feat(taste): phase 4 — recommendation observability (#796)
Per-source play outcomes so the operator can see whether each recommendation
surface is landing and tune the now-operator-tunable taste weights.
Server:
- query RecommendationSourceMetricsForUser: groups the user's play_events by
source (system-playlist surface), reporting plays / skips / avg completion
over a window; NULL-source (library/radio) plays excluded.
- GET /api/me/recommendation-metrics?days=30 (default 30, capped 365) →
{window_days, sources:[{source, plays, skips, skip_rate, avg_completion}]}.
- handler test: 401 unauth; per-source aggregation + NULL-source exclusion +
skip_rate / avg_completion math.
Web:
- lib/api/metrics.ts: query + friendly source labels.
- settings page gains a "Recommendation metrics" card (table of surface / plays
/ skip rate / avg completion), with loading/error/empty states.
- settings tests mock the new query (manual subscribe-store, hoisting-safe).
Note: You-might-like plays aren't source-tagged (it's a Home row, not a system
playlist), so this covers For-You / Discover / the mixes. Tagging YML plays
would be a client follow-up.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -74,6 +74,7 @@ func Mount(r chi.Router, pool *pgxpool.Pool, logger *slog.Logger, events *playev
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authed.Post("/auth/logout", h.handleLogout)
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authed.Get("/me", h.handleGetMe)
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authed.Get("/me/system-playlists-status", h.handleGetSystemPlaylistsStatus)
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authed.Get("/me/recommendation-metrics", h.handleGetRecommendationMetrics)
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authed.Get("/me/listenbrainz", h.handleGetListenBrainz)
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authed.Put("/me/listenbrainz", h.handlePutListenBrainz)
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authed.Get("/me/history", h.handleGetMyHistory)
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@@ -0,0 +1,94 @@
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package api
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import (
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"net/http"
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"strconv"
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"git.fabledsword.com/bvandeusen/minstrel/internal/apierror"
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"git.fabledsword.com/bvandeusen/minstrel/internal/db/dbq"
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)
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const (
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recMetricsDefaultDays = 30
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recMetricsMaxDays = 365
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)
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// recommendationMetric is one recommendation surface's outcomes.
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type recommendationMetric struct {
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Source string `json:"source"` // 'for_you' | 'discover' | mixes
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Plays int64 `json:"plays"` // plays launched from this surface
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Skips int64 `json:"skips"` // of those, marked skipped
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SkipRate float64 `json:"skip_rate"` // skips / plays, [0,1]
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AvgCompletion float64 `json:"avg_completion"` // mean completion ratio, [0,1]
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}
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type recommendationMetricsResp struct {
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WindowDays int `json:"window_days"`
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Sources []recommendationMetric `json:"sources"`
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}
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// handleGetRecommendationMetrics implements GET /api/me/recommendation-metrics.
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// Per-source play outcomes (plays / skips / skip-rate / avg-completion) for the
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// caller over the last `days` (default 30, capped at 365), so the operator can
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// see which recommendation surfaces are landing and tune the taste weights.
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// Only plays tagged with a system-playlist source count; library/radio plays
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// (no source) are excluded.
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func (h *handlers) handleGetRecommendationMetrics(w http.ResponseWriter, r *http.Request) {
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caller, ok := requireUser(w, r)
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if !ok {
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return
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}
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days, ok := parseMetricsDays(w, r)
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if !ok {
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return
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}
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rows, err := dbq.New(h.pool).RecommendationSourceMetricsForUser(r.Context(),
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dbq.RecommendationSourceMetricsForUserParams{UserID: caller.ID, Column2: float64(days)})
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if err != nil {
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h.logger.Error("api: recommendation metrics", "err", err)
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writeErr(w, apierror.InternalMsg("lookup failed", err))
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return
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}
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out := recommendationMetricsResp{
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WindowDays: days,
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Sources: make([]recommendationMetric, 0, len(rows)),
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}
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for _, row := range rows {
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source := ""
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if row.Source != nil {
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source = *row.Source
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}
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var skipRate float64
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if row.Plays > 0 {
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skipRate = float64(row.Skips) / float64(row.Plays)
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}
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out.Sources = append(out.Sources, recommendationMetric{
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Source: source,
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Plays: row.Plays,
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Skips: row.Skips,
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SkipRate: skipRate,
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AvgCompletion: row.AvgCompletion,
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})
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}
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writeJSON(w, http.StatusOK, out)
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}
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// parseMetricsDays reads the `days` query param (default 30, capped at 365).
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// Writes a 400 and returns ok=false on a malformed value.
