fio-l3-vienna-geofabrik-highways
Map (reference ← swipe → agent)
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I'm building a traffic-noise model of the Gürtel corridor for the City of Vienna and need the surrounding network as a single GeoPackage. Can you pull every highway from the current Geofabrik Austria PBF (https://download.geofabrik.de/europe/austria-latest.osm.pbf) that intersects a 500 m buffer around Vienna's Gürtel, defined as the highway ways whose name ends in 'Gürtel'? I also need every public-transport route relation (bus, tram, subway, train, trolleybus, light_rail) that crosses the same buffer, with each route as a single feature. Keep the OSM attributes full and untruncated: name, highway, maxspeed, lanes, surface, and oneway on highways; ref, name, operator, and route on the PT routes. Please write both layers to vienna_network.gpkg, with the highways layer as LineString and the pt_routes layer as MultiLineString, in Austria's standard projected coordinate system.
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System info
{
"adapter": "openrouter",
"model": "google/gemma-4-26b-a4b-it",
"base_url": "https://openrouter.ai/api/v1"
}
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Bash
ls -F
(no output)
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Write
/work/osm_handler.py
content · 29 lines · py
import osmium
class HighwayFilter(osmium.SimpleMultiplexFilter):
def __init__(self, buffer_geometry):
super().__init__()
self.buffer_geometry = buffer_geometry
self.highways = []
def osmud_way(self, w):
# This is a placeholder; osmium uses specific handlers
pass
# Actually, for OSM PBF processing, we use a Handler
class HighwayHandler(osmium.SimpleHandler):
def __init__(self, buffer_geometry):
super().__init__()
self.buffer_geometry = buffer_geometry
self.highways = []
def way(self, w):
if 'highway' in w.tags:
# We need the geometry. osmium needs a way to get geometry from ways.
# SimpleHandler doesn't provide geometry directly for ways unless we use a specific approach.
pass
# It's better to use osmium to extract all ways and relations and then filter with geopandas/shapely
# but the file is large.
# However, we can use osmium to extract ways with certain tags first.
Wrote /work/osm_handler.py (1011 chars).
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Bash
pip install osmium geopandas shapely pyogrio pyproj
Defaulting to user installation because normal site-packages is not writeable Requirement already satisfied: osmium in /usr/local/lib/python3.14/site-packages (4.3.1) Requirement already satisfied: geopandas in /usr/local/lib/python3.14/site-packages (1.1.3) Requirement already satisfied: shapely in /usr/local/lib/python3.14/site-packages (2.1.2) Requirement already satisfied: pyogrio in /usr/local/lib/python3.14/site-packages (0.12.1) Requirement already satisfied: pyproj in /usr/local/lib/python3.14/site-packages (3.7.2) Requirement already satisfied: requests in /usr/local/lib/python3.14/site-packages (from osmium) (2.34.2) Requirement already satisfied: numpy>=1.24 in /usr/local/lib/python3.14/site-packages (from geopandas) (2.4.6) Requirement already satisfied: packaging in /usr/local/lib/python3.14/site-packages (from geopandas) (26.2) Requirement already satisfied: pandas>=2.0.0 in /usr/local/lib/python3.14/site-packages (from geopandas) (3.0.3) Requirement already satisfied: certifi in /usr/local/lib/python3.14/site-packages (from pyogrio) (2026.5.20) Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.14/site-packages (from pandas>=2.0.0->geopandas) (2.9.0.post0) Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.14/site-packages (from python-dateutil>=2.8.2->pandas>=2.0.0->geopandas) (1.17.0) Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.14/site-packages (from requests->osmium) (3.4.7) Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.14/site-packages (from requests->osmium) (3.18) Requirement already satisfied: urllib3<3,>=1.26 in /usr/local/lib/python3.14/site-packages (from requests->osmium) (2.7.0)
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Write
/work/osm_handler.py
content · 85 lines · py
import os
import requests
import osmium
import geopandas as gpd
from shapely.geometry import LineString, MultiLineString
from shapely.ops import unary_union
import pyproj
from pyproj import Transformer
# Download URL
OSM_URL = "https://download.geofabrik.de/europe/austria-latest.osm.pbf"
OSM_FILE = "austria-latest.osm.pbf"
def download_osm():
if not os.path.exists(OSM_FILE):
print(f"Downloading {OSM_URL}...")
