The new codegen check failed on its first run, against the slice-1 hand-edit,
which is precisely why it landed on its own commit.
What I got wrong: sqlc does not embed the leading `--` header block in the SQL
const. It strips those lines and promotes them to the generated method's Go doc
comment, gofmt-formatted — blank `//` separators around the indented list, tabs
for the indent. My hand-edit left the header inside the string AND left the
stale M5c doc comment sitting on the function, so the generated file described
behaviour the query no longer had.
Comments *inside* the statement body are kept as-is; only the header block moves.
Worth knowing before slices 5 and 6 add more queries.
Taken verbatim from the diff the check printed, which is the reason it prints
before asserting. Round-trip cost: one CI run, no guessing.
Note the integration lane passed on the previous push even with the wrong
generated file — the SQL text was valid and the signature was unchanged, so
executing it against real Postgres proved nothing about whether the committed
Go matched its source. That gap is exactly what #2380 closes.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The Discover request surface was the one recommendation surface still on its
M5c implementation from early May. #796's taste profile, #1488's taste_unheard
bucket and #1490's folksonomy enrichment all modernized in-library surfaces;
this one was never in scope for any of them, so it still projected raw likes +
plays through artist_similarity_unmatched.
Two defects fall out of that signal, `5*liked + Σexp(-age/halflife)` summed
over every play of the artist.
It is unbounded, and contribution is signal × similarity — so a handful of
heavily-played artists monopolize all twelve slots, and their share GROWS the
more the user listens. The surface entrenched harder the better it knew you,
which is exactly backwards and matches the reported "goes stale once it has a
strong signal of your taste".
It also counted every play_event with no was_skipped filter, so skipping an
artist repeatedly INCREASED its signal and pushed more of its neighbours at the
user. ListMostPlayedTracksForUser and the taste engine both filter skips; this
query was the odd one out.
Seeds now come from taste_profile_artists.weight, which the taste engine has
already engagement-graded, time-decayed and signed — an artist the user drifted
away from stops contributing instead of accumulating forever, and can even
contribute negatively. Tiered per rule #131 rather than hard-switched: tier 1 is
the profile, tier 2 is likes + completed plays for a user who has no profile
rows yet (new account, or before the first daily recompute), so the surface
never empties. The old unfiltered-play signal is gone, not kept behind a toggle.
The signal is also log-damped, so one artist cannot take every slot even when
its weight dwarfs the rest.
$2 stays wired to the tier-2 decay: it is genuinely still used there, and
dropping the parameter would have changed the generated signature.
sqlc's image is not on this workstation and the change preserves the query
signature exactly — same three params, same seven columns — so only the
embedded SQL const moves. Both copies are edited and verified byte-identical
rather than pulling a container onto the operator's machine; a malformed query
fails the integration lane loudly, which is the real check either way.
Four integration tests cover what changed: a taste weight alone seeds with no
like or play; tier 2 does not run alongside tier 1; a non-positive weight never
seeds (guarded by a second positive row, so an empty tier 1 can't make it pass
for the wrong reason); and skip-only history seeds nothing.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Milestone #160 Opt 3b. Adds device class as a third context axis on top
of the #1531 time-of-day/weekday affinity: on the radio path, a candidate
is boosted when its artist concentrates in the current (daypart × weekday
× device) cell. Client-sent (client_id is opaque; no UA stored), so it's
captured going forward and applies to radio only (daily mixes are
cron-built with no device → stay device-agnostic).
Server:
- Migration 0048: play_events.device_class text NULL (no CHECK; normalized
in Go — one whitelist entry per new client class, not a migration).
- events.go: eventRequest.device_class + normalizeDeviceClass (whitelist →
mobile/web/…, else "other", empty → NULL); threaded through both
RecordPlayStartedWithSource and RecordOfflinePlay into InsertPlayEvent.
