Per review §1 — verified no callers before each deletion:
- _next_scrape_utc (context dict key never read by any template)
- ALERT_SCRAPE_INTERVAL_SECONDS settings import (only _next_scrape_utc read it)
- alert/paths.py (imported by nothing)
- alert/settings.py LANGUAGE (alert doesn't use translations.toml)
- alert/main.py: the vestigial `c = {}` connectivity dict, the comment
about re-enabling it, and the entire connectivity block in
_flat_payload — the web-side columns stay NULL on insert now
- alert/maps.py: DESTINATIONS, calculate_score, _get_next_weekday,
_calculate_transfers (only geocode is used in the scraper)
- alert/flat.py: connectivity + display_address properties,
_connectivity field, unused datetime import
- apply/utils.py str_to_preview (no callers) — file removed
- web/matching.py: max_morning_commute + commute check
- web/app.py: don't pass connectivity dict into flat_matches_filter,
don't write email_address through update_notifications
- web/db.py: get_error (no callers); drop kill_switch,
max_morning_commute, email_address from their allowed-sets so they're
not writable through update_* anymore
- web/settings.py + docker-compose.yml: SMTP_HOST/PORT/USERNAME/PASSWORD/
FROM/STARTTLS (notifications.py is telegram-only now)
DB columns themselves (kill_switch, email_address, max_morning_commute,
connectivity_morning_time, connectivity_night_time) stay in the schema
— SQLite can't drop them cheaply and they're harmless.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
"""
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Per-user filter matching.
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Each user has one row in user_filters. A flat matches the user if all
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of the user's non-null constraints are satisfied. Empty filters = matches all.
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"""
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import logging
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from typing import Iterable
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logger = logging.getLogger("web.matching")
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def flat_matches_filter(flat: dict, f: dict | None) -> bool:
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"""f is a user_filters row converted to dict (or None = no filter set)."""
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if not f:
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return True
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rooms = flat.get("rooms") or 0.0
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rent = flat.get("total_rent") or 0.0
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size = flat.get("size") or 0.0
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wbs_str = str(flat.get("wbs", "")).strip().lower()
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if f.get("rooms_min") is not None and rooms < float(f["rooms_min"]):
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return False
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if f.get("rooms_max") is not None and rooms > float(f["rooms_max"]):
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return False
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if f.get("max_rent") is not None and rent > float(f["max_rent"]):
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return False
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if f.get("min_size") is not None and size < float(f["min_size"]):
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return False
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wbs_req = (f.get("wbs_required") or "").strip().lower()
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if wbs_req == "yes":
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if not wbs_str or wbs_str in ("kein", "nein", "no", "ohne", "-"):
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return False
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elif wbs_req == "no":
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if wbs_str and wbs_str not in ("kein", "nein", "no", "ohne", "-"):
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return False
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return True
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def row_to_dict(row) -> dict:
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if row is None:
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return {}
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try:
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return {k: row[k] for k in row.keys()}
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except Exception:
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return dict(row)
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