dd-l1-vienna-gpkg-manifest
Map (reference ← swipe → agent)
0:00
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.
0:00
System info
{
"adapter": "openrouter",
"model": "google/gemma-4-26b-a4b-it",
"base_url": "https://openrouter.ai/api/v1"
}
0:00
Bash
ls -R
.: vienna_planning.gpkg
0:06
Write
solve.py
content · 90 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj", "fiona"]
# ///
import geopandas as gpd
import json
import fiona
def get_epsg(crs):
if crs is None:
return "Unknown"
try:
# Attempt to get the EPSG code directly if it's a CRS object or string
return crs.to_epsg()
except Exception:
# If it's a string or doesn't have to_epsg, we might need a different approach
# For simplicity, let's try a more robust way to extract EPSG
try:
from pyproj import CRS
c = CRS.from_user_input(crs)
return f"EPSG:{c.to_epsg()}"
except Exception:
return str(crs)
def main():
gpkg_path = 'vienna_planning.gpkg'
layers = fiona.listlayers(gpkg_path)
manifest = []
for layer_name in layers:
gdf = gpd.read_file(gpkg_path, layer=layer_name)
# layer_name
name = layer_name
# crs
# Ensure it's in EPSG:NNNN form
epsg_code = "Unknown"
if gdf.crs is not None:
try:
epsg_code = f"EPSG:{gdf.crs.to_epsg()}"
except Exception:
# Fallback if to_epsg() fails
try:
from pyproj import CRS
c = CRS.from_user_input(gdf.crs)
if c.to_epsg():
epsg_code = f"EPSG:{c.to_epsg()}"
else:
epsg_code = str(gdf.crs)
except:
epsg_code = str(gdf.crs)
# geometry_type
# Check the actual geometry type of the first feature if possible,
# or use the layer's type.
# The requirement says "matching the layer's native type".
# Most GeoPandas geometric types are things like 'Point', 'LineString', 'Polygon', 'MultiPolygon'.
# We can infer this from the geometry column.
if not gdf.empty:
geom_type = gdf.geometry.type.iloc[0]
else:
# If empty, we still need to know the type. We can get it from fiona.
with fiona.open(gpkg_path, layer=layer_name) as src:
geom_type = src.schema['geometry']
# fiona might return 'Polygon' or 'MultiPolygon'
# Ensure it matches common types if needed, but usually it does.
# feature_count
count = len(gdf)
# bbox [xmin, ymin, xmax, ymax] in native CRS
# gdf.total_bounds returns [minx, miny, maxx, maxy]
bbox = gdf.total_bounds.tolist()
manifest.append({
"layer_name": name,
"crs": epsg_code,
"geometry_type": geom_type,
"feature_count": count,
"bbox": bbox
})
with open('manifest.json', 'w') as f:
json.dump(manifest, f, indent=4)
if __name__ == "__main__":
main()
Wrote /home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py (2906 chars).
0:07
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
0:13
Write
solve.py
content · 77 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj", "fiona"]
# ///
import geopandas as gpd
import json
import fiona
from pyproj import CRS
def get_epsg_string(gdf_crs):
if gdf_crs is None:
return "Unknown"
try:
# Using pyproj's CRS to handle different CRS input types
c = CRS.from_user_input(gdf_crs)
epsg = c.to_epsg()
if epsg:
return f"EPSG:{epsg}"
else:
# If no EPSG, return the string representation of the CRS
return str(c)
except Exception:
return str(gdf_crs)
def main():
gpkg_path = 'vienna_planning.gpkg'
# List layers using fiona directly to avoid heavy dependencies if possible
# but fiona is already in dependencies.
layers = fiona.listlayers(gpkg_path)
manifest = []
for layer_name in layers:
# Read the layer
gdf = gpd.read_file(gpkg_path, layer=layer_name)
# layer_name
name = layer_name
# crs
epsg_code = get_epsg_string(gdf.crs)
# geometry_type
# The requirement asks for "matching the layer's native type (e.g. Point, LineString, Polygon, MultiPolygon)"
# geopandas .geometry.type returns these strings.
if not gdf.empty:
# We take the type of the first non-null geometry if available
# or simply use the collection type if it's a single type layer.
# Most GPKG layers are homogeneous.
geom_type = gdf.geometry.type.iloc[0]
else:
# For empty layers, get type from fiona metadata
with fiona.open(gpkg_path, layer=layer_name) as src:
geom_type = src.schema['geometry']
# feature_count
count = len(gdf)
# bbox [xmin, ymin, xmax, ymax] in native CRS
# gdf.total_bounds returns [minx, miny, maxx, maxy]
bbox = gdf.total_bounds.tolist()
manifest.append({
"layer_name": name,
"crs": epsg_code,
"geometry_type": geom_type,
"feature_count": count,
"bbox": bbox
})
with open('manifest.json', 'w') as f:
json.dump(manifest, f, indent=4)
if __name__ == "__main__":
main()
Wrote /home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py (2286 chars).
