User reported that manually mapping a mirrored-playlist track via the
Fix popup (either by search or by pasting an MBID) worked end-to-end
once — match saved, library track downloaded — but the next Playlist
Pipeline run flipped the track back to "Provider Changed" and forced
them to re-do the manual map every cycle.
Three independent issues were combining to cause this:
1. Hardcoded `provider: 'spotify'` on manual-fix save
`update_youtube_discovery_match` (the endpoint the Fix popup posts
to, also used by mirrored playlists since the frontend routes
`platform === 'mirrored'` through the YouTube endpoint) always
stamped the cached match as Spotify-provided. The Fix-popup cascade
actually queries the user's primary metadata source first and falls
back to Spotify / Deezer / iTunes / MusicBrainz — so a user on
MusicBrainz primary picking an MB result still had it saved as
`provider: 'spotify'`. The next prepare-discovery call (which
compares cached_provider to the active source) then immediately
classified the match as drifted and pending re-discovery. Fixed by
deriving `match_source` from `spotify_track.get('source')` (every
*_search_tracks endpoint stamps `source` on results) with a fallback
to `_get_active_discovery_source()` for the MBID-paste path (which
uses the lean flat shape that doesn't carry source). `matched_data['source']`
and the mirrored `extra_data['provider']` both now use the derived
value. `match_source` is also recomputed in the cache-save except
handler so the downstream mirrored-DB save still has it.
2. Discovery worker re-queueing manual matches as "incomplete"
`run_playlist_discovery_worker` in `core/discovery/playlist.py`
re-adds any track to `undiscovered_tracks` when its `matched_data`
lacks `track_number` or `album.id` / `album.release_date`. The
check was designed as a legacy-fix backfill for old discoveries
that lost those fields to a Track-dataclass stripping bug. But
manual fixes from the popup are *intentionally* lean — search-
result rows don't include `track_number` (none of the search
endpoints return it), and the MBID-lookup flat shape doesn't
carry `album.id` / `release_date` (the recording lookup returns
only `album.name`). So every manual match looked "incomplete" and
got re-discovered every pipeline run, overwriting the user's pick
with whatever the auto-search ranked first. Manual matches now
short-circuit ahead of the incomplete-data branch.
3. `prepare_mirrored_discovery` ignored the `manual_match` flag
Independent of the provider-stamping fix above, the prepare-
discovery endpoint that powers the mirrored-playlist UI did its
own `cached_provider != current_provider` check and didn't honour
manual_match either. Defence in depth — even if a future code
path stamps the wrong provider on a manual match, the flag now
anchors it as cached. `has_cached` also extended so manual
matches with off-provider stamps still count toward the cached
tally for phase classification.
Tests:
- new `test_manual_match_skipped_even_when_matched_data_incomplete`
in `tests/discovery/test_discovery_playlist.py` pins the worker
short-circuit using a realistic MB-shape matched_data (album dict
without id / release_date, no top-level track_number). 16 existing
tests still green; 848 across discovery / metadata / automation
suites pass.
Third lift in the PR5 discovery-workers series. Pulls the 323-line
mirrored-playlist discovery worker out of `web_server.py` into its own
focused module under `core/discovery/`. Pure 1:1 lift — wrapper keeps
the original entry-point name so the existing call site
(`_run_playlist_discovery_worker(pls, automation_id=None)` from the
automation engine) continues to work without changes.
What the playlist discovery worker does:
1. Pause enrichment workers (release shared resources).
2. Pre-compute total track count across all playlists for the automation
progress card.
3. For each playlist:
- Fast pre-scan separates already-discovered tracks (skipped, unless
incomplete metadata or a Wing It stub) from undiscovered ones.
- For each undiscovered track:
- Cancellation gate via _playlist_discovery_cancelled set.
- Discovery cache lookup (with artist validation).
- matching_engine search-query generation, then Spotify (preferred)
or iTunes (fallback) search + scoring.
- Extended search fallback (limit=50) if no high-confidence match.
- On match → enrich album from metadata cache (id, images,
total_tracks, album_type, release_date, artists, plus track_number
and disc_number), build matched_data, write to track.extra_data,
save to discovery cache.
- On miss → Wing It stub stored as 'wing_it_fallback' provider.
4. After all playlists: emit `discovery_completed` event when at least
one new track was discovered, mark automation progress 'finished'.
5. On error → automation progress 'error', traceback printed.
6. Finally: resume enrichment workers.
Dependencies injected via `PlaylistDiscoveryDeps` (16 fields) —
spotify_client, matching_engine, automation_engine, the cancellation
set, plus 12 callable helpers (pause/resume enrichment,
get_active_discovery_source, get_metadata_fallback_client/source,
update_automation_progress, get_database, get_discovery_cache_key,
validate_discovery_cache_artist, discovery_score_candidates,
get_metadata_cache, build_discovery_wing_it_stub).
Diff vs original after `deps.X` → global X normalization is **zero
differences** — 323 lines orig = 323 lines lifted, byte-identical body
(including all whitespace, comments, log strings).
Tests: 15 new under tests/discovery/test_discovery_playlist.py covering
empty playlists, no-tracks playlist skip, complete-discovery skip,
incomplete-discovery re-run, Wing It always re-run, unmatched_by_user
respect, cache hit short-circuit, match above threshold (extra_data +
cache save), match below threshold falls to Wing It, iTunes fallback,
neither-provider error path, cancellation, discovery_completed event
emit, no-event on zero-discovered, multi-playlist grand_total
aggregation.
Full suite: 1098 passing (was 1083). Ruff clean.
Broque Thomas