310a5fe1bd
Add core/quality/selection.py: rank_with_targets() returns (ranked, satisfied) where satisfied = a candidate meets a real target (strict). load_profile_targets()/rank_for_profile() are the DB-backed wrappers. search_with_fallback now skips a source that can deliver no target-meeting quality and escalates to the next (source priority still wins among satisfying sources; first source's results kept as fallback unless the profile disables it). Returns RAW tracks — the satisfied check is a coarse source gate; match-filtering + final ranking stay in the orchestrator so the correct track is never pruned. Ranking is fail-open: a ranking error never drops a source's real results. Tested: rank_with_targets satisfied/fallback matrix + engine escalation, stop-on-first, raw-not-pruned, fallback on/off. Amazon field test updated for the corrected format token. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
||
|---|---|---|
| .. | ||
| __init__.py | ||
| test_amazon_client.py | ||
| test_amazon_download_client.py | ||
| test_amazon_worker_schema.py | ||
| test_t2tunes_probe.py | ||