0:18
Write
solve.py
content · 67 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj"]
# ///
import geopandas as gpd
import json
from pyproj import CRS
def get_epsg_string(gdf_crs):
if gdf_crs is None:
return "Unknown"
try:
c = CRS.from_user_input(gdf_crs)
epsg = c.to_epsg()
if epsg:
return f"EPSG:{epsg}"
else:
return str(c)
except Exception:
return str(gdf_crs)
def main():
gpkg_path = 'vienna_planning.gpkg'
# Use geopandas to get layer names by reading the driver info or similar
# but geopandas doesn't have a direct 'list layers' method without fiona.
# However, we can use the driver and the fact that geopandas uses fiona.
# Let's try to use geopandas to discover layers by inspecting the file.
import fiona
layers = fiona.listlayers(gpkg_path)
manifest = []
for layer_name in layers:
gdf = gpd.read_file(gpkg_path, layer=layer_name)
name = layer_name
epsg_code = get_epsg_string(gdf.crs)
if not gdf.empty:
# Get the geometry type of the first non-null geometry
# If it's a mixed geometry layer (rare in GPKG), we just take the first.
geom_type = gdf.geometry.type.iloc[0]
else:
# If empty, get type from fiona
with fiona.open(gpkg_path, layer=layer_name) as src:
geom_type = src.schema['geometry']
count = len(gdf)
bbox = gdf.total_bounds.tolist()
manifest.append({
"layer_name": name,
"crs": epsg_code,
"geometry_type": geom_type,
"feature_count": count,
"bbox": bbox
})
with open('manifest.json', 'w') as f:
json.dump(manifest, f, indent=4)
if __name__ == "__main__":
main()
Wrote /home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py (1868 chars).
0:25
Write
solve.py
content · 58 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj", "fiona-binary"]
# ///
import geopandas as gpd
import json
import fiona
from pyproj import CRS
def get_epsg_string(gdf_crs):
if gdf_crs is None:
return "Unknown"
try:
c = CRS.from_user_input(gdf_crs)
epsg = c.to_epsg()
if epsg:
return f"EPSG:{epsg}"
else:
return str(c)
except Exception:
return str(gdf_crs)
def main():
gpkg_path = 'vienna_planning.gpkg'
layers = fiona.listlayers(gpkg_path)
manifest = []
for layer_name in layers:
gdf = gpd.read_file(gpkg_path, layer=layer_name)
name = layer_name
epsg_code = get_epsg_string(gdf.crs)
if not gdf.empty:
geom_type = gdf.geometry.type.iloc[0]
else:
with fiona.open(gpkg_path, layer=layer_name) as src:
geom_type = src.schema['geometry']
count = len(gdf)
bbox = gdf.total_bounds.tolist()
manifest.append({
"layer_name": name,
"crs": epsg_code,
"geometry_type": geom_type,
"feature_count": count,
"bbox": bbox
})
with open('manifest.json', 'w') as f:
json.dump(manifest, f, indent=4)
if __name__ == "__main__":
main()
Wrote /home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py (1366 chars).
0:31
Write
solve.py
content · 76 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj"]
# ///
import geopandas as gpd
import json
from pyproj import CRS
import fiona
def get_epsg_string(gdf_crs):
if gdf_crs is None:
return "Unknown"
try:
c = CRS.from_user_input(gdf_crs)
epsg = c.to_epsg()
if epsg:
return f"EPSG:{epsg}"
else:
return str(c)
except Exception:
return str(gdf_crs)
def main():
gpkg_path = 'vienna_planning.gpkg'
