def get_extra_artist_info(id):
req_vars = { "apikey": apikey(),
"sig": sign(),
"nameid": id,
"format": "json",
"country": "US",
"language": "en",
"include": "musicbio,images"}
def lfm_match_album(tracks):
"""
Match a set of tracks from LFM listening history by album, with moods/tones
The intuitive thing to do here would be to perform a track level
match and then request track level data on moods and tones. I'm not
planning to do this, looking at album-level instead for two reasons.
First, the Rovi API doesn't provide track-level mood/tone data.
Second, the Rovi API reasonable requires two API calls to get this
on a track basis, and I can do it in a single go with the match/album API.
This function currently only considers the best match and does not perform
any sanity-checking or worry about accuracy in any way.
It queries Rovi's Match/Album API.
"""
# Fixme: I should consider a shortcut for this which avoids multiple calls
# to the same (suspected) album
rovi_ids = [ ]
for track in tracks:
# Fixme: handle missing elements in the LFM data?
req_vars = {'name': track['album'],
'performername': track['artist'],
'include': 'moods,themes',
'size': 1,
'format': 'json',
'apikey': apikey(),
'sig': sign()}
r = requests.get('http://api.rovicorp.com/recognition/v2.1/music/match/album',
params=req_vars)
album_match = r.json
album_data = album_match.get('matchResponse', False)
if album_data:
album_data = album_data.get('results', False)
if album_data:
# This should be a single entry list
album_data = album_data[0]
album_id = album_data.get('id')
album_info = album_data.get('album')
rovi_moods = album_info.get('moods')
rovi_themes = album_info.get('themes')
rovi_ids.append({'album_id': album_id,
'track': track['track'],
'artist': track['artist'],
'album': track['album'],
'moods': rovi_moods,
'themes': rovi_themes})
# Continue looping through the tracks in list above.
return rovi_ids
def get_genres():
req_vars = { "apikey": apikey(),
"sig": sign(),
"include": "subgenres",
"format": "json",
"country": "US",
"language": "en" }
base_url = "http://api.rovicorp.com/data/v1.1/descriptor/musicgenres"
r = requests.get(base_url, params=req_vars)
data = r.json
data = data.get('genres')
f = open("genre_cache.json", 'w')
json.dump(data, f, indent=4)
f.close()
def get_rovi_response(path, method, param_list):
param_list.append(('apikey', apikey()))
param_list.append(('sig', sign()))
param_list.append(('format', 'json'))
params = urllib.urlencode(param_list)
url = 'http://%s/%s/%s' % (str(hostname()) , str(path), str(method))
url = url + '?' + params
if debug:
print url
pass
response_dict = {}
if 0:
pass
else:
count = 0
while count < 5:
f = urllib.urlopen(url)
http_data = f.read()
if http_data == "":
if debug:
print "Failed on URL, retrying: " + url
time.sleep(60)
count += 1
continue
response_dict = json.loads(http_data)
return response_dict
return response_dict
def lfm_match_tracks(tracks):
"""
Associate Rovi IDs with a list of tracks from LFM listening history
Take a track list in the format {artist: 'artist', track: 'track',
album: 'album'}
This will use Rovi's match API to get a track ID back.
It returns a list [ ] with format # Fixme.
At the moment, the plan is to only record the single, best match and
not worry too much about sanity-checking the accuracy of the match.
This function is quite expensive since it requires a http call for
each track in the list. It currently works, more or less, but
is not actually used in the web app so hasn't been tested with a lot
of data. lfm_match_album was used instead.
