f0c08e7326
Milestone #160 Opt 2b (mood half of the era+mood option). A fourth taste facet alongside artists + genre tags + eras: signed weights over canonical mood buckets (melancholic / energetic / chill / …) derived from a track's enriched folksonomy tags (#1490). - internal/mood: shared vocabulary — Of(tags) maps folksonomy tags to canonical mood buckets (synonyms collapse). Imported by both the taste builder and the scorer so a track's mood is derived identically. - Migration 0047: taste_profile_moods table + taste_tuning.mood_scale (DEFAULT 0.5). - Build side (internal/taste): Config.MoodScale ([0,1] damper, mirrors EraScale); accumulate folds each play/like's mood buckets at base*MoodScale; persist atomic-replaces the mood rows. - Scorer (internal/recommendation): TasteProfile gains a mood term (own tanh scale + additive 0.12 share, so it never weakens the existing signal when a track has no mood tags). Match now takes the candidate's mood buckets; loaded per candidate (ListTrackTagsForTracks → mood.Of) in the primary similarity loader only — the near-whole-library fallback pool passes nil (mood → 0) to avoid a full-library tag scan. - Tuning lab: mood_scale threaded through recsettings + admin API + web card ("Mood weight" row) + Go/web tests. Coverage is partial (grows with tag enrichment; richer once Last.fm is keyed), so mood is a supplement — neutral for tracks with no mood tags. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
303 lines
8.0 KiB
Go
303 lines
8.0 KiB
Go
// 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, enriched_tag_scale, era_scale, mood_scale 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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&i.EnrichedTagScale,
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&i.EraScale,
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&i.MoodScale,
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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, context_time_weight 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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&i.ContextTimeWeight,
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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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enriched_tag_scale = $5,
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era_scale = $6,
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mood_scale = $7,
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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, enriched_tag_scale, era_scale, mood_scale
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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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EnrichedTagScale float64
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EraScale float64
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MoodScale 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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arg.EnrichedTagScale,
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arg.EraScale,
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arg.MoodScale,
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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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&i.EnrichedTagScale,
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&i.EraScale,
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&i.MoodScale,
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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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context_time_weight = $10,
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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, context_time_weight
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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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ContextTimeWeight 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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arg.ContextTimeWeight,
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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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&i.ContextTimeWeight,
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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, enriched_tag_scale, era_scale,
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mood_scale
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) VALUES (true, $1, $2, $3, $4, $5, $6, $7)
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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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EnrichedTagScale float64
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EraScale float64
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MoodScale 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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arg.EnrichedTagScale,
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arg.EraScale,
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arg.MoodScale,
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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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context_time_weight
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) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
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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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ContextTimeWeight 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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arg.ContextTimeWeight,
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)
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return err
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}
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