Three more album-shape consumers now route through
Album.from_<source>_dict() when caller passes a known source:
- _build_discography_release_dict (artist discography cards)
- _build_artist_detail_release_card (artist detail release cards)
- _normalize_track_album (quality scanner result normalization)
Legacy duck-typing stays as fallback for unknown source,
non-dict input, or converter errors. Pure additive — existing
callers without source kwarg unchanged.
Steps 2+3 of typed metadata migration. Two album-info builders now
route through Album.from_<source>_dict() when caller passes a
known source:
- _build_album_info (album-tracks lookups)
- _build_single_import_context_payload (single-track import context)
Legacy duck-typing stays as fallback for unknown source, non-dict
input, or converter errors. Pure additive — existing callers
without source kwarg unchanged.
Audit caught two missing providers from the foundation pr. Both
return album-shaped data via their clients (search + download
flows). Tidal uses tidalapi objects rather than dicts so the
converter is from_tidal_object, not _dict.
Enrichment-only providers (lastfm/genius/acoustid/listenbrainz/
audiodb) intentionally have no album converter — they enrich
existing rows, never return album shapes.
Tests: +8 cases. 40 total now.
New core/metadata/types.py with canonical dataclasses + classmethod
converters for spotify/itunes/deezer/discogs/musicbrainz/hydrabase.
Each converter is the single place that knows that provider's wire
shape — addresses the duck-typing pattern Cin flagged.
Pure additive: no consumer code changed. Follow-up PRs migrate
consumers one at a time. Migration plan at
docs/metadata-types-migration.md.
Tests: 32 cases pin per-provider semantics + cross-provider
invariants. Also stabilized a flaky discogs test that depended on
local config state.
Discord request: pull user's Discogs collection into the Your Albums
section on Discover, similar to how Spotify Liked Albums works.
Implementation extends the existing 3-source pipeline (Spotify /
Tidal / Deezer) to a 4-source pipeline with click-context dispatch —
Discogs-only albums open with rich Discogs release detail (vinyl/CD
format, year, label, country, tracklist). Mirrors the per-source
dispatch pattern from enhanced/global search.
Discogs client (`core/discogs_client.py`):
- New `get_authenticated_username()` resolves the username for the
configured personal token via Discogs's `/oauth/identity` endpoint.
Cached on the instance so subsequent collection page-fetches don't
re-hit it.
- New `get_user_collection(username=None, folder_id=0, per_page=100,
max_pages=50)` walks all pages of `/users/{username}/collection/
folders/{folder_id}/releases`. Returns normalized dicts ready for
upsert_liked_album. folder_id=0 = Discogs's "All" folder.
Pagination cap of max_pages*per_page = 5000 releases — bounds
runtime on heavy collections.
- New `get_release(release_id)` thin wrapper for `/releases/{id}` —
returns the raw API response so the album-detail endpoint can
render rich context.
- Both methods defensive: missing token → empty list, malformed
responses → skipped, falsy ids → None. Disambiguation suffix
stripping (`Madonna (3)` → `Madonna`) so Discogs artist names
match what Spotify/Tidal/Deezer use.
Schema (`database/music_database.py`):
- New `discogs_release_id TEXT` column on `liked_albums_pool`.
Migration uses the established `try SELECT, except ALTER TABLE`
pattern. Idempotent; safe on existing installs.
- Added the column to the canonical CREATE TABLE for fresh installs.
- `upsert_liked_album` extended with `'discogs': 'discogs_release_id'`
in BOTH the INSERT and UPDATE id-column maps so Discogs source_id
routes to the new column. INSERT statement column count + value
count updated together.
Backend (`web_server.py`):
- `/api/discover/your-albums/sources` — adds Discogs to the
`connected` list when `discogs.token` config is set.
- `_fetch_liked_albums` — new branch for Discogs. Lazy-imports
DiscogsClient, respects the `enabled_sources` config, walks the
collection, upserts each release. Same try/except shape as the
existing source branches.
- `/api/discover/album/<source>/<album_id>` — new `discogs` branch
fetches the release via DiscogsClient.get_release, normalizes the
Discogs tracklist format, parses Discogs's `MM:SS`/`HH:MM:SS`
duration strings to milliseconds, returns the same response shape
as the Spotify/Deezer/iTunes branches.
Frontend (`webui/static/discover.js`):
- `openYourAlbumsSourcesModal` — adds Discogs to `sourceInfo` with
the vinyl emoji icon. Existing toggle/save plumbing handles it.
- `openYourAlbumDownload` — restructured the per-source dispatch:
builds an ordered list of (source, id) tuples, tries each in turn,
breaks on the first successful response. Pure-Discogs albums go
straight to the Discogs detail endpoint → modal opens with Discogs
context. Multi-source albums prefer Spotify/Deezer first since
their tracklists carry proper streaming IDs ready for download.
Tests: `tests/test_discogs_collection_source.py` — 12 cases:
- get_user_collection: empty without token, normalizes response
shape, strips disambiguation suffix, handles missing year, skips
malformed releases, paginates correctly, caps at max_pages,
uses explicit username when provided.
- get_release: passes id through to /releases/{id}, returns None
for invalid ids without API call.
- liked_albums_pool: discogs_release_id round-trips through upsert
+ get; multi-source dedup carries both Spotify and Discogs IDs
on the same row.
Verified: full suite 1825 pass (12 new), ruff clean, smoke test
populating + reading the discogs_release_id column round-trips
correctly via the real DB.
WHATS_NEW entry under '2.4.2' dev cycle.
Discord request (Samuel [KC]): show how much disk space the library
takes on the Stats page. Implementation piggybacks on the existing
deep scan — Plex/Jellyfin/Navidrome all return file size in their
track API responses, so we read it during the deep scan and store
it on the tracks row. Aggregation is then a single SQL query — no
filesystem walk, no extra I/O during the scan, no separate stat
job. SoulSync standalone gets size from os.path.getsize at insert
time (different code path; the file is local when we write the row).
Schema (`database/music_database.py`):
- New `file_size INTEGER` column on `tracks`. Migration uses the
established `try SELECT, except ALTER TABLE ADD COLUMN` pattern.
Idempotent; safe on existing installs. NULL on legacy rows so
they don't contribute to totals until next deep scan refreshes.
- Added the column to the canonical CREATE TABLE so fresh installs
get it without going through the migration path.
Track-object plumbing:
- `core/jellyfin_client.py` — JellyfinTrack reads MediaSources[0].Size
alongside existing Bitrate read. None when 0 / missing.
- `core/navidrome_client.py` — NavidromeTrack reads `size` from
the Subsonic song object (int coercion + None on parse fail).
- `core/soulsync_client.py` — SoulSyncTrack does os.path.getsize
(only "server" where size has to come from disk).
- Plex needs no client-side change: track.media[0].parts[0].size
is read directly inside insert_or_update_media_track.
Persistence — TWO separate insert paths:
(a) `database/music_database.py:insert_or_update_media_track` —
Plex/Jellyfin/Navidrome flows. Reads file_size from Plex's
MediaPart OR `track_obj.file_size` wrapper attribute (defensive
Plex-attr-not-present check + > 0 type guard).
INSERT writes the new column.
UPDATE uses COALESCE(?, file_size) so a None from the server
on a re-sync (rare Jellyfin Size omission) doesn't blank an
existing value. Pinned via test.
(b) `core/imports/side_effects.py:record_soulsync_library_entry` —
SoulSync standalone flow. Completely separate code path: the
standalone deep scan moves files to staging for auto-import
rather than calling insert_or_update_media_track. After the
auto-import processes them, side_effects writes the tracks row
directly. Reads file_size via os.path.getsize(final_path) at
insert time (file is local) and includes it in the INSERT
column list. SoulSync only does INSERT-if-not-exists (no
UPDATE path), so no COALESCE concern.
Aggregator (`database/music_database.py:get_library_disk_usage`):
- SELECT COALESCE(SUM(file_size), 0), COUNT(file_size),
COUNT(*) - COUNT(file_size) for the totals.
- Per-format breakdown done in Python via os.path.splitext over
(file_path, file_size) rows — sidesteps SQLite's first-vs-last-dot
ambiguity for paths like /music/Kendrick/M.A.A.D City/01.flac.
- Defensive: skips empty paths, paths without extension, and
implausibly long extensions (>6 chars). Returns the full
empty-shape dict (NOT a partial / undefined) when the column
doesn't exist or queries fail, so the UI's `if (!data.has_data)`
branch handles fresh installs cleanly.
API + UI:
- `core/stats/queries.py` — thin pass-through get_library_disk_usage
matching the existing query-helper convention.
- `web_server.py` — new /api/stats/library-disk-usage endpoint
mirroring the /api/stats/db-storage pattern.
- `webui/index.html` — new card in System Statistics above the
Database Storage card.
- `webui/static/stats-automations.js` — _loadLibraryDiskUsage +
_renderLibraryDiskUsage. Empty state: "Run a Deep Scan to
populate (X tracks pending)". Partial: "X measured (+Y pending)".
Full: total + format bars proportional to the largest format.
- `webui/static/style.css` — .stats-disk-* styled to match the
Database Storage card.
Backward compatibility:
- Migration is additive; existing rows get NULL file_size; the
empty-shape return from the aggregator means the UI renders
cleanly without errors before any deep scan runs.
- Old installs upgrading will see "Run a Deep Scan to populate
(N tracks pending)". Running their next deep scan fills sizes —
the existing scan flow doesn't need any changes, just consumes
the new track-wrapper attribute.
Tests:
- `tests/test_library_disk_usage.py` — 13 cases covering schema
migration, NULL defaults on legacy inserts, fresh-install empty
shape, summing with mixed NULL/known sizes, per-format breakdown,
mixed-case extensions, paths with album-name dots, missing
extensions, empty file_path, implausibly long extensions,
JellyfinTrack.file_size persistence via insert_or_update_media_track,
COALESCE preservation on null re-sync.
- `tests/imports/test_import_side_effects.py` — extended the
existing record_soulsync_library_entry test to assert
track_row['file_size'] == os.path.getsize(final_path), pinning
the SoulSync-standalone path. Test fixture's tracks schema also
updated to include the file_size column.
Verified: full suite 1813 pass (13 new, 1 existing-test extension),
ruff clean, smoke test populating + reading the column round-trips
correctly.
WHATS_NEW entry under '2.4.2' dev cycle.
User report: every downloaded track in an album came out with
``replaygain_track_gain: +52.00 dB`` regardless of actual loudness.
Root cause: the parser at ``core/replaygain.py:79`` used
``re.search('I:\s+...')`` which returns the FIRST match. ffmpeg's
ebur128 filter emits ``I:`` per measurement window (running partial
integrated loudness) AND in a final Summary block. The first
per-window reading is at t=0.5s — almost always ~-70 LUFS because
nearly every track starts with silence / encoder padding. So:
gain = RG2_reference - lufs = -18 - (-70) = +52.00 dB
…on EVERY track. Same regex pattern, same first per-window match,
same +52 dB written to every file's REPLAYGAIN_TRACK_GAIN tag.
Verified by running ffmpeg ebur128 against a real generated FLAC
and inspecting the stderr output — first per-window line at t=0.5s
shows ``I: -70.0 LUFS`` (silent intro), and the Summary block at
the end shows the real integrated value (e.g. ``I: -27.8 LUFS``
for the test sine wave). Old code captured the -70.0 reading.
Fix: anchor LUFS parsing to the ``Summary:`` block via
``stderr.rfind('Summary:')``. The Summary block is always emitted
last and contains the authoritative final integrated loudness.
Peak parsing already worked correctly (per-window output uses
``TPK:``/``FTPK:`` labels; only the Summary uses ``Peak:``), but
applied the same Summary anchor for consistency.
Defensive fallback: if no Summary block is present (truncated
output / unusual ffmpeg version), use the LAST per-window reading
instead of the first. Still better than the buggy first-window
behavior.
Smoke verified end-to-end: a freshly-generated FLAC of a -24 dBFS
sine wave now reports LUFS=-27.80, gain=+9.80 dB (correct, was
+52.00 before fix).
Tests: ``tests/test_replaygain_summary_parse.py`` — 7 cases pinning
the parser behavior with realistic ffmpeg ebur128 stderr samples:
- Summary value parsed correctly even when first per-window is -70
- Resulting gain is realistic (NOT +52)
- Two tracks with same first per-window but different summaries get
different LUFS (regression assertion for "all tracks same gain")
- Per-window reading higher than Summary doesn't leak through
- Fallback to last per-window when Summary absent
- Clean RuntimeError raised when no LUFS values anywhere
- Peak still correctly anchored to Summary
Verified: full suite 1800 pass (7 new), ruff clean.
WHATS_NEW entry under '2.4.2' dev cycle.
User caught downloading Kendrick Mr. Morale: three tracks (Rich
Interlude, Savior Interlude, Savior) showed ✅ Completed in the modal
but were missing on disk. Log forensics revealed two layered bugs.
Bug 1 — Verification wrapper assumed success on quarantined files
(`core/imports/pipeline.py`):
The outer `post_process_matched_download_with_verification` had a
fallback at the "no `_final_processed_path` in context" branch that
marked the task completed and notified `success=True`. The inner
post-processor sets `_final_processed_path` only when the file
actually reaches its destination. Integrity-rejected files
(`_integrity_failure_msg` set) and race-guard-failed files
(`_race_guard_failed` set) get quarantined or skipped without ever
setting `_final_processed_path`, so they fell straight into the
"assume success" branch.
Confirmed in user's log:
No _final_processed_path in context for task d5b88b84-... —
cannot verify, assuming success
That line fired for the same task right after the integrity check
quarantined the source file. Result: ✅ Completed in UI, file in
quarantine, never delivered.
Fix: explicit checks for `_integrity_failure_msg` and
`_race_guard_failed` markers BEFORE the assume-success fallback.
Either marker set → task status='failed' with descriptive
error_message + `_notify_download_completed(success=False)`. The
pre-existing assume-success behavior preserved when no failure
markers are set (some legitimate flows complete without setting
`_final_processed_path`).
Bug 2 — AcoustID skip-logic too lenient
(`core/acoustid_verification.py`):
The "language/script" exemption was:
if best_score >= 0.95 and (title_sim >= 0.55 or
artist_sim >= ARTIST_MATCH_THRESHOLD):
The OR-clause fired for English-vs-English titles by the same artist
that share NO actual content. Confirmed in user's log: requested
"Rich (Interlude)" by Kendrick Lamar, AcoustID identified the audio
as "R.O.T.C. (interlude)" by Kendrick Lamar (a totally different
song from his 2010 mixtape) — same artist scored ≥ARTIST threshold,
shared word "interlude" pushed title_sim above 0.55, skip fired.
