def post_attribute(self, method_name, **kwargs):
if 'data' in kwargs:
data = kwargs.pop('data')
else:
data = {}
result = util.callm("%s/%s" % (self._object_type, method_name), kwargs, POST=True, data=data)
return result['response']
def list(sandbox_name, results=15, start=0):
"""
Returns a list of all assets available in this sandbox
Args:
sandbox_name (str): A string representing the name of the sandbox
Kwargs:
results (int): An integer number of results to return
start (int): An integer starting value for the result set
Returns:
A list of asset dictionaries
Example:
>>> sandbox.list('bluenote')
[{}, {}]
>>>
"""
result = util.callm("%s/%s" % ('sandbox', 'list'), {'sandbox':sandbox_name, 'results': results, 'start': start})
assets = result['response']['assets']
start = result['response']['start']
total = result['response']['total']
return ResultList(assets, start, total)
def top_terms(results=15):
"""Get a list of the top overall terms
Args:
Kwargs:
results (int): An integer number of results to return
Returns:
A list of term document dicts
Example:
>>> terms = artist.top_terms(results=5)
>>> terms
[{u'frequency': 1.0, u'name': u'rock'},
{u'frequency': 0.99054710039307992, u'name': u'electronic'},
{u'frequency': 0.96131624654034398, u'name': u'hip hop'},
{u'frequency': 0.94358477322411127, u'name': u'jazz'},
{u'frequency': 0.94023302416455468, u'name': u'pop rock'}]
>>>
"""
kwargs = {}
if results:
kwargs['results'] = results
"""Get top terms"""
result = util.callm("%s/%s" % ('artist', 'top_terms'), kwargs)
return result['response']['terms']
def list(sandbox_name, results=15, start=0):
"""
Returns a list of all assets available in this sandbox
Args:
sandbox_name (str): A string representing the name of the sandbox
Kwargs:
results (int): An integer number of results to return
start (int): An integer starting value for the result set
Returns:
A list of asset dictionaries
Example:
>>> sandbox.list('bluenote')
[{}, {}]
>>>
"""
result = util.callm("%s/%s" % ('sandbox', 'list'), {
'sandbox': sandbox_name,
'results': results,
'start': start
})
assets = result['response']['assets']
start = result['response']['start']
total = result['response']['total']
return ResultList(assets, start, total)
def post_attribute(self, method_name, **kwargs):
data = kwargs.pop('data') if 'data' in kwargs else {}
result = util.callm("%s/%s" % (self._object_type, method_name),
kwargs,
POST=True,
data=data)
return result['response']
def list_catalogs(results=30, start=0):
"""
Returns list of all catalogs created on this API key
Args:
Kwargs:
results (int): An integer number of results to return
start (int): An integer starting value for the result set
Returns:
A list of catalog objects
Example:
>>> catalog.list()
[<catalog - test_artist_catalog>, <catalog - test_song_catalog>, <catalog - my_songs>]
>>>
"""
result = util.callm("%s/%s" % ('catalog', 'list'), {
'results': results,
'start': start
})
cats = [Catalog(**util.fix(d)) for d in result['response']['catalogs']]
start = result['response']['start']
total = result['response']['total']
return ResultList(cats, start, total)
def list_catalogs(results=30, start=0):
"""
Returns list of all catalogs created on this API key
Args:
Kwargs:
results (int): An integer number of results to return
start (int): An integer starting value for the result set
Returns:
A list of catalog objects
Example:
>>> catalog.list_catalogs()
[<catalog - test_artist_catalog>, <catalog - test_song_catalog>, <catalog - my_songs>]
>>>
"""
result = util.callm("%s/%s" % ('catalog', 'list'), {'results': results, 'start': start})
cats = [Catalog(**util.fix(d)) for d in result['response']['catalogs']]
start = result['response']['start']
total = result['response']['total']
return ResultList(cats, start, total)
def top_terms(results=15):
"""Get a list of the top overall terms
Args:
Kwargs:
results (int): An integer number of results to return
Returns:
A list of term document dicts
Example:
>>> terms = artist.top_terms(results=5)
>>> terms
[{u'frequency': 1.0, u'name': u'rock'},
{u'frequency': 0.99054710039307992, u'name': u'electronic'},
{u'frequency': 0.96131624654034398, u'name': u'hip hop'},
{u'frequency': 0.94358477322411127, u'name': u'jazz'},
{u'frequency': 0.94023302416455468, u'name': u'pop rock'}]
>>>
"""
kwargs = {}
if results:
kwargs['results'] = results
"""Get top terms"""
result = util.callm("%s/%s" % ('artist', 'top_terms'), kwargs)
return result['response']['terms']
def suggest(q='', results=15, buckets=None, limit=False, max_familiarity=None, min_familiarity=None,
max_hotttnesss=None, min_hotttnesss=None):
"""Suggest artists based upon partial names.
Args:
Kwargs:
q (str): The text to suggest artists from
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
Returns:
A list of Artist objects
Example:
>>> results = artist.suggest(text='rad')
>>> results
>>>
"""
buckets = buckets or []
kwargs = {}
kwargs['q'] = q
if max_familiarity is not None:
kwargs['max_familiarity'] = max_familiarity
if min_familiarity is not None:
kwargs['min_familiarity'] = min_familiarity
if max_hotttnesss is not None:
kwargs['max_hotttnesss'] = max_hotttnesss
if min_hotttnesss is not None:
kwargs['min_hotttnesss'] = min_hotttnesss
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
result = util.callm("%s/%s" % ('artist', 'suggest'), kwargs)
return [Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']]
def profile(ids=None, track_ids=None, buckets=None, limit=False):
"""get the profiles for multiple songs at once
Args:
ids (str or list): a song ID or list of song IDs
Kwargs:
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
Returns:
A list of term document dicts
Example:
>>> song_ids = ['SOBSLVH12A8C131F38', 'SOXMSGY1338A5D5873', 'SOJPHZO1376210AFE5', 'SOBHNKR12AB0186218', 'SOSJAHD13770F4D40C']
>>> songs = song.profile(song_ids, buckets=['audio_summary'])
[<song - Say It Ain't So>,
<song - Island In The Sun>,
<song - My Name Is Jonas>,
<song - Buddy Holly>]
>>> songs[0].audio_summary
{u'analysis_url': u'https://echonest-analysis.s3.amazonaws.com/TR/7VRBNguufpHAQQ4ZjJ0eWsIQWl2S2_lrK-7Bp2azHOvPN4VFV-YnU7uO0dXgYtOKT-MTEa/3/full.json?Signature=hmNghHwfEsA4JKWFXnRi7mVP6T8%3D&Expires=1349809918&AWSAccessKeyId=AKIAJRDFEY23UEVW42BQ',
u'audio_md5': u'b6079b2b88f8265be8bdd5fe9702e05c',
u'danceability': 0.64540643050283253,
u'duration': 255.92117999999999,
u'energy': 0.30711665772260549,
u'key': 8,
u'liveness': 0.088994423525370583,
u'loudness': -9.7799999999999994,
u'mode': 1,
u'speechiness': 0.031970700260699259,
u'tempo': 76.049999999999997,
u'time_signature': 4}
>>>
"""
kwargs = {}
if ids:
if not isinstance(ids, list):
ids = [ids]
kwargs['id'] = ids
if track_ids:
if not isinstance(track_ids, list):
track_ids = [track_ids]
kwargs['track_id'] = track_ids
buckets = buckets or []
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
result = util.callm("%s/%s" % ('song', 'profile'), kwargs)
return result
def suggest(q='', results=15, buckets=None, limit=False, max_familiarity=None, min_familiarity=None,
max_hotttnesss=None, min_hotttnesss=None):
"""Suggest artists based upon partial names.
