def fixData(files):
errors = True
c = conn.cursor()
offset = 0
while errors:
c.execute(
"SELECT * FROM track JOIN artist ON track.artist_id = artist.id WHERE track.error != 0 OR artist.error != 0 OR track.peak_cat ISNULL LIMIT -1 OFFSET ?",
((offset,)))
data = c.fetchone()
if data is None:
errors = False
else:
print u"| Checking {} by {} (ID {})".format(data[1], data[105], data[0])
track_mir = None
track_md = None
artist_md = None
# if track and artist are error-free, just request the chart data
if data[27] == 0 and data[135] == 0 and (None in data[25:27] or None in data[132:135]):
print colored("| No errors, just updating the charts data", 'blue')
searchArtist = None in data[132:135]
chart_data = getPeakPosition([[data[105], data[1]]], searchArtist=searchArtist)[0]
c.execute('UPDATE track SET peak_cat=?, peak_weeks=? WHERE track.id = ?',
(chart_data['target_peak_cat'], chart_data['target_peak_weeks'], data[0]))
if searchArtist:
print "todo"
return # todo
c.execute(
'UPDATE artist SET mean_chart_peak=?, mean_chart_weeks=?,total_chart_weeks=?, mean_album_chart_peak=?, mean_album_chart_weeks=?, total_album_chart_weeks=? WHERE id=?',
(chart_data['artist_md']['mean_chart_peak'], chart_data['artist_md']['mean_chart_weeks'],
chart_data['artist_md']['total_chart_weeks'],
chart_data['artist_md']['mean_album_chart_peak'],
chart_data['artist_md']['mean_album_chart_weeks'],
chart_data['artist_md']['total_album_chart_weeks'], data[104]))
print colored("| Updated charts saved", 'green')
elif data[27] != 0 or data[135] != 0:
print colored("| Errors found, trying to update the whole dataset", 'blue')
track_md, artist_md = getMetadata(data[1], data[105], search_artist=data[135])
if track_md.error or (artist_md is not None and artist_md.error):
errors = True
print colored("| Errors found again, trying again in the next loop", 'red')
track_md = None
artist_md = None
if None in data[28:99]:
print colored("| Missing audio features found", 'blue')
path = None
for file in files[data[105]]:
if file[1] == data[1]:
path = file[0]
break
if path:
track_mir = marsyas_analyse(path)
if track_mir['zcr'] is None or math.isnan(track_mir['zcr']):
print colored("| File seems to be corrupted...", 'red')
track_mir = None
offset += 1
if artist_md is not None:
c.execute(
'UPDATE artist SET name=?,clean_name=?,is_male=?,is_female=?,is_group=?,german=?,american=?,other_country=?,total_years=?,breaking_years=?,life_span=?,genre_electronic=?,genre_pop=?,genre_hiphop=?,genre_rock=?,genre_other=?,followers=?,listener=?,play_count=?,recordings=?,releases=?,works=?,popularity=?,news=?,mean_chart_peak_0=?, mean_chart_peak_1=?, mean_chart_peak_2=?, mean_chart_peak_3=?, mean_chart_peak_4=?, mean_chart_peak_5=?, mean_chart_peak_6=?, mean_chart_weeks=?,total_chart_weeks=?, mean_album_chart_peak_0=?, mean_album_chart_peak_1=?, mean_album_chart_peak_2=?, mean_album_chart_peak_3=?, mean_album_chart_peak_4=?, mean_album_chart_peak_5=?, mean_album_chart_peak_6=?, mean_album_chart_weeks=?, total_album_chart_weeks=?, musicbrainz_id=?, discogs_id=?, lastfm_id=?, echonest_id=?, spotify_id=?,error=? WHERE id=?',
(artist_md.name, artist_md.clean_name, artist_md.is_male, artist_md.is_female,
artist_md.is_group, artist_md.is_german, artist_md.is_american, artist_md.is_other_country,
