53 Commits

Include renames

Author	SHA1	Message	Date
bvandeusenandClaude Opus 5.5	5bcbc80555	fix: the taste arm round-robins across taste artists, and tag ties follow the order seed (#3880) ... Measured on the operator's library (26,005 tracks, pool scale 2.28): the arms the library scale grows all have far more rows than it asks for, and two arms collapsed whatever their limits were. - taste_overlap ordered by weight then track id, so the strongest taste artist's catalogue filled it: 20 tracks of saib. (197 tracks) out of 174 taste artists, the same lowest-id tracks every time. It now takes one track per taste artist, strongest first, md5-seeded, as similar_artists does since #5297. - tag_overlap broke ties in no order. A one-tag seed ties 7,804 tracks, and the LIMIT took whichever Postgres reached first, which the order seed did not control. Ties now follow md5(id || seed). - library_scale.go records the per-arm measurement beside the reference size it leaves as is. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-21 12:12:58 -04:00
bvandeusenandClaude Opus 5.5	e44025435e	fix: ListenBrainz similarity is stored relative to the seed's best, and the candidate arms keep tier order (#6177) ... LB's similarity scores are counts (16 to 1445 for recordings, to 10,875 for artists), and they reached a scorer that reads similarity as 0 to 1. One edge added 64 to 5,800 points under Songs-like, so likes, skips and recency stopped mattering for any candidate with an edge. - ResolveListenBrainzTrackEdges divides each edge by the seed's best score in its whole cached answer. The cache keeps the raw answer. - The worker stores matched and unmatched artist rows over the seed's top artist. - Migration 0096 rescales the rows already stored. - The candidate arms hold sim_score bands so tier 1 stays above tier 2: lb_similar 0.5 + 0.5 x edge, tag_overlap halved, likes_overlap 0.3. Otherwise a seed's weaker LB edges fell below a shared genre tag. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-21 10:56:26 -04:00
bvandeusenandClaude Opus 5.5	3a16732883	feat: Minstrel no longer talks to Lidarr: its connection, Delete via Lidarr and the unmonitor options are gone, and the track reports are plain quarantine (M502 #5525) ... Migration 0091 drops lidarr_config and renames the quarantine tables, types, indexes and the history column off the Lidarr name. The Integrations Lidarr card, the Reports "Delete via Lidarr" action, the merge and remove-track unmonitor options, the Lidarr audit actions and error codes go, on the server, web and Android. The README describes acquisition as it is now. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-11 13:48:20 -04:00
bvandeusenandClaude Opus 5.5	04515a977c	feat: a wanted list — follow artists on release-type profiles; requests and re-acquisition become wants (M502 #5520) ... Minstrel keeps its own list of what it is to get, keyed by MusicBrainz release group. A want comes from an approved request, a new release by a followed artist, or an album whose files went missing, and is held once the library has a full edition of it. - Migration 0081: release_type_profiles (Standard seeded: Album, EP, Single, studio only), follows, follow_seen_groups and wants. lidarr_requests becomes requests with plain *_mbid columns; approved album and track requests move onto the wanted list, approved artist requests become follows, and the library's album artists start out followed. missing_reacquisitions and the retry settings go. - internal/wanted: follows are checked against MusicBrainz discographies daily. The first check sets a baseline, and only releases after it are wanted unless the follow asked for what already exists. Profiles filter by primary and secondary type, so live recordings stay out unless a profile ticks Live. - internal/requests (was lidarrrequests): approving puts the request on the wanted list, and an artist request can be approved on a chosen profile. A request completes when its want is held. - The re-acquisition sweeper wants a missing album back instead of asking Lidarr; searching for it is the search schedule's (#5521). - Web: an admin Wanted page (Wanted, Missing files, Held, Following), a follow control on artist pages, a release-type profiles card on Integrations, "Approve on a profile" on Requests, and want state on Missing files. The artist detail API returns the artist's MBID. - Android: the request body sends artist_mbid, album_mbid and track_mbid. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-10 00:46:22 -04:00
bvandeusenandClaude Opus 5.5	53eb954c86	feat: video rips and stray copies handle themselves (M498 #5439) ... - The resolver also merges cross-release and mismatch groups where Lidarr maps exactly one copy: the others fulfil nothing, so removing them opens no hole (D-a rule 1). That covers a rip beside the clean copy on another release and a wrong-file import Lidarr holds unmapped. With two or more mapped copies each fulfils its own release and nothing is removed. - A track whose file name carries a video-rip marker is held back from radio and the system mixes (tracks.source_verdict, migration 0077). It still plays when chosen. A renamed file is released; the operator's "fine" sticks. - Suspect sources shows what was done to each track, with "This one is fine" and "Hold back again" (PUT /api/admin/library/suspect-sources/{id}). - The Liked list prefers a copy that is not held back. Replacing a rip that has no clean copy is left for the operator to decide. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-08 22:13:37 -04:00
bvandeusenandClaude Opus 5.5	5b372f61d7	feat: the same song on several releases counts as one song (M498 #5438) ... A single and the album it is on stay two files, since each fulfils its own release in Lidarr, but they are one song to the listener. - tracks.song_id links copies; the generated song_key (song_id, else the track's own id) is what they share (migration 0076). - The resolver links each cross-release group every pass (idempotent; only with auto-resolve on) and, when a link is new, shares existing likes across the song and logs them for sync. - A like or unlike (web and Subsonic) reaches every copy; each change is logged and published so clients update every heart. - The Liked list and its count show the song once; Shuffle and the mix writer take one copy per song. - A merge keeps the removed copy's song link; "Not the same song" on the Across releases tab dismisses the group and undoes the link. Shared plays ("heard via another copy") are left for a later step. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-08 22:07:55 -04:00
