beets/beetsplug/chroma.py
Tai Lee e6ac8e1646 Use a Distance object instead of floats for distance calculations.
The new Distance object knows how to perform various types of distance
calculations (expression, equality, number, priority, string).

It will keep track of each individual penalty that has been applied so
that we can utilise that information in the UI and when making decisions
about the recommendation level.

We now display the top 3 penalties (sorted by weight) on the release
list (and "..." if there are more than 3), and we display all penalties
on the album info line and track change line.

The implementation of the `max_rec` setting has been simplified by
removing duplicate validation and instead looking at the penalties that
have been applied to a distance. As a result, we can now configure a
maximum recommendation for any penalty that might be applied.

We have a few new checks when calculating album distance:

`match: preferred: countries` and `match: preferred: media` can each be
set to a list of countries and media in order of your preference. These
are empty by default. A value that matches the first item will have no
penalty, and a value that doesn't match any item will have an unweighted
penalty of 1.0.

If `match: preferred: original_year` is set to "yes", beets will apply
an unweighted penalty of 1.0 for each year of difference between the
release year and the original year.

We now configure individual weights for `mediums` (disctotal), `label`,
`catalognum`, `country` and `albumdisambig` instead of a single generic
`minor` weight. This gives more control, but more importantly separates
and names the applied penalties so that the UI can convey exactly which
fields have contributed to the overall distance penalty.

Likewise, `missing tracks` and `unmatched tracks` are penalised and
displayed in the UI separately, instead of a combined `partial` penalty.

Display non-MusicBrainz source in the disambiguation string, and
"source" in the list of penalties if a release is penalised for being
a non-MusicBrainz.
2013-06-02 18:25:10 +10:00

281 lines
9.7 KiB
Python

# This file is part of beets.
# Copyright 2013, 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 beets import plugins
from beets import ui
from beets import util
from beets import config
from beets.util import confit
from beets.autotag import hooks
from beets.autotag.match import Distance
import acoustid
import logging
from collections import defaultdict
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?
log = logging.getLogger('beets')
# 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 acoustid_match(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 %s failed: %s' %
(repr(path), str(exc)))
return None
_fingerprints[path] = fp
try:
res = acoustid.lookup(API_KEY, fp, duration,
meta='recordings releases')
except acoustid.AcoustidError as exc:
log.debug('fingerprint matching %s failed: %s' %
(repr(path), str(exc)))
return None
log.debug('chroma: fingerprinted %s' % repr(path))
# Ensure the response is usable and parse it.
if res['status'] != 'ok' or not res.get('results'):
log.debug('chroma: no match found')
return None
result = res['results'][0] # Best match.
if result['score'] < SCORE_THRESH:
log.debug('chroma: no results above threshold')
return None
_acoustids[path] = result['id']
# Get recording and releases from the result.
if not result.get('recordings'):
log.debug('chroma: no recordings found')
return None
recording_ids = []
release_ids = []
for recording in result['recordings']:
recording_ids.append(recording['id'])
if 'releases' in recording:
release_ids += [rel['id'] for rel in recording['releases']]
log.debug('chroma: matched recordings {0}'.format(recording_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.iteritems():
if float(count) / len(items) > COMMON_REL_THRESH:
yield release_id
class AcoustidPlugin(plugins.BeetsPlugin):
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 _all_releases(items):
album = hooks.album_for_mbid(relid)
if album:
albums.append(album)
log.debug('acoustid album candidates: %i' % len(albums))
return albums
def item_candidates(self, item, artist, title):
if item.path not in _matches:
return []
recording_ids, _ = _matches[item.path]
tracks = []
for recording_id in recording_ids:
track = hooks.track_for_mbid(recording_id)
if track:
tracks.append(track)
log.debug('acoustid item candidates: {0}'.format(len(tracks)))
return tracks
def commands(self):
submit_cmd = ui.Subcommand('submit',
help='submit Acoustid fingerprints')
def submit_cmd_func(lib, opts, args):
try:
apikey = config['acoustid']['apikey'].get(unicode)
except confit.NotFoundError:
raise ui.UserError('no Acoustid user API key provided')
submit_items(apikey, lib.items(ui.decargs(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(ui.decargs(args)):
fingerprint_item(item, lib=lib,
write=config['import']['write'].get(bool))
fingerprint_cmd.func = fingerprint_cmd_func
return [submit_cmd, fingerprint_cmd]
# Hooks into import process.
@AcoustidPlugin.listen('import_task_start')
def fingerprint_task(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(item.path)
@AcoustidPlugin.listen('import_task_apply')
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(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 {0} fingerprints'.format(len(data)))
try:
acoustid.submit(API_KEY, userkey, data)
except acoustid.AcoustidError as exc:
log.warn(u'acoustid submission error: {}'.format(exc))
del data[:]
for item in items:
fp = fingerprint_item(item)
# 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(item, lib=None, write=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 `lib` is provided, then new fingerprints 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(u'{0}: no duration available'.format(
util.displayable_path(item.path)
))
elif item.acoustid_fingerprint:
if write:
log.info(u'{0}: fingerprint exists, skipping'.format(
util.displayable_path(item.path)
))
else:
log.info(u'{0}: using existing fingerprint'.format(
util.displayable_path(item.path)
))
return item.acoustid_fingerprint
else:
log.info(u'{0}: fingerprinting'.format(
util.displayable_path(item.path)
))
try:
_, fp = acoustid.fingerprint_file(item.path)
item.acoustid_fingerprint = fp
if write:
log.info(u'{0}: writing fingerprint'.format(
util.displayable_path(item.path)
))
item.write()
if lib:
lib.store(item)
return item.acoustid_fingerprint
except acoustid.FingerprintGenerationError as exc:
log.info(
'fingerprint generation failed: {0}'.format(exc)
)