Verification returned SKIP instead of FAIL, the wrong file was
accepted as the answer for three different track requests.
Fix: skip now requires positive evidence the mismatch is a real
language/script case:
(a) Non-ASCII chars present in either title AND artist matches strongly
→ real transliteration case (kanji ↔ romaji etc)
(b) BOTH title_sim >= 0.80 AND artist_sim >= ARTIST threshold
→ minor punctuation/casing differences
English-vs-English with very different titles by the same artist no
longer skipped — verification correctly returns FAIL, the wrong file
gets quarantined, the new wrapper logic above marks the task failed.
Tests:
- `tests/test_integrity_failure_marks_task_failed.py` — 4 cases
pinning the wrapper-level state machine: integrity marker → failed,
race-guard marker → failed, no markers → still assumes success
(legacy path preserved), integrity-failure-takes-priority over
missing-final-path fallback.
- `tests/test_acoustid_skip_logic.py` — 7 cases pinning the skip
exemption: user's R.O.T.C-vs-Rich case → FAIL (regression test),
Savior-vs-R.O.T.C → FAIL (same bug surface), Japanese kanji →
romaji → SKIP (real language case still works), MAAD vs M.A.A.D →
PASS or SKIP (punctuation tolerance), low fingerprint score →
never skipped, high score but artist mismatch → no longer skipped,
Crown vs Crown of Thorns → no longer skipped.
Verified: full suite 1793 pass (11 new), ruff clean.
WHATS_NEW entry under '2.4.2' dev cycle.
Discord report (Samuel [KC]): tracks of the same album sometimes carry
different MUSICBRAINZ_ALBUMID tags, which causes Navidrome (and other
media servers grouping by album MBID) to split the album into multiple
entries. Two-part fix — one for existing libraries, one for the root
cause that lets new imports drift.
Part 1 — Detector + fix action (catches existing dissenters):
`core/repair_jobs/mbid_mismatch_detector.py`:
- New helpers: `_read_album_mbid_from_file` and
`_write_album_mbid_to_file` use the Picard-standard tag conventions
(`TXXX:MusicBrainz Album Id` for MP3, `MUSICBRAINZ_ALBUMID` for
FLAC/OGG, `----:com.apple.iTunes:MusicBrainz Album Id` for MP4).
- New scan phase `_scan_album_mbid_consistency` runs after the
existing track-MBID scan: groups tracks by DB `album_id`, reads
each track's embedded album MBID, finds the consensus
(most-common) MBID via `Counter`, flags dissenters. Tracks without
an album MBID at all are skipped (they don't break Navidrome —
only an explicit MBID disagreement does). Albums where MBIDs are
perfectly tied (no clear consensus) are skipped too — surface as
a manual decision instead of fixing toward a 1/N tie.
- New finding type `album_mbid_mismatch` carries `consensus_mbid`,
`wrong_mbid`, `consensus_count`, `total_tracks_with_mbid`, and a
human-readable reason string.
`core/repair_worker.py`:
- Added `'album_mbid_mismatch': self._fix_album_mbid_mismatch` to the
fix dispatch dict and to the `fixable_types` tuple so auto-fix +
bulk-fix paths pick it up.
- New `_fix_album_mbid_mismatch` method reads `consensus_mbid` from
finding details, resolves the dissenter's file path via the shared
library resolver, calls `_write_album_mbid_to_file` to rewrite the
tag in place. Doesn't touch the album's other tracks (they're
already in agreement).
Part 2 — Root cause fix (prevents new SoulSync imports from drifting):
The original in-memory `mb_release_cache` in `core/metadata/source.py`
maps `(normalized_album, artist) -> release_mbid` so per-track
enrichment of the same album hits the cache and writes the same
MUSICBRAINZ_ALBUMID to every track. That cache is bounded (4096
entries) and in-process — so cache eviction (when other albums are
processed in between) and server restart can BOTH cause
inconsistency. Per-track album-name variation (e.g. some tracks
tagged `"Album"`, others tagged `"Album (Deluxe)"`) and per-track
artist variation (features) make it worse.
`core/metadata/album_mbid_cache.py` (new module):
- DB-backed `lookup(normalized_album, artist) -> release_mbid` and
`record(...)` functions. Same key shape as the in-memory cache.
- Strict additive design: every public function is wrapped in
try/except and degrades to None / no-op on ANY database error.
The existing in-memory cache + MusicBrainz lookup remains the
authoritative fallback. If this module breaks, downloads continue
exactly as they would today.
`database/music_database.py`:
- New `mb_album_release_cache` table with composite primary key
`(normalized_album_key, artist_key)`. Reverse-lookup index on
`release_mbid` for future debug tooling. Created via the existing
`CREATE TABLE IF NOT EXISTS` migration pattern — idempotent, no
schema version bump needed.
`core/metadata/source.py`:
- Surgical change inside the existing `embed_source_ids`
in-memory-cache-miss branch: BEFORE calling MusicBrainz, consult
the persistent cache. If a previous SoulSync run already resolved
this album's release MBID, reuse it. After a successful MB lookup,
store in BOTH caches. Both calls wrapped in defensive try/except
so any failure falls through to existing logic.
Tests:
- `tests/metadata/test_album_mbid_cache.py` — 16 cache tests:
round-trip, idempotent re-record, overwrite semantics, clear_all,
album+artist independence (no Greatest Hits collisions),
defensive None-on-empty-input, graceful degradation when the DB
is unavailable / connection raises / commit fails, schema sanity
(table + index exist after init).
- `tests/test_album_mbid_consistency.py` — 13 detector tests:
tag read/write round-trip on real FLAC files, Picard-standard tag
descriptors, defensive paths (unreadable file, empty input),
detector behavior (agreement → no flags, lone dissenter → flag,
ties → no flag, single-track albums → skipped, no-MBID tracks →
skipped, unresolvable file paths → skipped).
- `tests/metadata/test_metadata_enrichment.py` — added autouse
fixture monkeypatching the persistent cache to no-op for tests in
this file. The existing tests pin per-call MB counts and
in-memory cache state; without the fixture, persistent rows from
earlier tests would bypass the MB call. Persistent layer has its
own dedicated tests.
Verified: 1782 tests pass (29 new), ruff clean, smoke test confirms
end-to-end cache round-trip works.
WHATS_NEW entry under '2.4.2' dev cycle.
Investigation surfaced that Lidarr was wired into the orchestrator but
the actual download flow had blockers:
1. **Wrong file misfiled.** Lidarr grabs whole albums; SoulSync's
matched-context post-processing wants the SPECIFIC track the user
requested. Old code copied every track in the album and reported
`imported_files[0]` as `file_path` — almost always pointing to
track 1, not the user's actual track. Post-processing then tagged
track 1 with the requested track's metadata. Misfiling on every
real download.
Fix: parse the wanted track title out of the dispatch display name
(which `_search_sync` already builds as
`f"{artist} - {album} - {track_title}"`), look it up against
Lidarr's `track` API, resolve the matching `trackFileId` to a path,
and copy ONLY that file. Punctuation-tolerant fuzzy match handles
the common "m.A.A.d city" vs "maad city" case. Album-level
dispatches (no track in the display) preserve the old first-file
fallback so existing album-grab UX is unchanged.
2. **Hardcoded `metadataProfileId=1`.** Required by Lidarr's
artist-add API. On installs where the user deleted/recreated
metadata profiles, that id no longer exists and the call fails
with HTTP 400 — which silently breaks every download flow that
needs to add an artist. Real-world Lidarr installs do this all
the time.
Fix: `_get_metadata_profile_id()` calls Lidarr's `metadataprofile`
API and returns the first available id. Falls back to 1 only when
the API call fails entirely (preserves previous behavior so this
change can't make things worse).
3. **Polling never broke the outer loop on completion.** The inner
`for item in queue['records']` had `break` statements at status
transitions, but those only escaped the queue iteration — the
outer `for poll in range(max_polls)` kept spinning until the
600-poll timeout even after the album was clearly imported.
`for/else` semantics didn't apply because completion was detected
inside the inner loop, not by it running to exhaustion.
Fix: replaced with an explicit `download_complete` flag set when
`album/{id}` reports `trackFileCount > 0` (the authoritative
completion signal — works even when the queue record disappeared
between polls). Outer loop breaks immediately once the flag flips.
Helper functions added: `_extract_wanted_track_title` (staticmethod,
splits the display name; >=3 parts → track dispatch, 2 parts → album
dispatch), `_normalize_for_match` (lowercase + strip punctuation +
collapse whitespace for fuzzy compare), `_title_similarity` (cheap
score: equal=1.0, substring=0.85, token-overlap-ratio otherwise),
`_pick_track_file_for_wanted` (orchestrates the API calls).
Settings tooltip updated to be honest about Lidarr's natural shape:
album-grabber, no-op for playlist sync, hybrid mode falls through to
other sources for track searches. Sets correct expectations.
Tests: `tests/test_lidarr_download_client.py` — 21 isolated tests
covering pure helpers (title extraction, normalization, similarity)
and the file-picker integration paths (matching path, punctuation
tolerance, below-threshold fallback, missing trackFileId, missing
file on disk, API failures, malformed responses). No live Lidarr
needed — `_api_get` mocked at the client boundary.
Isolation: ONLY touches `core/lidarr_download_client.py`, the Lidarr
settings tooltip in `webui/index.html`, the Lidarr WHATS_NEW entry
in `webui/static/helper.js`, and the new test file. No changes to
the orchestrator, other download clients, the import pipeline,
side_effects, web_server.py, settings.js, or any shared validation /
monitor / task_worker code. Other download sources are not affected
in any way.
Verified: 1753 tests pass (21 new), ruff clean.
User report: switched download source to SoundCloud and noticed:
1. Download progress % stays at 0 until "suddenly done" — no live progress
2. Sidebar status indicator next to "SoundCloud" label is red
3. Dashboard service status card still shows "Soulseek" as the source name
Fix 1 — Live progress for HLS-segmented SoundCloud downloads
(`core/soundcloud_client.py`):
- yt-dlp's `total_bytes` / `total_bytes_estimate` for HLS describes the
CURRENT FRAGMENT, not the whole download. So the byte-based
percentage stayed near 0 the entire time — until 'finished' fired.
- Added `_update_download_progress_fragmented` which uses
`fragment_index` / `fragment_count` (which yt-dlp DOES populate
accurately for HLS) to compute a meaningful percentage. Total size
is extrapolated from per-fragment average for the bytes/remaining
display. Time-remaining estimate uses elapsed/index seconds-per-
fragment.
- The progress hook prefers fragment progress when both fragment_index
and fragment_count are present; falls back to byte-based for
non-fragmented (progressive MP3) downloads. Five new unit tests pin
the fragment-progress math, the 99.9% cap, and the defensive
zero-index / unknown-id paths.
Fix 2 — Sidebar status indicator stays green for SoundCloud mode
(`web_server.py`):
- The `/api/status` route's `serverless_sources` tuple decides whether
to even probe slskd. SoundCloud (and Lidarr) were missing — so when
the active source was SoundCloud, the route fell through to "test
slskd, mark not-relevant", which set `connected: False` and turned
the sidebar dot red even though SoundCloud was working.
- Added `'soundcloud'` and `'lidarr'` to the tuple. Both are
serverless from slskd's perspective, so the dot now stays green
whenever they're the active source.
Fix 3 — Dashboard service card title shows the active source
(`webui/static/shared-helpers.js`):
- The dashboard's "Download Source" card has its own
`sourceNames` map at line 3351 (separate from the sidebar map I
already updated at 3396). Missed it during the integration PR.
- Added `'lidarr'` and `'soundcloud'` so the card title now reads
"SoundCloud" / "Lidarr" instead of falling back to "Soulseek".
Bonus — Dashboard "Test Connection" button works for SoundCloud
(`core/connection_test.py`):
- The dashboard's Test Connection button on the download-source card
sends `service` based on the active source — so for SoundCloud it
was sending `service='soundcloud'`. `run_service_test` had no
branch for it, so it fell through to "Unknown service." and the
button always failed.
- Added a `soundcloud` branch that mirrors `/api/soundcloud/status`
behavior: confirms yt-dlp is installed, runs a real cheap probe,
returns a meaningful pass/fail. (HiFi has the same gap but no
user reported it; out of scope for this fix.)
Verified:
- 41 unit tests pass (5 new fragment-progress tests added)
- Full suite 1732 passed
- Ruff clean
Plug the previously-built SoundcloudClient (PR #478, the build-and-verify
phase) into every place a download source needs to appear. Follows the
same wiring contract as Tidal/Qobuz/HiFi/Deezer/Lidarr — orchestrator
routing, hybrid-mode picker, search dispatch, queue/cancel/clear,
provenance + library history, sidebar source label, settings UI all
work plug-and-play.
Backend wiring:
- `core/download_orchestrator.py` — import SoundcloudClient, _safe_init
it at startup, add to _client() lookup, get_source_status(),
check_connection's sources_to_check default, search source_names map,
search_and_download_best _streaming_sources tuple, download
source_map + source_names, and every iteration loop in
reload_settings download-path-update / get_all_downloads /
get_download_status / cancel_download (route + iterate) /
clear_all_completed_downloads / cancel_all_downloads.
- `core/downloads/monitor.py` — added SoundCloud to the per-client
loop that fetches active downloads outside the orchestrator (uses
getattr fallback for older soulseek_client snapshots).
- `core/downloads/task_worker.py` — added SoundCloud (and Lidarr,
which was missing too — bonus fix) to source_clients dict for hybrid
fallback dispatch.
- `core/downloads/validation.py` — added 'soundcloud' to
_streaming_sources so SoundCloud results go through the matching
engine validation path instead of the Soulseek quality-filter path.
- `core/imports/side_effects.py` — three call sites: source_map for
download_source label written to library_history, streaming-source
guard for the `||`-encoded stream_id parsing, and source_service
map for provenance recording. All three now include 'soundcloud'.
- `web_server.py` — five streaming-source detection tuples updated.
New `/api/soundcloud/status` endpoint returns
{available, configured, reachable} mirroring the Deezer/HiFi
status-endpoint pattern; reachability runs a real cheap yt-dlp
search so the settings Test Connection button gives a meaningful
pass/fail signal.
- `config/settings.py` — added empty `soundcloud_download` defaults
block so future tier-2 OAuth (SoundCloud Go+ session) doesn't have
to migrate existing configs.
Frontend:
- `webui/index.html` — new `<option value="soundcloud">` in the
download-source-mode dropdown, SoundCloud added to both hidden
legacy hybrid-source selects, new settings container with info
text + Test Connection button.
