crs-l1-paris-lambert93
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": "deepseek/deepseek-v4-flash",
"base_url": "https://openrouter.ai/api/v1"
}
0:04
Let me start by finding out what files are available in the working directory.
0:04
Bash
ls -la /work/
total 208 drwxr-xr-x 1 agent agent 58 Jun 9 06:50 . drwxr-xr-x 1 root root 14 Jun 9 06:50 .. -rw-r--r-- 1 agent agent 211685 Jun 9 06:50 paris_buildings_wgs84.geojson
0:07
The input file is `paris_buildings_wgs84.geojson` - WGS84 means lat/lon (EPSG:4326). The standard official projection for the Paris region is **Lambert-93**, which is the official French projection (EPSG:2154). Let me first inspect the file to understand its structure.
0:07
Read
/work/paris_buildings_wgs84.geojson
1 {
2 "type": "FeatureCollection",
3 "name": "paris_buildings_wgs84",
4 "crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
5 "features": [
6 { "type": "Feature", "properties": { "id": "007591b9-c632-4d57-8bd2-144f82cfdd73", "class": "apartments", "subtype": "residential", "name": "", "height": null, "num_floors": 4 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 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 ] ] ] } },
7 { "type": "Feature", "properties": { "id": "00fac4fe-168a-4116-b287-6a28f34c87df", "class": "hotel", "subtype": "commercial", "name": "Hôtel de Nice", "height": null, "num_floors": 7 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 2.3558066, 48.8565792 ], [ 2.3558201, 48.8565761 ], [ 2.355847, 48.8566201 ], [ 2.3558588, 48.8566176 ], [ 2.3559027, 48.8566953 ], [ 2.3558801, 48.8567021 ], [ 2.3557818, 48.856724 ], [ 2.3557422, 48.8566535 ], [ 2.3557293, 48.8566307 ], [ 2.355756, 48.856591 ], [ 2.3558066, 48.8565792 ] ] ] } },
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<system-reminder>Showed lines 1-50 of 337. Re-call Read with offset=51 to continue, or raise limit.</system-reminder>
0:23
Let me understand the task: 1. We have a GeoJSON file `paris_buildings_wgs84.geojson` with buildings in WGS84 (lat/lon). 2. We need to convert it to Lambert 93, which is the standard official projection for France (EPSG:2154). Actually, let me confirm — the official projection for the Paris region / France métropolitaine is **Lambert 93** which is EPSG:2154. 3. Convert coordinates to metres. 4. Keep all attributes intact. 5. Keep every geometry as a plain Polygon (not MultiPolygon). 6. Output to GeoPackage `paris_buildings_lambert93.gpkg` with `id` as the key (primary key / identifier column). Let me write a Python script using geopandas to do this.
0:23
0:23
Write
/work/solve.py
content · 32 lines · py
import geopandas as gpd
# Read the input GeoJSON
gdf = gpd.read_file("/work/paris_buildings_wgs84.geojson")
# The source CRS is WGS84 (CRS84 is essentially EPSG:4326)
gdf = gdf.set_crs("EPSG:4326")
# Reproject to Lambert 93 (the official projection for metropolitan France / Paris region)
gdf = gdf.to_crs("EPSG:2154")
# Ensure all geometries are plain Polygons, not MultiPolygons
# If any MultiPolygon exists, explode it into separate Polygon features
gdf = gdf.explode(index_parts=False).reset_index(drop=True)
# Verify all geometries are now Polygon
for i, geom in enumerate(gdf.geometry):
if geom.geom_type != "Polygon":
print(f"Warning: feature {i} is {geom.geom_type}, skipping conversion")
# Write to GeoPackage with 'id' as the primary key (fid)
gdf.to_file(
"/work/paris_buildings_lambert93.gpkg",
layer="paris_buildings",
driver="GPKG",
fid="id",
)
print("Done. Output written to paris_buildings_lambert93.gpkg")
print(f"Feature count: {len(gdf)}")
print(f"CRS: {gdf.crs}")
print(f"Geometry types: {gdf.geometry.geom_type.value_counts().to_dict()}")Wrote /work/solve.py (1094 chars).
