""" Import one or more playlist for the given sound. Attach it to the sound or to the related Diffusion if wanted. We support different formats: - plain text: a track per line, where columns are separated with a '{settings.AIRCOX_IMPORT_PLAYLIST_PLAIN_DELIMITER}'. The order of the elements is: {settings.AIRCOX_IMPORT_PLAYLIST_PLAIN_COLS} - csv: CSV file where columns are separated with a '{settings.AIRCOX_IMPORT_PLAYLIST_CSV_DELIMITER)}'. Text quote is {settings.AIRCOX_IMPORT_PLAYLIST_CSV_TEXT_QUOTE}. The order of the elements is: {settings.AIRCOX_IMPORT_PLAYLIST_CSV_COLS} If 'minutes' or 'seconds' are given, position will be expressed as timed position, instead of position in playlist. Base the format detection using file extension. If '.csv', uses CSV importer, otherwise plain text one. """ import os import csv import logging from argparse import RawTextHelpFormatter from django.core.management.base import BaseCommand, CommandError from aircox.programs.models import * import aircox.programs.settings as settings __doc__ = __doc__.format(settings) logger = logging.getLogger('aircox.tools') class Importer: type = None data = None tracks = None def __init__(self, related = None, path = None): if path: self.read(path) if related: self.make_playlist(related, True) def reset(self): self.type = None self.data = None self.tracks = None def read(self, path): if not os.path.exists(path): return True with open(path, 'r') as file: sp, *ext = os.path.splitext(path)[1] if ext[0] and ext[0] == 'csv': self.type = 'csv' self.data = csv.reader( file, delimiter = settings.AIRCOX_IMPORT_PLAYLIST_CSV_DELIMITER, quotechar = settings.AIRCOX_IMPORT_PLAYLIST_CSV_TEXT_QUOTE, ) else: self.type = 'plain' self.data = [ line.split(settings.AIRCOX_IMPORT_PLAYLIST_PLAIN_DELIMITER) for line in file.readlines() ] def __get(self, line, field, default = None): maps = settings.AIRCOX_IMPORT_CSV_COLS if field not in maps: return default index = maps.index(field) return line[index] if index < len(line) else default def make_playlist(self, related, save = False): """ Make a playlist from the read data, and return it. If save is true, save it into the database """ maps = settings.AIRCOX_IMPORT_CSV_COLS if self.type == 'csv' else \ settings.AIRCOX_IMPORT_PLAIN_COLS tracks = [] for index, line in enumerate(self.data): if ('minutes' or 'seconds') in maps: kwargs['pos_in_secs'] = True kwargs['pos'] = int(self.__get(line, 'minutes', 0)) * 60 + \ int(self.__get(line, 'seconds', 0)) else: kwargs['pos'] = index kwargs['related'] = related kwargs.update({ k: self.__get(line, k) for k in maps if k not in ('minutes', 'seconds') }) track = Track(**kwargs) # FIXME: bulk_create? if save: track.save() tracks.append(track) self.tracks = tracks return tracks class Command (BaseCommand): help= __doc__ def add_arguments (self, parser): parser.formatter_class=RawTextHelpFormatter now = tz.datetime.today() parser.add_argument( 'path', type=str, help='path of the input playlist to read' ) parser.add_argument( '--sound', '-s', type=str, help='generate a playlist for the sound of the given path. ' 'If not given, try to match a sound with the same path.' ) parser.add_argument( '--diffusion', '-d', action='store_true', help='try to get the diffusion relative to the sound if it exists' ) def handle (self, path, *args, **options): # FIXME: absolute/relative path of sounds vs given path if options.get('sound'): related = Sound.objects.filter(path__icontains = path).first() else: path, ext = os.path.splitext(options.get('path')) related = Sound.objects.filter(path__icontains = path).first() if not related: logger.error('no sound found in the database for the path ' \ '{path}'.format(path=path)) return -1 if options.get('diffusion') and related.diffusion: related = related.diffusion importer = Importer(related = related, path = path) for track in importer.tracks: logger.log('imported track at {pos}: {name}, by ' '{artist}'.format( pos = track.pos, name = track.name, artist = track.artist ) )