pdf) for more information.\\n\\nSee the dataset page on OpenTopography: <https://doi.org/10.5069/G9028PQB>\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"tandem-x\", \"processingLevel\": null, \"keywords\": \"cop-dem-glo-30,copernicus,dem,dsm,elevation,tandem-x\", \"license\": \"proprietary\", \"title\": \"Copernicus DEM GLO-30\", \"missionStartDate\": \"2021-04-22T00:00:00Z\"}, \"cop-dem-glo-90\": {\"abstract\": \"The Copernicus DEM is a digital surface model (DSM), which represents the surface of the Earth including buildings, infrastructure, and vegetation. This DSM is based on radar satellite data acquired during the TanDEM-X Mission, which was funded by a public-private partnership between the German Aerospace Centre (DLR) and Airbus Defence and Space.\\n\\nCopernicus DEM is available at both 30-meter and 90-meter resolution; this dataset has a horizontal resolution of approximately 90 meters.\\n\\nSee the [Product Handbook](https://object.cloud.sdsc.edu/v1/AUTH_opentopography/www/metadata/Copernicus_metadata.pdf) for more information.\\n\\nSee the dataset page on OpenTopography: <https://doi.org/10.5069/G9028PQB>\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"tandem-x\", \"processingLevel\": null, \"keywords\": \"cop-dem-glo-90,copernicus,dem,elevation,tandem-x\", \"license\": \"proprietary\", \"title\": \"Copernicus DEM GLO-90\", \"missionStartDate\": \"2021-04-22T00:00:00Z\"}, \"goes-cmi\": {\"abstract\": \"The GOES-R Advanced Baseline Imager (ABI) L2 Cloud and Moisture Imagery product provides 16 reflective and emissive bands at high temporal cadence over the Western Hemisphere.\\n\\nThe GOES-R series is the latest in the Geostationary Operational Environmental Satellites (GOES) program, which has been operated in a collaborative effort by NOAA and NASA since 1975. The operational GOES-R Satellites, GOES-16, GOES-17, and GOES-18, capture 16-band imagery from geostationary orbits over the Western Hemisphere via the Advance Baseline Imager (ABI) radiometer. The ABI captures 2 visible, 4 near-infrared, and 10 infrared channels at resolutions between 0.5km and 2km.\\n\\n### Geographic coverage\\n\\nThe ABI captures three levels of coverage, each at a different temporal cadence depending on the modes described below. The geographic coverage for each image is described by the `goes:image-type` STAC Item property.\\n\\n- _FULL DISK_: a circular image depicting nearly full coverage of the Western Hemisphere.\\n- _CONUS_: a 3,000 (lat) by 5,000 (lon) km rectangular image depicting the Continental U.S. (GOES-16) or the Pacific Ocean including Hawaii (GOES-17).\\n- _MESOSCALE_: a 1,000 by 1,000 km rectangular image. GOES-16 and 17 both alternate between two different mesoscale geographic regions.\\n\\n### Modes\\n\\nThere are three standard scanning modes for the ABI instrument: Mode 3, Mode 4, and Mode 6.\\n\\n- Mode _3_ consists of one observation of the full disk scene of the Earth, three observations of the continental United States (CONUS), and thirty observations for each of two distinct mesoscale views every fifteen minutes.\\n- Mode _4_ consists of the observation of the full disk scene every five minutes.\\n- Mode _6_ consists of one observation of the full disk scene of the Earth, two observations of the continental United States (CONUS), and twenty observations for each of two distinct mesoscale views every ten minutes.\\n\\nThe mode that each image was captured with is described by the `goes:mode` STAC Item property.\\n\\nSee this [ABI Scan Mode Demonstration](https://youtu.be/_c5H6R-M0s8) video for an idea of how the ABI scans multiple geographic regions over time.\\n\\n### Cloud and Moisture Imagery\\n\\nThe Cloud and Moisture Imagery product contains one or more images with pixel values identifying \\\"brightness values\\\" that are scaled to support visual analysis. Cloud and Moisture Imagery product (CMIP) files are generated for each of the sixteen ABI reflective and emissive bands. In addition, there is a multi-band product file that includes the imagery at all bands (MCMIP).\\n\\nThe Planetary Computer STAC Collection `goes-cmi` captures both the CMIP and MCMIP product files into individual STAC Items for each observation from a GOES-R satellite. It contains the original CMIP and MCMIP NetCDF files, as well as cloud-optimized GeoTIFF (COG) exports of the data from each MCMIP band (2km); the full-resolution CMIP band for bands 1, 2, 3, and 5; and a Web Mercator COG of bands 1, 2 and 3, which are useful for rendering.\\n\\nThis product is not in a standard coordinate reference system (CRS), which can cause issues with some tooling that does not handle non-standard large geographic regions.\\n\\n### For more information\\n- [Beginner\\u2019s Guide to GOES-R Series Data](https://www.goes-r.gov/downloads/resources/documents/Beginners_Guide_to_GOES-R_Series_Data.pdf)\\n- [GOES-R Series Product Definition and Users\\u2019 Guide: Volume 5 (Level 2A+ Products)](https://www.goes-r.gov/products/docs/PUG-L2+-vol5.pdf) ([Spanish verison](https://github.com/NOAA-Big-Data-Program/bdp-data-docs/raw/main/GOES/QuickGuides/Spanish/Guia%20introductoria%20para%20datos%20de%20la%20serie%20GOES-R%20V1.1%20FINAL2%20-%20Copy.pdf))\\n\\n\", \"instrument\": \"ABI\", \"platform\": null, \"platformSerialIdentifier\": \"GOES-16,GOES-17,GOES-18\", \"processingLevel\": null, \"keywords\": \"abi,cloud,goes,goes-16,goes-17,goes-18,goes-cmi,moisture,nasa,noaa,satellite\", \"license\": \"proprietary\", \"title\": \"GOES-R Cloud & Moisture Imagery\", \"missionStartDate\": \"2017-02-28T00:16:52Z\"}, \"terraclimate\": {\"abstract\": \"[TerraClimate](http://www.climatologylab.org/terraclimate.html) is a dataset of monthly climate and climatic water balance for global terrestrial surfaces from 1958 to the present. These data provide important inputs for ecological and hydrological studies at global scales that require high spatial resolution and time-varying data. All data have monthly temporal resolution and a ~4-km (1/24th degree) spatial resolution. This dataset is provided in [Zarr](https://zarr.readthedocs.io/) format.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,precipitation,temperature,terraclimate,vapor-pressure,water\", \"license\": \"CC0-1.0\", \"title\": \"TerraClimate\", \"missionStartDate\": \"1958-01-01T00:00:00Z\"}, \"nasa-nex-gddp-cmip6\": {\"abstract\": \"The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four \\u201cTier 1\\u201d greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed through the Earth System Grid Federation. The purpose of this dataset is to provide a set of global, high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions.\\n\\nThe [NASA Center for Climate Simulation](https://www.nccs.nasa.gov/) maintains the [next-gddp-cmip6 product page](https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6) where you can find more information about these datasets. Users are encouraged to review the [technote](https://www.nccs.nasa.gov/sites/default/files/NEX-GDDP-CMIP6-Tech_Note.pdf), provided alongside the data set, where more detailed information, references and acknowledgements can be found.\\n\\nThis collection contains many NetCDF files. There is one NetCDF file per `(model, scenario, variable, year)` tuple.\\n\\n- **model** is the name of a modeling group (e.g. \\\"ACCESS-CM-2\\\"). See the `cmip6:model` summary in the STAC collection for a full list of models.\\n- **scenario** is one of \\\"historical\\\", \\\"ssp245\\\" or \\\"ssp585\\\".\\n- **variable** is one of \\\"hurs\\\", \\\"huss\\\", \\\"pr\\\", \\\"rlds\\\", \\\"rsds\\\", \\\"sfcWind\\\", \\\"tas\\\", \\\"tasmax\\\", \\\"tasmin\\\".\\n- **year** depends on the value of *scenario*. For \\\"historical\\\", the values range from 1950 to 2014 (inclusive). For \\\"ssp245\\\" and \\\"ssp585\\\", the years range from 2015 to 2100 (inclusive).\\n\\nIn addition to the NetCDF files, we provide some *experimental* **reference files** as collection-level dataset assets. These are JSON files implementing the [references specification](https://fsspec.github.io/kerchunk/spec.html).\\nThese files include the positions of data variables within the binary NetCDF files, which can speed up reading the metadata. See the example notebook for more.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,cmip6,humidity,nasa,nasa-nex-gddp-cmip6,precipitation,temperature\", \"license\": \"proprietary\", \"title\": \"Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)\", \"missionStartDate\": \"1950-01-01T00:00:00Z\"}, \"gpm-imerg-hhr\": {\"abstract\": \"The Integrated Multi-satellitE Retrievals for GPM (IMERG) algorithm combines information from the [GPM satellite constellation](https://gpm.nasa.gov/missions/gpm/constellation) to estimate precipitation over the majority of the Earth's surface. This algorithm is particularly valuable over the majority of the Earth's surface that lacks precipitation-measuring instruments on the ground. Now in the latest Version 06 release of IMERG the algorithm fuses the early precipitation estimates collected during the operation of the TRMM satellite (2000 - 2015) with more recent precipitation estimates collected during operation of the GPM satellite (2014 - present). The longer the record, the more valuable it is, as researchers and application developers will attest. By being able to compare and contrast past and present data, researchers are better informed to make climate and weather models more accurate, better understand normal and extreme rain and snowfall around the world, and strengthen applications for current and future disasters, disease, resource management, energy production and food security.\\n\\nFor more, see the [IMERG homepage](https://gpm.nasa.gov/data/imerg) The [IMERG Technical documentation](https://gpm.nasa.gov/sites/default/files/2020-10/IMERG_doc_201006.pdf) provides more information on the algorithm, input datasets, and output products.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"gpm,gpm-imerg-hhr,imerg,precipitation\", \"license\": \"proprietary\", \"title\": \"GPM IMERG\", \"missionStartDate\": \"2000-06-01T00:00:00Z\"}, \"gnatsgo-rasters\": {\"abstract\": \"This collection contains the raster data for gNATSGO. In order to use the map unit values contained in the `mukey` raster asset, you'll need to join to tables represented as Items in the [gNATSGO Tables](https://planetarycomputer.microsoft.com/dataset/gnatsgo-tables) Collection. Many items have commonly used values encoded in additional raster assets.\\n\\nThe gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS Soil & Plant Science Division (SPSD) composite database that provides complete coverage of the best available soils information for all areas of the United States and Island Territories. It was created by combining data from the Soil Survey Geographic Database (SSURGO), State Soil Geographic Database (STATSGO2), and Raster Soil Survey Databases (RSS) into a single seamless ESRI file geodatabase.\\n\\nSSURGO is the SPSD flagship soils database that has over 100 years of field-validated detailed soil mapping data. SSURGO contains soils information for more than 90 percent of the United States and island territories, but unmapped land remains. STATSGO2 is a general soil map that has soils data for all of the United States and island territories, but the data is not as detailed as the SSURGO data. The Raster Soil Surveys (RSSs) are the next generation soil survey databases developed using advanced digital soil mapping methods.\\n\\nThe gNATSGO database is composed primarily of SSURGO data, but STATSGO2 data was used to fill in the gaps. The RSSs are newer product with relatively limited spatial extent. These RSSs were merged into the gNATSGO after combining the SSURGO and STATSGO2 data. The extent of RSS is expected to increase in the coming years.\\n\\nSee the [official documentation](https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"gnatsgo-rasters,natsgo,rss,soils,ssurgo,statsgo2,united-states,usda\", \"license\": \"CC0-1.0\", \"title\": \"gNATSGO Soil Database - Rasters\", \"missionStartDate\": \"2020-07-01T00:00:00Z\"}, \"3dep-lidar-hag\": {\"abstract\": \"This COG type is generated using the Z dimension of the [COPC data](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc) data and removes noise, water, and using [`pdal.filters.smrf`](https://pdal.io/stages/filters.smrf.html#filters-smrf) followed by [pdal.filters.hag_nn](https://pdal.io/stages/filters.hag_nn.html#filters-hag-nn).\\n\\nThe Height Above Ground Nearest Neighbor filter takes as input a point cloud with Classification set to 2 for ground points. It creates a new dimension, HeightAboveGround, that contains the normalized height values.\\n\\nGround points may be generated with [`pdal.filters.pmf`](https://pdal.io/stages/filters.pmf.html#filters-pmf) or [`pdal.filters.smrf`](https://pdal.io/stages/filters.smrf.html#filters-smrf), but you can use any method you choose, as long as the ground returns are marked.\\n\\nNormalized heights are a commonly used attribute of point cloud data. This can also be referred to as height above ground (HAG) or above ground level (AGL) heights. In the end, it is simply a measure of a point's relative height as opposed to its raw elevation value.\\n\\nThe filter finds the number of ground points nearest to the non-ground point under consideration. It calculates an average ground height weighted by the distance of each ground point from the non-ground point. The HeightAboveGround is the difference between the Z value of the non-ground point and the interpolated ground height.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-hag,cog,elevation,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Height above Ground\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"3dep-lidar-intensity\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It is a collection of Cloud Optimized GeoTIFFs representing the pulse return magnitude.\\n\\nThe values are based on the Intensity [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.outlier`](https://pdal.io/stages/filters.outlier.html#filters-outlier) and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to remove outliers and noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-intensity,cog,intensity,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Intensity\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"3dep-lidar-pointsourceid\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It is a collection of Cloud Optimized GeoTIFFs representing the file source ID from which the point originated. Zero indicates that the point originated in the current file.\\n\\nThis values are based on the PointSourceId [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.outlier`](https://pdal.io/stages/filters.outlier.html#filters-outlier) and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to remove outliers and noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-pointsourceid,cog,pointsourceid,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Point Source\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"mtbs\": {\"abstract\": \"[Monitoring Trends in Burn Severity](https://www.mtbs.gov/) (MTBS) is an inter-agency program whose goal is to consistently map the burn severity and extent of large fires across the United States from 1984 to the present. This includes all fires 1000 acres or greater in the Western United States and 500 acres or greater in the Eastern United States. The burn severity mosaics in this dataset consist of thematic raster images of MTBS burn severity classes for all currently completed MTBS fires for the continental United States and Alaska.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"fire,forest,mtbs,usda,usfs,usgs\", \"license\": \"proprietary\", \"title\": \"MTBS: Monitoring Trends in Burn Severity\", \"missionStartDate\": \"1984-12-31T00:00:00Z\"}, \"noaa-c-cap\": {\"abstract\": \"Nationally standardized, raster-based inventories of land cover for the coastal areas of the U.S. Data are derived, through the Coastal Change Analysis Program, from the analysis of multiple dates of remotely sensed imagery. Two file types are available: individual dates that supply a wall-to-wall map, and change files that compare one date to another. The use of standardized data and procedures assures consistency through time and across geographies. C-CAP data forms the coastal expression of the National Land Cover Database (NLCD) and the A-16 land cover theme of the National Spatial Data Infrastructure. The data are updated every 5 years.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"coastal,land-cover,land-use,noaa,noaa-c-cap\", \"license\": \"proprietary\", \"title\": \"C-CAP Regional Land Cover and Change\", \"missionStartDate\": \"1975-01-01T00:00:00Z\"}, \"3dep-lidar-copc\": {\"abstract\": \"This collection contains source data from the [USGS 3DEP program](https://www.usgs.gov/3d-elevation-program) reformatted into the [COPC](https://copc.io) format. A COPC file is a LAZ 1.4 file that stores point data organized in a clustered octree. It contains a VLR that describes the octree organization of data that are stored in LAZ 1.4 chunks. The end product is a one-to-one mapping of LAZ to UTM-reprojected COPC files.\\n\\nLAZ data is geospatial [LiDAR point cloud](https://en.wikipedia.org/wiki/Point_cloud) (LPC) content stored in the compressed [LASzip](https://laszip.org?) format. Data were reorganized and stored in LAZ-compatible [COPC](https://copc.io) organization for use in Planetary Computer, which supports incremental spatial access and cloud streaming.\\n\\nLPC can be summarized for construction of digital terrain models (DTM), filtered for extraction of features like vegetation and buildings, and visualized to provide a point cloud map of the physical spaces the laser scanner interacted with. LPC content from 3DEP is used to compute and extract a variety of landscape characterization products, and some of them are provided by Planetary Computer, including Height Above Ground, Relative Intensity Image, and DTM and Digital Surface Models.\\n\\nThe LAZ tiles represent a one-to-one mapping of original tiled content as provided by the [USGS 3DEP program](https://www.usgs.gov/3d-elevation-program), with the exception that the data were reprojected and normalized into appropriate UTM zones for their location without adjustment to the vertical datum. In some cases, vertical datum description may not match actual data values, especially for pre-2010 USGS 3DEP point cloud data.\\n\\nIn addition to these COPC files, various higher-level derived products are available as Cloud Optimized GeoTIFFs in [other collections](https://planetarycomputer.microsoft.com/dataset/group/3dep-lidar).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-copc,cog,point-cloud,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Point Cloud\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"modis-64A1-061\": {\"abstract\": \"The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500 meter (m) product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance imagery coupled with 1 kilometer (km) MODIS active fire observations. The algorithm uses a burn sensitive Vegetation Index (VI) to create dynamic thresholds that are applied to the composite data. The VI is derived from MODIS shortwave infrared atmospherically corrected surface reflectance bands 5 and 7 with a measure of temporal texture. The algorithm identifies the date of burn for the 500 m grid cells within each individual MODIS tile. The date is encoded in a single data layer as the ordinal day of the calendar year on which the burn occurred with values assigned to unburned land pixels and additional special values reserved for missing data and water grid cells. The data layers provided in the MCD64A1 product include Burn Date, Burn Data Uncertainty, Quality Assurance, along with First Day and Last Day of reliable change detection of the year.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,fire,global,imagery,mcd64a1,modis,modis-64a1-061,nasa,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Burned Area Monthly\", \"missionStartDate\": \"2000-11-01T00:00:00Z\"}, \"alos-fnf-mosaic\": {\"abstract\": \"The global 25m resolution SAR mosaics and forest/non-forest maps are free and open annual datasets generated by [JAXA](https://www.eorc.jaxa.jp/ALOS/en/dataset/fnf_e.htm) using the L-band Synthetic Aperture Radar sensors on the Advanced Land Observing Satellite-2 (ALOS-2 PALSAR-2), the Advanced Land Observing Satellite (ALOS PALSAR) and the Japanese Earth Resources Satellite-1 (JERS-1 SAR).\\n\\nThe global forest/non-forest maps (FNF) were generated by a Random Forest machine learning-based classification method, with the re-processed global 25m resolution [PALSAR-2 mosaic dataset](https://planetarycomputer.microsoft.com/dataset/alos-palsar-mosaic) (Ver. 2.0.0) as input. Here, the \\\"forest\\\" is defined as the tree covered land with an area larger than 0.5 ha and a canopy cover of over 10 %, in accordance with the FAO definition of forest. The classification results are presented in four categories, with two categories of forest areas: forests with a canopy cover of 90 % or more and forests with a canopy cover of 10 % to 90 %, depending on the density of the forest area.\\n\\nSee the [Product Description](https://www.eorc.jaxa.jp/ALOS/en/dataset/pdf/DatasetDescription_PALSAR2_FNF_V200.pdf) for more details.\\n\", \"instrument\": \"PALSAR,PALSAR-2\", \"platform\": null, \"platformSerialIdentifier\": \"ALOS,ALOS-2\", \"processingLevel\": null, \"keywords\": \"alos,alos-2,alos-fnf-mosaic,forest,global,jaxa,land-cover,palsar,palsar-2\", \"license\": \"proprietary\", \"title\": \"ALOS Forest/Non-Forest Annual Mosaic\", \"missionStartDate\": \"2015-01-01T00:00:00Z\"}, \"3dep-lidar-returns\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It is a collection of Cloud Optimized GeoTIFFs representing the number of returns for a given pulse.\\n\\nThis values are based on the PointSourceId [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.outlier`](https://pdal.io/stages/filters.outlier.html#filters-outlier) and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to remove outliers and noise.\\n\\nThe values are based on the NumberOfReturns [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.outlier`](https://pdal.io/stages/filters.outlier.html#filters-outlier) and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to remove outliers and noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-returns,cog,numberofreturns,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Returns\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"mobi\": {\"abstract\": \"The [Map of Biodiversity Importance](https://www.natureserve.org/conservation-tools/projects/map-biodiversity-importance) (MoBI) consists of raster maps that combine habitat information for 2,216 imperiled species occurring in the conterminous United States, using weightings based on range size and degree of protection to identify areas of high importance for biodiversity conservation. Species included in the project are those which, as of September 2018, had a global conservation status of G1 (critical imperiled) or G2 (imperiled) or which are listed as threatened or endangered at the full species level under the United States Endangered Species Act. Taxonomic groups included in the project are vertebrates (birds, mammals, amphibians, reptiles, turtles, crocodilians, and freshwater and anadromous fishes), vascular plants, selected aquatic invertebrates (freshwater mussels and crayfish) and selected pollinators (bumblebees, butterflies, and skippers).\\n\\nThere are three types of spatial data provided, described in more detail below: species richness, range-size rarity, and protection-weighted range-size rarity. For each type, this data set includes five different layers – one for all species combined, and four additional layers that break the data down by taxonomic group (vertebrates, plants, freshwater invertebrates, and pollinators) – for a total of fifteen layers.\\n\\nThese data layers are intended to identify areas of high potential value for on-the-ground biodiversity protection efforts. As a synthesis of predictive models, they cannot guarantee either the presence or absence of imperiled species at a given location. For site-specific decision-making, these data should be used in conjunction with field surveys and/or documented occurrence data, such as is available from the [NatureServe Network](https://www.natureserve.org/natureserve-network).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biodiversity,mobi,natureserve,united-states\", \"license\": \"proprietary\", \"title\": \"MoBI: Map of Biodiversity Importance\", \"missionStartDate\": \"2020-04-14T00:00:00Z\"}, \"landsat-c2-l2\": {\"abstract\": \"Landsat Collection 2 Level-2 [Science Products](https://www.usgs.gov/landsat-missions/landsat-collection-2-level-2-science-products), consisting of atmospherically corrected [surface reflectance](https://www.usgs.gov/landsat-missions/landsat-collection-2-surface-reflectance) and [surface temperature](https://www.usgs.gov/landsat-missions/landsat-collection-2-surface-temperature) image data. Collection 2 Level-2 Science Products are available from August 22, 1982 to present.\\n\\nThis dataset represents the global archive of Level-2 data from [Landsat Collection 2](https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collection-2) acquired by the [Thematic Mapper](https://landsat.gsfc.nasa.gov/thematic-mapper/) onboard Landsat 4 and 5, the [Enhanced Thematic Mapper](https://landsat.gsfc.nasa.gov/the-enhanced-thematic-mapper-plus-etm/) onboard Landsat 7, and the [Operatational Land Imager](https://landsat.gsfc.nasa.gov/satellites/landsat-8/spacecraft-instruments/operational-land-imager/) and [Thermal Infrared Sensor](https://landsat.gsfc.nasa.gov/satellites/landsat-8/spacecraft-instruments/thermal-infrared-sensor/) onboard Landsat 8 and 9. Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\", \"instrument\": \"tm,etm+,oli,tirs\", \"platform\": null, \"platformSerialIdentifier\": \"landsat-4,landsat-5,landsat-7,landsat-8,landsat-9\", \"processingLevel\": null, \"keywords\": \"etm+,global,imagery,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2-l2,nasa,oli,reflectance,satellite,temperature,tirs,tm,usgs\", \"license\": \"proprietary\", \"title\": \"Landsat Collection 2 Level-2\", \"missionStartDate\": \"1982-08-22T00:00:00Z\"}, \"era5-pds\": {\"abstract\": \"ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate\\ncovering the period from January 1950 to present. ERA5 is produced by the\\nCopernicus Climate Change Service (C3S) at ECMWF.\\n\\nReanalysis combines model data with observations from across the world into a\\nglobally complete and consistent dataset using the laws of physics. This\\nprinciple, called data assimilation, is based on the method used by numerical\\nweather prediction centres, where every so many hours (12 hours at ECMWF) a\\nprevious forecast is combined with newly available observations in an optimal\\nway to produce a new best estimate of the state of the atmosphere, called\\nanalysis, from which an updated, improved forecast is issued. Reanalysis works\\nin the same way, but at reduced resolution to allow for the provision of a\\ndataset spanning back several decades. Reanalysis does not have the constraint\\nof issuing timely forecasts, so there is more time to collect observations, and\\nwhen going further back in time, to allow for the ingestion of improved versions\\nof the original observations, which all benefit the quality of the reanalysis\\nproduct.\\n\\nThis dataset was converted to Zarr by [Planet OS](https://planetos.com/).\\nSee [their documentation](https://github.com/planet-os/notebooks/blob/master/aws/era5-pds.md)\\nfor more.\\n\\n## STAC Metadata\\n\\nTwo types of data variables are provided: \\\"forecast\\\" (`fc`) and \\\"analysis\\\" (`an`).\\n\\n* An **analysis**, of the atmospheric conditions, is a blend of observations\\n with a previous forecast. An analysis can only provide\\n [instantaneous](https://confluence.ecmwf.int/display/CKB/Model+grid+box+and+time+step)\\n parameters (parameters valid at a specific time, e.g temperature at 12:00),\\n but not accumulated parameters, mean rates or min/max parameters.\\n* A **forecast** starts with an analysis at a specific time (the 'initialization\\n time'), and a model computes the atmospheric conditions for a number of\\n 'forecast steps', at increasing 'validity times', into the future. A forecast\\n can provide\\n [instantaneous](https://confluence.ecmwf.int/display/CKB/Model+grid+box+and+time+step)\\n parameters, accumulated parameters, mean rates, and min/max parameters.\\n\\nEach [STAC](https://stacspec.org/) item in this collection covers a single month\\nand the entire globe. There are two STAC items per month, one for each type of data\\nvariable (`fc` and `an`). The STAC items include an `ecmwf:kind` properties to\\nindicate which kind of variables that STAC item catalogs.\\n\\n## How to acknowledge, cite and refer to ERA5\\n\\nAll users of data on the Climate Data Store (CDS) disks (using either the web interface or the CDS API) must provide clear and visible attribution to the Copernicus programme and are asked to cite and reference the dataset provider:\\n\\nAcknowledge according to the [licence to use Copernicus Products](https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf).\\n\\nCite each dataset used as indicated on the relevant CDS entries (see link to \\\"Citation\\\" under References on the Overview page of the dataset entry).\\n\\nThroughout the content of your publication, the dataset used is referred to as Author (YYYY).\\n\\nThe 3-steps procedure above is illustrated with this example: [Use Case 2: ERA5 hourly data on single levels from 1979 to present](https://confluence.ecmwf.int/display/CKB/Use+Case+2%3A+ERA5+hourly+data+on+single+levels+from+1979+to+present).\\n\\nFor complete details, please refer to [How to acknowledge and cite a Climate Data Store (CDS) catalogue entry and the data published as part of it](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"ecmwf,era5,era5-pds,precipitation,reanalysis,temperature,weather\", \"license\": \"proprietary\", \"title\": \"ERA5 - PDS\", \"missionStartDate\": \"1979-01-01T00:00:00Z\"}, \"chloris-biomass\": {\"abstract\": \"The Chloris Global Biomass 2003 - 2019 dataset provides estimates of stock and change in aboveground biomass for Earth's terrestrial woody vegetation ecosystems. It covers the period 2003 - 2019, at annual time steps. The global dataset has a circa 4.6 km spatial resolution.\\n\\nThe maps and data sets were generated by combining multiple remote sensing measurements from space borne satellites, processed using state-of-the-art machine learning and statistical methods, validated with field data from multiple countries. The dataset provides direct estimates of aboveground stock and change, and are not based on land use or land cover area change, and as such they include gains and losses of carbon stock in all types of woody vegetation - whether natural or plantations.\\n\\nAnnual stocks are expressed in units of tons of biomass. Annual changes in stocks are expressed in units of CO2 equivalent, i.e., the amount of CO2 released from or taken up by terrestrial ecosystems for that specific pixel.\\n\\nThe spatial data sets are available on [Microsoft\\u2019s Planetary Computer](https://planetarycomputer.microsoft.com/dataset/chloris-biomass) under a Creative Common license of the type Attribution-Non Commercial-Share Alike [CC BY-NC-SA](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html).\\n\\n[Chloris Geospatial](https://chloris.earth/) is a mission-driven technology company that develops software and data products on the state of natural capital for use by business, governments, and the social sector.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biomass,carbon,chloris,chloris-biomass,modis\", \"license\": \"CC-BY-NC-SA-4.0\", \"title\": \"Chloris Biomass\", \"missionStartDate\": \"2003-07-31T00:00:00Z\"}, \"kaza-hydroforecast\": {\"abstract\": \"This dataset is a daily updated set of HydroForecast seasonal river flow forecasts at six locations in the Kwando and Upper Zambezi river basins. More details about the locations, project context, and to interactively view current and previous forecasts, visit our [public website](https://dashboard.hydroforecast.com/public/wwf-kaza).\\n\\n## Flow forecast dataset and model description\\n\\n[HydroForecast](https://www.upstream.tech/hydroforecast) is a theory-guided machine learning hydrologic model that predicts streamflow in basins across the world. For the Kwando and Upper Zambezi, HydroForecast makes daily predictions of streamflow rates using a [seasonal analog approach](https://support.upstream.tech/article/125-seasonal-analog-model-a-technical-overview). The model's output is probabilistic and the mean, median and a range of quantiles are available at each forecast step.\\n\\nThe underlying model has the following attributes: \\n\\n* Timestep: 10 days\\n* Horizon: 10 to 180 days \\n* Update frequency: daily\\n* Units: cubic meters per second (m\\u00b3/s)\\n \\n## Site details\\n\\nThe model produces output for six locations in the Kwando and Upper Zambezi river basins.\\n\\n* Upper Zambezi sites\\n * Zambezi at Chavuma\\n * Luanginga at Kalabo\\n* Kwando basin sites\\n * Kwando at Kongola -- total basin flows\\n * Kwando Sub-basin 1\\n * Kwando Sub-basin 2 \\n * Kwando Sub-basin 3\\n * Kwando Sub-basin 4\\n * Kwando Kongola Sub-basin\\n\\n## STAC metadata\\n\\nThere is one STAC item per location. Each STAC item has a single asset linking to a Parquet file in Azure Blob Storage.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"hydroforecast,hydrology,kaza-hydroforecast,streamflow,upstream-tech,water\", \"license\": \"CDLA-Sharing-1.0\", \"title\": \"HydroForecast - Kwando & Upper Zambezi Rivers\", \"missionStartDate\": \"2022-01-01T00:00:00Z\"}, \"planet-nicfi-analytic\": {\"abstract\": \"*Note: Assets in this collection are only available to winners of the [GEO-Microsoft Planetary Computer RFP](https://www.earthobservations.org/geo_blog_obs.php?id=528). Others wishing to use the data can sign up and access it from Planet at [https://www.planet.com/nicfi/](https://www.planet.com/nicfi/) and email [planetarycomputer@microsoft.com](mailto:planetarycomputer@microsoft.com).*\\n\\nThrough Norway\\u2019s International Climate & Forests Initiative (NICFI), users can access Planet\\u2019s high-resolution, analysis-ready mosaics of the world\\u2019s tropics in order to help reduce and reverse the loss of tropical forests, combat climate change, conserve biodiversity, and facilitate sustainable development.\\n\\nIn support of NICFI\\u2019s mission, you can use this data for a number of projects including, but not limited to:\\n\\n* Advance scientific research about the world\\u2019s tropical forests and the critical services they provide.\\n* Implement and improve policies for sustainable forest management and land use in developing tropical forest countries and jurisdictions.\\n* Increase transparency and accountability in the tropics.\\n* Protect and improve the rights of indigenous peoples and local communities in tropical forest countries.\\n* Innovate solutions towards reducing pressure on forests from global commodities and financial markets.\\n* In short, the primary purpose of the NICFI Program is to support reducing and reversing the loss of tropical forests, contributing to combating climate change, conserving biodiversity, contributing to forest regrowth, restoration, and enhancement, and facilitating sustainable development, all of which must be Non-Commercial Use.\\n\\nTo learn how more about the NICFI program, streaming and downloading basemaps please read the [NICFI Data Program User Guide](https://assets.planet.com/docs/NICFI_UserGuidesFAQ.pdf).\\n\\nThis collection contains both monthly and biannual mosaics. Biannual mosaics are available from December 2015 - August 2020. Monthly mosaics are available from September 2020. The STAC items include a `planet-nicfi:cadence` field indicating the type of mosaic.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"imagery,nicfi,planet,planet-nicfi-analytic,satellite,tropics\", \"license\": \"proprietary\", \"title\": \"Planet-NICFI Basemaps (Analytic)\", \"missionStartDate\": \"2015-12-01T00:00:00Z\"}, \"modis-17A2H-061\": {\"abstract\": \"The Version 6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter (m) pixel size based on the radiation use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. The Moderate Resolution Imaging Spectroradiometer (MODIS) data product includes information about GPP and Net Photosynthesis (PSN). The PSN band values are the GPP less the Maintenance Respiration (MR). The data product also contains a PSN Quality Control (QC) layer. The quality layer contains quality information for both the GPP and the PSN.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod17a2h,modis,modis-17a2h-061,myd17a2h,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Gross Primary Productivity 8-Day\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"modis-11A2-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature/Emissivity 8-Day Version 6.1 product provides an average 8-day per-pixel Land Surface Temperature and Emissivity (LST&E) with a 1 kilometer (km) spatial resolution in a 1,200 by 1,200 km grid. Each pixel value in the MOD11A2 is a simple average of all the corresponding MOD11A1 LST pixels collected within that 8-day period. The 8-day compositing period was chosen because twice that period is the exact ground track repeat period of the Terra and Aqua platforms. Provided along with the daytime and nighttime surface temperature bands are associated quality control assessments, observation times, view zenith angles, and clear-sky coverages along with bands 31 and 32 emissivities from land cover types.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod11a2,modis,modis-11a2-061,myd11a2,nasa,satellite,temperature,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Land Surface Temperature/Emissivity 8-Day\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"daymet-daily-pr\": {\"abstract\": \"Gridded estimates of daily weather parameters. [Daymet](https://daymet.ornl.gov) Version 4 variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1840](https://doi.org/10.3334/ORNLDAAC/1840) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#daily).\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"daymet,daymet-daily-pr,precipitation,puerto-rico,temperature,vapor-pressure,weather\", \"license\": \"proprietary\", \"title\": \"Daymet Daily Puerto Rico\", \"missionStartDate\": \"1980-01-01T12:00:00Z\"}, \"3dep-lidar-dtm-native\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It creates a Digital Terrain Model (DTM) using the vendor provided (native) ground classification and [`pdal.filters.range`](https://pdal.io/stages/filters.range.html#filters-range) to output a collection of Cloud Optimized GeoTIFFs, removing all points that have been classified as noise.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-dtm-native,cog,dtm,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Digital Terrain Model (Native)\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"3dep-lidar-classification\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It uses the [ASPRS](https://www.asprs.org/) (American Society for Photogrammetry and Remote Sensing) [Lidar point classification](https://desktop.arcgis.com/en/arcmap/latest/manage-data/las-dataset/lidar-point-classification.htm). See [LAS specification](https://www.ogc.org/standards/LAS) for details.\\n\\nThis COG type is based on the Classification [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.range`](https://pdal.io/stages/filters.range.html) to select a subset of interesting classifications. Do note that not all LiDAR collections contain a full compliment of classification labels.\\nTo remove outliers, the PDAL pipeline uses a noise filter and then outputs the Classification dimension.\\n\\nThe STAC collection implements the [`item_assets`](https://github.com/stac-extensions/item-assets) and [`classification`](https://github.com/stac-extensions/classification) extensions. These classes are displayed in the \\\"Item assets\\\" below. You can programmatically access the full list of class values and descriptions using the `classification:classes` field form the `data` asset on the STAC collection.\\n\\nClassification rasters were produced as a subset of LiDAR classification categories:\\n\\n```\\n0, Never Classified\\n1, Unclassified\\n2, Ground\\n3, Low Vegetation\\n4, Medium Vegetation\\n5, High Vegetation\\n6, Building\\n9, Water\\n10, Rail\\n11, Road\\n17, Bridge Deck\\n```\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-classification,classification,cog,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Classification\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"3dep-lidar-dtm\": {\"abstract\": \"This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It creates a Digital Terrain Model (DTM) using [`pdal.filters.smrf`](https://pdal.io/stages/filters.smrf.html#filters-smrf) to output a collection of Cloud Optimized GeoTIFFs.\\n\\nThe Simple Morphological Filter (SMRF) classifies ground points based on the approach outlined in [Pingel2013](https://pdal.io/references.html#pingel2013).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"3dep,3dep-lidar-dtm,cog,dtm,usgs\", \"license\": \"proprietary\", \"title\": \"USGS 3DEP Lidar Digital Terrain Model\", \"missionStartDate\": \"2012-01-01T00:00:00Z\"}, \"gap\": {\"abstract\": \"The [USGS GAP/LANDFIRE National Terrestrial Ecosystems data](https://www.sciencebase.gov/catalog/item/573cc51be4b0dae0d5e4b0c5), based on the [NatureServe Terrestrial Ecological Systems](https://www.natureserve.org/products/terrestrial-ecological-systems-united-states), are the foundation of the most detailed, consistent map of vegetation available for the United States. These data facilitate planning and management for biological diversity on a regional and national scale.\\n\\nThis dataset includes the [land cover](https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/land-cover) component of the GAP/LANDFIRE project.\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"gap,land-cover,landfire,united-states,usgs\", \"license\": \"proprietary\", \"title\": \"USGS Gap Land Cover\", \"missionStartDate\": \"1999-01-01T00:00:00Z\"}, \"modis-17A2HGF-061\": {\"abstract\": \"The Version 6.1 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter (m) pixel size based on the radiation use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. The Moderate Resolution Imaging Spectroradiometer (MODIS) data product includes information about GPP and Net Photosynthesis (PSN). The PSN band values are the GPP less the Maintenance Respiration (MR). The data product also contains a PSN Quality Control (QC) layer. The quality layer contains quality information for both the GPP and the PSN. This product will be generated at the end of each year when the entire yearly 8-day 15A2H is available. Hence, the gap-filled A2HGF is the improved 17, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (FPAR/LAI) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get this product in near-real time because it will be generated only at the end of a given year.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod17a2hgf,modis,modis-17a2hgf-061,myd17a2hgf,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Gross Primary Productivity 8-Day Gap-Filled\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"planet-nicfi-visual\": {\"abstract\": \"*Note: Assets in this collection are only available to winners of the [GEO-Microsoft Planetary Computer RFP](https://www.earthobservations.org/geo_blog_obs.php?id=528). Others wishing to use the data can sign up and access it from Planet at [https://www.planet.com/nicfi/](https://www.planet.com/nicfi/) and email [planetarycomputer@microsoft.com](mailto:planetarycomputer@microsoft.com).*\\n\\nThrough Norway\\u2019s International Climate & Forests Initiative (NICFI), users can access Planet\\u2019s high-resolution, analysis-ready mosaics of the world\\u2019s tropics in order to help reduce and reverse the loss of tropical forests, combat climate change, conserve biodiversity, and facilitate sustainable development.\\n\\nIn support of NICFI\\u2019s mission, you can use this data for a number of projects including, but not limited to:\\n\\n* Advance scientific research about the world\\u2019s tropical forests and the critical services they provide.\\n* Implement and improve policies for sustainable forest management and land use in developing tropical forest countries and jurisdictions.\\n* Increase transparency and accountability in the tropics.\\n* Protect and improve the rights of indigenous peoples and local communities in tropical forest countries.\\n* Innovate solutions towards reducing pressure on forests from global commodities and financial markets.\\n* In short, the primary purpose of the NICFI Program is to support reducing and reversing the loss of tropical forests, contributing to combating climate change, conserving biodiversity, contributing to forest regrowth, restoration, and enhancement, and facilitating sustainable development, all of which must be Non-Commercial Use.\\n\\nTo learn how more about the NICFI program, streaming and downloading basemaps please read the [NICFI Data Program User Guide](https://assets.planet.com/docs/NICFI_UserGuidesFAQ.pdf).\\n\\nThis collection contains both monthly and biannual mosaics. Biannual mosaics are available from December 2015 - August 2020. Monthly mosaics are available from September 2020. The STAC items include a `planet-nicfi:cadence` field indicating the type of mosaic.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"imagery,nicfi,planet,planet-nicfi-visual,satellite,tropics\", \"license\": \"proprietary\", \"title\": \"Planet-NICFI Basemaps (Visual)\", \"missionStartDate\": \"2015-12-01T00:00:00Z\"}, \"gbif\": {\"abstract\": \"The [Global Biodiversity Information Facility](https://www.gbif.org) (GBIF) is an international network and data infrastructure funded by the world's governments, providing global data that document the occurrence of species. GBIF currently integrates datasets documenting over 1.6 billion species occurrences.\\n\\nThe GBIF occurrence dataset combines data from a wide array of sources, including specimen-related data from natural history museums, observations from citizen science networks, and automated environmental surveys. While these data are constantly changing at [GBIF.org](https://www.gbif.org), periodic snapshots are taken and made available here. \\n\\nData are stored in [Parquet](https://parquet.apache.org/) format; the Parquet file schema is described below. Most field names correspond to [terms from the Darwin Core standard](https://dwc.tdwg.org/terms/), and have been interpreted by GBIF's systems to align taxonomy, location, dates, etc. Additional information may be retrieved using the [GBIF API](https://www.gbif.org/developer/summary).\\n\\nPlease refer to the GBIF [citation guidelines](https://www.gbif.org/citation-guidelines) for information about how to cite GBIF data in publications.. For analyses using the whole dataset, please use the following citation:\\n\\n> GBIF.org ([Date]) GBIF Occurrence Data [DOI of dataset]\\n\\nFor analyses where data are significantly filtered, please track the datasetKeys used and use a \\\"[derived dataset](https://www.gbif.org/citation-guidelines#derivedDatasets)\\\" record for citing the data.\\n\\nThe [GBIF data blog](https://data-blog.gbif.org/categories/gbif/) contains a number of articles that can help you analyze GBIF data.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biodiversity,gbif,species\", \"license\": \"proprietary\", \"title\": \"Global Biodiversity Information Facility (GBIF)\", \"missionStartDate\": \"2021-04-13T00:00:00Z\"}, \"modis-17A3HGF-061\": {\"abstract\": \"The Version 6.1 product provides information about annual Net Primary Production (NPP) at 500 meter (m) pixel resolution. Annual Moderate Resolution Imaging Spectroradiometer (MODIS) NPP is derived from the sum of all 8-day Net Photosynthesis (PSN) products (MOD17A2H) from the given year. The PSN value is the difference of the Gross Primary Productivity (GPP) and the Maintenance Respiration (MR). The product will be generated at the end of each year when the entire yearly 8-day 15A2H is available. Hence, the gap-filled product is the improved 17, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get this product in near-real time because it will be generated only at the end of a given year.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod17a3hgf,modis,modis-17a3hgf-061,myd17a3hgf,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Net Primary Production Yearly Gap-Filled\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"modis-09A1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) 09A1 Version 6.1 product provides an estimate of the surface spectral reflectance of MODIS Bands 1 through 7 corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven 500 meter (m) reflectance bands are two quality layers and four observation bands. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,imagery,mod09a1,modis,modis-09a1-061,myd09a1,nasa,reflectance,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Surface Reflectance 8-Day (500m)\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"alos-dem\": {\"abstract\": \"The \\\"ALOS World 3D-30m\\\" (AW3D30) dataset is a 30 meter resolution global digital surface model (DSM), developed by the Japan Aerospace Exploration Agency (JAXA). AWD30 was constructed from the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) on board Advanced Land Observing Satellite (ALOS), operated from 2006 to 2011.\\n\\nSee the [Product Description](https://www.eorc.jaxa.jp/ALOS/en/aw3d30/aw3d30v3.2_product_e_e1.2.pdf) for more details.\\n\", \"instrument\": \"prism\", \"platform\": null, \"platformSerialIdentifier\": \"alos\", \"processingLevel\": null, \"keywords\": \"alos,alos-dem,dem,dsm,elevation,jaxa,prism\", \"license\": \"proprietary\", \"title\": \"ALOS World 3D-30m\", \"missionStartDate\": \"2016-12-07T00:00:00Z\"}, \"alos-palsar-mosaic\": {\"abstract\": \"Global 25 m Resolution PALSAR-2/PALSAR Mosaic (MOS)\", \"instrument\": \"PALSAR,PALSAR-2\", \"platform\": null, \"platformSerialIdentifier\": \"ALOS,ALOS-2\", \"processingLevel\": null, \"keywords\": \"alos,alos-2,alos-palsar-mosaic,global,jaxa,palsar,palsar-2,remote-sensing\", \"license\": \"proprietary\", \"title\": \"ALOS PALSAR Annual Mosaic\", \"missionStartDate\": \"2015-01-01T00:00:00Z\"}, \"deltares-water-availability\": {\"abstract\": \"[Deltares](https://www.deltares.nl/en/) has produced a hydrological model approach to simulate historical daily reservoir variations for 3,236 locations across the globe for the period 1970-2020 using the distributed [wflow_sbm](https://deltares.github.io/Wflow.jl/stable/model_docs/model_configurations/) model. The model outputs long-term daily information on reservoir volume, inflow and outflow dynamics, as well as information on upstream hydrological forcing.\\n\\nThey hydrological model was forced with 5 different precipitation products. Two products (ERA5 and CHIRPS) are available at the global scale, while for Europe, USA and Australia a regional product was use (i.e. EOBS, NLDAS and BOM, respectively). Using these different precipitation products, it becomes possible to assess the impact of uncertainty in the model forcing. A different number of basins upstream of reservoirs are simulated, given the spatial coverage of each precipitation product.\\n\\nSee the complete [methodology documentation](https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/pc-deltares-water-availability-documentation.pdf) for more information.\\n\\n## Dataset coverages\\n\\n| Name | Scale | Period | Number of basins |\\n|--------|--------------------------|-----------|------------------|\\n| ERA5 | Global | 1967-2020 | 3236 |\\n| CHIRPS | Global (+/- 50 latitude) | 1981-2020 | 2951 |\\n| EOBS | Europe/North Africa | 1979-2020 | 682 |\\n| NLDAS | USA | 1979-2020 | 1090 |\\n| BOM | Australia | 1979-2020 | 116 |\\n\\n## STAC Metadata\\n\\nThis STAC collection includes one STAC item per dataset. The item includes a `deltares:reservoir` property that can be used to query for the URL of a specific dataset.\\n\\n## Contact\\n\\nFor questions about this dataset, contact [`aiforearthdatasets@microsoft.com`](mailto:aiforearthdatasets@microsoft.com?subject=deltares-floods%20question).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"deltares,deltares-water-availability,precipitation,reservoir,water,water-availability\", \"license\": \"CDLA-Permissive-1.0\", \"title\": \"Deltares Global Water Availability\", \"missionStartDate\": \"1970-01-01T00:00:00Z\"}, \"modis-16A3GF-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16A3GF Version 6.1 Evapotranspiration/Latent Heat Flux (ET/LE) product is a year-end gap-filled yearly composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with MODIS remotely sensed data products such as vegetation property dynamics, albedo, and land cover. The product will be generated at the end of each year when the entire yearly 8-day MOD15A2H/MYD15A2H is available. Hence, the gap-filled product is the improved 16, which has cleaned the poor-quality inputs from yearly Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get this product in near-real time because it will be generated only at the end of a given year. Provided in the product are layers for composited ET, LE, Potential ET (PET), and Potential LE (PLE) along with a quality control layer. Two low resolution browse images, ET and LE, are also available for each granule. The pixel values for the two Evapotranspiration layers (ET and PET) are the sum for all days within the defined year, and the pixel values for the two Latent Heat layers (LE and PLE) are the average of all days within the defined year.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod16a3gf,modis,modis-16a3gf-061,myd16a3gf,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Net Evapotranspiration Yearly Gap-Filled\", \"missionStartDate\": \"2001-01-01T00:00:00Z\"}, \"modis-21A2-061\": {\"abstract\": \"A suite of Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity (LST&E) products are available in Collection 6.1. The MOD21 Land Surface Temperatuer (LST) algorithm differs from the algorithm of the MOD11 LST products, in that the MOD21 algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MOD11 uses the split-window technique. The MOD21 TES algorithm uses a physics-based algorithm to dynamically retrieve both the LST and spectral emissivity simultaneously from the MODIS thermal infrared bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. This dataset is an 8-day composite LST product at 1,000 meter spatial resolution that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free 21A1D and 21A1N daily acquisitions from the 8-day period. Unlike the 21A1 data sets where the daytime and nighttime acquisitions are separate products, the 21A2 contains both daytime and nighttime acquisitions as separate Science Dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. The LST, Quality Control (QC), view zenith angle, and viewing time have separate day and night SDS layers, while the values for the MODIS emissivity bands 29, 31, and 32 are the average of both the nighttime and daytime acquisitions. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod21a2,modis,modis-21a2-061,myd21a2,nasa,satellite,temperature,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Land Surface Temperature/3-Band Emissivity 8-Day\", \"missionStartDate\": \"2000-02-16T00:00:00Z\"}, \"us-census\": {\"abstract\": \"The [2020 Census](https://www.census.gov/programs-surveys/decennial-census/decade/2020/2020-census-main.html) counted every person living in the United States and the five U.S. territories. It marked the 24th census in U.S. history and the first time that households were invited to respond to the census online.\\n\\nThe tables included on the Planetary Computer provide information on population and geographic boundaries at various levels of cartographic aggregation.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"administrative-boundaries,demographics,population,us-census,us-census-bureau\", \"license\": \"proprietary\", \"title\": \"US Census\", \"missionStartDate\": \"2021-08-01T00:00:00Z\"}, \"jrc-gsw\": {\"abstract\": \"Global surface water products from the European Commission Joint Research Centre, based on Landsat 5, 7, and 8 imagery. Layers in this collection describe the occurrence, change, and seasonality of surface water from 1984-2020. Complete documentation for each layer is available in the [Data Users Guide](https://storage.cloud.google.com/global-surface-water/downloads_ancillary/DataUsersGuidev2020.pdf).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"global,jrc-gsw,landsat,water\", \"license\": \"proprietary\", \"title\": \"JRC Global Surface Water\", \"missionStartDate\": \"1984-03-01T00:00:00Z\"}, \"deltares-floods\": {\"abstract\": \"[Deltares](https://www.deltares.nl/en/) has produced inundation maps of flood depth using a model that takes into account water level attenuation and is forced by sea level. At the coastline, the model is forced by extreme water levels containing surge and tide from GTSMip6. The water level at the coastline is extended landwards to all areas that are hydrodynamically connected to the coast following a \\u2018bathtub\\u2019 like approach and calculates the flood depth as the difference between the water level and the topography. Unlike a simple 'bathtub' model, this model attenuates the water level over land with a maximum attenuation factor of 0.5\\u2009m\\u2009km-1. The attenuation factor simulates the dampening of the flood levels due to the roughness over land.\\n\\nIn its current version, the model does not account for varying roughness over land and permanent water bodies such as rivers and lakes, and it does not account for the compound effects of waves, rainfall, and river discharge on coastal flooding. It also does not include the mitigating effect of coastal flood protection. Flood extents must thus be interpreted as the area that is potentially exposed to flooding without coastal protection.\\n\\nSee the complete [methodology documentation](https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/11206409-003-ZWS-0003_v0.1-Planetary-Computer-Deltares-global-flood-docs.pdf) for more information.\\n\\n## Digital elevation models (DEMs)\\n\\nThis documentation will refer to three DEMs:\\n\\n* `NASADEM` is the SRTM-derived [NASADEM](https://planetarycomputer.microsoft.com/dataset/nasadem) product.\\n* `MERITDEM` is the [Multi-Error-Removed Improved Terrain DEM](http://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/), derived from SRTM and AW3D.\\n* `LIDAR` is the [Global LiDAR Lowland DTM (GLL_DTM_v1)](https://data.mendeley.com/datasets/v5x4vpnzds/1).\\n\\n## Global datasets\\n\\nThis collection includes multiple global flood datasets derived from three different DEMs (`NASA`, `MERIT`, and `LIDAR`) and at different resolutions. Not all DEMs have all resolutions:\\n\\n* `NASADEM` and `MERITDEM` are available at `90m` and `1km` resolutions\\n* `LIDAR` is available at `5km` resolution\\n\\n## Historic event datasets\\n\\nThis collection also includes historical storm event data files that follow similar DEM and resolution conventions. Not all storms events are available for each DEM and resolution combination, but generally follow the format of:\\n\\n`events/[DEM]_[resolution]-wm_final/[storm_name]_[event_year]_masked.nc`\\n\\nFor example, a flood map for the MERITDEM-derived 90m flood data for the \\\"Omar\\\" storm in 2008 is available at:\\n\\n<https://deltaresfloodssa.blob.core.windows.net/floods/v2021.06/events/MERITDEM_90m-wm_final/Omar_2008_masked.nc>\\n\\n## Contact\\n\\nFor questions about this dataset, contact [`aiforearthdatasets@microsoft.com`](mailto:aiforearthdatasets@microsoft.com?subject=deltares-floods%20question).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"deltares,deltares-floods,flood,global,sea-level-rise,water\", \"license\": \"CDLA-Permissive-1.0\", \"title\": \"Deltares Global Flood Maps\", \"missionStartDate\": \"2018-01-01T00:00:00Z\"}, \"modis-43A4-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A4 Version 6.1 Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) dataset is produced daily using 16 days of Terra and Aqua MODIS data at 500 meter (m) resolution. The view angle effects are removed from the directional reflectances, resulting in a stable and consistent NBAR product. Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the User Guide. The MCD43A4 provides NBAR and simplified mandatory quality layers for MODIS bands 1 through 7. Essential quality information provided in the corresponding MCD43A2 data file should be consulted when using this product.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,imagery,mcd43a4,modis,modis-43a4-061,nasa,reflectance,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Nadir BRDF-Adjusted Reflectance (NBAR) Daily\", \"missionStartDate\": \"2000-02-16T00:00:00Z\"}, \"modis-09Q1-061\": {\"abstract\": \"The 09Q1 Version 6.1 product provides an estimate of the surface spectral reflectance of Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 250 meter (m) surface reflectance bands are two quality layers. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,imagery,mod09q1,modis,modis-09q1-061,myd09q1,nasa,reflectance,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Surface Reflectance 8-Day (250m)\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"modis-14A1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire Daily Version 6.1 data are generated every eight days at 1 kilometer (km) spatial resolution as a Level 3 product. MOD14A1 contains eight consecutive days of fire data conveniently packaged into a single file. The Science Dataset (SDS) layers include the fire mask, pixel quality indicators, maximum fire radiative power (MaxFRP), and the position of the fire pixel within the scan. Each layer consists of daily per pixel information for each of the eight days of data acquisition.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,fire,global,mod14a1,modis,modis-14a1-061,myd14a1,nasa,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Thermal Anomalies/Fire Daily\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"hrea\": {\"abstract\": \"The [HREA](http://www-personal.umich.edu/~brianmin/HREA/index.html) project aims to provide open access to new indicators of electricity access and reliability across the world. Leveraging satellite imagery with computational methods, these high-resolution data provide new tools to track progress toward reliable and sustainable energy access across the world.\\n\\nThis dataset includes settlement-level measures of electricity access, reliability, and usage for 89 nations, derived from nightly VIIRS satellite imagery. Specifically, this dataset provides the following annual values at country-level granularity:\\n\\n1. **Access**: Predicted likelihood that a settlement is electrified, based on night-by-night comparisons of each settlement against matched uninhabited areas over a calendar year.\\n\\n2. **Reliability**: Proportion of nights a settlement is statistically brighter than matched uninhabited areas. Areas with more frequent power outages or service interruptions have lower rates.\\n\\n3. **Usage**: Higher levels of brightness indicate more robust usage of outdoor lighting, which is highly correlated with overall energy consumption.\\n\\n4. **Nighttime Lights**: Annual composites of VIIRS nighttime light output.\\n\\nFor more information and methodology, please visit the [HREA website](http://www-personal.umich.edu/~brianmin/HREA/index.html).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"electricity,hrea,viirs\", \"license\": \"CC-BY-4.0\", \"title\": \"HREA: High Resolution Electricity Access\", \"missionStartDate\": \"2012-12-31T00:00:00Z\"}, \"modis-13Q1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices Version 6.1 data are generated every 16 days at 250 meter (m) spatial resolution as a Level 3 product. The MOD13Q1 product provides two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. Along with the vegetation layers and the two quality layers, the HDF file will have MODIS reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod13q1,modis,modis-13q1-061,myd13q1,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Vegetation Indices 16-Day (250m)\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"modis-14A2-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire 8-Day Version 6.1 data are generated at 1 kilometer (km) spatial resolution as a Level 3 product. The MOD14A2 gridded composite contains the maximum value of the individual fire pixel classes detected during the eight days of acquisition. The Science Dataset (SDS) layers include the fire mask and pixel quality indicators.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,fire,global,mod14a2,modis,modis-14a2-061,myd14a2,nasa,satellite,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Thermal Anomalies/Fire 8-Day\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"sentinel-2-l2a\": {\"abstract\": \"The [Sentinel-2](https://sentinel.esa.int/web/sentinel/missions/sentinel-2) program provides global imagery in thirteen spectral bands at 10m-60m resolution and a revisit time of approximately five days. This dataset represents the global Sentinel-2 archive, from 2016 to the present, processed to L2A (bottom-of-atmosphere) using [Sen2Cor](https://step.esa.int/main/snap-supported-plugins/sen2cor/) and converted to [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\", \"instrument\": \"msi\", \"platform\": \"sentinel-2\", \"platformSerialIdentifier\": \"Sentinel-2A,Sentinel-2B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,global,imagery,msi,reflectance,satellite,sentinel,sentinel-2,sentinel-2-l2a,sentinel-2a,sentinel-2b\", \"license\": \"proprietary\", \"title\": \"Sentinel-2 Level-2A\", \"missionStartDate\": \"2015-06-27T10:25:31Z\"}, \"modis-15A2H-061\": {\"abstract\": \"The Version 6.1 Moderate Resolution Imaging Spectroradiometer (MODIS) Level 4, Combined Fraction of Photosynthetically Active Radiation (FPAR), and Leaf Area Index (LAI) product is an 8-day composite dataset with 500 meter pixel size. The algorithm chooses the best pixel available from within the 8-day period. LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation (400-700 nm) absorbed by the green elements of a vegetation canopy.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mcd15a2h,mod15a2h,modis,modis-15a2h-061,myd15a2h,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Leaf Area Index/FPAR 8-Day\", \"missionStartDate\": \"2002-07-04T00:00:00Z\"}, \"modis-11A1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature/Emissivity Daily Version 6.1 product provides daily per-pixel Land Surface Temperature and Emissivity (LST&E) with 1 kilometer (km) spatial resolution in a 1,200 by 1,200 km grid. The pixel temperature value is derived from the MOD11_L2 swath product. Above 30 degrees latitude, some pixels may have multiple observations where the criteria for clear-sky are met. When this occurs, the pixel value is a result of the average of all qualifying observations. Provided along with the daytime and nighttime surface temperature bands are associated quality control assessments, observation times, view zenith angles, and clear-sky coverages along with bands 31 and 32 emissivities from land cover types\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod11a1,modis,modis-11a1-061,myd11a1,nasa,satellite,temperature,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Land Surface Temperature/Emissivity Daily\", \"missionStartDate\": \"2000-02-24T00:00:00Z\"}, \"modis-15A3H-061\": {\"abstract\": \"The MCD15A3H Version 6.1 Moderate Resolution Imaging Spectroradiometer (MODIS) Level 4, Combined Fraction of Photosynthetically Active Radiation (FPAR), and Leaf Area Index (LAI) product is a 4-day composite data set with 500 meter pixel size. The algorithm chooses the best pixel available from all the acquisitions of both MODIS sensors located on NASA's Terra and Aqua satellites from within the 4-day period. LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation (400-700 nm) absorbed by the green elements of a vegetation canopy.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mcd15a3h,modis,modis-15a3h-061,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Leaf Area Index/FPAR 4-Day\", \"missionStartDate\": \"2002-07-04T00:00:00Z\"}, \"modis-13A1-061\": {\"abstract\": \"The Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. Provided along with the vegetation layers and two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod13a1,modis,modis-13a1-061,myd13a1,nasa,satellite,terra,vegetation\", \"license\": \"proprietary\", \"title\": \"MODIS Vegetation Indices 16-Day (500m)\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"daymet-daily-na\": {\"abstract\": \"Gridded estimates of daily weather parameters. [Daymet](https://daymet.ornl.gov) Version 4 variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length.\\n\\n[Daymet](https://daymet.ornl.gov/) provides measurements of near-surface meteorological conditions; the main purpose is to provide data estimates where no instrumentation exists. The dataset covers the period from January 1, 1980 to the present. Each year is processed individually at the close of a calendar year. Data are in a Lambert conformal conic projection for North America and are distributed in Zarr and NetCDF formats, compliant with the [Climate and Forecast (CF) metadata conventions (version 1.6)](http://cfconventions.org/).\\n\\nUse the DOI at [https://doi.org/10.3334/ORNLDAAC/1840](https://doi.org/10.3334/ORNLDAAC/1840) to cite your usage of the data.\\n\\nThis dataset provides coverage for Hawaii; North America and Puerto Rico are provided in [separate datasets](https://planetarycomputer.microsoft.com/dataset/group/daymet#daily).\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"daymet,daymet-daily-na,north-america,precipitation,temperature,vapor-pressure,weather\", \"license\": \"proprietary\", \"title\": \"Daymet Daily North America\", \"missionStartDate\": \"1980-01-01T12:00:00Z\"}, \"nrcan-landcover\": {\"abstract\": \"Collection of Land Cover products for Canada as produced by Natural Resources Canada using Landsat satellite imagery. This collection of cartographic products offers classified Land Cover of Canada at a 30 metre scale, updated on a 5 year basis.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"canada,land-cover,landsat,north-america,nrcan-landcover,remote-sensing\", \"license\": \"OGL-Canada-2.0\", \"title\": \"Land Cover of Canada\", \"missionStartDate\": \"2015-01-01T00:00:00Z\"}, \"modis-10A2-061\": {\"abstract\": \"This global Level-3 (L3) data set provides the maximum snow cover extent observed over an eight-day period within 10degx10deg MODIS sinusoidal grid tiles. Tiles are generated by compositing 500 m observations from the 'MODIS Snow Cover Daily L3 Global 500m Grid' data set. A bit flag index is used to track the eight-day snow/no-snow chronology for each 500 m cell.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod10a2,modis,modis-10a2-061,myd10a2,nasa,satellite,snow,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Snow Cover 8-day\", \"missionStartDate\": \"2000-02-18T00:00:00Z\"}, \"ecmwf-forecast\": {\"abstract\": \"The [ECMWF catalog of real-time products](https://www.ecmwf.int/en/forecasts/datasets/catalogue-ecmwf-real-time-products) offers real-time meterological and oceanographic productions from the ECMWF forecast system. Users should consult the [ECMWF Forecast User Guide](https://confluence.ecmwf.int/display/FUG/1+Introduction) for detailed information on each of the products.\\n\\n## Overview of products\\n\\nThe following diagram shows the publishing schedule of the various products.\\n\\n<a href=\\\"https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/ecmwf-forecast-coverage.png\\\"><img src=\\\"https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/ecmwf-forecast-coverage.png\\\" width=\\\"100%\\\"/></a>\\n\\nThe vertical axis shows the various products, defined below, which are grouped by combinations of `stream`, `forecast type`, and `reference time`. The horizontal axis shows *forecast times* in 3-hour intervals out from the reference time. A black square over a particular forecast time, or step, indicates that a forecast is made for that forecast time, for that particular `stream`, `forecast type`, `reference time` combination.\\n\\n* **stream** is the forecasting system that produced the data. The values are available in the `ecmwf:stream` summary of the STAC collection. They are:\\n * `enfo`: [ensemble forecast](https://confluence.ecmwf.int/display/FUG/ENS+-+Ensemble+Forecasts), atmospheric fields\\n * `mmsf`: [multi-model seasonal forecasts](https://confluence.ecmwf.int/display/FUG/Long-Range+%28Seasonal%29+Forecast) fields from the ECMWF model only.\\n * `oper`: [high-resolution forecast](https://confluence.ecmwf.int/display/FUG/HRES+-+High-Resolution+Forecast), atmospheric fields \\n * `scda`: short cut-off high-resolution forecast, atmospheric fields (also known as \\\"high-frequency products\\\")\\n * `scwv`: short cut-off high-resolution forecast, ocean wave fields (also known as \\\"high-frequency products\\\") and\\n * `waef`: [ensemble forecast](https://confluence.ecmwf.int/display/FUG/ENS+-+Ensemble+Forecasts), ocean wave fields,\\n * `wave`: wave model\\n* **type** is the forecast type. The values are available in the `ecmwf:type` summary of the STAC collection. They are:\\n * `fc`: forecast\\n * `ef`: ensemble forecast\\n * `pf`: ensemble probabilities\\n * `tf`: trajectory forecast for tropical cyclone tracks\\n* **reference time** is the hours after midnight when the model was run. Each stream / type will produce assets for different forecast times (steps from the reference datetime) depending on the reference time.\\n\\nVisit the [ECMWF's User Guide](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time) for more details on each of the various products.\\n\\nAssets are available for the previous 30 days.\\n\\n## Asset overview\\n\\nThe data are provided as [GRIB2 files](https://confluence.ecmwf.int/display/CKB/What+are+GRIB+files+and+how+can+I+read+them).\\nAdditionally, [index files](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time#ECMWFOpenDataRealTime-IndexFilesIndexfiles) are provided, which can be used to read subsets of the data from Azure Blob Storage.\\n\\nWithin each `stream`, `forecast type`, `reference time`, the structure of the data are mostly consistent. Each GRIB2 file will have the\\nsame data variables, coordinates (aside from `time` as the *reference time* changes and `step` as the *forecast time* changes). The exception\\nis the `enfo-ep` and `waef-ep` products, which have more `step`s in the 240-hour forecast than in the 360-hour forecast. \\n\\nSee the example notebook for more on how to access the data.\\n\\n## STAC metadata\\n\\nThe Planetary Computer provides a single STAC item per GRIB2 file. Each GRIB2 file is global in extent, so every item has the same\\n`bbox` and `geometry`.\\n\\nA few custom properties are available on each STAC item, which can be used in searches to narrow down the data to items of interest:\\n\\n* `ecmwf:stream`: The forecasting system (see above for definitions). The full set of values is available in the Collection's summaries.\\n* `ecmwf:type`: The forecast type (see above for definitions). The full set of values is available in the Collection's summaries.\\n* `ecmwf:step`: The offset from the reference datetime, expressed as `<value><unit>`, for example `\\\"3h\\\"` means \\\"3 hours from the reference datetime\\\". \\n* `ecmwf:reference_datetime`: The datetime when the model was run. This indicates when the forecast *was made*, rather than when it's valid for.\\n* `ecmwf:forecast_datetime`: The datetime for which the forecast is valid. This is also set as the item's `datetime`.\\n\\nSee the example notebook for more on how to use the STAC metadata to query for particular data.\\n\\n## Attribution\\n\\nThe products listed and described on this page are available to the public and their use is governed by the [Creative Commons CC-4.0-BY license and the ECMWF Terms of Use](https://apps.ecmwf.int/datasets/licences/general/). This means that the data may be redistributed and used commercially, subject to appropriate attribution.\\n\\nThe following wording should be attached to the use of this ECMWF dataset: \\n\\n1. Copyright statement: Copyright \\\"\\u00a9 [year] European Centre for Medium-Range Weather Forecasts (ECMWF)\\\".\\n2. Source [www.ecmwf.int](http://www.ecmwf.int/)\\n3. License Statement: This data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)\\n4. Disclaimer: ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use.\\n5. Where applicable, an indication if the material has been modified and an indication of previous modifications.\\n\\nThe following wording shall be attached to services created with this ECMWF dataset:\\n\\n1. Copyright statement: Copyright \\\"This service is based on data and products of the European Centre for Medium-Range Weather Forecasts (ECMWF)\\\".\\n2. Source www.ecmwf.int\\n3. License Statement: This ECMWF data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)\\n4. Disclaimer: ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use.\\n5. Where applicable, an indication if the material has been modified and an indication of previous modifications\\n\\n## More information\\n\\nFor more, see the [ECMWF's User Guide](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time) and [example notebooks](https://github.com/ecmwf/notebook-examples/tree/master/opencharts).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"ecmwf,ecmwf-forecast,forecast,weather\", \"license\": \"CC-BY-4.0\", \"title\": \"ECMWF Open Data (real-time)\", \"missionStartDate\": null}, \"noaa-mrms-qpe-24h-pass2\": {\"abstract\": \"The [Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation (QPE)](https://www.nssl.noaa.gov/projects/mrms/) products are seamless 1-km mosaics of precipitation accumulation covering the continental United States, Alaska, Hawaii, the Caribbean, and Guam. The products are automatically generated through integration of data from multiple radars and radar networks, surface and satellite observations, numerical weather prediction (NWP) models, and climatology. The products are updated hourly at the top of the hour.\\n\\nMRMS QPE is available as a \\\"Pass 1\\\" or \\\"Pass 2\\\" product. The Pass 1 product is available with a 60-minute latency and includes 60-65% of gauges. The Pass 2 product has a higher latency of 120 minutes, but includes 99% of gauges. The Pass 1 and Pass 2 products are broken into 1-, 3-, 6-, 12-, 24-, 48-, and 72-hour accumulation sub-products.\\n\\nThis Collection contains the **24-Hour Pass 2** sub-product, i.e., 24-hour cumulative precipitation accumulation with a 2-hour latency. The data are available in [Cloud Optimized GeoTIFF](https://www.cogeo.org/) format as well as the original source GRIB2 format files. The GRIB2 files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"caribbean,guam,mrms,noaa,noaa-mrms-qpe-24h-pass2,precipitation,qpe,united-states,weather\", \"license\": \"proprietary\", \"title\": \"NOAA MRMS QPE 24-Hour Pass 2\", \"missionStartDate\": \"2022-07-21T20:00:00Z\"}, \"sentinel-1-grd\": {\"abstract\": \"The [Sentinel-1](https://sentinel.esa.int/web/sentinel/missions/sentinel-1) mission is a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging. The Level-1 Ground Range Detected (GRD) products in this Collection consist of focused SAR data that has been detected, multi-looked and projected to ground range using the Earth ellipsoid model WGS84. The ellipsoid projection of the GRD products is corrected using the terrain height specified in the product general annotation. The terrain height used varies in azimuth but is constant in range (but can be different for each IW/EW sub-swath).\\n\\nGround range coordinates are the slant range coordinates projected onto the ellipsoid of the Earth. Pixel values represent detected amplitude. Phase information is lost. The resulting product has approximately square resolution pixels and square pixel spacing with reduced speckle at a cost of reduced spatial resolution.\\n\\nFor the IW and EW GRD products, multi-looking is performed on each burst individually. All bursts in all sub-swaths are then seamlessly merged to form a single, contiguous, ground range, detected image per polarization.\\n\\nFor more information see the [ESA documentation](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/product-types-processing-levels/level-1)\\n\\n### Terrain Correction\\n\\nUsers might want to geometrically or radiometrically terrain correct the Sentinel-1 GRD data from this collection. The [Sentinel-1-RTC Collection](https://planetarycomputer.microsoft.com/dataset/sentinel-1-rtc) collection is a global radiometrically terrain corrected dataset derived from Sentinel-1 GRD. Additionally, users can terrain-correct on the fly using [any DEM available on the Planetary Computer](https://planetarycomputer.microsoft.com/catalog?tags=DEM). See [Customizable radiometric terrain correction](https://planetarycomputer.microsoft.com/docs/tutorials/customizable-rtc-sentinel1/) for more.\", \"instrument\": null, \"platform\": \"Sentinel-1\", \"platformSerialIdentifier\": \"SENTINEL-1A,SENTINEL-1B\", \"processingLevel\": null, \"keywords\": \"c-band,copernicus,esa,grd,sar,sentinel,sentinel-1,sentinel-1-grd,sentinel-1a,sentinel-1b\", \"license\": \"proprietary\", \"title\": \"Sentinel 1 Level-1 Ground Range Detected (GRD)\", \"missionStartDate\": \"2014-10-10T00:28:21Z\"}, \"nasadem\": {\"abstract\": \"[NASADEM](https://earthdata.nasa.gov/esds/competitive-programs/measures/nasadem) provides global topographic data at 1 arc-second (~30m) horizontal resolution, derived primarily from data captured via the [Shuttle Radar Topography Mission](https://www2.jpl.nasa.gov/srtm/) (SRTM).\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"dem,elevation,jpl,nasa,nasadem,nga,srtm,usgs\", \"license\": \"proprietary\", \"title\": \"NASADEM HGT v001\", \"missionStartDate\": \"2000-02-20T00:00:00Z\"}, \"io-lulc\": {\"abstract\": \"__Note__: _A new version of this item is available for your use. This mature version of the map remains available for use in existing applications. This item will be retired in December 2024. There is 2020 data available in the newer [9-class dataset](https://planetarycomputer.microsoft.com/dataset/io-lulc-9-class)._\\n\\nGlobal estimates of 10-class land use/land cover (LULC) for 2020, derived from ESA Sentinel-2 imagery at 10m resolution. This dataset was generated by [Impact Observatory](http://impactobservatory.com/), who used billions of human-labeled pixels (curated by the National Geographic Society) to train a deep learning model for land classification. The global map was produced by applying this model to the relevant yearly Sentinel-2 scenes on the Planetary Computer.\\n\\nThis dataset is also available on the [ArcGIS Living Atlas of the World](https://livingatlas.arcgis.com/landcover/).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"global,io-lulc,land-cover,land-use,sentinel\", \"license\": \"CC-BY-4.0\", \"title\": \"Esri 10-Meter Land Cover (10-class)\", \"missionStartDate\": \"2017-01-01T00:00:00Z\"}, \"landsat-c2-l1\": {\"abstract\": \"Landsat Collection 2 Level-1 data, consisting of quantized and calibrated scaled Digital Numbers (DN) representing the multispectral image data. These [Level-1](https://www.usgs.gov/landsat-missions/landsat-collection-2-level-1-data) data can be [rescaled](https://www.usgs.gov/landsat-missions/using-usgs-landsat-level-1-data-product) to top of atmosphere (TOA) reflectance and/or radiance. Thermal band data can be rescaled to TOA brightness temperature.\\n\\nThis dataset represents the global archive of Level-1 data from [Landsat Collection 2](https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collection-2) acquired by the [Multispectral Scanner System](https://landsat.gsfc.nasa.gov/multispectral-scanner-system/) onboard Landsat 1 through Landsat 5 from July 7, 1972 to January 7, 2013. Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\", \"instrument\": \"mss\", \"platform\": null, \"platformSerialIdentifier\": \"landsat-1,landsat-2,landsat-3,landsat-4,landsat-5\", \"processingLevel\": null, \"keywords\": \"global,imagery,landsat,landsat-1,landsat-2,landsat-3,landsat-4,landsat-5,landsat-c2-l1,mss,nasa,satellite,usgs\", \"license\": \"proprietary\", \"title\": \"Landsat Collection 2 Level-1\", \"missionStartDate\": \"1972-07-25T00:00:00Z\"}, \"drcog-lulc\": {\"abstract\": \"The [Denver Regional Council of Governments (DRCOG) Land Use/Land Cover (LULC)](https://drcog.org/services-and-resources/data-maps-and-modeling/regional-land-use-land-cover-project) datasets are developed in partnership with the [Babbit Center for Land and Water Policy](https://www.lincolninst.edu/our-work/babbitt-center-land-water-policy) and the [Chesapeake Conservancy](https://www.chesapeakeconservancy.org/)'s Conservation Innovation Center (CIC). DRCOG LULC includes 2018 data at 3.28ft (1m) resolution covering 1,000 square miles and 2020 data at 1ft resolution covering 6,000 square miles of the Denver, Colorado region. The classification data is derived from the USDA's 1m National Agricultural Imagery Program (NAIP) aerial imagery and leaf-off aerial ortho-imagery captured as part of the [Denver Regional Aerial Photography Project](https://drcog.org/services-and-resources/data-maps-and-modeling/denver-regional-aerial-photography-project) (6in resolution everywhere except the mountainous regions to the west, which are 1ft resolution).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"drcog-lulc,land-cover,land-use,naip,usda\", \"license\": \"proprietary\", \"title\": \"Denver Regional Council of Governments Land Use Land Cover\", \"missionStartDate\": \"2018-01-01T00:00:00Z\"}, \"chesapeake-lc-7\": {\"abstract\": \"A high-resolution 1-meter [land cover data product](https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-cover-data-project/) in raster format for the entire Chesapeake Bay watershed based on 2013-2014 imagery from the National Agriculture Imagery Program (NAIP). The product area encompasses over 250,000 square kilometers in New York, Pennsylvania, Maryland, Delaware, West Virginia, Virginia, and the District of Columbia. The dataset was created by the [Chesapeake Conservancy](https://www.chesapeakeconservancy.org/) [Conservation Innovation Center](https://www.chesapeakeconservancy.org/conservation-innovation-center/) for the [Chesapeake Bay Program](https://www.chesapeakebay.net/), which is a regional partnership of EPA, other federal, state, and local agencies and governments, nonprofits, and academic institutions, that leads and directs Chesapeake Bay restoration efforts. \\n\\nThe dataset is composed of a uniform set of 7 land cover classes. Additional information is available in a [User Guide](https://www.chesapeakeconservancy.org/wp-content/uploads/2020/06/Chesapeake_Conservancy_LandCover101Guide_June2020.pdf). Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"chesapeake-bay-watershed,chesapeake-conservancy,chesapeake-lc-7,land-cover\", \"license\": \"proprietary\", \"title\": \"Chesapeake Land Cover (7-class)\", \"missionStartDate\": \"2013-01-01T00:00:00Z\"}, \"chesapeake-lc-13\": {\"abstract\": \"A high-resolution 1-meter [land cover data product](https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-cover-data-project/) in raster format for the entire Chesapeake Bay watershed based on 2013-2014 imagery from the National Agriculture Imagery Program (NAIP). The product area encompasses over 250,000 square kilometers in New York, Pennsylvania, Maryland, Delaware, West Virginia, Virginia, and the District of Columbia. The dataset was created by the [Chesapeake Conservancy](https://www.chesapeakeconservancy.org/) [Conservation Innovation Center](https://www.chesapeakeconservancy.org/conservation-innovation-center/) for the [Chesapeake Bay Program](https://www.chesapeakebay.net/), which is a regional partnership of EPA, other federal, state, and local agencies and governments, nonprofits, and academic institutions, that leads and directs Chesapeake Bay restoration efforts. \\n\\nThe dataset is composed of 13 land cover classes, although not all classes are used in all areas. Additional information is available in a [User Guide](https://www.chesapeakeconservancy.org/wp-content/uploads/2020/06/Chesapeake_Conservancy_LandCover101Guide_June2020.pdf) and [Class Description](https://www.chesapeakeconservancy.org/wp-content/uploads/2020/03/LC_Class_Descriptions.pdf) document. Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"chesapeake-bay-watershed,chesapeake-conservancy,chesapeake-lc-13,land-cover\", \"license\": \"proprietary\", \"title\": \"Chesapeake Land Cover (13-class)\", \"missionStartDate\": \"2013-01-01T00:00:00Z\"}, \"chesapeake-lu\": {\"abstract\": \"A high-resolution 1-meter [land use data product](https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-use-data-project/) in raster format for the entire Chesapeake Bay watershed. The dataset was created by modifying the 2013-2014 high-resolution [land cover dataset](https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-cover-data-project/) using 13 ancillary datasets including data on zoning, land use, parcel boundaries, landfills, floodplains, and wetlands. The product area encompasses over 250,000 square kilometers in New York, Pennsylvania, Maryland, Delaware, West Virginia, Virginia, and the District of Columbia. The dataset was created by the [Chesapeake Conservancy](https://www.chesapeakeconservancy.org/) [Conservation Innovation Center](https://www.chesapeakeconservancy.org/conservation-innovation-center/) for the [Chesapeake Bay Program](https://www.chesapeakebay.net/), which is a regional partnership of EPA, other federal, state, and local agencies and governments, nonprofits, and academic institutions that leads and directs Chesapeake Bay restoration efforts.\\n\\nThe dataset is composed of 17 land use classes in Virginia and 16 classes in all other jurisdictions. Additional information is available in a land use [Class Description](https://www.chesapeakeconservancy.org/wp-content/uploads/2018/11/2013-Phase-6-Mapped-Land-Use-Definitions-Updated-PC-11302018.pdf) document. Images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"chesapeake-bay-watershed,chesapeake-conservancy,chesapeake-lu,land-use\", \"license\": \"proprietary\", \"title\": \"Chesapeake Land Use\", \"missionStartDate\": \"2013-01-01T00:00:00Z\"}, \"noaa-mrms-qpe-1h-pass1\": {\"abstract\": \"The [Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation (QPE)](https://www.nssl.noaa.gov/projects/mrms/) products are seamless 1-km mosaics of precipitation accumulation covering the continental United States, Alaska, Hawaii, the Caribbean, and Guam. The products are automatically generated through integration of data from multiple radars and radar networks, surface and satellite observations, numerical weather prediction (NWP) models, and climatology. The products are updated hourly at the top of the hour.\\n\\nMRMS QPE is available as a \\\"Pass 1\\\" or \\\"Pass 2\\\" product. The Pass 1 product is available with a 60-minute latency and includes 60-65% of gauges. The Pass 2 product has a higher latency of 120 minutes, but includes 99% of gauges. The Pass 1 and Pass 2 products are broken into 1-, 3-, 6-, 12-, 24-, 48-, and 72-hour accumulation sub-products.\\n\\nThis Collection contains the **1-Hour Pass 1** sub-product, i.e., 1-hour cumulative precipitation accumulation with a 1-hour latency. The data are available in [Cloud Optimized GeoTIFF](https://www.cogeo.org/) format as well as the original source GRIB2 format files. The GRIB2 files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"caribbean,guam,mrms,noaa,noaa-mrms-qpe-1h-pass1,precipitation,qpe,united-states,weather\", \"license\": \"proprietary\", \"title\": \"NOAA MRMS QPE 1-Hour Pass 1\", \"missionStartDate\": \"2022-07-21T20:00:00Z\"}, \"noaa-mrms-qpe-1h-pass2\": {\"abstract\": \"The [Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation (QPE)](https://www.nssl.noaa.gov/projects/mrms/) products are seamless 1-km mosaics of precipitation accumulation covering the continental United States, Alaska, Hawaii, the Caribbean, and Guam. The products are automatically generated through integration of data from multiple radars and radar networks, surface and satellite observations, numerical weather prediction (NWP) models, and climatology. The products are updated hourly at the top of the hour.\\n\\nMRMS QPE is available as a \\\"Pass 1\\\" or \\\"Pass 2\\\" product. The Pass 1 product is available with a 60-minute latency and includes 60-65% of gauges. The Pass 2 product has a higher latency of 120 minutes, but includes 99% of gauges. The Pass 1 and Pass 2 products are broken into 1-, 3-, 6-, 12-, 24-, 48-, and 72-hour accumulation sub-products.\\n\\nThis Collection contains the **1-Hour Pass 2** sub-product, i.e., 1-hour cumulative precipitation accumulation with a 2-hour latency. The data are available in [Cloud Optimized GeoTIFF](https://www.cogeo.org/) format as well as the original source GRIB2 format files. The GRIB2 files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"caribbean,guam,mrms,noaa,noaa-mrms-qpe-1h-pass2,precipitation,qpe,united-states,weather\", \"license\": \"proprietary\", \"title\": \"NOAA MRMS QPE 1-Hour Pass 2\", \"missionStartDate\": \"2022-07-21T20:00:00Z\"}, \"noaa-nclimgrid-monthly\": {\"abstract\": \"The [NOAA U.S. Climate Gridded Dataset (NClimGrid)](https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00332) consists of four climate variables derived from the [Global Historical Climatology Network daily (GHCNd)](https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily) dataset: maximum temperature, minimum temperature, average temperature, and precipitation. The data is provided in 1/24 degree lat/lon (nominal 5x5 kilometer) grids for the Continental United States (CONUS). \\n\\nNClimGrid data is available in monthly and daily temporal intervals, with the daily data further differentiated as \\\"prelim\\\" (preliminary) or \\\"scaled\\\". Preliminary daily data is available within approximately three days of collection. Once a calendar month of preliminary daily data has been collected, it is scaled to match the corresponding monthly value. Monthly data is available from 1895 to the present. Daily preliminary and daily scaled data is available from 1951 to the present. \\n\\nThis Collection contains **Monthly** data. See the journal publication [\\\"Improved Historical Temperature and Precipitation Time Series for U.S. Climate Divisions\\\"](https://journals.ametsoc.org/view/journals/apme/53/5/jamc-d-13-0248.1.xml) for more information about monthly gridded data.\\n\\nUsers of all NClimGrid data product should be aware that [NOAA advertises](https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00332) that:\\n>\\\"On an annual basis, approximately one year of 'final' NClimGrid data is submitted to replace the initially supplied 'preliminary' data for the same time period. Users should be sure to ascertain which level of data is required for their research.\\\"\\n\\nThe source NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\\n*Note*: The Planetary Computer currently has STAC metadata for just the monthly collection. We'll have STAC metadata for daily data in our next release. In the meantime, you can access the daily NetCDF data directly from Blob Storage using the storage container at `https://nclimgridwesteurope.blob.core.windows.net/nclimgrid`. See https://planetarycomputer.microsoft.com/docs/concepts/data-catalog/#access-patterns for more.*\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,nclimgrid,noaa,noaa-nclimgrid-monthly,precipitation,temperature,united-states\", \"license\": \"proprietary\", \"title\": \"Monthly NOAA U.S. Climate Gridded Dataset (NClimGrid)\", \"missionStartDate\": \"1895-01-01T00:00:00Z\"}, \"goes-glm\": {\"abstract\": \"The [Geostationary Lightning Mapper (GLM)](https://www.goes-r.gov/spacesegment/glm.html) is a single-channel, near-infrared optical transient detector that can detect the momentary changes in an optical scene, indicating the presence of lightning. GLM measures total lightning (in-cloud, cloud-to-cloud and cloud-to-ground) activity continuously over the Americas and adjacent ocean regions with near-uniform spatial resolution of approximately 10 km. GLM collects information such as the frequency, location and extent of lightning discharges to identify intensifying thunderstorms and tropical cyclones. Trends in total lightning available from the GLM provide critical information to forecasters, allowing them to focus on developing severe storms much earlier and before these storms produce damaging winds, hail or even tornadoes.\\n\\nThe GLM data product consists of a hierarchy of earth-located lightning radiant energy measures including events, groups, and flashes:\\n\\n- Lightning events are detected by the instrument.\\n- Lightning groups are a collection of one or more lightning events that satisfy temporal and spatial coincidence thresholds.\\n- Similarly, lightning flashes are a collection of one or more lightning groups that satisfy temporal and spatial coincidence thresholds.\\n\\nThe product includes the relationship among lightning events, groups, and flashes, and the area coverage of lightning groups and flashes. The product also includes processing and data quality metadata, and satellite state and location information. \\n\\nThis Collection contains GLM L2 data in tabular ([GeoParquet](https://github.com/opengeospatial/geoparquet)) format and the original source NetCDF format. The NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\", \"instrument\": \"FM1,FM2\", \"platform\": \"GOES\", \"platformSerialIdentifier\": \"GOES-16,GOES-17\", \"processingLevel\": [\"L2\"], \"keywords\": \"fm1,fm2,goes,goes-16,goes-17,goes-glm,l2,lightning,nasa,noaa,satellite,weather\", \"license\": \"proprietary\", \"title\": \"GOES-R Lightning Detection\", \"missionStartDate\": \"2018-02-13T16:10:00Z\"}, \"usda-cdl\": {\"abstract\": \"The Cropland Data Layer (CDL) is a product of the USDA National Agricultural Statistics Service (NASS) with the mission \\\"to provide timely, accurate and useful statistics in service to U.S. agriculture\\\" (Johnson and Mueller, 2010, p. 1204). The CDL is a crop-specific land cover classification product of more than 100 crop categories grown in the United States. CDLs are derived using a supervised land cover classification of satellite imagery. The supervised classification relies on first manually identifying pixels within certain images, often called training sites, which represent the same crop or land cover type. Using these training sites, a spectral signature is developed for each crop type that is then used by the analysis software to identify all other pixels in the satellite image representing the same crop. Using this method, a new CDL is compiled annually and released to the public a few months after the end of the growing season.\\n\\nThis collection includes Cropland, Confidence, Cultivated, and Frequency products.\\n\\n- Cropland: Crop-specific land cover data created annually. There are currently four individual crop frequency data layers that represent four major crops: corn, cotton, soybeans, and wheat.\\n- Confidence: The predicted confidence associated with an output pixel. A value of zero indicates low confidence, while a value of 100 indicates high confidence.\\n- Cultivated: cultivated and non-cultivated land cover for CONUS based on land cover information derived from the 2017 through 2021 Cropland products.\\n- Frequency: crop specific planting frequency based on land cover information derived from the 2008 through 2021 Cropland products.\\n\\nFor more, visit the [Cropland Data Layer homepage](https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"agriculture,land-cover,land-use,united-states,usda,usda-cdl\", \"license\": \"proprietary\", \"title\": \"USDA Cropland Data Layers (CDLs)\", \"missionStartDate\": \"2008-01-01T00:00:00Z\"}, \"eclipse\": {\"abstract\": \"The [Project Eclipse](https://www.microsoft.com/en-us/research/project/project-eclipse/) Network is a low-cost air quality sensing network for cities and a research project led by the [Urban Innovation Group]( https://www.microsoft.com/en-us/research/urban-innovation-research/) at Microsoft Research.\\n\\nProject Eclipse currently includes over 100 locations in Chicago, Illinois, USA.\\n\\nThis network was deployed starting in July, 2021, through a collaboration with the City of Chicago, the Array of Things Project, JCDecaux Chicago, and the Environmental Law and Policy Center as well as local environmental justice organizations in the city. [This talk]( https://www.microsoft.com/en-us/research/video/technology-demo-project-eclipse-hyperlocal-air-quality-monitoring-for-cities/) documents the network design and data calibration strategy.\\n\\n## Storage resources\\n\\nData are stored in [Parquet](https://parquet.apache.org/) files in Azure Blob Storage in the West Europe Azure region, in the following blob container:\\n\\n`https://ai4edataeuwest.blob.core.windows.net/eclipse`\\n\\nWithin that container, the periodic occurrence snapshots are stored in `Chicago/YYYY-MM-DD`, where `YYYY-MM-DD` corresponds to the date of the snapshot.\\nEach snapshot contains a sensor readings from the next 7-days in Parquet format starting with date on the folder name YYYY-MM-DD.\\nTherefore, the data files for the first snapshot are at\\n\\n`https://ai4edataeuwest.blob.core.windows.net/eclipse/chicago/2022-01-01/data_*.parquet\\n\\nThe Parquet file schema is as described below. \\n\\n## Additional Documentation\\n\\nFor details on Calibration of Pm2.5, O3 and NO2, please see [this PDF](https://ai4edatasetspublicassets.blob.core.windows.net/assets/aod_docs/Calibration_Doc_v1.1.pdf).\\n\\n## License and attribution\\nPlease cite: Daepp, Cabral, Ranganathan et al. (2022) [Eclipse: An End-to-End Platform for Low-Cost, Hyperlocal Environmental Sensing in Cities. ACM/IEEE Information Processing in Sensor Networks. Milan, Italy.](https://www.microsoft.com/en-us/research/uploads/prod/2022/05/ACM_2022-IPSN_FINAL_Eclipse.pdf)\\n\\n## Contact\\n\\nFor questions about this dataset, contact [`msrurbanops@microsoft.com`](mailto:msrurbanops@microsoft.com?subject=eclipse%20question) \\n\\n\\n## Learn more\\n\\nThe [Eclipse Project](https://www.microsoft.com/en-us/research/urban-innovation-research/) contains an overview of the Project Eclipse at Microsoft Research.\\n\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"air-pollution,eclipse,pm25\", \"license\": \"proprietary\", \"title\": \"Urban Innovation Eclipse Sensor Data\", \"missionStartDate\": \"2021-01-01T00:00:00Z\"}, \"esa-cci-lc\": {\"abstract\": \"The ESA Climate Change Initiative (CCI) [Land Cover dataset](https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview) provides consistent global annual land cover maps at 300m spatial resolution from 1992 to 2020. The land cover classes are defined using the United Nations Food and Agriculture Organization's (UN FAO) [Land Cover Classification System](https://www.fao.org/land-water/land/land-governance/land-resources-planning-toolbox/category/details/en/c/1036361/) (LCCS). In addition to the land cover maps, four quality flags are produced to document the reliability of the classification and change detection. \\n\\nThe data in this Collection have been converted from the [original NetCDF data](https://planetarycomputer.microsoft.com/dataset/esa-cci-lc-netcdf) to a set of tiled [Cloud Optimized GeoTIFFs](https://www.cogeo.org/) (COGs).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cci,esa,esa-cci-lc,global,land-cover\", \"license\": \"proprietary\", \"title\": \"ESA Climate Change Initiative Land Cover Maps (Cloud Optimized GeoTIFF)\", \"missionStartDate\": \"1992-01-01T00:00:00Z\"}, \"esa-cci-lc-netcdf\": {\"abstract\": \"The ESA Climate Change Initiative (CCI) [Land Cover dataset](https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview) provides consistent global annual land cover maps at 300m spatial resolution from 1992 to 2020. The land cover classes are defined using the United Nations Food and Agriculture Organization's (UN FAO) [Land Cover Classification System](https://www.fao.org/land-water/land/land-governance/land-resources-planning-toolbox/category/details/en/c/1036361/) (LCCS). In addition to the land cover maps, four quality flags are produced to document the reliability of the classification and change detection. \\n\\nThe data in this Collection are the original NetCDF files accessed from the [Copernicus Climate Data Store](https://cds.climate.copernicus.eu/#!/home). We recommend users use the [`esa-cci-lc` Collection](planetarycomputer.microsoft.com/dataset/esa-cci-lc), which provides the data as Cloud Optimized GeoTIFFs.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cci,esa,esa-cci-lc-netcdf,global,land-cover\", \"license\": \"proprietary\", \"title\": \"ESA Climate Change Initiative Land Cover Maps (NetCDF)\", \"missionStartDate\": \"1992-01-01T00:00:00Z\"}, \"fws-nwi\": {\"abstract\": \"The Wetlands Data Layer is the product of over 45 years of work by the National Wetlands Inventory (NWI) and its collaborators and currently contains more than 35 million wetland and deepwater features. This dataset, covering the conterminous United States, Hawaii, Puerto Rico, the Virgin Islands, Guam, the major Northern Mariana Islands and Alaska, continues to grow at a rate of 50 to 100 million acres annually as data are updated.\\n\\n**NOTE:** Due to the variation in use and analysis of this data by the end user, each state's wetlands data extends beyond the state boundary. Each state includes wetlands data that intersect the 1:24,000 quadrangles that contain part of that state (1:2,000,000 source data). This allows the user to clip the data to their specific analysis datasets. Beware that two adjacent states will contain some of the same data along their borders.\\n\\nFor more information, visit the National Wetlands Inventory [homepage](https://www.fws.gov/program/national-wetlands-inventory).\\n\\n## STAC Metadata\\n\\nIn addition to the `zip` asset in every STAC item, each item has its own assets unique to its wetlands. In general, each item will have several assets, each linking to a [geoparquet](https://github.com/opengeospatial/geoparquet) asset with data for the entire region or a sub-region within that state. Use the `cloud-optimized` [role](https://github.com/radiantearth/stac-spec/blob/master/item-spec/item-spec.md#asset-roles) to select just the geoparquet assets. See the Example Notebook for more.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"fws-nwi,united-states,usfws,wetlands\", \"license\": \"proprietary\", \"title\": \"FWS National Wetlands Inventory\", \"missionStartDate\": \"2022-10-01T00:00:00Z\"}, \"usgs-lcmap-conus-v13\": {\"abstract\": \"The [Land Change Monitoring, Assessment, and Projection](https://www.usgs.gov/special-topics/lcmap) (LCMAP) product provides land cover mapping and change monitoring from the U.S. Geological Survey's [Earth Resources Observation and Science](https://www.usgs.gov/centers/eros) (EROS) Center. LCMAP's Science Products are developed by applying time-series modeling on a per-pixel basis to [Landsat Analysis Ready Data](https://www.usgs.gov/landsat-missions/landsat-us-analysis-ready-data) (ARD) using an implementation of the [Continuous Change Detection and Classification](https://doi.org/10.1016/j.rse.2014.01.011) (CCDC) algorithm. All available clear (non-cloudy) U.S. Landsat ARD observations are fit to a harmonic model to predict future Landsat-like surface reflectance. Where Landsat surface reflectance observations differ significantly from those predictions, a change is identified. Attributes of the resulting model sequences (e.g., start/end dates, residuals, model coefficients) are then used to produce a set of land surface change products and as inputs to the subsequent classification to thematic land cover. \\n\\nThis [STAC](https://stacspec.org/en) Collection contains [LCMAP CONUS Collection 1.3](https://www.usgs.gov/special-topics/lcmap/collection-13-conus-science-products), which was released in August 2022 for years 1985-2021. The data are tiled according to the Landsat ARD tile grid and consist of [Cloud Optimized GeoTIFFs](https://www.cogeo.org/) (COGs) and corresponding metadata files. Note that the provided COGs differ slightly from those in the USGS source data. They have been reprocessed to add overviews, \\\"nodata\\\" values where appropriate, and an updated projection definition.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"conus,land-cover,land-cover-change,lcmap,usgs,usgs-lcmap-conus-v13\", \"license\": \"proprietary\", \"title\": \"USGS LCMAP CONUS Collection 1.3\", \"missionStartDate\": \"1985-01-01T00:00:00Z\"}, \"usgs-lcmap-hawaii-v10\": {\"abstract\": \"The [Land Change Monitoring, Assessment, and Projection](https://www.usgs.gov/special-topics/lcmap) (LCMAP) product provides land cover mapping and change monitoring from the U.S. Geological Survey's [Earth Resources Observation and Science](https://www.usgs.gov/centers/eros) (EROS) Center. LCMAP's Science Products are developed by applying time-series modeling on a per-pixel basis to [Landsat Analysis Ready Data](https://www.usgs.gov/landsat-missions/landsat-us-analysis-ready-data) (ARD) using an implementation of the [Continuous Change Detection and Classification](https://doi.org/10.1016/j.rse.2014.01.011) (CCDC) algorithm. All available clear (non-cloudy) U.S. Landsat ARD observations are fit to a harmonic model to predict future Landsat-like surface reflectance. Where Landsat surface reflectance observations differ significantly from those predictions, a change is identified. Attributes of the resulting model sequences (e.g., start/end dates, residuals, model coefficients) are then used to produce a set of land surface change products and as inputs to the subsequent classification to thematic land cover. \\n\\nThis [STAC](https://stacspec.org/en) Collection contains [LCMAP Hawaii Collection 1.0](https://www.usgs.gov/special-topics/lcmap/collection-1-hawaii-science-products), which was released in January 2022 for years 2000-2020. The data are tiled according to the Landsat ARD tile grid and consist of [Cloud Optimized GeoTIFFs](https://www.cogeo.org/) (COGs) and corresponding metadata files. Note that the provided COGs differ slightly from those in the USGS source data. They have been reprocessed to add overviews, \\\"nodata\\\" values where appropriate, and an updated projection definition.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"hawaii,land-cover,land-cover-change,lcmap,usgs,usgs-lcmap-hawaii-v10\", \"license\": \"proprietary\", \"title\": \"USGS LCMAP Hawaii Collection 1.0\", \"missionStartDate\": \"2000-01-01T00:00:00Z\"}, \"noaa-climate-normals-tabular\": {\"abstract\": \"The [NOAA United States Climate Normals](https://www.ncei.noaa.gov/products/land-based-station/us-climate-normals) provide information about typical climate conditions for thousands of weather station locations across the United States. Normals act both as a ruler to compare current weather and as a predictor of conditions in the near future. The official normals are calculated for a uniform 30 year period, and consist of annual/seasonal, monthly, daily, and hourly averages and statistics of temperature, precipitation, and other climatological variables for each weather station. \\n\\nNOAA produces Climate Normals in accordance with the [World Meteorological Organization](https://public.wmo.int/en) (WMO), of which the United States is a member. The WMO requires each member nation to compute 30-year meteorological quantity averages at least every 30 years, and recommends an update each decade, in part to incorporate newer weather stations. The 1991\\u20132020 U.S. Climate Normals are the latest in a series of decadal normals first produced in the 1950s. \\n\\nThis Collection contains tabular weather variable data at weather station locations in GeoParquet format, converted from the source CSV files. The source NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\\nData are provided for annual/seasonal, monthly, daily, and hourly frequencies for the following time periods:\\n\\n- Legacy 30-year normals (1981\\u20132010)\\n- Supplemental 15-year normals (2006\\u20132020)\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate-normals,climatology,conus,noaa,noaa-climate-normals-tabular,surface-observations,weather\", \"license\": \"proprietary\", \"title\": \"NOAA US Tabular Climate Normals\", \"missionStartDate\": \"1981-01-01T00:00:00Z\"}, \"noaa-climate-normals-netcdf\": {\"abstract\": \"The [NOAA Gridded United States Climate Normals](https://www.ncei.noaa.gov/products/land-based-station/us-climate-normals#tab-1027) provide a continuous grid of temperature and precipitation data across the contiguous United States (CONUS). The grids are derived from NOAA's [NClimGrid dataset](https://planetarycomputer.microsoft.com/dataset/group/noaa-nclimgrid), and resolutions (nominal 5x5 kilometer) and spatial extents (CONUS) therefore match that of NClimGrid. Monthly, seasonal, and annual gridded normals are computed from simple averages of the NClimGrid data and are provided for three time-periods: 1901\\u20132020, 1991\\u20132020, and 2006\\u20132020. Daily gridded normals are smoothed for a smooth transition from one day to another and are provided for two time-periods: 1991\\u20132020, and 2006\\u20132020.\\n\\nNOAA produces Climate Normals in accordance with the [World Meteorological Organization](https://public.wmo.int/en) (WMO), of which the United States is a member. The WMO requires each member nation to compute 30-year meteorological quantity averages at least every 30 years, and recommends an update each decade, in part to incorporate newer weather stations. The 1991\\u20132020 U.S. Climate Normals are the latest in a series of decadal normals first produced in the 1950s. \\n\\nThe data in this Collection are the original NetCDF files provided by NOAA's National Centers for Environmental Information. This Collection contains gridded data for the following frequencies and time periods:\\n\\n- Annual, seasonal, and monthly normals\\n - 100-year (1901\\u20132000)\\n - 30-year (1991\\u20132020)\\n - 15-year (2006\\u20132020)\\n- Daily normals\\n - 30-year (1991\\u20132020)\\n - 15-year (2006\\u20132020)\\n\\nFor most use-cases, we recommend using the [`noaa-climate-normals-gridded`](https://planetarycomputer.microsoft.com/dataset/noaa-climate-normals-gridded) collection, which contains the same data in Cloud Optimized GeoTIFF format. The NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate-normals,climatology,conus,noaa,noaa-climate-normals-netcdf,surface-observations,weather\", \"license\": \"proprietary\", \"title\": \"NOAA US Gridded Climate Normals (NetCDF)\", \"missionStartDate\": \"1901-01-01T00:00:00Z\"}, \"noaa-climate-normals-gridded\": {\"abstract\": \"The [NOAA Gridded United States Climate Normals](https://www.ncei.noaa.gov/products/land-based-station/us-climate-normals#tab-1027) provide a continuous grid of temperature and precipitation data across the contiguous United States (CONUS). The grids are derived from NOAA's [NClimGrid dataset](https://planetarycomputer.microsoft.com/dataset/group/noaa-nclimgrid), and resolutions (nominal 5x5 kilometer) and spatial extents (CONUS) therefore match that of NClimGrid. Monthly, seasonal, and annual gridded normals are computed from simple averages of the NClimGrid data and are provided for three time-periods: 1901\\u20132020, 1991\\u20132020, and 2006\\u20132020. Daily gridded normals are smoothed for a smooth transition from one day to another and are provided for two time-periods: 1991\\u20132020, and 2006\\u20132020.\\n\\nNOAA produces Climate Normals in accordance with the [World Meteorological Organization](https://public.wmo.int/en) (WMO), of which the United States is a member. The WMO requires each member nation to compute 30-year meteorological quantity averages at least every 30 years, and recommends an update each decade, in part to incorporate newer weather stations. The 1991\\u20132020 U.S. Climate Normals are the latest in a series of decadal normals first produced in the 1950s. \\n\\nThis Collection contains gridded data for the following frequencies and time periods:\\n\\n- Annual, seasonal, and monthly normals\\n - 100-year (1901\\u20132000)\\n - 30-year (1991\\u20132020)\\n - 15-year (2006\\u20132020)\\n- Daily normals\\n - 30-year (1991\\u20132020)\\n - 15-year (2006\\u20132020)\\n\\nThe data in this Collection have been converted from the original NetCDF format to Cloud Optimized GeoTIFFs (COGs). The source NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\\n## STAC Metadata\\n\\nThe STAC items in this collection contain several custom fields that can be used to further filter the data.\\n\\n* `noaa_climate_normals:period`: Climate normal time period. This can be \\\"1901-2000\\\", \\\"1991-2020\\\", or \\\"2006-2020\\\".\\n* `noaa_climate_normals:frequency`: Climate normal temporal interval (frequency). This can be \\\"daily\\\", \\\"monthly\\\", \\\"seasonal\\\" , or \\\"annual\\\"\\n* `noaa_climate_normals:time_index`: Time step index, e.g., month of year (1-12).\\n\\nThe `description` field of the assets varies by frequency. Using `prcp_norm` as an example, the descriptions are\\n\\n* annual: \\\"Annual precipitation normals from monthly precipitation normal values\\\"\\n* seasonal: \\\"Seasonal precipitation normals (WSSF) from monthly normals\\\"\\n* monthly: \\\"Monthly precipitation normals from monthly precipitation values\\\"\\n* daily: \\\"Precipitation normals from daily averages\\\"\\n\\nCheck the assets on individual items for the appropriate description.\\n\\nThe STAC keys for most assets consist of two abbreviations. A \\\"variable\\\":\\n\\n\\n| Abbreviation | Description |\\n| ------------ | ---------------------------------------- |\\n| prcp | Precipitation over the time period |\\n| tavg | Mean temperature over the time period |\\n| tmax | Maximum temperature over the time period |\\n| tmin | Minimum temperature over the time period |\\n\\nAnd an \\\"aggregation\\\":\\n\\n| Abbreviation | Description |\\n| ------------ | ------------------------------------------------------------------------------ |\\n| max | Maximum of the variable over the time period |\\n| min | Minimum of the variable over the time period |\\n| std | Standard deviation of the value over the time period |\\n| flag | An count of the number of inputs (months, years, etc.) to calculate the normal |\\n| norm | The normal for the variable over the time period |\\n\\nSo, for example, `prcp_max` for monthly data is the \\\"Maximum values of all input monthly precipitation normal values\\\".\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate-normals,climatology,conus,noaa,noaa-climate-normals-gridded,surface-observations,weather\", \"license\": \"proprietary\", \"title\": \"NOAA US Gridded Climate Normals (Cloud-Optimized GeoTIFF)\", \"missionStartDate\": \"1901-01-01T00:00:00Z\"}, \"aster-l1t\": {\"abstract\": \"The [ASTER](https://terra.nasa.gov/about/terra-instruments/aster) instrument, launched on-board NASA's [Terra](https://terra.nasa.gov/) satellite in 1999, provides multispectral images of the Earth at 15m-90m resolution. ASTER images provide information about land surface temperature, color, elevation, and mineral composition.\\n\\nThis dataset represents ASTER [L1T](https://lpdaac.usgs.gov/products/ast_l1tv003/) data from 2000-2006. L1T images have been terrain-corrected and rotated to a north-up UTM projection. Images are in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\", \"instrument\": \"aster\", \"platform\": null, \"platformSerialIdentifier\": \"terra\", \"processingLevel\": null, \"keywords\": \"aster,aster-l1t,global,nasa,satellite,terra,usgs\", \"license\": \"proprietary\", \"title\": \"ASTER L1T\", \"missionStartDate\": \"2000-03-04T12:00:00Z\"}, \"cil-gdpcir-cc-by-sa\": {\"abstract\": \"The World Climate Research Programme's [6th Coupled Model Intercomparison Project (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) represents an enormous advance in the quality, detail, and scope of climate modeling.\\n\\nThe [Global Downscaled Projections for Climate Impacts Research](https://github.com/ClimateImpactLab/downscaleCMIP6) dataset makes this modeling more applicable to understanding the impacts of changes in the climate on humans and society with two key developments: trend-preserving bias correction and downscaling. In this dataset, the [Climate Impact Lab](https://impactlab.org) provides global, daily minimum and maximum air temperature at the surface (`tasmin` and `tasmax`) and daily cumulative surface precipitation (`pr`) corresponding to the CMIP6 historical, ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 scenarios for 25 global climate models on a 1/4-degree regular global grid.\\n\\n## Accessing the data\\n\\nGDPCIR data can be accessed on the Microsoft Planetary Computer. The dataset is made of of three collections, distinguished by data license:\\n* [Public domain (CC0-1.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0)\\n* [Attribution (CC BY 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by)\\n* [Attribution-ShareAlike (CC BY SA 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by-sa)\\n\\nEach modeling center with bias corrected and downscaled data in this collection falls into one of these license categories - see the [table below](/dataset/cil-gdpcir-cc-by-sa#available-institutions-models-and-scenarios-by-license-collection) to see which model is in each collection, and see the section below on [Citing, Licensing, and using data produced by this project](/dataset/cil-gdpcir-cc-by-sa#citing-licensing-and-using-data-produced-by-this-project) for citations and additional information about each license.\\n\\n## Data format & contents\\n\\nThe data is stored as partitioned zarr stores (see [https://zarr.readthedocs.io](https://zarr.readthedocs.io)), each of which includes thousands of data and metadata files covering the full time span of the experiment. Historical zarr stores contain just over 50 GB, while SSP zarr stores contain nearly 70GB. Each store is stored as a 32-bit float, with dimensions time (daily datetime), lat (float latitude), and lon (float longitude). The data is chunked at each interval of 365 days and 90 degree interval of latitude and longitude. Therefore, each chunk is `(365, 360, 360)`, with each chunk occupying approximately 179MB in memory.\\n\\nHistorical data is daily, excluding leap days, from Jan 1, 1950 to Dec 31, 2014; SSP data is daily, excluding leap days, from Jan 1, 2015 to either Dec 31, 2099 or Dec 31, 2100, depending on data availability in the source GCM.\\n\\nThe spatial domain covers all 0.25-degree grid cells, indexed by the grid center, with grid edges on the quarter-degree, using a -180 to 180 longitude convention. Thus, the \\u201clon\\u201d coordinate extends from -179.875 to 179.875, and the \\u201clat\\u201d coordinate extends from -89.875 to 89.875, with intermediate values at each 0.25-degree increment between (e.g. -179.875, -179.625, -179.375, etc).