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|
|
| import geopandas as gpd |
| from geopy.geocoders import Nominatim, GoogleV3 |
| import os |
| import argparse |
|
|
| parser = argparse.ArgumentParser() |
| parser.add_argument("id_type", type=str) |
| args = parser.parse_args() |
|
|
| geolocator = GoogleV3(api_key=os.environ["GOOGLE_GEOCODING_API_KEY"]) if "GOOGLE_GEOCODING_API_KEY" in os.environ else Nominatim(user_agent="ogd4all") |
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| |
| import warnings |
| warnings.filterwarnings("ignore", category=RuntimeWarning) |
|
|
| gdf_brunn = gpd.read_file("./data/opendata/50000006/extracted/brunnen.gpkg", layer="wvz.wvz_brunnen") |
| gdf_brunn = gdf_brunn[gdf_brunn['art'] =="Notwasserbrunnen"] |
|
|
| location = geolocator.geocode("Förrlibuckstrasse 110, Zürich") |
| esri_location = gpd.GeoSeries(gpd.points_from_xy([location.longitude], [location.latitude]), crs="EPSG:4326") |
| esri_location = esri_location.to_crs(epsg=2056) |
| gdf_brunn['distance_to_esri'] = gdf_brunn['geometry'].apply(lambda x: x.distance(esri_location.iloc[0])) |
| closest_fountain = gdf_brunn.nsmallest(1, 'distance_to_esri') |
| if args.id_type.strip() == "Objekt ID": |
| print(int(closest_fountain['objectid'].iloc[0])) |
| elif args.id_type.strip() == "Brunnennummer": |
| print(int(closest_fountain['brunnennummer'].iloc[0])) |
| else: |
| raise ValueError(f"Unknown id_type: {args.id_type.strip()}") |
