def playlist_list(playlist_name, itunes_xml):
lib = Library(itunes_xml)
playlist = lib.getPlaylist(playlist_name)
track_locations = []
for song in playlist.tracks:
# print("{a} - {n} - {p}".format(a=song.artist, n=song.name, p=song.location))
track_locations.append(song.location)
return track_locations
def get_tracks(lib_fn):
lib = Library(lib_fn)
tracks = []
for id, song in lib.songs.items():
if song.location:
tracks.append(song)
return tracks
def __init__(self, path):
library = Library(path)
albums = {}
for id, song in library.songs.items():
if song and song.album:
albums[song.album + (song.album_artist or "")] = song
DiffableCollection.__init__(self, albums)
def __init__(self, path):
library = Library(path)
songs = {}
for id, song in library.songs.items():
if song:
songs[(song.artist or "") + song.name] = song
DiffableCollection.__init__(self, songs)
def __generate(self, **kwargs):
""" Generate xml with **kwargs, save to tmp file, init parser
:return: <iTunes xml parser object>
"""
xml = generate_xml(**kwargs)
tmp_file(path=self.path, text=tostring(xml))
return Library(itunesxml=self.path)
class TestLibrary(unittest.TestCase):
def setUp(self):
self.it_library = Library(os.path.join(os.path.dirname(__file__), "Test Library.xml"))
def test_songs(self):
for id, song in self.it_library.songs.items():
assert(hasattr(song, 'name') == True)
def test_playlists(self):
playlists = self.it_library.getPlaylistNames()
for song in self.it_library.getPlaylist(playlists[0]).tracks:
assert(hasattr(song, 'track_number'))
assert(hasattr(song, 'artist'))
assert(hasattr(song, 'name'))
def parse_xml(settings):
"""Parse the XML file for the wanted playlists and write the data to a file."""
data = Library(settings['xmlFile'])
playlists = data.getPlaylistNames()
for name in playlists:
if name in settings['whiteList']:
playlist = data.getPlaylist(name)
handle = open(settings['outputDir'] +
'/' + name, 'w')
handle.write('[')
first = True
for song in playlist.tracks:
if first:
first = False
else:
handle.write(',')
path = converttobytestr(song.location).replace(
settings['pattern'], settings['replacement'])
handle.write(
'\n {\n "service": "mpd",\n "type": "song",\n "title" : "')
if song.name:
handle.write(converttobytestr(song.name))
handle.write('",\n "artist": "')
if song.artist:
handle.write(converttobytestr(song.artist))
handle.write('",\n "album": "')
if song.album:
handle.write(converttobytestr(song.album))
handle.write('",\n "albumart": "')
album_path = os.path.dirname(path)
short_path = album_path.replace(settings['replacement'], '')
# handle.write('/albumart?web=none')
handle.write('/albumart?web=' + urllib.quote(short_path) +
'/large&path=' + urllib.quote(album_path) + '&icon=fa-dot-circle-o')
handle.write('",\n "uri": "')
handle.write(path + '"\n }')
if path == song.location:
print 'Did not match: ' + song.location
handle.write('\n]\n')
handle.close()
def _refresh_lib(self):
if not os.path.isfile(self._pf) or os.path.getmtime(
self._pf) + self._pf_exp < int(time.time()):
itl_source = Library(self.lib_path)
pickle.dump(itl_source, open(self._pf, "wb"))
self.lib = pickle.load(open(self._pf, "rb"))
self.songs_by_type = {}
self.song_type_report = {}
self.songs_by_type, self.song_type_report = self._group_songs(