Args:
Kwargs:
q (str): The text to suggest artists from
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
Returns:
A list of Artist objects
Example:
>>> results = artist.suggest(text='rad')
>>> results
>>>
"""
buckets = buckets or []
kwargs = {}
kwargs['q'] = q
if max_familiarity is not None:
kwargs['max_familiarity'] = max_familiarity
if min_familiarity is not None:
kwargs['min_familiarity'] = min_familiarity
if max_hotttnesss is not None:
kwargs['max_hotttnesss'] = max_hotttnesss
if min_hotttnesss is not None:
kwargs['min_hotttnesss'] = min_hotttnesss
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
result = util.callm("%s/%s" % ('artist', 'suggest'), kwargs)
return [Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']]
def profile(ids=None, track_ids=None, buckets=None, limit=False):
"""get the profiles for multiple songs at once
Args:
ids (str or list): a song ID or list of song IDs
Kwargs:
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
Returns:
A list of term document dicts
Example:
>>> song_ids = ['SOBSLVH12A8C131F38', 'SOXMSGY1338A5D5873', 'SOJPHZO1376210AFE5', 'SOBHNKR12AB0186218', 'SOSJAHD13770F4D40C']
>>> songs = song.profile(song_ids, buckets=['audio_summary'])
[<song - Say It Ain't So>,
<song - Island In The Sun>,
<song - My Name Is Jonas>,
<song - Buddy Holly>]
>>> songs[0].audio_summary
{u'analysis_url': u'https://echonest-analysis.s3.amazonaws.com/TR/7VRBNguufpHAQQ4ZjJ0eWsIQWl2S2_lrK-7Bp2azHOvPN4VFV-YnU7uO0dXgYtOKT-MTEa/3/full.json?Signature=hmNghHwfEsA4JKWFXnRi7mVP6T8%3D&Expires=1349809918&AWSAccessKeyId=AKIAJRDFEY23UEVW42BQ',
u'audio_md5': u'b6079b2b88f8265be8bdd5fe9702e05c',
u'danceability': 0.64540643050283253,
u'duration': 255.92117999999999,
u'energy': 0.30711665772260549,
u'key': 8,
u'liveness': 0.088994423525370583,
u'loudness': -9.7799999999999994,
u'mode': 1,
u'speechiness': 0.031970700260699259,
u'tempo': 76.049999999999997,
u'time_signature': 4}
>>>
"""
kwargs = {}
if ids:
if not isinstance(ids, list):
ids = [ids]
kwargs['id'] = ids
if track_ids:
if not isinstance(track_ids, list):
track_ids = [track_ids]
kwargs['track_id'] = track_ids
buckets = buckets or []
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
result = util.callm("%s/%s" % ('song', 'profile'), kwargs)
return [Song(**util.fix(s_dict)) for s_dict in result['response']['songs']]
def _analyze(param_dict):
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
param_dict['wait'] = 'true'
result = util.callm('track/analyze',
param_dict,
POST=True,
socket_timeout=300)
return _track_from_response(result)
def profile(ids=None, track_ids=None, buckets=None, limit=False):
"""get the profiles for multiple songs at once
Args:
ids (str or list): a song ID or list of song IDs
Kwargs:
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
Returns:
A list of term document dicts
Example:
>>> song_ids = [u'SOGNMKX12B0B806320', u'SOLUHKP129F0698D49', u'SOOLGAZ127F3E1B87C', u'SOQKVPH12A58A7AF4D', u'SOHKEEM1288D3ED9F5']
>>> songs = song.profile(song_ids, buckets=['audio_summary'])
[<song - chickfactor>,
<song - One Step Closer>,
<song - And I Am Telling You I'm Not Going (Glee Cast Version)>,
<song - In This Temple As In The Hearts Of Man For Whom He Saved The Earth>,
<song - Octet>]
>>> songs[0].audio_summary
{u'analysis_url': u'https://echonest-analysis.s3.amazonaws.com:443/TR/TRKHTDL123E858AC4B/3/full.json?Signature=sE6OwAzg6UvrtiX6nJJW1t7E6YI%3D&Expires=1287585351&AWSAccessKeyId=AKIAIAFEHLM3KJ2XMHRA',
u'danceability': None,
u'duration': 211.90485000000001,
u'energy': None,
u'key': 7,
u'loudness': -16.736999999999998,
u'mode': 1,
u'tempo': 94.957999999999998,
u'time_signature': 4}
>>>
"""
kwargs = {}
if ids:
if not isinstance(ids, list):
ids = [ids]
kwargs['id'] = ids
if track_ids:
if not isinstance(track_ids, list):
track_ids = [track_ids]
kwargs['track_id'] = track_ids
buckets = buckets or []
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
result = util.callm("%s/%s" % ('song', 'profile'), kwargs)
return [Song(**util.fix(s_dict)) for s_dict in result['response']['songs']]
def create_catalog_by_name(name, T="general"):
"""
Creates a catalog object, with a given name. Does not check to see if the catalog already exists.
Create a catalog object like
"""
result = util.callm("catalog/create", {}, POST=True,
data={"name":name, "type":T})
result = result['response']
return Catalog(result['id'], **dict( (k,result[k]) for k in ('name', 'type')))
def _upload(param_dict, timeout, data=None):
"""
Calls upload either with a local audio file,
or a url. Returns a track object.
"""
param_dict["format"] = "json"
param_dict["wait"] = "true"
param_dict["bucket"] = "audio_summary"
result = util.callm("track/upload", param_dict, POST=True, socket_timeout=300, data=data)
return _track_from_response(result, timeout)
def _upload(param_dict, data = None):
"""
Calls upload either with a local audio file,
or a url. Returns a track object.
"""
param_dict['format'] = 'json'
param_dict['wait'] = 'true'
param_dict['bucket'] = 'audio_summary'
result = util.callm('track/upload', param_dict, POST = True, socket_timeout = 300, data = data)
return _track_from_response(result)
def get_catalog_by_name(name):
"""
Grabs a catalog by name, if its there on the api key.
Otherwise, an error is thrown (mirroring the API)
"""
kwargs = {
'name' : name,
}
result = util.callm("%s/%s" % ('catalog', 'profile'), kwargs)
return Catalog(**util.fix(result['response']['catalog']))
def get_catalog_by_name(name):
"""
Grabs a catalog by name, if its there on the api key.
Otherwise, an error is thrown (mirroring the API)
"""
kwargs = {
'name': name,
}
result = util.callm("%s/%s" % ('catalog', 'profile'), kwargs)
return Catalog(**util.fix(result['response']['catalog']))
def _upload(param_dict, timeout, data):
"""
Calls upload either with a local audio file,
or a url. Returns a track object.
"""
param_dict['format'] = 'json'
param_dict['wait'] = 'true'
param_dict['bucket'] = 'audio_summary'
result = util.callm('track/upload', param_dict, POST = True, socket_timeout = 300, data = data)
return _track_from_response(result, timeout)
def _wait_for_pending_track(trid, timeout):
status = 'pending'
start_time = time.time()
while status == 'pending' and time.time() - start_time < timeout:
time.sleep(1)
param_dict = {'id': trid} # dict(id = identifier)
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
result = util.callm('track/profile', param_dict)
status = result['response']['track']['status'].lower()
return result
def _wait_for_pending_track(trid, timeout):
# timeout is ignored for now
status = "pending"
while status == "pending":
time.sleep(1)
param_dict = {"id": trid} # dict(id = identifier)
param_dict["format"] = "json"
param_dict["bucket"] = "audio_summary"
result = util.callm("track/profile", param_dict)
status = result["response"]["track"]["status"].lower()
# TODO: timeout if necessary
return result
def _wait_for_pending_track(trid, timeout):
# timeout is ignored for now
status = 'pending'
while status == 'pending':
time.sleep(1)
param_dict = {'id': trid} # dict(id = identifier)
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
result = util.callm('track/profile', param_dict)
status = result['response']['track']['status'].lower()
# TODO: timeout if necessary
return result
def _wait_for_pending_track(trid, timeout):
# timeout is ignored for now
status = 'pending'
while status == 'pending':
time.sleep(1)
param_dict = {'id': trid} # dict(id = identifier)
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
result = util.callm('track/profile', param_dict)
status = result['response']['track']['status'].lower()
# TODO: timeout if necessary
return result
def basic(
type='artist-radio',
artist_id=None,
artist=None,
song_id=None,
song=None,
track_id=None,
dmca=False,
results=15,
buckets=None,
limit=False,
genres=None,
):
"""Get a basic playlist
Args:
Kwargs:
type (str): a string representing the playlist type ('artist-radio' or 'song-radio')
artist_id (str): the artist_id to seed the playlist
artist (str): the name of an artist to seed the playlist
song_id (str): a song_id to seed the playlist
song (str): the name of a song to seed the playlist
track_id (str): the name of a track to seed the playlist
dmca (bool): make the playlist dmca-compliant
results (int): desired length of the playlist
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): Whether results should be restricted to any idspaces given in the buckets parameter
"""
limit = str(limit).lower()
dmca = str(dmca).lower()
kwargs = locals()
kwargs['bucket'] = kwargs['buckets']
del kwargs['buckets']
kwargs['genre'] = kwargs['genres']
del kwargs['genres']
result = util.callm("%s/%s" % ('playlist', 'basic'), kwargs)
return [Song(**util.fix(s_dict)) for s_dict in result['response']['songs']]
def _wait_for_pending_track(trid, timeout):
end = time.time() + timeout
status = 'pending'
while status == 'pending':
if time.time() > end:
raise Exception('analysis timed out after %2.2f seconds' % timeout)
time.sleep(1)
if time.time() > end:
raise Exception('the operation didn\'t complete before the timeout (%d secs)' % timeout)
param_dict = {'id': trid} # dict(id = identifier)
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
result = util.callm('track/profile', param_dict)
status = result['response']['track']['status'].lower()
return result
def create_catalog_by_name(name, T="general"):
"""
Creates a catalog object, with a given name. Does not check to see if the catalog already exists.