\\n\\n## Available institutions, models, and scenarios by license collection\\n\\n| Modeling institution | Source model | Available experiments | License collection |\\n| -------------------- | ----------------- | ------------------------------------------ | ---------------------- |\\n| CAS | FGOALS-g3 [^1] | SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM4-8 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM5-0 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| BCC | BCC-CSM2-MR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| CMCC | CMCC-CM2-SR5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40] |\\n| CMCC | CMCC-ESM2 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40] |\\n| CSIRO-ARCCSS | ACCESS-CM2 | SSP2-4.5 and SSP3-7.0 | CC-BY-40] |\\n| CSIRO | ACCESS-ESM1-5 | SSP1-2.6, SSP2-4.5, and SSP3-7.0 | CC-BY-40] |\\n| MIROC | MIROC-ES2L | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MIROC | MIROC6 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MOHC | HadGEM3-GC31-LL | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40] |\\n| MOHC | UKESM1-0-LL | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MPI-M | MPI-ESM1-2-LR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MPI-M/DKRZ [^2] | MPI-ESM1-2-HR | SSP1-2.6 and SSP5-8.5 | CC-BY-40] |\\n| NCC | NorESM2-LM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| NCC | NorESM2-MM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| NOAA-GFDL | GFDL-CM4 | SSP2-4.5 and SSP5-8.5 | CC-BY-40] |\\n| NOAA-GFDL | GFDL-ESM4 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| NUIST | NESM3 | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3 | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3-AerChem | ssp370 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3-CC | ssp245 and ssp585 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3-Veg | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40] |\\n| EC-Earth-Consortium | EC-Earth3-Veg-LR | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40] |\\n| CCCma | CanESM5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-SA-40] |\\n\\n*Notes:*\\n\\n[^1]: At the time of running, no ssp1-2.6 precipitation data was available. Therefore, we provide `tasmin` and `tamax` for this model and experiment, but not `pr`. All other model/experiment combinations in the above table include all three variables.\\n\\n[^2]: The institution which ran MPI-ESM1-2-HR\\u2019s historical (CMIP) simulations is `MPI-M`, while the future (ScenarioMIP) simulations were run by `DKRZ`. Therefore, the institution component of `MPI-ESM1-2-HR` filepaths differ between `historical` and `SSP` scenarios.\\n\\n## Project methods\\n\\nThis project makes use of statistical bias correction and downscaling algorithms, which are specifically designed to accurately represent changes in the extremes. For this reason, we selected Quantile Delta Mapping (QDM), following the method introduced by [Cannon et al. (2015)](https://doi.org/10.1175/JCLI-D-14-00754.1), which preserves quantile-specific trends from the GCM while fitting the full distribution for a given day-of-year to a reference dataset (ERA5).\\n\\nWe then introduce a similar method tailored to increase spatial resolution while preserving extreme behavior, Quantile-Preserving Localized-Analog Downscaling (QPLAD).\\n\\nTogether, these methods provide a robust means to handle both the central and tail behavior seen in climate model output, while aligning the full distribution to a state-of-the-art reanalysis dataset and providing the spatial granularity needed to study surface impacts.\\n\\nFor further documentation, see [Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts](https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1513/) (EGUsphere, 2022 [preprint]).\\n\\n## Citing, licensing, and using data produced by this project\\n\\nProjects making use of the data produced as part of the Climate Impact Lab Global Downscaled Projections for Climate Impacts Research (CIL GDPCIR) project are requested to cite both this project and the source datasets from which these results are derived. Additionally, the use of data derived from some GCMs *requires* citations, and some modeling centers impose licensing restrictions & requirements on derived works. See each GCM's license info in the links below for more information.\\n\\n### CIL GDPCIR\\n\\nUsers are requested to cite this project in derived works. Our method documentation paper may be cited using the following:\\n\\n> Gergel, D. R., Malevich, S. B., McCusker, K. E., Tenezakis, E., Delgado, M. T., Fish, M. A., and Kopp, R. E.: Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1513, 2023. \\n\\nThe code repository may be cited using the following:\\n\\n> Diana Gergel, Kelly McCusker, Brewster Malevich, Emile Tenezakis, Meredith Fish, Michael Delgado (2022). ClimateImpactLab/downscaleCMIP6: (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6403794\\n\\n### ERA5\\n\\nAdditionally, we request you cite the historical dataset used in bias correction and downscaling, ERA5. See the [ECMWF guide to citing a dataset on the Climate Data Store](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it):\\n\\n> Hersbach, H, et al. The ERA5 global reanalysis. Q J R Meteorol Soc.2020; 146: 1999\\u20132049. DOI: [10.1002/qj.3803](https://doi.org/10.1002/qj.3803)\\n>\\n> Mu\\u00f1oz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n>\\n> Mu\\u00f1oz Sabater, J., (2021): ERA5-Land hourly data from 1950 to 1980. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n\\n### GCM-specific citations & licenses\\n\\nThe CMIP6 simulation data made available through the Earth System Grid Federation (ESGF) are subject to Creative Commons [BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) or [BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) licenses. The Climate Impact Lab has reached out to each of the modeling institutions to request waivers from these terms so the outputs of this project may be used with fewer restrictions, and has been granted permission to release the data using the licenses listed here.\\n\\n#### Public Domain Datasets\\n\\nThe following bias corrected and downscaled model simulations are available in the public domain using a [CC0 1.0 Universal Public Domain Declaration](https://creativecommons.org/publicdomain/zero/1.0/). Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0.\\n\\n* **FGOALS-g3**\\n\\n License description: [data_licenses/FGOALS-g3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/FGOALS-g3.txt)\\n\\n CMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 CMIP*. Version 20190826. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1783\\n\\n ScenarioMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190818; SSP2-4.5 version 20190818; SSP3-7.0 version 20190820; SSP5-8.5 tasmax version 20190819; SSP5-8.5 tasmin version 20190819; SSP5-8.5 pr version 20190818. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2056\\n\\n\\n* **INM-CM4-8**\\n\\n License description: [data_licenses/INM-CM4-8.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM4-8.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 CMIP*. Version 20190530. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 ScenarioMIP*. Version 20190603. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12321\\n\\n\\n* **INM-CM5-0**\\n\\n License description: [data_licenses/INM-CM5-0.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM5-0.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 CMIP*. Version 20190610. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1423\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190619; SSP2-4.5 version 20190619; SSP3-7.0 version 20190618; SSP5-8.5 version 20190724. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12322\\n\\n\\n#### CC-BY-4.0\\n\\nThe following bias corrected and downscaled model simulations are licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Note that this license requires citation of the source model output (included here). Please see https://creativecommons.org/licenses/by/4.0/ for more information. Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by.\\n\\n* **ACCESS-CM2**\\n\\n License description: [data_licenses/ACCESS-CM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-CM2.txt)\\n\\n CMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2281\\n\\n ScenarioMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2285\\n\\n\\n* **ACCESS-ESM1-5**\\n\\n License description: [data_licenses/ACCESS-ESM1-5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-ESM1-5.txt)\\n\\n CMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 CMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2288\\n\\n ScenarioMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 ScenarioMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2291\\n\\n\\n* **BCC-CSM2-MR**\\n\\n License description: [data_licenses/BCC-CSM2-MR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/BCC-CSM2-MR.txt)\\n\\n CMIP Citation:\\n\\n > Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen; Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2018)**. *BCC BCC-CSM2MR model output prepared for CMIP6 CMIP*. Version 20181126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1725\\n\\n ScenarioMIP Citation:\\n\\n > Xin, Xiaoge; Wu, Tongwen; Shi, Xueli; Zhang, Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2019)**. *BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190315; SSP2-4.5 version 20190318; SSP3-7.0 version 20190318; SSP5-8.5 version 20190318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1732\\n\\n\\n* **CMCC-CM2-SR5**\\n\\n License description: [data_licenses/CMCC-CM2-SR5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-CM2-SR5.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 CMIP*. Version 20200616. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1362\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200717; SSP2-4.5 version 20200617; SSP3-7.0 version 20200622; SSP5-8.5 version 20200622. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1365\\n\\n\\n* **CMCC-ESM2**\\n\\n License description: [data_licenses/CMCC-ESM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-ESM2.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP*. Version 20210114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13164\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20210126; SSP2-4.5 version 20210129; SSP3-7.0 version 20210202; SSP5-8.5 version 20210126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13168\\n\\n\\n* **EC-Earth3-AerChem**\\n\\n License description: [data_licenses/EC-Earth3-AerChem.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-AerChem.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 CMIP*. Version 20200624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.639\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP*. Version 20200827. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.724\\n\\n\\n* **EC-Earth3-CC**\\n\\n License description: [data_licenses/EC-Earth3-CC.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-CC.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 CMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.640\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2021)**. *EC-Earth-Consortium EC-Earth3-CC model output prepared for CMIP6 ScenarioMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.15327\\n\\n\\n* **EC-Earth3-Veg-LR**\\n\\n License description: [data_licenses/EC-Earth3-Veg-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg-LR.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 CMIP*. Version 20200217. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.643\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20201201; SSP2-4.5 version 20201123; SSP3-7.0 version 20201123; SSP5-8.5 version 20201201. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.728\\n\\n\\n* **EC-Earth3-Veg**\\n\\n License description: [data_licenses/EC-Earth3-Veg.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 CMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.642\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.727\\n\\n\\n* **EC-Earth3**\\n\\n License description: [data_licenses/EC-Earth3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 CMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.181\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 ScenarioMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.251\\n\\n\\n* **GFDL-CM4**\\n\\n License description: [data_licenses/GFDL-CM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-CM4.txt)\\n\\n CMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne, Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1402\\n\\n ScenarioMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, Chris; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9242\\n\\n\\n* **GFDL-ESM4**\\n\\n License description: [data_licenses/GFDL-ESM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-ESM4.txt)\\n\\n CMIP Citation:\\n\\n > Krasting, John P.; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael; Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP*. Version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1407\\n\\n ScenarioMIP Citation:\\n\\n > John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne, John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers, Levi; Stock, Charles; Winton, Michael; Zeng, Yujin **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1414\\n\\n\\n* **HadGEM3-GC31-LL**\\n\\n License description: [data_licenses/HadGEM3-GC31-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/HadGEM3-GC31-LL.txt)\\n\\n CMIP Citation:\\n\\n > Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till; Andrews, Martin; Andrews, Tim **(2018)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP*. Version 20190624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.419\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter **(2019)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200114; SSP2-4.5 version 20190908; SSP5-8.5 version 20200114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10845\\n\\n\\n* **MIROC-ES2L**\\n\\n License description: [data_licenses/MIROC-ES2L.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC-ES2L.txt)\\n\\n CMIP Citation:\\n\\n > Hajima, Tomohiro; Abe, Manabu; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogura, Tomoo; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio; Tachiiri, Kaoru **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 CMIP*. Version 20191129. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.902\\n\\n ScenarioMIP Citation:\\n\\n > Tachiiri, Kaoru; Abe, Manabu; Hajima, Tomohiro; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP*. Version 20200318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.936\\n\\n\\n* **MIROC6**\\n\\n License description: [data_licenses/MIROC6.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC6.txt)\\n\\n CMIP Citation:\\n\\n > Tatebe, Hiroaki; Watanabe, Masahiro **(2018)**. *MIROC MIROC6 model output prepared for CMIP6 CMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.881\\n\\n ScenarioMIP Citation:\\n\\n > Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki **(2019)**. *MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898\\n\\n\\n* **MPI-ESM1-2-HR**\\n\\n License description: [data_licenses/MPI-ESM1-2-HR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-HR.txt)\\n\\n CMIP Citation:\\n\\n > Jungclaus, Johann; Bittner, Matthias; Wieners, Karl-Hermann; Wachsmann, Fabian; Schupfner, Martin; Legutke, Stephanie; Giorgetta, Marco; Reick, Christian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Esch, Monika; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-HR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.741\\n\\n ScenarioMIP Citation:\\n\\n > Schupfner, Martin; Wieners, Karl-Hermann; Wachsmann, Fabian; Steger, Christian; Bittner, Matthias; Jungclaus, Johann; Fr\\u00fch, Barbara; Pankatz, Klaus; Giorgetta, Marco; Reick, Christian; Legutke, Stephanie; Esch, Monika; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *DKRZ MPI-ESM1.2-HR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2450\\n\\n\\n* **MPI-ESM1-2-LR**\\n\\n License description: [data_licenses/MPI-ESM1-2-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-LR.txt)\\n\\n CMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Legutke, Stephanie; Schupfner, Martin; Wachsmann, Fabian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.742\\n\\n ScenarioMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.793\\n\\n\\n* **NESM3**\\n\\n License description: [data_licenses/NESM3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NESM3.txt)\\n\\n CMIP Citation:\\n\\n > Cao, Jian; Wang, Bin **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 CMIP*. Version 20190812. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2021\\n\\n ScenarioMIP Citation:\\n\\n > Cao, Jian **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190806; SSP2-4.5 version 20190805; SSP5-8.5 version 20190811. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2027\\n\\n\\n* **NorESM2-LM**\\n\\n License description: [data_licenses/NorESM2-LM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-LM.txt)\\n\\n CMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 CMIP*. Version 20190815. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.502\\n\\n ScenarioMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.604\\n\\n\\n* **NorESM2-MM**\\n\\n License description: [data_licenses/NorESM2-MM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-MM.txt)\\n\\n CMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.506\\n\\n ScenarioMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.608\\n\\n\\n* **UKESM1-0-LL**\\n\\n License description: [data_licenses/UKESM1-0-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/UKESM1-0-LL.txt)\\n\\n CMIP Citation:\\n\\n > Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Mulcahy, Jane; Sellar, Alistair; Walton, Jeremy; Jones, Colin **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP*. Version 20190627. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1569\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter; Sellar, Alistair; Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Kuhlbrodt, Till; Walton, Jeremy **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190708; SSP2-4.5 version 20190715; SSP3-7.0 version 20190726; SSP5-8.5 version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1567\\n\\n\\n#### CC-BY-SA-4.0\\n\\nThe following bias corrected and downscaled model simulations are licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/). Note that this license requires citation of the source model output (included here) and requires that derived works be shared under the same license. Please see https://creativecommons.org/licenses/by-sa/4.0/ for more information. Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by-sa.\\n\\n* **CanESM5**\\n\\n License description: [data_licenses/CanESM5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CanESM5.txt)\\n\\n CMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 CMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1303\\n\\n ScenarioMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317\\n\\n## Acknowledgements\\n\\nThis work is the result of many years worth of work by members of the [Climate Impact Lab](https://impactlab.org), but would not have been possible without many contributions from across the wider scientific and computing communities.\\n\\nSpecifically, we would like to acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP, and we would like to thank the climate modeling groups for producing and making their model output available. We would particularly like to thank the modeling institutions whose results are included as an input to this repository (listed above) for their contributions to the CMIP6 project and for responding to and granting our requests for license waivers.\\n\\nWe would also like to thank Lamont-Doherty Earth Observatory, the [Pangeo Consortium](https://github.com/pangeo-data) (and especially the [ESGF Cloud Data Working Group](https://pangeo-data.github.io/pangeo-cmip6-cloud/#)) and Google Cloud and the Google Public Datasets program for making the [CMIP6 Google Cloud collection](https://console.cloud.google.com/marketplace/details/noaa-public/cmip6) possible. In particular we're extremely grateful to [Ryan Abernathey](https://github.com/rabernat), [Naomi Henderson](https://github.com/naomi-henderson), [Charles Blackmon-Luca](https://github.com/charlesbluca), [Aparna Radhakrishnan](https://github.com/aradhakrishnanGFDL), [Julius Busecke](https://github.com/jbusecke), and [Charles Stern](https://github.com/cisaacstern) for the huge amount of work they've done to translate the ESGF CMIP6 netCDF archives into consistently-formattted, analysis-ready zarr stores on Google Cloud.\\n\\nWe're also grateful to the [xclim developers](https://github.com/Ouranosinc/xclim/graphs/contributors) ([DOI: 10.5281/zenodo.2795043](https://doi.org/10.5281/zenodo.2795043)), in particular [Pascal Bourgault](https://github.com/aulemahal), [David Huard](https://github.com/huard), and [Travis Logan](https://github.com/tlogan2000), for implementing the QDM bias correction method in the xclim python package, supporting our QPLAD implementation into the package, and ongoing support in integrating dask into downscaling workflows. For method advice and useful conversations, we would like to thank Keith Dixon, Dennis Adams-Smith, and [Joe Hamman](https://github.com/jhamman).\\n\\n## Financial support\\n\\nThis research has been supported by The Rockefeller Foundation and the Microsoft AI for Earth Initiative.\\n\\n## Additional links:\\n\\n* CIL GDPCIR project homepage: [github.com/ClimateImpactLab/downscaleCMIP6](https://github.com/ClimateImpactLab/downscaleCMIP6)\\n* Project listing on zenodo: https://doi.org/10.5281/zenodo.6403794\\n* Climate Impact Lab homepage: [impactlab.org](https://impactlab.org)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cil-gdpcir-cc-by-sa,climate-impact-lab,cmip6,precipitation,rhodium-group,temperature\", \"license\": \"CC-BY-SA-4.0\", \"title\": \"CIL Global Downscaled Projections for Climate Impacts Research (CC-BY-SA-4.0)\", \"missionStartDate\": \"1950-01-01T00:00:00Z\"}, \"io-lulc-9-class\": {\"abstract\": \"Time series of annual global maps of land use and land cover (LULC). It currently has data from 2017-2022. The maps are derived from ESA Sentinel-2 imagery at 10m resolution. Each map is a composite of LULC predictions for 9 classes throughout the year in order to generate a representative snapshot of each year.\\n\\nThis dataset was generated by [Impact Observatory](http://impactobservatory.com/), who used billions of human-labeled pixels (curated by the National Geographic Society) to train a deep learning model for land classification. The global map was produced by applying this model to the Sentinel-2 annual scene collections on the Planetary Computer. Each of the maps has an assessed average accuracy of over 75%.\\n\\nThis map uses an updated model from the [10-class model](https://planetarycomputer.microsoft.com/dataset/io-lulc) and combines Grass(formerly class 3) and Scrub (formerly class 6) into a single Rangeland class (class 11). The original Esri 2020 Land Cover collection uses 10 classes (Grass and Scrub separate) and an older version of the underlying deep learning model. The Esri 2020 Land Cover map was also produced by Impact Observatory. The map remains available for use in existing applications. New applications should use the updated version of 2020 once it is available in this collection, especially when using data from multiple years of this time series, to ensure consistent classification.\\n\\nAll years are available under a Creative Commons BY-4.0.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"global,io-lulc-9-class,land-cover,land-use,sentinel\", \"license\": \"CC-BY-4.0\", \"title\": \"10m Annual Land Use Land Cover (9-class)\", \"missionStartDate\": \"2017-01-01T00:00:00Z\"}, \"io-biodiversity\": {\"abstract\": \"Generated by [Impact Observatory](https://www.impactobservatory.com/), in collaboration with [Vizzuality](https://www.vizzuality.com/), these datasets estimate terrestrial Biodiversity Intactness as 100-meter gridded maps for the years 2017-2020.\\n\\nMaps depicting the intactness of global biodiversity have become a critical tool for spatial planning and management, monitoring the extent of biodiversity across Earth, and identifying critical remaining intact habitat. Yet, these maps are often years out of date by the time they are available to scientists and policy-makers. The datasets in this STAC Collection build on past studies that map Biodiversity Intactness using the [PREDICTS database](https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.2579) of spatially referenced observations of biodiversity across 32,000 sites from over 750 studies. The approach differs from previous work by modeling the relationship between observed biodiversity metrics and contemporary, global, geospatial layers of human pressures, with the intention of providing a high resolution monitoring product into the future.\\n\\nBiodiversity intactness is estimated as a combination of two metrics: Abundance, the quantity of individuals, and Compositional Similarity, how similar the composition of species is to an intact baseline. Linear mixed effects models are fit to estimate the predictive capacity of spatial datasets of human pressures on each of these metrics and project results spatially across the globe. These methods, as well as comparisons to other leading datasets and guidance on interpreting results, are further explained in a methods [white paper](https://ai4edatasetspublicassets.blob.core.windows.net/assets/pdfs/io-biodiversity/Biodiversity_Intactness_whitepaper.pdf) entitled \\u201cGlobal 100m Projections of Biodiversity Intactness for the years 2017-2020.\\u201d\\n\\nAll years are available under a Creative Commons BY-4.0 license.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"biodiversity,global,io-biodiversity\", \"license\": \"CC-BY-4.0\", \"title\": \"Biodiversity Intactness\", \"missionStartDate\": \"2017-01-01T00:00:00Z\"}, \"naip\": {\"abstract\": \"The [National Agriculture Imagery Program](https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/) (NAIP) provides U.S.-wide, high-resolution aerial imagery, with four spectral bands (R, G, B, IR). NAIP is administered by the [Aerial Field Photography Office](https://www.fsa.usda.gov/programs-and-services/aerial-photography/) (AFPO) within the [US Department of Agriculture](https://www.usda.gov/) (USDA). Data are captured at least once every three years for each state. This dataset represents NAIP data from 2010-present, in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"aerial,afpo,agriculture,imagery,naip,united-states,usda\", \"license\": \"proprietary\", \"title\": \"NAIP: National Agriculture Imagery Program\", \"missionStartDate\": \"2010-01-01T00:00:00Z\"}, \"noaa-cdr-sea-surface-temperature-whoi\": {\"abstract\": \"The Sea Surface Temperature-Woods Hole Oceanographic Institution (WHOI) Climate Data Record (CDR) is one of three CDRs which combine to form the NOAA Ocean Surface Bundle (OSB) CDR. The resultant sea surface temperature (SST) data are produced through modeling the diurnal variability in combination with AVHRR SST observations. The final record is output to a 3-hourly 0.25\\u00b0 resolution grid over the global ice-free oceans from January 1988\\u2014present.\\n\\nThese Cloud Optimized GeoTIFFs (COGs) were created from NetCDF files which are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\nFor the NetCDF files, see collection `noaa-cdr-sea-surface-temperature-whoi-netcdf`.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-sea-surface-temperature-whoi,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Sea Surface Temperature - WHOI CDR\", \"missionStartDate\": \"1988-01-01T00:00:00Z\"}, \"noaa-cdr-ocean-heat-content\": {\"abstract\": \"The Ocean Heat Content Climate Data Record (CDR) is a set of ocean heat content anomaly (OHCA) time-series for 1955-present on 3-monthly, yearly, and pentadal (five-yearly) scales. This CDR quantifies ocean heat content change over time, which is an essential metric for understanding climate change and the Earth's energy budget. It provides time-series for multiple depth ranges in the global ocean and each of the major basins (Atlantic, Pacific, and Indian) divided by hemisphere (Northern, Southern).\\n\\nThese Cloud Optimized GeoTIFFs (COGs) were created from NetCDF files which are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\nFor the NetCDF files, see collection `noaa-cdr-ocean-heat-content-netcdf`.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-ocean-heat-content,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Global Ocean Heat Content CDR\", \"missionStartDate\": \"1972-03-01T00:00:00Z\"}, \"cil-gdpcir-cc0\": {\"abstract\": \"The World Climate Research Programme's [6th Coupled Model Intercomparison Project (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) represents an enormous advance in the quality, detail, and scope of climate modeling.\\n\\nThe [Global Downscaled Projections for Climate Impacts Research](https://github.com/ClimateImpactLab/downscaleCMIP6) dataset makes this modeling more applicable to understanding the impacts of changes in the climate on humans and society with two key developments: trend-preserving bias correction and downscaling. In this dataset, the [Climate Impact Lab](https://impactlab.org) provides global, daily minimum and maximum air temperature at the surface (`tasmin` and `tasmax`) and daily cumulative surface precipitation (`pr`) corresponding to the CMIP6 historical, ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 scenarios for 25 global climate models on a 1/4-degree regular global grid.\\n\\n## Accessing the data\\n\\nGDPCIR data can be accessed on the Microsoft Planetary Computer. The dataset is made of of three collections, distinguished by data license:\\n* [Public domain (CC0-1.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0)\\n* [Attribution (CC BY 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by)\\n\\nEach modeling center with bias corrected and downscaled data in this collection falls into one of these license categories - see the [table below](/dataset/cil-gdpcir-cc0#available-institutions-models-and-scenarios-by-license-collection) to see which model is in each collection, and see the section below on [Citing, Licensing, and using data produced by this project](/dataset/cil-gdpcir-cc0#citing-licensing-and-using-data-produced-by-this-project) for citations and additional information about each license.\\n\\n## Data format & contents\\n\\nThe data is stored as partitioned zarr stores (see [https://zarr.readthedocs.io](https://zarr.readthedocs.io)), each of which includes thousands of data and metadata files covering the full time span of the experiment. Historical zarr stores contain just over 50 GB, while SSP zarr stores contain nearly 70GB. Each store is stored as a 32-bit float, with dimensions time (daily datetime), lat (float latitude), and lon (float longitude). The data is chunked at each interval of 365 days and 90 degree interval of latitude and longitude. Therefore, each chunk is `(365, 360, 360)`, with each chunk occupying approximately 180MB in memory.\\n\\nHistorical data is daily, excluding leap days, from Jan 1, 1950 to Dec 31, 2014; SSP data is daily, excluding leap days, from Jan 1, 2015 to either Dec 31, 2099 or Dec 31, 2100, depending on data availability in the source GCM.\\n\\nThe spatial domain covers all 0.25-degree grid cells, indexed by the grid center, with grid edges on the quarter-degree, using a -180 to 180 longitude convention. Thus, the \\u201clon\\u201d coordinate extends from -179.875 to 179.875, and the \\u201clat\\u201d coordinate extends from -89.875 to 89.875, with intermediate values at each 0.25-degree increment between (e.g. -179.875, -179.625, -179.375, etc).\\n\\n## Available institutions, models, and scenarios by license collection\\n\\n| Modeling institution | Source model | Available experiments | License collection |\\n| -------------------- | ----------------- | ------------------------------------------ | ---------------------- |\\n| CAS | FGOALS-g3 [^1] | SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM4-8 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM5-0 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| BCC | BCC-CSM2-MR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| CMCC | CMCC-CM2-SR5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n| CMCC | CMCC-ESM2 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n| CSIRO-ARCCSS | ACCESS-CM2 | SSP2-4.5 and SSP3-7.0 | CC-BY-40 |\\n| CSIRO | ACCESS-ESM1-5 | SSP1-2.6, SSP2-4.5, and SSP3-7.0 | CC-BY-40 |\\n| MIROC | MIROC-ES2L | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MIROC | MIROC6 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MOHC | HadGEM3-GC31-LL | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40 |\\n| MOHC | UKESM1-0-LL | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M | MPI-ESM1-2-LR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M/DKRZ [^2] | MPI-ESM1-2-HR | SSP1-2.6 and SSP5-8.5 | CC-BY-40 |\\n| NCC | NorESM2-LM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NCC | NorESM2-MM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL | GFDL-CM4 | SSP2-4.5 and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL | GFDL-ESM4 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NUIST | NESM3 | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3 | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-AerChem | ssp370 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-CC | ssp245 and ssp585 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-Veg | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-Veg-LR | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| CCCma | CanESM5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40[^3] |\\n\\n*Notes:*\\n\\n[^1]: At the time of running, no ssp1-2.6 precipitation data was available. Therefore, we provide `tasmin` and `tamax` for this model and experiment, but not `pr`. All other model/experiment combinations in the above table include all three variables.\\n\\n[^2]: The institution which ran MPI-ESM1-2-HR\\u2019s historical (CMIP) simulations is `MPI-M`, while the future (ScenarioMIP) simulations were run by `DKRZ`. Therefore, the institution component of `MPI-ESM1-2-HR` filepaths differ between `historical` and `SSP` scenarios.\\n\\n[^3]: This dataset was previously licensed as [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/), but was relicensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0) in March, 2023. \\n\\n## Project methods\\n\\nThis project makes use of statistical bias correction and downscaling algorithms, which are specifically designed to accurately represent changes in the extremes. For this reason, we selected Quantile Delta Mapping (QDM), following the method introduced by [Cannon et al. (2015)](https://doi.org/10.1175/JCLI-D-14-00754.1), which preserves quantile-specific trends from the GCM while fitting the full distribution for a given day-of-year to a reference dataset (ERA5).\\n\\nWe then introduce a similar method tailored to increase spatial resolution while preserving extreme behavior, Quantile-Preserving Localized-Analog Downscaling (QPLAD).\\n\\nTogether, these methods provide a robust means to handle both the central and tail behavior seen in climate model output, while aligning the full distribution to a state-of-the-art reanalysis dataset and providing the spatial granularity needed to study surface impacts.\\n\\nFor further documentation, see [Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts](https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1513/) (EGUsphere, 2022 [preprint]).\\n\\n\\n## Citing, licensing, and using data produced by this project\\n\\nProjects making use of the data produced as part of the Climate Impact Lab Global Downscaled Projections for Climate Impacts Research (CIL GDPCIR) project are requested to cite both this project and the source datasets from which these results are derived. Additionally, the use of data derived from some GCMs *requires* citations, and some modeling centers impose licensing restrictions & requirements on derived works. See each GCM's license info in the links below for more information.\\n\\n### CIL GDPCIR\\n\\nUsers are requested to cite this project in derived works. Our method documentation paper may be cited using the following:\\n\\n> Gergel, D. R., Malevich, S. B., McCusker, K. E., Tenezakis, E., Delgado, M. T., Fish, M. A., and Kopp, R. E.: Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1513, 2023. \\n\\nThe code repository may be cited using the following:\\n\\n> Diana Gergel, Kelly McCusker, Brewster Malevich, Emile Tenezakis, Meredith Fish, Michael Delgado (2022). ClimateImpactLab/downscaleCMIP6: (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6403794\\n\\n### ERA5\\n\\nAdditionally, we request you cite the historical dataset used in bias correction and downscaling, ERA5. See the [ECMWF guide to citing a dataset on the Climate Data Store](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it):\\n\\n> Hersbach, H, et al. The ERA5 global reanalysis. Q J R Meteorol Soc.2020; 146: 1999\\u20132049. DOI: [10.1002/qj.3803](https://doi.org/10.1002/qj.3803)\\n>\\n> Mu\\u00f1oz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n>\\n> Mu\\u00f1oz Sabater, J., (2021): ERA5-Land hourly data from 1950 to 1980. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n\\n### GCM-specific citations & licenses\\n\\nThe CMIP6 simulation data made available through the Earth System Grid Federation (ESGF) are subject to Creative Commons [BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) or [BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) licenses. The Climate Impact Lab has reached out to each of the modeling institutions to request waivers from these terms so the outputs of this project may be used with fewer restrictions, and has been granted permission to release the data using the licenses listed here.\\n\\n#### Public Domain Datasets\\n\\nThe following bias corrected and downscaled model simulations are available in the public domain using a [CC0 1.0 Universal Public Domain Declaration](https://creativecommons.org/publicdomain/zero/1.0/). Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0.\\n\\n* **FGOALS-g3**\\n\\n License description: [data_licenses/FGOALS-g3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/FGOALS-g3.txt)\\n\\n CMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 CMIP*. Version 20190826. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1783\\n\\n ScenarioMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190818; SSP2-4.5 version 20190818; SSP3-7.0 version 20190820; SSP5-8.5 tasmax version 20190819; SSP5-8.5 tasmin version 20190819; SSP5-8.5 pr version 20190818. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2056\\n\\n\\n* **INM-CM4-8**\\n\\n License description: [data_licenses/INM-CM4-8.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM4-8.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 CMIP*. Version 20190530. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 ScenarioMIP*. Version 20190603. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12321\\n\\n\\n* **INM-CM5-0**\\n\\n License description: [data_licenses/INM-CM5-0.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM5-0.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 CMIP*. Version 20190610. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1423\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190619; SSP2-4.5 version 20190619; SSP3-7.0 version 20190618; SSP5-8.5 version 20190724. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12322\\n\\n\\n#### CC-BY-4.0\\n\\nThe following bias corrected and downscaled model simulations are licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Note that this license requires citation of the source model output (included here). Please see https://creativecommons.org/licenses/by/4.0/ for more information. Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by.\\n\\n* **ACCESS-CM2**\\n\\n License description: [data_licenses/ACCESS-CM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-CM2.txt)\\n\\n CMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2281\\n\\n ScenarioMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2285\\n\\n\\n* **ACCESS-ESM1-5**\\n\\n License description: [data_licenses/ACCESS-ESM1-5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-ESM1-5.txt)\\n\\n CMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 CMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2288\\n\\n ScenarioMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 ScenarioMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2291\\n\\n\\n* **BCC-CSM2-MR**\\n\\n License description: [data_licenses/BCC-CSM2-MR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/BCC-CSM2-MR.txt)\\n\\n CMIP Citation:\\n\\n > Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen; Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2018)**. *BCC BCC-CSM2MR model output prepared for CMIP6 CMIP*. Version 20181126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1725\\n\\n ScenarioMIP Citation:\\n\\n > Xin, Xiaoge; Wu, Tongwen; Shi, Xueli; Zhang, Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2019)**. *BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190315; SSP2-4.5 version 20190318; SSP3-7.0 version 20190318; SSP5-8.5 version 20190318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1732\\n\\n\\n* **CMCC-CM2-SR5**\\n\\n License description: [data_licenses/CMCC-CM2-SR5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-CM2-SR5.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 CMIP*. Version 20200616. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1362\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200717; SSP2-4.5 version 20200617; SSP3-7.0 version 20200622; SSP5-8.5 version 20200622. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1365\\n\\n\\n* **CMCC-ESM2**\\n\\n License description: [data_licenses/CMCC-ESM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-ESM2.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP*. Version 20210114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13164\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20210126; SSP2-4.5 version 20210129; SSP3-7.0 version 20210202; SSP5-8.5 version 20210126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13168\\n\\n\\n* **EC-Earth3-AerChem**\\n\\n License description: [data_licenses/EC-Earth3-AerChem.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-AerChem.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 CMIP*. Version 20200624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.639\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP*. Version 20200827. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.724\\n\\n\\n* **EC-Earth3-CC**\\n\\n License description: [data_licenses/EC-Earth3-CC.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-CC.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 CMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.640\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2021)**. *EC-Earth-Consortium EC-Earth3-CC model output prepared for CMIP6 ScenarioMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.15327\\n\\n\\n* **EC-Earth3-Veg-LR**\\n\\n License description: [data_licenses/EC-Earth3-Veg-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg-LR.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 CMIP*. Version 20200217. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.643\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20201201; SSP2-4.5 version 20201123; SSP3-7.0 version 20201123; SSP5-8.5 version 20201201. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.728\\n\\n\\n* **EC-Earth3-Veg**\\n\\n License description: [data_licenses/EC-Earth3-Veg.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 CMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.642\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.727\\n\\n\\n* **EC-Earth3**\\n\\n License description: [data_licenses/EC-Earth3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 CMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.181\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 ScenarioMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.251\\n\\n\\n* **GFDL-CM4**\\n\\n License description: [data_licenses/GFDL-CM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-CM4.txt)\\n\\n CMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne, Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1402\\n\\n ScenarioMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, Chris; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9242\\n\\n\\n* **GFDL-ESM4**\\n\\n License description: [data_licenses/GFDL-ESM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-ESM4.txt)\\n\\n CMIP Citation:\\n\\n > Krasting, John P.; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael; Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP*. Version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1407\\n\\n ScenarioMIP Citation:\\n\\n > John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne, John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers, Levi; Stock, Charles; Winton, Michael; Zeng, Yujin **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1414\\n\\n\\n* **HadGEM3-GC31-LL**\\n\\n License description: [data_licenses/HadGEM3-GC31-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/HadGEM3-GC31-LL.txt)\\n\\n CMIP Citation:\\n\\n > Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till; Andrews, Martin; Andrews, Tim **(2018)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP*. Version 20190624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.419\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter **(2019)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200114; SSP2-4.5 version 20190908; SSP5-8.5 version 20200114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10845\\n\\n\\n* **MIROC-ES2L**\\n\\n License description: [data_licenses/MIROC-ES2L.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC-ES2L.txt)\\n\\n CMIP Citation:\\n\\n > Hajima, Tomohiro; Abe, Manabu; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogura, Tomoo; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio; Tachiiri, Kaoru **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 CMIP*. Version 20191129. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.902\\n\\n ScenarioMIP Citation:\\n\\n > Tachiiri, Kaoru; Abe, Manabu; Hajima, Tomohiro; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP*. Version 20200318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.936\\n\\n\\n* **MIROC6**\\n\\n License description: [data_licenses/MIROC6.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC6.txt)\\n\\n CMIP Citation:\\n\\n > Tatebe, Hiroaki; Watanabe, Masahiro **(2018)**. *MIROC MIROC6 model output prepared for CMIP6 CMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.881\\n\\n ScenarioMIP Citation:\\n\\n > Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki **(2019)**. *MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898\\n\\n\\n* **MPI-ESM1-2-HR**\\n\\n License description: [data_licenses/MPI-ESM1-2-HR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-HR.txt)\\n\\n CMIP Citation:\\n\\n > Jungclaus, Johann; Bittner, Matthias; Wieners, Karl-Hermann; Wachsmann, Fabian; Schupfner, Martin; Legutke, Stephanie; Giorgetta, Marco; Reick, Christian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Esch, Monika; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-HR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.741\\n\\n ScenarioMIP Citation:\\n\\n > Schupfner, Martin; Wieners, Karl-Hermann; Wachsmann, Fabian; Steger, Christian; Bittner, Matthias; Jungclaus, Johann; Fr\\u00fch, Barbara; Pankatz, Klaus; Giorgetta, Marco; Reick, Christian; Legutke, Stephanie; Esch, Monika; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *DKRZ MPI-ESM1.2-HR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2450\\n\\n\\n* **MPI-ESM1-2-LR**\\n\\n License description: [data_licenses/MPI-ESM1-2-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-LR.txt)\\n\\n CMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Legutke, Stephanie; Schupfner, Martin; Wachsmann, Fabian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.742\\n\\n ScenarioMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.793\\n\\n\\n* **NESM3**\\n\\n License description: [data_licenses/NESM3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NESM3.txt)\\n\\n CMIP Citation:\\n\\n > Cao, Jian; Wang, Bin **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 CMIP*. Version 20190812. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2021\\n\\n ScenarioMIP Citation:\\n\\n > Cao, Jian **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190806; SSP2-4.5 version 20190805; SSP5-8.5 version 20190811. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2027\\n\\n\\n* **NorESM2-LM**\\n\\n License description: [data_licenses/NorESM2-LM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-LM.txt)\\n\\n CMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 CMIP*. Version 20190815. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.502\\n\\n ScenarioMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.604\\n\\n\\n* **NorESM2-MM**\\n\\n License description: [data_licenses/NorESM2-MM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-MM.txt)\\n\\n CMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.506\\n\\n ScenarioMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.608\\n\\n\\n* **UKESM1-0-LL**\\n\\n License description: [data_licenses/UKESM1-0-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/UKESM1-0-LL.txt)\\n\\n CMIP Citation:\\n\\n > Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Mulcahy, Jane; Sellar, Alistair; Walton, Jeremy; Jones, Colin **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP*. Version 20190627. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1569\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter; Sellar, Alistair; Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Kuhlbrodt, Till; Walton, Jeremy **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190708; SSP2-4.5 version 20190715; SSP3-7.0 version 20190726; SSP5-8.5 version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1567\\n\\n\\n* **CanESM5**\\n\\n License description: [data_licenses/CanESM5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CanESM5.txt). Note: this dataset was previously licensed\\n under CC BY-SA 4.0, but was relicensed as CC BY 4.0 in March, 2023.\\n\\n CMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 CMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1303\\n\\n ScenarioMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317\\n\\n## Acknowledgements\\n\\nThis work is the result of many years worth of work by members of the [Climate Impact Lab](https://impactlab.org), but would not have been possible without many contributions from across the wider scientific and computing communities.\\n\\nSpecifically, we would like to acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP, and we would like to thank the climate modeling groups for producing and making their model output available. We would particularly like to thank the modeling institutions whose results are included as an input to this repository (listed above) for their contributions to the CMIP6 project and for responding to and granting our requests for license waivers.\\n\\nWe would also like to thank Lamont-Doherty Earth Observatory, the [Pangeo Consortium](https://github.com/pangeo-data) (and especially the [ESGF Cloud Data Working Group](https://pangeo-data.github.io/pangeo-cmip6-cloud/#)) and Google Cloud and the Google Public Datasets program for making the [CMIP6 Google Cloud collection](https://console.cloud.google.com/marketplace/details/noaa-public/cmip6) possible. In particular we're extremely grateful to [Ryan Abernathey](https://github.com/rabernat), [Naomi Henderson](https://github.com/naomi-henderson), [Charles Blackmon-Luca](https://github.com/charlesbluca), [Aparna Radhakrishnan](https://github.com/aradhakrishnanGFDL), [Julius Busecke](https://github.com/jbusecke), and [Charles Stern](https://github.com/cisaacstern) for the huge amount of work they've done to translate the ESGF CMIP6 netCDF archives into consistently-formattted, analysis-ready zarr stores on Google Cloud.\\n\\nWe're also grateful to the [xclim developers](https://github.com/Ouranosinc/xclim/graphs/contributors) ([DOI: 10.5281/zenodo.2795043](https://doi.org/10.5281/zenodo.2795043)), in particular [Pascal Bourgault](https://github.com/aulemahal), [David Huard](https://github.com/huard), and [Travis Logan](https://github.com/tlogan2000), for implementing the QDM bias correction method in the xclim python package, supporting our QPLAD implementation into the package, and ongoing support in integrating dask into downscaling workflows. For method advice and useful conversations, we would like to thank Keith Dixon, Dennis Adams-Smith, and [Joe Hamman](https://github.com/jhamman).\\n\\n## Financial support\\n\\nThis research has been supported by The Rockefeller Foundation and the Microsoft AI for Earth Initiative.\\n\\n## Additional links:\\n\\n* CIL GDPCIR project homepage: [github.com/ClimateImpactLab/downscaleCMIP6](https://github.com/ClimateImpactLab/downscaleCMIP6)\\n* Project listing on zenodo: https://doi.org/10.5281/zenodo.6403794\\n* Climate Impact Lab homepage: [impactlab.org](https://impactlab.org)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cil-gdpcir-cc0,climate-impact-lab,cmip6,precipitation,rhodium-group,temperature\", \"license\": \"CC0-1.0\", \"title\": \"CIL Global Downscaled Projections for Climate Impacts Research (CC0-1.0)\", \"missionStartDate\": \"1950-01-01T00:00:00Z\"}, \"cil-gdpcir-cc-by\": {\"abstract\": \"The World Climate Research Programme's [6th Coupled Model Intercomparison Project (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) represents an enormous advance in the quality, detail, and scope of climate modeling.\\n\\nThe [Global Downscaled Projections for Climate Impacts Research](https://github.com/ClimateImpactLab/downscaleCMIP6) dataset makes this modeling more applicable to understanding the impacts of changes in the climate on humans and society with two key developments: trend-preserving bias correction and downscaling. In this dataset, the [Climate Impact Lab](https://impactlab.org) provides global, daily minimum and maximum air temperature at the surface (`tasmin` and `tasmax`) and daily cumulative surface precipitation (`pr`) corresponding to the CMIP6 historical, ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 scenarios for 25 global climate models on a 1/4-degree regular global grid.\\n\\n## Accessing the data\\n\\nGDPCIR data can be accessed on the Microsoft Planetary Computer. The dataset is made of of three collections, distinguished by data license:\\n* [Public domain (CC0-1.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0)\\n* [Attribution (CC BY 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by)\\n\\nEach modeling center with bias corrected and downscaled data in this collection falls into one of these license categories - see the [table below](/dataset/cil-gdpcir-cc-by#available-institutions-models-and-scenarios-by-license-collection) to see which model is in each collection, and see the section below on [Citing, Licensing, and using data produced by this project](/dataset/cil-gdpcir-cc-by#citing-licensing-and-using-data-produced-by-this-project) for citations and additional information about each license.\\n\\n## Data format & contents\\n\\nThe data is stored as partitioned zarr stores (see [https://zarr.readthedocs.io](https://zarr.readthedocs.io)), each of which includes thousands of data and metadata files covering the full time span of the experiment. Historical zarr stores contain just over 50 GB, while SSP zarr stores contain nearly 70GB. Each store is stored as a 32-bit float, with dimensions time (daily datetime), lat (float latitude), and lon (float longitude). The data is chunked at each interval of 365 days and 90 degree interval of latitude and longitude. Therefore, each chunk is `(365, 360, 360)`, with each chunk occupying approximately 180MB in memory.\\n\\nHistorical data is daily, excluding leap days, from Jan 1, 1950 to Dec 31, 2014; SSP data is daily, excluding leap days, from Jan 1, 2015 to either Dec 31, 2099 or Dec 31, 2100, depending on data availability in the source GCM.\\n\\nThe spatial domain covers all 0.25-degree grid cells, indexed by the grid center, with grid edges on the quarter-degree, using a -180 to 180 longitude convention. Thus, the \\u201clon\\u201d coordinate extends from -179.875 to 179.875, and the \\u201clat\\u201d coordinate extends from -89.875 to 89.875, with intermediate values at each 0.25-degree increment between (e.g. -179.875, -179.625, -179.375, etc).\\n\\n## Available institutions, models, and scenarios by license collection\\n\\n| Modeling institution | Source model | Available experiments | License collection |\\n| -------------------- | ----------------- | ------------------------------------------ | ---------------------- |\\n| CAS | FGOALS-g3 [^1] | SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM4-8 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| INM | INM-CM5-0 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets |\\n| BCC | BCC-CSM2-MR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| CMCC | CMCC-CM2-SR5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n| CMCC | CMCC-ESM2 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n| CSIRO-ARCCSS | ACCESS-CM2 | SSP2-4.5 and SSP3-7.0 | CC-BY-40 |\\n| CSIRO | ACCESS-ESM1-5 | SSP1-2.6, SSP2-4.5, and SSP3-7.0 | CC-BY-40 |\\n| MIROC | MIROC-ES2L | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MIROC | MIROC6 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MOHC | HadGEM3-GC31-LL | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40 |\\n| MOHC | UKESM1-0-LL | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M | MPI-ESM1-2-LR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M/DKRZ [^2] | MPI-ESM1-2-HR | SSP1-2.6 and SSP5-8.5 | CC-BY-40 |\\n| NCC | NorESM2-LM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NCC | NorESM2-MM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL | GFDL-CM4 | SSP2-4.5 and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL | GFDL-ESM4 | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NUIST | NESM3 | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3 | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-AerChem | ssp370 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-CC | ssp245 and ssp585 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-Veg | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium | EC-Earth3-Veg-LR | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| CCCma | CanESM5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40[^3] |\\n\\n*Notes:*\\n\\n[^1]: At the time of running, no ssp1-2.6 precipitation data was available. Therefore, we provide `tasmin` and `tamax` for this model and experiment, but not `pr`. All other model/experiment combinations in the above table include all three variables.\\n\\n[^2]: The institution which ran MPI-ESM1-2-HR\\u2019s historical (CMIP) simulations is `MPI-M`, while the future (ScenarioMIP) simulations were run by `DKRZ`. Therefore, the institution component of `MPI-ESM1-2-HR` filepaths differ between `historical` and `SSP` scenarios.\\n\\n[^3]: This dataset was previously licensed as [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/), but was relicensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0) in March, 2023. \\n\\n## Project methods\\n\\nThis project makes use of statistical bias correction and downscaling algorithms, which are specifically designed to accurately represent changes in the extremes. For this reason, we selected Quantile Delta Mapping (QDM), following the method introduced by [Cannon et al. (2015)](https://doi.org/10.1175/JCLI-D-14-00754.1), which preserves quantile-specific trends from the GCM while fitting the full distribution for a given day-of-year to a reference dataset (ERA5).\\n\\nWe then introduce a similar method tailored to increase spatial resolution while preserving extreme behavior, Quantile-Preserving Localized-Analog Downscaling (QPLAD).\\n\\nTogether, these methods provide a robust means to handle both the central and tail behavior seen in climate model output, while aligning the full distribution to a state-of-the-art reanalysis dataset and providing the spatial granularity needed to study surface impacts.\\n\\nFor further documentation, see [Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts](https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1513/) (EGUsphere, 2022 [preprint]).\\n\\n## Citing, licensing, and using data produced by this project\\n\\nProjects making use of the data produced as part of the Climate Impact Lab Global Downscaled Projections for Climate Impacts Research (CIL GDPCIR) project are requested to cite both this project and the source datasets from which these results are derived. Additionally, the use of data derived from some GCMs *requires* citations, and some modeling centers impose licensing restrictions & requirements on derived works. See each GCM's license info in the links below for more information.\\n\\n### CIL GDPCIR\\n\\nUsers are requested to cite this project in derived works. Our method documentation paper may be cited using the following:\\n\\n> Gergel, D. R., Malevich, S. B., McCusker, K. E., Tenezakis, E., Delgado, M. T., Fish, M. A., and Kopp, R. E.: Global downscaled projections for climate impacts research (GDPCIR): preserving extremes for modeling future climate impacts, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1513, 2023. \\n\\nThe code repository may be cited using the following:\\n\\n> Diana Gergel, Kelly McCusker, Brewster Malevich, Emile Tenezakis, Meredith Fish, Michael Delgado (2022). ClimateImpactLab/downscaleCMIP6: (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6403794\\n\\n### ERA5\\n\\nAdditionally, we request you cite the historical dataset used in bias correction and downscaling, ERA5. See the [ECMWF guide to citing a dataset on the Climate Data Store](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it):\\n\\n> Hersbach, H, et al. The ERA5 global reanalysis. Q J R Meteorol Soc.2020; 146: 1999\\u20132049. DOI: [10.1002/qj.3803](https://doi.org/10.1002/qj.3803)\\n>\\n> Mu\\u00f1oz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n>\\n> Mu\\u00f1oz Sabater, J., (2021): ERA5-Land hourly data from 1950 to 1980. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n\\n### GCM-specific citations & licenses\\n\\nThe CMIP6 simulation data made available through the Earth System Grid Federation (ESGF) are subject to Creative Commons [BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) or [BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) licenses. The Climate Impact Lab has reached out to each of the modeling institutions to request waivers from these terms so the outputs of this project may be used with fewer restrictions, and has been granted permission to release the data using the licenses listed here.\\n\\n#### Public Domain Datasets\\n\\nThe following bias corrected and downscaled model simulations are available in the public domain using a [CC0 1.0 Universal Public Domain Declaration](https://creativecommons.org/publicdomain/zero/1.0/). Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0.\\n\\n* **FGOALS-g3**\\n\\n License description: [data_licenses/FGOALS-g3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/FGOALS-g3.txt)\\n\\n CMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 CMIP*. Version 20190826. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1783\\n\\n ScenarioMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190818; SSP2-4.5 version 20190818; SSP3-7.0 version 20190820; SSP5-8.5 tasmax version 20190819; SSP5-8.5 tasmin version 20190819; SSP5-8.5 pr version 20190818. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2056\\n\\n\\n* **INM-CM4-8**\\n\\n License description: [data_licenses/INM-CM4-8.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM4-8.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 CMIP*. Version 20190530. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8 model output prepared for CMIP6 ScenarioMIP*. Version 20190603. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12321\\n\\n\\n* **INM-CM5-0**\\n\\n License description: [data_licenses/INM-CM5-0.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM5-0.txt)\\n\\n CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 CMIP*. Version 20190610. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1423\\n\\n ScenarioMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190619; SSP2-4.5 version 20190619; SSP3-7.0 version 20190618; SSP5-8.5 version 20190724. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12322\\n\\n\\n#### CC-BY-4.0\\n\\nThe following bias corrected and downscaled model simulations are licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Note that this license requires citation of the source model output (included here). Please see https://creativecommons.org/licenses/by/4.0/ for more information. Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by.\\n\\n* **ACCESS-CM2**\\n\\n License description: [data_licenses/ACCESS-CM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-CM2.txt)\\n\\n CMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2281\\n\\n ScenarioMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2285\\n\\n\\n* **ACCESS-ESM1-5**\\n\\n License description: [data_licenses/ACCESS-ESM1-5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-ESM1-5.txt)\\n\\n CMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 CMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2288\\n\\n ScenarioMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared for CMIP6 ScenarioMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2291\\n\\n\\n* **BCC-CSM2-MR**\\n\\n License description: [data_licenses/BCC-CSM2-MR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/BCC-CSM2-MR.txt)\\n\\n CMIP Citation:\\n\\n > Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen; Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2018)**. *BCC BCC-CSM2MR model output prepared for CMIP6 CMIP*. Version 20181126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1725\\n\\n ScenarioMIP Citation:\\n\\n > Xin, Xiaoge; Wu, Tongwen; Shi, Xueli; Zhang, Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min **(2019)**. *BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190315; SSP2-4.5 version 20190318; SSP3-7.0 version 20190318; SSP5-8.5 version 20190318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1732\\n\\n\\n* **CMCC-CM2-SR5**\\n\\n License description: [data_licenses/CMCC-CM2-SR5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-CM2-SR5.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 CMIP*. Version 20200616. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1362\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200717; SSP2-4.5 version 20200617; SSP3-7.0 version 20200622; SSP5-8.5 version 20200622. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1365\\n\\n\\n* **CMCC-ESM2**\\n\\n License description: [data_licenses/CMCC-ESM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-ESM2.txt)\\n\\n CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP*. Version 20210114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13164\\n\\n ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\\u00f6n, Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20210126; SSP2-4.5 version 20210129; SSP3-7.0 version 20210202; SSP5-8.5 version 20210126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13168\\n\\n\\n* **EC-Earth3-AerChem**\\n\\n License description: [data_licenses/EC-Earth3-AerChem.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-AerChem.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 CMIP*. Version 20200624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.639\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP*. Version 20200827. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.724\\n\\n\\n* **EC-Earth3-CC**\\n\\n License description: [data_licenses/EC-Earth3-CC.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-CC.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 CMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.640\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2021)**. *EC-Earth-Consortium EC-Earth3-CC model output prepared for CMIP6 ScenarioMIP*. Version 20210113. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.15327\\n\\n\\n* **EC-Earth3-Veg-LR**\\n\\n License description: [data_licenses/EC-Earth3-Veg-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg-LR.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 CMIP*. Version 20200217. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.643\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20201201; SSP2-4.5 version 20201123; SSP3-7.0 version 20201123; SSP5-8.5 version 20201201. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.728\\n\\n\\n* **EC-Earth3-Veg**\\n\\n License description: [data_licenses/EC-Earth3-Veg.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 CMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.642\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP*. Version 20200225. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.727\\n\\n\\n* **EC-Earth3**\\n\\n License description: [data_licenses/EC-Earth3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3.txt)\\n\\n CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 CMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.181\\n\\n ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 ScenarioMIP*. Version 20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.251\\n\\n\\n* **GFDL-CM4**\\n\\n License description: [data_licenses/GFDL-CM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-CM4.txt)\\n\\n CMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne, Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1402\\n\\n ScenarioMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, Chris; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9242\\n\\n\\n* **GFDL-ESM4**\\n\\n License description: [data_licenses/GFDL-ESM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-ESM4.txt)\\n\\n CMIP Citation:\\n\\n > Krasting, John P.; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael; Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 CMIP*. Version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1407\\n\\n ScenarioMIP Citation:\\n\\n > John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne, John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers, Levi; Stock, Charles; Winton, Michael; Zeng, Yujin **(2018)**. *NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1414\\n\\n\\n* **HadGEM3-GC31-LL**\\n\\n License description: [data_licenses/HadGEM3-GC31-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/HadGEM3-GC31-LL.txt)\\n\\n CMIP Citation:\\n\\n > Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till; Andrews, Martin; Andrews, Tim **(2018)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 CMIP*. Version 20190624. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.419\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter **(2019)**. *MOHC HadGEM3-GC31-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200114; SSP2-4.5 version 20190908; SSP5-8.5 version 20200114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10845\\n\\n\\n* **MIROC-ES2L**\\n\\n License description: [data_licenses/MIROC-ES2L.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC-ES2L.txt)\\n\\n CMIP Citation:\\n\\n > Hajima, Tomohiro; Abe, Manabu; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogura, Tomoo; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio; Tachiiri, Kaoru **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 CMIP*. Version 20191129. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.902\\n\\n ScenarioMIP Citation:\\n\\n > Tachiiri, Kaoru; Abe, Manabu; Hajima, Tomohiro; Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogochi, Koji; Watanabe, Michio; Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP*. Version 20200318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.936\\n\\n\\n* **MIROC6**\\n\\n License description: [data_licenses/MIROC6.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC6.txt)\\n\\n CMIP Citation:\\n\\n > Tatebe, Hiroaki; Watanabe, Masahiro **(2018)**. *MIROC MIROC6 model output prepared for CMIP6 CMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.881\\n\\n ScenarioMIP Citation:\\n\\n > Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki **(2019)**. *MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP*. Version 20191016. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898\\n\\n\\n* **MPI-ESM1-2-HR**\\n\\n License description: [data_licenses/MPI-ESM1-2-HR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-HR.txt)\\n\\n CMIP Citation:\\n\\n > Jungclaus, Johann; Bittner, Matthias; Wieners, Karl-Hermann; Wachsmann, Fabian; Schupfner, Martin; Legutke, Stephanie; Giorgetta, Marco; Reick, Christian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Esch, Monika; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-HR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.741\\n\\n ScenarioMIP Citation:\\n\\n > Schupfner, Martin; Wieners, Karl-Hermann; Wachsmann, Fabian; Steger, Christian; Bittner, Matthias; Jungclaus, Johann; Fr\\u00fch, Barbara; Pankatz, Klaus; Giorgetta, Marco; Reick, Christian; Legutke, Stephanie; Esch, Monika; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *DKRZ MPI-ESM1.2-HR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2450\\n\\n\\n* **MPI-ESM1-2-LR**\\n\\n License description: [data_licenses/MPI-ESM1-2-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-LR.txt)\\n\\n CMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Legutke, Stephanie; Schupfner, Martin; Wachsmann, Fabian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.742\\n\\n ScenarioMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\\u00f6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\\u00fcller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.793\\n\\n\\n* **NESM3**\\n\\n License description: [data_licenses/NESM3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NESM3.txt)\\n\\n CMIP Citation:\\n\\n > Cao, Jian; Wang, Bin **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 CMIP*. Version 20190812. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2021\\n\\n ScenarioMIP Citation:\\n\\n > Cao, Jian **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190806; SSP2-4.5 version 20190805; SSP5-8.5 version 20190811. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2027\\n\\n\\n* **NorESM2-LM**\\n\\n License description: [data_licenses/NorESM2-LM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-LM.txt)\\n\\n CMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 CMIP*. Version 20190815. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.502\\n\\n ScenarioMIP Citation:\\n\\n > Seland, \\u00d8yvind; Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.604\\n\\n\\n* **NorESM2-MM**\\n\\n License description: [data_licenses/NorESM2-MM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-MM.txt)\\n\\n CMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.506\\n\\n ScenarioMIP Citation:\\n\\n > Bentsen, Mats; Olivi\\u00e8, Dirk Jan Leo; Seland, \\u00d8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\\u00e5g, Alf; Schwinger, J\\u00f6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.608\\n\\n\\n* **UKESM1-0-LL**\\n\\n License description: [data_licenses/UKESM1-0-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/UKESM1-0-LL.txt)\\n\\n CMIP Citation:\\n\\n > Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Mulcahy, Jane; Sellar, Alistair; Walton, Jeremy; Jones, Colin **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP*. Version 20190627. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1569\\n\\n ScenarioMIP Citation:\\n\\n > Good, Peter; Sellar, Alistair; Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Kuhlbrodt, Till; Walton, Jeremy **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190708; SSP2-4.5 version 20190715; SSP3-7.0 version 20190726; SSP5-8.5 version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1567\\n\\n* **CanESM5**\\n\\n License description: [data_licenses/CanESM5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CanESM5.txt). Note: this dataset was previously licensed\\n under CC BY-SA 4.0, but was relicensed as CC BY 4.0 in March, 2023.\\n\\n CMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 CMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1303\\n\\n ScenarioMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP*. Version 20190429. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317\\n\\n## Acknowledgements\\n\\nThis work is the result of many years worth of work by members of the [Climate Impact Lab](https://impactlab.org), but would not have been possible without many contributions from across the wider scientific and computing communities.\\n\\nSpecifically, we would like to acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, which is responsible for CMIP, and we would like to thank the climate modeling groups for producing and making their model output available. We would particularly like to thank the modeling institutions whose results are included as an input to this repository (listed above) for their contributions to the CMIP6 project and for responding to and granting our requests for license waivers.\\n\\nWe would also like to thank Lamont-Doherty Earth Observatory, the [Pangeo Consortium](https://github.com/pangeo-data) (and especially the [ESGF Cloud Data Working Group](https://pangeo-data.github.io/pangeo-cmip6-cloud/#)) and Google Cloud and the Google Public Datasets program for making the [CMIP6 Google Cloud collection](https://console.cloud.google.com/marketplace/details/noaa-public/cmip6) possible. In particular we're extremely grateful to [Ryan Abernathey](https://github.com/rabernat), [Naomi Henderson](https://github.com/naomi-henderson), [Charles Blackmon-Luca](https://github.com/charlesbluca), [Aparna Radhakrishnan](https://github.com/aradhakrishnanGFDL), [Julius Busecke](https://github.com/jbusecke), and [Charles Stern](https://github.com/cisaacstern) for the huge amount of work they've done to translate the ESGF CMIP6 netCDF archives into consistently-formattted, analysis-ready zarr stores on Google Cloud.\\n\\nWe're also grateful to the [xclim developers](https://github.com/Ouranosinc/xclim/graphs/contributors) ([DOI: 10.5281/zenodo.2795043](https://doi.org/10.5281/zenodo.2795043)), in particular [Pascal Bourgault](https://github.com/aulemahal), [David Huard](https://github.com/huard), and [Travis Logan](https://github.com/tlogan2000), for implementing the QDM bias correction method in the xclim python package, supporting our QPLAD implementation into the package, and ongoing support in integrating dask into downscaling workflows. For method advice and useful conversations, we would like to thank Keith Dixon, Dennis Adams-Smith, and [Joe Hamman](https://github.com/jhamman).\\n\\n## Financial support\\n\\nThis research has been supported by The Rockefeller Foundation and the Microsoft AI for Earth Initiative.\\n\\n## Additional links:\\n\\n* CIL GDPCIR project homepage: [github.com/ClimateImpactLab/downscaleCMIP6](https://github.com/ClimateImpactLab/downscaleCMIP6)\\n* Project listing on zenodo: https://doi.org/10.5281/zenodo.6403794\\n* Climate Impact Lab homepage: [impactlab.org](https://impactlab.org)\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"cil-gdpcir-cc-by,climate-impact-lab,cmip6,precipitation,rhodium-group,temperature\", \"license\": \"CC-BY-4.0\", \"title\": \"CIL Global Downscaled Projections for Climate Impacts Research (CC-BY-4.0)\", \"missionStartDate\": \"1950-01-01T00:00:00Z\"}, \"noaa-cdr-sea-surface-temperature-whoi-netcdf\": {\"abstract\": \"The Sea Surface Temperature-Woods Hole Oceanographic Institution (WHOI) Climate Data Record (CDR) is one of three CDRs which combine to form the NOAA Ocean Surface Bundle (OSB) CDR. The resultant sea surface temperature (SST) data are produced through modeling the diurnal variability in combination with AVHRR SST observations. The final record is output to a 3-hourly 0.25\\u00b0 resolution grid over the global ice-free oceans from January 1988\\u2014present.\\n\\nThis is a NetCDF-only collection, for Cloud-Optimized GeoTIFFs use collection `noaa-cdr-sea-surface-temperature-whoi`.\\nThe NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-sea-surface-temperature-whoi-netcdf,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Sea Surface Temperature - WHOI CDR NetCDFs\", \"missionStartDate\": \"1988-01-01T00:00:00Z\"}, \"noaa-cdr-sea-surface-temperature-optimum-interpolation\": {\"abstract\": \"The NOAA 1/4\\u00b0 daily Optimum Interpolation Sea Surface Temperature (or daily OISST) Climate Data Record (CDR) provides complete ocean temperature fields constructed by combining bias-adjusted observations from different platforms (satellites, ships, buoys) on a regular global grid, with gaps filled in by interpolation. The main input source is satellite data from the Advanced Very High Resolution Radiometer (AVHRR), which provides high temporal-spatial coverage from late 1981-present. This input must be adjusted to the buoys due to erroneous cold SST data following the Mt Pinatubo and El Chichon eruptions. Applications include climate modeling, resource management, ecological studies on annual to daily scales.\\n\\nThese Cloud Optimized GeoTIFFs (COGs) were created from NetCDF files which are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\nFor the NetCDF files, see collection `noaa-cdr-sea-surface-temperature-optimum-interpolation-netcdf`.\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-sea-surface-temperature-optimum-interpolation,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Sea Surface Temperature - Optimum Interpolation CDR\", \"missionStartDate\": \"1981-09-01T00:00:00Z\"}, \"modis-10A1-061\": {\"abstract\": \"This global Level-3 (L3) data set provides a daily composite of snow cover and albedo derived from the 'MODIS Snow Cover 5-Min L2 Swath 500m' data set. Each data granule is a 10degx10deg tile projected to a 500 m sinusoidal grid.\", \"instrument\": \"modis\", \"platform\": null, \"platformSerialIdentifier\": \"aqua,terra\", \"processingLevel\": null, \"keywords\": \"aqua,global,mod10a1,modis,modis-10a1-061,myd10a1,nasa,satellite,snow,terra\", \"license\": \"proprietary\", \"title\": \"MODIS Snow Cover Daily\", \"missionStartDate\": \"2000-02-24T00:00:00Z\"}, \"sentinel-5p-l2-netcdf\": {\"abstract\": \"The Copernicus [Sentinel-5 Precursor](https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5p) mission provides high spatio-temporal resolution measurements of the Earth's atmosphere. The mission consists of one satellite carrying the [TROPOspheric Monitoring Instrument](http://www.tropomi.eu/) (TROPOMI). The satellite flies in loose formation with NASA's [Suomi NPP](https://www.nasa.gov/mission_pages/NPP/main/index.html) spacecraft, allowing utilization of co-located cloud mask data provided by the [Visible Infrared Imaging Radiometer Suite](https://www.nesdis.noaa.gov/current-satellite-missions/currently-flying/joint-polar-satellite-system/visible-infrared-imaging) (VIIRS) instrument onboard Suomi NPP during processing of the TROPOMI methane product.\\n\\nThe Sentinel-5 Precursor mission aims to reduce the global atmospheric data gap between the retired [ENVISAT](https://earth.esa.int/eogateway/missions/envisat) and [AURA](https://www.nasa.gov/mission_pages/aura/main/index.html) missions and the future [Sentinel-5](https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5) mission. Sentinel-5 Precursor [Level 2 data](http://www.tropomi.eu/data-products/level-2-products) provide total columns of ozone, sulfur dioxide, nitrogen dioxide, carbon monoxide and formaldehyde, tropospheric columns of ozone, vertical profiles of ozone and cloud & aerosol information. These measurements are used for improving air quality forecasts and monitoring the concentrations of atmospheric constituents.\\n\\nThis STAC Collection provides Sentinel-5 Precursor Level 2 data, in NetCDF format, since April 2018 for the following products:\\n\\n* [`L2__AER_AI`](http://www.tropomi.eu/data-products/uv-aerosol-index): Ultraviolet aerosol index\\n* [`L2__AER_LH`](http://www.tropomi.eu/data-products/aerosol-layer-height): Aerosol layer height\\n* [`L2__CH4___`](http://www.tropomi.eu/data-products/methane): Methane (CH<sub>4</sub>) total column\\n* [`L2__CLOUD_`](http://www.tropomi.eu/data-products/cloud): Cloud fraction, albedo, and top pressure\\n* [`L2__CO____`](http://www.tropomi.eu/data-products/carbon-monoxide): Carbon monoxide (CO) total column\\n* [`L2__HCHO__`](http://www.tropomi.eu/data-products/formaldehyde): Formaldehyde (HCHO) total column\\n* [`L2__NO2___`](http://www.tropomi.eu/data-products/nitrogen-dioxide): Nitrogen dioxide (NO<sub>2</sub>) total column\\n* [`L2__O3____`](http://www.tropomi.eu/data-products/total-ozone-column): Ozone (O<sub>3</sub>) total column\\n* [`L2__O3_TCL`](http://www.tropomi.eu/data-products/tropospheric-ozone-column): Ozone (O<sub>3</sub>) tropospheric column\\n* [`L2__SO2___`](http://www.tropomi.eu/data-products/sulphur-dioxide): Sulfur dioxide (SO<sub>2</sub>) total column\\n* [`L2__NP_BD3`](http://www.tropomi.eu/data-products/auxiliary): Cloud from the Suomi NPP mission, band 3\\n* [`L2__NP_BD6`](http://www.tropomi.eu/data-products/auxiliary): Cloud from the Suomi NPP mission, band 6\\n* [`L2__NP_BD7`](http://www.tropomi.eu/data-products/auxiliary): Cloud from the Suomi NPP mission, band 7\\n\", \"instrument\": \"TROPOMI\", \"platform\": \"Sentinel-5P\", \"platformSerialIdentifier\": \"Sentinel 5 Precursor\", \"processingLevel\": null, \"keywords\": \"air-quality,climate-change,copernicus,esa,forecasting,sentinel,sentinel-5-precursor,sentinel-5p,sentinel-5p-l2-netcdf,tropomi\", \"license\": \"proprietary\", \"title\": \"Sentinel-5P Level-2\", \"missionStartDate\": \"2018-04-30T00:18:50Z\"}, \"sentinel-3-olci-wfr-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 Full Resolution [OLCI Level-2 Water][olci-l2] products containing data on water-leaving reflectance, ocean color, and more.\\n\\n## Data files\\n\\nThis dataset includes data on:\\n\\n- Surface directional reflectance\\n- Chlorophyll-a concentration\\n- Suspended matter concentration\\n- Energy flux\\n- Aerosol load\\n- Integrated water vapor column\\n\\nEach variable is contained within NetCDF files. Error estimates are available for each product.\\n\\n## Processing overview\\n\\nThe values in the data files have been converted from Top of Atmosphere radiance to reflectance, and include various corrections for gaseous absorption and pixel classification. More information about the product and data processing can be found in the [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-water) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-2/processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from November 2017 to present.\\n\\n[olci-l2]: https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-2/ocean-products\\n\", \"instrument\": \"OLCI\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,ocean,olci,sentinel,sentinel-3,sentinel-3-olci-wfr-l2-netcdf,sentinel-3a,sentinel-3b,water\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Water (Full Resolution)\", \"missionStartDate\": \"2017-11-01T00:07:01.738487Z\"}, \"noaa-cdr-ocean-heat-content-netcdf\": {\"abstract\": \"The Ocean Heat Content Climate Data Record (CDR) is a set of ocean heat content anomaly (OHCA) time-series for 1955-present on 3-monthly, yearly, and pentadal (five-yearly) scales. This CDR quantifies ocean heat content change over time, which is an essential metric for understanding climate change and the Earth's energy budget. It provides time-series for multiple depth ranges in the global ocean and each of the major basins (Atlantic, Pacific, and Indian) divided by hemisphere (Northern, Southern).\\n\\nThis is a NetCDF-only collection, for Cloud-Optimized GeoTIFFs use collection `noaa-cdr-ocean-heat-content`.\\nThe NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"climate,global,noaa,noaa-cdr-ocean-heat-content-netcdf,ocean,temperature\", \"license\": \"proprietary\", \"title\": \"Global Ocean Heat Content CDR NetCDFs\", \"missionStartDate\": \"1972-03-01T00:00:00Z\"}, \"sentinel-3-synergy-aod-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 Aerosol Optical Depth](https://sentinels.copernicus.eu/web/sentinel/level-2-aod) product, which is a downstream development of the Sentinel-2 Level-1 [OLCI Full Resolution](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci/data-formats/level-1) and [SLSTR Radiances and Brightness Temperatures](https://sentinels.copernicus.eu/web/sentinel/user-guides/Sentinel-3-slstr/data-formats/level-1) products. The dataset provides both retrieved and diagnostic global aerosol parameters at super-pixel (4.5 km x 4.5 km) resolution in a single NetCDF file for all regions over land and ocean free of snow/ice cover, excluding high cloud fraction data. The retrieved and derived aerosol parameters are:\\n\\n- Aerosol Optical Depth (AOD) at 440, 550, 670, 985, 1600 and 2250 nm\\n- Error estimates (i.e. standard deviation) in AOD at 440, 550, 670, 985, 1600 and 2250 nm\\n- Single Scattering Albedo (SSA) at 440, 550, 670, 985, 1600 and 2250 nm\\n- Fine-mode AOD at 550nm\\n- Aerosol Angstrom parameter between 550 and 865nm\\n- Dust AOD at 550nm\\n- Aerosol absorption optical depth at 550nm\\n\\nAtmospherically corrected nadir surface directional reflectances at 440, 550, 670, 985, 1600 and 2250 nm at super-pixel (4.5 km x 4.5 km) resolution are also provided. More information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/level-2-aod) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/products-algorithms/level-2-aod-algorithms-and-products).\\n\\nThis Collection contains Level-2 data in NetCDF files from April 2020 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"aerosol,copernicus,esa,global,olci,satellite,sentinel,sentinel-3,sentinel-3-synergy-aod-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Global Aerosol\", \"missionStartDate\": \"2020-04-16T19:36:28.012367Z\"}, \"sentinel-3-synergy-v10-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 10-Day Surface Reflectance and NDVI](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vg1-v10) products, which are SPOT VEGETATION Continuity Products similar to those obtained from the [VEGETATION instrument](https://docs.terrascope.be/#/Satellites/SPOT-VGT/MissionInstruments) onboard the SPOT-4 and SPOT-5 satellites. The primary variables are a maximum Normalized Difference Vegetation Index (NDVI) composite, which is derived from ground reflectance during a 10-day window, and four surface reflectance bands:\\n\\n- B0 (Blue, 450nm)\\n- B2 (Red, 645nm)\\n- B3 (NIR, 835nm)\\n- MIR (SWIR, 1665nm)\\n\\nThe four reflectance bands have center wavelengths matching those on the original SPOT VEGETATION instrument. The NDVI variable, which is an indicator of the amount of vegetation, is derived from the B3 and B2 bands.\\n\\n## Data files\\n\\nThe four reflectance bands and NDVI values are each contained in dedicated NetCDF files. Additional metadata are delivered in annotation NetCDF files, each containing a single variable, including the geometric viewing and illumination conditions, the total water vapour and ozone columns, and the aerosol optical depth.\\n\\nEach 10-day product is delivered as a set of 10 rectangular scenes:\\n\\n- AFRICA\\n- NORTH_AMERICA\\n- SOUTH_AMERICA\\n- CENTRAL_AMERICA\\n- NORTH_ASIA\\n- WEST_ASIA\\n- SOUTH_EAST_ASIA\\n- ASIAN_ISLANDS\\n- AUSTRALASIA\\n- EUROPE\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vg1-v10) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/vgt-s/v10-product).\\n\\nThis Collection contains Level-2 data in NetCDF files from September 2018 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,ndvi,olci,reflectance,satellite,sentinel,sentinel-3,sentinel-3-synergy-v10-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 10-Day Surface Reflectance and NDVI (SPOT VEGETATION)\", \"missionStartDate\": \"2018-09-27T11:17:21Z\"}, \"sentinel-3-olci-lfr-l2-netcdf\": {\"abstract\": \"This collection provides Sentinel-3 Full Resolution [OLCI Level-2 Land][olci-l2] products containing data on global vegetation, chlorophyll, and water vapor.\\n\\n## Data files\\n\\nThis dataset includes data on three primary variables:\\n\\n* OLCI global vegetation index file\\n* terrestrial Chlorophyll index file\\n* integrated water vapor over water file.\\n\\nEach variable is contained within a separate NetCDF file, and is cataloged as an asset in each Item.\\n\\nSeveral associated variables are also provided in the annotations data files:\\n\\n* rectified reflectance for red and NIR channels (RC681 and RC865)\\n* classification, quality and science flags (LQSF)\\n* common data such as the ortho-geolocation of land pixels, solar and satellite angles, atmospheric and meteorological data, time stamp or instrument information. These variables are inherited from Level-1B products.\\n\\nThis full resolution product offers a spatial sampling of approximately 300 m.\\n\\n## Processing overview\\n\\nThe values in the data files have been converted from Top of Atmosphere radiance to reflectance, and include various corrections for gaseous absorption and pixel classification. More information about the product and data processing can be found in the [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-land) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-2/processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from April 2016 to present.\\n\\n[olci-l2]: https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-2/land-products\\n\", \"instrument\": \"OLCI\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"biomass,copernicus,esa,land,olci,sentinel,sentinel-3,sentinel-3-olci-lfr-l2-netcdf,sentinel-3a,sentinel-3b\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Land (Full Resolution)\", \"missionStartDate\": \"2016-04-25T11:33:47.368562Z\"}, \"sentinel-3-sral-lan-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SRAL Level-2 Land Altimetry](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-altimetry/level-2-algorithms-products) products, which contain data on land radar altimetry measurements. Each product contains three NetCDF files:\\n\\n- A reduced data file containing a subset of the 1 Hz Ku-band parameters.\\n- A standard data file containing the standard 1 Hz and 20 Hz Ku- and C-band parameters.\\n- An enhanced data file containing the standard 1 Hz and 20 Hz Ku- and C-band parameters along with the waveforms and parameters necessary to reprocess the data.\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-altimetry/overview) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-altimetry).\\n\\nThis Collection contains Level-2 data in NetCDF files from March 2016 to present.\\n\", \"instrument\": \"SRAL\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"altimetry,copernicus,esa,radar,satellite,sentinel,sentinel-3,sentinel-3-sral-lan-l2-netcdf,sentinel-3a,sentinel-3b,sral\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Land Radar Altimetry\", \"missionStartDate\": \"2016-03-01T14:07:51.632846Z\"}, \"sentinel-3-slstr-lst-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SLSTR Level-2 Land Surface Temperature](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-lst) products containing data on land surface temperature measurements on a 1km grid. Radiance is measured in two channels to determine the temperature of the Earth's surface skin in the instrument field of view, where the term \\\"skin\\\" refers to the top surface of bare soil or the effective emitting temperature of vegetation canopies as viewed from above.\\n\\n## Data files\\n\\nThe dataset includes data on the primary measurement variable, land surface temperature, in a single NetCDF file, `LST_in.nc`. A second file, `LST_ancillary.nc`, contains several ancillary variables:\\n\\n- Normalized Difference Vegetation Index\\n- Surface biome classification\\n- Fractional vegetation cover\\n- Total water vapor column\\n\\nIn addition to the primary and ancillary data files, a standard set of annotation data files provide meteorological information, geolocation and time coordinates, geometry information, and quality flags. More information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-lst) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/level-2/lst-processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from April 2016 to present.\\n\\n## STAC Item geometries\\n\\nThe Collection contains small \\\"chips\\\" and long \\\"stripes\\\" of data collected along the satellite direction of travel. Approximately five percent of the STAC Items describing long stripes of data contain geometries that encompass a larger area than an exact concave hull of the data extents. This may require additional filtering when searching the Collection for Items that spatially intersect an area of interest.\\n\", \"instrument\": \"SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,land,satellite,sentinel,sentinel-3,sentinel-3-slstr-lst-l2-netcdf,sentinel-3a,sentinel-3b,slstr,temperature\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Land Surface Temperature\", \"missionStartDate\": \"2016-04-19T01:35:17.188500Z\"}, \"sentinel-3-slstr-wst-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SLSTR Level-2 Water Surface Temperature](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-wst) products containing data on sea surface temperature measurements on a 1km grid. Each product consists of a single NetCDF file containing all data variables:\\n\\n- Sea Surface Temperature (SST) value\\n- SST total uncertainty\\n- Latitude and longitude coordinates\\n- SST time deviation\\n- Single Sensor Error Statistic (SSES) bias and standard deviation estimate\\n- Contextual parameters such as wind speed at 10 m and fractional sea-ice contamination\\n- Quality flag\\n- Satellite zenith angle\\n- Top Of Atmosphere (TOA) Brightness Temperature (BT)\\n- TOA noise equivalent BT\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-wst) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/level-2/sst-processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from October 2017 to present.\\n\", \"instrument\": \"SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,ocean,satellite,sentinel,sentinel-3,sentinel-3-slstr-wst-l2-netcdf,sentinel-3a,sentinel-3b,slstr,temperature\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Sea Surface Temperature\", \"missionStartDate\": \"2017-10-31T23:59:57.451604Z\"}, \"sentinel-3-sral-wat-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SRAL Level-2 Ocean Altimetry](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-altimetry/level-2-algorithms-products) products, which contain data on ocean radar altimetry measurements. Each product contains three NetCDF files:\\n\\n- A reduced data file containing a subset of the 1 Hz Ku-band parameters.\\n- A standard data file containing the standard 1 Hz and 20 Hz Ku- and C-band parameters.\\n- An enhanced data file containing the standard 1 Hz and 20 Hz Ku- and C-band parameters along with the waveforms and parameters necessary to reprocess the data.\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-altimetry/overview) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-altimetry).\\n\\nThis Collection contains Level-2 data in NetCDF files from January 2017 to present.\\n\", \"instrument\": \"SRAL\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"altimetry,copernicus,esa,ocean,radar,satellite,sentinel,sentinel-3,sentinel-3-sral-wat-l2-netcdf,sentinel-3a,sentinel-3b,sral\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Ocean Radar Altimetry\", \"missionStartDate\": \"2017-01-28T00:59:14.149496Z\"}, \"ms-buildings\": {\"abstract\": \"Bing Maps is releasing open building footprints around the world. We have detected over 999 million buildings from Bing Maps imagery between 2014 and 2021 including Maxar and Airbus imagery. The data is freely available for download and use under ODbL. This dataset complements our other releases.\\n\\nFor more information, see the [GlobalMLBuildingFootprints](https://github.com/microsoft/GlobalMLBuildingFootprints/) repository on GitHub.\\n\\n## Building footprint creation\\n\\nThe building extraction is done in two stages:\\n\\n1. Semantic Segmentation \\u2013 Recognizing building pixels on an aerial image using deep neural networks (DNNs)\\n2. Polygonization \\u2013 Converting building pixel detections into polygons\\n\\n**Stage 1: Semantic Segmentation**\\n\\n\\n\\n**Stage 2: Polygonization**\\n\\n\\n\\n## Data assets\\n\\nThe building footprints are provided as a set of [geoparquet](https://github.com/opengeospatial/geoparquet) datasets in [Delta][delta] table format.\\nThe data are partitioned by\\n\\n1. Region\\n2. quadkey at [Bing Map Tiles][tiles] level 9\\n\\nEach `(Region, quadkey)` pair will have one or more geoparquet files, depending on the density of the of the buildings in that area.\\n\\nNote that older items in this dataset are *not* spatially partitioned. We recommend using data with a processing date\\nof 2023-04-25 or newer. This processing date is part of the URL for each parquet file and is captured in the STAC metadata\\nfor each item (see below).\\n\\n## Delta Format\\n\\nThe collection-level asset under the `delta` key gives you the fsspec-style URL\\nto the Delta table. This can be used to efficiently query for matching partitions\\nby `Region` and `quadkey`. See the notebook for an example using Python.\\n\\n## STAC metadata\\n\\nThis STAC collection has one STAC item per region. The `msbuildings:region`\\nproperty can be used to filter items to a specific region, and the `msbuildings:quadkey`\\nproperty can be used to filter items to a specific quadkey (though you can also search\\nby the `geometry`).\\n\\nNote that older STAC items are not spatially partitioned. We recommend filtering on\\nitems with an `msbuildings:processing-date` of `2023-04-25` or newer. See the collection\\nsummary for `msbuildings:processing-date` for a list of valid values.\\n\\n[delta]: https://delta.io/\\n[tiles]: https://learn.microsoft.com/en-us/bingmaps/articles/bing-maps-tile-system\\n\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": null, \"processingLevel\": null, \"keywords\": \"bing-maps,buildings,delta,footprint,geoparquet,microsoft,ms-buildings\", \"license\": \"ODbL-1.0\", \"title\": \"Microsoft Building Footprints\", \"missionStartDate\": \"2014-01-01T00:00:00Z\"}, \"sentinel-3-slstr-frp-l2-netcdf\": {\"abstract\": \"This Collection provides Sentinel-3 [SLSTR Level-2 Fire Radiative Power](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-frp) (FRP) products containing data on fires detected over land and ocean.\\n\\n## Data files\\n\\nThe primary measurement data is contained in the `FRP_in.nc` file and provides FRP and uncertainties, projected onto a 1km grid, for fires detected in the thermal infrared (TIR) spectrum over land. Since February 2022, FRP and uncertainties are also provided for fires detected in the short wave infrared (SWIR) spectrum over both land and ocean, with the delivered data projected onto a 500m grid. The latter SWIR-detected fire data is only available for night-time measurements and is contained in the `FRP_an.nc` or `FRP_bn.nc` files.\\n\\nIn addition to the measurement data files, a standard set of annotation data files provide meteorological information, geolocation and time coordinates, geometry information, and quality flags.\\n\\n## Processing\\n\\nThe TIR fire detection is based on measurements from the S7 and F1 bands of the [SLSTR instrument](https://sentinels.copernicus.eu/web/sentinel/technical-guides/sentinel-3-slstr/instrument); SWIR fire detection is based on the S5 and S6 bands. More information about the product and data processing can be found in the [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-frp) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/level-2/frp-processing).\\n\\nThis Collection contains Level-2 data in NetCDF files from August 2020 to present.\\n\", \"instrument\": \"SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,fire,satellite,sentinel,sentinel-3,sentinel-3-slstr-frp-l2-netcdf,sentinel-3a,sentinel-3b,slstr,temperature\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Fire Radiative Power\", \"missionStartDate\": \"2020-08-08T23:11:15.617203Z\"}, \"sentinel-3-synergy-syn-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 Land Surface Reflectance and Aerosol](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-syn) product, which contains data on Surface Directional Reflectance, Aerosol Optical Thickness, and an Angstrom coefficient estimate over land.\\n\\n## Data Files\\n\\nIndividual NetCDF files for the following variables:\\n\\n- Surface Directional Reflectance (SDR) with their associated error estimates for the sun-reflective [SLSTR](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slstr) channels (S1 to S6 for both nadir and oblique views, except S4) and for all [OLCI](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci) channels, except for the oxygen absorption bands Oa13, Oa14, Oa15, and the water vapor bands Oa19 and Oa20.\\n- Aerosol optical thickness at 550nm with error estimates.\\n- Angstrom coefficient at 550nm.\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-syn) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/level-2/syn-level-2-product).\\n\\nThis Collection contains Level-2 data in NetCDF files from September 2018 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"aerosol,copernicus,esa,land,olci,reflectance,satellite,sentinel,sentinel-3,sentinel-3-synergy-syn-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Land Surface Reflectance and Aerosol\", \"missionStartDate\": \"2018-09-22T16:51:00.001276Z\"}, \"sentinel-3-synergy-vgp-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 Top of Atmosphere Reflectance](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vgp) product, which is a SPOT VEGETATION Continuity Product containing measurement data similar to that obtained by the [VEGETATION instrument](https://docs.terrascope.be/#/Satellites/SPOT-VGT/MissionInstruments) onboad the SPOT-3 and SPOT-4 satellites. The primary variables are four top of atmosphere reflectance bands:\\n\\n- B0 (Blue, 450nm)\\n- B2 (Red, 645nm)\\n- B3 (NIR, 835nm)\\n- MIR (SWIR, 1665nm)\\n\\nThe four reflectance bands have center wavelengths matching those on the original SPOT VEGETATION instrument and have been adapted for scientific applications requiring highly accurate physical measurements through correction for systematic errors and re-sampling to predefined geographic projections. The pixel brightness count is the ground area's apparent reflectance as seen at the top of atmosphere.\\n\\n## Data files\\n\\nNetCDF files are provided for the four reflectance bands. Additional metadata are delivered in annotation NetCDF files, each containing a single variable, including the geometric viewing and illumination conditions, the total water vapour and ozone columns, and the aerosol optical depth.\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vgp) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/level-2/vgt-p-product).\\n\\nThis Collection contains Level-2 data in NetCDF files from October 2018 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,olci,reflectance,satellite,sentinel,sentinel-3,sentinel-3-synergy-vgp-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 Top of Atmosphere Reflectance (SPOT VEGETATION)\", \"missionStartDate\": \"2018-10-08T08:09:40.491227Z\"}, \"sentinel-3-synergy-vg1-l2-netcdf\": {\"abstract\": \"This Collection provides the Sentinel-3 [Synergy Level-2 1-Day Surface Reflectance and NDVI](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vg1-v10) products, which are SPOT VEGETATION Continuity Products similar to those obtained from the [VEGETATION instrument](https://docs.terrascope.be/#/Satellites/SPOT-VGT/MissionInstruments) onboard the SPOT-4 and SPOT-5 satellites. The primary variables are a maximum Normalized Difference Vegetation Index (NDVI) composite, which is derived from daily ground reflecrtance, and four surface reflectance bands:\\n\\n- B0 (Blue, 450nm)\\n- B2 (Red, 645nm)\\n- B3 (NIR, 835nm)\\n- MIR (SWIR, 1665nm)\\n\\nThe four reflectance bands have center wavelengths matching those on the original SPOT VEGETATION instrument. The NDVI variable, which is an indicator of the amount of vegetation, is derived from the B3 and B2 bands.\\n\\n## Data files\\n\\nThe four reflectance bands and NDVI values are each contained in dedicated NetCDF files. Additional metadata are delivered in annotation NetCDF files, each containing a single variable, including the geometric viewing and illumination conditions, the total water vapour and ozone columns, and the aerosol optical depth.\\n\\nEach 1-day product is delivered as a set of 10 rectangular scenes:\\n\\n- AFRICA\\n- NORTH_AMERICA\\n- SOUTH_AMERICA\\n- CENTRAL_AMERICA\\n- NORTH_ASIA\\n- WEST_ASIA\\n- SOUTH_EAST_ASIA\\n- ASIAN_ISLANDS\\n- AUSTRALASIA\\n- EUROPE\\n\\nMore information about the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vg1-v10) and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/vgt-s/vg1-product-surface-reflectance).\\n\\nThis Collection contains Level-2 data in NetCDF files from October 2018 to present.\\n\", \"instrument\": \"OLCI,SLSTR\", \"platform\": \"Sentinel-3\", \"platformSerialIdentifier\": \"Sentinel-3A,Sentinel-3B\", \"processingLevel\": null, \"keywords\": \"copernicus,esa,ndvi,olci,reflectance,satellite,sentinel,sentinel-3,sentinel-3-synergy-vg1-l2-netcdf,sentinel-3a,sentinel-3b,slstr\", \"license\": \"proprietary\", \"title\": \"Sentinel-3 1-Day Surface Reflectance and NDVI (SPOT VEGETATION)\", \"missionStartDate\": \"2018-10-04T23:17:21Z\"}, \"esa-worldcover\": {\"abstract\": \"The European Space Agency (ESA) [WorldCover](https://esa-worldcover.org/en) product provides global land cover maps for the years 2020 and 2021 at 10 meter resolution based on the combination of [Sentinel-1](https://sentinel.esa.int/web/sentinel/missions/sentinel-1) radar data and [Sentinel-2](https://sentinel.esa.int/web/sentinel/missions/sentinel-2) imagery. The discrete classification maps provide 11 classes defined using the Land Cover Classification System (LCCS) developed by the United Nations (UN) Food and Agriculture Organization (FAO). The map images are stored in [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\\n\\nThe WorldCover product is developed by a consortium of European service providers and research organizations. [VITO](https://remotesensing.vito.be/) (Belgium) is the prime contractor of the WorldCover consortium together with [Brockmann Consult](https://www.brockmann-consult.de/) (Germany), [CS SI](https://www.c-s.fr/) (France), [Gamma Remote Sensing AG](https://www.gamma-rs.ch/) (Switzerland), [International Institute for Applied Systems Analysis](https://www.iiasa.ac.at/) (Austria), and [Wageningen University](https://www.wur.nl/nl/Wageningen-University.htm) (The Netherlands).\\n\\nTwo versions of the WorldCover product are available:\\n\\n- WorldCover 2020 produced using v100 of the algorithm\\n - [WorldCover 2020 v100 User Manual](https://esa-worldcover.s3.eu-central-1.amazonaws.com/v100/2020/docs/WorldCover_PUM_V1.0.pdf)\\n - [WorldCover 2020 v100 Validation Report](<https://esa-worldcover.s3.eu-central-1.amazonaws.com/v100/2020/docs/WorldCover_PVR_V1.1.pdf>)\\n\\n- WorldCover 2021 produced using v200 of the algorithm\\n - [WorldCover 2021 v200 User Manual](<https://esa-worldcover.s3.eu-central-1.amazonaws.com/v200/2021/docs/WorldCover_PUM_V2.0.pdf>)\\n - [WorldCover 2021 v200 Validaton Report](<https://esa-worldcover.s3.eu-central-1.amazonaws.com/v200/2021/docs/WorldCover_PVR_V2.0.pdf>)\\n\\nSince the WorldCover maps for 2020 and 2021 were generated with different algorithm versions (v100 and v200, respectively), changes between the maps include both changes in real land cover and changes due to the used algorithms.\\n\", \"instrument\": \"c-sar,msi\", \"platform\": null, \"platformSerialIdentifier\": \"sentinel-1a,sentinel-1b,sentinel-2a,sentinel-2b\", \"processingLevel\": null, \"keywords\": \"c-sar,esa,esa-worldcover,global,land-cover,msi,sentinel,sentinel-1a,sentinel-1b,sentinel-2a,sentinel-2b\", \"license\": \"CC-BY-4.0\", \"title\": \"ESA WorldCover\", \"missionStartDate\": \"2020-01-01T00:00:00Z\"}}}, \"usgs_satapi_aws\": {\"providers_config\": {\"landsat-c2l2-sr\": {\"productType\": \"landsat-c2l2-sr\"}, \"landsat-c2l2-st\": {\"productType\": \"landsat-c2l2-st\"}, \"landsat-c2ard-st\": {\"productType\": \"landsat-c2ard-st\"}, \"landsat-c2l2alb-bt\": {\"productType\": \"landsat-c2l2alb-bt\"}, \"landsat-c2l3-fsca\": {\"productType\": \"landsat-c2l3-fsca\"}, \"landsat-c2ard-bt\": {\"productType\": \"landsat-c2ard-bt\"}, \"landsat-c2l1\": {\"productType\": \"landsat-c2l1\"}, \"landsat-c2l3-ba\": {\"productType\": \"landsat-c2l3-ba\"}, \"landsat-c2l2alb-st\": {\"productType\": \"landsat-c2l2alb-st\"}, \"landsat-c2ard-sr\": {\"productType\": \"landsat-c2ard-sr\"}, \"landsat-c2l2alb-sr\": {\"productType\": \"landsat-c2l2alb-sr\"}, \"landsat-c2l2alb-ta\": {\"productType\": \"landsat-c2l2alb-ta\"}, \"landsat-c2l3-dswe\": {\"productType\": \"landsat-c2l3-dswe\"}, \"landsat-c2ard-ta\": {\"productType\": \"landsat-c2ard-ta\"}}, \"product_types_config\": {\"landsat-c2l2-sr\": {\"abstract\": \"The Landsat Surface Reflectance (SR) product measures the fraction of incoming solar radiation that is reflected from Earth's surface to the Landsat sensor.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2-sr,surface-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 UTM Surface Reflectance (SR) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2-st\": {\"abstract\": \"The Landsat Surface Temperature (ST) product represents the temperature of the Earth's surface in Kelvin (K).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2-st,surface-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 UTM Surface Temperature (ST) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2ard-st\": {\"abstract\": \"The Landsat Surface Temperature (ST) product represents the temperature of the Earth's surface in Kelvin (K).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2ard-st,surface-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Analysis Ready Data (ARD) Level-2 UTM Surface Temperature (ST) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2alb-bt\": {\"abstract\": \"The Landsat Top of Atmosphere Brightness Temperature (BT) product is a top of atmosphere product with radiance calculated 'at-sensor', not atmospherically corrected, and expressed in units of Kelvin.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2alb-bt,top-of-atmosphere-brightness-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 Albers Top of Atmosphere Brightness Temperature (BT) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l3-fsca\": {\"abstract\": \"The Landsat Fractional Snow Covered Area (fSCA) product contains an acquisition-based per-pixel snow cover fraction, an acquisition-based revised cloud mask for quality assessment, and a product metadata file.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,fractional-snow-covered-area,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l3-fsca\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-3 Fractional Snow Covered Area (fSCA) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2ard-bt\": {\"abstract\": \"The Landsat Top of Atmosphere Brightness Temperature (BT) product is a top of atmosphere product with radiance calculated 'at-sensor', not atmospherically corrected, and expressed in units of Kelvin.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2ard-bt,top-of-atmosphere-brightness-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Analysis Ready Data (ARD) Level-2 UTM Top of Atmosphere Brightness Temperature (BT) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l1\": {\"abstract\": \"The Landsat Level-1 product is a top of atmosphere product distributed as scaled and calibrated digital numbers.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_1,LANDSAT_2,LANDSAT_3,LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-1,landsat-2,landsat-3,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l1\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-1 Product\", \"missionStartDate\": \"1972-07-25T00:00:00.000Z\"}, \"landsat-c2l3-ba\": {\"abstract\": \"The Landsat Burned Area (BA) contains two acquisition-based raster data products that represent burn classification and burn probability.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,burned-area,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l3-ba\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-3 Burned Area (BA) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2alb-st\": {\"abstract\": \"The Landsat Surface Temperature (ST) product represents the temperature of the Earth's surface in Kelvin (K).\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2alb-st,surface-temperature\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 Albers Surface Temperature (ST) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2ard-sr\": {\"abstract\": \"The Landsat Surface Reflectance (SR) product measures the fraction of incoming solar radiation that is reflected from Earth's surface to the Landsat sensor.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2ard-sr,surface-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Analysis Ready Data (ARD) Level-2 UTM Surface Reflectance (SR) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2alb-sr\": {\"abstract\": \"The Landsat Surface Reflectance (SR) product measures the fraction of incoming solar radiation that is reflected from Earth's surface to the Landsat sensor.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2alb-sr,surface-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 Albers Surface Reflectance (SR) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l2alb-ta\": {\"abstract\": \"The Landsat Top of Atmosphere (TA) Reflectance product applies per pixel angle band corrections to the Level-1 radiance product.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l2alb-ta,top-of-atmosphere-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-2 Albers Top of Atmosphere (TA) Reflectance Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2l3-dswe\": {\"abstract\": \"The Landsat Dynamic Surface Water Extent (DSWE) product contains six acquisition-based raster data products pertaining to the existence and condition of surface water.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,dynamic-surface-water-extent-,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2l3-dswe\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Level-3 Dynamic Surface Water Extent (DSWE) Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}, \"landsat-c2ard-ta\": {\"abstract\": \"The Landsat Top of Atmosphere (TA) Reflectance product applies per pixel angle band corrections to the Level-1 radiance product.\", \"instrument\": null, \"platform\": null, \"platformSerialIdentifier\": \"LANDSAT_4,LANDSAT_5,LANDSAT_7,LANDSAT_8,LANDSAT_9\", \"processingLevel\": null, \"keywords\": \"analysis-ready-data,landsat,landsat-4,landsat-5,landsat-7,landsat-8,landsat-9,landsat-c2ard-ta,top-of-atmosphere-reflectance\", \"license\": \"https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/Landsat_Data_Policy.pdf\", \"title\": \"Landsat Collection 2 Analysis Ready Data (ARD) Level-2 UTM Top of Atmosphere (TA) Reflectance Product\", \"missionStartDate\": \"1982-08-22T00:00:00.000Z\"}}}}\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 437d11b0..74648ba1 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1032,7 +1032,7 @@\n auth: !plugin\n type: KeycloakOIDCPasswordAuth\n auth_base_uri: 'https://identity.cloudferro.com/auth'\n- realm: 'dias'\n+ realm: 'Creodias-new'\n client_id: 'CLOUDFERRO_PUBLIC'\n client_secret: 'dc0aca03-2dc6-4798-a5de-fc5aeb6c8ee1'\n token_provision: qs\ndiff --git a/eodag/resources/user_conf_template.yml b/eodag/resources/user_conf_template.yml\nindex 6d7dfcc4..ef6920fe 100644\n--- a/eodag/resources/user_conf_template.yml\n+++ b/eodag/resources/user_conf_template.yml\n@@ -69,6 +69,7 @@ creodias:\n credentials:\n username:\n password:\n+ totp: # set totp dynamically, see https://eodag.readthedocs.io/en/latest/getting_started_guide/configure.html#authenticate-using-an-otp-one-time-password-two-factor-authentication\n mundi:\n priority: # Lower value means lower priority (Default: 0)\n search: # Search parameters configuration\n"},"problem_statement":{"kind":"string","value":"better document how to guess a product type\nsee https://github.com/CS-SI/eodag/issues/242#issuecomment-877068032\r\n- [x] Add more examples showing how to guess the product type in https://eodag.readthedocs.io/en/latest/notebooks/api_user_guide/4_search.html#Guess-a-product-type\r\n- [x] Link the `guess_product_type()` method in the API reference documentation\r\n- [x] Document [whoosh query language](https://github.com/whoosh-community/whoosh/blob/master/docs/source/querylang.rst) available through `guess_product_type()` method (operators, wildcard)\r\n- [x] Show an example on how to guess the product type while performing a CLI search, for example:\r\n```py\r\neodag search --platform SENTINEL2 --processingLevel L1 --box 1 43 2 44 --start 2021-03-01 --end 2021-03-31\r\n```"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py\nindex d86f2cd2..2793adb1 100644\n--- a/tests/test_end_to_end.py\n+++ b/tests/test_end_to_end.py\n@@ -423,6 +423,9 @@ class TestEODagEndToEnd(EndToEndBase):\n \n def test_end_to_end_search_download_creodias(self):\n product = self.execute_search(*CREODIAS_SEARCH_ARGS)\n+ self.eodag.providers_config[\"creodias\"].auth.credentials[\n+ \"totp\"\n+ ] = \"PLEASE_CHANGE_ME\"\n expected_filename = \"{}.zip\".format(product.properties[\"title\"])\n self.execute_download(product, expected_filename)\n \ndiff --git a/tests/units/test_auth_plugins.py b/tests/units/test_auth_plugins.py\nindex f064f056..93c8d71d 100644\n--- a/tests/units/test_auth_plugins.py\n+++ b/tests/units/test_auth_plugins.py\n@@ -19,6 +19,7 @@\n import unittest\n from unittest import mock\n \n+import responses\n from requests import Request\n from requests.auth import AuthBase\n from requests.exceptions import RequestException\n@@ -391,3 +392,183 @@ class TestAuthPluginSASAuth(BaseAuthPluginTest):\n req = mock.Mock(headers={}, url=\"url\")\n with self.assertRaises(AuthenticationError):\n auth(req)\n+\n+\n+class TestAuthPluginKeycloakOIDCPasswordAuth(BaseAuthPluginTest):\n+ @classmethod\n+ def setUpClass(cls):\n+ super(TestAuthPluginKeycloakOIDCPasswordAuth, cls).setUpClass()\n+ override_config_from_mapping(\n+ cls.providers_config,\n+ {\n+ \"foo_provider\": {\n+ \"products\": {},\n+ \"auth\": {\n+ \"type\": \"KeycloakOIDCPasswordAuth\",\n+ \"auth_base_uri\": \"http://foo.bar\",\n+ \"client_id\": \"baz\",\n+ \"realm\": \"qux\",\n+ \"client_secret\": \"1234\",\n+ \"token_provision\": \"qs\",\n+ \"token_qs_key\": \"totoken\",\n+ },\n+ },\n+ },\n+ )\n+ cls.plugins_manager = PluginManager(cls.providers_config)\n+\n+ def test_plugins_auth_keycloak_validate_credentials(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.validate_credentials must raise exception if not well configured\"\"\"\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+\n+ # credentials missing\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ # no error\n+ auth_plugin.validate_config_credentials()\n+\n+ # auth_base_uri missing\n+ auth_base_uri = auth_plugin.config.__dict__.pop(\"auth_base_uri\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.auth_base_uri = auth_base_uri\n+ # client_id missing\n+ client_id = auth_plugin.config.__dict__.pop(\"client_id\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.client_id = client_id\n+ # client_secret missing\n+ client_secret = auth_plugin.config.