- `webui/static/settings.js` — HYBRID_SOURCES entry (with the
SoundCloud cloud SVG icon), _hybridSourceEnabled default,
updateDownloadSourceUI container display, allSources for legacy
hybrid picker, testSoundcloudConnection function (hits the new
status endpoint, color-codes the result), saveSettings
soundcloud_download empty block.
- `webui/static/shared-helpers.js` — sidebar source-name map
includes SoundCloud + Lidarr (Lidarr was also missing, bonus fix).
- `webui/static/helper.js` — WHATS_NEW entry under '2.4.2' dev cycle
describing the user-visible change in the chill terse voice.
Tests:
- `tests/test_download_orchestrator_soundcloud.py` — 14 integration
tests verifying the wiring: client constructed at startup, _client
lookup resolves 'soundcloud', get_source_status includes it,
download dispatcher routes username='soundcloud' to the SoundCloud
client (and unknown usernames still fall back to Soulseek), hybrid
search iterates SoundCloud when in order and skips it cleanly when
unconfigured, get_all_downloads / get_download_status / cancel /
clear walk SoundCloud, soundcloud-only mode dispatches only to
SoundCloud, _streaming_sources tuple in validation includes
'soundcloud'.
- `tests/downloads/test_download_orchestrator.py` — added
`soundcloud` to the test fixture's _build_orchestrator helper so
the new orchestrator attribute doesn't AttributeError in pre-
existing tests that bypass __init__.
Verified:
- Full suite green (1728 passed, 2 deselected for soundcloud_live)
- Ruff clean
- Live SoundCloud-only mode search returns 25 SoundCloud tracks for
"kendrick lamar luther" in <2s, returning properly-shaped
TrackResult objects with username='soundcloud' and dispatch-key
filename ready for the download path.
Out of scope (intentional deferrals):
- SoundCloud Go+ OAuth tier (256 kbps AAC) — anonymous-only for now.
Adding auth later is a settings-page extension, no orchestrator
changes needed.
- Album/playlist support — SoundCloud has playlists but they don't
map to the album model the rest of SoulSync expects. Singles only.
Discord request (Toasti): some tracks (DJ mixes, sets, removed Spotify
content) only live on SoundCloud. Add SoundCloud as an option for the
existing multi-source download dispatch.
This commit only ships the client + tests. Integration into the search
dispatch / settings UI / web_server.py routes is intentionally deferred
to a follow-up PR — the user-requested workflow is build-and-verify
in isolation first, then wire up.
`core/soundcloud_client.py`:
- SoundcloudClient class mirrors the public surface of every other
download client (TidalDownloadClient, QobuzClient, HiFiClient,
DeezerDownloadClient): __init__(download_path), set_shutdown_check,
is_available / is_configured / is_authenticated, async check_connection,
async search returning (List[TrackResult], List[AlbumResult]),
async download returning a download_id, _download_thread_worker /
_download_sync / _update_download_progress, async get_all_downloads /
get_download_status / cancel_download / clear_all_completed_downloads.
- Underlying lib: yt-dlp (already in requirements.txt as 2026.3.17).
- Anonymous-only — public SoundCloud tracks at the cap quality (typically
128 kbps MP3, occasionally 256 kbps AAC depending on the upload).
No FLAC ever; SoundCloud doesn't expose lossless. OAuth tier for
SoundCloud Go+ is documented in the module header as a future tier.
- Returns standard TrackResult / DownloadStatus dataclasses from
core.soulseek_client so downstream matching/post-processing stays
source-agnostic.
- Filename dispatch key encodes track_id + permalink_url + display_name
so the download worker has everything without re-querying.
- Heuristic "Artist - Title" parser handles SoundCloud uploaders'
typical title format; falls back to uploader handle as artist when
the title doesn't have a separator.
- Defensive: search returns empty on bad input, missing yt-dlp, or any
raised exception. Download sync rejects files under 100KB (preview
snippets / broken responses) and cleans them up.
- Cooperative cancellation via shutdown_check inside yt-dlp's
progress_hooks. Cancelled state survives the download thread's
terminal-state assignment.
`tests/test_soundcloud_client.py`:
- 37 unit tests with yt-dlp stubbed: search shape correctness, the
artist/title heuristic, the dispatch-key roundtrip, the download
state machine (success / failure / shutdown / Cancelled-state
preservation), the progress emitter (progress capping, time
remaining), defensive paths (missing yt-dlp, raising yt-dlp,
malformed entries, empty entries), and the cancel/clear ledger
operations.
- 2 live integration tests gated behind `-m soundcloud_live` so CI
doesn't run them by default. Run locally with:
python -m pytest tests/test_soundcloud_client.py -m soundcloud_live -v
- All 37 unit tests pass; both live tests pass against real SoundCloud.
- Verified end-to-end with a real album download (Kendrick GNX, 12/12
tracks, 4-7 MB each, completed under 60s per track).
`pyproject.toml`:
- Register the `soundcloud_live` pytest marker so the unknown-mark
warning is suppressed and the live tests can be cleanly gated.
Not changed: web_server.py, settings UI, search dispatch, matching
engine, WHATS_NEW. Integration is the next PR.
GitHub issue #476 (gabistek, Docker on Arch host): "Auto-Fill" / "Fix
Selected" on the Album Completeness findings page returned
"Could not determine album folder from existing tracks" for every album.
Reproduces on any setup where the media-server library lives outside the
SoulSync transfer/download folders — Docker is the headline case but
native installs that point Plex at a NAS via SMB hit it too.
Root cause: `core/repair_worker.py:_resolve_file_path` only probed the
transfer + download folders. Docker users have their Plex/Jellyfin
library bind-mounted at /music (or similar) — neither configured in
SoulSync. Every existing track got silently treated as missing, so
`album_folder` stayed None and the fix workflow bailed.
The same incomplete logic was duplicated four more times in the
repair_jobs/ modules, all with the same bug. Album Completeness was
just the most user-visible — the same setups were also producing false
"missing file" findings from Dead File Cleaner, silent skips in
MBID Mismatch Detector, etc.
The web server already had the correct logic at
`web_server.py:_resolve_library_file_path` (probes transfer + download
+ Plex-reported library locations + user-configured library.music_paths).
The repair workers had never been updated to match.
Fix:
- New `core/library/path_resolver.py` extracts the union logic into a
single shared function `resolve_library_file_path()`. Probes (in
order, deduped): explicit transfer/download kwargs, config-derived
soulseek.transfer_path/download_path, Plex-reported library
locations (when a plex_client is passed), user-configured
library.music_paths. Each defensive: malformed config or a flaky
Plex client degrades to the dirs that did succeed.
- `core/repair_worker.py:_resolve_file_path` becomes a delegating
wrapper preserving the legacy signature, with a new `config_manager`
kwarg. All 15 in-tree call sites updated to thread
`self._config_manager` through.
- `core/repair_jobs/dead_file_cleaner.py`,
`mbid_mismatch_detector.py`, and `lossy_converter.py` get the same
treatment: duplicate function replaced with a thin wrapper, call
sites pass `context.config_manager`.
- `core/repair_jobs/acoustid_scanner.py` and
`unknown_artist_fixer.py` (which used to import from repair_worker)
now call the shared resolver directly with `context.config_manager`.
Side benefit: every other repair job (Dead File Cleaner, MBID
Mismatch Detector, Lossy Converter, AcoustID Scanner, Unknown Artist
Fixer) also stops missing files in the media-server library mount.
Single fix unblocks five user-visible features.
Tests: `tests/library/test_path_resolver.py` — 20 cases covering all
four base-dir sources, suffix-walk algorithm, dedup, defensive paths
(None plex client, malformed config entries, raising config_manager.get,
broken plex attribute access), Docker path translation. Full suite
1677 passed locally.
WHATS_NEW entry under '2.4.2' dev cycle.
Discord report (fresh.dumbledore [VRN]): slskd sometimes ships broken files
(truncated transfers, corrupt FLAC, wrong file substituted on filename match).
They flowed through post-processing and only surfaced later — Plex/Jellyfin
scan failures, dead-air playback, duplicate detector tripping over the wrong
length. By that point the file was already tagged, copied, mirrored to the
media server, and recorded in provenance.
New module `core/imports/file_integrity.py`:
- `check_audio_integrity(path, expected_duration_ms=None) -> IntegrityResult`
- Three tiered checks, cheapest to most expensive:
1. File size sanity (catches 0-byte stubs and stub transfers)
2. Mutagen parse (catches header damage, wrong-format-with-right-extension)
3. Duration agreement vs. metadata source's expected length, ±3s tolerance
(5s for tracks over 10 minutes — long tracks naturally drift more)
- Returns IntegrityResult with `ok`, human-readable `reason`, and per-check
`checks` dict for debugging
- Never raises; pathological inputs return ok=False with explanation
Pipeline integration in `core/imports/pipeline.py:post_process_matched_download`:
- Hooks between the existing file-stability wait and AcoustID verification
- On failure: quarantine via existing `move_to_quarantine` helper, mark task
failed with descriptive error, clear matched-context, fire
`on_download_completed(success=False)` so the slot is released for retry
- Mirrors the existing AcoustID-failure path so retry behavior stays consistent
- Wrapped in try/except so an unexpected failure inside the check itself
cannot block downloads — logs and continues
This is intentionally tier 1: universal across formats, no external deps.
A future tier could verify FLAC STREAMINFO MD5 by decoding audio (needs
flac binary or libflac wrapper) — skipped for now since tier 1 catches the
dominant Discord-reported cases (truncated, 0-byte, wrong file).
Tests:
- `tests/imports/test_file_integrity.py` — 14 cases covering all three check
tiers, edge cases (zero/negative expected duration, long-track wider
tolerance, caller tolerance override), and the mutagen-unavailable
degradation path
- `tests/imports/test_import_pipeline.py` — two existing tests use 5-byte
fixture files that the new check would reject; they monkeypatch the
integrity check since they're testing plumbing (notification +
metadata_runtime forwarding), not integrity behavior
WHATS_NEW entry under '2.4.2' dev cycle.
The 'Live Per-Track Progress' work shipped a backend in-progress row + top-of-tab
progress text but the history cards themselves stayed visually stale during
processing — lowercase "processing" badge, neutral styling, no per-track hint.
Smoke-testing also surfaced two latent identification bugs that prevented
multi-disc rips with features (Kendrick GKMC Deluxe) from importing at all.
Card-level live progress (`webui/static/stats-automations.js`):
- Cache `/api/auto-import/status` response in `_autoImportLastStatus`; poller
awaits status before re-rendering results so the card has the live data.
- Add 'processing' entries to statusLabels / statusIcons / statusClass.
- When card folder_name matches `current_folder`, swap the meta line to
`track N/M: <track name>` and tag the matching row in the expanded list
as `auto-import-track-row-active`; prior rows tag as `-row-done`.
Card styling (`webui/static/style.css`):
- `.auto-import-processing` blue left border, `.auto-import-badge-processing`
pulse animation, active/done track-row classes.
Multi-disc enumeration (`core/auto_import_worker.py:_scan_directory`):
- Old code skipped disc folders during recursion AND only attached them to a
parent that had its own loose audio. A folder containing only `Disc 1/`,
`Disc 2/` was invisible. Now: when a directory has only disc subdirs and no
loose audio, treat that directory itself as the album candidate. Disc folders
still skipped when standing alone.
- Add `FolderCandidate.is_staging_root` flag (set when the staging dir itself
becomes the candidate via this path) so identification can refuse to use the
meaningless folder name.
Tag identification (`core/auto_import_worker.py:_identify_from_tags`):
- Per-track `artist` tag fragmented consensus on albums with features
("Kendrick Lamar" / "Kendrick Lamar, Drake" / "Kendrick Lamar, Dr. Dre"
produced 3 separate `(album, artist)` keys for one album). Now group by
album first, then pick the most-common artist within that album group.
- `_read_file_tags` now prefers `albumartist` over `artist` for album-level
identity; falls back to `artist` for files without albumartist.
- Add INFO-level log when tag identification rejects, showing top albums and
their counts so the user can diagnose multi-disc / tagging issues.
Folder-name false-match guard (`core/auto_import_worker.py:_identify_folder`):
- When `is_staging_root` is set, skip the folder-name strategy entirely. Logs
the skip and falls through to AcoustID. Without this, dropping disc folders
directly into staging caused the scanner to search the metadata source for
the literal name "Staging", which false-matched against random albums (e.g.
"Stamina, Dinos" — a French rap album — at 13% confidence).
What's New entries added under 2.4.2 dev cycle.
User reported (Mushy / generally) that dropping an album into the
staging folder left the auto-import history blank for the entire
processing window — sometimes 5+ minutes for a full album. Pre-
existing UX gap, not caused by the recent context-builder refactor.
Two root causes:
1. ``_record_result`` only fired AFTER ``_process_matches`` returned.
For a 14-track album with ~30s/track post-processing, that meant
~7 minutes of zero rows in auto_import_history → nothing for
``/api/auto-import/results`` to return → empty UI.
2. ``_current_status`` only ever transitioned between 'idle' and
'scanning' — never 'processing'. ``get_status()`` had no per-
track index/name fields, so the UI had no way to render
"Processing track 3/14: Mine" even if it wanted to.
Fix:
- New ``_record_in_progress`` inserts a status='processing' row
up-front (before the per-track loop starts) so the UI sees the
import the moment it begins. Returns the row id.
- New ``_finalize_result`` updates that same row with the final
outcome (completed/failed) when processing finishes. One row per
album, not per track — keeps the history list clean.
- Both share ``_serialize_match_data`` (extracted from the original
``_record_result``) so the in-progress row carries the same match
payload shape the existing review UI already understands.
- ``_process_matches`` updates ``_current_track_index``,
``_current_track_total``, and ``_current_track_name`` BEFORE each
per-track callback fires, so a polling UI sees consistent
"processing N/M: <name>" snapshots.
- ``_scan_cycle`` flips ``_current_status`` to 'processing' before
the per-album loop, resets it + the per-track fields after.
Defensive ``finally`` clears progress even if the inner code path
raised.
- ``get_status()`` exposes the new fields so the UI's existing
/api/auto-import/status polling picks them up.
- Frontend (stats-automations.js): renders the new
``current_status='processing'`` state with track index/total/name
in the existing progress bar element. New 'processing' status
class for styling parity with 'scanning'.
8 regression tests in tests/imports/test_auto_import_live_progress.py:
- get_status surfaces the new fields with sane defaults
- track_index advances 1, 2, 3 during a 3-track loop
- track_total set BEFORE the first callback fires (no '1/0' flicker)
- _record_in_progress writes status='processing' with no
processed_at
- _finalize_result updates the same row to completed +
processed_at, no second insert
- _finalize_result with failed status leaves processed_at NULL
- _finalize_result with row_id=None is a safe no-op
- Per-track fields cleared by _scan_cycle's finally block
Full pytest 1643 passed; ruff clean.