self.lib.songs.values(), 'kind')
#self.itunes_base_dir = self.lib.il.get('Music Folder', '').replace('file:///', '').replace('%20', ' ')
self.itunes_base_dir = urlparse.unquote(
urlparse.urlparse(self.lib.il.get('Music Folder')).path[1:])
def get_itunes_lib(self):
path = self.backup_file(Config.ITUNES_PATH, Config.BACKUP_PATH)
l = Library(path)
songs = l.songs.items()
song_list = []
for id, song in songs:
song_model = None
song_model = Song(artist=song.artist,
title=song.name,
genre=song.genre,
album=song.album)
song_list.append(song_model)
return song_list
def process(path, user_id) -> dict:
clogger.info('process file: %s for user %s', path, user_id)
# no need for try-except because
# on any Exception celery task will be marked as failed
lib = Library(itunesxml=path)
playlist_deleted, track_delete = clear_user_itunes_data(user_id)
insert_tracks(lib, user_id)
playlists_created = insert_playlists(lib, user_id)
return dict(
playlists_deleted=playlist_deleted,
tracks_deleted=track_delete,
playlists_created=playlists_created,
tracks_created=len(lib.songs.values()),
)
def get_itunes_lib():
path = backup_file(ITUNES_PATH, BACKUP_PATH)
l = Library(path)
songs = l.songs.items()
dict_list = []
for id, song in songs:
song_dict = {}
song_dict['artist'] = song.artist
song_dict['title'] = song.name
song_dict['genre'] = song.genre
song_dict['album'] = song.album
dict_list.append(song_dict)
itunes_lib = pd.DataFrame(dict_list)
itunes_lib['artist_stripped'] = itunes_lib.artist.apply(strip_ft)
itunes_lib['title_stripped'] = itunes_lib.title.apply(strip_ft)
itunes_lib['full_title_stripped'] = itunes_lib[
'artist_stripped'] + ' - ' + itunes_lib['title_stripped']
return itunes_lib
def run_export():
library = Library('/Users/ruu/Music/iTunes/iTunes Music Library.xml')
library_data = {}
for song_id, song_data in library.songs.items():
if song_data.album_artist not in library_data:
library_data[song_data.album_artist] = {}
if song_data.album not in library_data[song_data.album_artist]:
library_data[song_data.album_artist][song_data.album] = []
library_data[song_data.album_artist][song_data.album].append(song_data)
for i in range(8):
Process(target=process_enclosure, args=(album_queue, )).start()
for album_artist, albums in library_data.items():
for album, songs in albums.items():
album_queue.put((
album_artist,
album,
songs,
))
from libpytunes import Library
class Song:
def __init__(self, artist, name):
self.Artist = artist
self.Name = name
SongList = []
l = Library("C:/Users/Admin/Desktop/Library.xml")
for id, song in l.songs.items():
SongList.append(Song(song.artist, song.name))
print("[ERROR] Please respond with 'yes' or 'no'. Exiting...")
quit()
choiceRatings = input("Do you want to sync 1 star ratings? (yes/no): ").lower()
if choiceRatings in choiceyes:
print("[INFO] Syncing 1 star ratings")
choiceRatings = 10
elif choiceRatings in choiceno:
print("[INFO] Skipping 1 star ratings")
choiceRatings = 20
else:
print("[ERROR] Please respond with 'yes' or 'no'. Exiting...")
quit()
print("[INFO] Loading iTunes library...")
itunesLibrary = Library(itunesLibraryName)
itunesLibraryCount = len(itunesLibrary.songs.items())
print("[INFO] Total number of iTunes tracks: ", itunesLibraryCount)
time.sleep(2)
print("[INFO] Optimizing iTunes library...")
