Files
beets/beetsplug/chroma.py
ShimmerGlass 1242f42b37 feat(chroma): add chromasearch command
This command lets user search the database by chromaprint fingerprint
similarity.
Database item fingerprints are computed on the fly if needed.
This is useful for example to check if an unknown / untagged audio file
already exists in the database.
2026-04-04 15:03:42 +02:00

494 lines
16 KiB
Python

# This file is part of beets.
# Copyright 2016, Adrian Sampson.
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
"""Adds Chromaprint/Acoustid acoustic fingerprinting support to the
autotagger. Requires the pyacoustid library.
"""
from __future__ import annotations
import heapq
import re
from collections import defaultdict
from functools import cached_property, partial
from typing import TYPE_CHECKING
import acoustid
import confuse
from beets import config, ui, util
from beets.autotag.distance import Distance
from beets.metadata_plugins import MetadataSourcePlugin
from beets.util.color import colorize
from beetsplug.musicbrainz import MusicBrainzPlugin
if TYPE_CHECKING:
from collections.abc import Iterable, Iterator
from beets.autotag.hooks import TrackInfo
from beets.library.models import Item
API_KEY = "1vOwZtEn"
SCORE_THRESH = 0.5
TRACK_ID_WEIGHT = 10.0
COMMON_REL_THRESH = 0.6 # How many tracks must have an album in common?
MAX_RECORDINGS = 5
MAX_RELEASES = 5
# Stores the Acoustid match information for each track. This is
# populated when an import task begins and then used when searching for
# candidates. It maps audio file paths to (recording_ids, release_ids)
# pairs. If a given path is not present in the mapping, then no match
# was found.
_matches = {}
# Stores the fingerprint and Acoustid ID for each track. This is stored
# as metadata for each track for later use but is not relevant for
# autotagging.
_fingerprints = {}
_acoustids = {}
def prefix(it, count):
"""Truncate an iterable to at most `count` items."""
for i, v in enumerate(it):
if i >= count:
break
yield v
def releases_key(release, countries, original_year):
"""Used as a key to sort releases by date then preferred country"""
date = release.get("date")
if date and original_year:
year = date.get("year", 9999)
month = date.get("month", 99)
day = date.get("day", 99)
else:
year = 9999
month = 99
day = 99
# Uses index of preferred countries to sort
country_key = 99
if release.get("country"):
for i, country in enumerate(countries):
if country.match(release["country"]):
country_key = i
break
return (year, month, day, country_key)
def acoustid_match(log, path):
"""Gets metadata for a file from Acoustid and populates the
_matches, _fingerprints, and _acoustids dictionaries accordingly.
"""
try:
duration, fp = acoustid.fingerprint_file(util.syspath(path))
except acoustid.FingerprintGenerationError as exc:
log.error(
"fingerprinting of {} failed: {}",
util.displayable_path(repr(path)),
exc,
)
return None
fp = fp.decode()
_fingerprints[path] = fp
try:
res = acoustid.lookup(
API_KEY, fp, duration, meta="recordings releases", timeout=10
)
except acoustid.AcoustidError as exc:
log.debug(
"fingerprint matching {} failed: {}",
util.displayable_path(repr(path)),
exc,
)
return None
log.debug("chroma: fingerprinted {}", util.displayable_path(repr(path)))
# Ensure the response is usable and parse it.
if res["status"] != "ok" or not res.get("results"):
log.debug("no match found")
return None
result = res["results"][0] # Best match.
if result["score"] < SCORE_THRESH:
log.debug("no results above threshold")
return None
_acoustids[path] = result["id"]
# Get recording and releases from the result
if not result.get("recordings"):
log.debug("no recordings found")
return None
recording_ids = []
releases = []
for recording in result["recordings"]:
recording_ids.append(recording["id"])
if "releases" in recording:
releases.extend(recording["releases"])
# The releases list is essentially in random order from the Acoustid lookup
# so we optionally sort it using the match.preferred configuration options.
# 'original_year' to sort the earliest first and
# 'countries' to then sort preferred countries first.
country_patterns = config["match"]["preferred"]["countries"].as_str_seq()
countries = [re.compile(pat, re.I) for pat in country_patterns]
original_year = config["match"]["preferred"]["original_year"]
releases.sort(
key=partial(
releases_key, countries=countries, original_year=original_year
)
)
release_ids = [rel["id"] for rel in releases]
log.debug(
"matched recordings {} on releases {}", recording_ids, release_ids
)
_matches[path] = recording_ids, release_ids
# Plugin structure and autotagging logic.
def _all_releases(items):
"""Given an iterable of Items, determines (according to Acoustid)
which releases the items have in common. Generates release IDs.