__dict__.pop(\"client_secret\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.client_secret = client_secret\n+ # token_provision missing\n+ token_provision = auth_plugin.config.__dict__.pop(\"token_provision\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.token_provision = token_provision\n+\n+ # no error\n+ auth_plugin.validate_config_credentials()\n+\n+ def test_plugins_auth_keycloak_authenticate(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.authenticate must query and store the token as expected\"\"\"\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ req_kwargs = {\n+ \"client_id\": \"baz\",\n+ \"client_secret\": \"1234\",\n+ \"grant_type\": \"password\",\n+ \"username\": \"john\",\n+ }\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=200,\n+ json={\"access_token\": \"obtained-token\"},\n+ match=[responses.matchers.urlencoded_params_matcher(req_kwargs)],\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+ self.assertEqual(auth.key, \"totoken\")\n+ self.assertEqual(auth.token, \"obtained-token\")\n+ self.assertEqual(auth.where, \"qs\")\n+\n+ # check that token has been stored\n+ self.assertEqual(auth_plugin.retrieved_token, \"obtained-token\")\n+\n+ # check that stored token is used if new auth request fails\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ req_kwargs = {\n+ \"client_id\": \"baz\",\n+ \"client_secret\": \"1234\",\n+ \"grant_type\": \"password\",\n+ \"username\": \"john\",\n+ }\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=401,\n+ json={\"error\": \"not allowed\"},\n+ match=[responses.matchers.urlencoded_params_matcher(req_kwargs)],\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+ self.assertEqual(auth.key, \"totoken\")\n+ self.assertEqual(auth.token, \"obtained-token\")\n+ self.assertEqual(auth.where, \"qs\")\n+\n+ def test_plugins_auth_keycloak_authenticate_qs(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.authenticate must return a AuthBase object that will inject the token in a query-string\"\"\" # noqa\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=200,\n+ json={\"access_token\": \"obtained-token\"},\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+\n+ # check if query string is integrated to the request\n+ req = Request(\"GET\", \"https://httpbin.org/get\").prepare()\n+ auth(req)\n+ self.assertEqual(req.url, \"https://httpbin.org/get?totoken=obtained-token\")\n+\n+ another_req = Request(\"GET\", \"https://httpbin.org/get?baz=qux\").prepare()\n+ auth(another_req)\n+ self.assertEqual(\n+ another_req.url,\n+ \"https://httpbin.org/get?baz=qux&totoken=obtained-token\",\n+ )\n+\n+ def test_plugins_auth_keycloak_authenticate_header(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.authenticate must return a AuthBase object that will inject the token in the header\"\"\" # noqa\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ # backup token_provision and change it to header mode\n+ token_provision_qs = auth_plugin.config.token_provision\n+ auth_plugin.config.token_provision = \"header\"\n+\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=200,\n+ json={\"access_token\": \"obtained-token\"},\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+\n+ # check if token header is integrated to the request\n+ req = Request(\"GET\", \"https://httpbin.org/get\").prepare()\n+ auth(req)\n+ self.assertEqual(req.url, \"https://httpbin.org/get\")\n+ self.assertEqual(req.headers, {\"Authorization\": \"Bearer obtained-token\"})\n+\n+ another_req = Request(\n+ \"GET\", \"https://httpbin.org/get\", headers={\"existing-header\": \"value\"}\n+ ).prepare()\n+ auth(another_req)\n+ self.assertEqual(\n+ another_req.headers,\n+ {\"Authorization\": \"Bearer obtained-token\", \"existing-header\": \"value\"},\n+ )\n+\n+ auth_plugin.config.token_provision = token_provision_qs\ndiff --git a/tests/units/test_download_plugins.py b/tests/units/test_download_plugins.py\nindex 0755ad55..6a94fa5d 100644\n--- a/tests/units/test_download_plugins.py\n+++ b/tests/units/test_download_plugins.py\n@@ -16,6 +16,7 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n import os\n+import shutil\n import stat\n import unittest\n from pathlib import Path\n@@ -171,6 +172,71 @@ class TestDownloadPluginHttp(BaseDownloadPluginTest):\n timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n )\n \n+ @mock.patch(\"eodag.plugins.download.http.requests.request\", autospec=True)\n+ @mock.patch(\"eodag.plugins.download.http.requests.head\", autospec=True)\n+ @mock.patch(\"eodag.plugins.download.http.requests.get\", autospec=True)\n+ def test_plugins_download_http_ignore_assets(\n+ self, mock_requests_get, mock_requests_head, mock_requests_request\n+ ):\n+ \"\"\"HTTPDownload.download() must ignore assets if configured to\"\"\"\n+\n+ plugin = self.get_download_plugin(self.product)\n+ self.product.location = (\n+ self.product.remote_location\n+ ) = \"http://somewhere/dowload_from_location\"\n+ self.product.properties[\"id\"] = \"someproduct\"\n+ self.product.assets = {\"foo\": {\"href\": \"http://somewhere/download_asset\"}}\n+\n+ # download asset if ignore_assets = False\n+ plugin.config.ignore_assets = False\n+ path = plugin.download(self.product, outputs_prefix=self.output_dir)\n+ mock_requests_get.assert_called_once_with(\n+ self.product.assets[\"foo\"][\"href\"],\n+ stream=True,\n+ auth=None,\n+ params=plugin.config.dl_url_params,\n+ headers=USER_AGENT,\n+ timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ )\n+ mock_requests_request.assert_not_called()\n+ # re-enable product download\n+ self.product.location = self.product.remote_location\n+ shutil.rmtree(path)\n+ mock_requests_get.reset_mock()\n+ mock_requests_request.reset_mock()\n+\n+ # download using remote_location if ignore_assets = True\n+ plugin.config.ignore_assets = True\n+ path = plugin.download(self.product, outputs_prefix=self.output_dir)\n+ mock_requests_get.assert_not_called()\n+ mock_requests_request.assert_called_once_with(\n+ \"get\",\n+ self.product.remote_location,\n+ stream=True,\n+ auth=None,\n+ params=plugin.config.dl_url_params,\n+ headers=USER_AGENT,\n+ timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ )\n+ # re-enable product download\n+ self.product.location = self.product.remote_location\n+ os.remove(path)\n+ mock_requests_get.reset_mock()\n+ mock_requests_request.reset_mock()\n+\n+ # download asset if ignore_assets unset\n+ del plugin.config.ignore_assets\n+ plugin.download(self.product, outputs_prefix=self.output_dir)\n+ mock_requests_get.assert_called_once_with(\n+ self.product.assets[\"foo\"][\"href\"],\n+ stream=True,\n+ auth=None,\n+ params=plugin.config.dl_url_params,\n+ headers=USER_AGENT,\n+ timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ )\n+ mock_requests_request.assert_not_called()\n+\n @mock.patch(\"eodag.plugins.download.http.requests.head\", autospec=True)\n @mock.patch(\"eodag.plugins.download.http.requests.get\", autospec=True)\n def test_plugins_download_http_assets_filename_from_href(\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": -1,\n \"issue_text_score\": 1,\n \"test_score\": -1\n },\n \"num_modified_files\": 14\n}"},"version":{"kind":"string","value":"2.10"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-mock\",\n \"pytest-asyncio\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@c38d36ec0be2c490d04060030c10726ecf327972#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nstarlette==0.46.1\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n 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of all tests\") +26s\n 388 tests ±0 386 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") ±0 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") ±0 \n1 552 runs ±0 1 496 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") ±0 56 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit d0107e29. ± Comparison against base commit c38d36ec.\n\n[test-results]:data:application/gzip;base64,H4sIAFLApmQC/03Myw6DIBCF4VcxrLsYLl7oyzR0GBNSlQZhZfruBavU5f9N5mxsdBOt7N6oW8PW5GINm4KJzi85RS8z5FMsRzkMZz3WhLhT96eXe5efCqNxUwaoQCH4cEhIS9nkbSuOOje50l2l32Zb4bK593US/Ty7mINZ4NCT0GQ5igGlQtQ9KbASLAKS6ARZ8wT2+QKJbaxECAEAAA==\n\ngithub-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against d0107e29ed1c28c34cc97e40d30dc0ce262edab0 </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `77%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against d0107e29ed1c28c34cc97e40d30dc0ce262edab0 </p>"},"patch":{"kind":"string","value":"diff --git a/docker/stac-server.dockerfile b/docker/stac-server.dockerfile\nindex 543e1ea8..f7fb4b6c 100644\n--- a/docker/stac-server.dockerfile\n+++ b/docker/stac-server.dockerfile\n@@ -65,7 +65,7 @@ RUN chmod +x /eodag/run-stac-server.sh\n \n # add user\n RUN addgroup --system user \\\n- && adduser --system --group user\n+ && adduser --system --home /home/user --group user\n \n # switch to non-root user\n USER user\ndiff --git a/docs/getting_started_guide/configure.rst b/docs/getting_started_guide/configure.rst\nindex 7c2b22ad..2193594a 100644\n--- a/docs/getting_started_guide/configure.rst\n+++ b/docs/getting_started_guide/configure.rst\n@@ -246,3 +246,62 @@ Or with the CLI:\n -p S2_MSI_L1C \\\n --storage my_search.geojson\n eodag download -f my_config.yml --search-results my_search.geojson\n+\n+Authenticate using an OTP / One Time Password (Two-Factor authentication)\n+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n+\n+Use OTP through Python code\n+\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n+\n+``creodias`` needs a temporary 6-digits code to authenticate in addition of the ``username`` and ``password``. Check\n+`Creodias documentation <https://creodias.docs.cloudferro.com/en/latest/gettingstarted/Two-Factor-Authentication-for-Creodias-Site.html>`_\n+to see how to get this code once you are registered. This OTP code will only be valid for a few seconds, so you will\n+better set it dynamically in your python code instead of storing it statically in your user configuration file.\n+\n+Set the OTP by updating ``creodias`` credentials for ``totp`` entry, using one of the two following configuration update\n+commands:\n+\n+.. code-block:: python\n+\n+ dag.providers_config[\"creodias\"].auth.credentials[\"totp\"] = \"PLEASE_CHANGE_ME\"\n+\n+ # OR\n+\n+ dag.update_providers_config(\n+ \"\"\"\n+ creodias:\n+ auth:\n+ credentials:\n+ totp: PLEASE_CHANGE_ME\n+ \"\"\"\n+ )\n+\n+Then quickly authenticate as this OTP has a few seconds only lifetime. First authentication will retrieve a token that\n+will be stored and used if further authentication tries fail:\n+\n+.. code-block:: python\n+\n+ dag._plugins_manager.get_auth_plugin(\"creodias\").authenticate()\n+\n+Please note that authentication mechanism is already included in\n+`download methods <https://eodag.readthedocs.io/en/stable/notebooks/api_user_guide/7_download.html>`_ , so you could also directly execute a\n+download to retrieve the token while the OTP is still valid.\n+\n+Use OTP through CLI\n+\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n+\n+To download through CLI a product on a provider that needs a One Time Password, e.g. ``creodias``, first search on this\n+provider (increase the provider priotity to make eodag search on it):\n+\n+.. code-block:: console\n+\n+ EODAG__CREODIAS__PRIORITY=2 eodag search -b 1 43 2 44 -s 2018-01-01 -e 2018-01-31 -p S2_MSI_L1C --items 1\n+\n+Then download using the OTP (``creodias`` needs it as ``totp`` parameter):\n+\n+.. code-block:: console\n+\n+ EODAG__CREODIAS__AUTH__CREDENTIALS__TOTP=PLEASE_CHANGE_ME eodag download --search-results search_results.geojson\n+\n+If needed, check in the documentation how to\n+`use environment variables to configure EODAG <#environment-variable-configuration>`_.\ndiff --git a/docs/getting_started_guide/register.rst b/docs/getting_started_guide/register.rst\nindex bea5eecd..c2f7d15a 100644\n--- a/docs/getting_started_guide/register.rst\n+++ b/docs/getting_started_guide/register.rst\n@@ -15,7 +15,12 @@ to each provider supported by ``eodag``:\n \n * ``peps``: create an account `here <https://peps.cnes.fr/rocket/#/register>`__, then use your email as `username` in eodag credentials.\n \n-* ``creodias``: create an account `here <https://portal.creodias.eu/register.php>`__\n+* ``creodias``: create an account `here <https://portal.creodias.eu/register.php>`__, then use your `username`, `password` in eodag credentials. You will also\n+ need `totp` in credentials, a temporary 6-digits OTP (One Time Password, see\n+ `Creodias documentation <https://creodias.docs.cloudferro.com/en/latest/gettingstarted/Two-Factor-Authentication-for-Creodias-Site.html>`__)\n+ to be able to authenticate and download. Check\n+ `Authenticate using an OTP <https://eodag.readthedocs.io/en/latest/getting_started_guide/configure.html#authenticate-using-an-otp-one-time-password-two-factor-authentication>`__\n+ to see how to proceed.\n \n * ``onda``: create an account `here: <https://www.onda-dias.eu/cms/>`__\n \ndiff --git a/eodag/plugins/authentication/keycloak.py b/eodag/plugins/authentication/keycloak.py\nindex 26b4d2e7..9266e721 100644\n--- a/eodag/plugins/authentication/keycloak.py\n+++ b/eodag/plugins/authentication/keycloak.py\n@@ -21,43 +21,101 @@ import requests\n from eodag.plugins.authentication import Authentication\n from eodag.plugins.authentication.openid_connect import CodeAuthorizedAuth\n from eodag.utils import USER_AGENT\n-from eodag.utils.exceptions import AuthenticationError\n+from eodag.utils.exceptions import AuthenticationError, MisconfiguredError\n from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n \n \n class KeycloakOIDCPasswordAuth(Authentication):\n- \"\"\"Authentication plugin using Keycloak and OpenId Connect\"\"\"\n+ \"\"\"Authentication plugin using Keycloak and OpenId Connect.\n+\n+ This plugin request a token and use it through a query-string or a header.\n+\n+ Using :class:`~eodag.plugins.download.http.HTTPDownload` a download link\n+ `http://example.com?foo=bar` will become\n+ `http://example.com?foo=bar&my-token=obtained-token` if associated to the following\n+ configuration::\n+\n+ provider:\n+ ...\n+ auth:\n+ plugin: KeycloakOIDCPasswordAuth\n+ auth_base_uri: 'https://somewhere/auth'\n+ realm: 'the-realm'\n+ client_id: 'SOME_ID'\n+ client_secret: '01234-56789'\n+ token_provision: qs\n+ token_qs_key: 'my-token'\n+ ...\n+ ...\n+\n+ If configured to send the token through the header, the download request header will\n+ be updated with `Authorization: \"Bearer obtained-token\"` if associated to the\n+ following configuration::\n+\n+ provider:\n+ ...\n+ auth:\n+ plugin: KeycloakOIDCPasswordAuth\n+ auth_base_uri: 'https://somewhere/auth'\n+ realm: 'the-realm'\n+ client_id: 'SOME_ID'\n+ client_secret: '01234-56789'\n+ token_provision: header\n+ ...\n+ ...\n+ \"\"\"\n \n GRANT_TYPE = \"password\"\n TOKEN_URL_TEMPLATE = \"{auth_base_uri}/realms/{realm}/protocol/openid-connect/token\"\n+ REQUIRED_PARAMS = [\"auth_base_uri\", \"client_id\", \"client_secret\", \"token_provision\"]\n+ # already retrieved token store, to be used if authenticate() fails (OTP use-case)\n+ retrieved_token = None\n \n def __init__(self, provider, config):\n super(KeycloakOIDCPasswordAuth, self).__init__(provider, config)\n self.session = requests.Session()\n \n+ def validate_config_credentials(self):\n+ \"\"\"Validate configured credentials\"\"\"\n+ super(KeycloakOIDCPasswordAuth, self).validate_config_credentials()\n+\n+ for param in self.REQUIRED_PARAMS:\n+ if not hasattr(self.config, param):\n+ raise MisconfiguredError(\n+ \"The following authentication configuration is missing for provider \",\n+ f\"{self.provider}: {param}\",\n+ )\n+\n def authenticate(self):\n \"\"\"\n Makes authentication request\n \"\"\"\n self.validate_config_credentials()\n+ req_data = {\n+ \"client_id\": self.config.client_id,\n+ \"client_secret\": self.config.client_secret,\n+ \"grant_type\": self.GRANT_TYPE,\n+ }\n+ credentials = {k: v for k, v in self.config.credentials.items()}\n try:\n response = self.session.post(\n self.TOKEN_URL_TEMPLATE.format(\n auth_base_uri=self.config.auth_base_uri.rstrip(\"/\"),\n realm=self.config.realm,\n ),\n- data={\n- \"client_id\": self.config.client_id,\n- \"client_secret\": self.config.client_secret,\n- \"username\": self.config.credentials[\"username\"],\n- \"password\": self.config.credentials[\"password\"],\n- \"grant_type\": self.GRANT_TYPE,\n- },\n+ data=dict(req_data, **credentials),\n headers=USER_AGENT,\n timeout=HTTP_REQ_TIMEOUT,\n )\n response.raise_for_status()\n except requests.RequestException as e:\n+ if self.retrieved_token:\n+ # try using already retrieved token if authenticate() fails (OTP use-case)\n+ return CodeAuthorizedAuth(\n+ self.retrieved_token,\n+ self.config.token_provision,\n+ key=getattr(self.config, \"token_qs_key\", None),\n+ )\n # check if error is identified as auth_error in provider conf\n auth_errors = getattr(self.config, \"auth_error_code\", [None])\n if not isinstance(auth_errors, list):\n@@ -79,8 +137,10 @@ class KeycloakOIDCPasswordAuth(Authentication):\n tb.format_exc()\n )\n )\n+\n+ self.retrieved_token = response.json()[\"access_token\"]\n return CodeAuthorizedAuth(\n- response.json()[\"access_token\"],\n+ self.retrieved_token,\n self.config.token_provision,\n key=getattr(self.config, \"token_qs_key\", None),\n )\ndiff --git a/eodag/plugins/authentication/openid_connect.py b/eodag/plugins/authentication/openid_connect.py\nindex 5531a1fd..b535ad66 100644\n--- a/eodag/plugins/authentication/openid_connect.py\n+++ b/eodag/plugins/authentication/openid_connect.py\n@@ -25,14 +25,7 @@ from lxml import etree\n from requests.auth import AuthBase\n \n from eodag.plugins.authentication import Authentication\n-from eodag.utils import (\n- USER_AGENT,\n- parse_qs,\n- repeatfunc,\n- urlencode,\n- urlparse,\n- urlunparse,\n-)\n+from eodag.utils import USER_AGENT, parse_qs, repeatfunc, urlparse\n from eodag.utils.exceptions import AuthenticationError, MisconfiguredError\n from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n \n@@ -306,18 +299,12 @@ class CodeAuthorizedAuth(AuthBase):\n \"\"\"Perform the actual authentication\"\"\"\n if self.where == \"qs\":\n parts = urlparse(request.url)\n- qs = parse_qs(parts.query)\n- qs[self.key] = self.token\n- request.url = urlunparse(\n- (\n- parts.scheme,\n- parts.netloc,\n- parts.path,\n- parts.params,\n- urlencode(qs),\n- parts.fragment,\n- )\n- )\n+ query_dict = parse_qs(parts.query)\n+ query_dict.update({self.key: self.token})\n+ url_without_args = parts._replace(query=None).geturl()\n+\n+ request.prepare_url(url_without_args, query_dict)\n+\n elif self.where == \"header\":\n request.headers[\"Authorization\"] = \"Bearer {}\".format(self.token)\n return request\ndiff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py\nindex 3e440a02..4f53085f 100644\n--- a/eodag/plugins/download/aws.py\n+++ b/eodag/plugins/download/aws.py\n@@ -169,16 +169,15 @@ class AwsDownload(Download):\n \n :param provider: provider name\n :type provider: str\n- :param config: Download plugin configuration\n- config.requester_pays:\n-\n :param config: Download plugin configuration:\n \n- * ``config.base_uri`` (str) - s3 endpoint url\n- * ``config.requester_pays`` (bool) - whether download is done from\n- a requester-pays bucket or not\n- * ``config.flatten_top_dirs`` (bool) - flatten directory structure\n- * ``config.products`` (dict) - product_type specific configuration\n+ * ``config.base_uri`` (str) - s3 endpoint url\n+ * ``config.requester_pays`` (bool) - (optional) whether download is done from a\n+ requester-pays bucket or not\n+ * ``config.flatten_top_dirs`` (bool) - (optional) flatten directory structure\n+ * ``config.products`` (dict) - (optional) product_type specific configuration\n+ * ``config.ignore_assets`` (bool) - (optional) ignore assets and download using downloadLink\n+\n :type config: :class:`~eodag.config.PluginConfig`\n \"\"\"\n \ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 4a5a20ab..716e2176 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -61,7 +61,30 @@ logger = logging.getLogger(\"eodag.plugins.download.http\")\n \n \n class HTTPDownload(Download):\n- \"\"\"HTTPDownload plugin. Handles product download over HTTP protocol\"\"\"\n+ \"\"\"HTTPDownload plugin. Handles product download over HTTP protocol\n+\n+ :param provider: provider name\n+ :type provider: str\n+ :param config: Download plugin configuration:\n+\n+ * ``config.base_uri`` (str) - default endpoint url\n+ * ``config.extract`` (bool) - (optional) extract downloaded archive or not\n+ * ``config.auth_error_code`` (int) - (optional) authentication error code\n+ * ``config.dl_url_params`` (dict) - (optional) attitional parameters to send in the request\n+ * ``config.archive_depth`` (int) - (optional) level in extracted path tree where to find data\n+ * ``config.flatten_top_dirs`` (bool) - (optional) flatten directory structure\n+ * ``config.ignore_assets`` (bool) - (optional) ignore assets and download using downloadLink\n+ * ``config.order_enabled`` (bool) - (optional) wether order is enabled or not if product is `OFFLINE`\n+ * ``config.order_method`` (str) - (optional) HTTP request method, GET (default) or POST\n+ * ``config.order_headers`` (dict) - (optional) order request headers\n+ * ``config.order_on_response`` (dict) - (optional) edit or add new product properties\n+ * ``config.order_status_method`` (str) - (optional) status HTTP request method, GET (default) or POST\n+ * ``config.order_status_percent`` (str) - (optional) progress percentage key in obtained status response\n+ * ``config.order_status_error`` (dict) - (optional) key/value identifying an error status\n+\n+ :type config: :class:`~eodag.config.PluginConfig`\n+\n+ \"\"\"\n \n def __init__(self, provider, config):\n super(HTTPDownload, self).__init__(provider, config)\n@@ -341,19 +364,22 @@ class HTTPDownload(Download):\n return fs_path\n \n # download assets if exist instead of remote_location\n- try:\n- fs_path = self._download_assets(\n- product,\n- fs_path.replace(\".zip\", \"\"),\n- record_filename,\n- auth,\n- progress_callback,\n- **kwargs,\n- )\n- product.location = path_to_uri(fs_path)\n- return fs_path\n- except NotAvailableError:\n- pass\n+ if hasattr(product, \"assets\") and not getattr(\n+ self.config, \"ignore_assets\", False\n+ ):\n+ try:\n+ fs_path = self._download_assets(\n+ product,\n+ fs_path.replace(\".zip\", \"\"),\n+ record_filename,\n+ auth,\n+ progress_callback,\n+ **kwargs,\n+ )\n+ product.location = path_to_uri(fs_path)\n+ return fs_path\n+ except NotAvailableError:\n+ pass\n \n # order product if it is offline\n ordered_message = \"\"\ndiff --git a/eodag/plugins/download/s3rest.py b/eodag/plugins/download/s3rest.py\nindex cdbe470c..2602df4c 100644\n--- a/eodag/plugins/download/s3rest.py\n+++ b/eodag/plugins/download/s3rest.py\n@@ -59,6 +59,25 @@ class S3RestDownload(Download):\n https://mundiwebservices.com/keystoneapi/uploads/documents/CWS-DATA-MUT-087-EN-Mundi_Download_v1.1.pdf#page=13\n \n Re-use AwsDownload bucket some handling methods\n+\n+ :param provider: provider name\n+ :type provider: str\n+ :param config: Download plugin configuration:\n+\n+ * ``config.base_uri`` (str) - default endpoint url\n+ * ``config.extract`` (bool) - (optional) extract downloaded archive or not\n+ * ``config.auth_error_code`` (int) - (optional) authentication error code\n+ * ``config.bucket_path_level`` (int) - (optional) bucket location index in path.split('/')\n+ * ``config.order_enabled`` (bool) - (optional) wether order is enabled or not if product is `OFFLINE`\n+ * ``config.order_method`` (str) - (optional) HTTP request method, GET (default) or POST\n+ * ``config.order_headers`` (dict) - (optional) order request headers\n+ * ``config.order_on_response`` (dict) - (optional) edit or add new product properties\n+ * ``config.order_status_method`` (str) - (optional) status HTTP request method, GET (default) or POST\n+ * ``config.order_status_percent`` (str) - (optional) progress percentage key in obtained status response\n+ * ``config.order_status_success`` (dict) - (optional) key/value identifying an error success\n+ * ``config.order_status_on_success`` (dict) - (optional) edit or add new product properties\n+\n+ :type config: :class:`~eodag.config.PluginConfig`\n \"\"\"\n \n def __init__(self, provider, config):\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 437d11b0..74648ba1 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1032,7 +1032,7 @@\n auth: !plugin\n type: KeycloakOIDCPasswordAuth\n auth_base_uri: 'https://identity.cloudferro.com/auth'\n- realm: 'dias'\n+ realm: 'Creodias-new'\n client_id: 'CLOUDFERRO_PUBLIC'\n client_secret: 'dc0aca03-2dc6-4798-a5de-fc5aeb6c8ee1'\n token_provision: qs\ndiff --git a/eodag/resources/user_conf_template.yml b/eodag/resources/user_conf_template.yml\nindex 6d7dfcc4..ef6920fe 100644\n--- a/eodag/resources/user_conf_template.yml\n+++ b/eodag/resources/user_conf_template.yml\n@@ -69,6 +69,7 @@ creodias:\n credentials:\n username:\n password:\n+ totp: # set totp dynamically, see https://eodag.readthedocs.io/en/latest/getting_started_guide/configure.html#authenticate-using-an-otp-one-time-password-two-factor-authentication\n mundi:\n priority: # Lower value means lower priority (Default: 0)\n search: # Search parameters configuration\n"},"problem_statement":{"kind":"string","value":"downloadLink usage for STAC providers\nImplement a way to use `downloadLink` if specified, to dowload a product coming from a STAC provider\r\n\r\n- [ ] remove or set `downloadLink` to `None` by default on STAC providers\r\n- [ ] if `downloadLink` exists, first try using it before downloading all assets\r\n\r\n`ignore_assets` can also be used as it is done in `AwsDownload`"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py\nindex d86f2cd2..2793adb1 100644\n--- a/tests/test_end_to_end.py\n+++ b/tests/test_end_to_end.py\n@@ -423,6 +423,9 @@ class TestEODagEndToEnd(EndToEndBase):\n \n def test_end_to_end_search_download_creodias(self):\n product = self.execute_search(*CREODIAS_SEARCH_ARGS)\n+ self.eodag.providers_config[\"creodias\"].auth.credentials[\n+ \"totp\"\n+ ] = \"PLEASE_CHANGE_ME\"\n expected_filename = \"{}.zip\".format(product.properties[\"title\"])\n self.execute_download(product, expected_filename)\n \ndiff --git a/tests/units/test_auth_plugins.py b/tests/units/test_auth_plugins.py\nindex f064f056..93c8d71d 100644\n--- a/tests/units/test_auth_plugins.py\n+++ b/tests/units/test_auth_plugins.py\n@@ -19,6 +19,7 @@\n import unittest\n from unittest import mock\n \n+import responses\n from requests import Request\n from requests.auth import AuthBase\n from requests.exceptions import RequestException\n@@ -391,3 +392,183 @@ class TestAuthPluginSASAuth(BaseAuthPluginTest):\n req = mock.Mock(headers={}, url=\"url\")\n with self.assertRaises(AuthenticationError):\n auth(req)\n+\n+\n+class TestAuthPluginKeycloakOIDCPasswordAuth(BaseAuthPluginTest):\n+ @classmethod\n+ def setUpClass(cls):\n+ super(TestAuthPluginKeycloakOIDCPasswordAuth, cls).setUpClass()\n+ override_config_from_mapping(\n+ cls.providers_config,\n+ {\n+ \"foo_provider\": {\n+ \"products\": {},\n+ \"auth\": {\n+ \"type\": \"KeycloakOIDCPasswordAuth\",\n+ \"auth_base_uri\": \"http://foo.bar\",\n+ \"client_id\": \"baz\",\n+ \"realm\": \"qux\",\n+ \"client_secret\": \"1234\",\n+ \"token_provision\": \"qs\",\n+ \"token_qs_key\": \"totoken\",\n+ },\n+ },\n+ },\n+ )\n+ cls.plugins_manager = PluginManager(cls.providers_config)\n+\n+ def test_plugins_auth_keycloak_validate_credentials(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.validate_credentials must raise exception if not well configured\"\"\"\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+\n+ # credentials missing\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ # no error\n+ auth_plugin.validate_config_credentials()\n+\n+ # auth_base_uri missing\n+ auth_base_uri = auth_plugin.config.__dict__.pop(\"auth_base_uri\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.auth_base_uri = auth_base_uri\n+ # client_id missing\n+ client_id = auth_plugin.config.__dict__.pop(\"client_id\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.client_id = client_id\n+ # client_secret missing\n+ client_secret = auth_plugin.config.__dict__.pop(\"client_secret\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.client_secret = client_secret\n+ # token_provision missing\n+ token_provision = auth_plugin.config.__dict__.pop(\"token_provision\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.token_provision = token_provision\n+\n+ # no error\n+ auth_plugin.validate_config_credentials()\n+\n+ def test_plugins_auth_keycloak_authenticate(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.authenticate must query and store the token as expected\"\"\"\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ req_kwargs = {\n+ \"client_id\": \"baz\",\n+ \"client_secret\": \"1234\",\n+ \"grant_type\": \"password\",\n+ \"username\": \"john\",\n+ }\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=200,\n+ json={\"access_token\": \"obtained-token\"},\n+ match=[responses.matchers.urlencoded_params_matcher(req_kwargs)],\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+ self.assertEqual(auth.key, \"totoken\")\n+ self.assertEqual(auth.token, \"obtained-token\")\n+ self.assertEqual(auth.where, \"qs\")\n+\n+ # check that token has been stored\n+ self.assertEqual(auth_plugin.retrieved_token, \"obtained-token\")\n+\n+ # check that stored token is used if new auth request fails\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ req_kwargs = {\n+ \"client_id\": \"baz\",\n+ \"client_secret\": \"1234\",\n+ \"grant_type\": \"password\",\n+ \"username\": \"john\",\n+ }\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=401,\n+ json={\"error\": \"not allowed\"},\n+ match=[responses.matchers.urlencoded_params_matcher(req_kwargs)],\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+ self.assertEqual(auth.key, \"totoken\")\n+ self.assertEqual(auth.token, \"obtained-token\")\n+ self.assertEqual(auth.where, \"qs\")\n+\n+ def test_plugins_auth_keycloak_authenticate_qs(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.authenticate must return a AuthBase object that will inject the token in a query-string\"\"\" # noqa\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=200,\n+ json={\"access_token\": \"obtained-token\"},\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+\n+ # check if query string is integrated to the request\n+ req = Request(\"GET\", \"https://httpbin.org/get\").prepare()\n+ auth(req)\n+ self.assertEqual(req.url, \"https://httpbin.org/get?totoken=obtained-token\")\n+\n+ another_req = Request(\"GET\", \"https://httpbin.org/get?baz=qux\").prepare()\n+ auth(another_req)\n+ self.assertEqual(\n+ another_req.url,\n+ \"https://httpbin.org/get?baz=qux&totoken=obtained-token\",\n+ )\n+\n+ def test_plugins_auth_keycloak_authenticate_header(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.authenticate must return a AuthBase object that will inject the token in the header\"\"\" # noqa\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ # backup token_provision and change it to header mode\n+ token_provision_qs = auth_plugin.config.token_provision\n+ auth_plugin.config.token_provision = \"header\"\n+\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=200,\n+ json={\"access_token\": \"obtained-token\"},\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+\n+ # check if token header is integrated to the request\n+ req = Request(\"GET\", \"https://httpbin.org/get\").prepare()\n+ auth(req)\n+ self.assertEqual(req.url, \"https://httpbin.org/get\")\n+ self.assertEqual(req.headers, {\"Authorization\": \"Bearer obtained-token\"})\n+\n+ another_req = Request(\n+ \"GET\", \"https://httpbin.org/get\", headers={\"existing-header\": \"value\"}\n+ ).prepare()\n+ auth(another_req)\n+ self.assertEqual(\n+ another_req.headers,\n+ {\"Authorization\": \"Bearer obtained-token\", \"existing-header\": \"value\"},\n+ )\n+\n+ auth_plugin.config.token_provision = token_provision_qs\ndiff --git a/tests/units/test_download_plugins.py b/tests/units/test_download_plugins.py\nindex 0755ad55..6a94fa5d 100644\n--- a/tests/units/test_download_plugins.py\n+++ b/tests/units/test_download_plugins.py\n@@ -16,6 +16,7 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n import os\n+import shutil\n import stat\n import unittest\n from pathlib import Path\n@@ -171,6 +172,71 @@ class TestDownloadPluginHttp(BaseDownloadPluginTest):\n timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n )\n \n+ @mock.patch(\"eodag.plugins.download.http.requests.request\", autospec=True)\n+ @mock.patch(\"eodag.plugins.download.http.requests.head\", autospec=True)\n+ @mock.patch(\"eodag.plugins.download.http.requests.get\", autospec=True)\n+ def test_plugins_download_http_ignore_assets(\n+ self, mock_requests_get, mock_requests_head, mock_requests_request\n+ ):\n+ \"\"\"HTTPDownload.download() must ignore assets if configured to\"\"\"\n+\n+ plugin = self.get_download_plugin(self.product)\n+ self.product.location = (\n+ self.product.remote_location\n+ ) = \"http://somewhere/dowload_from_location\"\n+ self.product.properties[\"id\"] = \"someproduct\"\n+ self.product.assets = {\"foo\": {\"href\": \"http://somewhere/download_asset\"}}\n+\n+ # download asset if ignore_assets = False\n+ plugin.config.ignore_assets = False\n+ path = plugin.download(self.product, outputs_prefix=self.output_dir)\n+ mock_requests_get.assert_called_once_with(\n+ self.product.assets[\"foo\"][\"href\"],\n+ stream=True,\n+ auth=None,\n+ params=plugin.config.dl_url_params,\n+ headers=USER_AGENT,\n+ timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ )\n+ mock_requests_request.assert_not_called()\n+ # re-enable product download\n+ self.product.location = self.product.remote_location\n+ shutil.rmtree(path)\n+ mock_requests_get.reset_mock()\n+ mock_requests_request.reset_mock()\n+\n+ # download using remote_location if ignore_assets = True\n+ plugin.config.ignore_assets = True\n+ path = plugin.download(self.product, outputs_prefix=self.output_dir)\n+ mock_requests_get.assert_not_called()\n+ mock_requests_request.assert_called_once_with(\n+ \"get\",\n+ self.product.remote_location,\n+ stream=True,\n+ auth=None,\n+ params=plugin.config.dl_url_params,\n+ headers=USER_AGENT,\n+ timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ )\n+ # re-enable product download\n+ self.product.location = self.product.remote_location\n+ os.remove(path)\n+ mock_requests_get.reset_mock()\n+ mock_requests_request.reset_mock()\n+\n+ # download asset if ignore_assets unset\n+ del plugin.config.ignore_assets\n+ plugin.download(self.product, outputs_prefix=self.output_dir)\n+ mock_requests_get.assert_called_once_with(\n+ self.product.assets[\"foo\"][\"href\"],\n+ stream=True,\n+ auth=None,\n+ params=plugin.config.dl_url_params,\n+ headers=USER_AGENT,\n+ timeout=DEFAULT_STREAM_REQUESTS_TIMEOUT,\n+ )\n+ mock_requests_request.assert_not_called()\n+\n @mock.patch(\"eodag.plugins.download.http.requests.head\", autospec=True)\n @mock.patch(\"eodag.plugins.download.http.requests.get\", autospec=True)\n def test_plugins_download_http_assets_filename_from_href(\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 1,\n \"test_score\": 3\n },\n \"num_modified_files\": 10\n}"},"version":{"kind":"string","value":"2.10"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"sphinx\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"alabaster==0.7.16\nannotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbabel==2.17.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@c38d36ec0be2c490d04060030c10726ecf327972#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimagesize==1.4.1\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nsnowballstemmer==2.2.0\nSphinx==7.4.7\nsphinxcontrib-applehelp==2.0.0\nsphinxcontrib-devhelp==2.0.0\nsphinxcontrib-htmlhelp==2.1.0\nsphinxcontrib-jsmath==1.0.1\nsphinxcontrib-qthelp==2.0.0\nsphinxcontrib-serializinghtml==2.0.0\nstarlette==0.46.1\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - alabaster==0.7.16\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - babel==2.17.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.10.1.dev20+gc38d36ec\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - imagesize==1.4.1\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - shellingham==1.5.4\n - six==1.17.0\n - sniffio==1.3.1\n - snowballstemmer==2.2.0\n - sphinx==7.4.7\n - sphinxcontrib-applehelp==2.0.0\n - sphinxcontrib-devhelp==2.0.0\n - sphinxcontrib-htmlhelp==2.1.0\n - sphinxcontrib-jsmath==1.0.1\n - sphinxcontrib-qthelp==2.0.0\n - sphinxcontrib-serializinghtml==2.0.0\n - starlette==0.46.1\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typer==0.15.2\n - typing-extensions==4.13.0\n - typing-inspection==0.4.0\n - tzdata==2025.2\n - ujson==5.10.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - uvicorn==0.34.0\n - uvloop==0.21.0\n - virtualenv==20.29.3\n - watchfiles==1.0.4\n - websockets==15.0.1\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate","tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_header","tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_qs","tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_validate_credentials","tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_ignore_assets"],"string":"[\n \"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_header\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_qs\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_validate_credentials\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_ignore_assets\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_creodias","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_astraea_eod","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_ads","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_cds","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_dataspace","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_hydroweb_next","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_meteoblue","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sara","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_old","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_recent","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws","tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps","tests/test_end_to_end.py::TestEODagEndToEnd::test_search_by_tile","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda","tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"],"string":"[\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_astraea_eod\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_ads\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_cds\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_dataspace\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_hydroweb_next\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_meteoblue\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sara\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_old\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_recent\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_search_by_tile\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list 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\"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_apikey_search_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_cop_dataspace\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_search_hydroweb_next\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_search_meteoblue\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_search_usgs\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_theia\",\n 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\"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_once_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_short_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_timeout_disabled\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_get_bucket_prefix\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_flatten_top_dirs\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_no_flatten_top_dirs\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build_assets\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginS3Rest::test_plugins_download_s3rest_offline\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginS3Rest::test_plugins_download_s3rest_online\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":481,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-763"},"base_commit":{"kind":"string","value":"c38d36ec0be2c490d04060030c10726ecf327972"},"created_at":{"kind":"string","value":"2023-07-13 16:08:46"},"environment_setup_commit":{"kind":"string","value":"856121900f6d973eca9d2ad3c0de61bbd706ae2c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 1 files - 3 1 suites - 3 1m 10s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"duration of all tests\") - 3m 10s\n392 tests + 4 107 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") - 279 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") ± 0 62 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") +62 221 [:fire:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"test errors\") +221 \n392 runs - 1 160 107 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"passed tests\") - 1 389 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"skipped / disabled tests\") - 54 62 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"failed tests\") +62 221 [:fire:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols \"test errors\") +221 \n\nFor more details on these failures and errors, see [this check](https://github.com/CS-SI/eodag/runs/15020308526).\n\nResults for commit 9ce88708. ± Comparison against base commit c38d36ec.\n\n[test-results]:data:application/gzip;base64,H4sIAG8isGQC/1WNyw7CIBBFf6Vh7QJKkcGfMeWVENtieKwa/92hRrHLc+bmzE58WFwmt4FdBpJrKD+wNc0lxA1RUmS8lHbjavzSPVdj2pzKrh7hiapv/BwWFNduXEoxtc3Y/qS69WyDc/VjevTg/+YhzkkT1zUURKKMA5AUuJ30pDj1VoMFYYQHnGrFBdMMqCevN+xw9mAKAQAA\n"},"patch":{"kind":"string","value":"diff --git a/docs/getting_started_guide/configure.rst b/docs/getting_started_guide/configure.rst\nindex 7c2b22ad..2193594a 100644\n--- a/docs/getting_started_guide/configure.rst\n+++ b/docs/getting_started_guide/configure.rst\n@@ -246,3 +246,62 @@ Or with the CLI:\n -p S2_MSI_L1C \\\n --storage my_search.geojson\n eodag download -f my_config.yml --search-results my_search.geojson\n+\n+Authenticate using an OTP / One Time Password (Two-Factor authentication)\n+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n+\n+Use OTP through Python code\n+\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n+\n+``creodias`` needs a temporary 6-digits code to authenticate in addition of the ``username`` and ``password``. Check\n+`Creodias documentation <https://creodias.docs.cloudferro.com/en/latest/gettingstarted/Two-Factor-Authentication-for-Creodias-Site.html>`_\n+to see how to get this code once you are registered. This OTP code will only be valid for a few seconds, so you will\n+better set it dynamically in your python code instead of storing it statically in your user configuration file.\n+\n+Set the OTP by updating ``creodias`` credentials for ``totp`` entry, using one of the two following configuration update\n+commands:\n+\n+.. code-block:: python\n+\n+ dag.providers_config[\"creodias\"].auth.credentials[\"totp\"] = \"PLEASE_CHANGE_ME\"\n+\n+ # OR\n+\n+ dag.update_providers_config(\n+ \"\"\"\n+ creodias:\n+ auth:\n+ credentials:\n+ totp: PLEASE_CHANGE_ME\n+ \"\"\"\n+ )\n+\n+Then quickly authenticate as this OTP has a few seconds only lifetime. First authentication will retrieve a token that\n+will be stored and used if further authentication tries fail:\n+\n+.. code-block:: python\n+\n+ dag._plugins_manager.get_auth_plugin(\"creodias\").authenticate()\n+\n+Please note that authentication mechanism is already included in\n+`download methods <https://eodag.readthedocs.io/en/stable/notebooks/api_user_guide/7_download.html>`_ , so you could also directly execute a\n+download to retrieve the token while the OTP is still valid.\n+\n+Use OTP through CLI\n+\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n+\n+To download through CLI a product on a provider that needs a One Time Password, e.g. ``creodias``, first search on this\n+provider (increase the provider priotity to make eodag search on it):\n+\n+.. code-block:: console\n+\n+ EODAG__CREODIAS__PRIORITY=2 eodag search -b 1 43 2 44 -s 2018-01-01 -e 2018-01-31 -p S2_MSI_L1C --items 1\n+\n+Then download using the OTP (``creodias`` needs it as ``totp`` parameter):\n+\n+.. code-block:: console\n+\n+ EODAG__CREODIAS__AUTH__CREDENTIALS__TOTP=PLEASE_CHANGE_ME eodag download --search-results search_results.geojson\n+\n+If needed, check in the documentation how to\n+`use environment variables to configure EODAG <#environment-variable-configuration>`_.\ndiff --git a/docs/getting_started_guide/register.rst b/docs/getting_started_guide/register.rst\nindex bea5eecd..c2f7d15a 100644\n--- a/docs/getting_started_guide/register.rst\n+++ b/docs/getting_started_guide/register.rst\n@@ -15,7 +15,12 @@ to each provider supported by ``eodag``:\n \n * ``peps``: create an account `here <https://peps.cnes.fr/rocket/#/register>`__, then use your email as `username` in eodag credentials.\n \n-* ``creodias``: create an account `here <https://portal.creodias.eu/register.php>`__\n+* ``creodias``: create an account `here <https://portal.creodias.eu/register.php>`__, then use your `username`, `password` in eodag credentials. You will also\n+ need `totp` in credentials, a temporary 6-digits OTP (One Time Password, see\n+ `Creodias documentation <https://creodias.docs.cloudferro.com/en/latest/gettingstarted/Two-Factor-Authentication-for-Creodias-Site.html>`__)\n+ to be able to authenticate and download. Check\n+ `Authenticate using an OTP <https://eodag.readthedocs.io/en/latest/getting_started_guide/configure.html#authenticate-using-an-otp-one-time-password-two-factor-authentication>`__\n+ to see how to proceed.\n \n * ``onda``: create an account `here: <https://www.onda-dias.eu/cms/>`__\n \ndiff --git a/eodag/plugins/authentication/keycloak.py b/eodag/plugins/authentication/keycloak.py\nindex 26b4d2e7..9266e721 100644\n--- a/eodag/plugins/authentication/keycloak.py\n+++ b/eodag/plugins/authentication/keycloak.py\n@@ -21,43 +21,101 @@ import requests\n from eodag.plugins.authentication import Authentication\n from eodag.plugins.authentication.openid_connect import CodeAuthorizedAuth\n from eodag.utils import USER_AGENT\n-from eodag.utils.exceptions import AuthenticationError\n+from eodag.utils.exceptions import AuthenticationError, MisconfiguredError\n from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n \n \n class KeycloakOIDCPasswordAuth(Authentication):\n- \"\"\"Authentication plugin using Keycloak and OpenId Connect\"\"\"\n+ \"\"\"Authentication plugin using Keycloak and OpenId Connect.\n+\n+ This plugin request a token and use it through a query-string or a header.\n+\n+ Using :class:`~eodag.plugins.download.http.HTTPDownload` a download link\n+ `http://example.com?foo=bar` will become\n+ `http://example.com?foo=bar&my-token=obtained-token` if associated to the following\n+ configuration::\n+\n+ provider:\n+ ...\n+ auth:\n+ plugin: KeycloakOIDCPasswordAuth\n+ auth_base_uri: 'https://somewhere/auth'\n+ realm: 'the-realm'\n+ client_id: 'SOME_ID'\n+ client_secret: '01234-56789'\n+ token_provision: qs\n+ token_qs_key: 'my-token'\n+ ...\n+ ...\n+\n+ If configured to send the token through the header, the download request header will\n+ be updated with `Authorization: \"Bearer obtained-token\"` if associated to the\n+ following configuration::\n+\n+ provider:\n+ ...\n+ auth:\n+ plugin: KeycloakOIDCPasswordAuth\n+ auth_base_uri: 'https://somewhere/auth'\n+ realm: 'the-realm'\n+ client_id: 'SOME_ID'\n+ client_secret: '01234-56789'\n+ token_provision: header\n+ ...\n+ ...\n+ \"\"\"\n \n GRANT_TYPE = \"password\"\n TOKEN_URL_TEMPLATE = \"{auth_base_uri}/realms/{realm}/protocol/openid-connect/token\"\n+ REQUIRED_PARAMS = [\"auth_base_uri\", \"client_id\", \"client_secret\", \"token_provision\"]\n+ # already retrieved token store, to be used if authenticate() fails (OTP use-case)\n+ retrieved_token = None\n \n def __init__(self, provider, config):\n super(KeycloakOIDCPasswordAuth, self).__init__(provider, config)\n self.session = requests.Session()\n \n+ def validate_config_credentials(self):\n+ \"\"\"Validate configured credentials\"\"\"\n+ super(KeycloakOIDCPasswordAuth, self).validate_config_credentials()\n+\n+ for param in self.REQUIRED_PARAMS:\n+ if not hasattr(self.config, param):\n+ raise MisconfiguredError(\n+ \"The following authentication configuration is missing for provider \",\n+ f\"{self.provider}: {param}\",\n+ )\n+\n def authenticate(self):\n \"\"\"\n Makes authentication request\n \"\"\"\n self.validate_config_credentials()\n+ req_data = {\n+ \"client_id\": self.config.client_id,\n+ \"client_secret\": self.config.client_secret,\n+ \"grant_type\": self.GRANT_TYPE,\n+ }\n+ credentials = {k: v for k, v in self.config.credentials.items()}\n try:\n response = self.session.post(\n self.TOKEN_URL_TEMPLATE.format(\n auth_base_uri=self.config.auth_base_uri.rstrip(\"/\"),\n realm=self.config.realm,\n ),\n- data={\n- \"client_id\": self.config.client_id,\n- \"client_secret\": self.config.client_secret,\n- \"username\": self.config.credentials[\"username\"],\n- \"password\": self.config.credentials[\"password\"],\n- \"grant_type\": self.GRANT_TYPE,\n- },\n+ data=dict(req_data, **credentials),\n headers=USER_AGENT,\n timeout=HTTP_REQ_TIMEOUT,\n )\n response.raise_for_status()\n except requests.RequestException as e:\n+ if self.retrieved_token:\n+ # try using already retrieved token if authenticate() fails (OTP use-case)\n+ return CodeAuthorizedAuth(\n+ self.retrieved_token,\n+ self.config.token_provision,\n+ key=getattr(self.config, \"token_qs_key\", None),\n+ )\n # check if error is identified as auth_error in provider conf\n auth_errors = getattr(self.config, \"auth_error_code\", [None])\n if not isinstance(auth_errors, list):\n@@ -79,8 +137,10 @@ class KeycloakOIDCPasswordAuth(Authentication):\n tb.format_exc()\n )\n )\n+\n+ self.retrieved_token = response.json()[\"access_token\"]\n return CodeAuthorizedAuth(\n- response.json()[\"access_token\"],\n+ self.retrieved_token,\n self.config.token_provision,\n key=getattr(self.config, \"token_qs_key\", None),\n )\ndiff --git a/eodag/plugins/authentication/openid_connect.py b/eodag/plugins/authentication/openid_connect.py\nindex 5531a1fd..b535ad66 100644\n--- a/eodag/plugins/authentication/openid_connect.py\n+++ b/eodag/plugins/authentication/openid_connect.py\n@@ -25,14 +25,7 @@ from lxml import etree\n from requests.auth import AuthBase\n \n from eodag.plugins.authentication import Authentication\n-from eodag.utils import (\n- USER_AGENT,\n- parse_qs,\n- repeatfunc,\n- urlencode,\n- urlparse,\n- urlunparse,\n-)\n+from eodag.utils import USER_AGENT, parse_qs, repeatfunc, urlparse\n from eodag.utils.exceptions import AuthenticationError, MisconfiguredError\n from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n \n@@ -306,18 +299,12 @@ class CodeAuthorizedAuth(AuthBase):\n \"\"\"Perform the actual authentication\"\"\"\n if self.where == \"qs\":\n parts = urlparse(request.url)\n- qs = parse_qs(parts.query)\n- qs[self.key] = self.token\n- request.url = urlunparse(\n- (\n- parts.scheme,\n- parts.netloc,\n- parts.path,\n- parts.params,\n- urlencode(qs),\n- parts.fragment,\n- )\n- )\n+ query_dict = parse_qs(parts.query)\n+ query_dict.update({self.key: self.token})\n+ url_without_args = parts._replace(query=None).geturl()\n+\n+ request.prepare_url(url_without_args, query_dict)\n+\n elif self.where == \"header\":\n request.headers[\"Authorization\"] = \"Bearer {}\".format(self.token)\n return request\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 437d11b0..74648ba1 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1032,7 +1032,7 @@\n auth: !plugin\n type: KeycloakOIDCPasswordAuth\n auth_base_uri: 'https://identity.cloudferro.com/auth'\n- realm: 'dias'\n+ realm: 'Creodias-new'\n client_id: 'CLOUDFERRO_PUBLIC'\n client_secret: 'dc0aca03-2dc6-4798-a5de-fc5aeb6c8ee1'\n token_provision: qs\ndiff --git a/eodag/resources/user_conf_template.yml b/eodag/resources/user_conf_template.yml\nindex 6d7dfcc4..ef6920fe 100644\n--- a/eodag/resources/user_conf_template.yml\n+++ b/eodag/resources/user_conf_template.yml\n@@ -69,6 +69,7 @@ creodias:\n credentials:\n username:\n password:\n+ totp: # set totp dynamically, see https://eodag.readthedocs.io/en/latest/getting_started_guide/configure.html#authenticate-using-an-otp-one-time-password-two-factor-authentication\n mundi:\n priority: # Lower value means lower priority (Default: 0)\n search: # Search parameters configuration\n"},"problem_statement":{"kind":"string","value":"[URGENT] Unable to download products from CreoDIAS due to authentification change\n**Describe the bug**\r\nWhen searching for Sentinel-1 GRD products with CreoDIAS as a provider, the `download` command returns an error.\r\n\r\nIt seems than CreoDIAS has recently updated their website (see new website \"[CreoDIAS 2.0](https://creodias.eu/)\" that now requires MFA to sign in) and their authentification method through the API. \r\n\r\n**Code To Reproduce**\r\nWith CreoDIAS as main provider configured, `search` will pass successfully but `download` will fail:\r\n```sh\r\neodag search --productType S1_SAR_GRD --start 2023-06-01 --end 2023-06-02\r\neodag -vvv download --search-results search_results.geojson\r\n```\r\n\r\n**Output**\r\nThe `download` command will return an authentification error:\r\n```sh\r\neodag.utils.exceptions.AuthenticationError: Something went wrong while trying to get access token:\r\nTraceback (most recent call last):\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/authentication/keycloak.py\", line 59, in authenticate\r\n response.raise_for_status()\r\n File \"/home/username/.local/lib/python3.8/site-packages/requests/models.py\", line 1022, in raise_for_status\r\n raise HTTPError(http_error_msg, response=self)\r\nrequests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://identity.cloudferro.com/auth/realms/dias/protocol/openid-connect/token\r\n```\r\n\r\n<details open>\r\n<summary>See the full error below returned by the `download` command</summary>\r\n<br>\r\n\r\n```sh\r\n2023-06-28 14:37:35,395 eodag.config [INFO ] (config ) Loading user configuration from: /home/username/.config/eodag/eodag.yml\r\n2023-06-28 14:37:35,468 eodag.core [INFO ] (core ) usgs: provider needing auth for search has been pruned because no crendentials could be found\r\n2023-06-28 14:37:35,468 eodag.core [INFO ] (core ) aws_eos: provider needing auth for search has been pruned because no crendentials could be found\r\n2023-06-28 14:37:35,468 eodag.core [INFO ] (core ) meteoblue: provider needing auth for search has been pruned because no crendentials could be found\r\n2023-06-28 14:37:35,468 eodag.core [INFO ] (core ) hydroweb_next: provider needing auth for search has been pruned because no crendentials could be found\r\n2023-06-28 14:37:35,540 eodag.core [DEBUG ] (core ) Opening product types index in /home/username/.config/eodag/.index\r\n2023-06-28 14:37:35,546 eodag.core [INFO ] (core ) Locations configuration loaded from /home/username/.config/eodag/locations.yml\r\n2023-06-28 14:37:35,549 eodag.core [INFO ] (core ) Downloading 20 products\r\nDownloaded products: 0%| | 0/20 [00:00<?, ?product/s]2023-06-28 14:37:35,686 eodag.plugins.download.base [ERROR ] (base ) Stopped because of credentials problems with provider creodias\r\nTraceback (most recent call last):\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/authentication/keycloak.py\", line 59, in authenticate\r\n response.raise_for_status()\r\n File \"/home/username/.local/lib/python3.8/site-packages/requests/models.py\", line 1022, in raise_for_status\r\n raise HTTPError(http_error_msg, response=self)\r\nrequests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://identity.cloudferro.com/auth/realms/dias/protocol/openid-connect/token\r\n\r\nDuring handling of the above exception, another exception occurred:\r\n\r\nTraceback (most recent call last):\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/download/base.py\", line 453, in download_all\r\n product.download(\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/api/product/_product.py\", line 304, in download\r\n self.downloader_auth.authenticate()\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/authentication/keycloak.py\", line 77, in authenticate\r\n raise AuthenticationError(\r\neodag.utils.exceptions.AuthenticationError: Something went wrong while trying to get access token:\r\nTraceback (most recent call last):\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/authentication/keycloak.py\", line 59, in authenticate\r\n response.raise_for_status()\r\n File \"/home/username/.local/lib/python3.8/site-packages/requests/models.py\", line 1022, in raise_for_status\r\n raise HTTPError(http_error_msg, response=self)\r\nrequests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://identity.cloudferro.com/auth/realms/dias/protocol/openid-connect/token\r\n\r\nDownloaded products: 0%| | 0/20 [00:00<?, ?product/s]\r\nTraceback (most recent call last):\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/authentication/keycloak.py\", line 59, in authenticate\r\n response.raise_for_status()\r\n File \"/home/username/.local/lib/python3.8/site-packages/requests/models.py\", line 1022, in raise_for_status\r\n raise HTTPError(http_error_msg, response=self)\r\nrequests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://identity.cloudferro.com/auth/realms/dias/protocol/openid-connect/token\r\n\r\nDuring handling of the above exception, another exception occurred:\r\n\r\nTraceback (most recent call last):\r\n File \"/home/username/.local/bin/eodag\", line 8, in <module>\r\n sys.exit(eodag())\r\n File \"/home/username/.local/lib/python3.8/site-packages/click/core.py\", line 1130, in __call__\r\n return self.main(*args, **kwargs)\r\n File \"/home/username/.local/lib/python3.8/site-packages/click/core.py\", line 1055, in main\r\n rv = self.invoke(ctx)\r\n File \"/home/username/.local/lib/python3.8/site-packages/click/core.py\", line 1657, in invoke\r\n return _process_result(sub_ctx.command.invoke(sub_ctx))\r\n File \"/home/username/.local/lib/python3.8/site-packages/click/core.py\", line 1404, in invoke\r\n return ctx.invoke(self.callback, **ctx.params)\r\n File \"/home/username/.local/lib/python3.8/site-packages/click/core.py\", line 760, in invoke\r\n return __callback(*args, **kwargs)\r\n File \"/home/username/.local/lib/python3.8/site-packages/click/decorators.py\", line 26, in new_func\r\n return f(get_current_context(), *args, **kwargs)\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/cli.py\", line 573, in download\r\n downloaded_files = satim_api.download_all(search_results)\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/api/core.py\", line 1612, in download_all\r\n paths = download_plugin.download_all(\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/download/http.py\", line 718, in download_all\r\n return super(HTTPDownload, self).download_all(\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/download/base.py\", line 453, in download_all\r\n product.download(\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/api/product/_product.py\", line 304, in download\r\n self.downloader_auth.authenticate()\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/authentication/keycloak.py\", line 77, in authenticate\r\n raise AuthenticationError(\r\neodag.utils.exceptions.AuthenticationError: Something went wrong while trying to get access token:\r\nTraceback (most recent call last):\r\n File \"/home/username/.local/lib/python3.8/site-packages/eodag/plugins/authentication/keycloak.py\", line 59, in authenticate\r\n response.raise_for_status()\r\n File \"/home/username/.local/lib/python3.8/site-packages/requests/models.py\", line 1022, in raise_for_status\r\n raise HTTPError(http_error_msg, response=self)\r\nrequests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://identity.cloudferro.com/auth/realms/dias/protocol/openid-connect/token\r\n```\r\n\r\n</details>\r\n\r\n**Environment:**\r\n - Python version: `3.8.10`\r\n - EODAG version: `2.10.0`\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py\nindex d86f2cd2..2793adb1 100644\n--- a/tests/test_end_to_end.py\n+++ b/tests/test_end_to_end.py\n@@ -423,6 +423,9 @@ class TestEODagEndToEnd(EndToEndBase):\n \n def test_end_to_end_search_download_creodias(self):\n product = self.execute_search(*CREODIAS_SEARCH_ARGS)\n+ self.eodag.providers_config[\"creodias\"].auth.credentials[\n+ \"totp\"\n+ ] = \"PLEASE_CHANGE_ME\"\n expected_filename = \"{}.zip\".format(product.properties[\"title\"])\n self.execute_download(product, expected_filename)\n \ndiff --git a/tests/units/test_auth_plugins.py b/tests/units/test_auth_plugins.py\nindex f064f056..93c8d71d 100644\n--- a/tests/units/test_auth_plugins.py\n+++ b/tests/units/test_auth_plugins.py\n@@ -19,6 +19,7 @@\n import unittest\n from unittest import mock\n \n+import responses\n from requests import Request\n from requests.auth import AuthBase\n from requests.exceptions import RequestException\n@@ -391,3 +392,183 @@ class TestAuthPluginSASAuth(BaseAuthPluginTest):\n req = mock.Mock(headers={}, url=\"url\")\n with self.assertRaises(AuthenticationError):\n auth(req)\n+\n+\n+class TestAuthPluginKeycloakOIDCPasswordAuth(BaseAuthPluginTest):\n+ @classmethod\n+ def setUpClass(cls):\n+ super(TestAuthPluginKeycloakOIDCPasswordAuth, cls).setUpClass()\n+ override_config_from_mapping(\n+ cls.providers_config,\n+ {\n+ \"foo_provider\": {\n+ \"products\": {},\n+ \"auth\": {\n+ \"type\": \"KeycloakOIDCPasswordAuth\",\n+ \"auth_base_uri\": \"http://foo.bar\",\n+ \"client_id\": \"baz\",\n+ \"realm\": \"qux\",\n+ \"client_secret\": \"1234\",\n+ \"token_provision\": \"qs\",\n+ \"token_qs_key\": \"totoken\",\n+ },\n+ },\n+ },\n+ )\n+ cls.plugins_manager = PluginManager(cls.providers_config)\n+\n+ def test_plugins_auth_keycloak_validate_credentials(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.validate_credentials must raise exception if not well configured\"\"\"\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+\n+ # credentials missing\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ # no error\n+ auth_plugin.validate_config_credentials()\n+\n+ # auth_base_uri missing\n+ auth_base_uri = auth_plugin.config.__dict__.pop(\"auth_base_uri\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.auth_base_uri = auth_base_uri\n+ # client_id missing\n+ client_id = auth_plugin.config.__dict__.pop(\"client_id\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.client_id = client_id\n+ # client_secret missing\n+ client_secret = auth_plugin.config.__dict__.pop(\"client_secret\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.client_secret = client_secret\n+ # token_provision missing\n+ token_provision = auth_plugin.config.__dict__.pop(\"token_provision\")\n+ self.assertRaises(MisconfiguredError, auth_plugin.validate_config_credentials)\n+ auth_plugin.config.token_provision = token_provision\n+\n+ # no error\n+ auth_plugin.validate_config_credentials()\n+\n+ def test_plugins_auth_keycloak_authenticate(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.authenticate must query and store the token as expected\"\"\"\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ req_kwargs = {\n+ \"client_id\": \"baz\",\n+ \"client_secret\": \"1234\",\n+ \"grant_type\": \"password\",\n+ \"username\": \"john\",\n+ }\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=200,\n+ json={\"access_token\": \"obtained-token\"},\n+ match=[responses.matchers.urlencoded_params_matcher(req_kwargs)],\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+ self.assertEqual(auth.key, \"totoken\")\n+ self.assertEqual(auth.token, \"obtained-token\")\n+ self.assertEqual(auth.where, \"qs\")\n+\n+ # check that token has been stored\n+ self.assertEqual(auth_plugin.retrieved_token, \"obtained-token\")\n+\n+ # check that stored token is used if new auth request fails\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ req_kwargs = {\n+ \"client_id\": \"baz\",\n+ \"client_secret\": \"1234\",\n+ \"grant_type\": \"password\",\n+ \"username\": \"john\",\n+ }\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=401,\n+ json={\"error\": \"not allowed\"},\n+ match=[responses.matchers.urlencoded_params_matcher(req_kwargs)],\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+ self.assertEqual(auth.key, \"totoken\")\n+ self.assertEqual(auth.token, \"obtained-token\")\n+ self.assertEqual(auth.where, \"qs\")\n+\n+ def test_plugins_auth_keycloak_authenticate_qs(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.authenticate must return a AuthBase object that will inject the token in a query-string\"\"\" # noqa\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=200,\n+ json={\"access_token\": \"obtained-token\"},\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+\n+ # check if query string is integrated to the request\n+ req = Request(\"GET\", \"https://httpbin.org/get\").prepare()\n+ auth(req)\n+ self.assertEqual(req.url, \"https://httpbin.org/get?totoken=obtained-token\")\n+\n+ another_req = Request(\"GET\", \"https://httpbin.org/get?baz=qux\").prepare()\n+ auth(another_req)\n+ self.assertEqual(\n+ another_req.url,\n+ \"https://httpbin.org/get?baz=qux&totoken=obtained-token\",\n+ )\n+\n+ def test_plugins_auth_keycloak_authenticate_header(self):\n+ \"\"\"KeycloakOIDCPasswordAuth.authenticate must return a AuthBase object that will inject the token in the header\"\"\" # noqa\n+ auth_plugin = self.get_auth_plugin(\"foo_provider\")\n+ auth_plugin.config.credentials = {\"username\": \"john\"}\n+\n+ # backup token_provision and change it to header mode\n+ token_provision_qs = auth_plugin.config.token_provision\n+ auth_plugin.config.token_provision = \"header\"\n+\n+ with responses.RequestsMock(assert_all_requests_are_fired=True) as rsps:\n+ url = \"http://foo.bar/realms/qux/protocol/openid-connect/token\"\n+ rsps.add(\n+ responses.POST,\n+ url,\n+ status=200,\n+ json={\"access_token\": \"obtained-token\"},\n+ )\n+\n+ # check if returned auth object is an instance of requests.AuthBase\n+ auth = auth_plugin.authenticate()\n+ assert isinstance(auth, AuthBase)\n+\n+ # check if token header is integrated to the request\n+ req = Request(\"GET\", \"https://httpbin.org/get\").prepare()\n+ auth(req)\n+ self.assertEqual(req.url, \"https://httpbin.org/get\")\n+ self.assertEqual(req.headers, {\"Authorization\": \"Bearer obtained-token\"})\n+\n+ another_req = Request(\n+ \"GET\", \"https://httpbin.org/get\", headers={\"existing-header\": \"value\"}\n+ ).prepare()\n+ auth(another_req)\n+ self.assertEqual(\n+ another_req.headers,\n+ {\"Authorization\": \"Bearer obtained-token\", \"existing-header\": \"value\"},\n+ )\n+\n+ auth_plugin.config.token_provision = token_provision_qs\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 0,\n \"test_score\": 2\n },\n \"num_modified_files\": 6\n}"},"version":{"kind":"string","value":"2.10"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"sphinx\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"alabaster==0.7.16\nannotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbabel==2.17.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@c38d36ec0be2c490d04060030c10726ecf327972#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimagesize==1.4.1\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nsnowballstemmer==2.2.0\nSphinx==7.4.7\nsphinxcontrib-applehelp==2.0.0\nsphinxcontrib-devhelp==2.0.0\nsphinxcontrib-htmlhelp==2.1.0\nsphinxcontrib-jsmath==1.0.1\nsphinxcontrib-qthelp==2.0.0\nsphinxcontrib-serializinghtml==2.0.0\nstarlette==0.46.1\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.30.0\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - alabaster==0.7.16\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - babel==2.17.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.10.1.dev20+gc38d36ec\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - imagesize==1.4.1\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - shellingham==1.5.4\n - six==1.17.0\n - sniffio==1.3.1\n - snowballstemmer==2.2.0\n - sphinx==7.4.7\n - sphinxcontrib-applehelp==2.0.0\n - sphinxcontrib-devhelp==2.0.0\n - sphinxcontrib-htmlhelp==2.1.0\n - sphinxcontrib-jsmath==1.0.1\n - sphinxcontrib-qthelp==2.0.0\n - sphinxcontrib-serializinghtml==2.0.0\n - starlette==0.46.1\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typer==0.15.2\n - typing-extensions==4.13.0\n - typing-inspection==0.4.0\n - tzdata==2025.2\n - ujson==5.10.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - uvicorn==0.34.0\n - uvloop==0.21.0\n - virtualenv==20.30.0\n - watchfiles==1.0.4\n - websockets==15.0.1\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate","tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_header","tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_qs","tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_validate_credentials"],"string":"[\n \"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_header\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_qs\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_validate_credentials\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_creodias","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_astraea_eod","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_ads","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_cds","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_dataspace","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_hydroweb_next","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_meteoblue","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sara","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_old","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_recent","tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws","tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps","tests/test_end_to_end.py::TestEODagEndToEnd::test_search_by_tile","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi","tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda"],"string":"[\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_astraea_eod\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_iterate\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_ads\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_cds\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_cop_dataspace\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_hydroweb_next\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_meteoblue\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_onda\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sara\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_theia\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_old\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_recent\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_usgs_satapi_aws\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_get_quicklook_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEnd::test_search_by_tile\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_mundi\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_onda\"\n]","isConversational":false},"PASS_TO_PASS":{"kind":"list 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\"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_apikey_search_aws_eos\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_cop_dataspace\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_creodias\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_peps\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_search_hydroweb_next\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_search_meteoblue\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_search_usgs\",\n \"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_credentials_theia\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_json_token_authenticate\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_request_error\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_text_token_authenticate\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_empty\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_missing\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_format_url_ok\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_validate_credentials_ok\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_authenticate\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_request_error\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_validate_credentials_empty\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginHttpQueryStringAuth::test_plugins_auth_qsauth_validate_credentials_ok\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginSASAuth::test_plugins_auth_sasauth_request_error\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginSASAuth::test_plugins_auth_sasauth_text_token_authenticate_with_credentials\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginSASAuth::test_plugins_auth_sasauth_text_token_authenticate_without_credentials\",\n \"tests/units/test_auth_plugins.py::TestAuthPluginSASAuth::test_plugins_auth_sasauth_validate_credentials_ok\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":482,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-790"},"base_commit":{"kind":"string","value":"9acf017451f71c5488011f3add086a9936cfffc8"},"created_at":{"kind":"string","value":"2023-08-22 14:16:26"},"environment_setup_commit":{"kind":"string","value":"49209ff081784ca7d31121899ce1eb8eda7d294c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 4 files ±0 4 suites ±0 5m 6s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"duration of all tests\") -40s\n 402 tests +1 400 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"passed tests\") +1 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"failed tests\") ±0 \n1 608 runs +4 1 548 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"passed tests\") +4 60 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 9756f25c. ± Comparison against base commit f2ac36ba.\n\n[test-results]:data:application/gzip;base64,H4sIAFXE5GQC/02MzQ6DIBAGX8Vw7gEUEPoyjcCSkKo0/JxM372USvE4s9/OgaxbIaL7QG8DitmlP5gcluT8XnDCvIhySvWIx0aPmLWuCnf1dK+i+sYubi2iLyAEH04T8v5tEo7FSa1JGO3q1+Tt49qsfE1qv20uFUByZtyOTIM1aqYMDEwKm4kKDERJIam2Aoxl6P0BLHLFFwgBAAA=\n\ngithub-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `81%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 9756f25cefdb745ede3b0d3480e1b9894cf8edf5 </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `76%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 9756f25cefdb745ede3b0d3480e1b9894cf8edf5 </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 0d589122..9b394f4a 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -832,6 +832,7 @@ class EODataAccessGateway(object):\n end=None,\n geom=None,\n locations=None,\n+ provider=None,\n **kwargs,\n ):\n \"\"\"Look for products matching criteria on known providers.\n@@ -877,6 +878,9 @@ class EODataAccessGateway(object):\n :type locations: dict\n :param kwargs: Some other criteria that will be used to do the search,\n using paramaters compatibles with the provider\n+ :param provider: (optional) the provider to be used, if not set, the configured\n+ default provider will be used\n+ :type provider: str\n :type kwargs: Union[int, str, bool, dict]\n :returns: A collection of EO products matching the criteria and the total\n number of results found\n@@ -888,7 +892,12 @@ class EODataAccessGateway(object):\n enforced here.\n \"\"\"\n search_kwargs = self._prepare_search(\n- start=start, end=end, geom=geom, locations=locations, **kwargs\n+ start=start,\n+ end=end,\n+ geom=geom,\n+ locations=locations,\n+ provider=provider,\n+ **kwargs,\n )\n search_plugins = search_kwargs.pop(\"search_plugins\", [])\n if search_kwargs.get(\"id\"):\n@@ -899,7 +908,9 @@ class EODataAccessGateway(object):\n )\n # remove auth from search_kwargs as a loop over providers will be performed\n search_kwargs.pop(\"auth\", None)\n- return self._search_by_id(search_kwargs.pop(\"id\"), **search_kwargs)\n+ return self._search_by_id(\n+ search_kwargs.pop(\"id\"), provider=provider, **search_kwargs\n+ )\n search_kwargs.update(\n page=page,\n items_per_page=items_per_page,\n@@ -1254,12 +1265,16 @@ class EODataAccessGateway(object):\n of EO products retrieved (0 or 1)\n :rtype: tuple(:class:`~eodag.api.search_result.SearchResult`, int)\n \"\"\"\n+ if not provider:\n+ provider = self.get_preferred_provider()[0]\n get_search_plugins_kwargs = dict(\n provider=provider, product_type=kwargs.get(\"productType\", None)\n )\n- for plugin in self._plugins_manager.get_search_plugins(\n+ search_plugins = self._plugins_manager.get_search_plugins(\n **get_search_plugins_kwargs\n- ):\n+ )\n+\n+ for plugin in search_plugins:\n logger.info(\n \"Searching product with id '%s' on provider: %s\", uid, plugin.provider\n )\n@@ -1294,7 +1309,7 @@ class EODataAccessGateway(object):\n return SearchResult([]), 0\n \n def _prepare_search(\n- self, start=None, end=None, geom=None, locations=None, **kwargs\n+ self, start=None, end=None, geom=None, locations=None, provider=None, **kwargs\n ):\n \"\"\"Internal method to prepare the search kwargs and get the search\n and auth plugins.\n@@ -1323,6 +1338,9 @@ class EODataAccessGateway(object):\n :type geom: Union[str, dict, shapely.geometry.base.BaseGeometry]\n :param locations: (optional) Location filtering by name using locations configuration\n :type locations: dict\n+ :param provider: provider to be used, if no provider is given or the product type\n+ is not available for the provider, the preferred provider is used\n+ :type provider: str\n :param kwargs: Some other criteria\n * id and/or a provider for a search by\n * search criteria to guess the product type\n@@ -1400,15 +1418,23 @@ class EODataAccessGateway(object):\n ):\n search_plugins.append(plugin)\n \n- if search_plugins[0].provider != self.get_preferred_provider()[0]:\n+ if not provider:\n+ provider = self.get_preferred_provider()[0]\n+ providers = [plugin.provider for plugin in search_plugins]\n+ if provider not in providers:\n logger.warning(\n \"Product type '%s' is not available with provider '%s'. \"\n \"Searching it on provider '%s' instead.\",\n product_type,\n- self.get_preferred_provider()[0],\n+ provider,\n search_plugins[0].provider,\n )\n else:\n+ provider_plugin = list(\n+ filter(lambda p: p.provider == provider, search_plugins)\n+ )[0]\n+ search_plugins.remove(provider_plugin)\n+ search_plugins.insert(0, provider_plugin)\n logger.info(\n \"Searching product type '%s' on provider: %s\",\n product_type,\n@@ -1440,9 +1466,6 @@ class EODataAccessGateway(object):\n # Remove the ID since this is equal to productType.\n search_plugin.config.product_type_config.pop(\"ID\", None)\n \n- logger.debug(\n- \"Using plugin class for search: %s\", search_plugin.__class__.__name__\n- )\n auth_plugin = self._plugins_manager.get_auth_plugin(search_plugin.provider)\n auth_plugins[search_plugin.provider] = auth_plugin\n \n@@ -1493,6 +1516,7 @@ class EODataAccessGateway(object):\n \n results = SearchResult([])\n total_results = 0\n+\n try:\n if \"auth\" in kwargs:\n if isinstance(kwargs[\"auth\"], dict):\n@@ -1586,6 +1610,7 @@ class EODataAccessGateway(object):\n pass\n else:\n eo_product.product_type = guesses[0]\n+\n if eo_product.search_intersection is not None:\n download_plugin = self._plugins_manager.get_download_plugin(\n eo_product\ndiff --git a/eodag/plugins/authentication/token.py b/eodag/plugins/authentication/token.py\nindex b1032426..377268c7 100644\n--- a/eodag/plugins/authentication/token.py\n+++ b/eodag/plugins/authentication/token.py\n@@ -15,19 +15,28 @@\n # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n # See the License for the specific language governing permissions and\n # limitations under the License.\n+import logging\n \n import requests\n from requests import RequestException\n+from requests.adapters import HTTPAdapter\n+from urllib3 import Retry\n \n from eodag.plugins.authentication.base import Authentication\n from eodag.utils import USER_AGENT, RequestsTokenAuth\n from eodag.utils.exceptions import AuthenticationError, MisconfiguredError\n from eodag.utils.stac_reader import HTTP_REQ_TIMEOUT\n \n+logger = logging.getLogger(\"eodag.authentication.token\")\n+\n \n class TokenAuth(Authentication):\n \"\"\"TokenAuth authentication plugin\"\"\"\n \n+ def __init__(self, provider, config):\n+ super(TokenAuth, self).__init__(provider, config)\n+ self.token = \"\"\n+\n def validate_config_credentials(self):\n \"\"\"Validate configured credentials\"\"\"\n super(TokenAuth, self).validate_config_credentials()\n@@ -56,10 +65,15 @@ class TokenAuth(Authentication):\n if hasattr(self.config, \"headers\")\n else {\"headers\": USER_AGENT}\n )\n+ s = requests.Session()\n+ retries = Retry(\n+ total=3, backoff_factor=2, status_forcelist=[401, 429, 500, 502, 503, 504]\n+ )\n+ s.mount(self.config.auth_uri, HTTPAdapter(max_retries=retries))\n try:\n # First get the token\n if getattr(self.config, \"request_method\", \"POST\") == \"POST\":\n- response = requests.post(\n+ response = s.post(\n self.config.auth_uri,\n data=self.config.credentials,\n timeout=HTTP_REQ_TIMEOUT,\n@@ -67,7 +81,7 @@ class TokenAuth(Authentication):\n )\n else:\n cred = self.config.credentials\n- response = requests.get(\n+ response = s.get(\n self.config.auth_uri,\n auth=(cred[\"username\"], cred[\"password\"]),\n timeout=HTTP_REQ_TIMEOUT,\n@@ -84,11 +98,21 @@ class TokenAuth(Authentication):\n token = response.json()[self.config.token_key]\n else:\n token = response.text\n+ headers = self._get_headers(token)\n+ self.token = token\n # Return auth class set with obtained token\n- return RequestsTokenAuth(token, \"header\", headers=self._get_headers(token))\n+ return RequestsTokenAuth(token, \"header\", headers=headers)\n \n def _get_headers(self, token):\n headers = self.config.headers\n if \"Authorization\" in headers and \"$\" in headers[\"Authorization\"]:\n headers[\"Authorization\"] = headers[\"Authorization\"].replace(\"$token\", token)\n+ if (\n+ self.token\n+ and token != self.token\n+ and self.token in headers[\"Authorization\"]\n+ ):\n+ headers[\"Authorization\"] = headers[\"Authorization\"].replace(\n+ self.token, token\n+ )\n return headers\ndiff --git a/eodag/plugins/download/base.py b/eodag/plugins/download/base.py\nindex dce4db23..1e040cef 100644\n--- a/eodag/plugins/download/base.py\n+++ b/eodag/plugins/download/base.py\n@@ -373,7 +373,7 @@ class Download(PluginTopic):\n shutil.move(extraction_dir, outputs_dir)\n \n elif fs_path.endswith(\".tar.gz\"):\n- with tarfile.open(fs_path, \"r:gz\") as zfile:\n+ with tarfile.open(fs_path, \"r\") as zfile:\n progress_callback.reset(total=1)\n zfile.extractall(path=extraction_dir)\n progress_callback(1)\ndiff --git a/eodag/plugins/search/data_request_search.py b/eodag/plugins/search/data_request_search.py\nindex 1f6c586e..0bf2b043 100644\n--- a/eodag/plugins/search/data_request_search.py\n+++ b/eodag/plugins/search/data_request_search.py\n@@ -11,6 +11,7 @@ from eodag.api.product.metadata_mapping import (\n )\n from eodag.plugins.search.base import Search\n from eodag.utils import GENERIC_PRODUCT_TYPE, string_to_jsonpath\n+from eodag.utils.exceptions import RequestError\n \n logger = logging.getLogger(\"eodag.search.data_request_search\")\n \n@@ -91,10 +92,9 @@ class DataRequestSearch(Search):\n metadata = requests.get(metadata_url, headers=headers)\n metadata.raise_for_status()\n except requests.RequestException:\n- logger.error(\n- \"metadata for product_type %s could not be retrieved\", product_type\n+ raise RequestError(\n+ f\"metadata for product_type {product_type} could not be retrieved\"\n )\n- raise\n else:\n try:\n url = self.config.data_request_url\n@@ -107,11 +107,8 @@ class DataRequestSearch(Search):\n request_job = requests.post(url, json=request_body, headers=headers)\n request_job.raise_for_status()\n except requests.RequestException as e:\n- logger.error(\n- \"search job for product_type %s could not be created: %s, %s\",\n- product_type,\n- str(e),\n- request_job.text,\n+ raise RequestError(\n+ f\"search job for product_type {product_type} could not be created: {str(e)}, {request_job.text}\"\n )\n else:\n logger.info(\"search job for product_type %s created\", product_type)\n@@ -122,13 +119,11 @@ class DataRequestSearch(Search):\n status_url = self.config.status_url + data_request_id\n status_data = requests.get(status_url, headers=self.auth.headers).json()\n if \"status_code\" in status_data and status_data[\"status_code\"] == 403:\n- logger.error(\"authentication token expired during request\")\n- raise requests.RequestException\n+ raise RequestError(\"authentication token expired during request\")\n if status_data[\"status\"] == \"failed\":\n- logger.error(\n- \"data request job has failed, message: %s\", status_data[\"message\"]\n+ raise RequestError(\n+ f\"data request job has failed, message: {status_data['message']}\"\n )\n- raise requests.RequestException\n return status_data[\"status\"] == \"completed\"\n \n def _get_result_data(self, data_request_id):\ndiff --git a/eodag/rest/server.py b/eodag/rest/server.py\nindex 0c9ecbda..57cc4381 100755\n--- a/eodag/rest/server.py\n+++ b/eodag/rest/server.py\n@@ -233,12 +233,13 @@ async def handle_resource_not_found(request: Request, error):\n \n @app.exception_handler(AuthenticationError)\n async def handle_auth_error(request: Request, error):\n- \"\"\"Unauthorized [401] errors handle\"\"\"\n+ \"\"\"AuthenticationError should be sent as internal server error to the client\"\"\"\n+ logger.error(f\"{type(error).__name__}: {str(error)}\")\n return await default_exception_handler(\n request,\n HTTPException(\n- status_code=401,\n- detail=f\"{type(error).__name__}: {str(error)}\",\n+ status_code=500,\n+ detail=\"Internal server error: please contact the administrator\",\n ),\n )\n \n@@ -409,12 +410,9 @@ def stac_collections_item_download(collection_id, item_id, request: Request):\n body = {}\n arguments = dict(request.query_params, **body)\n provider = arguments.pop(\"provider\", None)\n- zipped = \"True\"\n- if \"zip\" in arguments:\n- zipped = arguments[\"zip\"]\n \n return download_stac_item_by_id_stream(\n- catalogs=[collection_id], item_id=item_id, provider=provider, zip=zipped\n+ catalogs=[collection_id], item_id=item_id, provider=provider\n )\n \n \ndiff --git a/eodag/rest/stac.py b/eodag/rest/stac.py\nindex 6e8fcbe5..afbcbce1 100644\n--- a/eodag/rest/stac.py\n+++ b/eodag/rest/stac.py\n@@ -83,9 +83,6 @@ class StacCommon(object):\n \n self.data = {}\n \n- if self.provider and self.eodag_api.get_preferred_provider() != self.provider:\n- self.eodag_api.set_preferred_provider(self.provider)\n-\n def update_data(self, data):\n \"\"\"Updates data using given input STAC dict data\n \ndiff --git a/eodag/rest/utils.py b/eodag/rest/utils.py\nindex afa872ae..8fbda850 100644\n--- a/eodag/rest/utils.py\n+++ b/eodag/rest/utils.py\n@@ -393,6 +393,10 @@ def search_products(product_type, arguments, stac_formatted=True):\n \n try:\n arg_product_type = arguments.pop(\"product_type\", None)\n+ provider = arguments.pop(\"provider\", None)\n+ if not provider:\n+ provider = eodag_api.get_preferred_provider()[0]\n+\n unserialized = arguments.pop(\"unserialized\", None)\n \n page, items_per_page = get_pagination_info(arguments)\n@@ -407,6 +411,7 @@ def search_products(product_type, arguments, stac_formatted=True):\n \"start\": dtstart,\n \"end\": dtend,\n \"geom\": geom,\n+ \"provider\": provider,\n }\n \n if stac_formatted:\n@@ -455,20 +460,24 @@ def search_products(product_type, arguments, stac_formatted=True):\n return response\n \n \n-def search_product_by_id(uid, product_type=None):\n+def search_product_by_id(uid, product_type=None, provider=None):\n \"\"\"Search a product by its id\n \n :param uid: The uid of the EO product\n :type uid: str\n :param product_type: (optional) The product type\n :type product_type: str\n+ :param provider: (optional) The provider to be used\n+ :type provider: str\n :returns: A search result\n :rtype: :class:`~eodag.api.search_result.SearchResult`\n :raises: :class:`~eodag.utils.exceptions.ValidationError`\n :raises: RuntimeError\n \"\"\"\n try:\n- products, total = eodag_api.search(id=uid, productType=product_type)\n+ products, total = eodag_api.search(\n+ id=uid, productType=product_type, provider=provider\n+ )\n return products\n except ValidationError:\n raise\n@@ -573,7 +582,7 @@ def get_stac_item_by_id(url, item_id, catalogs, root=\"/\", provider=None):\n return None\n \n \n-def download_stac_item_by_id_stream(catalogs, item_id, provider=None, zip=\"True\"):\n+def download_stac_item_by_id_stream(catalogs, item_id, provider=None):\n \"\"\"Download item\n \n :param catalogs: Catalogs list (only first is used as product_type)\n@@ -587,17 +596,16 @@ def download_stac_item_by_id_stream(catalogs, item_id, provider=None, zip=\"True\"\n :returns: a stream of the downloaded data (either as a zip or the individual assets)\n :rtype: StreamingResponse\n \"\"\"\n- if provider:\n- eodag_api.set_preferred_provider(provider)\n-\n- product = search_product_by_id(item_id, product_type=catalogs[0])[0]\n-\n+ product = search_product_by_id(\n+ item_id, product_type=catalogs[0], provider=provider\n+ )[0]\n if product.downloader is None:\n download_plugin = eodag_api._plugins_manager.get_download_plugin(product)\n auth_plugin = eodag_api._plugins_manager.get_auth_plugin(\n download_plugin.provider\n )\n product.register_downloader(download_plugin, auth_plugin)\n+\n auth = (\n product.downloader_auth.authenticate()\n if product.downloader_auth is not None\n@@ -664,7 +672,7 @@ def get_stac_catalogs(url, root=\"/\", catalogs=[], provider=None, fetch_providers\n :param fetch_providers: (optional) Whether to fetch providers for new product\n types or not\n :type fetch_providers: bool\n- :returns: Catalog dictionnary\n+ :returns: Catalog dictionary\n :rtype: dict\n \"\"\"\n return StacCatalog(\n@@ -734,10 +742,10 @@ def search_stac_items(url, arguments, root=\"/\", catalogs=[], provider=None):\n ids = [ids]\n if ids:\n search_results = SearchResult([])\n- if provider:\n- eodag_api.set_preferred_provider(provider)\n for item_id in ids:\n- found_products = search_product_by_id(item_id, product_type=collections[0])\n+ found_products = search_product_by_id(\n+ item_id, product_type=collections[0], provider=provider\n+ )\n if len(found_products) == 1:\n search_results.extend(found_products)\n search_results.properties = {\n@@ -769,7 +777,9 @@ def search_stac_items(url, arguments, root=\"/\", catalogs=[], provider=None):\n arguments.pop(\"datetime\")\n \n search_products_arguments = dict(\n- arguments, **result_catalog.search_args, **{\"unserialized\": \"true\"}\n+ arguments,\n+ **result_catalog.search_args,\n+ **{\"unserialized\": \"true\", \"provider\": provider},\n )\n \n # check if time filtering appears twice\n@@ -825,7 +835,6 @@ def search_stac_items(url, arguments, root=\"/\", catalogs=[], provider=None):\n **{\"url\": result_catalog.url, \"root\": result_catalog.root},\n ),\n )\n-\n search_results = search_products(\n product_type=result_catalog.search_args[\"product_type\"],\n arguments=search_products_arguments,\n"},"problem_statement":{"kind":"string","value":"[eodag-server] setting provider parameter in a request, default this provider as preferred for future requests\n**Describe the bug**\r\nA clear and concise description of what the bug is.\r\n\r\nYou first request a product type from a specific provider to EODAG Server.\r\nThis provider is set as the preferred one for all future requests to this EODAG Server instance.\r\n\r\nSetting the provider parameter in requests should not impact the preferred provider defined in the configuration.\r\n\r\n**Code To Reproduce**\r\nWe assume the default provider is not set to WEkEO but another one like PEPS\r\n\r\n1. Request using the default provider\r\n ```shell\r\n curl http://localhost:8000/search?collections=S1_SAR_GRD\r\n ```\r\n\r\n3. Request specifying a custom provider\r\n ```shell\r\n curl http://localhost:8000/search?collections=S1_SAR_GRD&provider=wekeo\r\n ```\r\n\r\n4. Request without specifying a provider\r\n ```shell\r\n curl http://localhost:8000/search?collections=S1_SAR_GRD\r\n ```\r\n\r\nThe 3rd request use the same provider as the 2nd (a.k.a WEkEO)\r\n\r\n**Additional context**\r\n\r\nThis behavior is caused by\r\n\r\n```python\r\n# https://github.com/CS-SI/eodag/blob/develop/eodag/rest/stac.py#L86-L87\r\n\r\n if self.provider and self.eodag_api.get_preferred_provider() != self.provider:\r\n self.eodag_api.set_preferred_provider(self.provider)\r\n```\r\n\r\nIt has been introduced in commit: https://github.com/CS-SI/eodag/commit/05b24fc692cc5b55400ed8339b638b1eafe4d0e9\r\n\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/integration/test_core_search_results.py b/tests/integration/test_core_search_results.py\nindex 8d94a465..1fff5fe7 100644\n--- a/tests/integration/test_core_search_results.py\n+++ b/tests/integration/test_core_search_results.py\n@@ -264,3 +264,23 @@ class TestCoreSearchResults(EODagTestCase):\n for search_result in search_results:\n self.assertIsInstance(search_result.downloader, PluginTopic)\n self.assertIsInstance(search_result.downloader_auth, PluginTopic)\n+\n+ @mock.patch(\n+ \"eodag.plugins.search.qssearch.QueryStringSearch.do_search\",\n+ autospec=True,\n+ )\n+ def test_core_search_with_provider(self, mock_query):\n+ \"\"\"The core api must register search results downloaders\"\"\"\n+ self.dag.set_preferred_provider(\"creodias\")\n+ search_results_file = os.path.join(\n+ TEST_RESOURCES_PATH, \"provider_responses/peps_search.json\"\n+ )\n+ with open(search_results_file, encoding=\"utf-8\") as f:\n+ search_results_peps = json.load(f)\n+\n+ mock_query.return_value = search_results_peps[\"features\"]\n+ search_results, count = self.dag.search(\n+ productType=\"S2_MSI_L1C\", provider=\"peps\"\n+ )\n+ # use given provider and not preferred provider\n+ self.assertEqual(\"peps\", search_results[0].provider)\ndiff --git a/tests/units/test_auth_plugins.py b/tests/units/test_auth_plugins.py\nindex 93c8d71d..70cf6c2d 100644\n--- a/tests/units/test_auth_plugins.py\n+++ b/tests/units/test_auth_plugins.py\n@@ -129,7 +129,9 @@ class TestAuthPluginTokenAuth(BaseAuthPluginTest):\n auth_plugin.config.credentials = {\"foo\": \"bar\", \"username\": \"john\"}\n auth_plugin.validate_config_credentials()\n \n- @mock.patch(\"eodag.plugins.authentication.token.requests.post\", autospec=True)\n+ @mock.patch(\n+ \"eodag.plugins.authentication.token.requests.Session.post\", autospec=True\n+ )\n def test_plugins_auth_tokenauth_text_token_authenticate(self, mock_requests_post):\n \"\"\"TokenAuth.authenticate must return a RequestsTokenAuth object using text token\"\"\"\n auth_plugin = self.get_auth_plugin(\"provider_text_token_header\")\n@@ -146,7 +148,7 @@ class TestAuthPluginTokenAuth(BaseAuthPluginTest):\n \n # check token post request call arguments\n args, kwargs = mock_requests_post.call_args\n- assert args[0] == auth_plugin.config.auth_uri\n+ assert args[1] == auth_plugin.config.auth_uri\n assert kwargs[\"data\"] == auth_plugin.config.credentials\n assert kwargs[\"headers\"] == dict(auth_plugin.config.headers, **USER_AGENT)\n \n@@ -156,7 +158,9 @@ class TestAuthPluginTokenAuth(BaseAuthPluginTest):\n assert req.headers[\"Authorization\"] == \"Bearer this_is_test_token\"\n assert req.headers[\"foo\"] == \"bar\"\n \n- @mock.patch(\"eodag.plugins.authentication.token.requests.post\", autospec=True)\n+ @mock.patch(\n+ \"eodag.plugins.authentication.token.requests.Session.post\", autospec=True\n+ )\n def test_plugins_auth_tokenauth_json_token_authenticate(self, mock_requests_post):\n \"\"\"TokenAuth.authenticate must return a RequestsTokenAuth object using json token\"\"\"\n auth_plugin = self.get_auth_plugin(\"provider_json_token_simple_url\")\n@@ -179,7 +183,9 @@ class TestAuthPluginTokenAuth(BaseAuthPluginTest):\n auth(req)\n assert req.headers[\"Authorization\"] == \"Bearer this_is_test_token\"\n \n- @mock.patch(\"eodag.plugins.authentication.token.requests.post\", autospec=True)\n+ @mock.patch(\n+ \"eodag.plugins.authentication.token.requests.Session.post\", autospec=True\n+ )\n def test_plugins_auth_tokenauth_request_error(self, mock_requests_post):\n \"\"\"TokenAuth.authenticate must raise an AuthenticationError if a request error occurs\"\"\"\n auth_plugin = self.get_auth_plugin(\"provider_json_token_simple_url\")\ndiff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex 092beac5..c3b4347e 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -1292,7 +1292,7 @@ class TestCoreSearch(TestCoreBase):\n \"\"\"_prepare_search must handle a search by id\"\"\"\n base = {\"id\": \"dummy-id\", \"provider\": \"creodias\"}\n prepared_search = self.dag._prepare_search(**base)\n- expected = base\n+ expected = {\"id\": \"dummy-id\"}\n self.assertDictEqual(expected, prepared_search)\n \n def test__prepare_search_preserve_additional_kwargs(self):\ndiff --git a/tests/units/test_http_server.py b/tests/units/test_http_server.py\nindex d1a8a9aa..9a144cd8 100644\n--- a/tests/units/test_http_server.py\n+++ b/tests/units/test_http_server.py\n@@ -317,6 +317,7 @@ class RequestTestCase(unittest.TestCase):\n self._request_valid(\n f\"search?collections={self.tested_product_type}\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -326,6 +327,7 @@ class RequestTestCase(unittest.TestCase):\n self._request_valid(\n f\"search?collections={self.tested_product_type}&bbox=0,43,1,44\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -344,22 +346,26 @@ class RequestTestCase(unittest.TestCase):\n side_effect=AuthenticationError(\"you are no authorized\"),\n )\n def test_auth_error(self, mock_search):\n- \"\"\"A request to eodag server raising a Authentication error must return a 401 HTTP error code\"\"\"\n- response = self.app.get(\n- f\"search?collections={self.tested_product_type}\", follow_redirects=True\n- )\n- response_content = json.loads(response.content.decode(\"utf-8\"))\n+ \"\"\"A request to eodag server raising a Authentication error must return a 500 HTTP error code\"\"\"\n \n- self.assertEqual(401, response.status_code)\n- self.assertIn(\"description\", response_content)\n- self.assertIn(\"AuthenticationError\", response_content[\"description\"])\n- self.assertIn(\"you are no authorized\", response_content[\"description\"])\n+ with self.assertLogs(level=\"ERROR\") as cm_logs:\n+ response = self.app.get(\n+ f\"search?collections={self.tested_product_type}\", follow_redirects=True\n+ )\n+ response_content = json.loads(response.content.decode(\"utf-8\"))\n+\n+ self.assertIn(\"description\", response_content)\n+ self.assertIn(\"AuthenticationError\", str(cm_logs.output))\n+ self.assertIn(\"you are no authorized\", str(cm_logs.output))\n+\n+ self.assertEqual(500, response.status_code)\n \n def test_filter(self):\n \"\"\"latestIntersect filter should only keep the latest products once search area is fully covered\"\"\"\n result1 = self._request_valid(\n f\"search?collections={self.tested_product_type}&bbox=89.65,2.65,89.7,2.7\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -371,6 +377,7 @@ class RequestTestCase(unittest.TestCase):\n result2 = self._request_valid(\n f\"search?collections={self.tested_product_type}&bbox=89.65,2.65,89.7,2.7&filter=latestIntersect\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -386,6 +393,7 @@ class RequestTestCase(unittest.TestCase):\n self._request_valid(\n f\"search?collections={self.tested_product_type}&bbox=0,43,1,44&datetime=2018-01-20/2018-01-25\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -401,6 +409,7 @@ class RequestTestCase(unittest.TestCase):\n self._request_valid(\n f\"collections/{self.tested_product_type}/items?bbox=0,43,1,44\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -411,6 +420,7 @@ class RequestTestCase(unittest.TestCase):\n self._request_valid(\n f\"collections/{self.tested_product_type}/items?bbox=0,43,1,44&datetime=2018-01-20/2018-01-25\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -426,6 +436,7 @@ class RequestTestCase(unittest.TestCase):\n results = self._request_valid(\n f\"catalogs/{self.tested_product_type}/year/2018/month/01/items?bbox=0,43,1,44\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -441,6 +452,7 @@ class RequestTestCase(unittest.TestCase):\n f\"catalogs/{self.tested_product_type}/year/2018/month/01/items\"\n \"?bbox=0,43,1,44&datetime=2018-01-20/2018-01-25\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -456,6 +468,7 @@ class RequestTestCase(unittest.TestCase):\n f\"catalogs/{self.tested_product_type}/year/2018/month/01/items\"\n \"?bbox=0,43,1,44&datetime=2018-01-20/2019-01-01\",\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\n@@ -489,6 +502,7 @@ class RequestTestCase(unittest.TestCase):\n f\"catalogs/{self.tested_product_type}/items/foo\",\n expected_search_kwargs={\n \"id\": \"foo\",\n+ \"provider\": None,\n \"productType\": self.tested_product_type,\n },\n )\n@@ -499,6 +513,7 @@ class RequestTestCase(unittest.TestCase):\n f\"collections/{self.tested_product_type}/items/foo\",\n expected_search_kwargs={\n \"id\": \"foo\",\n+ \"provider\": None,\n \"productType\": self.tested_product_type,\n },\n )\n@@ -521,6 +536,7 @@ class RequestTestCase(unittest.TestCase):\n \"query\": {\"eo:cloud_cover\": {\"lte\": 10}},\n },\n expected_search_kwargs=dict(\n+ provider=\"peps\",\n productType=self.tested_product_type,\n page=1,\n items_per_page=DEFAULT_ITEMS_PER_PAGE,\ndiff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py\nindex 9e09dc6f..9d99ea9f 100644\n--- a/tests/units/test_search_plugins.py\n+++ b/tests/units/test_search_plugins.py\n@@ -22,7 +22,6 @@ import unittest\n from pathlib import Path\n from unittest import mock\n \n-import requests\n import responses\n from requests import RequestException\n \n@@ -936,10 +935,11 @@ class MockResponse:\n \n \n class TestSearchPluginDataRequestSearch(BaseSearchPluginTest):\n- @mock.patch(\"eodag.plugins.authentication.token.requests.get\", autospec=True)\n+ @mock.patch(\n+ \"eodag.plugins.authentication.token.requests.Session.get\", autospec=True\n+ )\n def setUp(self, mock_requests_get):\n \n- # One of the providers that has a BuildPostSearchResult Search plugin\n provider = \"wekeo\"\n self.search_plugin = self.get_search_plugin(self.product_type, provider)\n self.auth_plugin = self.get_auth_plugin(provider)\n@@ -973,7 +973,7 @@ class TestSearchPluginDataRequestSearch(BaseSearchPluginTest):\n mock_requests_get.return_value = MockResponse(\n {\"status\": \"failed\", \"message\": \"failed\"}, 500\n )\n- with self.assertRaises(requests.RequestException):\n+ with self.assertRaises(RequestError):\n self.search_plugin._check_request_status(\"123\")\n \n @mock.patch(\"eodag.plugins.search.data_request_search.requests.get\", autospec=True)\ndiff --git a/tests/units/test_stac_utils.py b/tests/units/test_stac_utils.py\nindex 0c8f618d..50ea9dff 100644\n--- a/tests/units/test_stac_utils.py\n+++ b/tests/units/test_stac_utils.py\n@@ -447,6 +447,7 @@ class TestStacUtils(unittest.TestCase):\n mock__request.return_value.json.return_value = (\n self.earth_search_resp_search_json\n )\n+ self.rest_utils.eodag_api.set_preferred_provider(\"peps\")\n \n response = self.rest_utils.search_stac_items(\n url=\"http://foo/search\",\n@@ -467,6 +468,8 @@ class TestStacUtils(unittest.TestCase):\n \"assets\"\n ].items():\n self.assertIn((k, v), response[\"features\"][0][\"assets\"].items())\n+ # preferred provider should not be changed\n+ self.assertEqual(\"peps\", self.rest_utils.eodag_api.get_preferred_provider()[0])\n \n @mock.patch(\n \"eodag.plugins.search.qssearch.QueryStringSearch._request\",\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 1,\n \"test_score\": 2\n },\n \"num_modified_files\": 7\n}"},"version":{"kind":"string","value":"2.11"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"tox\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e 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\"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_catalog\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_collection\",\n \"tests/units/test_search_plugins.py::TestSearchPluginDataRequestSearch::test_plugins_check_request_status\",\n \"tests/units/test_search_plugins.py::TestSearchPluginDataRequestSearch::test_plugins_create_data_request\",\n \"tests/units/test_search_plugins.py::TestSearchPluginDataRequestSearch::test_plugins_get_result_data\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_with_stac_providers\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":["tests/units/test_stac_utils.py::TestStacUtils::test_get_arguments_query_paths","tests/units/test_stac_utils.py::TestStacUtils::test_get_metadata_query_paths"],"string":"[\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_arguments_query_paths\",\n 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\"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_known_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_unknown_product_type\",\n \"tests/units/test_core.py::TestCoreSearch::test__search_by_id\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_without_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_must_collect_them_all\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_request_error\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_unknown_product_type\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_default_value\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_max_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_request_error\",\n \"tests/units/test_core.py::TestCoreDownload::test_download_local_product\",\n \"tests/units/test_http_server.py::RequestTestCase::test_catalog_browse\",\n \"tests/units/test_http_server.py::RequestTestCase::test_collection\",\n \"tests/units/test_http_server.py::RequestTestCase::test_conformance\",\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_catalog\",\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_api_plugin\",\n \"tests/units/test_http_server.py::RequestTestCase::test_forward\",\n \"tests/units/test_http_server.py::RequestTestCase::test_ids_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_nok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_ok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_not_found\",\n \"tests/units/test_http_server.py::RequestTestCase::test_route\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_provider_in_downloadlink\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_response_contains_pagination_info\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_desc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_doc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_stac_extension_oseo\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearchXml::test_plugins_search_querystringseach_xml_count_and_search_mundi\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearchXml::test_plugins_search_querystringseach_xml_no_count_and_search_mundi\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_peps\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types_keywords\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_peps\",\n \"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_search_cloudcover_peps\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_no_count_and_search_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_request_auth_error\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_request_error\",\n \"tests/units/test_search_plugins.py::TestSearchPluginPostJsonSearch::test_plugins_search_postjsonsearch_search_cloudcover_awseos\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda_per_product_metadata_query\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda_per_product_metadata_query_request_error\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_normalize_results_onda\",\n \"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_search_cloudcover_onda\",\n \"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_default_geometry\",\n \"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch\",\n \"tests/units/test_search_plugins.py::TestSearchPluginBuildPostSearchResult::test_plugins_search_buildpostsearchresult_count_and_search\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_detailled_collections_list\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_filter_misuse_raise_error\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_missing_additional_parameters_raise_error\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_unknown_cruncher_raise_error\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_format_product_types\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_criterias_from_metadata_mapping\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_date\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_datetime\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_geometry\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_int\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_pagination_info\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_product_types\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_catalogs\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_collection_by_id\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_collections\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_conformance\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_extension_oseo\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_item_by_id\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_templates_path\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_home_page_content\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_bbox\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_product_by_id\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_products\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_with_non_stac_providers\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":483,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-795"},"base_commit":{"kind":"string","value":"2eb52b8300e3859712c74412a97d15181865ce97"},"created_at":{"kind":"string","value":"2023-08-25 08:21:36"},"environment_setup_commit":{"kind":"string","value":"49209ff081784ca7d31121899ce1eb8eda7d294c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 2 files - 2 2 suites - 2 2m 28s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"duration of all tests\") - 3m 1s\n406 tests + 3 348 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"passed tests\") - 53 2 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"skipped / disabled tests\") ± 0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"failed tests\") ±0 56 [:fire:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"test errors\") +56 \n812 runs - 800 752 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"passed tests\") - 800 4 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"skipped / disabled tests\") - 56 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"failed tests\") ±0 56 [:fire:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols \"test errors\") +56 \n\nFor more details on these errors, see [this check](https://github.com/CS-SI/eodag/runs/16206301337).\n\nResults for commit a986c1a4. ± Comparison against base commit 90627560.\n\n[test-results]:data:application/gzip;base64,H4sIAGNl6GQC/1WMyw6DIBQFf8Ww7gIQEPszBi+QkKo0PFZN/73X+mqXM+dkXsSHyWVyb/itIbmGcoKtyZQQF0QmNAqcyjoKqg4acgVA1V6HIT/Cc09swpswoaCncCnFhEaunVSXNaoZ3+FodvIyW1Ic/FP88l8Q4jyHgkRMrxUwI2CUngJXVksYWWeV9Zb3VDNhKGu9I+8PpTUEkgcBAAA=\n\ngithub-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against a986c1a4cb5f0c26d85cb17d6dfd290814a013fe </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `32%` | :x: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against a986c1a4cb5f0c26d85cb17d6dfd290814a013fe </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/rest/server.py b/eodag/rest/server.py\nindex 57cc4381..541da3a8 100755\n--- a/eodag/rest/server.py\n+++ b/eodag/rest/server.py\n@@ -18,11 +18,12 @@\n import io\n import logging\n import os\n+import re\n import traceback\n from contextlib import asynccontextmanager\n from distutils import dist\n from json.decoder import JSONDecodeError\n-from typing import List, Union\n+from typing import List, Optional, Union\n \n import pkg_resources\n from fastapi import APIRouter as FastAPIRouter\n@@ -37,8 +38,11 @@ from starlette.exceptions import HTTPException as StarletteHTTPException\n \n from eodag.config import load_stac_api_config\n from eodag.rest.utils import (\n+ QueryableProperty,\n+ Queryables,\n download_stac_item_by_id_stream,\n eodag_api_init,\n+ fetch_collection_queryable_properties,\n get_detailled_collections_list,\n get_stac_api_version,\n get_stac_catalogs,\n@@ -61,6 +65,7 @@ from eodag.utils.exceptions import (\n )\n \n logger = logging.getLogger(\"eodag.rest.server\")\n+CAMEL_TO_SPACE_TITLED = re.compile(r\"[:_-]|(?<=[a-z])(?=[A-Z])\")\n \n \n class APIRouter(FastAPIRouter):\n@@ -595,4 +600,57 @@ async def stac_catalogs(catalogs, request: Request):\n return jsonable_encoder(response)\n \n \n+@router.get(\"/queryables\", tags=[\"Capabilities\"], response_model_exclude_none=True)\n+def list_queryables(request: Request) -> Queryables:\n+ \"\"\"Returns the list of terms available for use when writing filter expressions.\n+\n+ This endpoint provides a list of terms that can be used as filters when querying\n+ the data. These terms correspond to properties that can be filtered using comparison\n+ operators.\n+\n+ :param request: The incoming request object.\n+ :type request: fastapi.Request\n+ :returns: An object containing the list of available queryable terms.\n+ :rtype: eodag.rest.utils.Queryables\n+ \"\"\"\n+\n+ return Queryables(q_id=request.state.url)\n+\n+\n+@router.get(\n+ \"/collections/{collection_id}/queryables\",\n+ tags=[\"Capabilities\"],\n+ response_model_exclude_none=True,\n+)\n+def list_collection_queryables(\n+ request: Request, collection_id: str, provider: Optional[str] = None\n+) -> Queryables:\n+ \"\"\"Returns the list of queryable properties for a specific collection.\n+\n+ This endpoint provides a list of properties that can be used as filters when querying\n+ the specified collection. These properties correspond to characteristics of the data\n+ that can be filtered using comparison operators.\n+\n+ :param request: The incoming request object.\n+ :type request: fastapi.Request\n+ :param collection_id: The identifier of the collection for which to retrieve queryable properties.\n+ :type collection_id: str\n+ :param provider: (optional) The provider for which to retrieve additional properties.\n+ :type provider: str\n+ :returns: An object containing the list of available queryable properties for the specified collection.\n+ :rtype: eodag.rest.utils.Queryables\n+ \"\"\"\n+\n+ queryables = Queryables(q_id=request.state.url, additional_properties=False)\n+ conf_args = [collection_id, provider] if provider else [collection_id]\n+\n+ provider_properties = set(fetch_collection_queryable_properties(*conf_args))\n+\n+ for prop in provider_properties:\n+ titled_name = re.sub(CAMEL_TO_SPACE_TITLED, \" \", prop).title()\n+ queryables[prop] = QueryableProperty(description=titled_name)\n+\n+ return queryables\n+\n+\n app.include_router(router)\ndiff --git a/eodag/rest/utils.py b/eodag/rest/utils.py\nindex 8fbda850..76ab874c 100644\n--- a/eodag/rest/utils.py\n+++ b/eodag/rest/utils.py\n@@ -9,10 +9,12 @@ import os\n import re\n from collections import namedtuple\n from shutil import make_archive, rmtree\n+from typing import Dict, Optional\n \n import dateutil.parser\n from dateutil import tz\n from fastapi.responses import StreamingResponse\n+from pydantic import BaseModel, Field\n from shapely.geometry import Polygon, shape\n \n import eodag\n@@ -145,7 +147,6 @@ def search_bbox(request_bbox):\n search_bbox_keys = [\"lonmin\", \"latmin\", \"lonmax\", \"latmax\"]\n \n if request_bbox:\n-\n try:\n request_bbox_list = [float(coord) for coord in request_bbox.split(\",\")]\n except ValueError as e:\n@@ -883,6 +884,135 @@ def get_stac_extension_oseo(url):\n )\n \n \n+class QueryableProperty(BaseModel):\n+ \"\"\"A class representing a queryable property.\n+\n+ :param description: The description of the queryables property\n+ :type description: str\n+ :param ref: (optional) A reference link to the schema of the property.\n+ :type ref: str\n+ \"\"\"\n+\n+ description: str\n+ ref: Optional[str] = Field(default=None, serialization_alias=\"$ref\")\n+\n+\n+class Queryables(BaseModel):\n+ \"\"\"A class representing queryable properties for the STAC API.\n+\n+ :param json_schema: The URL of the JSON schema.\n+ :type json_schema: str\n+ :param q_id: (optional) The identifier of the queryables.\n+ :type q_id: str\n+ :param q_type: The type of the object.\n+ :type q_type: str\n+ :param title: The title of the queryables.\n+ :type title: str\n+ :param description: The description of the queryables\n+ :type description: str\n+ :param properties: A dictionary of queryable properties.\n+ :type properties: dict\n+ :param additional_properties: Whether additional properties are allowed.\n+ :type additional_properties: bool\n+ \"\"\"\n+\n+ json_schema: str = Field(\n+ default=\"https://json-schema.org/draft/2019-09/schema\",\n+ serialization_alias=\"$schema\",\n+ )\n+ q_id: Optional[str] = Field(default=None, serialization_alias=\"$id\")\n+ q_type: str = Field(default=\"object\", serialization_alias=\"type\")\n+ title: str = Field(default=\"Queryables for EODAG STAC API\")\n+ description: str = Field(\n+ default=\"Queryable names for the EODAG STAC API Item Search filter.\"\n+ )\n+ properties: Dict[str, QueryableProperty] = Field(\n+ default={\n+ \"id\": QueryableProperty(\n+ description=\"ID\",\n+ ref=\"https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json#/id\",\n+ ),\n+ \"collection\": QueryableProperty(\n+ description=\"Collection\",\n+ ref=\"https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json#/collection\",\n+ ),\n+ \"geometry\": QueryableProperty(\n+ description=\"Geometry\",\n+ ref=\"https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json#/geometry\",\n+ ),\n+ \"bbox\": QueryableProperty(\n+ description=\"Bbox\",\n+ ref=\"https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json#/bbox\",\n+ ),\n+ \"datetime\": QueryableProperty(\n+ description=\"Datetime\",\n+ ref=\"https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/datetime.json#/properties/datetime\",\n+ ),\n+ \"ids\": QueryableProperty(description=\"IDs\"),\n+ }\n+ )\n+ additional_properties: bool = Field(\n+ default=True, serialization_alias=\"additionalProperties\"\n+ )\n+\n+ def get_properties(self) -> Dict[str, QueryableProperty]:\n+ \"\"\"Get the queryable properties.\n+\n+ :returns: A dictionary containing queryable properties.\n+ :rtype: typing.Dict[str, QueryableProperty]\n+ \"\"\"\n+ return self.properties\n+\n+ def __contains__(self, name: str):\n+ return name in self.properties\n+\n+ def __setitem__(self, name: str, qprop: QueryableProperty):\n+ self.properties[name] = qprop\n+\n+\n+def rename_to_stac_standard(key: str) -> str:\n+ \"\"\"Fetch the queryable properties for a collection.\n+\n+ :param key: The camelCase key name obtained from a collection's metadata mapping.\n+ :type key: str\n+ :returns: The STAC-standardized property name if it exists, else the default camelCase queryable name\n+ :rtype: str\n+ \"\"\"\n+ # Load the stac config properties for renaming the properties\n+ # to their STAC standard\n+ stac_config_properties = stac_config[\"item\"][\"properties\"]\n+\n+ for stac_property, value in stac_config_properties.items():\n+ if str(value).endswith(key):\n+ return stac_property\n+ return key\n+\n+\n+def fetch_collection_queryable_properties(\n+ collection_id: str, provider: Optional[str] = None\n+) -> set:\n+ \"\"\"Fetch the queryable properties for a collection.\n+\n+ :param collection_id: The ID of the collection.\n+ :type collection_id: str\n+ :param provider: (optional) The provider.\n+ :type provider: str\n+ :returns queryable_properties: A set containing the STAC standardized queryable properties for a collection.\n+ :rtype queryable_properties: set\n+ \"\"\"\n+ # Fetch the metadata mapping for collection-specific queryables\n+ args = [collection_id, provider] if provider else [collection_id]\n+ search_plugin = next(eodag_api._plugins_manager.get_search_plugins(*args))\n+ mapping = dict(search_plugin.config.metadata_mapping)\n+\n+ # list of all the STAC standardized collection-specific queryables\n+ queryable_properties = set()\n+ for key, value in mapping.items():\n+ if isinstance(value, list) and \"TimeFromAscendingNode\" not in key:\n+ queryable_properties.add(rename_to_stac_standard(key))\n+ return queryable_properties\n+\n+\n def eodag_api_init():\n \"\"\"Init EODataAccessGateway server instance, pre-running all time consuming tasks\"\"\"\n eodag_api.fetch_product_types_list()\n"},"problem_statement":{"kind":"string","value":"server mode queryables\nAdd queryables, available through `/queryables` and `/collections/<PRODUCT_TYPE>/queryables`.\r\n\r\nSee https://github.com/radiantearth/stac-api-spec/blob/master/fragments/filter/README.md#queryables for documentation and https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-2-l2a/queryables for an example.\r\n\r\n- `/queryables` should be minimal\r\n- `/collections/<PRODUCT_TYPE>/queryables` should be build using product type queryable parameters from `providers.yml`\r\n\r\n\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_http_server.py b/tests/units/test_http_server.py\nindex 9a144cd8..8cfe0926 100644\n--- a/tests/units/test_http_server.py\n+++ b/tests/units/test_http_server.py\n@@ -760,3 +760,18 @@ class RequestTestCase(unittest.TestCase):\n response = self._request_valid(\"/extensions/oseo/json-schema/schema.json\")\n self.assertEqual(response[\"title\"], \"OpenSearch for Earth Observation\")\n self.assertEqual(response[\"allOf\"][0][\"$ref\"], \"#/definitions/oseo\")\n+\n+ def test_queryables(self):\n+ \"\"\"Request to /queryables should return a valid response.\"\"\"\n+ self._request_valid(\"queryables\")\n+\n+ def test_product_type_queryables(self):\n+ \"\"\"Request to /collections/{collection_id}/queryables should return a valid response.\"\"\"\n+ self._request_valid(f\"collections/{self.tested_product_type}/queryables\")\n+\n+ def test_product_type_queryables_with_provider(self):\n+ \"\"\"Request a collection-specific list of queryables for a given provider.\"\"\"\n+\n+ self._request_valid(\n+ f\"collections/{self.tested_product_type}/queryables?provider=peps\"\n+ )\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 1,\n \"test_score\": 2\n },\n \"num_modified_files\": 2\n}"},"version":{"kind":"string","value":"2.11"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-mock\",\n \"pytest-asyncio\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@2eb52b8300e3859712c74412a97d15181865ce97#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.7.0\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npycryptodome==3.22.0\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.1\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-ftp==0.3.1\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nstarlette==0.46.1\nstream-zip==0.0.83\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.11.0b2.dev8+g2eb52b83\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.7.0\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pycryptodome==3.22.0\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.1\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-ftp==0.3.1\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - shellingham==1.5.4\n - six==1.17.0\n - sniffio==1.3.1\n - starlette==0.46.1\n - stream-zip==0.0.83\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typer==0.15.2\n - typing-extensions==4.13.0\n - typing-inspection==0.4.0\n - tzdata==2025.2\n - ujson==5.10.