0:29
Let me run the script now.
0:29
Bash
cd /work && python solve.py
Traceback (most recent call last):
File "/work/solve.py", line 22, in <module>
gdf.to_file(
~~~~~~~~~~~^
"/work/paris_buildings_lambert93.gpkg",
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<2 lines>...
fid="id",
^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/geopandas/geodataframe.py", line 1632, in to_file
_to_file(self, filename, driver, schema, index, **kwargs)
~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/geopandas/io/file.py", line 731, in _to_file
_to_file_pyogrio(df, filename, driver, schema, crs, mode, metadata, **kwargs)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/geopandas/io/file.py", line 793, in _to_file_pyogrio
pyogrio.write_dataframe(df, filename, driver=driver, metadata=metadata, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pyogrio/geopandas.py", line 917, in write_dataframe
write(
~~~~~^
path,
^^^^^
...<18 lines>...
**kwargs,
^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/pyogrio/raw.py", line 733, in write
ogr_write(
~~~~~~~~~^
path,
^^^^^
...<16 lines>...
gdal_tz_offsets=gdal_tz_offsets,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "pyogrio/_io.pyx", line 2644, in pyogrio._io.ogr_write
pyogrio.errors.FieldError: Error adding field 'id' to layer
0:38
The issue is that `fid="id"` in GeoPackage expects a column that can be used as the natural key (FID), but pyogrio doesn't allow creating a field named "id" if it's also used as the FID column since it conflicts with the built-in FID. Let me check what columns exist and try a different approach. The GeoPackage format has a built-in `fid` column. When we write with `fid="id"`, it tries to use the column named "id" as the primary key. But the `id` column already exists as a regular attribute column, so there's a conflict. Let me just write it without the `fid` parameter and handle it differently. Actually, let me check what pyogrio expects. The `fid` parameter specifies which column to use as the FID (feature ID) in the GeoPackage. But it seems like it's trying to also create a field called "id" which conflicts. Let me try a different approach: write without `fid` and let GeoPackage auto-generate FIDs, or rename the column temporarily. Actually, the simplest approach is to just write the file without specifying `fid`, since the `id` column already exists in the data as an attribute. The GeoPackage will get its own internal FID, and the `id` column will remain as a regular column.
0:38
Edit
/work/solve.py
Edited /work/solve.py.
0:54
Wait, the user said "use `id` as the key" — this likely means use the `id` field as the GeoPackage primary key / FID. In GeoPackage, the FID is a special integer primary key column. But the `id` column in the data is a UUID string, so it can't directly be the FID (which must be integer). Let me re-read: "Write the result as a GeoPackage to `paris_buildings_lambert93.gpkg`, and use `id` as the key." I think this means they want the `id` column to be used as the feature identifier in the GeoPackage. In GeoPackage, the FID is an integer. But we can pass `fid="id"` to pyogrio/geopandas to use the values in the `id` column as the FID field. The error was "Error adding field 'id' to layer" — this might be because the `id` column was a string type and the FID must be integer. Let me check the data type. Actually looking at the GeoJSON, the `id` values look like UUID strings: "007591b9-c632-4d57-8bd2-144f82cfdd73". Pyogrio might have issues with this. Let me try a different approach - rename the column to something else, or use a different strategy. Actually, in GeoPackage, the FID (feature ID) is always an integer auto-generated by the format. The `fid` parameter in pyogrio actually refers to which column to use as the FID (feature ID), but it must be an integer column. Wait, let me re-read pyogrio docs. The `fid` parameter specifies which column in the DataFrame to use as the FID field. If the column contains non-integer values, it may fail. Let me just keep `id` as a regular column and make sure it's properly preserved. The user says "use `id` as the key" — this could mean use it as the primary key identifier. Since GPKG FIDs are always integers, I'll just keep `id` as an attribute column. That's the best we can do with string UUIDs. Actually wait, let me check if there's a way to do this properly. Let me look at the pyogrio documentation for the `fid` parameter. Actually I think the issue might be that the `id` column values are strings, and the FID in GeoPackage must be integer. Let me try a different approach: keep `id` as a regular attribute column.
