Files
minstrel/internal/playlists/foryou_test.go
T
bvandeusen 9e02878b61
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feat(playlists): For You composition v2 — multi-seed blend + weighted fresh tail
Two approved composition changes (#1269), mechanism only — the
taste/fresh share stays data-decided (#1252) and pick_kind
attribution is unchanged.

Multi-seed blending: each day's build now seeds from up to 3 of the
user's top-5 tracks (pickDailySeeds, the generalized daily shuffle)
instead of one rotating anchor, so the mix spans neighborhoods within
a day and stops feeling bipolar as the rotation swings between
dissimilar seeds. Per-seed pools merge first-seen-deduped; the head
is filled best-first under 50/30/20 per-seed quotas (60/40 for two
seeds) so one neighborhood can't monopolize it, with thin-seed quota
spilling best-first.

Score-weighted fresh tail: the tail sample (rank 2*headN onward) was
uniform — the 380th-best candidate as likely as the 101st. It now
uses deterministic Efraimidis-Spirakis keys with weight halving every
50 ranks, so freshness keeps its "you'll probably enjoy this" half
while still rotating daily.

The retired single-seed picker's one other caller, You-might-like,
moves to pickDailySeeds(n=1) — a single neighborhood per day is right
for a short shelf, and the behavior note is inline.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TsF3cNoKrqCYsU78cXC8U6
2026-07-03 09:02:35 -04:00

433 lines
14 KiB
Go

package playlists
import (
"testing"
"time"
"github.com/jackc/pgx/v5/pgtype"
"git.fabledsword.com/bvandeusen/minstrel/internal/db/dbq"
"git.fabledsword.com/bvandeusen/minstrel/internal/recommendation"
)
// testUserID is a stable UUID used to seed the daily-determinism RNGs in
// scoreAndSortCandidates / pickHeadAndTail / pickTopN. Tests pass it to
// every call so the jitter is reproducible across test runs.
var testUserID = pgtype.UUID{Bytes: [16]byte{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}, Valid: true}
// makeCand constructs a Candidate with distinct track/album/artist IDs
// and a SimilarityScore that drives distinguishable scores when passed
// through recommendation.Score. Using SimilarityScore alone is sufficient
// because systemMixWeights.SimilarityWeight = 1.5 (non-zero), so
// different similarity values produce different scores.
//
// Tests below use similarity values with gaps wide enough that the
// systemMixWeights JitterMagnitude (±0.1) cannot perturb the top-of-pool
// ordering, so assertions about head order remain meaningful.
func makeCand(trackN, albumN, artistN int, similarity float64) recommendation.Candidate {
var tID, aID, arID pgtype.UUID
tID.Valid, aID.Valid, arID.Valid = true, true, true
tID.Bytes[15] = byte(trackN)
aID.Bytes[15] = byte(albumN)
arID.Bytes[15] = byte(artistN)
return recommendation.Candidate{
Track: dbq.Track{ID: tID, AlbumID: aID, ArtistID: arID},
Inputs: recommendation.ScoringInputs{
SimilarityScore: similarity,
},
}
}
func TestCapCandidatesByAlbumAndArtist_AlbumCap(t *testing.T) {
// discoverMaxTracksPerAlbum = 2: third track on album 10 must be dropped.
in := []recommendation.Candidate{
makeCand(1, 10, 100, 1.0),
makeCand(2, 10, 101, 0.9),
makeCand(3, 10, 102, 0.8), // 3rd from album 10 → drop
makeCand(4, 11, 103, 0.7),
}
got := capCandidatesByAlbumAndArtist(in)
if len(got) != 3 {
t.Errorf("len = %d, want 3 (album 10 capped at 2)", len(got))
}
}
func TestCapCandidatesByAlbumAndArtist_ArtistCap(t *testing.T) {
// discoverMaxTracksPerArtist = 3: fourth track by artist 100 must be dropped.
in := []recommendation.Candidate{
makeCand(1, 10, 100, 1.0),
makeCand(2, 11, 100, 0.9),
makeCand(3, 12, 100, 0.8),
makeCand(4, 13, 100, 0.7), // 4th by artist 100 → drop
makeCand(5, 14, 101, 0.6),
}
got := capCandidatesByAlbumAndArtist(in)
if len(got) != 4 {
t.Errorf("len = %d, want 4 (artist 100 capped at 3)", len(got))
}
}
func TestCapCandidatesByAlbumAndArtist_PreservesOrder(t *testing.T) {
// All distinct albums and artists: all kept, original order preserved.