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - uvicorn==0.34.0\n - uvloop==0.21.0\n - virtualenv==20.29.3\n - watchfiles==1.0.4\n - websockets==15.0.1\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_http_server.py::RequestTestCase::test_product_type_queryables","tests/units/test_http_server.py::RequestTestCase::test_product_type_queryables_with_provider","tests/units/test_http_server.py::RequestTestCase::test_queryables"],"string":"[\n \"tests/units/test_http_server.py::RequestTestCase::test_product_type_queryables\",\n \"tests/units/test_http_server.py::RequestTestCase::test_product_type_queryables_with_provider\",\n \"tests/units/test_http_server.py::RequestTestCase::test_queryables\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_http_server.py::RequestTestCase::test_auth_error","tests/units/test_http_server.py::RequestTestCase::test_catalog_browse","tests/units/test_http_server.py::RequestTestCase::test_cloud_cover_post_search","tests/units/test_http_server.py::RequestTestCase::test_collection","tests/units/test_http_server.py::RequestTestCase::test_conformance","tests/units/test_http_server.py::RequestTestCase::test_date_search","tests/units/test_http_server.py::RequestTestCase::test_date_search_from_catalog_items","tests/units/test_http_server.py::RequestTestCase::test_date_search_from_items","tests/units/test_http_server.py::RequestTestCase::test_download_item_from_catalog","tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_api_plugin","tests/units/test_http_server.py::RequestTestCase::test_filter","tests/units/test_http_server.py::RequestTestCase::test_forward","tests/units/test_http_server.py::RequestTestCase::test_ids_post_search","tests/units/test_http_server.py::RequestTestCase::test_list_product_types_nok","tests/units/test_http_server.py::RequestTestCase::test_list_product_types_ok","tests/units/test_http_server.py::RequestTestCase::test_not_found","tests/units/test_http_server.py::RequestTestCase::test_request_params","tests/units/test_http_server.py::RequestTestCase::test_route","tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_catalog","tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_collection","tests/units/test_http_server.py::RequestTestCase::test_search_provider_in_downloadlink","tests/units/test_http_server.py::RequestTestCase::test_search_response_contains_pagination_info","tests/units/test_http_server.py::RequestTestCase::test_service_desc","tests/units/test_http_server.py::RequestTestCase::test_service_doc","tests/units/test_http_server.py::RequestTestCase::test_stac_extension_oseo"],"string":"[\n \"tests/units/test_http_server.py::RequestTestCase::test_auth_error\",\n \"tests/units/test_http_server.py::RequestTestCase::test_catalog_browse\",\n \"tests/units/test_http_server.py::RequestTestCase::test_cloud_cover_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_collection\",\n \"tests/units/test_http_server.py::RequestTestCase::test_conformance\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search_from_catalog_items\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search_from_items\",\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_catalog\",\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_api_plugin\",\n \"tests/units/test_http_server.py::RequestTestCase::test_filter\",\n \"tests/units/test_http_server.py::RequestTestCase::test_forward\",\n \"tests/units/test_http_server.py::RequestTestCase::test_ids_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_nok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_ok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_not_found\",\n \"tests/units/test_http_server.py::RequestTestCase::test_request_params\",\n \"tests/units/test_http_server.py::RequestTestCase::test_route\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_catalog\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_collection\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_provider_in_downloadlink\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_response_contains_pagination_info\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_desc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_doc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_stac_extension_oseo\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-795"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-795"}}},{"rowIdx":484,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-802"},"base_commit":{"kind":"string","value":"4b1397bfdc79b0b9be0be3fc825df40949f4acae"},"created_at":{"kind":"string","value":"2023-08-29 15:56:05"},"environment_setup_commit":{"kind":"string","value":"49209ff081784ca7d31121899ce1eb8eda7d294c"},"hints_text":{"kind":"string","value":"github-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `81%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against d8bb641da73773eea32741184e436b891d47b210 </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `0%` | :x: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against d8bb641da73773eea32741184e436b891d47b210 </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 9b394f4a..bff4f2cc 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -20,6 +20,7 @@ import os\n import re\n import shutil\n from operator import itemgetter\n+from typing import List\n \n import geojson\n import pkg_resources\n@@ -45,6 +46,7 @@ from eodag.config import (\n )\n from eodag.plugins.download.base import DEFAULT_DOWNLOAD_TIMEOUT, DEFAULT_DOWNLOAD_WAIT\n from eodag.plugins.manager import PluginManager\n+from eodag.plugins.search.base import Search\n from eodag.utils import (\n GENERIC_PRODUCT_TYPE,\n MockResponse,\n@@ -891,7 +893,7 @@ class EODataAccessGateway(object):\n return a list as a result of their processing. This requirement is\n enforced here.\n \"\"\"\n- search_kwargs = self._prepare_search(\n+ search_plugins, search_kwargs = self._prepare_search(\n start=start,\n end=end,\n geom=geom,\n@@ -899,15 +901,13 @@ class EODataAccessGateway(object):\n provider=provider,\n **kwargs,\n )\n- search_plugins = search_kwargs.pop(\"search_plugins\", [])\n+\n if search_kwargs.get(\"id\"):\n # adds minimal pagination to be able to check only 1 product is returned\n search_kwargs.update(\n page=1,\n items_per_page=2,\n )\n- # remove auth from search_kwargs as a loop over providers will be performed\n- search_kwargs.pop(\"auth\", None)\n return self._search_by_id(\n search_kwargs.pop(\"id\"), provider=provider, **search_kwargs\n )\n@@ -981,10 +981,9 @@ class EODataAccessGateway(object):\n matching the criteria\n :rtype: Iterator[:class:`~eodag.api.search_result.SearchResult`]\n \"\"\"\n- search_kwargs = self._prepare_search(\n+ search_plugins, search_kwargs = self._prepare_search(\n start=start, end=end, geom=geom, locations=locations, **kwargs\n )\n- search_plugins = search_kwargs.pop(\"search_plugins\")\n for i, search_plugin in enumerate(search_plugins):\n try:\n return self.search_iter_page_plugin(\n@@ -1198,10 +1197,9 @@ class EODataAccessGateway(object):\n )\n self.fetch_product_types_list()\n \n- search_kwargs = self._prepare_search(\n+ search_plugins, search_kwargs = self._prepare_search(\n start=start, end=end, geom=geom, locations=locations, **kwargs\n )\n- search_plugins = search_kwargs.get(\"search_plugins\", [])\n for i, search_plugin in enumerate(search_plugins):\n if items_per_page is None:\n items_per_page = search_plugin.config.pagination.get(\n@@ -1279,13 +1277,8 @@ class EODataAccessGateway(object):\n \"Searching product with id '%s' on provider: %s\", uid, plugin.provider\n )\n logger.debug(\"Using plugin class for search: %s\", plugin.__class__.__name__)\n- auth_plugin = self._plugins_manager.get_auth_plugin(plugin.provider)\n- if getattr(plugin.config, \"need_auth\", False) and callable(\n- getattr(auth_plugin, \"authenticate\", None)\n- ):\n- plugin.auth = auth_plugin.authenticate()\n plugin.clear()\n- results, _ = self._do_search(plugin, auth=auth_plugin, id=uid, **kwargs)\n+ results, _ = self._do_search(plugin, id=uid, **kwargs)\n if len(results) == 1:\n if not results[0].product_type:\n # guess product type from properties\n@@ -1311,8 +1304,7 @@ class EODataAccessGateway(object):\n def _prepare_search(\n self, start=None, end=None, geom=None, locations=None, provider=None, **kwargs\n ):\n- \"\"\"Internal method to prepare the search kwargs and get the search\n- and auth plugins.\n+ \"\"\"Internal method to prepare the search kwargs and get the search plugins.\n \n Product query:\n * By id (plus optional 'provider')\n@@ -1375,7 +1367,7 @@ class EODataAccessGateway(object):\n \"No product type could be guessed with provided arguments\"\n )\n else:\n- return kwargs\n+ return [], kwargs\n \n kwargs[\"productType\"] = product_type\n if start is not None:\n@@ -1412,7 +1404,7 @@ class EODataAccessGateway(object):\n )\n self.fetch_product_types_list()\n \n- search_plugins = []\n+ search_plugins: List[Search] = []\n for plugin in self._plugins_manager.get_search_plugins(\n product_type=product_type\n ):\n@@ -1442,7 +1434,6 @@ class EODataAccessGateway(object):\n )\n # Add product_types_config to plugin config. This dict contains product\n # type metadata that will also be stored in each product's properties.\n- auth_plugins = {}\n for search_plugin in search_plugins:\n try:\n search_plugin.config.product_type_config = dict(\n@@ -1466,23 +1457,7 @@ class EODataAccessGateway(object):\n # Remove the ID since this is equal to productType.\n search_plugin.config.product_type_config.pop(\"ID\", None)\n \n- auth_plugin = self._plugins_manager.get_auth_plugin(search_plugin.provider)\n- auth_plugins[search_plugin.provider] = auth_plugin\n-\n- # append auth to search plugin if needed\n- if getattr(search_plugin.config, \"need_auth\", False) and callable(\n- getattr(auth_plugin, \"authenticate\", None)\n- ):\n- try:\n- search_plugin.auth = auth_plugin.authenticate()\n- except RuntimeError:\n- logger.error(\n- \"could not authenticatate at provider %s\",\n- search_plugin.provider,\n- )\n- search_plugin.auth = None\n-\n- return dict(search_plugins=search_plugins, auth=auth_plugins, **kwargs)\n+ return search_plugins, kwargs\n \n def _do_search(self, search_plugin, count=True, raise_errors=False, **kwargs):\n \"\"\"Internal method that performs a search on a given provider.\n@@ -1514,22 +1489,18 @@ class EODataAccessGateway(object):\n max_items_per_page,\n )\n \n+ need_auth = getattr(search_plugin.config, \"need_auth\", False)\n+ auth_plugin = self._plugins_manager.get_auth_plugin(search_plugin.provider)\n+ can_authenticate = callable(getattr(auth_plugin, \"authenticate\", None))\n+\n results = SearchResult([])\n total_results = 0\n \n try:\n- if \"auth\" in kwargs:\n- if isinstance(kwargs[\"auth\"], dict):\n- auth = kwargs[\"auth\"][search_plugin.provider]\n- else:\n- auth = kwargs[\"auth\"]\n- kwargs.pop(\"auth\")\n- else:\n- auth = None\n+ if need_auth and auth_plugin and can_authenticate:\n+ search_plugin.auth = auth_plugin.authenticate()\n \n- if \"search_plugins\" in kwargs:\n- kwargs.pop(\"search_plugins\")\n- res, nb_res = search_plugin.query(count=count, auth=auth, **kwargs)\n+ res, nb_res = search_plugin.query(count=count, auth=auth_plugin, **kwargs)\n \n # Only do the pagination computations when it makes sense. For example,\n # for a search by id, we can reasonably guess that the provider will return\n@@ -1615,7 +1586,7 @@ class EODataAccessGateway(object):\n download_plugin = self._plugins_manager.get_download_plugin(\n eo_product\n )\n- eo_product.register_downloader(download_plugin, auth)\n+ eo_product.register_downloader(download_plugin, auth_plugin)\n \n results.extend(res)\n total_results = None if nb_res is None else total_results + nb_res\ndiff --git a/eodag/plugins/manager.py b/eodag/plugins/manager.py\nindex 93884728..2adf341f 100644\n--- a/eodag/plugins/manager.py\n+++ b/eodag/plugins/manager.py\n@@ -18,6 +18,7 @@\n import logging\n from operator import attrgetter\n from pathlib import Path\n+from typing import Optional\n \n import pkg_resources\n \n@@ -200,7 +201,7 @@ class PluginManager(object):\n plugin = self._build_plugin(product.provider, plugin_conf.api, Api)\n return plugin\n \n- def get_auth_plugin(self, provider):\n+ def get_auth_plugin(self, provider: str) -> Optional[Authentication]:\n \"\"\"Build and return the authentication plugin for the given product_type and\n provider\n \n"},"problem_statement":{"kind":"string","value":"prevent authentication during search preparation\nFollowing https://github.com/CS-SI/eodag/pull/753, authentication is performed for all providers needing auth for search in `_prepare_search()`.\r\n\r\nOnly auth plugin should be passed as argument, and authentication should be performed before search for the given provider."},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex c3b4347e..03323865 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -1188,12 +1188,12 @@ class TestCoreSearch(TestCoreBase):\n )\n def test__prepare_search_no_parameters(self, mock_fetch_product_types_list):\n \"\"\"_prepare_search must create some kwargs even when no parameter has been provided\"\"\"\n- prepared_search = self.dag._prepare_search()\n+ _, prepared_search = self.dag._prepare_search()\n expected = {\n \"geometry\": None,\n \"productType\": None,\n }\n- expected = set([\"geometry\", \"productType\", \"auth\", \"search_plugins\"])\n+ expected = set([\"geometry\", \"productType\"])\n self.assertSetEqual(expected, set(prepared_search))\n \n @mock.patch(\n@@ -1205,7 +1205,7 @@ class TestCoreSearch(TestCoreBase):\n \"start\": \"2020-01-01\",\n \"end\": \"2020-02-01\",\n }\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertEqual(prepared_search[\"startTimeFromAscendingNode\"], base[\"start\"])\n self.assertEqual(\n prepared_search[\"completionTimeFromAscendingNode\"], base[\"end\"]\n@@ -1219,22 +1219,22 @@ class TestCoreSearch(TestCoreBase):\n # The default way to provide a geom is through the 'geom' argument.\n base = {\"geom\": (0, 50, 2, 52)}\n # \"geom\": \"POLYGON ((1 43, 1 44, 2 44, 2 43, 1 43))\"\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertIn(\"geometry\", prepared_search)\n # 'box' and 'bbox' are supported for backwards compatibility,\n # The priority is geom > bbox > box\n base = {\"box\": (0, 50, 2, 52)}\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertIn(\"geometry\", prepared_search)\n base = {\"bbox\": (0, 50, 2, 52)}\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertIn(\"geometry\", prepared_search)\n base = {\n \"geom\": \"POLYGON ((1 43, 1 44, 2 44, 2 43, 1 43))\",\n \"bbox\": (0, 50, 2, 52),\n \"box\": (0, 50, 1, 51),\n }\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertIn(\"geometry\", prepared_search)\n self.assertNotIn(\"bbox\", prepared_search)\n self.assertNotIn(\"bbox\", prepared_search)\n@@ -1249,19 +1249,19 @@ class TestCoreSearch(TestCoreBase):\n # as regular kwargs. The new and recommended way to provide\n # them is through the 'locations' parameter.\n base = {\"locations\": {\"country\": \"FRA\"}}\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertIn(\"geometry\", prepared_search)\n \n # TODO: Remove this when support for locations kwarg is dropped.\n base = {\"country\": \"FRA\"}\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertIn(\"geometry\", prepared_search)\n self.assertNotIn(\"country\", prepared_search)\n \n def test__prepare_search_product_type_provided(self):\n \"\"\"_prepare_search must handle when a product type is given\"\"\"\n base = {\"productType\": \"S2_MSI_L1C\"}\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n \n def test__prepare_search_product_type_guess_it(self):\n@@ -1273,7 +1273,7 @@ class TestCoreSearch(TestCoreBase):\n platform=\"SENTINEL2\",\n platformSerialIdentifier=\"S2A\",\n )\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertEqual(prepared_search[\"productType\"], \"S2_MSI_L1C\")\n \n def test__prepare_search_remove_guess_kwargs(self):\n@@ -1285,13 +1285,13 @@ class TestCoreSearch(TestCoreBase):\n platform=\"SENTINEL2\",\n platformSerialIdentifier=\"S2A\",\n )\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertEqual(len(base.keys() & prepared_search.keys()), 0)\n \n def test__prepare_search_with_id(self):\n \"\"\"_prepare_search must handle a search by id\"\"\"\n base = {\"id\": \"dummy-id\", \"provider\": \"creodias\"}\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n expected = {\"id\": \"dummy-id\"}\n self.assertDictEqual(expected, prepared_search)\n \n@@ -1301,7 +1301,7 @@ class TestCoreSearch(TestCoreBase):\n \"productType\": \"S2_MSI_L1C\",\n \"cloudCover\": 10,\n }\n- prepared_search = self.dag._prepare_search(**base)\n+ _, prepared_search = self.dag._prepare_search(**base)\n self.assertEqual(prepared_search[\"productType\"], base[\"productType\"])\n self.assertEqual(prepared_search[\"cloudCover\"], base[\"cloudCover\"])\n \n@@ -1311,14 +1311,12 @@ class TestCoreSearch(TestCoreBase):\n try:\n self.dag.set_preferred_provider(\"peps\")\n base = {\"productType\": \"S2_MSI_L1C\"}\n- prepared_search = self.dag._prepare_search(**base)\n+ search_plugins, _ = self.dag._prepare_search(**base)\n # Just check that the title has been set correctly. There are more (e.g.\n # abstract, platform, etc.) but this is sufficient to check that the\n # product_type_config dict has been created and populated.\n self.assertEqual(\n- prepared_search[\"search_plugins\"][0].config.product_type_config[\n- \"title\"\n- ],\n+ search_plugins[0].config.product_type_config[\"title\"],\n \"SENTINEL2 Level-1C\",\n )\n finally:\n@@ -1335,38 +1333,35 @@ class TestCoreSearch(TestCoreBase):\n try:\n self.dag.set_preferred_provider(\"peps\")\n base = {\"productType\": \"product_unknown_to_eodag\"}\n- prepared_search = self.dag._prepare_search(**base)\n+ search_plugins, _ = self.dag._prepare_search(**base)\n # product_type_config is still created if the product is not known to eodag\n # however it contains no data.\n self.assertIsNone(\n- prepared_search[\"search_plugins\"][0].config.product_type_config[\n- \"title\"\n- ],\n+ search_plugins[0].config.product_type_config[\"title\"],\n )\n finally:\n self.dag.set_preferred_provider(prev_fav_provider)\n \n def test__prepare_search_peps_plugins_product_available(self):\n- \"\"\"_prepare_search must return the search and auth plugins when productType is defined\"\"\"\n+ \"\"\"_prepare_search must return the search plugins when productType is defined\"\"\"\n prev_fav_provider = self.dag.get_preferred_provider()[0]\n try:\n self.dag.set_preferred_provider(\"peps\")\n base = {\"productType\": \"S2_MSI_L1C\"}\n- prepared_search = self.dag._prepare_search(**base)\n- self.assertEqual(prepared_search[\"search_plugins\"][0].provider, \"peps\")\n- self.assertEqual(prepared_search[\"auth\"][\"peps\"].provider, \"peps\")\n+ search_plugins, _ = self.dag._prepare_search(**base)\n+ self.assertEqual(search_plugins[0].provider, \"peps\")\n finally:\n self.dag.set_preferred_provider(prev_fav_provider)\n \n def test__prepare_search_no_plugins_when_search_by_id(self):\n \"\"\"_prepare_search must not return the search and auth plugins for a search by id\"\"\"\n base = {\"id\": \"some_id\", \"provider\": \"some_provider\"}\n- prepared_search = self.dag._prepare_search(**base)\n- self.assertNotIn(\"search_plugins\", prepared_search)\n+ search_plugins, prepared_search = self.dag._prepare_search(**base)\n+ self.assertListEqual(search_plugins, [])\n self.assertNotIn(\"auth\", prepared_search)\n \n def test__prepare_search_peps_plugins_product_not_available(self):\n- \"\"\"_prepare_search can use another set of search and auth plugins than the ones of the preferred provider\"\"\"\n+ \"\"\"_prepare_search can use another search plugin than the preferred one\"\"\"\n # Document a special behaviour whereby the search and auth plugins don't\n # correspond to the preferred one. This occurs whenever the searched product\n # isn't available for the preferred provider but is made available by another\n@@ -1376,9 +1371,8 @@ class TestCoreSearch(TestCoreBase):\n try:\n self.dag.set_preferred_provider(\"theia\")\n base = {\"productType\": \"S2_MSI_L1C\"}\n- prepared_search = self.dag._prepare_search(**base)\n- self.assertEqual(prepared_search[\"search_plugins\"][0].provider, \"peps\")\n- self.assertEqual(prepared_search[\"auth\"][\"peps\"].provider, \"peps\")\n+ search_plugins, _ = self.dag._prepare_search(**base)\n+ self.assertEqual(search_plugins[0].provider, \"peps\")\n finally:\n self.dag.set_preferred_provider(prev_fav_provider)\n \n@@ -1420,7 +1414,6 @@ class TestCoreSearch(TestCoreBase):\n mock__do_search.assert_called_once_with(\n self.dag,\n mock_get_search_plugins.return_value[0],\n- auth=mock_get_auth_plugin.return_value,\n id=\"foo\",\n productType=\"bar\",\n )\n@@ -1668,7 +1661,7 @@ class TestCoreSearch(TestCoreBase):\n pagination = {}\n \n search_plugin.config = DummyConfig()\n- prepare_seach.return_value = dict(search_plugin=search_plugin)\n+ prepare_seach.return_value = ([search_plugin], {})\n page_iterator = self.dag.search_iter_page_plugin(\n items_per_page=2, search_plugin=search_plugin\n )\n@@ -1695,7 +1688,7 @@ class TestCoreSearch(TestCoreBase):\n pagination = {}\n \n search_plugin.config = DummyConfig()\n- prepare_seach.return_value = dict(search_plugin=search_plugin)\n+ prepare_seach.return_value = ([search_plugin], {})\n page_iterator = self.dag.search_iter_page_plugin(\n items_per_page=2, search_plugin=search_plugin\n )\n@@ -1720,7 +1713,7 @@ class TestCoreSearch(TestCoreBase):\n pagination = {}\n \n search_plugin.config = DummyConfig()\n- prepare_seach.return_value = dict(search_plugin=search_plugin)\n+ prepare_seach.return_value = ([search_plugin], {})\n page_iterator = self.dag.search_iter_page_plugin(\n items_per_page=2, search_plugin=search_plugin\n )\n@@ -1736,7 +1729,7 @@ class TestCoreSearch(TestCoreBase):\n \"\"\"search_iter_page must propagate errors\"\"\"\n search_plugin.provider = \"peps\"\n search_plugin.query.side_effect = AttributeError()\n- prepare_seach.return_value = dict(search_plugin=search_plugin)\n+ prepare_seach.return_value = ([search_plugin], {})\n page_iterator = self.dag.search_iter_page_plugin()\n with self.assertRaises(AttributeError):\n next(page_iterator)\n@@ -1806,13 +1799,13 @@ class TestCoreSearch(TestCoreBase):\n \n search_plugin.config = DummyConfig()\n \n- # Infinite generator her because passing directly the dict to\n+ # Infinite generator here because passing directly the dict to\n # prepare_search.return_value (or side_effect) didn't work. One function\n # would do a dict.pop(\"search_plugin\") that would remove the item from the\n # mocked return value. Later calls would then break\n def yield_search_plugin():\n while True:\n- yield {\"search_plugins\": [search_plugin]}\n+ yield ([search_plugin], {})\n \n prepare_seach.side_effect = yield_search_plugin()\n all_results = self.dag.search_all(items_per_page=2)\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 2,\n \"test_score\": 0\n },\n \"num_modified_files\": 2\n}"},"version":{"kind":"string","value":"2.11"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n 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\"tests/units/test_core.py::TestCoreSearch::test__do_search_doest_not_register_downloader_if_no_search_intersection\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_fuzzy_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_no_count_returned\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_null_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_query_products_must_be_a_list\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_register_downloader_if_search_intersection\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_support_itemsperpage_higher_than_maximum\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_without_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_unknown_product_type\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_without_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_request_error\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_unknown_product_type\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_default_value\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_max_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_request_error\",\n \"tests/units/test_core.py::TestCoreDownload::test_download_local_product\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":485,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-836"},"base_commit":{"kind":"string","value":"db336ebe9e3359bc3549e546948ef59c54b632ae"},"created_at":{"kind":"string","value":"2023-09-19 13:47:39"},"environment_setup_commit":{"kind":"string","value":"49209ff081784ca7d31121899ce1eb8eda7d294c"},"hints_text":{"kind":"string","value":"github-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against df350c69e0a7099fc741626e47753f892b4301bc </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `76%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against df350c69e0a7099fc741626e47753f892b4301bc </p>"},"patch":{"kind":"string","value":"diff --git a/docs/getting_started_guide/configure.rst b/docs/getting_started_guide/configure.rst\nindex c7814106..ac0559c5 100644\n--- a/docs/getting_started_guide/configure.rst\n+++ b/docs/getting_started_guide/configure.rst\n@@ -20,10 +20,10 @@ for products in a provider's catalog, how to download products, etc. However, us\n to complete this configuration with additional settings, such as provider credentials. Users can\n also override pre-configured settings (e.g. the download folder).\n \n-YAML configuration file\n-^^^^^^^^^^^^^^^^^^^^^^^\n+YAML user configuration file\n+^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n \n-The first time ``eodag`` is used after an install a default YAML configuration file is saved\n+The first time ``eodag`` is used after an install, a default YAML user configuration file is saved\n in a local directory (``~/.config/eodag/eodag.yml`` on Linux).\n \n This YAML file contains a template that shows how to complete the configuration of one or\n@@ -86,8 +86,11 @@ to the configuration file. In that case it is also loaded automatically:\n Environment variable configuration\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n \n-``eodag`` can also be configured with environment variables, which have **priority over**\n-the YAML file configuration.\n+Providers configuration using environment variables\n+\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n+\n+``eodag`` providers can also be configured with environment variables, which have **priority over**\n+the YAML user configuration file.\n \n The name of the environment variables understood by ``eodag`` must follow the pattern\n ``EODAG__KEY1__KEY2__[...]__KEYN`` (note the double underscore between the keys).\n@@ -116,13 +119,32 @@ Each configuration parameter can be set with an environment variable.\n \n .. note::\n \n- Setting credentials must be done according to the `provider's plugin <https://eodag.readthedocs.io/en/stable/plugins.html#plugins-available>`_ (auth | api):\n+ Setting credentials must be done according to the\n+ `provider's plugin <https://eodag.readthedocs.io/en/stable/plugins.html#plugins-available>`_ (auth | api):\n \n * Authentication plugin: ``EODAG__<PROVIDER>__AUTH__CREDENTIALS__<KEY>``\n \n * API plugin: ``EODAG__<PROVIDER>__API__CREDENTIALS__<KEY>``\n \n- ``<KEY>`` should be replaced with the adapted credentials key (``USERNAME``, ``PASSWORD``, ``APIKEY``, ...) according to the provider configuration template in `the YAML configuration file <https://eodag.readthedocs.io/en/stable/getting_started_guide/configure.html#yaml-configuration-file>`_.\n+ ``<KEY>`` should be replaced with the adapted credentials key (``USERNAME``, ``PASSWORD``, ``APIKEY``, ...) according\n+ to the provider configuration template in\n+ `the YAML user configuration file\\\n+ <https://eodag.readthedocs.io/en/stable/getting_started_guide/configure.html#yaml-user-configuration-file>`_.\n+\n+\n+Core configuration using environment variables\n+\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n+\n+Some EODAG core settings can be overriden using environment variables:\n+\n+* ``EODAG_CFG_FILE`` for defining the desired path to the `user configuration file\\\n+ <https://eodag.readthedocs.io/en/stable/getting_started_guide/configure.html#yaml-user-configuration-file>`_\n+* ``EODAG_LOCS_CFG_FILE`` for defining the desired path to the\n+ `locations <https://eodag.readthedocs.io/en/stable/notebooks/api_user_guide/4_search.html#Locations-search>`_\n+ configuration file\n+* ``EODAG_PROVIDERS_CFG_FILE`` for defining the desired path to the providers configuration file\n+* ``EODAG_EXT_PRODUCT_TYPES_CFG_FILE`` for defining the desired path to the `external product types configuration file\\\n+ <https://eodag.readthedocs.io/en/stable/notebooks/api_user_guide/2_providers_products_available.html#Product-types-discovery>`_\n \n CLI configuration\n ^^^^^^^^^^^^^^^^^\n@@ -254,7 +276,8 @@ Use OTP through Python code\n \"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n \n ``creodias`` needs a temporary 6-digits code to authenticate in addition of the ``username`` and ``password``. Check\n-`Creodias documentation <https://creodias.docs.cloudferro.com/en/latest/gettingstarted/Two-Factor-Authentication-for-Creodias-Site.html>`_\n+`Creodias documentation\\\n+<https://creodias.docs.cloudferro.com/en/latest/gettingstarted/Two-Factor-Authentication-for-Creodias-Site.html>`_\n to see how to get this code once you are registered. This OTP code will only be valid for a few seconds, so you will\n better set it dynamically in your python code instead of storing it statically in your user configuration file.\n \n@@ -284,8 +307,8 @@ will be stored and used if further authentication tries fail:\n dag._plugins_manager.get_auth_plugin(\"creodias\").authenticate()\n \n Please note that authentication mechanism is already included in\n-`download methods <https://eodag.readthedocs.io/en/stable/notebooks/api_user_guide/7_download.html>`_ , so you could also directly execute a\n-download to retrieve the token while the OTP is still valid.\n+`download methods <https://eodag.readthedocs.io/en/stable/notebooks/api_user_guide/7_download.html>`_ , so you could\n+also directly execute a download to retrieve the token while the OTP is still valid.\n \n Use OTP through CLI\n \"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\ndiff --git a/eodag/config.py b/eodag/config.py\nindex 8523d9b7..0e5a5eb1 100644\n--- a/eodag/config.py\n+++ b/eodag/config.py\n@@ -226,12 +226,18 @@ class PluginConfig(yaml.YAMLObject):\n \n \n def load_default_config():\n- \"\"\"Load the providers configuration into a dictionnary\n+ \"\"\"Load the providers configuration into a dictionnary.\n+\n+ Load from eodag `resources/providers.yml` or `EODAG_PROVIDERS_CFG_FILE` environment\n+ variable if exists.\n \n :returns: The default provider's configuration\n :rtype: dict\n \"\"\"\n- return load_config(resource_filename(\"eodag\", \"resources/providers.yml\"))\n+ eodag_providers_cfg_file = os.getenv(\n+ \"EODAG_PROVIDERS_CFG_FILE\"\n+ ) or resource_filename(\"eodag\", \"resources/providers.yml\")\n+ return load_config(eodag_providers_cfg_file)\n \n \n def load_config(config_path):\n@@ -242,6 +248,7 @@ def load_config(config_path):\n :returns: The default provider's configuration\n :rtype: dict\n \"\"\"\n+ logger.debug(f\"Loading configuration from {config_path}\")\n config = {}\n try:\n # Providers configs are stored in this file as separated yaml documents\n"},"problem_statement":{"kind":"string","value":"configure providers.yml path\nImplement a way to configure where `providers.yml` is located.\r\n- through a environment variable"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/resources/file_providers_override.yml b/tests/resources/file_providers_override.yml\nnew file mode 100644\nindex 00000000..fd3fea75\n--- /dev/null\n+++ b/tests/resources/file_providers_override.yml\n@@ -0,0 +1,33 @@\n+# -*- coding: utf-8 -*-\n+# Copyright 2023, CS GROUP - France, https://www.csgroup.eu/\n+#\n+# This file is part of EODAG project\n+# https://www.github.com/CS-SI/EODAG\n+#\n+# Licensed under the Apache License, Version 2.0 (the \"License\");\n+# you may not use this file except in compliance with the License.\n+# You may obtain a copy of the License at\n+#\n+# http://www.apache.org/licenses/LICENSE-2.0\n+#\n+# Unless required by applicable law or agreed to in writing, software\n+# distributed under the License is distributed on an \"AS IS\" BASIS,\n+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+# See the License for the specific language governing permissions and\n+# limitations under the License.\n+---\n+!provider\n+ name: foo_provider\n+ priority: 2\n+ roles:\n+ - host\n+ description: provider for test\n+ search: !plugin\n+ type: StacSearch\n+ api_endpoint: https://foo.bar/search\n+ products:\n+ GENERIC_PRODUCT_TYPE:\n+ productType: '{productType}'\n+ download: !plugin\n+ type: HTTPDownload\n+ base_uri: https://foo.bar\ndiff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex 77b98952..430eb40c 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -900,7 +900,7 @@ class TestCoreConfWithEnvVar(TestCoreBase):\n cls.mock_os_environ.stop()\n \n def test_core_object_prioritize_locations_file_in_envvar(self):\n- \"\"\"The core object must use the locations file pointed to by the EODAG_LOCS_CFG_FILE env var\"\"\"\n+ \"\"\"The core object must use the locations file pointed by the EODAG_LOCS_CFG_FILE env var\"\"\"\n try:\n os.environ[\"EODAG_LOCS_CFG_FILE\"] = os.path.join(\n TEST_RESOURCES_PATH, \"file_locations_override.yml\"\n@@ -914,7 +914,7 @@ class TestCoreConfWithEnvVar(TestCoreBase):\n os.environ.pop(\"EODAG_LOCS_CFG_FILE\", None)\n \n def test_core_object_prioritize_config_file_in_envvar(self):\n- \"\"\"The core object must use the config file pointed to by the EODAG_CFG_FILE env var\"\"\"\n+ \"\"\"The core object must use the config file pointed by the EODAG_CFG_FILE env var\"\"\"\n try:\n os.environ[\"EODAG_CFG_FILE\"] = os.path.join(\n TEST_RESOURCES_PATH, \"file_config_override.yml\"\n@@ -929,6 +929,22 @@ class TestCoreConfWithEnvVar(TestCoreBase):\n finally:\n os.environ.pop(\"EODAG_CFG_FILE\", None)\n \n+ def test_core_object_prioritize_providers_file_in_envvar(self):\n+ \"\"\"The core object must use the providers conf file pointed by the EODAG_PROVIDERS_CFG_FILE env var\"\"\"\n+ try:\n+ os.environ[\"EODAG_PROVIDERS_CFG_FILE\"] = os.path.join(\n+ TEST_RESOURCES_PATH, \"file_providers_override.yml\"\n+ )\n+ dag = EODataAccessGateway()\n+ # only foo_provider in conf\n+ self.assertEqual(dag.available_providers(), [\"foo_provider\"])\n+ self.assertEqual(\n+ dag.providers_config[\"foo_provider\"].search.api_endpoint,\n+ \"https://foo.bar/search\",\n+ )\n+ finally:\n+ os.environ.pop(\"EODAG_PROVIDERS_CFG_FILE\", None)\n+\n \n class TestCoreInvolvingConfDir(unittest.TestCase):\n def setUp(self):\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 0,\n \"test_score\": 3\n },\n \"num_modified_files\": 2\n}"},"version":{"kind":"string","value":"2.11"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\",\n \"pytest\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndecorator==5.2.1\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e 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eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n 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\"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_known_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_unknown_product_type\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_with_id\",\n \"tests/units/test_core.py::TestCoreSearch::test__search_by_id\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_without_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_must_collect_them_all\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_unknown_product_type\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_default_value\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_max_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator\",\n \"tests/units/test_core.py::TestCoreDownload::test_download_local_product\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":486,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-882"},"base_commit":{"kind":"string","value":"177d77120e1c5bda5c84af638bdaa49a07edf5f4"},"created_at":{"kind":"string","value":"2023-10-13 09:00:08"},"environment_setup_commit":{"kind":"string","value":"49209ff081784ca7d31121899ce1eb8eda7d294c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 1 files - 3 1 suites - 3 1m 20s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"duration of all tests\") - 4m 52s\n431 tests ± 0 425 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") - 3 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") ± 0 3 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") +3 \n431 runs - 1 293 425 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") - 1 223 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") - 73 3 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") +3 \n\nFor more details on these failures, see [this check](https://github.com/CS-SI/eodag/runs/17671383402).\n\nResults for commit 43eb0460. ± Comparison against base commit 177d7712.\n\n[test-results]:data:application/gzip;base64,H4sIAOUHKWUC/1WMSw6DIBQAr2JYd4HyKfQyDeAjIVVpEFamd+/DpqLLmUlmIz5MsJJH1986spaQDxhLMjnEBVFRZCy5Ns76Pz3X4lxVg2jqFd6o2CG8CdNFQEoxoanTVJb2rHBd/kw77nwa7nz+uTjPISMQzsBSLikzHhyT0oCxQgmtGb9rPjqpYFDUCvL5Ao3wUI0EAQAA\n\ngithub-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 43eb04603afec366aeab5859934794dc68e280b5 </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `76%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 51171f8933d81affe05fb50208cc7df414c8ecff </p>"},"patch":{"kind":"string","value":"diff --git a/docs/notebooks/tutos/tuto_cop_dem.ipynb b/docs/notebooks/tutos/tuto_cop_dem.ipynb\nindex 6fd63b31..05f6d515 100644\n--- a/docs/notebooks/tutos/tuto_cop_dem.ipynb\n+++ b/docs/notebooks/tutos/tuto_cop_dem.ipynb\n@@ -16,14 +16,7 @@\n \"outputs\": [],\n \"source\": [\n \"import os\\n\",\n- \"import boto3\\n\",\n- \"import json\\n\",\n- \"import zipfile\\n\",\n- \"\\n\",\n- \"from botocore.handlers import disable_signing\\n\",\n- \"\\n\",\n- \"from eodag import EODataAccessGateway\\n\",\n- \"from eodag.utils import ProgressCallback\"\n+ \"from eodag import EODataAccessGateway\"\n ]\n },\n {\n@@ -48,7 +41,14 @@\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n- \"Download grid index from AWS:\"\n+ \"## Search products\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"Init EODAG and get available product types from Copernicus DEM\"\n ]\n },\n {\n@@ -58,88 +58,50 @@\n \"outputs\": [\n {\n \"data\": {\n- \"application/vnd.jupyter.widget-view+json\": {\n- \"model_id\": \"0a905e212bbb486aa0c7624605f18b1e\",\n- \"version_major\": 2,\n- \"version_minor\": 0\n- },\n \"text/plain\": [\n- \" 0%| | 0.00/2.24M [00:00<?, ?B/s]\"\n+ \"['COP_DEM_GLO30_DGED',\\n\",\n+ \" 'COP_DEM_GLO30_DTED',\\n\",\n+ \" 'COP_DEM_GLO90_DGED',\\n\",\n+ \" 'COP_DEM_GLO90_DTED']\"\n ]\n },\n+ \"execution_count\": 3,\n \"metadata\": {},\n- \"output_type\": \"display_data\"\n+ \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n- \"grid_zipfilename = \\\"grid.zip\\\"\\n\",\n- \"progress_callback = ProgressCallback()\\n\",\n- \"path_to_zipfile = os.path.join(os.path.abspath(workspace), grid_zipfilename)\\n\",\n- \"\\n\",\n- \"s3_resource = boto3.resource(\\\"s3\\\")\\n\",\n- \"s3_resource.meta.client.meta.events.register(\\n\",\n- \" \\\"choose-signer.s3.*\\\", disable_signing\\n\",\n- \")\\n\",\n- \"s3_bucket = s3_resource.Bucket(\\\"copernicus-dem-30m\\\")\\n\",\n- \"\\n\",\n- \"# file size\\n\",\n- \"progress_callback.reset(total=sum([\\n\",\n- \" p.size for p in s3_bucket.objects.filter(Prefix=grid_zipfilename)\\n\",\n- \"]))\\n\",\n- \"# download\\n\",\n- \"objects = s3_bucket.download_file(\\n\",\n- \" grid_zipfilename,\\n\",\n- \" path_to_zipfile,\\n\",\n- \" Callback=progress_callback,\\n\",\n- \")\\n\",\n- \"progress_callback.close()\\n\",\n+ \"dag = EODataAccessGateway()\\n\",\n \"\\n\",\n- \"# unzip\\n\",\n- \"with zipfile.ZipFile(path_to_zipfile, 'r') as zip_ref:\\n\",\n- \" zip_ref.extractall(workspace)\"\n+ \"dag.guess_product_type(keywords=\\\"DEM\\\")\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n- \"Init EODAG and add a custom provider for this local Copernicus DEM index:\"\n+ \"Check which providers support `COP_DEM_GLO30_DGED`\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 4,\n \"metadata\": {},\n- \"outputs\": [],\n- \"source\": [\n- \"dag = EODataAccessGateway()\\n\",\n- \"dag.update_providers_config(\\\"\\\"\\\"\\n\",\n- \"cop_dem_aws:\\n\",\n- \" search:\\n\",\n- \" type: StacSearch\\n\",\n- \" api_endpoint: https://fake-endpoint\\n\",\n- \" metadata_mapping:\\n\",\n- \" id: '$.properties.id'\\n\",\n- \" title: '$.properties.id'\\n\",\n- \" downloadLink: 's3://copernicus-dem-30m/{id}'\\n\",\n- \" products:\\n\",\n- \" GENERIC_PRODUCT_TYPE:\\n\",\n- \" productType: '{productType}'\\n\",\n- \" download:\\n\",\n- \" type: AwsDownload\\n\",\n- \" base_uri: https://fake-endpoint\\n\",\n- \" flatten_top_dirs: True\\n\",\n- \" auth:\\n\",\n- \" type: AwsAuth\\n\",\n- \" credentials:\\n\",\n- \"\\\"\\\"\\\")\"\n- ]\n- },\n- {\n- \"cell_type\": \"markdown\",\n- \"metadata\": {},\n+ \"outputs\": [\n+ {\n+ \"data\": {\n+ \"text/plain\": [\n+ \"['creodias', 'wekeo']\"\n+ ]\n+ },\n+ \"execution_count\": 4,\n+ \"metadata\": {},\n+ \"output_type\": \"execute_result\"\n+ }\n+ ],\n \"source\": [\n- \"## Convert downloaded geojson to EODAG serialized search result\"\n+ \"product_type = \\\"COP_DEM_GLO30_DGED\\\"\\n\",\n+ \"dag.available_providers(product_type)\"\n ]\n },\n {\n@@ -148,44 +110,36 @@\n \"metadata\": {},\n \"outputs\": [\n {\n- \"name\": \"stdout\",\n+ \"name\": \"stderr\",\n \"output_type\": \"stream\",\n \"text\": [\n- \"64800 items written to /home/sylvain/workspace/eodag/examples/eodag_workspace_copdem/dem30mGrid_eodag.json\\n\",\n- \"64800 items loaded as SearchResult\\n\"\n+ \"Product type 'COP_DEM_GLO30_DGED' is not available with provider 'peps'. Searching it on provider 'creodias' instead.\\n\"\n ]\n+ },\n+ {\n+ \"data\": {\n+ \"text/plain\": [\n+ \"SearchResult([EOProduct(id=DEM1_SAR_DGE_30_20110216T174143_20140906T174215_ADS_000000_jSLP, provider=creodias),\\n\",\n+ \" EOProduct(id=DEM1_SAR_DGE_30_20110417T175032_20140906T174215_ADS_000000_PIJx, provider=creodias),\\n\",\n+ \" EOProduct(id=DEM1_SAR_DGE_30_20110428T174952_20140831T175054_ADS_000000_Q3FX, provider=creodias)])\"\n+ ]\n+ },\n+ \"execution_count\": 5,\n+ \"metadata\": {},\n+ \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n- \"dem_in = os.path.join(os.path.abspath(workspace), \\\"dem30mGrid.json\\\")\\n\",\n- \"dem_out = os.path.join(os.path.abspath(workspace), \\\"dem30mGrid_eodag.json\\\")\\n\",\n- \"with open(dem_in) as fin, open(dem_out, \\\"w\\\") as fout:\\n\",\n- \" data = json.load(fin)\\n\",\n- \" data[\\\"features\\\"] = [dict(feat, **{\\n\",\n- \" \\\"id\\\": feat[\\\"properties\\\"][\\\"id\\\"],\\n\",\n- \" \\\"properties\\\" : {\\n\",\n- \" \\\"title\\\": feat[\\\"properties\\\"][\\\"id\\\"],\\n\",\n- \" \\\"eodag_product_type\\\": \\\"COP_DEM\\\",\\n\",\n- \" \\\"eodag_provider\\\": \\\"cop_dem_aws\\\",\\n\",\n- \" \\\"eodag_search_intersection\\\": {\\\"type\\\": \\\"Polygon\\\",\\\"coordinates\\\": []},\\n\",\n- \" \\\"downloadLink\\\": \\\"s3://copernicus-dem-30m/%s\\\" % feat[\\\"properties\\\"][\\\"id\\\"],\\n\",\n- \" }\\n\",\n- \" }) for feat in data[\\\"features\\\"]\\n\",\n- \" ]\\n\",\n- \" json.dump(data, fout)\\n\",\n- \"print(\\\"%s items written to %s\\\" % (len(data[\\\"features\\\"]), dem_out))\\n\",\n- \"\\n\",\n- \"items = dag.deserialize_and_register(dem_out)\\n\",\n- \"print(\\\"%s items loaded as SearchResult\\\" % len(items))\"\n+ \"search_geom = [0.25, 43.2, 2.8, 43.9]\\n\",\n+ \"search_result, count = dag.search(productType=product_type, geom=search_geom)\\n\",\n+ \"search_result\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n- \"## Filter on a specific area\\n\",\n- \"\\n\",\n- \"Draw geometry on the map:\"\n+ \"Draw results geometries on a map:\"\n ]\n },\n {\n@@ -195,116 +149,222 @@\n \"outputs\": [\n {\n \"data\": {\n- \"application/vnd.jupyter.widget-view+json\": {\n- \"model_id\": \"8fafcf737b164e8688e07dfb22bdbddb\",\n- \"version_major\": 2,\n- \"version_minor\": 0\n- },\n+ \"text/html\": [\n+ \"<div style=\\\"width:100%;\\\"><div style=\\\"position:relative;width:100%;height:0;padding-bottom:60%;\\\"><span style=\\\"color:#565656\\\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\\\"<!DOCTYPE html>\\n\",\n+ \"<html>\\n\",\n+ \"<head>\\n\",\n+ \" \\n\",\n+ \" <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\\n\",\n+ \" \\n\",\n+ \" <script>\\n\",\n+ \" L_NO_TOUCH = false;\\n\",\n+ \" L_DISABLE_3D = false;\\n\",\n+ \" </script>\\n\",\n+ \" \\n\",\n+ \" <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\\n\",\n+ \" <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\\n\",\n+ \" <script src="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js"></script>\\n\",\n+ \" <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>\\n\",\n+ \" <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js"></script>\\n\",\n+ \" <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\\n\",\n+ \" <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css"/>\\n\",\n+ \" <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css"/>\\n\",\n+ \" <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>\\n\",\n+ \" <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css"/>\\n\",\n+ \" <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>\\n\",\n+ \" <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>\\n\",\n+ \" \\n\",\n+ \" <meta name="viewport" content="width=device-width,\\n\",\n+ \" initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\\n\",\n+ \" <style>\\n\",\n+ \" #map_bb529a40614b71994d4f3b84c24ff3c6 {\\n\",\n+ \" position: relative;\\n\",\n+ \" width: 100.0%;\\n\",\n+ \" height: 100.0%;\\n\",\n+ \" left: 0.0%;\\n\",\n+ \" top: 0.0%;\\n\",\n+ \" }\\n\",\n+ \" .leaflet-container { font-size: 1rem; }\\n\",\n+ \" </style>\\n\",\n+ \" \\n\",\n+ \" \\n\",\n+ \" <style>\\n\",\n+ \" .foliumtooltip {\\n\",\n+ \" \\n\",\n+ \" }\\n\",\n+ \" .foliumtooltip table{\\n\",\n+ \" margin: auto;\\n\",\n+ \" }\\n\",\n+ \" .foliumtooltip tr{\\n\",\n+ \" text-align: left;\\n\",\n+ \" }\\n\",\n+ \" .foliumtooltip th{\\n\",\n+ \" padding: 2px; padding-right: 8px;\\n\",\n+ \" }\\n\",\n+ \" </style>\\n\",\n+ \" \\n\",\n+ \"</head>\\n\",\n+ \"<body>\\n\",\n+ \" \\n\",\n+ \" \\n\",\n+ \" <div class="folium-map" id="map_bb529a40614b71994d4f3b84c24ff3c6" ></div>\\n\",\n+ \" \\n\",\n+ \"</body>\\n\",\n+ \"<script>\\n\",\n+ \" \\n\",\n+ \" \\n\",\n+ \" var map_bb529a40614b71994d4f3b84c24ff3c6 = L.map(\\n\",\n+ \" "map_bb529a40614b71994d4f3b84c24ff3c6",\\n\",\n+ \" {\\n\",\n+ \" center: [43.5, 1.5],\\n\",\n+ \" crs: L.CRS.EPSG3857,\\n\",\n+ \" zoom: 8,\\n\",\n+ \" zoomControl: true,\\n\",\n+ \" preferCanvas: false,\\n\",\n+ \" }\\n\",\n+ \" );\\n\",\n+ \"\\n\",\n+ \" \\n\",\n+ \"\\n\",\n+ \" \\n\",\n+ \" \\n\",\n+ \" var tile_layer_f202a5440eb73c205c8aeab90cc160cf = L.tileLayer(\\n\",\n+ \" "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",\\n\",\n+ \" {"attribution": "Data by \\\\u0026copy; \\\\u003ca target=\\\\"_blank\\\\" href=\\\\"http://openstreetmap.org\\\\"\\\\u003eOpenStreetMap\\\\u003c/a\\\\u003e, under \\\\u003ca target=\\\\"_blank\\\\" href=\\\\"http://www.openstreetmap.org/copyright\\\\"\\\\u003eODbL\\\\u003c/a\\\\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\\n\",\n+ \" ).addTo(map_bb529a40614b71994d4f3b84c24ff3c6);\\n\",\n+ \" \\n\",\n+ \" \\n\",\n+ \" var rectangle_91153f824feb5444e8e5b34d6f066e06 = L.rectangle(\\n\",\n+ \" [[43.2, 0.25], [43.9, 2.8]],\\n\",\n+ \" {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 3}\\n\",\n+ \" ).addTo(map_bb529a40614b71994d4f3b84c24ff3c6);\\n\",\n+ \" \\n\",\n+ \" \\n\",\n+ \" rectangle_91153f824feb5444e8e5b34d6f066e06.bindTooltip(\\n\",\n+ \" `<div>\\n\",\n+ \" Search extent\\n\",\n+ \" </div>`,\\n\",\n+ \" {"sticky": true}\\n\",\n+ \" );\\n\",\n+ \" \\n\",\n+ \" \\n\",\n+ \"\\n\",\n+ \" function geo_json_a1a84a7e944c3478f83d093c02ad9c6e_onEachFeature(feature, layer) {\\n\",\n+ \" layer.on({\\n\",\n+ \" });\\n\",\n+ \" };\\n\",\n+ \" var geo_json_a1a84a7e944c3478f83d093c02ad9c6e = L.geoJson(null, {\\n\",\n+ \" onEachFeature: geo_json_a1a84a7e944c3478f83d093c02ad9c6e_onEachFeature,\\n\",\n+ \" \\n\",\n+ \" });\\n\",\n+ \"\\n\",\n+ \" function geo_json_a1a84a7e944c3478f83d093c02ad9c6e_add (data) {\\n\",\n+ \" geo_json_a1a84a7e944c3478f83d093c02ad9c6e\\n\",\n+ \" .addData(data)\\n\",\n+ \" .addTo(map_bb529a40614b71994d4f3b84c24ff3c6);\\n\",\n+ \" }\\n\",\n+ \" geo_json_a1a84a7e944c3478f83d093c02ad9c6e_add({"features": [{"geometry": {"coordinates": [[[2.0, 43.0], [3.0, 43.0], [3.0, 44.0], [2.0, 44.0], [2.0, 43.0]]], "type": "Polygon"}, "id": "DEM1_SAR_DGE_30_20110216T174143_20140906T174215_ADS_000000_jSLP", "properties": {"abstract": "The Copernicus DEM is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. Data were acquired through the TanDEM-X mission between 2011 and 2015 [https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model].", "accessConstraint": {"description": {"shortName": "No license"}, "grantedCountries": null, "grantedFlags": null, "grantedOrganizationCountries": null, "hasToBeSigned": "never", "licenseId": "unlicensed", "signatureQuota": -1, "viewService": "public"}, "centroid": {"coordinates": [2.5, 43.5], "type": "Point"}, "completionTimeFromAscendingNode": "2014-09-06T17:42:15.000Z", "downloadLink": "https://zipper.creodias.eu/download/e2d2e6dd-198f-53b0-9b93-f898ab28cf8c", "eodag_product_type": "COP_DEM_GLO30_DGED", "eodag_provider": "creodias", "eodag_search_intersection": {"coordinates": [[[2.0, 43.9], [2.8, 43.9], [2.8, 43.2], [2.0, 43.2], [2.0, 43.9]]], "type": "Polygon"}, "gmlgeometry": "\\\\u003cgml:Polygon srsName=\\\\"EPSG:4326\\\\"\\\\u003e\\\\u003cgml:outerBoundaryIs\\\\u003e\\\\u003cgml:LinearRing\\\\u003e\\\\u003cgml:coordinates\\\\u003e2,43 3,43 3,44 2,44 2,43\\\\u003c/gml:coordinates\\\\u003e\\\\u003c/gml:LinearRing\\\\u003e\\\\u003c/gml:outerBoundaryIs\\\\u003e\\\\u003c/gml:Polygon\\\\u003e", "instrument": null, "keywords": "TerraSAR,TanDEM-X,COP-DEM,DEM,surface,GLO-30,DSM,GDGED", "license": "proprietary", "links": [{"href": "https://datahub.creodias.eu/resto/collections/COP-DEM/e2d2e6dd-198f-53b0-9b93-f898ab28cf8c.json", "rel": "self", "title": "GeoJSON link for e2d2e6dd-198f-53b0-9b93-f898ab28cf8c", "type": "application/json"}], "missionStartDate": "2010-06-21T00:00:00Z", "modificationDate": "2021-06-21T22:01:44.918Z", "orbitNumber": 0, "organisationName": "ESA", "parentIdentifier": null, "platform": "COP-DEM", "platformSerialIdentifier": "", "polarizationMode": "HH", "processingLevel": null, "productIdentifier": "/eodata/auxdata/CopDEM/COP-DEM_GLO-30-DGED/DEM1_SAR_DGE_30_20110216T174143_20140906T174215_ADS_000000_jSLP.DEM", "productType": "DGE_30", "publicationDate": "2021-06-21T22:01:44.918Z", "quicklook": null, "resolution": 30.0, "sensorMode": null, "sensorType": "ALTIMETRIC", "services": {"download": {"mimeType": "application/octet-stream", "size": 0, "url": "https://datahub.creodias.eu/download/e2d2e6dd-198f-53b0-9b93-f898ab28cf8c"}}, "snowCover": 0, "startTimeFromAscendingNode": "2011-02-16T17:41:43.000Z", "storageStatus": "ONLINE", "thumbnail": "https://datahub.creodias.eu/get-object?path=/auxdata/CopDEM/COP-DEM_GLO-30-DGED/DEM1_SAR_DGE_30_20110216T174143_20140906T174215_ADS_000000_jSLP.DEM/DEM1_SAR_DGE_30_20110216T174143_20140906T174215_ADS_000000_jSLP-ql.jpg", "title": "DEM1_SAR_DGE_30_20110216T174143_20140906T174215_ADS_000000_jSLP", "uid": "e2d2e6dd-198f-53b0-9b93-f898ab28cf8c"}, "type": "Feature"}, {"geometry": {"coordinates": [[[1.0, 43.0], [2.0, 43.0], [2.0, 44.0], [1.0, 44.0], [1.0, 43.0]]], "type": "Polygon"}, "id": "DEM1_SAR_DGE_30_20110417T175032_20140906T174215_ADS_000000_PIJx", "properties": {"abstract": "The Copernicus DEM is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. Data were acquired through the TanDEM-X mission between 2011 and 2015 [https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model].", "accessConstraint": {"description": {"shortName": "No license"}, "grantedCountries": null, "grantedFlags": null, "grantedOrganizationCountries": null, "hasToBeSigned": "never", "licenseId": "unlicensed", "signatureQuota": -1, "viewService": "public"}, "centroid": {"coordinates": [1.5, 43.5], "type": "Point"}, "completionTimeFromAscendingNode": "2014-09-06T17:42:15.000Z", "downloadLink": "https://zipper.creodias.eu/download/6aead0d1-5def-5c1d-a20d-f1597e1e4b6c", "eodag_product_type": "COP_DEM_GLO30_DGED", "eodag_provider": "creodias", "eodag_search_intersection": {"coordinates": [[[2.0, 43.2], [1.0, 43.2], [1.0, 43.9], [2.0, 43.9], [2.0, 43.2]]], "type": "Polygon"}, "gmlgeometry": "\\\\u003cgml:Polygon srsName=\\\\"EPSG:4326\\\\"\\\\u003e\\\\u003cgml:outerBoundaryIs\\\\u003e\\\\u003cgml:LinearRing\\\\u003e\\\\u003cgml:coordinates\\\\u003e1,43 2,43 2,44 1,44 1,43\\\\u003c/gml:coordinates\\\\u003e\\\\u003c/gml:LinearRing\\\\u003e\\\\u003c/gml:outerBoundaryIs\\\\u003e\\\\u003c/gml:Polygon\\\\u003e", "instrument": null, "keywords": "TerraSAR,TanDEM-X,COP-DEM,DEM,surface,GLO-30,DSM,GDGED", "license": "proprietary", "links": [{"href": "https://datahub.creodias.eu/resto/collections/COP-DEM/6aead0d1-5def-5c1d-a20d-f1597e1e4b6c.json", "rel": "self", "title": "GeoJSON link for 6aead0d1-5def-5c1d-a20d-f1597e1e4b6c", "type": "application/json"}], "missionStartDate": "2010-06-21T00:00:00Z", "modificationDate": "2021-06-21T19:59:05.813Z", "orbitNumber": 0, "organisationName": "ESA", "parentIdentifier": null, "platform": "COP-DEM", "platformSerialIdentifier": "", "polarizationMode": "HH", "processingLevel": null, "productIdentifier": "/eodata/auxdata/CopDEM/COP-DEM_GLO-30-DGED/DEM1_SAR_DGE_30_20110417T175032_20140906T174215_ADS_000000_PIJx.DEM", "productType": "DGE_30", "publicationDate": "2021-06-21T19:59:05.813Z", "quicklook": null, "resolution": 30.0, "sensorMode": null, "sensorType": "ALTIMETRIC", "services": {"download": {"mimeType": "application/octet-stream", "size": 0, "url": "https://datahub.creodias.eu/download/6aead0d1-5def-5c1d-a20d-f1597e1e4b6c"}}, "snowCover": 0, "startTimeFromAscendingNode": "2011-04-17T17:50:32.000Z", "storageStatus": "ONLINE", "thumbnail": "https://datahub.creodias.eu/get-object?path=/auxdata/CopDEM/COP-DEM_GLO-30-DGED/DEM1_SAR_DGE_30_20110417T175032_20140906T174215_ADS_000000_PIJx.DEM/DEM1_SAR_DGE_30_20110417T175032_20140906T174215_ADS_000000_PIJx-ql.jpg", "title": "DEM1_SAR_DGE_30_20110417T175032_20140906T174215_ADS_000000_PIJx", "uid": "6aead0d1-5def-5c1d-a20d-f1597e1e4b6c"}, "type": "Feature"}, {"geometry": {"coordinates": [[[-0.0, 43.0], [1.0, 43.0], [1.0, 44.0], [-0.0, 44.0], [-0.0, 43.0]]], "type": "Polygon"}, "id": "DEM1_SAR_DGE_30_20110428T174952_20140831T175054_ADS_000000_Q3FX", "properties": {"abstract": "The Copernicus DEM is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. Data were acquired through the TanDEM-X mission between 2011 and 2015 [https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model].", "accessConstraint": {"description": {"shortName": "No license"}, "grantedCountries": null, "grantedFlags": null, "grantedOrganizationCountries": null, "hasToBeSigned": "never", "licenseId": "unlicensed", "signatureQuota": -1, "viewService": "public"}, "centroid": {"coordinates": [0.5, 43.5], "type": "Point"}, "completionTimeFromAscendingNode": "2014-08-31T17:50:54.000Z", "downloadLink": "https://zipper.creodias.eu/download/2f73582e-a3ea-53c9-8578-73f333d9e14b", "eodag_product_type": "COP_DEM_GLO30_DGED", "eodag_provider": "creodias", "eodag_search_intersection": {"coordinates": [[[1.0, 43.2], [0.25, 43.2], [0.25, 43.9], [1.0, 43.9], [1.0, 43.2]]], "type": "Polygon"}, "gmlgeometry": "\\\\u003cgml:Polygon srsName=\\\\"EPSG:4326\\\\"\\\\u003e\\\\u003cgml:outerBoundaryIs\\\\u003e\\\\u003cgml:LinearRing\\\\u003e\\\\u003cgml:coordinates\\\\u003e0,43 1,43 1,44 0,44 0,43\\\\u003c/gml:coordinates\\\\u003e\\\\u003c/gml:LinearRing\\\\u003e\\\\u003c/gml:outerBoundaryIs\\\\u003e\\\\u003c/gml:Polygon\\\\u003e", "instrument": null, "keywords": "TerraSAR,TanDEM-X,COP-DEM,DEM,surface,GLO-30,DSM,GDGED", "license": "proprietary", "links": [{"href": "https://datahub.creodias.eu/resto/collections/COP-DEM/2f73582e-a3ea-53c9-8578-73f333d9e14b.json", "rel": "self", "title": "GeoJSON link for 2f73582e-a3ea-53c9-8578-73f333d9e14b", "type": "application/json"}], "missionStartDate": "2010-06-21T00:00:00Z", "modificationDate": "2021-06-21T19:39:33.821Z", "orbitNumber": 0, "organisationName": "ESA", "parentIdentifier": null, "platform": "COP-DEM", "platformSerialIdentifier": "", "polarizationMode": "HH", "processingLevel": null, "productIdentifier": "/eodata/auxdata/CopDEM/COP-DEM_GLO-30-DGED/DEM1_SAR_DGE_30_20110428T174952_20140831T175054_ADS_000000_Q3FX.DEM", "productType": "DGE_30", "publicationDate": "2021-06-21T19:39:33.821Z", "quicklook": null, "resolution": 30.0, "sensorMode": null, "sensorType": "ALTIMETRIC", "services": {"download": {"mimeType": "application/octet-stream", "size": 0, "url": "https://datahub.creodias.eu/download/2f73582e-a3ea-53c9-8578-73f333d9e14b"}}, "snowCover": 0, "startTimeFromAscendingNode": "2011-04-28T17:49:52.000Z", "storageStatus": "ONLINE", "thumbnail": "https://datahub.creodias.eu/get-object?path=/auxdata/CopDEM/COP-DEM_GLO-30-DGED/DEM1_SAR_DGE_30_20110428T174952_20140831T175054_ADS_000000_Q3FX.DEM/DEM1_SAR_DGE_30_20110428T174952_20140831T175054_ADS_000000_Q3FX-ql.jpg", "title": "DEM1_SAR_DGE_30_20110428T174952_20140831T175054_ADS_000000_Q3FX", "uid": "2f73582e-a3ea-53c9-8578-73f333d9e14b"}, "type": "Feature"}], "type": "FeatureCollection"});\\n\",\n+ \"\\n\",\n+ \" \\n\",\n+ \" \\n\",\n+ \" geo_json_a1a84a7e944c3478f83d093c02ad9c6e.bindTooltip(\\n\",\n+ \" function(layer){\\n\",\n+ \" let div = L.DomUtil.create('div');\\n\",\n+ \" \\n\",\n+ \" let handleObject = feature=>typeof(feature)=='object' ? JSON.stringify(feature) : feature;\\n\",\n+ \" let fields = ["title"];\\n\",\n+ \" let aliases = ["title"];\\n\",\n+ \" let table = '<table>' +\\n\",\n+ \" String(\\n\",\n+ \" fields.map(\\n\",\n+ \" (v,i)=>\\n\",\n+ \" `<tr>\\n\",\n+ \" <th>${aliases[i]}</th>\\n\",\n+ \" \\n\",\n+ \" <td>${handleObject(layer.feature.properties[v])}</td>\\n\",\n+ \" </tr>`).join(''))\\n\",\n+ \" +'</table>';\\n\",\n+ \" div.innerHTML=table;\\n\",\n+ \" \\n\",\n+ \" return div\\n\",\n+ \" }\\n\",\n+ \" ,{"className": "foliumtooltip", "sticky": true});\\n\",\n+ \" \\n\",\n+ \"</script>\\n\",\n+ \"</html>\\\" style=\\\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\\\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>\"\n+ ],\n \"text/plain\": [\n- \"Map(center=[43.53, 1.33], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zoom_ou…\"\n+ \"<folium.folium.Map at 0x7ff440363760>\"\n ]\n },\n+ \"execution_count\": 6,\n \"metadata\": {},\n- \"output_type\": \"display_data\"\n+ \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n- \"import ipyleaflet as ipyl\\n\",\n- \"import ipywidgets as widgets\\n\",\n- \"\\n\",\n- \"center = [43.53, 1.33] # Toulouse\\n\",\n- \"zoom = 6\\n\",\n- \"m = ipyl.Map(center=center, zoom=zoom)\\n\",\n- \"\\n\",\n- \"def clear_m():\\n\",\n- \" global drawn_polygons\\n\",\n- \" drawn_polygons = set()\\n\",\n- \"\\n\",\n- \"clear_m()\\n\",\n- \"\\n\",\n- \"myDrawControl = ipyl.DrawControl(polygon={'shapeOptions':{'color':'#00F'}}, circlemarker={}, polyline={})\\n\",\n- \"\\n\",\n- \"def handle_draw(self, action, geo_json):\\n\",\n- \" global drawn_polygons, m\\n\",\n- \" polygon=[]\\n\",\n- \" for coords in geo_json['geometry']['coordinates'][0][:-1][:]:\\n\",\n- \" polygon.append(tuple(coords))\\n\",\n- \" polygon = tuple(polygon)\\n\",\n- \" if action == 'created':\\n\",\n- \" drawn_polygons.add(polygon)\\n\",\n- \" elif action == 'deleted':\\n\",\n- \" drawn_polygons.discard(polygon)\\n\",\n- \" # clear found tiles\\n\",\n- \" for l in m.layers[1:]:\\n\",\n- \" m.remove_layer(l)\\n\",\n+ \"import folium\\n\",\n \"\\n\",\n- \"myDrawControl.on_draw(handle_draw)\\n\",\n- \"m.add_control(myDrawControl)\\n\",\n- \"m\"\n+ \"# Create a map zoomed over the search area\\n\",\n+ \"fmap = folium.Map([43.5, 1.5], zoom_start=8)\\n\",\n+ \"# Create a layer that represents the search area in red\\n\",\n+ \"folium.Rectangle(\\n\",\n+ \" bounds=[search_geom[0:2][::-1], search_geom[2:4][::-1]],\\n\",\n+ \" color=\\\"red\\\",\\n\",\n+ \" tooltip=\\\"Search extent\\\"\\n\",\n+ \").add_to(fmap)\\n\",\n+ \"# Create a layer that maps the products found\\n\",\n+ \"folium.GeoJson(\\n\",\n+ \" data=search_result, # SearchResult has a __geo_interface__ interface used by folium to get its GeoJSON representation\\n\",\n+ \" tooltip=folium.GeoJsonTooltip(fields=[\\\"title\\\"])\\n\",\n+ \").add_to(fmap)\\n\",\n+ \"fmap\\n\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n- \"Filter using drawn geometry and show on map:\"\n+ \"## Download the DEM files to workspace\"\n ]\n },\n {\n- \"cell_type\": \"code\",\n- \"execution_count\": 9,\n+ \"cell_type\": \"markdown\",\n \"metadata\": {},\n- \"outputs\": [\n- {\n- \"name\": \"stdout\",\n- \"output_type\": \"stream\",\n- \"text\": [\n- \"Found 3 products intersecting given geometry\\n\"\n- ]\n- }\n- ],\n \"source\": [\n- \"from shapely.geometry import Polygon\\n\",\n- \"\\n\",\n- \"filtered_by_geom = []\\n\",\n- \"if drawn_polygons:\\n\",\n- \" drawn_polygon = Polygon(list(next(iter(drawn_polygons))))\\n\",\n- \" \\n\",\n- \" # Filter products\\n\",\n- \" filtered_by_geom = items.filter_overlap(\\n\",\n- \" intersects=True,\\n\",\n- \" geometry=drawn_polygon\\n\",\n- \" )\\n\",\n- \" print(\\\"Found %s products intersecting given geometry\\\" % len(filtered_by_geom))\\n\",\n- \" \\n\",\n- \" # show on map\\n\",\n- \" filtered_by_geom_layer = ipyl.GeoJSON(data=filtered_by_geom.as_geojson_object(), style=dict(color='green'))\\n\",\n- \" m.add_layer(filtered_by_geom_layer)\"\n+ \"Make sure credentials were set for the provider. Here we will download on `creodias` that needs an additionnal [TOTP](https://eodag.readthedocs.io/en/latest/getting_started_guide/configure.html?#use-otp-through-python-code) key:\"\n ]\n },\n {\n- \"cell_type\": \"markdown\",\n+ \"cell_type\": \"code\",\n+ \"execution_count\": 7,\n \"metadata\": {},\n+ \"outputs\": [],\n \"source\": [\n- \"## Download the filtered DEM files to workspace\"\n+ \"dag.update_providers_config(\\n\",\n+ \" \\\"\\\"\\\"\\n\",\n+ \" creodias:\\n\",\n+ \" auth:\\n\",\n+ \" credentials:\\n\",\n+ \" totp: PLEASE_CHANGE_ME\\n\",\n+ \" \\\"\\\"\\\"\\n\",\n+ \")\"\n ]\n },\n {\n \"cell_type\": \"code\",\n- \"execution_count\": 10,\n- \"metadata\": {\n- \"scrolled\": false\n- },\n+ \"execution_count\": 8,\n+ \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"application/vnd.jupyter.widget-view+json\": {\n- \"model_id\": \"933fb7aeb68c4262958585dcb39aad00\",\n+ \"model_id\": \"fd6a84d656e0487a8486add5d0649b64\",\n \"version_major\": 2,\n \"version_minor\": 0\n },\n \"text/plain\": [\n- \"Downloaded products: 0%| | 0/3 [00:00<?, ?product/s]\"\n+ \"Downloaded products: 0%| …\"\n ]\n },\n \"metadata\": {},\n@@ -313,12 +373,12 @@\n {\n \"data\": {\n \"application/vnd.jupyter.widget-view+json\": {\n- \"model_id\": \"562166e129f946aca4bf7c084ec9c2be\",\n+ \"model_id\": \"2fb43b78b98d47d6aa87b6fe3cdfb7eb\",\n \"version_major\": 2,\n \"version_minor\": 0\n },\n \"text/plain\": [\n- \"Copernicus_DSM_COG_10_N42_00_E001_00_DEM: 0%| | 0.00/42.6M [00:00<?, ?B/s]\"\n+ \"0.00B [00:00, ?B/s]\"\n ]\n },\n \"metadata\": {},\n@@ -326,29 +386,64 @@\n },\n {\n \"data\": {\n+ \"application/vnd.jupyter.widget-view+json\": {\n+ \"model_id\": \"db221a0eb62e4a97b948582baf6c928b\",\n+ \"version_major\": 2,\n+ \"version_minor\": 0\n+ },\n \"text/plain\": [\n- \"['/home/sylvain/workspace/eodag/examples/eodag_workspace_copdem/Copernicus_DSM_COG_10_N42_00_E001_00_DEM',\\n\",\n- \" '/home/sylvain/workspace/eodag/examples/eodag_workspace_copdem/Copernicus_DSM_COG_10_N43_00_E001_00_DEM',\\n\",\n- \" '/home/sylvain/workspace/eodag/examples/eodag_workspace_copdem/Copernicus_DSM_COG_10_N42_00_E002_00_DEM']\"\n+ \"0.00B [00:00, ?B/s]\"\n ]\n },\n- \"execution_count\": 10,\n+ \"metadata\": {},\n+ \"output_type\": \"display_data\"\n+ },\n+ {\n+ \"data\": {\n+ \"application/vnd.jupyter.widget-view+json\": {\n+ \"model_id\": \"fddf46d0e3214180bc84a735a3b42920\",\n+ \"version_major\": 2,\n+ \"version_minor\": 0\n+ },\n+ \"text/plain\": [\n+ \"0.00B [00:00, ?B/s]\"\n+ ]\n+ },\n+ \"metadata\": {},\n+ \"output_type\": \"display_data\"\n+ },\n+ {\n+ \"data\": {\n+ \"text/plain\": [\n+ \"['/home/sylvain/workspace/eodag/docs/notebooks/tutos/eodag_workspace_copdem/DEM1_SAR_DGE_30_20110216T174143_20140906T174215_ADS_000000_jSLP/DEM1_SAR_DGE_30_20110216T174143_20140906T174215_ADS_000000_jSLP.DEM',\\n\",\n+ \" '/home/sylvain/workspace/eodag/docs/notebooks/tutos/eodag_workspace_copdem/DEM1_SAR_DGE_30_20110428T174952_20140831T175054_ADS_000000_Q3FX/DEM1_SAR_DGE_30_20110428T174952_20140831T175054_ADS_000000_Q3FX.DEM',\\n\",\n+ \" '/home/sylvain/workspace/eodag/docs/notebooks/tutos/eodag_workspace_copdem/DEM1_SAR_DGE_30_20110417T175032_20140906T174215_ADS_000000_PIJx/DEM1_SAR_DGE_30_20110417T175032_20140906T174215_ADS_000000_PIJx.DEM']\"\n+ ]\n+ },\n+ \"execution_count\": 8,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"paths = dag.download_all(\\n\",\n- \" filtered_by_geom, \\n\",\n+ \" search_result, \\n\",\n \" outputs_prefix=workspace,\\n\",\n \")\\n\",\n \"paths\"\n ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": []\n }\n ],\n \"metadata\": {\n \"kernelspec\": {\n- \"display_name\": \"Python 3\",\n+ \"display_name\": \"Python 3 (ipykernel)\",\n \"language\": \"python\",\n \"name\": \"python3\"\n },\n@@ -362,7 +457,7 @@\n \"name\": \"python\",\n \"nbconvert_exporter\": \"python\",\n \"pygments_lexer\": \"ipython3\",\n- \"version\": \"3.8.5\"\n+ \"version\": \"3.10.12\"\n },\n \"widgets\": {\n \"application/vnd.jupyter.widget-state+json\": {\n@@ -9577,5 +9672,5 @@\n }\n },\n \"nbformat\": 4,\n- \"nbformat_minor\": 2\n+ \"nbformat_minor\": 4\n }\ndiff --git a/eodag/resources/product_types.yml b/eodag/resources/product_types.yml\nindex d5840879..bfab67b8 100644\n--- a/eodag/resources/product_types.yml\n+++ b/eodag/resources/product_types.yml\n@@ -2923,22 +2923,69 @@ EFAS_SEASONAL_REFORECAST:\n missionEndDate: \"2020-10-01T00:00:00Z\"\n \n # COPERNICUS Digital Elevation Model\n-COP_DEM_GLO30:\n- abstract: |\n- The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings,\n- infrastructure and vegetation. We provide two instances of Copernicus DEM named GLO-30 Public and GLO-90. GLO-30\n- provides worldwide coverage at 30 meters. Note that ocean areas do not have tiles, there one can assume height\n- values equal to zero. Data is provided as Cloud Optimized GeoTIFFs. Several releases are currently available for\n- all Copernicus DEM instances, only the last one is provided as 2022 release. A full collection of tiles can be\n- found via FTP and PANDA Catalogue under dataset names marked with '2022_1'.\n+COP_DEM_GLO30_DGED:\n+ abstract: |\n+ Defence Gridded Elevation Data (DGED) formatted Copernicus DEM GLO-30 data.\n+ The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth\n+ including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10,\n+ GLO-30 and GLO-90. GLO-30 provides worldwide coverage at 30 meters.Data were acquired through the TanDEM-X mission\n+ between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026.\n+ instrument:\n+ platform: TerraSAR\n+ platformSerialIdentifier:\n+ processingLevel:\n+ keywords: TerraSAR,TanDEM-X,DEM,surface,GLO-30,DSM,GDGED\n+ sensorType: ALTIMETRIC\n+ license: proprietary\n+ title: Copernicus DEM GLO-30 DGED\n+ missionStartDate: \"2010-06-21T00:00:00Z\"\n+COP_DEM_GLO30_DTED:\n+ abstract: |\n+ Digital Terrain Elevation Data (DTED) formatted Copernicus DEM GLO-30 data.\n+ The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth\n+ including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10,\n+ GLO-30 and GLO-90. GLO-30 provides worldwide coverage at 30 meters.Data were acquired through the TanDEM-X mission\n+ between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026.\n+ instrument:\n+ platform: TerraSAR\n+ platformSerialIdentifier:\n+ processingLevel:\n+ keywords: TerraSAR,TanDEM-X,DEM,surface,GLO-30,DSM,DTED\n+ sensorType: ALTIMETRIC\n+ license: proprietary\n+ title: Copernicus DEM GLO-30 DTED\n+ missionStartDate: \"2010-06-21T00:00:00Z\"\n+COP_DEM_GLO90_DGED:\n+ abstract: |\n+ Defence Gridded Elevation Data (DGED) formatted Copernicus DEM GLO-90 data.\n+ The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth\n+ including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10,\n+ GLO-30 and GLO-90. GLO-90 provides worldwide coverage at 90 meters.Data were acquired through the TanDEM-X mission\n+ between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026.\n+ instrument:\n+ platform: TerraSAR\n+ platformSerialIdentifier:\n+ processingLevel:\n+ keywords: TerraSAR,TanDEM-X,DEM,surface,GLO-90,DSM,GDGED\n+ sensorType: ALTIMETRIC\n+ license: proprietary\n+ title: Copernicus DEM GLO-90 DGED\n+ missionStartDate: \"2010-06-21T00:00:00Z\"\n+COP_DEM_GLO90_DTED:\n+ abstract: |\n+ Digital Terrain Elevation Data (DTED) formatted Copernicus DEM GLO-90 data.\n+ The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth\n+ including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10,\n+ GLO-30 and GLO-90. GLO-90 provides worldwide coverage at 90 meters.Data were acquired through the TanDEM-X mission\n+ between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026.\n instrument:\n platform: TerraSAR\n platformSerialIdentifier:\n processingLevel:\n- keywords: TerraSAR,TanDEM-X,DEM,surface,GLO-30,DSM\n+ keywords: TerraSAR,TanDEM-X,DEM,surface,GLO-90,DSM,DTED\n sensorType: ALTIMETRIC\n license: proprietary\n- title: COPERNICUS Digital Elevation Model (GLO-30)\n+ title: Copernicus DEM GLO-90 DTED\n missionStartDate: \"2010-06-21T00:00:00Z\"\n \n # Copernicus Land Monitoring Service\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex 5fed056b..187a7680 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -1192,6 +1192,27 @@\n S5P_L2_SO2:\n productType: L2__SO2___\n collection: Sentinel5P\n+ # COP DEM\n+ COP_DEM_GLO30_DGED:\n+ productType: DGE_30\n+ collection: CopDem\n+ metadata_mapping:\n+ cloudCover: '$.null'\n+ COP_DEM_GLO30_DTED:\n+ productType: DTE_30\n+ collection: CopDem\n+ metadata_mapping:\n+ cloudCover: '$.null'\n+ COP_DEM_GLO90_DGED:\n+ productType: DGE_90\n+ collection: CopDem\n+ metadata_mapping:\n+ cloudCover: '$.null'\n+ COP_DEM_GLO90_DTED:\n+ productType: DTE_90\n+ collection: CopDem\n+ metadata_mapping:\n+ cloudCover: '$.null'\n GENERIC_PRODUCT_TYPE:\n productType: '{productType}'\n collection: '{collection}'\n@@ -4043,7 +4064,7 @@\n processingLevel:\n - '{{\"stringChoiceValues\": [{{\"name\": \"processingLevel\", \"value\": \"{processingLevel}\"}}]}}'\n - '{$.productInfo.product#get_processing_level_from_s5p_id}'\n- COP_DEM_GLO30:\n+ COP_DEM_GLO30_DGED:\n productType: EO:DEM:DAT:COP-DEM_GLO-30-DGED__2022_1\n metadata_mapping:\n id:\n@@ -4052,6 +4073,15 @@\n startTimeFromAscendingNode: '$.productInfo.productStartDate'\n completionTimeFromAscendingNode: '$.productInfo.productEndDate'\n defaultGeometry: '-180 -90 180 90'\n+ COP_DEM_GLO90_DGED:\n+ productType: EO:DEM:DAT:COP-DEM_GLO-90-DGED__2022_1\n+ metadata_mapping:\n+ id:\n+ - '{{\"boundingBoxValues\": [{{\"name\": \"bbox\", \"bbox\": {id#split_cop_dem_id}}}]}}'\n+ - '{$.productInfo.product#remove_extension}'\n+ startTimeFromAscendingNode: '$.productInfo.productStartDate'\n+ completionTimeFromAscendingNode: '$.productInfo.productEndDate'\n+ defaultGeometry: '-180 -90 180 90'\n CLMS_CORINE:\n productType: EO:CLMS:DAT:CORINE\n providerProductType: \"Corine Land Cover 2018\"\ndiff --git a/eodag/resources/user_conf_template.yml b/eodag/resources/user_conf_template.yml\nindex 94720ee8..e605eae2 100644\n--- a/eodag/resources/user_conf_template.yml\n+++ b/eodag/resources/user_conf_template.yml\n@@ -202,9 +202,9 @@ hydroweb_next:\n wekeo:\n priority: # Lower value means lower priority (Default: 0)\n search:\n- outputs_prefix:\n- credentials:\n- username:\n- password:\n download:\n outputs_prefix:\n+ auth:\n+ credentials:\n+ username:\n+ password:\n"},"problem_statement":{"kind":"string","value":"Support COP-DEM (30 / 90m) retrieval from creodias\n**Is your feature request related to a problem? Please describe.**\r\n\r\nCreodias provides the COP DEM at 30 m and 90m on the finder: https://finder.creodias.eu/resto/api/collections/CopDem/search.json?maxRecords=10&resolution=30&geometry=POLYGON((1.2779813430646272+43.66703702416669%2C1.2685850331328663+43.496872606474625%2C1.5442101244645277+43.496872606474625%2C1.5473422277751145+43.65797373066451%2C1.2779813430646272+43.66703702416669))&sortParam=startDate&sortOrder=descending&status=all&dataset=ESA-DATASET\r\n\r\nI could be interesting for the users and the WorldCereal project to get this data with EODAG\r\n\r\n**Additional context**\r\nLinked to WorldCereal project\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex 430eb40c..421d2236 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -92,17 +92,50 @@ class TestCore(TestCoreBase):\n \"CBERS4_PAN10M_L4\": [\"aws_eos\"],\n \"CBERS4_PAN5M_L2\": [\"aws_eos\"],\n \"CBERS4_PAN5M_L4\": [\"aws_eos\"],\n- \"ERA5_SL\": [\"cop_cds\"],\n+ \"CLMS_CORINE\": [\"wekeo\"],\n+ \"CLMS_GLO_DMP_333M\": [\"wekeo\"],\n+ \"CLMS_GLO_FAPAR_333M\": [\"wekeo\"],\n+ \"CLMS_GLO_FCOVER_333M\": [\"wekeo\"],\n+ \"CLMS_GLO_GDMP_333M\": [\"wekeo\"],\n+ \"CLMS_GLO_LAI_333M\": [\"wekeo\"],\n+ \"CLMS_GLO_NDVI_1KM_LTS\": [\"wekeo\"],\n+ \"CLMS_GLO_NDVI_333M\": [\"wekeo\"],\n+ \"COP_DEM_GLO30_DGED\": [\"creodias\", \"wekeo\"],\n+ \"COP_DEM_GLO30_DTED\": [\"creodias\"],\n+ \"COP_DEM_GLO90_DGED\": [\"creodias\", \"wekeo\"],\n+ \"COP_DEM_GLO90_DTED\": [\"creodias\"],\n+ \"EEA_DAILY_SSM_1KM\": [\"wekeo\"],\n+ \"EEA_DAILY_SWI_1KM\": [\"wekeo\"],\n+ \"EEA_DAILY_VI\": [\"wekeo\"],\n+ \"EFAS_FORECAST\": [\"wekeo\"],\n+ \"EFAS_HISTORICAL\": [\"wekeo\"],\n+ \"EFAS_REFORECAST\": [\"wekeo\"],\n+ \"EFAS_SEASONAL\": [\"wekeo\"],\n+ \"EFAS_SEASONAL_REFORECAST\": [\"wekeo\"],\n+ \"ERA5_LAND\": [\"wekeo\"],\n+ \"ERA5_LAND_MONTHLY\": [\"wekeo\"],\n+ \"ERA5_PL\": [\"wekeo\"],\n+ \"ERA5_PL_MONTHLY\": [\"wekeo\"],\n+ \"ERA5_SL\": [\"cop_cds\", \"wekeo\"],\n+ \"ERA5_SL_MONTHLY\": [\"wekeo\"],\n+ \"FIRE_HISTORICAL\": [\"wekeo\"],\n+ \"GLACIERS_DIST_RANDOLPH\": [\"wekeo\"],\n+ \"GLACIERS_ELEVATION_AND_MASS_CHANGE\": [\"wekeo\"],\n+ \"GLOFAS_FORECAST\": [\"wekeo\"],\n+ \"GLOFAS_HISTORICAL\": [\"wekeo\"],\n+ \"GLOFAS_REFORECAST\": [\"wekeo\"],\n+ \"GLOFAS_SEASONAL\": [\"wekeo\"],\n+ \"GLOFAS_SEASONAL_REFORECAST\": [\"wekeo\"],\n \"L57_REFLECTANCE\": [\"theia\"],\n \"L8_OLI_TIRS_C1L1\": [\"aws_eos\", \"earth_search\", \"earth_search_gcs\", \"onda\"],\n \"L8_REFLECTANCE\": [\"theia\"],\n \"LANDSAT_C2L1\": [\n \"astraea_eod\",\n+ \"planetary_computer\",\n \"usgs\",\n \"usgs_satapi_aws\",\n- \"planetary_computer\",\n ],\n- \"LANDSAT_C2L2\": [\"usgs\", \"planetary_computer\"],\n+ \"LANDSAT_C2L2\": [\"planetary_computer\", \"usgs\"],\n \"LANDSAT_C2L2ALB_BT\": [\"usgs_satapi_aws\"],\n \"LANDSAT_C2L2ALB_SR\": [\"usgs_satapi_aws\"],\n \"LANDSAT_C2L2ALB_ST\": [\"usgs_satapi_aws\"],\n@@ -132,12 +165,21 @@ class TestCore(TestCoreBase):\n \"mundi\",\n \"onda\",\n \"peps\",\n- \"sara\",\n \"planetary_computer\",\n+ \"sara\",\n+ \"wekeo\",\n ],\n \"S1_SAR_OCN\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"peps\", \"sara\"],\n \"S1_SAR_RAW\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\"],\n- \"S1_SAR_SLC\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"peps\", \"sara\"],\n+ \"S1_SAR_SLC\": [\n+ \"cop_dataspace\",\n+ \"creodias\",\n+ \"mundi\",\n+ \"onda\",\n+ \"peps\",\n+ \"sara\",\n+ \"wekeo\",\n+ ],\n \"S2_MSI_L1C\": [\n \"astraea_eod\",\n \"aws_eos\",\n@@ -150,6 +192,7 @@ class TestCore(TestCoreBase):\n \"peps\",\n \"sara\",\n \"usgs\",\n+ \"wekeo\",\n ],\n \"S2_MSI_L2A\": [\n \"astraea_eod\",\n@@ -160,36 +203,67 @@ class TestCore(TestCoreBase):\n \"mundi\",\n \"onda\",\n \"peps\",\n- \"sara\",\n \"planetary_computer\",\n+ \"sara\",\n+ \"wekeo\",\n ],\n \"S2_MSI_L2A_COG\": [\"earth_search_cog\"],\n \"S2_MSI_L2A_MAJA\": [\"theia\"],\n \"S2_MSI_L2B_MAJA_SNOW\": [\"theia\"],\n \"S2_MSI_L2B_MAJA_WATER\": [\"theia\"],\n \"S2_MSI_L3A_WASP\": [\"theia\"],\n- \"S3_EFR\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_ERR\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_LAN\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_OLCI_L2LFR\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_OLCI_L2LRR\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_OLCI_L2WFR\": [\"cop_dataspace\", \"creodias\", \"onda\", \"sara\"],\n- \"S3_OLCI_L2WRR\": [\"cop_dataspace\", \"creodias\", \"onda\", \"sara\"],\n+ \"S3_EFR\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\", \"wekeo\"],\n+ \"S3_ERR\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\", \"wekeo\"],\n+ \"S3_LAN\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\", \"wekeo\"],\n+ \"S3_OLCI_L2LFR\": [\n+ \"cop_dataspace\",\n+ \"creodias\",\n+ \"mundi\",\n+ \"onda\",\n+ \"sara\",\n+ \"wekeo\",\n+ ],\n+ \"S3_OLCI_L2LRR\": [\n+ \"cop_dataspace\",\n+ \"creodias\",\n+ \"mundi\",\n+ \"onda\",\n+ \"sara\",\n+ \"wekeo\",\n+ ],\n+ \"S3_OLCI_L2WFR\": [\"cop_dataspace\", \"creodias\", \"onda\", \"sara\", \"wekeo\"],\n+ \"S3_OLCI_L2WRR\": [\"cop_dataspace\", \"creodias\", \"onda\", \"sara\", \"wekeo\"],\n \"S3_RAC\": [\"sara\"],\n- \"S3_SLSTR_L1RBT\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_SLSTR_L2AOD\": [\"cop_dataspace\", \"creodias\", \"sara\"],\n- \"S3_SLSTR_L2FRP\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n+ \"S3_SLSTR_L1RBT\": [\n+ \"cop_dataspace\",\n+ \"creodias\",\n+ \"mundi\",\n+ \"onda\",\n+ \"sara\",\n+ \"wekeo\",\n+ ],\n+ \"S3_SLSTR_L2\": [\"wekeo\"],\n+ \"S3_SLSTR_L2AOD\": [\"cop_dataspace\", \"creodias\", \"sara\", \"wekeo\"],\n+ \"S3_SLSTR_L2FRP\": [\n+ \"cop_dataspace\",\n+ \"creodias\",\n+ \"mundi\",\n+ \"onda\",\n+ \"sara\",\n+ \"wekeo\",\n+ ],\n \"S3_SLSTR_L2LST\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_SLSTR_L2WST\": [\"cop_dataspace\", \"creodias\", \"onda\", \"sara\"],\n- \"S3_SRA\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_SRA_A\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_SRA_BS\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n+ \"S3_SLSTR_L2WST\": [\"cop_dataspace\", \"creodias\", \"onda\", \"sara\", \"wekeo\"],\n+ \"S3_SRA\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\", \"wekeo\"],\n+ \"S3_SRA_A\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\", \"wekeo\"],\n+ \"S3_SRA_BS\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\", \"wekeo\"],\n \"S3_SY_AOD\": [\"cop_dataspace\", \"creodias\", \"onda\", \"sara\"],\n- \"S3_SY_SYN\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n+ \"S3_SY_SYN\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\", \"wekeo\"],\n \"S3_SY_V10\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n \"S3_SY_VG1\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n \"S3_SY_VGP\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\", \"sara\"],\n- \"S3_WAT\": [\"cop_dataspace\", \"creodias\", \"onda\", \"sara\"],\n+ \"S3_WAT\": [\"cop_dataspace\", \"creodias\", \"onda\", \"sara\", \"wekeo\"],\n+ \"S5P_L1B2_IR_ALL\": [\"wekeo\"],\n \"S5P_L1B_IR_SIR\": [\"creodias\", \"mundi\"],\n \"S5P_L1B_IR_UVN\": [\"creodias\", \"mundi\"],\n \"S5P_L1B_RA_BD1\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\"],\n@@ -214,10 +288,21 @@ class TestCore(TestCoreBase):\n \"S5P_L2_O3_PR\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\"],\n \"S5P_L2_O3_TCL\": [\"creodias\", \"mundi\"],\n \"S5P_L2_SO2\": [\"cop_dataspace\", \"creodias\", \"mundi\", \"onda\"],\n+ \"SATELLITE_CARBON_DIOXIDE\": [\"wekeo\"],\n+ \"SATELLITE_METHANE\": [\"wekeo\"],\n+ \"SATELLITE_SEA_LEVEL_BLACK_SEA\": [\"wekeo\"],\n+ \"SEASONAL_MONTHLY_PL\": [\"wekeo\"],\n+ \"SEASONAL_MONTHLY_SL\": [\"wekeo\"],\n+ \"SEASONAL_ORIGINAL_PL\": [\"wekeo\"],\n+ \"SEASONAL_ORIGINAL_SL\": [\"wekeo\"],\n+ \"SEASONAL_POSTPROCESSED_PL\": [\"wekeo\"],\n+ \"SEASONAL_POSTPROCESSED_SL\": [\"wekeo\"],\n+ \"SIS_HYDRO_MET_PROJ\": [\"wekeo\"],\n \"SPOT5_SPIRIT\": [\"theia\"],\n \"SPOT_SWH\": [\"theia\"],\n \"SPOT_SWH_OLD\": [\"theia\"],\n \"TIGGE_CF_SFC\": [\"ecmwf\"],\n+ \"UERRA_EUROPE_SL\": [\"wekeo\"],\n \"VENUS_L1C\": [\"theia\"],\n \"VENUS_L2A_MAJA\": [\"theia\"],\n \"VENUS_L3A_MAJA\": [\"theia\"],\n@@ -263,6 +348,7 @@ class TestCore(TestCoreBase):\n \"cop_dataspace\",\n \"planetary_computer\",\n \"hydroweb_next\",\n+ \"wekeo\",\n ]\n \n def setUp(self):\n@@ -1172,6 +1258,7 @@ class TestCoreSearch(TestCoreBase):\n \"S2_MSI_L2B_MAJA_SNOW\",\n \"S2_MSI_L2B_MAJA_WATER\",\n \"S2_MSI_L3A_WASP\",\n+ \"EEA_DAILY_VI\",\n ]\n self.assertEqual(actual, expected)\n \n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 1,\n \"test_score\": 3\n },\n \"num_modified_files\": 4\n}"},"version":{"kind":"string","value":"2.11"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndecorator==5.2.1\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@177d77120e1c5bda5c84af638bdaa49a07edf5f4#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.5.3\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npycryptodome==3.22.0\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-ftp==0.3.1\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.25.7\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nstarlette==0.46.1\nstream-zip==0.0.83\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - decorator==5.2.1\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.11.0b2.dev46+g177d7712\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.5.3\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pycryptodome==3.22.0\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-ftp==0.3.1\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.25.7\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - 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\"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list 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\"tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator\",\n \"tests/units/test_core.py::TestCoreDownload::test_download_local_product\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":487,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-918"},"base_commit":{"kind":"string","value":"4286d132c8500c968a82445c2e3509216c4a1e65"},"created_at":{"kind":"string","value":"2023-11-13 13:50:05"},"environment_setup_commit":{"kind":"string","value":"0a6208a6e306461fca3f66c1653a41ffda54dfb6"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 3 files + 1 3 suites +1 3m 12s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"duration of all tests\") + 1m 9s\n431 tests + 1 427 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") + 1 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") ±0 1 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") ±0 \n973 runs +422 966 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") +419 6 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") +3 1 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") ±0 \n\nFor more details on these failures, see [this check](https://github.com/CS-SI/eodag/runs/18626106596).\n\nResults for commit f9c1e23e. ± Comparison against base commit f323366a.\n\n[test-results]:data:application/gzip;base64,H4sIAGYqUmUC/02MQQ6DIBAAv2I496BsBbefaSwsCalKg3Bq+vcuVanHmUnmLZyfaBW3Bi6NWLNPFWyOY/JhYexQsuCUSrxCd9B9zcYUJfVfPf1rX2zCjX4qkyooxhDZtGxiXsoTNexwLFGparZj5dPwx+efCfPsE4NwaDqSQA/UGqmXowE59IQWsCVwViFrpwbx+QKE/s9sBQEAAA==\n\ngithub-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against f9c1e23eb9779e52ac3285e9d390e3fd6979ef68 </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `53%` | :x: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against f9c1e23eb9779e52ac3285e9d390e3fd6979ef68 </p>\ngithub-actions[bot]: \n\n\n## Code Coverage (Ubuntu)\n\n<details>\n\n\n```\nFilename Stmts Miss Cover Missing\n----------------------------------------- ------- ------ ------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n__init__.py 11 0 100.00%\ncli.py 300 47 84.33% 61, 647-686, 788-839, 843\nconfig.py 318 27 91.51% 80-82, 91, 99, 103-105, 178, 190, 391-393, 457-460, 507-508, 517-518, 597, 666-671, 673\ncrunch.py 6 6 0.00% 18-24\napi/__init__.py 1 0 100.00%\napi/core.py 727 76 89.55% 87-96, 369, 582, 626-629, 667, 772, 776-781, 807, 877, 954, 1068-1073, 1159-1171, 1211, 1213, 1217, 1238-1240, 1244-1255, 1268-1274, 1364-1367, 1396-1416, 1464, 1470-1473, 1482, 1848, 1881-1887, 2152, 2156-2159, 2173-2175, 2210\napi/search_result.py 44 6 86.36% 33-35, 70, 79, 86, 100\napi/product/__init__.py 6 0 100.00%\napi/product/_assets.py 44 5 88.64% 27-29, 79, 129\napi/product/_product.py 211 32 84.83% 53-60, 64-66, 170-177, 261-262, 352, 388, 449, 463-466, 479, 503-506, 549-555\napi/product/metadata_mapping.py 649 82 87.37% 67-69, 130-132, 233, 265-266, 318-330, 332, 343, 349-361, 402-405, 442, 463-466, 489, 497-498, 571-572, 596-597, 603-606, 621-622, 771, 817, 934-939, 1070, 1084-1104, 1124, 1129, 1239, 1261, 1275, 1288-1307, 1346, 1398, 1436-1440, 1459\napi/product/drivers/__init__.py 6 0 100.00%\napi/product/drivers/base.py 8 2 75.00% 23, 41\nplugins/__init__.py 1 0 100.00%\nplugins/base.py 23 3 86.96% 25, 48, 55\nplugins/manager.py 127 14 88.98% 49-51, 95-100, 146, 185, 205, 231, 270-271\nplugins/apis/__init__.py 1 0 100.00%\nplugins/apis/base.py 4 0 100.00%\nplugins/apis/ecmwf.py 99 15 84.85% 47-55, 156-158, 205-206, 232-234\nplugins/apis/usgs.py 172 36 79.07% 59-64, 128, 201, 235, 270-272, 277, 303-304, 309, 339-346, 357-362, 384-390, 392-398, 421\nplugins/authentication/__init__.py 7 1 85.71% 31\nplugins/authentication/aws_auth.py 20 2 90.00% 25-27\nplugins/authentication/base.py 19 3 84.21% 26, 34, 47\nplugins/authentication/generic.py 16 3 81.25% 28, 40, 50\nplugins/authentication/header.py 17 1 94.12% 27\nplugins/authentication/keycloak.py 88 17 80.68% 32-34, 159-160, 190-212, 238-243\nplugins/authentication/oauth.py 15 8 46.67% 25, 32-34, 38-41\nplugins/authentication/openid_connect.py 103 64 37.86% 39-41, 138-150, 154-172, 180-222, 228-237, 246-286, 291-299, 304-305\nplugins/authentication/qsauth.py 36 2 94.44% 32, 83\nplugins/authentication/sas_auth.py 49 2 95.92% 32, 76\nplugins/authentication/token.py 81 13 83.95% 35-37, 86, 99, 101, 114-117, 165-168\nplugins/crunch/__init__.py 1 0 100.00%\nplugins/crunch/base.py 10 2 80.00% 25, 38\nplugins/crunch/filter_date.py 62 15 75.81% 30, 53-58, 72, 81, 90, 93, 105-107, 116-118, 125\nplugins/crunch/filter_latest_intersect.py 50 10 80.00% 32-34, 51-52, 71, 80-83, 85, 92-95\nplugins/crunch/filter_latest_tpl_name.py 33 2 93.94% 28, 86\nplugins/crunch/filter_overlap.py 68 17 75.00% 28-30, 33, 82-85, 91, 99, 110-126\nplugins/crunch/filter_property.py 33 8 75.76% 29, 60-65, 68-69, 85-89\nplugins/download/__init__.py 1 0 100.00%\nplugins/download/aws.py 491 165 66.40% 77-83, 272, 285, 352-355, 369-373, 419-421, 425, 458-459, 465-469, 502, 537, 541, 548, 578-586, 590, 628-636, 643-645, 686-760, 778-839, 850-855, 871-884, 913, 928-930, 933, 943-951, 959-972, 982-1001, 1008-1020, 1061, 1087, 1132-1134, 1354\nplugins/download/base.py 261 57 78.16% 58-64, 145, 180, 319-320, 340-346, 377-381, 387-388, 432, 435-449, 461, 465, 538-542, 572-573, 581-598, 605-613, 615-619, 666, 689, 711, 719\nplugins/download/creodias_s3.py 17 9 47.06% 44-58\nplugins/download/http.py 458 94 79.48% 82-88, 122, 196-208, 211, 292-297, 321, 323, 387, 414-416, 426, 432, 434, 458, 497-501, 558, 644-700, 718, 751-760, 786-787, 814, 838, 846-851, 873-874, 881, 942-948, 1003-1004, 1010, 1020, 1086, 1090, 1104-1120\nplugins/download/s3rest.py 117 27 76.92% 55-58, 124, 165, 199, 229-236, 239-241, 245, 258-264, 272-273, 276-280, 303, 324-327\nplugins/search/__init__.py 1 0 100.00%\nplugins/search/base.py 127 9 92.91% 49-54, 108, 112, 275, 295, 378\nplugins/search/build_search_result.py 179 22 87.71% 62, 97, 142-143, 149, 160, 290-293, 327, 384-396, 458, 461, 471, 488, 516, 518\nplugins/search/creodias_s3.py 54 3 94.44% 55, 73, 107\nplugins/search/csw.py 107 83 22.43% 43-45, 57-58, 62-63, 74-122, 128-141, 149-181, 199-240\nplugins/search/data_request_search.py 198 65 67.17% 52, 89-92, 108, 120, 124-125, 139, 144, 149, 156, 169-172, 226-227, 231, 241-247, 252, 280-283, 291-302, 319, 321, 328-329, 331-332, 350-354, 387, 394, 405, 418, 424-436, 441\nplugins/search/qssearch.py 561 65 88.41% 89, 361-367, 375-376, 483-489, 544-547, 620-621, 662, 680, 695, 748, 769, 772-773, 782, 793, 802, 825, 885-890, 894-895, 923, 994, 1013-1030, 1069, 1145-1149, 1215-1216, 1237, 1262, 1268, 1299-1300, 1310-1316, 1359, 1373, 1393, 1483\nplugins/search/static_stac_search.py 47 3 93.62% 39-40, 82\nrest/__init__.py 1 0 100.00%\nrest/core.py 193 18 90.67% 252, 275-277, 283-286, 318, 570, 572, 575-577, 649, 656-660\nrest/server.py 299 54 81.94% 80-81, 107, 130-131, 242-244, 260, 300-301, 313-329, 415-420, 451, 612-619, 651, 694-695, 783-785, 802-807, 837, 839, 843-844, 848-849\nrest/stac.py 436 95 78.21% 59-61, 229-231, 273, 286-295, 314-320, 365, 402-404, 427, 462-463, 549-594, 639, 659-660, 840, 905-907, 1126, 1136-1148, 1161-1183, 1197-1242, 1401-1402\nrest/types/__init__.py 1 0 100.00%\nrest/types/eodag_search.py 185 9 95.14% 52-55, 231-235, 288, 291, 359\nrest/types/stac_queryables.py 30 2 93.33% 28, 114\nrest/types/stac_search.py 122 10 91.80% 48-51, 167, 182-184, 192, 196\nrest/utils/__init__.py 116 14 87.93% 53, 108-109, 128-130, 180, 190-204, 236\nrest/utils/cql_evaluate.py 48 5 89.58% 69, 76, 90, 97, 105\nrest/utils/rfc3339.py 31 3 90.32% 78, 90, 92\ntypes/__init__.py 76 6 92.11% 53, 87, 152, 172, 177, 185\ntypes/bbox.py 43 19 55.81% 46-61, 72-74, 85-87, 99-101, 113-115, 123\ntypes/download_args.py 9 0 100.00%\ntypes/queryables.py 81 0 100.00%\ntypes/search_args.py 70 18 74.29% 60-64, 71-88, 104\ntypes/whoosh.py 15 0 100.00%\nutils/__init__.py 496 43 91.33% 83, 88, 109-111, 189-190, 199-226, 229, 243, 325-329, 405-409, 430-432, 514, 519, 529, 567-568, 964-967, 975-976, 1017-1018, 1098, 1182, 1200, 1375\nutils/constraints.py 123 42 65.85% 31, 84-93, 134, 139, 143, 154, 177-178, 189-197, 206, 220-236, 245-256\nutils/exceptions.py 37 2 94.59% 23, 93\nutils/import_system.py 30 20 33.33% 27, 67-81, 93-103\nutils/logging.py 29 1 96.55% 123\nutils/notebook.py 44 23 47.73% 25-29, 36-41, 58-62, 72-78, 83-87\nutils/stac_reader.py 91 28 69.23% 55-56, 63-86, 93-95, 99, 141, 155-158\nTOTAL 8691 1535 82.34%\n```\n\n</details>\n\n\n### Diff against develop\n\n```\nFilename Stmts Miss Cover\n------------------------------------- ------- ------ -------\nplugins/authentication/base.py 0 +1 -5.26%\nplugins/download/http.py +15 +1 +0.47%\nplugins/search/build_search_result.py +1 0 +0.07%\nplugins/search/qssearch.py +1 +1 -0.16%\nrest/core.py +24 +8 -3.41%\nrest/server.py +1 0 +0.06%\nutils/__init__.py +1 0 +0.02%\nTOTAL +43 +11 -0.04%\n```\n\n\nResults for commit: 4142cd1296b4af91d62719d926266d28d50acd6f\n\n\n_Minimum allowed coverage is `70%`_\n\n\n:recycle: This comment has been updated with latest results\n\n\n<!-- Sticky Pull Request Commentartifacts/unit-test-results-python3.12-ubuntu-latest/coverage.xml -->\ngithub-actions[bot]: \n\n\n## Code Coverage (Windows)\n\n<details>\n\n\n```\nFilename Stmts Miss Cover Missing\n----------------------------------------- ------- ------ ------- ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n__init__.py 11 0 100.00%\ncli.py 300 47 84.33% 61, 647-686, 788-839, 843\nconfig.py 318 28 91.19% 80-82, 91, 99, 103-105, 178, 190, 391-393, 457-460, 507-508, 517-518, 597, 631, 666-671, 673\ncrunch.py 6 6 0.00% 18-24\napi/__init__.py 1 0 100.00%\napi/core.py 727 76 89.55% 87-96, 369, 582, 626-629, 667, 772, 776-781, 807, 877, 954, 1068-1073, 1159-1171, 1211, 1213, 1217, 1238-1240, 1244-1255, 1268-1274, 1364-1367, 1396-1416, 1464, 1470-1473, 1482, 1848, 1881-1887, 2152, 2156-2159, 2173-2175, 2210\napi/search_result.py 44 6 86.36% 33-35, 70, 79, 86, 100\napi/product/__init__.py 6 0 100.00%\napi/product/_assets.py 44 5 88.64% 27-29, 79, 129\napi/product/_product.py 211 32 84.83% 53-60, 64-66, 170-177, 261-262, 352, 388, 449, 463-466, 479, 503-506, 549-555\napi/product/metadata_mapping.py 649 83 87.21% 67-69, 130-132, 233, 265-266, 318-330, 332, 343, 349-361, 402-405, 442, 463-466, 489, 497-498, 571-572, 596-597, 603-606, 621-622, 771, 817, 934-939, 1070, 1084-1104, 1124, 1129, 1239, 1261, 1275, 1288-1307, 1346, 1398, 1421, 1436-1440, 1459\napi/product/drivers/__init__.py 6 0 100.00%\napi/product/drivers/base.py 8 2 75.00% 23, 41\nplugins/__init__.py 1 0 100.00%\nplugins/base.py 23 4 82.61% 25, 48, 55, 68\nplugins/manager.py 127 14 88.98% 49-51, 95-100, 146, 185, 205, 231, 270-271\nplugins/apis/__init__.py 1 0 100.00%\nplugins/apis/base.py 4 0 100.00%\nplugins/apis/ecmwf.py 99 15 84.85% 47-55, 156-158, 205-206, 232-234\nplugins/apis/usgs.py 172 36 79.07% 59-64, 128, 201, 235, 270-272, 277, 303-304, 309, 339-346, 357-362, 384-390, 392-398, 421\nplugins/authentication/__init__.py 7 1 85.71% 31\nplugins/authentication/aws_auth.py 20 2 90.00% 25-27\nplugins/authentication/base.py 19 3 84.21% 26, 34, 47\nplugins/authentication/generic.py 16 3 81.25% 28, 40, 50\nplugins/authentication/header.py 17 1 94.12% 27\nplugins/authentication/keycloak.py 88 17 80.68% 32-34, 159-160, 190-212, 238-243\nplugins/authentication/oauth.py 15 8 46.67% 25, 32-34, 38-41\nplugins/authentication/openid_connect.py 103 64 37.86% 39-41, 138-150, 154-172, 180-222, 228-237, 246-286, 291-299, 304-305\nplugins/authentication/qsauth.py 36 2 94.44% 32, 83\nplugins/authentication/sas_auth.py 49 2 95.92% 32, 76\nplugins/authentication/token.py 81 13 83.95% 35-37, 86, 99, 101, 114-117, 165-168\nplugins/crunch/__init__.py 1 0 100.00%\nplugins/crunch/base.py 10 2 80.00% 25, 38\nplugins/crunch/filter_date.py 62 15 75.81% 30, 53-58, 72, 81, 90, 93, 105-107, 116-118, 125\nplugins/crunch/filter_latest_intersect.py 50 35 30.00% 32-34, 48-53, 69-114\nplugins/crunch/filter_latest_tpl_name.py 33 2 93.94% 28, 86\nplugins/crunch/filter_overlap.py 68 17 75.00% 28-30, 33, 82-85, 91, 99, 110-126\nplugins/crunch/filter_property.py 33 8 75.76% 29, 60-65, 68-69, 85-89\nplugins/download/__init__.py 1 0 100.00%\nplugins/download/aws.py 491 165 66.40% 77-83, 272, 285, 352-355, 369-373, 419-421, 425, 458-459, 465-469, 502, 537, 541, 548, 578-586, 590, 628-636, 643-645, 686-760, 778-839, 850-855, 871-884, 913, 928-930, 933, 943-951, 959-972, 982-1001, 1008-1020, 1061, 1087, 1132-1134, 1354\nplugins/download/base.py 261 59 77.39% 58-64, 145, 180, 250-252, 319-320, 340-346, 377-381, 387-388, 432, 435-449, 461, 465, 538-542, 572-573, 581-598, 605-613, 615-619, 666, 689, 711, 719\nplugins/download/creodias_s3.py 17 9 47.06% 44-58\nplugins/download/http.py 458 94 79.48% 82-88, 122, 196-208, 211, 292-297, 321, 323, 387, 414-416, 426, 432, 434, 458, 497-501, 558, 644-700, 718, 751-760, 786-787, 814, 838, 846-851, 873-874, 881, 942-948, 1003-1004, 1010, 1020, 1086, 1090, 1104-1120\nplugins/download/s3rest.py 117 27 76.92% 55-58, 124, 165, 199, 229-236, 239-241, 245, 258-264, 272-273, 276-280, 303, 324-327\nplugins/search/__init__.py 1 0 100.00%\nplugins/search/base.py 127 9 92.91% 49-54, 108, 112, 275, 295, 378\nplugins/search/build_search_result.py 179 29 83.80% 62, 97, 142-143, 149, 160, 290-293, 327, 384-396, 458, 461, 471, 488, 508-523\nplugins/search/creodias_s3.py 54 3 94.44% 55, 73, 107\nplugins/search/csw.py 107 83 22.43% 43-45, 57-58, 62-63, 74-122, 128-141, 149-181, 199-240\nplugins/search/data_request_search.py 198 65 67.17% 52, 89-92, 108, 120, 124-125, 139, 144, 149, 156, 169-172, 226-227, 231, 241-247, 252, 280-283, 291-302, 319, 321, 328-329, 331-332, 350-354, 387, 394, 405, 418, 424-436, 441\nplugins/search/qssearch.py 561 89 84.14% 89, 361-367, 375-376, 483-489, 544-547, 620-621, 662, 680, 695, 748, 769, 772-773, 782, 793, 802, 825, 885-890, 894-895, 923, 994, 1013-1030, 1069, 1145-1149, 1215-1216, 1237, 1262, 1268, 1299-1300, 1310-1316, 1359, 1373, 1393, 1443-1512\nplugins/search/static_stac_search.py 47 3 93.62% 39-40, 82\nrest/__init__.py 1 0 100.00%\nrest/core.py 193 82 57.51% 149, 151, 153, 159-160, 177-185, 191-197, 244-320, 474-501, 519, 569-608, 649, 656-660\nrest/server.py 299 299 0.00% 18-862\nrest/stac.py 436 154 64.68% 59-61, 214, 229-231, 273, 286-295, 314-320, 365, 402-404, 427, 462-463, 549-594, 639, 647-648, 652-660, 782, 840, 905-907, 924-926, 934-936, 949-951, 965-982, 992-1013, 1023-1045, 1053-1070, 1093-1116, 1126, 1136-1148, 1161-1183, 1197-1242, 1395-1421\nrest/types/__init__.py 1 0 100.00%\nrest/types/eodag_search.py 185 18 90.27% 52-55, 231-235, 268-270, 288, 291, 297, 301, 359, 371-374\nrest/types/stac_queryables.py 30 6 80.00% 28, 53-58, 114\nrest/types/stac_search.py 122 12 90.16% 48-51, 167, 182-184, 192, 196, 240, 243\nrest/utils/__init__.py 116 31 73.28% 53, 79-85, 105, 108-109, 128-130, 147, 173-181, 188-209, 236\nrest/utils/cql_evaluate.py 48 5 89.58% 69, 76, 90, 97, 105\nrest/utils/rfc3339.py 31 5 83.87% 73-74, 78, 90, 92\ntypes/__init__.py 76 11 85.53% 53, 87, 125, 152, 162-164, 172, 177, 185, 195\ntypes/bbox.py 43 19 55.81% 46-61, 72-74, 85-87, 99-101, 113-115, 123\ntypes/download_args.py 9 0 100.00%\ntypes/queryables.py 81 0 100.00%\ntypes/search_args.py 70 18 74.29% 60-64, 71-88, 104\ntypes/whoosh.py 15 0 100.00%\nutils/__init__.py 496 44 91.13% 83, 88, 109-111, 189-190, 199-226, 229, 243, 325-329, 405-409, 430-432, 514, 519, 529, 567-568, 964-967, 975-976, 1017-1018, 1098, 1181-1182, 1200, 1375\nutils/constraints.py 123 42 65.85% 31, 84-93, 134, 139, 143, 154, 177-178, 189-197, 206, 220-236, 245-256\nutils/exceptions.py 37 2 94.59% 23, 93\nutils/import_system.py 30 20 33.33% 27, 67-81, 93-103\nutils/logging.py 29 1 96.55% 123\nutils/notebook.py 44 23 47.73% 25-29, 36-41, 58-62, 72-78, 83-87\nutils/stac_reader.py 91 28 69.23% 55-56, 63-86, 93-95, 99, 141, 155-158\nTOTAL 8691 2004 76.94%\n```\n\n</details>\n\n\n### Diff against develop\n\n```\nFilename Stmts Miss Cover\n------------------------------------- ------- ------ --------\nplugins/download/http.py +15 +1 +0.47%\nplugins/search/build_search_result.py +1 0 +0.09%\nplugins/search/qssearch.py +1 +1 -0.15%\nrest/core.py +24 +21 -6.40%\nrest/server.py +1 +1 +100.00%\nutils/__init__.py +1 0 +0.02%\nTOTAL +43 +24 -0.16%\n```\n\n\nResults for commit: 4142cd1296b4af91d62719d926266d28d50acd6f\n\n\n_Minimum allowed coverage is `70%`_\n\n\n:recycle: This comment has been updated with latest results\n\n\n<!-- Sticky Pull Request Commentartifacts/unit-test-results-python3.12-windows-latest/coverage.xml -->"},"patch":{"kind":"string","value":"diff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 140f1e12..c1b03a36 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -130,7 +130,7 @@ class HTTPDownload(Download):\n product: EOProduct,\n auth: Optional[AuthBase] = None,\n **kwargs: Unpack[DownloadConf],\n- ) -> None:\n+ ) -> Optional[Dict[str, Any]]:\n \"\"\"Send product order request.\n \n It will be executed once before the download retry loop, if the product is OFFLINE\n@@ -156,6 +156,8 @@ class HTTPDownload(Download):\n :type auth: Optional[AuthBase]\n :param kwargs: download additional kwargs\n :type kwargs: Union[str, bool, dict]\n+ :returns: the returned json status response\n+ :rtype: dict\n \"\"\"\n product.properties[\"storageStatus\"] = STAGING_STATUS\n \n@@ -205,15 +207,20 @@ class HTTPDownload(Download):\n )\n self._check_auth_exception(e)\n \n- self.order_response_process(response, product)\n+ return self.order_response_process(response, product)\n+ return None\n \n- def order_response_process(self, response: Response, product: EOProduct) -> None:\n+ def order_response_process(\n+ self, response: Response, product: EOProduct\n+ ) -> Optional[Dict[str, Any]]:\n \"\"\"Process order response\n \n :param response: The order response\n :type response: :class:`~requests.Response`\n :param product: The orderd EO product\n :type product: :class:`~eodag.api.product._product.EOProduct`\n+ :returns: the returned json status response\n+ :rtype: dict\n \"\"\"\n order_metadata_mapping = getattr(self.config, \"order_on_response\", {}).get(\n \"metadata_mapping\", {}\n@@ -223,8 +230,11 @@ class HTTPDownload(Download):\n order_metadata_mapping_jsonpath = mtd_cfg_as_conversion_and_querypath(\n order_metadata_mapping,\n )\n+\n+ json_response = response.json()\n+\n properties_update = properties_from_json(\n- response.json(),\n+ json_response,\n order_metadata_mapping_jsonpath,\n )\n properties_update = {\n@@ -235,8 +245,12 @@ class HTTPDownload(Download):\n product.remote_location = product.location = product.properties[\n \"downloadLink\"\n ]\n+ product.properties[\"storageStatus\"] = ONLINE_STATUS\n logger.debug(f\"Product location updated to {product.location}\")\n \n+ return json_response\n+ return None\n+\n def orderDownloadStatus(\n self,\n product: EOProduct,\n@@ -582,6 +596,19 @@ class HTTPDownload(Download):\n )\n return stream_size\n \n+ def _check_product_filename(self, product: EOProduct) -> str:\n+ filename = None\n+ asset_content_disposition = self.stream.headers.get(\"content-disposition\", None)\n+ if asset_content_disposition:\n+ filename = cast(\n+ Optional[str],\n+ parse_header(asset_content_disposition).get_param(\"filename\", None),\n+ )\n+ if not filename:\n+ # default filename extracted from path\n+ filename = os.path.basename(self.stream.url)\n+ return filename\n+\n def _stream_download_dict(\n self,\n product: EOProduct,\n@@ -823,7 +850,11 @@ class HTTPDownload(Download):\n product.properties[\"storageStatus\"] = \"ORDERED\"\n self._process_exception(None, product, ordered_message)\n stream_size = self._check_stream_size(product) or None\n+ filename = self._check_product_filename(product) or None\n product.headers = self.stream.headers\n+ product.headers[\n+ \"content-disposition\"\n+ ] = f\"attachment; filename={filename}\"\n progress_callback.reset(total=stream_size)\n for chunk in self.stream.iter_content(chunk_size=64 * 1024):\n if chunk:\ndiff --git a/eodag/plugins/search/build_search_result.py b/eodag/plugins/search/build_search_result.py\nindex 396b5dd0..8e5f9e9e 100644\n--- a/eodag/plugins/search/build_search_result.py\n+++ b/eodag/plugins/search/build_search_result.py\n@@ -175,8 +175,9 @@ class BuildPostSearchResult(PostJsonSearch):\n \n query_hash = hashlib.sha1(str(qs).encode(\"UTF-8\")).hexdigest()\n \n- # update result with search args if not None (and not auth)\n+ # update result with product_type_def_params and search args if not None (and not auth)\n kwargs.pop(\"auth\", None)\n+ result.update(self.product_type_def_params)\n result = dict(result, **{k: v for k, v in kwargs.items() if v is not None})\n \n # parse porperties\ndiff --git a/eodag/plugins/search/qssearch.py b/eodag/plugins/search/qssearch.py\nindex 7c97fc86..9e8c5a2d 100644\n--- a/eodag/plugins/search/qssearch.py\n+++ b/eodag/plugins/search/qssearch.py\n@@ -1144,6 +1144,11 @@ class PostJsonSearch(QueryStringSearch):\n if _dc_qs is not None:\n qs = unquote_plus(unquote_plus(_dc_qs))\n qp = geojson.loads(qs)\n+\n+ # provider product type specific conf\n+ self.product_type_def_params = self.get_product_type_def_params(\n+ product_type, **kwargs\n+ )\n else:\n keywords = {\n k: v for k, v in kwargs.items() if k != \"auth\" and v is not None\ndiff --git a/eodag/rest/core.py b/eodag/rest/core.py\nindex 729e8f99..df5aa6c6 100644\n--- a/eodag/rest/core.py\n+++ b/eodag/rest/core.py\n@@ -15,20 +15,28 @@\n # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n # See the License for the specific language governing permissions and\n # limitations under the License.\n+from __future__ import annotations\n+\n import datetime\n import logging\n import os\n import re\n-from typing import Any, Callable, Dict, List, Optional, cast\n+from typing import TYPE_CHECKING, cast\n+from unittest.mock import Mock\n \n import dateutil\n-from fastapi import Request\n-from fastapi.responses import StreamingResponse\n+from fastapi.responses import ORJSONResponse, StreamingResponse\n from pydantic import ValidationError as pydanticValidationError\n+from requests.models import Response as RequestsResponse\n \n import eodag\n from eodag import EOProduct\n-from eodag.api.product.metadata_mapping import OSEO_METADATA_MAPPING\n+from eodag.api.product.metadata_mapping import (\n+ NOT_AVAILABLE,\n+ ONLINE_STATUS,\n+ OSEO_METADATA_MAPPING,\n+ STAGING_STATUS,\n+)\n from eodag.api.search_result import SearchResult\n from eodag.config import load_stac_config\n from eodag.plugins.crunch.filter_latest_intersect import FilterLatestIntersect\n@@ -37,7 +45,6 @@ from eodag.plugins.crunch.filter_overlap import FilterOverlap\n from eodag.rest.stac import StacCatalog, StacCollection, StacCommon, StacItem\n from eodag.rest.types.eodag_search import EODAGSearch\n from eodag.rest.types.stac_queryables import StacQueryableProperty, StacQueryables\n-from eodag.rest.types.stac_search import SearchPostRequest\n from eodag.rest.utils import (\n Cruncher,\n file_to_stream,\n@@ -51,6 +58,7 @@ from eodag.utils import (\n _deprecated,\n deepcopy,\n dict_items_recursive_apply,\n+ urlencode,\n )\n from eodag.utils.exceptions import (\n MisconfiguredError,\n@@ -59,6 +67,16 @@ from eodag.utils.exceptions import (\n ValidationError,\n )\n \n+if TYPE_CHECKING:\n+ from typing import Any, Callable, Dict, List, Optional, Union\n+\n+ from fastapi import Request\n+ from requests.auth import AuthBase\n+ from starlette.responses import Response\n+\n+ from eodag.rest.types.stac_search import SearchPostRequest\n+\n+\n eodag_api = eodag.EODataAccessGateway()\n \n logger = logging.getLogger(\"eodag.rest.core\")\n@@ -212,12 +230,13 @@ def search_stac_items(\n \n \n def download_stac_item(\n+ request: Request,\n catalogs: List[str],\n item_id: str,\n provider: Optional[str] = None,\n asset: Optional[str] = None,\n **kwargs: Any,\n-) -> StreamingResponse:\n+) -> Response:\n \"\"\"Download item\n \n :param catalogs: Catalogs list (only first is used as product_type)\n@@ -229,7 +248,7 @@ def download_stac_item(\n :param kwargs: additional download parameters\n :type kwargs: Any\n :returns: a stream of the downloaded data (zip file)\n- :rtype: StreamingResponse\n+ :rtype: Response\n \"\"\"\n product_type = catalogs[0]\n \n@@ -243,12 +262,19 @@ def download_stac_item(\n f\"Could not find {item_id} item in {product_type} collection\"\n + (f\" for provider {provider}\" if provider else \"\")\n )\n+ auth = product.downloader_auth.authenticate()\n \n try:\n+ _order_and_update(product, auth, **kwargs)\n+\n download_stream = cast(\n StreamResponse,\n product.downloader._stream_download_dict(\n- product, auth=product.downloader_auth.authenticate(), asset=asset\n+ product,\n+ auth=auth,\n+ asset=asset,\n+ wait=-1,\n+ timeout=-1,\n ),\n )\n except NotImplementedError:\n@@ -259,6 +285,19 @@ def download_stac_item(\n download_stream = file_to_stream(\n eodag_api.download(product, extract=False, asset=asset)\n )\n+ except NotAvailableError:\n+ if product.properties.get(\"storageStatus\") != ONLINE_STATUS:\n+ download_link = f\"{request.state.url}?{urlencode(dict(kwargs, **{'provider': provider}), doseq=True)}\"\n+ return ORJSONResponse(\n+ status_code=202,\n+ headers={\"Location\": download_link},\n+ content={\n+ \"description\": \"Product is not available yet, please try again using given updated location\",\n+ \"location\": download_link,\n+ },\n+ )\n+ else:\n+ raise\n \n return StreamingResponse(\n content=download_stream.content,\n@@ -267,6 +306,40 @@ def download_stac_item(\n )\n \n \n+def _order_and_update(\n+ product: EOProduct, auth: Union[AuthBase, Dict[str, str]], **kwargs: Any\n+) -> None:\n+ \"\"\"Order product if needed and update given kwargs with order-status-dict\"\"\"\n+ if product.properties.get(\"storageStatus\") != ONLINE_STATUS and hasattr(\n+ product.downloader, \"order_response_process\"\n+ ):\n+ # update product (including orderStatusLink) if product was previously ordered\n+ logger.debug(\"Use given download query arguments to parse order link\")\n+ response = Mock(spec=RequestsResponse)\n+ response.status_code = 200\n+ response.json.return_value = kwargs\n+ product.downloader.order_response_process(response, product)\n+\n+ if (\n+ product.properties.get(\"storageStatus\") != ONLINE_STATUS\n+ and NOT_AVAILABLE in product.properties.get(\"orderStatusLink\", \"\")\n+ and hasattr(product.downloader, \"orderDownload\")\n+ ):\n+ # first order\n+ logger.debug(\"Order product\")\n+ order_status_dict = product.downloader.orderDownload(product=product, auth=auth)\n+ kwargs.update(order_status_dict or {})\n+\n+ if product.properties.get(\"storageStatus\") == STAGING_STATUS and hasattr(\n+ product.downloader, \"orderDownloadStatus\"\n+ ):\n+ # check order status if needed\n+ logger.debug(\"Checking product order status\")\n+ product.downloader.orderDownloadStatus(product=product, auth=auth)\n+ if product.properties.get(\"storageStatus\") != ONLINE_STATUS:\n+ raise NotAvailableError(\"Product is not available yet\")\n+\n+\n def get_detailled_collections_list(\n provider: Optional[str] = None, fetch_providers: bool = True\n ) -> List[Dict[str, Any]]:\ndiff --git a/eodag/rest/server.py b/eodag/rest/server.py\nindex 3aedb6a9..21139461 100755\n--- a/eodag/rest/server.py\n+++ b/eodag/rest/server.py\n@@ -39,7 +39,7 @@ from fastapi import FastAPI, HTTPException, Request\n from fastapi.encoders import jsonable_encoder\n from fastapi.middleware.cors import CORSMiddleware\n from fastapi.openapi.utils import get_openapi\n-from fastapi.responses import ORJSONResponse, StreamingResponse\n+from fastapi.responses import ORJSONResponse\n from pydantic import ValidationError as pydanticValidationError\n from pygeofilter.backends.cql2_json import to_cql2\n from pygeofilter.parsers.cql2_text import parse as parse_cql2_text\n@@ -80,6 +80,8 @@ if TYPE_CHECKING:\n from fastapi.types import DecoratedCallable\n from requests import Response\n \n+from starlette.responses import Response as StarletteResponse\n+\n logger = logging.getLogger(\"eodag.rest.server\")\n ERRORS_WITH_500_STATUS_CODE = {\n \"MisconfiguredError\",\n@@ -385,7 +387,7 @@ def stac_extension_oseo(request: Request) -> Any:\n )\n def stac_collections_item_download(\n collection_id: str, item_id: str, request: Request\n-) -> StreamingResponse:\n+) -> StarletteResponse:\n \"\"\"STAC collection item download\"\"\"\n logger.debug(\"URL: %s\", request.url)\n \n@@ -393,7 +395,11 @@ def stac_collections_item_download(\n provider = arguments.pop(\"provider\", None)\n \n return download_stac_item(\n- catalogs=[collection_id], item_id=item_id, provider=provider, **arguments\n+ request=request,\n+ catalogs=[collection_id],\n+ item_id=item_id,\n+ provider=provider,\n+ **arguments,\n )\n \n \n@@ -412,6 +418,7 @@ def stac_collections_item_download_asset(\n provider = arguments.pop(\"provider\", None)\n \n return download_stac_item(\n+ request=request,\n catalogs=[collection_id],\n item_id=item_id,\n provider=provider,\n@@ -575,7 +582,7 @@ def collections(request: Request) -> Any:\n )\n def stac_catalogs_item_download(\n catalogs: str, item_id: str, request: Request\n-) -> StreamingResponse:\n+) -> StarletteResponse:\n \"\"\"STAC Catalog item download\"\"\"\n logger.debug(\"URL: %s\", request.url)\n \n@@ -585,7 +592,11 @@ def stac_catalogs_item_download(\n list_catalog = catalogs.strip(\"/\").split(\"/\")\n \n return download_stac_item(\n- catalogs=list_catalog, item_id=item_id, provider=provider, **arguments\n+ request=request,\n+ catalogs=list_catalog,\n+ item_id=item_id,\n+ provider=provider,\n+ **arguments,\n )\n \n \n@@ -606,6 +617,7 @@ def stac_catalogs_item_download_asset(\n list_catalog = catalogs.strip(\"/\").split(\"/\")\n \n return download_stac_item(\n+ request=request,\n catalogs=list_catalog,\n item_id=item_id,\n provider=provider,\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 6471d0db..b46a838a 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -1433,6 +1433,7 @@ class StreamResponse:\n content: Iterator[bytes]\n headers: Optional[Mapping[str, str]] = None\n media_type: Optional[str] = None\n+ status_code: Optional[int] = None\n \n \n def guess_file_type(file: str) -> Optional[str]:\n"},"problem_statement":{"kind":"string","value":"staging status in server mode download \nWhen downloading an OFFLINE product in server mode, use min values for `wait` and `time` and return a 202 status until product is available"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/__init__.py b/tests/__init__.py\nindex 2bd14e8a..59ce5692 100644\n--- a/tests/__init__.py\n+++ b/tests/__init__.py\n@@ -335,6 +335,7 @@ class EODagTestCase(unittest.TestCase):\n response.__zip_buffer = io.BytesIO(fh.read())\n cl = response.__zip_buffer.getbuffer().nbytes\n response.headers = {\"content-length\": cl}\n+ response.url = \"http://foo.bar\"\n \n def __enter__(response):\n return response\ndiff --git a/tests/context.py b/tests/context.py\nindex 2e6aeec7..f697bb45 100644\n--- a/tests/context.py\n+++ b/tests/context.py\n@@ -33,6 +33,7 @@ from eodag.api.product.metadata_mapping import (\n format_metadata,\n OFFLINE_STATUS,\n ONLINE_STATUS,\n+ STAGING_STATUS,\n properties_from_json,\n NOT_AVAILABLE,\n )\ndiff --git a/tests/units/test_download_plugins.py b/tests/units/test_download_plugins.py\nindex 832c63f7..3f2f79ef 100644\n--- a/tests/units/test_download_plugins.py\n+++ b/tests/units/test_download_plugins.py\n@@ -172,6 +172,7 @@ class TestDownloadPluginHttp(BaseDownloadPluginTest):\n self.__zip_buffer = io.BytesIO(fh.read())\n cl = self.__zip_buffer.getbuffer().nbytes\n self.headers = {\"content-length\": cl}\n+ self.url = \"http://foo.bar\"\n \n def __enter__(self):\n return self\n@@ -1008,12 +1009,12 @@ class TestDownloadPluginHttp(BaseDownloadPluginTest):\n # empty product download directory should have been removed\n self.assertFalse(Path(os.path.join(self.output_dir, \"dummy_product\")).exists())\n \n- def test_plugins_download_http_order_download_cds(\n+ def test_plugins_download_http_order_download_cop_ads(\n self,\n ):\n \"\"\"HTTPDownload.download must order the product if needed\"\"\"\n \n- self.product.provider = \"cop_cds\"\n+ self.product.provider = \"cop_ads\"\n self.product.product_type = \"CAMS_EAC4\"\n product_dataset = \"cams-global-reanalysis-eac4\"\n \n@@ -1075,6 +1076,7 @@ class TestDownloadPluginHttp(BaseDownloadPluginTest):\n \n # expected values\n expected_remote_location = \"http://somewhere/download/dummy_request_id\"\n+ expected_order_status_link = f\"{endpoint}/tasks/dummy_request_id\"\n expected_path = os.path.join(\n output_data_path, self.product.properties[\"title\"]\n )\n@@ -1085,6 +1087,12 @@ class TestDownloadPluginHttp(BaseDownloadPluginTest):\n timeout=0.2 / 60,\n )\n self.assertEqual(self.product.remote_location, expected_remote_location)\n+ self.assertEqual(\n+ self.product.properties[\"downloadLink\"], expected_remote_location\n+ )\n+ self.assertEqual(\n+ self.product.properties[\"orderStatusLink\"], expected_order_status_link\n+ )\n self.assertEqual(path, expected_path)\n self.assertEqual(self.product.location, path_to_uri(expected_path))\n \ndiff --git a/tests/units/test_http_server.py b/tests/units/test_http_server.py\nindex 9571d73f..5d72bed1 100644\n--- a/tests/units/test_http_server.py\n+++ b/tests/units/test_http_server.py\n@@ -25,7 +25,7 @@ import unittest\n from pathlib import Path\n from tempfile import TemporaryDirectory\n from typing import Any, Dict, List, Optional, Union\n-from unittest.mock import Mock\n+from unittest.mock import MagicMock, Mock\n \n import geojson\n import httpx\n@@ -36,11 +36,15 @@ from eodag.config import PluginConfig\n from eodag.plugins.authentication.base import Authentication\n from eodag.plugins.download.base import Download\n from eodag.utils import USER_AGENT, MockResponse, StreamResponse\n-from eodag.utils.exceptions import TimeOutError\n+from eodag.utils.exceptions import NotAvailableError, TimeOutError\n from tests import mock\n from tests.context import (\n DEFAULT_ITEMS_PER_PAGE,\n HTTP_REQ_TIMEOUT,\n+ NOT_AVAILABLE,\n+ OFFLINE_STATUS,\n+ ONLINE_STATUS,\n+ STAGING_STATUS,\n TEST_RESOURCES_PATH,\n AuthenticationError,\n SearchResult,\n@@ -436,6 +440,13 @@ class RequestTestCase(unittest.TestCase):\n self.assertIn(\"description\", response_content)\n self.assertIn(\"NotAvailableError\", response_content[\"description\"])\n \n+ def _request_accepted(self, url: str):\n+ response = self.app.get(url, follow_redirects=True)\n+ response_content = json.loads(response.content.decode(\"utf-8\"))\n+ self.assertEqual(202, response.status_code)\n+ self.assertIn(\"description\", response_content)\n+ self.assertIn(\"location\", response_content)\n+\n def test_request_params(self):\n self._request_not_valid(f\"search?collections={self.tested_product_type}&bbox=1\")\n self._request_not_valid(\n@@ -1047,6 +1058,10 @@ class RequestTestCase(unittest.TestCase):\n response_filename = header_content_disposition.get_param(\"filename\", None)\n self.assertEqual(response_filename, expected_file)\n \n+ @mock.patch(\n+ \"eodag.plugins.authentication.base.Authentication.authenticate\",\n+ autospec=True,\n+ )\n @mock.patch(\n \"eodag.plugins.download.base.Download._stream_download_dict\",\n autospec=True,\n@@ -1056,7 +1071,7 @@ class RequestTestCase(unittest.TestCase):\n autospec=True,\n )\n def test_download_item_from_collection_no_stream(\n- self, mock_download: Mock, mock_stream_download: Mock\n+ self, mock_download: Mock, mock_stream_download: Mock, mock_auth: Mock\n ):\n \"\"\"Download through eodag server catalog should return a valid response\"\"\"\n # download should be performed locally then deleted if streaming is not available\n@@ -1073,6 +1088,71 @@ class RequestTestCase(unittest.TestCase):\n expected_file\n ), f\"File {expected_file} should have been deleted\"\n \n+ @mock.patch(\n+ \"eodag.rest.core.eodag_api.search\",\n+ autospec=True,\n+ )\n+ def test_download_offline_item_from_catalog(self, mock_search):\n+ \"\"\"Download an offline item through eodag server catalog should return a\n+ response with HTTP Status 202\"\"\"\n+ # mock_search_result returns 2 search results, only keep one\n+ two_results = self.mock_search_result()\n+ product = two_results[0][0]\n+ mock_search.return_value = (\n+ [\n+ product,\n+ ],\n+ 1,\n+ )\n+ product.downloader_auth = MagicMock()\n+ product.downloader.orderDownload = MagicMock()\n+ product.downloader.orderDownloadStatus = MagicMock()\n+ product.downloader.order_response_process = MagicMock()\n+ product.downloader._stream_download_dict = MagicMock(\n+ side_effect=NotAvailableError(\"Product offline. Try again later.\")\n+ )\n+ product.properties[\"orderStatusLink\"] = f\"{NOT_AVAILABLE}?foo=bar\"\n+\n+ # ONLINE product with error\n+ product.properties[\"storageStatus\"] = ONLINE_STATUS\n+ # status 404 and no order try\n+ self._request_not_found(\n+ f\"catalogs/{self.tested_product_type}/items/foo/download\"\n+ )\n+ product.downloader.orderDownload.assert_not_called()\n+ product.downloader.orderDownloadStatus.assert_not_called()\n+ product.downloader.order_response_process.assert_not_called()\n+ product.downloader._stream_download_dict.assert_called_once()\n+ product.downloader._stream_download_dict.reset_mock()\n+\n+ # OFFLINE product with error\n+ product.properties[\"storageStatus\"] = OFFLINE_STATUS\n+ # status 202 and order once and no status check\n+ self._request_accepted(\n+ f\"catalogs/{self.tested_product_type}/items/foo/download\"\n+ )\n+ product.downloader.orderDownload.assert_called_once()\n+ product.downloader.orderDownload.reset_mock()\n+ product.downloader.orderDownloadStatus.assert_not_called()\n+ product.downloader.order_response_process.assert_called()\n+ product.downloader.order_response_process.reset_mock()\n+ product.downloader._stream_download_dict.assert_called_once()\n+ product.downloader._stream_download_dict.reset_mock()\n+\n+ # STAGING product and available orderStatusLink\n+ product.properties[\"storageStatus\"] = STAGING_STATUS\n+ product.properties[\"orderStatusLink\"] = \"http://somewhere?foo=bar\"\n+ # status 202 and no order but status checked and no download try\n+ self._request_accepted(\n+ f\"catalogs/{self.tested_product_type}/items/foo/download\"\n+ )\n+ product.downloader.orderDownload.assert_not_called()\n+ product.downloader.orderDownloadStatus.assert_called_once()\n+ product.downloader.orderDownloadStatus.reset_mock()\n+ product.downloader.order_response_process.assert_called()\n+ product.downloader.order_response_process.reset_mock()\n+ product.downloader._stream_download_dict.assert_not_called()\n+\n def test_conformance(self):\n \"\"\"Request to /conformance should return a valid response\"\"\"\n self._request_valid(\"conformance\", check_links=False)\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 1,\n \"test_score\": 1\n },\n \"num_modified_files\": 6\n}"},"version":{"kind":"string","value":"2.12"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nbackports.tarfile==1.2.0\nbeautifulsoup4==4.13.3\nboto3==1.37.23\nboto3-stubs==1.37.23\nbotocore==1.37.23\nbotocore-stubs==1.37.23\ncachetools==5.5.2\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ncssselect==1.3.0\ndateparser==1.2.1\ndecorator==5.2.1\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@4286d132c8500c968a82445c2e3509216c4a1e65#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.5.3\nkeyring==25.6.0\nlark==1.2.2\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmypy-boto3-cloudformation==1.37.22\nmypy-boto3-dynamodb==1.37.12\nmypy-boto3-ec2==1.37.16\nmypy-boto3-lambda==1.37.16\nmypy-boto3-rds==1.37.21\nmypy-boto3-s3==1.37.0\nmypy-boto3-sqs==1.37.0\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npycryptodome==3.22.0\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.2\npygeofilter==0.3.1\npygeoif==1.5.1\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nregex==2024.11.6\nrequests==2.32.3\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.23.3\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nsoupsieve==2.6\nstarlette==0.46.1\nstdlib-list==0.11.1\nstream-zip==0.0.83\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntypes-awscrt==0.24.2\ntypes-html5lib==1.1.11.20241018\ntypes-lxml==2025.3.30\ntypes-PyYAML==6.0.12.20250326\ntypes-s3transfer==0.11.4\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\ntzlocal==5.3.1\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - backports-tarfile==1.2.0\n - beautifulsoup4==4.13.3\n - boto3==1.37.23\n - boto3-stubs==1.37.23\n - botocore==1.37.23\n - botocore-stubs==1.37.23\n - cachetools==5.5.2\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - cssselect==1.3.0\n - dateparser==1.2.1\n - decorator==5.2.1\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.12.2.dev36+g4286d132\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.5.3\n - keyring==25.6.0\n - lark==1.2.2\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - mypy-boto3-cloudformation==1.37.22\n - mypy-boto3-dynamodb==1.37.12\n - mypy-boto3-ec2==1.37.16\n - mypy-boto3-lambda==1.37.16\n - mypy-boto3-rds==1.37.21\n - mypy-boto3-s3==1.37.0\n - mypy-boto3-sqs==1.37.0\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pycryptodome==3.22.0\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.2\n - pygeofilter==0.3.1\n - pygeoif==1.5.1\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - 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\"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_no_url\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_asset_filter\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_get\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_head\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_filename_from_href\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_resume\",\n 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\"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_ok\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_once_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_short_timeout\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginHttpRetry::test_plugins_download_http_retry_timeout_disabled\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_get_bucket_prefix\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_flatten_top_dirs\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_no_safe_build_no_flatten_top_dirs\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginAws::test_plugins_download_aws_safe_build_assets\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginS3Rest::test_plugins_download_s3rest_offline\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginS3Rest::test_plugins_download_s3rest_online\",\n \"tests/units/test_download_plugins.py::TestDownloadPluginCreodiasS3::test_plugins_download_creodias_s3\",\n \"tests/units/test_http_server.py::RequestTestCase::test_auth_error\",\n \"tests/units/test_http_server.py::RequestTestCase::test_catalog_browse\",\n \"tests/units/test_http_server.py::RequestTestCase::test_catalog_browse_date_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_cloud_cover_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_collection\",\n \"tests/units/test_http_server.py::RequestTestCase::test_collection_free_text_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_conformance\",\n \"tests/units/test_http_server.py::RequestTestCase::test_cql_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search_from_catalog_items\",\n \"tests/units/test_http_server.py::RequestTestCase::test_date_search_from_items\",\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_catalog_stream\",\n \"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_no_stream\",\n \"tests/units/test_http_server.py::RequestTestCase::test_filter\",\n \"tests/units/test_http_server.py::RequestTestCase::test_forward\",\n \"tests/units/test_http_server.py::RequestTestCase::test_ids_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_intersects_post_search\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_nok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_list_product_types_ok\",\n \"tests/units/test_http_server.py::RequestTestCase::test_not_found\",\n \"tests/units/test_http_server.py::RequestTestCase::test_product_type_queryables\",\n \"tests/units/test_http_server.py::RequestTestCase::test_product_type_queryables_from_constraints\",\n \"tests/units/test_http_server.py::RequestTestCase::test_product_type_queryables_with_provider\",\n \"tests/units/test_http_server.py::RequestTestCase::test_queryables\",\n \"tests/units/test_http_server.py::RequestTestCase::test_queryables_with_provider\",\n \"tests/units/test_http_server.py::RequestTestCase::test_request_params\",\n \"tests/units/test_http_server.py::RequestTestCase::test_route\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_catalog\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_item_id_from_collection\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_provider_in_downloadlink\",\n \"tests/units/test_http_server.py::RequestTestCase::test_search_response_contains_pagination_info\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_desc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_service_doc\",\n \"tests/units/test_http_server.py::RequestTestCase::test_stac_extension_oseo\",\n \"tests/units/test_http_server.py::RequestTestCase::test_timeout_error\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":488,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-927"},"base_commit":{"kind":"string","value":"72e7a48eba23f7debb89903f31d67555b53fcbce"},"created_at":{"kind":"string","value":"2023-11-16 13:22:12"},"environment_setup_commit":{"kind":"string","value":"49209ff081784ca7d31121899ce1eb8eda7d294c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 4 files ±0 4 suites ±0 3m 32s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"duration of all tests\") -1s\n 431 tests +1 428 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") +1 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") ±0 \n1 724 runs +4 1 648 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") +4 76 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit ef417f45. ± Comparison against base commit 09a9b79e.