itunesRatingList = { }
counter = 0
for x, song in itunesLibrary.songs.items():
counter += 1
print("\r[", counter, "/", itunesLibraryCount, "] ")
import sys
sys.stdout.flush()
if song and song.rating and song.rating > choiceRatings :
songFullName = str(song.name) + ' - ' + str(song.album_artist) + ' - ' + str(song.album)
songRating = song.rating/10
def main():
"""Main script"""
num_cores = multiprocessing.cpu_count()
l = Library(FILEPATH)
playlists = l.getPlaylistNames()
PLEX = PlexServer(PLEX_URL, PLEX_TOKEN)
PLEX_USERS = get_user_tokens(PLEX.machineIdentifier)
PLEX_MUSIC = PLEX.library.section('Music')
PLEX_TRACK_LIST = PLEX_MUSIC.searchTracks()
PLEX_ARTIST_LIST = PLEX_MUSIC.searchArtists()
for playlist in playlists:
playlist_items = []
DATA_FILE = playlist + '.pickle'
if playlist not in PLAYLISTS:
continue
# Check if .pickle exists
try:
print("Loading the '{title}' playlist from disk...".format(title=playlist))
with open(DATA_FILE, 'rb') as fp:
playlist_items = pickle.load(fp)
fp.close()
# HACK
playlist_items = [playlist_item for playlist_item in playlist_items if playlist_item]
except FileNotFoundError:
print("Building the '{title}' playlist...".format(title=playlist))
PLAYLIST_TRACKS = l.getPlaylist(playlist).tracks
# Multiprocessing implementation
# playlist_items = Parallel(n_jobs=num_cores, prefer='processes')(
# delayed(match_track)(PLAYLIST_TRACK, PLEX_MUSIC, PLEX_ARTIST_LIST, PLEX_TRACK_LIST) for PLAYLIST_TRACK in PLAYLIST_TRACKS)
# Standard implementation
for PLAYLIST_TRACK in PLAYLIST_TRACKS:
track_match = match_track(PLAYLIST_TRACK, PLEX_MUSIC, PLEX_ARTIST_LIST, PLEX_TRACK_LIST)
if track_match:
playlist_items.append(track_match)
# Save data (just in case)
with open(DATA_FILE, 'wb') as fp:
pickle.dump(playlist_items, fp)
fp.close()
# Create playlist (per user)
for user in USERS:
user_token = PLEX_USERS.get(user)
if not user_token:
print("...User '{user}' not found in shared users. Skipping.".format(user=user))
continue
user_plex = PlexServer(PLEX_URL, user_token)
# Delete the old playlist
try:
user_playlist = user_plex.playlist(playlist)
user_playlist.delete()
except:
pass
# Create a new playlist
user_plex.createPlaylist(playlist, playlist_items)
print("...Created playlist for '{user}'.".format(user=user))
return
from libpytunes import Library
l = Library("/path/to/iTunes Library.xml")
for id, song in l.songs.items():
if song and song.rating:
if song.rating > 80:
print(song.name, song.rating)
playlists = l.getPlaylistNames()
for song in l.getPlaylist(playlists[0]).tracks:
print("[{t}] {a} - {n}".format(t=song.track_number,
a=song.artist,
n=song.name))
playlistContent += os.path.relpath(track.location,
start=parentPath) + "\n"
except ValueError:
print("Warning: Could not add the track \"" +
track.location +
"\" as relative path to the playlist \"" +
playlistName +
"\"; added the track as absolute path instead.")
playlistContent += track.location + "\n"
playlistPath = parentPath.joinpath(
cleanupPlaylistName(playlist.name) + ".m3u")
playlistPath.write_text(playlistContent, encoding="utf8")
playlists = {}
library = Library(libraryPath)
for playlistName in library.getPlaylistNames(ignoreList=[
"Library", "Music", "Movies", "TV Shows", "Purchased", "iTunes DJ",
"Podcasts", "Audiobooks", "Downloaded", "Bibliotheek", "Muziek",
"Films", "TV-programma's", "Aangekocht", "iTunes DJ", "Podcasts",
"Audioboeken", "Gedownload"
] + ignoreList):
playlist = library.getPlaylist(playlistName)
playlists[playlist.playlist_persistent_id] = playlist
for playlist in playlists.values():
if (playlist.parent_persistent_id == None):
exportPlaylist(playlist, playlistRootPath)
parser = argparse.ArgumentParser(
description=
'Parse iTunes XML library and output useful things because Apple won\'t help you'
)
parser.add_argument('file', help='iTunes XML library file to process')
parser.add_argument('--lists',
help='file with newline delimited lists to output')
parser.add_argument('--playlist',
help='output playlist names only',
action='store_true')
parser.add_argument('--spotify',
help='transfer playlists to a spotify account')
args = parser.parse_args()
l = Library(args.file)
playlists = l.getPlaylistNames()
# remove first element; by default it's a list of all songs
del playlists[0]
if args.playlist == True:
for listname in playlists:
print(listname)
else:
# if specific playlists desired, prepare array
lists = []
if args.lists:
# lists = open(args.lists).readlines()
listfile = open(args.lists)
for line in listfile:
n_p * section_length:(n_p + 1) * section_length,
0] = beat_mfcc_delta[0][para_init_locs[n_p]:para_init_locs[n_p] +
section_length] / 250
all_features[n_p * section_length:(n_p + 1) * section_length,