Create a catalog object like
"""
result = util.callm("catalog/create", {},
POST=True,
data={
"name": name,
"type": T
})
result = result['response']
return Catalog(result['id'],
**dict((k, result[k]) for k in ('name', 'type')))
def list_genres():
"""Get a list of best genres to use with genre-radio playlisting
Args:
Example:
>>> best_terms = artist.list_genres()
>>> best_terms
[{u'name': u'pop'},
{u'name': u'rock'},
{u'name': u'country'},
"""
kwargs = {}
result = util.callm("%s/%s" % ('artist', 'list_genres'), kwargs)
return result['response']['genres']
def _wait_for_pending_track(trid, timeout):
status = 'pending'
param_dict = {'id': trid}
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
start_time = time.time()
end_time = start_time + timeout
# counter for seconds to wait before checking track profile again.
timeout_counter = 3
while status == 'pending' and time.time() < end_time:
time.sleep(timeout_counter)
result = util.callm('track/profile', param_dict)
status = result['response']['track']['status'].lower()
# Slowly increment to wait longer each time.
timeout_counter += timeout_counter / 2
return result
def list_genres():
"""Get a list of best genres to use with genre-radio playlisting
Args:
Example:
>>> best_terms = artist.list_genres()
>>> best_terms
[{u'name': u'pop'},
{u'name': u'rock'},
{u'name': u'country'},
"""
kwargs = {}
result = util.callm("%s/%s" % ('artist', 'list_genres'), kwargs)
return result['response']['genres']
def _wait_for_pending_track(trid, timeout):
status = 'pending'
param_dict = {'id': trid}
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
start_time = time.time()
end_time = start_time + timeout
# counter for seconds to wait before checking track profile again.
timeout_counter = 3
while status == 'pending' and time.time() < end_time:
time.sleep(timeout_counter)
result = util.callm('track/profile', param_dict)
status = result['response']['track']['status'].lower()
# Slowly increment to wait longer each time.
timeout_counter += timeout_counter / 2
return result
def basic(
type="artist-radio",
artist_id=None,
artist=None,
song_id=None,
song=None,
track_id=None,
dmca=False,
results=15,
buckets=None,
limit=False,
):
"""Get a basic playlist
Args:
Kwargs:
type (str): a string representing the playlist type ('artist-radio' or 'song-radio')
artist_id (str): the artist_id to seed the playlist
artist (str): the name of an artist to seed the playlist
song_id (str): a song_id to seed the playlist
song (str): the name of a song to seed the playlist
track_id (str): the name of a track to seed the playlist
dmca (bool): make the playlist dmca-compliant
results (int): desired length of the playlist
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): Whether results should be restricted to any idspaces given in the buckets parameter
"""
limit = str(limit).lower()
dmca = str(dmca).lower()
kwargs = locals()
kwargs["bucket"] = kwargs["buckets"]
del kwargs["buckets"]
result = util.callm("%s/%s" % ("playlist", "basic"), kwargs)
return [Song(**util.fix(s_dict)) for s_dict in result["response"]["songs"]]
def top_hottt(start=0, results=15, buckets=None, limit=False):
"""Get the top hotttest artists, according to The Echo Nest
Args:
Kwargs:
results (int): An integer number of results to return
start (int): An integer starting value for the result set
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
Returns:
A list of hottt Artist objects
Example:
>>> hot_stuff = artist.top_hottt()
>>> hot_stuff
[<artist - Deerhunter>, <artist - Sufjan Stevens>, <artist - Belle and Sebastian>, <artist - Glee Cast>, <artist - Linkin Park>, <artist - Neil Young>, <artist - Jimmy Eat World>, <artist - Kanye West>, <artist - Katy Perry>, <artist - Bruno Mars>, <artist - Lady Gaga>, <artist - Rihanna>, <artist - Lil Wayne>, <artist - Jason Mraz>, <artist - Green Day>]
>>>
"""
buckets = buckets or []
kwargs = {}
if start:
kwargs['start'] = start
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
"""Get top hottt artists"""
result = util.callm("%s/%s" % ('artist', 'top_hottt'), kwargs)
return [
Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']
]
def top_hottt(start=0, results=15, buckets = None, limit=False):
"""Get the top hotttest artists, according to The Echo Nest
Args:
Kwargs:
results (int): An integer number of results to return
start (int): An integer starting value for the result set
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
Returns:
A list of hottt Artist objects
Example:
>>> hot_stuff = artist.top_hottt()
>>> hot_stuff
[<artist - Deerhunter>, <artist - Sufjan Stevens>, <artist - Belle and Sebastian>, <artist - Glee Cast>, <artist - Linkin Park>, <artist - Neil Young>, <artist - Jimmy Eat World>, <artist - Kanye West>, <artist - Katy Perry>, <artist - Bruno Mars>, <artist - Lady Gaga>, <artist - Rihanna>, <artist - Lil Wayne>, <artist - Jason Mraz>, <artist - Green Day>]
>>>
"""
buckets = buckets or []
kwargs = {}
if start:
kwargs['start'] = start
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
"""Get top hottt artists"""
result = util.callm("%s/%s" % ('artist', 'top_hottt'), kwargs)
return [Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']]
def list_terms(type):
"""Get a list of best terms to use with search
Args:
Kwargs:
type (str): the type of term to return, either 'mood' or 'style'
Example:
>>> best_terms = artist.list_terms('mood')
>>> best_terms
[{u'name': u'aggressive'},
{u'name': u'ambient'},
{u'name': u'angry'},
{u'name': u'angst-ridden'},
{u'name': u'bouncy'},
{u'name': u'calming'},
{u'name': u'carefree'}, etc.]
"""
kwargs = {'type': type}
result = util.callm("%s/%s" % ('artist', 'list_terms'), kwargs)
return result['response']['terms']
def list_terms(type):
"""Get a list of best terms to use with search
Args:
Kwargs:
type (str): the type of term to return, either 'mood' or 'style'
Example:
>>> best_terms = artist.list_terms('mood')
>>> best_terms
[{u'name': u'aggressive'},
{u'name': u'ambient'},
{u'name': u'angry'},
{u'name': u'angst-ridden'},
{u'name': u'bouncy'},
{u'name': u'calming'},
{u'name': u'carefree'}, etc.]
"""
kwargs = {'type': type}
result = util.callm("%s/%s" % ('artist', 'list_terms'), kwargs)
return result['response']['terms']
def search(name=None, description=None, results=15, buckets=None, limit=False, \
fuzzy_match=False, sort=None, max_familiarity=None, min_familiarity=None, \
max_hotttnesss=None, min_hotttnesss=None, test_new_things=None):
"""Search for artists by name, description, or constraint.
Args:
Kwargs:
name (str): the name of an artist
description (str): A string describing the artist
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
fuzzy_match (bool): A boolean indicating whether or not to search for similar sounding matches (only works with name)
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
Returns:
A list of Artist objects
Example:
>>> results = artist.search(name='t-pain')
>>> results
[<artist - T-Pain>, <artist - T-Pain & Lil Wayne>, <artist - T Pain & 2 Pistols>, <artist - Roscoe Dash & T-Pain>, <artist - Tony Moxberg & T-Pain>, <artist - Flo-Rida (feat. T-Pain)>, <artist - Shortyo/Too Short/T-Pain>]
>>>
"""
buckets = buckets or []
kwargs = {}
if name:
kwargs['name'] = name
if description:
kwargs['description'] = description
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
if fuzzy_match:
kwargs['fuzzy_match'] = 'true'
if max_familiarity is not None:
kwargs['max_familiarity'] = max_familiarity
if min_familiarity is not None:
kwargs['min_familiarity'] = min_familiarity
if max_hotttnesss is not None:
kwargs['max_hotttnesss'] = max_hotttnesss
if min_hotttnesss is not None:
kwargs['min_hotttnesss'] = min_hotttnesss
if test_new_things is not None:
kwargs['test_new_things'] = test_new_things
if sort:
kwargs['sort'] = sort
"""Search for artists"""
result = util.callm("%s/%s" % ('artist', 'search'), kwargs)
return [
Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']
]
def search(name=None, description=None, style=None, mood=None, start=0, \
results=15, buckets=None, limit=False, \
fuzzy_match=False, sort=None, max_familiarity=None, min_familiarity=None, \
max_hotttnesss=None, min_hotttnesss=None, test_new_things=None, rank_type=None, \
artist_start_year_after=None, artist_start_year_before=None,artist_end_year_after=None,artist_end_year_before=None):
"""Search for artists by name, description, or constraint.
