platypush/platypush/schemas/tidal.py

228 lines
6.1 KiB
Python

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