Files
minstrel/internal/db/dbq/recommendation.sql.go
T

297 lines
8.3 KiB
Go

// Code generated by sqlc. DO NOT EDIT.
// versions:
// sqlc v1.31.1
// source: recommendation.sql
package dbq
import (
"context"
"github.com/jackc/pgx/v5/pgtype"
)
const loadRadioCandidates = `-- name: LoadRadioCandidates :many
SELECT
t.id, t.title, t.album_id, t.artist_id, t.track_number, t.disc_number, t.duration_ms, t.file_path, t.file_size, t.file_format, t.bitrate, t.mbid, t.genre, t.added_at, t.updated_at,
(l.user_id IS NOT NULL)::bool AS is_liked,
pe.last_played_at::timestamptz AS last_played_at,
pe.play_count,
pe.skip_count
FROM tracks t
LEFT JOIN general_likes l ON l.user_id = $1 AND l.track_id = t.id
LEFT JOIN LATERAL (
SELECT
max(started_at) AS last_played_at,
count(*) AS play_count,
count(*) FILTER (WHERE was_skipped) AS skip_count
FROM play_events
WHERE user_id = $1 AND track_id = t.id
) pe ON true
WHERE t.id <> $2
AND NOT EXISTS (
SELECT 1 FROM play_events
WHERE user_id = $1 AND track_id = t.id
AND started_at > now() - $3 * interval '1 hour'
)
AND NOT EXISTS (
SELECT 1 FROM lidarr_quarantine q
WHERE q.user_id = $1 AND q.track_id = t.id
)
`
type LoadRadioCandidatesParams struct {
UserID pgtype.UUID
ID pgtype.UUID
Column3 interface{}
}
type LoadRadioCandidatesRow struct {
Track Track
IsLiked bool
LastPlayedAt pgtype.Timestamptz
PlayCount int64
SkipCount int64
}
// Returns all tracks except the seed and any played by the user within
// the last $3 hours, joined with the stats needed for scoring:
//
// is_liked — boolean from general_likes for this user
// last_played_at — max(play_events.started_at) for this user/track
// play_count — count of play_events for this user/track
// skip_count — play_events where was_skipped=true
func (q *Queries) LoadRadioCandidates(ctx context.Context, arg LoadRadioCandidatesParams) ([]LoadRadioCandidatesRow, error) {
rows, err := q.db.Query(ctx, loadRadioCandidates, arg.UserID, arg.ID, arg.Column3)
if err != nil {
return nil, err
}
defer rows.Close()
var items []LoadRadioCandidatesRow
for rows.Next() {
var i LoadRadioCandidatesRow
if err := rows.Scan(
&i.Track.ID,
&i.Track.Title,
&i.Track.AlbumID,
&i.Track.ArtistID,
&i.Track.TrackNumber,
&i.Track.DiscNumber,
&i.Track.DurationMs,
&i.Track.FilePath,
&i.Track.FileSize,
&i.Track.FileFormat,
&i.Track.Bitrate,
&i.Track.Mbid,
&i.Track.Genre,
&i.Track.AddedAt,
&i.Track.UpdatedAt,
&i.IsLiked,
&i.LastPlayedAt,
&i.PlayCount,
&i.SkipCount,
); err != nil {
return nil, err
}
items = append(items, i)
}
if err := rows.Err(); err != nil {
return nil, err
}
return items, nil
}
const loadRadioCandidatesV2 = `-- name: LoadRadioCandidatesV2 :many
WITH
seed_artist AS (
SELECT artist_id
FROM tracks
WHERE tracks.id = $2
),
seed_tags AS (
SELECT trim(g) AS tag
FROM tracks t
LEFT JOIN LATERAL regexp_split_to_table(coalesce(t.genre, ''), '[;,]') AS g(tag) ON true
WHERE t.id = $2 AND trim(g) <> ''
),
excluded_ids AS (
SELECT unnest($4::uuid[]) AS id
UNION ALL
SELECT pe.track_id AS id
FROM play_events pe
WHERE pe.user_id = $1 AND pe.started_at > now() - $3 * interval '1 hour'
UNION ALL
SELECT q.track_id AS id
FROM lidarr_quarantine q
WHERE q.user_id = $1
),
lb_similar AS (
SELECT ts.track_b_id AS track_id, ts.score AS sim_score
FROM track_similarity ts
WHERE ts.track_a_id = $2
AND ts.source = 'listenbrainz'
AND ts.track_b_id NOT IN (SELECT id FROM excluded_ids)
ORDER BY ts.score DESC
LIMIT $5
),
similar_artists AS (
SELECT t.id AS track_id, asim.score * 0.5 AS sim_score
FROM artist_similarity asim
JOIN tracks t ON t.artist_id = asim.artist_b_id
JOIN seed_artist sa ON asim.artist_a_id = sa.artist_id
WHERE asim.source = 'listenbrainz'
AND t.id NOT IN (SELECT id FROM excluded_ids)
ORDER BY asim.score DESC, random()
LIMIT $6
),
tag_overlap AS (
SELECT t.id AS track_id,
(count(DISTINCT trim(g))::float8
/ GREATEST((SELECT count(*) FROM seed_tags), 1)) AS sim_score
