feat(tuning): scoring weights → DB-backed admin tuning lab
The recommendation scoring knobs move out of YAML (radio profile) and out of the systemMixWeights hard-code (daily_mix profile) into DB-backed settings with live effect (#1250) — the defaults-discovery lab per decision #1247: the operator turns knobs to find good values, which then get baked back into shipped defaults; end users and other operators should never need the card. - Migration 0040: recommendation_weight_profiles (radio / daily_mix, 8 weight columns), taste_tuning singleton (engagement half-life + completion-curve points), recommendation_tuning_audit (one row per change with a {field, old, new} diff — the trend view's markers, #1251). - internal/recsettings: boot reconcile seeds shipped defaults without clobbering tuned rows (coverart SettingsService pattern), validates patches (bounds, curve ordering), writes audit rows, and pushes daily_mix weights + taste config into package playlists. No-op patches write no audit row. - playlists gains SetSystemMixWeights / SetTasteConfig swap points under a RWMutex — no signature threading through the producers; the scheduler's taste rebuild reads the pushed config. - Radio reads its weight profile from the service per request; the 8 weight fields leave config.RecommendationConfig (YAML keeps only RecentlyPlayedHours / RadioSize / RadioSizeMax). - Admin API: GET/PATCH/reset under /api/admin/recommendation-tuning, echoing current + shipped values. - Web: new admin Tuning tab — two weight profiles side by side, taste card, per-scope save (changed fields only) + reset, deviation dots against shipped defaults. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01TsF3cNoKrqCYsU78cXC8U6
This commit is contained in:
@@ -437,6 +437,27 @@ type PlaylistTrack struct {
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PickKind *string
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}
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type RecommendationTuningAudit struct {
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ID int64
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ChangedAt pgtype.Timestamptz
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Scope string
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Action string
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Changes []byte
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}
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type RecommendationWeightProfile struct {
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Profile string
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BaseWeight float64
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LikeBoost float64
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RecencyWeight float64
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SkipPenalty float64
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JitterMagnitude float64
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ContextWeight float64
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SimilarityWeight float64
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TasteWeight float64
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UpdatedAt pgtype.Timestamptz
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}
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type RegistrationSetting struct {
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ID bool
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Mode string
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@@ -525,6 +546,15 @@ type TasteProfileTag struct {
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UpdatedAt pgtype.Timestamptz
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}
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type TasteTuning struct {
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Singleton bool
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HalfLifeDays float64
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EngagementHardSkip float64
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EngagementNeutral float64
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EngagementFull float64
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UpdatedAt pgtype.Timestamptz
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}
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type Track struct {
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ID pgtype.UUID
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Title string
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@@ -0,0 +1,272 @@
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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_tuning.sql
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package dbq
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import (
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"context"
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)
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const getTasteTuning = `-- name: GetTasteTuning :one
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SELECT singleton, half_life_days, engagement_hard_skip, engagement_neutral, engagement_full, updated_at FROM taste_tuning WHERE singleton = true
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`
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func (q *Queries) GetTasteTuning(ctx context.Context) (TasteTuning, error) {
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row := q.db.QueryRow(ctx, getTasteTuning)
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var i TasteTuning
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err := row.Scan(
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&i.Singleton,
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&i.HalfLifeDays,
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&i.EngagementHardSkip,
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&i.EngagementNeutral,
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&i.EngagementFull,
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&i.UpdatedAt,
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)
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return i, err
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}
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const insertTuningAudit = `-- name: InsertTuningAudit :exec
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INSERT INTO recommendation_tuning_audit (scope, action, changes)
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VALUES ($1, $2, $3)
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`
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type InsertTuningAuditParams struct {
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Scope string
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Action string
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Changes []byte
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}
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// changes is a jsonb array of {field, old, new} objects.
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func (q *Queries) InsertTuningAudit(ctx context.Context, arg InsertTuningAuditParams) error {
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_, err := q.db.Exec(ctx, insertTuningAudit, arg.Scope, arg.Action, arg.Changes)
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return err
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}
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const listTuningAudit = `-- name: ListTuningAudit :many
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SELECT id, changed_at, scope, action, changes
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FROM recommendation_tuning_audit
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ORDER BY changed_at DESC, id DESC
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LIMIT $1
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`
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// Newest first; consumed by the metrics trend view (#1251) to annotate
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// knob turns on the timeline.
