SQLite's executescript() auto-commits each DDL statement, so a partial
migration failure leaves columns in the DB without marking the migration
done. On the next startup the runner retries and hits duplicate column errors.
Use ADD COLUMN IF NOT EXISTS (SQLite 3.35+, shipped in Python 3.11+)
so migrations 004 and 005 are safe to re-run in any partial state.
001_init.sql already defines first_seen_at in the CREATE TABLE statement.
On fresh installs, migration 004 failed with 'duplicate column name: first_seen_at'.
Remove the redundant ALTER TABLE; last_seen_at/times_seen/price_at_first_seen
are still added by 004 as before.
- Rename 002_background_tasks.sql → 007_background_tasks.sql to avoid
collision with existing 002_add_listing_format.sql migration
- Add CREATE UNIQUE INDEX on trust_scores(listing_id) in same migration
so save_trust_scores() can use ON CONFLICT upsert semantics
- Add Store.save_trust_scores() — upserts scores keyed by listing_id;
preserves photo_analysis_json so runner writes are never clobbered
- runner.py: replace raw sqlite3.connect() with get_connection() throughout
(timeout=30 + WAL mode); fix connection leak in insert_task via try/finally
- _run_trust_photo_analysis: read 'user_db' from params to write results to
the correct per-user DB in cloud mode (was silently writing to wrong DB)
- main.py lifespan: use _shared_db_path() in cloud mode so background_tasks
queue lives in shared DB, not _LOCAL_SNIPE_DB
- Add _enqueue_vision_tasks() and call it after score_batch() — this is the
missing enqueue call site; gated by features.photo_analysis (Paid tier)
- Test fixture: add missing 'stage' column to background_tasks schema
Scraper can't fetch seller profile age without following each listing's
seller link. Using 0 as sentinel caused every scraped seller to trigger
new_account and account_under_30_days red flags erroneously.
- Seller.account_age_days: int → Optional[int] (None = not yet fetched)
- Migration 003: recreate sellers table without NOT NULL constraint
- MetadataScorer: return None for unknown age → score_is_partial=True
- Aggregator: gate age flags on is not None
- Scraper: account_age_days=None instead of 0
