fix(enrichment): rank the canonical studio take over live/comp versions

A flat MusicBrainz /recording text search ties every take of a song at the
same score, so "AC/DC — Highway to Hell" returns a wall of live bootlegs and
compilations with the 1979 studio version buried (or below the fetch limit).

- build_recording_query: drop live-ONLY recordings (`-secondarytype:Live`).
  Compilations are deliberately kept — they REUSE the studio recording, so
  filtering them cuts the very recording we want (verified against MB).
- _best_release / parse_recording_doc: pick the canonical studio album
  (primary Album, no Live/Compilation/Remix/... secondary type) for the
  displayed album/year, and expose a `studio` flag.
- rank_candidates: since the combined score caps at 1.0 (perfect text match
  ties), break ties on the studio flag and — when the caller knows the audio
  length — on duration proximity, so the studio take wins over live/extended
  cuts. The studio distinction is intentionally NOT scored (a live take is
  still the right SONG), only re-ordered.
- /api/enrichment/search: accept an optional `duration` param so a caller that
  has the audio but no library row (the editor's create modal) can pass the
  master-track length for the duration tiebreak.

Verified end-to-end against live MusicBrainz: AC/DC "Highway to Hell" now
returns the 1979 studio recording at #1 with the correct album + year.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
ChrisBeWithYou
2026-07-04 05:22:24 -05:00
co-authored by Claude Opus 4.8
parent b6169af6aa
commit fc52d1f9d2
3 changed files with 75 additions and 16 deletions
+57 -10
View File
@@ -39,6 +39,14 @@ DURATION_BONUS_LOOSE = 0.025 # …within 15s
_DURATION_TIGHT = 5
_DURATION_LOOSE = 15
# Release-group secondary types that mark a NON-canonical release (a live album,
# a greatest-hits comp, a remix/DJ set, …). Used both to pick the canonical
# studio album for display and to reward studio recordings in ranking.
_SECONDARY_SKIP = {
"live", "compilation", "remix", "dj-mix", "mixtape/street",
"demo", "interview", "audiobook", "spokenword",
}
# ── Denoise ───────────────────────────────────────────────────────────────────
# A parenthetical/bracketed group is dropped when it contains any of these
# noise terms as a whole word (chart-variant markers, tuning/pitch notes,
@@ -154,6 +162,10 @@ def score_candidate(song: dict, cand: dict) -> float:
score += DURATION_BONUS
elif diff <= _DURATION_LOOSE:
score += DURATION_BONUS_LOOSE
# NB: the studio-vs-live distinction is deliberately NOT scored here — a live
# take is still the RIGHT SONG (same title/artist), so it must not change the
# auto/review confidence. Canonical-version preference lives in the RANK sort
# (rank_candidates) instead, where it only reorders same-song candidates.
return min(score, 1.0)
@@ -179,15 +191,29 @@ def classify(song: dict, cand: dict, score: float, auto_min: float | None = None
def rank_candidates(song: dict, candidates: list[dict]) -> list[dict]:
"""Score every candidate against the song and return them sorted by our
score (MusicBrainz's own search score is only a tiebreak). Each returned
dict is a copy carrying `score` (rounded — it's displayed and stored)."""
"""Score every candidate against the song and return them sorted best-first.
The combined `score` caps at 1.0, so a perfect-text-match query (every "AC/DC
Highway to Hell" recording) ties at the top — there the studio flag and, when
the caller knows the audio length, the duration match break the tie so the
canonical studio take wins over live/promo/extended cuts. Each returned dict
is a copy carrying `score` (rounded — it's displayed and stored)."""
sd = _duration_int(song.get("duration"))
def _dur_diff(c):
cd = _duration_int(c.get("duration"))
return abs(sd - cd) if (sd and cd) else 10 ** 6
ranked = []
for cand in candidates or []:
c = dict(cand)
c["score"] = round(score_candidate(song, cand), 4)
ranked.append(c)
ranked.sort(key=lambda c: (c["score"], c.get("mb_score") or 0), reverse=True)
ranked.sort(
key=lambda c: (c["score"],
1 if c.get("studio") else 0, # canonical studio take
-_dur_diff(c), # closest to the audio length
c.get("mb_score") or 0),
reverse=True)
return ranked
@@ -209,7 +235,16 @@ def build_recording_query(artist, title) -> str:
parts.append('recording:"%s"' % _lucene_escape_phrase(t))
if a:
parts.append('artist:"%s"' % _lucene_escape_phrase(a))
return " AND ".join(parts)
q = " AND ".join(parts)
# Drop live-ONLY recordings (bootlegs, live albums) — the canonical studio
# take is never tagged Live, and this is the single biggest source of junk in
# a flat recording search. Compilations are deliberately NOT excluded: they
# REUSE the studio recording, so filtering them would drop the very recording
# we want (verified against MusicBrainz — `-secondarytype:Compilation` cut the
# AC/DC studio "Highway to Hell" recording entirely).
if q:
q += " AND -secondarytype:Live"
return q
def _artist_credit(doc: dict) -> tuple[str, str, str]:
@@ -226,19 +261,29 @@ def _artist_credit(doc: dict) -> tuple[str, str, str]:
return name, str(artist.get("id", "") or ""), str(artist.get("sort-name", "") or "")
def _is_clean_studio_album(rg: dict) -> bool:
"""A release-group that is a primary-type Album with NO non-canonical
secondary type (Live / Compilation / Remix / …) — i.e. a studio album."""
if str(rg.get("primary-type", "")).lower() != "album":
return False
secs = {str(s).lower() for s in (rg.get("secondary-types") or [])}
return not (secs & _SECONDARY_SKIP)
def _best_release(doc: dict) -> dict:
"""Pick the release used for canon album/year: prefer Official status and
an Album release-group, then the earliest date. Returns {} if none."""
"""Pick the release used for canon album/year: prefer an OFFICIAL studio
Album (primary Album with no Live/Compilation/… secondary type), then the
earliest date. Falls back to any release when none is clean. {} if none."""
releases = [r for r in (doc.get("releases") or []) if isinstance(r, dict)]
if not releases:
return {}
def sort_key(r):
status_ok = 0 if str(r.get("status", "")).lower() == "official" else 1
rg = r.get("release-group") or {}
album_ok = 0 if str(rg.get("primary-type", "")).lower() == "album" else 1
clean = 0 if _is_clean_studio_album(rg) else 1
status_ok = 0 if str(r.get("status", "")).lower() == "official" else 1
date = str(r.get("date", "") or "9999")
return (status_ok, album_ok, date)
return (clean, status_ok, date)
return sorted(releases, key=sort_key)[0]
@@ -261,6 +306,7 @@ def parse_recording_doc(doc: dict) -> dict | None:
return None
artist_name, artist_id, artist_sort = _artist_credit(doc)
release = _best_release(doc)
studio = _is_clean_studio_album(release.get("release-group") or {})
length = doc.get("length")
try:
duration = int(round(float(length) / 1000.0)) if length else None
@@ -281,6 +327,7 @@ def parse_recording_doc(doc: dict) -> dict | None:
"isrc": isrcs[0] if isrcs else "",
"genres": _genres(doc),
"mb_score": int(doc.get("score") or 0),
"studio": studio,
}
+15 -5
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@@ -6235,8 +6235,11 @@ def _mb_http_get(path: str, params: dict) -> dict | None:
raise EnrichTransportError("bad JSON from musicbrainz") from e
def _mb_search_recordings(artist, title, limit: int = 8) -> list[dict]:
"""Text search (tier 24): denoised Lucene query over /recording."""
def _mb_search_recordings(artist, title, limit: int = 12) -> list[dict]:
"""Text search (tier 24): denoised Lucene query over /recording. The query
now drops live-only recordings and our ranker rewards the studio take, so a
slightly larger default result set gives the re-ranker room to surface the
canonical version (one request per song regardless of limit)."""
query = mb_match.build_recording_query(artist, title)
if not query:
return []
@@ -7413,13 +7416,16 @@ def api_enrichment_pick(filename: str, data: dict = Body(...)):
@app.get("/api/enrichment/search")
def api_enrichment_search(artist: str = "", title: str = "", limit: int = 8,
filename: str = ""):
filename: str = "", duration: float = 0.0):
"""Manual-search proxy to MusicBrainz (throttled + identified like the
background matcher a user typing in the drawer must not sidestep the
rate limit). `filename` optionally scores results against that song's
stored identity (year/duration corroboration) instead of just the typed
text. Sync route on purpose: FastAPI runs it in the threadpool, so the
throttle's sleep never blocks the event loop."""
text. `duration` (seconds) lets a caller that HAS the audio but no library
row e.g. the editor's create modal, which holds the master track — pass
its length so the studio take ranks above live/extended cuts. Sync route on
purpose: FastAPI runs it in the threadpool, so the throttle's sleep never
blocks the event loop."""
if not (artist.strip() or title.strip()):
raise HTTPException(status_code=400, detail="artist or title required")
limit = max(1, min(int(limit), 25))
@@ -7433,6 +7439,10 @@ def api_enrichment_search(artist: str = "", title: str = "", limit: int = 8,
ref = meta_db.enrichment_song_row(filename)
if ref is None:
ref = {"artist": artist, "title": title}
# A caller-supplied duration corroborates the take even without a library row.
if duration and duration > 0 and not ref.get("duration"):
ref = dict(ref)
ref["duration"] = duration
return {"candidates": mb_match.rank_candidates(ref, cands)}
+3 -1
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@@ -149,7 +149,9 @@ def test_rank_candidates_orders_by_our_score():
def test_build_recording_query_denoises_and_quotes():
q = m.build_recording_query("ACDC", 'Thunderstruck (v2)')
assert q == 'recording:"thunderstruck" AND artist:"acdc"'
# Live-only recordings are excluded — the studio take is never tagged Live,
# and it's the biggest source of junk in a flat recording search.
assert q == 'recording:"thunderstruck" AND artist:"acdc" AND -secondarytype:Live'
def test_build_recording_query_escapes_and_handles_missing_artist():