def get(self):
"""
Search for artists and tracks on MusicBrainz and return JSON.
TODO: Search for tracks as well as combine queries ("artist album")
"""
mb = MusicbrainzClient()
query = self.get_argument('q')
artists, tracks = yield [mb.search_artists(query),
mb.search_tracks(query)]
data = {
'artists': [
{
'id': artist['id'],
'artist': artist['name'],
'note': artist.get('disambiguation', '')
}
for artist in artists['artist-list']
],
'tracks': [
{
'id': track['id'],
'title': track['title'],
'artist': track['artist-credit-phrase']
}
for track in tracks['recording-list']
]
}
self.finish(data)
def get(self, mbid):
"""Return an album track list as JSON.
:param mbid: the album's MusicBrainz ID
"""
mb = MusicbrainzClient()
response = yield mb.lookup_release(mbid)
release = response['release']
track_list = release['medium-list'][0]['track-list']
tracks = []
for number, track in enumerate(track_list, start=1):
recording = track['recording']
tracks.append({
'id': recording['id'],
'number': number,
'title': recording['title'],
'album': release['title']
})
self.finish(json.dumps(tracks))
def get(self, mbid):
"""Return artist's info and its discography as JSON.
:param mbid: the artist's MusicBrainz ID
"""
cache_key = 'cache:artist:%s' % mbid
cached = yield Task(async.redis.get, cache_key)
if cached:
self.finish(cached)
return
mb = MusicbrainzClient()
lf = AsyncLastfmClient()
mb_artist = yield mb.lookup_artist(mbid)
mb_artist = mb_artist['artist']
lf_artist, lf_similar, lf_albums = yield [
lf.artist.get_info(artist=mb_artist['name'], mbid=mbid),
lf.artist.get_similar(artist=mb_artist['name'], mbid=mbid),
lf.artist.get_top_albums(artist=mb_artist['name'], mbid=mbid)
]
# FIXME: the following sometimes fails.
# assert lf_artist['mbid'] == mbid
similar = [] if not isinstance(lf_similar['artist'], list) else [
serialise_lastfm_artist(similar_artist)
for similar_artist in lf_similar['artist']
if similar_artist['mbid']
]
albums = lf_albums.get('album', [])
if isinstance(albums, dict):
albums = [albums]
data = {
'id': mbid,
'name': mb_artist['name'],
'albums': [
{
'id': album['mbid'],
'name': album['name'],
'year': '(year)', #parse_year(album['first-release-date']),
'type': '(type)', #album.get('type'),
'subtypes': [], #album.get('secondary-type-list'),
'images': {
img['size']: img['#text']
for img in album['image']
}
}
for album in albums
if album['mbid']
#if 'secondary-type-list' not in album
],
'bio': lf_artist['bio']['content'].strip(),
'images': {
img['size']: img['#text']
for img in lf_artist['image']
},
'similar': similar
}
data['albums'].sort(key=itemgetter('year'), reverse=True)
data_json = json.dumps(data)
self.finish(data)
yield Task(async.redis.set, cache_key, data_json)
