feat(recommendation): add LoadCandidatesFromSimilarity (5-source candidate pool)

Implements M4c's similarity-driven candidate pool: CandidateSourceLimits,
DefaultCandidateSourceLimits, and LoadCandidatesFromSimilarity consuming
LoadRadioCandidatesV2 (5-way UNION + max-score dedup). Adds 10 integration
tests covering all sources, exclusions, dedup, and edge cases.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-04-29 08:30:53 -04:00
parent bb3f911761
commit 51811c9d35
2 changed files with 372 additions and 0 deletions
@@ -0,0 +1,283 @@
package recommendation
import (
"context"
"testing"
"github.com/jackc/pgx/v5/pgtype"
"git.fabledsword.com/bvandeusen/minstrel/internal/db/dbq"
)
// helperLBSimilarity inserts a track_similarity row.
func helperLBSimilarity(t *testing.T, f fixture, a, b pgtype.UUID, score float64) {
t.Helper()
if _, err := f.pool.Exec(context.Background(),
`INSERT INTO track_similarity (track_a_id, track_b_id, score, source) VALUES ($1, $2, $3, 'listenbrainz')`,
a, b, score); err != nil {
t.Fatalf("insert track_similarity: %v", err)
}
}
// helperArtistSimilarity inserts an artist_similarity row.
func helperArtistSimilarity(t *testing.T, f fixture, a, b pgtype.UUID, score float64) {
t.Helper()
if _, err := f.pool.Exec(context.Background(),
`INSERT INTO artist_similarity (artist_a_id, artist_b_id, score, source) VALUES ($1, $2, $3, 'listenbrainz')`,
a, b, score); err != nil {
t.Fatalf("insert artist_similarity: %v", err)
}
}
// helperSetTrackGenre updates a track's genre column. Used to retrofit
// genres onto the fixture's auto-created tracks (fixture creates tracks
// with NULL genre).
func helperSetTrackGenre(t *testing.T, f fixture, trackID pgtype.UUID, genre string) {
t.Helper()
if _, err := f.pool.Exec(context.Background(),
`UPDATE tracks SET genre = $1 WHERE id = $2`, genre, trackID); err != nil {
t.Fatalf("set genre: %v", err)
}
}
func defaultLimits() CandidateSourceLimits {
return DefaultCandidateSourceLimits()
}
func TestLoadCandidatesFromSimilarity_LBSimilarSourceContributes(t *testing.T) {
f := newFixture(t, 5)
seed := f.tracks[0]
target := f.tracks[1]
helperLBSimilarity(t, f, seed.ID, target.ID, 0.85)
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
var found *Candidate
for i := range got {
if got[i].Track.ID == target.ID {
found = &got[i]
break
}
}
if found == nil {
t.Fatal("LB-similar target missing from candidates")
}
if found.Inputs.SimilarityScore < 0.84 || found.Inputs.SimilarityScore > 0.86 {
t.Errorf("LB-similar SimilarityScore = %v, want ~0.85", found.Inputs.SimilarityScore)
}
}
func TestLoadCandidatesFromSimilarity_SimilarArtistTracksContribute(t *testing.T) {
f := newFixture(t, 1) // creates 1 artist + 1 album + 1 track (the seed)
seed := f.tracks[0]
// seed_info CTE only emits artist_id rows when genre is non-NULL (it
// uses a LATERAL regexp_split_to_table join filtered by trim(g) <> '').
// Give the seed a genre so that seed_info is populated and the
// similar_artists JOIN can find artist_a_id = seed.ArtistID.
helperSetTrackGenre(t, f, seed.ID, "Rock")
// Add a SECOND artist + track in that artist; relate the two artists via artist_similarity.
otherArtist, _ := f.q.UpsertArtist(context.Background(), dbq.UpsertArtistParams{Name: "OtherArtist", SortName: "OtherArtist"})
otherAlbum, _ := f.q.UpsertAlbum(context.Background(), dbq.UpsertAlbumParams{Title: "OtherAlbum", SortTitle: "OtherAlbum", ArtistID: otherArtist.ID})
otherTrack, _ := f.q.UpsertTrack(context.Background(), dbq.UpsertTrackParams{
Title: "OtherTrack", AlbumID: otherAlbum.ID, ArtistID: otherArtist.ID,
FilePath: "/tmp/other.flac", DurationMs: 180_000,
})
helperArtistSimilarity(t, f, seed.ArtistID, otherArtist.ID, 0.8)
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
for _, c := range got {
if c.Track.ID == otherTrack.ID {
// 0.8 × 0.5 = 0.4
if c.Inputs.SimilarityScore < 0.39 || c.Inputs.SimilarityScore > 0.41 {
t.Errorf("similar-artist SimilarityScore = %v, want ~0.4 (0.8 × 0.5)", c.Inputs.SimilarityScore)
}
return
}
}
t.Error("similar-artist track missing from candidates")
}
func TestLoadCandidatesFromSimilarity_TagOverlapContributes(t *testing.T) {
f := newFixture(t, 2)
seed := f.tracks[0]
target := f.tracks[1]
helperSetTrackGenre(t, f, seed.ID, "Rock; Pop")
helperSetTrackGenre(t, f, target.ID, "Rock")
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
for _, c := range got {
if c.Track.ID == target.ID {
// Seed has 2 tags; target shares 1 → jaccard 1/2 = 0.5.