"""
# Count the number of "hits" for each release.
relcounts = defaultdict(int)
for item in items:
if item.path not in _matches:
continue
_, release_ids = _matches[item.path]
for release_id in release_ids:
relcounts[release_id] += 1
for release_id, count in relcounts.items():
if float(count) / len(items) > COMMON_REL_THRESH:
yield release_id
class AcoustidPlugin(MetadataSourcePlugin):
def __init__(self):
super().__init__()
self.config.add(
{
"auto": True,
}
)
config["acoustid"]["apikey"].redact = True
if self.config["auto"]:
self.register_listener("import_task_start", self.fingerprint_task)
self.register_listener("import_task_apply", apply_acoustid_metadata)
@cached_property
def mb(self) -> MusicBrainzPlugin:
return MusicBrainzPlugin()
def fingerprint_task(self, task, session):
return fingerprint_task(self._log, task, session)
def track_distance(self, item, info):
dist = Distance()
if item.path not in _matches or not info.track_id:
# Match failed or no track ID.
return dist
recording_ids, _ = _matches[item.path]
dist.add_expr("track_id", info.track_id not in recording_ids)
return dist
def candidates(self, items, artist, album, va_likely):
albums = []
for relid in prefix(_all_releases(items), MAX_RELEASES):
album = self.mb.album_for_id(relid)
if album:
albums.append(album)
self._log.debug("acoustid album candidates: {}", len(albums))
return albums
def item_candidates(self, item, artist, title) -> Iterable[TrackInfo]:
if item.path not in _matches:
return []
recording_ids, _ = _matches[item.path]
tracks = []
for recording_id in prefix(recording_ids, MAX_RECORDINGS):
track = self.mb.track_for_id(recording_id)
if track:
tracks.append(track)
self._log.debug("acoustid item candidates: {}", len(tracks))
return tracks
def album_for_id(self, *args, **kwargs):
# Lookup by fingerprint ID does not make too much sense.
return None
def track_for_id(self, *args, **kwargs):
# Lookup by fingerprint ID does not make too much sense.
return None
def commands(self):
submit_cmd = ui.Subcommand(
"submit", help="submit Acoustid fingerprints"
)
def submit_cmd_func(lib, opts, args):
try:
apikey = config["acoustid"]["apikey"].as_str()
except confuse.NotFoundError:
raise ui.UserError("no Acoustid user API key provided")
submit_items(self._log, apikey, lib.items(args))
submit_cmd.func = submit_cmd_func
fingerprint_cmd = ui.Subcommand(
"fingerprint", help="generate fingerprints for items without them"
)
def fingerprint_cmd_func(lib, opts, args):
for item in lib.items(args):
fingerprint_item(self._log, item, write=ui.should_write())
fingerprint_cmd.func = fingerprint_cmd_func
return [submit_cmd, fingerprint_cmd, self.chromasearch_cmd()]
def chromasearch_cmd(self):
cmd = ui.Subcommand(
"chromasearch", help="search local database by chroma fingerprint"
)
cmd.parser.add_path_option()
cmd.parser.add_format_option()
cmd.parser.add_option(
"-s",
"--search",
dest="search",
action="store",
help="Fingerprint to search for (from the output of fpcalc -plain)",
)
cmd.parser.add_option(
"-c",
"--count",
dest="count",
action="store",
default=5,
type=int,
help="Number of items in result",
)
cmd.parser.add_option(
"--full",
dest="full",
action="store_true",
help="Don't stop searching once we found an exact match",
)
cmd.parser.add_option(
"-w",
"--write",
dest="write",
action="store_true",
help="Write computed fingerprints to files",
)
def search_cmd_func(lib, opts, args):
if not opts.search:
raise ui.UserError("no --search provided")
if opts.count <= 0:
raise ui.UserError("--count must be > 0")
target = (0, opts.search.encode("utf-8"))
top = TopN(opts.count)
for item in lib.items(args):
fp = fingerprint_item(
self._log,
item,
write=ui.should_write(opts.write),
quiet=True,
)
if fp is None:
self._log.warning(f"{item}: could not compute fingerprint")
continue
score = acoustid.compare_fingerprints(
target, (0, fp.encode("utf-8"))
)
if score == 1 and not opts.full:
ui.print_(
f"{colorize('text_success', 'Found exact match')}: {item}"
)
return
if score > 0:
top.add(ScoredItem(item, score))
for item in top:
ui.print_(str(item))
cmd.func = search_cmd_func
return cmd
# Hooks into import process.
def fingerprint_task(log, task, session):
"""Fingerprint each item in the task for later use during the
autotagging candidate search.
