Song – song methods

class pyechonest.song.Song(id, buckets=None, **kwargs)

A Song object

Attributes:

id (str): Echo Nest Song ID

title (str): Song Title

artist_name (str): Artist Name

artist_id (str): Artist ID

audio_summary (dict): An Audio Summary dict

song_hotttnesss (float): A float representing a song’s hotttnesss

artist_hotttnesss (float): A float representing a song’s parent artist’s hotttnesss

artist_familiarity (float): A float representing a song’s parent artist’s familiarity

artist_location (str): A string specifying a song’s parent artist’s location

tracks (list): A list of track objects

Create a song object like so:

>>> s = song.Song('SOPEXHZ12873FD2AC7')
__init__(id, buckets=None, **kwargs)

Song class

Args:
id (str): a song ID
Kwargs:
buckets (list): A list of strings specifying which buckets to retrieve
Returns:
A Song object

Example:

>>> s = song.Song('SOPEXHZ12873FD2AC7', buckets=['song_hotttnesss', 'artist_hotttnesss'])
>>> s.song_hotttnesss
0.58602500000000002
>>> s.artist_hotttnesss
0.80329715999999995
>>> 
__repr__()
__str__()
get_artist_familiarity(cache=True)

Get our numerical estimation of how familiar a song’s artist currently is to the world

Args:
cache (bool): A boolean indicating whether or not the cached value should be used (if available). Defaults to True.
Returns:
A float representing familiarity.
Example:
>>> s = song.Song('SOQKVPH12A58A7AF4D')
>>> s.get_artist_familiarity()
0.639626025843539
>>> s.artist_familiarity
0.639626025843539
>>> 
get_artist_hotttnesss(cache=True)

Get our numerical description of how hottt a song’s artist currently is

Args:

Kwargs:
cache (bool): A boolean indicating whether or not the cached value should be used (if available). Defaults to True.
Returns:
A float representing hotttnesss.
Example:
>>> s = song.Song('SOOLGAZ127F3E1B87C')
>>> s.artist_hotttnesss
0.45645633000000002
>>> s.get_artist_hotttnesss()
0.45645633000000002
>>> 
get_artist_location(cache=True)

Get the location of a song’s artist.

Args:
cache (bool): A boolean indicating whether or not the cached value should be used (if available). Defaults to True.
Returns:
An artist location object.
Example:
>>> s = song.Song('SOQKVPH12A58A7AF4D')
>>> s.artist_location
{u'latitude': 34.053489999999996, u'location': u'Los Angeles, CA', u'longitude': -118.24532000000001}
>>> 
get_audio_summary(cache=True)

Get an audio summary of a song containing mode, tempo, key, duration, time signature, loudness, danceability, energy, and analysis_url.

Args:

Kwargs:
cache (bool): A boolean indicating whether or not the cached value should be used (if available). Defaults to True.
Returns:
A dictionary containing mode, tempo, key, duration, time signature, loudness, danceability, energy and analysis_url keys.
Example:
>>> s = song.Song('SOGNMKX12B0B806320')
>>> s.audio_summary
{u'analysis_url': u'https://echonest-analysis.s3.amazonaws.com:443/TR/TRCPUOG123E85891F2/3/full.json?Signature=wcML1ZKsl%2F2FU4k68euHJcF7Jbc%3D&Expires=1287518562&AWSAccessKeyId=AKIAIAFEHLM3KJ2XMHRA',
 u'danceability': 0.20964757782725996,
 u'duration': 472.63301999999999,
 u'energy': 0.64265230549809549,
 u'key': 0,
 u'loudness': -9.6820000000000004,
 u'mode': 1,
 u'tempo': 126.99299999999999,
 u'time_signature': 4}
>>> 
get_song_hotttnesss(cache=True)

Get our numerical description of how hottt a song currently is

Args:

Kwargs:
cache (bool): A boolean indicating whether or not the cached value should be used (if available). Defaults to True.
Returns:
A float representing hotttnesss.
Example:
>>> s = song.Song('SOLUHKP129F0698D49')
>>> s.get_song_hotttnesss()
0.57344379999999995
>>> s.song_hotttnesss
0.57344379999999995
>>> 
get_tracks(catalog, cache=True)

Get the tracks for a song given a catalog.

Args:
catalog (str): a string representing the catalog whose track you want to retrieve.
Returns:
A list of Track dicts.
Example:
>>> s = song.Song('SOWDASQ12A6310F24F')
>>> s.get_tracks('7digital')[0]
{u'catalog': u'7digital',
 u'foreign_id': u'7digital:track:8445818',
 u'id': u'TRJGNNY12903CC625C',
 u'preview_url': u'http://previews.7digital.com/clips/34/8445818.clip.mp3',
 u'release_image': u'http://cdn.7static.com/static/img/sleeveart/00/007/628/0000762838_200.jpg'}
>>> 
static song.identify(filename=None, query_obj=None, code=None, artist=None, title=None, release=None, duration=None, genre=None, buckets=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

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>]
>>> 
static song.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'}
>>> 
static song.profile(ids, 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}
>>> 

Previous topic

Artist – artist methods

Next topic

Track – track methods

This Page