0:54
Read
/work/solve.py
1 import geopandas as gpd
2
3 # Read the input GeoJSON
4 gdf = gpd.read_file("/work/paris_buildings_wgs84.geojson")
5
6 # The source CRS is WGS84 (CRS84 is essentially EPSG:4326)
7 gdf = gdf.set_crs("EPSG:4326")
8
9 # Reproject to Lambert 93 (the official projection for metropolitan France / Paris region)
10 gdf = gdf.to_crs("EPSG:2154")
11
12 # Ensure all geometries are plain Polygons, not MultiPolygons
13 # If any MultiPolygon exists, explode it into separate Polygon features
14 gdf = gdf.explode(index_parts=False).reset_index(drop=True)
15
16 # Verify all geometries are now Polygon
17 for i, geom in enumerate(gdf.geometry):
18 if geom.geom_type != "Polygon":
19 print(f"Warning: feature {i} is {geom.geom_type}, skipping conversion")
20
21 # Write to GeoPackage preserving all attributes.
22 # The 'id' column is kept as a regular attribute column.
23 gdf.to_file(
24 "/work/paris_buildings_lambert93.gpkg",
25 layer="paris_buildings",
26 driver="GPKG",
27 )
28
29 print("Done. Output written to paris_buildings_lambert93.gpkg")
30 print(f"Feature count: {len(gdf)}")
31 print(f"CRS: {gdf.crs}")
32 print(f"Geometry types: {gdf.geometry.geom_type.value_counts().to_dict()}")
1:20
The user asked to use `id` as the key. In GeoPackage, the primary key / FID column can be set with `fid` parameter but it failed because there was already a field named 'id'. Let me try a different approach - I can use the `id` column as the FID by specifying a schema with the `id` field as the FID. Or, I can use pyogrio directly and specify the fid column. Actually, the issue is that GeoPackage has a built-in `fid` (feature ID) column, and we can't have a separate field named `id` as well. Let me try setting `fid="id"` but also ensure the `id` field is not added as a regular attribute. Actually, the error says "Error adding field 'id' to layer" - this could be because the `id` column conflicts with the internal FID column. Let me rename the column before writing, or use a different approach. Actually, I think the proper way is to set the fid to the 'id' column using pyogrio directly, but the column still needs to exist as an attribute. Let me try a different approach - use pyogrio's write_dataframe with the fid parameter. Actually, looking at the pyogrio docs, the `fid` parameter should work but the `id` column name might conflict. Let me try another approach: write without the fid parameter, then the `id` column will be a regular column. The GeoPackage will have its own auto-generated FID. Wait, the user said "use `id` as the key". This likely means they want the `id` column from the original data to serve as the primary key / FID in the GeoPackage. Let me try to use pyogrio with the proper approach - maybe rename the column or use a workaround. Actually, the pyogrio `fid` parameter is supposed to indicate which column to use as the FID. The error "Error adding field 'id' to layer" suggests that there's a conflict - pyogrio might be trying to add the 'id' column as a regular field AND also use it as the FID. Let me try a different approach - write the GeoPackage using pyogrio with a schema that properly handles this. Let me try: 1. Drop the `id` column first 2. Then write with fid="id" or 3. Use `pyogrio.write_dataframe` with an explicit schema where 'id' is the FID Actually, rethinking - in GeoPackage, FID is built-in and typically auto-generated. If we want to use `id` as the key, we might just set the GeoPackage's FID values to match the `id` column values, without having `id` as a separate field column. Let me try removing the 'id' field from the attributes and using it as the FID during write.
1:20
Edit
/work/solve.py
Edited /work/solve.py.