response = requests.get(OSM_URL, stream=True)
response.raise_for_status()
with open(OSM_FILE, 'wb') as f:
for chunk in response.iter_content(chunk_size=8192):
f.write(chunk)
print("Download complete.")
else:
print("OSM file already exists.")
class GürtelHandler(osmium.SimpleHandler):
def __init__(self, buffer_geom):
super().__init__()
self.buffer_geom = buffer_geom
self.guertel_ways = [] # List of (geometry, tags)
self.all_highways = [] # List of (geometry, tags)
self.pt_relations = [] # List of (geometry, tags)
# We need to handle ways and nodes for geometry.
# osmium's SimpleHandler doesn't automatically track all geometries.
# We'll use a more robust approach.
# For simplicity and robustness in a script, let's use a different approach.
# We'll extract everything needed in a more controlled way.
pass
# Since osmium is low-level, let's rethink the strategy.
# 1. Download OSM.
# 2. Use osmium to extract only the ways/relations that we care about.
# But we don't know which ways are "Gürtel" without checking their names.
# And we don't know which PT routes intersect the buffer without the buffer.
# Let's write a custom Osmium handler that:
# 1. Finds all ways where name ends in 'Gürtel' and they are highways.
# 2. Builds a buffer around them.
# 3. Then finds all highways and PT routes intersecting that buffer.
# To do this efficiently, we need two passes or a very clever one.
# Pass 1: Find all "Gürtel" highways to define the buffer.
# Pass 2: Find all highways and PT relations that intersect the buffer.
# Actually, finding "Gürtel" highways requires geometry.
# Osmium needs a LocationContext to resolve ways to geometries.
from osmium import geom
class GürtelFinder(osmium.SimpleHandler):
def __init__(self):
super().__init__()
self.guertel_geoms = []
def way(self, w):
if 'name' in w.tags and w.tags['name'].endswith('Gürtel') and 'highway' in w.tags:
try:
# Get geometry of the way
# Note: osmium's way geometry requires a LocationContext
pass
except:
pass
# Let's use a more direct approach with osmium's reader.
# We'll extract all ways with 'highway' and 'name' to find the Gürtel.
# Then we'll extract all PT relations.
# Actually, the most efficient way in a script like this is to use osmium to
# extract only the necessary elements into a format we can process.
# Let's try to use osmium to get all ways and relations, but that might be too much memory.
# Let's try to find Gürtel first.
Wrote /work/osm_handler.py (3159 chars).
1:08
Write
/work/osm_handler.py
content · 135 lines · py
import os
import requests
import osmium
import geopandas as gpd
from shapely.geometry import LineString, MultiLineString
import pandas as pd
from pyproj import Transformer
# Download URL
OSM_URL = "https://download.geofabrik.de/europe/austria-latest.osm.pbf"
OSM_FILE = "austria-latest.osm.pbf"
def download_osm():
if not os.path.exists(OSM_FILE):
print(f"Downloading {OSM_URL}...")
response = requests.get(OSM_URL, stream=True)
response.raise_for_status()
with open(OSM_FILE, 'wb') as f:
for chunk in response.iter_content(chunk_size=8192):
f.write(chunk)
print("Download complete.")
else:
print("OSM file already exists.")
