forked from rc/aircox
183 lines
5.6 KiB
Python
Executable File
183 lines
5.6 KiB
Python
Executable File
"""
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Analyse and check files using Sox, prints good and bad files.
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"""
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import sys
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import logging
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import re
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import subprocess
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from argparse import RawTextHelpFormatter
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from django.core.management.base import BaseCommand, CommandError
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logger = logging.getLogger('aircox.commands')
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class Stats:
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attributes = [
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'DC offset', 'Min level', 'Max level',
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'Pk lev dB', 'RMS lev dB', 'RMS Pk dB',
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'RMS Tr dB', 'Flat factor', 'Length s',
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]
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def __init__(self, path, **kwargs):
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"""
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If path is given, call analyse with path and kwargs
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"""
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self.values = {}
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if path:
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self.analyse(path, **kwargs)
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def get(self, attr):
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return self.values.get(attr)
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def parse(self, output):
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for attr in Stats.attributes:
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value = re.search(attr + r'\s+(?P<value>\S+)', output)
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value = value and value.groupdict()
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if value:
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try:
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value = float(value.get('value'))
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except ValueError:
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value = None
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self.values[attr] = value
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self.values['length'] = self.values['Length s']
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def analyse(self, path, at=None, length=None):
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"""
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If at and length are given use them as excerpt to analyse.
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"""
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args = ['sox', path, '-n']
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if at is not None and length is not None:
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args += ['trim', str(at), str(length)]
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args.append('stats')
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p = subprocess.Popen(args, stdout=subprocess.PIPE,
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stderr=subprocess.PIPE)
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# sox outputs to stderr (my god WHYYYY)
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out_, out = p.communicate()
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self.parse(str(out, encoding='utf-8'))
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#class SoundFile:
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# path = None
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# sample_rate = None
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# length = None
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class Sound:
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path = None # file path
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sample_length = 120 # default sample length in seconds
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stats = None # list of samples statistics
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bad = None # list of bad samples
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good = None # list of good samples
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def __init__(self, path, sample_length=None):
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self.path = path
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self.sample_length = sample_length if sample_length is not None \
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else self.sample_length
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def get_file_stats(self):
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return self.stats and self.stats[0]
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def analyse(self):
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logger.info('complete file analysis')
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self.stats = [Stats(self.path)]
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position = 0
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length = self.stats[0].get('length')
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if not self.sample_length:
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return
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logger.info('start samples analysis...')
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while position < length:
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stats = Stats(self.path, at=position, length=self.sample_length)
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self.stats.append(stats)
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position += self.sample_length
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def check(self, name, min_val, max_val):
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self.good = [index for index, stats in enumerate(self.stats)
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if min_val <= stats.get(name) <= max_val]
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self.bad = [index for index, stats in enumerate(self.stats)
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if index not in self.good]
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self.resume()
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def resume(self):
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def view(array): return [
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'file' if index is 0 else
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'sample {} (at {} seconds)'.format(
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index, (index-1) * self.sample_length)
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for index in array
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]
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if self.good:
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logger.info(self.path + ' -> good: \033[92m%s\033[0m',
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', '.join(view(self.good)))
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if self.bad:
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logger.info(self.path + ' -> bad: \033[91m%s\033[0m',
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', '.join(view(self.bad)))
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class Command (BaseCommand):
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help = __doc__
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sounds = None
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def add_arguments(self, parser):
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parser.formatter_class = RawTextHelpFormatter
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parser.add_argument(
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'files', metavar='FILE', type=str, nargs='+',
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help='file(s) to analyse'
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)
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parser.add_argument(
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'-s', '--sample_length', type=int, default=120,
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help='size of sample to analyse in seconds. If not set (or 0), does'
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' not analyse by sample',
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)
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parser.add_argument(
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'-a', '--attribute', type=str,
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help='attribute name to use to check, that can be:\n' +
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', '.join(['"{}"'.format(attr) for attr in Stats.attributes])
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)
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parser.add_argument(
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'-r', '--range', type=float, nargs=2,
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help='range of minimal and maximal accepted value such as: '
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'--range min max'
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)
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parser.add_argument(
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'-i', '--resume', action='store_true',
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help='print a resume of good and bad files'
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)
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def handle(self, *args, **options):
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# parameters
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minmax = options.get('range')
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if not minmax:
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raise CommandError('no range specified')
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attr = options.get('attribute')
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if not attr:
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raise CommandError('no attribute specified')
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# sound analyse and checks
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self.sounds = [Sound(path, options.get('sample_length'))
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for path in options.get('files')]
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self.bad = []
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self.good = []
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for sound in self.sounds:
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logger.info('analyse ' + sound.path)
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sound.analyse()
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sound.check(attr, minmax[0], minmax[1])
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if sound.bad:
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self.bad.append(sound)
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else:
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self.good.append(sound)
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# resume
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if options.get('resume'):
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for sound in self.good:
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logger.info('\033[92m+ %s\033[0m', sound.path)
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for sound in self.bad:
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logger.info('\033[91m+ %s\033[0m', sound.path)
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