Smoke-testing the just-merged provenance PR against live logs revealed
the new ID-match block was silently no-opping: no [ExtID Match] /
[Provenance Match] log lines despite the code path being live. Tracing
revealed two related gaps in extract_external_ids' source detection:
1. **Underscore-prefixed key.** Deezer / Discogs / Hydrabase clients
tag normalized track dicts with ``_source`` (underscore prefix —
convention used in 8+ places across core/). The extractor only
looked for ``provider`` and ``source``, so Deezer-sourced tracks
silently returned no IDs.
2. **No provider field at all.** Spotify and iTunes raw API responses
carry ``id`` but no provider/source key of any kind. The extractor
couldn't disambiguate the native ``id``, so Spotify-primary scans
would have hit the same silent miss once the user switched primary
sources.
Two-part fix:
- ``extract_external_ids`` now recognizes ``_source`` as another
candidate provider field.
- New optional ``source_hint`` parameter lets the caller supply the
configured primary source as a fallback when the track dict has no
provider field of its own. Track-side provider field still wins
when present (defensive against a wrong hint).
Watchlist scanner now passes ``get_primary_source()`` as the hint so
both naming conventions (Deezer-style _source, Spotify-style no-tag)
get handled uniformly.
6 new regression tests cover:
- _source recognized for Deezer
- _source recognized for Hydrabase (cross-provider mapping)
- _source recognized for Discogs (no library column — verifies
graceful no-crash)
- source_hint disambiguates raw tracks for spotify/itunes/deezer
- track-side provider takes precedence over hint
- None hint defaults safely
Full pytest 1630 passed; ruff clean. After this lands and the server
restarts, watchlist scans should produce [ExtID Match] /
[Provenance Match] log lines for tracks already on disk regardless of
which metadata source the user has configured as primary.
Followup to fix/watchlist-external-id-match. The companion PR closed
the demand side — the watchlist scanner asks for tracks by external IDs
before falling back to fuzzy. But for users on Plex / Jellyfin /
Navidrome the supply side was still broken: tracks.spotify_track_id
(and the other ID columns) only got populated by the asynchronous
enrichment workers, sometimes hours after the file was actually
written. During that window the ID match fell through to fuzzy and
the bug returned.
We were already collecting every ID during post-processing — they
live in the `pp` dict in core/metadata/source.py:embed_source_ids and
get embedded into file tags. We just dropped the in-memory copy
afterwards.
This PR persists them and uses them:
- Schema migration adds spotify_track_id / itunes_track_id /
deezer_track_id / tidal_track_id / qobuz_track_id /
musicbrainz_recording_id / audiodb_id / soul_id / isrc columns +
indexes to the existing track_downloads table (already keyed by
file_path).
- core/metadata/source.py:embed_source_ids exposes pp["id_tags"] and
the resolved ISRC back to the import context as _embedded_id_tags
/ _isrc.
- core/imports/side_effects.py:record_download_provenance reads those
context fields and passes them to db.record_track_download, which
now accepts the new ID kwargs and persists them.
- New db.get_provenance_by_file_path with exact + basename-suffix
fallback (handles container mount-root differences between
download-time path and media-server-reported path).
- New db.backfill_track_external_ids_from_provenance copies IDs
from track_downloads onto a tracks row idempotently — COALESCE on
every column preserves any value the enrichment worker already
wrote (enrichment is more authoritative for late binding).
- database/music_database.py:insert_or_update_media_track (the
single insertion point used by every Plex / Jellyfin / Navidrome
sync) calls the backfill immediately after each INSERT/UPDATE.
- New core/library/track_identity.py:find_provenance_by_external_id
used as a second-tier fallback in watchlist_scanner.is_track_missing
_from_library — catches the window between download and media-server
sync. Caller checks os.path.exists on the provenance file_path
before treating it as "already in library" so a deleted file
doesn't prevent re-download.
Effect: freshly downloaded files become ID-recognizable to the
watchlist on the very next scan, no enrichment-wait window.
19 regression tests in tests/test_provenance_id_persistence.py:
- Schema migration adds expected columns + indexes
- record_track_download persists every ID kwarg
- record_track_download backward-compat (old kwargs still work)
- get_provenance_by_file_path: exact match, basename fallback for
mount-root differences, multi-record latest-wins, defensive None
- backfill: copies all IDs, preserves existing via COALESCE,
no-op when no provenance exists
- find_provenance_by_external_id: per-ID lookup, ISRC cross-bridge,
OR semantics, latest-wins on multiple matches
Out of scope: backfilling provenance for files downloaded BEFORE
this PR (their track_downloads rows don't carry the new IDs). Those
continue to wait for enrichment. Acceptable — only affects historical
files; new downloads benefit immediately.
Full pytest 1625 passed; ruff clean.
Reported case (CAL): a track already on disk got re-downloaded by the
watchlist scanner on every scan. Library DB had stale album metadata
for the file (track tagged on album "Left Alone") while the metadata
source reported it on a different album ("NPC" single). The
title+artist+album fuzzy block correctly said the album names didn't
match and declared the track missing — but the file's stable external
IDs (Spotify ID, ISRC, etc.) unambiguously identified it as the same
recording.
The earlier compilation-album fix (PR #461) handled qualifier drift
("OST" vs "Music From The Motion Picture"). This case is two
genuinely different album names referring to the same song.
Fix: provider-neutral external-ID short-circuit before the fuzzy
block in `is_track_missing_from_library`. Pulls every recognized ID
off the source track (Spotify / iTunes / Deezer / Tidal / Qobuz /
MusicBrainz / AudioDB / Hydrabase / ISRC), runs a single SELECT
against the indexed external-ID columns on the `tracks` table, and
treats any hit as "track exists in library — don't re-download".
If no IDs are available (older imports without enrichment, library
scans that didn't populate external IDs), falls through to the
existing fuzzy logic so the safety net stays intact.
New `core/library/track_identity.py` module with two helpers:
- `extract_external_ids(track)`: handles dict and object-style track
shapes, direct-field aliases (spotify_id / spotify_track_id /
SPOTIFY_TRACK_ID), and provider-disambiguated native `id` fields
(when track has `provider='deezer'` and `id='X'`, treats X as a
Deezer ID).
- `find_library_track_by_external_id(db, external_ids,
server_source)`: builds an OR of indexed column matches with
IS NOT NULL guards, optional server_source filter that also
passes legacy NULL rows, single-row LIMIT.
ISRC bridges across providers — a library track imported via Deezer
can be matched against a Spotify scan when both sides carry the
same ISRC.
43 regression tests in `tests/test_library_track_identity.py`:
- 9 ID-extraction tests for direct fields (Spotify / iTunes / Deezer /
ISRC / MBID / AudioDB / Hydrabase)
- 8 ID-extraction tests via the provider field (8 providers + source
alias + missing-provider-ignored)
- 7 mixed/defensive tests (multiple IDs, object-style, empty strings,
None track, numeric coercion)
- 8 lookup tests (per-provider + ISRC cross-bridge)
- 3 OR-semantics tests
- 4 server_source filter tests
- 2 ID-column-map sanity tests
Full pytest 1606 passed; ruff clean.
Reported case (CAL): with lossy_copy.enabled=True,
lossy_copy.delete_original=True, and codec=mp3, every download left
both the original FLAC AND the converted MP3 in the target folder.
Users opting into a lossy-only library ended up dual-format on
every import.
Root cause: ``core/imports/file_ops.py:create_lossy_copy`` reads
``lossy_copy.codec`` and ``lossy_copy.bitrate`` from config but never
reads ``lossy_copy.delete_original``. The setting is only consulted
by the pre-move source-vanished check at
``core/imports/pipeline.py:651`` (so the pipeline knows to look for
a lossy variant when the FLAC has already moved on), but no code
path actually deletes the source after conversion.
Fix: after ffmpeg returns success and the QUALITY tag is written,
check ``lossy_copy.delete_original`` and ``os.remove`` the original
when enabled. Belt-and-suspenders:
- Same-path guard (``os.path.normpath(out_path) != os.path.normpath(final_path)``)
prevents accidentally wiping the just-converted file if a future
codec choice somehow resolves out_path to the source path.
- ``FileNotFoundError`` is treated as success (concurrent worker /
dedup cleanup got there first).
- Other ``OSError`` (permission denied, locked file) is logged but
doesn't propagate — the conversion already succeeded, the user just
has to clean up the original manually.
Failure paths skip the delete:
- ffmpeg returns non-zero → returns None, original stays
- lossy_copy.enabled=False → early return before conversion runs
- delete_original=False (default) → original stays
7 regression tests cover honored-when-enabled, kept-when-disabled,
default-keep, ffmpeg-failure-path, lossy-disabled-path, racing-delete,
and locked-file paths. Full pytest 1563 passed; ruff clean.
Note: this PR does NOT address the second bug CAL mentioned (track
re-downloaded despite already existing on disk). That symptom is
caused by stale album metadata on the user's existing files — the
library DB has the track tagged on a different album than the
metadata source reports — combined with wishlist.allow_duplicate_tracks
defaulting to True. Same class of issue partially addressed in PR
fix/watchlist-redownload-and-duplicate-detection but compilation-
album drift is the only currently-handled case. Tracking separately.
Discord-reported (Foxxify): logging in to Qobuz via the Connect
button on Settings showed "Connected: <username> (Active)" but
underneath an error said "Qobuz not authenticated...", and the
dashboard indicator stayed yellow. Saving settings or reloading the
tab didn't help.
Root cause: SoulSync runs two QobuzClient instances side by side —
one through soulseek_client.qobuz for the /api/qobuz/auth/* endpoints,
and a second owned by the enrichment worker thread for thread safety.
The login flow only updated the auth-flow instance's in-memory state
(plus persisted to config). The dashboard's "configured" check at
web_server.py:3371 reads
``qobuz_enrichment_worker.client.user_auth_token`` — the WORKER's
instance — which still believed itself unauthenticated. The
connection-test step at core/connection_test.py:370 hits the same
worker instance for the same reason.
Fix: add ``QobuzClient.reload_credentials()`` — a public, network-free
method that re-reads the saved session from config and updates the
instance's in-memory state + session headers. Call it on the
enrichment worker's client immediately after a successful
``/api/qobuz/auth/login``, ``/api/qobuz/auth/token``, or
``/api/qobuz/auth/logout`` so the two instances stay in lockstep
without waiting for the next process restart.
Unlike the existing ``_restore_session()`` this skips the network
probe — the caller has just authenticated, so the token is known
good. A small ``_sync_qobuz_credentials_to_worker()`` helper in
web_server.py wraps the call so all three endpoints share one path.
10 new regression tests cover the populate / clear / partial-config
paths plus the actual two-instance-sync scenario from the bug report.
Full pytest 1555 passed (the one pre-existing flake in
test_tidal_auth_instructions.py is order-dependent and unrelated).
- keep existing /api/image-proxy URLs from being wrapped again
- reuse the shared metadata package instead of duplicating URL logic in web_server.py
- add regression coverage for proxy passthrough and internal URL normalization
- Prefer real Spotify IDs when importing Spotify contexts
- Skip numeric fallback IDs so Deezer values do not leak into spotify_* columns
- Add regressions for import context and SoulSync library writes
- Keep the route test asserting the Spotify album link
- move Spotify status publishing onto auth, disconnect, and rate-limit transitions
- keep dashboard and debug consumers on the shared cached snapshot
- leave only the initial snapshot seed as a fallback probe
- move metadata-source and Spotify status caching out of web_server.py
- keep the public /status payload unchanged while shrinking server-side glue
- centralize invalidation and TTL handling in core/metadata/status.py
- Keep the primary metadata provider snapshot generic and move Spotify auth/rate-limit details into a separate status object.
- Update the websocket fixture and dashboard/settings consumers to read the two buckets independently.
The dashboard's enrichment-status bubbles (MusicBrainz, AudioDB,
Discogs, Deezer, Spotify, iTunes, Last.fm, Genius, Tidal, Qobuz) each
had its own copy-pasted /status, /pause, /resume route in web_server.py
— 30 routes that differed only in the worker reference and a couple
of per-service quirks (Spotify's rate-limit guard, Last.fm/Genius
yield-override behavior, Tidal/Qobuz extra status fields).
Replace them with a registry-driven blueprint:
- core/enrichment/services.py declares an EnrichmentService dataclass
with worker_getter, config_paused_key, pre_resume_check,
auto_pause_token, and extra_status_defaults — all variation captured
as data, no branching on service id.
- core/enrichment/api.py exposes a Flask blueprint with three routes
(/api/enrichment/<service>/{status,pause,resume}). Per-service
quirks are honored via the descriptor: Spotify's rate-limit ban
still returns 429 with `rate_limited: true`, Last.fm/Genius still
drop the auto-pause token and add the yield override, Tidal/Qobuz
still merge `authenticated: false` into the fallback payload.
- web_server.py registers all 10 services after their workers
initialize, wires the host-side hooks (config_manager.set,
_download_auto_paused.discard, _download_yield_override.add), and
registers the blueprint.
- webui/static/enrichment.js polling + click handlers now hit the
generic endpoints. The per-service `update<Service>StatusFromData`
functions are unchanged — they still process the same payload.
This is the cutover step. Old per-service routes are intentionally
left in place as a fallback during the soak period — they currently
have zero callers in the codebase and will be deleted in a follow-up
patch once production has run on the new pipeline for a few days.
27 new tests in tests/test_enrichment_services.py cover the registry
behavior + every quirk path through the generic blueprint (rate-limit
guard, auto-pause token cleanup, persisted-pause config keys, extra
default fields, worker-not-initialized fallback, exceptions). Full
suite 1541 passed; ruff clean.
Self-review of the previous commit found a real false-positive risk in
the new filename-bucket pass: two unrelated songs that happen to share
a canonical filename (e.g. ``Yellow.mp3`` by Coldplay vs by some other
artist) would be grouped because all metadata gates were dropped.
The filename pass now layers a safety net under ``require_metadata_match=False``:
- If both rows carry a duration: must agree within 3 seconds. Same
source download = identical duration; a 3+ second gap means
different recordings.
- Else if both rows carry an artist: relaxed 0.6 similarity check —
catches dedup orphans that share an artist tag while rejecting
strangers-with-same-filename.
- Else (no duration AND at least one artist blank): skip — too little
signal to safely group.
5 additional regression tests cover the false-positive prevention
paths plus the genuine dedup-orphan scenarios that must still be
caught after the safety net.
Two related bugs reported on Discord by Mushy.