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func (q *Queries) ListTuningAudit(ctx context.Context, limit int32) ([]RecommendationTuningAudit, error) {
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rows, err := q.db.Query(ctx, listTuningAudit, limit)
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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 []RecommendationTuningAudit
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for rows.Next() {
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var i RecommendationTuningAudit
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if err := rows.Scan(
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&i.ID,
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&i.ChangedAt,
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&i.Scope,
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&i.Action,
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&i.Changes,
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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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const listWeightProfiles = `-- name: ListWeightProfiles :many
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SELECT profile, base_weight, like_boost, recency_weight, skip_penalty, jitter_magnitude, context_weight, similarity_weight, taste_weight, updated_at FROM recommendation_weight_profiles ORDER BY profile
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`
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func (q *Queries) ListWeightProfiles(ctx context.Context) ([]RecommendationWeightProfile, error) {
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rows, err := q.db.Query(ctx, listWeightProfiles)
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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 []RecommendationWeightProfile
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for rows.Next() {
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var i RecommendationWeightProfile
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if err := rows.Scan(
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&i.Profile,
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&i.BaseWeight,
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&i.LikeBoost,
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&i.RecencyWeight,
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&i.SkipPenalty,
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&i.JitterMagnitude,
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&i.ContextWeight,
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&i.SimilarityWeight,
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&i.TasteWeight,
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&i.UpdatedAt,
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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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const updateTasteTuning = `-- name: UpdateTasteTuning :one
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UPDATE taste_tuning
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SET half_life_days = $1,
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engagement_hard_skip = $2,
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engagement_neutral = $3,
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engagement_full = $4,
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updated_at = now()
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WHERE singleton = true
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RETURNING singleton, half_life_days, engagement_hard_skip, engagement_neutral, engagement_full, updated_at
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`
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type UpdateTasteTuningParams struct {
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HalfLifeDays float64
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EngagementHardSkip float64
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EngagementNeutral float64
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EngagementFull float64
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}
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func (q *Queries) UpdateTasteTuning(ctx context.Context, arg UpdateTasteTuningParams) (TasteTuning, error) {
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row := q.db.QueryRow(ctx, updateTasteTuning,
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arg.HalfLifeDays,
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arg.EngagementHardSkip,
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arg.EngagementNeutral,
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arg.EngagementFull,
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)
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var i TasteTuning
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err := row.Scan(
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&i.Singleton,
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&i.HalfLifeDays,
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&i.EngagementHardSkip,
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&i.EngagementNeutral,
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&i.EngagementFull,
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&i.UpdatedAt,
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)
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return i, err
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}
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const updateWeightProfile = `-- name: UpdateWeightProfile :one
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UPDATE recommendation_weight_profiles
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SET base_weight = $2,
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like_boost = $3,
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recency_weight = $4,
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skip_penalty = $5,
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jitter_magnitude = $6,
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context_weight = $7,
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similarity_weight = $8,
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taste_weight = $9,
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updated_at = now()
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WHERE profile = $1
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RETURNING profile, base_weight, like_boost, recency_weight, skip_penalty, jitter_magnitude, context_weight, similarity_weight, taste_weight, updated_at
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`
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type UpdateWeightProfileParams struct {
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Profile string
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BaseWeight float64
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LikeBoost float64
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RecencyWeight float64
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SkipPenalty float64
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JitterMagnitude float64
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ContextWeight float64
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SimilarityWeight float64
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TasteWeight float64
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}
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func (q *Queries) UpdateWeightProfile(ctx context.Context, arg UpdateWeightProfileParams) (RecommendationWeightProfile, error) {
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row := q.db.QueryRow(ctx, updateWeightProfile,
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arg.Profile,
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arg.BaseWeight,
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arg.LikeBoost,
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arg.RecencyWeight,
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arg.SkipPenalty,
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arg.JitterMagnitude,
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arg.ContextWeight,
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arg.SimilarityWeight,
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arg.TasteWeight,
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)
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var i RecommendationWeightProfile
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err := row.Scan(
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&i.Profile,
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&i.BaseWeight,
