4fca0e66cb
Root cause of zero LB recommendations (every similar-recordings AND
similar-artists call returned HTTP 404, worker logs):
- Wrong host/path: client called
api.listenbrainz.org/1/explore/similar-{recordings,artists}/{mbid}.
/explore/... is a WEBSITE route, not an API endpoint — it 308s then
404s. Similarity datasets live on the separate Labs API.
- Invalid algorithm: the hardcoded
session_…_session_30_…_limit_100_filter_True_… is not a permitted
Labs enum member (400s) regardless of host.
Verified against the live Labs API:
GET labs.api.listenbrainz.org/similar-recordings/json
?recording_mbids=<mbid>&algorithm=<algo>
GET labs.api.listenbrainz.org/similar-artists/json
?artist_mbids=<mbid>&algorithm=<algo>
algorithm=session_based_days_9000_session_300_contribution_5_threshold_15_limit_50_skip_30
→ 200 for both. Response field names (recording_mbid/artist_mbid/
name/score) already match the existing structs — parsing unchanged.
- Add defaultLabsBaseURL + Client.LabsBaseURL (separate from the main
BaseURL; scrobble submission still uses api.listenbrainz.org).
- Drop the count/limit query param — result size is encoded in the
algorithm name (limit_50); caller still applies its own top-K.
- Tests: newTestClient sets LabsBaseURL; the two *_LimitParamSet tests
become *_MbidParamSet (assert the Labs path + mbid query param).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
244 lines
6.7 KiB
Go
244 lines
6.7 KiB
Go
// Package similarity owns the inbound ListenBrainz similarity ingest
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// pipeline. A periodic worker queries the LB Labs API
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// (labs.api.listenbrainz.org similar-recordings / similar-artists) for
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// tracks the user has played, filters returned MBIDs to the local
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// library, and stores the top-K edges in track_similarity /
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// artist_similarity for M4c's radio candidate-pool builder.
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package similarity
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import (
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"context"
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"errors"
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"log/slog"
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"sort"
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"time"
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"github.com/jackc/pgx/v5/pgtype"
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"github.com/jackc/pgx/v5/pgxpool"
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"git.fabledsword.com/bvandeusen/minstrel/internal/db/dbq"
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"git.fabledsword.com/bvandeusen/minstrel/internal/scrobble/listenbrainz"
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)
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// Worker drains played-tracks-and-artists needing similarity and POSTs
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// the results into track_similarity / artist_similarity. Failures are
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// passively retried via the timer (no durable queue table — losing one
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// tick's worth of refresh attempts is "1 hour of staleness," fine).
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type Worker struct {
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pool *pgxpool.Pool
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client *listenbrainz.Client
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logger *slog.Logger
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tick time.Duration
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batch int32
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topK int
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}
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// NewWorker constructs a worker with production defaults: 1h tick,
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// batch=25, topK=20. batch is tracks AND artists processed per tick;
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// at 25/h a freshly-played library converges in hours, not days, while
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// staying well under ListenBrainz rate limits (429s abort the tick).
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func NewWorker(pool *pgxpool.Pool, client *listenbrainz.Client, logger *slog.Logger) *Worker {
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return &Worker{
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pool: pool,
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client: client,
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logger: logger,
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tick: 1 * time.Hour,
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batch: 25,
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topK: 20,
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}
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}
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// Run blocks until ctx is cancelled, ticking every w.tick.
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func (w *Worker) Run(ctx context.Context) {
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t := time.NewTicker(w.tick)
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defer t.Stop()
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for {
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select {
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case <-ctx.Done():
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return
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case <-t.C:
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if err := w.tickOnce(ctx); err != nil {
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w.logger.Error("similarity: tick failed", "err", err)
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}
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}
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}
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}
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// tickOnce drains one batch of tracks and one batch of artists. Per-row
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// errors are logged and skipped (passive retry via timer). 429 aborts the
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// entire tick.
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func (w *Worker) tickOnce(ctx context.Context) error {
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q := dbq.New(w.pool)
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if err := w.tickTracks(ctx, q); err != nil {
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return err
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}
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return w.tickArtists(ctx, q)
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}
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func (w *Worker) tickTracks(ctx context.Context, q *dbq.Queries) error {
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rows, err := q.ListPlayedTracksNeedingSimilarity(ctx, w.batch)
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if err != nil {
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return err
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}
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for _, r := range rows {
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if r.Mbid == nil {
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continue // defensive — query already filters NULL
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}
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results, err := w.client.SimilarRecordings(ctx, *r.Mbid, 100)
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if err != nil {
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var ra *listenbrainz.RetryAfterError
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if errors.As(err, &ra) {
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w.logger.Warn("similarity: 429 — aborting tick", "retry_after", ra.Wait)
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return nil
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}
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w.logger.Warn("similarity: similar-recordings failed", "track_id", r.ID, "err", err)
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continue
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}
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w.upsertTrackSimilar(ctx, q, r.ID, results)
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}
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return nil
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}
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func (w *Worker) tickArtists(ctx context.Context, q *dbq.Queries) error {
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rows, err := q.ListPlayedArtistsNeedingSimilarity(ctx, w.batch)
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if err != nil {
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return err
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}
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for _, r := range rows {
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if r.Mbid == nil {
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continue
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}
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results, err := w.client.SimilarArtists(ctx, *r.Mbid, 100)
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if err != nil {
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var ra *listenbrainz.RetryAfterError
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if errors.As(err, &ra) {
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w.logger.Warn("similarity: 429 — aborting tick", "retry_after", ra.Wait)
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return nil
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}
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w.logger.Warn("similarity: similar-artists failed", "artist_id", r.ID, "err", err)
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continue
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}
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w.upsertArtistSimilar(ctx, q, r.ID, results)
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}
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return nil
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}
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// upsertTrackSimilar filters returned MBIDs to those in our library, takes
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// top-K by score, and upserts rows.