1. The watchlist re-downloaded the same OST track up to 7 times.
``is_track_missing_from_library`` compared Spotify's album name and
the media-server scan's album name with a raw SequenceMatcher at a
strict 0.85 threshold. Compilations and soundtracks routinely fail
this — Spotify reports
``"Napoleon Dynamite (Music From The Motion Picture)"`` while the
Plex / Navidrome / Jellyfin tag scan saves it as
``"Napoleon Dynamite OST"``. Raw similarity ≈ 0.49, so the scanner
declared the track missing on every 30-minute scan and added it back
to the wishlist. The wishlist then issued a fresh download. slskd
appended ``_<19-digit-ns-timestamp>`` to each new copy because the
target file already existed, and the user ended up with seven copies
of one song in one folder.
Fix: extract two pure helpers — ``_normalize_album_for_match``
strips qualifier parentheticals (Music From X, OST, Deluxe Edition,
Remastered, Anniversary, etc.) and trailing dash-clauses;
``_albums_likely_match`` checks equality after normalization,
substring containment, and a relaxed 0.6 fuzzy ratio. A volume /
part / disc / standalone-trailing-number guard rejects pairs like
``"Greatest Hits Vol. 1"`` vs ``"Greatest Hits Vol. 2"`` so the
relaxed threshold doesn't introduce false positives on serialized
releases. After this change the Napoleon Dynamite case collapses
to ``"napoleon dynamite" == "napoleon dynamite"`` via the equality
short-circuit and the redownload loop dies.
2. The duplicate detector found only one of the seven dupe files.
The detector buckets tracks by the first 4 chars of their normalized
tag title. Files written by slskd directly into a library folder
often get inconsistent (or blank) tags from the media-server rescan,
so the seven copies were bucketed apart by parsed title and never
compared.
Fix: refactor the per-bucket comparison into ``_scan_bucket``, then
add a second pass — ``_build_filename_buckets`` re-buckets leftover
tracks by canonical filename stem (slskd dedup tail stripped via
``_strip_slskd_dedup_suffix``, same regex the import-cleanup PR uses)
plus extension. Filename agreement is itself strong evidence the
files came from the same source download, so the second pass calls
``_scan_bucket`` with ``require_metadata_match=False`` to skip the
title / artist / cross-album gates. The same-physical-file guard
still runs so bind-mount duplicates aren't flagged.
72 new regression tests across two files cover the album-match
helpers (28 tests including the Napoleon Dynamite scenario, 7 volume
disagreements, 8 positive/negative pairs, 5 defensive cases) and the
new filename-bucket pass (16 tests across bucket construction, scan
integration, and existing title-pass behavior). Full pytest 1509
passed; ruff clean.
Reported by Mushy in Discord.
slskd appends "_<19-digit unix-nanosecond timestamp>" to a downloaded
filename when the destination already contains a same-named file
(concurrent downloads of the same track, partial-file retries after a
connection drop, cancelled-then-redownloaded files, the same track
surfacing in multiple synced playlists). The file-finder code already
recognized the suffix when matching a download to its source — but
after the canonical file moved into the library, the leftover
"_<timestamp>" siblings sat orphaned in the downloads folder forever.
Reported on Discord by Shdjfgatdif.
cleanup_slskd_dedup_siblings() runs at the end of each successful
import (3 safe_move_file sites in pipeline.py) and prunes any
remaining siblings that strip down to the canonical stem with the
same extension. Conservative match (>= 18 trailing digits) keeps
legitimate filenames like "Track 5" and "Album 1995" untouched. Per-
file unlink failures are swallowed so a single locked file doesn't
block the rest.
17 regression tests cover the suffix-strip primitive, orphan removal,
no-op cases, mismatched extensions, subdirectories, and partial-failure
recovery.
- Flatten the Spotify service-status rendering so it shows rate-limit and recovery states explicitly, while otherwise displaying the active metadata provider directly.
- Keep the Spotify auth controls and metadata-source picker aligned with the real session state after authenticate and disconnect flows.
- Return "Unmapped" for unknown metadata source labels instead of implying iTunes.
- Update the metadata registry tests to cover the new label fallback.
- Send Spotify auth completion back to the opener so the settings page refreshes immediately
- Make the local auth flow go straight through to Spotify instead of showing the temporary instruction page
- Keep the remote/docker instruction page available for manual callback setups
- Sync Spotify status, connect/disconnect buttons, and metadata source selection after auth and disconnect
- Keep the disconnect behavior aligned with the active primary metadata source
- Hide the auth button when a Spotify session is active
- Treat disconnect as a session change, not a provider swap
- Share metadata source labels in the registry
- Tighten rate-limit copy around Spotify-specific behavior
Discord-reported (winecountrygames + fresh.dumbledore): "Import only
makes Albums folder no singles or eps". Users with a
${albumtype}s/$albumartist/... album_path template saw an "Albums"
folder fill up correctly but never any "Singles" or "EPs" folder.
build_import_album_info detected an album using
``total_tracks > 1`` AND ``album_name != track_title``. Spotify
singles fail both — total_tracks is 1 and the album is usually
named after the song. The result was that staging/auto-import
routed singles through single_path, which doesn't honour
$albumtype, so the user's per-type folder layout never applied.
Now also treats the metadata source's explicit release-type
classification ("single", "ep", "compilation") as evidence that
this is an album-shaped release, so it routes through album_path
and the user's $albumtype substitution runs. The default fallback
value "album" is deliberately excluded from this check so
single-track downloads with no real metadata behave exactly as
before.
Adds 10 regression tests covering the reported scenario, EP and
compilation explicit types, and three guards: normal multi-track
albums still detected, default 'album' type falls through, and
empty/unknown types fall through.
The /api/library/watchlist-all-unwatched endpoint required the
user's currently active metadata source's ID column on each library
artist. A Spotify-primary user with library artists only matched
against iTunes or Deezer saw them silently skipped — surfacing on
Discord as "Library and Watchlist not syncing correctly". The per-
artist Enhanced View sync sometimes "fixed" them because it triggered
metadata enrichment that occasionally populated the missing Spotify
ID, but couldn't help artists Spotify simply doesn't carry.
Extracts the picker as a standalone helper so it can be tested
directly:
core/watchlist/source_picker.py:pick_artist_id_for_watchlist
Picks the active source first when available, then falls back through
spotify -> itunes -> deezer -> discogs in registration order. Empty
strings count as missing. Numeric IDs are coerced to str so SQLite's
TEXT columns store them in the same form library code reads back.
Returns (None, None) only when the artist has zero source IDs — the
only legitimate skip reason now.
Adds 10 regression tests covering active-source priority for each
supported primary, fallback ordering through every secondary, the
zero-IDs base case, unrecognized active source (e.g. hydrabase still
falls through), empty-string handling, and numeric coercion.
The "Clean Search History" automation card kept showing a stale
'DownloadOrchestrator' object has no attribute 'base_url' error
even after the underlying handler bug was fixed in 77d20e9. Root
cause is in the engine, not that handler: AutomationEngine only
captured uncaught exceptions into last_error. Handlers that
report failure by RETURNING {'status': 'error', ...} were treated
as successful from the engine's perspective, so subsequent
gracefully-failing runs never updated the row to reflect the
current state.
Both the timer (run_automation) and event (_handle_event_trigger)
paths now extract the error string from a result whose status is
'error', falling through 'error' -> 'reason' -> 'message' -> a
placeholder so last_error is never None on actual failures
regardless of which key the handler chose. Existing behaviour for
raised exceptions and successful runs is preserved.
Also normalizes _auto_clean_search_history's return key from
'reason' to 'error' so older deployed engines that only check
the canonical key still see the failure.
Adds 7 regression tests covering every result shape the engine
might receive.
When users bind the same host music directory into both SoulSync
(e.g. /app/Transfer) and a media server like Plex (e.g.
/media/Music), both scans add a track row pointing at the same
physical file via different mount paths. The detector previously
flagged those as duplicate groups even though there's only one
file on disk.
New _is_same_physical_file helper filters pairs where:
- The trailing 3 path segments match (filename + album + artist
folder), so they're the same release on disk.
- The leading mount roots actually differ.
- Durations agree within 1s when both rows carry duration data.
Adds 10 regression tests covering the reported scenario plus
edge cases (Windows separators, case differences, missing
durations, sibling-album false-positive guard).
- normalize album.total_tracks before comparing it in wishlist classification
- avoid mixed-type comparisons when provider payloads serialize track counts as strings
- add regression coverage for numeric strings and invalid values
- carry track-level album art through the quality scanner normalization path
- preserve artist artwork when provider results expose it
- keep album.image_url and album.images populated so the wishlist UI can render the cover consistently
- add a regression test covering provider payloads with image_url on both the track and artist
Body byte-identical to the original. Spotify proxy via registry,
iTunes/Deezer client shims wrap registry helpers,
_resolve_library_file_path, _attempt_download_with_candidates, and
missing_download_executor are injected via init() right after
_init_wishlist_failed where all three deps are already defined.
web_server.py: 35239 → 35063 (-176 lines).
- search metadata providers in source-priority order for each generated query instead of caching one client for the whole scan
- keep the quality-scanner worker provider-neutral and preserve the no-provider error path
- update the quality-scanner tests and remove the obsolete web_server spotify_client injection
Body byte-identical to the original. Wishlist helpers come from
core.wishlist.* directly (aliased to the same names the body uses);
runtime state from core.runtime_state. automation_engine,
soulseek_client, and _sweep_empty_download_directories are injected
via init() right after _init_download_validation.
web_server.py: 35408 → 35239 (-169 lines).
Body byte-identical to the original. matching_engine and
soulseek_client are injected via init() right after _init_discover_hero
since both originals are constructed early in web_server.py boot
(L598/L610) and never rebound.
web_server.py: 35586 → 35408 (-178 lines).
Body byte-identical to the original. Spotify proxy via registry,
_get_active_discovery_source and get_current_profile_id redefined
as stateless shims, _get_metadata_fallback_client injected via init()
because it composes multiple registry helpers wired in web_server.py.
web_server.py: 35753 → 35586 (-167 lines).
Both function bodies (_discovery_score_candidates and
_search_spotify_for_tidal_track) are byte-identical to the originals.
The shared matching_engine instance is injected via init() right after
_init_connection_test; the spotify proxy + _get_metadata_fallback_source
shim follow the same pattern used elsewhere.
web_server.py: 36019 → 35753 (-266 lines).
Both function bodies byte-identical to the originals. The spotify
proxy resolves through core.metadata.registry; the tidal proxy is
backed by an injected getter so a Tidal re-auth that rebinds
web_server.tidal_client is visible. 13 state dicts and helpers are
injected via init() after _init_connection_test, when all deps
already exist.
web_server.py: 36260 → 36019 (-241 lines).
Body byte-identical to the original. Pure stdlib + requests, no
web_server-specific globals or runtime state — no init() needed.
web_server.py: 36500 → 36261 (-239 lines).
- Switch the download lifecycle over to the neutral wishlist track helper name
- Keep the old Spotify helper as a compatibility alias for older callers
- Store track_data as the primary failed-download wishlist payload key and add regression coverage
- Let the wishlist service accept both track_data and spotify_track_data
- Preserve the backward-compatible wrapper while avoiding the keyword argument crash
- Add a regression test for the alias path
- add neutral wishlist payload helpers while keeping legacy Spotify aliases
- route wishlist removal and classification through generic track data
- keep API and service compatibility for existing callers
Body byte-identical to the original. Five deps (soulseek_client,
qobuz_enrichment_worker, hydrabase_client, docker_resolve_url,
docker_resolve_path) are injected via init() right after the
register_runtime_clients block — that is the earliest point at which
hydrabase_client is guaranteed to exist.
web_server.py: 36833 → 36500 (-333 lines).
Body byte-identical to the original. The shared state dict, lock,
docker_resolve_path helper, and automation engine are injected via
init() at the lift point, where all four originals are already defined.
web_server.py: 37015 → 36833 (-182 lines).
Lifts _search_service and its _detect_provider helper. Both bodies are
byte-identical to the originals. The nine enrichment worker handles
(spotify/itunes/mb/lastfm/genius/tidal/qobuz/discogs/audiodb) are
injected via init() right after qobuz is constructed, which is the
last worker to come up — and well before Flask starts accepting
requests, so the route handlers never see unbound workers.
web_server.py: 37245 → 37015 (-230 lines).
Lifts _match_liked_artists_to_all_sources and
_backfill_liked_artist_images. Both bodies are byte-identical to the
originals. Uses the same _SpotifyClientProxy + _get_*_client shim
pattern as core/artists/map.py so the bodies resolve their original
names without modification.
web_server.py: 37501 → 37245 (-256 lines).
Class body byte-identical to original. Module-level IS_SHUTTING_DOWN
flag is mirrored from web_server's own flag in _shutdown_runtime_components
so the monitor loop still sees shutdown signals at the right moment.
Eight web_server-side helpers (_make_context_key, _on_download_completed,
_run_post_processing_worker, _download_track_worker,
_start_next_batch_of_downloads, _orphaned_download_keys,
missing_download_executor, soulseek_client) are injected via init() after
register_runtime_clients, when all symbols are defined and well before
Flask starts accepting requests.
web_server.py: 38220 → 37501 (-719 lines).
Lifts get_artist_map_data, get_artist_map_genre_list,
get_artist_map_genres, and get_artist_map_explore (plus the
_artmap_cache_* helpers and _artist_map_cache dict) to a new module.
Bodies are byte-identical to the originals. web_server.py keeps
thin route shells that delegate to the lifted functions.
A _SpotifyClientProxy resolves the global spotify_client lazily via
core.metadata.registry.get_spotify_client() so a Spotify re-auth that
rebinds the cached client stays visible to the lifted bodies.
web_server.py: 39124 → 38220 (-904 lines).
Class body byte-identical to original. The shared metadata_update_state
dict is bound at import time via init() so the class body can mutate
it without web_server.py rebinding.
web_server.py: 39754 → 39122 (-632 lines).
The Spotify enrichment worker was auto-starting unconditionally at boot,
hammering /v1/search to match every track in the library against the
Spotify catalog regardless of which metadata source the user had
actually chosen as their primary. Users on Deezer, iTunes, Discogs,
or Hydrabase saw multi-hour 429 bans (typically 14400s) on Spotify
even though they never wanted Spotify-driven enrichment in the first
place — the worker generated dead API traffic the user neither asked
for nor benefited from.
Compounded by Spotify's February 2026 API tightening:
- /v1/search max limit cut from 50 to 10 per request, default from
20 to 5 — every track now needs more pagination, more requests.
- Sustained-rate detection more aggressive — repeated calls over
hours trigger automated long-form bans even when each individual
30-second window is well under the rolling limit.
