- prepare.py: merge per-mode OSM lines, resolve colours (GTFS route_color -> OSM colour tag -> keyed palette, robust to pd.NA), categorise buses (A/C/S/regular via regex), clip lines+stops to area, write master.gpkg layers (lines/stops/stations) - download_osm.py: add stations query (public_transport=station / railway=station nodes+areas, out center) -> stations.gpkg with proper human-readable names + subway/light_rail mode tags for labelling - verified: 135 lines (8 metro/16 s-tog/28 regional/83 bus), 90 named stations, zero NaN colours
216 lines
7.1 KiB
Python
216 lines
7.1 KiB
Python
#!/usr/bin/env python3
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"""Download transit route lines + stops from Overpass, per mode.
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For each mode in config/modes.yaml, runs an Overpass query (with mirror
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fallback + exponential backoff) and writes:
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data/raw/osm/{mode}.gpkg (layers: "lines", "stops", EPSG:4326)
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data/raw/osm/{mode}.overpassql (the exact query text)
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Lines: one MultiLineString per route relation (concatenation of member way
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geometries), carrying ref/name/network/colour/operator/route/mode tags.
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Stops: one Point per stop/platform node member, carrying ref/name/mode.
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"""
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import sys
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import time
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from pathlib import Path
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import geopandas as gpd
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import requests
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import yaml
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from shapely.geometry import LineString, MultiLineString, Point
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from _common import CONFIG, OSM_RAW, PROCESSED, UA
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MIRRORS = [
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"https://overpass-api.de/api/interpreter",
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"https://overpass.kumi.systems/api/interpreter",
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"https://overpass.private.coffee/api/interpreter",
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]
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PLATFORM_ROLES = {"platform", "platform_entry", "platform_exit"}
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STOP_ROLES = {"stop", "stop_entry", "stop_exit", "platform", "platform_entry", "platform_exit"}
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def build_query(mode_cfg, bbox):
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s, n, w, e = bbox
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filters = []
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for k, v in mode_cfg["osm"].items():
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if k.endswith("_neq"):
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filters.append(f'["{k[:-4]}"!="{v}"]')
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else:
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filters.append(f'["{k}"="{v}"]')
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filt = "".join(filters)
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return f"""[out:json][timeout:180];
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relation{filt}({s},{w},{n},{e});
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out geom;
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>;
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out body qt;
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"""
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def overpass(ql):
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last_err = None
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for mi, mirror in enumerate(MIRRORS):
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for attempt in range(4):
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try:
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r = requests.post(
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mirror,
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data={"data": ql},
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headers={"User-Agent": UA},
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timeout=300,
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)
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if r.status_code == 429 or r.status_code >= 500:
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raise RuntimeError(f"HTTP {r.status_code}")
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r.raise_for_status()
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return r.json()
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except Exception as e:
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last_err = e
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wait = 2 ** (attempt + mi)
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print(f" [{mirror}] attempt {attempt+1} failed: {e}; retry in {wait}s", flush=True)
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time.sleep(wait)
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raise RuntimeError(f"all mirrors failed: {last_err}")
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def parse(data, mode):
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nodes = {}
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for e in data["elements"]:
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if e["type"] == "node":
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nodes[e["id"]] = e
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lines, stops = [], []
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stop_seen = set()
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for e in data["elements"]:
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if e["type"] != "relation" or "tags" not in e:
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continue
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tags = e["tags"]
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if tags.get("route") is None:
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continue
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segs = []
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for m in e["members"]:
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if m["type"] == "way" and "geometry" in m and m.get("role") not in PLATFORM_ROLES:
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coords = [(g["lon"], g["lat"]) for g in m["geometry"]]
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if len(coords) >= 2:
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segs.append(LineString(coords))
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geom = MultiLineString(segs) if len(segs) > 1 else (segs[0] if segs else None)
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if geom is None:
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continue
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lines.append({
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"mode": mode,
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"ref": tags.get("ref"),
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"name": tags.get("name"),
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"network": tags.get("network"),
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"colour": tags.get("colour"),
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"operator": tags.get("operator"),
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"route": tags.get("route"),
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"geometry": geom,
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})
