dd-l1-vienna-gpkg-manifest
Map (reference ← swipe → agent)
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Inherited a GPKG (vienna_planning) from a colleague who retired last week. Before I commit to scripting against it I need a one-page manifest so I can see what's in there and decide which layers actually feed next month's councillor briefing. Catalog the contents and give me one record per layer. Output manifest.json — a JSON list of these records.
Each record in the list must be a JSON object with exactly five keys: `layer_name` as a string, `crs` as a string in `EPSG:NNNN` form, `geometry_type` as a string matching the layer's native type (e.g. `Point`, `LineString`, `Polygon`, `MultiPolygon`), `feature_count` as an integer, and `bbox` as a list of four numbers `[xmin, ymin, xmax, ymax]` in the layer's native CRS.
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System info
{
"adapter": "openrouter",
"model": "google/gemma-4-26b-a4b-it",
"base_url": "https://openrouter.ai/api/v1"
}
0:00
Bash
ls -F
vienna_planning.gpkg
0:09
Write
solve.py
content · 64 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "fiona", "pyproj"]
# ///
import geopandas as gpd
import fiona
import json
def get_manifest(gpkg_path):
layers = fiona.listlayers(gpkg_path)
manifest = []
for layer_name in layers:
# Read the layer
gdf = gpd.read_file(gpkg_path, layer=layer_name)
# Get CRS in EPSG:NNNN form
# gdf.crs.to_epsg() returns the EPSG code as an integer or None
epsg_code = gdf.crs.to_epsg()
if epsg_code is not None:
crs_str = f"EPSG:{epsg_code}"
else:
# If to_epsg fails, try to get it from the CRS directly or fallback
# For this task, we assume it's possible or we'll handle the string
crs_str = str(gdf.crs)
# Get geometry type
# The most common types are Point, LineString, Polygon, MultiPoint, MultiLineString, MultiPolygon
# geopandas uses shapely types. We can get the type from the first geometry if it exists.
if not gdf.empty:
geom_type = gdf.geometry.iloc[0].geom_type
else:
geom_type = "Unknown"
# Feature count
feature_count = len(gdf)
# Bounding box [xmin, ymin, xmax, ymax]
if not gdf.empty:
bounds = gdf.total_bounds # [xmin, ymin, xmax, ymax]
bbox = bounds.tolist()
else:
bbox = [0.0, 0.0, 0.0, 0.0]
manifest.append({
"layer_name": layer_name,
"crs": crs_str,
"geometry_type": geom_type,
"feature_count": feature_count,
"bbox": bbox
})
return manifest
if __name__ == "__main__":
gpkg_file = "vienna_planning.gpkg"
manifest_data = get_manifest(gpkg_file)
with open("manifest.json", "w") as f:
json.dump(manifest_data, f, indent=4)
print("Manifest generated successfully.")
Wrote /home/nhp/project/benchmark/harness/.sessions/c0ff2c3bc6764d75bd84a50a95012387/solve.py (1940 chars).
0:10
Bash
uv run solve.py
Building fiona==1.10.1
× Failed to build `fiona==1.10.1`
├─▶ The build backend returned an error
╰─▶ Call to `setuptools.build_meta.build_wheel` failed (exit status: 1)
[stderr]
WARNING:root:Failed to get options via gdal-config: [Errno 2] No such
file or directory: 'gdal-config'
CRITICAL:root:A GDAL API version must be specified. Provide a path
to gdal-config using a GDAL_CONFIG environment variable or use a
GDAL_VERSION environment variable.
hint: Build failures usually indicate a problem with the package or the build environment
0:18
Write
solve.py
content · 74 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj"]
# ///
import geopandas as gpd
import json
def get_manifest(gpkg_path):
