crs-l1-paris-lambert93

Status: done
Score: 1.000
Duration: 1:32
Cost: 0.22¢
Model: google/gemma-4-26b-a4b-it

Map (reference ← swipe → agent)

0:00
Our heat-loss model won't accept the `paris_buildings` file in lat/lon. It needs the coordinates in metres using the standard official projection for the Paris region. Can you convert the buildings over so the model can ingest them? Please leave the attributes alone, and keep every geometry as a plain Polygon rather than turning it into a MultiPolygon. Write the result as a GeoPackage to `paris_buildings_lambert93.gpkg`, and use `id` as the key.
0:00
System info
{
  "adapter": "openrouter",
  "model": "google/gemma-4-26b-a4b-it",
  "base_url": "https://openrouter.ai/api/v1"
}
0:04
Bash ls -F
paris_buildings_wgs84.geojson
0:23
Write /work/solve.py
content · 72 lines · py
import geopandas as gpd

def main():
    # Load the input file
    input_file = 'paris_buildings_wgs84.geojson'
    output_file = 'paris_buildings_lambert93.gpkg'
    
    # EPSG:2154 is RGF93 / Lambert-93 (Standard official projection for France)
    target_crs = "EPSG:2154"
    
    print(f"Reading {input_file}...")
    gdf = gpd.read_file(input_file)
    print(f"Current CRS: {gdf.crs}")
    
    # Reproject to Lambert-93
    print(f"Reprojecting to {target_crs}...")
    gdf = gdf.to_crs(target_crs)
    
    # Ensure geometries are plain Polygons. 
    # If a geometry is a MultiPolygon, we explode it into individual Polygons.
    # We use explode() which creates a new row for each part of a MultiPolygon.
    # However, the user asked to "keep every geometry as a plain Polygon".
    # This usually implies that if we have a MultiPolygon, we want its constituents as separate rows.
    
    print("Ensuring all geometries are Polygons (exploding MultiPolygons)...")
    # explode() in modern GeoPandas handles MultiPolygons by creating multiple rows.
    # We need to make sure the index is reset or handled if we want to keep 'id' unique.
    # But the instruction says "use 'id' as the key" for the GPKG.
    
    # Let's check if there are MultiPolygons first
    multi_polys = gdf.is_valid.all() # just a check
    
    # explode() will turn MultiPolygons into Polygons.
    # It adds a multi-index, so we might want to reset it.
    gdf_exploded = gdf.explode(index_parts=False)
    
    # The instruction "keep every geometry as a plain Polygon rather than turning it into a MultiPolygon"
    # confirms that exploding is the right way to go.
    
    # Ensure 'id' is the index if required, but usually GeoPackage uses the first column or a specific id.
    # The instruction says "use 'id' as the key". In GeoPackage/OGR context, this often means 
    # the 'id' column should be the primary key.
    
    # Let's check the columns to see if 'id' exists.
    print(f"Columns: {gdf_exploded.columns.tolist()}")
    
    if 'id' not in gdf_exploded.columns:
        # If 'id' is not there, maybe it's the index?
        # But let's assume it's a column as per common GeoJSON structures.
        pass

    # Write to GeoPackage
    # We'll set the index to 'id' if it exists to ensure it's treated as a key if possible,
    # but standard geopandas to_file with 'id' column is usually fine.
    # To strictly follow "use 'id' as the key", we can set it as index.
    
    if 'id' in gdf_exploded.columns:
        gdf_exploded = gdf_exploded.set_index('id')
        # Note: exploding might have duplicated the 'id' if a MultiPolygon had parts.
        # If 'id' must be a unique key in the GPKG, we have a conflict if one building 
        # becomes multiple polygons. 
        # However, in GIS, "id" as a key for a layer often refers to the feature ID.
        # If a building is split, it technically has multiple geometries.
        # I will keep the original 'id' values.
        
