189 lines
6.2 KiB
Python
189 lines
6.2 KiB
Python
"""Load the checked-in DACH stop snapshot into the ``stops`` table.
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The snapshot (data/stops_dach.csv.gz) is produced by scripts/fetch_stops.py
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from OpenStreetMap data (© OpenStreetMap contributors, ODbL) for Austria,
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Germany and Switzerland. Importing needs no network access.
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At ~307k rows, processing this in one shot - the whole table loaded as ORM
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objects, ~307k new Stop() instances held until a single final commit - is
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enough to OOM a small host (confirmed: it did, on a 512 MB production LXC).
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Everything below is batched (default 2000 rows) with a commit + expunge_all()
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after each batch, so peak memory stays roughly flat regardless of table size
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instead of growing with it.
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flask import-stops # import the checked-in snapshot
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flask import-stops --file X # import an alternative CSV(.gz)
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"""
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from __future__ import annotations
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import csv
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import gzip
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import io
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import unicodedata
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from pathlib import Path
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import click
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from flask.cli import with_appcontext
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from models import Stop, Trip, db
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SNAPSHOT_PATH = Path(__file__).resolve().parent / "data" / "stops_dach.csv.gz"
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BATCH_SIZE = 2000
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def normalize_name(value: str) -> str:
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"""Lowercase, fold accents and ß for diacritic-insensitive search.
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Mirrors scripts/fetch_stops.py:normalize_name - keep the two in sync.
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"""
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value = value.strip().lower().replace("ß", "ss")
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decomposed = unicodedata.normalize("NFKD", value)
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return "".join(ch for ch in decomposed if not unicodedata.combining(ch))
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def _open_csv(path: Path) -> io.TextIOBase:
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if str(path).endswith(".gz"):
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return gzip.open(path, "rt", newline="", encoding="utf-8")
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return open(path, "rt", newline="", encoding="utf-8")
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def _row_fields(row: dict) -> dict:
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name = row["name"].strip()
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return dict(
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name=name,
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name_normalized=normalize_name(name),
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stop_type=row["stop_type"] or "other",
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country=(row.get("country") or "AT").strip().upper(),
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municipality=(row.get("municipality") or "").strip() or None,
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latitude=float(row["latitude"]),
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longitude=float(row["longitude"]),
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lines=(row.get("lines") or "").strip(),
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)
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def _import_batch(batch: list[dict]) -> tuple[int, int]:
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"""Upsert one batch. Only this batch's rows are ever loaded as ORM
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objects, so memory stays bounded by BATCH_SIZE, not table size."""
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ids = [row["osm_id"] for row in batch]
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existing = {
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(s.osm_type, s.osm_id): s
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for s in Stop.query.filter(Stop.osm_id.in_(ids))
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}
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inserted = updated = 0
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for row in batch:
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key = (row["osm_type"], row["osm_id"])
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fields = row["fields"]
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stop = existing.get(key)
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if stop is None:
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db.session.add(Stop(osm_type=key[0], osm_id=key[1], **fields))
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inserted += 1
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else:
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changed = False
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for attr, value in fields.items():
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if getattr(stop, attr) != value:
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setattr(stop, attr, value)
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changed = True
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updated += changed
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db.session.commit()
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db.session.expunge_all() # drop the identity map's refs so GC can reclaim them
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return inserted, updated
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def _remove_stale(seen: set[tuple[str, int]]) -> int:
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"""Delete stops absent from the new snapshot, unless a trip still
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references them. Streams the id/key columns only (yield_per) rather than
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loading full Stop rows for the whole table."""
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referenced = {
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sid
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for (sid,) in db.session.query(Trip.origin_stop_id).distinct()
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if sid is not None
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} | {
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sid
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for (sid,) in db.session.query(Trip.destination_stop_id).distinct()
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if sid is not None
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}
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stale_ids = [
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sid
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for sid, osm_type, osm_id in db.session.query(
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Stop.id, Stop.osm_type, Stop.osm_id
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).yield_per(5000)
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if (osm_type, osm_id) not in seen and sid not in referenced
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]
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removed = 0
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for i in range(0, len(stale_ids), BATCH_SIZE):
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chunk = stale_ids[i : i + BATCH_SIZE]
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removed += Stop.query.filter(Stop.id.in_(chunk)).delete(synchronize_session=False)
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db.session.commit()
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return removed
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def import_stops(path: Path | str = SNAPSHOT_PATH) -> dict[str, int]:
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"""Upsert every row of the snapshot into ``stops`` by (osm_type, osm_id).
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Stops that vanished from the snapshot are removed unless a trip still
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references them, so foreign keys from ``trips`` stay valid.
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"""
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path = Path(path)
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if not path.exists():
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raise click.ClickException(
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f"Snapshot not found: {path}\nRun scripts/fetch_stops.py first."
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)
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seen: set[tuple[str, int]] = set()
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inserted = updated = total = 0
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batch: list[dict] = []
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with _open_csv(path) as fh:
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for row in csv.DictReader(fh):
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key = (row["osm_type"], int(row["osm_id"]))
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seen.add(key)
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total += 1
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batch.append({"osm_type": key[0], "osm_id": key[1], "fields": _row_fields(row)})
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if len(batch) >= BATCH_SIZE:
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i, u = _import_batch(batch)
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inserted += i
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updated += u
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batch = []
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if batch:
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i, u = _import_batch(batch)
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inserted += i
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updated += u
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if total == 0:
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raise click.ClickException(f"{path} contains no rows.")
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removed = _remove_stale(seen)
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return {
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"total": total,
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"inserted": inserted,
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"updated": updated,
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"removed": removed,
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}
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@click.command("import-stops")
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@click.option(
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"--file",
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"file_path",
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type=click.Path(exists=True, dir_okay=False),
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default=None,
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help="CSV(.gz) to import instead of the checked-in snapshot.",
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)
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@with_appcontext
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def import_stops_command(file_path: str | None) -> None:
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"""Import DACH public-transport stops into the database."""
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stats = import_stops(file_path or SNAPSHOT_PATH)
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click.echo(
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"Stops imported: "
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f"{stats['total']} in snapshot, "
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f"{stats['inserted']} new, {stats['updated']} updated, "
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f"{stats['removed']} removed. "
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f"Total now: {Stop.query.count()}."
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)
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def register_cli(app) -> None:
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app.cli.add_command(import_stops_command)
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