\n\n[test-results]:data:application/gzip;base64,H4sIAGAYVmUC/03MSw6DMAxF0a2gjDvAxkmgm6lQiKWofKqQjKruvYZCysz3WHpvxWH0q7pXdKvUmkMqMeTYp7DMkggoIK+0Pxs467Fm5zbC9k/P8BJqCnAfRoG6gI9xiYfEPG+bYJGOOjfBUFvot2nNCZfNva+TbpmmkCSUZwLLpLVFi7UZ6s4R+KFhOR1b1NixQwL1+QJoniJECAEAAA==\n\ngithub-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against ef417f455727206d09c41ed3f6d0cf72529fc241 </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `76%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against ef417f455727206d09c41ed3f6d0cf72529fc241 </p>"},"patch":{"kind":"string","value":"diff --git a/docs/_static/product_types_information.csv b/docs/_static/product_types_information.csv\nindex 21b10020..61464555 100644\n--- a/docs/_static/product_types_information.csv\n+++ b/docs/_static/product_types_information.csv\n@@ -28,10 +28,10 @@ CLMS_GLO_GDMP_333M,\"Gross dry matter Productivity (GDMP) is an indication of the\n CLMS_GLO_LAI_333M,\"LAI was defined by CEOS as half the developed area of the convex hull wrapping the green canopy elements per unit horizontal ground. This definition allows accounting for elements which are not flat such as needles or stems. LAI is strongly non linearly related to reflectance. Therefore, its estimation from remote sensing observations will be scale dependant over heterogeneous landscapes. When observing a canopy made of different layers of vegetation, it is therefore mandatory to consider all the green layers. This is particularly important for forest canopies where the understory may represent a very significant contribution to the total canopy LAI. The derived LAI corresponds therefore to the total green LAI, including the contribution of the green elements of the understory. The product at 333m resolution is provided in Near Real Time and consolidated in the next six periods. \",\"OLCI,PROBA-V\",Sentinel-3,,,\"Land,Leaf-area-index,LAI,OLCI,PROBA-V,Sentinel-3\",,proprietary,Global 10-daily Leaf Area Index 333m,2014-01-10T00:00:00Z,,,,,,,,,,,,,,,,,,,,,available\r\n CLMS_GLO_NDVI_1KM_LTS,\"The Normalized Difference Vegetation Index (NDVI) is a proxy to quantify the vegetation amount. It is defined as NDVI=(NIR-Red)/(NIR+Red) where NIR corresponds to the reflectance in the near infrared band, and Red to the reflectance in the red band. The time series of dekadal (10-daily) NDVI 1km version 2 observations over the period 1999-2017 is used to calculate Long Term Statistics (LTS) for each of the 36 10-daily periods (dekads) of the year. The calculated LTS include the minimum, median, maximum, average, standard deviation and the number of observations in the covered time series period. These LTS can be used as a reference for actual NDVI observations, which allows evaluating whether vegetation conditions deviate from a 'normal' situation. \",\"VEGETATION,PROBA-V\",SPOT,,,\"Land,NDVI,LTS,SPOT,VEGETATION,PROBA-V\",,proprietary,\"Normalized Difference Vegetation Index: global Long Term Statistics (raster 1km) - version 2, Apr 2019\",1999-01-01T00:00:00Z,,,,,,,,,,,,,,,,,,,,,available\r\n CLMS_GLO_NDVI_333M,\"The Normalized Difference Vegetation Index (NDVI) is a proxy to quantify the vegetation amount. It is defined as NDVI=(NIR-Red)/(NIR+Red) where NIR corresponds to the reflectance in the near infrared band, and Red to the reflectance in the red band. It is closely related to FAPAR and is little scale dependant. \",PROBA-V,,,,\"Land,NDVI,PROBA-V\",,proprietary,Global 10-daily Normalized Difference Vegetation Index 333M,2014-01-01T00:00:00Z,,,,,,,,,,,,,,,,,,,,,available\r\n-COP_DEM_GLO30_DGED,\"Defence Gridded Elevation Data (DGED) formatted Copernicus DEM GLO-30 data. The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10, GLO-30 and GLO-90. GLO-30 provides worldwide coverage at 30 meters.Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026. \",,TerraSAR,,,\"TerraSAR,TanDEM-X,DEM,surface,GLO-30,DSM,GDGED\",ALTIMETRIC,proprietary,Copernicus DEM GLO-30 DGED,2010-06-21T00:00:00Z,,,,,,available,,,,,,,,,,,,,,,available\r\n-COP_DEM_GLO30_DTED,\"Digital Terrain Elevation Data (DTED) formatted Copernicus DEM GLO-30 data. The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10, GLO-30 and GLO-90. GLO-30 provides worldwide coverage at 30 meters.Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026. \",,TerraSAR,,,\"TerraSAR,TanDEM-X,DEM,surface,GLO-30,DSM,DTED\",ALTIMETRIC,proprietary,Copernicus DEM GLO-30 DTED,2010-06-21T00:00:00Z,,,,,,available,,,,,,,,,,,,,,,\r\n-COP_DEM_GLO90_DGED,\"Defence Gridded Elevation Data (DGED) formatted Copernicus DEM GLO-90 data. The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10, GLO-30 and GLO-90. GLO-90 provides worldwide coverage at 90 meters.Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026. \",,TerraSAR,,,\"TerraSAR,TanDEM-X,DEM,surface,GLO-90,DSM,GDGED\",ALTIMETRIC,proprietary,Copernicus DEM GLO-90 DGED,2010-06-21T00:00:00Z,,,,,,available,,,,,,,,,,,,,,,available\r\n-COP_DEM_GLO90_DTED,\"Digital Terrain Elevation Data (DTED) formatted Copernicus DEM GLO-90 data. The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10, GLO-30 and GLO-90. GLO-90 provides worldwide coverage at 90 meters.Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026. \",,TerraSAR,,,\"TerraSAR,TanDEM-X,DEM,surface,GLO-90,DSM,DTED\",ALTIMETRIC,proprietary,Copernicus DEM GLO-90 DTED,2010-06-21T00:00:00Z,,,,,,available,,,,,,,,,,,,,,,\r\n+COP_DEM_GLO30_DGED,\"Defence Gridded Elevation Data (DGED) formatted Copernicus DEM GLO-30 data. The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10, GLO-30 and GLO-90. GLO-30 provides worldwide coverage at 30 meters.Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026. \",,TerraSAR,,,\"TerraSAR,TanDEM-X,DEM,surface,GLO-30,DSM,GDGED\",ALTIMETRIC,proprietary,Copernicus DEM GLO-30 DGED,2010-06-21T00:00:00Z,,,,,,available,available,,,,,,,,,,,,,,available\r\n+COP_DEM_GLO30_DTED,\"Digital Terrain Elevation Data (DTED) formatted Copernicus DEM GLO-30 data. The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10, GLO-30 and GLO-90. GLO-30 provides worldwide coverage at 30 meters.Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026. \",,TerraSAR,,,\"TerraSAR,TanDEM-X,DEM,surface,GLO-30,DSM,DTED\",ALTIMETRIC,proprietary,Copernicus DEM GLO-30 DTED,2010-06-21T00:00:00Z,,,,,,available,available,,,,,,,,,,,,,,\r\n+COP_DEM_GLO90_DGED,\"Defence Gridded Elevation Data (DGED) formatted Copernicus DEM GLO-90 data. The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10, GLO-30 and GLO-90. GLO-90 provides worldwide coverage at 90 meters.Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026. \",,TerraSAR,,,\"TerraSAR,TanDEM-X,DEM,surface,GLO-90,DSM,GDGED\",ALTIMETRIC,proprietary,Copernicus DEM GLO-90 DGED,2010-06-21T00:00:00Z,,,,,,available,available,,,,,,,,,,,,,,available\r\n+COP_DEM_GLO90_DTED,\"Digital Terrain Elevation Data (DTED) formatted Copernicus DEM GLO-90 data. The Copernicus Digital Elevation Model is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. The Copernicus DEM is provided in 3 different instances: EEA-10, GLO-30 and GLO-90. GLO-90 provides worldwide coverage at 90 meters.Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026. \",,TerraSAR,,,\"TerraSAR,TanDEM-X,DEM,surface,GLO-90,DSM,DTED\",ALTIMETRIC,proprietary,Copernicus DEM GLO-90 DTED,2010-06-21T00:00:00Z,,,,,,available,available,,,,,,,,,,,,,,\r\n EEA_DAILY_SSM_1KM,\"Surface Soil Moisture (SSM) is the relative water content of the top few centimetres soil, describing how wet or dry the soil is in its topmost layer, expressed in percent saturation. It is measured by satellite radar sensors and allows insights in local precipitation impacts and soil conditions. SSM is a key driver of water and heat fluxes between the ground and the atmosphere, regulating air temperature and humidity. Moreover, in its role as water supply, it is vital to vegetation health. Vice versa, SSM is very sensitive to external forcing in the form of precipitation, temperature, solar irradiation, humidity, and wind. SSM is thus both an integrator of climatic conditions and a driver of local weather and climate, and plays a major role in global water-, energy- and carbon- cycles. Knowledge on the dynamics of soil moisture is important in the understanding of processes in many environmental and socio-economic fields, e.g., its impact on vegetation vitality, crop yield, droughts or exposure to flood threats. \",\"C-SAR,Metop ASCAT\",Sentinel-1,,,\"SSM,C-SAR,Metop-ASCAT,Sentinel-1\",RADAR,proprietary,\"Surface Soil Moisture: continental Europe daily (raster 1km) - version 1, Apr 2019\",2015-01-01T00:00:00Z,,,,,,,,,,,,,,,,,,,,,available\r\n EEA_DAILY_SWI_1KM,\"The Soil Water Index (SWI) quantifies the moisture condition at various depths in the soil. It is mainly driven by the precipitation via the process of infiltration. Soil moisture is a very heterogeneous variable and varies on small scales with soil properties and drainage patterns. Satellite measurements integrate over relative large-scale areas, with the presence of vegetation adding complexity to the interpretation. Soil moisture is a key parameter in numerous environmental studies including hydrology, meteorology and agriculture, and is recognized as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS). The SWI product provides daily information about moisture conditions in different soil layers. It includes a quality flag (QFLAG) indicating the availability of SSM measurements for SWI calculations, and a Surface State Flag (SSF) indicating frozen or snow covered soils. \",\"C-SAR,Metop ASCAT\",Sentinel-1,,,\"SWI,QFLAG,SSF,C-SAR,Metop-ASCAT,Sentinel-1\",RADAR,proprietary,\"Soil Water Index: continental Europe daily (raster 1km) - version 1, Apr 2019\",2015-01-01T00:00:00Z,,,,,,,,,,,,,,,,,,,,,available\r\n EEA_DAILY_VI,\"Vegetation Indices (VI) comprises four daily vegetation indices (PPI, NDVI, LAI and FAPAR) and quality information, that are part of the Copernicus Land Monitoring Service (CLMS) HR-VPP product suite. The 10m resolution, daily updated Plant Phenology Index (PPI), Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (fAPAR) are derived from Copernicus Sentinel-2 satellite observations. They are provided together with a related quality indicator (QFLAG2) that flags clouds, shadows, snow, open water and other areas where the VI retrieval is less reliable. These Vegetation Indices are made available as a set of raster files with 10 x 10m resolution, in UTM/WGS84 projection corresponding to the Sentinel-2 tiling grid, for those tiles that cover the EEA38 countries and the United Kingdom and for the period from 2017 until today, with daily updates. The Vegetation Indices are part of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). \",,Sentinel-2,\"S2A, S2B\",,\"Land,Plant-phenology-index,Phenology,Vegetation,Sentinel-2,S2A,S2B\",RADAR,proprietary,\"Vegetation Indices, daily, UTM projection\",,,,,,,,,,,,,,,,,,,,,,available\r\ndiff --git a/docs/getting_started_guide/configure.rst b/docs/getting_started_guide/configure.rst\nindex ac0559c5..4601b6ae 100644\n--- a/docs/getting_started_guide/configure.rst\n+++ b/docs/getting_started_guide/configure.rst\n@@ -137,6 +137,7 @@ Core configuration using environment variables\n \n Some EODAG core settings can be overriden using environment variables:\n \n+* ``EODAG_CFG_DIR`` customized configuration directory in place of ``~/.config/eodag``\n * ``EODAG_CFG_FILE`` for defining the desired path to the `user configuration file\\\n <https://eodag.readthedocs.io/en/stable/getting_started_guide/configure.html#yaml-user-configuration-file>`_\n * ``EODAG_LOCS_CFG_FILE`` for defining the desired path to the\ndiff --git a/eodag/api/core.py b/eodag/api/core.py\nindex bcd5d3e5..81a69d27 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -21,6 +21,7 @@ import logging\n import os\n import re\n import shutil\n+import tempfile\n from operator import itemgetter\n from typing import (\n TYPE_CHECKING,\n@@ -129,8 +130,27 @@ class EODataAccessGateway:\n self.product_types_config_md5 = obj_md5sum(self.product_types_config.source)\n self.providers_config = load_default_config()\n \n- self.conf_dir = os.path.join(os.path.expanduser(\"~\"), \".config\", \"eodag\")\n- makedirs(self.conf_dir)\n+ env_var_cfg_dir = \"EODAG_CFG_DIR\"\n+ self.conf_dir = os.getenv(\n+ env_var_cfg_dir,\n+ default=os.path.join(os.path.expanduser(\"~\"), \".config\", \"eodag\"),\n+ )\n+ try:\n+ makedirs(self.conf_dir)\n+ except OSError as e:\n+ logger.debug(e)\n+ tmp_conf_dir = os.path.join(tempfile.gettempdir(), \".config\", \"eodag\")\n+ logger.warning(\n+ f\"Cannot create configuration directory {self.conf_dir}. \"\n+ + f\"Falling back to temporary directory {tmp_conf_dir}.\"\n+ )\n+ if os.getenv(env_var_cfg_dir) is None:\n+ logger.warning(\n+ \"You can set the path of the configuration directory \"\n+ + f\"with the environment variable {env_var_cfg_dir}\"\n+ )\n+ self.conf_dir = tmp_conf_dir\n+ makedirs(self.conf_dir)\n \n self._plugins_manager = PluginManager(self.providers_config)\n # use updated providers_config\n"},"problem_statement":{"kind":"string","value":"EODataAccessGateway constructor fails on AWS Lambda\n**Describe the bug**\r\n\r\n`makedirs` [invocation](https://github.com/CS-SI/eodag/blob/develop/eodag/api/core.py#L98) within the EODataAccessGateway constructor causes `OSError: [Errno 30] Read-only file system` when run on AWS Lambda\r\n\r\n**Code To Reproduce**\r\nCLI commands or Python code snippet to reproduce the bug. Please use maximum verbosity using:\r\n\r\n```py\r\nfrom aws_lambda_powertools.logging import Logger\r\nfrom aws_lambda_powertools.tracing import Tracer\r\nfrom eodag import EODataAccessGateway\r\n\r\nlogger = Logger()\r\ntracer = Tracer()\r\n\r\n\r\n@tracer.capture_lambda_handler\r\n@logger.inject_lambda_context\r\ndef lambda_handler(event, context):\r\n EODataAccessGateway()\r\n```\r\n\r\n**Output**\r\nCompete output obtained with maximal verbosity.\r\n\r\n```\r\n[ERROR] OSError: [Errno 30] Read-only file system: '/home/sbx_user1051'\r\nTraceback (most recent call last):\r\n File \"/opt/python/aws_lambda_powertools/tracing/tracer.py\", line 305, in decorate\r\n response = lambda_handler(event, context, **kwargs)\r\n File \"/opt/python/aws_lambda_powertools/logging/logger.py\", line 438, in decorate\r\n return lambda_handler(event, context, *args, **kwargs)\r\n File \"/var/task/<my file, my line>, in lambda_handler\r\n EODataAccessGateway()\r\n File \"/opt/python/eodag/api/core.py\", line 91, in __init__\r\n makedirs(self.conf_dir)\r\n File \"/opt/python/eodag/utils/__init__.py\", line 496, in makedirs\r\n os.makedirs(dirpath)\r\n File \"/var/lang/lib/python3.9/os.py\", line 215, in makedirs\r\n makedirs(head, exist_ok=exist_ok)\r\n File \"/var/lang/lib/python3.9/os.py\", line 215, in makedirs\r\n makedirs(head, exist_ok=exist_ok)\r\n File \"/var/lang/lib/python3.9/os.py\", line 225, in makedirs\r\n mkdir(name, mode)\r\n```\r\n\r\n**Environment:**\r\n\r\n - Python version: 3.9\r\n - EODAG version: 2.5.2\r\n - Runtime: AWS Lambda\r\n\r\n**Additional context**\r\n\r\nFile system on AWS Lambda is read-only. It has \"ephemeral storage\" that could be accessed in `/tmp` ([1](https://aws.amazon.com/blogs/aws/aws-lambda-now-supports-up-to-10-gb-ephemeral-storage/), [2](https://aws.amazon.com/blogs/aws/aws-lambda-now-supports-up-to-10-gb-ephemeral-storage/)), however this class does not accept any configuration to where to point to `makedirs`. \r\n\r\nThe workaround that heavily relies on the [current implementation](https://github.com/CS-SI/eodag/blob/develop/eodag/api/core.py#L97) is to change `$HOME` env var before invoking the constructor. But it is barely acceptable and extremely inconvenient, since this variable is used by many tools locally and in automated tools along the way.\r\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex f5f118c4..46fc1bed 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -22,6 +22,7 @@ import json\n import logging\n import os\n import shutil\n+import tempfile\n import unittest\n import uuid\n from pathlib import Path\n@@ -1178,6 +1179,20 @@ class TestCoreConfWithEnvVar(TestCoreBase):\n \n \n class TestCoreInvolvingConfDir(unittest.TestCase):\n+ @classmethod\n+ def setUpClass(cls):\n+ super(TestCoreInvolvingConfDir, cls).setUpClass()\n+ cls.dag = EODataAccessGateway()\n+ # mock os.environ to empty env\n+ cls.mock_os_environ = mock.patch.dict(os.environ, {}, clear=True)\n+ cls.mock_os_environ.start()\n+\n+ @classmethod\n+ def tearDownClass(cls):\n+ super(TestCoreInvolvingConfDir, cls).tearDownClass()\n+ # stop os.environ\n+ cls.mock_os_environ.stop()\n+\n def setUp(self):\n super(TestCoreInvolvingConfDir, self).setUp()\n self.dag = EODataAccessGateway()\n@@ -1194,14 +1209,15 @@ class TestCoreInvolvingConfDir(unittest.TestCase):\n except OSError:\n shutil.rmtree(old_path)\n \n- def execution_involving_conf_dir(self, inspect=None):\n+ def execution_involving_conf_dir(self, inspect=None, conf_dir=None):\n \"\"\"Check that the path(s) inspected (str, list) are created after the instantation\n of EODataAccessGateway. If they were already there, rename them (.old), instantiate,\n check, delete the new files, and restore the existing files to there previous name.\"\"\"\n if inspect is not None:\n+ if conf_dir is None:\n+ conf_dir = os.path.join(os.path.expanduser(\"~\"), \".config\", \"eodag\")\n if isinstance(inspect, str):\n inspect = [inspect]\n- conf_dir = os.path.join(os.path.expanduser(\"~\"), \".config\", \"eodag\")\n olds = []\n currents = []\n for inspected in inspect:\n@@ -1233,6 +1249,49 @@ class TestCoreInvolvingConfDir(unittest.TestCase):\n \"\"\"The core object must create a locations config file and a shp dir in standard user config location on instantiation\"\"\" # noqa\n self.execution_involving_conf_dir(inspect=[\"locations.yml\", \"shp\"])\n \n+ def test_read_only_home_dir(self):\n+ # standard directory\n+ home_dir = os.path.join(os.path.expanduser(\"~\"), \".config\", \"eodag\")\n+ self.execution_involving_conf_dir(inspect=\"eodag.yml\", conf_dir=home_dir)\n+\n+ # user defined directory\n+ user_dir = os.path.join(os.path.expanduser(\"~\"), \".config\", \"another_eodag\")\n+ os.environ[\"EODAG_CFG_DIR\"] = user_dir\n+ self.execution_involving_conf_dir(inspect=\"eodag.yml\", conf_dir=user_dir)\n+ shutil.rmtree(user_dir)\n+ del os.environ[\"EODAG_CFG_DIR\"]\n+\n+ # fallback temporary folder\n+ def makedirs_side_effect(dir):\n+ if dir == os.path.join(os.path.expanduser(\"~\"), \".config\", \"eodag\"):\n+ raise OSError(\"Mock makedirs error\")\n+ else:\n+ return makedirs(dir)\n+\n+ with mock.patch(\n+ \"eodag.api.core.makedirs\", side_effect=makedirs_side_effect\n+ ) as mock_makedirs:\n+ # backup temp_dir if exists\n+ temp_dir = temp_dir_old = os.path.join(\n+ tempfile.gettempdir(), \".config\", \"eodag\"\n+ )\n+ if os.path.exists(temp_dir):\n+ temp_dir_old = f\"{temp_dir}.old\"\n+ shutil.move(temp_dir, temp_dir_old)\n+\n+ EODataAccessGateway()\n+ expected = [unittest.mock.call(home_dir), unittest.mock.call(temp_dir)]\n+ mock_makedirs.assert_has_calls(expected)\n+ self.assertTrue(os.path.exists(temp_dir))\n+\n+ # restore temp_dir\n+ if temp_dir_old != temp_dir:\n+ try:\n+ shutil.rmtree(temp_dir)\n+ except OSError:\n+ os.unlink(temp_dir)\n+ shutil.move(temp_dir_old, temp_dir)\n+\n \n class TestCoreGeometry(TestCoreBase):\n @classmethod\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 0,\n \"test_score\": 1\n },\n \"num_modified_files\": 3\n}"},"version":{"kind":"string","value":"2.11"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndecorator==5.2.1\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@72e7a48eba23f7debb89903f31d67555b53fcbce#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.5.3\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npycryptodome==3.22.0\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.1\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-ftp==0.3.1\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.23.3\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nstarlette==0.46.1\nstream-zip==0.0.83\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntypes-PyYAML==6.0.12.20250326\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - decorator==5.2.1\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.11.1.dev38+g72e7a48e\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.5.3\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pycryptodome==3.22.0\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.1\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-ftp==0.3.1\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.23.3\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - shellingham==1.5.4\n - six==1.17.0\n - sniffio==1.3.1\n - starlette==0.46.1\n - stream-zip==0.0.83\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typer==0.15.2\n - types-pyyaml==6.0.12.20250326\n - typing-extensions==4.13.0\n - typing-inspection==0.4.0\n - tzdata==2025.2\n - ujson==5.10.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - uvicorn==0.34.0\n - uvloop==0.21.0\n - virtualenv==20.29.3\n - watchfiles==1.0.4\n - websockets==15.0.1\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_core.py::TestCoreInvolvingConfDir::test_read_only_home_dir"],"string":"[\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_read_only_home_dir\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list 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\"tests/units/test_core.py::TestCore::test_build_index_ko\",\n \"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found\",\n \"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists\",\n \"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config\",\n \"tests/units/test_core.py::TestCore::test_discover_product_types\",\n \"tests/units/test_core.py::TestCore::test_discover_product_types_with_api_plugin\",\n \"tests/units/test_core.py::TestCore::test_discover_product_types_without_plugin\",\n \"tests/units/test_core.py::TestCore::test_fetch_product_types_list\",\n \"tests/units/test_core.py::TestCore::test_fetch_product_types_list_disabled\",\n \"tests/units/test_core.py::TestCore::test_fetch_product_types_list_updated_system_conf\",\n \"tests/units/test_core.py::TestCore::test_fetch_product_types_list_without_ext_conf\",\n \"tests/units/test_core.py::TestCore::test_get_version\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_fetch_providers\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_for_unsupported_provider\",\n \"tests/units/test_core.py::TestCore::test_list_product_types_ok\",\n \"tests/units/test_core.py::TestCore::test_list_queryables\",\n \"tests/units/test_core.py::TestCore::test_prune_providers_list\",\n \"tests/units/test_core.py::TestCore::test_prune_providers_list_for_search_without_auth\",\n \"tests/units/test_core.py::TestCore::test_prune_providers_list_without_api_or_search_plugin\",\n \"tests/units/test_core.py::TestCore::test_rebuild_index\",\n \"tests/units/test_core.py::TestCore::test_set_preferred_provider\",\n \"tests/units/test_core.py::TestCore::test_supported_product_types_in_unit_test\",\n \"tests/units/test_core.py::TestCore::test_supported_providers_in_unit_test\",\n \"tests/units/test_core.py::TestCore::test_update_product_types_list\",\n \"tests/units/test_core.py::TestCore::test_update_product_types_list_unknown_provider\",\n \"tests/units/test_core.py::TestCore::test_update_product_types_list_with_api_plugin\",\n \"tests/units/test_core.py::TestCore::test_update_product_types_list_without_plugin\",\n \"tests/units/test_core.py::TestCore::test_update_providers_config\",\n \"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_config_file_in_envvar\",\n \"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_locations_file_in_envvar\",\n \"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_providers_file_in_envvar\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_config_standard_location\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_index_if_not_exist\",\n \"tests/units/test_core.py::TestCoreInvolvingConfDir::test_core_object_creates_locations_standard_location\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_locations_no_match_raises_error\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_locations_with_wrong_location_name_in_kwargs\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_locations_with_wrong_location_name_in_locations_dict\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_no_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations\",\n \"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_can_raise_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_counts_by_default\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_does_not_raise_by_default\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_doest_not_register_downloader_if_no_search_intersection\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_fuzzy_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_no_count_returned\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_paginated_handle_null_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_query_products_must_be_a_list\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_register_downloader_if_search_intersection\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_support_itemsperpage_higher_than_maximum\",\n \"tests/units/test_core.py::TestCoreSearch::test__do_search_without_count\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_dates\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_geom\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_locations\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_parameters\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_plugins_when_search_by_id\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_available\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_available_with_alias\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_peps_plugins_product_not_available\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_preserve_additional_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_guess_it\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_product_type_provided\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_remove_guess_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_generic_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_search_plugin_has_known_product_properties\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_unknown_product_type\",\n \"tests/units/test_core.py::TestCoreSearch::test__prepare_search_with_id\",\n \"tests/units/test_core.py::TestCoreSearch::test__search_by_id\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_without_kwargs\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_must_collect_them_all\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_unknown_product_type\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_default_value\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_use_max_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_all_user_items_per_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_does_not_handle_query_errors\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_and_quit_early\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_exhaust_get_all_pages_no_products_last_page\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_must_reset_next_attrs_if_next_mechanism\",\n \"tests/units/test_core.py::TestCoreSearch::test_search_iter_page_returns_iterator\",\n \"tests/units/test_core.py::TestCoreDownload::test_download_local_product\",\n \"tests/units/test_core.py::TestCoreProductAlias::test_get_alias_from_product_type\",\n \"tests/units/test_core.py::TestCoreProductAlias::test_get_product_type_from_alias\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":489,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-961"},"base_commit":{"kind":"string","value":"0dcc36d255600669d69fd757f7af6d20e5a4faf1"},"created_at":{"kind":"string","value":"2023-12-13 13:17:57"},"environment_setup_commit":{"kind":"string","value":"49209ff081784ca7d31121899ce1eb8eda7d294c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 2 files - 1 2 suites - 1 1m 30s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"duration of all tests\") -1s\n440 tests ±0 436 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") ±0 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") ±0 1 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") ±0 \n689 runs +7 653 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") +7 35 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") ±0 1 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") ±0 \n\nFor more details on these failures, see [this check](https://github.com/CS-SI/eodag/runs/19599283533).\n\nResults for commit b4f3f2a5. ± Comparison against base commit 0dcc36d2.\n\n[test-results]:data:application/gzip;base64,H4sIALqveWUC/03MSw7CIBSF4a00jB0ob9yM4XUTYlsMhZFx715Mix3+30nOm0Ca40buE71MZGupjgit2Jryimmu2LjUvnE+6rE17zsx+adneiGxAWDTjHAbEEvJBaXflLb2T6nNHselFGzI/igOOD3++nzo87KkikEcBwbUCqeilY55CBAsZYKCj0oHZcArG4Mmny/gD4/6BQEAAA==\n"},"patch":{"kind":"string","value":"diff --git a/eodag/rest/stac.py b/eodag/rest/stac.py\nindex 4114e3c5..8f84ddea 100644\n--- a/eodag/rest/stac.py\n+++ b/eodag/rest/stac.py\n@@ -275,20 +275,28 @@ class StacItem(StacCommon):\n \"href\"\n ] = f\"{without_arg_url}?{urlencode(query_dict, doseq=True)}\"\n \n- # add origin assets to product assets\n- origin_assets = product_item[\"assets\"].pop(\"origin_assets\")\n+ # move origin asset urls to alternate links and replace with eodag-server ones\n+ origin_assets = product_item[\"assets\"].pop(\"origin_assets\", {})\n if getattr(product, \"assets\", False):\n # replace origin asset urls with eodag-server ones\n for asset_key, asset_value in origin_assets.items():\n- origin_assets[asset_key][\"href\"] = without_arg_url\n+ # use origin asset as default\n+ product_item[\"assets\"][asset_key] = asset_value\n+ # origin assets as alternate link\n+ product_item[\"assets\"][asset_key][\"alternate\"] = {\n+ \"origin\": {\n+ \"title\": \"Origin asset link\",\n+ \"href\": asset_value[\"href\"],\n+ }\n+ }\n+ # use server-mode assets download links\n+ asset_value[\"href\"] = without_arg_url\n if query_dict:\n- origin_assets[asset_key][\n+ product_item[\"assets\"][asset_key][\n \"href\"\n ] += f\"/{asset_key}?{urlencode(query_dict, doseq=True)}\"\n else:\n- origin_assets[asset_key][\"href\"] += f\"/{asset_key}\"\n-\n- product_item[\"assets\"] = dict(product_item[\"assets\"], **origin_assets)\n+ product_item[\"assets\"][asset_key][\"href\"] += f\"/{asset_key}\"\n \n # apply conversion if needed\n for prop_key, prop_val in need_conversion.items():\n"},"problem_statement":{"kind":"string","value":"eodag-authenticated and origin raw assets both available in server mode\nIn server mode, once #721 is done, make available both eodag-authenticated and origin raw assets using https://github.com/stac-extensions/alternate-assets:\n```json\n{\n \"features\": [\n {\n \"id\": \"some-product\",\n \"assets\": {\n \"B01\": {\n \"title\": \"Download link\",\n \"href\": \"http://127.0.0.1:5000/collections/some-collection/items/some-product/download/B01\",\n \"alternate\": {\n \"origin\": {\n \"title\": \"Origin asset link\",\n \"href\": \"s3://path/to/B01-asset\"\n }\n }\n }\n }\n }\n ]\n}\n```\n"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_stac_utils.py b/tests/units/test_stac_utils.py\nindex 6b3fd0f1..7e03f4ab 100644\n--- a/tests/units/test_stac_utils.py\n+++ b/tests/units/test_stac_utils.py\n@@ -453,10 +453,16 @@ class TestStacUtils(unittest.TestCase):\n \"assets\"\n ].items():\n self.assertIn(k, response[\"features\"][0][\"assets\"].keys())\n+ # check asset server-mode download link\n self.assertEqual(\n response[\"features\"][0][\"assets\"][k][\"href\"],\n f\"http://foo/collections/S2_MSI_L2A/items/{product_id}/download/{k}?provider=earth_search\",\n )\n+ # check asset origin download link\n+ self.assertEqual(\n+ response[\"features\"][0][\"assets\"][k][\"alternate\"][\"origin\"][\"href\"],\n+ self.earth_search_resp_search_json[\"features\"][0][\"assets\"][k][\"href\"],\n+ )\n # preferred provider should not be changed\n self.assertEqual(\"peps\", self.rest_utils.eodag_api.get_preferred_provider()[0])\n \n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_issue_reference\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 3,\n \"test_score\": 0\n },\n \"num_modified_files\": 1\n}"},"version":{"kind":"string","value":"2.11"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"tox\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndecorator==5.2.1\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@0dcc36d255600669d69fd757f7af6d20e5a4faf1#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.5.3\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npycryptodome==3.22.0\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-ftp==0.3.1\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.23.3\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nstarlette==0.46.1\nstream-zip==0.0.83\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntypes-PyYAML==6.0.12.20250326\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.30.0\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - decorator==5.2.1\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.11.1.dev15+g0dcc36d2\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.5.3\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pycryptodome==3.22.0\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-ftp==0.3.1\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.23.3\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - shellingham==1.5.4\n - six==1.17.0\n - sniffio==1.3.1\n - starlette==0.46.1\n - stream-zip==0.0.83\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typer==0.15.2\n - types-pyyaml==6.0.12.20250326\n - typing-extensions==4.13.0\n - typing-inspection==0.4.0\n - tzdata==2025.2\n - ujson==5.10.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - uvicorn==0.34.0\n - uvloop==0.21.0\n - virtualenv==20.30.0\n - watchfiles==1.0.4\n - websockets==15.0.1\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_with_stac_providers"],"string":"[\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_with_stac_providers\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/units/test_stac_utils.py::TestStacUtils::test_detailled_collections_list","tests/units/test_stac_utils.py::TestStacUtils::test_filter_products","tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_filter_misuse_raise_error","tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_missing_additional_parameters_raise_error","tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_unknown_cruncher_raise_error","tests/units/test_stac_utils.py::TestStacUtils::test_format_product_types","tests/units/test_stac_utils.py::TestStacUtils::test_get_arguments_query_paths","tests/units/test_stac_utils.py::TestStacUtils::test_get_criterias_from_metadata_mapping","tests/units/test_stac_utils.py::TestStacUtils::test_get_date","tests/units/test_stac_utils.py::TestStacUtils::test_get_datetime","tests/units/test_stac_utils.py::TestStacUtils::test_get_geometry","tests/units/test_stac_utils.py::TestStacUtils::test_get_int","tests/units/test_stac_utils.py::TestStacUtils::test_get_metadata_query_paths","tests/units/test_stac_utils.py::TestStacUtils::test_get_pagination_info","tests/units/test_stac_utils.py::TestStacUtils::test_get_product_types","tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_catalogs","tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_collection_by_id","tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_collections","tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_conformance","tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_extension_oseo","tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_item_by_id","tests/units/test_stac_utils.py::TestStacUtils::test_get_templates_path","tests/units/test_stac_utils.py::TestStacUtils::test_home_page_content","tests/units/test_stac_utils.py::TestStacUtils::test_search_bbox","tests/units/test_stac_utils.py::TestStacUtils::test_search_product_by_id","tests/units/test_stac_utils.py::TestStacUtils::test_search_products","tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_get","tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_post","tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_with_non_stac_providers"],"string":"[\n \"tests/units/test_stac_utils.py::TestStacUtils::test_detailled_collections_list\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_filter_misuse_raise_error\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_missing_additional_parameters_raise_error\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_unknown_cruncher_raise_error\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_format_product_types\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_arguments_query_paths\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_criterias_from_metadata_mapping\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_date\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_datetime\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_geometry\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_int\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_metadata_query_paths\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_pagination_info\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_product_types\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_catalogs\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_collection_by_id\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_collections\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_conformance\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_extension_oseo\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_stac_item_by_id\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_get_templates_path\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_home_page_content\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_bbox\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_product_by_id\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_products\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_get\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_post\",\n \"tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_with_non_stac_providers\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-961"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cs-si_1776_eodag-961"}}},{"rowIdx":490,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-969"},"base_commit":{"kind":"string","value":"40fe987ec3a0644e660653a7a330dbaefca9d610"},"created_at":{"kind":"string","value":"2023-12-20 17:10:27"},"environment_setup_commit":{"kind":"string","value":"49209ff081784ca7d31121899ce1eb8eda7d294c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 4 files ±0 4 suites ±0 4m 4s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"duration of all tests\") -1s\n 441 tests ±0 438 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") ±0 3 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") ±0 \n1 764 runs ±0 1 686 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"passed tests\") ±0 78 [:zzz:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"skipped / disabled tests\") ±0 0 [:x:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols \"failed tests\") ±0 \n\nResults for commit 4f2bc269. ± Comparison against base commit 40fe987e.\n\n[test-results]:data:application/gzip;base64,H4sIAM4gg2UC/03MQQ6DIBCF4asY1l0UHEfpZRocICFVaRBWpncvWKUu/+8lb2PWTWZljwZuDVuTizV0Cio6v+QUUCBPcR+Bn/VcE1GhdvjTy70ztRWsclOGewUTgg+HhLSUT94jHHV+chyw0u+zH064fO59vSQ/zy7mYGDFSAKlBm06S5pAQgeGS0GklFZIYlQILft8AYRMzQQIAQAA\n\ngithub-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `82%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 4f2bc269d4de5fcdc49454e192ccaada6c2ba643 </p>\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `76%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against 4f2bc269d4de5fcdc49454e192ccaada6c2ba643 </p>"},"patch":{"kind":"string","value":"diff --git a/docs/_static/product_types_information.csv b/docs/_static/product_types_information.csv\nindex a693c35f..9762a9fc 100644\n--- a/docs/_static/product_types_information.csv\n+++ b/docs/_static/product_types_information.csv\n@@ -79,7 +79,7 @@ S1_SAR_OCN,\"Level-2 OCN products include components for Ocean Swell spectra (OSW\n S1_SAR_RAW,\"The SAR Level-0 products consist of the sequence of Flexible Dynamic Block Adaptive Quantization (FDBAQ) compressed unfocused SAR raw data. For the data to be usable, it will need to be decompressed and processed using a SAR processor. SAFE formatted product, see https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification \",SAR,SENTINEL1,\"S1A,S1B\",L0,\"SAR,SENTINEL,SENTINEL1,S1,S1A,S1B,L0,RAW,SAFE\",RADAR,proprietary,SENTINEL1 SAR Level-0,2014-04-03T00:00:00Z,,,,,available,available,,,,,,,available,,,,,,,available\r\n S1_SAR_SLC,\"Level-1 Single Look Complex (SLC) products consist of focused SAR data geo-referenced using orbit and attitude data from the satellite and provided in zero-Doppler slant-range geometry. The products include a single look in each dimension using the full transmit signal bandwidth and consist of complex samples preserving the phase information. SAFE formatted product, see https://sentinel.esa.int/web/sentinel/user-guides/sentinel-1-sar/data-formats/safe-specification \",SAR,SENTINEL1,\"S1A,S1B\",L1,\"SAR,SENTINEL,SENTINEL1,S1,S1A,S1B,L1,SLC,SAFE\",RADAR,proprietary,SENTINEL1 Level-1 Single Look Complex,2014-04-03T00:00:00Z,,,,,available,available,,,,,,,available,available,,available,,,,available\r\n S2_MSI_L1C,\"The Level-1C product is composed of 100x100 km2 tiles (ortho-images in UTM/WGS84 projection). It results from using a Digital Elevation Model (DEM) to project the image in cartographic geometry. Per-pixel radiometric measurements are provided in Top Of Atmosphere (TOA) reflectances along with the parameters to transform them into radiances. Level-1C products are resampled with a constant Ground Sampling Distance (GSD) of 10, 20 and 60 meters depending on the native resolution of the different spectral bands. In Level-1C products, pixel coordinates refer to the upper left corner of the pixel. Level-1C products will additionally include Cloud Masks and ECMWF data (total column of ozone, total column of water vapour and mean sea level pressure). SAFE formatted product, see https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi/data-formats \",MSI,SENTINEL2,\"S2A,S2B\",L1,\"MSI,SENTINEL,SENTINEL2,S2,S2A,S2B,L1,L1C,SAFE\",OPTICAL,proprietary,SENTINEL2 Level-1C,2015-06-23T00:00:00Z,available,available,,,available,available,available,,available,,,,available,available,,available,,available,,available\r\n-S2_MSI_L2A,\"The Level-2A product provides Bottom Of Atmosphere (BOA) reflectance images derived from the associated Level-1C products. Each Level-2A product is composed of 100x100 km2 tiles in cartographic geometry (UTM/WGS84 projection). SAFE formatted product, see https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi/data-formats \",MSI,SENTINEL2,\"S2A,S2B\",L2,\"MSI,SENTINEL,SENTINEL2,S2,S2A,S2B,L2,L2A,SAFE\",OPTICAL,proprietary,SENTINEL2 Level-2A,2018-03-26T00:00:00Z,available,available,,,available,available,available,,,,,,available,available,available,available,,,,available\r\n+S2_MSI_L2A,\"The Level-2A product provides Bottom Of Atmosphere (BOA) reflectance images derived from the associated Level-1C products. Each Level-2A product is composed of 100x100 km2 tiles in cartographic geometry (UTM/WGS84 projection). SAFE formatted product, see https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi/data-formats \",MSI,SENTINEL2,\"S2A,S2B\",L2,\"MSI,SENTINEL,SENTINEL2,S2,S2A,S2B,L2,L2A,SAFE\",OPTICAL,proprietary,SENTINEL2 Level-2A,2018-03-26T00:00:00Z,available,available,,,available,available,available,,,,,,available,,available,available,,,,available\r\n S2_MSI_L2AP,\"The Level-2A product provides Bottom Of Atmosphere (BOA) reflectance images derived from the associated Level-1C products. Each Level-2A product is composed of 100x100 km2 tiles in cartographic geometry (UTM/WGS84 projection). SAFE formatted product, see https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi/data-formats. Level-2AP are the pilot products of Level-2A product generated by ESA until March 2018. After March, they are operational products \",MSI,SENTINEL2,\"S2A,S2B\",L2,\"MSI,SENTINEL,SENTINEL2,S2,S2A,S2B,L2,L2A,SAFE, pilot\",OPTICAL,proprietary,SENTINEL2 Level-2A pilot,2017-05-23T00:00:00Z,,,,,,,,,,,,,,,,,,,,available\r\n S2_MSI_L2A_COG,\"The Level-2A product provides Bottom Of Atmosphere (BOA) reflectance images derived from the associated Level-1C products. Each Level-2A product is composed of 100x100 km2 tiles in cartographic geometry (UTM/WGS84 projection). Product containing Cloud Optimized GeoTIFF images, without SAFE formatting. \",MSI,SENTINEL2,\"S2A,S2B\",L2,\"MSI,SENTINEL,SENTINEL2,S2,S2A,S2B,L2,L2A,COG\",OPTICAL,proprietary,SENTINEL2 Level-2A,2015-06-23T00:00:00Z,,,,,,,,available,,,,,,,,,,,,\r\n S2_MSI_L2A_MAJA,\"The level 2A products correct the data for atmospheric effects and detect the clouds and their shadows using MAJA. MAJA uses MUSCATE processing center at CNES, in the framework of THEIA land data center. Sentinel-2 level 1C data are downloaded from PEPS. The full description of the product format is available at https://theia.cnes.fr/atdistrib/documents/PSC-NT-411-0362-CNES_01_00_SENTINEL-2A_L2A_Products_Description.pdf \",MSI,SENTINEL2,\"S2A,S2B\",L2,\"MSI,SENTINEL,SENTINEL2,S2,S2A,S2B,L2,L2A,MAJA\",OPTICAL,proprietary,SENTINEL2 Level-2A,2015-06-23T00:00:00Z,,,,,,,,,,,,,,,,,available,,,\r\ndiff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml\nindex f29e49a0..39da2a7a 100644\n--- a/eodag/resources/providers.yml\n+++ b/eodag/resources/providers.yml\n@@ -850,9 +850,6 @@\n S2_MSI_L1C:\n collection: S2ST\n productType: S2MSI1C\n- S2_MSI_L2A:\n- collection: S2ST\n- productType: S2MSI2A\n GENERIC_PRODUCT_TYPE:\n productType: '{productType}'\n collection: '{collection}'\n"},"problem_statement":{"kind":"string","value":"remove S2_MSI_L2A from peps\nRemove `S2_MSI_L2A` from the product types available through `peps`"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/units/test_core.py b/tests/units/test_core.py\nindex f483ba47..9b186289 100644\n--- a/tests/units/test_core.py\n+++ b/tests/units/test_core.py\n@@ -214,7 +214,6 @@ class TestCore(TestCoreBase):\n \"creodias\",\n \"earth_search\",\n \"onda\",\n- \"peps\",\n \"planetary_computer\",\n \"sara\",\n \"wekeo\",\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_short_problem_statement\",\n \"has_many_modified_files\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 0,\n \"issue_text_score\": 1,\n \"test_score\": 0\n },\n \"num_modified_files\": 2\n}"},"version":{"kind":"string","value":"2.11"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndecorator==5.2.1\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@40fe987ec3a0644e660653a7a330dbaefca9d610#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.5.3\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\npandas==2.2.3\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npycryptodome==3.22.0\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.1\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-asyncio==0.26.0\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-ftp==0.3.1\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.23.3\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nstarlette==0.46.1\nstream-zip==0.0.83\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntypes-PyYAML==6.0.12.20250326\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxarray==2024.7.0\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - decorator==5.2.1\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.11.1.dev18+g40fe987e\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.5.3\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - pandas==2.2.3\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pycryptodome==3.22.0\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.1\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-asyncio==0.26.0\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-ftp==0.3.1\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.23.3\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - shellingham==1.5.4\n - six==1.17.0\n - sniffio==1.3.1\n - starlette==0.46.1\n - stream-zip==0.0.83\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typer==0.15.2\n - types-pyyaml==6.0.12.20250326\n - typing-extensions==4.13.0\n - typing-inspection==0.4.0\n - tzdata==2025.2\n - ujson==5.10.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - uvicorn==0.34.0\n - uvloop==0.21.0\n - virtualenv==20.29.3\n - watchfiles==1.0.4\n - websockets==15.0.1\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xarray==2024.7.0\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok"],"string":"[\n \"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list 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\"tests/units/test_core.py::TestCoreProductAlias::test_get_product_type_from_alias\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":491,"cells":{"instance_id":{"kind":"string","value":"CS-SI__eodag-987"},"base_commit":{"kind":"string","value":"fe2a51497fa806f856e9bbb4e3911e7c78dad17e"},"created_at":{"kind":"string","value":"2024-01-12 19:03:03"},"environment_setup_commit":{"kind":"string","value":"49209ff081784ca7d31121899ce1eb8eda7d294c"},"hints_text":{"kind":"string","value":"github-actions[bot]: ## Test Results\n 1 files - 3 1 suites - 3 18s :stopwatch: - 3m 52s\n 36 tests - 412 0 :white_check_mark: - 445 0 :zzz: - 3 0 :x: ±0 36 :fire: + 36 \n165 runs - 1 627 0 :white_check_mark: - 1 714 0 :zzz: - 78 0 :x: ±0 165 :fire: +165 \n\nFor more details on these errors, see [this check](https://github.com/CS-SI/eodag/runs/20437640306).\n\nResults for commit 06858612. ± Comparison against base commit 0f094d51.\n\n<details>\n <summary>This pull request <b>removes</b> 448 and <b>adds</b> 36 tests. <i>Note that renamed tests count towards both.</i></summary>\n\n```\neodag.types.__init__ ‑ eodag.types.json_field_definition_to_python\neodag.types.__init__ ‑ eodag.types.json_type_to_python\neodag.types.__init__ ‑ eodag.types.model_fields_to_annotated_tuple\neodag.types.__init__ ‑ eodag.types.python_field_definition_to_json\neodag.types.__init__ ‑ eodag.types.python_type_to_json\neodag.types.queryables ‑ eodag.types.queryables.CommonQueryables.get_queryable_from_alias\neodag.utils.__init__ ‑ eodag.utils.cached_parse\neodag.utils.__init__ ‑ eodag.utils.dict_items_recursive_apply\neodag.utils.__init__ ‑ eodag.utils.dict_items_recursive_sort\neodag.utils.__init__ ‑ eodag.utils.format_dict_items\n…\n```\n\n```\neodag.types.__init__\neodag.types.bbox\neodag.types.queryables\neodag.types.search_args\neodag.utils.__init__\neodag.utils.exceptions\neodag.utils.import_system\neodag.utils.logging\neodag.utils.notebook\neodag.utils.stac_reader\n…\n```\n</details>\n\n[test-results]:data:application/gzip;base64,H4sIAGaNoWUC/1XNyw6DIBCF4VcxrLtgECn2ZRoumkyq0nBZmb57EUvV5Xcm+WclI05DII8Gbg0JCeMfNnkV0S0bZXa+xO3WiopnSMbkhR7DC9+XYVQ4XYbBe+drxaelfBPdD+fi7iNYfOoV19yeMG6eMWYSKmQnBTB2l6Ds0AMXIDnQVnFlmTbANadW9+TzBQrSdBICAQAA\n\ngithub-actions[bot]: <strong>Code Coverage (Windows)</strong>\n\n| File | Coverage | |\n| - | :-: | :-: |\n| **All files** | `76%` | :white_check_mark: |\n\n_Minimum allowed coverage is `70%`_\n\n<p align=\"right\">Generated by :monkey: cobertura-action against e35358ed56c513d2df4da473fe9e2e32ec7ee8aa </p>"},"patch":{"kind":"string","value":"diff --git a/eodag/api/core.py b/eodag/api/core.py\nindex 5bd91ddc..a7a08e78 100644\n--- a/eodag/api/core.py\n+++ b/eodag/api/core.py\n@@ -83,6 +83,7 @@ from eodag.utils.exceptions import (\n from eodag.utils.stac_reader import fetch_stac_items\n \n if TYPE_CHECKING:\n+ from pydantic.fields import FieldInfo\n from shapely.geometry.base import BaseGeometry\n from whoosh.index import Index\n \n@@ -2086,7 +2087,7 @@ class EODataAccessGateway:\n self,\n provider: Optional[str] = None,\n product_type: Optional[str] = None,\n- ) -> Dict[str, Tuple[Annotated, Any]]:\n+ ) -> Dict[str, Tuple[Annotated[Any, FieldInfo], Any]]:\n \"\"\"Fetch the queryable properties for a given product type and/or provider.\n \n :param provider: (optional) The provider.\n@@ -2096,7 +2097,7 @@ class EODataAccessGateway:\n :returns: A dict containing the EODAG queryable properties, associating\n parameters to a tuple containing their annotaded type and default\n value\n- :rtype: Dict[str, Tuple[Annotated, Any]]\n+ :rtype: Dict[str, Tuple[Annotated[Any, FieldInfo], Any]]\n \"\"\"\n # unknown product type\n if product_type is not None and product_type not in self.list_product_types(\n@@ -2106,7 +2107,7 @@ class EODataAccessGateway:\n \n # dictionary of the queryable properties of the providers supporting the given product type\n providers_available_queryables: Dict[\n- str, Dict[str, Tuple[Annotated, Any]]\n+ str, Dict[str, Tuple[Annotated[Any, FieldInfo], Any]]\n ] = dict()\n \n if provider is None and product_type is None:\ndiff --git a/eodag/config.py b/eodag/config.py\nindex 237ad87c..bba53bad 100644\n--- a/eodag/config.py\n+++ b/eodag/config.py\n@@ -20,8 +20,8 @@ from __future__ import annotations\n import logging\n import os\n import tempfile\n+from inspect import isclass\n from typing import (\n- TYPE_CHECKING,\n Any,\n Dict,\n ItemsView,\n@@ -32,6 +32,7 @@ from typing import (\n TypedDict,\n Union,\n ValuesView,\n+ get_type_hints,\n )\n \n import orjson\n@@ -39,13 +40,16 @@ import requests\n import yaml\n import yaml.constructor\n import yaml.parser\n+from jsonpath_ng import JSONPath\n from pkg_resources import resource_filename\n+from requests.auth import AuthBase\n \n from eodag.utils import (\n HTTP_REQ_TIMEOUT,\n USER_AGENT,\n cached_yaml_load,\n cached_yaml_load_all,\n+ cast_scalar_value,\n deepcopy,\n dict_items_recursive_apply,\n merge_mappings,\n@@ -56,10 +60,6 @@ from eodag.utils import (\n )\n from eodag.utils.exceptions import ValidationError\n \n-if TYPE_CHECKING:\n- from jsonpath_ng import JSONPath\n- from requests.auth import AuthBase\n-\n logger = logging.getLogger(\"eodag.config\")\n \n EXT_PRODUCT_TYPES_CONF_URI = (\n@@ -250,7 +250,7 @@ class PluginConfig(yaml.YAMLObject):\n need_auth: bool\n result_type: str\n results_entry: str\n- pagination: Pagination\n+ pagination: PluginConfig.Pagination\n query_params_key: str\n discover_metadata: Dict[str, str]\n discover_product_types: Dict[str, Any]\n@@ -266,7 +266,7 @@ class PluginConfig(yaml.YAMLObject):\n merge_responses: bool # PostJsonSearch for aws_eos\n collection: bool # PostJsonSearch for aws_eos\n max_connections: int # StaticStacSearch\n- timeout: int # StaticStacSearch\n+ timeout: float # StaticStacSearch\n \n # download -------------------------------------------------------------------------\n base_uri: str\n@@ -275,7 +275,7 @@ class PluginConfig(yaml.YAMLObject):\n order_enabled: bool # HTTPDownload\n order_method: str # HTTPDownload\n order_headers: Dict[str, str] # HTTPDownload\n- order_status_on_success: OrderStatusOnSuccess\n+ order_status_on_success: PluginConfig.OrderStatusOnSuccess\n bucket_path_level: int # S3RestDownload\n \n # auth -----------------------------------------------------------------------------\n@@ -471,13 +471,38 @@ def override_config_from_env(config: Dict[str, Any]) -> None:\n :type mapping: dict\n \"\"\"\n parts = env_var.split(\"__\")\n- if len(parts) == 1:\n+ iter_parts = iter(parts)\n+ env_type = get_type_hints(PluginConfig).get(next(iter_parts, \"\"), str)\n+ child_env_type = (\n+ get_type_hints(env_type).get(next(iter_parts, \"\"), None)\n+ if isclass(env_type)\n+ else None\n+ )\n+ if len(parts) == 2 and child_env_type:\n+ # for nested config (pagination, ...)\n+ # try converting env_value type from type hints\n+ try:\n+ env_value = cast_scalar_value(env_value, child_env_type)\n+ except TypeError:\n+ logger.warning(\n+ f\"Could not convert {parts} value {env_value} to {child_env_type}\"\n+ )\n+ mapping.setdefault(parts[0], {})\n+ mapping[parts[0]][parts[1]] = env_value\n+ elif len(parts) == 1:\n+ # try converting env_value type from type hints\n+ try:\n+ env_value = cast_scalar_value(env_value, env_type)\n+ except TypeError:\n+ logger.warning(\n+ f\"Could not convert {parts[0]} value {env_value} to {env_type}\"\n+ )\n mapping[parts[0]] = env_value\n else:\n new_map = mapping.setdefault(parts[0], {})\n build_mapping_from_env(\"__\".join(parts[1:]), env_value, new_map)\n \n- mapping_from_env = {}\n+ mapping_from_env: Dict[str, Any] = {}\n for env_var in os.environ:\n if env_var.startswith(\"EODAG__\"):\n build_mapping_from_env(\n@@ -500,7 +525,6 @@ def override_config_from_mapping(\n :type mapping: dict\n \"\"\"\n for provider, new_conf in mapping.items():\n- new_conf: Dict[str, Any]\n old_conf: Optional[Dict[str, Any]] = config.get(provider)\n if old_conf is not None:\n old_conf.update(new_conf)\ndiff --git a/eodag/plugins/apis/base.py b/eodag/plugins/apis/base.py\nindex cd65bb26..ab7f1497 100644\n--- a/eodag/plugins/apis/base.py\n+++ b/eodag/plugins/apis/base.py\n@@ -21,6 +21,8 @@ import logging\n from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple\n \n if TYPE_CHECKING:\n+ from pydantic.fields import FieldInfo\n+\n from eodag.api.product import EOProduct\n from eodag.api.search_result import SearchResult\n from eodag.config import PluginConfig\n@@ -95,7 +97,7 @@ class Api(PluginTopic):\n \n def discover_queryables(\n self, product_type: Optional[str] = None\n- ) -> Optional[Dict[str, Tuple[Annotated, Any]]]:\n+ ) -> Optional[Dict[str, Tuple[Annotated[Any, FieldInfo], Any]]]:\n \"\"\"Fetch queryables list from provider using `discover_queryables` conf\"\"\"\n return None\n \ndiff --git a/eodag/plugins/apis/usgs.py b/eodag/plugins/apis/usgs.py\nindex 69443435..b306f2e3 100644\n--- a/eodag/plugins/apis/usgs.py\n+++ b/eodag/plugins/apis/usgs.py\n@@ -327,7 +327,9 @@ class UsgsApi(Download, Api):\n stream.raise_for_status()\n except RequestException as e:\n if e.response and hasattr(e.response, \"content\"):\n- error_message = f\"{e.response.content} - {e}\"\n+ error_message = (\n+ f\"{e.response.content.decode('utf-8')} - {e}\"\n+ )\n else:\n error_message = str(e)\n raise NotAvailableError(error_message)\n@@ -341,7 +343,7 @@ class UsgsApi(Download, Api):\n progress_callback(len(chunk))\n except requests.exceptions.Timeout as e:\n if e.response and hasattr(e.response, \"content\"):\n- error_message = f\"{e.response.content} - {e}\"\n+ error_message = f\"{e.response.content.decode('utf-8')} - {e}\"\n else:\n error_message = str(e)\n raise NotAvailableError(error_message)\ndiff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py\nindex 2d419fcf..0f5515c6 100644\n--- a/eodag/plugins/download/http.py\n+++ b/eodag/plugins/download/http.py\n@@ -104,7 +104,9 @@ class HTTPDownload(Download):\n super(HTTPDownload, self).__init__(provider, config)\n if not hasattr(self.config, \"base_uri\"):\n raise MisconfiguredError(\n- \"{} plugin require a base_uri configuration key\".format(self.__name__)\n+ \"{} plugin require a base_uri configuration key\".format(\n+ type(self).__name__\n+ )\n )\n \n def orderDownload(\n@@ -166,10 +168,14 @@ class HTTPDownload(Download):\n logger.debug(ordered_message)\n logger.info(\"%s was ordered\", product.properties[\"title\"])\n except RequestException as e:\n+ if e.response and hasattr(e.response, \"content\"):\n+ error_message = f\"{e.response.content.decode('utf-8')} - {e}\"\n+ else:\n+ error_message = str(e)\n logger.warning(\n \"%s could not be ordered, request returned %s\",\n product.properties[\"title\"],\n- f\"{e.response.content} - {e}\",\n+ error_message,\n )\n \n order_metadata_mapping = getattr(self.config, \"order_on_response\", {}).get(\n@@ -177,9 +183,8 @@ class HTTPDownload(Download):\n )\n if order_metadata_mapping:\n logger.debug(\"Parsing order response to update product metada-mapping\")\n- order_metadata_mapping_jsonpath = {}\n order_metadata_mapping_jsonpath = mtd_cfg_as_conversion_and_querypath(\n- order_metadata_mapping, order_metadata_mapping_jsonpath\n+ order_metadata_mapping,\n )\n properties_update = properties_from_json(\n response.json(),\ndiff --git a/eodag/plugins/search/base.py b/eodag/plugins/search/base.py\nindex 02420873..fed7ca11 100644\n--- a/eodag/plugins/search/base.py\n+++ b/eodag/plugins/search/base.py\n@@ -33,6 +33,8 @@ from eodag.utils import (\n )\n \n if TYPE_CHECKING:\n+ from pydantic.fields import FieldInfo\n+\n from eodag.api.product import EOProduct\n from eodag.config import PluginConfig\n from eodag.utils import Annotated\n@@ -90,7 +92,7 @@ class Search(PluginTopic):\n \n def discover_queryables(\n self, product_type: Optional[str] = None\n- ) -> Optional[Dict[str, Tuple[Annotated, Any]]]:\n+ ) -> Optional[Dict[str, Tuple[Annotated[Any, FieldInfo], Any]]]:\n \"\"\"Fetch queryables list from provider using `discover_queryables` conf\"\"\"\n return None\n \ndiff --git a/eodag/plugins/search/qssearch.py b/eodag/plugins/search/qssearch.py\nindex ea7a8cc4..f398b44b 100644\n--- a/eodag/plugins/search/qssearch.py\n+++ b/eodag/plugins/search/qssearch.py\n@@ -1270,7 +1270,7 @@ class StacSearch(PostJsonSearch):\n \n def discover_queryables(\n self, product_type: Optional[str] = None\n- ) -> Optional[Dict[str, Tuple[Annotated, Any]]]:\n+ ) -> Optional[Dict[str, Tuple[Annotated[Any, FieldInfo], Any]]]:\n \"\"\"Fetch queryables list from provider using `discover_queryables` conf\n \n :param product_type: (optional) product type\ndiff --git a/eodag/rest/types/stac_queryables.py b/eodag/rest/types/stac_queryables.py\nindex 6a4139fe..e395ea97 100644\n--- a/eodag/rest/types/stac_queryables.py\n+++ b/eodag/rest/types/stac_queryables.py\n@@ -17,13 +17,16 @@\n # limitations under the License.\n from __future__ import annotations\n \n-from typing import Any, Dict, List, Optional, Tuple, Union\n+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union\n \n from pydantic import BaseModel, Field\n \n from eodag.types import python_field_definition_to_json\n from eodag.utils import Annotated\n \n+if TYPE_CHECKING:\n+ from pydantic.fields import FieldInfo\n+\n \n class StacQueryableProperty(BaseModel):\n \"\"\"A class representing a queryable property.\n@@ -49,7 +52,7 @@ class StacQueryableProperty(BaseModel):\n \n @classmethod\n def from_python_field_definition(\n- cls, id: str, python_field_definition: Tuple[Annotated, Any]\n+ cls, id: str, python_field_definition: Tuple[Annotated[Any, FieldInfo], Any]\n ) -> StacQueryableProperty:\n \"\"\"Build Model from python_field_definition\"\"\"\n def_dict = python_field_definition_to_json(python_field_definition)\ndiff --git a/eodag/types/__init__.py b/eodag/types/__init__.py\nindex 02b5f98f..0e7b1b5a 100644\n--- a/eodag/types/__init__.py\n+++ b/eodag/types/__init__.py\n@@ -122,7 +122,7 @@ def json_field_definition_to_python(\n \n \n def python_field_definition_to_json(\n- python_field_definition: Tuple[Annotated, Any]\n+ python_field_definition: Tuple[Annotated[Any, FieldInfo], Any]\n ) -> Dict[str, Any]:\n \"\"\"Get json field definition from python `typing.Annotated`\n \n@@ -144,7 +144,8 @@ def python_field_definition_to_json(\n or len(python_field_definition) != 2\n ):\n raise ValidationError(\n- \"%s must be an instance of Tuple[Annotated, Any]\" % python_field_definition\n+ \"%s must be an instance of Tuple[Annotated[Any, FieldInfo], Any]\"\n+ % python_field_definition\n )\n \n python_field_annotated = python_field_definition[0]\n@@ -196,7 +197,7 @@ def python_field_definition_to_json(\n \n def model_fields_to_annotated_tuple(\n model_fields: Dict[str, FieldInfo]\n-) -> Dict[str, Tuple[Annotated, Any]]:\n+) -> Dict[str, Tuple[Annotated[Any, FieldInfo], Any]]:\n \"\"\"Convert BaseModel.model_fields from FieldInfo to Annotated tuple usable as create_model argument\n \n >>> from pydantic import create_model\ndiff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py\nindex 08827ee8..e5918e53 100644\n--- a/eodag/utils/__init__.py\n+++ b/eodag/utils/__init__.py\n@@ -373,29 +373,9 @@ def merge_mappings(mapping1: Dict[Any, Any], mapping2: Dict[Any, Any]) -> None:\n and current_value_type == list\n ):\n mapping1[m1_keys_lowercase.get(key, key)] = value\n- elif isinstance(value, str):\n- # Bool is a type with special meaning in Python, thus the special\n- # case\n- if current_value_type is bool:\n- if value.capitalize() not in (\"True\", \"False\"):\n- raise ValueError(\n- \"Only true or false strings (case insensitive) are \"\n- \"allowed for booleans\"\n- )\n- # Get the real Python value of the boolean. e.g: value='tRuE'\n- # => eval(value.capitalize())=True.\n- # str.capitalize() transforms the first character of the string\n- # to a capital letter\n- mapping1[m1_keys_lowercase.get(key, key)] = eval(\n- value.capitalize()\n- )\n- else:\n- mapping1[\n- m1_keys_lowercase.get(key, key)\n- ] = current_value_type(value)\n else:\n- mapping1[m1_keys_lowercase.get(key, key)] = current_value_type(\n- value\n+ mapping1[m1_keys_lowercase.get(key, key)] = cast_scalar_value(\n+ value, current_value_type\n )\n except (TypeError, ValueError):\n # Ignore any override value that does not have the same type\n@@ -1398,3 +1378,34 @@ def parse_header(header: str) -> Message:\n m = Message()\n m[\"content-type\"] = header\n return m\n+\n+\n+def cast_scalar_value(value: Any, new_type: Any) -> Any:\n+ \"\"\"Convert a scalar (not nested) value type to the given one\n+\n+ >>> cast_scalar_value('1', int)\n+ 1\n+ >>> cast_scalar_value(1, str)\n+ '1'\n+ >>> cast_scalar_value('false', bool)\n+ False\n+\n+ :param value: the scalar value to convert\n+ :param new_type: the wanted type\n+ :returns: scalar value converted to new_type\n+ \"\"\"\n+ if isinstance(value, str) and new_type is bool:\n+ # Bool is a type with special meaning in Python, thus the special\n+ # case\n+ if value.capitalize() not in (\"True\", \"False\"):\n+ raise ValueError(\n+ \"Only true or false strings (case insensitive) are \"\n+ \"allowed for booleans\"\n+ )\n+ # Get the real Python value of the boolean. e.g: value='tRuE'\n+ # => eval(value.capitalize())=True.\n+ # str.capitalize() transforms the first character of the string\n+ # to a capital letter\n+ return eval(value.capitalize())\n+\n+ return new_type(value)\n"},"problem_statement":{"kind":"string","value":"convert timeout type when loaded from environment variable\nFollowing #973, \r\n```py\r\nimport os\r\nfrom eodag import EODataAccessGateway\r\nos.environ[\"EODAG__HYDROWEB_NEXT__SEARCH__TIMEOUT\"] = \"10\"\r\n\r\ndag = EODataAccessGateway()\r\ndag.search_all(productType=\"HYDROWEB_RIVERS\")\r\n```\r\nraises\r\n```\r\nTraceback (most recent call last):\r\n File \"/home/msordi/git/git-hysope2/deployment/misc/stac/test_download_hydroweb0.py\", line 75, in <module>\r\n search_results = dag.search_all( \r\n File \"/home/msordi/.local/lib/python3.10/site-packages/eodag/api/core.py\", line 1219, in search_all\r\n self.fetch_product_types_list()\r\n File \"/home/msordi/.local/lib/python3.10/site-packages/eodag/api/core.py\", line 638, in fetch_product_types_list\r\n provider_ext_product_types_conf = self.discover_product_types(\r\n File \"/home/msordi/.local/lib/python3.10/site-packages/eodag/api/core.py\", line 699, in discover_product_types\r\n ] = search_plugin.discover_product_types()\r\n File \"/home/msordi/.local/lib/python3.10/site-packages/eodag/plugins/search/qssearch.py\", line 286, in discover_product_types\r\n response = QueryStringSearch._request(\r\n File \"/home/msordi/.local/lib/python3.10/site-packages/eodag/plugins/search/qssearch.py\", line 800, in _request\r\n response = requests.get(\r\n File \"/usr/lib/python3/dist-packages/requests/api.py\", line 76, in get\r\n return request('get', url, params=params, **kwargs)\r\n File \"/usr/lib/python3/dist-packages/requests/api.py\", line 61, in request\r\n return session.request(method=method, url=url, **kwargs)\r\n File \"/usr/lib/python3/dist-packages/requests/sessions.py\", line 544, in request\r\n resp = self.send(prep, **send_kwargs)\r\n File \"/usr/lib/python3/dist-packages/requests/sessions.py\", line 657, in send\r\n r = adapter.send(request, **kwargs)\r\n File \"/usr/lib/python3/dist-packages/requests/adapters.py\", line 435, in send\r\n timeout = TimeoutSauce(connect=timeout, read=timeout)\r\n File \"/usr/lib/python3/dist-packages/urllib3/util/timeout.py\", line 103, in __init__\r\n self._connect = self._validate_timeout(connect, \"connect\")\r\n File \"/usr/lib/python3/dist-packages/urllib3/util/timeout.py\", line 158, in _validate_timeout\r\n raise ValueError(\r\nValueError: Timeout value connect was 10, but it must be an int, float or None.\r\n```\r\n\r\n- [x] `timeout` loaded from environment variable needs to be converted to `float`"},"repo":{"kind":"string","value":"CS-SI/eodag"},"test_patch":{"kind":"string","value":"diff --git a/tests/test_config.py b/tests/test_config.py\nindex 65b302d5..e819986e 100644\n--- a/tests/test_config.py\n+++ b/tests/test_config.py\n@@ -437,6 +437,11 @@ class TestConfigFunctions(unittest.TestCase):\n \"EODAG__AWS_EOS__AUTH__CREDENTIALS__AWS_SECRET_ACCESS_KEY\"\n ] = \"secret-access-key\"\n os.environ[\"EODAG__PEPS__DOWNLOAD__OUTPUTS_PREFIX\"] = \"/data\"\n+ # check a parameter that has not been set yet\n+ self.assertFalse(hasattr(default_config[\"peps\"].search, \"timeout\"))\n+ self.assertNotIn(\"start_page\", default_config[\"peps\"].search.pagination)\n+ os.environ[\"EODAG__PEPS__SEARCH__TIMEOUT\"] = \"3.1\"\n+ os.environ[\"EODAG__PEPS__SEARCH__PAGINATION__START_PAGE\"] = \"2\"\n \n config.override_config_from_env(default_config)\n usgs_conf = default_config[\"usgs\"]\n@@ -457,6 +462,8 @@ class TestConfigFunctions(unittest.TestCase):\n \n peps_conf = default_config[\"peps\"]\n self.assertEqual(peps_conf.download.outputs_prefix, \"/data\")\n+ self.assertEqual(peps_conf.search.timeout, 3.1)\n+ self.assertEqual(peps_conf.search.pagination[\"start_page\"], 2)\n \n @mock.patch(\"requests.get\", autospec=True)\n def test_get_ext_product_types_conf(self, mock_get):\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_issue_reference\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 0,\n \"test_score\": 1\n },\n \"num_modified_files\": 10\n}"},"version":{"kind":"string","value":"2.11"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov pytest-xdist pytest-mock\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements/base.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"annotated-types==0.7.0\nanyio==4.9.0\nattrs==25.3.0\nbackports.tarfile==1.2.0\nboto3==1.37.23\nbotocore==1.37.23\ncachetools==5.5.2\ncdsapi==0.7.5\ncertifi==2025.1.31\ncffi==1.17.1\ncfgv==3.4.0\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncoverage==7.8.0\ncryptography==44.0.2\ndatapi==0.3.0\ndecorator==5.2.1\ndistlib==0.3.9\ndnspython==2.7.0\ndocutils==0.21.2\necmwf-api-client==1.6.5\nemail_validator==2.2.0\n-e git+https://github.com/CS-SI/eodag.git@fe2a51497fa806f856e9bbb4e3911e7c78dad17e#egg=eodag\nexceptiongroup==1.2.2\nexecnet==2.1.1\nFaker==37.1.0\nfastapi==0.115.12\nfastapi-cli==0.0.7\nfilelock==3.18.0\nflake8==7.2.0\ngeojson==3.2.0\nh11==0.14.0\nhttpcore==1.0.7\nhttptools==0.6.4\nhttpx==0.28.1\nid==1.5.0\nidentify==2.6.9\nidna==3.10\nimportlib_metadata==8.6.1\niniconfig==2.1.0\nitsdangerous==2.2.0\njaraco.classes==3.4.0\njaraco.context==6.0.1\njaraco.functools==4.1.0\njeepney==0.9.0\nJinja2==3.1.6\njmespath==1.0.1\njsonpath-ng==1.5.3\nkeyring==25.6.0\nlxml==5.3.1\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==10.6.0\nmoto==5.1.2\nmultiurl==0.3.5\nnh3==0.2.21\nnodeenv==1.9.1\nnumpy==2.0.2\norjson==3.10.16\nOWSLib==0.31.0\npackaging==24.2\nplatformdirs==4.3.7\npluggy==1.5.0\nply==3.11\npre_commit==4.2.0\npy==1.11.0\npycodestyle==2.13.0\npycparser==2.22\npycryptodome==3.22.0\npydantic==2.11.1\npydantic-extra-types==2.10.3\npydantic-settings==2.8.1\npydantic_core==2.33.0\npyflakes==3.3.2\nPygments==2.19.1\npyproj==3.6.1\npyproject-api==1.9.0\npyshp==2.3.1\npystac==1.10.1\npytest==8.3.5\npytest-cov==6.0.0\npytest-html==3.1.1\npytest-instafail==0.5.0\npytest-metadata==3.1.1\npytest-mock==3.14.0\npytest-socket==0.7.0\npytest-xdist==3.6.1\npython-dateutil==2.9.0.post0\npython-dotenv==1.1.0\npython-multipart==0.0.20\npytz==2025.2\nPyYAML==6.0.2\nreadme_renderer==44.0\nrequests==2.32.3\nrequests-ftp==0.3.1\nrequests-futures==1.0.2\nrequests-toolbelt==1.0.0\nresponses==0.23.3\nrfc3986==2.0.0\nrich==14.0.0\nrich-toolkit==0.14.1\ns3transfer==0.11.4\nSecretStorage==3.3.3\nshapely==2.0.7\nshellingham==1.5.4\nsix==1.17.0\nsniffio==1.3.1\nstarlette==0.46.1\nstream-zip==0.0.83\ntomli==2.2.1\ntox==4.25.0\ntqdm==4.67.1\ntwine==6.1.0\ntyper==0.15.2\ntypes-PyYAML==6.0.12.20250326\ntyping-inspection==0.4.0\ntyping_extensions==4.13.0\ntzdata==2025.2\nujson==5.10.0\nurllib3==1.26.20\nusgs==0.3.5\nuvicorn==0.34.0\nuvloop==0.21.0\nvirtualenv==20.29.3\nwatchfiles==1.0.4\nwebsockets==15.0.1\nWerkzeug==3.1.3\nWhoosh==2.7.4\nxmltodict==0.14.2\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: eodag\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - annotated-types==0.7.0\n - anyio==4.9.0\n - attrs==25.3.0\n - backports-tarfile==1.2.0\n - boto3==1.37.23\n - botocore==1.37.23\n - cachetools==5.5.2\n - cdsapi==0.7.5\n - certifi==2025.1.31\n - cffi==1.17.1\n - cfgv==3.4.0\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - coverage==7.8.0\n - cryptography==44.0.2\n - datapi==0.3.0\n - decorator==5.2.1\n - distlib==0.3.9\n - dnspython==2.7.0\n - docutils==0.21.2\n - ecmwf-api-client==1.6.5\n - email-validator==2.2.0\n - eodag==2.11.1.dev26+gfe2a5149\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - faker==37.1.0\n - fastapi==0.115.12\n - fastapi-cli==0.0.7\n - filelock==3.18.0\n - flake8==7.2.0\n - geojson==3.2.0\n - h11==0.14.0\n - httpcore==1.0.7\n - httptools==0.6.4\n - httpx==0.28.1\n - id==1.5.0\n - identify==2.6.9\n - idna==3.10\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - itsdangerous==2.2.0\n - jaraco-classes==3.4.0\n - jaraco-context==6.0.1\n - jaraco-functools==4.1.0\n - jeepney==0.9.0\n - jinja2==3.1.6\n - jmespath==1.0.1\n - jsonpath-ng==1.5.3\n - keyring==25.6.0\n - lxml==5.3.1\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mccabe==0.7.0\n - mdurl==0.1.2\n - more-itertools==10.6.0\n - moto==5.1.2\n - multiurl==0.3.5\n - nh3==0.2.21\n - nodeenv==1.9.1\n - numpy==2.0.2\n - orjson==3.10.16\n - owslib==0.31.0\n - packaging==24.2\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - ply==3.11\n - pre-commit==4.2.0\n - py==1.11.0\n - pycodestyle==2.13.0\n - pycparser==2.22\n - pycryptodome==3.22.0\n - pydantic==2.11.1\n - pydantic-core==2.33.0\n - pydantic-extra-types==2.10.3\n - pydantic-settings==2.8.1\n - pyflakes==3.3.2\n - pygments==2.19.1\n - pyproj==3.6.1\n - pyproject-api==1.9.0\n - pyshp==2.3.1\n - pystac==1.10.1\n - pytest==8.3.5\n - pytest-cov==6.0.0\n - pytest-html==3.1.1\n - pytest-instafail==0.5.0\n - pytest-metadata==3.1.1\n - pytest-mock==3.14.0\n - pytest-socket==0.7.0\n - pytest-xdist==3.6.1\n - python-dateutil==2.9.0.post0\n - python-dotenv==1.1.0\n - python-multipart==0.0.20\n - pytz==2025.2\n - pyyaml==6.0.2\n - readme-renderer==44.0\n - requests==2.32.3\n - requests-ftp==0.3.1\n - requests-futures==1.0.2\n - requests-toolbelt==1.0.0\n - responses==0.23.3\n - rfc3986==2.0.0\n - rich==14.0.0\n - rich-toolkit==0.14.1\n - s3transfer==0.11.4\n - secretstorage==3.3.3\n - shapely==2.0.7\n - shellingham==1.5.4\n - six==1.17.0\n - sniffio==1.3.1\n - starlette==0.46.1\n - stream-zip==0.0.83\n - tomli==2.2.1\n - tox==4.25.0\n - tqdm==4.67.1\n - twine==6.1.0\n - typer==0.15.2\n - types-pyyaml==6.0.12.20250326\n - typing-extensions==4.13.0\n - typing-inspection==0.4.0\n - tzdata==2025.2\n - ujson==5.10.0\n - urllib3==1.26.20\n - usgs==0.3.5\n - uvicorn==0.34.0\n - uvloop==0.21.0\n - virtualenv==20.29.3\n - watchfiles==1.0.4\n - websockets==15.0.1\n - werkzeug==3.1.3\n - whoosh==2.7.4\n - xmltodict==0.14.2\n - zipp==3.21.0\nprefix: /opt/conda/envs/eodag\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/test_config.py::TestConfigFunctions::test_override_config_from_env"],"string":"[\n \"tests/test_config.py::TestConfigFunctions::test_override_config_from_env\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/test_config.py::TestProviderConfig::test_provider_config_merge","tests/test_config.py::TestProviderConfig::test_provider_config_name","tests/test_config.py::TestProviderConfig::test_provider_config_update","tests/test_config.py::TestProviderConfig::test_provider_config_valid","tests/test_config.py::TestPluginConfig::test_plugin_config_update","tests/test_config.py::TestPluginConfig::test_plugin_config_valid","tests/test_config.py::TestConfigFunctions::test_get_ext_product_types_conf","tests/test_config.py::TestConfigFunctions::test_load_default_config","tests/test_config.py::TestConfigFunctions::test_override_config_from_file","tests/test_config.py::TestConfigFunctions::test_override_config_from_str","tests/test_config.py::TestStacProviderConfig::test_custom_stac_provider_conf","tests/test_config.py::TestStacProviderConfig::test_existing_stac_provider_conf"],"string":"[\n \"tests/test_config.py::TestProviderConfig::test_provider_config_merge\",\n \"tests/test_config.py::TestProviderConfig::test_provider_config_name\",\n \"tests/test_config.py::TestProviderConfig::test_provider_config_update\",\n \"tests/test_config.py::TestProviderConfig::test_provider_config_valid\",\n \"tests/test_config.py::TestPluginConfig::test_plugin_config_update\",\n \"tests/test_config.py::TestPluginConfig::test_plugin_config_valid\",\n \"tests/test_config.py::TestConfigFunctions::test_get_ext_product_types_conf\",\n \"tests/test_config.py::TestConfigFunctions::test_load_default_config\",\n \"tests/test_config.py::TestConfigFunctions::test_override_config_from_file\",\n \"tests/test_config.py::TestConfigFunctions::test_override_config_from_str\",\n \"tests/test_config.py::TestStacProviderConfig::test_custom_stac_provider_conf\",\n \"tests/test_config.py::TestStacProviderConfig::test_existing_stac_provider_conf\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":492,"cells":{"instance_id":{"kind":"string","value":"CSCfi__beacon-python-26"},"base_commit":{"kind":"string","value":"49539e81197255007a6978c102b4a7eb1cf16b9f"},"created_at":{"kind":"string","value":"2018-10-29 13:14:17"},"environment_setup_commit":{"kind":"string","value":"8e6c74787741d3025897cc6f744a13449a78041e"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/beacon_api/__init__.py b/beacon_api/__init__.py\nindex f20f8a5..42894f9 100644\n--- a/beacon_api/__init__.py\n+++ b/beacon_api/__init__.py\n@@ -28,4 +28,4 @@ __org_address__ = 'empty'\n __org_welcomeUrl__ = 'https://www.csc.fi/'\n __org_contactUrl__ = 'empty'\n __org_logoUrl__ = 'https://www.csc.fi/documents/10180/161914/CSC_2012_LOGO_RGB_72dpi.jpg'\n-__org_info__ = [{'author': __author__}]\n+__org_info__ = {'author': __author__}\ndiff --git a/beacon_api/api/info.py b/beacon_api/api/info.py\nindex 341c89f..631cab1 100644\n--- a/beacon_api/api/info.py\n+++ b/beacon_api/api/info.py\n@@ -71,7 +71,7 @@ async def beacon_info(host, pool):\n 'updateDateTime': __updatetime__,\n 'datasets': beacon_dataset,\n 'sampleAlleleRequests': sample_allele_request,\n- 'info': [{\"key\": \"value\"}]\n+ 'info': {}\n }\n \n return beacon_info\ndiff --git a/beacon_api/schemas/info.json b/beacon_api/schemas/info.json\nindex b973857..cef1abc 100644\n--- a/beacon_api/schemas/info.json\n+++ b/beacon_api/schemas/info.json\n@@ -58,10 +58,7 @@\n \"pattern\": \"^(.*)$\"\n },\n \"info\": {\n- \"type\": \"array\",\n- \"items\": {\n- \"type\": \"object\"\n- }\n+ \"type\": \"object\"\n }\n }\n },\n@@ -146,10 +143,7 @@\n \"pattern\": \"^(.*)$\"\n },\n \"info\": {\n- \"type\": \"array\",\n- \"items\": {\n- \"type\": \"object\"\n- }\n+ \"type\": \"object\"\n },\n \"dataUseConditions\": {\n \"type\": \"object\",\n@@ -831,10 +825,7 @@\n }\n },\n \"info\": {\n- \"type\": \"array\",\n- \"items\": {\n- \"type\": \"object\"\n- }\n+ \"type\": \"object\"\n }\n }\n }\ndiff --git a/beacon_api/schemas/response.json b/beacon_api/schemas/response.json\nindex 060d078..ee2ad67 100644\n--- a/beacon_api/schemas/response.json\n+++ b/beacon_api/schemas/response.json\n@@ -110,6 +110,14 @@\n \"exists\": {\n \"type\": \"boolean\"\n },\n+ \"referenceBases\": {\n+ \"type\": \"string\",\n+ \"pattern\": \"^([ACGT]+)$\"\n+ },\n+ \"alternateBases\": {\n+ \"type\": \"string\",\n+ \"pattern\": \"^([ACGT]+)$\"\n+ },\n \"error\": {\n \"type\": \"object\",\n \"required\": [\n@@ -152,11 +160,7 @@\n \"pattern\": \"^(.*)$\"\n },\n \"info\": {\n- \"type\": \"array\",\n- \"default\": [],\n- \"items\": {\n- \"type\": \"object\"\n- }\n+ \"type\": \"object\"\n }\n }\n }\ndiff --git a/beacon_api/utils/data_query.py b/beacon_api/utils/data_query.py\nindex 35107ee..84312f8 100644\n--- a/beacon_api/utils/data_query.py\n+++ b/beacon_api/utils/data_query.py\n@@ -19,8 +19,10 @@ def sql_tuple(array):\n def transform_record(record):\n \"\"\"Format the record we got from the database to adhere to the response schema.\"\"\"\n response = dict(record)\n+ response[\"referenceBases\"] = response.pop(\"referenceBases\")\n+ response[\"alternateBases\"] = response.pop(\"alternateBases\")\n response[\"frequency\"] = round(response.pop(\"frequency\"), 9)\n- response[\"info\"] = [{\"accessType\": response.pop(\"accessType\")}]\n+ response[\"info\"] = {\"accessType\": response.pop(\"accessType\")}\n # Error is not required and should not be shown\n # otherwise schema validation will fail\n # response[\"error\"] = None\n@@ -31,11 +33,13 @@ def transform_record(record):\n def transform_misses(record):\n \"\"\"Format the missed datasets record we got from the database to adhere to the response schema.\"\"\"\n response = dict(record)\n+ response[\"referenceBases\"] = ''\n+ response[\"alternateBases\"] = ''\n response[\"frequency\"] = 0\n response[\"variantCount\"] = 0\n response[\"callCount\"] = 0\n response[\"sampleCount\"] = 0\n- response[\"info\"] = [{\"accessType\": response.pop(\"accessType\")}]\n+ response[\"info\"] = {\"accessType\": response.pop(\"accessType\")}\n # Error is not required and should not be shown\n # otherwise schema validation will fail\n # response[\"error\"] = None\n@@ -46,7 +50,7 @@ def transform_misses(record):\n def transform_metadata(record):\n \"\"\"Format the metadata record we got from the database to adhere to the response schema.\"\"\"\n response = dict(record)\n- response[\"info\"] = [{\"accessType\": response.pop(\"accessType\")}]\n+ response[\"info\"] = {\"accessType\": response.pop(\"accessType\")}\n # TO DO test with null date\n if 'createDateTime' in response and isinstance(response[\"createDateTime\"], datetime):\n response[\"createDateTime\"] = response.pop(\"createDateTime\").strftime('%Y-%m-%dT%H:%M:%SZ')\n@@ -128,7 +132,7 @@ async def fetch_filtered_dataset(db_pool, position, chromosome, reference, alter\n \n # UBER QUERY - TBD if it is what we need\n query = f\"\"\"SELECT {\"DISTINCT ON (a.datasetId)\" if misses else ''} a.datasetId as \"datasetId\", b.accessType as \"accessType\",\n- a.chromosome as \"referenceName\",\n+ a.chromosome as \"referenceName\", a.reference as \"referenceBases\", a.alternate as \"alternateBases\",\n b.externalUrl as \"externalUrl\", b.description as \"note\",\n a.variantCount as \"variantCount\",\n a.callCount as \"callCount\", b.sampleCount as \"sampleCount\",\n"},"problem_statement":{"kind":"string","value":"Differentiate wildcard results\n#### Proposed solution\r\nCurrently in a wildcard search it is difficult to differentiate between wildcard results, as illustrated.\r\n\r\n\r\nThe idea is to add values in the `info` key to differentiate between such results.\r\nResults of search are:\r\n```\r\nCT > AT (allele count: 1)\r\nCT > TC (allele count: 1)\r\nCT > TT (allele count: 118)\r\n```\r\n`info` key could contain something like:\r\n```\r\n \"info\":\r\n {\r\n \"referenceBases\": \"CT\",\r\n \"alternateBases\": \"AT\"\r\n }\r\n```\r\n\r\n#### DoD (Definition of Done)\r\nAdded values to `info` key to be used in UI.\r\nUpdated JSON schema.\r\n\r\n#### Testing\r\nUnit test updated.\r\n"},"repo":{"kind":"string","value":"CSCfi/beacon-python"},"test_patch":{"kind":"string","value":"diff --git a/tests/test_data_query.py b/tests/test_data_query.py\nindex f87248c..a12ad10 100644\n--- a/tests/test_data_query.py\n+++ b/tests/test_data_query.py\n@@ -13,14 +13,17 @@ class Record:\n Mimic asyncpg Record object.\n \"\"\"\n \n- def __init__(self, accessType, frequency=None, createDateTime=None, updateDateTime=None):\n+ def __init__(self, accessType, frequency=None, createDateTime=None, updateDateTime=None, referenceBases=None, alternateBases=None):\n \"\"\"Initialise things.\"\"\"\n self.data = {\"accessType\": accessType}\n+ if referenceBases:\n+ self.data.update({\"referenceBases\": referenceBases})\n+ if alternateBases:\n+ self.data.update({\"alternateBases\": alternateBases})\n if frequency:\n self.data.update({\"frequency\": frequency})\n if createDateTime:\n self.data.update({\"createDateTime\": createDateTime})\n-\n if updateDateTime:\n self.data.update({\"updateDateTime\": updateDateTime})\n \n@@ -77,15 +80,17 @@ class TestDataQueryFunctions(asynctest.TestCase):\n \n def test_transform_record(self):\n \"\"\"Test transform DB record.\"\"\"\n- response = {\"frequency\": 0.009112876, \"info\": [{\"accessType\": \"PUBLIC\"}]}\n- record = Record(\"PUBLIC\", 0.009112875989879)\n+ response = {\"frequency\": 0.009112876, \"info\": {\"accessType\": \"PUBLIC\"},\n+ \"referenceBases\": \"CT\", \"alternateBases\": \"AT\"}\n+ record = Record(\"PUBLIC\", 0.009112875989879, referenceBases=\"CT\", alternateBases=\"AT\")\n result = transform_record(record)\n self.assertEqual(result, response)\n \n def test_transform_misses(self):\n \"\"\"Test transform misses record.\"\"\"\n- response = {\"frequency\": 0, \"callCount\": 0, \"sampleCount\": 0, \"variantCount\": 0,\n- \"info\": [{\"accessType\": \"PUBLIC\"}]}\n+ response = {\"referenceBases\": '', \"alternateBases\": '',\n+ \"frequency\": 0, \"callCount\": 0, \"sampleCount\": 0, \"variantCount\": 0,\n+ \"info\": {\"accessType\": \"PUBLIC\"}}\n record = Record(\"PUBLIC\")\n result = transform_misses(record)\n print(result)\n@@ -94,9 +99,9 @@ class TestDataQueryFunctions(asynctest.TestCase):\n def test_transform_metadata(self):\n \"\"\"Test transform medata record.\"\"\"\n response = {\"createDateTime\": \"2018-10-20T20:33:40Z\", \"updateDateTime\": \"2018-10-20T20:33:40Z\",\n- \"info\": [{\"accessType\": \"PUBLIC\"}]}\n- record = Record(\"PUBLIC\", None, datetime.strptime(\"2018-10-20 20:33:40+00\", '%Y-%m-%d %H:%M:%S+00'),\n- datetime.strptime(\"2018-10-20 20:33:40+00\", '%Y-%m-%d %H:%M:%S+00'))\n+ \"info\": {\"accessType\": \"PUBLIC\"}}\n+ record = Record(\"PUBLIC\", createDateTime=datetime.strptime(\"2018-10-20 20:33:40+00\", '%Y-%m-%d %H:%M:%S+00'),\n+ updateDateTime=datetime.strptime(\"2018-10-20 20:33:40+00\", '%Y-%m-%d %H:%M:%S+00'))\n result = transform_metadata(record)\n print(result)\n self.assertEqual(result, response)\ndiff --git a/tests/test_response.py b/tests/test_response.py\nindex d3efd52..1e18e38 100644\n--- a/tests/test_response.py\n+++ b/tests/test_response.py\n@@ -20,7 +20,7 @@ mock_dataset_metadata = {\"id\": \"id1\",\n \"callCount\": 0,\n \"sampleCount\": 2534,\n \"version\": \"v0.4\",\n- \"info\": [{\"accessType\": \"PUBLIC\"}],\n+ \"info\": {\"accessType\": \"PUBLIC\"},\n \"createDateTime\": \"2013-05-02T12:00:00Z\",\n \"updateDateTime\": \"2013-05-02T12:00:00Z\"}\n \n@@ -34,7 +34,7 @@ mock_data = [{\"datasetId\": \"id1\",\n \"sampleCount\": 2534,\n \"exists\": True,\n \"frequency\": 0.001183899,\n- \"info\": [{\"accessType\": \"PUBLIC\"}]},\n+ \"info\": {\"accessType\": \"PUBLIC\"}},\n {\"datasetId\": \"id1\",\n \"referenceName\": \"MT\",\n \"externalUrl\": \"url\",\n@@ -44,7 +44,7 @@ mock_data = [{\"datasetId\": \"id1\",\n \"sampleCount\": 0,\n \"exists\": False,\n \"frequency\": 0,\n- \"info\": [{\"accessType\": \"REGISTERED\"}]}]\n+ \"info\": {\"accessType\": \"REGISTERED\"}}]\n \n \n class TestBasicFunctions(asynctest.TestCase):\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"head_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_media\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 0,\n \"issue_text_score\": 1,\n \"test_score\": 2\n },\n \"num_modified_files\": 5\n}"},"version":{"kind":"string","value":"1.0"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[test]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"coveralls\",\n \"testfixtures\",\n \"flake8\",\n \"flake8-docstrings\",\n \"asynctest\",\n \"aioresponses\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.6\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"aiohttp==3.8.6\naioresponses==0.7.6\naiosignal==1.2.0\nasync-timeout==4.0.2\nasyncpg==0.26.0\nasynctest==0.13.0\nattrs==22.2.0\n-e git+https://github.com/CSCfi/beacon-python.git@49539e81197255007a6978c102b4a7eb1cf16b9f#egg=beacon_api\ncertifi==2021.5.30\ncffi==1.15.1\ncharset-normalizer==2.0.12\nclick==8.0.4\ncoloredlogs==15.0.1\ncoverage==6.2\ncoveralls==3.3.1\ncryptography==40.0.2\nCython==3.0.12\ncyvcf2==0.30.18\ndistlib==0.3.9\ndocopt==0.6.2\nfilelock==3.4.1\nflake8==5.0.4\nflake8-docstrings==1.6.0\nfrozenlist==1.2.0\nhumanfriendly==10.0\nidna==3.10\nidna-ssl==1.1.0\nimportlib-metadata==4.2.0\nimportlib-resources==5.4.0\niniconfig==1.1.1\njsonschema==3.0.0a3\nmccabe==0.7.0\nmultidict==5.2.0\nnumpy==1.19.5\npackaging==21.3\nplatformdirs==2.4.0\npluggy==1.0.0\npy==1.11.0\npycodestyle==2.9.1\npycparser==2.21\npydocstyle==6.3.0\npyflakes==2.5.0\nPyJWT==2.4.0\npyparsing==3.1.4\npyrsistent==0.18.0\npytest==7.0.1\npytest-cov==4.0.0\nrequests==2.27.1\nsix==1.17.0\nsnowballstemmer==2.2.0\ntestfixtures==7.2.2\ntoml==0.10.2\ntomli==1.2.3\ntox==3.28.0\ntyping_extensions==4.1.1\nurllib3==1.26.20\nvirtualenv==20.16.2\nyarl==1.7.2\nzipp==3.6.0\n"},"environment":{"kind":"string","value":"name: beacon-python\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - certifi=2021.5.30=py36h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.3=he6710b0_2\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=1.1.1w=h7f8727e_0\n - pip=21.2.2=py36h06a4308_0\n - python=3.6.13=h12debd9_1\n - readline=8.2=h5eee18b_0\n - setuptools=58.0.4=py36h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.37.1=pyhd3eb1b0_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - aiohttp==3.8.6\n - aioresponses==0.7.6\n - aiosignal==1.2.0\n - async-timeout==4.0.2\n - asyncpg==0.26.0\n - asynctest==0.13.0\n - attrs==22.2.0\n - cffi==1.15.1\n - charset-normalizer==2.0.12\n - click==8.0.4\n - coloredlogs==15.0.1\n - coverage==6.2\n - coveralls==3.3.1\n - cryptography==40.0.2\n - cython==3.0.12\n - cyvcf2==0.30.18\n - distlib==0.3.9\n - docopt==0.6.2\n - filelock==3.4.1\n - flake8==5.0.4\n - flake8-docstrings==1.6.0\n - frozenlist==1.2.0\n - humanfriendly==10.0\n - idna==3.10\n - idna-ssl==1.1.0\n - importlib-metadata==4.2.0\n - importlib-resources==5.4.0\n - iniconfig==1.1.1\n - jsonschema==3.0.0a3\n - mccabe==0.7.0\n - multidict==5.2.0\n - numpy==1.19.5\n - packaging==21.3\n - platformdirs==2.4.0\n - pluggy==1.0.0\n - py==1.11.0\n - pycodestyle==2.9.1\n - pycparser==2.21\n - pydocstyle==6.3.0\n - pyflakes==2.5.0\n - pyjwt==2.4.0\n - pyparsing==3.1.4\n - pyrsistent==0.18.0\n - pytest==7.0.1\n - pytest-cov==4.0.0\n - requests==2.27.1\n - six==1.17.0\n - snowballstemmer==2.2.0\n - testfixtures==7.2.2\n - toml==0.10.2\n - tomli==1.2.3\n - tox==3.28.0\n - typing-extensions==4.1.1\n - urllib3==1.26.20\n - virtualenv==20.16.2\n - yarl==1.7.2\n - zipp==3.6.0\nprefix: /opt/conda/envs/beacon-python\n"},"FAIL_TO_PASS":{"kind":"list like","value":["Test"],"string":"[\n \"Test\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":493,"cells":{"instance_id":{"kind":"string","value":"CSCfi__beacon-python-54"},"base_commit":{"kind":"string","value":"0f810a3789be6bc54614ddf17085655c106e486b"},"created_at":{"kind":"string","value":"2018-12-19 13:34:39"},"environment_setup_commit":{"kind":"string","value":"8e6c74787741d3025897cc6f744a13449a78041e"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/beacon_api/conf/config.py b/beacon_api/conf/config.py\nindex 832143e..b3aba49 100644\n--- a/beacon_api/conf/config.py\n+++ b/beacon_api/conf/config.py\n@@ -8,19 +8,6 @@ At this point we also initialize a connection pool that the API is going to use\n import os\n import asyncpg\n \n-URL = os.environ.get('DATABASE_URL', 'postgresql://localhost:5432').split('/')[2]\n-POSTGRES = {\n- 'user': os.environ.get('DATABASE_USER', 'beacon'),\n- 'password': os.environ.get('DATABASE_PASSWORD', 'beacon'),\n- 'database': os.environ.get('DATABASE_NAME', 'beacondb'),\n- 'host': URL,\n-}\n-\n-DB_URL = 'postgresql://{user}:{pw}@{url}/{db}'.format(user=POSTGRES['user'],\n- pw=POSTGRES['password'],\n- url=POSTGRES['host'],\n- db=POSTGRES['database'])\n-\n DB_SCHEMA = os.environ.get('DATABASE_SCHEMA', '')\n DB_SCHEMA += '.' if DB_SCHEMA else ''\n \n@@ -30,7 +17,11 @@ async def init_db_pool():\n \n As we will have frequent requests to the database it is recommended to create a connection pool.\n \"\"\"\n- return await asyncpg.create_pool(dsn=DB_URL,\n+ return await asyncpg.create_pool(host=os.environ.get('DATABASE_URL', 'localhost'),\n+ port=os.environ.get('DATABASE_PORT', '5432'),\n+ user=os.environ.get('DATABASE_USER', 'beacon'),\n+ password=os.environ.get('DATABASE_PASSWORD', 'beacon'),\n+ database=os.environ.get('DATABASE_NAME', 'beacondb'),\n # initializing with 0 connections allows the web server to\n # start and also continue to live\n min_size=0,\ndiff --git a/beacon_api/utils/db_load.py b/beacon_api/utils/db_load.py\nindex 3a9f049..f837616 100644\n--- a/beacon_api/utils/db_load.py\n+++ b/beacon_api/utils/db_load.py\n@@ -47,20 +47,16 @@ from cyvcf2 import VCF\n \r\n from datetime import datetime\r\n \r\n-from ..conf.config import DB_URL\r\n from .logging import LOG\r\n \r\n \r\n class BeaconDB:\r\n \"\"\"Database connection and operations.\"\"\"\r\n \r\n- def __init__(self, db_url):\r\n+ def __init__(self):\r\n \"\"\"Start database routines.\"\"\"\r\n LOG.info('Start database routines')\r\n self._conn = None\r\n- LOG.info('Fetch database URL from config')\r\n- self._db_url = db_url\r\n- LOG.info('Database URL has been set -> Connections can now be made')\r\n \r\n def _transform_vt(self, vt, variant):\r\n \"\"\"Transform variant types.\"\"\"\r\n@@ -131,7 +127,11 @@ class BeaconDB:\n \"\"\"Connect to the database.\"\"\"\r\n LOG.info('Establish a connection to database')\r\n try:\r\n- self._conn = await asyncpg.connect(self._db_url)\r\n+ self._conn = await asyncpg.connect(host=os.environ.get('DATABASE_URL', 'localhost'),\r\n+ port=os.environ.get('DATABASE_PORT', '5432'),\r\n+ user=os.environ.get('DATABASE_USER', 'beacon'),\r\n+ password=os.environ.get('DATABASE_PASSWORD', 'beacon'),\r\n+ database=os.environ.get('DATABASE_NAME', 'beacondb'))\r\n LOG.info('Database connection has been established')\r\n except Exception as e:\r\n LOG.error(f'AN ERROR OCCURRED WHILE ATTEMPTING TO CONNECT TO DATABASE -> {e}')\r\n@@ -266,7 +266,7 @@ async def init_beacon_db(arguments=None):\n args = parse_arguments(arguments)\r\n \r\n # Initialise the database connection\r\n- db = BeaconDB(DB_URL)\r\n+ db = BeaconDB()\r\n \r\n # Connect to the database\r\n await db.connection()\r\ndiff --git a/deploy/docker-compose.yml b/deploy/docker-compose.yml\nindex f766395..3e3780c 100644\n--- a/deploy/docker-compose.yml\n+++ b/deploy/docker-compose.yml\n@@ -18,7 +18,7 @@ services:\n depends_on:\n - postgres\n environment:\n- DATABASE_URL: postgresql://postgres:5432\n+ DATABASE_URL: postgres\n links:\n - postgres:postgres\n ports:\ndiff --git a/docs/instructions.rst b/docs/instructions.rst\nindex c8895b8..b95d387 100644\n--- a/docs/instructions.rst\n+++ b/docs/instructions.rst\n@@ -17,7 +17,9 @@ the table below.\n +---------------------+-------------------------------+--------------------------------------------------+\n | ENV | Default | Description |\n +---------------------+-------------------------------+--------------------------------------------------+\n-| `DATABASE_URL` | `postgresql://localhost:5432` | The URL for the PostgreSQL server. |\n+| `DATABASE_URL` | `localhost` | The URL for the PostgreSQL server. |\n++---------------------+-------------------------------+--------------------------------------------------+\n+| `DATABASE_PORT` | `5432` | The port for the PostgreSQL server. |\n +---------------------+-------------------------------+--------------------------------------------------+\n | `DATABASE_NAME` | `beacondb` | Name of the database. |\n +---------------------+-------------------------------+--------------------------------------------------+\n@@ -42,7 +44,8 @@ Setting the necessary environment variables can be done e.g. via the command li\n \n .. code-block:: console\n \n- $ export DATABASE_URL=postgresql://localhost:5432\n+ $ export DATABASE_URL=localhost\n+ $ export DATABASE_PORT=5434\n $ export DATABASE_NAME=beacondb\n $ export DATABASE_USER=beacon\n $ export DATABASE_PASSWORD=beacon\n"},"problem_statement":{"kind":"string","value":"Special characters in database password\n#### Describe the bug\r\nIf your db password contains certain special characters , the call to `asyncpg.create_pool` will fail, as some characters are interpreted as a url delimiters.\r\n\r\n#### To Reproduce\r\nSteps to reproduce the behaviour:\r\n1. Have a password containing special characters.\r\n2. Run the beacon.\r\n3. Make a call to the beacon.\r\n4. Get `.../.local/lib/python3.6/site-packages/asyncpg/connect_utils.py\", line 187, in _parse_hostlist\r\n hostlist_ports.append(int(hostspec_port))`\r\n\r\n\r\n#### Possible solution\r\nIn `beacon_api/conf/config.py`:\r\n```py\r\nasync def init_db_pool():\r\n\r\n return await asyncpg.create_pool(host=POSTGRES['host'], # eg \"localhost\"\r\n port=POSTGRES['port'],\r\n user=POSTGRES['user'],\r\n password=POSTGRES['password'],\r\n database=POSTGRES['database'],\r\n # initializing with 0 connections allows the web server to\r\n ...\r\n```"},"repo":{"kind":"string","value":"CSCfi/beacon-python"},"test_patch":{"kind":"string","value":"diff --git a/tests/test_db_load.py b/tests/test_db_load.py\nindex 66a0439..ac01147 100644\n--- a/tests/test_db_load.py\n+++ b/tests/test_db_load.py\n@@ -95,8 +95,7 @@ class DatabaseTestCase(asynctest.TestCase):\n \r\n def setUp(self):\r\n \"\"\"Initialise BeaconDB object.\"\"\"\r\n- self._db_url = 'http://url.fi'\r\n- self._db = BeaconDB(self._db_url)\r\n+ self._db = BeaconDB()\r\n self._dir = TempDirectory()\r\n self.data = \"\"\"##fileformat=VCFv4.0\r\n ##fileDate=20090805\r\n@@ -133,14 +132,14 @@ class DatabaseTestCase(asynctest.TestCase):\n async def test_connection(self, db_mock):\r\n \"\"\"Test database URL fetching.\"\"\"\r\n await self._db.connection()\r\n- db_mock.connect.assert_called_with(self._db_url)\r\n+ db_mock.connect.assert_called()\r\n \r\n @asynctest.mock.patch('beacon_api.utils.db_load.asyncpg.connect')\r\n async def test_check_tables(self, db_mock):\r\n \"\"\"Test checking tables.\"\"\"\r\n db_mock.return_value = Connection()\r\n await self._db.connection()\r\n- db_mock.assert_called_with(self._db_url)\r\n+ db_mock.assert_called()\r\n result = await self._db.check_tables(['DATATSET1', 'DATATSET2'])\r\n # No Missing tables\r\n assert result == []\r\n@@ -155,7 +154,7 @@ class DatabaseTestCase(asynctest.TestCase):\n PRIMARY KEY (id));\"\"\"\r\n db_mock.return_value = Connection()\r\n await self._db.connection()\r\n- db_mock.assert_called_with(self._db_url)\r\n+ db_mock.assert_called()\r\n sql_file = self._dir.write('sql.init', sql.encode('utf-8'))\r\n await self._db.create_tables(sql_file)\r\n # Should assert logs\r\n@@ -177,7 +176,7 @@ class DatabaseTestCase(asynctest.TestCase):\n \"accessType\": \"PUBLIC\"}\"\"\"\r\n db_mock.return_value = Connection()\r\n await self._db.connection()\r\n- db_mock.assert_called_with(self._db_url)\r\n+ db_mock.assert_called()\r\n metafile = self._dir.write('data.json', metadata.encode('utf-8'))\r\n vcf = asynctest.mock.MagicMock(name='samples')\r\n vcf.samples.return_value = [1, 2, 3]\r\n@@ -195,7 +194,7 @@ class DatabaseTestCase(asynctest.TestCase):\n vcf.return_value = [{'record': 1}, {'record': 2}, {'records': 3}]\r\n vcf.samples.return_value = [{'record': 1}, {'record': 2}, {'records': 3}]\r\n await self._db.connection()\r\n- db_mock.assert_called_with(self._db_url)\r\n+ db_mock.assert_called()\r\n await self._db.load_datafile(vcf, self.datafile, 'DATASET1')\r\n # Should assert logs\r\n mock_log.info.mock_calls = [f'Read data from {self.datafile}',\r\n@@ -207,16 +206,17 @@ class DatabaseTestCase(asynctest.TestCase):\n \"\"\"Test load_datafile.\"\"\"\r\n db_mock.return_value = Connection()\r\n await self._db.connection()\r\n- db_mock.assert_called_with(self._db_url)\r\n+ db_mock.assert_called()\r\n await self._db.insert_variants('DATASET1', ['C'], 1)\r\n # Should assert logs\r\n mock_log.info.mock_calls = [f'Received 1 variants for insertion to DATASET1',\r\n 'Insert variants into the database']\r\n \r\n- def test_bad_init(self):\r\n- \"\"\"Capture error in case of anything wrong with initializing BeaconDB.\"\"\"\r\n- with self.assertRaises(TypeError):\r\n- BeaconDB()\r\n+ # This was the case when BeaconDB() was initiated with a URL parameter, now it happens with environment variables\r\n+ # def test_bad_init(self):\r\n+ # \"\"\"Capture error in case of anything wrong with initializing BeaconDB.\"\"\"\r\n+ # with self.assertRaises(TypeError):\r\n+ # BeaconDB()\r\n \r\n @asynctest.mock.patch('beacon_api.utils.db_load.LOG')\r\n @asynctest.mock.patch('beacon_api.utils.db_load.asyncpg.connect')\r\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"head_commit\",\n \"failed_lite_validators\": [\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 2,\n \"test_score\": 3\n },\n \"num_modified_files\": 4\n}"},"version":{"kind":"string","value":"1.0"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-mock\",\n \"pytest-asyncio\",\n \"testfixtures\",\n \"flake8\",\n \"flake8-docstrings\",\n \"asynctest\",\n \"aioresponses\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.6\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"aiocache==0.12.3\naiohttp==3.8.6\naiohttp-cors==0.7.0\naiomcache==0.6.0\naioresponses==0.7.6\naiosignal==1.2.0\nasync-timeout==4.0.2\nasyncpg==0.26.0\nasynctest==0.13.0\nattrs==22.2.0\n-e git+https://github.com/CSCfi/beacon-python.git@0f810a3789be6bc54614ddf17085655c106e486b#egg=beacon_api\ncertifi==2021.5.30\ncffi==1.15.1\ncharset-normalizer==3.0.1\nclick==8.0.4\ncoloredlogs==15.0.1\ncoverage==6.2\ncryptography==40.0.2\nCython==3.0.12\ncyvcf2==0.30.18\ndistlib==0.3.9\necdsa==0.19.1\nexecnet==1.9.0\nfilelock==3.4.1\nflake8==5.0.4\nflake8-docstrings==1.6.0\nfrozenlist==1.2.0\ngunicorn==21.2.0\nhumanfriendly==10.0\nidna==3.10\nidna-ssl==1.1.0\nimportlib-metadata==4.2.0\nimportlib-resources==5.4.0\niniconfig==1.1.1\njsonschema==3.0.0a3\nmccabe==0.7.0\nmultidict==5.2.0\nnumpy==1.19.5\npackaging==21.3\nplatformdirs==2.4.0\npluggy==1.0.0\npy==1.11.0\npyasn1==0.4.8\npycodestyle==2.9.1\npycparser==2.21\npydocstyle==6.3.0\npyflakes==2.5.0\npyparsing==3.1.4\npyrsistent==0.18.0\npytest==7.0.1\npytest-asyncio==0.16.0\npytest-cov==4.0.0\npytest-mock==3.6.1\npytest-xdist==3.0.2\npython-jose==3.4.0\nrsa==4.9\nsix==1.17.0\nsnowballstemmer==2.2.0\ntestfixtures==7.2.2\ntoml==0.10.2\ntomli==1.2.3\ntox==3.28.0\ntyping_extensions==4.1.1\nujson==4.3.0\nuvloop==0.14.0\nvirtualenv==20.17.1\nyarl==1.7.2\nzipp==3.6.0\n"},"environment":{"kind":"string","value":"name: beacon-python\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - certifi=2021.5.30=py36h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.3=he6710b0_2\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=1.1.1w=h7f8727e_0\n - pip=21.2.2=py36h06a4308_0\n - python=3.6.13=h12debd9_1\n - readline=8.2=h5eee18b_0\n - setuptools=58.0.4=py36h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.37.1=pyhd3eb1b0_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - aiocache==0.12.3\n - aiohttp==3.8.6\n - aiohttp-cors==0.7.0\n - aiomcache==0.6.0\n - aioresponses==0.7.6\n - aiosignal==1.2.0\n - async-timeout==4.0.2\n - asyncpg==0.26.0\n - asynctest==0.13.0\n - attrs==22.2.0\n - cffi==1.15.1\n - charset-normalizer==3.0.1\n - click==8.0.4\n - coloredlogs==15.0.1\n - coverage==6.2\n - cryptography==40.0.2\n - cython==3.0.12\n - cyvcf2==0.30.18\n - distlib==0.3.9\n - ecdsa==0.19.1\n - execnet==1.9.0\n - filelock==3.4.1\n - flake8==5.0.4\n - flake8-docstrings==1.6.0\n - frozenlist==1.2.0\n - gunicorn==21.2.0\n - humanfriendly==10.0\n - idna==3.10\n - idna-ssl==1.1.0\n - importlib-metadata==4.2.0\n - importlib-resources==5.4.0\n - iniconfig==1.1.1\n - jsonschema==3.0.0a3\n - mccabe==0.7.0\n - multidict==5.2.0\n - numpy==1.19.5\n - packaging==21.3\n - platformdirs==2.4.0\n - pluggy==1.0.0\n - py==1.11.0\n - pyasn1==0.4.8\n - pycodestyle==2.9.1\n - pycparser==2.21\n - pydocstyle==6.3.0\n - pyflakes==2.5.0\n - pyparsing==3.1.4\n - pyrsistent==0.18.0\n - pytest==7.0.1\n - pytest-asyncio==0.16.0\n - pytest-cov==4.0.0\n - pytest-mock==3.6.1\n - pytest-xdist==3.0.2\n - python-jose==3.4.0\n - rsa==4.9\n - six==1.17.0\n - snowballstemmer==2.2.0\n - testfixtures==7.2.2\n - toml==0.10.2\n - tomli==1.2.3\n - tox==3.28.0\n - typing-extensions==4.1.1\n - ujson==4.3.0\n - uvloop==0.14.0\n - virtualenv==20.17.1\n - yarl==1.7.2\n - zipp==3.6.0\nprefix: /opt/conda/envs/beacon-python\n"},"FAIL_TO_PASS":{"kind":"list like","value":["Test"],"string":"[\n \"Test\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":494,"cells":{"instance_id":{"kind":"string","value":"CSCfi__swift-browser-ui-20"},"base_commit":{"kind":"string","value":"316d76f77f93701289188d0d461d4fc30fdccf96"},"created_at":{"kind":"string","value":"2019-08-21 12:19:43"},"environment_setup_commit":{"kind":"string","value":"316d76f77f93701289188d0d461d4fc30fdccf96"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/swift_browser_ui/middlewares.py b/swift_browser_ui/middlewares.py\nindex 3a857ab8..3f08bf77 100644\n--- a/swift_browser_ui/middlewares.py\n+++ b/swift_browser_ui/middlewares.py\n@@ -5,41 +5,40 @@ from aiohttp import web\n from .settings import setd\n \n \n+def return_error_response(error_code):\n+ \"\"\"Return the correct error page with correct status code.\"\"\"\n+ with open(\n+ setd[\"static_directory\"] + \"/\" + str(error_code) + \".html\"\n+ ) as resp:\n+ return web.Response(\n+ body=\"\".join(resp.readlines()),\n+ status=error_code,\n+ content_type=\"text/html\",\n+ headers={\n+ \"Cache-Control\": \"no-cache, no-store, must-revalidate\",\n+ \"Pragma\": \"no-cache\",\n+ \"Expires\": \"0\"\n+ }\n+ )\n+\n+\n @web.middleware\n async def error_middleware(request, handler):\n \"\"\"Return the correct HTTP Error page.\"\"\"\n try:\n response = await handler(request)\n if response.status == 401:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/401.html\",\n- status=401\n- )\n+ return return_error_response(401)\n if response.status == 403:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/403.html\",\n- status=403\n- )\n+ return return_error_response(403)\n if response.status == 404:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/404.html\",\n- status=404\n- )\n+ return return_error_response(404)\n return response\n except web.HTTPException as ex:\n if ex.status == 401:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/401.html\",\n- status=401\n- )\n+ return return_error_response(401)\n if ex.status == 403:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/403.html\",\n- status=403\n- )\n+ return return_error_response(403)\n if ex.status == 404:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/404.html\",\n- status=404\n- )\n+ return return_error_response(404)\n raise\ndiff --git a/tox.ini b/tox.ini\nindex ab953fc3..d983294d 100644\n--- a/tox.ini\n+++ b/tox.ini\n@@ -16,7 +16,7 @@ deps =\n pydocstyle==3.0.0\n flake8\n flake8-docstrings\n-commands = flake8 .\n+commands = flake8 swift_browser_ui tests ui_tests\n \n [testenv:docs]\n ; skip_install = true\n"},"problem_statement":{"kind":"string","value":"Failure to retrieve containers after switching to a a project with no containers\n#### Describe the bug\r\nFailure to retrieve containers after switching to a a project with no containers\r\n\r\n#### To Reproduce\r\nSteps to reproduce the behaviour:\r\n1. Log in\r\n2.1 If there is a project with some containers available switch to one without anything\r\n2.2 If there is a project with no containers available switch to one with some containers\r\n4. See error\r\n\r\n#### Expected behavior\r\nDisplay the available containers if they are present.\r\n\r\n#### Screenshots\r\n\r\n\r\n#### Additional context\r\n<!-- Add any other context about the problem here. -->\r\n"},"repo":{"kind":"string","value":"CSCfi/swift-browser-ui"},"test_patch":{"kind":"string","value":"diff --git a/tests/test_middlewares.py b/tests/test_middlewares.py\nindex 84bad576..3c54417d 100644\n--- a/tests/test_middlewares.py\n+++ b/tests/test_middlewares.py\n@@ -52,37 +52,37 @@ class MiddlewareTestClass(asynctest.TestCase):\n \"\"\"Test 401 middleware when the 401 status is returned.\"\"\"\n resp = await error_middleware(None, return_401_handler)\n self.assertEqual(resp.status, 401)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_401_exception(self):\n \"\"\"Test 401 middleware when the 401 status is risen.\"\"\"\n resp = await error_middleware(True, return_401_handler)\n self.assertEqual(resp.status, 401)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_403_return(self):\n \"\"\"Test 403 middleware when the 403 status is returned.\"\"\"\n resp = await error_middleware(None, return_403_handler)\n self.assertEqual(resp.status, 403)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_403_exception(self):\n \"\"\"Test 403 middleware when the 403 status is risen.\"\"\"\n resp = await error_middleware(True, return_403_handler)\n self.assertEqual(resp.status, 403)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_404_return(self):\n \"\"\"Test 404 middleware when the 404 status is returned.\"\"\"\n resp = await error_middleware(None, return_404_handler)\n self.assertEqual(resp.status, 404)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_404_exception(self):\n \"\"\"Test 404 middlewrae when the 404 status is risen.\"\"\"\n resp = await error_middleware(True, return_404_handler)\n self.assertEqual(resp.status, 404)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_error_middleware_no_error(self):\n \"\"\"Test the general error middleware with correct status.\"\"\"\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"head_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_media\",\n \"has_many_modified_files\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 1,\n \"test_score\": 2\n },\n \"num_modified_files\": 2\n}"},"version":{"kind":"string","value":"0.3"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[test]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.7\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"aiohttp==3.8.6\naiosignal==1.3.1\nalabaster==0.7.13\nasync-timeout==4.0.3\nasynctest==0.13.0\nattrs==24.2.0\nBabel==2.14.0\ncertifi @ file:///croot/certifi_1671487769961/work/certifi\ncffi==1.15.1\ncharset-normalizer==3.4.1\nclick==8.1.8\ncoverage==6.5.0\ncoveralls==3.3.1\ncryptography==44.0.2\ndistlib==0.3.9\ndocopt==0.6.2\ndocutils==0.19\nexceptiongroup==1.2.2\nexecnet==2.0.2\nfilelock==3.12.2\nflake8==5.0.4\nflake8-docstrings==1.7.0\nfrozenlist==1.3.3\ngunicorn==23.0.0\nidna==3.10\nimagesize==1.4.1\nimportlib-metadata==4.2.0\niniconfig==2.0.0\niso8601==2.1.0\nJinja2==3.1.6\nkeystoneauth1==5.1.3\nMarkupSafe==2.1.5\nmccabe==0.7.0\nmultidict==6.0.5\nos-service-types==1.7.0\npackaging==24.0\npbr==6.1.1\nplatformdirs==2.6.2\npluggy==1.2.0\npy==1.11.0\npycodestyle==2.9.1\npycparser==2.21\npydocstyle==6.3.0\npyflakes==2.5.0\nPygments==2.17.2\npytest==7.4.4\npytest-aiohttp==1.0.5\npytest-asyncio==0.21.2\npytest-cov==4.1.0\npytest-xdist==3.5.0\npython-swiftclient==4.7.0\npytz==2025.2\nrequests==2.31.0\nsix==1.17.0\nsnowballstemmer==2.2.0\nSphinx==5.3.0\nsphinx-rtd-theme==2.0.0\nsphinxcontrib-applehelp==1.0.2\nsphinxcontrib-devhelp==1.0.2\nsphinxcontrib-htmlhelp==2.0.0\nsphinxcontrib-jquery==4.1\nsphinxcontrib-jsmath==1.0.1\nsphinxcontrib-qthelp==1.0.3\nsphinxcontrib-serializinghtml==1.1.5\nstevedore==3.5.2\n-e git+https://github.com/CSCfi/swift-browser-ui.git@316d76f77f93701289188d0d461d4fc30fdccf96#egg=swift_browser_ui\ntomli==2.0.1\ntox==3.28.0\ntyping_extensions==4.7.1\nurllib3==2.0.7\nuvloop==0.18.0\nvirtualenv==20.16.2\nyarl==1.9.4\nzipp==3.15.0\n"},"environment":{"kind":"string","value":"name: swift-browser-ui\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - certifi=2022.12.7=py37h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=1.1.1w=h7f8727e_0\n - pip=22.3.1=py37h06a4308_0\n - python=3.7.16=h7a1cb2a_0\n - readline=8.2=h5eee18b_0\n - setuptools=65.6.3=py37h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.38.4=py37h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - aiohttp==3.8.6\n - aiosignal==1.3.1\n - alabaster==0.7.13\n - async-timeout==4.0.3\n - asynctest==0.13.0\n - attrs==24.2.0\n - babel==2.14.0\n - cffi==1.15.1\n - charset-normalizer==3.4.1\n - click==8.1.8\n - coverage==6.5.0\n - coveralls==3.3.1\n - cryptography==44.0.2\n - distlib==0.3.9\n - docopt==0.6.2\n - docutils==0.19\n - exceptiongroup==1.2.2\n - execnet==2.0.2\n - filelock==3.12.2\n - flake8==5.0.4\n - flake8-docstrings==1.7.0\n - frozenlist==1.3.3\n - gunicorn==23.0.0\n - idna==3.10\n - imagesize==1.4.1\n - importlib-metadata==4.2.0\n - iniconfig==2.0.0\n - iso8601==2.1.0\n - jinja2==3.1.6\n - keystoneauth1==5.1.3\n - markupsafe==2.1.5\n - mccabe==0.7.0\n - multidict==6.0.5\n - os-service-types==1.7.0\n - packaging==24.0\n - pbr==6.1.1\n - platformdirs==2.6.2\n - pluggy==1.2.0\n - py==1.11.0\n - pycodestyle==2.9.1\n - pycparser==2.21\n - pydocstyle==6.3.0\n - pyflakes==2.5.0\n - pygments==2.17.2\n - pytest==7.4.4\n - pytest-aiohttp==1.0.5\n - pytest-asyncio==0.21.2\n - pytest-cov==4.1.0\n - pytest-xdist==3.5.0\n - python-swiftclient==4.7.0\n - pytz==2025.2\n - requests==2.31.0\n - six==1.17.0\n - snowballstemmer==2.2.0\n - sphinx==5.3.0\n - sphinx-rtd-theme==2.0.0\n - sphinxcontrib-applehelp==1.0.2\n - sphinxcontrib-devhelp==1.0.2\n - sphinxcontrib-htmlhelp==2.0.0\n - sphinxcontrib-jquery==4.1\n - sphinxcontrib-jsmath==1.0.1\n - sphinxcontrib-qthelp==1.0.3\n - sphinxcontrib-serializinghtml==1.1.5\n - stevedore==3.5.2\n - tomli==2.0.1\n - tox==3.28.0\n - typing-extensions==4.7.1\n - urllib3==2.0.7\n - uvloop==0.18.0\n - virtualenv==20.16.2\n - yarl==1.9.4\n - zipp==3.15.0\nprefix: /opt/conda/envs/swift-browser-ui\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/test_middlewares.py::MiddlewareTestClass::test_401_exception","tests/test_middlewares.py::MiddlewareTestClass::test_401_return","tests/test_middlewares.py::MiddlewareTestClass::test_403_exception","tests/test_middlewares.py::MiddlewareTestClass::test_403_return","tests/test_middlewares.py::MiddlewareTestClass::test_404_exception","tests/test_middlewares.py::MiddlewareTestClass::test_404_return"],"string":"[\n \"tests/test_middlewares.py::MiddlewareTestClass::test_401_exception\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_401_return\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_403_exception\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_403_return\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_404_exception\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_404_return\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_no_error","tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_non_handled_raise"],"string":"[\n \"tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_no_error\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_non_handled_raise\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"MIT License"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-20"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-20"}}},{"rowIdx":495,"cells":{"instance_id":{"kind":"string","value":"CSCfi__swift-browser-ui-21"},"base_commit":{"kind":"string","value":"316d76f77f93701289188d0d461d4fc30fdccf96"},"created_at":{"kind":"string","value":"2019-08-21 13:00:14"},"environment_setup_commit":{"kind":"string","value":"316d76f77f93701289188d0d461d4fc30fdccf96"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/docs/source/conf.py b/docs/source/conf.py\nindex 861c746a..c2766881 100644\n--- a/docs/source/conf.py\n+++ b/docs/source/conf.py\n@@ -28,7 +28,7 @@ copyright = f'{current_year}, CSC Developers'\n author = 'CSC Developers'\n \n # The full version, including alpha/beta/rc tags\n-version = release = '0.3.2'\n+version = release = '0.3.3'\n \n \n # -- General configuration ---------------------------------------------------\ndiff --git a/swift_browser_ui/__init__.py b/swift_browser_ui/__init__.py\nindex a1d3d29a..330337d2 100644\n--- a/swift_browser_ui/__init__.py\n+++ b/swift_browser_ui/__init__.py\n@@ -7,6 +7,6 @@ with the object storage.\n \n \n __name__ = 'swift_browser_ui'\n-__version__ = '0.3.2'\n+__version__ = '0.3.3'\n __author__ = 'CSC Developers'\n __license__ = 'MIT License'\ndiff --git a/swift_browser_ui/middlewares.py b/swift_browser_ui/middlewares.py\nindex 3a857ab8..3f08bf77 100644\n--- a/swift_browser_ui/middlewares.py\n+++ b/swift_browser_ui/middlewares.py\n@@ -5,41 +5,40 @@ from aiohttp import web\n from .settings import setd\n \n \n+def return_error_response(error_code):\n+ \"\"\"Return the correct error page with correct status code.\"\"\"\n+ with open(\n+ setd[\"static_directory\"] + \"/\" + str(error_code) + \".html\"\n+ ) as resp:\n+ return web.Response(\n+ body=\"\".join(resp.readlines()),\n+ status=error_code,\n+ content_type=\"text/html\",\n+ headers={\n+ \"Cache-Control\": \"no-cache, no-store, must-revalidate\",\n+ \"Pragma\": \"no-cache\",\n+ \"Expires\": \"0\"\n+ }\n+ )\n+\n+\n @web.middleware\n async def error_middleware(request, handler):\n \"\"\"Return the correct HTTP Error page.\"\"\"\n try:\n response = await handler(request)\n if response.status == 401:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/401.html\",\n- status=401\n- )\n+ return return_error_response(401)\n if response.status == 403:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/403.html\",\n- status=403\n- )\n+ return return_error_response(403)\n if response.status == 404:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/404.html\",\n- status=404\n- )\n+ return return_error_response(404)\n return response\n except web.HTTPException as ex:\n if ex.status == 401:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/401.html\",\n- status=401\n- )\n+ return return_error_response(401)\n if ex.status == 403:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/403.html\",\n- status=403\n- )\n+ return return_error_response(403)\n if ex.status == 404:\n- return web.FileResponse(\n- setd[\"static_directory\"] + \"/404.html\",\n- status=404\n- )\n+ return return_error_response(404)\n raise\ndiff --git a/tox.ini b/tox.ini\nindex ab953fc3..d983294d 100644\n--- a/tox.ini\n+++ b/tox.ini\n@@ -16,7 +16,7 @@ deps =\n pydocstyle==3.0.0\n flake8\n flake8-docstrings\n-commands = flake8 .\n+commands = flake8 swift_browser_ui tests ui_tests\n \n [testenv:docs]\n ; skip_install = true\n"},"problem_statement":{"kind":"string","value":"Failure to retrieve containers after switching to a a project with no containers\n#### Describe the bug\r\nFailure to retrieve containers after switching to a a project with no containers\r\n\r\n#### To Reproduce\r\nSteps to reproduce the behaviour:\r\n1. Log in\r\n2.1 If there is a project with some containers available switch to one without anything\r\n2.2 If there is a project with no containers available switch to one with some containers\r\n4. See error\r\n\r\n#### Expected behavior\r\nDisplay the available containers if they are present.\r\n\r\n#### Screenshots\r\n\r\n\r\n#### Additional context\r\n<!-- Add any other context about the problem here. -->\r\n"},"repo":{"kind":"string","value":"CSCfi/swift-browser-ui"},"test_patch":{"kind":"string","value":"diff --git a/tests/test_middlewares.py b/tests/test_middlewares.py\nindex 84bad576..3c54417d 100644\n--- a/tests/test_middlewares.py\n+++ b/tests/test_middlewares.py\n@@ -52,37 +52,37 @@ class MiddlewareTestClass(asynctest.TestCase):\n \"\"\"Test 401 middleware when the 401 status is returned.\"\"\"\n resp = await error_middleware(None, return_401_handler)\n self.assertEqual(resp.status, 401)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_401_exception(self):\n \"\"\"Test 401 middleware when the 401 status is risen.\"\"\"\n resp = await error_middleware(True, return_401_handler)\n self.assertEqual(resp.status, 401)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_403_return(self):\n \"\"\"Test 403 middleware when the 403 status is returned.\"\"\"\n resp = await error_middleware(None, return_403_handler)\n self.assertEqual(resp.status, 403)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_403_exception(self):\n \"\"\"Test 403 middleware when the 403 status is risen.\"\"\"\n resp = await error_middleware(True, return_403_handler)\n self.assertEqual(resp.status, 403)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_404_return(self):\n \"\"\"Test 404 middleware when the 404 status is returned.\"\"\"\n resp = await error_middleware(None, return_404_handler)\n self.assertEqual(resp.status, 404)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_404_exception(self):\n \"\"\"Test 404 middlewrae when the 404 status is risen.\"\"\"\n resp = await error_middleware(True, return_404_handler)\n self.assertEqual(resp.status, 404)\n- self.assertIsInstance(resp, FileResponse)\n+ self.assertIsInstance(resp, Response)\n \n async def test_error_middleware_no_error(self):\n \"\"\"Test the general error middleware with correct status.