def print_results():
""" This function prints out the recommended song (name,artist) with their hotttnesss ranking according to the
EchoNest API """
with open("result.txt", 'r') as file:
for line in file:
list = line.strip().split()
for song_id in list:
try:
s = song.Song(str(song_id))
print("%s | %s - %s" %
(s.song_hotttnesss, s, s.artist_name))
except Exception as exception:
print(
"Exception : {}. Can't get information about song {}".
format(exception, song_id))
continue
def get_track_features(start, stop):
for num, track_info in enumerate(track_list[start:stop]):
if num % 20 == 0:
time.sleep(15)
trk_id = track_info[0]
year, song_id, artist, track_name = track_info[1]
info_dict = dict()
info_dict['year'] = year
info_dict['artist'] = artist
info_dict['track_name'] = track_name
info_dict['track_id'] = trk_id
info_dict['song_id'] = song_id
tester = 0
try:
trk = track.track_from_id(trk_id)
info_dict['track_acousticness'] = trk.acousticness
info_dict['track_danceability'] = trk.danceability
info_dict['track_duration'] = trk.duration
info_dict['track_energy'] = trk.energy
info_dict['track_instrumentalness'] = trk.instrumentalness
info_dict['track_key'] = trk.key
info_dict['track_liveness'] = trk.liveness
info_dict['track_loudness'] = trk.loudness
info_dict['track_mode'] = trk.mode
info_dict['track_speechiness'] = trk.speechiness
info_dict['track_tempo'] = trk.tempo
info_dict['track_time_signature'] = trk.time_signature
info_dict['track_valence'] = trk.valence
except:
print num, ' - track fail'
tester += 1
try:
sawng = song.Song(song_id)
location = sawng.get_artist_location()
summary = sawng.get_audio_summary()
# location
info_dict['latitude'] = location['latitude']
info_dict['longitude'] = location['longitude']
info_dict['city'] = location['location']
# audio summary
info_dict['song_danceability'] = summary['danceability']
info_dict['song_duration'] = summary['duration']
info_dict['song_acousticness'] = summary['acousticness']
info_dict['analysis_url'] = summary['analysis_url']
info_dict['song_energy'] = summary['energy']
info_dict['song_instrumentalness'] = summary['instrumentalness']
info_dict['song_key'] = summary['key']
info_dict['song_liveness'] = summary['liveness']
info_dict['song_loudness'] = summary['loudness']
info_dict['song_mode'] = summary['mode']
info_dict['speechiness'] = summary['speechiness']
info_dict['song_tempo'] = summary['tempo']
info_dict['song_time_signature'] = summary['time_signature']
info_dict['song_valence'] = summary['valence']
# hotness, familiarity, and type
info_dict['song_type'] = sawng.get_song_type()
info_dict['artist_familiarity'] = sawng.get_artist_familiarity()
info_dict['artist_hotttnesss'] = sawng.get_artist_hotttnesss()
info_dict['song_currency'] = sawng.get_song_currency()
info_dict['song_hotttnesss'] = sawng.get_song_hotttnesss()
info_dict['artist_id'] = str(sawng.artist_id)
except:
print num, ' - song fail'
tester += 1
if tester < 2:
trackDict[trk_id] = info_dict
else:
pass
# Uncomment to set the API key explicitly. Otherwise Pyechonest will
# look in the ECHO_NEST_API_KEY environment variable for the key.
#from pyechonest import config
#config.ECHO_NEST_API_KEY='YOUR API KEY'
from pyechonest import playlist, song
kwstr = song.Song('SOSGSJB12A8C13B2D4')
dptec = song.Song('SOOSADY12A6701F119')
jwcb = song.Song('SOCEGKM12A58A7F30D')
a_playlist = playlist.static(type='song-radio',
song_id=[kwstr.id, dptec.id, jwcb.id],
results=5)
other_playlist = playlist.static(type='song-radio',
song_id=[kwstr.id, dptec.id, jwcb.id],
results=5)
print 'Songs in one playlist for seed songs "%s":' % ('," "'.join(
a_song.title for a_song in [kwstr, dptec, jwcb]), )
for a_song in a_playlist:
print '"%s" by %s' % (a_song.title, a_song.artist_name)
print ''
print 'Songs in another playlist for seed songs "%s":' % ('," "'.join(
a_song.title for a_song in [kwstr, dptec, jwcb]), )
for a_song in other_playlist:
print '"%s" by %s' % (a_song.title, a_song.artist_name)
def convert_one_song(audiofile,
output,
mbconnect=None,
verbose=0,
DESTROYAUDIO=False):
"""
PRINCIPAL FUNCTION
Converts one given audio file to hdf5 format (saved in 'output')
by uploading it to The Echo Nest API
INPUT
audiofile - path to a typical audio file (wav, mp3, ...)
output - nonexisting hdf5 path
mbconnect - if not None, open connection to musicbrainz server
verbose - if >0 display more information
DESTROYAUDIO - Careful! deletes audio file if everything went well
RETURN
1 if we think a song is created, 0 otherwise
"""
# inputs + sanity checks
if not os.path.exists(audiofile):
print(('ERROR: song file does not exist:', songfile))
return 0
if os.path.exists(output):
print(('ERROR: hdf5 output file already exist:', output,
', delete or choose new path'))
return 0
# get EN track / song / artist for that song
if verbose > 0: print(('get analysis for file:', audiofile))
track = trackEN.track_from_filename(audiofile)
song_id = track.song_id
song = songEN.Song(song_id)
if verbose > 0: print(('found song:', song.title, '(', song_id, ')'))
artist_id = song.artist_id
artist = artistEN.Artist(artist_id)
if verbose > 0: print(('found artist:', artist.name, '(', artist_id, ')'))
# hack to fill missing values
try:
track.foreign_id
except AttributeError:
track.__setattr__('foreign_id', '')
if verbose > 0: print('no track foreign_id found')
try:
track.foreign_release_id
except AttributeError:
track.__setattr__('foreign_release_id', '')
if verbose > 0: print('no track foreign_release_id found')
# create HDF5 file
if verbose > 0: print(('create HDF5 file:', output))
HDF5.create_song_file(output, force=False)
# fill hdf5 file from track
if verbose > 0:
if mbconnect is None:
print('fill HDF5 file with info from track/song/artist')
else:
print(
'fill HDF5 file with info from track/song/artist/musicbrainz')
h5 = HDF5.open_h5_file_append(output)
HDF5.fill_hdf5_from_artist(h5, artist)
HDF5.fill_hdf5_from_song(h5, song)
HDF5.fill_hdf5_from_track(h5, track)
if not mbconnect is None:
HDF5.fill_hdf5_from_musicbrainz(h5, mbconnect)
h5.close()
# done
if DESTROYAUDIO:
if verbose > 0: print(('We remove audio file:', audiofile))
os.remove(audiofile)
return 1