"""
rovi_ids = [ ]
for track in tracks:
# Calling Rovi Match API - track match.
# Fixme: manage missing album, artist case?
req_vars = {'name': track['track'],
'performername': track['artist'],
'albumtitle': track['album'],
'include': 'appearances',
'size': 1,
'format': 'json',
'apikey': apikey(),
'sig': sign()
}
r = requests.get('http://api.rovicorp.com/recognition/v2.1/music/match/track',
params=req_vars)
track_match = r.json
track_data = track_match.get('matchResponse', False)
if track_data:
track_data = track_data.get('results')
if track_data:
# At this point we should have a single-element list.
# All I am looking for at this point, blindly, is ID
# First, the unambiguous track_ID, and then a possibly
# one-to-many album_ID.
# I'm not doing anything to check that I have the
# 'right' album_ID
# Fixme: Ask the Rovi team about appearances API.
# Fixme: Put in some sanity checking here.
# Fixme: Ask Will about multi-level dict checking. I'm
# not happy with the way this code below is written.
track_data = track_data[0]
rovi_track_id = track_data.get('id')
rovi_song_data = track_data.get('song', False)
rovi_track_appearances = False
if rovi_song_data:
rovi_track_appearances = rovi_song_data.get('appearances', False)
appearance_ids = False
rovi_album_id = None
if rovi_track_appearances:
appearance_ids = rovi_track_appearances[0].get('ids', False)
if appearance_ids:
rovi_album_id = appearance_ids.get('albumId')
# Append to the new list
# This could be done by assigning the object directly.
rovi_ids.append({'track_ID': rovi_track_id,
'track': track['track'],
'artist': track['artist'],
'album': track['album'],
'album_ID': rovi_album_id})
# Continue looping through tracks in list above
return rovi_ids
def song(data):
my_url = 'http://api.rovicorp.com/data/v1/song/info?track=' + str(data) + "&apikey=" + str(apikey()) + "&sig=" + str(sign())
f = urllib.urlopen(my_url)
song = json.loads(f.read())
top_song = song["song"]["title"]
top_artist = song["song"]["primaryArtists"][0]["name"]
song_text = "Top result: " + top_song + " by " + top_artist + "."
return build_response(song_text, " ")
def review(data):
my_url = 'http://api.rovicorp.com/data/v1/album/primaryreview?album=' + str(data) + '&format=json' + '&apikey=' + str(apikey()) + '&sig=' + str(sign())
f = urllib.urlopen(my_url)
review = json.loads(f.read())
review_text = "Sorry, no album review available"
album_review = review.get('primaryReview')
if album_review:
review_text = album_review.get('text')
review_text = scrub_links(review_text)
return build_response(review_text, " ")
def bio(data):
my_url = 'http://api.rovicorp.com/data/v1/name/musicbio?name=' + str(data) + '&format=json' + '&apikey=' + str(apikey()) + '&sig=' + str(sign())
f = urllib.urlopen(my_url)
biography = json.loads(f.read())
bio_text = "Sorry, no bio available"
music_bio = biography.get("musicBio")
if music_bio:
music_overview = music_bio.get("musicBioOverview")
if music_overview:
bio_text = music_overview[0].get("overview")
bio_text = scrub_links(bio_text)
return build_response(bio_text, " ")
def name(data):
my_url = 'http://api.rovicorp.com/data/v1/name/discography?name=' + str(data) + '&type=main' + '&format=json' + '&apikey=' + str(apikey()) + '&sig=' + str(sign())
f = urllib.urlopen(my_url)
discography = json.loads(f.read())
album_str = ""
for albums in discography['discography']:
album_str = album_str + albums.get('title') + " " + albums.get('year')[:4] + "\r\n"
return build_response(album_str, '\r\n')
def album(data):
my_url = 'http://api.rovicorp.com/data/v1/album/info?album=' + str(data) + '&apikey=' + str(apikey()) + '&sig=' + str(sign())
f = urllib.urlopen(my_url)
album = json.loads(f.read())
top_album = album["album"]["title"]
top_artist = album["album"]["primaryArtists"][0]["name"]
release_date = album["album"]["originalReleaseDate"]
album_text = "Top result: " + top_album + " by " + top_artist + ". Released on " + str(release_date) + "."
return build_response(album_text, " ")