    print(f"Writing to {output_file}...")
    gdf_exploded.to_file(output_file, driver="GPKG")
    print("Done!")

if __name__ == "__main__":
    main()
Wrote /work/solve.py (3154 chars).
0:28
Bash python solve.py
Reading paris_buildings_wgs84.geojson...
Current CRS: EPSG:4326
Reprojecting to EPSG:2154...
Ensuring all geometries are Polygons (exploding MultiPolygons)...
Columns: ['id', 'class', 'subtype', 'name', 'height', 'num_floors', 'geometry']
Writing to paris_buildings_lambert93.gpkg...
Done!
0:43
Bash # Check the contents of the resulting GeoPackage to ensure it was written correc...
# Check the contents of the resulting GeoPackage to ensure it was written correctly.
# I'll use python to read a bit of it.
python -c "import geopandas as gpd; gdf = gpd.read_file('paris_buildings_lambert93.gpkg'); print(gdf.head()); print(gdf.geometry.type.value_counts())"
                                     id  ...                                           geometry
0  007591b9-c632-4d57-8bd2-144f82cfdd73  ...  POLYGON ((653023.358 6862079.654, 653024.174 6...
1  00fac4fe-168a-4116-b287-6a28f34c87df  ...  POLYGON ((652733.625 6862030.782, 652734.612 6...
2  020eefa5-5685-4f26-bd27-5b2bbd276bec  ...  POLYGON ((652836.551 6862104.813, 652840.761 6...
3  030e5772-d9af-4df1-9d7c-75d629eeca2d  ...  POLYGON ((652865.234 6861902.887, 652858.162 6...
4  0468c0c0-8ee9-4000-a0c1-514c803c86ee  ...  POLYGON ((652773.799 6862210.907, 652775.414 6...

[5 rows x 7 columns]
Polygon    330
Name: count, dtype: int64
0:47
Bash # Let's check if there were any MultiPolygons in the original file to see if the...
# Let's check if there were any MultiPolygons in the original file to see if the explode worked as intended.
python -c "import geopandas as gpd; gdf = gpd.read_file('paris_buildings_wgs84.geojson'); print(gdf.geometry.type.value_counts())"
Polygon    330
Name: count, dtype: int64
1:02
Bash # Re-run check on original file just in case
# Re-run check on original file just in case
python -c "import geopandas as gpd; gdf = gpd.read_file('paris_buildings_wgs84.geojson'); print(gdf.geometry.type.value_counts())"
Polygon    330
Name: count, dtype: int64
1:13
Bash # Let's double check the original geometry types and the exploded ones.
# Let's double check the original geometry types and the exploded ones.
# Wait, if the original only had Polygons, then explode didn't do much but it didn't hurt.
# The instruction says "keep every geometry as a plain Polygon rather than turning it into a MultiPolygon".
# This means if I have a MultiPolygon, I should NOT have it in the output.
# My code does this.

# One more check on the coordinates.
# Original first row:
python -c "import geopandas as gpd; gdf = gpd.read_file('paris_buildings_wgs84.geojson'); print(gdf.iloc[0].geometry)"
# New first row:
python -c "import geopandas as gpd; gdf = gpd.read_file('paris_buildings_lambert93.gpkg'); print(gdf.iloc[0].geometry)"
POLYGON ((2.3597498 48.8570399, 2.3597608 48.8570499, 2.3598145 48.8571068, 2.3598435 48.8571291, 2.359806 48.8571492, 2.3597163 48.8570555, 2.3597328 48.8570478, 2.3597498 48.8570399))
POLYGON ((653023.3579758534 6862079.654433834, 653024.174069436 6862080.759803761, 653028.1653712539 6862087.054649315, 653030.313221711 6862089.516967157, 653027.5799451262 6862091.774221548, 653020.9141225927 6862081.408950185, 653022.1177965244 6862080.542959753, 653023.3579758534 6862079.654433834))
1:31