Result: a user on Deezer would see their Spotify connection get banned
for 4 hours after about 30 tracks of enrichment activity, with no
recourse other than manually pausing the worker each session.
Two-part fix:
1. Boot gate (web_server.py): only auto-start the worker when
`get_primary_source() == 'spotify'`. Otherwise initialize in the
paused state with an explanatory log line. The settings UI manual
unpause control remains functional for users who explicitly want
background Spotify enrichment regardless of primary source.
Boot logic:
- User manually paused (existing config) → stays paused (preserved).
- Primary = 'spotify' → starts running (preserved).
- Primary != 'spotify' → starts paused with log line.
2. Daily budget reduction (core/spotify_worker.py): drop from 3000 to
500 items per calendar day. The 3000 cap was set when /v1/search
returned 50 results per call; now that it caps at 10, each track
needs roughly 5x the API load to find a confident match. 500/day
keeps the worker productive without crossing Spotify's hidden
sustained-rate detection threshold.
The runtime side of the boot gate — auto-pausing when the user
switches primary source mid-session — is out of scope. The settings
UI already exposes the manual toggle, and primary-source switches are
infrequent enough that requiring a manual unpause after the fact is
acceptable.
Full suite: 1355 passing. Ruff clean.
Final lift in the web_server.py extraction effort. Pulls two route
handlers + one background worker out of `web_server.py` into new
focused packages:
- `core/streaming/prepare.py` — 258-line stream-prep worker that
downloads a track to the local Stream/ folder for the browser audio
player.
- `core/playlists/explorer.py` — 305-line route handler for
`POST /api/playlist-explorer/build-tree` that streams an NDJSON
discography tree from a mirrored playlist.
What `prepare_stream_task` does:
1. Reset stream state to 'loading' with the new track info.
2. Clear any prior file from Stream/ (only one stream lives there).
3. Spin up a fresh asyncio event loop and `soulseek_client.download()`.
4. Poll progress every 1.5s. Queue timeout 15s; overall 60s.
5. On succeeded + bytes-match: find the file with retry, move into
Stream/, signal slskd completion, mark state 'ready' with file_path.
6. On error/timeout/cancel: state goes to 'error' or 'stopped'.
7. Finally: tear down the event loop cleanly.
What `playlist_explorer_build_tree` does:
1. Validate request, load playlist + tracks from DB.
2. Pick active metadata source (Spotify if authed, else fallback).
3. Group tracks by artist using discovered matched_data when the
provider matches the active source.
4. Stream NDJSON: meta line → one artist line per group → complete line.
5. Per artist: cache check → resolve discography → tag releases with
`in_playlist` flag based on title-similarity match → filter by mode
(`albums` = only matches; `discographies` = full disco).
6. Mark playlist as explored on completion.
Strict 1:1 byte parity:
Both functions exposed their dependencies through proxy patterns
established in earlier lifts (PR4–PR8). For prepare_stream_task,
`stream_state` is a deps property; for the explorer, Flask `request` /
`jsonify` / `Response` are injected via deps so the lifted body keeps
its native syntax. Both lifts verified ZERO diff against the original
after `deps.X` → global X normalization.
258 lines orig = 258 lines lifted (prepare_stream_task).
305 lines orig = 305 lines lifted (explorer).
Bonus cleanup: web_server.py's module-level `import shutil` and
`import glob` were now unused (only `_prepare_stream_task` used them
at module scope; every other reference is via inline `import shutil`
in respective function bodies). Removed both module-level imports —
ruff caught the F811 redefinitions and confirmed they're truly
redundant.
Dependencies for `PrepareStreamDeps` (11 fields):
config_manager, soulseek_client, stream_lock, project_root,
docker_resolve_path, find_streaming_download_in_all_downloads,
find_downloaded_file, extract_filename, cleanup_empty_directories,
plus 2 stream_state property delegates.
Dependencies for `PlaylistExplorerDeps` (9 fields):
Flask request/Response/jsonify, spotify_client, get_database,
get_active_discovery_source, get_metadata_fallback_client,
get_metadata_fallback_source, get_metadata_cache.
Tests: 6 new under tests/streaming/test_prepare.py (state init,
Stream/ folder creation + clearing, download-init failure, completed
+ moved + ready state, partial-bytes incomplete-warning path) plus 9
new under tests/playlists/test_explorer.py (5 validation early-exit
paths, streaming response shape with meta/complete lines, mark-
explored side effect, discovered-artist grouping using matched_data,
provider mismatch falling back to raw artist name).
Full suite: 1355 passing (was 1340). Ruff clean.
End of the web_server.py extraction effort. Started at ~45,000 lines
across PR4–PR8 + this commit; finished around 35,000 lines with the
heavy worker + route logic now living in domain-cohesive packages
under core/. The remaining bulk in web_server.py is route handlers,
service initialization, and the deferred 1530-line
`_register_automation_handlers` (startup-only, marginal lift value).
Pulls the 284-line artist quality enhancement helper out of
`web_server.py` into a new `core/artists/` package. Flask route handler
split: route + request parsing stay in web_server.py, the body lifts to
a pure function returning `(payload_dict, http_status_code)`.
What `enhance_artist_quality` does:
1. Validate request: track_ids must be non-empty, artist must exist.
2. Build a `track_lookup` from `database.get_artist_full_detail` so each
selected track resolves with its album context.
3. Per track:
- Read current quality tier from the file extension.
- Build `matched_track_data` for the wishlist entry, in priority
order:
- Spotify direct lookup via stored `spotify_track_id` (preferred).
Uses raw API data when available; otherwise rebuilds the payload
and pulls album images via a follow-up `get_album` call.
- Spotify search fallback using matching_engine queries with
artist+title similarity scoring (album-type bonus for albums,
smaller bonus for EPs). Stops at first >= 0.9 confidence match.
- iTunes/fallback source search with the same scoring shape.
- Add to wishlist via `wishlist_service.add_spotify_track_to_wishlist`
with `source_type='enhance'` and a `source_context` carrying the
original file path, format tier, bitrate, original_tier, and
artist_name.
- Tally `enhanced_count` / `failed_count` / per-track failure reasons.
4. Return `{success, enhanced_count, failed_count, failed_tracks}` 200.
Dependencies injected via `ArtistQualityDeps` (7 fields) — spotify_client,
matching_engine, get_database, get_wishlist_service,
get_current_profile_id, get_quality_tier_from_extension,
get_metadata_fallback_client.
Diff vs original after `deps.X` → global X normalization is **1 line of
cosmetic drift** — the success return now uses an explicit `(payload, 200)`
tuple to keep all returns shape-consistent for the wrapper. Flask treats
`jsonify(x)` and `(jsonify(x), 200)` identically. 284 lines orig = 285
lines lifted, body otherwise byte-identical.
Tests: 10 new under tests/artists/test_quality.py covering input
validation (empty track_ids, artist not found), Spotify direct lookup
via raw_data, Spotify direct lookup with enhanced format requiring
album image rebuild, Spotify search fallback, iTunes/fallback source
match path, track-not-found and no-file-path failure modes, complete
no-match failure, and source_context payload assertions (enhance flag,
file path, format tier, bitrate, source_type).
Full suite: 1340 passing (was 1330). Ruff clean.
Pulls the 258-line retag worker out of `web_server.py` into a new
`core/library/` package. Pure 1:1 lift — wrapper keeps the original
entry-point name so the retag-trigger endpoint continues to work
without changes.
What `execute_retag` does:
1. Fetch album + track metadata for the new `album_id` (Spotify or
iTunes — the Spotify client transparently falls back).
2. Load existing files in the retag group from the DB.
3. Match each existing track to a new Spotify track:
- Priority 1: same disc + track number.
- Priority 2: title similarity >= 0.6 (SequenceMatcher).
4. For each matched pair:
- Re-write metadata tags via `_enhance_file_metadata`.
- Compute the new path via `_build_final_path_for_track` and move
the audio file (plus .lrc / .txt sidecars) if the path changes.
- Drop an orphaned cover.jpg if it's left in an empty directory.
- Clean up empty parent directories left behind.
- Download the new cover art into the new album dir.
5. Update the retag group record with new artist / album / image /
total_tracks / release_date and the appropriate Spotify-or-iTunes
album ID (numeric → iTunes, alphanumeric → Spotify).
6. Mark the retag state 'finished' (or 'error' on exception).
Strict 1:1 byte parity:
The original mutated `retag_state` as a module global (the function
declared `global retag_state` even though it only mutates in place).
Here `retag_state` is exposed through the `RetagDeps` proxy as a Python
property so the lifted body keeps `name[key] = value` /
`name.update(...)` syntax. The property setter rebinds the
web_server.py reference if the function ever reassigns it (currently
it doesn't, but the setter is wired for parity with the watchlist lift).
Diff vs original after `deps.X` → global X normalization is **zero
differences** apart from the dropped `global retag_state` decl and the
inline `from database.music_database import get_database` (replaced by
deps.get_database()). 258 lines orig = 258 lines lifted, byte-identical
body otherwise.
Dependencies injected via `RetagDeps` (13 fields) — config_manager,
retag_lock, spotify_client, plus 8 callable helpers
(get_audio_quality_string, enhance_file_metadata,
build_final_path_for_track, safe_move_file, cleanup_empty_directories,
download_cover_art, docker_resolve_path, get_database) and 2 property
delegates (_get_retag_state / _set_retag_state).
Tests: 11 new under tests/library/test_retag.py covering setup error
paths (no album data, no album tracks, no existing tracks),
track-number priority match, title-similarity fallback, no-match skip,
missing file skip, file move when path changes, group record update
(spotify vs iTunes ID branching by alphanumeric vs numeric album_id),
multi-disc total_discs computation.
Full suite: 1330 passing (was 1319). Ruff clean.
Pulls the 390-line watchlist auto-scan orchestrator out of `web_server.py`
into a new `core/watchlist/` package. Watchlist (followed-artists scanner
that finds new releases) is a separate domain from kettui's wishlist
(failed-download retry queue), so this lift does not overlap with the
ongoing PR400-style extractions.
What `process_watchlist_scan_automatically` does:
1. Smart stuck-detection guard before acquiring the timer lock —
prevents deadlock when a previous scan flag is dangling past the
2-hour timeout.
2. Inside the timer lock: re-check + set the active scan flag with the
current timestamp.
3. Per-profile expansion (or single-profile when manually triggered):
- Watchlist count check + Spotify auth gate.
- Backfill missing artist images.
4. Initialize a fresh `watchlist_scan_state` dict (the deps property
setter rebinds the web_server.py module-level name so external
sentinel checks via id() comparison still detect the swap).
5. Pause enrichment workers, then call
`WatchlistScanner.scan_watchlist_artists` with a per-event progress
callback that translates scanner events into automation log lines.
6. Post-scan steps (skipped if the scan was cancelled mid-flight):
- Populate discovery pool from similar artists (per-profile).
- Refresh ListenBrainz playlists.
- Update current seasonal playlist (weekly cadence).
- Generate Last.fm radio playlists.
- Sync Spotify library cache.
- Activity feed entry + automation_engine.emit('watchlist_scan_completed').
7. On exception: mark state['status']='error', re-raise so the
automation wrapper records the failure.
8. Finally: resume enrichment workers, clear the scanner's rescan
cutoff, reset the auto-scanning flag.
Strict 1:1 byte parity:
The original mutated `watchlist_auto_scanning`,
`watchlist_auto_scanning_timestamp`, and `watchlist_scan_state` as
module globals (with a leading `global` decl). Here those names are
exposed through the `WatchlistAutoScanDeps` proxy as Python properties
so the lifted body keeps the same `name = value` / `name[key] = value`
shape. Property setters fan writes back to web_server.py via callback
pairs.
Diff vs original after `deps.X` → global X normalization is **zero
differences** apart from the dropped `global` declaration line — Python
doesn't need it once the names are property accesses on the deps object.
390 lines orig = 390 lines lifted, byte-identical body otherwise.
Dependencies injected via `WatchlistAutoScanDeps` (15 fields total) —
Flask app, spotify_client, automation_engine, watchlist_timer_lock, plus
5 callable helpers and 6 property delegate callbacks (paired
get/set for each of the three globals).
Tests: 11 new under tests/watchlist/test_auto_scan.py covering
stuck-detection guard, race-check inside lock, zero-watchlist short-
circuit, unauthenticated Spotify gate, successful scan with all post-
scan steps, automation event emission, activity feed logging,
cancellation mid-scan skipping post-steps, profile-scoped trigger,
flag reset in finally, rescan cutoff clear in finally.
Full suite: 1319 passing (was 1308). Ruff clean.
- let core.metadata.registry own per-profile Spotify client caching
- register the DB-backed profile credentials provider from web_server.py
- invalidate only the affected profile cache entry on save, delete, and auth
- make web_server.py read and refresh Spotify from core.metadata.registry
- add single-key metadata cache eviction for Spotify reauth
- export the new cache helper through the metadata package shims
- split metadata lookup logic into core/metadata/*
- keep core/metadata_service.py as the legacy barrel
- update tests and artist-detail code to patch concrete modules
Pulls the 201-line staging-folder shortcut out of `web_server.py` into
its own module under the existing `core/downloads/` package. Pure 1:1
lift — wrapper keeps the original entry-point name so the task worker's
existing call site continues to work without changes.
What `try_staging_match` does:
1. Pull the per-batch staging-file cache (one filesystem scan per batch).
2. For each staging entry, compute title + artist similarity using
SequenceMatcher and the matching engine's `normalize_string`. Require
title >= 0.80, then a combined score >= 0.75. The weighting flips
based on whether artist info is available on both sides:
- both have artist: 0.55*title + 0.45*artist
- either side missing artist: 0.80*title + 0.20*artist (lean on title)
3. Copy the matched file to the configured transfer dir (with a
"_staging" suffix when the destination filename already exists, to
avoid overwriting a legitimate prior download).
4. Mark the task as 'post_processing', username='staging',
staging_match=True.
5. Build a synthetic spotify_artist / spotify_album context (mirroring
the modal-worker logic so the file-organization template applies
cleanly) and store it under "staging_<task_id>". Two paths:
- Explicit context branch (track_info has _is_explicit_album_download)
→ real album/artist data copied through.
- Fallback branch → synthesized from track + track_info, with
`is_album_download` heuristically derived (album differs from title
and isn't "Unknown Album").
6. Hand off to `_post_process_matched_download_with_verification` which
does tagging, path building, AcoustID verification, and DB insertion.
Returns True if the staging shortcut won; False to fall through to the
normal Soulseek search path.
Dependencies injected via `StagingDeps` (5 fields) — config_manager,
matching_engine, get_staging_file_cache, docker_resolve_path,
post_process_matched_download_with_verification.
