forked from rc/aircox
143 lines
4.6 KiB
Python
Executable File
143 lines
4.6 KiB
Python
Executable File
"""
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Import one or more playlist for the given sound. Attach it to the sound
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or to the related Diffusion if wanted.
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Playlists are in CSV format, where columns are separated with a
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'{settings.AIRCOX_IMPORT_PLAYLIST_CSV_DELIMITER}'. Text quote is
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{settings.AIRCOX_IMPORT_PLAYLIST_CSV_TEXT_QUOTE}.
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The order of the elements is: {settings.AIRCOX_IMPORT_PLAYLIST_CSV_COLS}
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If 'minutes' or 'seconds' are given, position will be expressed as timed
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position, instead of position in playlist.
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"""
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import os
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import csv
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import logging
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from argparse import RawTextHelpFormatter
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from django.core.management.base import BaseCommand, CommandError
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from django.contrib.contenttypes.models import ContentType
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from aircox.models import *
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import aircox.settings as settings
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__doc__ = __doc__.format(settings = settings)
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logger = logging.getLogger('aircox.tools')
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class Importer:
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data = None
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tracks = None
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def __init__(self, related = None, path = None, save = False):
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if path:
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self.read(path)
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if related:
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self.make_playlist(related, save)
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def reset(self):
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self.data = None
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self.tracks = None
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def read(self, path):
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if not os.path.exists(path):
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return True
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with open(path, 'r') as file:
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self.data = list(csv.reader(
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file,
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delimiter = settings.AIRCOX_IMPORT_PLAYLIST_CSV_DELIMITER,
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quotechar = settings.AIRCOX_IMPORT_PLAYLIST_CSV_TEXT_QUOTE,
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))
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def __get(self, line, field, default = None):
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maps = settings.AIRCOX_IMPORT_PLAYLIST_CSV_COLS
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if field not in maps:
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return default
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index = maps.index(field)
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return line[index] if index < len(line) else default
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def make_playlist(self, related, save = False):
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"""
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Make a playlist from the read data, and return it. If save is
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true, save it into the database
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"""
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maps = settings.AIRCOX_IMPORT_PLAYLIST_CSV_COLS
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tracks = []
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in_seconds = ('minutes' or 'seconds') in maps
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for index, line in enumerate(self.data):
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position = \
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int(self.__get(line, 'minutes', 0)) * 60 + \
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int(self.__get(line, 'seconds', 0)) \
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if in_seconds else index
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track, created = Track.objects.get_or_create(
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related_type = ContentType.objects.get_for_model(related),
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related_id = related.pk,
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title = self.__get(line, 'title'),
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artist = self.__get(line, 'artist'),
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position = position,
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)
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track.in_seconds = in_seconds
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track.info = self.__get(line, 'info')
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tags = self.__get(line, 'tags')
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if tags:
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track.tags.add(*tags.split(','))
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if save:
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track.save()
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tracks.append(track)
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self.tracks = tracks
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return tracks
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class Command (BaseCommand):
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help= __doc__
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def add_arguments (self, parser):
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parser.formatter_class=RawTextHelpFormatter
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now = tz.datetime.today()
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parser.add_argument(
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'path', metavar='PATH', type=str,
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help='path of the input playlist to read'
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)
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parser.add_argument(
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'--sound', '-s', type=str,
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help='generate a playlist for the sound of the given path. '
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'If not given, try to match a sound with the same path.'
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)
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parser.add_argument(
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'--diffusion', '-d', action='store_true',
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help='try to get the diffusion relative to the sound if it exists'
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)
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def handle (self, path, *args, **options):
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# FIXME: absolute/relative path of sounds vs given path
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if options.get('sound'):
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related = Sound.objects.filter(
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path__icontains = options.get('sound')
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).first()
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else:
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path, ext = os.path.splitext(options.get('path'))
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related = Sound.objects.filter(path__icontains = path).first()
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if not related:
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logger.error('no sound found in the database for the path ' \
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'{path}'.format(path=path))
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return -1
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if options.get('diffusion') and related.diffusion:
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related = related.diffusion
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importer = Importer(related = related, path = path, save = True)
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for track in importer.tracks:
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logger.info('imported track at {pos}: {title}, by '
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'{artist}'.format(
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pos = track.position,
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title = track.title, artist = track.artist
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)
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)
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