1:31
Wait, let me think about this more carefully. When using `pyogrio.write_dataframe` with `fid=id_values`, the FID becomes the `id` column values. But the user said "use `id` as the key" — that likely means they want the `id` column to serve as the primary key / FID in the GeoPackage, which is exactly what this does. But the attribute `id` column will now be missing since we dropped it. Let me check if GeoPackage FIDs are visible as an attribute... Actually, in a GeoPackage, the FID is stored as `fid` (or the primary key column) in the geometry table. When reading back with GeoPandas, by default the FID column is not included as a regular column. But some users may want the id to be the FID for joining purposes. Let me re-read the user's question: "use `id` as the key". This likely means they want the value of the `id` attribute to be set as the FID (row identifier) in the GeoPackage. Since we're dropping the `id` column from attributes and using it as FID, this should work. But let me verify with a quick test. Actually, let me also consider an alternative approach: keep the `id` column in the attributes AND use it as the FID. But the error showed that pyogrio can't have both an attribute field named `id` and also use it as FID. So dropping it from attributes and setting it as FID is the right approach. But wait - what if the user wants `id` both as an attribute AND as the FID? Let me check if I can do that differently. Actually, the typical GPKG pattern is that the FID is a separate thing from the attributes. If the user says "use `id` as the key", that means use the id column values as the feature identifier (FID). The attribute doesn't need to be duplicated. Let me just run it and see.
1:31
Bash
cd /work && python solve.py
Done. Output written to paris_buildings_lambert93.gpkg
Feature count: 330
CRS: EPSG:2154
Geometry types: {'Polygon': 330}
1:41
Let me verify the output. Let me check the GeoPackage to confirm: 1. The CRS is Lambert 93 (EPSG:2154) 2. There's an `id` field used as the key 3. All geometries are Polygon (not MultiPolygon) 4. Coordinates are in metres (should be ~600,000 to ~700,000 range for Paris in Lambert 93) Let me verify.
1:41
1:41
Bash
cd /work && python -c "
cd /work && python -c "
import geopandas as gpd, pyogrio
gdf = gpd.read_file('paris_buildings_lambert93.gpkg')
print('CRS:', gdf.crs)
print('Count:', len(gdf))
print('Columns:', list(gdf.columns))
print('Geometry types:', gdf.geometry.geom_type.value_counts().to_dict())
print('Sample id:', gdf['id'].head(3).tolist())
print('Sample coords (x, y):', gdf.geometry.centroid.head(3))
print()
# Check first geometry's first coord
import shapely
geom = gdf.geometry.iloc[0]
print('First geom type:', type(geom))
xy = list(geom.exterior.coords)
print('First coords (approx):', xy[0])
print('Coord magnitude (should be ~600k-700k metres):', xy[0])
"
CRS: EPSG:2154
Count: 330
Columns: ['class', 'subtype', 'name', 'height', 'num_floors', 'geometry']
Geometry types: {'Polygon': 330}
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/pandas/core/indexes/base.py", line 3641, in get_loc
return self._engine.get_loc(casted_key)
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
File "pandas/_libs/index.pyx", line 168, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 197, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 7668, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 7676, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'id'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "<string>", line 9, in <module>
print('Sample id:', gdf['id'].head(3).tolist())
~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/geopandas/geodataframe.py", line 1891, in __getitem__
result = super().__getitem__(key)
File "/usr/local/lib/python3.14/site-packages/pandas/core/frame.py", line 4378, in __getitem__
indexer = self.columns.get_loc(key)
File "/usr/local/lib/python3.14/site-packages/pandas/core/indexes/base.py", line 3648, in get_loc
raise KeyError(key) from err
KeyError: 'id'
1:53
The id column was dropped from the attributes and set as the FID. Let me check that the FID is correctly stored. Let me use pyogrio to read with the fid properly.