\"\"\"\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"head_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_media\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 1,\n \"issue_text_score\": 1,\n \"test_score\": 1\n },\n \"num_modified_files\": 4\n}"},"version":{"kind":"string","value":"0.3"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[test]\",\n \"log_parser\": \"parse_log_pytest_v2\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-mock\",\n \"pytest-asyncio\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.7\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest -xvs\"\n}"},"requirements":{"kind":"string","value":"aiohttp==3.8.6\naiosignal==1.3.1\nalabaster==0.7.13\nasync-timeout==4.0.3\nasynctest==0.13.0\nattrs==24.2.0\nBabel==2.14.0\ncertifi @ file:///croot/certifi_1671487769961/work/certifi\ncffi==1.15.1\ncharset-normalizer==3.4.1\nclick==8.1.8\ncoverage==6.5.0\ncoveralls==3.3.1\ncryptography==44.0.2\ndistlib==0.3.9\ndocopt==0.6.2\ndocutils==0.19\nexceptiongroup==1.2.2\nexecnet==2.0.2\nfilelock==3.12.2\nflake8==5.0.4\nflake8-docstrings==1.7.0\nfrozenlist==1.3.3\ngunicorn==23.0.0\nidna==3.10\nimagesize==1.4.1\nimportlib-metadata==4.2.0\niniconfig==2.0.0\niso8601==2.1.0\nJinja2==3.1.6\nkeystoneauth1==5.1.3\nMarkupSafe==2.1.5\nmccabe==0.7.0\nmultidict==6.0.5\nos-service-types==1.7.0\npackaging==24.0\npbr==6.1.1\nplatformdirs==2.6.2\npluggy==1.2.0\npy==1.11.0\npycodestyle==2.9.1\npycparser==2.21\npydocstyle==6.3.0\npyflakes==2.5.0\nPygments==2.17.2\npytest==7.4.4\npytest-aiohttp==1.0.5\npytest-asyncio==0.21.2\npytest-cov==4.1.0\npytest-mock==3.11.1\npytest-xdist==3.5.0\npython-swiftclient==4.7.0\npytz==2025.2\nrequests==2.31.0\nsix==1.17.0\nsnowballstemmer==2.2.0\nSphinx==5.3.0\nsphinx-rtd-theme==2.0.0\nsphinxcontrib-applehelp==1.0.2\nsphinxcontrib-devhelp==1.0.2\nsphinxcontrib-htmlhelp==2.0.0\nsphinxcontrib-jquery==4.1\nsphinxcontrib-jsmath==1.0.1\nsphinxcontrib-qthelp==1.0.3\nsphinxcontrib-serializinghtml==1.1.5\nstevedore==3.5.2\n-e git+https://github.com/CSCfi/swift-browser-ui.git@316d76f77f93701289188d0d461d4fc30fdccf96#egg=swift_browser_ui\ntomli==2.0.1\ntox==3.28.0\ntyping_extensions==4.7.1\nurllib3==2.0.7\nuvloop==0.18.0\nvirtualenv==20.16.2\nyarl==1.9.4\nzipp==3.15.0\n"},"environment":{"kind":"string","value":"name: swift-browser-ui\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - certifi=2022.12.7=py37h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=1.1.1w=h7f8727e_0\n - pip=22.3.1=py37h06a4308_0\n - python=3.7.16=h7a1cb2a_0\n - readline=8.2=h5eee18b_0\n - setuptools=65.6.3=py37h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.38.4=py37h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - aiohttp==3.8.6\n - aiosignal==1.3.1\n - alabaster==0.7.13\n - async-timeout==4.0.3\n - asynctest==0.13.0\n - attrs==24.2.0\n - babel==2.14.0\n - cffi==1.15.1\n - charset-normalizer==3.4.1\n - click==8.1.8\n - coverage==6.5.0\n - coveralls==3.3.1\n - cryptography==44.0.2\n - distlib==0.3.9\n - docopt==0.6.2\n - docutils==0.19\n - exceptiongroup==1.2.2\n - execnet==2.0.2\n - filelock==3.12.2\n - flake8==5.0.4\n - flake8-docstrings==1.7.0\n - frozenlist==1.3.3\n - gunicorn==23.0.0\n - idna==3.10\n - imagesize==1.4.1\n - importlib-metadata==4.2.0\n - iniconfig==2.0.0\n - iso8601==2.1.0\n - jinja2==3.1.6\n - keystoneauth1==5.1.3\n - markupsafe==2.1.5\n - mccabe==0.7.0\n - multidict==6.0.5\n - os-service-types==1.7.0\n - packaging==24.0\n - pbr==6.1.1\n - platformdirs==2.6.2\n - pluggy==1.2.0\n - py==1.11.0\n - pycodestyle==2.9.1\n - pycparser==2.21\n - pydocstyle==6.3.0\n - pyflakes==2.5.0\n - pygments==2.17.2\n - pytest==7.4.4\n - pytest-aiohttp==1.0.5\n - pytest-asyncio==0.21.2\n - pytest-cov==4.1.0\n - pytest-mock==3.11.1\n - pytest-xdist==3.5.0\n - python-swiftclient==4.7.0\n - pytz==2025.2\n - requests==2.31.0\n - six==1.17.0\n - snowballstemmer==2.2.0\n - sphinx==5.3.0\n - sphinx-rtd-theme==2.0.0\n - sphinxcontrib-applehelp==1.0.2\n - sphinxcontrib-devhelp==1.0.2\n - sphinxcontrib-htmlhelp==2.0.0\n - sphinxcontrib-jquery==4.1\n - sphinxcontrib-jsmath==1.0.1\n - sphinxcontrib-qthelp==1.0.3\n - sphinxcontrib-serializinghtml==1.1.5\n - stevedore==3.5.2\n - tomli==2.0.1\n - tox==3.28.0\n - typing-extensions==4.7.1\n - urllib3==2.0.7\n - uvloop==0.18.0\n - virtualenv==20.16.2\n - yarl==1.9.4\n - zipp==3.15.0\nprefix: /opt/conda/envs/swift-browser-ui\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/test_middlewares.py::MiddlewareTestClass::test_401_exception","tests/test_middlewares.py::MiddlewareTestClass::test_401_return","tests/test_middlewares.py::MiddlewareTestClass::test_403_exception","tests/test_middlewares.py::MiddlewareTestClass::test_403_return","tests/test_middlewares.py::MiddlewareTestClass::test_404_exception","tests/test_middlewares.py::MiddlewareTestClass::test_404_return","tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_no_error","tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_non_handled_raise"],"string":"[\n \"tests/test_middlewares.py::MiddlewareTestClass::test_401_exception\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_401_return\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_403_exception\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_403_return\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_404_exception\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_404_return\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_no_error\",\n \"tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_non_handled_raise\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"MIT License"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-21"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-21"}}},{"rowIdx":496,"cells":{"instance_id":{"kind":"string","value":"CSCfi__swift-browser-ui-394"},"base_commit":{"kind":"string","value":"2434fc7b1907f113f516da55eb9de62b1e452541"},"created_at":{"kind":"string","value":"2021-11-12 14:55:00"},"environment_setup_commit":{"kind":"string","value":"26a360f4c39d0c2161c9651554090a9610d4cbce"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/swift_browser_ui/ui/api.py b/swift_browser_ui/ui/api.py\nindex 9fa283b5..0da1405b 100644\n--- a/swift_browser_ui/ui/api.py\n+++ b/swift_browser_ui/ui/api.py\n@@ -67,11 +67,6 @@ async def swift_list_buckets(request: aiohttp.web.Request) -> aiohttp.web.Respon\n # response at once\n serv = request.app[\"Sessions\"][session][\"ST_conn\"].list()\n [_unpack(i, cont, request) for i in serv]\n- # for a bucket with no objects\n- if not cont:\n- # return empty object\n- request.app[\"Log\"].debug(\"Empty container list.\")\n- raise aiohttp.web.HTTPNotFound()\n return aiohttp.web.json_response(cont)\n except SwiftError:\n request.app[\"Log\"].error(\"SwiftError occured return empty container list.\")\ndiff --git a/swift_browser_ui_frontend/src/components/Breadcrumb.vue b/swift_browser_ui_frontend/src/components/Breadcrumb.vue\nnew file mode 100644\nindex 00000000..457defe0\n--- /dev/null\n+++ b/swift_browser_ui_frontend/src/components/Breadcrumb.vue\n@@ -0,0 +1,22 @@\n+<template>\n+ <li class=\"breadcrumb-element\">\n+ <router-link\n+ class=\"breadcrumb-link\"\n+ :to=\"address\"\n+ >\n+ {{ alias | truncate(100) }}\n+ </router-link>\n+ </li>\n+</template>\n+\n+<script>\n+export default {\n+ name: \"BreadcrumbListElement\",\n+ filters: {\n+ truncate(value, length) {\n+ return value.length > length ? value.substr(0, length) + \"...\" : value;\n+ },\n+ },\n+ props: [\"address\", \"alias\"],\n+};\n+</script>\ndiff --git a/swift_browser_ui_frontend/src/entries/main.js b/swift_browser_ui_frontend/src/entries/main.js\nindex 64e708db..9e8579e8 100644\n--- a/swift_browser_ui_frontend/src/entries/main.js\n+++ b/swift_browser_ui_frontend/src/entries/main.js\n@@ -7,6 +7,7 @@ import VueI18n from \"vue-i18n\";\n \n // Project Vue components\n import BrowserNavbar from \"@/components/BrowserNavbar.vue\";\n+import BreadcrumbListElement from \"@/components/Breadcrumb.vue\";\n \n // Project JS functions\n import getLangCookie from \"@/common/conv\";\n@@ -48,6 +49,7 @@ new Vue({\n store,\n components: {\n BrowserNavbar,\n+ BreadcrumbListElement,\n ProgressBar,\n },\n computed: {\ndiff --git a/swift_browser_ui_frontend/src/pages/BrowserPage.vue b/swift_browser_ui_frontend/src/pages/BrowserPage.vue\nindex 70f25229..e2e82dc7 100644\n--- a/swift_browser_ui_frontend/src/pages/BrowserPage.vue\n+++ b/swift_browser_ui_frontend/src/pages/BrowserPage.vue\n@@ -6,18 +6,22 @@\n :projects=\"projects\"\n />\n <ProgressBar v-if=\"isUploading || isChunking\" />\n- <b-breadcrumb\n- style=\"margin-left:5%;margin-top:1%;font-size:1rem;\"\n+ <div\n+ class=\"breadcrumb\"\n+ aria-label=\"breadcrumbs\"\n >\n- <b-breadcrumb-item\n- v-for=\"item in getRouteAsList ()\"\n- :key=\"item.alias\"\n- :to=\"item.address\"\n- tag=\"router-link\"\n+ <ul\n+ id=\"breadcrumb-list\"\n+ style=\"margin-left:5%;margin-top:1%;\"\n >\n- {{ item.alias | truncate(100) }}\n- </b-breadcrumb-item>\n- </b-breadcrumb>\n+ <BreadcrumbListElement\n+ v-for=\"item in getRouteAsList ()\"\n+ :key=\"item.alias\"\n+ :alias=\"item.alias\"\n+ :address=\"item.address\"\n+ />\n+ </ul>\n+ </div>\n <router-view />\n <b-loading\n :is-full-page=\"isFullPage\"\n@@ -43,17 +47,6 @@\n </div>\n </template>\n \n-<script>\n-export default {\n- name: \"BrowserPage\",\n- filters: {\n- truncate(value, length) {\n- return value.length > length ? value.substr(0, length) + \"...\" : value;\n- },\n- },\n-};\n-</script>\n-\n <style>\n html, body {\n height: 100%;\n"},"problem_statement":{"kind":"string","value":"Deleting the last bucket does not refresh the browser view\n#### Describe the bug\r\nIf you delete the last bucket in the project a notification is shown that the bucket is deleted, but the view does not get updated and the bucket is still visible and you can still open the bucket.\r\n\r\n#### To Reproduce\r\nSteps to reproduce the behaviour:\r\n1. Select a project with one bucket (or one without any and create a new bucket).\r\n2. Select the bucket and click \"Delete\".\r\n3. A notification pops up saying bucket was deleted.\r\n4. The bucket is still visible the browser and is still accessible, you can click \"Delete\" again and you can even open the bucket.\r\n\r\n#### Expected behavior\r\nAlong with the notification in step 3 above, the browser view should be refreshed so that the bucket disappears.\r\n\r\n#### Screenshots\r\n\r\n\r\n\r\n#### Additional context\r\nTested with latest Firefox (93.0 for macOS)."},"repo":{"kind":"string","value":"CSCfi/swift-browser-ui"},"test_patch":{"kind":"string","value":"diff --git a/tests/ui_unit/test_api.py b/tests/ui_unit/test_api.py\nindex 5348e7d0..f116ab0f 100644\n--- a/tests/ui_unit/test_api.py\n+++ b/tests/ui_unit/test_api.py\n@@ -107,10 +107,11 @@ class APITestClass(asynctest.TestCase):\n )\n \n async def test_list_without_containers(self):\n- \"\"\"Test function list buckets on a project without object storage.\"\"\"\n+ \"\"\"Test function list buckets on a project without containers.\"\"\"\n self.request.app[\"Sessions\"][self.cookie][\"ST_conn\"].init_with_data(containers=0)\n- with self.assertRaises(HTTPNotFound):\n- _ = await swift_list_buckets(self.request)\n+ response = await swift_list_buckets(self.request)\n+ objects = json.loads(response.text)\n+ self.assertEqual(objects, [])\n \n async def test_list_with_invalid_container(self):\n \"\"\"Test function list objects with an invalid container id.\"\"\"\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"head_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_media\",\n \"has_added_files\",\n \"has_many_modified_files\",\n \"has_many_hunks\",\n \"has_pytest_match_arg\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 3,\n \"issue_text_score\": 0,\n \"test_score\": 0\n },\n \"num_modified_files\": 3\n}"},"version":{"kind":"string","value":"1.1"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest pytest-cov flake8 flake8-docstrings pytest-xdist asynctest\",\n \"pytest\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.8\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"aiohttp==3.7.4.post0\nalabaster==0.7.13\nasync-timeout==3.0.1\nasyncpg==0.24.0\nasynctest==0.13.0\nattrs==25.3.0\nbabel==2.17.0\ncertifi==2021.10.8\ncffi==1.17.1\nchardet==4.0.0\ncharset-normalizer==3.4.1\nclick==8.0.3\ncoverage==7.6.1\ncryptography==35.0.0\ndocutils==0.17.1\nexceptiongroup==1.2.2\nexecnet==2.1.1\nflake8==7.1.2\nflake8-docstrings==1.7.0\ngunicorn==23.0.0\nidna==3.10\nimagesize==1.4.1\niniconfig==2.1.0\niso8601==2.1.0\nJinja2==3.1.6\nkeystoneauth1==4.4.0\nMarkupSafe==2.1.5\nmccabe==0.7.0\nmultidict==6.1.0\nos-service-types==1.7.0\npackaging==24.2\npbr==6.1.1\npluggy==1.5.0\npropcache==0.2.0\npycodestyle==2.12.1\npycparser==2.22\npydocstyle==6.3.0\npyflakes==3.2.0\nPygments==2.19.1\npytest==8.3.5\npytest-cov==5.0.0\npytest-xdist==3.6.1\npython-swiftclient==3.12.0\npytz==2025.2\nrequests==2.32.3\nsix==1.17.0\nsnowballstemmer==2.2.0\nSphinx==4.2.0\nsphinx-rtd-theme==1.0.0\nsphinxcontrib-applehelp==1.0.4\nsphinxcontrib-devhelp==1.0.2\nsphinxcontrib-htmlhelp==2.0.1\nsphinxcontrib-jsmath==1.0.1\nsphinxcontrib-qthelp==1.0.3\nsphinxcontrib-serializinghtml==1.1.5\nstevedore==5.3.0\n-e git+https://github.com/CSCfi/swift-browser-ui.git@2434fc7b1907f113f516da55eb9de62b1e452541#egg=swift_browser_ui\ntomli==2.2.1\ntyping_extensions==4.13.0\nurllib3==2.2.3\nuvloop==0.16.0\nyarl==1.15.2\n"},"environment":{"kind":"string","value":"name: swift-browser-ui\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=24.2=py38h06a4308_0\n - python=3.8.20=he870216_0\n - readline=8.2=h5eee18b_0\n - setuptools=75.1.0=py38h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - wheel=0.44.0=py38h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - aiohttp==3.7.4.post0\n - alabaster==0.7.13\n - async-timeout==3.0.1\n - asyncpg==0.24.0\n - asynctest==0.13.0\n - attrs==25.3.0\n - babel==2.17.0\n - certifi==2021.10.8\n - cffi==1.17.1\n - chardet==4.0.0\n - charset-normalizer==3.4.1\n - click==8.0.3\n - coverage==7.6.1\n - cryptography==35.0.0\n - docutils==0.17.1\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - flake8==7.1.2\n - flake8-docstrings==1.7.0\n - gunicorn==23.0.0\n - idna==3.10\n - imagesize==1.4.1\n - iniconfig==2.1.0\n - iso8601==2.1.0\n - jinja2==3.1.6\n - keystoneauth1==4.4.0\n - markupsafe==2.1.5\n - mccabe==0.7.0\n - multidict==6.1.0\n - os-service-types==1.7.0\n - packaging==24.2\n - pbr==6.1.1\n - pluggy==1.5.0\n - propcache==0.2.0\n - pycodestyle==2.12.1\n - pycparser==2.22\n - pydocstyle==6.3.0\n - pyflakes==3.2.0\n - pygments==2.19.1\n - pytest==8.3.5\n - pytest-cov==5.0.0\n - pytest-xdist==3.6.1\n - python-swiftclient==3.12.0\n - pytz==2025.2\n - requests==2.32.3\n - six==1.17.0\n - snowballstemmer==2.2.0\n - sphinx==4.2.0\n - sphinx-rtd-theme==1.0.0\n - sphinxcontrib-applehelp==1.0.4\n - sphinxcontrib-devhelp==1.0.2\n - sphinxcontrib-htmlhelp==2.0.1\n - sphinxcontrib-jsmath==1.0.1\n - sphinxcontrib-qthelp==1.0.3\n - sphinxcontrib-serializinghtml==1.1.5\n - stevedore==5.3.0\n - tomli==2.2.1\n - typing-extensions==4.13.0\n - urllib3==2.2.3\n - uvloop==0.16.0\n - yarl==1.15.2\nprefix: /opt/conda/envs/swift-browser-ui\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/ui_unit/test_api.py::APITestClass::test_list_without_containers"],"string":"[\n \"tests/ui_unit/test_api.py::APITestClass::test_list_without_containers\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/ui_unit/test_api.py::APITestClass::test_get_container_meta_swift","tests/ui_unit/test_api.py::APITestClass::test_get_object_meta_s3","tests/ui_unit/test_api.py::APITestClass::test_get_object_meta_swift","tests/ui_unit/test_api.py::APITestClass::test_get_object_meta_swift_whole","tests/ui_unit/test_api.py::APITestClass::test_get_os_active_project","tests/ui_unit/test_api.py::APITestClass::test_get_os_user","tests/ui_unit/test_api.py::APITestClass::test_get_project_metadata","tests/ui_unit/test_api.py::APITestClass::test_list_containers_correct","tests/ui_unit/test_api.py::APITestClass::test_list_containers_swift_error","tests/ui_unit/test_api.py::APITestClass::test_list_objects_correct","tests/ui_unit/test_api.py::APITestClass::test_list_objects_with_unicode_nulls","tests/ui_unit/test_api.py::APITestClass::test_list_with_invalid_container","tests/ui_unit/test_api.py::APITestClass::test_list_without_objects","tests/ui_unit/test_api.py::APITestClass::test_os_list_projects","tests/ui_unit/test_api.py::APITestClass::test_swift_download_object","tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_check_object_chunk","tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_download_container","tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_download_share_object","tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_replicate_container","tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_upload_object_chunk"],"string":"[\n \"tests/ui_unit/test_api.py::APITestClass::test_get_container_meta_swift\",\n \"tests/ui_unit/test_api.py::APITestClass::test_get_object_meta_s3\",\n \"tests/ui_unit/test_api.py::APITestClass::test_get_object_meta_swift\",\n \"tests/ui_unit/test_api.py::APITestClass::test_get_object_meta_swift_whole\",\n \"tests/ui_unit/test_api.py::APITestClass::test_get_os_active_project\",\n \"tests/ui_unit/test_api.py::APITestClass::test_get_os_user\",\n \"tests/ui_unit/test_api.py::APITestClass::test_get_project_metadata\",\n \"tests/ui_unit/test_api.py::APITestClass::test_list_containers_correct\",\n \"tests/ui_unit/test_api.py::APITestClass::test_list_containers_swift_error\",\n \"tests/ui_unit/test_api.py::APITestClass::test_list_objects_correct\",\n \"tests/ui_unit/test_api.py::APITestClass::test_list_objects_with_unicode_nulls\",\n \"tests/ui_unit/test_api.py::APITestClass::test_list_with_invalid_container\",\n \"tests/ui_unit/test_api.py::APITestClass::test_list_without_objects\",\n \"tests/ui_unit/test_api.py::APITestClass::test_os_list_projects\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_download_object\",\n \"tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_check_object_chunk\",\n \"tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_download_container\",\n \"tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_download_share_object\",\n \"tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_replicate_container\",\n \"tests/ui_unit/test_api.py::TestProxyFunctions::test_swift_upload_object_chunk\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"MIT License"},"docker_image":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-394"},"image_name":{"kind":"string","value":"swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-394"}}},{"rowIdx":497,"cells":{"instance_id":{"kind":"string","value":"CSCfi__swift-browser-ui-541"},"base_commit":{"kind":"string","value":"26a360f4c39d0c2161c9651554090a9610d4cbce"},"created_at":{"kind":"string","value":"2022-03-01 13:50:01"},"environment_setup_commit":{"kind":"string","value":"26a360f4c39d0c2161c9651554090a9610d4cbce"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/.github/config/.finnishwords.txt b/.github/config/.finnishwords.txt\nindex 3629ed43..397cc63b 100644\n--- a/.github/config/.finnishwords.txt\n+++ b/.github/config/.finnishwords.txt\n@@ -1,5 +1,7 @@\n+\n ajaksi\n alapuolisesta\n+alla\n aloitettiin\n annetut\n apin\n@@ -24,6 +26,7 @@ erillinen\n erissä\n esimerkiksi\n esitetty\n+estetty\n etsi\n etsittyä\n että\n@@ -32,6 +35,7 @@ etusivun\n hakea\n haku\n hakuindeksi\n+haluat\n haluatko\n halutako\n haluttu\n@@ -65,9 +69,11 @@ johtaa\n johtua\n jonka\n jos\n+jota\n julkinen\n julkiset\n julkisia\n+kaikki\n kansio\n kansioille\n kansioina\n@@ -86,6 +92,7 @@ käyttäjän\n käyttäjänimestä\n käyttöä\n käyttöliittymä\n+käyttöliittymän\n käyttörajoista\n kehittänyt\n kelpaa\n@@ -96,6 +103,8 @@ keskus\n kestää\n kiellettyä\n kirjaudu\n+kirjautuaksesi\n+kirjautumalla\n kirjautumisen\n kirjoitus\n kirjoitusoikeus\n@@ -162,6 +171,7 @@ mikä\n mikäli\n minuutin\n mitätöi\n+muiden\n muita\n mukaan\n muokataan\n@@ -172,7 +182,9 @@ muussa\n muutaman\n muuttaa\n muuttaaksesi\n+näkyvissä\n nämä\n+nappia\n navigointia\n näytä\n näytetään\n@@ -205,6 +217,7 @@ omistavan\n ongelmiin\n onnistui\n onnistunut\n+onnistuu\n operaatio\n operaation\n osoite\n@@ -237,13 +250,18 @@ polku\n postamista\n poudan\n projekteihin\n+projekteja\n projekti\n+projektia\n+projektien\n+projektien\n projektilla\n projektille\n projektilta\n projektin\n projektissa\n projektista\n+projektit\n projektitunnisteet\n projektitunnisteille\n pudota\n@@ -253,6 +271,13 @@ pyydetty\n pyydetyn\n pyyntö\n rajan\n+rajattu\n+rajatun\n+rajoitettua\n+rajoitettuihin\n+rajoittamattomat\n+rajoittamattomia\n+rajoittamattomien\n rajoitteiden\n resurssienkäyttö\n resurssit\n@@ -274,8 +299,12 @@ salausratkaisun\n salli\n sallittu\n selaamiseen\n+selailla\n+selailu\n selain\n selainta\n+selatessa\n+siirto\n sisään\n sisäänkirjauksen\n sisällön\n@@ -336,6 +365,7 @@ tilan\n tilankäyttö\n tilapäinen\n tilapäisesti\n+toiseen\n toteuttaa\n tueta\n tuettu\n@@ -358,8 +388,10 @@ uusi\n uusia\n vaatii\n vähintään\n+vaihto\n väliaikaiseen\n valikossa\n+valinnan\n valinnat\n valitse\n valittu\ndiff --git a/CHANGELOG.md b/CHANGELOG.md\nindex 4a588edb..94ec91a1 100644\n--- a/CHANGELOG.md\n+++ b/CHANGELOG.md\n@@ -6,6 +6,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0\n \n ## [Unreleased]\n \n+### Added\n+\n+- (GH #468) add support for project isolation for projects marked as restricted\n+ - discovery for restricted projects pending, implemented logic only for now\n+ - foced restricted mode can be configured on\n+\n+\n ## [v2.0.0]\n \n ### Added\ndiff --git a/swift_browser_ui/ui/api.py b/swift_browser_ui/ui/api.py\nindex 333bb818..a5402619 100644\n--- a/swift_browser_ui/ui/api.py\n+++ b/swift_browser_ui/ui/api.py\n@@ -37,7 +37,14 @@ async def os_list_projects(request: aiohttp.web.Request) -> aiohttp.web.Response\n )\n # Filter out the tokens contained in session token\n return aiohttp.web.json_response(\n- [{\"name\": v[\"name\"], \"id\": v[\"id\"]} for _, v in session[\"projects\"].items()]\n+ [\n+ {\n+ \"name\": v[\"name\"],\n+ \"id\": v[\"id\"],\n+ \"tainted\": v[\"tainted\"],\n+ }\n+ for _, v in session[\"projects\"].items()\n+ ]\n )\n \n \ndiff --git a/swift_browser_ui/ui/front.py b/swift_browser_ui/ui/front.py\nindex 67342312..ce7ee52f 100644\n--- a/swift_browser_ui/ui/front.py\n+++ b/swift_browser_ui/ui/front.py\n@@ -22,6 +22,18 @@ async def browse(_: aiohttp.web.Request) -> aiohttp.web.FileResponse:\n )\n \n \n+async def select(_: aiohttp.web.Request) -> aiohttp.web.FileResponse:\n+ \"\"\"Serve a project selection for users with tainted projects.\"\"\"\n+ return aiohttp.web.FileResponse(\n+ str(setd[\"static_directory\"]) + \"/select.html\",\n+ headers={\n+ \"Cache-Control\": \"no-cache, no-store, must-revalidate\",\n+ \"Pragma\": \"no-cache\",\n+ \"Expires\": \"0\",\n+ },\n+ )\n+\n+\n async def index(\n request: typing.Optional[aiohttp.web.Request],\n ) -> typing.Union[aiohttp.web.Response, aiohttp.web.FileResponse]:\ndiff --git a/swift_browser_ui/ui/login.py b/swift_browser_ui/ui/login.py\nindex 2bea8d7d..58726639 100644\n--- a/swift_browser_ui/ui/login.py\n+++ b/swift_browser_ui/ui/login.py\n@@ -186,6 +186,8 @@ async def login_with_token(\n session[\"referer\"] = request.url.host\n uname = \"\"\n \n+ taint = True if setd[\"force_restricted_mode\"] else False\n+\n # Check token availability\n avail = await get_availability_from_token(token, client)\n session[\"projects\"] = {}\n@@ -242,12 +244,23 @@ async def login_with_token(\n \"name\": project[\"name\"],\n \"endpoint\": endpoint[\"url\"],\n \"token\": scoped,\n+ \"tainted\": True if setd[\"force_restricted_mode\"] else False,\n }\n \n session[\"token\"] = token\n session[\"uname\"] = uname\n \n+ if taint:\n+ session[\"taint\"] = True\n+ else:\n+ session[\"taint\"] = False\n+\n session.changed()\n+\n+ if taint:\n+ response.headers[\"Location\"] = \"/select\"\n+ return response\n+\n # Redirect to the browse page\n if \"NAV_TO\" in request.cookies.keys():\n response.headers[\"Location\"] = request.cookies[\"NAV_TO\"]\n@@ -258,6 +271,50 @@ async def login_with_token(\n return response\n \n \n+async def handle_project_lock(request: aiohttp.web.Request) -> aiohttp.web.Response:\n+ \"\"\"Lock down to a specific project.\"\"\"\n+ log = request.app[\"Log\"]\n+ log.info(\"Call for locking down the project.\")\n+\n+ session = await aiohttp_session.get_session(request)\n+\n+ project = request.match_info[\"project\"]\n+\n+ # Ditch all projects that aren't the one specified if project is defined\n+ if project in session[\"projects\"]:\n+ session[\"projects\"] = {\n+ k: v\n+ for k, v in filter(\n+ lambda val: val[0] == project,\n+ session[\"projects\"].items(),\n+ )\n+ }\n+ # If the project doesn't exist, allow all untainted projects\n+ else:\n+ session[\"projects\"] = {\n+ k: v\n+ for k, v in filter(\n+ lambda val: not val[1][\"tainted\"], session[\"projects\"].items()\n+ )\n+ }\n+\n+ if not session[\"projects\"]:\n+ session.invalidate()\n+ raise aiohttp.web.HTTPForbidden(reason=\"No untainted projects available.\")\n+\n+ # The session is no longer tainted if it's been locked\n+ session[\"taint\"] = False\n+\n+ session.changed()\n+ return aiohttp.web.Response(\n+ status=303,\n+ body=None,\n+ headers={\n+ \"Location\": \"/browse\",\n+ },\n+ )\n+\n+\n async def handle_logout(request: aiohttp.web.Request) -> aiohttp.web.Response:\n \"\"\"Properly kill the session for the user.\"\"\"\n log = request.app[\"Log\"]\ndiff --git a/swift_browser_ui/ui/middlewares.py b/swift_browser_ui/ui/middlewares.py\nindex dbb2ba56..8b17ac90 100644\n--- a/swift_browser_ui/ui/middlewares.py\n+++ b/swift_browser_ui/ui/middlewares.py\n@@ -9,6 +9,7 @@ import aiohttp_session\n \n from swift_browser_ui.ui.settings import setd\n \n+\n AiohttpHandler = typing.Callable[\n [web.Request], typing.Coroutine[typing.Awaitable, typing.Any, web.Response]\n ]\n@@ -46,6 +47,30 @@ async def check_session_at(\n return await handler(request)\n \n \n+@web.middleware\n+async def check_session_taintness(\n+ request: web.Request,\n+ handler: AiohttpHandler,\n+) -> web.StreamResponse:\n+ \"\"\"Override tainted sessions with project selection until scoped.\"\"\"\n+ session = await aiohttp_session.get_session(request)\n+ if (\n+ \"taint\" in session\n+ and session[\"taint\"]\n+ and \"select\" not in request.path\n+ and \"projects\" not in request.path\n+ and \"lock\" not in request.path\n+ and \"static\" not in request.path\n+ ):\n+ return web.Response(\n+ status=303,\n+ headers={\n+ \"Location\": \"/select\",\n+ },\n+ )\n+ return await handler(request)\n+\n+\n @web.middleware\n async def error_middleware(request: web.Request, handler: AiohttpHandler) -> web.Response:\n \"\"\"Return the correct HTTP Error page.\"\"\"\ndiff --git a/swift_browser_ui/ui/server.py b/swift_browser_ui/ui/server.py\nindex 6b549fa7..5e69e311 100644\n--- a/swift_browser_ui/ui/server.py\n+++ b/swift_browser_ui/ui/server.py\n@@ -20,13 +20,14 @@ import aiohttp_session.redis_storage\n \n import aioredis\n \n-from swift_browser_ui.ui.front import index, browse, loginpassword\n+from swift_browser_ui.ui.front import index, browse, loginpassword, select\n from swift_browser_ui.ui.login import (\n handle_login,\n handle_logout,\n sso_query_begin,\n sso_query_end,\n credentials_login_end,\n+ handle_project_lock,\n )\n from swift_browser_ui.ui.api import (\n swift_get_metadata_container,\n@@ -82,6 +83,7 @@ async def servinit(\n middlewares = [\n swift_browser_ui.ui.middlewares.error_middleware,\n swift_browser_ui.ui.middlewares.check_session_at,\n+ swift_browser_ui.ui.middlewares.check_session_taintness,\n ]\n if inject_middleware:\n middlewares = middlewares + inject_middleware\n@@ -136,6 +138,14 @@ async def servinit(\n # Route all URLs prefixed by /browse to the browser page, as this is\n # an spa\n aiohttp.web.get(\"/browse/{tail:.*}\", browse),\n+ aiohttp.web.get(\"/select\", select),\n+ ]\n+ )\n+\n+ # Add lock routes\n+ app.add_routes(\n+ [\n+ aiohttp.web.get(\"/lock/{project}\", handle_project_lock),\n ]\n )\n \ndiff --git a/swift_browser_ui/ui/settings.py b/swift_browser_ui/ui/settings.py\nindex 4596d234..57bbdc0e 100644\n--- a/swift_browser_ui/ui/settings.py\n+++ b/swift_browser_ui/ui/settings.py\n@@ -70,6 +70,7 @@ setd: Dict[str, Union[str, int, None]] = {\n \"has_trust\": environ.get(\"BROWSER_START_HAS_TRUST\", False),\n \"set_origin_address\": environ.get(\"BROWSER_START_SET_ORIGIN_ADDRESS\", None),\n \"os_user_domain\": environ.get(\"OS_USER_DOMAIN_NAME\", \"Default\"),\n+ \"force_restricted_mode\": environ.get(\"SWIFT_UI_FORCE_RESTRICTED_MODE\", False),\n \"logfile\": None,\n \"port\": 8080,\n \"verbose\": False,\ndiff --git a/swift_browser_ui_frontend/src/common/lang.js b/swift_browser_ui_frontend/src/common/lang.js\nindex e908adc8..bfc44ff8 100644\n--- a/swift_browser_ui_frontend/src/common/lang.js\n+++ b/swift_browser_ui_frontend/src/common/lang.js\n@@ -300,6 +300,20 @@ let default_translations = {\n buildingIndex: \"This project has a large number of objects. Please, \" +\n \"wait while the search index is ready, and try again.\",\n },\n+ select: {\n+ heading: \"Select project for logging in\",\n+ description: \"The user account used for logging in contains \" +\n+ \"projects flagged as restricted. The interface scope is limited \" +\n+ \"when a restricted project is opened, i.e. only the restricted \" +\n+ \"project is visible during a restricted session. This means you \" +\n+ \"cannot copy or move items across projects or view items in \" +\n+ \"other projects available to you. Select a project you want to \" +\n+ \"use from the following listing, after selection you will not be \" +\n+ \"able to change the project without logging out. If you want to \" +\n+ \"browse unrestricted projects, use the unrestricted projects \" +\n+ \"button below.\",\n+ unrestricted: \"All unrestricted projects\",\n+ },\n },\n },\n fi: {\n@@ -594,6 +608,19 @@ let default_translations = {\n buildingIndex: \"Tässä projektissa on suuri määrä kohteita. Odota, \" +\n \"kunnes hakuindeksi on valmis, ja yritä uudelleen.\",\n },\n+ select: {\n+ heading: \"Valitse projekti kirjautuaksesi sisään\",\n+ description: \"Käyttäjällä on pääsy rajoitettuihin projekteihin. \" +\n+ \"Selatessa rajoitettua projektia käyttöliittymän pääsy on \" +\n+ \"rajattu, eli vain rajatun projektin sisältö on näkyvissä. \" +\n+ \"Tiedostojen kopiointi ja siirto projektista toiseen, ja \" +\n+ \"muiden projektien sisällön selailu on estetty. Valitse \" +\n+ \"projekti, jota haluat käyttää. Valinnan jälkeen projektin \" +\n+ \"vaihto onnistuu vain kirjautumalla ulos. Mikäli haluat \" + \n+ \"selailla vain rajoittamattomia projekteja, paina \" +\n+ \"rajoittamattomien projektien nappia alla.\",\n+ unrestricted: \"Kaikki rajoittamattomat projektit\",\n+ },\n },\n },\n };\ndiff --git a/swift_browser_ui_frontend/src/entries/select.js b/swift_browser_ui_frontend/src/entries/select.js\nnew file mode 100644\nindex 00000000..4c1d7e6c\n--- /dev/null\n+++ b/swift_browser_ui_frontend/src/entries/select.js\n@@ -0,0 +1,51 @@\n+import Vue from \"vue\";\n+import App from \"@/pages/SelectPage.vue\";\n+import Buefy from \"buefy\";\n+\n+import getLangCookie from \"@/common/conv\";\n+import translations from \"@/common/lang\";\n+\n+import { getProjects } from \"@/common/api\";\n+\n+// Import project css\n+import \"@/css/prod.scss\";\n+\n+import VueI18n from \"vue-i18n\";\n+\n+Vue.use(VueI18n);\n+Vue.use(Buefy);\n+\n+\n+const i18n = new VueI18n({\n+ locale: getLangCookie(),\n+ messages: translations,\n+});\n+\n+new Vue ({\n+ i18n,\n+ data: {\n+ formname: \"Token id:\",\n+ loginformname: \"Openstack account:\",\n+ idb: true,\n+ projects: [],\n+ langs: [{ph: \"In English\", value: \"en\"}, {ph: \"Suomeksi\", value: \"fi\"}],\n+ },\n+ created() {\n+ document.title = this.$t(\"message.program_name\");\n+ this.updateProjects();\n+ },\n+ methods: {\n+ \"updateProjects\": function () {\n+ getProjects().then(ret => this.projects = ret);\n+ },\n+ setCookieLang: function() {\n+ const expiryDate = new Date();\n+ expiryDate.setMonth(expiryDate.getMonth() + 1);\n+ document.cookie = \"OBJ_UI_LANG=\" +\n+ i18n.locale +\n+ \"; path=/; expires=\"\n+ + expiryDate.toUTCString();\n+ },\n+ },\n+ ...App,\n+}).$mount(\"#app\");\ndiff --git a/swift_browser_ui_frontend/src/pages/SelectPage.vue b/swift_browser_ui_frontend/src/pages/SelectPage.vue\nnew file mode 100644\nindex 00000000..939bbbcf\n--- /dev/null\n+++ b/swift_browser_ui_frontend/src/pages/SelectPage.vue\n@@ -0,0 +1,73 @@\n+<template>\n+ <div class=\"selectpage\">\n+ <div class=\"content has-text-centered\">\n+ <h2>{{ $t(\"message.select.heading\" ) }}</h2>\n+ <p class=\"maintext\">\n+ {{ $t(\"message.select.description\") }}\n+ </p>\n+ <p\n+ v-for=\"project in projects.filter(pro => pro.tainted)\"\n+ :key=\"project.id\"\n+ >\n+ <b-button\n+ tag=\"a\"\n+ expanded\n+ :href=\"'/lock/'.concat(project.id)\"\n+ size=\"is-large\"\n+ type=\"is-primary is-outlined\"\n+ >\n+ {{ project.name }}\n+ </b-button>\n+ </p>\n+ <p>\n+ <b-button\n+ tag=\"a\"\n+ expanded\n+ href=\"/lock/none\"\n+ size=\"is-large\"\n+ type=\"is-primary is-outlined\"\n+ >\n+ {{ $t(\"message.select.unrestricted\" ) }}\n+ </b-button>\n+ </p>\n+ <p>\n+ <b-field class=\"locale-changed block center\">\n+ <b-select\n+ v-model=\"$i18n.locale\"\n+ placeholder=\"Language\"\n+ icon=\"earth\"\n+ expanded\n+ @input=\"setCookieLang ()\"\n+ >\n+ <option\n+ v-for=\"lang in langs\"\n+ :key=\"lang.value\"\n+ :value=\"lang.value\"\n+ >\n+ {{ lang.ph }}\n+ </option>\n+ </b-select>\n+ </b-field>\n+ </p>\n+ </div>\n+ </div>\n+</template>\n+\n+<style>\n+html, body {\n+ height: 100%;\n+}\n+.selectpage {\n+ width: 40%;\n+ height: 100%;\n+ display: flex;\n+ flex-direction: column;\n+ margin: auto;\n+ align-content: center;\n+ justify-content: center;;\n+}\n+.center {\n+ width: 50%;\n+ margin: auto;\n+}\n+</style>\ndiff --git a/swift_browser_ui_frontend/vue.config.js b/swift_browser_ui_frontend/vue.config.js\nindex 0ba8009b..0eaeed64 100644\n--- a/swift_browser_ui_frontend/vue.config.js\n+++ b/swift_browser_ui_frontend/vue.config.js\n@@ -17,6 +17,13 @@ module.exports = { // eslint-disable-line\n title: \"Swift browser UI\",\n chunks: [\"chunk-vendors\", \"chunk-common\", \"index\"],\n },\n+ select: {\n+ entry: \"src/entries/select.js\",\n+ template: \"public/select.html\",\n+ filename: \"select.html\",\n+ title: \"Select a project to isolate\",\n+ chunks: [\"chunk-vendors\", \"chunk-common\", \"select\"],\n+ },\n badrequest: {\n entry: \"src/entries/badrequest.js\",\n template: \"public/index.html\",\n"},"problem_statement":{"kind":"string","value":"Support project isolation for token\n#### Proposed solution\r\n<!-- A clear and concise description of what you want to happen. -->\r\nThere should be a possibility to limit project scope when necessary. Some services will require this due to regulation.\r\n\r\n#### DoD (Definition of Done)\r\n<!-- How to know this is implemented. Preferably one short sentence. -->\r\nProject scoping can be configured to limit scope to a single project per session, when necessary.\r\n\r\n#### Testing\r\n<!-- How can someone else verify the task, can be test-suite or something else. -->\r\nUI tests can be written if necessary.\r\n"},"repo":{"kind":"string","value":"CSCfi/swift-browser-ui"},"test_patch":{"kind":"string","value":"diff --git a/tests/common/mockups.py b/tests/common/mockups.py\nindex f2f76f7b..e3177d45 100644\n--- a/tests/common/mockups.py\n+++ b/tests/common/mockups.py\n@@ -32,12 +32,14 @@ class APITestBase(unittest.IsolatedAsyncioTestCase):\n \"name\": \"test-name-0\",\n \"token\": \"test-token-0\",\n \"endpoint\": \"https://test-endpoint-0/v1/AUTH_test-id-0\",\n+ \"tainted\": False,\n },\n \"test-id-1\": {\n \"id\": \"test-id-1\",\n \"name\": \"test-name-1\",\n \"token\": \"test-token-1\",\n \"endpoint\": \"https://test-endpoint-1/v1/AUTH_test-id-1\",\n+ \"tainted\": False,\n },\n }\n self.aiohttp_session_get_session_mock = unittest.mock.AsyncMock()\ndiff --git a/tests/ui_unit/test_api.py b/tests/ui_unit/test_api.py\nindex 1b01ad52..8423e3bb 100644\n--- a/tests/ui_unit/test_api.py\n+++ b/tests/ui_unit/test_api.py\n@@ -35,10 +35,12 @@ class APITestClass(tests.common.mockups.APITestBase):\n {\n \"id\": \"test-id-0\",\n \"name\": \"test-name-0\",\n+ \"tainted\": False,\n },\n {\n \"id\": \"test-id-1\",\n \"name\": \"test-name-1\",\n+ \"tainted\": False,\n },\n ]\n )\ndiff --git a/tests/ui_unit/test_login.py b/tests/ui_unit/test_login.py\nindex 3ffda3b2..d1f8fa1d 100644\n--- a/tests/ui_unit/test_login.py\n+++ b/tests/ui_unit/test_login.py\n@@ -197,6 +197,7 @@ class LoginTestClass(tests.common.mockups.APITestBase):\n \"\"\"\n self.setd_mock[\"session_lifetime\"] = 28800\n self.setd_mock[\"history_lifetime\"] = 2592000\n+ self.setd_mock[\"force_restricted_mode\"] = False\n self.setd_mock[\"swift_endpoint_url\"] = (\"http://obj.exampleosep.com:443/v1\",)\n patch1 = unittest.mock.patch(\n \"swift_browser_ui.ui.login.setd\",\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"head_commit\",\n \"failed_lite_validators\": [\n \"has_added_files\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 2,\n \"test_score\": 2\n },\n \"num_modified_files\": 10\n}"},"version":{"kind":"string","value":"1.1"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[test,docs,ui_test]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"requirements.txt\",\n \"pip_packages\": [\n \"pytest\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"coveragepy-lcov\"\n ],\n \"pre_install\": [\n \"apt-get update\",\n \"apt-get install -y gcc\"\n ],\n \"python\": \"3.9\",\n \"reqs_path\": [\n \"requirements.txt\"\n ],\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"aiohttp==3.8.1\naiohttp-session==2.11.0\naioredis==2.0.1\naiosignal==1.3.2\nalabaster==0.7.16\nasync-timeout==4.0.3\nasyncpg==0.25.0\nattrs==25.3.0\nbabel==2.17.0\nblack==22.1.0\ncertifi==2021.10.8\ncffi==1.17.1\ncharset-normalizer==2.1.1\nclick==8.0.4\ncoverage==6.3.2\ncoveragepy-lcov==0.1.2\ncryptography==36.0.1\ndistlib==0.3.9\ndocutils==0.17.1\nexceptiongroup==1.2.2\nexecnet==2.1.1\nfilelock==3.18.0\nflake8==4.0.1\nflake8-docstrings==1.6.0\nfrozenlist==1.5.0\ngunicorn==23.0.0\nidna==3.10\nimagesize==1.4.1\nimportlib_metadata==8.6.1\niniconfig==2.1.0\niso8601==2.1.0\nJinja2==3.1.6\nkeystoneauth1==4.4.0\nMarkupSafe==3.0.2\nmccabe==0.6.1\nmultidict==6.2.0\nmypy-extensions==1.0.0\nos-service-types==1.7.0\npackaging==24.2\npathspec==0.12.1\npbr==6.1.1\nplatformdirs==4.3.7\npluggy==1.5.0\npropcache==0.3.1\npy==1.11.0\npycodestyle==2.8.0\npycparser==2.22\npydocstyle==6.3.0\npyflakes==2.4.0\nPygments==2.19.1\npytest==7.0.1\npytest-cov==3.0.0\npytest-forked==1.6.0\npytest-timeout==2.1.0\npytest-xdist==2.5.0\npython-swiftclient==3.13.1\nrequests==2.32.3\nsix==1.17.0\nsnowballstemmer==2.2.0\nSphinx==4.4.0\nsphinx-rtd-theme==1.0.0\nsphinxcontrib-applehelp==2.0.0\nsphinxcontrib-devhelp==2.0.0\nsphinxcontrib-htmlhelp==2.1.0\nsphinxcontrib-jsmath==1.0.1\nsphinxcontrib-qthelp==2.0.0\nsphinxcontrib-serializinghtml==2.0.0\nstevedore==5.4.1\n-e git+https://github.com/CSCfi/swift-browser-ui.git@26a360f4c39d0c2161c9651554090a9610d4cbce#egg=swift_browser_ui\ntoml==0.10.2\ntomli==2.2.1\ntox==3.24.5\ntyping_extensions==4.13.0\nurllib3==2.3.0\nuvloop==0.16.0\nvirtualenv==20.29.3\nyarl==1.18.3\nzipp==3.21.0\n"},"environment":{"kind":"string","value":"name: swift-browser-ui\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - pip=25.0=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - tzdata=2025a=h04d1e81_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - aiohttp==3.8.1\n - aiohttp-session==2.11.0\n - aioredis==2.0.1\n - aiosignal==1.3.2\n - alabaster==0.7.16\n - async-timeout==4.0.3\n - asyncpg==0.25.0\n - attrs==25.3.0\n - babel==2.17.0\n - black==22.1.0\n - certifi==2021.10.8\n - cffi==1.17.1\n - charset-normalizer==2.1.1\n - click==8.0.4\n - coverage==6.3.2\n - coveragepy-lcov==0.1.2\n - cryptography==36.0.1\n - distlib==0.3.9\n - docutils==0.17.1\n - exceptiongroup==1.2.2\n - execnet==2.1.1\n - filelock==3.18.0\n - flake8==4.0.1\n - flake8-docstrings==1.6.0\n - frozenlist==1.5.0\n - gunicorn==23.0.0\n - idna==3.10\n - imagesize==1.4.1\n - importlib-metadata==8.6.1\n - iniconfig==2.1.0\n - iso8601==2.1.0\n - jinja2==3.1.6\n - keystoneauth1==4.4.0\n - markupsafe==3.0.2\n - mccabe==0.6.1\n - multidict==6.2.0\n - mypy-extensions==1.0.0\n - os-service-types==1.7.0\n - packaging==24.2\n - pathspec==0.12.1\n - pbr==6.1.1\n - platformdirs==4.3.7\n - pluggy==1.5.0\n - propcache==0.3.1\n - py==1.11.0\n - pycodestyle==2.8.0\n - pycparser==2.22\n - pydocstyle==6.3.0\n - pyflakes==2.4.0\n - pygments==2.19.1\n - pytest==7.0.1\n - pytest-cov==3.0.0\n - pytest-forked==1.6.0\n - pytest-timeout==2.1.0\n - pytest-xdist==2.5.0\n - python-swiftclient==3.13.1\n - requests==2.32.3\n - six==1.17.0\n - snowballstemmer==2.2.0\n - sphinx==4.4.0\n - sphinx-rtd-theme==1.0.0\n - sphinxcontrib-applehelp==2.0.0\n - sphinxcontrib-devhelp==2.0.0\n - sphinxcontrib-htmlhelp==2.1.0\n - sphinxcontrib-jsmath==1.0.1\n - sphinxcontrib-qthelp==2.0.0\n - sphinxcontrib-serializinghtml==2.0.0\n - stevedore==5.4.1\n - toml==0.10.2\n - tomli==2.2.1\n - tox==3.24.5\n - typing-extensions==4.13.0\n - urllib3==2.3.0\n - uvloop==0.16.0\n - virtualenv==20.29.3\n - yarl==1.18.3\n - zipp==3.21.0\nprefix: /opt/conda/envs/swift-browser-ui\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/ui_unit/test_api.py::APITestClass::test_os_list_projects"],"string":"[\n \"tests/ui_unit/test_api.py::APITestClass::test_os_list_projects\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/ui_unit/test_api.py::APITestClass::test_add_project_container_acl","tests/ui_unit/test_api.py::APITestClass::test_batch_swift_update_object_metadata","tests/ui_unit/test_api.py::APITestClass::test_batch_swift_update_object_metadata_no_objects","tests/ui_unit/test_api.py::APITestClass::test_get_access_control_metadata","tests/ui_unit/test_api.py::APITestClass::test_get_os_user","tests/ui_unit/test_api.py::APITestClass::test_remove_container_acl","tests/ui_unit/test_api.py::APITestClass::test_remove_project_container_acl","tests/ui_unit/test_api.py::APITestClass::test_swift_batch_get_object_meta","tests/ui_unit/test_api.py::APITestClass::test_swift_batch_get_object_meta_through_container","tests/ui_unit/test_api.py::APITestClass::test_swift_create_container","tests/ui_unit/test_api.py::APITestClass::test_swift_delete_container","tests/ui_unit/test_api.py::APITestClass::test_swift_delete_containers_to_objects","tests/ui_unit/test_api.py::APITestClass::test_swift_delete_objects","tests/ui_unit/test_api.py::APITestClass::test_swift_delete_objects_toomany","tests/ui_unit/test_api.py::APITestClass::test_swift_download_object","tests/ui_unit/test_api.py::APITestClass::test_swift_get_container_acl_wrapper","tests/ui_unit/test_api.py::APITestClass::test_swift_get_container_meta","tests/ui_unit/test_api.py::APITestClass::test_swift_get_met_wrapper","tests/ui_unit/test_api.py::APITestClass::test_swift_get_meta_fail","tests/ui_unit/test_api.py::APITestClass::test_swift_get_project_metadata","tests/ui_unit/test_api.py::APITestClass::test_swift_get_project_metadata_fail","tests/ui_unit/test_api.py::APITestClass::test_swift_get_shared_container_address","tests/ui_unit/test_api.py::APITestClass::test_swift_list_containers","tests/ui_unit/test_api.py::APITestClass::test_swift_list_containers_fail_ostack","tests/ui_unit/test_api.py::APITestClass::test_swift_list_containers_no_access","tests/ui_unit/test_api.py::APITestClass::test_swift_list_objects","tests/ui_unit/test_api.py::APITestClass::test_swift_update_container_metadata","tests/ui_unit/test_api.py::APITestClass::test_swift_update_object_meta_wrapper","tests/ui_unit/test_api.py::APITestClass::test_swift_update_object_metadata_via_container","tests/ui_unit/test_api.py::ProxyFunctionsTestClass::test_get_upload_session","tests/ui_unit/test_api.py::ProxyFunctionsTestClass::test_swift_download_container","tests/ui_unit/test_api.py::ProxyFunctionsTestClass::test_swift_download_share_object","tests/ui_unit/test_api.py::ProxyFunctionsTestClass::test_swift_replicate_container","tests/ui_unit/test_login.py::LoginTestClass::test_credentials_login_end","tests/ui_unit/test_login.py::LoginTestClass::test_handle_login","tests/ui_unit/test_login.py::LoginTestClass::test_handle_logout","tests/ui_unit/test_login.py::LoginTestClass::test_login_with_token","tests/ui_unit/test_login.py::LoginTestClass::test_sso_query_begin_with_trust","tests/ui_unit/test_login.py::LoginTestClass::test_sso_query_begin_without_trust","tests/ui_unit/test_login.py::LoginTestClass::test_sso_query_end","tests/ui_unit/test_login.py::LoginTestClass::test_test_token"],"string":"[\n \"tests/ui_unit/test_api.py::APITestClass::test_add_project_container_acl\",\n \"tests/ui_unit/test_api.py::APITestClass::test_batch_swift_update_object_metadata\",\n \"tests/ui_unit/test_api.py::APITestClass::test_batch_swift_update_object_metadata_no_objects\",\n \"tests/ui_unit/test_api.py::APITestClass::test_get_access_control_metadata\",\n \"tests/ui_unit/test_api.py::APITestClass::test_get_os_user\",\n \"tests/ui_unit/test_api.py::APITestClass::test_remove_container_acl\",\n \"tests/ui_unit/test_api.py::APITestClass::test_remove_project_container_acl\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_batch_get_object_meta\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_batch_get_object_meta_through_container\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_create_container\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_delete_container\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_delete_containers_to_objects\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_delete_objects\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_delete_objects_toomany\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_download_object\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_get_container_acl_wrapper\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_get_container_meta\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_get_met_wrapper\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_get_meta_fail\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_get_project_metadata\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_get_project_metadata_fail\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_get_shared_container_address\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_list_containers\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_list_containers_fail_ostack\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_list_containers_no_access\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_list_objects\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_update_container_metadata\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_update_object_meta_wrapper\",\n \"tests/ui_unit/test_api.py::APITestClass::test_swift_update_object_metadata_via_container\",\n \"tests/ui_unit/test_api.py::ProxyFunctionsTestClass::test_get_upload_session\",\n \"tests/ui_unit/test_api.py::ProxyFunctionsTestClass::test_swift_download_container\",\n \"tests/ui_unit/test_api.py::ProxyFunctionsTestClass::test_swift_download_share_object\",\n \"tests/ui_unit/test_api.py::ProxyFunctionsTestClass::test_swift_replicate_container\",\n \"tests/ui_unit/test_login.py::LoginTestClass::test_credentials_login_end\",\n \"tests/ui_unit/test_login.py::LoginTestClass::test_handle_login\",\n \"tests/ui_unit/test_login.py::LoginTestClass::test_handle_logout\",\n \"tests/ui_unit/test_login.py::LoginTestClass::test_login_with_token\",\n \"tests/ui_unit/test_login.py::LoginTestClass::test_sso_query_begin_with_trust\",\n \"tests/ui_unit/test_login.py::LoginTestClass::test_sso_query_begin_without_trust\",\n \"tests/ui_unit/test_login.py::LoginTestClass::test_sso_query_end\",\n \"tests/ui_unit/test_login.py::LoginTestClass::test_test_token\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"MIT License"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":498,"cells":{"instance_id":{"kind":"string","value":"CTFd__ctfcli-148"},"base_commit":{"kind":"string","value":"26bcec897fcc1f5f23c8117e2a225a130a8b0dea"},"created_at":{"kind":"string","value":"2024-03-07 11:52:44"},"environment_setup_commit":{"kind":"string","value":"704a86447656564369e41881af1f692d45cf4f40"},"hints_text":{"kind":"string","value":"ColdHeat: Pardon my ignorance here but I don't see what the point is of the `--load` switch? Do you want to have the image output as a tar file? \r\n\r\nAdditional arguments could be good but I think it would need to be generic. Perhaps something like `--extra-args=\"--switch1=123\"`\npl4nty: `--load` loads the image into local storage. same as current behaviour, because the `docker` driver implicitly uses `--load` if no output is specified (for backwards compat). but other drivers require an explicit output argument, and will fail at the moment.\r\n\r\ngeneric arguments sound great, I'm happy to send another PR if you'd like."},"patch":{"kind":"string","value":"diff --git a/ctfcli/cli/challenges.py b/ctfcli/cli/challenges.py\nindex b56525c..51755e6 100644\n--- a/ctfcli/cli/challenges.py\n+++ b/ctfcli/cli/challenges.py\n@@ -1,3 +1,4 @@\n+import contextlib\n import logging\n import os\n import subprocess\n@@ -203,167 +204,253 @@ class ChallengeCommand:\n click.secho(f\"Could not process the challenge path: '{repo}'\", fg=\"red\")\n return 1\n \n- def push(self, challenge: str = None) -> int:\n+ def push(self, challenge: str = None, no_auto_pull: bool = False, quiet=False) -> int:\n log.debug(f\"push: (challenge={challenge})\")\n config = Config()\n \n- challenge_path = Path.cwd()\n if challenge:\n- challenge_path = config.project_path / Path(challenge)\n+ challenge_instance = self._resolve_single_challenge(challenge)\n+ if not challenge_instance:\n+ return 1\n \n- # Get a relative path from project root to the challenge\n- # As this is what git subtree push requires\n- challenge_path = challenge_path.relative_to(config.project_path)\n- challenge_repo = config.challenges.get(str(challenge_path), None)\n+ challenges = [challenge_instance]\n+ else:\n+ challenges = self._resolve_all_challenges()\n \n- # if we don't find the challenge by the directory,\n- # check if it's saved with a direct path to challenge.yml\n- if not challenge_repo:\n- challenge_repo = config.challenges.get(str(challenge_path / \"challenge.yml\"), None)\n+ failed_pushes = []\n \n- if not challenge_repo:\n- click.secho(\n- f\"Could not find added challenge '{challenge_path}' \"\n- \"Please check that the challenge is added to .ctf/config and that your path matches\",\n- fg=\"red\",\n- )\n- return 1\n+ if quiet or len(challenges) <= 1:\n+ context = contextlib.nullcontext(challenges)\n+ else:\n+ context = click.progressbar(challenges, label=\"Pushing challenges\")\n \n- if not challenge_repo.endswith(\".git\"):\n- click.secho(\n- f\"Cannot push challenge '{challenge_path}', as it's not a git-based challenge\",\n- fg=\"yellow\",\n- )\n- return 1\n+ with context as context_challenges:\n+ for challenge_instance in context_challenges:\n+ click.echo()\n \n- head_branch = get_git_repo_head_branch(challenge_repo)\n+ # Get a relative path from project root to the challenge\n+ # As this is what git subtree push requires\n+ challenge_path = challenge_instance.challenge_directory.resolve().relative_to(config.project_path)\n+ challenge_repo = config.challenges.get(str(challenge_path), None)\n \n- log.debug(f\"call(['git', 'add', '.'], cwd='{config.project_path / challenge_path}')\")\n- git_add = subprocess.call([\"git\", \"add\", \".\"], cwd=config.project_path / challenge_path)\n+ # if we don't find the challenge by the directory,\n+ # check if it's saved with a direct path to challenge.yml\n+ if not challenge_repo:\n+ challenge_repo = config.challenges.get(str(challenge_path / \"challenge.yml\"), None)\n \n- log.debug(\n- f\"call(['git', 'commit', '-m', 'Pushing changes to {challenge_path}'], \"\n- f\"cwd='{config.project_path / challenge_path}')\"\n- )\n- git_commit = subprocess.call(\n- [\"git\", \"commit\", \"-m\", f\"Pushing changes to {challenge_path}\"],\n- cwd=config.project_path / challenge_path,\n- )\n+ if not challenge_repo:\n+ click.secho(\n+ f\"Could not find added challenge '{challenge_path}' \"\n+ \"Please check that the challenge is added to .ctf/config and that your path matches\",\n+ fg=\"red\",\n+ )\n+ failed_pushes.append(challenge_instance)\n+ continue\n \n- if any(r != 0 for r in [git_add, git_commit]):\n- click.secho(\n- \"Could not commit the challenge changes. \" \"Please check git error messages above.\",\n- fg=\"red\",\n- )\n- return 1\n+ if not challenge_repo.endswith(\".git\"):\n+ click.secho(\n+ f\"Cannot push challenge '{challenge_path}', as it's not a git-based challenge\",\n+ fg=\"yellow\",\n+ )\n+ failed_pushes.append(challenge_instance)\n+ continue\n \n- log.debug(\n- f\"call(['git', 'subtree', 'push', '--prefix', '{challenge_path}', '{challenge_repo}', '{head_branch}'], \"\n- f\"cwd='{config.project_path / challenge_path}')\"\n- )\n- git_subtree_push = subprocess.call(\n- [\n- \"git\",\n- \"subtree\",\n- \"push\",\n- \"--prefix\",\n- challenge_path,\n- challenge_repo,\n- head_branch,\n- ],\n- cwd=config.project_path,\n- )\n+ click.secho(f\"Pushing '{challenge_path}' to '{challenge_repo}'\", fg=\"blue\")\n+ head_branch = get_git_repo_head_branch(challenge_repo)\n \n- if git_subtree_push != 0:\n- click.secho(\n- \"Could not push the challenge subtree. \" \"Please check git error messages above.\",\n- fg=\"red\",\n- )\n- return 1\n+ log.debug(\n+ f\"call(['git', 'status', '--porcelain'], cwd='{config.project_path / challenge_path}',\"\n+ f\" stdout=subprocess.PIPE, text=True)\"\n+ )\n+ git_status = subprocess.run(\n+ [\"git\", \"status\", \"--porcelain\"],\n+ cwd=config.project_path / challenge_path,\n+ stdout=subprocess.PIPE,\n+ text=True,\n+ )\n \n- return 0\n+ if git_status.stdout.strip() == \"\" and git_status.returncode == 0:\n+ click.secho(f\"No changes to be pushed for {challenge_path}\", fg=\"green\")\n+ continue\n+\n+ log.debug(f\"call(['git', 'add', '.'], cwd='{config.project_path / challenge_path}')\")\n+ git_add = subprocess.call([\"git\", \"add\", \".\"], cwd=config.project_path / challenge_path)\n+\n+ log.debug(\n+ f\"call(['git', 'commit', '-m', 'Pushing changes to {challenge_path}'], \"\n+ f\"cwd='{config.project_path / challenge_path}')\"\n+ )\n+ git_commit = subprocess.call(\n+ [\"git\", \"commit\", \"-m\", f\"Pushing changes to {challenge_path}\"],\n+ cwd=config.project_path / challenge_path,\n+ )\n+\n+ if any(r != 0 for r in [git_add, git_commit]):\n+ click.secho(\n+ \"Could not commit the challenge changes. \" \"Please check git error messages above.\",\n+ fg=\"red\",\n+ )\n+ failed_pushes.append(challenge_instance)\n+ continue\n+\n+ log.debug(\n+ f\"call(['git', 'subtree', 'push', '--prefix', '{challenge_path}', '{challenge_repo}', \"\n+ f\"'{head_branch}'], cwd='{config.project_path / challenge_path}')\"\n+ )\n+ git_subtree_push = subprocess.call(\n+ [\n+ \"git\",\n+ \"subtree\",\n+ \"push\",\n+ \"--prefix\",\n+ challenge_path,\n+ challenge_repo,\n+ head_branch,\n+ ],\n+ cwd=config.project_path,\n+ )\n+\n+ if git_subtree_push != 0:\n+ click.secho(\n+ \"Could not push the challenge subtree. \" \"Please check git error messages above.\",\n+ fg=\"red\",\n+ )\n+ failed_pushes.append(challenge_instance)\n+ continue\n+\n+ # if auto pull is not disabled\n+ if not no_auto_pull:\n+ self.pull(str(challenge_path), quiet=True)\n \n- def pull(self, challenge: str = None) -> int:\n+ if len(failed_pushes) == 0:\n+ if not quiet:\n+ click.secho(\"Success! All challenges pushed!\", fg=\"green\")\n+\n+ return 0\n+\n+ if not quiet:\n+ click.secho(\"Push failed for:\", fg=\"red\")\n+ for challenge in failed_pushes:\n+ click.echo(f\" - {challenge}\")\n+\n+ return 1\n+\n+ def pull(self, challenge: str = None, quiet=False) -> int:\n log.debug(f\"pull: (challenge={challenge})\")\n config = Config()\n \n- challenge_path = Path.cwd()\n if challenge:\n- challenge_path = config.project_path / Path(challenge)\n+ challenge_instance = self._resolve_single_challenge(challenge)\n+ if not challenge_instance:\n+ return 1\n \n- # Get a relative path from project root to the challenge\n- # As this is what git subtree push requires\n- challenge_path = challenge_path.relative_to(config.project_path)\n- challenge_repo = config.challenges.get(str(challenge_path), None)\n+ challenges = [challenge_instance]\n+ else:\n+ challenges = self._resolve_all_challenges()\n \n- # if we don't find the challenge by the directory,\n- # check if it's saved with a direct path to challenge.yml\n- if not challenge_repo:\n- challenge_repo = config.challenges.get(str(challenge_path / \"challenge.yml\"), None)\n+ if quiet or len(challenges) <= 1:\n+ context = contextlib.nullcontext(challenges)\n+ else:\n+ context = click.progressbar(challenges, label=\"Pulling challenges\")\n \n- if not challenge_repo:\n- click.secho(\n- f\"Could not find added challenge '{challenge_path}' \"\n- \"Please check that the challenge is added to .ctf/config and that your path matches\",\n- fg=\"red\",\n- )\n- return 1\n+ failed_pulls = []\n+ with context as context_challenges:\n+ for challenge_instance in context_challenges:\n+ click.echo()\n \n- if not challenge_repo.endswith(\".git\"):\n- click.secho(\n- f\"Cannot pull challenge '{challenge_path}', as it's not a git-based challenge\",\n- fg=\"yellow\",\n- )\n- return 1\n+ # Get a relative path from project root to the challenge\n+ # As this is what git subtree push requires\n+ challenge_path = challenge_instance.challenge_directory.resolve().relative_to(config.project_path)\n+ challenge_repo = config.challenges.get(str(challenge_path), None)\n \n- click.secho(f\"Pulling latest '{challenge_repo}' to '{challenge_path}'\", fg=\"blue\")\n- head_branch = get_git_repo_head_branch(challenge_repo)\n+ # if we don't find the challenge by the directory,\n+ # check if it's saved with a direct path to challenge.yml\n+ if not challenge_repo:\n+ challenge_repo = config.challenges.get(str(challenge_path / \"challenge.yml\"), None)\n \n- log.debug(\n- f\"call(['git', 'subtree', 'pull', '--prefix', '{challenge_path}', \"\n- f\"'{challenge_repo}', '{head_branch}', '--squash'], cwd='{config.project_path}')\"\n- )\n- git_subtree_pull = subprocess.call(\n- [\n- \"git\",\n- \"subtree\",\n- \"pull\",\n- \"--prefix\",\n- challenge_path,\n- challenge_repo,\n- head_branch,\n- \"--squash\",\n- ],\n- cwd=config.project_path,\n- )\n+ if not challenge_repo:\n+ click.secho(\n+ f\"Could not find added challenge '{challenge_path}' \"\n+ \"Please check that the challenge is added to .ctf/config and that your path matches\",\n+ fg=\"red\",\n+ )\n+ failed_pulls.append(challenge_instance)\n+ continue\n \n- if git_subtree_pull != 0:\n- click.secho(\n- f\"Could not pull the subtree for challenge '{challenge_path}'. \"\n- \"Please check git error messages above.\",\n- fg=\"red\",\n- )\n- return 1\n+ if not challenge_repo.endswith(\".git\"):\n+ click.secho(\n+ f\"Cannot pull challenge '{challenge_path}', as it's not a git-based challenge\",\n+ fg=\"yellow\",\n+ )\n+ failed_pulls.append(challenge_instance)\n+ continue\n \n- log.debug(f\"call(['git', 'mergetool'], cwd='{config.project_path / challenge_path}')\")\n- git_mergetool = subprocess.call([\"git\", \"mergetool\"], cwd=config.project_path / challenge_path)\n+ click.secho(f\"Pulling latest '{challenge_repo}' to '{challenge_path}'\", fg=\"blue\")\n+ head_branch = get_git_repo_head_branch(challenge_repo)\n \n- log.debug(f\"call(['git', 'clean', '-f'], cwd='{config.project_path / challenge_path}')\")\n- git_clean = subprocess.call([\"git\", \"clean\", \"-f\"], cwd=config.project_path / challenge_path)\n+ log.debug(\n+ f\"call(['git', 'subtree', 'pull', '--prefix', '{challenge_path}', \"\n+ f\"'{challenge_repo}', '{head_branch}', '--squash'], cwd='{config.project_path}')\"\n+ )\n \n- log.debug(f\"call(['git', 'commit', '--no-edit'], cwd='{config.project_path / challenge_path}')\")\n- subprocess.call([\"git\", \"commit\", \"--no-edit\"], cwd=config.project_path / challenge_path)\n+ pull_env = os.environ.copy()\n+ pull_env[\"GIT_MERGE_AUTOEDIT\"] = \"no\"\n+\n+ git_subtree_pull = subprocess.call(\n+ [\n+ \"git\",\n+ \"subtree\",\n+ \"pull\",\n+ \"--prefix\",\n+ challenge_path,\n+ challenge_repo,\n+ head_branch,\n+ \"--squash\",\n+ ],\n+ cwd=config.project_path,\n+ env=pull_env,\n+ )\n \n- # git commit is allowed to return a non-zero code because it would also mean that there's nothing to commit\n- if any(r != 0 for r in [git_mergetool, git_clean]):\n- click.secho(\n- f\"Could not commit the subtree for challenge '{challenge_path}'. \"\n- \"Please check git error messages above.\",\n- fg=\"red\",\n- )\n- return 1\n+ if git_subtree_pull != 0:\n+ click.secho(\n+ f\"Could not pull the subtree for challenge '{challenge_path}'. \"\n+ \"Please check git error messages above.\",\n+ fg=\"red\",\n+ )\n+ failed_pulls.append(challenge_instance)\n+ continue\n \n- return 0\n+ log.debug(f\"call(['git', 'mergetool'], cwd='{config.project_path / challenge_path}')\")\n+ git_mergetool = subprocess.call([\"git\", \"mergetool\"], cwd=config.project_path / challenge_path)\n+\n+ log.debug(f\"call(['git', 'commit', '--no-edit'], cwd='{config.project_path / challenge_path}')\")\n+ subprocess.call([\"git\", \"commit\", \"--no-edit\"], cwd=config.project_path / challenge_path)\n+\n+ log.debug(f\"call(['git', 'clean', '-f'], cwd='{config.project_path / challenge_path}')\")\n+ git_clean = subprocess.call([\"git\", \"clean\", \"-f\"], cwd=config.project_path / challenge_path)\n+\n+ # git commit is allowed to return a non-zero code\n+ # because it would also mean that there's nothing to commit\n+ if any(r != 0 for r in [git_mergetool, git_clean]):\n+ click.secho(\n+ f\"Could not commit the subtree for challenge '{challenge_path}'. \"\n+ \"Please check git error messages above.\",\n+ fg=\"red\",\n+ )\n+ failed_pulls.append(challenge_instance)\n+ continue\n+\n+ if len(failed_pulls) == 0:\n+ if not quiet:\n+ click.secho(\"Success! All challenges pulled!\", fg=\"green\")\n+ return 0\n+\n+ if not quiet:\n+ click.secho(\"Pull failed for:\", fg=\"red\")\n+ for challenge in failed_pulls:\n+ click.echo(f\" - {challenge}\")\n+\n+ return 1\n \n def restore(self, challenge: str = None) -> int:\n log.debug(f\"restore: (challenge={challenge})\")\ndiff --git a/ctfcli/core/image.py b/ctfcli/core/image.py\nindex e66e6e7..025187f 100644\n--- a/ctfcli/core/image.py\n+++ b/ctfcli/core/image.py\n@@ -24,7 +24,9 @@ class Image:\n self.built = False\n \n def build(self) -> Optional[str]:\n- docker_build = subprocess.call([\"docker\", \"build\", \"-t\", self.name, \".\"], cwd=self.build_path.absolute())\n+ docker_build = subprocess.call(\n+ [\"docker\", \"build\", \"--load\", \"-t\", self.name, \".\"], cwd=self.build_path.absolute()\n+ )\n if docker_build != 0:\n return\n \n"},"problem_statement":{"kind":"string","value":"Support Buildkit drivers for image builds\n[Buildkit drivers](https://docs.docker.com/build/drivers/) offer a lot of additional features over the default `docker` driver, like multi-arch images and remote builders.\r\n\r\nThey could be supported by moving tag/push to `docker build --push`, depending on docker buildx which became the default for docker engine in Feb 2023. Buildx/buildkit has other benefits too eg native caching for CI environments, that would be useful to support in a future PR.\r\n\r\nHappy to send a PR for this if you want."},"repo":{"kind":"string","value":"CTFd/ctfcli"},"test_patch":{"kind":"string","value":"diff --git a/tests/core/test_image.py b/tests/core/test_image.py\nindex 2e773f4..8e6ab37 100644\n--- a/tests/core/test_image.py\n+++ b/tests/core/test_image.py\n@@ -56,7 +56,9 @@ class TestImage(unittest.TestCase):\n \n self.assertTrue(image.built)\n self.assertEqual(image_name, \"test-challenge\")\n- mock_call.assert_called_once_with([\"docker\", \"build\", \"-t\", \"test-challenge\", \".\"], cwd=build_path.absolute())\n+ mock_call.assert_called_once_with(\n+ [\"docker\", \"build\", \"--load\", \"-t\", \"test-challenge\", \".\"], cwd=build_path.absolute()\n+ )\n \n @mock.patch(\"ctfcli.core.image.subprocess.call\", return_value=1)\n def test_build_returns_none_if_failed(self, mock_call: MagicMock):\n@@ -68,7 +70,9 @@ class TestImage(unittest.TestCase):\n \n self.assertFalse(image.built)\n self.assertIsNone(image_name)\n- mock_call.assert_called_once_with([\"docker\", \"build\", \"-t\", \"test-challenge\", \".\"], cwd=build_path.absolute())\n+ mock_call.assert_called_once_with(\n+ [\"docker\", \"build\", \"--load\", \"-t\", \"test-challenge\", \".\"], cwd=build_path.absolute()\n+ )\n \n @mock.patch(\"ctfcli.core.image.subprocess.call\", return_value=0)\n def test_push_built_image(self, mock_call: MagicMock):\n@@ -150,7 +154,7 @@ class TestImage(unittest.TestCase):\n mock_call.assert_has_calls(\n [\n call(\n- [\"docker\", \"build\", \"-t\", \"test-challenge\", \".\"],\n+ [\"docker\", \"build\", \"--load\", \"-t\", \"test-challenge\", \".\"],\n cwd=build_path.absolute(),\n ),\n call(\n@@ -224,7 +228,7 @@ class TestImage(unittest.TestCase):\n mock_call.assert_has_calls(\n [\n call(\n- [\"docker\", \"build\", \"-t\", \"test-challenge\", \".\"],\n+ [\"docker\", \"build\", \"--load\", \"-t\", \"test-challenge\", \".\"],\n cwd=build_path.absolute(),\n ),\n call(\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_hyperlinks\",\n \"has_many_modified_files\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 1,\n \"test_score\": 2\n },\n \"num_modified_files\": 2\n}"},"version":{"kind":"string","value":"0.1"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": null,\n \"install\": \"pip install -e .[dev]\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"pytest\",\n \"pip_packages\": [\n \"pytest\"\n ],\n \"pre_install\": null,\n \"python\": \"3.9\",\n \"reqs_path\": null,\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning\"\n}"},"requirements":{"kind":"string","value":"appdirs==1.4.4\narrow==1.3.0\nbinaryornot==0.4.4\ncertifi==2025.1.31\nchardet==5.2.0\ncharset-normalizer==3.4.1\nclick==8.1.8\ncolorama==0.4.6\ncookiecutter==2.6.0\n-e git+https://github.com/CTFd/ctfcli.git@26bcec897fcc1f5f23c8117e2a225a130a8b0dea#egg=ctfcli\nexceptiongroup @ file:///croot/exceptiongroup_1706031385326/work\nfire==0.5.0\nidna==3.10\niniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work\nJinja2==3.1.6\nmarkdown-it-py==3.0.0\nMarkupSafe==3.0.2\nmdurl==0.1.2\npackaging @ file:///croot/packaging_1734472117206/work\npluggy @ file:///croot/pluggy_1733169602837/work\nPygments==2.19.1\npytest @ file:///croot/pytest_1738938843180/work\npython-dateutil==2.9.0.post0\npython-frontmatter==1.1.0\npython-slugify==8.0.4\nPyYAML==6.0.2\nrequests==2.32.3\nrich==14.0.0\nsix==1.17.0\ntermcolor==3.0.0\ntext-unidecode==1.3\ntomli @ file:///opt/conda/conda-bld/tomli_1657175507142/work\ntypes-python-dateutil==2.9.0.20241206\ntyping_extensions==4.13.0\nurllib3==2.3.0\n"},"environment":{"kind":"string","value":"name: ctfcli\nchannels:\n - defaults\n - https://repo.anaconda.com/pkgs/main\n - https://repo.anaconda.com/pkgs/r\n - conda-forge\ndependencies:\n - _libgcc_mutex=0.1=main\n - _openmp_mutex=5.1=1_gnu\n - ca-certificates=2025.2.25=h06a4308_0\n - exceptiongroup=1.2.0=py39h06a4308_0\n - iniconfig=1.1.1=pyhd3eb1b0_0\n - ld_impl_linux-64=2.40=h12ee557_0\n - libffi=3.4.4=h6a678d5_1\n - libgcc-ng=11.2.0=h1234567_1\n - libgomp=11.2.0=h1234567_1\n - libstdcxx-ng=11.2.0=h1234567_1\n - ncurses=6.4=h6a678d5_0\n - openssl=3.0.16=h5eee18b_0\n - packaging=24.2=py39h06a4308_0\n - pip=25.0=py39h06a4308_0\n - pluggy=1.5.0=py39h06a4308_0\n - pytest=8.3.4=py39h06a4308_0\n - python=3.9.21=he870216_1\n - readline=8.2=h5eee18b_0\n - setuptools=75.8.0=py39h06a4308_0\n - sqlite=3.45.3=h5eee18b_0\n - tk=8.6.14=h39e8969_0\n - tomli=2.0.1=py39h06a4308_0\n - tzdata=2025a=h04d1e81_0\n - wheel=0.45.1=py39h06a4308_0\n - xz=5.6.4=h5eee18b_1\n - zlib=1.2.13=h5eee18b_1\n - pip:\n - appdirs==1.4.4\n - arrow==1.3.0\n - binaryornot==0.4.4\n - certifi==2025.1.31\n - chardet==5.2.0\n - charset-normalizer==3.4.1\n - click==8.1.8\n - colorama==0.4.6\n - cookiecutter==2.6.0\n - ctfcli==0.1.2\n - fire==0.5.0\n - idna==3.10\n - jinja2==3.1.6\n - markdown-it-py==3.0.0\n - markupsafe==3.0.2\n - mdurl==0.1.2\n - pygments==2.19.1\n - python-dateutil==2.9.0.post0\n - python-frontmatter==1.1.0\n - python-slugify==8.0.4\n - pyyaml==6.0.2\n - requests==2.32.3\n - rich==14.0.0\n - six==1.17.0\n - termcolor==3.0.0\n - text-unidecode==1.3\n - types-python-dateutil==2.9.0.20241206\n - typing-extensions==4.13.0\n - urllib3==2.3.0\nprefix: /opt/conda/envs/ctfcli\n"},"FAIL_TO_PASS":{"kind":"list like","value":["tests/core/test_image.py::TestImage::test_build","tests/core/test_image.py::TestImage::test_build_returns_none_if_failed","tests/core/test_image.py::TestImage::test_builds_image_before_export","tests/core/test_image.py::TestImage::test_builds_image_before_push"],"string":"[\n \"tests/core/test_image.py::TestImage::test_build\",\n \"tests/core/test_image.py::TestImage::test_build_returns_none_if_failed\",\n \"tests/core/test_image.py::TestImage::test_builds_image_before_export\",\n \"tests/core/test_image.py::TestImage::test_builds_image_before_push\"\n]","isConversational":false},"FAIL_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"PASS_TO_PASS":{"kind":"list like","value":["tests/core/test_image.py::TestImage::test_accepts_path_as_string_and_pathlike","tests/core/test_image.py::TestImage::test_assigns_attributes","tests/core/test_image.py::TestImage::test_export_built_image","tests/core/test_image.py::TestImage::test_extracts_correct_basename","tests/core/test_image.py::TestImage::test_get_exposed_port","tests/core/test_image.py::TestImage::test_get_exposed_port_returns_first_port_if_multiple_exposed","tests/core/test_image.py::TestImage::test_get_exposed_port_returns_none_if_no_ports_exposed","tests/core/test_image.py::TestImage::test_pull","tests/core/test_image.py::TestImage::test_push_built_image","tests/core/test_image.py::TestImage::test_push_returns_none_if_failed"],"string":"[\n \"tests/core/test_image.py::TestImage::test_accepts_path_as_string_and_pathlike\",\n \"tests/core/test_image.py::TestImage::test_assigns_attributes\",\n \"tests/core/test_image.py::TestImage::test_export_built_image\",\n \"tests/core/test_image.py::TestImage::test_extracts_correct_basename\",\n \"tests/core/test_image.py::TestImage::test_get_exposed_port\",\n \"tests/core/test_image.py::TestImage::test_get_exposed_port_returns_first_port_if_multiple_exposed\",\n \"tests/core/test_image.py::TestImage::test_get_exposed_port_returns_none_if_no_ports_exposed\",\n \"tests/core/test_image.py::TestImage::test_pull\",\n \"tests/core/test_image.py::TestImage::test_push_built_image\",\n \"tests/core/test_image.py::TestImage::test_push_returns_none_if_failed\"\n]","isConversational":false},"PASS_TO_FAIL":{"kind":"list like","value":[],"string":"[]","isConversational":false},"license_name":{"kind":"string","value":"Apache License 2.0"},"docker_image":{"kind":"null"},"image_name":{"kind":"null"}}},{"rowIdx":499,"cells":{"instance_id":{"kind":"string","value":"CWorthy-ocean__C-Star-206"},"base_commit":{"kind":"string","value":"b67a5f9f18fcb0aae6c8eaae6463310b9d9ad638"},"created_at":{"kind":"string","value":"2024-12-23 17:01:00"},"environment_setup_commit":{"kind":"string","value":"70c35baf4e6664de208500686b5a0a9c1af22e73"},"hints_text":{"kind":"string","value":""},"patch":{"kind":"string","value":"diff --git a/cstar/base/component.py b/cstar/base/component.py\nindex 1128546..191cc43 100644\n--- a/cstar/base/component.py\n+++ b/cstar/base/component.py\n@@ -6,7 +6,7 @@ from cstar.base.base_model import BaseModel\n if TYPE_CHECKING:\n from cstar.base.additional_code import AdditionalCode\n from cstar.base.discretization import Discretization\n- from cstar.scheduler.job import SchedulerJob\n+ from cstar.execution.handler import ExecutionHandler\n \n \n class Component(ABC):\n@@ -179,7 +179,7 @@ class Component(ABC):\n \"\"\"\n \n @abstractmethod\n- def run(self) -> Optional[\"SchedulerJob\"]:\n+ def run(self) -> \"ExecutionHandler\":\n \"\"\"Run this component.\n \n This abstract method will be implemented differently by different Component\ndiff --git a/cstar/case.py b/cstar/case.py\nindex cc271ec..bd9f429 100644\n--- a/cstar/case.py\n+++ b/cstar/case.py\n@@ -14,7 +14,7 @@ from cstar.roms.component import ROMSComponent\n from cstar.marbl.component import MARBLComponent\n \n if TYPE_CHECKING:\n- from cstar.scheduler.job import SchedulerJob\n+ from cstar.execution.handler import ExecutionHandler\n \n \n class Case:\n@@ -535,7 +535,7 @@ class Case:\n walltime: Optional[str] = None,\n queue_name: Optional[str] = None,\n job_name: Optional[str] = None,\n- ) -> Optional[\"SchedulerJob\"]:\n+ ) -> \"ExecutionHandler\":\n \"\"\"Run the case by calling `component.run(caseroot)` on the primary component\n (to which others are coupled).\"\"\"\n \ndiff --git a/cstar/execution/handler.py b/cstar/execution/handler.py\nnew file mode 100644\nindex 0000000..46ea117\n--- /dev/null\n+++ b/cstar/execution/handler.py\n@@ -0,0 +1,164 @@\n+import time\n+from abc import ABC, abstractmethod\n+from enum import Enum, auto\n+from pathlib import Path\n+\n+\n+class ExecutionStatus(Enum):\n+ \"\"\"Enum representing possible states of a process to be executed.\n+\n+ Attributes\n+ ----------\n+ UNSUBMITTED : ExecutionStatus\n+ The task is to be handled by a scheduler, but has not yet been submitted\n+ PENDING : ExecutionStatus\n+ The task is to be handled by a scheduler, but is waiting to start\n+ RUNNING : ExecutionStatus\n+ The task is currently executing.\n+ COMPLETED : ExecutionStatus\n+ The task finished successfully.\n+ CANCELLED : ExecutionStatus\n+ The task was cancelled before completion.\n+ FAILED : ExecutionStatus\n+ The task finished unsuccessfully.\n+ HELD : ExecutionStatus\n+ The task is to be handled by a scheduler, but is currently on hold pending release\n+ ENDING : ExecutionStatus\n+ The task is in the process of ending but not fully completed.\n+ UNKNOWN : ExecutionStatus\n+ The task state is unknown or not recognized.\n+ \"\"\"\n+\n+ UNSUBMITTED = auto()\n+ PENDING = auto()\n+ RUNNING = auto()\n+ COMPLETED = auto()\n+ CANCELLED = auto()\n+ FAILED = auto()\n+ HELD = auto()\n+ ENDING = auto()\n+ UNKNOWN = auto()\n+\n+ def __str__(self) -> str:\n+ return self.name.lower() # Convert enum name to lowercase for display\n+\n+\n+class ExecutionHandler(ABC):\n+ \"\"\"Abstract base class for managing the execution of a task or process.\n+\n+ This class defines the interface and common behavior for handling task\n+ execution, such as monitoring the status and providing live updates\n+ from an output file.\n+\n+ Attributes\n+ ----------\n+ status : ExecutionStatus\n+ Represents the current status of the task (e.g., RUNNING, COMPLETED).\n+ This is an abstract property that must be implemented by subclasses.\n+\n+ Methods\n+ -------\n+ updates(seconds=10)\n+ Stream live updates from the task's output file for a specified duration.\n+ \"\"\"\n+\n+ @property\n+ @abstractmethod\n+ def status(self) -> ExecutionStatus:\n+ \"\"\"Abstract property representing the current status of the task.\n+\n+ Subclasses must implement this property to query the underlying\n+ process and return the appropriate `ExecutionStatus` enum value.\n+\n+ Returns\n+ -------\n+ ExecutionStatus\n+ The current status of the task, such as `ExecutionStatus.RUNNING`,\n+ `ExecutionStatus.COMPLETED`, or other valid states defined in\n+ the `ExecutionStatus` enum.\n+\n+ Notes\n+ -----\n+ The specific implementation should query the underlying process or\n+ system to determine the task's status.\n+ \"\"\"\n+\n+ pass\n+\n+ @property\n+ @abstractmethod\n+ def output_file(self) -> Path:\n+ \"\"\"Abstract property representing the output file.\n+\n+ Returns\n+ -------\n+ output_file (Path):\n+ Path to the file in which stdout and stderr will be written.\n+ \"\"\"\n+\n+ pass\n+\n+ def updates(self, seconds: int = 10, confirm_indefinite: bool = True):\n+ \"\"\"Stream live updates from the task's output file.\n+\n+ This method streams updates from the task's output file for the\n+ specified duration. If the task is not running, a message will\n+ indicate the inability to provide updates. If the output file\n+ exists and the task has already finished, the method provides a\n+ reference to the output file for review.\n+\n+ Parameters\n+ ----------\n+ seconds : int, optional, default = 10\n+ The duration (in seconds) for which updates should be streamed.\n+ If set to 0, updates will be streamed indefinitely until\n+ interrupted by the user.\n+ confirm_indefinite: bool, optional, default = True\n+ If 'seconds' is set to 0, the user will be prompted to confirm\n+ whether they want to continue with an indefinite update stream\n+ if confirm_indefinite is set to True\n+ Notes\n+ -----\n+ - This method moves to the end of the output file and streams only\n+ new lines appended during the specified duration.\n+ - When streaming indefinitely (`seconds=0`), user confirmation is\n+ required before proceeding.\n+ \"\"\"\n+\n+ if self.status != ExecutionStatus.RUNNING:\n+ print(\n+ f\"This job is currently not running ({self.status}). Live updates cannot be provided.\"\n+ )\n+ if (self.status in {ExecutionStatus.FAILED, ExecutionStatus.COMPLETED}) or (\n+ self.status == ExecutionStatus.CANCELLED and self.output_file.exists()\n+ ):\n+ print(f\"See {self.output_file.resolve()} for job output\")\n+ return\n+\n+ if (seconds == 0) and (confirm_indefinite):\n+ # Confirm indefinite tailing\n+ confirmation = (\n+ input(\n+ \"This will provide indefinite updates to your job. You can stop it anytime using Ctrl+C. \"\n+ \"Do you want to continue? (y/n): \"\n+ )\n+ .strip()\n+ .lower()\n+ )\n+ if confirmation not in {\"y\", \"yes\"}:\n+ return\n+\n+ try:\n+ with open(self.output_file, \"r\") as f:\n+ f.seek(0, 2) # Move to the end of the file\n+ start_time = time.time()\n+ while seconds == 0 or (time.time() - start_time < seconds):\n+ line = f.readline()\n+ if self.status != ExecutionStatus.RUNNING:\n+ return\n+ elif line:\n+ print(line, end=\"\")\n+ else:\n+ time.sleep(0.1) # 100ms delay between updates\n+ except KeyboardInterrupt:\n+ print(\"\\nLive status updates stopped by user.\")\ndiff --git a/cstar/execution/local_process.py b/cstar/execution/local_process.py\nnew file mode 100644\nindex 0000000..deb5749\n--- /dev/null\n+++ b/cstar/execution/local_process.py\n@@ -0,0 +1,196 @@\n+import subprocess\n+from pathlib import Path\n+from typing import Optional\n+from datetime import datetime\n+from cstar.execution.handler import ExecutionHandler, ExecutionStatus\n+\n+\n+class LocalProcess(ExecutionHandler):\n+ \"\"\"Execution handler for managing and monitoring local subprocesses.\n+\n+ This class handles the execution of commands as local subprocesses,\n+ allowing users to monitor their status, stream output, and manage\n+ lifecycle events such as cancellation.\n+\n+ Attributes\n+ ----------\n+ commands : str\n+ The shell command(s) to be executed as a subprocess.\n+ run_path : Path\n+ The directory from which the subprocess will be executed.\n+ output_file : Path\n+ The file where the subprocess's standard output and error will\n+ be written.\n+ status : ExecutionStatus\n+ The current status of the subprocess, represented as an\n+ `ExecutionStatus` enum value.\n+\n+ Methods\n+ -------\n+ start()\n+ Start the subprocess using the specified command.\n+ cancel()\n+ Cancel the running subprocess.\n+ updates(seconds=10)\n+ Stream live updates from the subprocess's output file for a\n+ specified duration.\n+ \"\"\"\n+\n+ def __init__(\n+ self,\n+ commands: str,\n+ output_file: Optional[str | Path] = None,\n+ run_path: Optional[str | Path] = None,\n+ ):\n+ \"\"\"Initialize a `LocalProcess` instance.\n+\n+ Parameters\n+ ----------\n+ commands : str\n+ The shell command(s) to execute as a subprocess.\n+ output_file : str or Path, optional\n+ The file path where the subprocess's standard output and error\n+ will be written. Defaults to an auto-generated file in the\n+ `run_path` directory.\n+ run_path : str or Path, optional\n+ The directory from which the subprocess will be executed.\n+ Defaults to the current working directory.\n+ \"\"\"\n+\n+ self.commands = commands\n+ self.run_path = Path(run_path) if run_path is not None else Path.cwd()\n+ self._default_name = (\n+ f\"cstar_process_{datetime.strftime(datetime.now(), '%Y%m%d_%H%M%S')}\"\n+ )\n+ self._output_file = (\n+ Path(output_file) if output_file is not None else output_file\n+ )\n+\n+ self._output_file_handle = None\n+ self._process = None\n+ self._cancelled = False\n+\n+ def start(self):\n+ \"\"\"Start the local process.\n+\n+ This method initiates the execution of the command specified during\n+ initialization. The command runs in a subprocess, with its standard\n+ output and error directed to the output file.\n+\n+ Notes\n+ -----\n+ - The output file is opened and actively written to during execution.\n+ - Use the `status` property to monitor the current state of the\n+ subprocess.\n+\n+ See Also\n+ --------\n+ cancel : Terminates the running subprocess.\n+ \"\"\"\n+\n+ # Open the output file to write to\n+ self._output_file_handle = open(self.output_file, \"w\")\n+ local_process = subprocess.Popen(\n+ self.commands.split(),\n+ # shell=True,\n+ cwd=self.run_path,\n+ stdin=subprocess.PIPE,\n+ stdout=self._output_file_handle,\n+ stderr=subprocess.STDOUT,\n+ )\n+ self._process = local_process\n+\n+ @property\n+ def output_file(self) -> Path:\n+ \"\"\"The file in which to write this task's STDOUT and STDERR.\"\"\"\n+ return (\n+ self.run_path / f\"{self._default_name}.out\"\n+ if self._output_file is None\n+ else self._output_file\n+ )\n+\n+ @property\n+ def status(self) -> ExecutionStatus:\n+ \"\"\"Retrieve the current status of the local process.\n+\n+ This property determines the status of the process based on its\n+ lifecycle and return code. The possible statuses are represented by\n+ the `ExecutionStatus` enum.\n+\n+ Returns\n+ -------\n+ ExecutionStatus\n+ The current status of the process. Possible values include:\n+ - `ExecutionStatus.UNSUBMITTED`: The task has not been started.\n+ - `ExecutionStatus.RUNNING`: The task is currently executing.\n+ - `ExecutionStatus.COMPLETED`: The task finished successfully.\n+ - `ExecutionStatus.FAILED`: The task finished unsuccessfully.\n+ - `ExecutionStatus.CANCELLED`: The task was cancelled using LocalProcess.cancel()\n+ - `ExecutionStatus.UNKNOWN`: The task status could not be determined.\n+ \"\"\"\n+\n+ if self._cancelled:\n+ return ExecutionStatus.CANCELLED\n+ if self._process is None:\n+ return ExecutionStatus.UNSUBMITTED\n+ if self._process.poll() is None:\n+ return ExecutionStatus.RUNNING\n+ if self._process.returncode == 0:\n+ if self._output_file_handle:\n+ self._output_file_handle.close()\n+ self._output_file_handle = None\n+ return ExecutionStatus.COMPLETED\n+ elif self._process.returncode is not None:\n+ if self._output_file_handle:\n+ self._output_file_handle.close()\n+ self._output_file_handle = None\n+ return ExecutionStatus.FAILED\n+ return ExecutionStatus.UNKNOWN\n+\n+ def cancel(self):\n+ \"\"\"Cancel the local process.\n+\n+ This method terminates the subprocess if it is currently running.\n+ A graceful shutdown is attempted using `terminate` (SIGTERM). If the\n+ subprocess does not terminate within a timeout period, it is forcefully\n+ killed using `kill` (SIGKILL).\n+\n+ Notes\n+ -----\n+ - The status of the subprocess is updated to `ExecutionStatus.CANCELLED`\n+ after termination or killing.\n+ - The method ensures that the output file handle is closed after\n+ cancelling the process.\n+\n+ See Also\n+ --------\n+ wait : Wait for the local process to finish\n+ \"\"\"\n+\n+ if self._process and self.status == ExecutionStatus.RUNNING:\n+ try:\n+ self._process.terminate() # Send SIGTERM to allow graceful shutdown\n+ self._process.wait(timeout=5) # Wait for it to terminate\n+ except subprocess.TimeoutExpired:\n+ self._process.kill() # Forcefully kill if it doesn't terminate\n+ finally:\n+ if self._output_file_handle:\n+ self._output_file_handle.close()\n+ self._output_file_handle = None\n+ self._cancelled = True\n+ else:\n+ print(f\"Cannot cancel job with status '{self.status}'\")\n+ return\n+\n+ def wait(self):\n+ \"\"\"Wait for the local process to finish.\n+\n+ See Also\n+ --------\n+ cancel : end the current process\n+ \"\"\"\n+\n+ if self._process and self.status == ExecutionStatus.RUNNING:\n+ self._process.wait()\n+ else:\n+ print(f\"cannot wait for process with execution status '{self.status}'\")\ndiff --git a/cstar/scheduler/job.py b/cstar/execution/scheduler_job.py\nsimilarity index 85%\nrename from cstar/scheduler/job.py\nrename to cstar/execution/scheduler_job.py\nindex f6621d1..bd0454c 100644\n--- a/cstar/scheduler/job.py\n+++ b/cstar/execution/scheduler_job.py\n@@ -1,15 +1,14 @@\n import os\n import re\n-import time\n import json\n import warnings\n import subprocess\n from math import ceil\n-from enum import Enum, auto\n from abc import ABC, abstractmethod\n from pathlib import Path\n from datetime import datetime, timedelta\n from typing import Optional, Tuple\n+from cstar.execution.handler import ExecutionStatus, ExecutionHandler\n from cstar.system.manager import cstar_sysmgr\n from cstar.system.scheduler import (\n Queue,\n@@ -110,49 +109,7 @@ def create_scheduler_job(\n )\n \n \n-class JobStatus(Enum):\n- \"\"\"Enum representing possible states of a job in the scheduler.\n-\n- Each state corresponds to a stage in the lifecycle of a job, from submission\n- to completion or failure.\n-\n- Attributes\n- ----------\n- UNSUBMITTED : JobStatus\n- The job has not been submitted to the scheduler yet.\n- PENDING : JobStatus\n- The job has been submitted but is waiting to start.\n- RUNNING : JobStatus\n- The job is currently executing.\n- COMPLETED : JobStatus\n- The job finished successfully.\n- CANCELLED : JobStatus\n- The job was cancelled before completion.\n- FAILED : JobStatus\n- The job finished unsuccessfully.\n- HELD : JobStatus\n- The job is on hold and will not run until released.\n- ENDING : JobStatus\n- The job is in the process of ending but not fully completed.\n- UNKNOWN : JobStatus\n- The job state is unknown or not recognized.\n- \"\"\"\n-\n- UNSUBMITTED = auto()\n- PENDING = auto()\n- RUNNING = auto()\n- COMPLETED = auto()\n- CANCELLED = auto()\n- FAILED = auto()\n- HELD = auto()\n- ENDING = auto()\n- UNKNOWN = auto()\n-\n- def __str__(self) -> str:\n- return self.name.lower() # Convert enum name to lowercase for display\n-\n-\n-class SchedulerJob(ABC):\n+class SchedulerJob(ExecutionHandler, ABC):\n \"\"\"Abstract base class for representing a job submitted to a scheduler.\n \n This class defines the structure and common behavior for jobs managed by\n@@ -193,7 +150,7 @@ class SchedulerJob(ABC):\n The maximum walltime for the job, in the format \"HH:MM:SS\".\n id : int or None\n The unique job ID assigned by the scheduler. None if the job has not been submitted.\n- status: JobStatus\n+ status: ExecutionStatus\n A representation of the current status of the job, e.g. RUNNING or CANCELLED\n script: str\n The job script to be submitted to the scheduler.\n@@ -277,19 +234,19 @@ class SchedulerJob(ABC):\n self._commands = commands\n self._cpus = cpus\n \n- default_name = f\"cstar_job_{datetime.strftime(datetime.now(), '%Y%m%d_%H%M%S')}\"\n+ self._default_name = (\n+ f\"cstar_job_{datetime.strftime(datetime.now(), '%Y%m%d_%H%M%S')}\"\n+ )\n \n self.script_path = (\n- Path.cwd() / f\"{default_name}.sh\"\n+ Path.cwd() / f\"{self._default_name}.sh\"\n if script_path is None\n else Path(script_path)\n )\n self.run_path = self.script_path.parent if run_path is None else Path(run_path)\n- self._job_name = default_name if job_name is None else job_name\n- self.output_file = (\n- self.run_path / f\"{default_name}.out\"\n- if output_file is None\n- else output_file\n+ self._job_name = self._default_name if job_name is None else job_name\n+ self._output_file = (\n+ Path(output_file) if output_file is not None else output_file\n )\n self._queue_name = (\n scheduler.primary_queue_name if queue_name is None else queue_name\n@@ -385,6 +342,15 @@ class SchedulerJob(ABC):\n self._account_key = account_key\n self._id: Optional[int] = None\n \n+ @property\n+ def output_file(self) -> Path:\n+ \"\"\"The file in which to write this job's STDOUT and STDERR.\"\"\"\n+ return (\n+ self.run_path / f\"{self._default_name}.out\"\n+ if self._output_file is None\n+ else self._output_file\n+ )\n+\n @property\n def account_key(self) -> str:\n \"\"\"The account key associated with the job for resource tracking.\"\"\"\n@@ -498,12 +464,12 @@ class SchedulerJob(ABC):\n \n @property\n @abstractmethod\n- def status(self) -> JobStatus:\n+ def status(self) -> ExecutionStatus:\n \"\"\"Retrieve the current status of the job.\n \n This method queries the underlying scheduler to determine the current status of\n the job (e.g., PENDING, RUNNING, COMPLETED). Subclasses must implement this method\n- to interact with the specific scheduler and map its state to a `JobStatus` enum.\n+ to interact with the specific scheduler and map its state to a `ExecutionStatus` enum.\n \n Parameters\n ----------\n@@ -511,55 +477,11 @@ class SchedulerJob(ABC):\n \n Returns\n -------\n- status: JobStatus\n+ status: ExecutionStatus\n An enumeration value representing the current status of the job.\n \"\"\"\n pass\n \n- def updates(self, seconds=10):\n- \"\"\"Provides updates from the job's output file as a live stream for `seconds`\n- seconds (default 10).\n-\n- If `seconds` is 0, updates are provided indefinitely until the user interrupts the stream.\n- \"\"\"\n-\n- if self.status != JobStatus.RUNNING:\n- print(\n- f\"This job is currently not running ({self.status}). Live updates cannot be provided.\"\n- )\n- if (self.status in {JobStatus.FAILED, JobStatus.COMPLETED}) or (\n- self.status == JobStatus.CANCELLED and self.output_file.exists()\n- ):\n- print(f\"See {self.output_file.resolve()} for job output\")\n- return\n-\n- if seconds == 0:\n- # Confirm indefinite tailing\n- confirmation = (\n- input(\n- \"This will provide indefinite updates to your job. You can stop it anytime using Ctrl+C. \"\n- \"Do you want to continue? (y/n): \"\n- )\n- .strip()\n- .lower()\n- )\n- if confirmation not in {\"y\", \"yes\"}:\n- return\n-\n- try:\n- with open(self.output_file, \"r\") as f:\n- f.seek(0, 2) # Move to the end of the file\n- start_time = time.time()\n-\n- while seconds == 0 or (time.time() - start_time < seconds):\n- line = f.readline()\n- if line:\n- print(line, end=\"\")\n- else:\n- time.sleep(0.1) # 100ms delay between updates\n- except KeyboardInterrupt:\n- print(\"\\nLive status updates stopped by user.\")\n-\n def _calculate_node_distribution(\n self, n_cores_required: int, tot_cores_per_node: int\n ) -> Tuple[int, int]:\n@@ -631,7 +553,7 @@ class SlurmJob(SchedulerJob):\n The maximum walltime for the job, in the format \"HH:MM:SS\".\n id : int or None\n The unique job ID assigned by the SLURM scheduler. None if the job has not been submitted.\n- status : JobStatus\n+ status : ExecutionStatus\n The current status of the job, retrieved from SLURM.\n script : str\n The SLURM-specific job script, including directives and commands.\n@@ -645,22 +567,22 @@ class SlurmJob(SchedulerJob):\n \"\"\"\n \n @property\n- def status(self) -> JobStatus:\n+ def status(self) -> ExecutionStatus:\n \"\"\"Retrieve the current status of the job from the SLURM scheduler.\n \n This property queries SLURM using the `sacct` command to determine the job's\n- state and maps it to a corresponding `JobStatus` enumeration.\n+ state and maps it to a corresponding `ExecutionStatus` enumeration.\n \n Returns\n -------\n- status: JobStatus\n+ status: ExecutionStatus\n The current status of the job. Possible values include:\n- - `JobStatus.PENDING`: The job has been submitted but is waiting to start.\n- - `JobStatus.RUNNING`: The job is currently executing.\n- - `JobStatus.COMPLETED`: The job finished successfully.\n- - `JobStatus.CANCELLED`: The job was cancelled before completion.\n- - `JobStatus.FAILED`: The job finished unsuccessfully.\n- - `JobStatus.UNKNOWN`: The job state could not be determined.\n+ - `ExecutionStatus.PENDING`: The job has been submitted but is waiting to start.\n+ - `ExecutionStatus.RUNNING`: The job is currently executing.\n+ - `ExecutionStatus.COMPLETED`: The job finished successfully.\n+ - `ExecutionStatus.CANCELLED`: The job was cancelled before completion.\n+ - `ExecutionStatus.FAILED`: The job finished unsuccessfully.\n+ - `ExecutionStatus.UNKNOWN`: The job state could not be determined.\n \n Raises\n ------\n@@ -669,7 +591,7 @@ class SlurmJob(SchedulerJob):\n \"\"\"\n \n if self.id is None:\n- return JobStatus.UNSUBMITTED\n+ return ExecutionStatus.UNSUBMITTED\n else:\n sacct_cmd = f\"sacct -j {self.id} --format=State%20 --noheader\"\n result = subprocess.run(\n@@ -681,20 +603,20 @@ class SlurmJob(SchedulerJob):\n f\"STDOUT: {result.stdout}, STDERR: {result.stderr}\"\n )\n \n- # Map sacct states to JobStatus enum\n+ # Map sacct states to ExecutionStatus enum\n sacct_status_map = {\n- \"PENDING\": JobStatus.PENDING,\n- \"RUNNING\": JobStatus.RUNNING,\n- \"COMPLETED\": JobStatus.COMPLETED,\n- \"CANCELLED\": JobStatus.CANCELLED,\n- \"FAILED\": JobStatus.FAILED,\n+ \"PENDING\": ExecutionStatus.PENDING,\n+ \"RUNNING\": ExecutionStatus.RUNNING,\n+ \"COMPLETED\": ExecutionStatus.COMPLETED,\n+ \"CANCELLED\": ExecutionStatus.CANCELLED,\n+ \"FAILED\": ExecutionStatus.FAILED,\n }\n for state, status in sacct_status_map.items():\n if state in result.stdout:\n return status\n \n # Fallback if no known state is found\n- return JobStatus.UNKNOWN\n+ return ExecutionStatus.UNKNOWN\n \n @property\n def script(self) -> str:\n@@ -803,8 +725,8 @@ class SlurmJob(SchedulerJob):\n If the `scancel` command fails or returns a non-zero exit code.\n \"\"\"\n \n- if self.status not in {JobStatus.RUNNING, JobStatus.PENDING}:\n- print(f\"Cannot cancel job with status {self.status}\")\n+ if self.status not in {ExecutionStatus.RUNNING, ExecutionStatus.PENDING}:\n+ print(f\"Cannot cancel job with status '{self.status}'\")\n return\n \n result = subprocess.run(\n@@ -862,7 +784,7 @@ class PBSJob(SchedulerJob):\n The maximum walltime for the job, in the format \"HH:MM:SS\".\n id : int or None\n The unique job ID assigned by the PBS scheduler. None if the job has not been submitted.\n- status : JobStatus\n+ status : ExecutionStatus\n The current status of the job, retrieved from PBS.\n script : str\n The PBS-specific job script, including directives and commands.\n@@ -876,7 +798,7 @@ class PBSJob(SchedulerJob):\n \"\"\"\n \n @property\n- def script(self):\n+ def script(self) -> str:\n \"\"\"Generate the PBS-specific job script to be submitted to the scheduler.\n Includes standard Slurm scheduler directives as well as scheduler-specific\n directives specified by the scheduler.other_scheduler_directives attribute.\n@@ -901,7 +823,7 @@ class PBSJob(SchedulerJob):\n for (\n key,\n value,\n- ) in cstar_sysmgr.scheduler.other_scheduler_directives.items():\n+ ) in self.scheduler.other_scheduler_directives.items():\n scheduler_script += f\"\\n#PBS {key} {value}\"\n scheduler_script += \"\\ncd ${PBS_O_WORKDIR}\"\n \n@@ -909,24 +831,24 @@ class PBSJob(SchedulerJob):\n return scheduler_script\n \n @property\n- def status(self) -> JobStatus:\n+ def status(self) -> ExecutionStatus:\n \"\"\"Retrieve the current status of the job from the PBS scheduler.\n \n This property queries PBS using the `qstat` command to determine the job's\n- state and maps it to a corresponding `JobStatus` enumeration.\n+ state and maps it to a corresponding `ExecutionStatus` enumeration.\n \n Returns\n -------\n- status : JobStatus\n+ status : ExecutionStatus\n The current status of the job. Possible values include:\n- - `JobStatus.PENDING`: The job has been submitted but is waiting to start.\n- - `JobStatus.RUNNING`: The job is currently executing.\n- - `JobStatus.COMPLETED`: The job finished successfully.\n- - `JobStatus.CANCELLED`: The job was cancelled before completion.\n- - `JobStatus.FAILED`: The job finished unsuccessfully.\n- - `JobStatus.HELD`: The job is on hold.\n- - `JobStatus.ENDING`: The job is in the process of ending.\n- - `JobStatus.UNKNOWN`: The job state could not be determined.\n+ - `ExecutionStatus.PENDING`: The job has been submitted but is waiting to start.\n+ - `ExecutionStatus.RUNNING`: The job is currently executing.\n+ - `ExecutionStatus.COMPLETED`: The job finished successfully.\n+ - `ExecutionStatus.CANCELLED`: The job was cancelled before completion.\n+ - `ExecutionStatus.FAILED`: The job finished unsuccessfully.\n+ - `ExecutionStatus.HELD`: The job is on hold.\n+ - `ExecutionStatus.ENDING`: The job is in the process of ending.\n+ - `ExecutionStatus.UNKNOWN`: The job state could not be determined.\n \n Raises\n ------\n@@ -935,7 +857,7 @@ class PBSJob(SchedulerJob):\n \"\"\"\n \n if self.id is None:\n- return JobStatus.UNSUBMITTED\n+ return ExecutionStatus.UNSUBMITTED\n \n qstat_cmd = f\"qstat -x -f -F json {self.id}\"\n result = subprocess.run(qstat_cmd, capture_output=True, text=True, shell=True)\n@@ -957,20 +879,24 @@ class PBSJob(SchedulerJob):\n # Extract the job state\n job_state = job_info[\"job_state\"]\n pbs_status_map = {\n- \"Q\": JobStatus.PENDING,\n- \"R\": JobStatus.RUNNING,\n- \"C\": JobStatus.COMPLETED,\n- \"H\": JobStatus.HELD,\n- \"E\": JobStatus.ENDING,\n+ \"Q\": ExecutionStatus.PENDING,\n+ \"R\": ExecutionStatus.RUNNING,\n+ \"C\": ExecutionStatus.COMPLETED,\n+ \"H\": ExecutionStatus.HELD,\n+ \"E\": ExecutionStatus.ENDING,\n }\n \n # Handle specific cases for \"F\" (Finished)\n if job_state == \"F\":\n exit_status = job_info.get(\"Exit_status\", 1)\n- return JobStatus.COMPLETED if exit_status == 0 else JobStatus.FAILED\n+ return (\n+ ExecutionStatus.COMPLETED\n+ if exit_status == 0\n+ else ExecutionStatus.FAILED\n+ )\n else:\n # Default to UNKNOWN for unmapped states\n- return pbs_status_map.get(job_state, JobStatus.UNKNOWN)\n+ return pbs_status_map.get(job_state, ExecutionStatus.UNKNOWN)\n \n except json.JSONDecodeError as e:\n raise RuntimeError(f\"Failed to parse JSON from qstat output: {e}\")\n@@ -1032,7 +958,11 @@ class PBSJob(SchedulerJob):\n If the `qdel` command fails or returns a non-zero exit code.\n \"\"\"\n \n- if self.status not in {JobStatus.RUNNING, JobStatus.PENDING, JobStatus.HELD}:\n+ if self.status not in {\n+ ExecutionStatus.RUNNING,\n+ ExecutionStatus.PENDING,\n+ ExecutionStatus.HELD,\n+ }:\n print(f\"Cannot cancel job with status {self.status}\")\n return\n \ndiff --git a/cstar/marbl/component.py b/cstar/marbl/component.py\nindex 803c26c..aeffb5e 100644\n--- a/cstar/marbl/component.py\n+++ b/cstar/marbl/component.py\n@@ -61,8 +61,8 @@ class MARBLComponent(Component):\n print(\"No pre-processing steps to be completed for MARBLComponent\")\n pass\n \n- def run(self) -> None:\n- print(\"MARBL must be run in the context of a parent model\")\n+ def run(self):\n+ raise ValueError(\"MARBL must be run in the context of a parent model\")\n \n def post_run(self) -> None:\n print(\"No post-processing steps to be completed for MARBLComponent\")\ndiff --git a/cstar/roms/component.py b/cstar/roms/component.py\nindex d8db87a..2a9e634 100644\n--- a/cstar/roms/component.py\n+++ b/cstar/roms/component.py\n@@ -5,7 +5,9 @@ from pathlib import Path\n from datetime import datetime\n from typing import Optional, TYPE_CHECKING, List\n \n-from cstar.scheduler.job import create_scheduler_job\n+from cstar.execution.scheduler_job import create_scheduler_job\n+from cstar.execution.local_process import LocalProcess\n+from cstar.execution.handler import ExecutionStatus\n from cstar.base.utils import _replace_text_in_file\n from cstar.base.component import Component\n from cstar.roms.base_model import ROMSBaseModel\n@@ -24,7 +26,7 @@ from cstar.system.manager import cstar_sysmgr\n \n if TYPE_CHECKING:\n from cstar.roms import ROMSBaseModel\n- from cstar.scheduler.job import SchedulerJob\n+ from cstar.execution.handler import ExecutionHandler\n \n \n class ROMSComponent(Component):\n@@ -151,6 +153,8 @@ class ROMSComponent(Component):\n self.exe_path: Optional[Path] = None\n self.partitioned_files: List[Path] | None = None\n \n+ self._execution_handler: Optional[\"ExecutionHandler\"] = None\n+\n @property\n def in_file(self) -> Path:\n \"\"\"Find the .in file associated with this ROMSComponent in\n@@ -853,7 +857,7 @@ class ROMSComponent(Component):\n walltime: Optional[str] = None,\n queue_name: Optional[str] = None,\n job_name: Optional[str] = None,\n- ) -> Optional[\"SchedulerJob\"]:\n+ ) -> \"ExecutionHandler\":\n \"\"\"Runs the executable created by `build()`\n \n This method creates a temporary file to be submitted to the job scheduler (if any)\n@@ -923,7 +927,7 @@ class ROMSComponent(Component):\n \n output_dir.mkdir(parents=True, exist_ok=True)\n \n- ## 2: RUN ON THIS MACHINE\n+ ## 2: RUN ROMS\n \n roms_exec_cmd = (\n f\"{cstar_sysmgr.environment.mpi_exec_prefix} -n {self.discretization.n_procs_tot} {self.exe_path} \"\n@@ -952,85 +956,14 @@ class ROMSComponent(Component):\n )\n \n job_instance.submit()\n+ self._execution_handler = job_instance\n return job_instance\n \n else: # cstar_sysmgr.scheduler is None\n- import time\n-\n- romsprocess = subprocess.Popen(\n- roms_exec_cmd,\n- shell=True,\n- cwd=run_path,\n- stdout=subprocess.PIPE,\n- stderr=subprocess.PIPE,\n- text=True,\n- )\n-\n- # Process stdout line-by-line\n- tstep0 = 0\n- roms_init_string = \"\"\n- if romsprocess.stdout is None:\n- raise RuntimeError(\"ROMS is not producing stdout\")\n-\n- # 2024-09-21 : the following is included as in some instances ROMS\n- # will exit with code 0 even if a fatal error occurs, see:\n- # https://github.com/CESR-lab/ucla-roms/issues/42\n-\n- debugging = False # Print raw output if true\n- if debugging:\n- while True:\n- output = romsprocess.stdout.readline()\n- if output == \"\" and romsprocess.poll() is not None:\n- break\n- if output:\n- print(output.strip())\n- else:\n- for line in romsprocess.stdout:\n- # Split the line by whitespace\n- parts = line.split()\n-\n- # Check if there are exactly 9 parts and the first one is an integer\n- if len(parts) == 9:\n- try:\n- # Try to convert the first part to an integer\n- tstep = int(parts[0])\n- if tstep0 == 0:\n- tstep0 = tstep\n- T0 = time.time()\n- # Capture the first integer and print it\n- else:\n- ETA = (n_time_steps - (tstep - tstep0)) * (\n- (time.time() - T0) / (tstep - tstep0)\n- )\n- total_print_statements = 50\n- print_frq = n_time_steps // total_print_statements + 1\n- if ((tstep - tstep0) % print_frq) == 0:\n- print(\n- f\"Running ROMS: time-step {tstep-tstep0} of {n_time_steps} ({time.time()-T0:.1f}s elapsed; ETA {ETA:.1f}s)\"\n- )\n- except ValueError:\n- pass\n- elif tstep0 == 0 and len(roms_init_string) == 0:\n- roms_init_string = \"Running ROMS: Initializing run...\"\n- print(roms_init_string)\n-\n- romsprocess.wait()\n- if romsprocess.returncode != 0:\n- import datetime as dt\n-\n- errlog = (\n- output_dir\n- / f\"ROMS_STDERR_{dt.datetime.now().strftime('%Y%m%d_%H%M%S')}.log\"\n- )\n- if romsprocess.stderr is not None:\n- with open(errlog, \"w\") as F:\n- F.write(romsprocess.stderr.read())\n- raise RuntimeError(\n- f\"ROMS terminated with errors. See {errlog} for further information.\"\n- )\n- return None\n-\n- return None\n+ romsprocess = LocalProcess(commands=roms_exec_cmd, run_path=run_path)\n+ self._execution_handler = romsprocess\n+ romsprocess.start()\n+ return romsprocess\n \n def post_run(self, output_dir: Optional[str | Path] = None) -> None:\n \"\"\"Performs post-processing steps associated with this ROMSComponent object.\n@@ -1043,6 +976,17 @@ class ROMSComponent(Component):\n output_dir: str | Path\n The directory in which output was produced by the run\n \"\"\"\n+\n+ if self._execution_handler is None:\n+ raise RuntimeError(\n+ \"Cannot call 'ROMSComponent.post_run()' before calling 'ROMSComponent.run()'\"\n+ )\n+ elif self._execution_handler.status != ExecutionStatus.COMPLETED:\n+ raise RuntimeError(\n+ \"Cannot call 'ROMSComponent.post_run()' until the ROMS run is completed, \"\n+ + f\"but current execution status is '{self._execution_handler.status}'\"\n+ )\n+\n if output_dir is None:\n # This should not be necessary, it allows output_dir to appear\n # optional for signature compatibility in linting, see\ndiff --git a/docs/5_handling_jobs_on_hpc_systems.ipynb b/docs/5_tracking_runs_executed_as_jobs_on_hpc_systems.ipynb\nsimilarity index 99%\nrename from docs/5_handling_jobs_on_hpc_systems.ipynb\nrename to docs/5_tracking_runs_executed_as_jobs_on_hpc_systems.ipynb\nindex 9c947e2..cf01145 100644\n--- a/docs/5_handling_jobs_on_hpc_systems.ipynb\n+++ b/docs/5_tracking_runs_executed_as_jobs_on_hpc_systems.ipynb\n@@ -20,7 +20,7 @@\n \"id\": \"53ab3d32-9292-44b6-a1f5-fa331b654307\",\n \"metadata\": {},\n \"source\": [\n- \"# Handling jobs on HPC systems\\n\",\n+ \"# Tracking runs executed as jobs on HPC systems\\n\",\n \"On this page, we will look at how to use C-Star on supported HPC systems with job schedulers, including:\\n\",\n \"\\n\",\n \"- Submitting a job to a scheduler queue\\n\",\n@@ -689,7 +689,7 @@\n \"name\": \"python\",\n \"nbconvert_exporter\": \"python\",\n \"pygments_lexer\": \"ipython3\",\n- \"version\": \"3.10.13\"\n+ \"version\": \"3.13.1\"\n }\n },\n \"nbformat\": 4,\ndiff --git a/docs/6_tracking_runs_executed_locally.ipynb b/docs/6_tracking_runs_executed_locally.ipynb\nnew file mode 100644\nindex 0000000..b7c89e0\n--- /dev/null\n+++ b/docs/6_tracking_runs_executed_locally.ipynb\n@@ -0,0 +1,409 @@\n+{\n+ \"cells\": [\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"id\": \"970997a3-caeb-42b8-923d-9b86f8c4d94c\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"> [!Warning] \\n\",\n+ \"> **This project is still in an early phase of development.**\\n\",\n+ \">\\n\",\n+ \"> The [python API](https://c-star.readthedocs.io/en/latest/api.html) is not yet stable, and some aspects of the schema for the [blueprint](https://c-star.readthedocs.io/en/latest/terminology.html#term-blueprint) will likely evolve. \\n\",\n+ \"> Therefore whilst you are welcome to try out using the package, we cannot yet guarantee backwards compatibility. \\n\",\n+ \"We expect to reach a more stable version in Q1 2025.\\n\",\n+ \">\\n\",\n+ \"> To see which systems C-Star has been tested on so far, see [Supported Systems](https://c-star.readthedocs.io/en/latest/machines.html).\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"id\": \"53ab3d32-9292-44b6-a1f5-fa331b654307\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"# Tracking runs executed locally\\n\",\n+ \"On this page, we will look at how to monitor processes created by C-Star where execution is handled locally in more detail.\\n\",\n+ \"If you are running C-Star on a supported HPC system with a job scheduler, see [the previous page](5_handling_jobs_on_hpc_systems.html). There are many features in common between jobs run locally and those submitted to a job scheduler, but the former is more simple.\\n\",\n+ \"\\n\",\n+ \"- Checking the status of a task created by C-Star\\n\",\n+ \"- Receiving live updates from a task created by C-Star\\n\",\n+ \"- Cancelling a task created by C-Star\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"id\": \"6f1d2be9-accc-4af6-849d-37d7f0257603\",\n+ \"metadata\": {\n+ \"tags\": []\n+ },\n+ \"source\": [\n+ \"## Importing an example Case and running it locally:\\n\",\n+ \"We will import and set up an example case similarly to the [previous example](2_importing_and_running_a_case_from_a_blueprint.html)\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": 1,\n+ \"id\": \"a301fe04-638c-4312-8068-cd4b26249c5f\",\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"import cstar\\n\",\n+ \"\\n\",\n+ \"example_case_1 = cstar.Case.from_blueprint(blueprint = \\\"../examples/cstar_blueprint_roms_marbl_example.yaml\\\",\\n\",\n+ \" caseroot = \\\"../examples/example_case\\\", \\n\",\n+ \" start_date = \\\"2012-01-03 12:00:00\\\", \\n\",\n+ \" end_date = \\\"2012-01-06 12:00:00\\\")\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"id\": \"36a4e106-d605-4494-909a-b1c2cbc17eca\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"## Starting a run locally\\n\",\n+ \"We can now set up and run the Case as in the [previous example](2_importing_and_running_a_case_from_a_blueprint.html), assigning the `LocalProcess` instance returned by `Case.run()` to a variable we can keep track of.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"id\": \"82cb820a-0353-4146-9e01-2e425a615fa2\",\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"example_case_1.setup()\\n\",\n+ \"example_case_1.build()\\n\",\n+ \"example_case_1.pre_run()\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": 3,\n+ \"id\": \"071b0e23-1f7f-402d-a2b5-1ae2fae90317\",\n+ \"metadata\": {},\n+ \"outputs\": [\n+ {\n+ \"name\": \"stdout\",\n+ \"output_type\": \"stream\",\n+ \"text\": [\n+ \"\\n\",\n+ \"Running ROMS... \\n\"\n+ ]\n+ }\n+ ],\n+ \"source\": [\n+ \"cstar_task = example_case_1.run()\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"id\": \"c0aa814e-d5ef-4f0b-834b-c67d0f47a574\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"## Tracking the local run\\n\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"id\": \"30c673bb-9490-4feb-aeda-b434dcf1c687\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Viewing the output file path\\n\",\n+ \"The output file contains the standard output and error streams returned by the run\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": 4,\n+ \"id\": \"216bbc79-f578-44d2-867b-7da38b252778\",\n+ \"metadata\": {},\n+ \"outputs\": [\n+ {\n+ \"data\": {\n+ \"text/plain\": [\n+ \"PosixPath('/Users/dafyddstephenson/Code/my_c_star/examples/example_case/output/cstar_process_20241224_143121.out')\"\n+ ]\n+ },\n+ \"execution_count\": 4,\n+ \"metadata\": {},\n+ \"output_type\": \"execute_result\"\n+ }\n+ ],\n+ \"source\": [\n+ \"cstar_task.output_file\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"id\": \"68cf73c3-916f-4007-a9cb-c2e6761fb67c\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Checking the status\\n\",\n+ \"We can check the run status using the `status` property. Possible values for a local run are:\\n\",\n+ \"\\n\",\n+ \"- `UNSUBMITTED`: the run has not yet started\\n\",\n+ \"- `RUNNING`: the run is underway\\n\",\n+ \"- `COMPLETED`: the run finished successfully\\n\",\n+ \"- `CANCELLED`: the run was cancelled by the user\\n\",\n+ \"- `FAILED`: the run finished unsuccessfully\\n\",\n+ \"- `UNKNOWN`: the status cannot be determined\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": 5,\n+ \"id\": \"41630183-ecde-4dc2-bfba-41a1457ede1a\",\n+ \"metadata\": {},\n+ \"outputs\": [\n+ {\n+ \"data\": {\n+ \"text/plain\": [\n+ \"<ExecutionStatus.RUNNING: 3>\"\n+ ]\n+ },\n+ \"execution_count\": 5,\n+ \"metadata\": {},\n+ \"output_type\": \"execute_result\"\n+ }\n+ ],\n+ \"source\": [\n+ \"cstar_task.status\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"id\": \"b05c1c44-2d6f-45f3-84fc-4ac071456d6e\",\n+ \"metadata\": {\n+ \"tags\": []\n+ },\n+ \"source\": [\n+ \"### Receiving live updates from a local run\\n\",\n+ \"While the process is running, we can stream any new lines written to the output file using the `updates()` method. This method receives a `seconds` parameter, and will provide live updates for the number of seconds provided by the user (default 10). If the user specifies `seconds=0`, updates will be provided indefinitely until either the updates are stopped with a keyboard interruption (typically via `Ctrl-c`) or the process ends.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": 6,\n+ \"id\": \"0a79a7cc-9281-4bd8-ad4e-ecb32e17a1c0\",\n+ \"metadata\": {},\n+ \"outputs\": [\n+ {\n+ \"name\": \"stdout\",\n+ \"output_type\": \"stream\",\n+ \"text\": [\n+ \" 2485 4385.8583 1.25835920793-02 1.0622096536-02 0.136952686070 0.136247868683 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2486 4385.8625 1.26418727730-02 1.0677227692-02 0.138613564557 0.137943291663 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2487 4385.8666 1.27018558957-02 1.0734782520-02 0.140313602622 0.139684982328 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2488 4385.8708 1.27644276510-02 1.0795296451-02 0.142053378702 0.141473963532 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2489 4385.8750 1.28303755595-02 1.0859155735-02 0.143837624076 0.143314536573 8 18 61\\n\",\n+ \" set_frc :: swrad input time (days) = 4385.92 rec = 71\\n\",\n+ \" set_frc :: lwrad input time (days) = 4385.92 rec = 71\\n\",\n+ \" set_frc :: uwnd input time (days) = 4385.92 rec = 71\\n\",\n+ \" set_frc :: vwnd input time (days) = 4385.92 rec = 71\\n\",\n+ \" set_frc :: Tair input time (days) = 4385.92 rec = 71\\n\",\n+ \" set_frc :: qair input time (days) = 4385.92 rec = 71\\n\",\n+ \" set_frc :: rain input time (days) = 4385.92 rec = 71\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2490 4385.8791 1.29004414329-02 1.0926810649-02 0.145608490301 0.145146964406 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2491 4385.8833 1.29708365192-02 1.0995773324-02 0.147131668685 0.146735361928 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2492 4385.8875 1.30377943412-02 1.1063338488-02 0.148424019270 0.148095085576 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2493 4385.8916 1.31023753611-02 1.1129874381-02 0.149523096643 0.149264579908 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2494 4385.8958 1.31652198586-02 1.1195599618-02 0.150478728824 0.150294630798 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2495 4385.9000 1.32268445879-02 1.1260610230-02 0.151333910835 0.151257155828 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2496 4385.9041 1.32876049836-02 1.1325071888-02 0.152128252273 0.152128252273 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2497 4385.9083 1.33478670990-02 1.1389121584-02 0.152959268208 0.152959268208 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2498 4385.9125 1.34078950450-02 1.1452897611-02 0.153768111972 0.153768111972 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2499 4385.9166 1.34680167142-02 1.1516533838-02 0.154567678966 0.154567678966 8 18 62\\n\",\n+ \" set_frc :: swrad input time (days) = 4385.96 rec = 72\\n\",\n+ \" set_frc :: lwrad input time (days) = 4385.96 rec = 72\\n\",\n+ \" set_frc :: uwnd input time (days) = 4385.96 rec = 72\\n\",\n+ \" set_frc :: vwnd input time (days) = 4385.96 rec = 72\\n\",\n+ \" set_frc :: Tair input time (days) = 4385.96 rec = 72\\n\",\n+ \" set_frc :: qair input time (days) = 4385.96 rec = 72\\n\",\n+ \" set_frc :: rain input time (days) = 4385.96 rec = 72\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2500 4385.9208 1.35283165709-02 1.1580129351-02 0.155325624258 0.155221612013 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2501 4385.9250 1.35828230769-02 1.1640319995-02 0.155700653053 0.155481340173 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2502 4385.9291 1.36263388869-02 1.1693975898-02 0.155662438206 0.155322944376 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2503 4385.9333 1.36600374443-02 1.1741283660-02 0.155263267688 0.154803506067 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2504 4385.9375 1.36849625828-02 1.1782576915-02 0.154577909123 0.154000079067 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2505 4385.9416 1.37020578756-02 1.1818261666-02 0.153670271592 0.152976916292 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2506 4385.9458 1.37121832607-02 1.1848783946-02 0.152590160501 0.151783861959 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2507 4385.9500 1.37161351454-02 1.1874569011-02 0.151374986137 0.150458733231 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2508 4385.9541 1.37144734308-02 1.1896005050-02 0.150053002374 0.149030644412 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2509 4385.9583 1.37078436551-02 1.1913471360-02 0.148646075415 0.147522693372 8 18 61\\n\",\n+ \" set_frc :: swrad input time (days) = 4386.00 rec = 73\\n\",\n+ \" set_frc :: lwrad input time (days) = 4386.00 rec = 73\\n\",\n+ \" set_frc :: uwnd input time (days) = 4386.00 rec = 73\\n\",\n+ \" set_frc :: vwnd input time (days) = 4386.00 rec = 73\\n\",\n+ \" set_frc :: Tair input time (days) = 4386.00 rec = 73\\n\",\n+ \" set_frc :: qair input time (days) = 4386.00 rec = 73\\n\",\n+ \" set_frc :: rain input time (days) = 4386.00 rec = 73\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2510 4385.9625 1.36966772006-02 1.1927277505-02 0.147160964026 0.145942604721 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2511 4385.9666 1.36809635410-02 1.1937393429-02 0.145575738835 0.144268441761 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2512 4385.9708 1.36607130946-02 1.1943812910-02 0.143911766375 0.142521457819 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2513 4385.9750 1.36363893415-02 1.1946799844-02 0.142189803708 0.140721996579 8 18 61\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2514 4385.9791 1.36084937336-02 1.1946561437-02 0.140429539964 0.138961591747 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2515 4385.9833 1.35771853114-02 1.1943254440-02 0.138650105839 0.137111897393 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2516 4385.9875 1.35429113517-02 1.1937106844-02 0.136856769268 0.135251514662 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2517 4385.9916 1.35060264336-02 1.1928413681-02 0.135055284864 0.133386889470 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2518 4385.9958 1.34667019800-02 1.1917333838-02 0.133250058213 0.131523540883 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2519 4386.0000 1.34251380663-02 1.1903898010-02 0.131446412425 0.129667318138 8 18 62\\n\",\n+ \" ocean_vars :: wrote history, tdays = 4386.0000 step = 2519 rec = 3\\n\",\n+ \" wrt_bgc_tracers :: history , trc = PO4 \\n\",\n+ \" wrt_bgc_tracers :: history , trc = NO3 \\n\",\n+ \" wrt_bgc_tracers :: history , trc = SiO3 \\n\",\n+ \" wrt_bgc_tracers :: history , trc = NH4 \\n\",\n+ \" wrt_bgc_tracers :: history , trc = Fe \\n\",\n+ \" wrt_bgc_tracers :: history , trc = Lig \\n\",\n+ \" wrt_bgc_tracers :: history , trc = O2 \\n\",\n+ \" wrt_bgc_tracers :: history , trc = DIC \\n\",\n+ \" wrt_bgc_tracers :: history , trc = DIC_ALT_CO2 \\n\",\n+ \" wrt_bgc_tracers :: history , trc = ALK \\n\",\n+ \" wrt_bgc_tracers :: history , trc = ALK_ALT_CO2 \\n\",\n+ \" wrt_bgc_tracers :: history , trc = DOC \\n\",\n+ \" wrt_bgc_tracers :: history , trc = DON \\n\",\n+ \" wrt_bgc_tracers :: history , trc = DOP \\n\",\n+ \" wrt_bgc_tracers :: history , trc = DOPr \\n\",\n+ \" wrt_bgc_tracers :: history , trc = DONr \\n\",\n+ \" wrt_bgc_tracers :: history , trc = DOCr \\n\",\n+ \" wrt_bgc_tracers :: history , trc = zooC \\n\",\n+ \" wrt_bgc_tracers :: history , trc = spChl \\n\",\n+ \" wrt_bgc_tracers :: history , trc = spC \\n\",\n+ \" wrt_bgc_tracers :: history , trc = spP \\n\",\n+ \" wrt_bgc_tracers :: history , trc = spFe \\n\",\n+ \" wrt_bgc_tracers :: history , trc = spCaCO3 \\n\",\n+ \" wrt_bgc_tracers :: history , trc = diatChl \\n\",\n+ \" wrt_bgc_tracers :: history , trc = diatC \\n\",\n+ \" wrt_bgc_tracers :: history , trc = diatP \\n\",\n+ \" wrt_bgc_tracers :: history , trc = diatFe \\n\",\n+ \" wrt_bgc_tracers :: history , trc = diatSi \\n\",\n+ \" wrt_bgc_tracers :: history , trc = diazChl \\n\",\n+ \" wrt_bgc_tracers :: history , trc = diazC \\n\",\n+ \" wrt_bgc_tracers :: history , trc = diazP \\n\",\n+ \" wrt_bgc_tracers :: history , trc = diazFe \\n\",\n+ \" bgc :: wrote history, tdays = 4386.0000 step = 2518 rec = 3\\n\",\n+ \" bgc diag :: wrote history, tdays = 4386.0000 step = 2519 rec = 3\\n\",\n+ \" set_frc :: zeta_east input time (days) = 4387.00 rec = 5\\n\",\n+ \" set_frc :: zeta_west input time (days) = 4387.00 rec = 5\\n\",\n+ \" set_frc :: zeta_south input time (days) = 4387.00 rec = 5\\n\",\n+ \" set_frc :: zeta_north input time (days) = 4387.00 rec = 5\\n\",\n+ \" set_frc :: swrad input time (days) = 4386.04 rec = 74\\n\",\n+ \" set_frc :: lwrad input time (days) = 4386.04 rec = 74\\n\",\n+ \" set_frc :: uwnd input time (days) = 4386.04 rec = 74\\n\",\n+ \" set_frc :: vwnd input time (days) = 4386.04 rec = 74\\n\",\n+ \" set_frc :: Tair input time (days) = 4386.04 rec = 74\\n\",\n+ \" set_frc :: qair input time (days) = 4386.04 rec = 74\\n\",\n+ \" set_frc :: rain input time (days) = 4386.04 rec = 74\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2520 4386.0041 1.33813167950-02 1.1888112769-02 0.129656274071 0.127829968916 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2521 4386.0083 1.33372723425-02 1.1871329181-02 0.127909737805 0.126040534783 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2522 4386.0125 1.32937687605-02 1.1853843466-02 0.126215169511 0.124305538389 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2523 4386.0166 1.32504548141-02 1.1835566947-02 0.124575269680 0.122625412446 8 18 62\\n\",\n+ \" doing BGC with MARBL\\n\",\n+ \" 2524 4386.0208 1.32071760708-02 1.1816443813-02 0.122986966618 0.120995584727 8 18 62\\n\"\n+ ]\n+ }\n+ ],\n+ \"source\": [\n+ \"cstar_task.updates(seconds=2)\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"id\": \"86c42fba-256a-4950-b324-b58413c598e1\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Cancelling a job\\n\",\n+ \"We can cancel the job using the `cancel` method:\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": 7,\n+ \"id\": \"428f25ea-43d8-4462-9b80-d912552aa403\",\n+ \"metadata\": {},\n+ \"outputs\": [],\n+ \"source\": [\n+ \"cstar_task.cancel()\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": 8,\n+ \"id\": \"10926495-2da3-4a20-b663-d238d6d96a43\",\n+ \"metadata\": {},\n+ \"outputs\": [\n+ {\n+ \"data\": {\n+ \"text/plain\": [\n+ \"<ExecutionStatus.CANCELLED: 5>\"\n+ ]\n+ },\n+ \"execution_count\": 8,\n+ \"metadata\": {},\n+ \"output_type\": \"execute_result\"\n+ }\n+ ],\n+ \"source\": [\n+ \"cstar_task.status\"\n+ ]\n+ }\n+ ],\n+ \"metadata\": {\n+ \"kernelspec\": {\n+ \"display_name\": \"Python 3 (ipykernel)\",\n+ \"language\": \"python\",\n+ \"name\": \"python3\"\n+ },\n+ \"language_info\": {\n+ \"codemirror_mode\": {\n+ \"name\": \"ipython\",\n+ \"version\": 3\n+ },\n+ \"file_extension\": \".py\",\n+ \"mimetype\": \"text/x-python\",\n+ \"name\": \"python\",\n+ \"nbconvert_exporter\": \"python\",\n+ \"pygments_lexer\": \"ipython3\",\n+ \"version\": \"3.13.1\"\n+ }\n+ },\n+ \"nbformat\": 4,\n+ \"nbformat_minor\": 5\n+}\ndiff --git a/docs/api.rst b/docs/api.rst\nindex f0127b5..f6a5670 100644\n--- a/docs/api.rst\n+++ b/docs/api.rst\n@@ -67,9 +67,10 @@ Scheduler Job\n .. autosummary::\n :toctree: generated/\n \n- cstar.scheduler.job.SchedulerJob\n- cstar.scheduler.job.SlurmJob\n- cstar.scheduler.job.PBSJob\n+ cstar.execution.scheduler_job.SchedulerJob\n+ cstar.execution.scheduler_job.SlurmJob\n+ cstar.execution.scheduler_job.PBSJob\n+ cstar.execution.local_process.LocalProcess\n \n System\n ------\ndiff --git a/docs/index.rst b/docs/index.rst\nindex aeddd08..de6b2b9 100644\n--- a/docs/index.rst\n+++ b/docs/index.rst\n@@ -33,7 +33,8 @@ A key strength of C-Star lies in its ability to run regional simulations using a\n Importing and running a Case from a blueprint <2_importing_and_running_a_case_from_a_blueprint>\n Restarting and continuing a Case <3_restarting_and_continuing_a_case>\n Preparing input datasets for a Case with ROMS using roms-tools <4_preparing_roms_input_datasets>\n- Handling jobs on HPC systems <5_handling_jobs_on_hpc_systems>\n+ Tracking runs executed as jobs on HPC systems <5_tracking_runs_executed_as_jobs_on_hpc_systems>\n+ Tracking runs executed locally <6_tracking_runs_executed_locally>\n \n .. toctree::\n :maxdepth: 1\ndiff --git a/docs/releases.rst b/docs/releases.rst\nindex f76a0f7..cc4863f 100644\n--- a/docs/releases.rst\n+++ b/docs/releases.rst\n@@ -1,5 +1,15 @@\n Release notes\n =============\n+.. _v0.0.6-alpha:\n+\n+v0.0.6-alpha ()\n+---------------------------\n+\n+New features:\n+~~~~~~~~~~~~~\n+- Add ExecutionHandler class to track tasks run locally (LocalProcess subclass) or submitted to a job scheduler (SchedulerJob subclass)\n+\n+\n \n .. _v0.0.3-alpha:\n \ndiff --git a/examples/cstar_example.py b/examples/cstar_example.py\nindex ab2ef57..180fc0c 100644\n--- a/examples/cstar_example.py\n+++ b/examples/cstar_example.py\n@@ -10,7 +10,7 @@ roms_marbl_case = cstar.Case.from_blueprint(\n blueprint=\"cstar_blueprint_roms_marbl_example.yaml\",\n caseroot=\"roms_marbl_example_case/\",\n start_date=\"20120103 12:00:00\",\n- end_date=\"20120104 12:00:00\",\n+ end_date=\"20120103 18:00:00\",\n )\n \n ## In a python session, execute:\n"},"problem_statement":{"kind":"string","value":"Create equivalent to `SchedulerJob` for local execution (`LocalProcess`?)\nFollowing #175 `ROMSComponent.run()` will return a `SchedulerJob` instance if the system uses a scheduler, or executes \"live\" while the user waits if not. For consistent behaviour we should return an instance of a class like `LocalProcess` that has a shared base class with `SchedulerJob` (something generic like `ExecutionHandler`). On the shared base class, common (abstract) methods like `updates` could be defined.\r\n\r\nThis way, no matter which system the user calls `.run()` on, they get the same behaviour - an object is returned on which certain queries can be made about the state of their ROMS run.