Copenhagen Phase 1: scaffolding + area + OSM download
- pyproject.toml with all deps (geopandas, contextily, partridge, etc.)
- config/: area.json (3 OSM boundary relations), modes.yaml (subway/s_tog/
light_rail/regional/bus, S-tog scoped to route=light_rail network=Takst),
styling.yaml (zorder/widths/colours/palette/mask/labels)
- build_area.py: fetch 3 relations via OSM API, stitch rings, dissolve to
area.gpkg/area.geojson (City Pass approximation)
- download_osm.py: per-mode Overpass (mirror+backoff, out geom + recurse for
stops), writes {mode}.gpkg (lines+stops) + query text
- download_gtfs.py / gtfs_to_geopackage.py: stubs (blocked on Rejseplanen)
- data/ gitignored (regenerable); output/ tracked
This commit is contained in:
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"""Shared paths and constants for the Copenhagen map scripts."""
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from pathlib import Path
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HERE = Path(__file__).resolve().parent
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CPH = HERE.parent
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CONFIG = CPH / "config"
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DATA = CPH / "data"
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RAW = DATA / "raw"
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OSM_RAW = RAW / "osm"
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GTFS_RAW = RAW / "gtfs"
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PROCESSED = DATA / "processed"
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OUTPUT = CPH / "output"
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UA = "jetlag-maps/0.1 (https://github.com/marvin/jetlag-maps)"
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#!/usr/bin/env python3
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"""Build the City Pass area polygon from three OSM boundary relations.
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Fetches relation/{id}/full.json from the OSM API for each relation in
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config/area.json, assembles member ways into rings (respecting outer/inner
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roles), builds polygons, and dissolves the union into a single multipolygon.
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Outputs (in data/processed):
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area.geojson (EPSG:4326, human-readable + portable)
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area.gpkg (EPSG:4326, for geopandas/scripts)
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"""
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import json
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import sys
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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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from shapely.geometry import MultiPolygon, Polygon
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from shapely.ops import unary_union
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from _common import CONFIG, PROCESSED, UA
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OSM_API = "https://api.openstreetmap.org/api/0.6"
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def fetch_relation(rel_id):
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url = f"{OSM_API}/relation/{rel_id}/full.json"
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r = requests.get(url, headers={"User-Agent": UA}, timeout=120)
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r.raise_for_status()
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return r.json()["elements"]
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def stitch_rings(ways):
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"""Stitch a list of node-coordinate polylines into closed rings.
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`ways` is a list of lists of (lon, lat). Returns a list of closed rings
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(each starting point == ending point).
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"""
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eps = 1e-9
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def close(a, b):
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return abs(a[0] - b[0]) < eps and abs(a[1] - b[1]) < eps
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pool = [w[:] for w in ways if w]
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rings = []
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while pool:
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cur = pool.pop(0)
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changed = True
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while changed and not close(cur[0], cur[-1]):
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changed = False
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for i, w in enumerate(pool):
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if close(cur[-1], w[0]):
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cur = cur + w[1:]
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pool.pop(i)
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changed = True
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break
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if close(cur[-1], w[-1]):
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cur = cur + w[::-1][1:]
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pool.pop(i)
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changed = True
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break
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rings.append(cur)
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return [r for r in rings if close(r[0], r[-1]) and len(r) >= 4]
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def build_polygon(elements):
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nodes = {}
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ways = {}
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relation = None
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for e in elements:
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t = e["type"]
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if t == "node":
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nodes[e["id"]] = (e["lon"], e["lat"])
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elif t == "way":
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ways[e["id"]] = e["nodes"]
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elif t == "relation":
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relation = e
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if relation is None:
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raise ValueError("no relation in element set")
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outer, inner = [], []
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for m in relation["members"]:
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if m["type"] != "way" or m["ref"] not in ways:
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continue
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seq = [nodes[n] for n in ways[m["ref"]] if n in nodes]
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if len(seq) < 2:
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continue
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(inner if m.get("role") == "inner" else outer).append(seq)
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outer_rings = stitch_rings(outer)
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inner_rings = stitch_rings(inner)
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polys = []
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for oring in outer_rings:
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op = Polygon(oring)
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if not op.is_valid:
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op = op.buffer(0)
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holes = []
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for iring in inner_rings:
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ip = Polygon(iring)
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if not ip.is_valid:
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ip = ip.buffer(0)
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if op.contains(ip.representative_point()):
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holes.append(list(ip.exterior.coords))
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try:
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polys.append(Polygon(oring, holes=holes))
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except Exception:
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polys.append(Polygon(oring))
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if not polys:
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raise ValueError("could not assemble any outer rings")
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if len(polys) == 1:
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return polys[0]
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return MultiPolygon(polys)
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def main():
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area_cfg = json.loads((CONFIG / "area.json").read_text())
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geoms = []
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for rel in area_cfg["relations"]:
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rid = rel["id"]
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print(f"fetching relation {rid} ({rel['name']})...", flush=True)
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elements = fetch_relation(rid)
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geom = build_polygon(elements)
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if not geom.is_valid:
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geom = geom.buffer(0)
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geoms.append(geom)
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print(f" -> {geom.geom_type}, area={geom.area:.5f} deg^2", flush=True)
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dissolved = unary_union(geoms)
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if not dissolved.is_valid:
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dissolved = dissolved.buffer(0)
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PROCESSED.mkdir(parents=True, exist_ok=True)
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gdf = gpd.GeoDataFrame(
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{"name": ["City Pass area"]}, geometry=[dissolved], crs="EPSG:4326"
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)
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gdf.to_file(PROCESSED / "area.geojson", driver="GeoJSON")
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gdf.to_file(PROCESSED / "area.gpkg", driver="GPKG", layer="area")
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bounds = dissolved.bounds
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print(
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f"dissolved: {dissolved.geom_type} | bounds "
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f"({bounds[0]:.4f},{bounds[1]:.4f})-({bounds[2]:.4f},{bounds[3]:.4f})",
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flush=True,
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)
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print(f"wrote {PROCESSED/'area.geojson'} and {PROCESSED/'area.gpkg'}")
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if __name__ == "__main__":
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main()
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@@ -0,0 +1,45 @@
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#!/usr/bin/env python3
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"""Download the Rejseplanen GTFS feed for the Copenhagen area.