Args:
Kwargs:
name (str): the name of an artist
description (str): A string describing the artist
style (str): A string describing the style/genre of the artist
mood (str): A string describing the mood of the artist
start (int): An integer starting value for the result set
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
fuzzy_match (bool): A boolean indicating whether or not to search for similar sounding matches (only works with name)
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
artist_start_year_before (int): Returned artists will have started recording music before this year.
artist_start_year_after (int): Returned artists will have started recording music after this year.
artist_end_year_before (int): Returned artists will have stopped recording music before this year.
artist_end_year_after (int): Returned artists will have stopped recording music after this year.
rank_type (str): A string denoting the desired ranking for description searches, either 'relevance' or 'familiarity'
Returns:
A list of Artist objects
Example:
>>> results = artist.search(name='t-pain')
>>> results
[<artist - T-Pain>, <artist - T-Pain & Lil Wayne>, <artist - T Pain & 2 Pistols>, <artist - Roscoe Dash & T-Pain>, <artist - Tony Moxberg & T-Pain>, <artist - Flo-Rida (feat. T-Pain)>, <artist - Shortyo/Too Short/T-Pain>]
>>>
"""
limit = str(limit).lower()
fuzzy_match = str(fuzzy_match).lower()
kwargs = locals()
kwargs['bucket'] = buckets or []
del kwargs['buckets']
"""Search for artists"""
result = util.callm("%s/%s" % ('artist', 'search'), kwargs)
return [Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']]
def search(title=None, artist=None, artist_id=None, combined=None, description=None, style=None, mood=None, \
results=None, start=None, max_tempo=None, min_tempo=None, \
max_duration=None, min_duration=None, max_loudness=None, min_loudness=None, \
artist_max_familiarity=None, artist_min_familiarity=None, artist_max_hotttnesss=None, \
artist_min_hotttnesss=None, song_max_hotttnesss=None, song_min_hotttnesss=None, mode=None, \
min_energy=None, max_energy=None, min_danceability=None, max_danceability=None, \
key=None, max_latitude=None, min_latitude=None, max_longitude=None, min_longitude=None, \
sort=None, buckets = None, limit=False, test_new_things=None, rank_type=None,
artist_start_year_after=None, artist_start_year_before=None, artist_end_year_after=None, artist_end_year_before=None):
"""Search for songs by name, description, or constraint.
Args:
Kwargs:
title (str): the name of a song
artist (str): the name of an artist
artist_id (str): the artist_id
combined (str): the artist name and song title
description (str): A string describing the artist and song
style (str): A string describing the style/genre of the artist and song
mood (str): A string describing the mood of the artist and song
results (int): An integer number of results to return
max_tempo (float): The max tempo of song results
min_tempo (float): The min tempo of song results
max_duration (float): The max duration of song results
min_duration (float): The min duration of song results
max_loudness (float): The max loudness of song results
min_loudness (float): The min loudness of song results
artist_max_familiarity (float): A float specifying the max familiarity of artists to search for
artist_min_familiarity (float): A float specifying the min familiarity of artists to search for
artist_max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
artist_min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
song_max_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
song_min_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
max_energy (float): The max energy of song results
min_energy (float): The min energy of song results
max_dancibility (float): The max dancibility of song results
min_dancibility (float): The min dancibility of song results
mode (int): 0 or 1 (minor or major)
key (int): 0-11 (c, c-sharp, d, e-flat, e, f, f-sharp, g, a-flat, a, b-flat, b)
max_latitude (float): A float specifying the max latitude of artists to search for
min_latitude (float): A float specifying the min latitude of artists to search for
max_longitude (float): A float specifying the max longitude of artists to search for
min_longitude (float): A float specifying the min longitude of artists to search for
sort (str): A string indicating an attribute and order for sorting the results
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
rank_type (str): A string denoting the desired ranking for description searches, either 'relevance' or 'familiarity
artist_start_year_before (int): Returned songs's artists will have started recording music before this year.
artist_start_year_after (int): Returned songs's artists will have started recording music after this year.
artist_end_year_before (int): Returned songs's artists will have stopped recording music before this year.
artist_end_year_after (int): Returned songs's artists will have stopped recording music after this year.
Returns:
A list of Song objects
Example:
>>> results = song.search(artist='shakira', title='she wolf', buckets=['id:7digital', 'tracks'], limit=True, results=1)
>>> results
[<song - She Wolf>]
>>> results[0].get_tracks('7digital')[0]
{u'catalog': u'7digital',
u'foreign_id': u'7digital:track:7854109',
u'id': u'TRTOBSE12903CACEC4',
u'preview_url': u'http://previews.7digital.com/clips/34/7854109.clip.mp3',
u'release_image': u'http://cdn.7static.com/static/img/sleeveart/00/007/081/0000708184_200.jpg'}
>>>
"""
limit = str(limit).lower()
kwargs = locals()
kwargs['bucket'] = buckets
del kwargs['buckets']
result = util.callm("%s/%s" % ('song', 'search'), kwargs)
return [Song(**util.fix(s_dict)) for s_dict in result['response']['songs']]
def static(type='artist', artist_pick='song_hotttnesss-desc', variety=.5, artist_id=None, artist=None, \
song_id=None, description=None, results=15, max_tempo=None, min_tempo=None, max_duration=None, \
min_duration=None, max_loudness=None, min_loudness=None, max_danceability=None, min_danceability=None, \
max_energy=None, min_energy=None, artist_max_familiarity=None, artist_min_familiarity=None, \
artist_max_hotttnesss=None, artist_min_hotttnesss=None, song_max_hotttnesss=None, song_min_hotttnesss=None, \
min_longitude=None, max_longitude=None, min_latitude=None, max_latitude=None, \
mode=None, key=None, buckets=[], sort=None, limit=False, seed_catalog=None, source_catalog=None):
"""Get a static playlist
Args:
Kwargs:
type (str): a string representing the playlist type ('artist', 'artist-radio', ...)