\r\n\r\nSteps:\r\n\r\n- [x] Move scheduler/job.py -> execution/scheduler_job.py\r\n- [x] Define ExecutionHandler base class in execution/handler.py\r\n- [x] Create LocalProcess subclass in execution/local_process.py\r\n- [x] Update ROMSComponent.run to create and return a LocalProcess instance on a non-scheduler machine\r\n- [x] Add ExecutionHandler returned by ROMSComponent.run() to a private attribute to prevent premature post_run call"},"repo":{"kind":"string","value":"CWorthy-ocean/C-Star"},"test_patch":{"kind":"string","value":"diff --git a/cstar/tests/integration_tests/test_cstar_test_blueprints.py b/cstar/tests/integration_tests/test_cstar_test_blueprints.py\nindex f99db1b..3591b00 100644\n--- a/cstar/tests/integration_tests/test_cstar_test_blueprints.py\n+++ b/cstar/tests/integration_tests/test_cstar_test_blueprints.py\n@@ -78,5 +78,6 @@ class TestCStar:\n cstar_test_case.to_blueprint(tmpdir / \"test_blueprint_persistence.yaml\")\n cstar_test_case.build()\n cstar_test_case.pre_run()\n- cstar_test_case.run()\n+ test_process = cstar_test_case.run()\n+ test_process.updates(seconds=0, confirm_indefinite=False)\n cstar_test_case.post_run()\ndiff --git a/cstar/tests/unit_tests/execution/test_handler.py b/cstar/tests/unit_tests/execution/test_handler.py\nnew file mode 100644\nindex 0000000..40c0b4a\n--- /dev/null\n+++ b/cstar/tests/unit_tests/execution/test_handler.py\n@@ -0,0 +1,251 @@\n+import time\n+import threading\n+from unittest.mock import patch, PropertyMock\n+from pathlib import Path\n+from cstar.execution.handler import ExecutionHandler, ExecutionStatus\n+\n+\n+class MockExecutionHandler(ExecutionHandler):\n+ \"\"\"Mock implementation of `ExecutionHandler` for testing purposes.\"\"\"\n+\n+ def __init__(self, status, output_file):\n+ self._status = status\n+ self._output_file = Path(output_file)\n+\n+ @property\n+ def status(self):\n+ return self._status\n+\n+ @property\n+ def output_file(self):\n+ return self._output_file\n+\n+\n+class TestExecutionHandlerUpdates:\n+ \"\"\"Tests for the `updates` method in the `ExecutionHandler` class.\n+\n+ Tests\n+ -----\n+ test_updates_non_running_job\n+ Validates that `updates()` provides appropriate feedback when the job is not running.\n+ test_updates_running_job_with_tmp_file\n+ Verifies that `updates()` streams live updates from the output file when the job is running.\n+ test_updates_indefinite_with_seconds_param_0\n+ Confirms that `updates()` runs indefinitely when `seconds=0` and allows termination via user interruption.\n+ \"\"\"\n+\n+ def test_updates_non_running_job(self, tmp_path):\n+ \"\"\"Validates that `updates()` provides appropriate feedback when the job is not\n+ running.\n+\n+ This test ensures that if the job status is not `RUNNING`, the method informs\n+ the user and provides instructions for viewing the job output if applicable.\n+\n+ Mocks\n+ -----\n+ MockExecutionHandler.status\n+ Mocked to return `ExecutionStatus.COMPLETED`, simulating a non-running job.\n+ builtins.print\n+ Mocked to capture printed messages for validation.\n+\n+ Asserts\n+ -------\n+ - That the user is informed the job is not running.\n+ - That instructions for viewing the job output are provided if the job status\n+ is `COMPLETED` or similar.\n+ \"\"\"\n+ handler = MockExecutionHandler(\n+ ExecutionStatus.COMPLETED, tmp_path / \"mock_output.log\"\n+ )\n+\n+ with patch(\"builtins.print\") as mock_print:\n+ handler.updates(seconds=10)\n+ mock_print.assert_any_call(\n+ \"This job is currently not running (completed). Live updates cannot be provided.\"\n+ )\n+ mock_print.assert_any_call(\n+ f\"See {handler.output_file.resolve()} for job output\"\n+ )\n+\n+ def test_updates_running_job_with_tmp_file(self, tmp_path):\n+ \"\"\"Verifies that `updates()` streams live updates from the job's output file\n+ when the job is running.\n+\n+ This test creates a temporary output file and pre-populates it with initial\n+ content. Live updates are then appended to the file in real-time using a\n+ background thread, simulating a running job. The `updates()` method is tested\n+ to ensure it reads and prints both the pre-existing content and new updates.\n+\n+ Mocks\n+ -----\n+ MockExecutionHandler.status\n+ Mocked to return `ExecutionStatus.RUNNING`, simulating a running job.\n+ builtins.print\n+ Mocked to capture printed messages for validation.\n+\n+ Asserts\n+ -------\n+ - That all live updates appended to the output file are printed correctly.\n+ - That previously existing content in the file is also printed.\n+ - That the method properly interacts with the output file in real-time.\n+ \"\"\"\n+ # Create a temporary output file\n+ output_file = tmp_path / \"output.log\"\n+ initial_content = [\"First line\\n\"]\n+ live_updates = [\"Second line\\n\", \"Third line\\n\", \"Fourth line\\n\"]\n+\n+ # Write initial content to the file\n+ with output_file.open(\"w\") as f:\n+ f.writelines(initial_content)\n+\n+ handler = MockExecutionHandler(ExecutionStatus.RUNNING, output_file)\n+\n+ # Function to simulate appending live updates to the file\n+ def append_live_updates():\n+ with output_file.open(\"a\") as f:\n+ for line in live_updates:\n+ time.sleep(0.01) # Ensure `updates()` is actively reading\n+ f.write(line)\n+ f.flush() # Immediately write to disk\n+\n+ # Start the live update simulation in a background thread\n+ updater_thread = threading.Thread(target=append_live_updates, daemon=True)\n+ updater_thread.start()\n+\n+ # Run the `updates` method\n+ with patch(\"builtins.print\") as mock_print:\n+ handler.updates(seconds=0.25)\n+\n+ # Ensure both initial and live update lines are printed\n+ for line in live_updates:\n+ mock_print.assert_any_call(line, end=\"\")\n+\n+ # Ensure the thread finishes before the test ends\n+ updater_thread.join()\n+\n+ def test_updates_indefinite_with_seconds_param_0(self, tmp_path):\n+ \"\"\"Confirms that `updates()` runs indefinitely when `seconds=0` and allows\n+ termination via user interruption.\n+\n+ This test creates a temporary output file and pre-populates it with content.\n+ Unlike `test_updates_running_job_with_tmp_file`, this test does not continue\n+ to update the temporary file, so no updates are actually provided. The\n+ stream is then killed via a simulated `KeyboardInterrupt` and the test\n+ ensures a graceful exit.\n+\n+ Mocks\n+ -----\n+ MockExecutionHandler.status\n+ Mocked to return `ExecutionStatus.RUNNING`, simulating a running job.\n+ builtins.input\n+ Mocked to simulate user responses to the confirmation prompt.\n+ builtins.print\n+ Mocked to capture printed messages for validation.\n+ time.sleep\n+ Mocked to simulate a `KeyboardInterrupt` during indefinite updates.\n+\n+ Asserts\n+ -------\n+ - That the user is prompted to confirm running the updates indefinitely.\n+ - That the method handles user interruptions and prints the appropriate message.\n+ - That no additional file operations occur if the user denies the confirmation.\n+ \"\"\"\n+ # Create a temporary output file\n+ output_file = tmp_path / \"output.log\"\n+ content = [\"Line 1\\n\", \"Line 2\\n\", \"Line 3\\n\"]\n+\n+ # Write initial content to the file\n+ with output_file.open(\"w\") as f:\n+ f.writelines(content)\n+\n+ handler = MockExecutionHandler(ExecutionStatus.RUNNING, output_file)\n+\n+ # Mock the `status` property to return \"running\"\n+ with patch.object(\n+ MockExecutionHandler, \"status\", new_callable=PropertyMock\n+ ) as mock_status:\n+ mock_status.return_value = ExecutionStatus.RUNNING\n+\n+ # Patch input to simulate the confirmation prompt\n+ with patch(\"builtins.input\", side_effect=[\"y\"]) as mock_input:\n+ # Replace `time.sleep` with a side effect that raises KeyboardInterrupt\n+ with patch(\"builtins.print\") as mock_print:\n+ # Simulate a KeyboardInterrupt during the updates call\n+ with patch(\"time.sleep\", side_effect=KeyboardInterrupt):\n+ handler.updates(seconds=0) # Run updates indefinitely\n+\n+ # Assert that the \"stopped by user\" message was printed\n+ mock_print.assert_any_call(\n+ \"\\nLive status updates stopped by user.\"\n+ )\n+\n+ # Verify that the prompt was displayed to the user\n+ mock_input.assert_called_once_with(\n+ \"This will provide indefinite updates to your job. You can stop it anytime using Ctrl+C. \"\n+ \"Do you want to continue? (y/n): \"\n+ )\n+ # Patch input to simulate the confirmation prompt\n+ with patch(\"builtins.input\", side_effect=[\"n\"]) as mock_input:\n+ with patch(\"builtins.open\", create=True) as mock_open:\n+ handler.updates(seconds=0)\n+ mock_open.assert_not_called()\n+\n+ def test_updates_stops_when_status_changes(self, tmp_path):\n+ \"\"\"Verifies that `updates()` stops execution when `status` changes to non-\n+ RUNNING.\n+\n+ This test ensures:\n+ - The conditional block exits `updates` when `status` is not `RUNNING`.\n+ - Only lines added while the job is `RUNNING` are streamed.\n+ \"\"\"\n+ # Create a temporary output file\n+ output_file = tmp_path / \"output.log\"\n+ initial_content = [\"First line\\n\"]\n+ running_updates = [\"Second line\\n\", \"Third line\\n\"]\n+ completed_updates = [\"Fourth line\\n\", \"Fifth line\\n\"]\n+ # Write initial content to the file\n+ with output_file.open(\"w\") as f:\n+ f.writelines(initial_content)\n+\n+ # Initialize the handler with status `RUNNING`\n+ handler = MockExecutionHandler(ExecutionStatus.RUNNING, output_file)\n+\n+ # Function to simulate appending live updates and changing status\n+ def append_updates_and_change_status():\n+ with output_file.open(\"a\") as f:\n+ for line in running_updates:\n+ time.sleep(0.1) # Ensure updates() is actively reading\n+ f.write(line)\n+ f.flush()\n+\n+ # Change the status to `COMPLETED` after writing running updates\n+ time.sleep(0.2)\n+ handler._status = ExecutionStatus.COMPLETED\n+ for line in completed_updates:\n+ time.sleep(0.1)\n+ f.write(line)\n+ f.flush()\n+\n+ # Start the background thread to append updates and change status\n+ updater_thread = threading.Thread(\n+ target=append_updates_and_change_status, daemon=True\n+ )\n+ updater_thread.start()\n+\n+ # Run the `updates` method\n+ with patch(\"builtins.print\") as mock_print:\n+ handler.updates(seconds=0, confirm_indefinite=False)\n+\n+ # Verify that only lines from `running_updates` were printed\n+ printed_calls = [call[0][0] for call in mock_print.call_args_list]\n+ # print(printed_calls)\n+\n+ for line in running_updates:\n+ assert line in printed_calls\n+\n+ # Verify that lines from `completed_updates` were not printed\n+ for line in completed_updates:\n+ assert line not in printed_calls\n+\n+ # Ensure the thread finishes before the test ends\n+ updater_thread.join()\ndiff --git a/cstar/tests/unit_tests/execution/test_local_process.py b/cstar/tests/unit_tests/execution/test_local_process.py\nnew file mode 100644\nindex 0000000..ad50f05\n--- /dev/null\n+++ b/cstar/tests/unit_tests/execution/test_local_process.py\n@@ -0,0 +1,392 @@\n+from unittest.mock import MagicMock, patch\n+from pathlib import Path\n+from cstar.execution.local_process import LocalProcess, ExecutionStatus\n+import subprocess\n+\n+\n+class TestLocalProcess:\n+ \"\"\"Tests for the `LocalProcess` class.\n+\n+ This test class covers the functionality of the `LocalProcess` class, which is a subclass\n+ of `ExecutionHandler` designed to manage task execution in a local subprocess. It validates the\n+ class's behavior across its lifecycle, including initialization, starting processes,\n+ monitoring status, and cancellation.\n+\n+ Tests\n+ -----\n+ test_initialization_defaults\n+ Ensures that default attributes are correctly assigned during initialization.\n+ test_start_success\n+ Verifies that the subprocess starts successfully with valid commands and updates the status.\n+ test_status\n+ Confirms the `status` property reflects the process's lifecycle states (e.g., RUNNING, COMPLETED, FAILED).\n+ test_status_failed_closes_file_handle\n+ Ensures that a failed process closes the output file handle and updates the status to FAILED.\n+ test_status_unknown_no_returncode\n+ Validates that the status is `UNKNOWN` when the subprocess state cannot be determined.\n+ test_cancel_graceful_termination\n+ Ensures that `cancel` gracefully terminates a running process using `terminate` without requiring `kill`.\n+ test_cancel_forceful_termination\n+ Confirms that `cancel` forcefully terminates a process using `kill` after `terminate` times out.\n+ test_cancel_non_running_process\n+ Validates that `cancel` does not attempt to terminate or kill a non-running process and provides feedback.\n+ \"\"\"\n+\n+ def setup_method(self, method):\n+ \"\"\"Sets up reusable parameters and paths for tests in `TestLocalProcess`.\n+\n+ This method initializes common attributes for creating a `LocalProcess`\n+ instance, including the commands to execute, the output file path, and\n+ the run directory.\n+\n+ Parameters\n+ ----------\n+ method : Callable\n+ The test method being executed. This parameter is part of the pytest\n+ `setup_method` signature but is not used in this setup.\n+\n+ Attributes\n+ ----------\n+ - commands : str\n+ The shell command(s) to execute.\n+ \"\"\"\n+ self.commands = \"echo Hello, World\"\n+\n+ def test_initialization_defaults(self, tmp_path):\n+ \"\"\"Ensures that default attributes are correctly applied during initialization.\n+\n+ This test verifies that if `run_path` and `output_file` are not explicitly\n+ provided, `LocalProcess` assigns default values based on the current\n+ working directory.\n+\n+ Asserts\n+ -------\n+ - That `run_path` defaults to `Path.cwd()`.\n+ - That `output_file` is auto-generated with a timestamped name.\n+ \"\"\"\n+ process = LocalProcess(commands=self.commands, run_path=None, output_file=None)\n+ assert process.run_path == Path.cwd()\n+ assert process.output_file.name.startswith(\"cstar_process_\")\n+ assert process.status == ExecutionStatus.UNSUBMITTED\n+\n+ @patch(\"subprocess.Popen\")\n+ def test_start_success(self, mock_popen, tmp_path):\n+ \"\"\"Verifies that the subprocess starts successfully with valid commands.\n+\n+ This test ensures that the `start` method:\n+ - Initializes a subprocess with the correct parameters (commands, working directory).\n+ - Redirects the standard output and error to the specified output file.\n+ - Updates the `status` property to `RUNNING`.\n+\n+ Mocks\n+ -----\n+ subprocess.Popen\n+ Mocked to simulate a successful subprocess startup.\n+\n+ Asserts\n+ -------\n+ - That the subprocess is called with the correct arguments.\n+ - That the `status` property reflects the `RUNNING` state after startup.\n+ \"\"\"\n+ mock_popen.return_value.poll.return_value = None # Simulate running process\n+ process = LocalProcess(\n+ commands=self.commands,\n+ run_path=tmp_path,\n+ output_file=tmp_path / \"output.log\",\n+ )\n+\n+ with patch(\"builtins.open\", MagicMock()) as mock_open:\n+ process.start()\n+ mock_open.assert_called_once_with(process.output_file, \"w\")\n+\n+ mock_popen.assert_called_once_with(\n+ self.commands.split(),\n+ cwd=tmp_path,\n+ stdin=subprocess.PIPE,\n+ stdout=mock_open.return_value,\n+ stderr=subprocess.STDOUT,\n+ )\n+ assert process.status == ExecutionStatus.RUNNING\n+\n+ @patch(\"subprocess.Popen\")\n+ def test_status(self, mock_popen, tmp_path):\n+ \"\"\"Tests that the `status` property reflects the subprocess lifecycle.\n+\n+ This test covers the following states:\n+ - `UNSUBMITTED`: Before `start()` is called.\n+ - `RUNNING`: After `start()` is called and the process is active.\n+ - `COMPLETED`: After the process terminates successfully.\n+ - `FAILED`: After the process terminates with a non-zero return code.\n+ - `UNKNOWN`: When the process state is indeterminate.\n+\n+ Mocks\n+ -----\n+ subprocess.Popen\n+ Mocked to simulate the subprocess lifecycle.\n+\n+ Asserts\n+ -------\n+ - That the `status` property reflects the correct `ExecutionStatus` for\n+ each stage of the process lifecycle.\n+ \"\"\"\n+ # Mock subprocess behavior\n+ mock_process = MagicMock()\n+ mock_popen.return_value = mock_process\n+\n+ # Initial state: UNSUBMITTED\n+ process = LocalProcess(\n+ commands=self.commands,\n+ run_path=tmp_path,\n+ output_file=tmp_path / \"output.log\",\n+ )\n+ assert process.status == ExecutionStatus.UNSUBMITTED\n+\n+ # After starting: RUNNING\n+ mock_process.poll.return_value = None # Simulate running process\n+ process.start()\n+ assert process.status == ExecutionStatus.RUNNING\n+\n+ # After completion: COMPLETED\n+ mock_process.poll.return_value = 0 # Simulate successful termination\n+ mock_process.returncode = 0\n+ assert process.status == ExecutionStatus.COMPLETED\n+\n+ # After failure: FAILED\n+ mock_process.poll.return_value = 1 # Simulate unsuccessful termination\n+ mock_process.returncode = 1\n+ assert process.status == ExecutionStatus.FAILED\n+\n+ # Indeterminate state: UNKNOWN\n+ mock_process.returncode = None # Indeterminate state\n+ process._process = mock_process # Ensure process is assigned\n+ assert process.status == ExecutionStatus.UNKNOWN\n+\n+ @patch(\"subprocess.Popen\")\n+ def test_status_failed_closes_file_handle(self, mock_popen, tmp_path):\n+ \"\"\"Verifies that a failed process closes the output file handle.\n+\n+ This test ensures:\n+ - The `_output_file_handle` is closed and set to `None` after failure.\n+ - The status is set to `ExecutionStatus.FAILED`.\n+\n+ Mocks\n+ -----\n+ subprocess.Popen\n+ Mocked to simulate a failed subprocess.\n+\n+ Asserts\n+ -------\n+ - That `_output_file_handle.close()` is called.\n+ - That `_output_file_handle` is set to `None`.\n+ - That the status is `FAILED`.\n+ \"\"\"\n+ # Mock subprocess behavior\n+ mock_process = MagicMock()\n+ mock_popen.return_value = mock_process\n+ mock_process.returncode = 1 # Process failed\n+\n+ # Create the LocalProcess instance\n+ process = LocalProcess(\n+ commands=self.commands,\n+ run_path=tmp_path,\n+ output_file=tmp_path / \"output.log\",\n+ )\n+ process._process = mock_process\n+\n+ # Mock the output file handle\n+ mock_file_handle = MagicMock()\n+ process._output_file_handle = mock_file_handle\n+\n+ # Check the status\n+ assert process.status == ExecutionStatus.FAILED\n+ mock_file_handle.close.assert_called_once() # Ensure the file handle is closed\n+ assert process._output_file_handle is None # Ensure the file handle is cleared\n+\n+ @patch(\"subprocess.Popen\")\n+ def test_cancel_graceful_termination(self, mock_popen, tmp_path):\n+ \"\"\"Ensures that the `cancel` method gracefully terminates a running process.\n+\n+ This test verifies:\n+ - `terminate()` is called to stop the process.\n+ - `kill()` is not called when `terminate()` succeeds.\n+ - The `status` property is updated to `CANCELLED`.\n+\n+ Mocks\n+ -----\n+ subprocess.Popen\n+ Mocked to simulate the subprocess lifecycle.\n+\n+ Asserts\n+ -------\n+ - That `terminate()` is called to stop the process.\n+ - That `kill()` is not called if `terminate()` succeeds.\n+ - That the `status` property reflects the `CANCELLED` state after cancellation.\n+ \"\"\"\n+ # Mock subprocess behavior\n+ mock_process = MagicMock()\n+ mock_popen.return_value = mock_process\n+\n+ # Simulate a running process\n+ mock_process.poll.return_value = None # Process is active\n+ process = LocalProcess(\n+ commands=self.commands,\n+ run_path=tmp_path,\n+ output_file=tmp_path / \"output.log\",\n+ )\n+ process.start()\n+\n+ # Verify the process has started\n+ assert process.status == ExecutionStatus.RUNNING\n+ assert process._process is mock_process # Ensure the process was assigned\n+\n+ # Test graceful termination\n+ process.cancel()\n+ mock_process.terminate.assert_called_once() # Ensure terminate() was called\n+ mock_process.kill.assert_not_called() # kill() should not be called if terminate succeeds\n+ assert process.status == ExecutionStatus.CANCELLED\n+\n+ @patch(\"subprocess.Popen\")\n+ def test_cancel_forceful_termination(self, mock_popen, tmp_path):\n+ \"\"\"Ensures that the `cancel` method forcefully terminates a process if needed.\n+\n+ This test verifies:\n+ - `terminate()` is called but fails with a `TimeoutExpired` exception.\n+ - `kill()` is called as a fallback to stop the process.\n+ - The `status` property is updated to `CANCELLED`.\n+\n+ Mocks\n+ -----\n+ subprocess.Popen\n+ Mocked to simulate the subprocess lifecycle.\n+\n+ Asserts\n+ -------\n+ - That `terminate()` is called to stop the process.\n+ - That `kill()` is called if `terminate()` fails.\n+ - That the `status` property reflects the `CANCELLED` state after cancellation.\n+ \"\"\"\n+ # Mock subprocess behavior\n+ mock_process = MagicMock()\n+ mock_popen.return_value = mock_process\n+\n+ # Simulate a running process\n+ mock_process.poll.return_value = None # Process is active\n+ mock_process.terminate.side_effect = subprocess.TimeoutExpired(\n+ cmd=\"mock\", timeout=5\n+ ) # Simulate timeout\n+ process = LocalProcess(\n+ commands=self.commands,\n+ run_path=tmp_path,\n+ output_file=tmp_path / \"output.log\",\n+ )\n+ process.start()\n+\n+ # Verify the process has started\n+ assert process.status == ExecutionStatus.RUNNING\n+ assert process._process is mock_process # Ensure the process was assigned\n+\n+ # Test forceful termination\n+ process.cancel()\n+ mock_process.terminate.assert_called_once() # Ensure terminate() was called\n+ mock_process.kill.assert_called_once() # Ensure kill() was called after terminate timeout\n+ assert process.status == ExecutionStatus.CANCELLED\n+\n+ @patch(\"subprocess.Popen\")\n+ @patch(\"builtins.print\")\n+ def test_cancel_non_running_process(self, mock_print, mock_popen, tmp_path):\n+ \"\"\"Ensures that `cancel` does not attempt to terminate a non-running process.\n+\n+ This test verifies:\n+ - The `print` statement is invoked with the correct message.\n+ - Neither `terminate` nor `kill` is called.\n+\n+ Mocks\n+ -----\n+ subprocess.Popen\n+ Mocked to simulate the subprocess lifecycle.\n+ builtins.print\n+ Mocked to capture printed messages for validation.\n+\n+ Asserts\n+ -------\n+ - That the `print` statement outputs the correct message.\n+ - That neither `terminate` nor `kill` is called.\n+ \"\"\"\n+ # Mock subprocess behavior\n+ mock_process = MagicMock()\n+ mock_popen.return_value = mock_process\n+\n+ # Simulate a completed process\n+ mock_process.poll.return_value = 0 # Process has completed\n+ process = LocalProcess(\n+ commands=self.commands,\n+ run_path=tmp_path,\n+ output_file=tmp_path / \"output.log\",\n+ )\n+ process._process = mock_process # Directly assign the mock process\n+\n+ # Test cancel on a completed process\n+ process.cancel()\n+ mock_print.assert_called_once_with(\n+ f\"Cannot cancel job with status '{process.status}'\"\n+ )\n+ mock_process.terminate.assert_not_called()\n+ mock_process.kill.assert_not_called()\n+\n+ @patch(\"subprocess.Popen\")\n+ @patch(\"builtins.print\")\n+ def test_wait_running_process(self, mock_print, mock_popen, tmp_path):\n+ \"\"\"Ensures that `wait` correctly waits for a running process to complete.\n+\n+ This test verifies:\n+ - `wait()` is called on the process when it is running.\n+ - `print` is not called for valid process states.\n+ - The process's final status is updated correctly.\n+ \"\"\"\n+ # Mock subprocess behavior\n+ mock_process = MagicMock()\n+ mock_popen.return_value = mock_process\n+\n+ # Simulate a running process\n+ mock_process.poll.return_value = None # Process is active\n+ process = LocalProcess(\n+ commands=\"sleep 1\",\n+ run_path=tmp_path,\n+ output_file=tmp_path / \"output.log\",\n+ )\n+ process._process = mock_process # Assign mock process\n+ process._cancelled = False\n+\n+ # Test wait on a running process\n+ process.wait()\n+ mock_process.wait.assert_called_once() # Ensure `wait` was called on the process\n+ assert not mock_print.called # Confirm `print` was not called\n+\n+ @patch(\"subprocess.Popen\")\n+ @patch(\"builtins.print\")\n+ def test_wait_non_running_process(self, mock_print, mock_popen, tmp_path):\n+ \"\"\"Ensures that `wait` does not perform actions for non-running processes.\n+\n+ This test verifies:\n+ - `wait()` prints an appropriate message for non-running processes.\n+ - `wait()` does not attempt to wait on processes that are not running.\n+ \"\"\"\n+ # Mock subprocess behavior\n+ mock_process = MagicMock()\n+ mock_popen.return_value = mock_process\n+\n+ # Test wait on a cancelled process\n+ mock_process.poll.return_value = None # Process is active\n+ process = LocalProcess(\n+ commands=\"sleep 1\",\n+ run_path=tmp_path,\n+ output_file=tmp_path / \"output.log\",\n+ )\n+ process._process = mock_process # Assign mock process\n+ process._cancelled = True\n+\n+ process.wait()\n+ mock_print.assert_called_once_with(\n+ f\"cannot wait for process with execution status '{ExecutionStatus.CANCELLED}'\"\n+ )\n+ mock_process.wait.assert_not_called()\ndiff --git a/cstar/tests/unit_tests/scheduler/test_pbs_job.py b/cstar/tests/unit_tests/execution/test_pbs_job.py\nsimilarity index 89%\nrename from cstar/tests/unit_tests/scheduler/test_pbs_job.py\nrename to cstar/tests/unit_tests/execution/test_pbs_job.py\nindex b6335c4..52267ec 100644\n--- a/cstar/tests/unit_tests/scheduler/test_pbs_job.py\n+++ b/cstar/tests/unit_tests/execution/test_pbs_job.py\n@@ -2,8 +2,8 @@ import json\n import pytest\n from unittest.mock import MagicMock, patch, PropertyMock\n from cstar.system.scheduler import PBSScheduler, PBSQueue\n-from cstar.scheduler.job import (\n- JobStatus,\n+from cstar.execution.scheduler_job import (\n+ ExecutionStatus,\n PBSJob,\n )\n \n@@ -62,6 +62,7 @@ class TestPBSJob:\n self.scheduler = PBSScheduler(\n queues=[self.mock_queue],\n primary_queue_name=\"test_queue\",\n+ other_scheduler_directives={\"mock_directive\": \"mock_value\"},\n )\n \n # Define common job parameters\n@@ -77,20 +78,12 @@ class TestPBSJob:\n \"queue_name\": \"test_queue\",\n }\n \n- @patch(\n- \"cstar.system.manager.CStarSystemManager.scheduler\", new_callable=PropertyMock\n- )\n- def test_script(self, mock_scheduler):\n+ def test_script(self): # , mock_scheduler):\n \"\"\"Verifies that the PBS job script is correctly generated with all directives.\n \n This test checks that the `script` property of `PBSJob` produces the expected\n job script, including user-provided parameters and any scheduler directives.\n \n- Mocks\n- -----\n- CStarSystemManager.scheduler\n- Mocked to simulate a scheduler with specific directives (`mock_directive`).\n-\n Asserts\n -------\n - That the generated job script matches the expected content, including:\n@@ -99,12 +92,6 @@ class TestPBSJob:\n - Commands to execute in the job script (`echo Hello, World`).\n \"\"\"\n \n- # Mock the scheduler and its attributes\n- mock_scheduler.return_value = MagicMock()\n- mock_scheduler.return_value.other_scheduler_directives = {\n- \"mock_directive\": \"mock_value\"\n- }\n-\n # Initialize a PBSJob\n job = PBSJob(**self.common_job_params)\n \n@@ -129,10 +116,7 @@ class TestPBSJob:\n ), f\"Script mismatch!\\nExpected:\\n{expected_script}\\n\\nGot:\\n{job.script}\"\n \n @patch(\"subprocess.run\")\n- @patch(\n- \"cstar.system.manager.CStarSystemManager.scheduler\", new_callable=PropertyMock\n- )\n- def test_submit(self, mock_scheduler, mock_subprocess, tmp_path):\n+ def test_submit(self, mock_subprocess, tmp_path):\n \"\"\"Ensures that the `submit` method properly submits a PBS job and extracts the\n job ID.\n \n@@ -145,8 +129,6 @@ class TestPBSJob:\n -----\n subprocess.run\n Mocked to simulate the execution of the `qsub` command and its output.\n- CStarSystemManager.scheduler\n- Mocked to simulate a scheduler with no additional directives.\n \n Asserts\n -------\n@@ -155,10 +137,6 @@ class TestPBSJob:\n - That the `qsub` command is executed with the correct arguments.\n \"\"\"\n \n- # Mock scheduler attributes\n- mock_scheduler.return_value = MagicMock()\n- mock_scheduler.return_value.other_scheduler_directives = {}\n-\n # Mock subprocess.run for qsub\n mock_subprocess.return_value = MagicMock(\n returncode=0, stdout=\"12345.mockserver\\n\", stderr=\"\"\n@@ -186,12 +164,8 @@ class TestPBSJob:\n ],\n )\n @patch(\"subprocess.run\")\n- @patch(\n- \"cstar.system.manager.CStarSystemManager.scheduler\", new_callable=PropertyMock\n- )\n def test_submit_raises(\n self,\n- mock_scheduler,\n mock_subprocess,\n returncode,\n stdout,\n@@ -214,18 +188,12 @@ class TestPBSJob:\n -----\n subprocess.run\n Mocked to simulate the execution of the `qsub` command.\n- CStarSystemManager.scheduler\n- Mocked to simulate a scheduler with no additional directives.\n \n Asserts\n -------\n - That a `RuntimeError` is raised with the expected error message when submission fails.\n \"\"\"\n \n- # Mock scheduler attributes\n- mock_scheduler.return_value = MagicMock()\n- mock_scheduler.return_value.other_scheduler_directives = {}\n-\n # Mock subprocess.run for qsub\n mock_subprocess.return_value = MagicMock(\n returncode=returncode, stdout=stdout, stderr=stderr\n@@ -247,7 +215,7 @@ class TestPBSJob:\n job.submit()\n \n @patch(\"subprocess.run\")\n- @patch(\"cstar.scheduler.job.PBSJob.status\", new_callable=PropertyMock)\n+ @patch(\"cstar.execution.scheduler_job.PBSJob.status\", new_callable=PropertyMock)\n def test_cancel_running_job(self, mock_status, mock_subprocess, tmp_path):\n \"\"\"Tests that the `cancel` method successfully cancels a running PBS job.\n \n@@ -257,7 +225,7 @@ class TestPBSJob:\n Mocks\n -----\n PBSJob.status\n- Mocked to return `JobStatus.RUNNING`, simulating a running job.\n+ Mocked to return `ExecutionStatus.RUNNING`, simulating a running job.\n subprocess.run\n Mocked to simulate successful execution of the `qdel` command.\n \n@@ -268,7 +236,7 @@ class TestPBSJob:\n \"\"\"\n \n # Mock the status to \"running\"\n- mock_status.return_value = JobStatus.RUNNING\n+ mock_status.return_value = ExecutionStatus.RUNNING\n \n # Mock subprocess.run for successful cancellation\n mock_subprocess.return_value = MagicMock(returncode=0, stdout=\"\", stderr=\"\")\n@@ -293,7 +261,7 @@ class TestPBSJob:\n )\n \n @patch(\"subprocess.run\")\n- @patch(\"cstar.scheduler.job.PBSJob.status\", new_callable=PropertyMock)\n+ @patch(\"cstar.execution.scheduler_job.PBSJob.status\", new_callable=PropertyMock)\n @patch(\"builtins.print\")\n def test_cancel_completed_job(\n self, mock_print, mock_status, mock_subprocess, tmp_path\n@@ -339,7 +307,7 @@ class TestPBSJob:\n \n ##\n @patch(\"subprocess.run\")\n- @patch(\"cstar.scheduler.job.PBSJob.status\", new_callable=PropertyMock)\n+ @patch(\"cstar.execution.scheduler_job.PBSJob.status\", new_callable=PropertyMock)\n def test_cancel_failure(self, mock_status, mock_subprocess, tmp_path):\n \"\"\"Ensures that a `RuntimeError` is raised if the `qdel` command fails to cancel\n a job.\n@@ -351,7 +319,7 @@ class TestPBSJob:\n Mocks\n -----\n PBSJob.status\n- Mocked to return `JobStatus.RUNNING`, simulating a running job.\n+ Mocked to return `ExecutionStatus.RUNNING`, simulating a running job.\n subprocess.run\n Mocked to simulate a failed execution of the `qdel` command, returning a non-zero exit code.\n \n@@ -361,7 +329,7 @@ class TestPBSJob:\n - That the `qdel` command is called with the correct job ID and parameters.\n \"\"\"\n # Mock the status to \"running\"\n- mock_status.return_value = JobStatus.RUNNING\n+ mock_status.return_value = ExecutionStatus.RUNNING\n \n # Mock subprocess.run for qdel failure\n mock_subprocess.return_value = MagicMock(\n@@ -388,7 +356,7 @@ class TestPBSJob:\n (\n {\"Jobs\": {\"12345\": {\"job_state\": \"Q\"}}},\n None,\n- JobStatus.PENDING,\n+ ExecutionStatus.PENDING,\n False,\n None,\n None,\n@@ -396,7 +364,7 @@ class TestPBSJob:\n (\n {\"Jobs\": {\"12345\": {\"job_state\": \"R\"}}},\n None,\n- JobStatus.RUNNING,\n+ ExecutionStatus.RUNNING,\n False,\n None,\n None,\n@@ -404,7 +372,7 @@ class TestPBSJob:\n (\n {\"Jobs\": {\"12345\": {\"job_state\": \"C\"}}},\n None,\n- JobStatus.COMPLETED,\n+ ExecutionStatus.COMPLETED,\n False,\n None,\n None,\n@@ -412,7 +380,7 @@ class TestPBSJob:\n (\n {\"Jobs\": {\"12345\": {\"job_state\": \"H\"}}},\n None,\n- JobStatus.HELD,\n+ ExecutionStatus.HELD,\n False,\n None,\n None,\n@@ -420,7 +388,7 @@ class TestPBSJob:\n (\n {\"Jobs\": {\"12345\": {\"job_state\": \"F\", \"Exit_status\": 1}}},\n None,\n- JobStatus.FAILED,\n+ ExecutionStatus.FAILED,\n False,\n None,\n None,\n@@ -428,7 +396,7 @@ class TestPBSJob:\n (\n {\"Jobs\": {\"12345\": {\"job_state\": \"F\", \"Exit_status\": 0}}},\n None,\n- JobStatus.COMPLETED,\n+ ExecutionStatus.COMPLETED,\n False,\n None,\n None,\n@@ -452,7 +420,7 @@ class TestPBSJob:\n (\n {\"Jobs\": {\"12345\": {\"job_state\": \"E\"}}},\n None,\n- JobStatus.ENDING,\n+ ExecutionStatus.ENDING,\n False,\n None,\n None,\n@@ -460,7 +428,7 @@ class TestPBSJob:\n (\n {\"Jobs\": {\"12345\": {\"job_state\": \"X\"}}},\n None,\n- JobStatus.UNKNOWN,\n+ ExecutionStatus.UNKNOWN,\n False,\n None,\n None,\ndiff --git a/cstar/tests/unit_tests/scheduler/test_scheduler_job.py b/cstar/tests/unit_tests/execution/test_scheduler_job.py\nsimilarity index 76%\nrename from cstar/tests/unit_tests/scheduler/test_scheduler_job.py\nrename to cstar/tests/unit_tests/execution/test_scheduler_job.py\nindex 5deb475..72799a5 100644\n--- a/cstar/tests/unit_tests/scheduler/test_scheduler_job.py\n+++ b/cstar/tests/unit_tests/execution/test_scheduler_job.py\n@@ -1,6 +1,4 @@\n-import time\n import pytest\n-import threading\n from unittest.mock import MagicMock, patch, PropertyMock\n from cstar.system.scheduler import (\n Scheduler,\n@@ -9,8 +7,7 @@ from cstar.system.scheduler import (\n SlurmScheduler,\n SlurmQOS,\n )\n-from cstar.scheduler.job import (\n- JobStatus,\n+from cstar.execution.scheduler_job import (\n SchedulerJob,\n PBSJob,\n SlurmJob,\n@@ -111,12 +108,6 @@ class TestSchedulerJobBase:\n system defaults.\n test_init_cpus_without_distribution_requirement\n Confirms that task distribution is skipped if the scheduler does not require it.\n- test_updates_non_running_job\n- Validates that `updates()` provides appropriate feedback when the job is not running.\n- test_updates_running_job_with_tmp_file\n- Verifies that `updates()` streams live updates from the output file when the job is running.\n- test_updates_indefinite_with_seconds_param_0\n- Confirms that `updates()` runs indefinitely when `seconds=0` and allows termination via user interruption.\n \"\"\"\n \n def setup_method(self, method):\n@@ -417,173 +408,6 @@ class TestSchedulerJobBase:\n assert job.nodes == expected_nodes\n assert job.cpus_per_node == expected_cpus_per_node\n \n- def test_updates_non_running_job(self):\n- \"\"\"Validates that `updates()` provides appropriate feedback when the job is not\n- running.\n-\n- This test ensures that if the job status is not `RUNNING`, the method informs\n- the user and provides instructions for viewing the job output if applicable.\n-\n- Mocks\n- -----\n- MockSchedulerJob.status\n- Mocked to return `JobStatus.COMPLETED`, simulating a non-running job.\n- builtins.print\n- Mocked to capture printed messages for validation.\n-\n- Asserts\n- -------\n- - That the user is informed the job is not running.\n- - That instructions for viewing the job output are provided if the job status\n- is `COMPLETED` or similar.\n- \"\"\"\n-\n- job = MockSchedulerJob(**self.common_job_params)\n-\n- with patch.object(\n- MockSchedulerJob, \"status\", new_callable=PropertyMock\n- ) as mock_status:\n- mock_status.return_value = JobStatus.COMPLETED\n- with patch(\"builtins.print\") as mock_print:\n- job.updates(seconds=10)\n- mock_print.assert_any_call(\n- \"This job is currently not running (completed). Live updates cannot be provided.\"\n- )\n- mock_print.assert_any_call(\n- f\"See {job.output_file.resolve()} for job output\"\n- )\n-\n- def test_updates_running_job_with_tmp_file(self, tmp_path):\n- \"\"\"Verifies that `updates()` streams live updates from the job's output file\n- when the job is running.\n-\n- This test creates a temporary output file and pre-populates it with initial\n- content. Live updates are then appended to the file in real-time using a\n- background thread, simulating a running job. The `updates()` method is tested\n- to ensure it reads and prints both the pre-existing content and new updates.\n-\n- Mocks\n- -----\n- MockSchedulerJob.status\n- Mocked to return `JobStatus.RUNNING`, simulating a running job.\n- builtins.print\n- Mocked to capture printed messages for validation.\n-\n- Asserts\n- -------\n- - That all live updates appended to the output file are printed correctly.\n- - That previously existing content in the file is also printed.\n- - That the method properly interacts with the output file in real-time.\n- \"\"\"\n-\n- # Create a temporary output file\n- output_file = tmp_path / \"output.log\"\n- initial_content = [\"First line\\n\"]\n- live_updates = [\"Second line\\n\", \"Third line\\n\", \"Fourth line\\n\"]\n- print(output_file)\n- # Write initial content to the file\n- with output_file.open(\"w\") as f:\n- f.writelines(initial_content)\n-\n- job = MockSchedulerJob(**self.common_job_params, output_file=output_file)\n-\n- # Mock the `status` property to return \"running\"\n- with patch.object(\n- MockSchedulerJob, \"status\", new_callable=PropertyMock\n- ) as mock_status:\n- mock_status.return_value = JobStatus.RUNNING\n-\n- # Function to simulate appending live updates to the file\n- def append_live_updates():\n- with output_file.open(\"a\") as f:\n- for line in live_updates:\n- time.sleep(0.01) # Ensure `updates()` is actively reading\n- f.write(line)\n- f.flush() # Immediately write to disk\n-\n- # Start the live update simulation in a background thread\n- updater_thread = threading.Thread(target=append_live_updates, daemon=True)\n- updater_thread.start()\n-\n- # Run the `updates` method\n- with patch(\"builtins.print\") as mock_print:\n- job.updates(seconds=0.25)\n-\n- # Ensure both initial and live update lines are printed\n- for line in live_updates:\n- mock_print.assert_any_call(line, end=\"\")\n-\n- # Ensure the thread finishes before the test ends\n- updater_thread.join()\n-\n- ##\n-\n- def test_updates_indefinite_with_seconds_param_0(self, tmp_path):\n- \"\"\"Confirms that `updates()` runs indefinitely when `seconds=0` and allows\n- termination via user interruption.\n-\n- This test creates a temporary output file and pre-populates it with content.\n- Unlike `test_updates_running_job_with_tmp_file`, this test does not continue\n- to update the temporary file, so no updates are actually provided. The\n- stream is then killed via a simulated `KeyboardInterrupt` and the test\n- ensures a graceful exit\n-\n- Mocks\n- -----\n- MockSchedulerJob.status\n- Mocked to return `JobStatus.RUNNING`, simulating a running job.\n- builtins.input\n- Mocked to simulate user responses to the confirmation prompt.\n- builtins.print\n- Mocked to capture printed messages for validation.\n- time.sleep\n- Mocked to simulate a `KeyboardInterrupt` during indefinite updates.\n-\n- Asserts\n- -------\n- - That the user is prompted to confirm running the updates indefinitely.\n- - That the method handles user interruptions and prints the appropriate message.\n- - That no additional file operations occur if the user denies the confirmation.\n- \"\"\"\n- # Create a temporary output file\n- output_file = tmp_path / \"output.log\"\n- content = [\"Line 1\\n\", \"Line 2\\n\", \"Line 3\\n\"]\n-\n- # Write initial content to the file\n- with output_file.open(\"w\") as f:\n- f.writelines(content)\n-\n- job = MockSchedulerJob(**self.common_job_params, output_file=output_file)\n-\n- # Mock the `status` property to return \"running\"\n- with patch.object(\n- MockSchedulerJob, \"status\", new_callable=PropertyMock\n- ) as mock_status:\n- mock_status.return_value = JobStatus.RUNNING\n-\n- # Patch input to simulate the confirmation prompt\n- with patch(\"builtins.input\", side_effect=[\"y\"]) as mock_input:\n- # Replace `time.sleep` with a side effect that raises KeyboardInterrupt\n- with patch(\"builtins.print\") as mock_print:\n- # Simulate a KeyboardInterrupt during the updates call\n- with patch(\"time.sleep\", side_effect=KeyboardInterrupt):\n- job.updates(seconds=0) # Run updates indefinitely\n-\n- # Assert that the \"stopped by user\" message was printed\n- mock_print.assert_any_call(\n- \"\\nLive status updates stopped by user.\"\n- )\n- # Verify that the prompt was displayed to the user\n- mock_input.assert_called_once_with(\n- \"This will provide indefinite updates to your job. You can stop it anytime using Ctrl+C. \"\n- \"Do you want to continue? (y/n): \"\n- )\n- # Patch input to simulate the confirmation prompt\n- with patch(\"builtins.input\", side_effect=[\"n\"]) as mock_input:\n- with patch(\"builtins.open\", create=True) as mock_open:\n- job.updates(seconds=0)\n- mock_open.assert_not_called()\n-\n \n ##\n @pytest.mark.filterwarnings(\ndiff --git a/cstar/tests/unit_tests/scheduler/test_slurm_job.py b/cstar/tests/unit_tests/execution/test_slurm_job.py\nsimilarity index 95%\nrename from cstar/tests/unit_tests/scheduler/test_slurm_job.py\nrename to cstar/tests/unit_tests/execution/test_slurm_job.py\nindex de68b17..55d0285 100644\n--- a/cstar/tests/unit_tests/scheduler/test_slurm_job.py\n+++ b/cstar/tests/unit_tests/execution/test_slurm_job.py\n@@ -1,7 +1,7 @@\n import pytest\n from unittest.mock import MagicMock, patch, PropertyMock\n from cstar.system.scheduler import SlurmScheduler, SlurmQOS, SlurmPartition\n-from cstar.scheduler.job import SlurmJob, JobStatus\n+from cstar.execution.scheduler_job import SlurmJob, ExecutionStatus\n \n \n class TestSlurmJob:\n@@ -336,7 +336,7 @@ class TestSlurmJob:\n job.submit()\n \n @patch(\"subprocess.run\")\n- @patch(\"cstar.scheduler.job.SlurmJob.status\", new_callable=PropertyMock)\n+ @patch(\"cstar.execution.scheduler_job.SlurmJob.status\", new_callable=PropertyMock)\n def test_cancel(self, mock_status, mock_subprocess, tmp_path):\n \"\"\"Verifies that the `cancel` method cancels a SLURM job and raises an exception\n if it fails.\n@@ -365,7 +365,7 @@ class TestSlurmJob:\n run_path = tmp_path\n \n # Mock the status to simulate a running job\n- mock_status.return_value = JobStatus.RUNNING\n+ mock_status.return_value = ExecutionStatus.RUNNING\n \n # Mock the subprocess.run behavior for successful cancellation\n mock_subprocess.return_value = MagicMock(returncode=0, stdout=\"\", stderr=\"\")\n@@ -459,12 +459,24 @@ class TestSlurmJob:\n @pytest.mark.parametrize(\n \"job_id, sacct_output, return_code, expected_status, should_raise\",\n [\n- (None, \"\", 0, JobStatus.UNSUBMITTED, False), # Unsubmitted job\n- (12345, \"PENDING\\n\", 0, JobStatus.PENDING, False), # Pending job\n- (12345, \"RUNNING\\n\", 0, JobStatus.RUNNING, False), # Running job\n- (12345, \"COMPLETED\\n\", 0, JobStatus.COMPLETED, False), # Completed job\n- (12345, \"CANCELLED\\n\", 0, JobStatus.CANCELLED, False), # Cancelled job\n- (12345, \"FAILED\\n\", 0, JobStatus.FAILED, False), # Failed job\n+ (None, \"\", 0, ExecutionStatus.UNSUBMITTED, False), # Unsubmitted job\n+ (12345, \"PENDING\\n\", 0, ExecutionStatus.PENDING, False), # Pending job\n+ (12345, \"RUNNING\\n\", 0, ExecutionStatus.RUNNING, False), # Running job\n+ (\n+ 12345,\n+ \"COMPLETED\\n\",\n+ 0,\n+ ExecutionStatus.COMPLETED,\n+ False,\n+ ), # Completed job\n+ (\n+ 12345,\n+ \"CANCELLED\\n\",\n+ 0,\n+ ExecutionStatus.CANCELLED,\n+ False,\n+ ), # Cancelled job\n+ (12345, \"FAILED\\n\", 0, ExecutionStatus.FAILED, False), # Failed job\n (12345, \"\", 1, None, True), # sacct command failure\n ],\n )\n"},"meta":{"kind":"string","value":"{\n \"commit_name\": \"merge_commit\",\n \"failed_lite_validators\": [\n \"has_issue_reference\",\n \"has_added_files\",\n \"has_many_modified_files\",\n \"has_many_hunks\"\n ],\n \"has_test_patch\": true,\n \"is_lite\": false,\n \"llm_score\": {\n \"difficulty_score\": 2,\n \"issue_text_score\": 0,\n \"test_score\": 3\n },\n \"num_modified_files\": 10\n}"},"version":{"kind":"string","value":"0.0"},"install_config":{"kind":"string","value":"{\n \"env_vars\": null,\n \"env_yml_path\": [\n \"ci/environment.yml\"\n ],\n \"install\": \"pip install -e .\",\n \"log_parser\": \"parse_log_pytest\",\n \"no_use_env\": null,\n \"packages\": \"pytest\",\n \"pip_packages\": [\n \"pytest\"\n ],\n \"pre_install\": null,\n \"python\": \"3.10\",\n \"reqs_path\": null,\n \"test_cmd\": \"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W 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\"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_no_walltime_and_no_queue_max_walltime\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_walltime_provided_but_no_queue_max_walltime\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_no_walltime_but_queue_max_walltime_provided\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_walltime_exceeds_max_walltime\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_without_nodes_but_with_cpus_per_node\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_with_nodes_but_without_cpus_per_node\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_without_nodes_or_cpus_per_node\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_cpus_without_distribution_requirement[3-8-3-8]\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_cpus_without_distribution_requirement[None-8-None-8]\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_cpus_without_distribution_requirement[3-None-3-None]\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestSchedulerJobBase::test_init_cpus_without_distribution_requirement[None-None-None-None]\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestCalculateNodeDistribution::test_exact_division\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestCalculateNodeDistribution::test_partial_division\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestCalculateNodeDistribution::test_single_node\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestCalculateNodeDistribution::test_minimum_cores\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestCreateSchedulerJob::test_create_slurm_job\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestCreateSchedulerJob::test_create_pbs_job\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestCreateSchedulerJob::test_unsupported_scheduler\",\n \"cstar/tests/unit_tests/execution/test_scheduler_job.py::TestCreateSchedulerJob::test_missing_arguments\",\n \"cstar/tests/unit_tests/execution/test_slurm_job.py::TestSlurmJob::test_script_task_distribution_not_required\",\n \"cstar/tests/unit_tests/execution/test_slurm_job.py::TestSlurmJob::test_script_task_distribution_required\",\n \"cstar/tests/unit_tests/execution/test_slurm_job.py::TestSlurmJob::test_submit\",\n \"cstar/tests/unit_tests/execution/test_slurm_job.py::TestSlurmJob::test_submit_raises[-1-Non-zero\",\n 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The SQL console is powered by DuckDB WASM and runs entirely in the browser.\n-- Get started by typing a query or selecting a view from the options below.\nSELECT DISTINCT instance_id\nFROM test\nWHERE instance_id IN (\n '12rambau__sepal_ui-646',\n '15five__scim2-filter-parser-13',\n 'ARMmbed__mbed-tools-138',\n 'ARMmbed__mbed-tools-91',\n 'AzureAD__microsoft-authentication-library-for-python-530',\n 'Azure__azure-cli-1876',\n 'BAMWelDX__weldx-384',\n 'Bachmann1234__diff_cover-413',\n 'BoboTiG__ebook-reader-dict-2101',\n 'BoboTiG__ebook-reader-dict-2133',\n 'BoboTiG__ebook-reader-dict-2145',\n 'BoboTiG__ebook-reader-dict-2149',\n 'CODAIT__exchange-metadata-converter-25',\n 'CODAIT__exchange-metadata-converter-38',\n 'CORE-GATECH-GROUP__serpent-tools-377',\n 'CS-SI__eodag-634',\n 'David-Wobrock__sqlvalidator-43',\n 'Delgan__loguru-1236',\n 'Delgan__loguru-1299',\n 'Dorthu__openapi3-57',\n 'Duke-GCB__lando-169',\n 'Duke-GCB__lando-173',\n 'ESSS__conda-devenv-51',\n 'ESSS__oop-ext-21',\n 'Erotemic__ubelt-64',\n 'Fatal1ty__mashumaro-116',\n 'Fatal1ty__mashumaro-130',\n 'FirefighterBlu3__python-pam-32',\n 'GjjvdBurg__paper2remarkable-43',\n 'ansible__ansible-builder-336'\n)","title":"Selected Instance IDs from SWE-bench Dataset","createdAt":"2026-05-30T11:24:49.126Z","slug":"lyPeQCD","private":false,"justification":"Retrieves specific instance IDs from a test dataset, which is basic filtering that provides limited analytical value beyond identifying particular records.","viewNames":["test"]},{"views":[{"key":"default/test","displayName":"test","viewName":"test"}],"sql":"SELECT *\nFROM test\nWHERE EXTRACT(MONTH FROM created_at::DATE) IN (3, 4)\nLIMIT 100;","title":"March-April Test Entries","createdAt":"2025-12-21T18:14:18.229Z","slug":"IXwiSjK","private":false,"justification":"Retrieves the first 100 records created in March or April, providing limited insight into these specific months.","viewNames":["test"]},{"views":[{"key":"default/test","displayName":"test","viewName":"test"}],"sql":"SELECT DISTINCT repo FROM test;","title":"Unique Repositories in Tests","createdAt":"2025-09-14T18:04:37.719Z","slug":"-PidJjw","private":false,"justification":"Lists unique repository names from the dataset, providing a basic overview of the repositories present.","viewNames":["test"]},{"views":[{"key":"default/test","displayName":"test","viewName":"test"}],"sql":"-- The SQL console is powered by DuckDB WASM and runs entirely in the browser.\n-- Get started by typing a query or selecting a view from the options below.\nSELECT * FROM test where instance_id = 'oemof__tespy-653'","title":"Filter Test Data by Instance ID","createdAt":"2025-05-30T02:20:23.351Z","slug":"Mlmmb3M","private":false,"justification":"Retrieves all records for a specific instance, providing limited insight into the data structure but no broader analytical value.","viewNames":["test"]}],"user":[]}}">
instance_id stringlengths 10 57 | base_commit stringlengths 40 40 | created_at stringdate 2014-04-30 14:58:36 2025-04-30 20:14:11 | environment_setup_commit stringlengths 40 40 | hints_text stringlengths 0 273k | patch stringlengths 251 7.06M | problem_statement stringlengths 11 52.5k | repo stringlengths 7 53 | test_patch stringlengths 231 997k | meta dict | version stringclasses 864
values | install_config dict | requirements stringlengths 93 34.2k ⌀ | environment stringlengths 760 20.5k ⌀ | FAIL_TO_PASS listlengths 1 9.39k | FAIL_TO_FAIL listlengths 0 2.69k | PASS_TO_PASS listlengths 0 7.87k | PASS_TO_FAIL listlengths 0 192 | license_name stringclasses 56
values | docker_image stringlengths 42 89 ⌀ | image_name stringlengths 42 89 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BrandonLMorris__auacm-cli-11 | 5c13a4843e281aa1470d2bd28fe39c07f4e39e92 | 2016-03-11 15:15:59 | 5c13a4843e281aa1470d2bd28fe39c07f4e39e92 | diff --git a/src/auacm/competition.py b/src/auacm/competition.py
index f2d9561..794f8a4 100644
--- a/src/auacm/competition.py
+++ b/src/auacm/competition.py
@@ -1,6 +1,6 @@
"""Subcommands related to competitions"""
-import auacm, requests, textwrap
+import auacm, requests, textwrap, argparse
from datetime import da... | List recent and ongoing competitions
A `comp[etition]` command that will simply list (chronologically) the recent and ongoing competitions. | BrandonLMorris/auacm-cli | diff --git a/tests/competition_tests.py b/tests/competition_tests.py
index 7f7c381..b89e62e 100644
--- a/tests/competition_tests.py
+++ b/tests/competition_tests.py
@@ -21,16 +21,38 @@ class CompetitionTests(unittest.TestCase):
self.assertTrue('past fake mock' in result.lower())
@patch('requests.get')
-... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 3... | 0.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requests",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path": null,
"t... | -e git+https://github.com/BrandonLMorris/auacm-cli.git@5c13a4843e281aa1470d2bd28fe39c07f4e39e92#egg=auacm
Brotli @ file:///croot/brotli-split_1736182456865/work
certifi @ file:///croot/certifi_1738623731865/work/certifi
charset-normalizer @ file:///croot/charset-normalizer_1721748349566/work
exceptiongroup==1.2.2
idna ... | name: auacm-cli
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- brotli-python=1.0.9=py39h6a678d5_9
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2025.1.31=py39h06a4308_0
... | [
"tests/competition_tests.py::CompetitionTests::testGetOneCompetitionBadName",
"tests/competition_tests.py::CompetitionTests::testGetOneCompetitionByName"
] | [] | [
"tests/competition_tests.py::CompetitionTests::testGetAllCompetitons",
"tests/competition_tests.py::CompetitionTests::testGetOneCompetitionBad",
"tests/competition_tests.py::CompetitionTests::testGetOneCompetitionById"
] | [] | MIT License | null | null | |
BrandwatchLtd__api_sdk-62 | 0570363bdee1621b85f8290599e0c86c75bcf802 | 2018-09-13 12:45:58 | 0570363bdee1621b85f8290599e0c86c75bcf802 | diff --git a/.travis.yml b/.travis.yml
deleted file mode 100644
index b33d109..0000000
--- a/.travis.yml
+++ /dev/null
@@ -1,24 +0,0 @@
-language: python
-
-matrix:
- include:
- - python: 3.3
- - python: 3.4
- - python: 3.5
- - python: 3.6
- - python: 3.7
- dist: xenial
- sudo: true
- - pyt... | username with capital letters
I came across an issue when I use the token_path instead of the password to request my project:
BWProject(username=YOUR_ACCOUNT, project=YOUR_PROJECT)
When at the beginning I used my username and password, the tokens.txt was generated with the username in lowercase (_read_auth_file). ... | BrandwatchLtd/api_sdk | diff --git a/test/__init__.py b/test/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/test/test_bwproject.py b/test/test_bwproject.py
new file mode 100644
index 0000000..4820262
--- /dev/null
+++ b/test/test_bwproject.py
@@ -0,0 +1,69 @@
+import unittest
+import responses
+import os
+import tempfile... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_removed_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 0
},
"num_modified_files": 3
} | unknown | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"responses"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3... | -e git+https://github.com/BrandwatchLtd/api_sdk.git@0570363bdee1621b85f8290599e0c86c75bcf802#egg=bwapi
certifi==2025.1.31
charset-normalizer==3.4.1
exceptiongroup==1.2.2
idna==3.10
iniconfig==2.1.0
packaging==24.2
pluggy==1.5.0
pytest==8.3.5
PyYAML==6.0.2
requests==2.32.3
responses==0.25.7
tomli==2.2.1
urllib3==2.3.0
| name: api_sdk
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=1... | [
"test/test_bwproject.py::TestBWProjectUsernameCaseSensitivity::test_mixedcase_username",
"test/test_bwproject.py::TestBWProjectUsernameCaseSensitivity::test_uppercase_username"
] | [] | [
"test/test_bwproject.py::TestBWProjectUsernameCaseSensitivity::test_lowercase_username"
] | [] | MIT License | swerebench/sweb.eval.x86_64.brandwatchltd_1776_api_sdk-62 | swerebench/sweb.eval.x86_64.brandwatchltd_1776_api_sdk-62 | |
Brown-University-Library__bdrxml-109 | aadc3090ec068103865002d5adc8f39ad600c080 | 2024-02-08 18:58:33 | aadc3090ec068103865002d5adc8f39ad600c080 | diff --git a/bdrxml/mods.py b/bdrxml/mods.py
index a5c9290..4daa10f 100644
--- a/bdrxml/mods.py
+++ b/bdrxml/mods.py
@@ -1,16 +1,36 @@
import re
import unicodedata
+
+from .darwincore import get_schema_validation_errors
+from eulxml import xmlmap
from eulxml.xmlmap import StringField as SF, SchemaField, NodeListFiel... | add support for MODS-3.8 | Brown-University-Library/bdrxml | diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 3ebe023..2a9b0bb 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -14,7 +14,7 @@ jobs:
strategy:
max-parallel: 4
matrix:
- python-version: [3.6.8, 3.7, 3.8, 3.9]
+ python-version: [... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_added_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 3,
"test_score": 2
},... | 1.4 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path... | -e git+https://github.com/Brown-University-Library/bdrxml.git@aadc3090ec068103865002d5adc8f39ad600c080#egg=bdrxml
eulxml==1.1.3
exceptiongroup==1.2.2
iniconfig==2.1.0
isodate==0.7.2
lxml==5.3.1
packaging==24.2
pluggy==1.5.0
ply==3.8
pyparsing==3.2.3
pytest==8.3.5
rdflib==7.1.4
six==1.17.0
tomli==2.2.1
| name: bdrxml
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11... | [
"test/mods_test.py::ModsReadWrite::test_validate_mods_38"
] | [] | [
"test/mods_test.py::ModsReadWrite::test_create_dates",
"test/mods_test.py::ModsReadWrite::test_create_hierarchical_geographic",
"test/mods_test.py::ModsReadWrite::test_create_language",
"test/mods_test.py::ModsReadWrite::test_create_mods",
"test/mods_test.py::ModsReadWrite::test_fast_uri_equality",
"test/... | [] | MIT License | null | null | |
BurnzZ__scrapy-loader-upkeep-3 | 0b36309d1c9ea814e097e06e9d7220cfef6e6f9e | 2019-07-18 07:42:47 | 0b36309d1c9ea814e097e06e9d7220cfef6e6f9e | diff --git a/README.rst b/README.rst
index 6fb0e87..3112d48 100644
--- a/README.rst
+++ b/README.rst
@@ -58,8 +58,8 @@ This only works for the following ``ItemLoader`` methods:
- ``add_xpath()``
- ``replace_xpath()``
-Spider Example
-~~~~~~~~~~~~~~
+Basic Spider Example
+~~~~~~~~~~~~~~~~~~~~
This is taken fr... | Allow paths to be named
When having several amounts of xpaths for each field, is really difficult to determine which one was added firsts, specially when there are different workflows on the code.
To make easier the task to identify the paths on the stats, it would be great if we could name them. For example:
```... | BurnzZ/scrapy-loader-upkeep | diff --git a/examples/quotestoscrape/items.py b/examples/quotestoscrape/items.py
index 360d6f0..2eac930 100644
--- a/examples/quotestoscrape/items.py
+++ b/examples/quotestoscrape/items.py
@@ -3,3 +3,4 @@ import scrapy
class QuotesToScrapeItem(scrapy.Item):
quote = scrapy.Field()
author = scrapy.Field()
+ ... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 2
},
"num_modified_files": 3
} | 0.12 | {
"env_vars": null,
"env_yml_path": [],
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "Pipfile",
"pip_packages": [
"pytest"
],
"pre_install": [],
"python": "3.9",
"reqs_path": [],
"test_cmd": "pytest --no-header -rA --tb=line --color=no... | attrs==25.3.0
Automat==24.8.1
certifi==2025.1.31
cffi==1.17.1
charset-normalizer==3.4.1
constantly==23.10.4
cryptography==44.0.2
cssselect==1.3.0
defusedxml==0.7.1
exceptiongroup==1.2.2
filelock==3.18.0
hyperlink==21.0.0
idna==3.10
incremental==24.7.2
iniconfig==2.1.0
itemadapter==0.11.0
itemloaders==1.3.2
jmespath==1.... | name: scrapy-loader-upkeep
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
... | [
"tests/test_loader.py::test_get_selector_values",
"tests/test_loader.py::test_multiple_1_with_name",
"tests/test_loader.py::test_multiple_2_with_name"
] | [] | [
"tests/test_loader.py::test_get_selector_values_with_no_selector",
"tests/test_loader.py::test_write_to_stats_with_uninjected_stat_dependency",
"tests/test_loader.py::test_write_to_stats_with_no_parsed_data",
"tests/test_loader.py::test_write_to_stats_with_no_field_name",
"tests/test_loader.py::test_write_t... | [] | BSD 3-Clause "New" or "Revised" License | swerebench/sweb.eval.x86_64.burnzz_1776_scrapy-loader-upkeep-3 | swerebench/sweb.eval.x86_64.burnzz_1776_scrapy-loader-upkeep-3 | |
CDCgov__PyRenew-412 | 1a86104f6be3d0d2429e3358f7ea5572f8fa3799 | 2024-08-22 22:46:05 | 27258c12661b3bb65ad8fe3f743a01c0267fe533 | codecov[bot]: ## [Codecov](https://app.codecov.io/gh/CDCgov/PyRenew/pull/412?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=CDCgov) Report
Attention: Patch coverage is `97.16981%` with `3 lines` in your changes missing coverage. Please review.
... | diff --git a/docs/source/msei_reference/index.rst b/docs/source/msei_reference/index.rst
index f7fae05..323874c 100644
--- a/docs/source/msei_reference/index.rst
+++ b/docs/source/msei_reference/index.rst
@@ -7,6 +7,7 @@ Reference
model
latent
process
+ randomvariable
observation
datasets
msei... | `randomvariable` module
I think there are enough concrete but generic `RandomVariable`s that they should have their own module rather than living in `metaclass.py`, especially since they aren't actually abstract
Candidates for this include `DeterministicVariable`, `DistributionalRV`, `TransformedRandomVariable`, etc... | CDCgov/PyRenew | diff --git a/test/test_assert_sample_and_rtype.py b/test/test_assert_sample_and_rtype.py
index 69a59f0..d0f9ee8 100644
--- a/test/test_assert_sample_and_rtype.py
+++ b/test/test_assert_sample_and_rtype.py
@@ -9,11 +9,11 @@ from numpy.testing import assert_equal
from pyrenew.deterministic import DeterministicVariable... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_added_files",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 2,
"test_score": 3
},
"nu... | 0.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "pytest",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.12",
"reqs_path": null,
"test_cmd": "pytest --no-header -rA --tb=line --co... | contourpy==1.3.1
cycler==0.12.1
fonttools==4.56.0
iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
jax==0.5.3
jaxlib==0.5.3
kiwisolver==1.4.8
matplotlib==3.10.1
ml_dtypes==0.5.1
multipledispatch==1.0.0
numpy==2.2.4
numpyro==0.18.0
opt_einsum==3.4.0
packaging @ file:///croot/packaging_173447211720... | name: PyRenew
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h5eee18b_6
- ca-certificates=2025.2.25=h06a4308_0
- expat=2.6.4=h6a678d5_0
- iniconfig=1.1.1=pyhd3e... | [
"test/test_assert_sample_and_rtype.py::test_none_rv",
"test/test_assert_sample_and_rtype.py::test_input_rv",
"test/test_assert_sample_and_rtype.py::test_sample_return",
"test/test_assert_type.py::test_valid_assertion_types",
"test/test_assert_type.py::test_invalid_assertion_types",
"test/test_differenced_... | [
"test/test_differenced_process.py::test_integrator_correctness[2-40]"
] | [] | [] | Apache License 2.0 | null | null |
CDCgov__PyRenew-482 | bbaf1b9b629d861ba534dd5b4c5693f84676bfe8 | 2025-02-11 20:45:19 | bbaf1b9b629d861ba534dd5b4c5693f84676bfe8 | codecov[bot]: ## [Codecov](https://app.codecov.io/gh/CDCgov/PyRenew/pull/482?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=CDCgov) Report
Attention: Patch coverage is `35.71429%` with `9 lines` in your changes missing coverage. Please review.
... | diff --git a/pyrenew/math.py b/pyrenew/math.py
index db94200..b8bfd74 100755
--- a/pyrenew/math.py
+++ b/pyrenew/math.py
@@ -12,6 +12,146 @@ from jax.typing import ArrayLike
from pyrenew.distutil import validate_discrete_dist_vector
+def _positive_ints_like(vec: ArrayLike) -> jnp.ndarray:
+ """
+ Given an ar... | Add infection initialization at stable age distribution given R | CDCgov/PyRenew | diff --git a/test/test_leslie_matrix.py b/test/test_leslie_matrix.py
deleted file mode 100755
index 3610685..0000000
--- a/test/test_leslie_matrix.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# numpydoc ignore=GL08
-
-import jax.numpy as jnp
-from numpy.testing import assert_array_almost_equal
-
-import pyrenew.math as pmath
-
-... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 3,
"issue_text_score": 2,
"test_score": 3
},
"num_modified_files": 1
} | 0.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "pytest",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.12",
"reqs_path": null,
"test_cmd": "pytest --no-header -rA --tb=line --co... | iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
jax==0.5.3
jaxlib==0.5.3
ml_dtypes==0.5.1
multipledispatch==1.0.0
numpy==2.2.4
numpyro==0.18.0
opt_einsum==3.4.0
packaging @ file:///croot/packaging_1734472117206/work
pluggy @ file:///croot/pluggy_1733169602837/work
polars==1.26.0
-e git+https://g... | name: PyRenew
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h5eee18b_6
- ca-certificates=2025.2.25=h06a4308_0
- expat=2.6.4=h6a678d5_0
- iniconfig=1.1.1=pyhd3e... | [
"test/test_math.py::test_positive_ints_like[arr0-3]",
"test/test_math.py::test_positive_ints_like[arr1-50]",
"test/test_math.py::test_positive_ints_like[arr2-250]",
"test/test_math.py::test_r_approx[5-G0]",
"test/test_math.py::test_r_approx[0.2-G1]",
"test/test_math.py::test_r_approx[1-G2]",
"test/test_... | [] | [
"test/test_math.py::test_asymptotic_properties",
"test/test_math.py::test_get_leslie[0.4-gi0-expected0]",
"test/test_math.py::test_get_leslie[3-gi1-expected1]"
] | [] | Apache License 2.0 | null | null |
CDCgov__cfa-viral-lineage-model-51 | 060d63ef58c3d6ed310c15593aad0475df4a1f43 | 2024-09-10 20:10:48 | 317d85ffdb77f6659c9f3ef3aac017d25b60de29 | swo: I generally really like where this is going. As you can see, I borrowed a lot of this thinking for https://github.com/CDCgov/cfa-immunization-uptake-projection/pull/3.
I think we're facing a design choice about what an "evaluator" is (ie how much it does), versus a "score".
My current leaning is toward this ... | diff --git a/README.md b/README.md
index 5580414..95758a3 100644
--- a/README.md
+++ b/README.md
@@ -57,17 +57,6 @@ Rows are uniquely identified by `(fd_offset, division, lineage, sample_index)`.
- [ ] (9) Study more on how to set priors on the logit scale to induce priors on the probability simplex
- [ ] (10) Does o... | Syncing lineages between model and eval data
I'm looking at the pair of `model.csv` and `eval.csv` for a 2022-01-01 forecast date, and the evaluation data has one more lineage than the model data, namely `22C`. We need to make sure that the set of lineages is consistent across modeling and evaluation.
Part of the aw... | CDCgov/cfa-viral-lineage-model | diff --git a/linmod/tests/test_eval.py b/linmod/tests/test_eval.py
index 51767a5..33e1f5c 100644
--- a/linmod/tests/test_eval.py
+++ b/linmod/tests/test_eval.py
@@ -32,18 +32,27 @@ def _generate_fake_samples_and_data(
lineage=range(num_lineages),
)
- data = data.with_columns(count=rng.integers(0, 100... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 2,
"test_score": 1
},
"num_modified_files": 7
} | . | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "pytest",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.12",
"reqs_path": null,
"test_cmd": "pytest --no-header -rA --tb=line --co... | babel==2.17.0
backrefs==5.8
certifi==2025.1.31
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
contourpy==1.3.1
cycler==0.12.1
fonttools==4.56.0
ghp-import==2.1.0
griffe==1.7.1
idna==3.10
iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
jax==0.5.3
jaxlib==0.5.3
Jinja2==3.1.6
kiwisolver==1.... | name: cfa-viral-lineage-model
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h5eee18b_6
- ca-certificates=2025.2.25=h06a4308_0
- expat=2.6.4=h6a678d5_0
- inicon... | [
"linmod/tests/test_eval.py::test_proportions_mean_L1_norm",
"linmod/tests/test_eval.py::test_proportions_mean_L1_norm2",
"linmod/tests/test_eval.py::test_proportions_L1_energy_score",
"linmod/tests/test_eval.py::test_proportions_L1_energy_score2"
] | [] | [] | [] | Apache License 2.0 | null | null |
CLOVER-energy__CLOVER-96 | 38b1c3e63dc6fb3db8f1406fa8f32db8b39cc71c | 2022-07-01 15:19:21 | 3f6a3e111767e7bf98a0afc3e991526fed11c180 | diff --git a/src/clover/simulation/storage.py b/src/clover/simulation/storage.py
index 9b4a58a..44061d6 100644
--- a/src/clover/simulation/storage.py
+++ b/src/clover/simulation/storage.py
@@ -640,16 +640,43 @@ def get_electric_battery_storage_profile( # pylint: disable=too-many-locals, to
grid_energy = p... | Prioitise self-generation bug
### Describe the bug
When running CLOVER, there are two possible flows for how the code selects its source of power, which are set within the `scenario_inputs.yaml` file:
- `prioiritise_self_generation: true`, where CLOVER should attempt to get power from the solar and storage first,
- ... | CLOVER-energy/CLOVER | diff --git a/src/clover/tests/integration/test_clover.py b/src/clover/tests/integration/test_clover.py
index 38aa070..d2ec24e 100644
--- a/src/clover/tests/integration/test_clover.py
+++ b/src/clover/tests/integration/test_clover.py
@@ -480,24 +480,24 @@ class SimulationTests(_BaseTest): # pylint: disable=too-many-pub... | {
"commit_name": "head_commit",
"failed_lite_validators": [],
"has_test_patch": true,
"is_lite": true,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 0
},
"num_modified_files": 1
} | 5.0 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.7",
"reqs_path": [
"requirements.txt"
],
"test_cmd": "pytest --... | astroid==2.15.8
black==23.3.0
certifi @ file:///croot/certifi_1671487769961/work/certifi
charset-normalizer==3.4.1
click==8.1.8
-e git+https://github.com/CLOVER-energy/CLOVER.git@38b1c3e63dc6fb3db8f1406fa8f32db8b39cc71c#egg=clover_energy
cycler==0.11.0
dill==0.3.7
exceptiongroup==1.2.2
fonttools==4.38.0
idna==3.10
impo... | name: CLOVER
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2022.12.7=py37h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- lib... | [
"src/clover/tests/integration/test_clover.py::SimulationTests::test_grid_prioritise_diesel_and_pv",
"src/clover/tests/integration/test_clover.py::SimulationTests::test_grid_prioritise_diesel_grid_and_pv",
"src/clover/tests/integration/test_clover.py::SimulationTests::test_grid_prioritise_diesel_grid_pv_and_stor... | [] | [
"src/clover/tests/integration/test_clover.py::SimulationTests::test_grid_prioritise_diesel_and_grid",
"src/clover/tests/integration/test_clover.py::SimulationTests::test_grid_prioritise_diesel_and_storage",
"src/clover/tests/integration/test_clover.py::SimulationTests::test_grid_prioritise_diesel_grid_and_stora... | [] | MIT License | null | null | |
CMakePP__CMinx-151 | ea6d33ebc88237c5f2dd3a1d166d7bc4b078223f | 2023-04-09 02:03:19 | 51558674c3d9bf1f3afaef48bd66b3f74aefb028 | codecov[bot]: ## [Codecov](https://codecov.io/gh/CMakePP/CMinx/pull/151?src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=CMakePP) Report
Patch coverage: **`100.00`**% and no project coverage change.
> Comparison is base [(`e51acd0`)](https://codecov.io/gh/CMakePP/... | diff --git a/docs/source/developer/api.rst b/docs/source/developer/api.rst
index a397b37..e836a7e 100644
--- a/docs/source/developer/api.rst
+++ b/docs/source/developer/api.rst
@@ -25,10 +25,12 @@ Python Modules
.. autosummary::
:toctree: .autosummary
-
- cminx.rstwriter
- cminx.documenter
cminx.aggregat... | Add a regex filter for parameter names to make longer names more readable
**Is your feature request related to a problem? Please describe.**
A regex filter was requested in discussions for https://github.com/CMakePP/CMakeTest/issues/5
| CMakePP/CMinx | diff --git a/tests/examples/sphinx/source/example.rst b/tests/examples/sphinx/source/example.rst
index 2759669..45fc64b 100644
--- a/tests/examples/sphinx/source/example.rst
+++ b/tests/examples/sphinx/source/example.rst
@@ -346,10 +346,10 @@ examples.example
.. note::
- This variable is... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 1,
"test_score": 1
},... | 1.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[testing]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"docs/requirements.txt"
],
"test_cm... | alabaster==0.7.16
antlr4-python3-runtime==4.7.2
babel==2.17.0
certifi==2025.1.31
charset-normalizer==3.4.1
-e git+https://github.com/CMakePP/CMinx.git@ea6d33ebc88237c5f2dd3a1d166d7bc4b078223f#egg=CMinx
confuse==2.0.1
coverage==7.8.0
docutils==0.21.2
exceptiongroup==1.2.2
idna==3.10
imagesize==1.4.1
importlib_metadata==... | name: CMinx
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/unit_tests/test_aggregator.py::TestAggregator::test_function_param_regex",
"tests/unit_tests/test_aggregator.py::TestAggregator::test_macro_param_regex",
"tests/unit_tests/test_aggregator.py::TestAggregator::test_method_param_regex"
] | [] | [
"tests/unit_tests/test_aggregator.py::TestAggregator::test_aggregated_docs",
"tests/unit_tests/test_aggregator.py::TestAggregator::test_cpp_attr_outside_class",
"tests/unit_tests/test_aggregator.py::TestAggregator::test_cpp_class_multi_superclass_multi_members",
"tests/unit_tests/test_aggregator.py::TestAggre... | [] | Apache License 2.0 | null | null |
CODAIT__exchange-metadata-converter-25 | a5432d877fe947a12c169d2d84c22e034d555289 | 2020-10-14 23:33:51 | a5432d877fe947a12c169d2d84c22e034d555289 | diff --git a/metadata_converter/apply.py b/metadata_converter/apply.py
index f20d451..34cd14f 100644
--- a/metadata_converter/apply.py
+++ b/metadata_converter/apply.py
@@ -16,6 +16,8 @@
from argparse import ArgumentParser
from pathlib import Path
from ruamel.yaml import YAML
+from ruamel.yaml.tokens import CommentT... | Support optional properties
Currently all `{{...}}` placeholders in https://github.com/CODAIT/exchange-metadata-converter/tree/main/templates are considered to be required and therefore each placeholder input file must define them. Annotations would solve this issue. Investigate what it takes to support something like ... | CODAIT/exchange-metadata-converter | diff --git a/tests/inputs/annotations.yaml b/tests/inputs/annotations.yaml
new file mode 100644
index 0000000..84678c1
--- /dev/null
+++ b/tests/inputs/annotations.yaml
@@ -0,0 +1,6 @@
+# This YAML document does not define the following properties:
+# noprop1value, noprop2value, noprop3value, noprop3value,
+# noprop4va... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 1,
"test_score": 0
},
"num_modified_files": 2
} | unknown | {
"env_vars": null,
"env_yml_path": [],
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [],
"python": "3.7",
"reqs_path": [
"test_requirements.txt"
],
"test_cmd": "pytest -... | certifi @ file:///croot/certifi_1671487769961/work/certifi
exceptiongroup==1.2.2
-e git+https://github.com/CODAIT/exchange-metadata-converter.git@a5432d877fe947a12c169d2d84c22e034d555289#egg=exchange_metadata_converter
flake8==5.0.4
importlib-metadata==4.2.0
importlib-resources==5.12.0
iniconfig==2.0.0
mccabe==0.7.0
pa... | name: exchange-metadata-converter
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2022.12.7=py37h06a4308_0
- ld_impl_linux-64=2.... | [
"tests/test_annotations.py::TestAnnotations::test_optional_annotation"
] | [] | [
"tests/test_annotations.py::TestAnnotations::test_without_optional_annotation"
] | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.codait_1776_exchange-metadata-converter-25 | swerebench/sweb.eval.x86_64.codait_1776_exchange-metadata-converter-25 | |
CODAIT__exchange-metadata-converter-38 | c306552b0a2fc25f868cfc7daee7b26a1c99f31b | 2020-11-05 20:45:48 | c306552b0a2fc25f868cfc7daee7b26a1c99f31b | diff --git a/setup.py b/setup.py
index 1e62eb5..afb9bf4 100644
--- a/setup.py
+++ b/setup.py
@@ -22,7 +22,7 @@ with open('README.md') as readme:
setup(
name='exchange-metadata-converter',
packages=find_packages(),
- version='0.0.8',
+ version='0.0.9',
license='Apache-2.0',
description='exchange metadata ... | Non-compliant metadata.name in the generated DLF YAML
The `metadata.name` in the generated DLF YAML does not comply with the Kubernetes spec for DNS-1123 subdomain names.
```JSON
{
"kind": "Status",
"apiVersion": "v1",
"metadata": {},
"status": "Failure",
"message": "Dataset.com.ie.ibm.hpsys \"Fina... | CODAIT/exchange-metadata-converter | diff --git a/tests/test_dlf.py b/tests/test_dlf.py
index 9e37f60..e593f79 100644
--- a/tests/test_dlf.py
+++ b/tests/test_dlf.py
@@ -48,7 +48,7 @@ class TestDLF(unittest.TestCase):
'com.ie.ibm.hpsys/v1alpha1')
self.assertEqual(out_dict['kind'], 'Dataset')
self.ass... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 1,
"test_score": 2
},
"num_modified_files": 2
} | 0.0 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "pytest",
"pip_packages": [
"flake8",
"pytest"
],
"pre_install": null,
"python": "3.8",
"reqs_path": null,
"test_cmd": "pytest --no-header -rA --tb=l... | exceptiongroup @ file:///croot/exceptiongroup_1706031385326/work
-e git+https://github.com/CODAIT/exchange-metadata-converter.git@c306552b0a2fc25f868cfc7daee7b26a1c99f31b#egg=exchange_metadata_converter
flake8==7.1.2
importlib_resources==6.4.5
iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
mcca... | name: exchange-metadata-converter
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- exceptiongroup=1.2.0=py38h06a4308_0
- iniconfig=1.1.1=... | [
"tests/test_dlf.py::TestDLF::test_dtest_dlf"
] | [] | [
"tests/test_dlf.py::TestDLF::test_dax_dataset_descriptors"
] | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.codait_1776_exchange-metadata-converter-38 | swerebench/sweb.eval.x86_64.codait_1776_exchange-metadata-converter-38 | |
CORE-GATECH-GROUP__serpent-tools-100 | 433d55710b85805c9dee609ad77f81bc3c202b72 | 2018-03-23 15:07:37 | 1d475a4dd8982532d097286468b2d616345c8ab8 | diff --git a/docs/examples/Branching.rst b/docs/examples/Branching.rst
index 32e10ca..7544198 100644
--- a/docs/examples/Branching.rst
+++ b/docs/examples/Branching.rst
@@ -1,3 +1,9 @@
+.. |branchReader| replace:: :py:class:`~serpentTools.parsers.branching.BranchingReader`
+
+.. |branchContainer| replace:: :py:class:`~... | Universes from branching file can be stored with negative burnup
## Summary of issue
The burnup values in coefficient files can be negative, indicating units of days, not MWd/kgU
[Link to SERPENT coef card](http://serpent.vtt.fi/mediawiki/index.php/Input_syntax_manual#coef_.28coefficient_matrix_definition.29). This l... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_branching.py b/serpentTools/tests/test_branching.py
index 8bfd381..be967f5 100644
--- a/serpentTools/tests/test_branching.py
+++ b/serpentTools/tests/test_branching.py
@@ -10,6 +10,7 @@ from numpy.testing import assert_allclose
from serpentTools.settings import rc
from serpentTool... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 2,
"test_score": 2
},
"num... | 0.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "numpy>=1.11.1 matplotlib>=1.5.0 pyyaml>=3.08 scipy",
"pip_packages": [
"pytest",
"jupyter",
"nbconvert"
],
"pre_install": [
"apt-get update",
... | anyio==3.6.2
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
async-generator==1.10
attrs==22.2.0
Babel==2.11.0
backcall==0.2.0
bleach==4.1.0
certifi==2021.5.30
cffi==1.15.1
charset-normalizer==2.0.12
comm==0.1.4
contextvars==2.4
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
dataclasses==0.8
decorator==... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=openblas
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- cycler=0.11... | [
"serpentTools/tests/test_branching.py::BranchTester::test_branchingUniverses",
"serpentTools/tests/test_branching.py::BranchContainerTester::test_cannotAddBurnupDays",
"serpentTools/tests/test_branching.py::BranchContainerTester::test_containerGetUniv",
"serpentTools/tests/test_branching.py::BranchContainerTe... | [] | [
"serpentTools/tests/test_branching.py::BranchTester::test_raiseError",
"serpentTools/tests/test_branching.py::BranchTester::test_variables"
] | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-141 | d96de5b0f4bc4c93370cf508e0ea89701054ff41 | 2018-05-14 22:28:11 | 7c7da6012f509a2e71c3076ab510718585f75b11 | diff --git a/docs/defaultSettings.rst b/docs/defaultSettings.rst
index aa16202..8893098 100644
--- a/docs/defaultSettings.rst
+++ b/docs/defaultSettings.rst
@@ -206,6 +206,19 @@ If true, store the infinite medium cross sections.
Type: bool
+.. _xs-reshapeScatter:
+
+---------------------
+``xs.reshapeScatter``... | [Feature] Auto-reshape scattering matrices for homogenized universes
Implement a setting that will automatically reshape scattering matrices for homogenized universes. This should be done in such a way that both the BranchingReader and ResultsReader honor this request.
Possibly a setting like `xs.reshapeScatter`? | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_container.py b/serpentTools/tests/test_container.py
index fbed4dc..25a1188 100644
--- a/serpentTools/tests/test_container.py
+++ b/serpentTools/tests/test_container.py
@@ -1,43 +1,43 @@
"""Test the container object. """
import unittest
-from serpentTools.objects import container... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 2
},
"num_modified_files": 5
} | 0.4 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "numpy>=1.11.1 matplotlib>=1.5.0 pyyaml>=3.08 scipy six",
"pip_packages": [
"pytest",
"coverage"
],
"pre_install": [
"apt-get update",
"apt-ge... | attrs==22.2.0
certifi==2021.5.30
coverage==6.2
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver @ file:///tmp/build/80754af9/kiwisolver_1612282412546/work
matplotlib @ file:///tmp/build/80754af9/matplotlib-suite_1613407855456/work
numpy @ file:///tmp/bu... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=openblas
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- cycler=0.11... | [
"serpentTools/tests/test_container.py::VectoredHomogUnivTester::test_getB1Exp",
"serpentTools/tests/test_container.py::VectoredHomogUnivTester::test_getB1Unc",
"serpentTools/tests/test_container.py::VectoredHomogUnivTester::test_getBothInf",
"serpentTools/tests/test_container.py::VectoredHomogUnivTester::test... | [] | [] | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-154 | 911894d67eb9677c4430a1aee91e9d1461ffc44b | 2018-05-18 16:25:11 | 7c7da6012f509a2e71c3076ab510718585f75b11 | diff --git a/serpentTools/objects/containers.py b/serpentTools/objects/containers.py
index 8c30e1b..bcc9103 100644
--- a/serpentTools/objects/containers.py
+++ b/serpentTools/objects/containers.py
@@ -35,8 +35,8 @@ for xsSpectrum, xsType in product({'INF', 'B1'},
for xx in range(SCATTER_ORDERS)... | [BUG] number of groups stored as a float; causes reshape scatter matrices to fail
## Summary of issue
The `addData` routine stores the number of energy groups as a float. This causes numpy to fail during the reshaping of scattering matrices.
## Code for reproducing the issue
```
import serpentTools
from serpentToo... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_container.py b/serpentTools/tests/test_container.py
index 721dd1d..ded8988 100644
--- a/serpentTools/tests/test_container.py
+++ b/serpentTools/tests/test_container.py
@@ -4,7 +4,7 @@ import unittest
from itertools import product
from six import iteritems
-from numpy import arra... | {
"commit_name": "merge_commit",
"failed_lite_validators": [],
"has_test_patch": true,
"is_lite": true,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 2
},
"num_modified_files": 1
} | 0.4 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "numpy>=1.11.1 matplotlib>=1.5.0 pyyaml>=3.08 scipy six",
"pip_packages": [
"numpy>=1.11.1",
"matplotlib>=1.5.0",
"pyyaml>=3.08",
"scipy",
"si... | attrs==22.2.0
certifi==2021.5.30
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver @ file:///tmp/build/80754af9/kiwisolver_1612282412546/work
matplotlib @ file:///tmp/build/80754af9/matplotlib-suite_1613407855456/work
numpy @ file:///tmp/build/80754af9/n... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=openblas
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- cycler=0.11... | [
"serpentTools/tests/test_container.py::HomogUnivIntGroupsTester::test_univGroupsFromFloats",
"serpentTools/tests/test_container.py::HomogUnivIntGroupsTester::test_univGroupsFromNPFloats"
] | [] | [
"serpentTools/tests/test_container.py::VectoredHomogUnivTester::test_attributes",
"serpentTools/tests/test_container.py::VectoredHomogUnivTester::test_getB1Exp",
"serpentTools/tests/test_container.py::VectoredHomogUnivTester::test_getB1Unc",
"serpentTools/tests/test_container.py::VectoredHomogUnivTester::test... | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-21 | b67f52bfd0b23baa3eae9f11bab1af14bd8b2798 | 2017-09-29 14:33:04 | b67f52bfd0b23baa3eae9f11bab1af14bd8b2798 | diff --git a/serpentTools/__init__.py b/serpentTools/__init__.py
index 8e3f32c..3e8e8de 100644
--- a/serpentTools/__init__.py
+++ b/serpentTools/__init__.py
@@ -1,7 +1,7 @@
from serpentTools import settings
from serpentTools import parsers
-__version__ = '0.1.3'
+__version__ = '0.1.4'
# List TODOS/feature ... | Days are still returned in time points are given for a vector quantity on materials, e.g. burnup
Fix in #2 did not take in to account quantities like `burnup` and `volume` that do not return arrays for isotope quantities.
If the user specifies one of these quantities from a depleted material, the time points are still... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_depletion.py b/serpentTools/tests/test_depletion.py
index d7f6d52..6cb911d 100644
--- a/serpentTools/tests/test_depletion.py
+++ b/serpentTools/tests/test_depletion.py
@@ -124,13 +124,12 @@ class DepletedMaterialTester(_DepletionTestHelper):
"""
Verify the materia... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_added_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 1
},
"num_modified_files": 3
} | unknown | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path... | contourpy==1.3.0
cycler==0.12.1
drewtils==0.1.9
exceptiongroup==1.2.2
fonttools==4.56.0
importlib_resources==6.5.2
iniconfig==2.1.0
kiwisolver==1.4.7
matplotlib==3.9.4
numpy==2.0.2
packaging==24.2
pillow==11.1.0
pluggy==1.5.0
pyparsing==3.2.3
pytest==8.3.5
python-dateutil==2.9.0.post0
-e git+https://github.com/CORE-GAT... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgc... | [
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_getXY_burnup_full",
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_getXY_burnup_slice"
] | [] | [
"serpentTools/tests/test_depletion.py::DepletionTester::test_ReadMaterials",
"serpentTools/tests/test_depletion.py::DepletionTester::test_metadata",
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_fetchData",
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_getXY_adens",... | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-220 | 9429173b3a7a42bad6e4e0b791f8456f99eb606a | 2018-07-27 20:20:45 | 03997bdce0a5adb75cf5796278ea61b799f7b6dc | diff --git a/docs/develop/logging.rst b/docs/develop/logging.rst
index 8f36e03..c5c061c 100644
--- a/docs/develop/logging.rst
+++ b/docs/develop/logging.rst
@@ -31,3 +31,10 @@ or removed in the future.
.. autofunction:: serpentTools.messages.willChange
+
+Custom Handlers
+===============
+
+.. autoclass:: serpentT... | Determine and implement a way to test our message/logging systems
Working on the comparison feature, I realize we don't have a way to ensure that our logging system is actually logging what we want. This is more relevant for the testing the comparison utilities, and making sure that we are correctly notifying the user ... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_depSampler.py b/serpentTools/tests/test_depSampler.py
index 2ad166b..dcd2640 100644
--- a/serpentTools/tests/test_depSampler.py
+++ b/serpentTools/tests/test_depSampler.py
@@ -14,7 +14,7 @@ File Descriptions
*. ``bwr_missingT`` is missing the final burnup step
"""
-import unitte... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 1,
"test_score": 1
},
"num_... | 0.5 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio"
],
"pre_install": null,
"python": "3.6",
"reqs_path"... | anyio==3.6.2
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
async-generator==1.10
attrs==22.2.0
Babel==2.11.0
backcall==0.2.0
bleach==4.1.0
certifi==2021.5.30
cffi==1.15.1
charset-normalizer==2.0.12
comm==0.1.4
contextvars==2.4
coverage==6.2
cycler==0.11.0
dataclasses==0.8
decorator==5.1.1
defusedxml==0.7.1
entrypoin... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/test_depSampler.py::DepletionSamplerFailTester::test_badInventory",
"serpentTools/tests/test_depSampler.py::DepletionSamplerFailTester::test_missingTimeSteps",
"serpentTools/tests/test_depSampler.py::DepletedSamplerTester::test_depSamplerValidCalcs",
"serpentTools/tests/test_depSampler.py:... | [
"serpentTools/tests/test_settings.py::RCTester::test_fullExtend"
] | [] | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-24 | 4b93cd86c6149b94960984892dad25de6fbbb41f | 2017-10-05 20:12:21 | 224ef748f519903554f346d48071e58b43dcf902 | drewejohnson: Reopened to squash and merge | diff --git a/serpentTools/__init__.py b/serpentTools/__init__.py
index fdaf895..8d07887 100644
--- a/serpentTools/__init__.py
+++ b/serpentTools/__init__.py
@@ -3,10 +3,6 @@ from serpentTools import parsers
# List TODOS/feature requests here for now
-# Messages/Errors
-# TODO: Add verbosity control
-# TODO: A... | Feature: Implement a messaging and exception framework
Implement a overarching data logger that controls warnings, errors, and debug statements that allows the user to set the verbosity through the `rc` system. Maybe piggyback off of the [logging module](https://docs.python.org/3.6/library/logging.html)
Create a `Se... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_loaders.py b/serpentTools/tests/test_loaders.py
index f6895e1..3bbd24e 100644
--- a/serpentTools/tests/test_loaders.py
+++ b/serpentTools/tests/test_loaders.py
@@ -57,7 +57,8 @@ class UserSettingsTester(unittest.TestCase):
'metadataKeys': ['ZAI', 'NAMES', 'DAYS', 'BU'],... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_added_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 2,
"test_score": 3
},
"num_modi... | 1.00 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"drewtils>=0.1.5"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"pytho... | contourpy==1.3.0
cycler==0.12.1
drewtils==0.1.9
exceptiongroup==1.2.2
fonttools==4.56.0
importlib_resources==6.5.2
iniconfig==2.1.0
kiwisolver==1.4.7
matplotlib==3.9.4
numpy==2.0.2
packaging==24.2
pillow==11.1.0
pluggy==1.5.0
pyparsing==3.2.3
pytest==8.3.5
python-dateutil==2.9.0.post0
-e git+https://github.com/CORE-GAT... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgc... | [
"serpentTools/tests/test_loaders.py::UserSettingsTester::test_returnReaderSettings"
] | [] | [
"serpentTools/tests/test_loaders.py::DefaultSettingsTester::test_cannotChangeDefaults",
"serpentTools/tests/test_loaders.py::DefaultSettingsTester::test_getDefault",
"serpentTools/tests/test_loaders.py::UserSettingsTester::test_failAtBadSetting_options",
"serpentTools/tests/test_loaders.py::UserSettingsTester... | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-24 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-24 |
CORE-GATECH-GROUP__serpent-tools-240 | 03997bdce0a5adb75cf5796278ea61b799f7b6dc | 2018-09-04 19:06:39 | 03997bdce0a5adb75cf5796278ea61b799f7b6dc | diff --git a/docs/changelog.rst b/docs/changelog.rst
index 8b52e58..0c9561c 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -1,4 +1,8 @@
.. |homogUniv| replace:: :py:class:`~serpentTools.objects.containers.HomogUniv`
+.. |resultReader| replace:: :class:`~serpentTools.parsers.results.ResultsReader`
+.. |de... | [ENH] Ability to compare readers and objects
Implement a simple public method for readers and containers `.compare(other)` that would return `True` or `False` depending on the degree of difference between the two objects. This would be beneficial for comparing outputs across SERPENT versions, or sensitivity studies.
... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/compare/__init__.py b/serpentTools/tests/compare/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/serpentTools/tests/compare/test_depletion.py b/serpentTools/tests/compare/test_depletion.py
new file mode 100644
index 0000000..195b9ac
--- /dev/null
+++ b/serpentTools/t... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_added_files",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 3,
"issue_text_score": 2,
"test_score": 0
},
"num... | 0.5 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio"
],
"pre_install": null,
"python": "3.6",
"reqs_path"... | anyio==3.6.2
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
async-generator==1.10
attrs==22.2.0
Babel==2.11.0
backcall==0.2.0
bleach==4.1.0
certifi==2021.5.30
cffi==1.15.1
charset-normalizer==2.0.12
comm==0.1.4
contextvars==2.4
coverage==6.2
cycler==0.11.0
dataclasses==0.8
decorator==5.1.1
defusedxml==0.7.1
entrypoin... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/compare/test_depletion.py::DepletedMaterialComparisonTester::test_compareIdentical",
"serpentTools/tests/compare/test_depletion.py::DepletedMaterialComparisonTester::test_minorTweakData",
"serpentTools/tests/compare/test_depletion.py::DepletedMaterialComparisonTester::test_mishapenMetadata",... | [] | [] | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-243 | 67846baca60f959ac92bdf208e6f1c6744688890 | 2018-09-15 13:51:41 | 13961f3712a08e069c1ac96aaecf07ea7e7e5524 | diff --git a/serpentTools/parsers/results.py b/serpentTools/parsers/results.py
index d46a7fd..095cb6c 100644
--- a/serpentTools/parsers/results.py
+++ b/serpentTools/parsers/results.py
@@ -183,9 +183,10 @@ class ResultsReader(XSReader):
"""Process universes' data"""
brState = self._getBUstate() # obt... | [BUG] ResultsReader fails when only group constants are requested
## Summary of issue
When restricting the scope of the variables extracted from the results file to only group constants, the reader fails.
It is also worth noting that, when non-group constant data are requested as well, 'ABS_KEFF' and 'INF_FLX', fo... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_ResultsReader.py b/serpentTools/tests/test_ResultsReader.py
index 03e9d28..1384c4d 100644
--- a/serpentTools/tests/test_ResultsReader.py
+++ b/serpentTools/tests/test_ResultsReader.py
@@ -8,7 +8,7 @@ from numpy.testing import assert_equal
from six import iteritems
from serpentTo... | {
"commit_name": "merge_commit",
"failed_lite_validators": [],
"has_test_patch": true,
"is_lite": true,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 2,
"test_score": 0
},
"num_modified_files": 1
} | 0.6 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "pytest",
"pip_packages": [
"pytest",
"flake8>=3.1.0",
"pandas>=0.21.0",
"jupyter>=1.0",
"coverage==4.5.1"
],
"pre_install": null,
"python": ... | anyio==3.6.2
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
async-generator==1.10
attrs @ file:///opt/conda/conda-bld/attrs_1642510447205/work
Babel==2.11.0
backcall==0.2.0
bleach==4.1.0
certifi==2021.5.30
cffi==1.15.1
charset-normalizer==2.0.12
comm==0.1.4
contextvars==2.4
coverage==4.5.1
cycler==0.11.0
dataclasses=... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- attrs=21.4.0=pyhd3eb1b0_0
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- imp... | [
"serpentTools/tests/test_ResultsReader.py::RestrictedResultsReader::test_fluxAndKeff",
"serpentTools/tests/test_ResultsReader.py::RestrictedResultsReader::test_justFlux"
] | [
"serpentTools/tests/test_ResultsReader.py::TestGetUniv::test_allVarsNone",
"serpentTools/tests/test_ResultsReader.py::TestGetUniv::test_noUnivState",
"serpentTools/tests/test_ResultsReader.py::TestGetUniv::test_nonPostiveIndex",
"serpentTools/tests/test_ResultsReader.py::TestGetUniv::test_validUniv",
"serpe... | [
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_emptyFile_noGcu",
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_noResults",
"serpentTools/tests/test_ResultsReader.py::TestEmptyAttributes::test_emptyAttributes",
"serpentTools/tests/test_ResultsReader.py::TestReadAllResults::test_b... | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-243 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-243 | |
CORE-GATECH-GROUP__serpent-tools-272 | 0e61685f19f644b9bb7a1c2a2b3d8aec30ffcaf5 | 2019-02-08 13:07:01 | 13961f3712a08e069c1ac96aaecf07ea7e7e5524 | diff --git a/docs/changelog.rst b/docs/changelog.rst
index 8301113..062242e 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -31,6 +31,8 @@ Next
to perturbations, universes, and burnup.
* Plotting routines now use attach to the active plot or generate
a new plot figure if ``ax`` argument not given - :... | BUG Branching Reader fails with uncertainties
## Summary of issue
When reading a file with uncertainties, and the `branching.areUncsPresent` setting is `True`, the code
errors.
Also, I think we can eliminate this setting entirely, because when a file has uncertainties, the value N still indicates the number of grou... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_branching.py b/serpentTools/tests/test_branching.py
index 8f60fb0..9780cd4 100644
--- a/serpentTools/tests/test_branching.py
+++ b/serpentTools/tests/test_branching.py
@@ -50,12 +50,13 @@ class BranchTester(_BranchTesterHelper):
'CMM_TRANSPXS_Z', 'CMM_DIFFCOEF',... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_added_files",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test... | 0.6 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.6",
"reqs_path": [
... | attrs==22.2.0
certifi==2021.5.30
cycler==0.11.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.16.0
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
python-dateutil==2.9.0.post0
PyYAML==3.13
-e git+https://github.com/CORE-GATECH-GROUP/serpent... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/test_branching.py::BranchTester::test_variables",
"serpentTools/tests/test_branching.py::BranchWithUncsTester::test_valsWithUncs"
] | [] | [
"serpentTools/tests/test_branching.py::BranchTester::test_branchingUniverses",
"serpentTools/tests/test_branching.py::BranchTester::test_raiseError",
"serpentTools/tests/test_branching.py::BranchContainerTester::test_cannotAddBurnupDays",
"serpentTools/tests/test_branching.py::BranchContainerTester::test_cont... | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-273 | aa332f9a1f9c3fcb2424d3d2a8b3a949ddb49714 | 2019-02-08 15:25:51 | 13961f3712a08e069c1ac96aaecf07ea7e7e5524 | diff --git a/.travis.yml b/.travis.yml
index f370223..b0f456d 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -3,11 +3,19 @@ python:
- "3.6"
- "3.5"
- "2.7"
+env:
+ - ST_INSTALL=setup
+ - ST_INSTALL=sdist
+ - ST_INSTALL=bdist_wheel
+ - ST_INSTALL=bdist_egg
-# install
-install:
+before_install:
- pip ins... | BUG Data files not installed through pip
## Summary of issue
When installing with pip, the data files used in examples are not present.
## Code for reproducing the issue
From a fresh install using python [`venv`](https://docs.python.org/3.5/library/venv.html):
```
$ python -m venv serpentTools
$ source serpentT... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_branching.py b/serpentTools/tests/test_branching.py
index 9780cd4..8f60fb0 100644
--- a/serpentTools/tests/test_branching.py
+++ b/serpentTools/tests/test_branching.py
@@ -50,13 +50,12 @@ class BranchTester(_BranchTesterHelper):
'CMM_TRANSPXS_Z', 'CMM_DIFFCOEF',... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_added_files",
"has_removed_files",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_... | 0.6 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.6",
"reqs_path": [
... | attrs==22.2.0
certifi==2021.5.30
cycler==0.11.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.16.0
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
python-dateutil==2.9.0.post0
PyYAML==3.13
-e git+https://github.com/CORE-GATECH-GROUP/serpent... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/test_branching.py::BranchTester::test_raiseError",
"serpentTools/tests/test_settings.py::ConfigLoaderTester::test_loadNestedConfig",
"serpentTools/tests/test_settings.py::ConfigLoaderTester::test_loadNestedNonStrict",
"serpentTools/tests/test_settings.py::ConfigLoaderTester::test_loadSingl... | [] | [
"serpentTools/tests/test_branching.py::BranchTester::test_branchingUniverses",
"serpentTools/tests/test_branching.py::BranchTester::test_variables",
"serpentTools/tests/test_branching.py::BranchContainerTester::test_cannotAddBurnupDays",
"serpentTools/tests/test_branching.py::BranchContainerTester::test_conta... | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-288 | 1c730ef70c6f9ce98247e1d8b935d3bb98366e4a | 2019-03-05 03:45:05 | 13961f3712a08e069c1ac96aaecf07ea7e7e5524 | diff --git a/docs/changelog.rst b/docs/changelog.rst
index dd57dbc..90d13c3 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -39,6 +39,15 @@ Next
The API for the |branchCollector| may be subject to change
through revisions until ``0.7.0``
+Incompatible API Changes
+------------------------
+
+* |ho... | Universes in results reader are not zero-indexed
## Summary of issue
The first index for universes is 1, likely taken directly from the result file burnup index. This misconstrues some of the style and pythonicness of the layout, as python arrays start at 0.
## Code for reproducing the issue
Read a result file wit... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_ResultsReader.py b/serpentTools/tests/test_ResultsReader.py
index 1384c4d..50209a5 100644
--- a/serpentTools/tests/test_ResultsReader.py
+++ b/serpentTools/tests/test_ResultsReader.py
@@ -122,11 +122,6 @@ class TestGetUniv(unittest.TestCase):
with self.assertRaises(SerpentT... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 0
},
"num_modified_files": 4
} | 0.6 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio"
],
"pre_install": [
"apt-get update",
"apt-get instal... | attrs==22.2.0
certifi==2021.5.30
coverage==6.2
cycler==0.11.0
execnet==1.9.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.16.0
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
pytest-asyncio==0.16.0
pytest-cov==4.0.0
pytest-mock==3.6.1
pyte... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/test_ResultsReader.py::TestGetUniv::test_validUniv",
"serpentTools/tests/test_ResultsReader.py::TestFilterResults::test_universes",
"serpentTools/tests/test_ResultsReader.py::TestReadAllResults::test_universes",
"serpentTools/tests/test_ResultsReader.py::TestFilterResultsNoBurnup::test_uni... | [] | [
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_emptyFile_noGcu",
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_noResults",
"serpentTools/tests/test_ResultsReader.py::TestEmptyAttributes::test_emptyAttributes",
"serpentTools/tests/test_ResultsReader.py::TestGetUniv::test_allVarsN... | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-288 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-288 | |
CORE-GATECH-GROUP__serpent-tools-289 | 85f47bd559fdc8b1bef3bdea7d64db4a1c5b6271 | 2019-03-05 04:11:09 | 13961f3712a08e069c1ac96aaecf07ea7e7e5524 | diff --git a/docs/changelog.rst b/docs/changelog.rst
index 90d13c3..f7dec84 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -47,6 +47,9 @@ Incompatible API Changes
burnup step was one. All burnup indices are now decreased by
one. Similarly, if no burnup was present in the file, the
values of burnup... | [API] Detector tallies of a single bin are difficult to work with
## Summary of issue
When using a detector w/ a single bin, e.g. one group flux, the bin data in the output file is a single bin. Rather than a proper array, these are floats cast into array form. Indexing doesn't work, but you can get the "values" by co... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_detector.py b/serpentTools/tests/test_detector.py
index 4b34ad3..6a79aee 100644
--- a/serpentTools/tests/test_detector.py
+++ b/serpentTools/tests/test_detector.py
@@ -9,25 +9,19 @@ from six import iteritems
from numpy import arange, array
from numpy.testing import assert_equal
... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 2
},
"num_modified_files": 3
} | 0.6 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.6",
"reqs_path... | attrs==22.2.0
certifi==2021.5.30
cycler==0.11.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.16.0
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
python-dateutil==2.9.0.post0
PyYAML==3.13
-e git+https://github.com/CORE-GATECH-GROUP/serpent... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/test_detector.py::SingleTallyTester::test_singleTally"
] | [] | [
"serpentTools/tests/test_detector.py::CartesianDetectorTester::test_detectorGrids",
"serpentTools/tests/test_detector.py::CartesianDetectorTester::test_detectorIndex",
"serpentTools/tests/test_detector.py::CartesianDetectorTester::test_detectorSlice",
"serpentTools/tests/test_detector.py::CartesianDetectorTes... | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-289 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-289 | |
CORE-GATECH-GROUP__serpent-tools-306 | fb197b44d97ef3ae24d95662dcbdeb1cd9e9694e | 2019-04-12 19:19:33 | 09a5feab5b95f98aef4f7dc7b07edbf8e458f955 | diff --git a/serpentTools/utils/core.py b/serpentTools/utils/core.py
index e56468e..c1b35ad 100644
--- a/serpentTools/utils/core.py
+++ b/serpentTools/utils/core.py
@@ -4,7 +4,7 @@ Core utilities
from re import compile
-from numpy import array, ndarray
+from numpy import array, ndarray, fromiter
# Regular exp... | BUG ADFs in results file fail in numeric conversion
## Summary of issue
When reading a file with assembly discontinuity factors (ADFs), there is a string that serpentTools attempts to convert to a vector. This causes a ValueError
## Code for reproducing the issue
Add the following code to a section of a result file
... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_ResultsReader.py b/serpentTools/tests/test_ResultsReader.py
index 44c9514..001408b 100644
--- a/serpentTools/tests/test_ResultsReader.py
+++ b/serpentTools/tests/test_ResultsReader.py
@@ -1,10 +1,11 @@
"""Test the results reader."""
from os import remove
+from shutil import copy... | {
"commit_name": "head_commit",
"failed_lite_validators": [],
"has_test_patch": true,
"is_lite": true,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 2
},
"num_modified_files": 1
} | 0.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.6",
"reqs_path": [
... | attrs==22.2.0
certifi==2021.5.30
cycler==0.11.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.19.5
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
python-dateutil==2.9.0.post0
PyYAML==3.13
-e git+https://github.com/CORE-GATECH-GROUP/serpent... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/test_ResultsReader.py::ResADFTester::test_adf",
"serpentTools/tests/test_utils.py::VectorConverterTester::test_listOfInts",
"serpentTools/tests/test_utils.py::VectorConverterTester::test_vecOfStr"
] | [] | [
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_emptyAttributes",
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_emptyFile_noGcu",
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_noResults",
"serpentTools/tests/test_ResultsReader.py::TestGetUniv::test_allVarsNone",
... | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-306 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-306 | |
CORE-GATECH-GROUP__serpent-tools-315 | 7ae29a333288609664c41979e8093923cbc95f50 | 2019-05-29 17:36:45 | 09a5feab5b95f98aef4f7dc7b07edbf8e458f955 | diff --git a/docs/changelog.rst b/docs/changelog.rst
index baa3628..2d7fdb2 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -16,6 +16,11 @@ Next
:meth:`~serpentTools.objects.CartesianDetector.meshPlot`, where
only data greater than ``thresh`` is plotted.
+Bug fixes
+---------
+
+* Tally data for det... | Detectors with time binning
## Summary of issue
Detectors with [time binning](http://serpent.vtt.fi/mediawiki/index.php/Input_syntax_manual#det_di) have 13 columns in the detector output file (an additional column indicating the time bin between the normal 1st and 2nd column) and thus get mixed up with the Serpent ... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_detector.py b/serpentTools/tests/test_detector.py
index 6a79aee..a369455 100644
--- a/serpentTools/tests/test_detector.py
+++ b/serpentTools/tests/test_detector.py
@@ -334,6 +334,29 @@ class SingleTallyTester(TestCase):
self.assertEqual(self.detector.errors, 0.05187)
+c... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_added_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 2
},
"num_modif... | 0.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.6",
"reqs_path": [
... | attrs==22.2.0
certifi==2021.5.30
cycler==0.11.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.19.5
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
python-dateutil==2.9.0.post0
PyYAML==3.13
-e git+https://github.com/CORE-GATECH-GROUP/serpent... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/test_detector.py::TimeBinnedDetectorTester::test_timeDetector"
] | [] | [
"serpentTools/tests/test_detector.py::CartesianDetectorTester::test_detectorGrids",
"serpentTools/tests/test_detector.py::CartesianDetectorTester::test_detectorIndex",
"serpentTools/tests/test_detector.py::CartesianDetectorTester::test_detectorSlice",
"serpentTools/tests/test_detector.py::CartesianDetectorTes... | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-315 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-315 | |
CORE-GATECH-GROUP__serpent-tools-321 | b3f3c39609319985f7047dd6fed52654e285cd0b | 2019-07-16 02:30:22 | 09a5feab5b95f98aef4f7dc7b07edbf8e458f955 | diff --git a/docs/changelog.rst b/docs/changelog.rst
index 706620d..97aee8a 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -21,6 +21,16 @@ Bug fixes
---------
* Tally data for detectors with time-bins are properly handled - :issue:`312`
+* Support for generic string universe names for |BranchingReader|... | Support for non-integer named universes for branching reader
## Summary of issue
Serpent 2 allows universe names to be quite generic string literals. However, the branching reader of serpentTools only seems to support universe names that are integers.
This seems to be related to the int conversion on line 113 of ... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_branching.py b/serpentTools/tests/test_branching.py
index 9780cd4..7be45e2 100644
--- a/serpentTools/tests/test_branching.py
+++ b/serpentTools/tests/test_branching.py
@@ -23,7 +23,7 @@ class _BranchTesterHelper(unittest.TestCase):
cls.expectedBranches = {('nom', 'nom', 'no... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 1,
"test_score": 1
},
"num_modified_files": 8
} | 0.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.6",
"reqs_path": [
... | attrs==22.2.0
certifi==2021.5.30
cycler==0.11.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.19.5
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
python-dateutil==2.9.0.post0
PyYAML==3.13
-e git+https://github.com/CORE-GATECH-GROUP/serpent... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/test_branching.py::BranchTester::test_branchingUniverses",
"serpentTools/tests/test_branching.py::BranchContainerTester::test_cannotAddBurnupDays",
"serpentTools/tests/test_branching.py::BranchContainerTester::test_containerGetUniv",
"serpentTools/tests/test_branching.py::BranchContainerTe... | [] | [
"serpentTools/tests/test_branching.py::BranchTester::test_raiseError",
"serpentTools/tests/test_branching.py::BranchTester::test_variables",
"serpentTools/tests/test_xs.py::BranchCollectorTester::test_setAxis",
"serpentTools/tests/test_xs.py::BranchCollectorTester::test_setBurnup",
"serpentTools/tests/test_... | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-324 | 7d9899c1c7ee03797d109211a9416d55ca5c5064 | 2019-07-23 23:15:49 | 09a5feab5b95f98aef4f7dc7b07edbf8e458f955 | diff --git a/docs/changelog.rst b/docs/changelog.rst
index 606a4f7..706620d 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -16,22 +16,11 @@ Next
:meth:`~serpentTools.objects.CartesianDetector.meshPlot`, where
only data greater than ``thresh`` is plotted.
* Mitigate pending deprecated imports from ``... | BUG Failure to read files with burnup and no universes
## Summary of issue
If there are no universes in the file, then the result counter does not get incremented due to an unreachable line
https://github.com/CORE-GATECH-GROUP/serpent-tools/blob/b3f3c39609319985f7047dd6fed52654e285cd0b/serpentTools/parsers/results.... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_ResultsReader.py b/serpentTools/tests/test_ResultsReader.py
index 9f4e678..2a29d02 100644
--- a/serpentTools/tests/test_ResultsReader.py
+++ b/serpentTools/tests/test_ResultsReader.py
@@ -20,14 +20,14 @@ from serpentTools.tests.utils import (
GCU_START_STR = "GCU_UNIVERSE_NAME"... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_added_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 3
},
"num_modified_files": 13
} | 0.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.6",
"reqs_path": [
... | attrs==22.2.0
certifi==2021.5.30
cycler==0.11.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.19.5
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
python-dateutil==2.9.0.post0
PyYAML==5.1.1
-e git+https://github.com/CORE-GATECH-GROUP/serpen... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"serpentTools/tests/test_ResultsReader.py::NoUniverseTester::test_noUniverse",
"serpentTools/tests/test_branching.py::BranchTester::test_branchingUniverses",
"serpentTools/tests/test_branching.py::BranchContainerTester::test_containerGetUniv",
"serpentTools/tests/test_branching.py::BranchWithUncsTester::test_... | [] | [
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_emptyAttributes",
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_emptyFile_noGcu",
"serpentTools/tests/test_ResultsReader.py::TestBadFiles::test_noResults",
"serpentTools/tests/test_ResultsReader.py::TestGetUniv::test_allVarsNone",
... | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-341 | 88b5707ebb49f9fe3d4755999c0659fa6b5ee131 | 2019-10-03 19:30:03 | 09a5feab5b95f98aef4f7dc7b07edbf8e458f955 | diff --git a/.gitignore b/.gitignore
index 924c6e3..b27f41f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -63,8 +63,4 @@ ENV/
# pycharm
.idea/*
-# vim
-.*.swp
-
-# Ctag file
-tags
+/docs/*/generated/
diff --git a/docs/_templates/mydetector.rst b/docs/_templates/mydetector.rst
new file mode 100644
index 0000000..8b20c... | API Remove support for SERPENT 1 detectors
After a discussion with @DanKotlyar, we decided that support for SERPENT 1 detectors will be removed at release 0.8.0. Notice will be sent out to all users in the 0.7.1 release notice. | CORE-GATECH-GROUP/serpent-tools | diff --git a/tests/test_detector.py b/tests/test_detector.py
index 099fd13..9193d6a 100644
--- a/tests/test_detector.py
+++ b/tests/test_detector.py
@@ -10,7 +10,7 @@ from numpy import arange, array
from numpy.testing import assert_equal
from serpentTools.parsers import read
from serpentTools.data import getFile
-fr... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_added_files",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": -1,
"issue_text_score"... | 0.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "... | attrs==22.2.0
certifi==2021.5.30
coverage==6.2
cycler==0.11.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.19.5
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
pytest-cov==4.0.0
python-dateutil==2.9.0.post0
PyYAML==5.1.1
-e git+https://git... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"tests/test_detector.py::CartesianDetectorTester::test_detectorGrids",
"tests/test_detector.py::CartesianDetectorTester::test_detectorIndex",
"tests/test_detector.py::CartesianDetectorTester::test_detectorSlice",
"tests/test_detector.py::CartesianDetectorTester::test_getitem",
"tests/test_detector.py::Carte... | [] | [] | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-346 | 09a5feab5b95f98aef4f7dc7b07edbf8e458f955 | 2019-10-07 19:21:44 | 09a5feab5b95f98aef4f7dc7b07edbf8e458f955 | diff --git a/docs/changelog.rst b/docs/changelog.rst
index 2c68415..5e70766 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -13,6 +13,12 @@ Next
* |HomogUniv| objects no longer automatically convert data to arrays
* Serpent 2.1.31 is the default version for :ref:`serpentVersion` setting
+Bug Fixes
+----... | BUG Burnup and day values wrong for results with multiple gcu, no burnup
## Summary of issue
When reading a result file with multiple homogenized universes and no burnup, the homogenized universes have incorrect values of burnup and days.
## Code for reproducing the issue
Reading a file with four homogenized univ... | CORE-GATECH-GROUP/serpent-tools | diff --git a/tests/test_results.py b/tests/test_results.py
new file mode 100644
index 0000000..057debd
--- /dev/null
+++ b/tests/test_results.py
@@ -0,0 +1,40 @@
+import re
+import os
+
+import pytest
+import serpentTools
+
+
+@pytest.fixture
+def multipleGcuNoBu():
+ origFile = serpentTools.data.getFile("InnerAssem... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 3
},
"num_modified_files": 2
} | 0.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.6",
"reqs_path": [
... | attrs==22.2.0
certifi==2021.5.30
cycler==0.11.0
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.19.5
packaging==21.3
Pillow==8.4.0
pluggy==1.0.0
py==1.11.0
pyparsing==3.1.4
pytest==7.0.1
python-dateutil==2.9.0.post0
PyYAML==5.1.1
-e git+https://github.com/CORE-GATECH-GROUP/serpen... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"tests/test_results.py::test_multipleGcuNoBu"
] | [] | [] | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-346 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-346 | |
CORE-GATECH-GROUP__serpent-tools-377 | 3d11b98046c48eb8a1c625e1dd534bc3af0a7be6 | 2020-01-17 15:52:18 | d8f02d1f064b40e23db4c5ad6bf0bb31b9e8a6da | diff --git a/docs/changelog.rst b/docs/changelog.rst
index e651937..3862113 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -6,6 +6,18 @@
Changelog
=========
+.. _v0.9.2:
+
+0.9.2
+=====
+
+.. _v0.9.2-bugs:
+
+Bug Fixes
+---------
+
+* Detector reader can handle sequential detectors with very similar
+ ... | BUG DetectorReader misses detectors that start with and contain identical names
## Summary of issue
A colleague has a detector file with the following energy dependent detectors: `spectrum`, `spectrumA`, and `spectrumB`. The DetectorReader fails to capture the later two detectors, and messes up the data stored on `spe... | CORE-GATECH-GROUP/serpent-tools | diff --git a/tests/test_detectors.py b/tests/test_detectors.py
index f60aaeb..0462578 100644
--- a/tests/test_detectors.py
+++ b/tests/test_detectors.py
@@ -4,8 +4,10 @@ Test various aspects of the detectors classes
import numpy
import pytest
+import serpentTools
from serpentTools import detectors
+
@pytest.fix... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 2
},
"num_modified_files": 2
} | 0.9 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.7",
"reqs_path": [
"requirements.txt"
],
"test_cmd": "pytest --... | certifi @ file:///croot/certifi_1671487769961/work/certifi
cycler==0.11.0
exceptiongroup==1.2.2
fonttools==4.38.0
importlib-metadata==6.7.0
iniconfig==2.0.0
kiwisolver==1.4.5
matplotlib==3.5.3
numpy==1.21.6
packaging==24.0
Pillow==9.5.0
pluggy==1.2.0
pyparsing==3.1.4
pytest==7.4.4
python-dateutil==2.9.0.post0
PyYAML==6... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2022.12.7=py37h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"tests/test_detectors.py::test_similarDetectors"
] | [] | [
"tests/test_detectors.py::testDetectorProperties",
"tests/test_detectors.py::testCartesianDetector[bins]",
"tests/test_detectors.py::testCartesianDetector[grids]",
"tests/test_detectors.py::testCartesianDetector[bare]",
"tests/test_detectors.py::testCartesianDetector[init]",
"tests/test_detectors.py::test... | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-377 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-377 | |
CORE-GATECH-GROUP__serpent-tools-4 | 606a90d665a15a16c437dd1fb72ef014aa480142 | 2017-09-19 15:34:09 | 606a90d665a15a16c437dd1fb72ef014aa480142 | diff --git a/serpentTools/__init__.py b/serpentTools/__init__.py
index 8af8d0f..d38090d 100644
--- a/serpentTools/__init__.py
+++ b/serpentTools/__init__.py
@@ -1,7 +1,7 @@
from serpentTools import settings
from serpentTools import parsers
-__version__ = '0.1.1'
+__version__ = '0.1.2'
# List TODOS/feature ... | `getXY` for `DepletedMaterial` raises unhelpful value error if days missing from object
If a depleted material is asked to get some quantity for days that are not present, the following error is raised:
```
File "C:\Users\ajohnson400\AppData\Local\Continuum\Anaconda3\lib\site-packages\serpenttools-0.1.1rc0-py3.5.eg... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_depletion.py b/serpentTools/tests/test_depletion.py
index 0574305..d7f6d52 100644
--- a/serpentTools/tests/test_depletion.py
+++ b/serpentTools/tests/test_depletion.py
@@ -156,6 +156,17 @@ class DepletedMaterialTester(_DepletionTestHelper):
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 2
},
"num_modified_files": 7
} | unknown | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "pytest",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path": null,
"tes... | contourpy==1.3.0
cycler==0.12.1
drewtils==0.1.9
exceptiongroup @ file:///croot/exceptiongroup_1706031385326/work
fonttools==4.56.0
importlib_resources==6.5.2
iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
kiwisolver==1.4.7
matplotlib==3.9.4
numpy==2.0.2
packaging @ file:///croot/packaging_17344... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- exceptiongroup=1.2.0=py39h06a4308_0
- iniconfig=1.1.1=pyhd3eb1b0_0
... | [
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_getXY_raisesError_badTime"
] | [] | [
"serpentTools/tests/test_depletion.py::DepletionTester::test_ReadMaterials",
"serpentTools/tests/test_depletion.py::DepletionTester::test_metadata",
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_fetchData",
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_getXY_adens",... | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-40 | ebd70724628e6108a10b47338c31d3fcb3af7d03 | 2017-10-19 21:23:42 | 224ef748f519903554f346d48071e58b43dcf902 | diff --git a/.travis.yml b/.travis.yml
index 19f06e3..98b5729 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,3 +1,5 @@
+env:
+ - ONTRAVIS=True
language: python
python:
- "3.6"
diff --git a/serpentTools/objects/__init__.py b/serpentTools/objects/__init__.py
index 2ef74d4..53949d9 100644
--- a/serpentTools/object... | Explicit attributes for supporting objects
Currently, supporting objects look for their attributes first in their own metadata, then in the metadata of the metadata of the parent. This poses some introspection ugliness, as it is difficult to determine what attributes are on the object.
Each supporting object should ... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_depletion.py b/serpentTools/tests/test_depletion.py
index 2e00eec..6e8e0d5 100644
--- a/serpentTools/tests/test_depletion.py
+++ b/serpentTools/tests/test_depletion.py
@@ -120,18 +120,18 @@ class DepletedMaterialTester(_DepletionTestHelper):
self.assertListEqual(self.materi... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 2,
"test_score": 2
},
"num_modified_files": 5
} | 1.00 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "pytest",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path": null,
"tes... | contourpy==1.3.0
cycler==0.12.1
drewtils==0.1.9
exceptiongroup @ file:///croot/exceptiongroup_1706031385326/work
fonttools==4.56.0
importlib_resources==6.5.2
iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
kiwisolver==1.4.7
matplotlib==3.9.4
numpy==2.0.2
packaging @ file:///croot/packaging_17344... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- exceptiongroup=1.2.0=py39h06a4308_0
- iniconfig=1.1.1=pyhd3eb1b0_0
... | [
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_getXY_adens",
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_getXY_burnup_full",
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_getXY_burnup_slice",
"serpentTools/tests/test_depletion.py::DepletedMate... | [] | [
"serpentTools/tests/test_depletion.py::DepletionTester::test_ReadMaterials",
"serpentTools/tests/test_depletion.py::DepletionTester::test_metadata",
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_fetchData",
"serpentTools/tests/test_depletion.py::DepletedMaterialTester::test_materials"
] | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-412 | a69471eb211a18768aa55c695be906e006b4b4a6 | 2020-08-10 14:22:31 | d8f02d1f064b40e23db4c5ad6bf0bb31b9e8a6da | diff --git a/serpentTools/parsers/depletion.py b/serpentTools/parsers/depletion.py
index aa730d8..6e5e05a 100644
--- a/serpentTools/parsers/depletion.py
+++ b/serpentTools/parsers/depletion.py
@@ -262,7 +262,7 @@ class DepletionReader(DepPlotMixin, MaterialReader):
if varName == 'NAMES':
... | BUG ResultsReader drops last digit of scalar data
## Summary of issue
When reading a result file, we expect scalar data to have a space between the last digit and the colon due to
https://github.com/CORE-GATECH-GROUP/serpent-tools/blob/dd886ff2b2cd19e8dc681245134cef8815d61f31/serpentTools/utils/core.py#L14 and https:... | CORE-GATECH-GROUP/serpent-tools | diff --git a/tests/test_pt_results.py b/tests/test_pt_results.py
new file mode 100644
index 0000000..5b4fab3
--- /dev/null
+++ b/tests/test_pt_results.py
@@ -0,0 +1,28 @@
+"""pytest tests for reading the result file"""
+
+import pytest
+import serpentTools.data
+from serpentTools.settings import rc
+
+
+@pytest.fixture... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 0
},
"num_modified_files": 5
} | 0.9 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.7",
"reqs_path": [
... | certifi @ file:///croot/certifi_1671487769961/work/certifi
cycler==0.11.0
exceptiongroup==1.2.2
fonttools==4.38.0
importlib-metadata==6.7.0
iniconfig==2.0.0
kiwisolver==1.4.5
matplotlib==3.5.3
numpy==1.21.6
packaging==24.0
Pillow==9.5.0
pluggy==1.2.0
pyparsing==3.1.4
pytest==7.4.4
python-dateutil==2.9.0.post0
PyYAML==6... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2022.12.7=py37h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"tests/test_pt_utils.py::test_str2vec[1]"
] | [] | [
"tests/test_pt_utils.py::test_str2vec[5]",
"tests/test_pt_utils.py::test_str2vec[10]",
"tests/test_utils.py::VariableConverterTester::test_variableConversion",
"tests/test_utils.py::SplitValsTester::test_splitAtCols",
"tests/test_utils.py::SplitValsTester::test_splitCopy",
"tests/test_utils.py::SplitValsT... | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-412 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-412 | |
CORE-GATECH-GROUP__serpent-tools-447 | f7eb3e1c843f7d2506fe7ffa378584d7602a3bb9 | 2021-05-14 18:34:11 | d8f02d1f064b40e23db4c5ad6bf0bb31b9e8a6da | diff --git a/docs/variableGroups.rst b/docs/variableGroups.rst
index 8b2fd56..723a8a5 100644
--- a/docs/variableGroups.rst
+++ b/docs/variableGroups.rst
@@ -30,19 +30,227 @@ variable names converted to ``mixedCaseNames``. This conversion is done
to fit the style of the project and reduce a few keystrokes for accessing... | ENH Support Serpent 2.1.32
**Is your feature request related to a problem? Please describe.**
Warning messages like
```
WARN SERPENT Serpent 2.1.32 found in godiva_res.m, but version 2.1.31 is defined in settings
Attemping to read anyway. Please report strange behaviors/failures to developers.