bvandeusenandClaude Opus 5.5	aa390c711a	fix(recommendation): artist-level arms take one track per related artist in turn (#5297) ... The similar_artists and coplay_artists arms ordered by artist score, so the closest related artist's catalogue filled the whole LIMIT. On the operator's library the 30-row similar_artists arm held exactly one artist for all 17 seeds measured (#3879), though each seed had 7-33 similar artists in the library. Both arms now rank tracks within each artist and take every artist's first track, best artist first, before anyone's second. Both also skip missing tracks: the outer select already dropped them, but only after they had taken places in the arm's LIMIT. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-07 19:56:21 -04:00
bvandeusenandClaude Opus 5.5	327d49428f	feat(auth): store Subsonic API keys hashed; a new key is shown once (M462 #4983) ... users.api_token held each user's apiKey in plaintext and was looked up by equality, so a leaked row or backup handed out working keys. Migration 0063 replaces it with api_token_hash (sha256, hex), computed in place from the existing keys so every Subsonic client keeps working. The key can no longer be read back: GET /api/me/api-token is gone, and POST returns the new key once. Settings shows it right after Regenerate with a copy button and a "won't be shown again" note. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-06 09:42:35 -04:00
bvandeusenandClaude Opus 5	eff3d88931	fix(recommendation): make the candidate draw reproducible, not accidentally so ... Four arms of the candidate query ended in a bare `ORDER BY random()` with no seed: similar_artists, likes_overlap, coplay_artists and random_fill. Such an arm returns a STABLE set only while its LIMIT exceeds the rows eligible for it — at that point it returns all of them and the order stops mattering, because scoreAndSortCandidates sorts by track id before drawing jitter. Below that threshold it returns a random SUBSET, and two builds on the same day draw different ones. So daily determinism held BY ACCIDENT, and only for libraries smaller than the limits. Any real library is larger, which means same-day rebuilds have been producing different mixes since those arms were written — invisible, because a mix that changes after a refresh looks like a feature rather than a broken promise. Found by breaking it: cutting RandomFill to 10 while tuning Songs-like turned TestBuildSystemPlaylists_DailyNonceDeterminism red. That test seeds ~20 tracks against a default RandomFill of 30, so its determinism came from the limit exceeding the library, not from the code being right. It is now a real guard. The arms order by md5(id || $12) instead. The CALLER decides what that means, which is the point: system mixes pass a per-(user, day) seed and get the determinism they promise, radio passes a fresh value per request and keeps varying, which is what a radio should do. Same shape the browse queries in this file already use (`md5(id::text || current_date::text)`) — existing idiom, not a new one. This also unblocks the trim that #3881 wanted and could not have. Shrinking a randomly-ordered arm was what broke membership; a seeded one takes a smaller but REPRODUCIBLE slice. Songs-like's seed-independent share drops from 29% to 12%, which was the original intent before determinism forced it back to 20%. TestSongsLikeLimits_DoNotShrinkTheUnseededRandomArms is DELETED rather than kept passing. It existed to stop anyone trimming those arms while the ordering was broken; the ordering is fixed, so the constraint is gone and a guard enforcing it would now forbid correct code. Was filed as blocked on tooling. It was not: `make generate-go` runs sqlc as a pinned Go tool and is the same path CI takes. One thing worth knowing for next time: three files in internal/db/dbq are owned by root, left by `make generate` running sqlc in Docker. sqlc errored on the first it could not write. They are untouched by this change and the regeneration of recommendation.sql.go completed, but `make generate` will keep failing until they are chowned. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SQ31KQpYbStyK5y58UmPLH	2026-09-11 08:44:33 -04:00
bvandeusenandClaude Opus 5	4ce47397a9	fix(recommendation): a nil LibrarySize must degrade, not panic ... Fixes the integration failure from 72115484: a SIGSEGV inside handleRadio took down TestHandleRadio_ColdStart_OnlySeedReturned. recommendation.(*LibrarySize).Get(0x0, ...) library_scale.go:146 api.(*handlers).handleRadio(...) radio.go:95 internal/api builds its handlers struct directly in a dozen tests, none of which know about every field, so librarySize arrives nil there. Get took l.mu.Lock() straight off the nil receiver. The shape of the bug is what matters more than the nil check. This value's entire contract is that it degrades — an errored count keeps the last known number, a never-counted cache returns 0, and 0 scales to the base limits, i.e. today's behaviour. A pool-sizing HINT then turned a request into a crash, which is the precise opposite of that. A nil receiver is now VALID and means "no cache": the count still runs, it is just not memoised. Correct-but-uncached rather than zero, so a wiring miss in production would cost a query per request, not silently unscale every pool — a performance bug is findable, a quietly-wrong pool is not. Patching the test constructors was the alternative and is worse: a dozen call sites, and the next test to build a handlers literal reintroduces it. Guarded with the nil path exercised directly, including that it counts again rather than memoising, and still returns 0 on a failed count. The old shape fails it by panicking. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SQ31KQpYbStyK5y58UmPLH	2026-09-10 23:29:35 -04:00