1] = np.argmax(
beat_chroma[:,
para_init_locs[n_p]:para_init_locs[n_p] +
section_length],
axis=0) / 11
return all_features.reshape((n_paras * section_length * 2))
pickle_file = "itl.p"
xmlPath = '/Users/vidursatija/Music/iTunes/iTunes Music Library.xml' #your dir here
l = Library(xmlPath)
pickle.dump(l, open(pickle_file, "wb"))
itl = pickle.load(open(pickle_file, "rb"))
song_dict = {}
count = 0
for id, song in itl.songs.items():
if song and song.kind:
if song.kind[-10:] == 'audio file':
songPath = song.location
try:
song_dict["-".join([
str(song.name)[:5],
str(song.album)[:5],
str(song.artist)[:5],
import xml.etree.ElementTree as ET
from libpytunes import Library
from collections import Counter
import musicbrainzngs
import requests
from urllib.parse import urlparse
import boto3
import botocore
musicbrainzngs.set_useragent("Artist Nationality Sorter", "a0.0.2",
"alexchow.me")
s3 = boto3.resource('s3')
# l = Library('/Users/alexchow/Music/iTunes/iTunes Music Library.xml')
l = Library('iTunes Music Library.xml')
artists = []
xmls = []
countries = []
cities = []
def findArtist(library):
for id, song in l.songs.items():
if song.artist is None:
continue
if song.artist in artists:
continue
else:
test = musicbrainzngs.search_artists(query=song.artist, limit=1)
currentPath.mkdir()
for childPlaylist in playlists.values():
if (childPlaylist.parent_persistent_id ==
playlist.playlist_persistent_id):
exportPlaylist(childPlaylist, currentPath)
else:
playlistContent = ""
for track in playlist.tracks:
if track.location != None:
playlistContent += os.path.relpath(track.location,
start=parentPath) + "\n"
playlistPath = parentPath.joinpath(
cleanupPlaylistName(playlist.name) + ".m3u")
playlistPath.write_text(playlistContent, encoding="utf8")
playlists = {}
library = Library(libraryPath)
for playlistName in library.getPlaylistNames(ignoreList=[
"Library", "Music", "Movies", "TV Shows", "Purchased", "iTunes DJ",
"Podcasts", "Audiobooks", "Downloaded"
] + ignoreList):
playlist = library.getPlaylist(playlistName)
playlists[playlist.playlist_persistent_id] = playlist
for playlist in playlists.values():
if (playlist.parent_persistent_id == None):
exportPlaylist(playlist, playlistRootPath)
def __init__(self, configuration):
itunesLibraryPath = configuration.get('iTunes', 'itunesLibraryPath')
self.library = Library(itunesLibraryPath)
itunesLibraryCount = len(self.library.songs.items())
print("[INFO] Total number of iTunes tracks: ", itunesLibraryCount)
def setUp(self):
self.it_library = Library(os.path.join(os.path.dirname(__file__), "Test Library.xml"))
from libpytunes import Library
import pandas as pd
import datetime
import matplotlib.pyplot as plt
l = Library("C:\Python34\music_Library.xml")
new_list = []
counter = 0
new_list = [
song.__dict__ for id, song in l.songs.items() if song and song.kind
]
df = pd.DataFrame(new_list)
##print(df.head())
#writer = pd.ExcelWriter('c:\\Users\\cdonohu\\Documents\\python\\music_output_test.xlsx', engine='xlsxwriter')
#df.to_excel(writer, sheet_name='Sheet1')
#writer.save()
df['genre'].plot()
plt.show()
song_info = get_song_details_using_id3(file)
if song_info is not None:
lookup_song_info(song_info['artist'], song_info['api_path'],
song_info['track_name'],
song_info['track_length'],
song_info['mp3_path'])
else:
print(Fore.BLUE + 'Searching through iTunes library')
lib_path = itunes_library
pickle_file = "itl.p"
expiry = 60 * 60
epoch_time = int(time.time())
if not os.path.isfile(pickle_file) or os.path.getmtime(
pickle_file) + expiry < epoch_time:
itl_source = Library(lib_path)
pickle.dump(itl_source, open(pickle_file, "wb"))
itl = pickle.load(open(pickle_file, "rb"))
for id, song in itl.songs.items():
if song:
song_info = get_song_details_using_itunes(song)
if song_info is not None:
lookup_song_info(song_info['artist'],
song_info['api_path'],
song_info['track_name'],
song_info['track_length'],
song_info['mp3_path'])
print(Style.RESET_ALL)
def build_dbs(itunes_xml_path):
itunes_media_path = re.sub(r'.*iTunes/.*', 'iTunes Media/Music/',
itunes_xml_path)
library = Library(itunes_xml_path).songs.values(
) # Récupère toutes les musiques de la bibliothèque
genres_list = list_of_genre(
library
) # Récupère tous les genres musicaux existant dans la bibliothèque
track_db_col = [
"Name", "Album", "Artist", "Album_Artist", "Genre", "Year",
"Date_Added", "Group", "Play_Count", "Location", "All_Artists",
"Comments"
]
artist_db = pandas.DataFrame(columns=["Artist_Name"] +
genres_list) # un DF vide pour les artistes
track_db = pandas.DataFrame(
columns=track_db_col) # un DF vide pour les titres
artist_already_added = set(
) # Ensemble des artistes ajoutés au DF (de base, vide)