artist_md.total_years, artist_md.breaking_years, artist_md.life_span,
artist_md.genre_electronic, artist_md.genre_pop, artist_md.genre_hiphop,
artist_md.genre_rock,
# artist_md.genre_country, artist_md.genre_jazz,artist_md.genre_soul,
artist_md.genre_other, artist_md.followers, artist_md.listener_count,
artist_md.play_count, artist_md.recording_count, artist_md.release_count, artist_md.work_count,
artist_md.popularity, artist_md.news,
artist_md.meanChartPeak_0, artist_md.meanChartPeak_1, artist_md.meanChartPeak_2,
artist_md.meanChartPeak_3, artist_md.meanChartPeak_4, artist_md.meanChartPeak_5,
artist_md.meanChartPeak_6,
artist_md.meanChartWeeks, artist_md.totalChartWeeks,
artist_md.meanAlbumChartPeak_0, artist_md.meanAlbumChartPeak_1, artist_md.meanAlbumChartPeak_2,
artist_md.meanAlbumChartPeak_3, artist_md.meanAlbumChartPeak_4, artist_md.meanAlbumChartPeak_5,
artist_md.meanAlbumChartPeak_6,
artist_md.meanAlbumChartWeeks, artist_md.totalAlbumChartWeeks,
artist_md.musicbrainz_id, artist_md.discogs_id, artist_md.lastfm_id, artist_md.echonest_id,
artist_md.spotify_id, artist_md.error, data[104]))
if track_md is not None:
c.execute(
'UPDATE track SET name=?, clean_name=?, artist_id=?, musicbrainz_id=?, discogs_id=?, lastfm_id=?,echonest_id=?, spotify_id=?, genre_electronic=?, genre_pop=?, genre_hiphop=?, genre_rock=?, genre_other=?, year=?, is_2010s=?, is_2000s=?, is_1990s=?, is_1980s=?, is_other_decade=?, length=?, available_markets=?, available_on_spotify_in_ger=?, exists_remix=?, instrumentalness=?, speechiness=?, date=?, peak_cat=?, peak_weeks=?, error=? WHERE id=?',
(
track_md.name, track_md.clean_name, data[104], track_md.musicbrainz_id,
track_md.discogs_id,
track_md.lastfm_id, track_md.echonest_id, track_md.spotify_id,
track_md.genre_electronic,
track_md.genre_pop, track_md.genre_hiphop, track_md.genre_rock,
# track_md.genre_country,track_md.genre_jazz,track_md.genre_soul,
track_md.genre_other,
track_md.year,
track_md.is_2010s, track_md.is_2000s, track_md.is_1990s, track_md.is_1980s,
track_md.is_other_decade,
track_md.length,
track_md.available_markets,
track_md.available_on_spotify_in_ger, track_md.exists_remix, track_md.instrumentalness,
track_md.speechiness, time.time(),
track_md.peakCategory, track_md.peakWeeks,
track_md.error, data[0]))
print colored("| Updated metadata saved", 'green')
if track_mir is not None:
c.execute(
'UPDATE track SET zcr=?, zcr_std=?, nrg=?, nrg_std=?,pow=?, pow_std=?,acr=?, acr_std=?,acr_lag=?, acr_lag_std=?,amdf=?,amdf_std=?, eoe=?, eoe_std=?, eoe_min=?,cent=?,cent_std=?,flx=?,flx_std=?,rlf=?,rlf_std=?, mfcc_0=?,mfcc_0_std=?,mfcc_1=?, mfcc_1_std=?,mfcc_2=?, mfcc_2_std=?, mfcc_3=?, mfcc_3_std=?,mfcc_4=?, mfcc_4_std=?,mfcc_5=?,mfcc_5_std=?,mfcc_6=?,mfcc_6_std=?,mfcc_7=?,mfcc_7_std=?,mfcc_8=?,mfcc_8_std=?,mfcc_9=?,mfcc_9_std=?,mfcc_10=?,mfcc_10_std=?,mfcc_11=?,mfcc_11_std=?,mfcc_12=?,mfcc_12_std=?, chr_0=?,chr_0_std=?,chr_1=?,chr_1_std=?,chr_2=?,chr_2_std=?,chr_3=?,chr_3_std=?,chr_4=?,chr_4_std=?,chr_5=?,chr_5_std=?,chr_6=?,chr_6_std=?,chr_7=?,chr_7_std=?,chr_8=?,chr_8_std=?,chr_9=?,chr_9_std=?,chr_10=?,chr_10_std=?,chr_11=?, chr_11_std=? WHERE id=?',
(
track_mir['zcr'], track_mir['zcr_std'],
track_mir['nrg'], track_mir['nrg_std'],
track_mir['pow'], track_mir['pow_std'],
track_mir['acr'], track_mir['acr_std'],