bvandeusenandClaude Opus 5	721154847e	fix(recommendation): size the candidate pool to the library ... Operator, 2026-09-10: "is the pool that we draw from somehow scaled to the amount of music in the library... my earlier understanding of the tuning and work may have been skewed by what was in my library." It was not. DefaultCandidateSourceLimits returns what its own comment calls "the v1 hardcoded constants per spec" — ~170 candidates for a 500-track library and a 100,000-track one alike. The pool therefore samples a shrinking FRACTION of a growing collection: 17% of 1,000 tracks, 1.7% of 10,000, 0.17% of 100,000. RandomFill, whose whole job is exploration, becomes a thinner and noisier slice at exactly the moment a library gets more diverse — which is the "starting to feel weird" being reported. 1,000 tracks -> pool 170 (unchanged) 5,000 -> pool 170 (unchanged) 20,000 -> pool 280 80,000 -> pool 500 (ceiling) THE SCALING IS PER-ARM, and that is the substance rather than a refinement. A limit only matters if there are rows for it to cut off, so what an arm is BOUNDED BY decides whether library size can help it. LBSimilar, SimilarArtist, TagOverlap and RandomFill grow: they are bounded by similarity/tag data and by the library itself. LikesOverlap, UserCoplay and TasteOverlap do not: they are bounded by the user's likes, the instance's co-play graph and the taste profile, none of which grow when the library does. Raising those would sample more of a set that did not change — churn, not reach. It also keeps this from inflating the sim_score-0 share, since TasteOverlap is one of the two zero-similarity arms. sqrt, not linear: linear would put a 100,000-track library at a 3,400-candidate pool, long past where more candidates improve the answer. A 4x ceiling bounds it at ~500. Never shrinks an arm. The base limits are a floor, and #3889 makes that load-bearing rather than tidy — shrinking an arm ordered by unseeded random() changes pool membership between same-day rebuilds. Library size comes from a TTL-cached count reusing CountTracksMatching with an empty pattern (rule 28 — a new query would need sqlc regeneration, which is blocked). The ILIKE defeats every index, so it is a full scan and must not run per request. It degrades rather than fails: an error keeps the last known value, a never-counted cache returns 0, and 0 scales to the base limits — today's behaviour exactly. Nothing about sizing a pool justifies failing the request it is sizing. Bounded by a 3s deadline (rule 156), and a failed refresh does not stamp the clock, so a blip cannot pin a stale value for the whole TTL. THE REFERENCE IS ASSUMED, NOT MEASURED. libraryScaleReference = 5000 is where growth starts, and the size the v1 constants were really tuned against is unrecorded. #3879 should replace it; until then that constant is the one thing to change. Deliberately conservative: below it nothing scales at all, so no existing install changes behaviour. Falsification caught a weak guard: the sqrt-vs-linear assertion was written at SIXTEEN times the reference, where linear has already been clamped by the ceiling and both curves land on 4x. It proved nothing. Moved to four times the reference, below the ceiling for both, where sqrt gives 2x and linear would give 4x. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SQ31KQpYbStyK5y58UmPLH	2026-09-10 23:23:04 -04:00
bvandeusenandClaude Opus 5	633d4f591f	fix(radio): cap any one artist's share of a radio session ... Operator, 2026-09-10: started radio from a song and "literally all of the songs in the playlist after that were from a single artist which was not expected." There was no per-artist cap anywhere in the radio path. radio.go built the pool and handed it straight to Shuffle, which scores, sorts and takes the top N — nothing between those steps bounded any artist's share, so a pool dominated by one artist produced an output dominated by it. The asymmetry was the tell: discover.go, you_might_like.go and home.go all cap; radio never got one. With the fixture that reproduces it — 20 liked tracks by one artist plus 10 by ten others — the old path returns 10 tracks from 1 artist. It now returns 10 from 8. TWO PASSES, and that is the whole design. A hard cap was the easy mistake: radio asks for 50 tracks by default and 200 at most, so capping at three per artist over a concentrated pool would hand back a six-track "radio". Pass one takes candidates that fit under the caps; pass two fills any remaining slots from those it skipped, still in score order. The result always holds min(limit, len(candidates)) — the caps change WHICH tracks are picked, never HOW MANY. Rule 131's principle past the system mixes it was written for. The caps SCALE with the requested length rather than being a constant. Three-per-artist is a sensible 12% of a 25-track mix and an absurd 1.5% of a 200-track radio, where every selection would sit in the relaxation path and the cap would be decorative. RadioDiversityCaps holds the system mixes' proportion at any length: 3/2 at 25, 6/4 at 50, 24/16 at 200, with floors so a very short radio is not capped down to one track per artist. A BOUND, NOT AN EXCLUSION — the operator asked for the opposite of removal: "again it should be able to add songs from the same artist." The dominant artist still appears, just not exclusively. Guarded, because the tempting wrong fix is the filter songs-like used to carry. Shuffle grew the parameter rather than gaining a capped twin: radio is its only production caller, so a second function would have left the original dead (rule 22). Falsified against each named regression: uncapped gives 10/10 to one artist; a hard cap returns 3 of 10 on a single-artist pool; a cap-as-exclusion drops the artist entirely; a fixed cap stays 3 where the scaled one reaches 24. Caught while writing the guards: the artist-key constant was hand-written hex and wrong — the fixture's artist UUID carries 0001 in its fourth group, so the lookup missed and the assertion measured nothing. Derived from the same construction the fixture uses now. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SQ31KQpYbStyK5y58UmPLH	2026-09-10 22:14:42 -04:00
bvandeusenandClaude Opus 5	ecfa056d4d	fix(recommendation): don't shrink a candidate arm ordered by unseeded random() ... Fixes the integration failure from f367eeaa: "same-day rebuild produced different track lists". Cutting RandomFill 30→10 for Songs-like broke TestBuildSystemPlaylists_DailyNonceDeterminism, and the reason is worth stating because the number is not the bug. `likes_overlap` and `random_fill` end in a bare `ORDER BY random()` with no daily seed (recommendation.sql:118, :161). Such an arm returns a STABLE set only while its LIMIT exceeds the rows eligible for it — then it returns all of them, and the random order stops mattering because scoreAndSortCandidates sorts by track id before drawing jitter. Below that threshold the arm returns a random SUBSET, and two builds on the same day draw different ones. So the test was green by accident. It seeds ~20 tracks against a default RandomFill of 30; the limit exceeded the library, so the arm returned everything. Determinism held for a reason unrelated to the code being right. Which means it does NOT hold in production. Any real library is larger than 30, so same-day rebuilds have been drawing different mixes since that