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minstrel/internal/db/dbq/coplay.sql.go
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bvandeusenandClaude Opus 5.5 1d4ef1a23f docs: query comments say what each query selects and why, not how it came to be (#6277)
Rewrites the internal/db/queries comments to rule 32 and regenerates
dbq, whose doc comments and embedded SQL carry them. The bugs behind the
tiered mixes, the md5 order seed, the score bands and the round-robin
arms are restated as the constraint each one enforces; counts from one
library and stale cross-references are gone.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-23 12:31:13 -04:00

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// Code generated by sqlc. DO NOT EDIT.
// versions:
// sqlc v1.31.1
// source: coplay.sql
package dbq
import (
"context"
)
const deleteArtistCoplayEdges = `-- name: DeleteArtistCoplayEdges :exec
DELETE FROM artist_similarity WHERE source = 'user_cooccurrence'
`
// Household co-play similarity. Minstrel is a
// single shared-library, multi-user server (no per-user library ACL), so the
// "household" is the whole instance's user set. These queries recompute
// artist–artist co-occurrence edges from play_events and store them in
// artist_similarity under the pre-provisioned source = 'user_cooccurrence'
// (whitelisted in the 0009 CHECK from day one). A periodic worker DELETEs then
// re-INSERTs so edges that fall below threshold disappear. Single-user servers
// produce no edges (the >= 2 co-player gate), so the arm is empty there.
func (q *Queries) DeleteArtistCoplayEdges(ctx context.Context) error {
_, err := q.db.Exec(ctx, deleteArtistCoplayEdges)
return err
}
const insertArtistCoplayEdges = `-- name: InsertArtistCoplayEdges :exec
WITH user_artists AS (
SELECT DISTINCT pe.user_id, t.artist_id
FROM play_events pe
JOIN tracks t ON t.id = pe.track_id
WHERE pe.was_skipped = false
AND pe.started_at > now() - interval '365 days'
),
artist_players AS (
SELECT artist_id, count(*)::float8 AS players
FROM user_artists
GROUP BY artist_id
),
pairs AS (
SELECT ua.artist_id AS a_id,
ub.artist_id AS b_id,
count(*)::float8 AS coplayers
FROM user_artists ua
JOIN user_artists ub
ON ua.user_id = ub.user_id AND ua.artist_id <> ub.artist_id
GROUP BY ua.artist_id, ub.artist_id
HAVING count(*) >= 2
),
scored AS (
SELECT p.a_id, p.b_id,
p.coplayers / (pa.players + pb.players - p.coplayers) AS score
FROM pairs p
JOIN artist_players pa ON pa.artist_id = p.a_id
JOIN artist_players pb ON pb.artist_id = p.b_id
)
INSERT INTO artist_similarity (artist_a_id, artist_b_id, score, source, fetched_at)
SELECT a_id, b_id, score, 'user_cooccurrence', now()
FROM scored
WHERE score >= $1
ON CONFLICT (artist_a_id, artist_b_id, source)
DO UPDATE SET score = EXCLUDED.score, fetched_at = EXCLUDED.fetched_at
`
// Two artists are "co-played" when the same users play both. score is the
// Jaccard of their distinct-player sets — coplayers / (playersA + playersB −
// coplayers) in (0,1] — which controls for globally-popular artists (an artist
// everyone plays would otherwise co-occur with everything). Only pairs with
// >= 2 distinct co-players AND Jaccard >= $1 (a floor that both prunes weak
// edges and self-limits hub artists, whose large denominators drag their
// Jaccard down) are kept. Completed plays only, 365-day window.
func (q *Queries) InsertArtistCoplayEdges(ctx context.Context, score float64) error {
_, err := q.db.Exec(ctx, insertArtistCoplayEdges, score)
return err
}