# We will use fiona directly to list layers to avoid potential dependency issues if possible,
# but since geopandas is required, we might as well use fiona via geopandas' dependency.
# However, since fiona failed to build earlier, let's check if geopandas works alone.
# Geopandas uses fiona/pyogrio internally.
try:
layers = fiona.listlayers(gpkg_path)
except Exception as e:
# If fiona is failing, we might need to use another way.
# But let's try to see if we can just use geopandas if it's available.
# Actually, the previous error was a build error for fiona.
# Let's try to see what's available.
print(f"Error listing layers: {e}")
return
manifest = []
for layer_name in layers:
gdf = gpd.read_file(gpkg_path, layer=layer_name)
name = layer_name
epsg_code = get_epsg_string(gdf.crs)
if not gdf.empty:
geom_type = gdf.geometry.type.iloc[0]
else:
# Try to get type from fiona if gdf is empty
try:
with fiona.open(gpkg_path, layer=layer_name) as src:
geom_type = src.schema['geometry']
except:
geom_type = "Unknown"
count = len(gdf)
bbox = gdf.total_bounds.tolist()
manifest.append({
"layer_name": name,
"crs": epsg_code,
"geometry_type": geom_type,
"feature_count": count,
"bbox": bbox
})
with open('manifest.json', 'w') as f:
json.dump(manifest, f, indent=4)
if __name__ == "__main__":
main()
Wrote /home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py (2181 chars).
0:32
Bash
uv run solve.py
Installed 10 packages in 107ms
Traceback (most recent call last):
File "/home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py", line 9, in <module>
import fiona
ModuleNotFoundError: No module named 'fiona'
0:45
Write
solve.py
content · 126 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj"]
# ///
import geopandas as gpd
import json
from pyproj import CRS
def get_epsg_string(gdf_crs):
if gdf_crs is None:
return "Unknown"
try:
c = CRS.from_user_input(gdf_crs)
epsg = c.to_epsg()
if epsg:
return f"EPSG:{epsg}"
else:
return str(c)
except Exception:
return str(gdf_crs)
def main():
gpkg_path = 'vienna_planning.gpkg'
# Since fiona is problematic, let's try to use geopandas's ability to read layers
# but geopandas doesn't provide a direct way to list all layers without fiona.
# Let's try to use the pyogrio engine if available, or just try to guess if there's another way.
# Actually, let's try to use a python library that might be more easily installable.
# Wait, I can try to use the 'pyogrio' engine in geopandas if it's installed.
# Let's try to use the 'pyogrio' engine which is often faster and might be easier to install.
# But I don't know if it's there.
# Alternative: use the fact that we can try reading layers by index if we knew how many there are.
# But we don't.
# Let's try to use 'fiona' again but with a different approach if possible,
# or check if 'pyogrio' is an option.
# Actually, I'll try to see if I can use a simple approach to list layers.
# How about we use 'geopandas' to read all layers by trying to catch errors? No, that's bad.
# Let's try to use the 'pyogrio' engine.
import subprocess
# Try to get layers using a subprocess call to ogrinfo if it's available
try:
result = subprocess.run(['ogrinfo', '-so', gpkg_path], capture_output=True, text=True)
if result.returncode == 0:
lines = result.stdout.split('\n')
layers = []
for line in lines:
if 'Layer name:' in line:
layers.append(line.split('Layer name:')[1].strip())
if layers:
print(f"Found layers using ogrinfo: {layers}")
else:
print("ogrinfo found no layers.")
else:
print(f"ogrinfo failed: {result.stderr}")
except Exception as e:
print(f"ogrinfo call failed: {e}")
# Actually, let's try to use the subprocess to get layers and then use geopandas to read them.
import subprocess
try:
result = subprocess.run(['ogrinfo', '-so', gpkg_path], capture_output=True, text=True)
layers = []
if result.returncode == 0:
for line in result.stdout.split('\n'):
if 'Layer name:' in line:
layers.append(line.split('Layer name:')[1].strip())
if not layers:
# Fallback: try to use a different ogrinfo command
result = subprocess.run(['ogrinfo', gpkg_path], capture_output=True, text=True)
for line in result.stdout.split('\n'):
if 'Layer name:' in line:
layers.append(line.split('Layer name:')[1].strip())
except Exception as e:
print(f"Error using ogrinfo: {e}")
layers = []
if not layers:
# If ogrinfo failed, we are stuck. But let's assume it works in this environment.
return
manifest = []
for layer_name in layers:
try:
gdf = gpd.read_file(gpkg_path, layer=layer_name)
name = layer_name
epsg_code = get_epsg_string(gdf.crs)
if not gdf.empty:
geom_type = gdf.geometry.type.iloc[0]
else:
# If empty, we can't easily get the type from gdf.
# We'll use ogrinfo output to find the geometry type.
geom_type = "Unknown"
# This is a bit of a hack, but we can try to find it in the ogrinfo output for this layer
# but that's complex. Let's just skip or put Unknown.
count = len(gdf)
bbox = gdf.total_bounds.tolist()
manifest.append({
"layer_name": name,
"crs": epsg_code,
"geometry_type": geom_type,
"feature_count": count,
"bbox": bbox
})
except Exception as e:
print(f"Error reading layer {layer_name}: {e}")
with open('manifest.json', 'w') as f:
json.dump(manifest, f, indent=4)
if __name__ == "__main__":
main()
Wrote /home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py (4529 chars).
0:46
Bash
uv run solve.py
ogrinfo call failed: [Errno 2] No such file or directory: 'ogrinfo' Error using ogrinfo: [Errno 2] No such file or directory: 'ogrinfo'
0:56
Write
solve.py
content · 86 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj", "fiona"]
# ///
import geopandas as gpd
import json
import fiona
from pyproj import CRS
def get_epsg_string(gdf_crs):
if gdf_crs is None:
return "Unknown"
try:
c = CRS.from_user_input(gdf_crs)
epsg = c.to_epsg()
if epsg:
return f"EPSG:{epsg}"
else:
return str(c)
except Exception:
return str(gdf_crs)
def main():
gpkg_path = 'vienna_planning.gpkg'
# Let's try to use fiona again, but maybe it can be installed if I declare it correctly.
# Actually, the previous error was "Failed to build fiona==1.10.1".
# This usually means it's trying to compile from source and failing because of missing system libraries.
# Let's try to see if there's another way.
# What if I use 'pyogrio' instead?
try:
import pyogrio
layers = pyogrio.list_layers(gpkg_path)
except ImportError:
# If pyogrio is not available, try fiona
try:
layers = fiona.listlayers(gpkg_path)
except Exception as e:
# If both fail, let's try a very desperate measure:
# use geopandas to read layers one by one if we can find their names.
# But we can't find their names.
print(f"Could not list layers: {e}")
return
manifest = []
for layer_name in layers:
try:
# Use pyogrio if available, otherwise geopandas (which uses fiona/pyogrio)
gdf = gpd.read_file(gpkg_path, layer=layer_name)
name = layer_name
epsg_code = get_epsg_string(gdf.crs)
if not gdf.empty:
# Get the geometry type of the first non-null geometry
geom_type = gdf.geometry.type.iloc[0]
else:
# If empty, try to get type from fiona if available
try:
with fiona.open(gpkg_path, layer=layer_name) as src:
geom_type = src.schema['geometry']
except:
geom_type = "Unknown"
count = len(gdf)
bbox = gdf.total_bounds.tolist()
manifest.append({
"layer_name": name,
"crs": epsg_code,
"geometry_type": geom_type,
"feature_count": count,
"bbox": bbox
})
except Exception as e:
print(f"Error reading layer {layer_name}: {e}")
with open('manifest.json', 'w') as f:
json.dump(manifest, f, indent=4)
if __name__ == "__main__":
main()
Wrote /home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py (2691 chars).
0:56
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
1:04
Write
solve.py
content · 69 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj", "pyogrio"]
# ///
import geopandas as gpd
import json
import pyogrio
from pyproj import CRS
def get_epsg_string(gdf_crs):
if gdf_crs is None:
return "Unknown"
try:
c = CRS.from_user_input(gdf_crs)
epsg = c.to_epsg()
if epsg:
return f"EPSG:{epsg}"
else:
return str(c)
except Exception:
return str(gdf_crs)
def main():
gpkg_path = 'vienna_planning.gpkg'
try:
layers = pyogrio.list_layers(gpkg_path)
except Exception as e:
print(f"Error listing layers: {e}")
return
manifest = []
for layer_name in layers:
try:
# Using pyogrio engine directly in geopandas
gdf = gpd.read_file(gpkg_path, layer=layer_name, engine="pyogrio")
name = layer_name
epsg_code = get_epsg_string(gdf.crs)
if not gdf.empty:
geom_type = gdf.geometry.type.iloc[0]
else:
# If empty, try to get type from pyogrio metadata
# This is a bit tricky, but let's try to get the geometry type from the layer metadata
meta = pyogrio.read_info(gpkg_path, layer=layer_name)
geom_type = meta['geometry_type']
count = len(gdf)
bbox = gdf.total_bounds.tolist()
manifest.append({
"layer_name": name,
"crs": epsg_code,
"geometry_type": geom_type,
"feature_count": count,
"bbox": bbox
})
except Exception as e:
print(f"Error reading layer {layer_name}: {e}")
with open('manifest.json', 'w') as f:
json.dump(manifest, f, indent=4)
if __name__ == "__main__":
main()
Wrote /home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py (1886 chars).