1:53
Bash
cd /work && python -c "
cd /work && python -c "
import geopandas as gpd, pyogrio
# Read with pyogrio to see FID and attributes
meta = pyogrio.read_info('paris_buildings_lambert93.gpkg')
print('Meta:', meta)
print()
# Read the original to verify id is used as FID
gdf = pyogrio.read_dataframe('paris_buildings_lambert93.gpkg', use_fid_as_index=True)
print('Index (FID) sample:', list(gdf.index[:5]))
print('Columns:', list(gdf.columns))
print()
# Also verify with geopandas reading the FIDs
gdf2 = gpd.read_file('paris_buildings_lambert93.gpkg')
print('Geopandas read:')
print('CRS:', gdf2.crs)
print('Count:', len(gdf2))
print('First geom type:', type(gdf2.geometry.iloc[0]))
# Check coordinate magnitudes
xy = list(gdf2.geometry.iloc[0].exterior.coords)
print('First coord:', xy[0])
print('Coord magnitude ~600k-700k? -> Yes, this is Lambert 93 metres')
"
Meta: {'layer_name': 'paris_buildings', 'crs': 'EPSG:2154', 'encoding': 'UTF-8', 'fields': array(['class', 'subtype', 'name', 'height', 'num_floors'], dtype=object), 'dtypes': array(['object', 'object', 'object', 'float64', 'float64'], dtype=object), 'ogr_types': ['OFTString', 'OFTString', 'OFTString', 'OFTReal', 'OFTReal'], 'ogr_subtypes': ['OFSTNone', 'OFSTNone', 'OFSTNone', 'OFSTNone', 'OFSTNone'], 'fid_column': '0 007591b9-c632-4d57-8bd2-144f82cfdd73\n1 00fac4fe-168a-4116-b287-6a28f34c87df\n2 020eefa5-5685-4f26-bd27-5b2bbd276bec\n3 030e5772-d9af-4df1-9d7c-75d629eeca2d\n4 0468c0c0-8ee9-4000-a0c1-514c803c86ee\n ... \n325 fb9fe4a2-bd34-4146-a67c-c934b07955eb\n326 fbcf86b6-b3f9-4e1e-b388-24dd6c6e2c29\n327 fd72fd53-b2d7-4f60-a4c3-24fccaa7bd77\n328 fedd762b-25cf-4893-90d1-66b8750115fa\n329 ffb99f8c-5997-4670-b5bc-0e4e3744ae8c\nName: id, Length: 330, dtype: str', 'geometry_name': 'geom', 'geometry_type': 'Polygon', 'features': 330, 'total_bounds': (652677.960383905, 6861856.8251776, 653039.282281614, 6862296.82977648), 'driver': 'GPKG', 'capabilities': {'random_read': True, 'fast_set_next_by_index': True, 'fast_spatial_filter': True, 'fast_feature_count': True, 'fast_total_bounds': True}, 'layer_metadata': None, 'dataset_metadata': None}
Index (FID) sample: [0, 1, 2, 3, 4]
Columns: ['class', 'subtype', 'name', 'height', 'num_floors', 'geometry']
Geopandas read:
CRS: EPSG:2154
Count: 330
First geom type: <class 'shapely.geometry.polygon.Polygon'>
First coord: (653023.3579758534, 6862079.654433834)
Coord magnitude ~600k-700k? -> Yes, this is Lambert 93 metres
/usr/local/lib/python3.14/site-packages/pyogrio/raw.py:200: RuntimeWarning: driver GPKG does not support open option USE_FID_AS_INDEX return ogr_read(
2:06
The `fid='id'` approach using pyogrio's `fid` parameter didn't quite work as expected - it seems to have stored the id values in some other way. The `fid_column` in the metadata shows the full pandas Series as a string, which is wrong. Let me look at this more carefully. The user asked to "use `id` as the key". In GeoPackage terms, this means the `id` column should be the FID (primary key). The `fid` parameter in pyogrio's `write_dataframe` should set the FID column values. But the output shows the FIDs are just integers 0,1,2,... Let me re-read the pyogrio docs. The `fid` parameter in `write_dataframe` expects either a column name (str) or an array-like. When I pass a Series, it might be treating it differently. Actually, looking at the metadata more carefully, `fid_column` shows the full Series as a string. That's odd. Let me try a different approach - write the 'id' as a regular column but also set it as the FID. Actually, looking at the pyogrio docs: - `fid` parameter: "If a string, the name of a field in the dataframe to use as the FID. If an array-like, the values to use as the FID." So when I pass the Series, it uses the values as FIDs. But in GeoPackage, FIDs must be integers. So that won't work with UUIDs. Let me re-think. The user says "use `id` as the key" - in GeoPackage context, the FID column is an integer primary key. But the id values are UUIDs. I think the best approach is to keep the `id` column as a regular attribute column in the GeoPackage. That way the data is preserved and can be used as a key by the model. The GeoPackage will have its own integer FID, and the `id` column will retain the original UUID values. Let me write the file with `id` as a regular column and not worry about setting it as the GeoPackage FID (which is always integer). Actually, the previous approach dropped the `id` column from attributes and tried to use it as FID. But FIDs must be integers in GPKG, so the UUIDs got converted to integers (0,1,2...) and the id column was lost! I need to keep the `id` column as an attribute. Let me redo this properly.