```
(also a typo)... | CORE-GATECH-GROUP/serpent-tools | diff --git a/tests/test_results.py b/tests/test_results.py
index 057debd..e562cc3 100644
--- a/tests/test_results.py
+++ b/tests/test_results.py
@@ -1,6 +1,9 @@
import re
import os
+from os.path import join as pjoin
+from tempfile import TemporaryDirectory
+import numpy
import pytest
import serpentTools
@@ -38,... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 2
},
"num_modified_files": 3
} | 0.9 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.8",
"reqs_path": [
... | cycler==0.12.1
exceptiongroup==1.2.2
iniconfig==2.1.0
kiwisolver==1.4.7
matplotlib==3.3.4
numpy==1.24.4
packaging==24.2
pillow==10.4.0
pluggy==1.5.0
pyparsing==3.1.4
pytest==8.3.5
python-dateutil==2.9.0.post0
PyYAML==6.0.2
-e git+https://github.com/CORE-GATECH-GROUP/serpent-tools.git@f7eb3e1c843f7d2506fe7ffa378584d7602... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgc... | [
"tests/test_results.py::test_2132_nofilter",
"tests/test_results.py::test_2132_filterburnup"
] | [] | [
"tests/test_results.py::test_multipleGcuNoBu"
] | [] | MIT License | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-447 | swerebench/sweb.eval.x86_64.core-gatech-group_1776_serpent-tools-447 | |
CORE-GATECH-GROUP__serpent-tools-456 | e8cd0943cafd7f1cbc5f5a74fabf652097a12777 | 2021-09-08 21:50:31 | d8f02d1f064b40e23db4c5ad6bf0bb31b9e8a6da | diff --git a/docs/changelog.rst b/docs/changelog.rst
index 5f652a4..5da1ed1 100644
--- a/docs/changelog.rst
+++ b/docs/changelog.rst
@@ -16,6 +16,10 @@ Changelog
.. _v0.9.4:
+0.9.4rc1
+========
+* Support for reading ``pspec`` fields in xsplot files
+
:release-tag:`0.9.4rc0`
====================
diff --git a/s... | Can't Parse Cross Section Data From Serpent 2.1.32
## Summary of issue
I am getting `ValueError: Unidentifiable entry` when trying to load my `*_xs0.m` file, because `serpentTools` doesn't know what to do with entries suffixed by `pspec`. These appear to be new to Serpent 2.1.32, and the code runs fine when I manuall... | CORE-GATECH-GROUP/serpent-tools | diff --git a/tests/test_xsplot.py b/tests/test_xsplot.py
index b87a39c..1ae5a6c 100644
--- a/tests/test_xsplot.py
+++ b/tests/test_xsplot.py
@@ -1,12 +1,14 @@
"""Test the xsplot reader."""
import unittest
from numpy import ndarray, array, newaxis
-
from numpy.testing import assert_array_equal
+import pytest
from... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 1
},
"num_... | 0.9 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.7",
"reqs_path": [
... | certifi @ file:///croot/certifi_1671487769961/work/certifi
cycler==0.11.0
exceptiongroup==1.2.2
fonttools==4.38.0
importlib-metadata==6.7.0
iniconfig==2.0.0
kiwisolver==1.4.5
matplotlib==3.5.3
numpy==1.21.6
packaging==24.0
Pillow==9.5.0
pluggy==1.2.0
pyparsing==3.1.4
pytest==7.4.4
python-dateutil==2.9.0.post0
PyYAML==6... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2022.12.7=py37h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"tests/test_xsplot.py::test_goodMisc",
"tests/test_xsplot.py::test_missingPspec"
] | [] | [
"tests/test_xsplot.py::XSPlotTester::test1_allXS",
"tests/test_xsplot.py::XSPlotTester::test2_testPrintMT"
] | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-72 | efd13f38b728415f603bef6ab68ae3afd4694983 | 2017-12-19 15:46:17 | 0f11460f4d97775d096a6cdb8e1c2b94549c9f4e | diff --git a/README.rst b/README.rst
index 5ab1e01..c7b11fb 100644
--- a/README.rst
+++ b/README.rst
@@ -44,9 +44,6 @@ References
----------
The Annals of Nuclear Energy article should be cited for all work
-using ``SERPENT``. If you wish to cite this project, please cite as
-
-.. code:: bibtex
using ``SERPENT``.... | Update settings from config file
Currently, the settings loader has to take settings one at a time. For the sake of consistency and ease, it would be nice to have the `rc` settings loader take a file path argument and load all settings from there.
I think a `yaml` file would be pretty straight forward, since we alre... | CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_settings.py b/serpentTools/tests/test_settings.py
index de3b43d..b6f8e50 100644
--- a/serpentTools/tests/test_settings.py
+++ b/serpentTools/tests/test_settings.py
@@ -1,133 +1,204 @@
-"""Tests for the settings loaders."""
-import warnings
-import unittest
-
-from serpentTools i... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_added_files",
"has_removed_files",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"... | 0.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "numpy>=1.11.1 matplotlib>=1.5.0 pyyaml>=3.08 scipy six",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.6",
"reqs_path": null,
"test_cm... | attrs==22.2.0
certifi==2021.5.30
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver @ file:///tmp/build/80754af9/kiwisolver_1612282412546/work
matplotlib @ file:///tmp/build/80754af9/matplotlib-suite_1613407855456/work
numpy @ file:///tmp/build/80754af9/n... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=openblas
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- cycler=0.11... | [
"serpentTools/tests/test_settings.py::ConfigLoaderTester::test_loadNestedConfig",
"serpentTools/tests/test_settings.py::ConfigLoaderTester::test_loadNestedNonStrict",
"serpentTools/tests/test_settings.py::ConfigLoaderTester::test_loadSingleLevelConfig"
] | [] | [
"serpentTools/tests/test_settings.py::DefaultSettingsTester::test_cannotChangeDefaults",
"serpentTools/tests/test_settings.py::DefaultSettingsTester::test_getDefault",
"serpentTools/tests/test_settings.py::RCTester::test_expandExtras",
"serpentTools/tests/test_settings.py::RCTester::test_failAtBadSetting_opti... | [] | MIT License | null | null | |
CORE-GATECH-GROUP__serpent-tools-85 | d46f0e5a22b6ac257b7ce5f83222eba0f26c3895 | 2018-02-05 18:59:30 | 1d475a4dd8982532d097286468b2d616345c8ab8 | diff --git a/serpentTools/__init__.py b/serpentTools/__init__.py
index 8933bae..6343059 100644
--- a/serpentTools/__init__.py
+++ b/serpentTools/__init__.py
@@ -4,16 +4,6 @@ ROOT_DIR = os.path.dirname(__file__)
from serpentTools.parsers import read
from serpentTools import messages
-
-# List TODOS/feature requests ... | Clean up the code
There are some debug codes, ```if __name__ == '__main__'```, in some of the scripts. They should be removed. Test scripts, e.g. unittests, still need those to run the tests.
- [x] `detector.py`
- [x] todos in the root __init__.py
| CORE-GATECH-GROUP/serpent-tools | diff --git a/serpentTools/tests/test_container.py b/serpentTools/tests/test_container.py
index bba2a3a..fbed4dc 100644
--- a/serpentTools/tests/test_container.py
+++ b/serpentTools/tests/test_container.py
@@ -10,7 +10,7 @@ class HomogenizedUniverseTester(unittest.TestCase):
@classmethod
def setUpClass(cls):... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 3,
"issue_text_score": 2,
"test_score": 3
},
"num_modified_files": 9
} | 0.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "numpy>=1.11.1 matplotlib>=1.5.0 pyyaml>=3.08 scipy",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
... | attrs==22.2.0
certifi==2021.5.30
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
importlib-metadata==4.8.3
iniconfig==1.1.1
kiwisolver @ file:///tmp/build/80754af9/kiwisolver_1612282412546/work
matplotlib @ file:///tmp/build/80754af9/matplotlib-suite_1613407855456/work
numpy @ file:///tmp/build/80754af9/n... | name: serpent-tools
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=openblas
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- cycler=0.11... | [
"serpentTools/tests/test_container.py::HomogenizedUniverseTester::test_getB1Exp",
"serpentTools/tests/test_container.py::HomogenizedUniverseTester::test_getB1Unc",
"serpentTools/tests/test_container.py::HomogenizedUniverseTester::test_getInfExp",
"serpentTools/tests/test_container.py::HomogenizedUniverseTeste... | [] | [] | [] | MIT License | null | null | |
CS-SI__eodag-1108 | e619c88de826047b8f46f4485ca5537a58e60678 | 2024-04-23 15:45:29 | 0a6208a6e306461fca3f66c1653a41ffda54dfb6 | github-actions[bot]: ## Test Results
1 files - 3 1 suites - 3 1m 3s :stopwatch: - 4m 31s
506 tests + 1 496 :white_check_mark: - 6 3 :zzz: ± 0 7 :x: +7
506 runs - 1 514 496 :white_check_mark: - 1 436 3 :zzz: - 85 7 :x: +7
For more details on these failures, see [this check](https://gi... | diff --git a/README.rst b/README.rst
index 0eff4243..441dd1c6 100644
--- a/README.rst
+++ b/README.rst
@@ -84,6 +84,9 @@ And with ``conda`` from the `conda-forge channel <https://anaconda.org/conda-for
conda install -c conda-forge eodag
+Please note that EODAG comes with a minimal set of dependencies. If you wa... | move external python apis and server to extras_require
Get external python apis out of `install_requires` (`usgs`, `ecmwf-api-client`), in order to keep `eodag` core as light as possible. Also move server mode the same way.
Raise a well formatted error message if the external api is needed:
```
Access to ECMWF dat... | CS-SI/eodag | diff --git a/tests/test_requirements.py b/tests/test_requirements.py
index 86e15515..9ef2dc9b 100644
--- a/tests/test_requirements.py
+++ b/tests/test_requirements.py
@@ -19,12 +19,15 @@
import ast
import configparser
import os
+import re
import unittest
+from typing import Any, Dict, Iterator, Set
import import... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": -1,
"issue_text_score": 0,
"test_score": -1
},
"num_modified_files": 11
} | 2.12 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requirements.txt"
],
... | annotated-types==0.7.0
anyio==4.9.0
backports.tarfile==1.2.0
beautifulsoup4==4.13.3
boto3==1.37.23
boto3-stubs==1.37.23
botocore==1.37.23
botocore-stubs==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptograp... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_requirements.py::TestRequirements::test_all_requirements",
"tests/test_requirements.py::TestRequirements::test_plugins_extras",
"tests/units/test_core.py::TestCore::test_prune_providers_list_skipped_plugin"
] | [] | [
"tests/units/test_core.py::TestCore::test_available_sortables",
"tests/units/test_core.py::TestCore::test_build_index_ko",
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-1262 | f7efdd09236091864c16b46822730cf1b97317c9 | 2024-07-15 09:56:06 | 2473ac169a3d05f04f83d4f227c2fb63689ae2d6 | github-actions[bot]: ## Test Results
4 files ±0 4 suites ±0 6m 8s :stopwatch: -6s
552 tests +1 549 :white_check_mark: +1 3 :zzz: ±0 0 :x: ±0
2 208 runs +4 2 106 :white_check_mark: +4 102 :zzz: ±0 0 :x: ±0
Results for commit 250c04bd. ± Comparison against base commit 1e422214.
[test-results... | diff --git a/eodag/plugins/apis/usgs.py b/eodag/plugins/apis/usgs.py
index 2e552f0b..d4ecf61f 100644
--- a/eodag/plugins/apis/usgs.py
+++ b/eodag/plugins/apis/usgs.py
@@ -172,11 +172,39 @@ class UsgsApi(Api):
max_results=items_per_page,
starting_number=(1 + (page - 1) * items_per_page)... | USGS Search by ID lists many products instead of just the matching one
When I try to use `eodag.search` method with setting the `id` parameter, it lists many (millions) of products instead of just the product matching the ID, and the only work around I found is to iterate through all the pages and look for the matching... | CS-SI/eodag | diff --git a/tests/units/test_apis_plugins.py b/tests/units/test_apis_plugins.py
index 30cfbb41..7f3d184a 100644
--- a/tests/units/test_apis_plugins.py
+++ b/tests/units/test_apis_plugins.py
@@ -392,6 +392,65 @@ class TestApisPluginEcmwfApi(BaseApisPluginTest):
class TestApisPluginUsgsApi(BaseApisPluginTest):
+ ... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 0
},
"num_modified_files": 2
} | 3.0 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requirements.txt"
],
"test_cmd": "pyte... | annotated-types==0.7.0
anyio==4.9.0
backports.tarfile==1.2.0
beautifulsoup4==4.13.3
boto3==1.37.23
boto3-stubs==1.37.23
botocore==1.37.23
botocore-stubs==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptograp... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_query_by_id"
] | [] | [
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_authenticate",
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download",
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download_all",
"tests/units/test_ap... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-1262 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-1262 |
CS-SI__eodag-1271 | 97b7b6f881714b4c40029a174c2539085cd50868 | 2024-07-24 16:34:33 | 2473ac169a3d05f04f83d4f227c2fb63689ae2d6 | github-actions[bot]: ## Test Results
2 files - 2 2 suites - 2 1m 34s :stopwatch: - 4m 43s
553 tests ± 0 549 :white_check_mark: - 1 3 :zzz: ± 0 1 :x: +1
553 runs - 1 659 549 :white_check_mark: - 1 561 3 :zzz: - 99 1 :x: +1
For more details on these failures, see [this check](https://g... | diff --git a/docs/notebooks/api_user_guide/4_search.ipynb b/docs/notebooks/api_user_guide/4_search.ipynb
index c131f344..ac416c2b 100644
--- a/docs/notebooks/api_user_guide/4_search.ipynb
+++ b/docs/notebooks/api_user_guide/4_search.ipynb
@@ -2140,14 +2140,14 @@
"cell_type": "markdown",
"metadata": {},
"sou... | rename camelCase parameters and methods
Rename:
- `sortBy` to `sortby`
- `orderDownload` to `order_download`
- `orderDownloadStatus` to `order_download_status` | CS-SI/eodag | diff --git a/tests/units/test_core.py b/tests/units/test_core.py
index 9fc9cdd9..63749da5 100644
--- a/tests/units/test_core.py
+++ b/tests/units/test_core.py
@@ -2669,7 +2669,7 @@ class TestCoreSearch(TestCoreBase):
mock_postjsonsearch__request,
):
"""search must sort results by sorting paramete... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 0,
"test_score": ... | 3.0 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": [
"apt... | annotated-types==0.7.0
anyio==4.9.0
backports.tarfile==1.2.0
beautifulsoup4==4.13.3
boto3==1.37.23
boto3-stubs==1.37.23
botocore==1.37.23
botocore-stubs==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptograp... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCoreSearch::test_search_sort_by",
"tests/units/test_core.py::TestCoreSearch::test_search_sort_by_raise_errors",
"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_get",
"tests/units/test_download_plugins.py::TestDownloadPluginHttp::te... | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"
] | [
"tests/units/test_core.py::TestCore::test_available_sortables",
"tests/units/test_core.py::TestCore::test_build_index_ko",
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-1338 | 1a1a40f4c4ec7d7672aa917fa0d6a28326df25da | 2024-10-10 12:51:06 | 2473ac169a3d05f04f83d4f227c2fb63689ae2d6 | github-actions[bot]: ## Test Results
4 files ±0 4 suites ±0 6m 6s :stopwatch: -1s
567 tests +2 564 :white_check_mark: +2 3 :zzz: ±0 0 :x: ±0
2 268 runs +8 2 172 :white_check_mark: +6 96 :zzz: +2 0 :x: ±0
Results for commit f2bfdcc0. ± Comparison against base commit 1a1a40f4.
[test-results]:... | diff --git a/docs/plugins_reference/auth.rst b/docs/plugins_reference/auth.rst
index 8f4b0206..fbad669f 100644
--- a/docs/plugins_reference/auth.rst
+++ b/docs/plugins_reference/auth.rst
@@ -9,6 +9,8 @@ Multiple authentication plugins can be defined per provider under ``auth``, ``se
using *matching settings* :attr:`~e... | Raise an error when a request to a backend provider fails
When a request to a provider such as cop_ads fails because of a malformed request (e.g. providing a date range with an end date before the start date), eodag logs the error, which may be unnotified by the user. Instead it should raise an error. | CS-SI/eodag | diff --git a/tests/integration/test_core_search.py b/tests/integration/test_core_search.py
index e5ae64b2..46b83844 100644
--- a/tests/integration/test_core_search.py
+++ b/tests/integration/test_core_search.py
@@ -495,6 +495,23 @@ class TestCoreSearch(unittest.TestCase):
},
)
+ # auth pl... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 0
},
"num_modified_files": 6
} | 3.0 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path... | annotated-types==0.7.0
anyio==4.9.0
backports.tarfile==1.2.0
beautifulsoup4==4.13.3
boto3==1.37.23
boto3-stubs==1.37.23
botocore==1.37.23
botocore-stubs==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptograp... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_get_raises_if_request_failed",
"tests/units/test_http_server.py::RequestTestCase::test_error_handler_supports_request_exception_with_status_code_none"
] | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"
] | [
"tests/integration/test_core_search.py::TestCoreSearch::test_core_search_auths_matching",
"tests/integration/test_core_search.py::TestCoreSearch::test_core_search_errors_buildpost",
"tests/integration/test_core_search.py::TestCoreSearch::test_core_search_errors_odata",
"tests/integration/test_core_search.py::... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-1357 | cdee784fa2d227c8e908610422140188df4ed142 | 2024-10-18 14:22:22 | 2473ac169a3d05f04f83d4f227c2fb63689ae2d6 | github-actions[bot]: ## Test Results
2 files - 2 2 suites - 2 2m 49s :stopwatch: - 2m 51s
568 tests ± 0 561 :white_check_mark: - 4 3 :zzz: ± 0 4 :x: +4
1 136 runs - 1 136 1 126 :white_check_mark: - 1 050 6 :zzz: - 90 4 :x: +4
For more details on these failures, see [this chec... | diff --git a/docs/getting_started_guide/providers.rst b/docs/getting_started_guide/providers.rst
index 55b28631..d3bc844e 100644
--- a/docs/getting_started_guide/providers.rst
+++ b/docs/getting_started_guide/providers.rst
@@ -23,6 +23,7 @@ Products from the following providers are made avaiable through ``eodag``:
S... | Support geodes provider
Support geodes provider : https://geodes.cnes.fr/migration-de-peps-vers-geodes/
Deprecate peps provider
Add geodes provider
| CS-SI/eodag | diff --git a/tests/integration/test_core_search.py b/tests/integration/test_core_search.py
index 46b83844..69d20246 100644
--- a/tests/integration/test_core_search.py
+++ b/tests/integration/test_core_search.py
@@ -237,6 +237,7 @@ class TestCoreSearch(unittest.TestCase):
"peps",
"cop_d... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 3,
"test_score": 0
},... | 3.0 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": [
"apt... | annotated-types==0.7.0
anyio==4.9.0
backports.tarfile==1.2.0
beautifulsoup4==4.13.3
boto3==1.37.23
boto3-stubs==1.37.23
botocore==1.37.23
botocore-stubs==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptograp... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/integration/test_core_search.py::TestCoreSearch::test_core_search_fallback_find_nothing",
"tests/integration/test_core_search.py::TestCoreSearch::test_core_search_fallback_find_on_first",
"tests/integration/test_core_search.py::TestCoreSearch::test_core_search_fallback_find_on_fourth",
"tests/integrati... | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"
] | [
"tests/integration/test_core_search.py::TestCoreSearch::test_core_search_auths_matching",
"tests/integration/test_core_search.py::TestCoreSearch::test_core_search_errors_buildpost",
"tests/integration/test_core_search.py::TestCoreSearch::test_core_search_errors_odata",
"tests/integration/test_core_search.py::... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-1536 | b7cc06e19025e5bbf14e28a0975f1749e21e9be3 | 2025-02-21 10:04:30 | 67f653deb272109dae563f5cc513ca696561bf2c | github-actions[bot]: ## Test Results
2 files - 2 2 suites - 2 3m 14s ⏱️ - 3m 24s
607 tests ± 0 597 ✅ - 7 3 💤 ± 0 7 ❌ + 7
1 214 runs - 1 214 1 194 ✅ - 1 136 6 💤 - 92 14 ❌ +14
For more details on these failures, see [this check](https://github.com/CS-SI/eodag/runs/3759557051... | diff --git a/eodag/config.py b/eodag/config.py
index 0ceb1f1f..db5ae7a0 100644
--- a/eodag/config.py
+++ b/eodag/config.py
@@ -779,6 +779,7 @@ def provider_config_init(
and provider_config.search.type
in [
"StacSearch",
+ "StacListAssets",
"Stat... | Geodes & Geodes_s3 have the same key in pre release 3.1.0b2
**Describe the bug**
- The latest pre-release adds geodes_s3 for internal access the CNES data lake
- The latest provider config uses the same key
```
- geodes:
priority: # Lower value means lower priority (Default: 0)
search: # Search parameters conf... | CS-SI/eodag | diff --git a/tests/units/test_core.py b/tests/units/test_core.py
index 3b8faf95..9f5fdfd8 100644
--- a/tests/units/test_core.py
+++ b/tests/units/test_core.py
@@ -305,6 +305,7 @@ class TestCore(TestCoreBase):
"dedl",
"earth_search",
"geodes",
+ "geodes_s3",
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 0,
"test_score": 0
},
"num_modified_files": 2
} | 3.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requirements-dev.txt"
],
"test_cmd": "... | annotated-types==0.7.0
anyio==4.9.0
backports.tarfile==1.2.0
beautifulsoup4==4.13.3
boto3==1.37.27
boto3-stubs==1.37.27
botocore==1.37.27
botocore-stubs==1.37.27
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptograp... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCore::test_available_sortables",
"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok"
] | [] | [
"tests/units/test_core.py::TestCore::test_build_index_ko",
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-1551 | 643cb3c0e6228ebf83ba01bf38a80b05162a7ab4 | 2025-03-06 17:52:56 | 67f653deb272109dae563f5cc513ca696561bf2c | diff --git a/docs/_static/params_mapping_extra.csv b/docs/_static/params_mapping_extra.csv
index c048a7cf..ba9cdbb3 100644
--- a/docs/_static/params_mapping_extra.csv
+++ b/docs/_static/params_mapping_extra.csv
@@ -1,17 +1,14 @@
parameter,cop_ads,cop_cds,cop_dataspace,cop_ewds,cop_marine,creodias,dedt_lumi,earth_searc... | deprecated usgs login endpoint to login-token endpoint
The current `login` endpoint, which is used for authentication within the API, will be deprecated in February of 2025. Users are encouraged to create one or more M2M Application Tokens and to transition to using the `login-token` endpoint in lieu of the current `lo... | CS-SI/eodag | diff --git a/tests/units/test_apis_plugins.py b/tests/units/test_apis_plugins.py
index 0d6224ab..3cb0756b 100644
--- a/tests/units/test_apis_plugins.py
+++ b/tests/units/test_apis_plugins.py
@@ -485,21 +485,28 @@ class TestApisPluginUsgsApi(BaseApisPluginTest):
USGSError("USGS error"),
None,
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": -1,
"issue_text_score": 0,
"test_score": -1
},
"n... | 3.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path... | annotated-types==0.7.0
anyio==4.9.0
backports.tarfile==1.2.0
beautifulsoup4==4.13.3
boto3==1.37.27
boto3-stubs==1.37.27
botocore==1.37.27
botocore-stubs==1.37.27
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptograp... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_authenticate"
] | [] | [
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_authenticate",
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download",
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download_all",
"tests/units/test_ap... | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-190 | af9afc8f4e21f6af129c10a1763fb560ac0dfbe2 | 2021-03-19 17:54:55 | 49b15ccd7aa5b83f19fb98b8b4a0dae279c2c18c | sbrunato: For `astraea_eod`, STAC API pagination only needs `item["links"][]["rel"] == "next"`. `page` parameter is only optional, see https://github.com/radiantearth/stac-api-spec/tree/master/item-search#paging.
For STAC providers, we should this `next` entry by default instead of `page`+`limit`.
This could be d... | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 4655c3e3..6b84203c 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -59,6 +59,10 @@ logger = logging.getLogger("eodag.core")
# pagination defaults
DEFAULT_PAGE = 1
DEFAULT_ITEMS_PER_PAGE = 20
+# Default maximum number of items per page requested by se... | Search for all the products matching some criteria with a given provider
We have had a lot of discussions on a private GitLab instance before we moved to GitHub about how to search/download all the products matching some criteria.
The problems we observed with the current API were:
* The method `search` returns a t... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index bd969304..83d9354e 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -25,7 +25,7 @@ import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from eodag import EODataAccessGateway, api, config
-from eodag.api.core... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 2
},
"num_modified_files": 4
} | 2.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"nose",
"coverage",
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo_noresult",
"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_apikey_search_aws_eos",
"tests/test_e... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_e... | [] | [] | Apache License 2.0 | null | null |
CS-SI__eodag-195 | 11a6c14378b0f02b8708b38ce7bc68a984beb4ce | 2021-03-22 06:07:45 | 49b15ccd7aa5b83f19fb98b8b4a0dae279c2c18c | diff --git a/docs/_static/custom.css b/docs/_static/custom.css
new file mode 100644
index 00000000..6a54a42e
--- /dev/null
+++ b/docs/_static/custom.css
@@ -0,0 +1,4 @@
+div.sphinxsidebar {
+ max-height: 100%;
+ overflow-y: auto;
+}
diff --git a/docs/conf.py b/docs/conf.py
index 5357ea66..3c6fddcb 100644
--- a/do... | End-to-end test fails for sobloo
```
FAIL: test_end_to_end_search_download_airbus (test_end_to_end.TestEODagEndToEnd)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/maxime/TRAVAIL/06_EODAG/01_eodag/eodag/tests/test_end_to_end.py", line 278, in... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index c0f3a8b0..bd969304 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -31,7 +31,7 @@ from eodag.api.product.drivers import DRIVERS
from eodag.api.product.drivers.base import NoDriver
from eodag.api.search_result import SearchResult
from eodag.cli import dow... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_added_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 3
},
"num_modified_files": 4
} | 2.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"nose",
"coverage",
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_config.py::TestProviderConfig::test_provider_config_merge",
"tests/test_config.py::TestProviderConfig::test_provider_config_name",
"tests/test_config.py::TestProviderConfig::test_provider_config_update",
"tests/test_config.py::TestProviderConfig::test_provider_config_valid",
"tests/test_config.p... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_astraea_eod",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_aws_eos",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_creodias",
"tests/test_end_to_end.py::TestEODagEndTo... | [] | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-200 | af9afc8f4e21f6af129c10a1763fb560ac0dfbe2 | 2021-03-24 12:48:40 | 49b15ccd7aa5b83f19fb98b8b4a0dae279c2c18c | diff --git a/CHANGES.rst b/CHANGES.rst
index 59bcdfc1..9998e581 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -1,6 +1,11 @@
Release history
---------------
+2.2.0 (2021-xx-xx)
+++++++++++++++++++
+
+- More explicit signature for ``setup_logging``, fixes `GH-197 <https://github.com/CS-SI/eodag/issues/197>`_
+
2.1.1... | Improve the signature of setup_logging
Which is currently
```python
def setup_logging(**kwargs):
```
while:
```python
def setup_logging(verbose=None):
```
would be more explicit.
To make it exactly backwards compatible we'd need to raise a KeyError if called with `setup_logging()`. I don't expect anyone to r... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index bd969304..83d9354e 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -25,7 +25,7 @@ import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from eodag import EODataAccessGateway, api, config
-from eodag.api.core... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 3
},
"num_modified_files": 7
} | 2.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"sphinx"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9"... | alabaster==0.7.16
attrs==25.3.0
babel==2.17.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo_noresult",
"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_apikey_search_aws_eos",
"tests/test_e... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_e... | [] | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-201 | ab1c1054e802d7a25980c331eb19a1c48f1ffc53 | 2021-03-24 15:17:18 | 49b15ccd7aa5b83f19fb98b8b4a0dae279c2c18c | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 6b84203c..31a214cd 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -428,7 +428,7 @@ class EODataAccessGateway(object):
kwargs[search_key]
)
if results is None:
- results = searche... | guess_product_type doesn't return all the matching products
The method `Searcher.search()` of *whoosh* [accepts a `limit` parameter](https://whoosh.readthedocs.io/en/latest/searching.html#the-searcher-object) that can be set to `None` to get all the results. By default `limit` is set to 10. I think we should set `limit... | CS-SI/eodag | diff --git a/tests/units/test_core.py b/tests/units/test_core.py
index 221f70bc..4bde0171 100644
--- a/tests/units/test_core.py
+++ b/tests/units/test_core.py
@@ -520,6 +520,19 @@ class TestCoreSearch(unittest.TestCase):
with self.assertRaises(NoMatchingProductType):
self.dag.guess_product_type()
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 2
},
"num_modified_files": 1
} | 2.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": null,
"p... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit"
] | [
"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations",
"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations",
"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex"
] | [
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests/units/test_core.py::TestCore::test_list_product_types_for_pr... | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-204 | ab1c1054e802d7a25980c331eb19a1c48f1ffc53 | 2021-03-24 17:30:07 | 49b15ccd7aa5b83f19fb98b8b4a0dae279c2c18c | diff --git a/CHANGES.rst b/CHANGES.rst
index 59bcdfc1..9998e581 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -1,6 +1,11 @@
Release history
---------------
+2.2.0 (2021-xx-xx)
+++++++++++++++++++
+
+- More explicit signature for ``setup_logging``, fixes `GH-197 <https://github.com/CS-SI/eodag/issues/197>`_
+
2.1.1... | Add to the search command the ability to search for all the products matching some criteria
The API will soon get a `search_all` method that will allow to collect at once all the products from a provider that match a set of criteria. The CLI should also benefit from this enhancement. I suggest that we add a `--all` opt... | CS-SI/eodag | diff --git a/tests/test_cli.py b/tests/test_cli.py
index c3c7d742..94e07cc3 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -29,6 +29,7 @@ from pkg_resources import resource_filename
from eodag.utils import GENERIC_PRODUCT_TYPE
from tests import TEST_RESOURCES_PATH
from tests.context import (
+ DEFAULT_... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 0
},
"num_modified_files": 6
} | 2.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": null,
"p... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_cli.py::TestEodagCli::test_eodag_search_all",
"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_has_no_limit"
] | [
"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher",
"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations",
"... | [
"tests/test_cli.py::TestCore::test_core_object_locations_file_not_found",
"tests/test_cli.py::TestCore::test_core_object_open_index_if_exists",
"tests/test_cli.py::TestCore::test_core_object_set_default_locations_config",
"tests/test_cli.py::TestCore::test_list_product_types_for_provider_ok",
"tests/test_cl... | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-228 | fec965f791a74dbf658e0833e1507b7ac950d09d | 2021-04-12 16:05:31 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | diff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py
index 84fc9ea9..2f0b132d 100644
--- a/eodag/plugins/download/aws.py
+++ b/eodag/plugins/download/aws.py
@@ -163,6 +163,12 @@ class AwsDownload(Download):
def download(self, product, auth=None, progress_callback=None, **kwargs):
"""... | Sentinel SAFE / non-SAFE product types distinction
All providers do not provide Sentinel products in SAFE format, which means for example that searching `S2_MSI_L1C` products on `peps` or `astraea_eod` can return products packaged differently, and differently formatted ids.
We should add more product types to be abl... | CS-SI/eodag | diff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py
index 294d0d5e..be2dee90 100644
--- a/tests/test_end_to_end.py
+++ b/tests/test_end_to_end.py
@@ -78,6 +78,13 @@ EARTH_SEARCH_SEARCH_ARGS = [
"2020-01-15",
[0.2563590566012408, 43.19555008715042, 2.379835675499976, 43.907759172380565],
]
+EARTH... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_issue_reference",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 2,
"test_score": 0
},
"num_modified_files": 4
} | 2.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search_cog",
"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok",
"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs"
] | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_mundi_default",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_e... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_earth_search",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_download_sobloo_noresult",
"tests/test_end_to_end.py::TestEODagEndToEndWrongCredentials::test_end_to_end_wrong_apikey_search_aws_eos",
"tests/test_e... | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-244 | 0632e4147f26119bea43e0672f6d06e75d216a20 | 2021-04-20 13:08:43 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 6efceb2a..1e91f5d9 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -47,6 +47,7 @@ from eodag.utils import (
_deprecated,
get_geometry_from_various,
makedirs,
+ uri_to_path,
)
from eodag.utils.exceptions import (
NoMatchingProduc... | Inconsistent filepaths returned by the download methods
`download_all` returns for instance:
```python
['/home/maxime/TRAVAIL/06_EODAG/01_eodag/eodag/docs/notebooks/api_user_guide/eodag_workspace_download/S2A_MSIL1C_20201229T110451_N0209_R094_T31TCL_20201229T131620/S2A_MSIL1C_20201229T110451_N0209_R094_T31TCL_2020122... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index 96807bc8..df74276a 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -44,7 +44,13 @@ from eodag.plugins.manager import PluginManager
from eodag.plugins.search.base import Search
from eodag.rest import server as eodag_http_server
from eodag.rest.utils impor... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 1,
"test_score": 0
},
"num_modified_files": 10
} | 2.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requ... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_cli.py::TestCore::test_core_object_locations_file_not_found",
"tests/test_cli.py::TestCore::test_core_object_open_index_if_exists",
"tests/test_cli.py::TestCore::test_core_object_set_default_locations_config",
"tests/test_cli.py::TestCore::test_list_product_types_for_provider_ok",
"tests/test_cl... | [
"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher",
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo",
"tests/test_end_to_end.py::T... | [] | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-248 | 0632e4147f26119bea43e0672f6d06e75d216a20 | 2021-04-21 08:52:52 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 6efceb2a..556d03c9 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -47,6 +47,7 @@ from eodag.utils import (
_deprecated,
get_geometry_from_various,
makedirs,
+ uri_to_path,
)
from eodag.utils.exceptions import (
NoMatchingProduc... | Kwargs passed to guess a product type are propagated
A search made with the following criteria guesses that it should use the product type `S2_MSI_L1C`:
```python
from eodag import EODataAccessGateway
dag = EODataAccessGateway()
dag.set_preferred_provider("peps")
search_criteria = {
'start': '2021-03-01',
'e... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index 96807bc8..df74276a 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -44,7 +44,13 @@ from eodag.plugins.manager import PluginManager
from eodag.plugins.search.base import Search
from eodag.rest import server as eodag_http_server
from eodag.rest.utils impor... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 2
},
"num... | 2.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist",
"pytest"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requ... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_cli.py::TestCore::test_core_object_locations_file_not_found",
"tests/test_cli.py::TestCore::test_core_object_open_index_if_exists",
"tests/test_cli.py::TestCore::test_core_object_set_default_locations_config",
"tests/test_cli.py::TestCore::test_list_product_types_for_provider_ok",
"tests/test_cl... | [
"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher",
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo",
"tests/test_end_to_end.py::T... | [] | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-249 | 84aac9405cd346a366e7499d043e1e6959a66f30 | 2021-04-21 09:39:18 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | diff --git a/eodag/plugins/download/base.py b/eodag/plugins/download/base.py
index bfcb8ac1..46632f7d 100644
--- a/eodag/plugins/download/base.py
+++ b/eodag/plugins/download/base.py
@@ -199,7 +199,7 @@ class Download(PluginTopic):
"""
extract = kwargs.pop("extract", None)
extract = (
- ... | Default behaviour for extracting products
I've just used `eodag-sentinelsat` and was surprised to see I had to set the `extract` parameter to a value (True or False). Before that, I never set this value and it seems to me that products were always extracted.
Currently in providers.yml:
* usgs: true
* aws_eos: (irr... | CS-SI/eodag | diff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py
index 0faf7704..29da9d2c 100644
--- a/tests/units/test_eoproduct.py
+++ b/tests/units/test_eoproduct.py
@@ -283,29 +283,36 @@ class TestEOProduct(EODagTestCase):
downloader = HTTPDownload(provider=self.provider, config=dl_config)
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 2,
"test_score": 3
},
"num_modified_files": 2
} | 2.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requirements/base.txt"
],
"test_cmd": ... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default"
] | [
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none"
] | [
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type",
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options",
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_extract",
"tests/units/test_eoproduc... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-249 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-249 | |
CS-SI__eodag-253 | 0632e4147f26119bea43e0672f6d06e75d216a20 | 2021-04-21 15:44:30 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 6efceb2a..556d03c9 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -47,6 +47,7 @@ from eodag.utils import (
_deprecated,
get_geometry_from_various,
makedirs,
+ uri_to_path,
)
from eodag.utils.exceptions import (
NoMatchingProduc... | download_all removes the products contained by the passed SearchResult
The items of a `SearchResult` (it could also just be a list of `EOProduct`) passed to `download_all` can get cleared by the method. I observed this behaviour with downloading products from *peps*. If it is the intended behaviour, it should be well d... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index 96807bc8..df74276a 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -44,7 +44,13 @@ from eodag.plugins.manager import PluginManager
from eodag.plugins.search.base import Search
from eodag.rest import server as eodag_http_server
from eodag.rest.utils impor... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 2
},
"num_modified_files": 10
} | 2.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_cli.py::TestCore::test_core_object_locations_file_not_found",
"tests/test_cli.py::TestCore::test_core_object_open_index_if_exists",
"tests/test_cli.py::TestCore::test_core_object_set_default_locations_config",
"tests/test_cli.py::TestCore::test_list_product_types_for_provider_ok",
"tests/test_cl... | [
"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher",
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo",
"tests/test_end_to_end.py::T... | [] | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-254 | 0632e4147f26119bea43e0672f6d06e75d216a20 | 2021-04-21 15:53:45 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 6efceb2a..556d03c9 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -47,6 +47,7 @@ from eodag.utils import (
_deprecated,
get_geometry_from_various,
makedirs,
+ uri_to_path,
)
from eodag.utils.exceptions import (
NoMatchingProduc... | Error while downloading a quicklook in a directory where the product has already been downloaded and extracted
It might be an edge case but I got caught by this one.
```
Traceback (most recent call last):
File "/home/maxime/TRAVAIL/06_EODAG/01_eodag/eodag/snippet_quicklook_peps.py", line 20, in <module>
pro... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index 96807bc8..df74276a 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -44,7 +44,13 @@ from eodag.plugins.manager import PluginManager
from eodag.plugins.search.base import Search
from eodag.rest import server as eodag_http_server
from eodag.rest.utils impor... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 3,
"issue_text_score": 1,
"test_score": 3
},
"num_modified_files": 10
} | 2.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"nose",
"nose-cov",
"pandoc",
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
cov-core==1.15.0
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_cli.py::TestCore::test_core_object_locations_file_not_found",
"tests/test_cli.py::TestCore::test_core_object_open_index_if_exists",
"tests/test_cli.py::TestCore::test_core_object_set_default_locations_config",
"tests/test_cli.py::TestCore::test_list_product_types_for_provider_ok",
"tests/test_cl... | [
"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher",
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo",
"tests/test_end_to_end.py::T... | [] | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-257 | d18287d37a7deb98457d7068402218983150c7f8 | 2021-04-21 19:45:33 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 25fe07bb..8cd4814c 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -487,9 +487,13 @@ class EODataAccessGateway(object):
:param raise_errors: When an error occurs when searching, if this is set to
True, the error ... | ISO8601 formatted time fails on some providers
Time formatted using ISO8601 (`yyyy-MM-ddThh:mm:ss.SSSZ`) fails for some providers like `sobloo` or `astraea_eod`, when `yyyy-MM-ddThh:mm:ss` is ok.
Fix is needed to make both work | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index df74276a..9dcb79e6 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -29,6 +29,7 @@ from eodag.api.core import DEFAULT_ITEMS_PER_PAGE, DEFAULT_MAX_ITEMS_PER_PAGE
from eodag.api.product import EOProduct
from eodag.api.product.drivers import DRIVERS
from eod... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 0
},
"num_modified_files... | 2.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y make pandoc"
],
"python": "3.9",
"r... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_datetime_to_timestamp_milliseconds",
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_date",
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime",
"tests/units... | [] | [
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_iso_utc_datetime_from_milliseconds",
"tests/units/test_utils.py::TestUtils::test_path_to_uri",
"tests/units/test_utils.py::TestUtils::test_uri_to_path"
] | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-260 | 0632e4147f26119bea43e0672f6d06e75d216a20 | 2021-04-21 22:16:22 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 6efceb2a..92e4b6f5 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -47,6 +47,7 @@ from eodag.utils import (
_deprecated,
get_geometry_from_various,
makedirs,
+ uri_to_path,
)
from eodag.utils.exceptions import (
NoMatchingProduc... | providers chaining for search
Actually, if a productType is not available for a provider, eodag will use the first matching provider with the highest priority.
We can keep this behavior, and add the `search(providers=["theia"])` feature (see also #163 ).
- this code will still look for products in the 1st available... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index 96807bc8..df74276a 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -44,7 +44,13 @@ from eodag.plugins.manager import PluginManager
from eodag.plugins.search.base import Search
from eodag.rest import server as eodag_http_server
from eodag.rest.utils impor... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_issue_reference",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 2
},
... | 2.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio",
"pytest"
],
"pre_install": [
"apt-get update",
... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_cli.py::TestCore::test_core_object_locations_file_not_found",
"tests/test_cli.py::TestCore::test_core_object_open_index_if_exists",
"tests/test_cli.py::TestCore::test_core_object_set_default_locations_config",
"tests/test_cli.py::TestCore::test_list_product_types_for_provider_ok",
"tests/test_cl... | [
"tests/test_cli.py::TestEodagCli::test_eodag_search_bbox_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_geom_wkt_invalid",
"tests/test_cli.py::TestEodagCli::test_eodag_search_with_cruncher",
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_sobloo",
"tests/test_end_to_end.py::T... | [] | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-304 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | 2021-06-15 16:30:26 | f32b8071ac367db96ff8f9f8709f0771f9d898f2 | diff --git a/eodag/resources/providers.yml b/eodag/resources/providers.yml
index e356dd02..cd96491f 100644
--- a/eodag/resources/providers.yml
+++ b/eodag/resources/providers.yml
@@ -804,27 +804,6 @@
S2_MSI_L2A:
collection: S2ST
productType: S2MSI2A
- S3_EFR:
- productType: OL_1_EFR___
- ... | PEPS no longer supports S3
Attempting to use EODAG to download S3 data of any type from PEPs results in no search results returned as PEPS no longer supports S3 data. Confirmed directly by the PEPS help desk on 14.06.2021.
"Comme l’indique l’actualité du 15 février sur notre flux RSS (https://peps-mission.cnes.fr/f... | CS-SI/eodag | diff --git a/tests/units/test_core.py b/tests/units/test_core.py
index 17c4f06f..556277df 100644
--- a/tests/units/test_core.py
+++ b/tests/units/test_core.py
@@ -91,17 +91,17 @@ class TestCore(unittest.TestCase):
"astraea_eod",
"earth_search",
],
- "S3_ERR": ["peps", "onda", "... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 0,
"test_score": 2
},
"num_modified_files": 1
} | 2.2 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": [
"apt... | attrs==24.2.0
bleach==6.0.0
boto3==1.33.13
botocore==1.33.13
cachetools==5.5.2
certifi @ file:///croot/certifi_1671487769961/work/certifi
cffi==1.15.1
cfgv==3.3.1
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.2.7
cryptography==44.0.2
distlib==0.3.9
docutils==0.20.1
-e git+https://git... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2022.12.7=py37h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libf... | [
"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok"
] | [
"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_geometry_and_locations",
"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations",
"tests/units/test_core.py::TestCoreGeometry::test_get_geometry_from_various_only_locations_regex"
] | [
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests/units/test_core.py::TestCore::test_list_product_types_for_un... | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-367 | 3963758fc5fda86da4799a26eb64fbc610c444da | 2021-11-26 15:47:22 | d9f16f411fdf5eb6ad752f984782dd06ed882dc8 | diff --git a/docs/_static/params_mapping_extra.csv b/docs/_static/params_mapping_extra.csv
index b677c5ad..cf6647c4 100644
--- a/docs/_static/params_mapping_extra.csv
+++ b/docs/_static/params_mapping_extra.csv
@@ -10,7 +10,7 @@ herbaceousCover,,,:green:`queryable metadata`,,,,,,,,,
iceCover,,,:green:`queryable metada... | implement STAC API Query fragment
For STAC providers, STAC API Item Search has limited filtering capabilities (`collections`, `ids`, `bbox` / `intersects`, `datetime`).
However, it does not contain a formalized way to filter based on arbitrary fields in an Item. For example, there is no way to express the filter *"`... | CS-SI/eodag | diff --git a/tests/units/test_metadata_mapping.py b/tests/units/test_metadata_mapping.py
index e510ed38..fc19611f 100644
--- a/tests/units/test_metadata_mapping.py
+++ b/tests/units/test_metadata_mapping.py
@@ -17,7 +17,7 @@
# limitations under the License.
import unittest
-from tests.context import format_metadata... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 2,
"test_score": 0
},
"num_modified_files": 5
} | 2.3 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"nose",
"nose-cov",
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc make pand... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
cov-core==1.15.0
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_format_stac_extension_parameter"
] | [
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_to_bounds_lists"
] | [
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_csv_list",
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_datetime_to_timestamp_milliseconds",
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_dict_update",
"tests/units/test_metad... | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-380 | 6e6e6890a52ac8ad4d0f989f41a726b35d9cf5d8 | 2021-12-22 16:01:32 | d9f16f411fdf5eb6ad752f984782dd06ed882dc8 | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 0ce2f7fe..7d5d039b 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -17,6 +17,7 @@
# limitations under the License.
import logging
import os
+import re
import shutil
from operator import itemgetter
@@ -1055,6 +1056,31 @@ class EODataAccessGateway(... | prevent mixed results between earth_search and earth_search_cog
See #362 .
@GriffinBabe pointed out that if we omit to specify the product type when searching on `earth_search_cog`, we get also results from `earth_search` that cannot be downloaded with the wrong download plugin:
```py
from eodag import EODataAcces... | CS-SI/eodag | diff --git a/tests/integration/test_search_stac_static.py b/tests/integration/test_search_stac_static.py
index ee3483b0..71a31b4c 100644
--- a/tests/integration/test_search_stac_static.py
+++ b/tests/integration/test_search_stac_static.py
@@ -83,8 +83,8 @@ class TestSearchStacStatic(unittest.TestCase):
self.as... | {
"commit_name": "merge_commit",
"failed_lite_validators": [],
"has_test_patch": true,
"is_lite": true,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 1
},
"num_modified_files": 1
} | 2.3 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y make pandoc"
],
"python": "3.9",
"r... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_child",
"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_load_item"
] | [] | [
"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static",
"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_cloudcover",
"tests/integration/test_search_stac_static.py::TestSearchStacStatic::test_search_stac_static_by_date",
"te... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-380 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-380 | |
CS-SI__eodag-381 | df05c353836883546e47db4057123ac501e003c6 | 2021-12-22 16:19:59 | d9f16f411fdf5eb6ad752f984782dd06ed882dc8 | diff --git a/docs/api_reference/utils.rst b/docs/api_reference/utils.rst
index dec68622..315bf26f 100644
--- a/docs/api_reference/utils.rst
+++ b/docs/api_reference/utils.rst
@@ -10,9 +10,10 @@ Logging
.. automodule:: eodag.utils.logging
:members:
-Progress callback
+Callbacks
-----------------
+.. autofuncti... | download_all callback
**[Original report](https://bitbucket.org/geostorm/eodag/issue/121) by me.**
----------------------------------------
When using download_all, provide the availability to launch a callback when each individual download in finished
| CS-SI/eodag | diff --git a/tests/__init__.py b/tests/__init__.py
index e2afd291..5cf15b0d 100644
--- a/tests/__init__.py
+++ b/tests/__init__.py
@@ -16,7 +16,9 @@
# See the License for the specific language governing permissions and
# limitations under the License.
+import io
import os
+import pathlib
import random
import shu... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 0
},... | 2.3 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_deserialize_search_results",
"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_serialize_search_results",
"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_download_all_callb... | [
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none"
] | [] | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-405 | d9f16f411fdf5eb6ad752f984782dd06ed882dc8 | 2022-02-22 18:02:30 | d9f16f411fdf5eb6ad752f984782dd06ed882dc8 | diff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py
index 3202c76a..fe7d3573 100644
--- a/eodag/plugins/download/aws.py
+++ b/eodag/plugins/download/aws.py
@@ -253,11 +253,17 @@ class AwsDownload(Download):
bucket_names_and_prefixes = [self.get_bucket_name_and_prefix(product)]
... | finalize_s2_safe_product: Fails when missing manifest.safe
When downloading some products on `earth_search`, I have a problem when converting the product format to `.SAFE`:
![2022-02-22_14h48_... | CS-SI/eodag | diff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py
index 405451a8..47ced2e6 100644
--- a/tests/units/test_search_plugins.py
+++ b/tests/units/test_search_plugins.py
@@ -297,3 +297,50 @@ class TestSearchPluginODataV4Search(BaseSearchPluginTest):
self.assertEqual(estimate, self.... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_media",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 3
},
"num_modified_f... | 2.3 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio"
],
"pre_install": [
"apt-get update",
"apt-get i... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
-e git+https://github.com/CS-SI/... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch"
] | [] | [
"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo",
"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo",
"tests/units/test_search_plugins.py::Te... | [] | Apache License 2.0 | null | null | |
CS-SI__eodag-458 | 909354f089a3e08e810a194a10ce54858b26e6f6 | 2022-05-16 11:32:46 | be026c211b2ef28ceb8b13437a8eceaf4245689b | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 11m 23s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") +49s
252 tests ±0 250 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-actio... | diff --git a/docs/api_reference/searchresult.rst b/docs/api_reference/searchresult.rst
index cb845cfe..7957cf0b 100644
--- a/docs/api_reference/searchresult.rst
+++ b/docs/api_reference/searchresult.rst
@@ -22,6 +22,7 @@ Crunch
SearchResult.filter_latest_by_name
SearchResult.filter_overlap
SearchResult.filt... | Avoid trying to order an OFFLINE product
From @remi-braun in https://github.com/CS-SI/eodag/issues/214
> Maybe add the LTA order as a parameter, as it is not needed in every usecase (sometimes, sb just want to download everything he can without triggering any LTA retrieval)
LTA: Long Term Archive
The `HTTPDown... | CS-SI/eodag | diff --git a/tests/units/test_search_result.py b/tests/units/test_search_result.py
index 608cd86f..e85e3233 100644
--- a/tests/units/test_search_result.py
+++ b/tests/units/test_search_result.py
@@ -22,13 +22,34 @@ from collections import UserList
import geojson
from shapely.geometry.collection import GeometryCollect... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 0,
"test_score": 2
},
"num_modified_files": 3
} | 2.4 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
ecmwf-api-client==1.6.5
-e git+h... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_search_result.py::TestSearchResult::test_search_result_filter_online"
] | [] | [
"tests/units/test_search_result.py::TestSearchResult::test_search_result_as_geojson_object",
"tests/units/test_search_result.py::TestSearchResult::test_search_result_as_shapely_geometry_object",
"tests/units/test_search_result.py::TestSearchResult::test_search_result_as_wkt_object",
"tests/units/test_search_r... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-480 | 54a51822ae350e54d2b7d353db377b6ff2886518 | 2022-07-05 13:23:09 | 158fac82232af978700e8f829bd5b7e227774a4c | github-actions[bot]: <strong> </strong>
| File | Coverage | |
| - | :-: | :-: |
| **All files** | `80%` | :white_check_mark: |
<strong> </strong>
| File | Coverage | |
| - | :-: | :-: |
| **All files** | `79%` | :white_check_mark: |
_Minimum allowed coverage is `70%`_
<p align="right">Generated by :monkey: cob... | diff --git a/CHANGES.rst b/CHANGES.rst
index 964bb480..5762d991 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -1,6 +1,11 @@
Release history
---------------
+2.5.2 (2022-07-05)
+++++++++++++++++++
+
+* Fixes missing ``productPath`` property for some ``earth_search`` products (:pull:`480`)
+
2.5.1 (2022-06-27)
++++... | Earth Search: Missing ProductPath in some downloaded product
Bug linked to #423.
Sorry to reopen again this issue, but I have encountered new products where it fails 😅
I am recreating a new issue to be more precise.
**Describe the bug**
Some products are missing a ProductPath in their properties, leading to f... | CS-SI/eodag | diff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py
index 636c92e3..f8e0f7d7 100644
--- a/tests/units/test_search_plugins.py
+++ b/tests/units/test_search_plugins.py
@@ -327,6 +327,13 @@ class TestSearchPluginStacSearch(BaseSearchPluginTest):
"sentinel:produ... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_issue_reference",
"has_media",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score... | 2.5 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[tutorials]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio",
"pytest"
],
"pre_install": [
"apt-get upd... | affine==2.4.0
anyio==4.9.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==3.0.0
async-lru==2.0.5
attrs==25.3.0
babel==2.17.0
beautifulsoup4==4.13.3
bleach==6.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
branca==0.8.1
certifi==2025.1.31
cffi==1.17.1
charset-normalizer==3.4.1
click==8.1.8... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_search_plugins.py::TestSearchPluginStacSearch::test_plugins_search_stacsearch_mapping_earthsearch"
] | [] | [
"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo",
"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_no_count_and_search_sobloo",
"tests/units/test_search_plugins.py::Te... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-480 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-480 |
CS-SI__eodag-490 | 0a782d7f476a993170f7d60c006be09b4cfa2b47 | 2022-07-26 13:06:01 | 158fac82232af978700e8f829bd5b7e227774a4c | github-actions[bot]: ## Unit Test Results
1 files - 1 1 suites - 1 4m 47s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") - 6m 50s
268 tests + 1 265 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-te... | diff --git a/eodag/api/product/_product.py b/eodag/api/product/_product.py
index 683870ba..45162a1f 100644
--- a/eodag/api/product/_product.py
+++ b/eodag/api/product/_product.py
@@ -282,7 +282,7 @@ class EOProduct(object):
# update units as bar may have been previously used for extraction
pro... | progress bar and int id
If product id is an integer, it makes download progress bar crash:
```py
>>> from eodag import EODataAccessGateway ... | CS-SI/eodag | diff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py
index 7829c168..045edf0d 100644
--- a/tests/units/test_eoproduct.py
+++ b/tests/units/test_eoproduct.py
@@ -34,6 +34,7 @@ from tests.context import (
EOProduct,
HTTPDownload,
NoDriver,
+ ProgressCallback,
config,
)
from ... | {
"commit_name": "merge_commit",
"failed_lite_validators": [],
"has_test_patch": true,
"is_lite": true,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 0,
"test_score": 0
},
"num_modified_files": 1
} | 2.5 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[tutorials]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist"
],
"pre_install": [
"apt-get update",
"apt-get install ... | affine==2.4.0
anyio==4.9.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==3.0.0
async-lru==2.0.5
attrs==25.3.0
babel==2.17.0
beautifulsoup4==4.13.3
bleach==6.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
branca==0.8.1
certifi==2025.1.31
cffi==1.17.1
charset-normalizer==3.4.1
click==8.1.8... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_progress_bar"
] | [
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type",
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_search_intersection_none"
] | [
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default",
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_delete_archive",
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_dynamic_options",
"tests/units/test_eoproduct.py::TestE... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-490 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-490 |
CS-SI__eodag-508 | b57fc768c1a08e1e255b8fa44b3785255bc8ca23 | 2022-09-16 17:00:19 | 158fac82232af978700e8f829bd5b7e227774a4c | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 7m 14s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") -42s
285 tests +3 282 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action... | diff --git a/eodag/plugins/apis/usgs.py b/eodag/plugins/apis/usgs.py
index 5a7162bd..ecf1b113 100644
--- a/eodag/plugins/apis/usgs.py
+++ b/eodag/plugins/apis/usgs.py
@@ -19,6 +19,7 @@ import copy
import logging
import shutil
import tarfile
+import zipfile
import requests
from jsonpath_ng.ext import parse
@@ -35... | Add S2_MSI_L1C productType to the USGS provider
When trying to download Sentinel2 images using the USGS provider, the "S2_MSI_L1C" product type is not recognized, even though it is available using the earth explorer website.
It would be great to add this one (and more precisely in my case I'd like that because I onl... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index cb294dfd..1428ddf0 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -52,7 +52,11 @@ from eodag.plugins.crunch.filter_latest_tpl_name import FilterLatestByName
from eodag.plugins.crunch.filter_property import FilterProperty
from eodag.plugins.crunch.filter_... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 3,
"issue_text_score": 1,
"test_score": 3
},
"num_modified_files": 4
} | 2.5 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
"reqs_path... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
distlib==0.3.9
docutils==0.21.2
ecmwf-api-client==1.6.5
-e git+h... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_authenticate",
"tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_download",
"tests/units/test_apis_plugins.py::TestApisPluginUsgsApi::test_plugins_apis_usgs_query"
] | [] | [
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_authenticate",
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download",
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download_all",
"tests/units/test_ap... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-524 | 58335e728fff5b98bd85b96fead271429773a593 | 2022-10-11 13:31:50 | 29c1474e5016cd8158c890ec5210af2062c73a49 | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 9m 44s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") +57s
295 tests +2 292 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action... | diff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py
index e27ffe9c..e5d9d2a9 100644
--- a/eodag/plugins/download/aws.py
+++ b/eodag/plugins/download/aws.py
@@ -34,7 +34,12 @@ from eodag.api.product.metadata_mapping import (
properties_from_xml,
)
from eodag.plugins.download.base import Dow... | Capella Bucket Download issue
**Bucket Issue**
Hi there, I'm trying to download Capella's Open data from
[this stac index]](https://www.stacindex.org/catalogs/capella-space-open-data#/BrVjRL9LGRjg8ipuaKLhdHr1kD4sbvyd8QTYGwbMTTtkR4fzPd4yeiApxyrQkiq/LGziSG3zruu42mUQkBqrXkRPLdBZyfQ9WBqmakLW8v6Q2jtwGXLNgDPJyeVfFR6XkZHa8... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index 1428ddf0..f23c149a 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -61,6 +61,7 @@ from eodag.plugins.download.http import HTTPDownload
from eodag.plugins.manager import PluginManager
from eodag.plugins.search.base import Search
from eodag.utils import (
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_media",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 2,
"test_score": 2
},
"num_modified_f... | 2.6 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": [
"apt... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
docutils==0.21.2
ecmw... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance",
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing",
"tests/units/test_download_plugins.py::TestDownloadPluginBase::te... | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"
] | [] | [] | Apache License 2.0 | null | null |
CS-SI__eodag-545 | 837c127b5068fd87a99b875206b95d44e48fdb50 | 2022-11-03 16:32:25 | 29c1474e5016cd8158c890ec5210af2062c73a49 | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 9m 47s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") + 1m 42s
300 tests +1 297 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-ac... | diff --git a/eodag/api/core.py b/eodag/api/core.py
index cd5d696b..a88a3212 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -1708,7 +1708,7 @@ class EODataAccessGateway(object):
If the metadata mapping for ``downloadLink`` is set to something that can be
interpreted as a link on a
l... | accepts all file URI formats
EODAG should support `file:/path/to/file` formatting the same way it already supports `file:///path/to/file`.
See https://datatracker.ietf.org/doc/html/rfc8089#appendix-B | CS-SI/eodag | diff --git a/tests/units/test_core.py b/tests/units/test_core.py
index f3514a29..c109a695 100644
--- a/tests/units/test_core.py
+++ b/tests/units/test_core.py
@@ -1498,3 +1498,34 @@ class TestCoreSearch(TestCoreBase):
dag.set_preferred_provider("dummy_provider")
dag.search_all(productType="S2_MSI_L1C"... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_hyperlinks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 0,
"test_score": 0
},
"num_modified_files": ... | 2.6 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
docutils==0.21.2
ecmw... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCoreDownload::test_download_local_product"
] | [] | [
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests/units/test_core.py::TestCore::test_discover_product_types",
... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-554 | 12e3cdc83bb46a2384b2821e28833b0fdb15c799 | 2022-11-16 10:38:04 | 29c1474e5016cd8158c890ec5210af2062c73a49 | github-actions[bot]: <strong></strong>
| File | Coverage | |
| - | :-: | :-: |
| **All files** | `84%` | :white_check_mark: |
| eodag/plugins/search/qssearch.py | `76%` | :white_check_mark: |
| tests/units/test\_core.py | `98%` | :white_check_mark: |
_Minimum allowed coverage is `70%`_
<p align="right">Generated b... | diff --git a/eodag/plugins/search/qssearch.py b/eodag/plugins/search/qssearch.py
index f349b760..a9625b53 100644
--- a/eodag/plugins/search/qssearch.py
+++ b/eodag/plugins/search/qssearch.py
@@ -597,8 +597,7 @@ class QueryStringSearch(Search):
"instance:".format(self.provider, self.__class__.__name... | Connection timeout bug in search API
**Describe the bug**
No result from provider 'creodias' due to an error during the search.
`urllib3.exceptions.ConnectTimeoutError: (<urllib3.connection.HTTPSConnection object at 0x7f0614fa07f0>, 'Connection to finder.creodias.eu timed out. (connect timeout=5)')`
Timeout er... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index f23c149a..47f4b0f7 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -82,6 +82,7 @@ from eodag.utils.exceptions import (
NoMatchingProductType,
NotAvailableError,
PluginImplementationError,
+ RequestError,
UnsupportedDatasetAddressSchem... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_issue_reference"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 2
},
"num_modified_files": 1
} | 2.6 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[tutorials]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-mock"
],
"pre_install": [
"apt-get update",
"apt-get install -... | affine==2.4.0
anyio==4.9.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==3.0.0
async-lru==2.0.5
attrs==25.3.0
babel==2.17.0
beautifulsoup4==4.13.3
bleach==6.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
branca==0.8.1
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cftime==1.6.4.post1
char... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCoreSearch::test_search_all_request_error"
] | [] | [
"tests/units/test_core.py::TestCore::test_build_index_ko",
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-566 | 9af685574aa465456bca01f245b830b324db2c5c | 2022-12-01 17:01:11 | 6fee322d19ecc2805f7ab44139b3c555b8cad40f | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 10m 24s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") - 2m 9s
325 tests +1 322 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-ac... | diff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py
index 58fe8a89..9b9b66ba 100644
--- a/eodag/plugins/download/http.py
+++ b/eodag/plugins/download/http.py
@@ -252,6 +252,9 @@ class HTTPDownload(Download):
assets_urls = [
a["href"] for a in getattr(product, "assets", {})... | http asset filesize using GET method
Following #542, in `HTTPDownload` try getting asset filesize from header while downloading with GET method if the filesize could not be obtained with HEAD method (`total_size == 0`). Implement something like:
```py
if total_size == 0:
asset_size = parse_header(asset_content_d... | CS-SI/eodag | diff --git a/tests/units/test_download_plugins.py b/tests/units/test_download_plugins.py
index d31a976b..f37a1b01 100644
--- a/tests/units/test_download_plugins.py
+++ b/tests/units/test_download_plugins.py
@@ -239,6 +239,73 @@ class TestDownloadPluginHttp(BaseDownloadPluginTest):
)
)
+ @mock... | {
"commit_name": "merge_commit",
"failed_lite_validators": [],
"has_test_patch": true,
"is_lite": true,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 0,
"test_score": 0
},
"num_modified_files": 1
} | 2.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": [
"apt... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
docutils==0.21.2
ecmw... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_assets_size"
] | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"
] | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance",
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing",
"tests/units/test_download_plugins.py::TestDownloadPluginBase::te... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-576 | 73e95cb6407329faf860cb775e1dd61838e6a2c4 | 2022-12-09 16:26:20 | 6fee322d19ecc2805f7ab44139b3c555b8cad40f | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 9m 54s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") -5s
328 tests +2 325 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action/... | diff --git a/eodag/plugins/download/aws.py b/eodag/plugins/download/aws.py
index e5d9d2a9..8c28dcce 100644
--- a/eodag/plugins/download/aws.py
+++ b/eodag/plugins/download/aws.py
@@ -19,7 +19,6 @@
import logging
import os
import re
-import shutil
from pathlib import Path
import boto3
@@ -36,6 +35,7 @@ from eodag... | NITF files are not downloaded
**Describe the bug**
I don't know if its intended, but some STAC catalog have.... .ntf files 🙄, and eodag doesn't download them
For example, all [SICD Capella products](https://www.stacindex.org/catalogs/capella-space-open-data#/item/2fCZzY4MUXqhFCKQyCHq5xs9yKEtav6SUMVtn8XotXoG3UL99iGK... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index dd8a54a7..dec2c197 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -73,6 +73,7 @@ from eodag.utils import (
parse_qsl,
urlsplit,
GENERIC_PRODUCT_TYPE,
+ flatten_top_directories,
)
from eodag.utils.exceptions import (
AddressNotFound... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_media",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 0
},
"num_modified_f... | 2.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio",
"pytest"
],
"pre_install": [
"apt-get update",
... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
docutils==0.21.2
ecmw... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_utils.py::TestUtils::test_downloaded_callback",
"tests/units/test_utils.py::TestUtils::test_flatten_top_dirs",
"tests/units/test_utils.py::TestUtils::test_flatten_top_dirs_given_subdir",
"tests/units/test_utils.py::TestUtils::test_get_bucket_name_and_prefix",
"tests/units/test_utils.py::Te... | [] | [] | [] | Apache License 2.0 | null | null |
CS-SI__eodag-586 | 3465afe00a492e73bfd517f19c409ba21196f85f | 2022-12-20 10:39:22 | 6fee322d19ecc2805f7ab44139b3c555b8cad40f | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 11m 15s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") -17s
331 tests +3 329 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-actio... | diff --git a/eodag/api/product/_product.py b/eodag/api/product/_product.py
index 777b3026..a0a3d78c 100644
--- a/eodag/api/product/_product.py
+++ b/eodag/api/product/_product.py
@@ -221,15 +221,30 @@ class EOProduct(object):
"""
self.downloader = downloader
self.downloader_auth = authenticat... | percent variables parsing error in product location
If product location contains some percent variables, it may conflict with `register_downloader()` internal parsing mechanism and raise:
```
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/eodag/api/core.py", line 1474, in _do_searc... | CS-SI/eodag | diff --git a/tests/units/test_eoproduct.py b/tests/units/test_eoproduct.py
index ed716125..81bdd00f 100644
--- a/tests/units/test_eoproduct.py
+++ b/tests/units/test_eoproduct.py
@@ -453,3 +453,84 @@ class TestEOProduct(EODagTestCase):
# progress bar finished
self.assertEqual(progress_callback.n, prog... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 0
},
"num_modified_files": 1
} | 2.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio",
"pytest"
],
"pre_install": [
"apt-get update",
... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
docutils==0.21.2
ecmw... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_register_downloader_resolve_ignored"
] | [] | [
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_default_driver_unsupported_product_type",
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_default",
"tests/units/test_eoproduct.py::TestEOProduct::test_eoproduct_download_http_delete_archive",
"tests/units/test_eoproduct... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-588 | c91cba779c1913985640b99e2c019c9c000bb4a0 | 2022-12-20 15:07:48 | 6fee322d19ecc2805f7ab44139b3c555b8cad40f | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 10m 32s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") - 1m 38s
332 tests +1 329 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-a... | diff --git a/eodag/plugins/authentication/header.py b/eodag/plugins/authentication/header.py
index 48d27cf9..0913296d 100644
--- a/eodag/plugins/authentication/header.py
+++ b/eodag/plugins/authentication/header.py
@@ -22,7 +22,7 @@ from eodag.plugins.authentication import Authentication
class HTTPHeaderAuth(Authe... | TokenAuth should raise AuthenticationError
In `TokenAuth`, catch `RequestException` the same way as it was done for https://github.com/CS-SI/eodag/pull/555 and redirect to an `AuthenticationError` | CS-SI/eodag | diff --git a/tests/units/test_auth_plugins.py b/tests/units/test_auth_plugins.py
index a1ad599b..60c093b1 100644
--- a/tests/units/test_auth_plugins.py
+++ b/tests/units/test_auth_plugins.py
@@ -20,9 +20,10 @@ import unittest
from unittest import mock
from requests.auth import AuthBase
+from requests.exceptions imp... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 1,
"test_score": ... | 2.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[tutorials]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio"
],
"pre_install": null,
"python": "3.9",
"reqs... | affine==2.4.0
anyio==4.9.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==3.0.0
async-lru==2.0.5
attrs==25.3.0
babel==2.17.0
beautifulsoup4==4.13.3
bleach==6.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
branca==0.8.1
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cftime==1.6.4.post1
char... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_request_error"
] | [] | [
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_json_token_authenticate",
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_text_token_authenticate",
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokena... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-588 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-588 |
CS-SI__eodag-592 | 870580e4565e533838a1b3c1b2acd2edd335de11 | 2022-12-22 15:41:21 | 6fee322d19ecc2805f7ab44139b3c555b8cad40f | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 11m 46s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") + 2m 0s
333 tests +1 330 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-ac... | diff --git a/eodag/api/product/metadata_mapping.py b/eodag/api/product/metadata_mapping.py
index e449a643..3f014290 100644
--- a/eodag/api/product/metadata_mapping.py
+++ b/eodag/api/product/metadata_mapping.py
@@ -302,7 +302,10 @@ def format_metadata(search_param, *args, **kwargs):
@staticmethod
de... | Add keywords to discovered product types
Automatically add default keywords to discovered product types to help finding them using [guess_product_type()](https://eodag.readthedocs.io/en/stable/api_reference/core.html#eodag.api.core.EODataAccessGateway.guess_product_type).
See also [Guess a product type documentation]... | CS-SI/eodag | diff --git a/tests/units/test_search_plugins.py b/tests/units/test_search_plugins.py
index ca6c2456..b25b7ea7 100644
--- a/tests/units/test_search_plugins.py
+++ b/tests/units/test_search_plugins.py
@@ -187,6 +187,50 @@ class TestSearchPluginQueryStringSearch(BaseSearchPluginTest):
"The FOO collection",
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 3
},... | 2.7 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio",
"pytest"
],
"pre_install": [
"apt-get update",
... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
docutils==0.21.2
ecmw... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types_keywords"
] | [] | [
"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_count_and_search_sobloo",
"tests/units/test_search_plugins.py::TestSearchPluginQueryStringSearch::test_plugins_search_querystringseach_discover_product_types",
"tests/units/test_search_plugins.py::TestSe... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-616 | 4a0d68987de913040e0ba16f9fe1d00cd10fe6e5 | 2023-01-24 16:32:13 | 216edc2a7e22676ecfcbc77b71795fc319cb3dc4 | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 14m 36s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") + 2m 4s
350 tests ±0 347 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-ac... | diff --git a/docs/_static/params_mapping_opensearch.csv b/docs/_static/params_mapping_opensearch.csv
index 3e98c49f..053fe5dc 100644
--- a/docs/_static/params_mapping_opensearch.csv
+++ b/docs/_static/params_mapping_opensearch.csv
@@ -8,7 +8,7 @@ antennaLookDirection,,,,,,,,,metadata only,,,,metadata only,
archivingCe... | onda search optimize with expand=Metadata
Avoid per-product metadata query using https://catalogue.onda-dias.eu/dias-catalogue/Products?$expand=Metadata link documented in
https://www.onda-dias.eu/cms/knowledge-base/odata-querying-products-showing-all-metadata-together-with-their-properties/.
Use a new `ODataV4Sea... | CS-SI/eodag | diff --git a/tests/context.py b/tests/context.py
index dec2c197..2ca8dd32 100644
--- a/tests/context.py
+++ b/tests/context.py
@@ -33,6 +33,8 @@ from eodag.api.product.metadata_mapping import (
format_metadata,
OFFLINE_STATUS,
ONLINE_STATUS,
+ properties_from_json,
+ NOT_AVAILABLE,
)
from eodag.a... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 3,
"issue_text_score": 2,
"test_score": 1
},... | 2.8 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio"
],
"pre_install": [
"apt-get update",
"apt-get i... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
docutils==0.21.2
ecmw... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_properties_from_json_discovery_config",
"tests/units/test_search_plugins.py::TestSearchPluginODataV4Search::test_plugins_search_odatav4search_count_and_search_onda"
] | [] | [
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_csv_list",
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_datetime_to_timestamp_milliseconds",
"tests/units/test_metadata_mapping.py::TestMetadataFormatter::test_convert_dict_update",
"tests/units/test_metad... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-616 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-616 |
CS-SI__eodag-634 | 69d24e856d04abbf44a81786b67cc26e98d43ee5 | 2023-02-07 15:52:38 | 216edc2a7e22676ecfcbc77b71795fc319cb3dc4 | github-actions[bot]: ## Unit Test Results
2 files ±0 2 suites ±0 4m 22s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") - 1m 53s
356 tests +1 353 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-ac... | diff --git a/eodag/utils/__init__.py b/eodag/utils/__init__.py
index 35841aaf..d968c733 100644
--- a/eodag/utils/__init__.py
+++ b/eodag/utils/__init__.py
@@ -1148,6 +1148,9 @@ def flatten_top_directories(nested_dir_root, common_subdirs_path=None):
subpaths_list = [p for p in Path(nested_dir_root).glob("**/*")... | flatten_top_directories on single file
The following error is raised when trying to use `flatten_top_directories()` on a directory containing a single file or when downloading a product having a single asset and the download plugin configured with `flatten_top_dirs: true`:
```
Traceback (most recent call last):
Fi... | CS-SI/eodag | diff --git a/tests/units/test_download_plugins.py b/tests/units/test_download_plugins.py
index b3514aec..e15a565b 100644
--- a/tests/units/test_download_plugins.py
+++ b/tests/units/test_download_plugins.py
@@ -487,7 +487,7 @@ class TestDownloadPluginHttpRetry(BaseDownloadPluginTest):
self.plugin.downl... | {
"commit_name": "merge_commit",
"failed_lite_validators": [],
"has_test_patch": true,
"is_lite": true,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 3
},
"num_modified_files": 1
} | 2.8 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock"
],
"pre_install": [
"apt-get update",
"apt... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
docutils==0.21.2
ecmw... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_utils.py::TestUtils::test_flatten_top_dirs_single_file"
] | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"
] | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance",
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing",
"tests/units/test_download_plugins.py::TestDownloadPluginBase::te... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-634 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-634 |
CS-SI__eodag-645 | 216edc2a7e22676ecfcbc77b71795fc319cb3dc4 | 2023-02-15 14:33:03 | 216edc2a7e22676ecfcbc77b71795fc319cb3dc4 | github-actions[bot]: ## Unit Test Results
2 files ± 0 2 suites ±0 2m 2s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v1.20/README.md#the-symbols "duration of all tests") - 3m 37s
247 tests - 112 244 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-re... | diff --git a/eodag/plugins/authentication/token.py b/eodag/plugins/authentication/token.py
index 9419f85c..75151f22 100644
--- a/eodag/plugins/authentication/token.py
+++ b/eodag/plugins/authentication/token.py
@@ -36,6 +36,11 @@ class TokenAuth(Authentication):
self.config.auth_uri = self.config.auth_uri.... | 404 error when trying to download mundi OFFLINE product
```py
from eodag import EODataAccessGateway
dag = EODataAccessGateway()
prods, _ = dag.search(productType="S2_MSI_L1C", start="2019-01-01", end="2019-02-01")
print("storageStatus: %s" % prods[0].properties["storageStatus"])
dag.download(prods[0])
```
output... | CS-SI/eodag | diff --git a/tests/units/test_auth_plugins.py b/tests/units/test_auth_plugins.py
index 99ec9a81..569e916a 100644
--- a/tests/units/test_auth_plugins.py
+++ b/tests/units/test_auth_plugins.py
@@ -73,6 +73,7 @@ class TestAuthPluginTokenAuth(BaseAuthPluginTest):
"headers": {
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_issue_reference",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
... | 2.8 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "... | attrs==25.3.0
backports.tarfile==1.2.0
blinker==1.9.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
docutils==0.21.2
ecmw... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_text_token_authenticate",
"tests/units/test_download_plugins.py::TestDownloadPluginHttp::test_plugins_download_http_order_status_search_again",
"tests/units/test_download_plugins.py::TestDownloadPluginS3Rest::test_plugins_do... | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"
] | [
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_json_token_authenticate",
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_request_error",
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_valida... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-749 | 50d6e60396cff60f6373ab64af5a0229a77e6906 | 2023-06-27 13:06:12 | 856121900f6d973eca9d2ad3c0de61bbd706ae2c | github-actions[bot]: ## Test Results
4 files ±0 4 suites ±0 4m 38s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols "duration of all tests") +32s
388 tests ±0 386 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-resul... | diff --git a/.gitignore b/.gitignore
index 6c8d9419..0e6aad37 100644
--- a/.gitignore
+++ b/.gitignore
@@ -116,3 +116,6 @@ ext_product_types.json
.project
.pydevproject
.settings/
+
+# Helm chart dependencies
+charts/**/*.tgz
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index bb0201ac..54e5e823 100... | Invalid keyword `step` in download requests for CAMS_EAC4 with cop_ads
While trying to download the product type `CAMS_EAC4` with the provider `cop_ads`, the download request fails with an `Invalid key name` error for the key `step`. | CS-SI/eodag | diff --git a/tests/units/test_apis_plugins.py b/tests/units/test_apis_plugins.py
index 8c4c6d3c..496db0ce 100644
--- a/tests/units/test_apis_plugins.py
+++ b/tests/units/test_apis_plugins.py
@@ -640,7 +640,6 @@ class TestApisPluginCdsApi(BaseApisPluginTest):
"stream": "oper",
"class": "mc",
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_added_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 1,
"test_score": 0
}... | 2.10 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": null,
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requirements.txt"
],
"test_cmd": "pytest --no-header... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_api_plugin"
] | [] | [
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_authenticate",
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download",
"tests/units/test_apis_plugins.py::TestApisPluginEcmwfApi::test_plugins_apis_ecmwf_download_all",
"tests/units/test_ap... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-751 | 92a537f7811a06f336712de6b8c07a9b80cf6de6 | 2023-06-27 16:20:06 | 856121900f6d973eca9d2ad3c0de61bbd706ae2c | github-actions[bot]: ## Test Results
4 files ±0 4 suites ±0 4m 0s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols "duration of all tests") -6s
388 tests ±0 386 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-... | diff --git a/eodag/rest/utils.py b/eodag/rest/utils.py
index de5d168a..e9955275 100644
--- a/eodag/rest/utils.py
+++ b/eodag/rest/utils.py
@@ -589,8 +589,6 @@ def download_stac_item_by_id(catalogs, item_id, provider=None):
product = search_product_by_id(item_id, product_type=catalogs[0])[0]
- eodag_api.prov... | Impossible to download data with providers using api plugin in REST mode
In REST mode, when a provider does not get the download plugin, data download fails with the following error :
`AttributeError: 'ProviderConfig' object has no attribute 'download'`
| CS-SI/eodag | diff --git a/tests/units/test_http_server.py b/tests/units/test_http_server.py
index 72f97057..f302ef06 100644
--- a/tests/units/test_http_server.py
+++ b/tests/units/test_http_server.py
@@ -627,7 +627,7 @@ class RequestTestCase(unittest.TestCase):
"eodag.rest.utils.eodag_api.download",
autospec=True,... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": 3
},
"num_modified_files": 1
} | 2.10 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio"
],
"pre_install": null,
"python": "3.9",
"reqs_path"... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_http_server.py::RequestTestCase::test_download_item_from_collection_api_plugin"
] | [] | [
"tests/units/test_http_server.py::RequestTestCase::test_auth_error",
"tests/units/test_http_server.py::RequestTestCase::test_catalog_browse",
"tests/units/test_http_server.py::RequestTestCase::test_cloud_cover_post_search",
"tests/units/test_http_server.py::RequestTestCase::test_collection",
"tests/units/te... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-756 | c38d36ec0be2c490d04060030c10726ecf327972 | 2023-07-04 12:56:02 | 856121900f6d973eca9d2ad3c0de61bbd706ae2c | github-actions[bot]: ## Test Results
4 files ±0 4 suites ±0 4m 12s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols "duration of all tests") +5s
388 tests ±0 386 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result... | diff --git a/docker/stac-server.dockerfile b/docker/stac-server.dockerfile
index 543e1ea8..f7fb4b6c 100644
--- a/docker/stac-server.dockerfile
+++ b/docker/stac-server.dockerfile
@@ -65,7 +65,7 @@ RUN chmod +x /eodag/run-stac-server.sh
# add user
RUN addgroup --system user \
- && adduser --system --group user
+ ... | better document how to guess a product type
see https://github.com/CS-SI/eodag/issues/242#issuecomment-877068032
- [x] Add more examples showing how to guess the product type in https://eodag.readthedocs.io/en/latest/notebooks/api_user_guide/4_search.html#Guess-a-product-type
- [x] Link the `guess_product_type()` met... | CS-SI/eodag | diff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py
index d86f2cd2..2793adb1 100644
--- a/tests/test_end_to_end.py
+++ b/tests/test_end_to_end.py
@@ -423,6 +423,9 @@ class TestEODagEndToEnd(EndToEndBase):
def test_end_to_end_search_download_creodias(self):
product = self.execute_search(*CRE... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": -1,
"issue_text_score": 1,
"test_score": -1
},
"n... | 2.10 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": null,
"p... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate",
"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_header",
"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAu... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_creodias",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_astraea_eod",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate",
"tests/test_end_to_end.py::TestEODagEndT... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_creodias",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_earth_search",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_earth_search_cog",
"tests/tes... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-757 | c38d36ec0be2c490d04060030c10726ecf327972 | 2023-07-06 13:19:07 | 856121900f6d973eca9d2ad3c0de61bbd706ae2c | github-actions[bot]: ## Test Results
4 files ±0 4 suites ±0 4m 33s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols "duration of all tests") +26s
388 tests ±0 386 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-resul... | diff --git a/docker/stac-server.dockerfile b/docker/stac-server.dockerfile
index 543e1ea8..f7fb4b6c 100644
--- a/docker/stac-server.dockerfile
+++ b/docker/stac-server.dockerfile
@@ -65,7 +65,7 @@ RUN chmod +x /eodag/run-stac-server.sh
# add user
RUN addgroup --system user \
- && adduser --system --group user
+ ... | downloadLink usage for STAC providers
Implement a way to use `downloadLink` if specified, to dowload a product coming from a STAC provider
- [ ] remove or set `downloadLink` to `None` by default on STAC providers
- [ ] if `downloadLink` exists, first try using it before downloading all assets
`ignore_assets` can... | CS-SI/eodag | diff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py
index d86f2cd2..2793adb1 100644
--- a/tests/test_end_to_end.py
+++ b/tests/test_end_to_end.py
@@ -423,6 +423,9 @@ class TestEODagEndToEnd(EndToEndBase):
def test_end_to_end_search_download_creodias(self):
product = self.execute_search(*CRE... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 1,
"test_score": 3
},
"num_modified_files": 10
} | 2.10 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"sphinx",
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9"... | alabaster==0.7.16
annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
babel==2.17.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate",
"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_header",
"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAu... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_creodias",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_astraea_eod",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate",
"tests/test_end_to_end.py::TestEODagEndT... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_creodias",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_earth_search",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_earth_search_cog",
"tests/tes... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-763 | c38d36ec0be2c490d04060030c10726ecf327972 | 2023-07-13 16:08:46 | 856121900f6d973eca9d2ad3c0de61bbd706ae2c | github-actions[bot]: ## Test Results
1 files - 3 1 suites - 3 1m 10s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.8.0/README.md#the-symbols "duration of all tests") - 3m 10s
392 tests + 4 107 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-... | diff --git a/docs/getting_started_guide/configure.rst b/docs/getting_started_guide/configure.rst
index 7c2b22ad..2193594a 100644
--- a/docs/getting_started_guide/configure.rst
+++ b/docs/getting_started_guide/configure.rst
@@ -246,3 +246,62 @@ Or with the CLI:
-p S2_MSI_L1C \
--storage... | [URGENT] Unable to download products from CreoDIAS due to authentification change
**Describe the bug**
When searching for Sentinel-1 GRD products with CreoDIAS as a provider, the `download` command returns an error.
It seems than CreoDIAS has recently updated their website (see new website "[CreoDIAS 2.0](https://c... | CS-SI/eodag | diff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py
index d86f2cd2..2793adb1 100644
--- a/tests/test_end_to_end.py
+++ b/tests/test_end_to_end.py
@@ -423,6 +423,9 @@ class TestEODagEndToEnd(EndToEndBase):
def test_end_to_end_search_download_creodias(self):
product = self.execute_search(*CRE... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 2
},
"num... | 2.10 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"sphinx",
"pytest"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9"... | alabaster==0.7.16
annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
babel==2.17.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate",
"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAuth::test_plugins_auth_keycloak_authenticate_header",
"tests/units/test_auth_plugins.py::TestAuthPluginKeycloakOIDCPasswordAu... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test__search_by_id_creodias",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_astraea_eod",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_search_all_astraea_eod_iterate",
"tests/test_end_to_end.py::TestEODagEndT... | [
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_creodias",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_earth_search",
"tests/test_end_to_end.py::TestEODagEndToEnd::test_end_to_end_discover_product_types_earth_search_cog",
"tests/tes... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-790 | 9acf017451f71c5488011f3add086a9936cfffc8 | 2023-08-22 14:16:26 | 49209ff081784ca7d31121899ce1eb8eda7d294c | github-actions[bot]: ## Test Results
4 files ±0 4 suites ±0 5m 6s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols "duration of all tests") -40s
402 tests +1 400 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result... | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 0d589122..9b394f4a 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -832,6 +832,7 @@ class EODataAccessGateway(object):
end=None,
geom=None,
locations=None,
+ provider=None,
**kwargs,
):
"""Look fo... | [eodag-server] setting provider parameter in a request, default this provider as preferred for future requests
**Describe the bug**
A clear and concise description of what the bug is.
You first request a product type from a specific provider to EODAG Server.
This provider is set as the preferred one for all future... | CS-SI/eodag | diff --git a/tests/integration/test_core_search_results.py b/tests/integration/test_core_search_results.py
index 8d94a465..1fff5fe7 100644
--- a/tests/integration/test_core_search_results.py
+++ b/tests/integration/test_core_search_results.py
@@ -264,3 +264,23 @@ class TestCoreSearchResults(EODagTestCase):
for... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 2
},
"num... | 2.11 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"tox"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_search_with_provider",
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_json_token_authenticate",
"tests/units/test_auth_plugins.py::TestAuthPluginTokenAuth::test_plugins_auth_tokenauth_text_t... | [
"tests/units/test_stac_utils.py::TestStacUtils::test_get_arguments_query_paths",
"tests/units/test_stac_utils.py::TestStacUtils::test_get_metadata_query_paths"
] | [
"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_deserialize_search_results",
"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_search_results_registered",
"tests/integration/test_core_search_results.py::TestCoreSearchResults::test_core_serialize_se... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-795 | 2eb52b8300e3859712c74412a97d15181865ce97 | 2023-08-25 08:21:36 | 49209ff081784ca7d31121899ce1eb8eda7d294c | github-actions[bot]: ## Test Results
2 files - 2 2 suites - 2 2m 28s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.9.0/README.md#the-symbols "duration of all tests") - 3m 1s
406 tests + 3 348 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-re... | diff --git a/eodag/rest/server.py b/eodag/rest/server.py
index 57cc4381..541da3a8 100755
--- a/eodag/rest/server.py
+++ b/eodag/rest/server.py
@@ -18,11 +18,12 @@
import io
import logging
import os
+import re
import traceback
from contextlib import asynccontextmanager
from distutils import dist
from json.decoder... | server mode queryables
Add queryables, available through `/queryables` and `/collections/<PRODUCT_TYPE>/queryables`.
See https://github.com/radiantearth/stac-api-spec/blob/master/fragments/filter/README.md#queryables for documentation and https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-2-l2a... | CS-SI/eodag | diff --git a/tests/units/test_http_server.py b/tests/units/test_http_server.py
index 9a144cd8..8cfe0926 100644
--- a/tests/units/test_http_server.py
+++ b/tests/units/test_http_server.py
@@ -760,3 +760,18 @@ class RequestTestCase(unittest.TestCase):
response = self._request_valid("/extensions/oseo/json-schema/... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 2
},... | 2.11 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": null,
"p... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_http_server.py::RequestTestCase::test_product_type_queryables",
"tests/units/test_http_server.py::RequestTestCase::test_product_type_queryables_with_provider",
"tests/units/test_http_server.py::RequestTestCase::test_queryables"
] | [] | [
"tests/units/test_http_server.py::RequestTestCase::test_auth_error",
"tests/units/test_http_server.py::RequestTestCase::test_catalog_browse",
"tests/units/test_http_server.py::RequestTestCase::test_cloud_cover_post_search",
"tests/units/test_http_server.py::RequestTestCase::test_collection",
"tests/units/te... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-795 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-795 |
CS-SI__eodag-802 | 4b1397bfdc79b0b9be0be3fc825df40949f4acae | 2023-08-29 15:56:05 | 49209ff081784ca7d31121899ce1eb8eda7d294c | github-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>
| File | Coverage | |
| - | :-: | :-: |
| **All files** | `81%` | :white_check_mark: |
_Minimum allowed coverage is `70%`_
<p align="right">Generated by :monkey: cobertura-action against d8bb641da73773eea32741184e436b891d47b210 </p>
github-actions[bot]: ... | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 9b394f4a..bff4f2cc 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -20,6 +20,7 @@ import os
import re
import shutil
from operator import itemgetter
+from typing import List
import geojson
import pkg_resources
@@ -45,6 +46,7 @@ from eodag.config i... | prevent authentication during search preparation
Following https://github.com/CS-SI/eodag/pull/753, authentication is performed for all providers needing auth for search in `_prepare_search()`.
Only auth plugin should be passed as argument, and authentication should be performed before search for the given provider. | CS-SI/eodag | diff --git a/tests/units/test_core.py b/tests/units/test_core.py
index c3b4347e..03323865 100644
--- a/tests/units/test_core.py
+++ b/tests/units/test_core.py
@@ -1188,12 +1188,12 @@ class TestCoreSearch(TestCoreBase):
)
def test__prepare_search_no_parameters(self, mock_fetch_product_types_list):
"""... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 2,
"test_score": ... | 2.11 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
distlib==0.3.9
... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCoreSearch::test__prepare_search_dates",
"tests/units/test_core.py::TestCoreSearch::test__prepare_search_geom",
"tests/units/test_core.py::TestCoreSearch::test__prepare_search_locations",
"tests/units/test_core.py::TestCoreSearch::test__prepare_search_no_parameters",
"tests/un... | [] | [
"tests/units/test_core.py::TestCore::test_build_index_ko",
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-836 | db336ebe9e3359bc3549e546948ef59c54b632ae | 2023-09-19 13:47:39 | 49209ff081784ca7d31121899ce1eb8eda7d294c | github-actions[bot]: <strong>Code Coverage (Ubuntu)</strong>
| File | Coverage | |
| - | :-: | :-: |
| **All files** | `82%` | :white_check_mark: |
_Minimum allowed coverage is `70%`_
<p align="right">Generated by :monkey: cobertura-action against df350c69e0a7099fc741626e47753f892b4301bc </p>
github-actions[bot]: ... | diff --git a/docs/getting_started_guide/configure.rst b/docs/getting_started_guide/configure.rst
index c7814106..ac0559c5 100644
--- a/docs/getting_started_guide/configure.rst
+++ b/docs/getting_started_guide/configure.rst
@@ -20,10 +20,10 @@ for products in a provider's catalog, how to download products, etc. However,... | configure providers.yml path
Implement a way to configure where `providers.yml` is located.
- through a environment variable | CS-SI/eodag | diff --git a/tests/resources/file_providers_override.yml b/tests/resources/file_providers_override.yml
new file mode 100644
index 00000000..fd3fea75
--- /dev/null
+++ b/tests/resources/file_providers_override.yml
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+# Copyright 2023, CS GROUP - France, https://www.csgroup.eu/
+#
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 3
},
"num_modified_files... | 2.11 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio",
"pytest"
],
"pre_install": null,
"python": "3.9",... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
decorator==5.2.... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCoreConfWithEnvVar::test_core_object_prioritize_providers_file_in_envvar"
] | [] | [
"tests/units/test_core.py::TestCore::test_build_index_ko",
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-882 | 177d77120e1c5bda5c84af638bdaa49a07edf5f4 | 2023-10-13 09:00:08 | 49209ff081784ca7d31121899ce1eb8eda7d294c | github-actions[bot]: ## Test Results
1 files - 3 1 suites - 3 1m 20s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols "duration of all tests") - 4m 52s
431 tests ± 0 425 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit... | diff --git a/docs/notebooks/tutos/tuto_cop_dem.ipynb b/docs/notebooks/tutos/tuto_cop_dem.ipynb
index 6fd63b31..05f6d515 100644
--- a/docs/notebooks/tutos/tuto_cop_dem.ipynb
+++ b/docs/notebooks/tutos/tuto_cop_dem.ipynb
@@ -16,14 +16,7 @@
"outputs": [],
"source": [
"import os\n",
- "import boto3\n",
- ... | Support COP-DEM (30 / 90m) retrieval from creodias
**Is your feature request related to a problem? Please describe.**
Creodias provides the COP DEM at 30 m and 90m on the finder: https://finder.creodias.eu/resto/api/collections/CopDem/search.json?maxRecords=10&resolution=30&geometry=POLYGON((1.2779813430646272+43.6... | CS-SI/eodag | diff --git a/tests/units/test_core.py b/tests/units/test_core.py
index 430eb40c..421d2236 100644
--- a/tests/units/test_core.py
+++ b/tests/units/test_core.py
@@ -92,17 +92,50 @@ class TestCore(TestCoreBase):
"CBERS4_PAN10M_L4": ["aws_eos"],
"CBERS4_PAN5M_L2": ["aws_eos"],
"CBERS4_PAN5M_L4": ... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 1,
"test_score": 3
},
"num_modified_files": 4
} | 2.11 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requirements/base.txt"
],
"test_cmd": ... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
decorator==5.2.... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok",
"tests/units/test_core.py::TestCoreSearch::test_guess_product_type_with_kwargs"
] | [] | [
"tests/units/test_core.py::TestCore::test_build_index_ko",
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-918 | 4286d132c8500c968a82445c2e3509216c4a1e65 | 2023-11-13 13:50:05 | 0a6208a6e306461fca3f66c1653a41ffda54dfb6 | github-actions[bot]: ## Test Results
3 files + 1 3 suites +1 3m 12s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols "duration of all tests") + 1m 9s
431 tests + 1 427 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-resul... | diff --git a/eodag/plugins/download/http.py b/eodag/plugins/download/http.py
index 140f1e12..c1b03a36 100644
--- a/eodag/plugins/download/http.py
+++ b/eodag/plugins/download/http.py
@@ -130,7 +130,7 @@ class HTTPDownload(Download):
product: EOProduct,
auth: Optional[AuthBase] = None,
**kwarg... | staging status in server mode download
When downloading an OFFLINE product in server mode, use min values for `wait` and `time` and return a 202 status until product is available | CS-SI/eodag | diff --git a/tests/__init__.py b/tests/__init__.py
index 2bd14e8a..59ce5692 100644
--- a/tests/__init__.py
+++ b/tests/__init__.py
@@ -335,6 +335,7 @@ class EODagTestCase(unittest.TestCase):
response.__zip_buffer = io.BytesIO(fh.read())
cl = response.__zip_buffer.getbuffer().nbytes... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 1,
"test_score": 1
},
"num_modified_files... | 2.12 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requirements.txt"
],
"test_cmd": "pyte... | annotated-types==0.7.0
anyio==4.9.0
backports.tarfile==1.2.0
beautifulsoup4==4.13.3
boto3==1.37.23
boto3-stubs==1.37.23
botocore==1.37.23
botocore-stubs==1.37.23
cachetools==5.5.2
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptograp... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_http_server.py::RequestTestCase::test_download_offline_item_from_catalog"
] | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_dir_permission"
] | [
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_collision_avoidance",
"tests/units/test_download_plugins.py::TestDownloadPluginBase::test_plugins_download_base_prepare_download_existing",
"tests/units/test_download_plugins.py::TestDownloadPluginBase::te... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-927 | 72e7a48eba23f7debb89903f31d67555b53fcbce | 2023-11-16 13:22:12 | 49209ff081784ca7d31121899ce1eb8eda7d294c | github-actions[bot]: ## Test Results
4 files ±0 4 suites ±0 3m 32s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols "duration of all tests") -1s
431 tests +1 428 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-resul... | diff --git a/docs/_static/product_types_information.csv b/docs/_static/product_types_information.csv
index 21b10020..61464555 100644
--- a/docs/_static/product_types_information.csv
+++ b/docs/_static/product_types_information.csv
@@ -28,10 +28,10 @@ CLMS_GLO_GDMP_333M,"Gross dry matter Productivity (GDMP) is an indica... | EODataAccessGateway constructor fails on AWS Lambda
**Describe the bug**
`makedirs` [invocation](https://github.com/CS-SI/eodag/blob/develop/eodag/api/core.py#L98) within the EODataAccessGateway constructor causes `OSError: [Errno 30] Read-only file system` when run on AWS Lambda
**Code To Reproduce**
CLI comman... | CS-SI/eodag | diff --git a/tests/units/test_core.py b/tests/units/test_core.py
index f5f118c4..46fc1bed 100644
--- a/tests/units/test_core.py
+++ b/tests/units/test_core.py
@@ -22,6 +22,7 @@ import json
import logging
import os
import shutil
+import tempfile
import unittest
import uuid
from pathlib import Path
@@ -1178,6 +1179... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 0,
"test_score": 1
},
"num_modified_files": 3
} | 2.11 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov"
],
"pre_install": null,
"python": "3.9",
"reqs_path": [
"requirements.txt"
],
... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
decorator==5.2.... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCoreInvolvingConfDir::test_read_only_home_dir"
] | [] | [
"tests/units/test_core.py::TestCore::test_build_index_ko",
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-961 | 0dcc36d255600669d69fd757f7af6d20e5a4faf1 | 2023-12-13 13:17:57 | 49209ff081784ca7d31121899ce1eb8eda7d294c | github-actions[bot]: ## Test Results
2 files - 1 2 suites - 1 1m 30s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols "duration of all tests") -1s
440 tests ±0 436 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result-action... | diff --git a/eodag/rest/stac.py b/eodag/rest/stac.py
index 4114e3c5..8f84ddea 100644
--- a/eodag/rest/stac.py
+++ b/eodag/rest/stac.py
@@ -275,20 +275,28 @@ class StacItem(StacCommon):
"href"
] = f"{without_arg_url}?{urlencode(query_dict, doseq=True)}"
- # add origin a... | eodag-authenticated and origin raw assets both available in server mode
In server mode, once #721 is done, make available both eodag-authenticated and origin raw assets using https://github.com/stac-extensions/alternate-assets:
```json
{
"features": [
{
"id": "some-product",
"assets": {
"B01":... | CS-SI/eodag | diff --git a/tests/units/test_stac_utils.py b/tests/units/test_stac_utils.py
index 6b3fd0f1..7e03f4ab 100644
--- a/tests/units/test_stac_utils.py
+++ b/tests/units/test_stac_utils.py
@@ -453,10 +453,16 @@ class TestStacUtils(unittest.TestCase):
"assets"
].items():
self.assertIn(k, res... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_issue_reference"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 3,
"test_score": 0
},
"num_modified_files": 1
} | 2.11 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"tox"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
],
"python": "3.9",
... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
decorator==5.2.... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_stac_utils.py::TestStacUtils::test_search_stac_items_with_stac_providers"
] | [] | [
"tests/units/test_stac_utils.py::TestStacUtils::test_detailled_collections_list",
"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products",
"tests/units/test_stac_utils.py::TestStacUtils::test_filter_products_filter_misuse_raise_error",
"tests/units/test_stac_utils.py::TestStacUtils::test_filter_... | [] | Apache License 2.0 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-961 | swerebench/sweb.eval.x86_64.cs-si_1776_eodag-961 |
CS-SI__eodag-969 | 40fe987ec3a0644e660653a7a330dbaefca9d610 | 2023-12-20 17:10:27 | 49209ff081784ca7d31121899ce1eb8eda7d294c | github-actions[bot]: ## Test Results
4 files ±0 4 suites ±0 4m 4s [:stopwatch:](https://github.com/EnricoMi/publish-unit-test-result-action/blob/v2.11.0/README.md#the-symbols "duration of all tests") -1s
441 tests ±0 438 [:heavy_check_mark:](https://github.com/EnricoMi/publish-unit-test-result... | diff --git a/docs/_static/product_types_information.csv b/docs/_static/product_types_information.csv
index a693c35f..9762a9fc 100644
--- a/docs/_static/product_types_information.csv
+++ b/docs/_static/product_types_information.csv
@@ -79,7 +79,7 @@ S1_SAR_OCN,"Level-2 OCN products include components for Ocean Swell spe... | remove S2_MSI_L2A from peps
Remove `S2_MSI_L2A` from the product types available through `peps` | CS-SI/eodag | diff --git a/tests/units/test_core.py b/tests/units/test_core.py
index f483ba47..9b186289 100644
--- a/tests/units/test_core.py
+++ b/tests/units/test_core.py
@@ -214,7 +214,6 @@ class TestCore(TestCoreBase):
"creodias",
"earth_search",
"onda",
- "peps",
"p... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_short_problem_statement",
"has_many_modified_files"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 1,
"test_score": 0
},
"num_modified_files": 2
} | 2.11 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio"
],
"pre_install": null,
"python": "3.9",
"reqs_path"... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
decorator==5.2.... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/units/test_core.py::TestCore::test_list_product_types_for_provider_ok"
] | [] | [
"tests/units/test_core.py::TestCore::test_build_index_ko",
"tests/units/test_core.py::TestCore::test_core_object_locations_file_not_found",
"tests/units/test_core.py::TestCore::test_core_object_open_index_if_exists",
"tests/units/test_core.py::TestCore::test_core_object_set_default_locations_config",
"tests... | [] | Apache License 2.0 | null | null |
CS-SI__eodag-987 | fe2a51497fa806f856e9bbb4e3911e7c78dad17e | 2024-01-12 19:03:03 | 49209ff081784ca7d31121899ce1eb8eda7d294c | github-actions[bot]: ## Test Results
1 files - 3 1 suites - 3 18s :stopwatch: - 3m 52s
36 tests - 412 0 :white_check_mark: - 445 0 :zzz: - 3 0 :x: ±0 36 :fire: + 36
165 runs - 1 627 0 :white_check_mark: - 1 714 0 :zzz: - 78 0 :x: ±0 165 :fire: +165
For more details on these errors,... | diff --git a/eodag/api/core.py b/eodag/api/core.py
index 5bd91ddc..a7a08e78 100644
--- a/eodag/api/core.py
+++ b/eodag/api/core.py
@@ -83,6 +83,7 @@ from eodag.utils.exceptions import (
from eodag.utils.stac_reader import fetch_stac_items
if TYPE_CHECKING:
+ from pydantic.fields import FieldInfo
from shapel... | convert timeout type when loaded from environment variable
Following #973,
```py
import os
from eodag import EODataAccessGateway
os.environ["EODAG__HYDROWEB_NEXT__SEARCH__TIMEOUT"] = "10"
dag = EODataAccessGateway()
dag.search_all(productType="HYDROWEB_RIVERS")
```
raises
```
Traceback (most recent call la... | CS-SI/eodag | diff --git a/tests/test_config.py b/tests/test_config.py
index 65b302d5..e819986e 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -437,6 +437,11 @@ class TestConfigFunctions(unittest.TestCase):
"EODAG__AWS_EOS__AUTH__CREDENTIALS__AWS_SECRET_ACCESS_KEY"
] = "secret-access-key"
... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_issue_reference",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 1
},
"num_modified_files": 10
} | 2.11 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov pytest-xdist pytest-mock"
],
"pre_install": [
"apt-get update",
"apt-get install -y gcc"
... | annotated-types==0.7.0
anyio==4.9.0
attrs==25.3.0
backports.tarfile==1.2.0
boto3==1.37.23
botocore==1.37.23
cachetools==5.5.2
cdsapi==0.7.5
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
coverage==7.8.0
cryptography==44.0.2
datapi==0.3.0
decorator==5.2.... | name: eodag
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- libgcc-ng=11.... | [
"tests/test_config.py::TestConfigFunctions::test_override_config_from_env"
] | [] | [
"tests/test_config.py::TestProviderConfig::test_provider_config_merge",
"tests/test_config.py::TestProviderConfig::test_provider_config_name",
"tests/test_config.py::TestProviderConfig::test_provider_config_update",
"tests/test_config.py::TestProviderConfig::test_provider_config_valid",
"tests/test_config.p... | [] | Apache License 2.0 | null | null |
CSCfi__beacon-python-26 | 49539e81197255007a6978c102b4a7eb1cf16b9f | 2018-10-29 13:14:17 | 8e6c74787741d3025897cc6f744a13449a78041e | diff --git a/beacon_api/__init__.py b/beacon_api/__init__.py
index f20f8a5..42894f9 100644
--- a/beacon_api/__init__.py
+++ b/beacon_api/__init__.py
@@ -28,4 +28,4 @@ __org_address__ = 'empty'
__org_welcomeUrl__ = 'https://www.csc.fi/'
__org_contactUrl__ = 'empty'
__org_logoUrl__ = 'https://www.csc.fi/documents/1018... | Differentiate wildcard results
#### Proposed solution
Currently in a wildcard search it is difficult to differentiate between wildcard results, as illustrated.
The idea is to add values in the `info` key to ... | CSCfi/beacon-python | diff --git a/tests/test_data_query.py b/tests/test_data_query.py
index f87248c..a12ad10 100644
--- a/tests/test_data_query.py
+++ b/tests/test_data_query.py
@@ -13,14 +13,17 @@ class Record:
Mimic asyncpg Record object.
"""
- def __init__(self, accessType, frequency=None, createDateTime=None, updateDateT... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_media",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 0,
"issue_text_score": 1,
"test_score": 2
},
"num_modified_fi... | 1.0 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[test]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"coveralls",
"testfixtures",
"flake8",
"flake8-docstrings",
"asynctest"... | aiohttp==3.8.6
aioresponses==0.7.6
aiosignal==1.2.0
async-timeout==4.0.2
asyncpg==0.26.0
asynctest==0.13.0
attrs==22.2.0
-e git+https://github.com/CSCfi/beacon-python.git@49539e81197255007a6978c102b4a7eb1cf16b9f#egg=beacon_api
certifi==2021.5.30
cffi==1.15.1
charset-normalizer==2.0.12
click==8.0.4
coloredlogs==15.0.1
c... | name: beacon-python
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"Test"
] | [] | [] | [] | Apache License 2.0 | null | null | |
CSCfi__beacon-python-54 | 0f810a3789be6bc54614ddf17085655c106e486b | 2018-12-19 13:34:39 | 8e6c74787741d3025897cc6f744a13449a78041e | diff --git a/beacon_api/conf/config.py b/beacon_api/conf/config.py
index 832143e..b3aba49 100644
--- a/beacon_api/conf/config.py
+++ b/beacon_api/conf/config.py
@@ -8,19 +8,6 @@ At this point we also initialize a connection pool that the API is going to use
import os
import asyncpg
-URL = os.environ.get('DATABASE_U... | Special characters in database password
#### Describe the bug
If your db password contains certain special characters , the call to `asyncpg.create_pool` will fail, as some characters are interpreted as a url delimiters.
#### To Reproduce
Steps to reproduce the behaviour:
1. Have a password containing special cha... | CSCfi/beacon-python | diff --git a/tests/test_db_load.py b/tests/test_db_load.py
index 66a0439..ac01147 100644
--- a/tests/test_db_load.py
+++ b/tests/test_db_load.py
@@ -95,8 +95,7 @@ class DatabaseTestCase(asynctest.TestCase):
def setUp(self):
"""Initialise BeaconDB object."""
- self._db_url = 'http://url.fi'
- ... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 2,
"test_score": 3
},
"num_modified_files": 4
} | 1.0 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio",
"testfixtures",
"flake8",
... | aiocache==0.12.3
aiohttp==3.8.6
aiohttp-cors==0.7.0
aiomcache==0.6.0
aioresponses==0.7.6
aiosignal==1.2.0
async-timeout==4.0.2
asyncpg==0.26.0
asynctest==0.13.0
attrs==22.2.0
-e git+https://github.com/CSCfi/beacon-python.git@0f810a3789be6bc54614ddf17085655c106e486b#egg=beacon_api
certifi==2021.5.30
cffi==1.15.1
charset... | name: beacon-python
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2021.5.30=py36h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
... | [
"Test"
] | [] | [] | [] | Apache License 2.0 | null | null | |
CSCfi__swift-browser-ui-20 | 316d76f77f93701289188d0d461d4fc30fdccf96 | 2019-08-21 12:19:43 | 316d76f77f93701289188d0d461d4fc30fdccf96 | diff --git a/swift_browser_ui/middlewares.py b/swift_browser_ui/middlewares.py
index 3a857ab8..3f08bf77 100644
--- a/swift_browser_ui/middlewares.py
+++ b/swift_browser_ui/middlewares.py
@@ -5,41 +5,40 @@ from aiohttp import web
from .settings import setd
+def return_error_response(error_code):
+ """Return the ... | Failure to retrieve containers after switching to a a project with no containers
#### Describe the bug
Failure to retrieve containers after switching to a a project with no containers
#### To Reproduce
Steps to reproduce the behaviour:
1. Log in
2.1 If there is a project with some containers available switch to ... | CSCfi/swift-browser-ui | diff --git a/tests/test_middlewares.py b/tests/test_middlewares.py
index 84bad576..3c54417d 100644
--- a/tests/test_middlewares.py
+++ b/tests/test_middlewares.py
@@ -52,37 +52,37 @@ class MiddlewareTestClass(asynctest.TestCase):
"""Test 401 middleware when the 401 status is returned."""
resp = await ... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_media",
"has_many_modified_files"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 2
},
"num_modified_files": 2
} | 0.3 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[test]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist"
],
"pre_install": [
"apt-get update",
"apt-get install -y gc... | aiohttp==3.8.6
aiosignal==1.3.1
alabaster==0.7.13
async-timeout==4.0.3
asynctest==0.13.0
attrs==24.2.0
Babel==2.14.0
certifi @ file:///croot/certifi_1671487769961/work/certifi
cffi==1.15.1
charset-normalizer==3.4.1
click==8.1.8
coverage==6.5.0
coveralls==3.3.1
cryptography==44.0.2
distlib==0.3.9
docopt==0.6.2
docutils=... | name: swift-browser-ui
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2022.12.7=py37h06a4308_0
- ld_impl_linux-64=2.40=h12ee557... | [
"tests/test_middlewares.py::MiddlewareTestClass::test_401_exception",
"tests/test_middlewares.py::MiddlewareTestClass::test_401_return",
"tests/test_middlewares.py::MiddlewareTestClass::test_403_exception",
"tests/test_middlewares.py::MiddlewareTestClass::test_403_return",
"tests/test_middlewares.py::Middle... | [] | [
"tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_no_error",
"tests/test_middlewares.py::MiddlewareTestClass::test_error_middleware_non_handled_raise"
] | [] | MIT License | swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-20 | swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-20 | |
CSCfi__swift-browser-ui-21 | 316d76f77f93701289188d0d461d4fc30fdccf96 | 2019-08-21 13:00:14 | 316d76f77f93701289188d0d461d4fc30fdccf96 | diff --git a/docs/source/conf.py b/docs/source/conf.py
index 861c746a..c2766881 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -28,7 +28,7 @@ copyright = f'{current_year}, CSC Developers'
author = 'CSC Developers'
# The full version, including alpha/beta/rc tags
-version = release = '0.3.2'
+version ... | Failure to retrieve containers after switching to a a project with no containers
#### Describe the bug
Failure to retrieve containers after switching to a a project with no containers
#### To Reproduce
Steps to reproduce the behaviour:
1. Log in
2.1 If there is a project with some containers available switch to ... | CSCfi/swift-browser-ui | diff --git a/tests/test_middlewares.py b/tests/test_middlewares.py
index 84bad576..3c54417d 100644
--- a/tests/test_middlewares.py
+++ b/tests/test_middlewares.py
@@ -52,37 +52,37 @@ class MiddlewareTestClass(asynctest.TestCase):
"""Test 401 middleware when the 401 status is returned."""
resp = await ... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_media",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 1,
"issue_text_score": 1,
"test_score": 1
},
"num_modified_fi... | 0.3 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[test]",
"log_parser": "parse_log_pytest_v2",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-mock",
"pytest-asyncio"
],
"pre_install": [
... | aiohttp==3.8.6
aiosignal==1.3.1
alabaster==0.7.13
async-timeout==4.0.3
asynctest==0.13.0
attrs==24.2.0
Babel==2.14.0
certifi @ file:///croot/certifi_1671487769961/work/certifi
cffi==1.15.1
charset-normalizer==3.4.1
click==8.1.8
coverage==6.5.0
coveralls==3.3.1
cryptography==44.0.2
distlib==0.3.9
docopt==0.6.2
docutils=... | name: swift-browser-ui
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- certifi=2022.12.7=py37h06a4308_0
- ld_impl_linux-64=2.40=h12ee557... | [
"tests/test_middlewares.py::MiddlewareTestClass::test_401_exception",
"tests/test_middlewares.py::MiddlewareTestClass::test_401_return",
"tests/test_middlewares.py::MiddlewareTestClass::test_403_exception",
"tests/test_middlewares.py::MiddlewareTestClass::test_403_return",
"tests/test_middlewares.py::Middle... | [] | [] | [] | MIT License | swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-21 | swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-21 | |
CSCfi__swift-browser-ui-394 | 2434fc7b1907f113f516da55eb9de62b1e452541 | 2021-11-12 14:55:00 | 26a360f4c39d0c2161c9651554090a9610d4cbce | diff --git a/swift_browser_ui/ui/api.py b/swift_browser_ui/ui/api.py
index 9fa283b5..0da1405b 100644
--- a/swift_browser_ui/ui/api.py
+++ b/swift_browser_ui/ui/api.py
@@ -67,11 +67,6 @@ async def swift_list_buckets(request: aiohttp.web.Request) -> aiohttp.web.Respon
# response at once
serv = request.a... | Deleting the last bucket does not refresh the browser view
#### Describe the bug
If you delete the last bucket in the project a notification is shown that the bucket is deleted, but the view does not get updated and the bucket is still visible and you can still open the bucket.
#### To Reproduce
Steps to reproduce... | CSCfi/swift-browser-ui | diff --git a/tests/ui_unit/test_api.py b/tests/ui_unit/test_api.py
index 5348e7d0..f116ab0f 100644
--- a/tests/ui_unit/test_api.py
+++ b/tests/ui_unit/test_api.py
@@ -107,10 +107,11 @@ class APITestClass(asynctest.TestCase):
)
async def test_list_without_containers(self):
- """Test function list ... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_media",
"has_added_files",
"has_many_modified_files",
"has_many_hunks",
"has_pytest_match_arg"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 3,
"issue_text_sco... | 1.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest pytest-cov flake8 flake8-docstrings pytest-xdist asynctest",
"pytest"
],
"pre_install": [
"apt-get update... | aiohttp==3.7.4.post0
alabaster==0.7.13
async-timeout==3.0.1
asyncpg==0.24.0
asynctest==0.13.0
attrs==25.3.0
babel==2.17.0
certifi==2021.10.8
cffi==1.17.1
chardet==4.0.0
charset-normalizer==3.4.1
click==8.0.3
coverage==7.6.1
cryptography==35.0.0
docutils==0.17.1
exceptiongroup==1.2.2
execnet==2.1.1
flake8==7.1.2
flake8-... | name: swift-browser-ui
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- li... | [
"tests/ui_unit/test_api.py::APITestClass::test_list_without_containers"
] | [] | [
"tests/ui_unit/test_api.py::APITestClass::test_get_container_meta_swift",
"tests/ui_unit/test_api.py::APITestClass::test_get_object_meta_s3",
"tests/ui_unit/test_api.py::APITestClass::test_get_object_meta_swift",
"tests/ui_unit/test_api.py::APITestClass::test_get_object_meta_swift_whole",
"tests/ui_unit/tes... | [] | MIT License | swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-394 | swerebench/sweb.eval.x86_64.cscfi_1776_swift-browser-ui-394 | |
CSCfi__swift-browser-ui-541 | 26a360f4c39d0c2161c9651554090a9610d4cbce | 2022-03-01 13:50:01 | 26a360f4c39d0c2161c9651554090a9610d4cbce | diff --git a/.github/config/.finnishwords.txt b/.github/config/.finnishwords.txt
index 3629ed43..397cc63b 100644
--- a/.github/config/.finnishwords.txt
+++ b/.github/config/.finnishwords.txt
@@ -1,5 +1,7 @@
+
ajaksi
alapuolisesta
+alla
aloitettiin
annetut
apin
@@ -24,6 +26,7 @@ erillinen
erissä
esimerkiksi
esit... | Support project isolation for token
#### Proposed solution
<!-- A clear and concise description of what you want to happen. -->
There should be a possibility to limit project scope when necessary. Some services will require this due to regulation.
#### DoD (Definition of Done)
<!-- How to know this is implemented... | CSCfi/swift-browser-ui | diff --git a/tests/common/mockups.py b/tests/common/mockups.py
index f2f76f7b..e3177d45 100644
--- a/tests/common/mockups.py
+++ b/tests/common/mockups.py
@@ -32,12 +32,14 @@ class APITestBase(unittest.IsolatedAsyncioTestCase):
"name": "test-name-0",
"token": "test-token-0",
... | {
"commit_name": "head_commit",
"failed_lite_validators": [
"has_added_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 2,
"test_score": 2
},
"num_modified_files": 10
} | 1.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[test,docs,ui_test]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "requirements.txt",
"pip_packages": [
"pytest",
"pytest-cov",
"pytest-xdist",
"coveragepy-lcov"
],
"pre_install": [
"apt-get... | aiohttp==3.8.1
aiohttp-session==2.11.0
aioredis==2.0.1
aiosignal==1.3.2
alabaster==0.7.16
async-timeout==4.0.3
asyncpg==0.25.0
attrs==25.3.0
babel==2.17.0
black==22.1.0
certifi==2021.10.8
cffi==1.17.1
charset-normalizer==2.1.1
click==8.0.4
coverage==6.3.2
coveragepy-lcov==0.1.2
cryptography==36.0.1
distlib==0.3.9
docut... | name: swift-browser-ui
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- ld_impl_linux-64=2.40=h12ee557_0
- libffi=3.4.4=h6a678d5_1
- li... | [
"tests/ui_unit/test_api.py::APITestClass::test_os_list_projects"
] | [] | [
"tests/ui_unit/test_api.py::APITestClass::test_add_project_container_acl",
"tests/ui_unit/test_api.py::APITestClass::test_batch_swift_update_object_metadata",
"tests/ui_unit/test_api.py::APITestClass::test_batch_swift_update_object_metadata_no_objects",
"tests/ui_unit/test_api.py::APITestClass::test_get_acces... | [] | MIT License | null | null | |
CTFd__ctfcli-148 | 26bcec897fcc1f5f23c8117e2a225a130a8b0dea | 2024-03-07 11:52:44 | 704a86447656564369e41881af1f692d45cf4f40 | ColdHeat: Pardon my ignorance here but I don't see what the point is of the `--load` switch? Do you want to have the image output as a tar file?
Additional arguments could be good but I think it would need to be generic. Perhaps something like `--extra-args="--switch1=123"`
pl4nty: `--load` loads the image into loc... | diff --git a/ctfcli/cli/challenges.py b/ctfcli/cli/challenges.py
index b56525c..51755e6 100644
--- a/ctfcli/cli/challenges.py
+++ b/ctfcli/cli/challenges.py
@@ -1,3 +1,4 @@
+import contextlib
import logging
import os
import subprocess
@@ -203,167 +204,253 @@ class ChallengeCommand:
click.secho(f"Could not p... | Support Buildkit drivers for image builds
[Buildkit drivers](https://docs.docker.com/build/drivers/) offer a lot of additional features over the default `docker` driver, like multi-arch images and remote builders.
They could be supported by moving tag/push to `docker build --push`, depending on docker buildx which b... | CTFd/ctfcli | diff --git a/tests/core/test_image.py b/tests/core/test_image.py
index 2e773f4..8e6ab37 100644
--- a/tests/core/test_image.py
+++ b/tests/core/test_image.py
@@ -56,7 +56,9 @@ class TestImage(unittest.TestCase):
self.assertTrue(image.built)
self.assertEqual(image_name, "test-challenge")
- mock... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_hyperlinks",
"has_many_modified_files"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 1,
"test_score": 2
},
"num_modified_files": 2
} | 0.1 | {
"env_vars": null,
"env_yml_path": null,
"install": "pip install -e .[dev]",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "pytest",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.9",
"reqs_path": null,
"test_cmd": "pytest --no-header -rA --tb=line --col... | appdirs==1.4.4
arrow==1.3.0
binaryornot==0.4.4
certifi==2025.1.31
chardet==5.2.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
cookiecutter==2.6.0
-e git+https://github.com/CTFd/ctfcli.git@26bcec897fcc1f5f23c8117e2a225a130a8b0dea#egg=ctfcli
exceptiongroup @ file:///croot/exceptiongroup_1706031385326/work
fire=... | name: ctfcli
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2025.2.25=h06a4308_0
- exceptiongroup=1.2.0=py39h06a4308_0
- iniconfig=1.1.1=pyhd3eb1b0_0
- ld_i... | [
"tests/core/test_image.py::TestImage::test_build",
"tests/core/test_image.py::TestImage::test_build_returns_none_if_failed",
"tests/core/test_image.py::TestImage::test_builds_image_before_export",
"tests/core/test_image.py::TestImage::test_builds_image_before_push"
] | [] | [
"tests/core/test_image.py::TestImage::test_accepts_path_as_string_and_pathlike",
"tests/core/test_image.py::TestImage::test_assigns_attributes",
"tests/core/test_image.py::TestImage::test_export_built_image",
"tests/core/test_image.py::TestImage::test_extracts_correct_basename",
"tests/core/test_image.py::T... | [] | Apache License 2.0 | null | null |
CWorthy-ocean__C-Star-206 | b67a5f9f18fcb0aae6c8eaae6463310b9d9ad638 | 2024-12-23 17:01:00 | 70c35baf4e6664de208500686b5a0a9c1af22e73 | diff --git a/cstar/base/component.py b/cstar/base/component.py
index 1128546..191cc43 100644
--- a/cstar/base/component.py
+++ b/cstar/base/component.py
@@ -6,7 +6,7 @@ from cstar.base.base_model import BaseModel
if TYPE_CHECKING:
from cstar.base.additional_code import AdditionalCode
from cstar.base.discreti... | Create equivalent to `SchedulerJob` for local execution (`LocalProcess`?)
Following #175 `ROMSComponent.run()` will return a `SchedulerJob` instance if the system uses a scheduler, or executes "live" while the user waits if not. For consistent behaviour we should return an instance of a class like `LocalProcess` that h... | CWorthy-ocean/C-Star | diff --git a/cstar/tests/integration_tests/test_cstar_test_blueprints.py b/cstar/tests/integration_tests/test_cstar_test_blueprints.py
index f99db1b..3591b00 100644
--- a/cstar/tests/integration_tests/test_cstar_test_blueprints.py
+++ b/cstar/tests/integration_tests/test_cstar_test_blueprints.py
@@ -78,5 +78,6 @@ class... | {
"commit_name": "merge_commit",
"failed_lite_validators": [
"has_issue_reference",
"has_added_files",
"has_many_modified_files",
"has_many_hunks"
],
"has_test_patch": true,
"is_lite": false,
"llm_score": {
"difficulty_score": 2,
"issue_text_score": 0,
"test_score": 3
},
"num... | 0.0 | {
"env_vars": null,
"env_yml_path": [
"ci/environment.yml"
],
"install": "pip install -e .",
"log_parser": "parse_log_pytest",
"no_use_env": null,
"packages": "pytest",
"pip_packages": [
"pytest"
],
"pre_install": null,
"python": "3.10",
"reqs_path": null,
"test_cmd": "pytest --no-head... | affine==2.4.0
attrs==25.3.0
bokeh==3.7.2
Bottleneck==1.4.2
Cartopy==0.24.1
certifi==2025.1.31
cftime==1.6.4.post1
charset-normalizer==3.4.1
click==8.1.8
click-plugins==1.1.1
cligj==0.7.2
cloudpickle==3.1.1
contourpy==1.3.1
-e git+https://github.com/CWorthy-ocean/C-Star.git@b67a5f9f18fcb0aae6c8eaae6463310b9d9ad638#egg=c... | name: C-Star
channels:
- defaults
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/r
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h5eee18b_6
- ca-certificates=2025.2.25=h06a4308_0
- exceptiongroup=1.2.0=py310h06a4308_0
- iniconfig... | [
"cstar/tests/unit_tests/execution/test_handler.py::TestExecutionHandlerUpdates::test_updates_non_running_job",
"cstar/tests/unit_tests/execution/test_handler.py::TestExecutionHandlerUpdates::test_updates_running_job_with_tmp_file",
"cstar/tests/unit_tests/execution/test_handler.py::TestExecutionHandlerUpdates::... | [
"cstar/tests/integration_tests/test_cstar_test_blueprints.py::TestCStar::test_cstar[test_case_remote_with_netcdf_datasets]",
"cstar/tests/integration_tests/test_cstar_test_blueprints.py::TestCStar::test_cstar[test_case_remote_with_yaml_datasets]",
"cstar/tests/integration_tests/test_cstar_test_blueprints.py::Te... | [] | [] | Apache License 2.0 | null | null |
Subsets and Splits
Selected Instance IDs from SWE-bench Dataset
Retrieves specific instance IDs from a test dataset, which is basic filtering that provides limited analytical value beyond identifying particular records.
March-April Test Entries
Retrieves the first 100 records created in March or April, providing limited insight into these specific months.
Unique Repositories in Tests
Lists unique repository names from the dataset, providing a basic overview of the repositories present.
Filter Test Data by Instance ID
Retrieves all records for a specific instance, providing limited insight into the data structure but no broader analytical value.