track_mir['acr_lag'], track_mir['acr_lag_std'],
track_mir['amdf'], track_mir['amdf_std'],
track_mir['eoe'], track_mir['eoe_std'], track_mir['eoe_min'],
track_mir['cent'], track_mir['cent_std'],
track_mir['flx'], track_mir['flx_std'],
track_mir['rlf'], track_mir['rlf_std'],
track_mir['mfcc_0'], track_mir['mfcc_0_std'],
track_mir['mfcc_1'], track_mir['mfcc_1_std'],
track_mir['mfcc_2'], track_mir['mfcc_2_std'],
track_mir['mfcc_3'], track_mir['mfcc_3_std'],
track_mir['mfcc_4'], track_mir['mfcc_4_std'],
track_mir['mfcc_5'], track_mir['mfcc_5_std'],
track_mir['mfcc_6'], track_mir['mfcc_6_std'],
track_mir['mfcc_7'], track_mir['mfcc_7_std'],
track_mir['mfcc_8'], track_mir['mfcc_8_std'],
track_mir['mfcc_9'], track_mir['mfcc_9_std'],
track_mir['mfcc_10'], track_mir['mfcc_10_std'],
track_mir['mfcc_11'], track_mir['mfcc_11_std'],
track_mir['mfcc_12'], track_mir['mfcc_12_std'],
track_mir['chr_0'], track_mir['chr_0_std'],
track_mir['chr_1'], track_mir['chr_1_std'],
track_mir['chr_2'], track_mir['chr_2_std'],
track_mir['chr_3'], track_mir['chr_3_std'],
track_mir['chr_4'], track_mir['chr_4_std'],
track_mir['chr_5'], track_mir['chr_5_std'],
track_mir['chr_6'], track_mir['chr_6_std'],
track_mir['chr_7'], track_mir['chr_7_std'],
track_mir['chr_8'], track_mir['chr_8_std'],
track_mir['chr_9'], track_mir['chr_9_std'],
track_mir['chr_10'], track_mir['chr_10_std'],
track_mir['chr_11'], track_mir['chr_11_std'],
data[0]
))
print colored("| Updated audio features saved", 'green')
# print colored("| Processed {0}/{1}, {2:.2f}%".format(i, len(error_data), (i / len(error_data)) * 100),
# 'blue')
print "\n-----------------------------\n"
conn.commit()
def collectData(fileList, tracks_found, returnID=False):
c = conn.cursor()
currTrack = 0
for artist, tracks in fileList.iteritems():
search_artist = True
artist_id = None
artistName = utils.normalizeName(artist)
c.execute('SELECT * FROM artist WHERE clean_name=?', (artistName,))
artist_ds = c.fetchone()
if artist_ds is not None:
artist_id = artist_ds[0]
search_artist = False
for track in tracks:
currTrack += 1
print colored(u"| => Collecting data for {0} by {1}".format(track[1], artistName), 'blue')
print colored(u"| => Track {0} of {1}".format(currTrack, tracks_found),
'blue')
print ("|")
saveTrack = True
if artist_id is not None:
c.execute('SELECT * FROM track WHERE clean_name=? AND artist_id=?',
(utils.normalizeName(track[1]), artist_id))
track_ = c.fetchone()
if track_ is not None:
if returnID:
print u"|\n| Data is already existing"
print "|\n|-------------------------------------------------------"
return track_[0]
else:
print u"|\n| Data is already existing | Processed {0:.2f}%".format(
(currTrack / tracks_found) * 100)
print "|\n|-------------------------------------------------------"
continue
track_md, artist_md = getMetadata(track[1], artistName, search_artist=search_artist)
if search_artist and artist_md is not None:
c.execute(
'INSERT INTO artist (name,clean_name,is_male,is_female,is_group,german,american,other_country,total_years,breaking_years,life_span,genre_electronic,genre_pop,genre_hiphop,genre_rock,genre_other,followers,listener,play_count,recordings,releases,works,popularity,news,mean_chart_peak_0, mean_chart_peak_1, mean_chart_peak_2, mean_chart_peak_3, mean_chart_peak_4, mean_chart_peak_5, mean_chart_peak_6, mean_chart_weeks,total_chart_weeks, mean_album_chart_peak_0, mean_album_chart_peak_1, mean_album_chart_peak_2, mean_album_chart_peak_3, mean_album_chart_peak_4, mean_album_chart_peak_5, mean_album_chart_peak_6, mean_album_chart_weeks, total_album_chart_weeks,musicbrainz_id, discogs_id, lastfm_id, echonest_id, spotify_id,error) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)',