class GürtelCollector(osmium.SimpleHandler):
def __init__(self):
super().__init__()
self.guertel_ways = []
self.highways = []
self.pt_relations = []
def way(self, w):
# We store all highways to check later, but only if they have 'highway' tag
if 'highway' in w.tags:
# To get geometry, we need to handle this in a way that provides the lines.
# osmium.SimpleHandler.way(self, w) provides the way object.
# To get geometry, we need to use a LocationContext.
pass
# Let's use a better approach. Use osmium to extract ways and relations into a temporary format.
# Or even better, use osmium to extract all ways with 'highway' and all relations with 'route'.
# Since I need to be able to get the geometry of ways and relations (which involve nodes and other ways),
# I will use the 'osmium.geom.WKBFactory' or similar with a 'LocationContext'.
import osmium.geom
class NetworkCollector(osmium.SimpleHandler):
def __init__(self, loc):
super().__init__()
self.loc = loc
self.guertel_ways_geom = []
self.highways_data = []
self.pt_relations_data = []
def way(self, w):
if 'highway' in w.tags:
try:
# Get geometry as a shapely object
# We'll use osmium's geometry tools
# First, get the nodes' coordinates
coords = []
for node in w.nodes:
coords.append((node.location.lon, node.location.lat))
if len(coords) >= 2:
geom = LineString(coords)
tags = {k: v for k, v in w.tags.items()}
# Check if it's a Gürtel
if tags.get('name', '').endswith('Gürtel'):
self.guertel_ways_geom.append(geom)
# Store for second pass (or filtering)
self.highways_data.append({'geometry': geom, 'tags': tags})
except Exception as e:
# Sometimes ways are incomplete or nodes are missing in the context
pass
def relation(self, r):
# PT relations
if 'route' in r.tags:
# PT types: bus, tram, subway, train, trolleybus, light_rail
# These are actually values of 'route' or 'route' tag.
# Actually, the tag is 'route' (e.g., route=bus).
# We need to make sure it's one of the requested types.
route_type = r.tags.get('route')
if route_type in ['bus', 'tram', 'subway', 'train', 'trolleybus', 'light_rail']:
# To get PT route geometry, we need to follow the members.
# This is complex. Osmium handles this via 'osmium.SimpleHandler'
# but constructing the multi-line geometry from a relation is non-trivial.
pass
# Let's rethink. The prompt asks for "every public-transport route relation ... that crosses the same buffer, with each route as a single feature".
# This means I need to resolve the relation to its geometry.
# Actually, there is a simpler way to get the geometry of a relation:
# use osmium's 'osmium.io.Reader' and 'osmium.geom.WKBFactory' with a 'LocationContext'.
# But osmium's relation geometry is still tricky.
# Let's use a simpler approach for the script:
# 1. Find Gürtel ways.
# 2. Define buffer.
# 3. Extract all highways and all PT relations.
# 4. Filter.
# Since I cannot easily get Relation geometry in a simple loop without a full index,
# I'll use a tool if possible, or implement a simplified version.
# Actually, I'll use the 'osmium' library to extract ways and relations.
# For relations, I'll collect the members.
import osmium
import osmium.geom
from shapely.geometry import LineString, MultiLineString
import geopandas as gpd
import pandas as pd
def solve():
download_osm()
# First pass: Find Gürtel geometry
# We need to build a location index first to resolve geometries.
print("Building location index...")
# Note: Building a full index might take a lot of memory/time.
# But for Austria it might be okay.
# However, let's try to use the osmium's built-in geometry handling.
# I will write a script that uses osmium to parse the file.
pass
if __name__ == "__main__":
solve()
Wrote /work/osm_handler.py (5151 chars).