in := []recommendation.Candidate{
makeCand(3, 10, 100, 0.5),
makeCand(1, 11, 101, 0.9),
makeCand(2, 12, 102, 0.7),
}
got := capCandidatesByAlbumAndArtist(in)
if len(got) != 3 {
t.Fatalf("len = %d, want 3", len(got))
}
for i, want := range []byte{3, 1, 2} {
if got[i].Track.ID.Bytes[15] != want {
t.Errorf("got[%d].ID = %d, want %d", i, got[i].Track.ID.Bytes[15], want)
}
}
}
func TestCapCandidatesByAlbumAndArtist_Empty(t *testing.T) {
got := capCandidatesByAlbumAndArtist(nil)
if len(got) != 0 {
t.Errorf("len = %d, want 0", len(got))
}
}
func TestPickHeadAndTail_SmallPool(t *testing.T) {
// Pool < headN+tailN → return up to total entries, no tail split.
in := []recommendation.Candidate{
makeCand(1, 10, 100, 1.0),
makeCand(2, 11, 101, 0.9),
makeCand(3, 12, 102, 0.8),
}
got := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-07", time.Now(), 5, 2)
if len(got) != 3 {
t.Errorf("len = %d, want 3 (pool too small for head/tail split)", len(got))
}
}
func TestPickHeadAndTail_ExactlyTotal(t *testing.T) {
// Pool == headN+tailN: no tail to sample from, returns all.
// Wide score gaps (1.0 per step) keep jitter from perturbing order.
in := make([]recommendation.Candidate, 0, 7)
for i := 0; i < 7; i++ {
in = append(in, makeCand(i+1, i+1, i+1, float64(7-i)))
}
got := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-07", time.Now(), 5, 2)
if len(got) != 7 {
t.Errorf("len = %d, want 7 (pool == total)", len(got))
}
}
func TestPickHeadAndTail_HeadAndTailSplit(t *testing.T) {
// Pool of 100 distinct (album, artist) pairs; no caps trim.
// With headN=20, tailN=5, expect 25 entries total.
// Wide score gaps (1.0 per step) keep jitter from perturbing order.
in := make([]recommendation.Candidate, 0, 100)
for i := 0; i < 100; i++ {
in = append(in, makeCand(i+1, i+1, i+1, float64(100-i)))
}
got := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-07", time.Now(), 20, 5)
if len(got) != 25 {
t.Errorf("len = %d, want 25 (20 head + 5 tail)", len(got))
}
}
func TestPickHeadAndTail_Determinism(t *testing.T) {
// Same inputs, same dateStr → identical output both times.
in := make([]recommendation.Candidate, 0, 100)
for i := 0; i < 100; i++ {
in = append(in, makeCand(i+1, i+1, i+1, float64(100-i)))
}
now := time.Now()
got1 := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-07", now, 20, 5)
got2 := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-07", now, 20, 5)
if len(got1) != len(got2) {
t.Fatalf("len mismatch: %d vs %d", len(got1), len(got2))
}
for i := range got1 {
if got1[i].TrackID.Bytes[15] != got2[i].TrackID.Bytes[15] {
t.Errorf("position %d differs across calls (not deterministic within day)", i)
break
}
}
}
func TestPickHeadAndTail_HeadStable_TailVariesAcrossDays(t *testing.T) {
// Head (positions 0..headN-1) must match across different date strings.
// Tail (positions headN..headN+tailN-1) should differ for different dates
// because tieBreakHash incorporates the date.
in := make([]recommendation.Candidate, 0, 100)
for i := 0; i < 100; i++ {
in = append(in, makeCand(i+1, i+1, i+1, float64(100-i)))
}
now := time.Now()
day1 := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-07", now, 20, 5)
day2 := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-08", now, 20, 5)
if len(day1) != 25 || len(day2) != 25 {
t.Fatalf("len mismatch: day1=%d day2=%d", len(day1), len(day2))
}
// Head (score-sorted, deterministic): positions 0..19 must match.
for i := 0; i < 20; i++ {
if day1[i].TrackID.Bytes[15] != day2[i].TrackID.Bytes[15] {
t.Errorf("head position %d differs across date strings (should be score-stable)", i)
}
}
// Tail (tieBreakHash order): at least one position should differ.
tailDiffers := false
for i := 20; i < 25; i++ {
if day1[i].TrackID.Bytes[15] != day2[i].TrackID.Bytes[15] {
tailDiffers = true
break
}
}
if !tailDiffers {
t.Errorf("tail identical across different date strings (tieBreakHash not using dateStr)")
}
}
func TestPickHeadAndTail_TailFromBeyond2xHeadN(t *testing.T) {
// With headN=5 and a 50-candidate pool, tailStart = 2*5 = 10.
// Tail samples come from positions >=10, not from positions 5..9.
// Verify: the first 5 positions contain tracks from the top-5 by score,
// and positions 5..9 (the "buffer zone") do not appear in the tail.
//
// Tracks 1..50 have similarity 0.99..0.01 (descending), so
// after scoring the sorted order is tracks 1,2,3,...,50.