if c.Inputs.SimilarityScore < 0.49 || c.Inputs.SimilarityScore > 0.51 {
t.Errorf("tag-overlap SimilarityScore = %v, want ~0.5", c.Inputs.SimilarityScore)
}
return
}
}
t.Error("tag-overlap target missing from candidates")
}
func TestLoadCandidatesFromSimilarity_LikesOverlapContributes(t *testing.T) {
f := newFixture(t, 2)
seed := f.tracks[0]
liked := f.tracks[1]
helperSetTrackGenre(t, f, seed.ID, "Rock")
helperSetTrackGenre(t, f, liked.ID, "Rock")
if _, err := f.q.LikeTrack(context.Background(), dbq.LikeTrackParams{UserID: f.user, TrackID: liked.ID}); err != nil {
t.Fatalf("like: %v", err)
}
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
for _, c := range got {
if c.Track.ID == liked.ID {
// Both tracks tagged "Rock" → jaccard 1/1 = 1.0 from tag-overlap.
// likes-overlap = 0.6. Max wins = 1.0.
if c.Inputs.SimilarityScore < 0.59 {
t.Errorf("likes-overlap candidate SimilarityScore = %v, want ≥ 0.6", c.Inputs.SimilarityScore)
}
return
}
}
t.Error("liked track with shared tag missing from candidates")
}
func TestLoadCandidatesFromSimilarity_RandomFillReturnsTracks(t *testing.T) {
f := newFixture(t, 10) // 10 tracks; no similarity data
seed := f.tracks[0]
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
if len(got) == 0 {
t.Error("random fill returned 0 candidates; expected at least some")
}
for _, c := range got {
if c.Inputs.SimilarityScore != 0 {
t.Errorf("random-fill track %s has SimilarityScore = %v, want 0", c.Track.Title, c.Inputs.SimilarityScore)
}
}
}
func TestLoadCandidatesFromSimilarity_ExcludeListRespected(t *testing.T) {
f := newFixture(t, 5)
seed := f.tracks[0]
excluded := f.tracks[1].ID
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true},
[]pgtype.UUID{excluded}, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
for _, c := range got {
if c.Track.ID == excluded {
t.Error("excluded track appeared in candidates")
}
}
}
func TestLoadCandidatesFromSimilarity_SeedAlwaysExcluded(t *testing.T) {
f := newFixture(t, 5)
seed := f.tracks[0]
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
for _, c := range got {
if c.Track.ID == seed.ID {
t.Error("seed track appeared in candidates")
}
}
}
func TestLoadCandidatesFromSimilarity_RecentlyPlayedExcluded(t *testing.T) {
f := newFixture(t, 5)
seed := f.tracks[0]
recent := f.tracks[1].ID
var sessionID pgtype.UUID
if err := f.pool.QueryRow(context.Background(),
`INSERT INTO play_sessions (user_id, started_at, last_event_at, client_id)
VALUES ($1, now() - interval '5 minutes', now(), 'test') RETURNING id`,
f.user).Scan(&sessionID); err != nil {
t.Fatalf("session: %v", err)
}
if _, err := f.pool.Exec(context.Background(),
`INSERT INTO play_events (user_id, track_id, session_id, started_at, ended_at, duration_played_ms, completion_ratio, was_skipped)
VALUES ($1, $2, $3, now() - interval '30 minutes', now() - interval '20 minutes', 200000, 0.9, false)`,
f.user, recent, sessionID); err != nil {
t.Fatalf("play_event: %v", err)
}
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
for _, c := range got {
if c.Track.ID == recent {
t.Error("recently-played track appeared in candidates")
}
}
}
func TestLoadCandidatesFromSimilarity_DedupTakesMaxScore(t *testing.T) {
f := newFixture(t, 2)
seed := f.tracks[0]
target := f.tracks[1]
helperSetTrackGenre(t, f, seed.ID, "Rock")
helperSetTrackGenre(t, f, target.ID, "Rock") // jaccard 1/1 = 1.0 from tag-overlap
helperLBSimilarity(t, f, seed.ID, target.ID, 0.5) // weaker LB signal
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
count := 0
for _, c := range got {
if c.Track.ID == target.ID {
count++
// tag-overlap (1.0) wins over LB (0.5) per max() — expect ≥ 0.99
if c.Inputs.SimilarityScore < 0.99 {
t.Errorf("dedup max SimilarityScore = %v, want ≥ 0.99 (tag-overlap should win)", c.Inputs.SimilarityScore)
}
}
}
if count != 1 {
t.Errorf("target appeared %d times, want 1 (dedup failed)", count)
}
}
func TestLoadCandidatesFromSimilarity_EmptyLibrary_NoError(t *testing.T) {
f := newFixture(t, 1) // just the seed
seed := f.tracks[0]
got, err := LoadCandidatesFromSimilarity(
context.Background(), f.q, f.user, seed.ID, 1, SessionVector{Seed: true}, nil, defaultLimits(),
)
if err != nil {
t.Fatalf("load: %v", err)
}
// Only the seed exists; it's excluded → 0 candidates.
if len(got) != 0 {
t.Errorf("got %d candidates from seed-only library, want 0", len(got))
}
}