(artist_md.name, artist_md.clean_name, artist_md.is_male, artist_md.is_female,
artist_md.is_group, artist_md.is_german, artist_md.is_american, artist_md.is_other_country,
artist_md.total_years, artist_md.breaking_years, artist_md.life_span,
artist_md.genre_electronic, artist_md.genre_pop, artist_md.genre_hiphop,
artist_md.genre_rock,
# artist_md.genre_country, artist_md.genre_jazz,artist_md.genre_soul,
artist_md.genre_other, artist_md.followers, artist_md.listener_count,
artist_md.play_count, artist_md.recording_count, artist_md.release_count, artist_md.work_count,
artist_md.popularity, artist_md.news,
artist_md.meanChartPeak_0, artist_md.meanChartPeak_1, artist_md.meanChartPeak_2,
artist_md.meanChartPeak_3, artist_md.meanChartPeak_4, artist_md.meanChartPeak_5,
artist_md.meanChartPeak_6,
artist_md.meanChartWeeks, artist_md.totalChartWeeks,
artist_md.meanAlbumChartPeak_0, artist_md.meanAlbumChartPeak_1, artist_md.meanAlbumChartPeak_2,
artist_md.meanAlbumChartPeak_3, artist_md.meanAlbumChartPeak_4, artist_md.meanAlbumChartPeak_5,
artist_md.meanAlbumChartPeak_6,
artist_md.meanAlbumChartWeeks, artist_md.totalAlbumChartWeeks,
artist_md.musicbrainz_id, artist_md.discogs_id, artist_md.lastfm_id, artist_md.echonest_id,
artist_md.spotify_id, artist_md.error))
artist_id = c.lastrowid
search_artist = False
if saveTrack:
track_mir = marsyas_analyse(track[0])
c.execute(
'INSERT INTO track (name, clean_name, artist_id, musicbrainz_id, discogs_id, lastfm_id,echonest_id, spotify_id, genre_electronic, genre_pop, genre_hiphop, genre_rock, genre_other, year, is_2010s, is_2000s, is_1990s, is_1980s, is_other_decade, length, available_markets, available_on_spotify_in_ger, exists_remix, instrumentalness, speechiness, date, zcr, zcr_std, nrg, nrg_std,pow, pow_std,acr, acr_std,acr_lag, acr_lag_std,amdf,amdf_std, eoe, eoe_std, eoe_min,cent,cent_std,flx,flx_std,rlf,rlf_std, mfcc_0,mfcc_0_std,mfcc_1, mfcc_1_std,mfcc_2, mfcc_2_std, mfcc_3, mfcc_3_std,mfcc_4, mfcc_4_std,mfcc_5,mfcc_5_std,mfcc_6,mfcc_6_std,mfcc_7,mfcc_7_std,mfcc_8,mfcc_8_std,mfcc_9,mfcc_9_std,mfcc_10,mfcc_10_std,mfcc_11,mfcc_11_std,mfcc_12,mfcc_12_std, chr_0,chr_0_std,chr_1,chr_1_std,chr_2,chr_2_std,chr_3,chr_3_std,chr_4,chr_4_std,chr_5,chr_5_std,chr_6,chr_6_std,chr_7,chr_7_std,chr_8,chr_8_std,chr_9,chr_9_std,chr_10,chr_10_std,chr_11, chr_11_std,peak_cat, peak_weeks, error) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)',
(track_md.name, track_md.clean_name, artist_id, track_md.musicbrainz_id, track_md.discogs_id,
track_md.lastfm_id, track_md.echonest_id, track_md.spotify_id, track_md.genre_electronic,
track_md.genre_pop, track_md.genre_hiphop, track_md.genre_rock,
# track_md.genre_country, track_md.genre_jazz, track_md.genre_soul,
track_md.genre_other,
track_md.year,
track_md.is_2010s, track_md.is_2000s, track_md.is_1990s, track_md.is_1980s,
track_md.is_other_decade,
track_md.length,
track_md.available_markets,