arm was written — invisible, because a mix changing after a refresh looks like a feature. Filed as #3889; the fix is a seeded ordering per (user, day), which needs a .sql change and sqlc regeneration and so cannot land from here. The correction: grow an arm freely, never shrink one whose ordering is unseeded random. LikesOverlap and RandomFill go back to the defaults; TasteOverlap stays halved because it sorts by `tpa.weight DESC, t.id` and is genuinely deterministic. Guarded by a test that names the reasoning, so the next person to trim these has to read why first — and it should be DELETED once #3889 lands rather than worked around. The cost is honest: the seed-independent share of the Songs-like pool falls from 29% to 20% instead of the intended cut. That matters less than it sounds. The pool only biases the draw; the songs_like WEIGHTS are what actually demote sim_score-0 candidates, and they are untouched here — a perfect match still scores 5.00 against an unrelated favourite's 2.00. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SQ31KQpYbStyK5y58UmPLH	2026-09-10 20:59:39 -04:00
bvandeusenandClaude Opus 5	f367eeaa9d	fix(recommendation): Songs-like gets its own profile so it stops wandering ... Operator, 2026-09-10: "when I play it I'm expecting to get a consistent sound and style from the experience... I was getting a seeming wide variety of music from each one when I was hoping to stay in a certain neighborhood." Songs-like shared the `daily_mix` weight profile with For-You, and that sharing WAS the bug. The two surfaces want opposite things: For-You answers "what will they enjoy today" and is supposed to roam; Songs-like answers "what sounds like THIS". Under one profile the broad answer wins. The arithmetic, from the shared weights: unrelated track, liked, not played recently → 1.0 + 2.0 + 1.0 = 4.0 PERFECT similarity match, not liked → 1.0 + 1.5 = 2.5 Liking something outranked sounding like the seed, because LikeBoost (2.0) exceeded SimilarityWeight's whole range (1.5) and TasteWeight (1.5, and seed-INDEPENDENT) matched it outright. Under the new profile the same pair scores 5.00 vs 2.00. Two levers, because either alone leaves the other's failure intact: POOL. Songs-like now takes its own CandidateSourceLimits. The default gave ~29% of candidates a sim_score of literally zero — `taste_overlap` and `random_fill` are both `0.0::float8` in recommendation.sql, seed-independent by construction. Same total pool size; composition shifts to arms that measure distance from the seed, LBSimilar doubled. WEIGHTS. A third profile beside radio and daily_mix, DB-backed and live per rule 25, with the property that similarity's range exceeds the combined range of every seed-independent differentiator — so a closer match cannot be beaten on likes, freshness and taste alone, while tracks within ~0.39 similarity of each other still get ordered by what the user likes. Rule 131 changed the pool design mid-way and for the better. Zeroing the two seed-independent arms was the first instinct and is exactly the vanish-or-nothing shape that rule forbids: a seed with thin ListenBrainz coverage would yield a short mix or none. They are the tier-3 FLOOR — cut hard, never removed — and the weights keep them at the bottom of the ranking rather than out of the pool. "A few tracks further from the seed than we'd like" beats "no playlist". Caught while wiring it: switching only pickTopN's final Score would have been nearly INERT. scoreAndSortCandidates does the selection sort, and the caller caps and truncates in that order — so the playlist would still have been chosen by daily_mix and merely relabelled with songs_like numbers. It now takes the profile as a parameter, and each surface passes its own. Also corrects the daily_mix card's blurb, which claimed Songs-like as one of its surfaces and no longer is. Guards pin behaviour rather than the numbers, since numbers get retuned: that similarity beats an unrelated liked track, that daily_mix still DOESN'T (or the split buys nothing), that the tier-3 floor is non-zero, and that the UI card shows its own values rather than falling back. Each falsified against its named regression first. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SQ31KQpYbStyK5y58UmPLH	2026-09-10 20:51:15 -04:00
bvandeusen	37b396a7e4	fix(scanner): read multi-value genre frames correctly — #2499 ... dhowden/tag's readTFrame splits ID3v2 null-separated multi-value text frames and rejoins them with the EMPTY string, so a file tagged "Alternative Rock" + "Rock" was stored as "Alternative RockRock". It also leaves bare numeric ID3v1 references unresolved, which is why the library showed genres like "4017" and "526617". This corrupted more than the browse axis added in #367: taste_profile.sql reads tracks.genre directly, so the welded tokens were entering the taste profile's tag vocabulary, and recommendation.sql/discover.sql were comparing them as single opaque tags. Genre counts were wrong everywhere. ffprobe is not a fix — ffmpeg's read_ttag calls decode_str once with no loop, keeping only the first value. Truncating multi-genre tags would blunt the similarity signal genre mainly feeds. So the TCON frame is now parsed directly (ID3v2.2/2.3/2.4, all four text encodings, per-frame and tag-level unsynchronisation, numeric and parenthesised ID3v1 references); everything else still comes from dhowden/tag. Values are stored ";"-delimited, which the read side already splits on, so no query changes. Existing rows are repaired without an operator-run rebuild: migration 0054 adds tracks.tag_read_version DEFAULT 0, below the scanner's current tagReadVersion, so the next scan re-reads tags it would otherwise skip on mtime. Such a re-read reuses the stored duration instead of re-running ffprobe, keeping a repair pass tag-read-bound rather than one fork+exec per file. Bumping the constant is how a future extraction fix reaches an existing library. Only ID3v2 is in scope — dhowden welds nowhere else. The Vorbis/MP4 repeated-field question is #2500, unproven and deliberately not built.	2026-08-05 21:17:59 -04:00