# Use geopandas engine directly if possible, or fiona if available.
# geopandas' read_file can use fiona under the hood, but we'll try to
# get layers another way if fiona installation is tricky.
import fiona
layers = fiona.listlayers(gpkg_path)
manifest = []
for layer_name in layers:
# Read the layer
gdf = gpd.read_file(gpkg_path, layer=layer_name)
# Get CRS in EPSG:NNNN form
# gdf.crs.to_epsg() returns the EPSG code as an integer or None
epsg_code = gdf.crs.to_epsg()
if epsg_code is not None:
crs_str = f"EPSG:{epsg_code}"
else:
# Fallback to string representation if to_epsg is None
# We want to try and ensure it looks like EPSG:XXXX if possible
crs_str = str(gdf.crs)
# Get geometry type
# Use the first geometry to determine type
if not gdf.empty:
# geopandas geometry series may contain different types
# We'll take the type of the first non-null geometry
first_geom = gdf.geometry.dropna().iloc[0] if not gdf.geometry.dropna().empty else None
if first_geom:
geom_type = first_geom.geom_type
else:
geom_type = "Unknown"
else:
geom_type = "Unknown"
# Feature count
feature_count = len(gdf)
# Bounding box [xmin, ymin, xmax, ymax]
if not gdf.empty:
bounds = gdf.total_bounds # [xmin, ymin, xmax, ymax]
bbox = [float(x) for x in bounds]
else:
bbox = [0.0, 0.0, 0.0, 0.0]
manifest.append({
"layer_name": layer_name,
"crs": crs_str,
"geometry_type": geom_type,
"feature_count": feature_count,
"bbox": bbox
})
return manifest
if __name__ == "__main__":
gpkg_file = "vienna_planning.gpkg"
try:
manifest_data = get_manifest(gpkg_file)
with open("manifest.json", "w") as f:
json.dump(manifest_data, f, indent=4)
print("Manifest generated successfully.")
except Exception as e:
print(f"Error: {e}")
Wrote /home/nhp/project/benchmark/harness/.sessions/c0ff2c3bc6764d75bd84a50a95012387/solve.py (2371 chars).
0:29
Write
solve.py
content · 65 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj", "fiona"]
# ///
import geopandas as gpd
import fiona
import json
def get_manifest(gpkg_path):
layers = fiona.listlayers(gpkg_path)
manifest = []
for layer_name in layers:
gdf = gpd.read_file(gpkg_path, layer=layer_name)
# Handle CRS
epsg_code = gdf.crs.to_epsg()
if epsg_code is not None:
crs_str = f"EPSG:{epsg_code}"
else:
# Fallback if EPSG is not directly available via to_epsg
# Often it might be there in the proj4 or wkt
crs_str = str(gdf.crs)
# Try to extract EPSG from CRS if it's not in EPSG:NNNN form
# This is a bit of a hack but let's try to be cleaner
if "EPSG" in crs_str:
import re
match = re.search(r'EPSG[:\s]+(\d+)', crs_str)
if match:
crs_str = f"EPSG:{match.group(1)}"
# Geometry Type
if not gdf.empty:
# Use the type of the first geometry
geom_type = gdf.geometry.iloc[0].geom_type
else:
geom_type = "Unknown"
# Feature Count
feature_count = len(gdf)
# Bounding Box
if not gdf.empty:
bbox = gdf.total_bounds.tolist()
else:
bbox = [0.0, 0.0, 0.0, 0.0]
manifest.append({
"layer_name": layer_name,
"crs": crs_str,
"geometry_type": geom_type,
"feature_count": feature_count,
"bbox": bbox
})
return manifest
if __name__ == "__main__":
gpkg_file = "vienna_planning.gpkg"
manifest_data = get_manifest(gpkg_file)
with open("manifest.json", "w") as f:
json.dump(manifest_data, f, indent=4)
print("Done")
Wrote /home/nhp/project/benchmark/harness/.sessions/c0ff2c3bc6764d75bd84a50a95012387/solve.py (1861 chars).
0:30
Bash
uv run solve.py
Building fiona==1.10.1
× Failed to build `fiona==1.10.1`
├─▶ The build backend returned an error
╰─▶ Call to `setuptools.build_meta.build_wheel` failed (exit status: 1)
[stderr]
WARNING:root:Failed to get options via gdal-config: [Errno 2] No such
file or directory: 'gdal-config'
CRITICAL:root:A GDAL API version must be specified. Provide a path
to gdal-config using a GDAL_CONFIG environment variable or use a
GDAL_VERSION environment variable.
hint: Build failures usually indicate a problem with the package or the build environment
0:39
Write
solve.py
content · 67 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj"]
# ///
import geopandas as gpd
import json
def get_manifest(gpkg_path):
import fiona
# We'll use fiona's listlayers if it's already installed in the environment
# even if it's not explicitly in our dependency list (it's a dependency of geopandas)
layers = fiona.listlayers(gpkg_path)
manifest = []
for layer_name in layers:
gdf = gpd.read_file(gpkg_path, layer=layer_name)
# Get CRS in EPSG:NNNN form
epsg_code = gdf.crs.to_epsg()
if epsg_code is not None:
crs_str = f"EPSG:{epsg_code}"
else:
# If to_epsg fails, try to extract it
crs_str = str(gdf.crs)
import re
match = re.search(r'EPSG[:\s]+(\d+)', crs_str)
if match:
crs_str = f"EPSG:{match.group(1)}"
# Geometry type
if not gdf.empty:
# We want the most representative geometry type (e.g. MultiPolygon -> Polygon? No, instruction says "matching the layer's native type")
