c630b500ef
* DB: users + user_profiles/filters/notifications/preferences; applications gets user_id + forensics_json + profile_snapshot_json; new errors table with 14d retention; schema versioning via MIGRATIONS list * auth: password hashes in DB (argon2); env vars seed first admin; per-user sessions; CSRF bound to user id * apply: personal info/WBS moved out of env into the request body; providers take an ApplyContext with Profile + submit_forms; full Playwright recorder (step log, console, page errors, network, screenshots, final HTML) * web: five top-level tabs (Wohnungen/Bewerbungen/Logs/Fehler/Einstellungen); settings sub-tabs profil/filter/benachrichtigungen/account/benutzer; per-user matching, auto-apply and notifications (UI/Telegram/SMTP); red auto-apply switch on Wohnungen tab; forensics detail view for bewerbungen and fehler; retention background thread Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
24 lines
643 B
Python
24 lines
643 B
Python
"""Background thread that periodically prunes old logs / errors / forensics."""
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import logging
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import threading
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import time
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import db
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from settings import RETENTION_RUN_INTERVAL_SECONDS
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logger = logging.getLogger("web.retention")
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def _loop():
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while True:
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try:
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db.cleanup_retention()
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except Exception:
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logger.exception("retention cleanup failed")
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time.sleep(RETENTION_RUN_INTERVAL_SECONDS)
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def start() -> None:
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t = threading.Thread(target=_loop, name="retention", daemon=True)
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t.start()
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logger.info("retention thread started (interval=%ss)", RETENTION_RUN_INTERVAL_SECONDS)
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