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A new system playlist kind, genre_mix: up to 10 "{Genre} mix" playlists per
user, rebuilt daily with the other system mixes.
Which genres: library genres with at least 25 playable tracks across 3
artists, ranked in tiers — taste-profile genres first (matched
case-insensitively, so ID3 "Post-Punk" and folksonomy "post-punk" are one),
then genres the user has played or liked, then the rest of the library, which
only tops a short shelf up to 4. A genre whose artist set is a near
duplicate of one already picked (Jaccard >= 0.5) is skipped, so "Lo-Fi" and
"Lo-Fi Hip Hop" don't both appear but "Alternative Rock" survives "Rock". A
genre that can't fill 15 tracks gives way to the next.
Each mix is 50 tracks: 3 in 5 the user already knows (played through or
liked), the rest unheard in that genre, interleaved, with the usual
per-album/per-artist caps. Tracks skipped twice and more often than played
are left out. The order changes daily and holds within a day. Picks are
stamped taste / taste_unheard, and genre_mix plays count toward rotation and
the recommendation metrics.
Migration 0102 adds genre_mix to the playlists variant constraints.
Web and Android each get a "Your genres" row in name order, hidden until a
mix exists. Kinds with several playlists per user now play by playlist id
wherever the client used to test seed_artist_id (web card, detail page
self-heal), keyed on the server's refreshable flag; on Android genre_mix
joins songs_like_artist as not refreshable. The web detail page's
"mix was rebuilt" reload now finds a Songs-like or genre mix by name instead
of calling the by-kind shuffle, which those kinds don't have.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
209 lines
6.5 KiB
Go
209 lines
6.5 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: genre_mixes.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 listGenreMixCandidates = `-- name: ListGenreMixCandidates :many
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WITH library_genres AS (
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SELECT lower(trim(g.g)) AS genre_key,
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min(trim(g.g))::text AS label,
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COUNT(DISTINCT t.id) AS track_count,
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array_agg(DISTINCT t.artist_id)::uuid[] AS artist_ids
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FROM tracks t
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CROSS JOIN LATERAL regexp_split_to_table(coalesce(t.genre, ''), '[;,]') AS g(g)
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WHERE t.missing_since IS NULL
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AND trim(g.g) <> ''
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GROUP BY lower(trim(g.g))
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HAVING COUNT(DISTINCT t.id) >= 25
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AND COUNT(DISTINCT t.artist_id) >= 3
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),
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taste AS (
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SELECT lower(trim(tpt.tag)) AS genre_key, SUM(tpt.weight) AS weight
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FROM taste_profile_tags tpt
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WHERE tpt.user_id = $1
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GROUP BY lower(trim(tpt.tag))
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HAVING SUM(tpt.weight) > 0
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),
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listened AS (
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SELECT t.id
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FROM play_events pe
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JOIN tracks t ON t.id = pe.track_id
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WHERE pe.user_id = $1 AND pe.was_skipped = false
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UNION ALL
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SELECT gl.track_id
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FROM general_likes gl
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WHERE gl.user_id = $1
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),
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history AS (
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SELECT lower(trim(g.g)) AS genre_key, COUNT(*) AS plays
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FROM listened l
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JOIN tracks t ON t.id = l.id
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CROSS JOIN LATERAL regexp_split_to_table(coalesce(t.genre, ''), '[;,]') AS g(g)
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WHERE trim(g.g) <> ''
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GROUP BY lower(trim(g.g))
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)
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SELECT lg.genre_key::text AS genre_key,
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lg.label AS label,
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(CASE WHEN ta.genre_key IS NOT NULL THEN 1
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WHEN h.genre_key IS NOT NULL THEN 2
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ELSE 3 END)::int AS tier,
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(CASE WHEN ta.genre_key IS NOT NULL THEN ta.weight
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WHEN h.genre_key IS NOT NULL THEN h.plays::float8
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ELSE lg.track_count::float8 END)::float8 AS score,
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lg.artist_ids
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FROM library_genres lg
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LEFT JOIN taste ta ON ta.genre_key = lg.genre_key
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LEFT JOIN history h ON h.genre_key = lg.genre_key
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ORDER BY tier, score DESC, lg.genre_key
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LIMIT 60
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`
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type ListGenreMixCandidatesRow struct {
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GenreKey string
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Label string
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Tier int32
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Score float64
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ArtistIds []pgtype.UUID
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}
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// Candidate queries for the genre mixes: one daily system playlist per genre
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// the user listens to. Genres live inline on tracks.genre as a delimited
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// string and are split on [;,] the same way the Discover and radio tag arms
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// split them. Matching is case-insensitive, so the ID3 "Post-Punk" and the
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// folksonomy "post-punk" in the taste profile count as one genre.