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func (w *Worker) upsertTrackSimilar(ctx context.Context, q *dbq.Queries, trackAID pgtype.UUID, results []listenbrainz.SimilarRecording) {
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if len(results) == 0 {
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return
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}
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sort.Slice(results, func(i, j int) bool { return results[i].Score > results[j].Score })
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mbids := make([]string, 0, len(results))
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for _, r := range results {
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mbids = append(mbids, r.MBID)
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}
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rows, err := q.GetTracksByMBIDs(ctx, mbids)
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if err != nil {
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w.logger.Warn("similarity: GetTracksByMBIDs", "err", err)
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return
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}
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idByMBID := make(map[string]pgtype.UUID, len(rows))
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for _, r := range rows {
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if r.Mbid != nil {
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idByMBID[*r.Mbid] = r.ID
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}
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}
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taken := 0
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for _, r := range results {
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if taken >= w.topK {
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break
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}
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localID, ok := idByMBID[r.MBID]
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if !ok {
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continue
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}
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if localID == trackAID {
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continue // defensive — DB CHECK constraint also catches self-edges
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}
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if uerr := q.UpsertTrackSimilarity(ctx, dbq.UpsertTrackSimilarityParams{
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TrackAID: trackAID, TrackBID: localID, Score: r.Score,
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}); uerr != nil {
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w.logger.Warn("similarity: UpsertTrackSimilarity", "err", uerr)
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continue
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}
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taken++
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}
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}
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func (w *Worker) upsertArtistSimilar(ctx context.Context, q *dbq.Queries, artistAID pgtype.UUID, results []listenbrainz.SimilarArtist) {
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if len(results) == 0 {
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return
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}
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sort.Slice(results, func(i, j int) bool { return results[i].Score > results[j].Score })
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mbids := make([]string, 0, len(results))
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for _, r := range results {
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mbids = append(mbids, r.MBID)
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}
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rows, err := q.GetArtistsByMBIDs(ctx, mbids)
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if err != nil {
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w.logger.Warn("similarity: GetArtistsByMBIDs", "err", err)
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return
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}
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idByMBID := make(map[string]pgtype.UUID, len(rows))
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for _, r := range rows {
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if r.Mbid != nil {
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idByMBID[*r.Mbid] = r.ID
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}
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}
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// Matched: in-library similars → artist_similarity (existing path).
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takenMatched := 0
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for _, r := range results {
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if takenMatched >= w.topK {
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break
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}
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localID, ok := idByMBID[r.MBID]
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if !ok {
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continue
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}
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if localID == artistAID {
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continue
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}
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if uerr := q.UpsertArtistSimilarity(ctx, dbq.UpsertArtistSimilarityParams{
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ArtistAID: artistAID, ArtistBID: localID, Score: r.Score,
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}); uerr != nil {
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w.logger.Warn("similarity: UpsertArtistSimilarity", "err", uerr)
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continue
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}
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takenMatched++
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}
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// Unmatched: out-of-library similars → artist_similarity_unmatched (M5c).
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// Same top-K cap as the matched path. Skip rows missing a name — we can't
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// render a suggestion card without one.
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takenUnmatched := 0
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for _, r := range results {
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if takenUnmatched >= w.topK {
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break
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}
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if _, inLib := idByMBID[r.MBID]; inLib {
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continue
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}
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if r.Name == "" {
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w.logger.Debug("similarity: skipping unmatched similar with empty name", "mbid", r.MBID)
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continue
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}
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if uerr := q.UpsertArtistSimilarityUnmatched(ctx, dbq.UpsertArtistSimilarityUnmatchedParams{
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SeedArtistID: artistAID,
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CandidateMbid: r.MBID,
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CandidateName: r.Name,
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Score: r.Score,
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Source: "listenbrainz",
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}); uerr != nil {
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w.logger.Warn("similarity: UpsertArtistSimilarityUnmatched", "err", uerr)
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continue
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}
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takenUnmatched++
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}
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}
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