fdd14ef04c
Surface in-library albums/artists the listener doesn't actively spin but is predicted to enjoy, derived from the same similarity + like-weighted candidate engine that powers For-You — rolled up from track scores to album/artist granularity. Built in the daily 3am BuildSystemPlaylists pass, atomic-replaced alongside the system playlists, and read back by /api/home (+ /api/home/index). Cold-start gate: skips generation entirely below 20 distinct unskipped tracks AND 5 distinct artists, so a thin profile ships empty rows rather than near-random tiles. - migration 0034: you_might_like_albums / you_might_like_artists (id+rank, CASCADE, per-user rank index). - playlists/you_might_like.go: cold-start gate + similarity roll-up (sum-of-top-3 aggregation, per-artist album cap, daily-rotating via the same userIDHash jitter as For-You) + atomic-replace persist in the tx. - recommendation/home.go: two new HomePayload sections with read-time cross-section dedup vs Most Played / Rediscover / Last Played, trimmed to 10 each. - api: you_might_like_albums / you_might_like_artists on /api/home and /api/home/index, reusing albumRefFrom / artistRefFromCovered. - tests: pure roll-up/aggregation/cap unit tests + DB-backed gate, sufficiency, and atomic-replace tests (all green vs real Postgres). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
218 lines
6.8 KiB
Go
218 lines
6.8 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: you_might_like.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 countListeningSignalForUser = `-- name: CountListeningSignalForUser :one
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SELECT
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count(DISTINCT pe.track_id)::bigint AS distinct_tracks,
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count(DISTINCT t.artist_id)::bigint AS distinct_artists
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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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`
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type CountListeningSignalForUserRow struct {
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DistinctTracks int64
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DistinctArtists int64
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}
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// "You might like" Home rows (#790). The daily build computes ranked
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// album/artist IDs in Go (similarity roll-up + cold-start gate) and
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// atomic-replaces them here; /api/home reads them back hydrated.
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// Cold-start gate. Returns the breadth of the user's real listening:
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// distinct unskipped tracks played and distinct artists played. The
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// build skips You-might-like entirely below a threshold (a thin history
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// yields near-random roll-ups). was_skipped=false so a user spamming
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// next can't inflate the signal.
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func (q *Queries) CountListeningSignalForUser(ctx context.Context, userID pgtype.UUID) (CountListeningSignalForUserRow, error) {
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row := q.db.QueryRow(ctx, countListeningSignalForUser, userID)
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var i CountListeningSignalForUserRow
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err := row.Scan(&i.DistinctTracks, &i.DistinctArtists)
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return i, err
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}
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const deleteYouMightLikeAlbumsForUser = `-- name: DeleteYouMightLikeAlbumsForUser :exec
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DELETE FROM you_might_like_albums WHERE user_id = $1
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`
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func (q *Queries) DeleteYouMightLikeAlbumsForUser(ctx context.Context, userID pgtype.UUID) error {
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_, err := q.db.Exec(ctx, deleteYouMightLikeAlbumsForUser, userID)
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return err
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}
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const deleteYouMightLikeArtistsForUser = `-- name: DeleteYouMightLikeArtistsForUser :exec
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DELETE FROM you_might_like_artists WHERE user_id = $1
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`
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func (q *Queries) DeleteYouMightLikeArtistsForUser(ctx context.Context, userID pgtype.UUID) error {
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_, err := q.db.Exec(ctx, deleteYouMightLikeArtistsForUser, userID)
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return err
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}
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const insertYouMightLikeAlbum = `-- name: InsertYouMightLikeAlbum :exec
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INSERT INTO you_might_like_albums (user_id, album_id, rank)
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VALUES ($1, $2, $3)
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`
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type InsertYouMightLikeAlbumParams struct {
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UserID pgtype.UUID
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AlbumID pgtype.UUID
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Rank int32
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}
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func (q *Queries) InsertYouMightLikeAlbum(ctx context.Context, arg InsertYouMightLikeAlbumParams) error {
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_, err := q.db.Exec(ctx, insertYouMightLikeAlbum, arg.UserID, arg.AlbumID, arg.Rank)
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return err
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}
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const insertYouMightLikeArtist = `-- name: InsertYouMightLikeArtist :exec
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INSERT INTO you_might_like_artists (user_id, artist_id, rank)
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VALUES ($1, $2, $3)
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`
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type InsertYouMightLikeArtistParams struct {
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UserID pgtype.UUID
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ArtistID pgtype.UUID
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Rank int32
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}
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func (q *Queries) InsertYouMightLikeArtist(ctx context.Context, arg InsertYouMightLikeArtistParams) error {
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_, err := q.db.Exec(ctx, insertYouMightLikeArtist, arg.UserID, arg.ArtistID, arg.Rank)
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return err
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}
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const listYouMightLikeAlbumsForUser = `-- name: ListYouMightLikeAlbumsForUser :many
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SELECT albums.id, albums.title, albums.sort_title, albums.artist_id, albums.release_date, albums.mbid, albums.cover_art_path, albums.created_at, albums.updated_at, albums.cover_art_source, albums.cover_art_sources_version, artists.name AS artist_name
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FROM you_might_like_albums yml
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JOIN albums ON albums.id = yml.album_id
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JOIN artists ON artists.id = albums.artist_id
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WHERE yml.user_id = $1
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ORDER BY yml.rank
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LIMIT $2
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`
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type ListYouMightLikeAlbumsForUserParams struct {
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UserID pgtype.UUID
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Limit int32
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}
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type ListYouMightLikeAlbumsForUserRow struct {
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Album Album
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ArtistName string
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}
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// Read path. Same projection as ListRediscoverAlbumsForUser so the API
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// layer reuses albumRefFrom(row.Album, row.ArtistName, …). Ordered by
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// the rank persisted at build time. Final cross-section dedup (vs Most
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// Played / Rediscover) and the output cap land in the Go layer
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// (internal/recommendation/home.go).