bvandeusenandClaude Opus 5	cf0d37bf8e	fix(discover): compare against a baseline run, not a hardcoded score — #2377 ... TestSuggestArtists_UntaggedCandidateSurvivesAlongsideTagged asserted the untagged candidate's score was 0.9 — the raw similarity value I'd seeded. It's actually 1.61, because the pool score is signal-weighted by the seed query: ln(1+signal) x similarity, and a liked seed carries signal 5, so ln(6) x 0.9. The assertion was testing the seeding arithmetic, which is a different layer and not what the test is about. Rewritten to run the same request twice — once with the tag term disabled, once enabled — and assert the untagged candidate's score is IDENTICAL across both. That states the real property (the blend leaves untagged candidates alone) without depending on how the pool score is derived, so it survives future changes to seeding. Added a sanity assertion that the TAGGED candidate's score did move, so the comparison can't pass by both runs being trivially identical — the same "a test that cannot fail" trap recorded for this milestone. Exact-preservation at the arithmetic level is already covered where it belongs, by TestApplyTagOverlap_UntaggedCandidateScoreIsUnchanged. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-02 23:45:48 -04:00
bvandeusenandClaude Opus 5	799dab029a	feat(discover): rank suggestions by taste-tag overlap — #2377 (server) ... The payoff slice. Until now a candidate's only claim on a slot was "some artist you play is adjacent to it in a similarity graph" — a fact that says nothing about whether the music sounds like anything you like. Now the candidate's own folksonomy tags (cached by slice 5) are compared against the user's taste-profile tags, so the deck ranks on taste and can say WHY. The blend is MULTIPLICATIVE — score × (1 + weight × overlap) — and that choice carries the whole safety argument: - An untagged candidate has overlap 0, so its score is EXACTLY unchanged. Tag coverage is permanently partial (#2376); it must cost a candidate nothing, not sink it (rule #131). - Nothing can leapfrog on tags alone. An additive term with a large weight would let a near-zero-similarity artist outrank a strong match for sharing one popular tag, which reads as noise. - Weight 0 restores pure similarity order bit-for-bit, so the operator's knob has a real off position. overlap = Σ(shared) candWeight × normalizedTasteWeight ÷ Σ(all) candWeight. Normalizing the taste side by the user's strongest tag makes the score comparable across users (taste weights accumulate with listening, so a heavy listener's raw numbers dwarf a new user's while meaning the same thing). Dividing by the candidate's own mass makes it comparable across candidates, so a densely-tagged artist can't win on tag count alone. Applied to the whole over-fetched pool BEFORE selectSuggestions, so the rotation and diversity rules operate on blended scores — boosting only the twelve already chosen by similarity would leave the re-ranking undone. A query failure is returned, NOT degraded past. Graceful degradation is for expected absence (no taste profile, no cached tags) and both are handled explicitly as empty inputs; swallowing a real error would hide a broken DB behind a subtly worse ranking that nothing reports. Migration 0051 adds a FOURTH tuning scope rather than columns on taste_tuning, because snooze_days lives here too and a snooze must never be read as taste signal (#2374) — filing it under 'taste' would put it one careless join from the leak that design forbids. Expanding recommendation_tuning_audit's CHECK is in the same migration per rule #36, and a test asserts the audit row lands, which is what would catch its absence. snooze_days moves out of a Go constant onto the tuning card (rule #25), closing the deferral from #2374. Tag-overlap tests use deliberately SKEWED fixtures: an evenly-matching pool cannot exercise a re-ranking, since every candidate gets the same multiplier and the order is unchanged whether the blend works or not. Admin UI + client attribution follow in this batch — rule #27. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-02 20:31:12 -04:00
bvandeusenandClaude Opus 5	4f9b083eec	feat(discover): artist-tag cache for out-of-library candidates — #2376 ... Migration 0050 adds candidate_artist_tags + candidate_artist_tag_state: folksonomy tags for artists NOT in the library, which track_tags cannot hold because it's FK'd to tracks(id) and a Discover candidate has no local row. Slice 6 ranks against these; this slice only fills the cache. The reuse the task claimed is real and verified: MusicBrainz's fetchEntityTags(ctx, "artist", mbid, scale) already existed for the #1519 recording→artist fallback, so FetchArtistTags is a thin wrapper. Two subtleties it does NOT inherit: - Weight scale is 1.0, not artistTagWeightFactor (0.6). That discount exists because FetchTrackTags uses artist tags as a *proxy* for a track's; here the artist IS the subject. Applying it would make these weights incomparable with track_tags — exactly the comparison slice 6 depends on. Pinned by a test. - fetchEntityTags reports existing-but-untagged as (empty, nil) so the track path can fall through. There's no next level here, so empty becomes the terminal ErrNotFound; otherwise the enricher would settle a candidate as "enriched" with zero tags. ArtistTagProvider is the split TrackTagProvider's own doc comment anticipated ("e.g. artist-level tags"). Last.fm gains artist.getTopTags, which returns the same toptags envelope, so the response type and normalizer are reused unchanged. Rather than write the merge-and-classify loop twice, extracted it from EnrichTrack into runChain(). The ErrNotFound-vs-transient split is the load-bearing part — those lead to opposite persistence decisions — so it now has direct unit tests it never had while inlined. Bookkeeping is a separate table, not columns, because the "providers had nothing" outcome must be recordable for a candidate with zero tag rows, and there is no per-candidate row to hang columns off ( artist_similarity_unmatched holds many rows per candidate). Absence of a state row means "never processed", so a transient failure writes nothing and stays eligible. Two capacity realities are designed for, not papered over: - The pool is O(library artists x neighbours) and MusicBrainz allows ~1 req/s, so it can never drain in one pass. The eligibility query returns candidates in descending summed-similarity order, so the ones that can actually reach a deck are enriched first. - candidateBatch (50) is smaller than the track batch (200): tracks are finite and drain to completion, candidates are effectively unbounded and would otherwise starve the track arm forever. GC sweeps both tables — the similarity feed churns, and a candidate that joins the library has its tags in track_tags now. Tags swept before state so a mid-sweep crash leaves a valid state, not a re-fetch loop. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-02 20:04:15 -04:00