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func parseMetricsDays(w http.ResponseWriter, r *http.Request) (int, bool) {
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v := r.URL.Query().Get("days")
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if v == "" {
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return recMetricsDefaultDays, true
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}
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n, err := strconv.Atoi(v)
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if err != nil || n < 1 {
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writeErr(w, apierror.BadRequest("bad_request", "invalid days"))
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return 0, false
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}
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if n > recMetricsMaxDays {
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n = recMetricsMaxDays
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}
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return n, true
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}
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@@ -0,0 +1,108 @@
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package api
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import (
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"context"
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"encoding/json"
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"net/http"
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"net/http/httptest"
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"os"
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"testing"
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"time"
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"github.com/go-chi/chi/v5"
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"github.com/jackc/pgx/v5/pgtype"
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)
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func newMetricsRouter(h *handlers) chi.Router {
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r := chi.NewRouter()
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r.Get("/api/me/recommendation-metrics", h.handleGetRecommendationMetrics)
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return r
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}
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// seedSourcedPlay inserts a play_event with an explicit source + completion +
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// skip flag. A nil source inserts NULL (library/radio play).
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func seedSourcedPlay(
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t *testing.T, h *handlers, userID, trackID, sessionID pgtype.UUID,
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source *string, completion float64, skipped bool,
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) {
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t.Helper()
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if _, err := h.pool.Exec(context.Background(),
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`INSERT INTO play_events
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(user_id, track_id, session_id, started_at, source, completion_ratio, was_skipped)
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VALUES ($1, $2, $3, now(), $4, $5, $6)`,
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userID, trackID, sessionID, source, completion, skipped); err != nil {
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t.Fatalf("seed sourced play: %v", err)
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}
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}
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func TestRecommendationMetrics_NoSession401(t *testing.T) {
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h, _ := testHandlers(t)
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req := httptest.NewRequest(http.MethodGet, "/api/me/recommendation-metrics", nil)
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rec := httptest.NewRecorder()
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newMetricsRouter(h).ServeHTTP(rec, req)
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if rec.Code != http.StatusUnauthorized {
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t.Errorf("status = %d, want 401", rec.Code)
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}
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}
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func TestRecommendationMetrics_AggregatesBySourceExcludingNull(t *testing.T) {
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if os.Getenv("MINSTREL_TEST_DATABASE_URL") == "" {
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t.Skip("MINSTREL_TEST_DATABASE_URL not set")
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}
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h, pool := testHandlers(t)
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user := seedUser(t, pool, "metrics", "pw", false)
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artist := seedArtist(t, pool, "MetricArtist")
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album := seedAlbum(t, pool, artist.ID, "MetricAlbum", 2020)
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tk := seedTrack(t, pool, album.ID, artist.ID, "MetricTrack", 1, 200000)
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session := seedPlaySession(t, pool, user.ID, time.Now())
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forYou := "for_you"
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discover := "discover"
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// for_you: 3 plays, 1 skipped; completions 1.0, 0.95, 0.05 → mean 0.6667.
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seedSourcedPlay(t, h, user.ID, tk.ID, session, &forYou, 1.0, false)
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seedSourcedPlay(t, h, user.ID, tk.ID, session, &forYou, 0.95, false)
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seedSourcedPlay(t, h, user.ID, tk.ID, session, &forYou, 0.05, true)
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// discover: 1 play.
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seedSourcedPlay(t, h, user.ID, tk.ID, session, &discover, 0.8, false)
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// library play (NULL source) — must be excluded.
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seedSourcedPlay(t, h, user.ID, tk.ID, session, nil, 1.0, false)
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req := httptest.NewRequest(http.MethodGet, "/api/me/recommendation-metrics", nil)
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req = withUser(req, user)
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rec := httptest.NewRecorder()
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newMetricsRouter(h).ServeHTTP(rec, req)
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if rec.Code != http.StatusOK {
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t.Fatalf("status = %d, want 200", rec.Code)
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}
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var resp recommendationMetricsResp
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if err := json.Unmarshal(rec.Body.Bytes(), &resp); err != nil {
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t.Fatalf("decode: %v", err)
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}
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if resp.WindowDays != recMetricsDefaultDays {
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t.Errorf("window_days = %d, want %d", resp.WindowDays, recMetricsDefaultDays)
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}
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bySource := map[string]recommendationMetric{}
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for _, m := range resp.Sources {
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bySource[m.Source] = m
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}
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if _, present := bySource[""]; present {
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t.Error("NULL-source (library) plays should be excluded")
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}
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fy, ok := bySource["for_you"]
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if !ok {
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t.Fatal("for_you metrics missing")
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}
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if fy.Plays != 3 || fy.Skips != 1 {
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t.Errorf("for_you plays/skips = %d/%d, want 3/1", fy.Plays, fy.Skips)
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}
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if fy.SkipRate < 0.32 || fy.SkipRate > 0.34 {
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t.Errorf("for_you skip_rate = %.3f, want ~0.333", fy.SkipRate)
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}
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if fy.AvgCompletion < 0.66 || fy.AvgCompletion > 0.67 {
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t.Errorf("for_you avg_completion = %.4f, want ~0.6667", fy.AvgCompletion)
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}
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if d, ok := bySource["discover"]; !ok || d.Plays != 1 || d.Skips != 0 {
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t.Errorf("discover metrics = %+v, want plays=1 skips=0", d)
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}
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}
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@@ -0,0 +1,73 @@
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// Code generated by sqlc. DO NOT EDIT.