artist_pick (str): How songs should be chosen for each artist
variety (float): A number between 0 and 1 specifying the variety of the playlist
artist_id (str): the artist_id
artist (str): the name of an artist
song_id (str): the song_id
description (str): A string describing the artist and song
results (int): An integer number of results to return
max_tempo (float): The max tempo of song results
min_tempo (float): The min tempo of song results
max_duration (float): The max duration of song results
min_duration (float): The min duration of song results
max_loudness (float): The max loudness of song results
min_loudness (float): The min loudness of song results
artist_max_familiarity (float): A float specifying the max familiarity of artists to search for
artist_min_familiarity (float): A float specifying the min familiarity of artists to search for
artist_max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
artist_min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
song_max_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
song_min_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
max_energy (float): The max energy of song results
min_energy (float): The min energy of song results
max_dancibility (float): The max dancibility of song results
min_dancibility (float): The min dancibility of song results
mode (int): 0 or 1 (minor or major)
key (int): 0-11 (c, c-sharp, d, e-flat, e, f, f-sharp, g, a-flat, a, b-flat, b)
max_latitude (float): A float specifying the max latitude of artists to search for
min_latitude (float): A float specifying the min latitude of artists to search for
max_longitude (float): A float specifying the max longitude of artists to search for
min_longitude (float): A float specifying the min longitude of artists to search for
sort (str): A string indicating an attribute and order for sorting the results
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
seed_catalog (str or Catalog): An Artist Catalog object or Artist Catalog id to use as a seed
source_catalog (str or Catalog): A Catalog object or catalog id
Returns:
A list of Song objects
Example:
>>> p = playlist.static(type='artist-radio', artist=['ida maria', 'florence + the machine'])
>>> p
[<song - Pickpocket>,
<song - Self-Taught Learner>,
<song - Maps>,
<song - Window Blues>,
<song - That's Not My Name>,
<song - My Lover Will Go>,
<song - Home Sweet Home>,
<song - Stella & God>,
<song - Don't You Want To Share The Guilt?>,
<song - Forget About It>,
<song - Dull Life>,
<song - This Trumpet In My Head>,
<song - Keep Your Head>,
<song - One More Time>,
<song - Knights in Mountain Fox Jackets>]
>>>
"""
kwargs = {}
if type:
kwargs['type'] = type
if artist_pick:
kwargs['artist_pick'] = artist_pick
if variety is not None:
kwargs['variety'] = variety
if artist:
kwargs['artist'] = artist
if artist_id:
kwargs['artist_id'] = artist_id
if song_id:
kwargs['song_id'] = song_id
if description:
kwargs['description'] = description
if results is not None:
kwargs['results'] = results
if max_tempo is not None:
kwargs['max_tempo'] = max_tempo
if min_tempo is not None:
kwargs['min_tempo'] = min_tempo
if max_duration is not None:
kwargs['max_duration'] = max_duration
if min_duration is not None:
kwargs['min_duration'] = min_duration
if max_loudness is not None:
kwargs['max_loudness'] = max_loudness
if min_loudness is not None:
kwargs['min_loudness'] = min_loudness
if max_danceability is not None:
kwargs['max_danceability'] = max_danceability
if min_danceability is not None:
kwargs['min_danceability'] = min_danceability
if max_energy is not None:
kwargs['max_energy'] = max_energy
if min_energy is not None:
kwargs['min_energy'] = min_energy
if artist_max_familiarity is not None:
kwargs['artist_max_familiarity'] = artist_max_familiarity
if artist_min_familiarity is not None:
kwargs['artist_min_familiarity'] = artist_min_familiarity
if artist_max_hotttnesss is not None:
kwargs['artist_max_hotttnesss'] = artist_max_hotttnesss
if artist_min_hotttnesss is not None:
kwargs['artist_min_hotttnesss'] = artist_min_hotttnesss
if song_max_hotttnesss is not None:
kwargs['song_max_hotttnesss'] = song_max_hotttnesss
if song_min_hotttnesss is not None:
kwargs['song_min_hotttnesss'] = song_min_hotttnesss
if mode is not None:
kwargs['mode'] = mode
if key is not None:
kwargs['key'] = key
if max_latitude is not None:
kwargs['max_latitude'] = max_latitude
if min_latitude is not None:
kwargs['min_latitude'] = min_latitude
if max_longitude is not None:
kwargs['max_longitude'] = max_longitude
if min_longitude is not None:
kwargs['min_longitude'] = min_longitude
if sort:
kwargs['sort'] = sort
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
if seed_catalog:
if isinstance(seed_catalog, catalog.Catalog):
kwargs['seed_catalog'] = seed_catalog.id
else:
kwargs['seed_catalog'] = seed_catalog
if source_catalog:
if isinstance(source_catalog, catalog.Catalog):
kwargs['source_catalog'] = source_catalog.id
else:
kwargs['source_catalog'] = source_catalog
result = util.callm("%s/%s" % ('playlist', 'static'), kwargs)
return [Song(**util.fix(s_dict)) for s_dict in result['response']['songs']]
def _profile(param_dict):
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
result = util.callm('track/profile', param_dict)
return _track_from_response(result)
def identify(filename=None, query_obj=None, code=None, artist=None, title=None, release=None, duration=None, genre=None, buckets=None, version=None, codegen_start=0, codegen_duration=30):
"""Identify a song.
Args:
Kwargs:
filename (str): The path of the file you want to analyze (requires codegen binary!)
query_obj (dict or list): A dict or list of dicts containing a 'code' element with an fp code
code (str): A fingerprinter code
artist (str): An artist name
title (str): A song title
release (str): A release name
duration (int): A song duration
genre (str): A string representing the genre
buckets (list): A list of strings specifying which buckets to retrieve
version (str): The version of the code generator used to generate the code
codegen_start (int): The point (in seconds) where the codegen should start
codegen_duration (int): The duration (in seconds) the codegen should analyze
Example:
>>> qo
{'code': 'eJxlldehHSEMRFsChAjlAIL-S_CZvfaXXxAglEaBTen300Qu__lAyoJYhVQdXTvXrmvXdTsKZOqoU1q63QNydBGfOd1cGX3scpb1jEiWRLaPcJureC6RVkXE69jL8pGHjpP48pLI1m7r9oiEyBXvoVv45Q-5IhylYLkIRxGO4rp18ZpEOmpFPopwfJjL0u3WceO3HB1DIvJRnkQeO1PCLIsIjBWEzYaShq4pV9Z0KzDiQ8SbSNuSyBZPOOxIJKR7dauEmXwotxDCqllEAVZlrX6F8Y-IJ0e169i_HQaqslaVtTq1W-1vKeupImzrxWWVI5cPlw-XDxckN-3kyeXDm3jKmqv6PtB1gfH1Eey5qu8qvAuMC4zLfPv1l3aqviylJhytFhF0mzqs6aYpYU04mlqgKWtNjppwNKWubR2FowlHUws0gWmPi668dSHq6rOuPuhqgRcVKKM8s-fZS937nBe23iz3Uctx9607z-kLph1i8YZ8f_TfzLXseBh7nXy9nn1YBAg4Nwjp4AzTL23M_U3Rh0-sdDFtyspNOb1bYeZZqz2Y6TaHmXeuNmfFdTueLuvdsbOU9luvtIkl4vI5F_92PVprM1-sdJ_o9_Guc0b_WimpD_Rt1DFg0sY3wyw08e6jlqhjH3o76naYvzWqhX9rOv15Y7Ww_MIF8dXzw30s_uHO5PPDfUonnzq_NJ8J93mngAkIz5jA29SqxGwwvxQsih-sozX0zVk__RFaf_qyG9hb8dktZZXd4a8-1ljB-c5bllXOe1HqHplzeiN4E7q9ZRdmJuI73gBEJ_HcAxUm74PAVDNL47D6OAfzTHI0mHpXAmY60QNmlqjDfIPzwUDYhVnoXqtvZGrBdMi3ClQUQ8D8rX_1JE_In94CBXER4lrrw0H867ei8x-OVz8c-Osh5plzTOySpKIROmFkbn5xVuK784vTyPpS3OlcSjHpL16saZnm4Bk66hte9sd80Dcj02f7xDVrExjk32cssKXjmflU_SxXmn4Y9Ttued10YM552h5Wtt_WeVR4U6LPWfbIdW31J4JOXnpn4qhH7yE_pdBH9E_sMwbNFr0z0IW5NA8aOZhLmOh3zSVNRZwxiZc5pb8fikGzIf-ampJnCSb3r-ZPfjPuvLm7CY_Vfa_k7SCzdwHNg5mICTSHDxyBWmaOSyLQpPmCSXyF-eL7MHo7zNd668JMb_N-AJJRuMwrX0jNx7a8-Rj5oN6nyWoL-jRv4pu7Ue821TzU3MhvpD9Fo-XI',
'code_count': 151,
'low_rank': 0,
'metadata': {'artist': 'Harmonic 313',
'bitrate': 198,
'codegen_time': 0.57198400000000005,
'decode_time': 0.37954599999999999,
'duration': 226,
'filename': 'koln.mp3',
'genre': 'Electronic',
'given_duration': 30,
'release': 'When Machines Exceed Human Intelligence',
'sample_rate': 44100,
'samples_decoded': 661816,
'start_offset': 0,
'title': 'kln',
'version': 3.1499999999999999},
'tag': 0}
>>> song.identify(query_obj=qo)
[<song - Köln>]
>>>
"""
post, has_data, data = False, False, False
if filename:
if os.path.exists(filename):
query_obj = util.codegen(filename, start=codegen_start, duration=codegen_duration)
if query_obj is None:
raise Exception("The filename specified: %s could not be decoded." % filename)
else:
raise Exception("The filename specified: %s does not exist." % filename)
if query_obj and not isinstance(query_obj, list):
query_obj = [query_obj]
if filename:
# check codegen results from file in case we had a bad result
for q in query_obj:
if 'error' in q:
raise Exception(q['error'] + ": " + q.get('metadata', {}).get('filename', ''))
if not (filename or query_obj or code):
raise Exception("Not enough information to identify song.")
kwargs = {}
if code:
has_data = True
kwargs['code'] = code
if title:
kwargs['title'] = title
if release:
kwargs['release'] = release
if duration:
kwargs['duration'] = duration
if genre:
kwargs['genre'] = genre
if buckets:
kwargs['bucket'] = buckets
if version:
kwargs['version'] = version
if query_obj and any(query_obj):
has_data = True
data = {'query':json.dumps(query_obj)}
post = True
if has_data:
result = util.callm("%s/%s" % ('song', 'identify'), kwargs, POST=post, data=data)
return [Song(**util.fix(s_dict)) for s_dict in result['response'].get('songs',[])]
def _profile(param_dict, timeout):
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
result = util.callm('track/profile', param_dict)
return _track_from_response(result, timeout)
def get_attribute(self, method_name, **kwargs):
result = util.callm("%s/%s" % (self._object_type, method_name), kwargs)
return result['response']
def search(name=None, description=None, results=15, buckets=None, limit=False, \
fuzzy_match=False, sort=None, max_familiarity=None, min_familiarity=None, \
max_hotttnesss=None, min_hotttnesss=None):
"""Search for artists by name, description, or constraint.