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STATUS: BLOCKED. Rejseplanen (journey planner) does not currently expose a
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public GTFS download. This script documents the intended flow and exits
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non-zero with guidance.
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When a feed URL becomes available, set it here and the script will download
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and unzip into data/raw/gtfs/.
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"""
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import sys
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import urllib.request
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import zipfile
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from pathlib import Path
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from _common import GTFS_RAW
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# Fill in once access is granted. Likely candidates:
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# - Rejseplanen / DOT open-data portal
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# - a static GTFS zip provided on request
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GTFS_URL = None # e.g. "https://.../rejseplanen.zip"
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def main():
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if not GTFS_URL:
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print(
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"download_gtfs: BLOCKED — no GTFS feed URL configured.\n"
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"Set GTFS_URL in this script once Rejseplanen grants access, then re-run.\n"
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"The OSM-only pipeline (build_area -> download_osm -> prepare -> render)\n"
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"is fully functional without GTFS; GTFS only enriches colours/stops.",
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file=sys.stderr,
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)
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sys.exit(2)
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GTFS_RAW.mkdir(parents=True, exist_ok=True)
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zip_path = GTFS_RAW / "feed.zip"
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print(f"downloading {GTFS_URL} -> {zip_path} ...", flush=True)
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urllib.request.urlretrieve(GTFS_URL, zip_path)
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with zipfile.ZipFile(zip_path) as z:
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z.extractall(GTFS_RAW)
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zip_path.unlink(missing_ok=True)
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print(f"extracted GTFS txt files into {GTFS_RAW}")
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if __name__ == "__main__":
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main()
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@@ -0,0 +1,153 @@
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#!/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 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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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, (s, n, w, e))
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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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print("done.")
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if __name__ == "__main__":
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main()
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@@ -0,0 +1,42 @@
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#!/usr/bin/env python3
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"""Convert raw GTFS txt files into portable GeoPackage layers + a colour table.
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STATUS: BLOCKED on download_gtfs.py (no feed URL yet).
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Intended outputs (data/processed):
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gtfs_shapes.gpkg (shapes.txt -> LineString per shape_id, EPSG:4326)
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gtfs_stops.gpkg (stops.txt -> Point per stop, EPSG:4326)
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route_colors.csv (route_id, route_short_name, route_type, route_color)
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Uses partridge for fast GTFS parsing. prepare.py reads these when present and
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falls back to OSM-only data when absent.
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"""
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import sys
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from pathlib import Path
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from _common import GTFS_RAW, PROCESSED
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def main():
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if not (GTFS_RAW / "routes.txt").exists():
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print(
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"gtfs_to_geopackage: BLOCKED — no GTFS data found in "
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f"{GTFS_RAW}. Run download_gtfs.py first once a feed URL is set.",
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file=sys.stderr,
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)
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sys.exit(2)
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# TODO (when GTFS available):
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# import partridge as pt
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# import geopandas as gpd
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# from shapely.geometry import LineString, Point
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# feed = pt.load_geo_feed(str(GTFS_RAW))
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# shapes -> gtfs_shapes.gpkg (LineString per shape_id)
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# stops -> gtfs_stops.gpkg
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# routes -> route_colors.csv (route_id, route_short_name, route_type, route_color)
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print("gtfs_to_geopackage: not yet implemented (GTFS feed unavailable).")
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sys.exit(2)
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if __name__ == "__main__":
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main()
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Reference in New Issue
Block a user