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&i.LikeBoost,
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&i.RecencyWeight,
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&i.SkipPenalty,
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&i.JitterMagnitude,
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&i.ContextWeight,
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&i.SimilarityWeight,
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&i.TasteWeight,
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&i.UpdatedAt,
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)
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return i, err
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}
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const upsertTasteTuningDefaults = `-- name: UpsertTasteTuningDefaults :exec
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INSERT INTO taste_tuning (
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singleton, half_life_days, engagement_hard_skip,
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engagement_neutral, engagement_full
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) VALUES (true, $1, $2, $3, $4)
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ON CONFLICT (singleton) DO NOTHING
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`
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type UpsertTasteTuningDefaultsParams struct {
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HalfLifeDays float64
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EngagementHardSkip float64
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EngagementNeutral float64
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EngagementFull float64
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}
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func (q *Queries) UpsertTasteTuningDefaults(ctx context.Context, arg UpsertTasteTuningDefaultsParams) error {
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_, err := q.db.Exec(ctx, upsertTasteTuningDefaults,
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arg.HalfLifeDays,
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arg.EngagementHardSkip,
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arg.EngagementNeutral,
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arg.EngagementFull,
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)
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return err
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}
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const upsertWeightProfileDefaults = `-- name: UpsertWeightProfileDefaults :exec
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INSERT INTO recommendation_weight_profiles (
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profile, base_weight, like_boost, recency_weight, skip_penalty,
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jitter_magnitude, context_weight, similarity_weight, taste_weight
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) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9)
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ON CONFLICT (profile) DO NOTHING
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`
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type UpsertWeightProfileDefaultsParams struct {
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Profile string
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BaseWeight float64
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LikeBoost float64
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RecencyWeight float64
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SkipPenalty float64
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JitterMagnitude float64
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ContextWeight float64
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SimilarityWeight float64
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TasteWeight float64
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}
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// Recommendation tuning lab queries (#1250). Seeding happens via the
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// recsettings boot reconcile; shipped defaults live in Go only.
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// Boot reconcile: insert the shipped defaults for a profile if the row
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// doesn't exist yet. Never overwrites operator-tuned values.
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func (q *Queries) UpsertWeightProfileDefaults(ctx context.Context, arg UpsertWeightProfileDefaultsParams) error {
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_, err := q.db.Exec(ctx, upsertWeightProfileDefaults,
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arg.Profile,
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arg.BaseWeight,
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arg.LikeBoost,
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arg.RecencyWeight,
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arg.SkipPenalty,
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arg.JitterMagnitude,
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arg.ContextWeight,
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arg.SimilarityWeight,
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arg.TasteWeight,
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)
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return err
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}
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@@ -0,0 +1,3 @@
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DROP TABLE recommendation_tuning_audit;
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DROP TABLE taste_tuning;
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DROP TABLE recommendation_weight_profiles;
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@@ -0,0 +1,57 @@
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-- Recommendation tuning lab (milestone #127, Scribe #1250).
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--
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-- The scoring weights move out of YAML (radio profile) and out of the
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-- systemMixWeights hard-code (daily_mix profile) into DB-backed
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-- settings with live effect — the defaults-discovery lab (decision
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-- #1247): the operator turns knobs here to FIND good values, which
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-- then get baked into shipped defaults; end users and other operators
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-- should never need this card.
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--
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-- Rows are seeded by the recsettings service's boot reconcile (the
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-- coverart SettingsService pattern), not by this migration, so shipped
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-- defaults live in exactly one place (Go).
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CREATE TABLE recommendation_weight_profiles (
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profile text PRIMARY KEY
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CONSTRAINT recommendation_weight_profiles_profile_check
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CHECK (profile IN ('radio', 'daily_mix')),
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base_weight double precision NOT NULL,
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like_boost double precision NOT NULL,
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recency_weight double precision NOT NULL,
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skip_penalty double precision NOT NULL,
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jitter_magnitude double precision NOT NULL,
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context_weight double precision NOT NULL,
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similarity_weight double precision NOT NULL,
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taste_weight double precision NOT NULL,
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updated_at timestamptz NOT NULL DEFAULT now()
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);
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-- Taste-profile build knobs: engagement half-life + the completion→
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-- engagement curve points (taste.Config's tunable subset).
