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"""AcoustID audio-fingerprint identification for MusicBrainz enrichment.

A flat MusicBrainz *text* search ties every take of a song at the same score —
studio, a dozen live bootlegs, and every compilation — so "AC/DC — Highway to
Hell" returns junk (see lib/mb_match.py's canonical re-ranking, which mitigates
it). The definitive fix is content-based: fingerprint the actual audio with
Chromaprint (`fpcalc`) and look it up on AcoustID, which maps the fingerprint
straight to the *exact* MusicBrainz recording — the same approach Lidarr uses.

This module is the PURE half (no network, no subprocess): response parsing +
config gating, so it is unit-testable in isolation. server.py owns the `fpcalc`
subprocess and the throttled HTTP GET to api.acoustid.org.

Operational requirements (both optional — absent ⇒ this path is a graceful
no-op and the text matcher still runs):
* `fpcalc` (Chromaprint) on PATH or at $FPCALC — generates the fingerprint.
* an AcoustID application API key in $ACOUSTID_API_KEY — free from
https://acoustid.org/new-application ; AcoustID etiquette limits to ~3 req/s.
"""

import os

ACOUSTID_API_ROOT = "https://api.acoustid.org/v2"

# The `meta` fields we ask AcoustID to return so a hit resolves to displayable
# metadata without a second MusicBrainz round-trip. SPACE-separated, not
# `+`-joined: a literal `+` in the value gets percent-encoded to %2B, which
# AcoustID does NOT split into flags — it then attaches no recording metadata
# and every hit comes back empty (verified: `+` → 0 recordings, space → 28).
# `releases` is what carries the per-release DATE (nested under each
# releasegroup), which we need to pick the earliest original album + fill year.
LOOKUP_META = "recordings releasegroups releases compress"

# Mirror mb_match._SECONDARY_SKIP: release-group secondary types that mark a
# non-canonical (live/comp/remix) release, so we can flag the studio take.
_SECONDARY_SKIP = {
"live", "compilation", "remix", "dj-mix", "mixtape/street",
"demo", "interview", "audiobook", "spokenword",
}


def api_key(explicit: str | None = None) -> str:
"""The AcoustID application API key: an explicit value (e.g. a host setting)
wins, else $ACOUSTID_API_KEY, else "" (⇒ fingerprinting disabled)."""
return (explicit or os.environ.get("ACOUSTID_API_KEY") or "").strip()


def is_configured(explicit_key: str | None = None) -> bool:
"""True when an API key is available. `fpcalc` presence is checked by
server.py (it owns the binary lookup); both are required to actually run."""
return bool(api_key(explicit_key))


def _rg_is_studio(rg: dict) -> bool:
if str(rg.get("type", "")).lower() != "album":
return False
secs = {str(s).lower() for s in (rg.get("secondarytypes") or [])}
return not (secs & _SECONDARY_SKIP)


def _rg_earliest_year(rg: dict) -> "int | None":
"""Earliest release YEAR in a release-group (min over its nested releases'
dates). None when no release carries a date. This is what separates the
original pressing from later reissues/comps sharing the same group."""
years = []
for rel in (rg.get("releases") or []):
d = (rel or {}).get("date")
if isinstance(d, dict) and d.get("year"):
try:
years.append(int(d["year"]))
except (TypeError, ValueError):
pass
return min(years) if years else None


def _best_group(recording: dict) -> dict:
"""Pick the display album: a clean studio Album first, and among those the
EARLIEST-released one — the original, not a later reissue or a compilation
that happens to be typed 'Album' (e.g. a soundtrack). This is what pulls
"Machine Head" ahead of a later comp for "Smoke on the Water". Falls back to
the first group when nothing is a studio album or nothing carries a date."""
groups = [g for g in (recording.get("releasegroups") or []) if isinstance(g, dict)]
if not groups:
return {}

def sort_key(g):
yr = _rg_earliest_year(g)
# studio (0) before non-studio (1); then earliest year (undated last).
return (0 if _rg_is_studio(g) else 1, yr if yr is not None else 9999)

return sorted(groups, key=sort_key)[0]


def _first_artist(recording: dict) -> str:
for a in (recording.get("artists") or []):
if isinstance(a, dict) and a.get("name"):
return str(a["name"])
return ""


def parse_lookup_response(body: dict) -> list[dict]:
"""Normalize an AcoustID /v2/lookup response into the same flat candidate
shape as mb_match (recording_id / title / artist / album / year / duration /
studio / mb_score / score), so the review UI and the editor's Match popup
render fingerprint hits and text hits identically. `mb_score` carries the
AcoustID confidence (0-100) — a fingerprint hit is high-signal by nature."""
if not isinstance(body, dict) or body.get("status") != "ok":
return []
out: list[dict] = []
seen: set[str] = set()
for result in (body.get("results") or []):
if not isinstance(result, dict):
continue
try:
score = float(result.get("score") or 0.0)
except (TypeError, ValueError):
score = 0.0
for rec in (result.get("recordings") or []):
if not isinstance(rec, dict) or not rec.get("id"):
continue
rid = str(rec["id"])
if rid in seen:
continue
seen.add(rid)
rg = _best_group(rec)
_yr = _rg_earliest_year(rg)
year = str(_yr) if _yr else ""
dur = rec.get("duration")
try:
duration = int(round(float(dur))) if dur else None
except (TypeError, ValueError):
duration = None
out.append({
"recording_id": rid,
"title": str(rec.get("title", "") or ""),
"artist": _first_artist(rec),
"album": str(rg.get("title", "") or ""),
"year": year,
"duration": duration,
"isrc": "",
"genres": [],
"studio": _rg_is_studio(rg),
"acoustid_score": round(score, 4),
# Fingerprint hits are content-verified, not text-guessed — carry
# the AcoustID confidence as the display score band.
"mb_score": int(round(score * 100)),
"score": round(score, 4),
"source": "acoustid",
})
# Best AcoustID confidence first; studio take breaks ties.
out.sort(key=lambda c: (c["acoustid_score"], 1 if c["studio"] else 0), reverse=True)
return out
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