// Top 5 head = tracks 1..5.
// Buffer zone (positions 5..9) = tracks 6..10.
// Tail pool = tracks 11..50; tail sample = 3 from that pool.
in := make([]recommendation.Candidate, 0, 50)
for i := 0; i < 50; i++ {
// trackN = i+1, score descends: track 1 scores highest.
// Wide score gaps (1.0 per step) keep jitter from perturbing order.
sim := float64(50 - i)
in = append(in, makeCand(i+1, i+1, i+1, sim))
}
got := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-07", time.Now(), 5, 3)
if len(got) != 8 {
t.Fatalf("len = %d, want 8 (5 head + 3 tail)", len(got))
}
// Head tracks must be tracks 1..5 (highest scorers).
for i := 0; i < 5; i++ {
if got[i].TrackID.Bytes[15] != byte(i+1) {
t.Errorf("head[%d] = track %d, want track %d",
i, got[i].TrackID.Bytes[15], i+1)
}
}
// Buffer-zone tracks 6..10 must NOT appear in the tail positions 5..7.
bufferSet := map[byte]bool{6: true, 7: true, 8: true, 9: true, 10: true}
for i := 5; i < 8; i++ {
if bufferSet[got[i].TrackID.Bytes[15]] {
t.Errorf("tail[%d] = track %d (buffer zone); should come from positions >=10",
i-5, got[i].TrackID.Bytes[15])
}
}
}
func TestPickTopN_DiversityCap(t *testing.T) {
// Verify pickTopN now enforces the diversity cap.
// 5 tracks from the same artist: only 3 should survive the cap.
in := []recommendation.Candidate{
makeCand(1, 10, 100, 1.0),
makeCand(2, 11, 100, 0.9),
makeCand(3, 12, 100, 0.8),
makeCand(4, 13, 100, 0.7), // 4th by artist → dropped by cap
makeCand(5, 14, 100, 0.6), // 5th by artist → dropped by cap
}
got := pickTopN(in, testUserID, "2026-05-07", time.Now(), 25)
if len(got) != 3 {
t.Errorf("len = %d, want 3 (artist 100 capped at 3)", len(got))
}
}
func TestPickHeadAndTail_MarksPickKinds(t *testing.T) {
// 100-deep pool with headN=20, tailN=5: the 20 head entries are the
// taste picks, the 5 tail entries the freshness injection (#1249).
in := make([]recommendation.Candidate, 0, 100)
for i := 0; i < 100; i++ {
in = append(in, makeCand(i+1, i+1, i+1, float64(100-i)))
}
got := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-07", time.Now(), 20, 5)
if len(got) != 25 {
t.Fatalf("len = %d, want 25", len(got))
}
for i := 0; i < 20; i++ {
if got[i].PickKind != pickKindTaste {
t.Errorf("head[%d].PickKind = %q, want %q", i, got[i].PickKind, pickKindTaste)
}
}
for i := 20; i < 25; i++ {
if got[i].PickKind != pickKindFresh {
t.Errorf("tail[%d].PickKind = %q, want %q", i-20, got[i].PickKind, pickKindFresh)
}
}
}
func TestPickHeadAndTail_SmallPoolAllTaste(t *testing.T) {
// The small-pool fallback is pure top-N-by-score — that IS the taste
// mechanism, so nothing on this path is an exploration pick.
in := []recommendation.Candidate{
makeCand(1, 10, 100, 1.0),
makeCand(2, 11, 101, 0.9),
makeCand(3, 12, 102, 0.8),
}
got := pickHeadAndTail(in, nil, 1, testUserID, "2026-05-07", time.Now(), 5, 2)
for i, rc := range got {
if rc.PickKind != pickKindTaste {
t.Errorf("got[%d].PickKind = %q, want %q (fallback is all taste)",
i, rc.PickKind, pickKindTaste)
}
}
}
func TestPickTopN_NoPickKind(t *testing.T) {
// Songs-like-X and the discovery mixes don't split; their rows must
// persist pick_kind NULL (empty string here).