Args:
Kwargs:
name (str): the name of an artist
description (str): A string describing the artist
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
fuzzy_match (bool): A boolean indicating whether or not to search for similar sounding matches (only works with name)
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
Returns:
A list of Artist objects
Example:
>>> results = artist.search(name='t-pain')
>>> results
[<artist - T-Pain>, <artist - T-Pain & Lil Wayne>, <artist - T Pain & 2 Pistols>, <artist - Roscoe Dash & T-Pain>, <artist - Tony Moxberg & T-Pain>, <artist - Flo-Rida (feat. T-Pain)>, <artist - Shortyo/Too Short/T-Pain>]
>>>
"""
buckets = buckets or []
kwargs = {}
if name:
kwargs['name'] = name
if description:
kwargs['description'] = description
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
if fuzzy_match:
kwargs['fuzzy_match'] = 'true'
if max_familiarity is not None:
kwargs['max_familiarity'] = max_familiarity
if min_familiarity is not None:
kwargs['min_familiarity'] = min_familiarity
if max_hotttnesss is not None:
kwargs['max_hotttnesss'] = max_hotttnesss
if min_hotttnesss is not None:
kwargs['min_hotttnesss'] = min_hotttnesss
if sort:
kwargs['sort'] = sort
"""Search for artists"""
result = util.callm("%s/%s" % ('artist', 'search'), kwargs)
return [Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']]
def extract(text='', start=0, results=15, buckets=None, limit=False, max_familiarity=None, min_familiarity=None,
max_hotttnesss=None, min_hotttnesss=None, sort=None):
"""Extract artist names from a block of text.
Args:
Kwargs:
text (str): The text to extract artists from
start (int): An integer starting value for the result set
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
Returns:
A list of Artist objects
Example:
>>> results = artist.extract(text='i saw beyonce at burger king, she was eatin, she was eatin')
>>> results
>>>
"""
buckets = buckets or []
kwargs = {}
kwargs['text'] = text
if max_familiarity is not None:
kwargs['max_familiarity'] = max_familiarity
if min_familiarity is not None:
kwargs['min_familiarity'] = min_familiarity
if max_hotttnesss is not None:
kwargs['max_hotttnesss'] = max_hotttnesss
if min_hotttnesss is not None:
kwargs['min_hotttnesss'] = min_hotttnesss
if start:
kwargs['start'] = start
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
if sort:
kwargs['sort'] = sort
result = util.callm("%s/%s" % ('artist', 'extract'), kwargs)
return [Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']]
def extract(text='',
start=0,
results=15,
buckets=None,
limit=False,
max_familiarity=None,
min_familiarity=None,
max_hotttnesss=None,
min_hotttnesss=None):
"""Extract artist names from a block of text.
Args:
Kwargs:
text (str): The text to extract artists from
start (int): An integer starting value for the result set
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
Returns:
A list of Artist objects
Example:
>>> results = artist.extract(text='i saw beyonce at burger king, she was eatin, she was eatin')
>>> results
>>>
"""
buckets = buckets or []
kwargs = {}
kwargs['text'] = text
if max_familiarity is not None:
kwargs['max_familiarity'] = max_familiarity
if min_familiarity is not None:
kwargs['min_familiarity'] = min_familiarity
if max_hotttnesss is not None:
kwargs['max_hotttnesss'] = max_hotttnesss
if min_hotttnesss is not None:
kwargs['min_hotttnesss'] = min_hotttnesss
if start:
kwargs['start'] = start
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
result = util.callm("%s/%s" % ('artist', 'extract'), kwargs)
return [
Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']
]
def search(name=None, description=None, style=None, mood=None, start=0, \
results=15, buckets=None, limit=False, \
fuzzy_match=False, sort=None, max_familiarity=None, min_familiarity=None, \
max_hotttnesss=None, min_hotttnesss=None, test_new_things=None, rank_type=None, \
artist_start_year_after=None, artist_start_year_before=None,artist_end_year_after=None,artist_end_year_before=None):
"""Search for artists by name, description, or constraint.
Args:
Kwargs:
name (str): the name of an artist
description (str): A string describing the artist
style (str): A string describing the style/genre of the artist
mood (str): A string describing the mood of the artist
start (int): An integer starting value for the result set
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
fuzzy_match (bool): A boolean indicating whether or not to search for similar sounding matches (only works with name)
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
artist_start_year_before (int): Returned artists will have started recording music before this year.
artist_start_year_after (int): Returned artists will have started recording music after this year.
artist_end_year_before (int): Returned artists will have stopped recording music before this year.
artist_end_year_after (int): Returned artists will have stopped recording music after this year.
rank_type (str): A string denoting the desired ranking for description searches, either 'relevance' or 'familiarity'
Returns:
A list of Artist objects
Example:
>>> results = artist.search(name='t-pain')
>>> results
[<artist - T-Pain>, <artist - T-Pain & Lil Wayne>, <artist - T Pain & 2 Pistols>, <artist - Roscoe Dash & T-Pain>, <artist - Tony Moxberg & T-Pain>, <artist - Flo-Rida (feat. T-Pain)>, <artist - Shortyo/Too Short/T-Pain>]
>>>
"""
limit = str(limit).lower()
fuzzy_match = str(fuzzy_match).lower()
kwargs = locals()
kwargs['bucket'] = buckets or []
del kwargs['buckets']
"""Search for artists"""
result = util.callm("%s/%s" % ('artist', 'search'), kwargs)
return [
Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']
]
def static(type='artist',
artist_pick='song_hotttnesss-desc',
variety=.5,
artist_id=None,
artist=None,
song_id=None,
track_id=None,
description=None,
style=None,
mood=None,
results=15,
max_tempo=None,
min_tempo=None,
max_duration=None,
min_duration=None,
max_loudness=None,
min_loudness=None,
max_danceability=None,
min_danceability=None,
max_energy=None,
min_energy=None,
artist_max_familiarity=None,
artist_min_familiarity=None,
artist_max_hotttnesss=None,
artist_min_hotttnesss=None,
song_max_hotttnesss=None,
song_min_hotttnesss=None,
min_longitude=None,
max_longitude=None,
min_latitude=None,
max_latitude=None,
adventurousness=0.2,
mode=None,
key=None,
buckets=None,
sort=None,
limit=False,
seed_catalog=None,
source_catalog=None,
rank_type=None,
test_new_things=None,
artist_start_year_after=None,
artist_start_year_before=None,
artist_end_year_after=None,
artist_end_year_before=None,
dmca=False,
distribution=None,
song_type=None,
genres=None):
"""Get a static playlist
Args:
Kwargs:
type (str): a string representing the playlist type ('artist', 'artist-radio', ...)
artist_pick (str): How songs should be chosen for each artist
variety (float): A number between 0 and 1 specifying the variety of the playlist
artist_id (str): the artist_id
artist (str): the name of an artist
song_id (str): the song_id
track_id (str): the track id
description (str): A string describing the artist and song
style (str): A string describing the style/genre of the artist and song
mood (str): A string describing the mood of the artist and song
results (int): An integer number of results to return
max_tempo (float): The max tempo of song results
min_tempo (float): The min tempo of song results
max_duration (float): The max duration of song results
min_duration (float): The min duration of song results
max_loudness (float): The max loudness of song results
min_loudness (float): The min loudness of song results
artist_max_familiarity (float): A float specifying the max familiarity of artists to search for
artist_min_familiarity (float): A float specifying the min familiarity of artists to search for
artist_max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
artist_min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
song_max_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
song_min_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
max_energy (float): The max energy of song results
min_energy (float): The min energy of song results
max_danceability (float): The max danceability of song results
min_danceability (float): The min danceability of song results
mode (int): 0 or 1 (minor or major)
key (int): 0-11 (c, c-sharp, d, e-flat, e, f, f-sharp, g, a-flat, a, b-flat, b)
max_latitude (float): A float specifying the max latitude of artists to search for
min_latitude (float): A float specifying the min latitude of artists to search for
max_longitude (float): A float specifying the max longitude of artists to search for
min_longitude (float): A float specifying the min longitude of artists to search for
adventurousness (float): A float ranging from 0 for old favorites to 1.0 for unheard music according to a seed_catalog
sort (str): A string indicating an attribute and order for sorting the results
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
seed_catalog (str or Catalog): An Artist Catalog object or Artist Catalog id to use as a seed
source_catalog (str or Catalog): A Catalog object or catalog id
rank_type (str): A string denoting the desired ranking for description searches, either 'relevance' or 'familiarity'
artist_start_year_before (int): Returned song's artists will have started recording music before this year.
artist_start_year_after (int): Returned song's artists will have started recording music after this year.
artist_end_year_before (int): Returned song's artists will have stopped recording music before this year.
artist_end_year_after (int): Returned song's artists will have stopped recording music after this year.
distribution (str): Affects the range of artists returned and how many songs each artist will have in the playlist relative to how similar they are to the seed. (wandering, focused)
song_type (str): A string or list of strings of the type of songs allowed. The only valid song type at the moment is 'christmas'.