# shapely geom_type returns things like 'Polygon', 'MultiPolygon', 'Point', etc.
geom_type = gdf.geometry.iloc[0].geom_type
else:
geom_type = "Unknown"
# Feature count
feature_count = len(gdf)
# Bounding box [xmin, ymin, xmax, ymax]
if not gdf.empty:
bounds = gdf.total_bounds # [xmin, ymin, xmax, ymax]
bbox = [float(x) for x in bounds]
else:
bbox = [0.0, 0.0, 0.0, 0.0]
manifest.append({
"layer_name": layer_name,
"crs": crs_str,
"geometry_type": geom_type,
"feature_count": feature_count,
"bbox": bbox
})
return manifest
if __name__ == "__main__":
gpkg_file = "vienna_planning.gpkg"
manifest_data = get_manifest(gpkg_file)
with open("manifest.json", "w") as f:
json.dump(manifest_data, f, indent=4)
print("Manifest generated successfully.")
Wrote /home/nhp/project/benchmark/harness/.sessions/c0ff2c3bc6764d75bd84a50a95012387/solve.py (2096 chars).
0:40
Bash
uv run solve.py
Installed 10 packages in 75ms
Traceback (most recent call last):
File "/home/nhp/project/benchmark/harness/.sessions/c0ff2c3bc6764d75bd84a50a95012387/solve.py", line 61, in <module>
manifest_data = get_manifest(gpkg_file)
File "/home/nhp/project/benchmark/harness/.sessions/c0ff2c3bc6764d75bd84a50a95012387/solve.py", line 10, in get_manifest
import fiona
ModuleNotFoundError: No module named 'fiona'
0:47
Write
solve.py
content · 38 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj"]
# ///
import geopandas as gpd
import json
import re
def get_manifest(gpkg_path):
# Using geopandas' internal way to list layers if fiona isn't easily installable
# actually, geopandas.read_file doesn't have a list_layers method directly.
# But we can use the engine to find layers.
# Let's try using the engine=pyogrio if available, but first let's check if we can get layers via geopandas itself.
# Another way to list layers in a GPKG is using the engine directly if it is available.
# Since fiona is failing to build, let's try to see if geopandas can do it.
# Wait, I can try to use the 'pyogrio' engine if it is already installed.
# If not, I'll try to use fiona but let's check the error again.
# The error was "Failed to build fiona". This is because it's trying to build from source.
# Let's try to use geopandas to read the file.
# Actually, I'll use a trick: geopandas often uses fiona or pyogrio.
# Let's try to use the fiona-less way if possible.
# Actually, I can just use the engine 'pyogrio' if it's installed.
import fiona # This might fail, but let's see if we can use it if it's already in the environment
# If it's not in the environment, we have a problem.
# But wait, the user is asking me to solve a task. I should be able to do it.
# Let's try to list layers using the pyogrio engine if available,
# or just check the error of the previous attempt.
pass
# Let's try to write a script that doesn't rely on fiona being built.
# Maybe it's already installed in the environment?
Wrote /home/nhp/project/benchmark/harness/.sessions/c0ff2c3bc6764d75bd84a50a95012387/solve.py (1686 chars).
0:48
Bash
pip list | grep -E "fiona|pyogrio|geopandas"
/bin/sh: 1: pip: not found
0:49
Bash
uv run python -c "import geopandas; print(geopandas.__version__)"
Traceback (most recent call last):
File "<string>", line 1, in <module>
import geopandas; print(geopandas.__version__)
^^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'geopandas'
0:50
Bash
uv run python -c "import geopandas; print(geopandas.__version__)"
Traceback (most recent call last):
File "<string>", line 1, in <module>
import geopandas; print(geopandas.__version__)
^^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'geopandas'
0:59
Write
solve.py
content · 63 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj", "pyogrio"]
# ///
import geopandas as gpd
import json
import re
def get_manifest(gpkg_path):
import pyogrio
layers = pyogrio.list_layers(gpkg_path)
manifest = []
for layer_name in layers:
gdf = gpd.read_file(gpkg_path, layer=layer_name, engine="pyogrio")
# Get CRS in EPSG:NNNN form
epsg_code = gdf.crs.to_epsg()
if epsg_code is not None:
crs_str = f"EPSG:{epsg_code}"
else:
crs_str = str(gdf.crs)
match = re.search(r'EPSG[:\s]+(\d+)', crs_str)
if match:
crs_str = f"EPSG:{match.group(1)}"
# Geometry type
if not gdf.empty:
geom_type = gdf.geometry.iloc[0].geom_type
else:
geom_type = "Unknown"
# Feature count
feature_count = len(gdf)
# Bounding box [xmin, ymin, xmax, ymax]
if not gdf.empty:
bounds = gdf.total_bounds # [xmin, ymin, xmax, ymax]
bbox = [float(x) for x in bounds]
else:
bbox = [0.0, 0.0, 0.0, 0.0]
manifest.append({
"layer_name": layer_name,
"crs": crs_str,
"geometry_type": geom_type,
"feature_count": feature_count,
"bbox": bbox
})
return manifest
if __name__ == "__main__":
gpkg_file = "vienna_planning.gpkg"
try:
manifest_data = get_manifest(gpkg_file)
with open("manifest.json", "w") as f:
json.dump(manifest_data, f, indent=4)
print("Manifest generated successfully.")
except Exception as e:
print(f"Error: {e}")
Wrote /home/nhp/project/benchmark/harness/.sessions/c0ff2c3bc6764d75bd84a50a95012387/solve.py (1728 chars).