track_md.available_on_spotify_in_ger, track_md.exists_remix, track_md.instrumentalness,
track_md.speechiness, time.time(),
track_mir['zcr'], track_mir['zcr_std'],
track_mir['nrg'], track_mir['nrg_std'],
track_mir['pow'], track_mir['pow_std'],
track_mir['acr'], track_mir['acr_std'],
track_mir['acr_lag'], track_mir['acr_lag_std'],
track_mir['amdf'], track_mir['amdf_std'],
track_mir['eoe'], track_mir['eoe_std'], track_mir['eoe_min'],
track_mir['cent'], track_mir['cent_std'],
track_mir['flx'], track_mir['flx_std'],
track_mir['rlf'], track_mir['rlf_std'],
track_mir['mfcc_0'], track_mir['mfcc_0_std'],
track_mir['mfcc_1'], track_mir['mfcc_1_std'],
track_mir['mfcc_2'], track_mir['mfcc_2_std'],
track_mir['mfcc_3'], track_mir['mfcc_3_std'],
track_mir['mfcc_4'], track_mir['mfcc_4_std'],
track_mir['mfcc_5'], track_mir['mfcc_5_std'],
track_mir['mfcc_6'], track_mir['mfcc_6_std'],
track_mir['mfcc_7'], track_mir['mfcc_7_std'],
track_mir['mfcc_8'], track_mir['mfcc_8_std'],
track_mir['mfcc_9'], track_mir['mfcc_9_std'],
track_mir['mfcc_10'], track_mir['mfcc_10_std'],
track_mir['mfcc_11'], track_mir['mfcc_11_std'],
track_mir['mfcc_12'], track_mir['mfcc_12_std'],
track_mir['chr_0'], track_mir['chr_0_std'],
track_mir['chr_1'], track_mir['chr_1_std'],
track_mir['chr_2'], track_mir['chr_2_std'],
track_mir['chr_3'], track_mir['chr_3_std'],
track_mir['chr_4'], track_mir['chr_4_std'],
track_mir['chr_5'], track_mir['chr_5_std'],
track_mir['chr_6'], track_mir['chr_6_std'],
track_mir['chr_7'], track_mir['chr_7_std'],
track_mir['chr_8'], track_mir['chr_8_std'],
track_mir['chr_9'], track_mir['chr_9_std'],
track_mir['chr_10'], track_mir['chr_10_std'],
track_mir['chr_11'], track_mir['chr_11_std'],
track_md.peakCategory, track_md.peakWeeks,
track_md.error))
track_id = c.lastrowid
print "|\n|\n|"
conn.commit()
print colored(u"| Data saved with errors | Processed {0:.2f}%".format((currTrack / tracks_found) * 100),
'yellow') if track_md.error else colored(
u"| Data saved successfully | Processed {0:.2f}%".format((currTrack / tracks_found) * 100),
'green')
print "|------------------------------------------------------"
if returnID:
return track_id
conn.close()
def collectData2(fileList, tracks_found):
c = conn.cursor()
currTrack = 0
for artist, tracks in fileList.iteritems():
search_artist = True
artist_id = None
artistName = utils.normalizeName(artist)
c.execute('SELECT * FROM artist WHERE clean_name=?', (artistName,))
artist_ds = c.fetchone()
if artist_ds is not None:
artist_id = artist_ds[0]
search_artist = False
for track in tracks:
if track[0] == "/Volumes/JONAS IPOD/iPod_Control/Music/F11/TDVZ.mp3" or track[
0] == "/Volumes/JONAS IPOD/iPod_Control/Music/F02/HDIX.mp3" \
or track[0] == "/Volumes/JONAS IPOD/iPod_Control/Music/F15/FTYN.mp3": # TODO: FIX
continue
currTrack += 1
print colored(u"| => Collecting data for {0} by {1}".format(track[1], artistName), 'blue')
print colored(u"| => Track {0} of {1}".format(currTrack, tracks_found),
'blue')
print ("|")
saveTrack = True
if artist_id is not None:
c.execute('SELECT * FROM track WHERE clean_name=? AND artist_id=?',
(utils.normalizeName(track[1]), artist_id))
track_ = c.fetchone()
if track_ is not None:
print u"|\n| Data is already existing | Processed {0:.2f}%".format(
(currTrack / tracks_found) * 100)
print "|\n|-------------------------------------------------------"
