from google.cloud import firestore import datetime import logging from spotframework.engine.playlistengine import PlaylistEngine from spotframework.engine.filter.shuffle import Shuffle from spotframework.engine.filter.sortreversereleasedate import SortReverseReleaseDate from spotframework.engine.filter.deduplicatebyid import DeduplicateByID from spotframework.net.network import Network from spotframework.net.user import User db = firestore.Client() captured_playlists = [] logger = logging.getLogger(__name__) def play_user_playlist(username, playlist_type='default', parts=None, playlists=None, shuffle=False, include_recommendations=True, recommendation_sample=10, day_boundary=10, add_this_month=False, add_last_month=False): users = [i for i in db.collection(u'spotify_users').where(u'username', u'==', username).stream()] logger.info(f'playing for {username}') if len(users) == 1: user_dict = users[0].to_dict() if parts is None and playlists is None: logger.critical(f'no playlists to use for creation ({username})') return None if parts is None: parts = [] if playlists is None: playlists = [] if len(parts) == 0 and len(playlists) == 0: logger.critical(f'no playlists to use for creation ({username})') return None spotify_keys = db.document('key/spotify').get().to_dict() net = Network(User(spotify_keys['clientid'], spotify_keys['clientsecret'], user_dict['access_token'], user_dict['refresh_token'])) engine = PlaylistEngine(net) engine.load_user_playlists() processors = [DeduplicateByID()] if shuffle: processors.append(Shuffle()) else: processors.append(SortReverseReleaseDate()) global captured_playlists captured_playlists = [] submit_parts = parts for part in playlists: submit_parts += generate_parts(users[0].id, part) submit_parts = [i for i in {j for j in submit_parts}] if playlist_type == 'recents': boundary_date = datetime.datetime.now() - datetime.timedelta(days=int(day_boundary)) tracks = engine.get_recent_playlist(boundary_date, submit_parts, processors, include_recommendations=include_recommendations, recommendation_limit=int(recommendation_sample), add_this_month=add_this_month, add_last_month=add_last_month) else: tracks = engine.make_playlist(submit_parts, processors, include_recommendations=include_recommendations, recommendation_limit=int(recommendation_sample)) net.play(uris=[i['uri'] for i in tracks]) else: logger.critical(f'multiple/no user(s) found ({username})') return None def generate_parts(user_id, name): playlist_doc = [i.to_dict() for i in db.document(u'spotify_users/{}'.format(user_id)) .collection(u'playlists') .where(u'name', '==', name).stream()][0] return_parts = playlist_doc['parts'] captured_playlists.append(name) for i in playlist_doc['playlist_references']: if i not in captured_playlists: return_parts += generate_parts(user_id, i) return return_parts