mirror of
https://github.com/beetbox/beets.git
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204 lines
7.8 KiB
Python
Executable file
204 lines
7.8 KiB
Python
Executable file
#Copyright (c) 2012, Fabrice Laporte
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#
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#Permission is hereby granted, free of charge, to any person obtaining a copy
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#of this software and associated documentation files (the "Software"), to deal
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#in the Software without restriction, including without limitation the rights
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#to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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#copies of the Software, and to permit persons to whom the Software is
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#furnished to do so, subject to the following conditions:
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#
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#The above copyright notice and this permission notice shall be included in
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#all copies or substantial portions of the Software.
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#
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#THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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#IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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#FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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#AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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#LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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#OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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#THE SOFTWARE.
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import logging
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import subprocess
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import os
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from beets import ui
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from beets.plugins import BeetsPlugin
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from beets.mediafile import MediaFile, FileTypeError, UnreadableFileError
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from beets.util import syspath
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log = logging.getLogger('beets')
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DEFAULT_REFERENCE_LOUDNESS = 89
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class RgainError(Exception):
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"""Base for exceptions in this module."""
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class RgainNoBackendError(RgainError):
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"""The audio rgain could not be computed because neither mp3gain
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nor aacgain command-line tool is installed.
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"""
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class ReplayGainPlugin(BeetsPlugin):
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'''Provides replay gain analysis for the Beets Music Manager'''
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ref_level = DEFAULT_REFERENCE_LOUDNESS
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def __init__(self):
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self.register_listener('album_imported', self.album_imported)
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self.register_listener('item_imported', self.item_imported)
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def configure(self, config):
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self.overwrite = ui.config_val(config,'replaygain',
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'overwrite', False, bool)
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self.noclip = ui.config_val(config,'replaygain',
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'noclip', True, bool)
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self.apply_gain = ui.config_val(config,'replaygain',
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'apply_gain', False, bool)
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self.albumgain = ui.config_val(config,'replaygain',
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'albumgain', False, bool)
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target_level = float(ui.config_val(config,'replaygain',
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'targetlevel', DEFAULT_REFERENCE_LOUDNESS))
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self.gain_offset = int(target_level-DEFAULT_REFERENCE_LOUDNESS)
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self.command = ui.config_val(config,'replaygain','command', None)
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if not os.path.isfile(self.command):
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raise ui.UserError('no valid rgain command filepath given')
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if not self.command:
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for cmd in ['mp3gain','aacgain']:
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proc = subprocess.Popen([cmd,'-v'])
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retcode = proc.poll()
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if not retcode:
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self.command = cmd
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if not self.command:
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raise ui.UserError('no valid rgain command found')
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def album_imported(self, lib, album, config):
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try:
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media_files = \
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[MediaFile(syspath(item.path)) for item in album.items()]
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self.write_rgain(media_files, self.compute_rgain(media_files))
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except (FileTypeError, UnreadableFileError,
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TypeError, ValueError) as e:
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log.error("failed to calculate replaygain: %s ", e)
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def item_imported(self, lib, item, config):
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try:
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mf = MediaFile(syspath(item.path))
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self.write_rgain([mf], self.compute_rgain([mf]))
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except (FileTypeError, UnreadableFileError,
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TypeError, ValueError) as e:
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log.error("failed to calculate replaygain: %s ", e)
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def requires_gain(self, mf):
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'''Does the gain need to be computed?'''
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return self.overwrite or \
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(not mf.rg_track_gain or not mf.rg_track_peak) or \
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((not mf.rg_album_gain or not mf.rg_album_peak) and \
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self.albumgain)
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def get_recommended_gains(self, media_paths):
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'''Returns recommended track and album gain values'''
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proc = subprocess.Popen([self.command,'-o','-d',str(self.gain_offset)] +
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media_paths,
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stdout=subprocess.PIPE)
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retcode = proc.poll()
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if retcode:
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raise RgainError("%s exited with status %i" %
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(self.command,retcode))
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rgain_out, _ = proc.communicate()
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rgain_out = rgain_out.strip('\n').split('\n')
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keys = rgain_out[0].split('\t')[1:]
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tracks_mp3_gain = [dict(zip(keys,
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[float(x) for x in l.split('\t')[1:]]))
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for l in rgain_out[1:-1]]
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album_mp3_gain = int(rgain_out[-1].split('\t')[1])
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return [tracks_mp3_gain, album_mp3_gain]
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def extract_rgain_infos(self, text):
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'''Extract rgain infos stats from text'''
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return [l.split('\t') for l in text.split('\n') if l.count('\t')>1][1:]
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def reduce_gain_for_noclip(self, track_gains, albumgain):
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'''Reduce albumgain value until no song is clipped.
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No command switch give you the max no-clip in album mode.
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So we consider the recommended gain and decrease it until no song is
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clipped when applying the gain.
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Formula found at:
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http://www.hydrogenaudio.org/forums/lofiversion/index.php/t10630.html
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'''
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if albumgain > 0:
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maxpcm = max([t['Max Amplitude'] for t in track_gains])
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while (maxpcm * (2**(albumgain/4.0)) > 32767):
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albumgain -= 1
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return albumgain
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def compute_rgain(self, media_files):
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'''Compute replaygain taking options into account.
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Returns filtered command stdout'''
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cmd_args = []
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media_files = [mf for mf in media_files if self.requires_gain(mf)]
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if not media_files:
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print 'No gain to compute'
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return
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media_paths = [syspath(mf.path) for mf in media_files]
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if self.albumgain:
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track_gains, album_gain = self.get_recommended_gains(media_paths)
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if self.noclip:
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self.gain_offset = self.reduce_gain_for_noclip(track_gains,
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album_gain)
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cmd = [self.command, '-o']
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if self.noclip:
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cmd = cmd + ['-k']
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else:
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cmd = cmd + ['-c']
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if self.apply_gain:
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cmd = cmd + ['-r']
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cmd = cmd + ['-d', str(self.gain_offset)]
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cmd = cmd + media_paths
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try:
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with open(os.devnull, 'w') as tempf:
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subprocess.check_call(cmd, stdout=subprocess.PIPE, stderr=tempf)
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except subprocess.CalledProcessError as e:
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raise RgainError("%s exited with status %i" % (cmd, e.returncode))
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cmd = [self.command, '-s','c','-o'] + media_paths
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proc = subprocess.Popen(cmd, stdout=subprocess.PIPE)
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if proc.poll():
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raise RgainError("%s exited with status %i" % (cmd, retcode))
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tmp = proc.communicate()[0]
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return self.extract_rgain_infos(tmp)
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def write_rgain(self, media_files, rgain_infos):
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'''Write computed gain infos for each media file'''
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for (i,mf) in enumerate(media_files):
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try:
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mf.rg_track_gain = float(rgain_infos[i][2])
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mf.rg_track_peak = float(rgain_infos[i][4])
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print('Track gains %s %s' % (mf.rg_track_gain, mf.rg_track_peak))
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mf.save()
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except (FileTypeError, UnreadableFileError, TypeError, ValueError):
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log.error("failed to write replaygain: %s" % (mf.title))
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