FROM tracks t
LEFT JOIN LATERAL regexp_split_to_table(coalesce(t.genre, ''), '[;,]') AS g_split(g) ON true
WHERE trim(g_split.g) IN (SELECT tag FROM seed_tags)
AND t.id NOT IN (SELECT id FROM excluded_ids)
AND t.id <> $2
GROUP BY t.id
HAVING count(DISTINCT trim(g_split.g)) > 0
ORDER BY sim_score DESC
LIMIT $7
),
likes_overlap AS (
SELECT gl.track_id, 0.6::float8 AS sim_score
FROM general_likes gl
WHERE gl.user_id = $1
AND gl.track_id NOT IN (SELECT id FROM excluded_ids)
AND EXISTS (
SELECT 1 FROM tracks t
LEFT JOIN LATERAL regexp_split_to_table(coalesce(t.genre, ''), '[;,]') AS g_overlap(g) ON true
WHERE t.id = gl.track_id
AND trim(g_overlap.g) IN (SELECT tag FROM seed_tags)
)
ORDER BY random()
LIMIT $8
),
random_fill AS (
SELECT t.id AS track_id, 0.0::float8 AS sim_score
FROM tracks t
WHERE t.id NOT IN (SELECT id FROM excluded_ids)
AND t.id <> $2
AND t.id NOT IN (
SELECT track_id FROM lb_similar
UNION SELECT track_id FROM similar_artists
UNION SELECT track_id FROM tag_overlap
UNION SELECT track_id FROM likes_overlap
)
ORDER BY random()
LIMIT $9
)
SELECT
t.id, t.title, t.album_id, t.artist_id, t.track_number, t.disc_number, t.duration_ms, t.file_path, t.file_size, t.file_format, t.bitrate, t.mbid, t.genre, t.added_at, t.updated_at,
(l.user_id IS NOT NULL)::bool AS is_liked,
pe.last_played_at::timestamptz AS last_played_at,
pe.play_count,
pe.skip_count,
COALESCE(max(u.sim_score), 0.0) AS similarity_score
FROM (
SELECT track_id, sim_score FROM lb_similar
UNION ALL SELECT track_id, sim_score FROM similar_artists
UNION ALL SELECT track_id, sim_score FROM tag_overlap
UNION ALL SELECT track_id, sim_score FROM likes_overlap
UNION ALL SELECT track_id, sim_score FROM random_fill
) u
JOIN tracks t ON t.id = u.track_id
LEFT JOIN general_likes l ON l.user_id = $1 AND l.track_id = t.id
LEFT JOIN LATERAL (
SELECT max(started_at) AS last_played_at,
count(*) AS play_count,
count(*) FILTER (WHERE was_skipped) AS skip_count
FROM play_events
WHERE user_id = $1 AND track_id = t.id
) pe ON true
GROUP BY t.id, t.title, t.album_id, t.artist_id, t.duration_ms, t.file_path,
t.file_format, t.file_size, t.bitrate, t.track_number, t.disc_number,
t.mbid, t.genre, t.added_at, t.updated_at,
l.user_id, pe.last_played_at, pe.play_count, pe.skip_count
`
type LoadRadioCandidatesV2Params struct {
UserID pgtype.UUID
ID pgtype.UUID
Column3 interface{}
Column4 []pgtype.UUID
Limit int32
Limit_2 int32
Limit_3 int32
Limit_4 int32
Limit_5 int32
}
type LoadRadioCandidatesV2Row struct {
Track Track
IsLiked bool
LastPlayedAt pgtype.Timestamptz
PlayCount int64
SkipCount int64
SimilarityScore interface{}
}
// M4c: similarity-driven candidate pool. 5-way UNION:
//
// $1 user_id, $2 seed_track_id, $3 recently_played_hours,
// $4 exclude (uuid[]), $5 lb_similar K, $6 similar_artists K,
// $7 tag_overlap K, $8 likes_overlap K, $9 random_fill K.
//
// Returns same shape as LoadRadioCandidates plus similarity_score column.
func (q *Queries) LoadRadioCandidatesV2(ctx context.Context, arg LoadRadioCandidatesV2Params) ([]LoadRadioCandidatesV2Row, error) {
rows, err := q.db.Query(ctx, loadRadioCandidatesV2,
arg.UserID,
arg.ID,
arg.Column3,
arg.Column4,
arg.Limit,
arg.Limit_2,
arg.Limit_3,
arg.Limit_4,
arg.Limit_5,
)
if err != nil {
return nil, err
}
defer rows.Close()
var items []LoadRadioCandidatesV2Row
for rows.Next() {
var i LoadRadioCandidatesV2Row
if err := rows.Scan(
&i.Track.ID,
&i.Track.Title,
&i.Track.AlbumID,
&i.Track.ArtistID,
&i.Track.TrackNumber,
&i.Track.DiscNumber,
&i.Track.DurationMs,
&i.Track.FilePath,
&i.Track.FileSize,
&i.Track.FileFormat,
&i.Track.Bitrate,
&i.Track.Mbid,
&i.Track.Genre,
&i.Track.AddedAt,
&i.Track.UpdatedAt,
&i.IsLiked,
&i.LastPlayedAt,
&i.PlayCount,
&i.SkipCount,
&i.SimilarityScore,
); err != nil {
return nil, err
}
items = append(items, i)
}
if err := rows.Err(); err != nil {
return nil, err
}
return items, nil
}