Valid formats are 'song_type', 'song_type:true', 'song_type:false', or 'song_type:any'.
Returns:
A list of Song objects
Example:
>>> p = playlist.static(type='artist-radio', artist=['ida maria', 'florence + the machine'])
>>> p
[<song - Pickpocket>,
<song - Self-Taught Learner>,
<song - Maps>,
<song - Window Blues>,
<song - That's Not My Name>,
<song - My Lover Will Go>,
<song - Home Sweet Home>,
<song - Stella & God>,
<song - Don't You Want To Share The Guilt?>,
<song - Forget About It>,
<song - Dull Life>,
<song - This Trumpet In My Head>,
<song - Keep Your Head>,
<song - One More Time>,
<song - Knights in Mountain Fox Jackets>]
>>>
"""
limit = str(limit).lower()
if seed_catalog and isinstance(seed_catalog, catalog.Catalog):
seed_catalog = seed_catalog.id
if source_catalog and isinstance(source_catalog, catalog.Catalog):
source_catalog = source_catalog.id
dmca = str(dmca).lower()
kwargs = locals()
kwargs['bucket'] = kwargs['buckets'] or []
del kwargs['buckets']
kwargs['genre'] = kwargs['genres']
del kwargs['genres']
result = util.callm("%s/%s" % ('playlist', 'static'), kwargs)
return [Song(**util.fix(s_dict)) for s_dict in result['response']['songs']]
def _analyze(param_dict):
param_dict['format'] = 'json'
param_dict['bucket'] = 'audio_summary'
param_dict['wait'] = 'true'
result = util.callm('track/analyze', param_dict, POST = True, socket_timeout = 300)
return _track_from_response(result)
def search(title=None, artist=None, artist_id=None, combined=None, description=None, results=None, start=None, max_tempo=None, \
min_tempo=None, max_duration=None, min_duration=None, max_loudness=None, min_loudness=None, \
artist_max_familiarity=None, artist_min_familiarity=None, artist_max_hotttnesss=None, \
artist_min_hotttnesss=None, song_max_hotttnesss=None, song_min_hotttnesss=None, mode=None, \
min_energy=None, max_energy=None, min_danceability=None, max_danceability=None, \
key=None, max_latitude=None, min_latitude=None, max_longitude=None, min_longitude=None, \
sort=None, buckets = None, limit=False):
"""Search for songs by name, description, or constraint.
Args:
Kwargs:
title (str): the name of a song
artist (str): the name of an artist
artist_id (str): the artist_id
combined (str): the artist name and song title
description (str): A string describing the artist and song
results (int): An integer number of results to return
max_tempo (float): The max tempo of song results
min_tempo (float): The min tempo of song results
max_duration (float): The max duration of song results
min_duration (float): The min duration of song results
max_loudness (float): The max loudness of song results
min_loudness (float): The min loudness of song results
artist_max_familiarity (float): A float specifying the max familiarity of artists to search for
artist_min_familiarity (float): A float specifying the min familiarity of artists to search for
artist_max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
artist_min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
song_max_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
song_min_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
max_energy (float): The max energy of song results
min_energy (float): The min energy of song results
max_dancibility (float): The max dancibility of song results
min_dancibility (float): The min dancibility of song results
mode (int): 0 or 1 (minor or major)
key (int): 0-11 (c, c-sharp, d, e-flat, e, f, f-sharp, g, a-flat, a, b-flat, b)
max_latitude (float): A float specifying the max latitude of artists to search for
min_latitude (float): A float specifying the min latitude of artists to search for
max_longitude (float): A float specifying the max longitude of artists to search for
min_longitude (float): A float specifying the min longitude of artists to search for
sort (str): A string indicating an attribute and order for sorting the results
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
Returns:
A list of Song objects
Example:
>>> results = song.search(artist='shakira', title='she wolf', buckets=['id:7digital', 'tracks'], limit=True, results=1)
>>> results
[<song - She Wolf>]
>>> results[0].get_tracks('7digital')[0]
{u'catalog': u'7digital',
u'foreign_id': u'7digital:track:7854109',
u'id': u'TRTOBSE12903CACEC4',
u'preview_url': u'http://previews.7digital.com/clips/34/7854109.clip.mp3',
u'release_image': u'http://cdn.7static.com/static/img/sleeveart/00/007/081/0000708184_200.jpg'}
>>>
"""
kwargs = {}
if title:
kwargs['title'] = title
if artist:
kwargs['artist'] = artist
if artist_id:
kwargs['artist_id'] = artist_id
if combined:
kwargs['combined'] = combined
if description:
kwargs['description'] = description
if results is not None:
kwargs['results'] = results
if start is not None:
kwargs['start'] = start
if max_tempo is not None:
kwargs['max_tempo'] = max_tempo
if min_tempo is not None:
kwargs['min_tempo'] = min_tempo
if max_duration is not None:
kwargs['max_duration'] = max_duration
if min_duration is not None:
kwargs['min_duration'] = min_duration
if max_loudness is not None:
kwargs['max_loudness'] = max_loudness
if min_loudness is not None:
kwargs['min_loudness'] = min_loudness
if artist_max_familiarity is not None:
kwargs['artist_max_familiarity'] = artist_max_familiarity
if artist_min_familiarity is not None:
kwargs['artist_min_familiarity'] = artist_min_familiarity
if artist_max_hotttnesss is not None:
kwargs['artist_max_hotttnesss'] = artist_max_hotttnesss
if artist_min_hotttnesss is not None:
kwargs['artist_min_hotttnesss'] = artist_min_hotttnesss
if song_max_hotttnesss is not None:
kwargs['song_max_hotttnesss'] = song_max_hotttnesss
if song_min_hotttnesss is not None:
kwargs['song_min_hotttnesss'] = song_min_hotttnesss
if min_danceability is not None:
kwargs['min_danceability'] = min_danceability
if max_danceability is not None:
kwargs['max_danceability'] = max_danceability
if max_energy is not None:
kwargs['max_energy'] = max_energy
if max_energy is not None:
kwargs['max_energy'] = max_energy
if mode is not None:
kwargs['mode'] = mode
if key is not None:
kwargs['key'] = key
if max_latitude is not None:
kwargs['max_latitude'] = max_latitude
if min_latitude is not None:
kwargs['min_latitude'] = min_latitude
if max_longitude is not None:
kwargs['max_longitude'] = max_longitude
if min_longitude is not None:
kwargs['min_longitude'] = min_longitude
if sort:
kwargs['sort'] = sort
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
result = util.callm("%s/%s" % ('song', 'search'), kwargs)
return [Song(**util.fix(s_dict)) for s_dict in result['response']['songs']]
def similar(names=None, ids=None, start=0, results=15, buckets=None, limit=False, max_familiarity=None, min_familiarity=None,
max_hotttnesss=None, min_hotttnesss=None, seed_catalog=None,artist_start_year_before=None, \
artist_start_year_after=None,artist_end_year_before=None,artist_end_year_after=None):
"""Return similar artists to this one
Args:
Kwargs:
ids (str/list): An artist id or list of ids
names (str/list): An artist name or list of names
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
start (int): An integer starting value for the result set
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
seed_catalog (str): A string specifying the catalog similar artists are restricted to
Returns:
A list of similar Artist objects
Example:
>>> some_dudes = [artist.Artist('weezer'), artist.Artist('radiohead')]
>>> some_dudes
[<artist - Weezer>, <artist - Radiohead>]
>>> sims = artist.similar(ids=[art.id for art in some_dudes], results=5)
>>> sims
[<artist - The Smashing Pumpkins>, <artist - Biffy Clyro>, <artist - Death Cab for Cutie>, <artist - Jimmy Eat World>, <artist - Nerf Herder>]
>>>
"""
buckets = buckets or []
kwargs = {}
if ids:
if not isinstance(ids, list):
ids = [ids]
kwargs['id'] = ids
if names:
if not isinstance(names, list):
names = [names]
kwargs['name'] = names
if max_familiarity is not None:
kwargs['max_familiarity'] = max_familiarity
if min_familiarity is not None:
kwargs['min_familiarity'] = min_familiarity
if max_hotttnesss is not None:
kwargs['max_hotttnesss'] = max_hotttnesss
if min_hotttnesss is not None:
kwargs['min_hotttnesss'] = min_hotttnesss
if seed_catalog is not None:
kwargs['seed_catalog'] = seed_catalog
if start:
kwargs['start'] = start
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
if artist_start_year_before:
kwargs['artist_start_year_before'] = artist_start_year_before