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// versions:
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// sqlc v1.31.1
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// source: recommendation_metrics.sql
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package dbq
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import (
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"context"
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"github.com/jackc/pgx/v5/pgtype"
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)
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const recommendationSourceMetricsForUser = `-- name: RecommendationSourceMetricsForUser :many
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SELECT
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pe.source,
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count(*)::bigint AS plays,
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count(*) FILTER (WHERE pe.was_skipped)::bigint AS skips,
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COALESCE(
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avg(pe.completion_ratio) FILTER (WHERE pe.completion_ratio IS NOT NULL),
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0)::float8 AS avg_completion
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FROM play_events pe
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WHERE pe.user_id = $1
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AND pe.source IS NOT NULL
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AND pe.started_at > now() - ($2::float8 * INTERVAL '1 day')
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GROUP BY pe.source
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ORDER BY plays DESC
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`
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type RecommendationSourceMetricsForUserParams struct {
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UserID pgtype.UUID
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Column2 float64
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}
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type RecommendationSourceMetricsForUserRow struct {
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Source *string
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Plays int64
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Skips int64
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AvgCompletion float64
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}
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// Recommendation observability (#796 phase 4). Per-source play outcomes so the
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// operator can see whether each recommendation surface is landing and tune the
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// taste weights. Source is stamped on play_events when a play is launched from
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// a system-playlist surface ('for_you' | 'discover' | the discovery mixes);
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// NULL for library / radio / user-playlist plays, which are excluded here.
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// $1 user_id, $2 window_days. plays/skips are counts; avg_completion is the
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// mean completion ratio over plays that recorded one (0 when none did).
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func (q *Queries) RecommendationSourceMetricsForUser(ctx context.Context, arg RecommendationSourceMetricsForUserParams) ([]RecommendationSourceMetricsForUserRow, error) {
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rows, err := q.db.Query(ctx, recommendationSourceMetricsForUser, arg.UserID, arg.Column2)
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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var items []RecommendationSourceMetricsForUserRow
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for rows.Next() {
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var i RecommendationSourceMetricsForUserRow
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if err := rows.Scan(
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&i.Source,
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&i.Plays,
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&i.Skips,
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&i.AvgCompletion,
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); err != nil {
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return nil, err
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}
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items = append(items, i)
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}
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if err := rows.Err(); err != nil {
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return nil, err
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}
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return items, nil
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}
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@@ -0,0 +1,22 @@
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-- Recommendation observability (#796 phase 4). Per-source play outcomes so the
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-- operator can see whether each recommendation surface is landing and tune the
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-- taste weights. Source is stamped on play_events when a play is launched from
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-- a system-playlist surface ('for_you' | 'discover' | the discovery mixes);
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-- NULL for library / radio / user-playlist plays, which are excluded here.
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-- name: RecommendationSourceMetricsForUser :many
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-- $1 user_id, $2 window_days. plays/skips are counts; avg_completion is the
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-- mean completion ratio over plays that recorded one (0 when none did).
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SELECT
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pe.source,
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count(*)::bigint AS plays,
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count(*) FILTER (WHERE pe.was_skipped)::bigint AS skips,
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COALESCE(
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avg(pe.completion_ratio) FILTER (WHERE pe.completion_ratio IS NOT NULL),
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0)::float8 AS avg_completion
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FROM play_events pe
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WHERE pe.user_id = $1
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AND pe.source IS NOT NULL
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AND pe.started_at > now() - ($2::float8 * INTERVAL '1 day')
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GROUP BY pe.source
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ORDER BY plays DESC;
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