100 lines
3.4 KiB
Python
100 lines
3.4 KiB
Python
from google.cloud import firestore
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import datetime
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import logging
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from spotframework.engine.playlistengine import PlaylistEngine
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from spotframework.engine.filter.shuffle import Shuffle
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from spotframework.engine.filter.sort import SortReleaseDate
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from spotframework.engine.filter.deduplicate import DeduplicateByID
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from spotframework.net.network import Network
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from spotframework.net.user import NetworkUser
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import spotify.db.database as database
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from spotify.db.part_generator import PartGenerator
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db = firestore.Client()
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logger = logging.getLogger(__name__)
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def play_user_playlist(username,
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playlist_type='default',
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parts=None,
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playlists=None,
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shuffle=False,
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include_recommendations=True,
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recommendation_sample=10,
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day_boundary=10,
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add_this_month=False,
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add_last_month=False):
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users = database.get_user_query_stream(username)
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logger.info(f'playing for {username}')
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if len(users) == 1:
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user_dict = users[0].to_dict()
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if parts is None and playlists is None:
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logger.critical(f'no playlists to use for creation ({username})')
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return None
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if parts is None:
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parts = []
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if playlists is None:
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playlists = []
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if len(parts) == 0 and len(playlists) == 0:
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logger.critical(f'no playlists to use for creation ({username})')
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return None
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spotify_keys = db.document('key/spotify').get().to_dict()
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net = Network(NetworkUser(spotify_keys['clientid'],
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spotify_keys['clientsecret'],
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user_dict['access_token'],
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user_dict['refresh_token']))
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engine = PlaylistEngine(net)
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engine.load_user_playlists()
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processors = [DeduplicateByID()]
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if shuffle:
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processors.append(Shuffle())
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else:
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processors.append(SortReleaseDate(reverse=True))
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submit_parts = parts
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part_generator = PartGenerator(user_id=users[0].id)
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for part in playlists:
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submit_parts += part_generator.get_recursive_parts(part)
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submit_parts = [i for i in {j for j in submit_parts}]
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if playlist_type == 'recents':
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boundary_date = datetime.datetime.now() - datetime.timedelta(days=int(day_boundary))
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tracks = engine.get_recent_playlist(boundary_date,
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submit_parts,
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processors,
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include_recommendations=include_recommendations,
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recommendation_limit=int(recommendation_sample),
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add_this_month=add_this_month,
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add_last_month=add_last_month)
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else:
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tracks = engine.make_playlist(submit_parts,
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processors,
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include_recommendations=include_recommendations,
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recommendation_limit=int(recommendation_sample))
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net.play(uris=[i.uri for i in tracks])
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else:
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logger.critical(f'multiple/no user(s) found ({username})')
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return None
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