in := []recommendation.Candidate{makeCand(1, 10, 100, 1.0)}
got := pickTopN(in, testUserID, "2026-05-07", time.Now(), 25)
if len(got) != 1 || got[0].PickKind != "" {
t.Errorf("pickTopN PickKind = %q, want empty (persists as NULL)", got[0].PickKind)
}
}
func TestHeadQuotas(t *testing.T) {
cases := []struct {
seeds, headN int
want []int
}{
{1, 50, []int{50}},
{2, 50, []int{30, 20}},
{3, 50, []int{25, 15, 10}},
{3, 7, []int{4, 2, 1}}, // rounding remainder → primary seed
}
for _, c := range cases {
got := headQuotas(c.seeds, c.headN)
if len(got) != len(c.want) {
t.Fatalf("headQuotas(%d, %d) len = %d, want %d", c.seeds, c.headN, len(got), len(c.want))
}
sum := 0
for i := range got {
sum += got[i]
if got[i] != c.want[i] {
t.Errorf("headQuotas(%d, %d)[%d] = %d, want %d", c.seeds, c.headN, i, got[i], c.want[i])
}
}
if sum != c.headN {
t.Errorf("headQuotas(%d, %d) sums to %d, want %d", c.seeds, c.headN, sum, c.headN)
}
}
}
func TestPickQuotaHead_BlendsSeeds(t *testing.T) {
// Seed 0's neighborhood out-scores everything (#1269): without
// quotas the head would be all seed-0. With headN=10 and quotas
// [5,3,2], the walk takes the best 5 from seed 0, then seeds 1 and
// 2 get their guaranteed slots from deeper ranks.
in := make([]recommendation.Candidate, 0, 30)
seedOf := map[pgtype.UUID]int{}
for i := 0; i < 30; i++ {
c := makeCand(i+1, i+1, i+1, float64(30-i))
si := 0
if i >= 20 && i < 25 {
si = 1
} else if i >= 25 {
si = 2
}
seedOf[c.Track.ID] = si
in = append(in, c)
}
// Input is already score-descending and cap-free.
head := pickQuotaHead(in, seedOf, 3, 10)
if len(head) != 10 {
t.Fatalf("head len = %d, want 10", len(head))
}
want := []byte{1, 2, 3, 4, 5, 21, 22, 23, 26, 27}
for i, w := range want {
if head[i].Track.ID.Bytes[15] != w {
t.Errorf("head[%d] = track %d, want %d", i, head[i].Track.ID.Bytes[15], w)
}
}
}
func TestPickQuotaHead_ThinSeedSpillsBestFirst(t *testing.T) {
// Seed 1 has a single candidate; its unfilled quota goes to the
// best remaining candidates regardless of seed.
in := make([]recommendation.Candidate, 0, 12)
seedOf := map[pgtype.UUID]int{}
for i := 0; i < 12; i++ {
c := makeCand(i+1, i+1, i+1, float64(12-i))
si := 0
if i == 11 {
si = 1 // the worst-ranked candidate is seed 1's only one
}
seedOf[c.Track.ID] = si
in = append(in, c)
}
head := pickQuotaHead(in, seedOf, 2, 10)
if len(head) != 10 {
t.Fatalf("head len = %d, want 10", len(head))
}
// Quotas [6,4]: seed 0 fills 6 (tracks 1-6), seed 1 fills 1
// (track 12), spill tops up with tracks 7-9.
got := map[byte]bool{}
for _, c := range head {
got[c.Track.ID.Bytes[15]] = true
}
for _, w := range []byte{1, 2, 3, 4, 5, 6, 7, 8, 9, 12} {
if !got[w] {
t.Errorf("head missing track %d (spill should fill best-first)", w)
}
}
}
func TestPickWeightedTail_PrefersEarlyRanks(t *testing.T) {
// The fresh tail's sample is rank-weighted (#1269): across many
// days, the mean selected rank must sit well below the uniform
// draw's ~99.5 for a 200-deep pool.
pool := make([]recommendation.Candidate, 0, 200)
for i := 0; i < 200; i++ {
c := makeCand(1, i+1, i+1, 1.0)
// Distinct track IDs beyond one byte: bytes wrap at 256.
c.Track.ID.Bytes[14] = byte(i / 200)
c.Track.ID.Bytes[15] = byte(i % 200)
pool = append(pool, c)
}
rankOf := map[pgtype.UUID]int{}
for i, c := range pool {
rankOf[c.Track.ID] = i
}
totalRank, picks := 0, 0
for day := 1; day <= 28; day++ {
got := pickWeightedTail(pool, "2026-06-"+twoDigits(day), 10)
if len(got) != 10 {
t.Fatalf("day %d: len = %d, want 10", day, len(got))
}
for _, c := range got {
totalRank += rankOf[c.Track.ID]
picks++
}
}
mean := float64(totalRank) / float64(picks)
if mean > 80 {
t.Errorf("mean selected rank = %.1f; want well below uniform ~99.5", mean)
}
}
func TestPickWeightedTail_DeterministicWithinDay(t *testing.T) {
pool := make([]recommendation.Candidate, 0, 60)
for i := 0; i < 60; i++ {
pool = append(pool, makeCand(i+1, i+1, i+1, 1.0))
}
a := pickWeightedTail(pool, "2026-06-05", 8)
b := pickWeightedTail(pool, "2026-06-05", 8)
for i := range a {
if a[i].Track.ID != b[i].Track.ID {
t.Fatal("weighted tail must be deterministic within a day")
}
}
}