Diff vs original after `deps.X` → global X normalization is **zero
differences** — 201 lines orig = 201 lines lifted, byte-identical body
(including all whitespace, comments, log strings, and the inline
`from difflib import SequenceMatcher` / `import shutil` imports inside
the function body).
Tests: 9 new under tests/downloads/test_downloads_staging.py covering
no staging files / no track title / low-confidence match returning
False, exact match copying file + transitioning task state + invoking
post-processing, existing-file rename via `_staging` suffix, explicit
album context branch, fallback context synthesis (with both album-as-
album and album-equals-title cases), and copy failure (missing source
file) returning False.
Full suite: 1308 passing (was 1299). Ruff clean.
Missed worker from the PR5 discovery-workers series — Tidal sits in the
same domain as the deezer / spotify_public / listenbrainz / youtube /
beatport workers that were lifted in PR5b–PR5h, follows the same shape,
shares the same `_search_spotify_for_tidal_track` helper, and was simply
overlooked in the original inventory.
Pure 1:1 lift of the 212-line worker. Wrapper keeps the original
entry-point name so the existing call sites in web_server.py continue
to work without changes.
What `run_tidal_discovery_worker` does:
1. Pause enrichment workers (release shared resources).
2. For each Tidal track:
- Cancellation gate (state['cancelled']).
- Discovery cache lookup; cache hit short-circuits the search.
- SimpleNamespace-style track passed straight to
`_search_spotify_for_tidal_track` (the shared helper used by every
worker in this family).
- On Spotify match: build `match_data` preserving track_number /
disc_number from raw API data, image extracted from album images
or track object fallback, release_date filled from
track.release_date when album dict is missing it.
- On iTunes match: dict result populated as `match_data` with source
set to discovery_source, image extracted from album images.
- Save matched result to discovery cache.
- On miss: Wing It stub stored as 'wing-it' status (success ticked).
3. After all tracks: phase='discovered', activity feed entry, sync
discovery results back to mirrored playlist via
`_sync_discovery_results_to_mirrored` with 'tidal' tag.
4. On error: state['phase']='error' + status with error string.
5. Finally: resume enrichment workers.
Dependencies injected via `TidalDiscoveryDeps` (13 fields) —
tidal_discovery_states, spotify_client, plus 11 callable helpers
(pause/resume enrichment, get_active_discovery_source,
get_metadata_fallback_client, get_discovery_cache_key, get_database,
validate_discovery_cache_artist, search_spotify_for_tidal_track,
build_discovery_wing_it_stub, add_activity_item,
sync_discovery_results_to_mirrored). Same surface as the deezer worker.
Diff vs original after `deps.X` → global X normalization is **zero
differences** — 212 lines orig = 212 lines lifted, byte-identical body
(including all whitespace, comments, log strings).
Tests: 9 new under tests/discovery/test_discovery_tidal.py covering
cache hit short-circuit, Spotify tuple match (track/disc preservation),
iTunes dict match path, Wing It fallback, cancellation, completion
phase update, activity feed entry, mirrored sync invocation, per-track
error handling.
Full suite: 1299 passing (was 1290). Ruff clean.
First lift in the new PR6 batch. Pulls the 312-line candidate-fallback
download dispatcher out of `web_server.py` into a new module under the
existing `core/downloads/` package. Pure 1:1 lift — wrapper keeps the
original entry-point name so all callers (search/match pipeline) work
unchanged.
What `attempt_download_with_candidates` does:
1. Sort candidates by descending confidence.
2. For each candidate:
- Cancellation gates (3 points: top of loop, before download starts,
after download_id is assigned).
- Skip already-tried sources via the per-task `used_sources` set.
- Skip blacklisted sources (user-flagged bad matches).
- Race protection: bail when the task already has an active
download_id.
- `update_task_status('downloading')`, then `soulseek_client.download`.
3. On a successful download_id:
- Build `matched_downloads_context` entry keyed by
`make_context_key(username, filename)`.
- For tracks with clean Spotify metadata, pull track_number /
disc_number from (1) track_info → (2) track object → (3) Spotify
API call. When local album context is incomplete, the API response
backfills release_date / album_type / total_tracks / images / id.
- Set `is_album_download` based on explicit context flag or
heuristic (album differs from title, isn't "Unknown Album").
- Store task/batch IDs and track_info on the context for post-
processing + playlist-folder mode.
4. On a cancellation that wins the race after the download started:
- `cancel_download(...)` to stop the in-flight Soulseek transfer.
- `on_download_completed(batch_id, task_id, success=False)` to free
the worker slot.
5. On exception or download-start failure: reset task status to
'searching', continue to next candidate.
Dependencies injected via `CandidatesDeps` (7 fields) — soulseek_client,
spotify_client, run_async, get_database, update_task_status,
make_context_key, on_download_completed.
Diff vs original after `deps.X` → global X normalization is **zero
differences** — 312 lines orig = 312 lines lifted, byte-identical body
(including all whitespace, comments, log strings).
Tests: 14 new under tests/downloads/test_downloads_candidates.py
covering happy path (first candidate succeeds, confidence ordering),
used_sources dedup, blacklist skip, cancellation gates (cancelled
status, deleted task, active download_id, mid-flight cancel + cleanup
callback), failure paths (all candidates failed, exception during
download falls through to next), context payload (explicit album
context, track_number priority order, API backfill of incomplete album
metadata), and equal-confidence stable order.
Pre-existing behavior documented in tests:
`spotify_album_context['id']` initializes to a non-empty placeholder
'from_sync_modal' in the fallback path, so the API-backfill condition
`if not spotify_album_context.get('id')` never fires for the id field
specifically. Other album fields (release_date, album_type) backfill
fine because they default to empty.
Full suite: 1290 passing (was 1276). Ruff clean.
User report: multi-disc albums on the latest dev had literal "\$cdnum"
in their filenames instead of the expected "CDxx" label, plus a
redundant "Disc N" folder on top of the in-filename label.
Two bugs in core/imports/paths.py:
1. _replace_template_variables (the substitution helper used by every
download path builder) had no handling for \$cdnum or \${cdnum}. The
matching helper in web_server.py and core/repair_jobs/library_reorganize.py
did the substitution; this one didn't, so production downloads passed
the placeholder through unchanged. Added a cdnum_value computation
(CD%02d when total_discs > 1, empty otherwise) plus the corresponding
bracket_map entry and \$cdnum replace before \$track (matches the
ordering in the other path builders).
2. The album-path branch of build_final_path_for_track auto-injected a
"Disc N" folder whenever total_discs > 1, suppressed only when the
template contained \$disc. Templates using \$cdnum (or \${disc} /
\${discnum} / \${cdnum}) got both a "CDxx" label in the filename and
the auto folder. Widened the user_controls_disc check to cover all
the disc-bearing placeholders.
Bonus cleanup along the way:
- Folder-part stripping now drops a leading \$cdnum token (mirrors the
existing \$disc / \$discnum / \$quality strip — defensive against an
empty cdnum landing alone in a folder segment).
- Filename cleanup now strips a leading " - " left behind when \$cdnum
expands to empty on a single-disc album (mirrors the same regex in
library_reorganize.py).
- album_template config access switched from the dotted-path key to the
nested-dict access pattern used by the rest of the function — handles
both production config_manager and the flat _Config used in tests.
Tests: 4 new under tests/imports/test_import_paths.py
- multi-disc cdnum substitution produces "CD02"
- single-disc cdnum collapses to empty
- folder-part containing only \$cdnum is dropped
- build_final_path_for_track with \$cdnum template produces no auto
"Disc N" folder
Full suite: 1276 passing (was 1272). Ruff clean.
Both the auto and manual wishlist download paths called
`remove_tracks_already_in_library` before submitting the batch — a
serial DB lookup per track per artist (~1s/track on a 24-track
wishlist). The batches set `force_download_all=True` which is
explicitly documented as "skip the expensive library check" — the
pre-flight cleanup was contradicting that flag.
Removed the cleanup call from both flows. Kept `remove_wishlist_duplicates`
(fast SQL DELETE) and the standalone `/api/wishlist/cleanup` endpoint
that exposes the library scan as explicit user-triggered maintenance.
Safety check on the trade-off:
- post-processing at `core/imports/pipeline.py:576-624` already handles
re-downloads defensively: existing file with metadata → skip overwrite
+ delete source duplicate, no library corruption.
- Master worker's analysis loop normally removes wishlist entries for
found tracks via `_check_and_remove_track_from_wishlist_by_metadata`,
so stale wishlist entries should be rare in practice.
- Worst case for the rare orphan: one redundant download attempt that
the post-processing layer no-ops on. Bandwidth waste, not data damage.
Tests updated:
- `..._does_not_run_library_cleanup` (renamed from `_skips_enhance_tracks_during_cleanup`)
asserts no DB track-existence checks happen and no wishlist removals
fire — both `enhance` and "owned" tracks reach the master worker.
- `..._marks_batch_complete_when_wishlist_genuinely_empty` (renamed from
`..._after_cleanup`) covers the path where the wishlist starts empty.
Full suite: 1232 passing. Ruff clean.
The manual wishlist download endpoint blocked the request thread on a
slow library-cleanup pass before submitting the batch — for a 24-track
wishlist that's ~50 per-track DB lookups serialised in the request
handler, taking 30+ seconds before the frontend got a response. The
modal sat at "Pending..." with no progress visible the whole time.
Split start_manual_wishlist_download_batch into:
1. SYNC path (request handler):
- Generate batch_id, create download_batches entry with phase=analysis
and analysis_total=0 placeholder.
- Submit a single bg job (`_prepare_and_run_manual_wishlist_batch`) to
the missing-download executor.
- Return 200 with batch_id immediately. Frontend can start polling
/api/active-processes status right away.
2. BG path (executor thread):
- db.remove_wishlist_duplicates (slow-ish, single SQL)
- remove_tracks_already_in_library (the slow one — per-track DB checks)
- wishlist_service.get_wishlist_tracks_for_download
- sanitize + dedupe + filter (track_ids / category)
- Update batch.analysis_total with the real filtered count
- add_activity_item("Wishlist Download Started", ...)
- run_full_missing_tracks_process (master worker)
Edge case: if cleanup empties the wishlist, the bg job marks the batch
phase='complete' with error='No tracks in wishlist' (instead of the old
synchronous 400 response). Frontend status poll picks this up and the
modal can close cleanly.
Tests: existing 2 manual-download tests updated to drive the bg job
explicitly via a new `_run_submitted_bg_job` helper. Added 2 new tests:
- `..._returns_immediately_with_placeholder` — proves the sync path
doesn't trigger any cleanup or master-worker calls; analysis_total=0.
- `..._marks_batch_complete_when_wishlist_empty_after_cleanup` —
cleanup empties the list, master worker never invoked, batch ends
with phase='complete'.
Full suite: 1232 passing (was 1230). Ruff clean.
Final lift in the PR5 discovery-workers series. Pulls the 328-line
library quality scanner out of `web_server.py` into its own focused
module under `core/discovery/`. Pure 1:1 lift — wrapper keeps the
original entry-point name.
What the quality scanner does:
1. Reset scanner state (counters, results), load quality profile +
minimum acceptable tier from QUALITY_TIERS.
2. Load tracks from DB based on scope:
- 'watchlist' → tracks for watchlisted artists only.
- other → all library tracks.
3. For each track:
- Stop-request gate (state['status'] != 'running').
- Quality-tier check via _get_quality_tier_from_extension(file_path).
- Skip tracks meeting standards (tier_num <= min_acceptable_tier).
- For low-quality tracks: matching_engine search query gen, score
candidates against Spotify (artist + title similarity, album-type
bonus), pick best match >= 0.7 confidence.
- On match: add full Spotify track to wishlist via
`wishlist_service.add_spotify_track_to_wishlist` with
source_type='quality_scanner' and a source_context that captures
original file_path, format tier, bitrate, and match confidence.
4. After all tracks: status='finished', progress=100, activity feed
entry, emit `quality_scan_completed` event for automation engine.
5. On critical exception: status='error', error message captured.
Wishlist service interaction is via the public
`add_spotify_track_to_wishlist` API only — no overlap with kettui's
planned `core/wishlist/` package extraction (the import lives inside
the function, exactly as in the original, and will follow whatever
path that package takes).
Dependencies injected via `QualityScannerDeps` (8 fields) —
quality_scanner_state dict, quality_scanner_lock, QUALITY_TIERS
constant, spotify_client, matching_engine, automation_engine, plus 2
callable helpers (get_quality_tier_from_extension, add_activity_item).
Diff vs original after `deps.X` → global X normalization is **zero
differences** — 328 lines orig = 328 lines lifted, byte-identical body
(including all whitespace, comments, log strings, and the inline
`from core.wishlist_service import get_wishlist_service` /
`from database.music_database import MusicDatabase` imports at the
top of the function).
Tests: 11 new under tests/discovery/test_discovery_quality_scanner.py
covering state init/reset, no-watchlist-artists short-circuit,
unauthenticated Spotify error, high-quality skip, low-quality search
trigger, match → wishlist add (with full source_context payload),
no-match no-add, mid-loop stop request, completion phase + progress,
automation engine event emission, all-library scope load.
Full suite: 1152 passing (was 1141). Ruff clean.
End of the PR5 series — `web_server.py` lost ~328 lines on this commit
alone; total trim across PR5a–PR5h is ~2,400 lines of discovery worker
code moved into focused `core/discovery/*.py` modules. The remaining
discovery-adjacent worker `_process_watchlist_scan_automatically` was
deliberately deferred to avoid overlap with kettui's planned wishlist
extraction.
Seventh lift in the PR5 discovery-workers series. Pulls the 286-line
ListenBrainz 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.
What the ListenBrainz discovery worker does:
1. Pause enrichment workers (release shared resources).
2. For each ListenBrainz track:
- Cancellation gate (state['phase'] != 'discovering').
- Discovery cache lookup; cache hit short-circuits the search.
- Strategy 1: matching_engine search queries with confidence scoring
against Spotify (preferred) or iTunes (fallback).
- Strategy 2: swapped artist/title query.
- Strategy 3: album-based query (uses album_name when available —
unique to LB, since YouTube tracks don't have album metadata).
- Strategy 4: extended search with limit=50.
- On match → save to discovery cache with image extracted from album
images or matched_track.image_url fallback.
- On miss → Wing It stub stored as 'wing-it' status.
3. After all tracks: phase='discovered', status='complete', activity feed
entry mentioning 'ListenBrainz Discovery Complete'.