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func (q *Queries) ListYouMightLikeAlbumsForUser(ctx context.Context, arg ListYouMightLikeAlbumsForUserParams) ([]ListYouMightLikeAlbumsForUserRow, error) {
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rows, err := q.db.Query(ctx, listYouMightLikeAlbumsForUser, arg.UserID, arg.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 []ListYouMightLikeAlbumsForUserRow
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for rows.Next() {
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var i ListYouMightLikeAlbumsForUserRow
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if err := rows.Scan(
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&i.Album.ID,
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&i.Album.Title,
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&i.Album.SortTitle,
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&i.Album.ArtistID,
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&i.Album.ReleaseDate,
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&i.Album.Mbid,
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&i.Album.CoverArtPath,
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&i.Album.CreatedAt,
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&i.Album.UpdatedAt,
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&i.Album.CoverArtSource,
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&i.Album.CoverArtSourcesVersion,
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&i.ArtistName,
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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 listYouMightLikeArtistsForUser = `-- name: ListYouMightLikeArtistsForUser :many
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SELECT artists.id, artists.name, artists.sort_name, artists.mbid, artists.created_at, artists.updated_at, artists.artist_thumb_path, artists.artist_fanart_path, artists.artist_art_source, artists.artist_art_sources_version,
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cov.id AS cover_album_id,
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cnt.album_count::bigint AS album_count
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FROM you_might_like_artists yml
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JOIN artists ON artists.id = yml.artist_id
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LEFT JOIN LATERAL (
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SELECT id FROM albums
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WHERE artist_id = artists.id AND cover_art_path IS NOT NULL
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ORDER BY created_at DESC LIMIT 1
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) cov ON true
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LEFT JOIN LATERAL (
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SELECT count(*) AS album_count
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FROM albums WHERE artist_id = artists.id
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) cnt ON true
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WHERE yml.user_id = $1
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ORDER BY yml.rank
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LIMIT $2
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`
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type ListYouMightLikeArtistsForUserParams struct {
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UserID pgtype.UUID
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Limit int32
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}
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type ListYouMightLikeArtistsForUserRow struct {
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Artist Artist
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CoverAlbumID pgtype.UUID
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AlbumCount int64
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}
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// Read path. Same projection as ListRediscoverArtistsForUser (embeds the
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// artist + a representative cover_album_id + album_count) so the API
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// layer reuses artistRefFromCovered. Ordered by persisted rank.
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func (q *Queries) ListYouMightLikeArtistsForUser(ctx context.Context, arg ListYouMightLikeArtistsForUserParams) ([]ListYouMightLikeArtistsForUserRow, error) {
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rows, err := q.db.Query(ctx, listYouMightLikeArtistsForUser, arg.UserID, arg.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 []ListYouMightLikeArtistsForUserRow
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for rows.Next() {
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var i ListYouMightLikeArtistsForUserRow
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if err := rows.Scan(
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&i.Artist.ID,
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&i.Artist.Name,
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&i.Artist.SortName,
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&i.Artist.Mbid,
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&i.Artist.CreatedAt,
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&i.Artist.UpdatedAt,
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&i.Artist.ArtistThumbPath,
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&i.Artist.ArtistFanartPath,
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&i.Artist.ArtistArtSource,
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&i.Artist.ArtistArtSourcesVersion,
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&i.CoverAlbumID,
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&i.AlbumCount,
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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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