- ListArtistContextPlayCountsForUser gains a current-device param; the cell
FILTER adds AND ($2='' OR device_class=$2) — '' reproduces the #1531
time-only behaviour exactly (used by mixes). SessionVector.DeviceClass
carries it; the radio handler derives the current device from the user's
latest play (GetLatestPlayDeviceClassForUser) — request-free proxy.
- No new tuning knob: device narrows the existing ContextAffinityScore
(reuses context_time_weight).
Clients:
- web: play_started sends device_class 'web'.
- android: play_started + offline replay send 'mobile' (EventsWire +
PlayOfflinePayload + MutationReplayer + PlayEventsReporter).
Test: LoadContextAffinity device-narrowing integration test (mobile vs web
artist separation; device-agnostic parity).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Milestone #160 Opt 5. A collaborative candidate arm: tracks by artists
co-played across the instance with the seed's artist.
Minstrel is a single shared-library, multi-user server (no per-user
library ACL — verified: no owner/share/group model), so the "household"
is the whole instance's user set; the rule #47 scoping is satisfied by
the shared-library boundary. Single-user servers produce no edges.
- No migration: source='user_cooccurrence' was pre-whitelisted in the
0009 similarity CHECK from day one.
- internal/db/queries/coplay.sql: Delete + Insert artist co-play edges.
Score = Jaccard of the two artists' distinct-player sets (controls for
globally-popular artists); >= 2 co-players AND Jaccard >= floor kept
(the floor also self-limits hub artists). Completed plays, 365d window.
- internal/coplay: periodic worker (6h) that atomic-replaces the
user_cooccurrence edge set from play_events — pure local SQL, no
external calls. Wired in main.go alongside the similarity worker.
- LoadRadioCandidatesV2: new coplay_artists arm (source='user_cooccurrence',
seed-artist based, 0.5 damp like similar_artists) + $11 limit;
CandidateSourceLimits.UserCoplay (default 20, For-You 40).
- Integration tests: perfect-overlap Jaccard=1.0 edge + single-user
empty-set gate.
Device axis and AcousticBrainz (Opt 4) are separately tracked; this
closes the milestone-#160 sequential options.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Milestone #160 Opt 3 (temporal half). A new additive scoring term that
boosts a candidate when its artist's play history concentrates in the
CURRENT daypart × weekday-type cell, in the user's local timezone.
- Migration 0046: recommendation_weight_profiles.context_time_weight
(per-profile scoring weight, DEFAULT 1.0).
- Query ListArtistContextPlayCountsForUser: per-artist completed-play
counts split by the current cell (daypart night[22,5)/morning[5,12)/
afternoon[12,17)/evening[17,22) × weekday-vs-weekend) via
started_at AT TIME ZONE users.timezone; 365-day window, skips excluded.
- internal/recommendation/context.go: LoadContextAffinity computes each
artist's shrunk cell-share minus the user's baseline share, clamped to
[-1,1]; sparse artists shrink toward baseline (pseudo-count 5), unknown
artists → 0 (cold-start neutral).
- Score() gains context_affinity_score · ContextTimeWeight; both
candidate loaders set it per candidate.
- Tuning lab: ContextTimeWeight threaded through recsettings + admin API
+ web card ("Time-of-day weight" row) + Go/web tests. Shipped 1.0 both
profiles (uniform start, re-bakeable).
Device-class axis deferred to #1551 (needs a client_id → device-class
mapping that doesn't exist yet).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Milestone #160 Opt 2 (era half). A third taste facet alongside artists
+ genre tags: signed weights over decade buckets ("1990s") derived from
albums.release_date, rebuilt daily and scored into the taste match.
- Migration 0045: taste_profile_eras table (mirrors taste_profile_tags)
+ taste_tuning.era_scale column (DEFAULT 0.5).
- Build side (internal/taste): Config.EraScale ([0,1] damper, mirrors
EnrichedTagScale), accumulate folds each play/like's decade at
base*EraScale, persist atomic-replaces the era rows.