1:05
Bash
uv run solve.py
Error reading layer ['districts' 'Polygon']: 'layer' parameter must be a str or int, got <class 'numpy.ndarray'> Error reading layer ['parks' 'MultiPolygon']: 'layer' parameter must be a str or int, got <class 'numpy.ndarray'> Error reading layer ['waterbodies' 'Polygon']: 'layer' parameter must be a str or int, got <class 'numpy.ndarray'> Error reading layer ['schools' 'Point']: 'layer' parameter must be a str or int, got <class 'numpy.ndarray'> Error reading layer ['cafes' 'Point']: 'layer' parameter must be a str or int, got <class 'numpy.ndarray'> Error reading layer ['supermarkets' 'Point']: 'layer' parameter must be a str or int, got <class 'numpy.ndarray'> Error reading layer ['cycleway_segments' 'LineString']: 'layer' parameter must be a str or int, got <class 'numpy.ndarray'>
1:12
Write
solve.py
content · 83 lines · py
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyproj", "pyogrio"]
# ///
import geopandas as gpd
import json
import pyogrio
from pyproj import CRS
def get_epsg_string(gdf_crs):
if gdf_crs is None:
return "Unknown"
try:
c = CRS.from_user_input(gdf_crs)
epsg = c.to_epsg()
if epsg:
return f"EPSG:{epsg}"
else:
return str(c)
except Exception:
return str(gdf_crs)
def main():
gpkg_path = 'vienna_planning.gpkg'
try:
# pyogrio.list_layers might return a list of arrays if the output is strange?
# Let's check what it actually returns.
raw_layers = pyogrio.list_layers(gpkg_path)
print(f"Raw layers: {raw_layers}")
# It seems it's returning an array of [name, type] pairs based on the error message.
# Let's fix it.
layers = []
for item in raw_layers:
if isinstance(item, (list, tuple, type(raw_layers[0]))): # if it's a list-like
# Actually the error said: Error reading layer ['districts' 'Polygon']
# This means 'layer_name' was ['districts' 'Polygon']
# So raw_layers is likely something like [['districts', 'Polygon'], ['parks', 'MultiPolygon'], ...]
# OR it's a numpy array of shape (N, 2)
layers.append(item[0])
else:
layers.append(item)
except Exception as e:
print(f"Error listing layers: {e}")
return
manifest = []
for layer_name in layers:
try:
gdf = gpd.read_file(gpkg_path, layer=layer_name, engine="pyogrio")
name = layer_name
epsg_code = get_epsg_string(gdf.crs)
if not gdf.empty:
geom_type = gdf.geometry.type.iloc[0]
else:
meta = pyogrio.read_info(gpkg_path, layer=layer_name)
geom_type = meta['geometry_type']
count = len(gdf)
bbox = gdf.total_bounds.tolist()
manifest.append({
"layer_name": name,
"crs": epsg_code,
"geometry_type": geom_type,
"feature_count": count,
"bbox": bbox
})
except Exception as e:
print(f"Error reading layer {layer_name}: {e}")
with open('manifest.json', 'w') as f:
json.dump(manifest, f, indent=4)
if __name__ == "__main__":
main()
Wrote /home/nhp/project/benchmark/harness/.sessions/ed40eb56c334468fb45e266a48b58f89/solve.py (2556 chars).
1:32
Bash
uv run solve.py
Raw layers: [['districts' 'Polygon'] ['parks' 'MultiPolygon'] ['waterbodies' 'Polygon'] ['schools' 'Point'] ['cafes' 'Point'] ['supermarkets' 'Point'] ['cycleway_segments' 'LineString']]
1:33
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
]
}
]
1:34
Bash
rm solve.py
(no output)
1:48