fio-l3-vienna-geofabrik-highways

Status: failed
Score:
Duration: 4:39
Cost: 0.50¢
Model: google/gemma-4-26b-a4b-it

Map (reference ← swipe → agent)

0:00
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.
0:00
System info
{
  "adapter": "openrouter",
  "model": "google/gemma-4-26b-a4b-it",
  "base_url": "https://openrouter.ai/api/v1"
}
0:00
Bash ls -F
(no output)
0:06
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).
0:07
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)
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0:27
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)