- Scorer (internal/recommendation): TasteProfile gains an era term (own
tanh scale + additive 0.15 share so it never weakens the existing
artist/tag signal when a track is undated); candidate queries return
album release_date; decadeOf mirrors the builder helper.
- Tuning lab: era_scale threaded through recsettings + admin API + web
card (auto-renders the new row) + Go/web tests.
Mood facet deferred to #1534 (partial enrichment coverage + needs
candidate-side enriched-tag loading).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The previous commit staged only track_tags.sql.go and left the rest of
the sqlc regen uncommitted, so HEAD referenced TrackTag / the new
tracks.tag_source columns without their definitions — a broken tree.
Adding tracks.tag_source + tag_sources_version to the tracks table
regenerated every generated file that returns/embeds the Track model
(models.go, tracks/events/history/likes/recommendation). Commit them all
together so dev HEAD compiles.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2a re-ranks the existing pool by TasteMatch; this ensures taste-relevant tracks
ARE in the pool. Adds a 6th arm to LoadRadioCandidatesV2: in-library tracks by
the user's top positively-weighted taste-profile artists ($10 K, weight > 0,
deterministic weight-DESC,id order so it doesn't reintroduce same-day
nondeterminism). Pool-inclusion only (sim_score 0) — TasteMatch already scores
the fit. Empty for cold-start users (no profile).
- CandidateSourceLimits.TasteOverlap; default 20 (radio), 80 for For-You via
systemForYouSourceLimits.
- You-might-like deliberately sets TasteOverlap=0: it surfaces NOT-actively-
engaged artists, so flooding its pool with top-taste (mostly already-played)
artists would just feed the read-time dedup.
- Test: positive-weight artist's track enters via the arm; negative-weight one
is excluded (weight > 0). Existing pool tests unaffected (no profile seeded).
Deferred within 2b: profile-seeded For-You — marginal given the arm + TasteMatch
already inject taste broadly (top-played seed ≈ top-taste artist).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
GET /api/artists/{id}/similar — in-library artists ranked by similarity
score (deduped across sources), ArtistRef list with cover + album count.
GET /api/artists/{id}/top-tracks — current user's most-played tracks for
the artist (skips excluded, quarantine filtered).
CI on 8b586c2e caught it: the $1::text cast in the md5 ORDER BY made
sqlc infer the parameter as plain string instead of pgtype.UUID,
generating Column1 string instead of UserID pgtype.UUID on the
ListRediscover*ForUserParams structs. go vet flagged both call
sites in internal/recommendation/home.go where the Go code passes
UserID by name.
Fix: hash on album_id (or artist_id) + current_date only. The
eligibility filter already differs per user (different liked sets),
so the daily-rotation goal is preserved; we just lose per-user salt
in the within-day ordering of overlapping items - acceptable.
Applies to both primary queries AND both fallback queries (all four
had the same cast).
User request 2026-06-01: the previous Rediscover only fired on
explicit album/artist likes, so users who only liked at the track
level got an empty Rediscover row. Also no daily rotation - the
section never changed between data updates - and 25 items felt long
for the Home carousel.
SQL (internal/db/queries/recommendation.sql):
- ListRediscoverAlbumsForUser UNIONs the existing explicit album-like
signal with a new track-derived path: an album qualifies if it has
>=2 liked tracks where the earliest like is >30 days old.
- ListRediscoverArtistsForUser does the same with threshold 3 (artists
span more releases, so the bar is higher to avoid one-hit-wonder
affinities).
- Both ordering switched from longest-since-last-play to a daily-
stable random hash md5(entity_id || user_id || current_date) so
the row randomizes but stays consistent within a day.
- Fallback queries also switched to the daily-stable hash so the
fallback rows don't reshuffle on every refresh.
Go (internal/recommendation/home.go):
- HomeRediscoverLimit dropped from 25 to 10 (carousel-sized).