4. On error: state['status']='error', phase='fresh'.
5. Finally: resume enrichment workers.
Dependencies injected via `ListenbrainzDiscoveryDeps` (16 fields) —
listenbrainz_playlist_states, spotify_client, matching_engine, plus 13
callable helpers (pause/resume enrichment, get_active_discovery_source,
get_metadata_fallback_client, get_discovery_cache_key, get_database,
validate_discovery_cache_artist, extract_artist_name,
spotify_rate_limited, discovery_score_candidates, get_metadata_cache,
build_discovery_wing_it_stub, add_activity_item).
Diff vs original after `deps.X` → global X normalization is **zero
differences** — 286 lines orig = 286 lines lifted, byte-identical body
(including all whitespace, comments, log strings).
Pre-existing bug preserved (not fixed): if `listenbrainz_playlist_states[
state_key]` raises KeyError on entry, the outer except handler tries to
mutate `state` which is unbound → secondary UnboundLocalError. Same bug
in the original (and the YouTube discovery worker). Documented here for
future cleanup but out of scope for the lift.
Tests: 11 new under tests/discovery/test_discovery_listenbrainz.py
covering cache hit short-circuit, Strategy 1 confidence match, Wing It
fallback, iTunes fallback (Spotify unauthenticated and rate-limited),
cancellation (phase change), completion phase update, activity feed
entry, per-track error handling, float duration_ms tolerance (regression
for the :02d format crash fixed earlier), enrichment workers resume on
finally.
Full suite: 1141 passing (was 1130). Ruff clean.
Sixth lift in the PR5 discovery-workers series. Pulls the 323-line
Beatport chart 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.
What the Beatport discovery worker does:
1. Pause enrichment workers (release shared resources).
2. For each Beatport track:
- Cancellation gate (state['phase'] != 'discovering').
- Clean Beatport text (artist/title) of common annotations via
`clean_beatport_text` helper.
- Single-string artist normalization for "CID,Taylr Renee"-style
entries — split on comma, take the first.
- Discovery cache lookup; cache hit short-circuits the search and
normalizes cached artists from ['str'] → [{'name': 'str'}] to
match the frontend's expected list-of-objects shape.
- matching_engine search-query generation (with high min_confidence
of 0.9 to avoid bad matches).
- Strategy 1: scored candidates from initial Spotify/iTunes searches.
- Strategy 4: extended search with limit=50 if no high-confidence
match found.
- On Spotify match: format artists as [{'name': str}] objects, pull
full album object from raw cache when available, fallback to
reconstructed album dict otherwise.
- On iTunes match: format with image_url-derived album.images entry
(300x300 spec), source set to discovery_source.
- Save matched result to discovery cache when confidence >= 0.75
(note: lower than search threshold; discovery still benefits from
these less-confident matches as user-visible suggestions).
- On miss: Wing It stub stored as 'wing-it' status (success ticked).
3. After all tracks: phase='discovered', activity feed entry, sync
discovery results back to mirrored playlist via
`_sync_discovery_results_to_mirrored` with 'beatport' tag.
4. On error: state['phase']='fresh' + status='error'.
5. Finally: resume enrichment workers.
Dependencies injected via `BeatportDiscoveryDeps` (17 fields) —
beatport_chart_states, spotify_client, matching_engine, plus 14
callable helpers (pause/resume enrichment, get_active_discovery_source,
get_metadata_fallback_client, clean_beatport_text,
get_discovery_cache_key, get_database, validate_discovery_cache_artist,
spotify_rate_limited, discovery_score_candidates, get_metadata_cache,
build_discovery_wing_it_stub, add_activity_item,
sync_discovery_results_to_mirrored).
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: 12 new under tests/discovery/test_discovery_beatport.py covering
cache hit short-circuit (with cached-artist normalization), Spotify
match formatting (list and string artist inputs), iTunes match
(image_url to album.images), Wing It fallback, cancellation
(phase change), completion phase update, activity feed entry, mirrored
sync invocation, top-level error handler, per-track error handling,
comma-separated artist split.
Full suite: 1130 passing (was 1118). Ruff clean.
Fifth lift in the PR5 discovery-workers series. Pulls the 278-line
public-Spotify-link 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.
What the Spotify Public discovery worker does:
1. Pause enrichment workers (release shared resources).
2. For each track:
- Cancellation gate (state['cancelled']).
- Normalize artists to plain string list (handles dict + str inputs).
- Discovery cache lookup; cache hit short-circuits the search and
populates display fields from the cached match.
- SimpleNamespace duck-type → `_search_spotify_for_tidal_track`
(shared search helper, returns tuple for Spotify or dict for iTunes).
- On Spotify match: build `match_data` preserving track_number /
disc_number from raw API data; image extracted from album images
or track object fallback; release_date filled from track.release_date
when album dict is missing it.
- On iTunes match: dict result → match_data with source set to
discovery_source; image extracted from album images.
- Save matched result to discovery cache.
- On miss: Wing It stub stored as 'wing-it' status.
3. After all tracks: phase='discovered', activity feed entry.
4. On error: state['phase']='error' + status with error string.
5. Finally: resume enrichment workers.
This worker is structurally close to the Deezer worker (see PR5d) but
intentionally diverges on:
- Track-data field names (`spotify_public_track` vs `deezer_track`).
- Artist normalization (Spotify Public can pass dicts or strings).
- No mirrored-playlist DB writeback (sync is handled separately).
Dependencies injected via `SpotifyPublicDiscoveryDeps` (12 fields) —
spotify_public_discovery_states, spotify_client, plus 10 callable
helpers (pause/resume enrichment, get_active_discovery_source,
get_metadata_fallback_client, get_discovery_cache_key, get_database,
validate_discovery_cache_artist, search_spotify_for_tidal_track,
build_discovery_wing_it_stub, add_activity_item).
Diff vs original after `deps.X` → global X normalization is **zero
differences** — 278 lines orig = 278 lines lifted, byte-identical body
(including all whitespace, comments, log strings).
Tests: 10 new under tests/discovery/test_discovery_spotify_public.py
covering cache hit short-circuit, dict-artist normalization, Spotify
tuple match (track/disc preservation), iTunes dict match path, Wing It
fallback, cancellation, completion phase update, activity feed entry,
top-level error handler, per-track error handling.
Full suite: 1118 passing (was 1108). Ruff clean.
Fourth lift in the PR5 discovery-workers series. Pulls the 270-line
Deezer 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 sites continue to work
without changes.
What the Deezer discovery worker does:
1. Pause enrichment workers (release shared resources).
2. For each Deezer track:
- Cancellation gate (state['cancelled']).
- Discovery cache lookup; cache hit short-circuits the search and
populates display fields from the cached match (artist string,
album name).
- SimpleNamespace duck-type → `_search_spotify_for_tidal_track`
(shared search helper, returns tuple for Spotify or dict for iTunes).
- On Spotify match: build `match_data` preserving track_number /
disc_number from raw API data, image extracted from album images
or track object fallback, release_date filled from track.release_date
when album dict is missing it.
- On iTunes match: dict result populated as `match_data`, source set
to discovery_source, image extracted from album images.
- Save matched result to discovery cache.
- On miss: Wing It stub stored as 'wing-it' status.
3. After all tracks: phase='discovered', activity feed entry, sync
discovery results back to mirrored playlist via
`_sync_discovery_results_to_mirrored`.
4. On error: state['phase']='error' + status with error string.
5. Finally: resume enrichment workers.
Dependencies injected via `DeezerDiscoveryDeps` (13 fields) —
deezer_discovery_states dict, spotify_client, plus 11 callable helpers
(pause/resume enrichment, get_active_discovery_source,
get_metadata_fallback_client, get_discovery_cache_key, get_database,
validate_discovery_cache_artist, search_spotify_for_tidal_track,
build_discovery_wing_it_stub, add_activity_item,
sync_discovery_results_to_mirrored).
Diff vs original after `deps.X` → global X normalization is **zero
differences** — 270 lines orig = 270 lines lifted, byte-identical body
(including all whitespace, comments, log strings).
Tests: 10 new under tests/discovery/test_discovery_deezer.py covering
cache hit short-circuit, Spotify tuple match (track/disc number
preservation), iTunes dict match path, Wing It fallback, cancellation,
completion phase update, activity feed entry, mirrored sync invocation,
top-level error handler, per-track error handling.
Full suite: 1108 passing (was 1098). Ruff clean.
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.
yt_dlp sometimes returns float `duration_ms` for YouTube tracks. The
discovery workers format the duration with `f"{x // 60000}:{(x % 60000)
// 1000:02d}"` — and `:02d` requires an int. When the duration is a
float, the format string raises:
Unknown format code 'd' for object of type 'float'
Caught when running YouTube discovery on a real playlist (bbno$ tracks)
— every track failed with status='Error'.
Pre-existing bug, surfaced now because of yt_dlp returning float
durations on this playlist. Fixed at all 8 sites by casting through
`int()` before the `// 60000` and `% 60000` operations:
- core/discovery/youtube.py: 2 sites in run_youtube_discovery_worker
(cache hit + main result construction).
- web_server.py L29238/L29372: 2 sites in _run_listenbrainz_discovery_worker.
- web_server.py L40112/L40136/L40161/L40178: 4 sites in the YouTube
retry/pre-discovered results assembly path.
The `if duration_ms` / `if dur` guard already protects against None and 0,
so `int(...)` is only called on truthy numeric values.
Tests: 1 new regression test under tests/discovery/test_discovery_youtube.py
(`test_float_duration_does_not_crash_format`) — passes a float
duration_ms and asserts the worker completes without an error result.
Ruff clean.
Second lift in the PR5 discovery-workers series. Pulls the 332-line
YouTube discovery worker out of `web_server.py` into its own focused
module under `core/discovery/`. Pure 1:1 lift — wrappers keep the
original entry-point name so the two callers
(`youtube_discovery_executor.submit(_run_youtube_discovery_worker, ...)`)
continue to work without changes.
What the YouTube discovery worker does:
1. Pause enrichment workers (release shared resources).
2. For each YouTube playlist track:
- Cancellation check (phase != 'discovering' aborts).
- Discovery cache lookup; cache hit short-circuits the search.
- Strategy 1: matching_engine search queries with confidence scoring
against Spotify (preferred) or iTunes (fallback).
- Strategy 2: swapped artist/title query.
- Strategy 3: raw (untokenized) query.
- Strategy 4: extended search with limit=50.
- On match → save to discovery cache.
- On miss → build Wing It stub from raw source data.
3. After loop: phase='discovered', sort results by index, and for mirrored
playlists write extra_data back to the DB.
4. Activity feed entry with match summary.
5. On error → state['status']='error', phase='fresh'.
6. Finally: resume enrichment workers.
Dependencies injected via `YoutubeDiscoveryDeps` (16 fields) —
youtube_playlist_states, spotify_client, matching_engine, plus 13
callable helpers (pause/resume enrichment, get_active_discovery_source,
get_metadata_fallback_client, discovery cache key/validate, extract
artist name, spotify_rate_limited, discovery_score_candidates,
get_metadata_cache, build_discovery_wing_it_stub, get_database,
add_activity_item).
Diff vs original after `deps.X` → global X normalization is **zero
differences** — 332 lines orig = 332 lines lifted, byte-identical body
(including all whitespace).
Pre-existing bug preserved (not fixed): if `youtube_playlist_states[url_hash]`
raises KeyError on entry, the outer except handler tries to mutate
`state` which is unbound → secondary UnboundLocalError. Same bug in
the original. Documented here for future cleanup but out of scope
for the lift.
Tests: 14 new under tests/discovery/test_discovery_youtube.py covering
cache hit short-circuit, Strategy 1 confidence match, Wing It fallback,
iTunes fallback path (Spotify unauthenticated and rate-limited),
cancellation (phase changed), skip_discovery flag, completion phase
update, activity feed entry, mirrored playlist DB writeback, non-mirrored
no-writeback, enrichment workers pause/resume, error-during-loop resume,
results sorted by index after retry.
Full suite: 1082 passing (was 1068). Ruff clean.
- remove the redundant wishlist-service injection from the runtime wrappers
- keep the package owning its own singleton service access
- simplify the route runtime API and update the wishlist tests to match
- ignore unconfigured backends when clearing completed downloads
- keep the post-download cleanup route best-effort after a successful wishlist run
- add regression coverage for the orchestrator clear step
First lift in the new PR5 discovery-workers series. Pulls the 448-line
playlist sync background worker out of `web_server.py` into its own
focused module under `core/discovery/`. Pure 1:1 lift — wrappers keep
the original entry-point name so the four callers
(`sync_executor.submit(_run_sync_task, ...)`) continue to work without
changes.
What the sync worker does:
1. Convert frontend JSON tracks → SpotifyTrack/SpotifyPlaylist objects.
2. Normalize artist/album shapes for downstream wishlist parity.
3. Wire a progress_callback that updates `sync_states` + automation card.
4. Patch sync_service for database-only fallback when no media server is
connected.
5. `run_async(sync_service.sync_playlist(...))` and capture the result.
6. Update sync_states to 'finished', push playlist poster image to
Plex / Jellyfin / Emby, record sync history (with re-sync vs new-sync
branching), emit `playlist_synced` event for automation engine, and
persist sync status with a tracks_hash for smart-skip on the next
scheduled sync.
7. On exception → mark error in sync_states + automation; finally clear
progress callback + drop `_original_tracks_map` from sync_service.
Dependencies injected via `SyncDeps` (11 fields) — config_manager,
sync_service, plex_client, jellyfin_client, automation_engine, run_async,
record_sync_history_start, update_automation_progress,
update_and_save_sync_status, sync_states dict, sync_lock. The only
structural drift from a pure paste is the top-of-function variable
binding: original used `global sync_states, sync_service`, lifted version
rebinds them as locals from deps (`sync_states = deps.sync_states` etc.)
since the names aren't module-level in the new file. Same behaviour
otherwise — diff against the original after `deps.X` → global X
normalization is **zero differences**.
Tests: 18 new under tests/discovery/test_discovery_sync.py covering
sync history recording (new + resync), setup error path (with and
without automation_id), missing sync_service handling, sync_playlist
exception handling, successful sync state transition, unmatched-tracks
summary, playlist image upload (plex + jellyfin + zero-synced gate),
automation engine emit, automation progress finished call, sync history
DB persistence (completion + match_details), tracks_hash persistence,
and finally-block cleanup (callback clear + map drop).
Full suite: 1068 passing (was 1050). Ruff clean.
Kicks off the PR5 series — 9 discovery workers totaling ~2,400 lines
across `_run_sync_task`, `_run_*_discovery_worker` family,
`_run_quality_scanner`, and `_process_watchlist_scan_automatically`.
Wishlist-related extractions deliberately skipped to avoid overlap with
kettui's planned `core/wishlist/` package.