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for m in e["members"]:
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if m["type"] != "node" or m.get("role") not in STOP_ROLES:
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continue
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nid = m["ref"]
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if nid not in nodes or nid in stop_seen:
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continue
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nd = nodes[nid]
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if "lat" not in nd or "lon" not in nd:
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continue
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stop_seen.add(nid)
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ntags = nd.get("tags", {})
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stops.append({
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"mode": mode,
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"name": ntags.get("name") or ntags.get("public_transport") or "stop",
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"ref": ntags.get("ref"),
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"public_transport": ntags.get("public_transport"),
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"railway": ntags.get("railway"),
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"geometry": Point(nd["lon"], nd["lat"]),
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})
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return lines, stops
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def stations_query(bbox):
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s, n, w, e = bbox
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return f"""[out:json][timeout:180];
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(
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node["railway"="station"]({s},{w},{n},{e});
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node["public_transport"="station"]({s},{w},{n},{e});
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way["railway"="station"]({s},{w},{n},{e});
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way["public_transport"="station"]({s},{w},{n},{e});
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);
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out center;
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"""
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def parse_stations(data):
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"""Stations (nodes or area centroids) with proper human-readable names."""
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rows = []
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seen = set()
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for e in data["elements"]:
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if e["type"] not in ("node", "way"):
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continue
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tags = e.get("tags", {})
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name = tags.get("name")
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if not name:
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continue
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if e["type"] == "node":
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geom = Point(e["lon"], e["lat"])
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else:
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c = e.get("center")
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if not c:
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continue
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geom = Point(c["lon"], c["lat"])
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key = (name, round(geom.x, 5), round(geom.y, 5))
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if key in seen:
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continue
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seen.add(key)
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rows.append({
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"name": name,
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"railway": tags.get("railway"),
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"public_transport": tags.get("public_transport"),
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"station": tags.get("station"),
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"subway": tags.get("subway"),
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"light_rail": tags.get("light_rail"),
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"train": tags.get("train"),
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"uic_ref": tags.get("uic_ref"),
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"geometry": geom,
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})
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return rows
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def main():
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modes = yaml.safe_load((CONFIG / "modes.yaml").read_text())["modes"]
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area = gpd.read_file(PROCESSED / "area.gpkg")
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w, s, e, n = area.total_bounds # (minx, miny, maxx, maxy) = (west, south, east, north)
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bbox = (s, n, w, e)
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OSM_RAW.mkdir(parents=True, exist_ok=True)
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for mode, cfg in modes.items():
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ql = build_query(cfg, bbox)
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(OSM_RAW / f"{mode}.overpassql").write_text(ql)
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print(f"[{mode}] querying Overpass bbox=({s:.4f},{w:.4f},{n:.4f},{e:.4f})...", flush=True)
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data = overpass(ql)
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lines, stops = parse(data, mode)
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print(f" -> {len(lines)} lines, {len(stops)} stops", flush=True)
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if not lines:
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continue
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lgdf = gpd.GeoDataFrame(lines, crs="EPSG:4326")
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lgdf.to_file(OSM_RAW / f"{mode}.gpkg", driver="GPKG", layer="lines")
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if stops:
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sgdf = gpd.GeoDataFrame(stops, crs="EPSG:4326")
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sgdf.to_file(OSM_RAW / f"{mode}.gpkg", driver="GPKG", layer="stops")
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# stations (named station nodes/areas) for labelling
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sql = stations_query(bbox)
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(OSM_RAW / "stations.overpassql").write_text(sql)
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print("[stations] querying Overpass...", flush=True)
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sdata = overpass(sql)
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st = parse_stations(sdata)
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print(f" -> {len(st)} named stations", flush=True)
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if st:
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gpd.GeoDataFrame(st, crs="EPSG:4326").to_file(
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OSM_RAW / "stations.gpkg", driver="GPKG", layer="stations"
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)
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print("done.")
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if __name__ == "__main__":
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main()
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