# song : Objet de "type dictionnaire" conservant toutes les musiques avec toutes les métadonnées associées.
for song in library:
# Appel des fonctions de formatage
artist_org = formating_artist(song.artist)
remixer_lst = formating_remixer(song)
all_artist = sorted(list(set(artist_org + remixer_lst)))
if song.composer is not None:
all_artist.append(song.composer)
track_composer = song.composer
else:
track_composer = ""
all_artist = formating_with_alias(all_artist)
if song.play_count is None:
count = 0
else:
count = song.play_count
track_location = re.sub(r".*{}".format(itunes_media_path),
itunes_media_path, song.location)
track_artists = ", ".join(all_artist)
track_new_entry = {
"Name": song.name,
"Album": song.album,
"Artist": song.artist,
"Album_Artist": song.album_artist,
"Genre": re.sub(r".*> ", "", song.genre),
"Year": song.year,
"Composer": track_composer,
"Date_Added": datetime.fromtimestamp(mktime(song.date_added)),
"Group": song.grouping,
"Play_Count": count,
"Location": track_location,
"All_Artists": track_artists,
"Comments": song.comments
}
track_db = track_db.append(track_new_entry, ignore_index=True)
for an_artist in all_artist:
if an_artist not in artist_already_added:
# Création d'une pour l'artiste
artist_new_entry = {"Artist_Name": an_artist}
artist_new_entry.update({genres: 0 for genres in genres_list})
artist_db = artist_db.append(artist_new_entry,
ignore_index=True)
artist_db.loc[artist_db.Artist_Name == an_artist,
song.genre] += 1
# L'artiste existe désormais dans la DB :
artist_already_added.update({an_artist})
else:
# Pour les artistes existants dans la DB, +1 pour le genre musicale de la musique traitée.
artist_db.loc[artist_db.Artist_Name == an_artist,
song.genre] += 1
# Re-formatage des noms de colonne (plus d'infos prochainement).
col_names = [re.sub(r".*> ", "", col_name) for col_name in list(artist_db)]
artist_db.columns = col_names
# Mise en ordre alphabétique des colonnes des genres musicaux
genres = sorted(col_names[1:])
new_col_names = ["Artist_Name"] + genres
artist_db = artist_db[new_col_names]
# Transtypage en vue de la sommation
artist_db = artist_db.astype({genre: int for genre in genres})
artist_db["TOTAL"] = artist_db.sum(axis=1, numeric_only=True, skipna=True)
# Normalisation des noms d'artistes pour la mise ordre des lignes
artist_db["NameNorm"] = artist_db.Artist_Name.str.normalize(
'NFKD').str.encode('ascii',
errors='ignore').str.decode('utf-8').str.upper()
# Mise en ordre des lignes et suppression de la colonne de tri "NameNorm"
artist_db = artist_db.sort_values(by=["TOTAL", "NameNorm"],
ascending=[0, 1]).reset_index(drop=True)
artist_db = artist_db.drop(labels="NameNorm", axis=1)
dbs = {"A_DB": artist_db, "T_DB": track_db}
return dbs