if artist_start_year_after:
kwargs['artist_start_year_after'] = artist_start_year_after
if artist_end_year_before:
kwargs['artist_end_year_before'] = artist_end_year_before
if artist_end_year_after:
kwargs['artist_end_year_after'] = artist_end_year_after
result = util.callm("%s/%s" % ('artist', 'similar'), kwargs)
return [Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']]
def similar(names=None, ids=None, start=0, results=15, buckets=None, limit=False, max_familiarity=None, min_familiarity=None,
max_hotttnesss=None, min_hotttnesss=None, seed_catalog=None,artist_start_year_before=None, \
artist_start_year_after=None,artist_end_year_before=None,artist_end_year_after=None):
"""Return similar artists to this one
Args:
Kwargs:
ids (str/list): An artist id or list of ids
names (str/list): An artist name or list of names
results (int): An integer number of results to return
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
start (int): An integer starting value for the result set
max_familiarity (float): A float specifying the max familiarity of artists to search for
min_familiarity (float): A float specifying the min familiarity of artists to search for
max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
seed_catalog (str): A string specifying the catalog similar artists are restricted to
Returns:
A list of similar Artist objects
Example:
>>> some_dudes = [artist.Artist('weezer'), artist.Artist('radiohead')]
>>> some_dudes
[<artist - Weezer>, <artist - Radiohead>]
>>> sims = artist.similar(ids=[art.id for art in some_dudes], results=5)
>>> sims
[<artist - The Smashing Pumpkins>, <artist - Biffy Clyro>, <artist - Death Cab for Cutie>, <artist - Jimmy Eat World>, <artist - Nerf Herder>]
>>>
"""
buckets = buckets or []
kwargs = {}
if ids:
if not isinstance(ids, list):
ids = [ids]
kwargs['id'] = ids
if names:
if not isinstance(names, list):
names = [names]
kwargs['name'] = names
if max_familiarity is not None:
kwargs['max_familiarity'] = max_familiarity
if min_familiarity is not None:
kwargs['min_familiarity'] = min_familiarity
if max_hotttnesss is not None:
kwargs['max_hotttnesss'] = max_hotttnesss
if min_hotttnesss is not None:
kwargs['min_hotttnesss'] = min_hotttnesss
if seed_catalog is not None:
kwargs['seed_catalog'] = seed_catalog
if start:
kwargs['start'] = start
if results:
kwargs['results'] = results
if buckets:
kwargs['bucket'] = buckets
if limit:
kwargs['limit'] = 'true'
if artist_start_year_before:
kwargs['artist_start_year_before'] = artist_start_year_before
if artist_start_year_after:
kwargs['artist_start_year_after'] = artist_start_year_after
if artist_end_year_before:
kwargs['artist_end_year_before'] = artist_end_year_before
if artist_end_year_after:
kwargs['artist_end_year_after'] = artist_end_year_after
result = util.callm("%s/%s" % ('artist', 'similar'), kwargs)
return [
Artist(**util.fix(a_dict)) for a_dict in result['response']['artists']
]
def static(type='artist', artist_pick='song_hotttnesss-desc', variety=.5, artist_id=None, artist=None, \
song_id=None, track_id=None, description=None, style=None, mood=None, \
results=15, max_tempo=None, min_tempo=None, max_duration=None, \
min_duration=None, max_loudness=None, min_loudness=None, max_danceability=None, min_danceability=None, \
max_energy=None, min_energy=None, artist_max_familiarity=None, artist_min_familiarity=None, \
artist_max_hotttnesss=None, artist_min_hotttnesss=None, song_max_hotttnesss=None, song_min_hotttnesss=None, \
min_longitude=None, max_longitude=None, min_latitude=None, max_latitude=None, adventurousness=0.2, \
mode=None, key=None, buckets=[], sort=None, limit=False, seed_catalog=None, source_catalog=None, rank_type=None, test_new_things=None,
artist_start_year_after=None, artist_start_year_before=None, artist_end_year_after=None, artist_end_year_before=None,dmca=False, distribution=None):
"""Get a static playlist
Args:
Kwargs:
type (str): a string representing the playlist type ('artist', 'artist-radio', ...)
artist_pick (str): How songs should be chosen for each artist
variety (float): A number between 0 and 1 specifying the variety of the playlist
artist_id (str): the artist_id
artist (str): the name of an artist
song_id (str): the song_id
track_id (str): the track id
description (str): A string describing the artist and song
style (str): A string describing the style/genre of the artist and song
mood (str): A string describing the mood of the artist and song
results (int): An integer number of results to return
max_tempo (float): The max tempo of song results
min_tempo (float): The min tempo of song results
max_duration (float): The max duration of song results
min_duration (float): The min duration of song results
max_loudness (float): The max loudness of song results
min_loudness (float): The min loudness of song results
artist_max_familiarity (float): A float specifying the max familiarity of artists to search for
artist_min_familiarity (float): A float specifying the min familiarity of artists to search for
artist_max_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
artist_min_hotttnesss (float): A float specifying the max hotttnesss of artists to search for
song_max_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
song_min_hotttnesss (float): A float specifying the max hotttnesss of songs to search for
max_energy (float): The max energy of song results
min_energy (float): The min energy of song results
max_dancibility (float): The max dancibility of song results
min_dancibility (float): The min dancibility of song results
mode (int): 0 or 1 (minor or major)
key (int): 0-11 (c, c-sharp, d, e-flat, e, f, f-sharp, g, a-flat, a, b-flat, b)
max_latitude (float): A float specifying the max latitude of artists to search for
min_latitude (float): A float specifying the min latitude of artists to search for
max_longitude (float): A float specifying the max longitude of artists to search for
min_longitude (float): A float specifying the min longitude of artists to search for
adventurousness (float): A float ranging from 0 for old favorites to 1.0 for unheard music according to a seed_catalog
sort (str): A string indicating an attribute and order for sorting the results
buckets (list): A list of strings specifying which buckets to retrieve
limit (bool): A boolean indicating whether or not to limit the results to one of the id spaces specified in buckets
seed_catalog (str or Catalog): An Artist Catalog object or Artist Catalog id to use as a seed
source_catalog (str or Catalog): A Catalog object or catalog id
rank_type (str): A string denoting the desired ranking for description searches, either 'relevance' or 'familiarity'
artist_start_year_before (int): Returned songs's artists will have started recording music before this year.
artist_start_year_after (int): Returned songs's artists will have started recording music after this year.
artist_end_year_before (int): Returned songs's artists will have stopped recording music before this year.
artist_end_year_after (int): Returned songs's artists will have stopped recording music after this year.
distribution (str): Affects the range of artists returned and how many songs each artsits will have in the playlist realative to how similar they are to the seed. (wandering, focused)
Returns:
A list of Song objects
Example:
>>> p = playlist.static(type='artist-radio', artist=['ida maria', 'florence + the machine'])
>>> p
[<song - Pickpocket>,
<song - Self-Taught Learner>,
<song - Maps>,
<song - Window Blues>,
<song - That's Not My Name>,
<song - My Lover Will Go>,
<song - Home Sweet Home>,
<song - Stella & God>,
<song - Don't You Want To Share The Guilt?>,
<song - Forget About It>,
<song - Dull Life>,
<song - This Trumpet In My Head>,
<song - Keep Your Head>,
<song - One More Time>,
<song - Knights in Mountain Fox Jackets>]
>>>
"""
limit = str(limit).lower()
if seed_catalog and isinstance(seed_catalog, catalog.Catalog):
seed_catalog = seed_catalog.id
if source_catalog and isinstance(source_catalog, catalog.Catalog):
source_catalog = source_catalog.id
dmca = str(dmca).lower()
kwargs = locals()
kwargs['bucket'] = kwargs['buckets']
del kwargs['buckets']
result = util.callm("%s/%s" % ('playlist', 'static'), kwargs)
return [Song(**util.fix(s_dict)) for s_dict in result['response']['songs']]
def get_json_resource(resource_name, **kwargs):
result = util.callm("%s.json" % resource_name, kwargs)
return result