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// Library genres big enough to carry a mix (>= 25 playable tracks across
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// >= 3 artists), each tagged with how close it is to the user's listening:
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//
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// tier 1: a positive taste-profile genre, scored by its taste weight
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// tier 2: a genre of tracks the user has played through or liked, scored
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// by how many — catches a profile that has not been built yet or
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// has decayed past its window
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// tier 3: any other library genre, scored by its size
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//
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// artist_ids lets the caller skip a genre whose artists mostly repeat one
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// already picked (Indie Rock after Alternative Rock).
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// $1 user_id.
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func (q *Queries) ListGenreMixCandidates(ctx context.Context, userID pgtype.UUID) ([]ListGenreMixCandidatesRow, error) {
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rows, err := q.db.Query(ctx, listGenreMixCandidates, userID)
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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 []ListGenreMixCandidatesRow
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for rows.Next() {
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var i ListGenreMixCandidatesRow
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if err := rows.Scan(
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&i.GenreKey,
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&i.Label,
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&i.Tier,
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&i.Score,
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&i.ArtistIds,
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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 listGenreMixTracks = `-- name: ListGenreMixTracks :many
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WITH play_counts AS (
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SELECT pe.track_id, COUNT(*) AS c
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FROM play_events pe
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WHERE pe.user_id = $1 AND pe.was_skipped = false
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GROUP BY pe.track_id
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),
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skip_counts AS (
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SELECT pe.track_id, COUNT(*) AS c
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FROM play_events pe
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WHERE pe.user_id = $1 AND pe.was_skipped = true
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GROUP BY pe.track_id
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),
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eligible AS (
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SELECT t.id, t.album_id, t.artist_id,
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(COALESCE(pc.c, 0) > 0 OR gl.track_id IS NOT NULL) AS familiar,
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md5(t.id::text || $2::text) AS tiebreak
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FROM tracks t
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LEFT JOIN play_counts pc ON pc.track_id = t.id
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LEFT JOIN skip_counts sc ON sc.track_id = t.id
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LEFT JOIN general_likes gl ON gl.user_id = $1 AND gl.track_id = t.id
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WHERE t.missing_since IS NULL -- never offer a file that is gone
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AND NOT (COALESCE(sc.c, 0) >= 2 AND COALESCE(sc.c, 0) > COALESCE(pc.c, 0))
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AND EXISTS (
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SELECT 1
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FROM regexp_split_to_table(coalesce(t.genre, ''), '[;,]') AS g(g)
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WHERE lower(trim(g.g)) = $3::text
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)
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AND NOT EXISTS (
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SELECT 1 FROM quarantine q
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WHERE q.user_id = $1 AND q.track_id = t.id
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)
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),
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ranked AS (
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SELECT e.id, e.album_id, e.artist_id, e.familiar, e.tiebreak, row_number() OVER (PARTITION BY e.familiar ORDER BY e.tiebreak) AS rn
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FROM eligible e
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)
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SELECT r.id, r.album_id, r.artist_id, r.familiar::bool AS familiar
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FROM ranked r
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WHERE r.rn <= 200
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ORDER BY r.familiar DESC, r.tiebreak
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`
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type ListGenreMixTracksParams struct {
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UserID pgtype.UUID
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DateSeed string
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GenreKey string
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}
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type ListGenreMixTracksRow struct {
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ID pgtype.UUID
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AlbumID pgtype.UUID
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ArtistID pgtype.UUID
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Familiar bool
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}
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// Playable tracks carrying one genre, split into the two halves a genre mix
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// blends: familiar (the user has played it through or liked it) and unheard.
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// Up to 200 of each, each half in a daily-deterministic order so the mix
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// changes day to day and holds still within a day.
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//
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// A track the user keeps skipping stays out: twice-skipped and skipped more
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// often than played through. The second half of that test keeps a favourite
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// with a couple of stray skips in.
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func (q *Queries) ListGenreMixTracks(ctx context.Context, arg ListGenreMixTracksParams) ([]ListGenreMixTracksRow, error) {
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rows, err := q.db.Query(ctx, listGenreMixTracks, arg.UserID, arg.DateSeed, arg.GenreKey)
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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 []ListGenreMixTracksRow
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for rows.Next() {
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var i ListGenreMixTracksRow
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if err := rows.Scan(
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&i.ID,
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&i.AlbumID,
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&i.ArtistID,
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&i.Familiar,
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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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