"""
items = task.items if task.is_album else [task.item]
for item in items:
acoustid_match(log, item.path)
def apply_acoustid_metadata(task, session):
"""Apply Acoustid metadata (fingerprint and ID) to the task's items."""
for item in task.imported_items():
if item.path in _fingerprints:
item.acoustid_fingerprint = _fingerprints[item.path]
if item.path in _acoustids:
item.acoustid_id = _acoustids[item.path]
# UI commands.
def submit_items(log, userkey, items, chunksize=64):
"""Submit fingerprints for the items to the Acoustid server."""
data = [] # The running list of dictionaries to submit.
def submit_chunk():
"""Submit the current accumulated fingerprint data."""
log.info("submitting {} fingerprints", len(data))
try:
acoustid.submit(API_KEY, userkey, data, timeout=10)
except acoustid.AcoustidError as exc:
log.warning("acoustid submission error: {}", exc)
del data[:]
for item in items:
fp = fingerprint_item(log, item, write=ui.should_write())
# Construct a submission dictionary for this item.
item_data = {
"duration": int(item.length),
"fingerprint": fp,
}
if item.mb_trackid:
item_data["mbid"] = item.mb_trackid
log.debug("submitting MBID")
else:
item_data.update(
{
"track": item.title,
"artist": item.artist,
"album": item.album,
"albumartist": item.albumartist,
"year": item.year,
"trackno": item.track,
"discno": item.disc,
}
)
log.debug("submitting textual metadata")
data.append(item_data)
# If we have enough data, submit a chunk.
if len(data) >= chunksize:
submit_chunk()
# Submit remaining data in a final chunk.
if data:
submit_chunk()
def fingerprint_item(log, item, write=False, quiet=False):
"""Get the fingerprint for an Item. If the item already has a
fingerprint, it is not regenerated. If fingerprint generation fails,
return None. If the items are associated with a library, they are
saved to the database. If `write` is set, then the new fingerprints
are also written to files' metadata.
"""
# Get a fingerprint and length for this track.
if not item.length:
log.info("{.filepath}: no duration available", item)
elif item.acoustid_fingerprint:
if not quiet:
if write:
log.info("{.filepath}: fingerprint exists, skipping", item)
else:
log.info("{.filepath}: using existing fingerprint", item)
return item.acoustid_fingerprint
else:
log.info("{.filepath}: fingerprinting", item)
try:
_, fp = acoustid.fingerprint_file(util.syspath(item.path))
item.acoustid_fingerprint = fp.decode()
if write:
log.info("{.filepath}: writing fingerprint", item)
item.try_write()
if item._db:
item.store()
return item.acoustid_fingerprint
except acoustid.FingerprintGenerationError as exc:
log.info("fingerprint generation failed: {}", exc)
# Classes for search.
class ScoredItem:
def __init__(self, item: Item, score: float):
self.item = item
self.score = score
def __lt__(self, other):
return self.score < other.score
def __gt__(self, other):
return self.score > other.score
def __str__(self):
percent = f"{round(self.score * 100, 2)}%".rjust(6)
if self.score >= 0.95:
percent = colorize("text_success", percent)
elif self.score >= 0.85:
percent = colorize("text_warning", percent)
else:
percent = colorize("text_error", percent)
return f"[{percent}] {self.item}"
class TopN:
def __init__(self, n: int):
self.n = n
self.heap: list[ScoredItem] = []
def add(self, value: ScoredItem):
if len(self.heap) < self.n:
heapq.heappush(self.heap, value)
else:
if value > self.heap[0]:
heapq.heapreplace(self.heap, value)
def __iter__(self) -> Iterator[ScoredItem]:
return iter(sorted(self.heap, reverse=True))