1:44
Write
/work/osm_handler.py
content · 146 lines · py
import os
import requests
import osmium
import osmium.geom
import geopandas as gpd
import pandas as pd
from shapely.geometry import LineString, MultiLineString
from shapely.ops import unary_union
import pyproj
# Download URL
OSM_URL = "https://download.geofabrik.de/europe/austria-latest.osm.pbf"
OSM_FILE = "austria-latest.osm.pbf"
OUTPUT_FILE = "vienna_network.gpkg"
def download_osm():
if not os.path.exists(OSM_FILE):
print(f"Downloading {OSM_URL}...")
response = requests.get(OSM_URL, stream=True)
response.raise_for_status()
with open(OSM_FILE, 'wb') as f:
for chunk in response.iter_content(chunk_size=8192):
f.write(chunk)
print("Download complete.")
else:
print("OSM file already exists.")
class GürtelFinder(osmium.SimpleHandler):
def __init__(self, geom_factory):
super().__init__()
self.geom_factory = geom_factory
self.guertel_geoms = []
def way(self, w):
if 'name' in w.tags and w.tags['name'].endswith('Gürtel') and 'highway' in w.tags:
try:
geom = self.geom_factory.create_geometry(w)
if geom:
self.guertel_geoms.append(geom)
except Exception:
pass
class NetworkExtractor(osmium.SimpleHandler):
def __init__(self, geom_factory, buffer_geom, target_crs):
super().__init__()
self.geom_factory = geom_factory
self.buffer_geom = buffer_geom
self.target_crs = target_crs
self.highways = []
self.pt_routes = []
def way(self, w):
if 'highway' in w.tags:
# Only keep if it intersects the buffer
try:
geom = self.geom_factory.create_geometry(w)
if geom and geom.intersects(self.buffer_geom):
# Keep only requested attributes
tags = w.tags
data = {
'name': tags.get('name'),
'highway': tags.get('highway'),
'maxspeed': tags.get('maxspeed'),
'lanes': tags.get('lanes'),
'surface': tags.get('surface'),
'oneway': tags.get('oneway')
}
self.highways.append({'geometry': geom, 'data': data})
except Exception:
pass
def relation(self, r):
# Check if it's a PT route
route_type = r.tags.get('route')
if route_type in ['bus', 'tram', 'subway', 'train', 'trolleybus', 'light_rail']:
try:
# We need the geometry of the relation.
# osmium's geom_factory.create_geometry(r) handles relations if they are built correctly.
# This requires the handler to have a LocationContext.
geom = self.geom_factory.create_geometry(r)
if geom and geom.intersects(self.buffer_geom):
tags = r.tags
data = {
'ref': tags.get('ref'),
'name': tags.get('name'),
'operator': tags.get('operator'),
'route': tags.get('route')
}
# Ensure it's MultiLineString as requested
if isinstance(geom, LineString):
geom = MultiLineString([geom])
self.pt_routes.append({'geometry': geom, 'data': data})
except Exception:
pass
def main():
download_osm()
# We need to use a LocationContext to resolve geometries
# Since we are processing a large file, we'll use the osmium.SimpleHandler with a location index.
# However, building the index is the hard part.
# Let's use the osmium command line if possible, or do it in Python.
# Actually, let's use a more efficient way to get geometries:
# 1. Extract all ways and relations into a format that includes geometry.
# But wait, we can just use osmium.SimpleHandler and provide the LocationContext.
# To get a LocationContext, we need to build the index.
print("Initializing Osmium Index...")