bvandeusenandClaude Opus 5	86af79bd2f	feat(discover): time-boxed suggestion snooze, server side — #2374 ... Migration 0049 adds suggestion_snoozes(user_id, candidate_mbid, candidate_name, snoozed_until), and SuggestArtistsForUser excludes rows whose snooze hasn't expired. This is NOT a dislike. Rule #101 forbids a "Not for me" / thumbs-down UI; a snooze is the approved shape instead because it records no verdict on the music, expires on its own (~90d), and never reaches the taste profile. It's acquisition triage — "not right now" — so the filter sits at the candidate stage rather than in the score, where it would become a ranking signal by the back door. Per-user throughout (rule #47): one household member parking a candidate leaves everyone else's deck untouched. candidate_name is denormalized because suggestions are out-of-library by definition — there is no artists row to resolve a display name from, and the un-snooze list has to show something. That list is why GET /discover/snoozes exists at all: a parked candidate is by definition absent from the deck, so without it the DELETE would be unreachable. Also fixes a hole in the codegen check from #2380: `git diff` ignores untracked paths, so a brand-new generated file would have passed it silently. `git add -N` first. This commit is the first to add one. Endpoints: POST /api/discover/suggestions/{mbid}/snooze (body: name, days) DELETE /api/discover/suggestions/{mbid}/snooze GET /api/discover/snoozes UI lands in slice 4 (#2375) before any of this merges — rule #27. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-01 22:51:51 -04:00
bvandeusenandClaude Opus 5	b27029f674	feat(discover): rotate the suggestion deck daily + cap one seed's share — #2373 ... Second half of the reported symptom: suggestions "show the same artists until you request one". The ranking was `ORDER BY total_score DESC` with no randomization and no seen-state, so the only things that could ever change the deck were a candidate entering the library or the user filing a request. The tail of the ranking was unreachable — requesting was literally the only lever. No SQL change was needed. The query already takes a limit, so it over-fetches a pool (4x the slots, capped at 60) and the selection moves to Go, where it is a pure function of (pool, limit, day) — no DB, no clock — and therefore unit testable in the fast lane instead of behind the integration gate. Three rules. The best few by score always lead, so the strongest matches never rotate out of sight (For You's head/tail shape). The remaining slots are drawn by md5(mbid + day), the same daily-stable idiom the Home rows already use: stable within a day so pull-to-refresh doesn't reshuffle, different tomorrow, and no stored state. And a per-seed cap keeps roughly a quarter of the deck attributable to any one seed artist, so twelve neighbours of a single artist can't be the whole surface. The cap is a preference, not a quota. A user whose pool hangs off one or two seeds would otherwise get a three-card surface — worse than the monoculture being avoided, and exactly the vanish-or-nothing shape rule #131 exists to prevent — so a short deck tops up in score order from what the cap set aside. This is also what keeps the existing Top12Cap integration test honest: its 30 candidates share one seed, and without the top-up it would return 3. Eight unit tests, including one that had to be rewritten mid-change: the first version asserted the cap against an evenly-spread pool, where the top-N is already diverse and the assertion could not fail. It now uses a skewed pool where one seed owns the entire top of the ranking, which is the only shape that actually exercises a cap. Dropped two //nolint:gosec directives added in passing — gosec isn't in .golangci.yml, so they suppressed nothing and only implied a check that runs. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-01 12:56:42 -04:00
bvandeusenandClaude Opus 5	14aa22198f	feat(discover): seed request suggestions from the taste profile — #2372 ... 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>	2026-08-01 12:45:34 -04:00
bvandeusenandClaude Opus 4.8	5749f48b4a	feat(taste): device-class context conditioning — #1551 ... 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>	2026-07-14 12:47:59 -04:00
bvandeusenandClaude Opus 4.8	f0c08e7326	feat(taste): mood taste facet — #1534 ... Milestone #160 Opt 2b (mood half of the era+mood option). A fourth taste facet alongside artists + genre tags + eras: signed weights over canonical mood buckets (melancholic / energetic / chill / …) derived from a track's enriched folksonomy tags (#1490). - internal/mood: shared vocabulary — Of(tags) maps folksonomy tags to canonical mood buckets (synonyms collapse). Imported by both the taste builder and the scorer so a track's mood is derived identically. - Migration 0047: taste_profile_moods table + taste_tuning.mood_scale (DEFAULT 0.5). - Build side (internal/taste): Config.MoodScale ([0,1] damper, mirrors EraScale); accumulate folds each play/like's mood buckets at base*MoodScale; persist atomic-replaces the mood rows. - Scorer (internal/recommendation): TasteProfile gains a mood term (own tanh scale + additive 0.12 share, so it never weakens the existing signal when a track has no mood tags). Match now takes the candidate's mood buckets; loaded per candidate (ListTrackTagsForTracks → mood.Of) in the primary similarity loader only — the near-whole-library fallback pool passes nil (mood → 0) to avoid a full-library tag scan. - Tuning lab: mood_scale threaded through recsettings + admin API + web card ("Mood weight" row) + Go/web tests. Coverage is partial (grows with tag enrichment; richer once Last.fm is keyed), so mood is a supplement — neutral for tracks with no mood tags. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-14 10:32:41 -04:00
bvandeusenandClaude Opus 4.8	199fec2058	feat(taste): household co-play similarity — #1533 ... 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>	2026-07-14 10:07:19 -04:00
bvandeusenandClaude Opus 4.8	65dd132b3d	feat(taste): time-of-day / weekday context conditioning — #1531 ... 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>	2026-07-14 09:31:43 -04:00
bvandeusenandClaude Opus 4.8	40384cc05e	feat(taste): era/decade taste facet — #1530 ... 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>	2026-07-14 09:01:00 -04:00
bvandeusenandClaude Opus 4.8	6c26ba807e	feat(taste): phase 2b — taste_overlap candidate arm (#796) ... 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>	2026-06-12 00:05:50 -04:00