- rediscoverInnerLimit (30) is the per-query cap; gives headroom so
the Go-layer filters don't undershoot.
- applyRediscoverAlbumFilters does cross-section dedup vs Most Played
(no point surfacing albums the user is actively spinning) plus a
diversity cap of max 2 albums per artist (prevents one liked-but-
forgotten artist dominating the row).
- applyRediscoverArtistFilters does cross-section dedup vs Most
Played's artist set; no diversity cap needed (one row per artist).
Tests (internal/recommendation/home_integration_test.go):
- TrackDerived path: 2 liked tracks >30d old + no recent plays = album
appears in Rediscover.
- Threshold guard: 1 liked track = album does NOT appear.
- Diversity cap: 4 explicit album-likes from same artist = 2 in output.
- Dedup vs MostPlayed: eligible album whose track is in MostPlayed
gets filtered out.
- Existing FallbackWhenSparse test preserved (semantics unchanged for
recent likes that miss the >30d primary filter).
Clients unchanged - they render whatever /api/home/index returns. No
parity-map row needed (this is a server-internal recommendation
change, not a layout divergence).
handleGetHome itself is well-architected (5 sections in parallel via
goroutines, latency-bound by the slowest single query). The cold-
start lag is two of those queries doing wider scans than necessary.
ListLastPlayedArtistsForUser was iterating FROM artists a with a
LATERAL play_events join per row — O(total_artists in library) plan
even for users who've only played a handful. Inverted: aggregate the
user's plays by artist_id first via the play_events → tracks join
(uses play_events_user_track_idx + tracks pkey), then attach the
artist row and lateral cover/count subqueries only for the artists
that actually appear. Cost now bounded by play history, not library
size.
ListMostPlayedTracksForUser was joining tracks/albums/artists for
every play_event row before grouping — O(total plays) work for
joins. Pre-aggregated play_events into a CTE keyed by track_id +
count(*), then joined to tracks/albums/artists only for the
distinct-tracks survivors. Order-by uses the pre-computed count.
No handler or generated-Go signature changes — both queries return
the same rowset shape, just much faster on libraries where total
artists/plays >> distinct-played-artists/distinct-played-tracks.
- Extends GetAlbumCoverageRollup's with_art FILTER to include
'theaudiodb' so F's coverage gauge surfaces TheAudioDB-found rows
as with_art rather than silently undercounting.
- Modifies ListAlbumsMissingCover to take the current sources_version
as a parameter; eligibility now includes stale-'none' rows.
- Adds SetAlbumCoverWithVersion (atomic write of path + source +
version stamp) and the parallel SetArtistArtWithVersion +
ClearArtistArtNone + ListArtistsMissingArt for the artist-art
enricher.
- New coverart_settings.sql with ListProviderSettings,
UpsertProviderSettings (boot reconciliation, preserves operator
values on conflict), UpdateProviderSettings (admin PATCH; tri-
state api_key handling), GetCurrentSourcesVersion,
BumpSourcesVersion (RETURNING the new value).
Add per-user artist-suggestion service ranking out-of-library MBIDs by
signal x similarity. Single-CTE SQL collects user likes (5x weight) and
recency-decayed plays, joins against artist_similarity_unmatched, and
filters in-library candidates plus non-terminal lidarr_requests. The
service resolves top-3 attribution seeds to artist names in a batched
GetArtistsByIDs call so the UI can render "because you liked X" reasons.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The combined seed_info CTE filtered the seed out when its genre was
NULL/empty. Restored the spec's two-CTE design (seed_artist + seed_tags)
so similar-artist matching works regardless of the seed's genre coverage.
Drops the genre workaround from the SimilarArtist test.
Single SELECT that joins tracks with general_likes (for is_liked) and
an aggregated LATERAL subquery on play_events (for last_played_at,
play_count, skip_count). Excludes seed + tracks played in the last
N hours. Drives the M3 weighted shuffle scoring.
bvandeusenandClaude Opus 5