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
114 lines
2.8 KiB
Go
114 lines
2.8 KiB
Go
package explore
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import (
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"archive/tar"
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"bytes"
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"log/slog"
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"testing"
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"github.com/parquet-go/parquet-go"
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)
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// Fixtures shared by the client tests and the tagged index-builder
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// tests. They live in an untagged file so both builds compile.
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// Fixed MBIDs for fixtures.
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const (
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recA = "11111111-1111-1111-1111-111111111111"
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recB = "22222222-2222-2222-2222-222222222222"
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recC = "33333333-3333-3333-3333-333333333333"
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// recD is on relA and nobody has ever played it, which is the point:
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// it must count toward relA's track total without being indexed as a
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// recording itself.
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recD = "44444444-4444-4444-4444-444444444444"
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relA = "aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa"
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relB = "bbbbbbbb-bbbb-bbbb-bbbb-bbbbbbbbbbbb"
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rgA = "cccccccc-cccc-cccc-cccc-cccccccccccc"
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rgB = "dddddddd-dddd-dddd-dddd-dddddddddddd"
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artA = "eeeeeeee-eeee-eeee-eeee-eeeeeeeeeeee"
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artB = "ffffffff-ffff-ffff-ffff-ffffffffffff"
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)
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func testLogger() *slog.Logger {
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return slog.New(slog.DiscardHandler)
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}
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func makeTar(t *testing.T, members map[string][]byte, order []string) []byte {
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t.Helper()
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var buf bytes.Buffer
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tw := tar.NewWriter(&buf)
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for _, name := range order {
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data := members[name]
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hdr := &tar.Header{
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Name: name,
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Mode: 0o644,
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Size: int64(len(data)),
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Typeflag: tar.TypeReg,
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}
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if err := tw.WriteHeader(hdr); err != nil {
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t.Fatalf("tar header: %v", err)
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}
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if _, err := tw.Write(data); err != nil {
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t.Fatalf("tar write: %v", err)
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}
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}
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if err := tw.Close(); err != nil {
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t.Fatalf("tar close: %v", err)
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}
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return buf.Bytes()
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}
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func makeParquet(t *testing.T, rows []sparkFixtureRow) []byte {
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t.Helper()
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var buf bytes.Buffer
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w := parquet.NewGenericWriter[sparkFixtureRow](&buf)
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if _, err := w.Write(rows); err != nil {
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t.Fatalf("parquet write: %v", err)
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}
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if err := w.Close(); err != nil {
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t.Fatalf("parquet close: %v", err)
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}
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return buf.Bytes()
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}
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// sparkFixtureRow mimics the real spark listens schema: the aggregator
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// must project just recording/release/artist MBIDs out of it.
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type sparkFixtureRow struct {
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ListenedAt int64 `parquet:"listened_at"`
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UserID int64 `parquet:"user_id"`
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ArtistName string `parquet:"artist_name,optional"`
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RecordingMBID string `parquet:"recording_mbid,optional"`
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ReleaseMBID string `parquet:"release_mbid,optional"`
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ArtistMBIDs []string `parquet:"artist_credit_mbids,optional,list"`
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}
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// listensOf builds n identical listen rows for a recording.
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func listensOf(n int, recording, release string, artists []string) []sparkFixtureRow {
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rows := make([]sparkFixtureRow, n)
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for i := range rows {
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rows[i] = sparkFixtureRow{
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ListenedAt: 1700000000 + int64(i),
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UserID: int64(i),
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ArtistName: "Fixture Artist",
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RecordingMBID: recording,
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ReleaseMBID: release,
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ArtistMBIDs: artists,
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}
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}
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return rows
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}
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