forked from platypush/platypush
228 lines
6.1 KiB
Python
228 lines
6.1 KiB
Python
from marshmallow import Schema, fields, pre_dump, post_dump
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from platypush.schemas import DateTime
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class TidalSchema(Schema):
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pass
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class TidalArtistSchema(TidalSchema):
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id = fields.String(
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required=True,
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dump_only=True,
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metadata={
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'example': '3288612',
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'description': 'Artist ID',
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},
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)
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url = fields.String(
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required=True,
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dump_only=True,
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metadata={
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'description': 'Artist Tidal URL',
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'example': 'https://tidal.com/artist/3288612',
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},
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)
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name = fields.String(required=True)
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@pre_dump
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def _prefill_url(self, data, *_, **__):
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data.url = f'https://tidal.com/artist/{data.id}'
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return data
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class TidalAlbumSchema(TidalSchema):
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def __init__(self, *args, with_tracks=False, **kwargs):
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super().__init__(*args, **kwargs)
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self._with_tracks = with_tracks
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id = fields.String(
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required=True,
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dump_only=True,
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metadata={
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'example': '45288612',
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'description': 'Album ID',
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},
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)
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url = fields.String(
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required=True,
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dump_only=True,
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metadata={
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'description': 'Album Tidal URL',
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'example': 'https://tidal.com/album/45288612',
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},
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)
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name = fields.String(required=True)
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artist = fields.Nested(TidalArtistSchema)
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duration = fields.Int(metadata={'description': 'Album duration, in seconds'})
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year = fields.Integer(metadata={'example': 2003})
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num_tracks = fields.Int(metadata={'example': 10})
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tracks = fields.List(fields.Dict(), attribute='_tracks')
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@pre_dump
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def _prefill_url(self, data, *_, **__):
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data.url = f'https://tidal.com/album/{data.id}'
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return data
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@pre_dump
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def _cache_tracks(self, data, *_, **__):
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if self._with_tracks:
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album_id = str(data.id)
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self.context[album_id] = {
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'tracks': data.tracks(),
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}
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return data
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@post_dump
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def _dump_tracks(self, data, *_, **__):
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if self._with_tracks:
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album_id = str(data['id'])
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ctx = self.context.pop(album_id, {})
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data['tracks'] = TidalTrackSchema().dump(ctx.pop('tracks', []), many=True)
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return data
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class TidalTrackSchema(TidalSchema):
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id = fields.String(
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required=True,
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dump_only=True,
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metadata={
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'example': '25288614',
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'description': 'Track ID',
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},
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)
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url = fields.String(
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required=True,
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dump_only=True,
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metadata={
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'description': 'Track Tidal URL',
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'example': 'https://tidal.com/track/25288614',
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},
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)
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artist = fields.Nested(TidalArtistSchema)
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album = fields.Nested(TidalAlbumSchema)
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name = fields.String(metadata={'description': 'Track title'})
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duration = fields.Int(metadata={'description': 'Track duration, in seconds'})
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track_num = fields.Int(
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metadata={'description': 'Index of the track within the album'}
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)
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@pre_dump
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def _prefill_url(self, data, *_, **__):
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data.url = f'https://tidal.com/track/{data.id}'
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return data
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class TidalPlaylistSchema(TidalSchema):
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id = fields.String(
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required=True,
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dump_only=True,
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attribute='uuid',
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metadata={
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'example': '2b288612-34f5-11ed-b42d-001500e8f607',
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'description': 'Playlist ID',
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},
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)
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url = fields.String(
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required=True,
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dump_only=True,
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metadata={
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'description': 'Playlist Tidal URL',
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'example': 'https://tidal.com/playlist/2b288612-34f5-11ed-b42d-001500e8f607',
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},
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)
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name = fields.String(required=True)
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description = fields.String()
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duration = fields.Int(metadata={'description': 'Playlist duration, in seconds'})
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public = fields.Boolean(attribute='publicPlaylist')
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owner = fields.String(
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attribute='creator',
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metadata={
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'description': 'Playlist creator/owner ID',
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},
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)
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num_tracks = fields.Int(
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attribute='numberOfTracks',
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default=0,
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metadata={
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'example': 42,
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'description': 'Number of tracks in the playlist',
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},
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)
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created_at = DateTime(
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attribute='created',
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metadata={
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'description': 'When the playlist was created',
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},
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)
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last_updated_at = DateTime(
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attribute='lastUpdated',
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metadata={
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'description': 'When the playlist was last updated',
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},
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)
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tracks = fields.Nested(TidalTrackSchema, many=True)
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def _flatten_object(self, data, *_, **__):
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if not isinstance(data, dict):
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data = {
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'created': data.created,
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'creator': data.creator.id,
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'description': data.description,
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'duration': data.duration,
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'lastUpdated': data.last_updated,
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'uuid': data.id,
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'name': data.name,
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'numberOfTracks': data.num_tracks,
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'publicPlaylist': data.public,
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'tracks': getattr(data, '_tracks', []),
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}
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return data
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def _normalize_owner(self, data, *_, **__):
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owner = data.pop('owner', data.pop('creator', None))
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if owner:
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if isinstance(owner, dict):
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owner = owner['id']
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data['creator'] = owner
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return data
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def _normalize_name(self, data, *_, **__):
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if data.get('title'):
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data['name'] = data.pop('title')
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return data
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@pre_dump
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def normalize(self, data, *_, **__):
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if not isinstance(data, dict):
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data = self._flatten_object(data)
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self._normalize_name(data)
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self._normalize_owner(data)
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if 'tracks' not in data:
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data['tracks'] = []
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return data
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class TidalSearchResultsSchema(TidalSchema):
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artists = fields.Nested(TidalArtistSchema, many=True)
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albums = fields.Nested(TidalAlbumSchema, many=True)
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tracks = fields.Nested(TidalTrackSchema, many=True)
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playlists = fields.Nested(TidalPlaylistSchema, many=True)
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