bvandeusenandClaude Opus 4.8	c7adf2c87a	fix(recommendation): broaden You-might-like fallback to liked album/track artists (#790) ... The fallback pulled artists only from explicit artist-likes (general_likes_artists), but most users like albums and tracks far more than artists — so the artists row still came up thin (a couple of tiles) even with a rich library, while the albums row filled fine. Broaden both fallbacks to "entities you've shown affinity for": - artist fallback = explicit artist-likes ∪ artists of liked albums ∪ artists of liked tracks. - album fallback = explicit album-likes ∪ albums of liked tracks. New dedicated queries (ListYouMightLike{Artist,Album}FallbackForUser) replace the narrow Rediscover-fallback reuse; same projection so the Go layer still converts directly. (Aliased + fully-qualified the UNION arms — sqlc merges UNION scopes, so unqualified user_id was ambiguous across the three like tables.) Test: 12 liked TRACKS by distinct artists, no artist-likes → the artist row now fills from their artists (was empty before). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-11 23:55:08 -04:00
bvandeusenandClaude Opus 4.8	26c368c35e	fix(recommendation): use type conversion for fallback rows (staticcheck S1016) ... golangci-lint v2 (CI-only; local is v1) flagged the field-by-field struct literals — the fallback and you-might-like row types are identical, so convert directly instead. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-11 23:26:35 -04:00
bvandeusenandClaude Opus 4.8	36786defd1	feat(recommendation): fall back to liked entities when You-might-like is thin (#790) ... The taste roll-up surfaces top-similar albums/artists, which for a heavy listener are mostly ones they already play — so the read-time dedup (vs Most Played + Rediscover + Last Played) can strip the section down to a single tile (reported on the artists row). The code was sound; the section was just starved. Adds a read-time fallback: when a You-might-like row comes up short after dedup, top it up from the user's LIKED artists/albums — a far larger pool than the 12-entity similarity roll-up, so the same exclusions still leave plenty. Reuses the existing Rediscover-fallback queries (no new SQL), applies the same exclusions (already-shown + Rediscover + Most/Last Played) so it never duplicates a tile or suggests an actively-played entity, and is best-effort (a query error leaves the section as-is). Takes effect immediately — no rebuild. A cold-start user with no likes gets nothing from the fallback, so the new-user-empty behaviour is preserved (test still passes). Test: 20 liked artists, none played → Rediscover fills 10, You-might-like fallback fills the other 10, disjoint. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-11 23:24:21 -04:00
bvandeusenandClaude Opus 4.8	aff346c731	feat(taste): phase 2a — apply the taste profile via a TasteMatch scoring term (#796) ... The profile built in phase 1 now changes what gets surfaced. Adds a TasteMatch term to the weighted-shuffle score so candidates are re-ranked by their fit to the user's learned taste (positive draws toward it; negative reflects passive avoidance; 0 at cold start). - recommendation/score.go: ScoringInputs.TasteMatchScore ([-1,+1]) + ScoringWeights.TasteWeight + the term in Score. - recommendation/taste.go: LoadTasteProfile reads the taste_profile_* tables; TasteProfile.Match blends the candidate's artist weight (0.7) and avg genre-tag weight (0.3), each tanh-squashed by a fixed scale so one outlier artist can't compress the rest. Unknown artist/tags and empty profiles → 0 (neutral). - candidates.go: both candidate loaders set TasteMatchScore per candidate, so every Score caller (system playlists incl. You-might-like, radio) becomes taste-aware automatically. - weights: systemMixWeights.TasteWeight = 1.5 (daily mixes are the primary taste surface); config.RecommendationConfig gains taste_weight (default 1.0, lighter — radio is seed-directed) wired into the radio handler. - tests: pure (Match curve incl. saturation/clamp/empty-neutral, Score term add+subtract) + DB round-trip (seed taste rows → Match positive). All green vs real Postgres; existing playlist/radio tests unaffected (empty profile → zero taste effect). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-11 21:29:42 -04:00
bvandeusenandClaude Opus 4.8	fdd14ef04c	feat(server): "You might like" album/artist Home rows (#790) ... 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>	2026-06-11 19:33:46 -04:00
bvandeusen	8b586c2e50	feat(recommendation): rework Rediscover - track-derived eligibility + daily rotation + caps ... 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).	2026-06-01 00:57:40 -04:00
bvandeusenandClaude Opus 4.7	461c6bf514	fix(go): collapse struct-literal copies to type conversions (S1016) ... staticcheck S1016 in the new golangci-lint v2 flagged four sites copying field-by-field between two types with identical struct shapes. Direct type conversion is the canonical form: - internal/library/scanrun.go: - LibraryStageTallies copy from Stats → LibraryStageTallies(lastStats) - MBIDBackfillStageTallies copy from BackfillMBIDsResult → MBIDBackfillStageTallies(lastRes) - internal/recommendation/home.go: - dbq.ListRediscoverAlbumsForUserRow copy from the Fallback row type → dbq.ListRediscoverAlbumsForUserRow(r) - Same pattern for the Artists rediscover pair. No behavior change; the underlying struct shapes are identical (staticcheck verified the conversion is valid). Net -18 +4 lines. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-20 15:23:39 -04:00
bvandeusenandClaude Opus 4.7	302a15a209	test(recommendation): fix mislabeled compile-time assert in home tests ... Replaces var _ = func() pgtype.UUID { ... } with var _ map[pgtype.UUID]struct{} which actually verifies map-key comparability, matching the comment. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-01 17:54:40 -04:00
bvandeusenandClaude Sonnet 4.6	d25b1f9291	feat(recommendation): add HomeData composite service for /api/home ... Runs five SQL queries in parallel (recently added albums, most played tracks, last played artists, rediscover albums, rediscover artists) via goroutines with mutex-guarded first-error capture. Rediscover sections merge primary + fallback results, de-duping by pgtype.UUID map key. All HomePayload slices are non-nil so the API handler encodes [] not null. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-05-01 09:06:43 -04:00
bvandeusenandClaude Opus 4.7	277898a49a	feat(recommendation): SuggestArtists service for M5c ... 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>	2026-05-01 06:20:02 -04:00
