feat(database): shape the library like files, and shrink the catalog
Plans 013 and 014, the album page that prompted them, and the smaller fixes they turned up. Changelog, largest first. ## The local library is shaped like files, not like MusicBrainz `audio_files` carries its own tags and points at `albums` and `artists`; `file_genres` is the one real many-to-many. `recordings`, `release_group_recordings`, `artist_credit`, `artist_credit_artist`, `recording_genres`, `release_groups` and `release_to_rg` are gone from the local side, and with them a six-way join in every read, a `MIN(release_group_id)` subquery in eleven queries and a first-credited-artist subquery in nine. Measured on a real 25,966-file library, every many-to-many that model expressed was 1:1 in the data. - Ownership is a file. `GetFilePathsByRecordingMBIDs`, `LibraryMBIDIndex.CheckMBIDs`, `collectLibraryEntities` and `pruneStaleLocalCrossReferences` all join `audio_files`, so the 812 orphaned recordings, 216 release groups and 260 artists that library carried are now structurally impossible. - One projection: every track query selects from the `track_metadata` view, one row type, one mapper. Nine hand-rolled copies had drifted far enough to report different years on different screens. - `library_id = 0` means every library, so each list query exists once instead of scoped and unscoped with a branch at every call site. - No migration chain. `sql/schemas/` is the one description of the shape; `sql/migrations/`, `applyMigrations` and `schema_migrations` are squashed away, along with the drift between them that had sqlc generating against a stale schema. - `database.InsertTestTrack` is the one test seeder; twenty test files had been assembling the old FK chain each in its own order. ## The catalog stores its ids as bytes `explore_index`'s three 36-char MBID columns and its entity-type text are 16 raw bytes and a small integer. The table and its six indexes go 780 MB to 405 MB on a real 2,052,200-row catalog, which is why a fresh install is ~0.6 GB rather than ~1.0 GB. - `backend/explore/mbid.go` is the only place the encoding is known; everything above it speaks dashed strings. - `CHECK(length(mbid) = 16)` makes a stringly write fail at the insert rather than silently returning no rows, since SQLite does not coerce between TEXT and BLOB. - The importer asks the artifact what encoding it carries and converts on the way in, so the artifact already published keeps working and no format bump is needed. - `indexRowColumns`/`scanIndexRow` replace four copies of a 22-column list, and `TestStoredEncodingRoundTrips` sweeps every read path. ## An album page that says how much of the album is yours - One question, asked once: is there a file. `filePaths` is filled by a single batched lookup when the tracklist settles, and the badge, the Play count, the dimmed rows and every menu item read it — replacing four claims of decreasing confidence that could show a green tick on an album whose every action did nothing. - Play, Play 7 of 12, or no play button at all. - `total_tracks` on `explore_index` (~2 bytes over 400,677 release groups) and on `audio_files` from tags that have always carried it: a complete MBID-matched album now makes no catalog call at all, where it used to spend the most expensive request the app makes. - A merged cluster shows the running order the most releases agree on, and the version list marks the release you own rather than standing a synthetic entry in for it. - `AlbumReleasesFailed`: a slow fetch is no longer reported as a failed one by a 12-second timer. - Rows not in the library are dimmed in place (with `aria-disabled`) instead of the owned ones wearing a green tick and a legend. ## Caches and cover art get ceilings - Only the three tiers of a cover are stored; the full-resolution copy nothing rendered was 1,134 MB of a 1.4 GB covers directory. - One artist portrait is downloaded and the rest are remembered as URLs — 4.1 GB of a 5.3 GB cache was candidates no code path reads. - `browsedArtBudget` and `httpCacheBudget` bound what an age cannot: the same install held art for 5,770 artists in a 1,301-artist library. - `OrphanedArtistImagesJob` joined a bare MBID onto a sharded directory, so it deleted the rows that were the only record of the files it left behind. `explore.ArtistImageDir` is that layout's one definition now. ## The autotag queue asks whether there is work `tagging_items` was a row per album folder, not a queue, and no query read the `tag_status` column that held the answer. The four queue queries ask the files, which matters most where it is least visible: `startPrefetch` was scoring every album in a tagged library against MusicBrainz. ## Phantom playlist tracks resolve in place An M3U8 imported before its files leaves phantom rows; they now match by path and fall back to position, keep their place in the playlist when resolved, and pair best-first so two phantoms cannot claim the same file. ## Playing a track plays the list it is in Double-click, and Play on a single row's menu, queue the list as displayed with `startIndex` on that row — the album page and the track list used to queue one track and discard the album around it. A multi-row selection still plays exactly itself. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01AfVYUVExXsx1nSWrXN8mAh
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@@ -12,10 +12,10 @@ import (
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const homeAlbumsByGenre = `-- name: HomeAlbumsByGenre :many
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SELECT rg.id AS album_id
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FROM release_groups rg
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JOIN release_group_recordings rgr ON rgr.release_group_id = rg.id
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JOIN recording_genres rgen ON rgen.recording_id = rgr.recording_id
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JOIN genres g ON g.id = rgen.genre_id
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FROM albums rg
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JOIN audio_files af ON af.album_id = rg.id
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JOIN file_genres fg ON fg.audio_file_id = af.id
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JOIN genres g ON g.id = fg.genre_id
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WHERE g.name = ?