continue
# track_md, artist_md = getMetadata(track[1], artistName, search_artist=search_artist)
track_md = {'name': track[1], 'clean_name': utils.normalizeName(track[1]), 'error': 1}
artist_md = {'name': artistName, 'clean_name': utils.normalizeName(artistName), 'error': 1}
if search_artist and artist_md is not None:
c.execute(
'INSERT INTO artist (name,clean_name,error) VALUES (?,?,?)',
(artist_md['name'], artist_md['clean_name'], artist_md['error']))
artist_id = c.lastrowid
search_artist = False
if saveTrack:
track_mir = marsyas_analyse(track[0])
c.execute(
'INSERT INTO track (name, clean_name, artist_id, zcr, zcr_std, nrg, nrg_std,pow, pow_std,acr, acr_std,acr_lag, acr_lag_std,amdf,amdf_std, eoe, eoe_std, eoe_min,cent,cent_std,flx,flx_std,rlf,rlf_std, mfcc_0,mfcc_0_std,mfcc_1, mfcc_1_std,mfcc_2, mfcc_2_std, mfcc_3, mfcc_3_std,mfcc_4, mfcc_4_std,mfcc_5,mfcc_5_std,mfcc_6,mfcc_6_std,mfcc_7,mfcc_7_std,mfcc_8,mfcc_8_std,mfcc_9,mfcc_9_std,mfcc_10,mfcc_10_std,mfcc_11,mfcc_11_std,mfcc_12,mfcc_12_std, chr_0,chr_0_std,chr_1,chr_1_std,chr_2,chr_2_std,chr_3,chr_3_std,chr_4,chr_4_std,chr_5,chr_5_std,chr_6,chr_6_std,chr_7,chr_7_std,chr_8,chr_8_std,chr_9,chr_9_std,chr_10,chr_10_std,chr_11, chr_11_std, error) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)',
(track_md['name'], track_md['clean_name'], artist_id,
track_mir['zcr'], track_mir['zcr_std'],
track_mir['nrg'], track_mir['nrg_std'],
track_mir['pow'], track_mir['pow_std'],
track_mir['acr'], track_mir['acr_std'],
track_mir['acr_lag'], track_mir['acr_lag_std'],
track_mir['amdf'], track_mir['amdf_std'],
track_mir['eoe'], track_mir['eoe_std'], track_mir['eoe_min'],
track_mir['cent'], track_mir['cent_std'],
track_mir['flx'], track_mir['flx_std'],
track_mir['rlf'], track_mir['rlf_std'],
track_mir['mfcc_0'], track_mir['mfcc_0_std'],
track_mir['mfcc_1'], track_mir['mfcc_1_std'],
track_mir['mfcc_2'], track_mir['mfcc_2_std'],
track_mir['mfcc_3'], track_mir['mfcc_3_std'],
track_mir['mfcc_4'], track_mir['mfcc_4_std'],
track_mir['mfcc_5'], track_mir['mfcc_5_std'],
track_mir['mfcc_6'], track_mir['mfcc_6_std'],
track_mir['mfcc_7'], track_mir['mfcc_7_std'],
track_mir['mfcc_8'], track_mir['mfcc_8_std'],
track_mir['mfcc_9'], track_mir['mfcc_9_std'],
track_mir['mfcc_10'], track_mir['mfcc_10_std'],
track_mir['mfcc_11'], track_mir['mfcc_11_std'],
track_mir['mfcc_12'], track_mir['mfcc_12_std'],
track_mir['chr_0'], track_mir['chr_0_std'],
track_mir['chr_1'], track_mir['chr_1_std'],
track_mir['chr_2'], track_mir['chr_2_std'],
track_mir['chr_3'], track_mir['chr_3_std'],
track_mir['chr_4'], track_mir['chr_4_std'],
track_mir['chr_5'], track_mir['chr_5_std'],
track_mir['chr_6'], track_mir['chr_6_std'],
track_mir['chr_7'], track_mir['chr_7_std'],
track_mir['chr_8'], track_mir['chr_8_std'],
track_mir['chr_9'], track_mir['chr_9_std'],
track_mir['chr_10'], track_mir['chr_10_std'],
track_mir['chr_11'], track_mir['chr_11_std'],
track_md['error']))
print "|\n|\n|"
conn.commit()
print colored(u"| Data saved with errors | Processed {0:.2f}%".format((currTrack / tracks_found) * 100),
'yellow') if track_md['error'] else colored(
u"| Data saved successfully | Processed {0:.2f}%".format((currTrack / tracks_found) * 100),
'green')
print "|------------------------------------------------------"
conn.close()