# For a single file, we can't easily build it in memory if it's too big.
# But Austria is small enough (~150MB).
# Let's use a different approach:
# Use osmium to extract ways and relations with their tags and geometries to a file.
# Or even better, let's do it all in one pass if we can find the buffer first.
# But the buffer depends on the "Gürtel" ways.
# Let's do it in two steps.
# Step 1: Find Gürtel ways.
# Step 2: Build buffer.
# Step 3: Extract highways and PT routes.
# To handle geometries properly, we must use a handler that has access to a location index.
# osmium.SimpleHandler doesn't have it by default, we need to pass it.
# But osmium.SimpleHandler *is* the way to do it. The LocationContext is provided when you call handler.apply(file).
# Wait, osmium.SimpleHandler.apply(file) doesn't take a LocationContext.
# To use geometries, we need a 'osmium.geom.WKBFactory' and we need the handler to be able to access nodes.
# Actually, the standard way is to use osmium.SimpleHandler and then in 'way(self, w)',
# use 'w.nodes' to get the nodes. But 'w.nodes' only works if the nodes are already in the index.
# This is why we need to 'apply' the handler to a file that is loaded with a location index.
# In Python, this is done by:
# index = osmium.index.IdIndex() # or something similar
# But let's try the easiest way: osmium's built-in geometry in SimpleHandler.
# Actually, osmium's SimpleHandler *does* allow access to 'w.nodes' if we use the right approach.
# The 'w.nodes' attribute is only available if we use a handler that has a location context.
# In Python, that means we must use 'osmium.SimpleHandler' and the 'apply' method.
# The 'apply' method will internally build the index if we provide it.
# Let's refine the approach.
pass
if __name__ == "__main__":
main()
Wrote /work/osm_handler.py (6193 chars).
2:30
Write
/work/osm_handler.py
content · 175 lines · py
import os
import requests
import osmium
import osmium.geom
import geopandas as gpd
import pandas as pd
from shapely.geometry import LineString, MultiLineString
import pyproj
# Download URL
OSM_URL = "https://download.geofabrik.de/europe/austria-latest.osm.pbf"
OSM_FILE = "austria-latest.osm.pbf"
OUTPUT_FILE = "vienna_network.gpkg"
# Austria Standard Projected CRS (EPSG:31286 - MGI / Austria GK East is common,
# but let's check for the standard one. EPSG:31286 is Gauss-Krüger.
# For Vienna, EPSG:31286 or a UTM zone is common.
# Let's use EPSG:31286 (MGI / Austria GK East) or EPSG:32633 (WGS 84 / UTM zone 33N).
# The prompt says "Austria's standard projected coordinate system".
# EPSG:31286 is a very standard one for Austria.
TARGET_CRS = "EPSG:31286"
def download_osm():
if not os.path.exists(OSM_FILE):
print(f"Downloading {OSM_URL}...")
response = requests.get(OSM_URL, stream=True)
response.raise_for_status()
with open(OSM_FILE, 'wb') as f:
for chunk in response.iter_content(chunk_size=8192):
f.write(chunk)
print("Download complete.")
else:
print("OSM file already exists.")
class GürtelFinder(osmium.SimpleHandler):
def __init__(self, geom_factory):
super().__init__()
self.geom_factory = geom_factory
self.guertel_geoms = []
def way(self, w):
if 'name' in w.tags and w.tags['name'].endswith('Gürtel') and 'highway' in w.tags:
try:
geom = self.geom_factory.create_geometry(w)
if geom:
self.guertel_geoms.append(geom)
except Exception:
pass
class NetworkExtractor(osmium.SimpleHandler):
def __init__(self, geom_factory, buffer_geom):
super().__init__()
self.geom_factory = geom_factory
self.buffer_geom = buffer_geom
self.highways = []
self.pt_routes = []
def way(self, w):
if 'highway' in w.tags:
try:
geom = self.geom_factory.create_geometry(w)
if geom and geom.intersects(self.buffer_geom):
tags = w.tags
data = {
'name': tags.get('name'),
'highway': tags.get('highway'),
'maxspeed': tags.get('maxspeed'),
'lanes': tags.get('lanes'),
'surface': tags.get('surface'),
'oneway': tags.get('oneway')
}
self.highways.append({'geometry': geom, 'data': data})
except Exception:
pass
def relation(self, r):
route_type = r.tags.get('route')
if route_type in ['bus', 'tram', 'subway', 'train', 'trolleybus', 'light_rail']:
try:
geom = self.geom_factory.create_geometry(r)
if geom and geom.intersects(self.buffer_geom):
tags = r.tags
data = {
'ref': tags.get('ref'),
'name': tags.get('name'),
'operator': tags.get('operator'),
'route': tags.get('route')
}
# Ensure MultiLineString
if isinstance(geom, LineString):
geom = MultiLineString([geom])
self.pt_routes.append({'geometry': geom, 'data': data})
except Exception:
pass
def main():
download_osm()
geom_factory = osmium.geom.WKBFactory()
print("Step 1: Finding Gürtel ways...")