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GROUP BY rg.id
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ORDER BY RANDOM()
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@@ -54,9 +54,8 @@ func (q *Queries) HomeAlbumsByGenre(ctx context.Context, arg HomeAlbumsByGenrePa
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const homeMostPlayedAlbums = `-- name: HomeMostPlayedAlbums :many
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SELECT rg.id AS album_id
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FROM release_groups rg
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JOIN release_group_recordings rgr ON rgr.release_group_id = rg.id
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JOIN audio_files af ON af.recording_id = rgr.recording_id
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FROM albums rg
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JOIN audio_files af ON af.album_id = rg.id
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GROUP BY rg.id
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HAVING SUM(af.play_count) > 0
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ORDER BY SUM(af.play_count) DESC
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@@ -89,9 +88,8 @@ func (q *Queries) HomeMostPlayedAlbums(ctx context.Context, limit int64) ([]int6
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const homeRandomAlbums = `-- name: HomeRandomAlbums :many
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SELECT rg.id AS album_id
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FROM release_groups rg
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JOIN release_group_recordings rgr ON rgr.release_group_id = rg.id
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JOIN audio_files af ON af.recording_id = rgr.recording_id
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FROM albums rg
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JOIN audio_files af ON af.album_id = rg.id
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GROUP BY rg.id
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ORDER BY RANDOM()
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LIMIT ?
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@@ -122,9 +120,8 @@ func (q *Queries) HomeRandomAlbums(ctx context.Context, limit int64) ([]int64, e
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const homeRecentlyAddedAlbums = `-- name: HomeRecentlyAddedAlbums :many
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SELECT rg.id AS album_id
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FROM release_groups rg
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JOIN release_group_recordings rgr ON rgr.release_group_id = rg.id
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JOIN audio_files af ON af.recording_id = rgr.recording_id
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FROM albums rg
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JOIN audio_files af ON af.album_id = rg.id
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GROUP BY rg.id
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ORDER BY MAX(af.id) DESC
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LIMIT ?
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@@ -159,9 +156,8 @@ func (q *Queries) HomeRecentlyAddedAlbums(ctx context.Context, limit int64) ([]i
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const homeRecentlyPlayedAlbums = `-- name: HomeRecentlyPlayedAlbums :many
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SELECT rg.id AS album_id
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FROM release_groups rg
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JOIN release_group_recordings rgr ON rgr.release_group_id = rg.id
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JOIN audio_files af ON af.recording_id = rgr.recording_id
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FROM albums rg
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JOIN audio_files af ON af.album_id = rg.id
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WHERE af.last_played IS NOT NULL
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GROUP BY rg.id
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ORDER BY MAX(af.last_played) DESC
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@@ -172,7 +168,7 @@ LIMIT ?
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//
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// Every one of these returns album ids and nothing else. The display
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// columns (cover art, artist credit, year) already have exactly one
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// correct expression of them, in GetAllAlbumsWithDetails, and a second
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// correct expression of them, in GetAlbums, and a second
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// copy per shelf would be six more places for that to drift. The home
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// service joins the ids back to that one album list in Go.
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// Albums with the most recent play, newest first.
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@@ -201,9 +197,8 @@ func (q *Queries) HomeRecentlyPlayedAlbums(ctx context.Context, limit int64) ([]
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const homeStaleAlbums = `-- name: HomeStaleAlbums :many
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SELECT rg.id AS album_id
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FROM release_groups rg
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JOIN release_group_recordings rgr ON rgr.release_group_id = rg.id
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JOIN audio_files af ON af.recording_id = rgr.recording_id
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FROM albums rg
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JOIN audio_files af ON af.album_id = rg.id
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WHERE af.last_played IS NOT NULL
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GROUP BY rg.id
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HAVING MAX(af.last_played) < datetime('now', ?)
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@@ -242,14 +237,12 @@ func (q *Queries) HomeStaleAlbums(ctx context.Context, arg HomeStaleAlbumsParams
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const homeTopArtists = `-- name: HomeTopArtists :many
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SELECT
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COALESCE(ac.text, '') AS artist_name,
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rg.artist_credit AS artist_name,
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SUM(af.play_count) AS plays
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FROM release_groups rg
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JOIN artist_credit ac ON ac.id = rg.album_artist_credit_id
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JOIN release_group_recordings rgr ON rgr.release_group_id = rg.id
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JOIN audio_files af ON af.recording_id = rgr.recording_id
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WHERE ac.text <> ''
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GROUP BY ac.text
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FROM albums rg
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JOIN audio_files af ON af.album_id = rg.id
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WHERE rg.artist_credit <> ''
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GROUP BY rg.artist_credit
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HAVING plays > 0
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ORDER BY plays DESC
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LIMIT ?
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@@ -288,10 +281,10 @@ func (q *Queries) HomeTopArtists(ctx context.Context, limit int64) ([]HomeTopArt
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const homeTopGenres = `-- name: HomeTopGenres :many
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SELECT
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g.name AS genre,
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COUNT(DISTINCT rgr.release_group_id) AS album_count
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COUNT(DISTINCT af.album_id) AS album_count
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FROM genres g
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JOIN recording_genres rgen ON rgen.genre_id = g.id
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JOIN release_group_recordings rgr ON rgr.recording_id = rgen.recording_id
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JOIN file_genres fg ON fg.genre_id = g.id
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JOIN audio_files af ON af.id = fg.audio_file_id
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GROUP BY g.id
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HAVING album_count >= 3
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ORDER BY album_count DESC
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@@ -331,9 +324,8 @@ func (q *Queries) HomeTopGenres(ctx context.Context, limit int64) ([]HomeTopGenr
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const homeUnplayedAlbums = `-- name: HomeUnplayedAlbums :many
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SELECT rg.id AS album_id
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FROM release_groups rg
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JOIN release_group_recordings rgr ON rgr.release_group_id = rg.id
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JOIN audio_files af ON af.recording_id = rgr.recording_id
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FROM albums rg
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JOIN audio_files af ON af.album_id = rg.id
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GROUP BY rg.id
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HAVING SUM(af.play_count) = 0
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ORDER BY RANDOM()
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