The 'episodes' table has no UNIQUE constraint on
(series_id, season, episode_number), so historical scans can leave
duplicate rows behind. Commit c84f968 added a read-boundary dedup
in AnimeSeries.episodeDict so the rest of the stack never sees
duplicates — but the duplicate rows themselves still bloat the DB
and confuse direct SQL queries.
This commit adds a standalone CLI to find and (with --apply)
delete those duplicate rows. The cleanup keeps the lowest 'id'
per tuple (the oldest insert, which is most likely to have
populated title / file_path fields) and is idempotent.
Usage:
python -m src.cli.clean_duplicate_episodes # dry-run report
python -m src.cli.clean_duplicate_episodes --apply # actually delete
python -m src.cli.clean_duplicate_episodes --max-series 5 # limit report
Override the target DB with DATABASE_URL=sqlite:///path/to.db.
Verified against the user's backup DB: 633 duplicate rows across
231 (series, season, episode) tuples removed cleanly, leaving
1221 unique rows. Re-running reports no duplicates. The cleanup
does not affect the read-boundary dedup — both layers are
defensive in depth.