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CREATE TABLE taste_tuning (
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singleton boolean PRIMARY KEY DEFAULT true
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CONSTRAINT taste_tuning_singleton_check CHECK (singleton),
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half_life_days double precision NOT NULL,
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engagement_hard_skip double precision NOT NULL,
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engagement_neutral double precision NOT NULL,
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engagement_full double precision NOT NULL,
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updated_at timestamptz NOT NULL DEFAULT now()
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);
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-- Every knob turn writes one audit row; the metrics trend view
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-- (#1251) annotates these on its timeline so cause→effect is visible
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-- after a change. changes is a jsonb array of {field, old, new}.
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CREATE TABLE recommendation_tuning_audit (
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id bigserial PRIMARY KEY,
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changed_at timestamptz NOT NULL DEFAULT now(),
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scope text NOT NULL
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CONSTRAINT recommendation_tuning_audit_scope_check
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CHECK (scope IN ('radio', 'daily_mix', 'taste')),
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action text NOT NULL
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CONSTRAINT recommendation_tuning_audit_action_check
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CHECK (action IN ('update', 'reset')),
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changes jsonb NOT NULL
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);
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CREATE INDEX recommendation_tuning_audit_changed_at_idx
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ON recommendation_tuning_audit (changed_at DESC);
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@@ -0,0 +1,61 @@
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-- Recommendation tuning lab queries (#1250). Seeding happens via the
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-- recsettings boot reconcile; shipped defaults live in Go only.
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-- name: UpsertWeightProfileDefaults :exec
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-- Boot reconcile: insert the shipped defaults for a profile if the row
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-- doesn't exist yet. Never overwrites operator-tuned values.
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INSERT INTO recommendation_weight_profiles (
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profile, base_weight, like_boost, recency_weight, skip_penalty,
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jitter_magnitude, context_weight, similarity_weight, taste_weight
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) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9)
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ON CONFLICT (profile) DO NOTHING;
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-- name: ListWeightProfiles :many
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SELECT * FROM recommendation_weight_profiles ORDER BY profile;
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-- name: UpdateWeightProfile :one
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UPDATE recommendation_weight_profiles
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SET base_weight = $2,
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like_boost = $3,
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recency_weight = $4,
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skip_penalty = $5,
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jitter_magnitude = $6,
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context_weight = $7,
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similarity_weight = $8,
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taste_weight = $9,
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updated_at = now()
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WHERE profile = $1
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RETURNING *;
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-- name: UpsertTasteTuningDefaults :exec
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INSERT INTO taste_tuning (
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singleton, half_life_days, engagement_hard_skip,
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engagement_neutral, engagement_full
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) VALUES (true, $1, $2, $3, $4)
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ON CONFLICT (singleton) DO NOTHING;
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-- name: GetTasteTuning :one
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SELECT * FROM taste_tuning WHERE singleton = true;
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|
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-- name: UpdateTasteTuning :one
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UPDATE taste_tuning
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SET half_life_days = $1,
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engagement_hard_skip = $2,
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engagement_neutral = $3,
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engagement_full = $4,
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updated_at = now()
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WHERE singleton = true
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RETURNING *;
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|
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-- name: InsertTuningAudit :exec
|
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-- changes is a jsonb array of {field, old, new} objects.
|
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INSERT INTO recommendation_tuning_audit (scope, action, changes)
|
||||
VALUES ($1, $2, $3);
|
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|
||||
-- name: ListTuningAudit :many
|
||||
-- Newest first; consumed by the metrics trend view (#1251) to annotate
|
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-- knob turns on the timeline.
|
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SELECT id, changed_at, scope, action, changes
|
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FROM recommendation_tuning_audit
|
||||
ORDER BY changed_at DESC, id DESC
|
||||
LIMIT $1;
|
||||
Reference in New Issue
Block a user