bvandeusenandClaude Opus 4.7	937a1930ad	test: add dbtest.ResetDB helper that preserves admin user ... Integration tests previously TRUNCATEd the users table at setup, which wiped the operator's admin login every time the suite ran against a Postgres instance shared with their dev environment. This commit: - Adds internal/dbtest/reset.go exposing ResetDB(t, pool) and TestUserPrefix. ResetDB truncates every data table EXCEPT users, then deletes only users whose username starts with TestUserPrefix. - Migrates 9 test files (subsonic/scrobble, subsonic/star, recommendation/candidates, scrobble/queue, similarity/worker, playevents/writer, playsessions/service, api/auth, api/me) to call ResetDB instead of issuing TRUNCATE-with-users. - Renames hardcoded test usernames to use TestUserPrefix so ResetDB cleans them between runs. seedUser in api/auth_test now prefixes internally; existing call sites pass bare names. - Leaves auth/bootstrap_test.go alone — it legitimately tests first-time admin bootstrap and must wipe users. Verified locally: full integration suite with -p 1 runs cleanly under the existing MINSTREL_TEST_DATABASE_URL setup, and the admin row in the shared dev DB survives the run. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-29 11:55:06 -04:00
bvandeusen	b8e3019654	fix(db): split seed_info CTE so similar-artist works without seed genre ... 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.	2026-04-29 08:43:42 -04:00
bvandeusenandClaude Sonnet 4.6	51811c9d35	feat(recommendation): add LoadCandidatesFromSimilarity (5-source candidate pool) ... Implements M4c's similarity-driven candidate pool: CandidateSourceLimits, DefaultCandidateSourceLimits, and LoadCandidatesFromSimilarity consuming LoadRadioCandidatesV2 (5-way UNION + max-score dedup). Adds 10 integration tests covering all sources, exclusions, dedup, and edge cases. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-29 08:30:53 -04:00
bvandeusen	bb3f911761	feat(recommendation): extend Score with SimilarityScore + SimilarityWeight	2026-04-29 08:01:53 -04:00
bvandeusenandClaude Opus 4.7	95d68e3d3d	feat: M3.5 polish — genre splitting + radio button surface ... Two carry-overs from M3 verification, bundled with the search-input fix already on dev (b7a59a9). 1. Genre splitting in BuildSessionVector The library has many tracks whose genre tag is a denormalized multi-genre string ("Indie Pop; Pop; Alternative Pop"). Reading them as one opaque tag means a single-genre "Pop" track and a multi-genre track listing Pop both fail to share the Pop key, so the tags axis in similarity scoring (weight 0.7!) returned 0 in nearly all cases on real libraries. Result: contextual scoring couldn't differentiate. Add splitGenres() that splits on ; and , and trims whitespace; strings without a delimiter come back as a single-element slice (so the existing single-genre cases keep working unchanged). Concatenated-without-separator output ("ElectronicComplextroGlitch Hop") stays opaque — that needs a genre dictionary, out of scope. 2. Play-radio button on TrackRow playRadio() was only wired to the click handler on /search and /search/tracks, leaving /library/liked, album pages, and search results' inner clicks with no way to start a radio. Adds a small radio button to TrackRow (between LikeButton and the +queue button). Click → playRadio(track.id), with stopPropagation so the row's own activate handler doesn't also fire. Tests: - 3 new sessionvector tests: TestSplitGenres, multi-genre semicolon split, no-separator stays opaque. Existing single-genre tests pass unchanged. - 1 new TrackRow test: radio button calls playRadio with track id and does NOT trigger row play. Verified locally: go -short -race ./... clean, golangci-lint clean, svelte-check 0/0, 175 vitest tests (was 174), web build succeeds. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-27 23:50:00 -04:00
bvandeusen	ad56eb279f	style(recommendation): drop trailing comments that gofmt-1.23 wants aligned ... CI's golangci-lint (`gofmt -s`) on Go 1.23 flagged inline comments after the SessionVector literals in TestContextualMatchScore_TakesMax because the variable-length values produced misaligned trailing columns. Local gofmt on Go 1.26 was lenient. Replace with a leading comment that covers all three rows; same intent, no alignment dance.	2026-04-27 22:41:24 -04:00
bvandeusenandClaude Opus 4.7	541698a8b1	test(recommendation): check LoadCandidates errors in new contextual tests ... Code review caught four tests using `got, _` to discard load errors. A DB failure would have surfaced as a misleading "wrong score" assertion rather than a clear "load failed" message. Match the t.Fatalf pattern used by the other LoadCandidates tests in this file. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-27 20:51:55 -04:00
bvandeusenandClaude Sonnet 4.6	5b79aa1047	feat(recommendation): LoadCandidates computes per-candidate ContextualMatchScore ... Adds a 6th argument (currentVector SessionVector) to LoadCandidates, bulk-fetches the user's active contextual_likes in one query, and sets ContextualMatchScore on each candidate's ScoringInputs via max-similarity over that candidate's like vectors. Adds helper + 6 integration tests covering no-likes, single match, multi-like max, soft-delete filtering, seed-like filtering, and seed-current short-circuit. Adds contextual_likes to the TRUNCATE list in testPool to prevent cross-test leakage. internal/api/radio.go is intentionally left broken (Task 6 fixes it). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-04-27 20:41:55 -04:00
bvandeusen	49871ba06d	feat(recommendation): extend Score with ContextualMatchScore + ContextWeight	2026-04-27 20:31:54 -04:00
bvandeusen	347884bc2b	feat(recommendation): add ContextualMatchScore (max over non-seed likes)	2026-04-27 20:20:53 -04:00
bvandeusen	a7211aacff	feat(recommendation): add pure Similarity function with weighted Jaccard	2026-04-27 20:04:35 -04:00
bvandeusen	627b7d1be5	feat(recommendation): add BuildSessionVector pure function ... Pure aggregation per spec §6: Seed flag (true when prior < 3), deduplicated Artists ordered by first appearance, Tags bag-of-counts from tracks.genre (empty genres skipped), RecentTrackIDs preserving input order. JSON round-trip verified.	2026-04-27 11:17:11 -04:00
bvandeusen	d43d8df6d5	feat(db): add session-vector capture queries; LikeTrack returns row count ... ListRecentSessionTracks + UpdatePlayEventVector for the vector capture path inside RecordPlayStarted. LikeTrack switches to :execrows so the contextual-likes capture can detect insert vs already-exists. Existing callers updated to ignore the count for now; later tasks consume it.	2026-04-27 11:16:05 -04:00