finder = GürtelFinder(geom_factory)
finder.apply(OSM_FILE)
if not finder.guertel_geoms:
print("No Gürtel ways found!")
return
# Combine all Gürtel ways to create the buffer
guertel_union = unary_union(finder.guertel_geoms)
# We need to do the buffer in a projected CRS.
# First, create a GeoSeries in WGS84.
gs_guertel = gpd.GeoSeries(guertel_union, crs="EPSG:4326")
# Transform to target CRS
gs_guertel_projected = gs_guertel.to_crs(TARGET_CRS)
# Buffer by 500m
buffer_geom = gs_guertel_projected.buffer(500).iloc[0]
# The buffer is in target CRS. The extraction will also be in target CRS.
# But the extraction happens on WGS84 geometries from OSM.
# We need to handle the intersection carefully.
# Let's transform the buffer back to WGS84 for the intersection check in the handler,
# or transform everything to target CRS.
# Transforming everything to target CRS inside the handler for every way might be slow.
# Better: Transform buffer to WGS84 and use it for intersection check.
gs_buffer_wgs84 = gpd.GeoSeries([buffer_geom], crs=TARGET_CRS).to_crs("EPSG:4326")
buffer_geom_wgs84 = gs_buffer_wgs84.iloc[0]
print("Step 2: Extracting networks...")
extractor = NetworkExtractor(geom_factory, buffer_geom_wgs84)
extractor.apply(OSM_FILE)
print(f"Found {len(extractor.highways)} highways and {len(extractor.pt_routes)} PT routes.")
# Process highways
if extractor.highways:
hw_geoms = [h['geometry'] for h in extractor.highways]
hw_data = [h['data'] for h in extractor.highways]
gdf_hw = gpd.GeoDataFrame(hw_data, geometry=hw_geoms, crs="EPSG:4326")
gdf_hw = gdf_hw.to_crs(TARGET_CRS)
# Ensure LineString
# (osmium create_geometry for ways is usually LineString)
else:
gdf_hw = gpd.GeoDataFrame(columns=['name', 'highway', 'maxspeed', 'lanes', 'surface', 'oneway'], geometry='geometry', crs=TARGET_CRS)
# Process PT routes
if extractor.pt_routes:
pt_geoms = [r['geometry'] for r in extractor.pt_routes]
pt_data = [r['data'] for r in extractor.pt_routes]
gdf_pt = gpd.GeoDataFrame(pt_data, geometry=pt_geoms, crs="EPSG:4326")
gdf_pt = gdf_pt.to_crs(TARGET_CRS)
else:
gdf_pt = gpd.GeoDataFrame(columns=['ref', 'name', 'operator', 'route'], geometry='geometry', crs=TARGET_CRS)
# Write to GeoPackage
print(f"Writing to {OUTPUT_FILE}...")
with pd.ExcelWriter(OUTPUT_FILE) as writer: # This is a mistake, use geopandas
pass
# Correct way to write multiple layers to GeoPackage
import fiona
fiona.supported_drivers['GPKG'] = 'GPKG'
gdf_hw.to_file(OUTPUT_FILE, layer='highways', driver='GPKG')
gdf_pt.to_file(OUTPUT_FILE, layer='pt_routes', driver='GPKG')
print("Done!")
from shapely.ops import unary_union
if __name__ == "__main__":
main()
Wrote /work/osm_handler.py (6646 chars).
3:18
Edit
missing or non-string argument: 'file_path'
3:58
Edit
Invalid JSON arguments: Unterminated string starting at: line 1 column 2926 (char 2925)