marvin
b7d51ca29f
- Replace OSM Overpass transit data with the Rejseplanen GTFS feed (routes keyed by (agency, short name); styles from modes.yaml) - Draw one shape per (style, ref, direction), choosing the shape that serves the most in-area stops so lines pass the stops we show - Collapse stops by names (verified unambiguous); prune stops whose serving refs have no drawn line within 300 m - Patch Københavns Havn + Nordhavn into the area polygon so ferry routes and sub-harbour metro tunnels survive clipping; 100 m buffer closes relation boundary slivers - Drop OSM download pipeline; keep tiled basemap
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
#!/usr/bin/env python3
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"""Download the Rejseplanen GTFS feed (all of Denmark) and unzip into data/raw/gtfs/.
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Source: https://www.rejseplanen.info/labs — a static GTFS zip published by
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Rejseplanen covering DSB, DSB S-tog, Metroselskabet, Movia, Lokaltog,
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Hovedstadens Letbane, Skånetrafiken, etc. Nationwide feed; gtfs_to_geopackage.py
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filters it down to the Copenhagen area.
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"""
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import urllib.request
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import zipfile
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from _common import GTFS_RAW, UA
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GTFS_URL = "https://www.rejseplanen.info/labs/GTFS.zip"
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def main():
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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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req = urllib.request.Request(GTFS_URL, headers={"User-Agent": UA})
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with urllib.request.urlopen(req) as r, zip_path.open("wb") as f:
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while chunk := r.read(1 << 20):
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f.write(chunk)
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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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