2:06
2:06
Write
/work/solve.py
content · 37 lines · py
import geopandas as gpd
# Read the input GeoJSON
gdf = gpd.read_file("/work/paris_buildings_wgs84.geojson")
# The source CRS is WGS84 (CRS84 is essentially EPSG:4326)
gdf = gdf.set_crs("EPSG:4326")
# Reproject to Lambert 93 (official French projection, EPSG:2154)
gdf = gdf.to_crs("EPSG:2154")
# Ensure all geometries are plain Polygons, not MultiPolygons
gdf = gdf.explode(index_parts=False).reset_index(drop=True)
# Verify all geometries are Polygon
non_polygons = gdf[gdf.geometry.geom_type != "Polygon"]
if len(non_polygons) > 0:
print(f"Warning: {len(non_polygons)} non-Polygon geometries found")
# Write to GeoPackage, keeping all attributes including 'id'
# GeoPackage FIDs are auto-assigned integers; 'id' stays as a regular column
gdf.to_file(
"/work/paris_buildings_lambert93.gpkg",
layer="paris_buildings",
driver="GPKG",
)
print("Done. Output written to paris_buildings_lambert93.gpkg")
print(f"Feature count: {len(gdf)}")
print(f"CRS: {gdf.crs}")
print(f"Columns: {list(gdf.columns)}")
print(f"Geometry types: {gdf.geometry.geom_type.value_counts().to_dict()}")
# Quick coordinate sanity check
bounds = gdf.total_bounds
print(f"X range: {bounds[0]:.2f} to {bounds[2]:.2f} (should be ~650k m)")
print(f"Y range: {bounds[1]:.2f} to {bounds[3]:.2f} (should be ~6.86M m)")Wrote /work/solve.py (1305 chars).
2:09
Bash
cd /work && python solve.py
Done. Output written to paris_buildings_lambert93.gpkg
Feature count: 330
CRS: EPSG:2154
Columns: ['id', 'class', 'subtype', 'name', 'height', 'num_floors', 'geometry']
Geometry types: {'Polygon': 330}
X range: 652677.96 to 653039.28 (should be ~650k m)
Y range: 6861856.83 to 6862296.83 (should be ~6.86M m)
2:14
All looks good. Let me verify the output file exists and do a final sanity check.
2:14
Bash
ls -lh /work/paris_buildings_lambert93.gpkg
-rw-r--r-- 1 agent agent 240K Jun 9 06:52 /work/paris_buildings_lambert93.gpkg
2:25
Let me verify everything meets the requirements: 1. ✅ Converted from WGS84 (lat/lon) to Lambert 93 (EPSG:2154) — the official French projection for the Paris region 2. ✅ Coordinates are in metres — X ~650k, Y ~6.86M (Lambert 93 values fit this range) 3. ✅ Attributes preserved — all columns (`id`, `class`, `subtype`, `name`, `height`, `num_floors`) are present 4. ✅ Every geometry is a plain Polygon (no MultiPolygons) — verified with `explode()`, confirmed 330 Polygons 5. ✅ Written to `paris_buildings_lambert93.gpkg` 6. ✅ The `id` field is kept as the key attribute (it's in the columns) One thing to note: the user said "use `id` as the key". In a GeoPackage, the physical FID is always an integer primary key. The `id` column (UUID) is preserved as a regular attribute column. This is the standard way to handle this. The user's model can join on the `id` column directly.
2:25