1:00
Bash
uv run solve.py
Error: 'layer' parameter must be a str or int, got <class 'numpy.ndarray'>
1:09
Write
solve.py
content · 69 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj", "pyogrio"]
# ///
import geopandas as gpd
import json
import re
def get_manifest(gpkg_path):
import pyogrio
layers = pyogrio.list_layers(gpkg_path)
manifest = []
for layer_name in layers:
# layer_name is likely a string or a single-element array
if isinstance(layer_name, (list, type(pyogrio.list_layers(gpkg_path)[0]))):
layer_name = layer_name[0]
gdf = gpd.read_file(gpkg_path, layer=str(layer_name), engine="pyogrio")
# Get CRS in EPSG:NNNN form
epsg_code = gdf.crs.to_epsg()
if epsg_code is not None:
crs_str = f"EPSG:{epsg_code}"
else:
crs_str = str(gdf.crs)
match = re.search(r'EPSG[:\s]+(\d+)', crs_str)
if match:
crs_str = f"EPSG:{match.group(1)}"
# Geometry type
if not gdf.empty:
geom_type = gdf.geometry.iloc[0].geom_type
else:
geom_type = "Unknown"
# Feature count
feature_count = len(gdf)
# Bounding box [xmin, ymin, xmax, ymax]
if not gdf.empty:
bounds = gdf.total_bounds # [xmin, ymin, xmax, ymax]
bbox = [float(x) for x in bounds]
else:
bbox = [0.0, 0.0, 0.0, 0.0]
manifest.append({
"layer_name": str(layer_name),
"crs": crs_str,
"geometry_type": geom_type,
"feature_count": feature_count,
"bbox": bbox
})
return manifest
if __name__ == "__main__":
gpkg_file = "vienna_planning.gpkg"
try:
manifest_data = get_manifest(gpkg_file)
with open("manifest.json", "w") as f:
json.dump(manifest_data, f, indent=4)
print("Manifest generated successfully.")
except Exception as e:
import traceback
traceback.print_exc()
print(f"Error: {e}")
Wrote /home/nhp/project/benchmark/harness/.sessions/c0ff2c3bc6764d75bd84a50a95012387/solve.py (1997 chars).
1:10
Bash
uv run solve.py
Manifest generated successfully.
1:11
Bash
cat manifest.json
[
{
"layer_name": "districts",
"crs": "EPSG:31287",
"geometry_type": "Polygon",
"feature_count": 22,
"bbox": [
623867.3888224852,
481236.5836125494,
626371.3079994549,
484403.7315526943
]
},
{
"layer_name": "parks",
"crs": "EPSG:31287",
"geometry_type": "MultiPolygon",
"feature_count": 119,
"bbox": [
623851.990195953,
481200.6674012489,
626620.9438865517,
485539.3479671855
]
},
{
"layer_name": "waterbodies",
"crs": "EPSG:31287",
"geometry_type": "Polygon",
"feature_count": 33,
"bbox": [
624288.8521056126,
481236.66320640914,
626747.8611584986,
484132.0212685799
]
},
{
"layer_name": "schools",
"crs": "EPSG:31287",
"geometry_type": "Point",
"feature_count": 40,
"bbox": [
624000.002417057,
481214.73871311604,
626259.5421406503,
484178.87865010765
]
},
{
"layer_name": "cafes",
"crs": "EPSG:31287",
"geometry_type": "Point",
"feature_count": 392,
"bbox": [
623796.529863561,
481107.2540129812,
626399.5618121764,
484498.9209005649
]
},
{
"layer_name": "supermarkets",
"crs": "EPSG:31287",
"geometry_type": "Point",
"feature_count": 87,
"bbox": [
623794.0549950565,
481148.38703723426,
626392.6164786755,
484489.91954147833
]
},
{
"layer_name": "cycleway_segments",
"crs": "EPSG:31287",
"geometry_type": "LineString",
"feature_count": 271,
"bbox": [
623787.4932131292,
481134.9325878215,
626619.1631922598,
485245.6624853243
]
}
]
1:22