python - More Efficient Way of Reading Large List of dicts -


for project use mutagen library read id3 tags 5000+ mp3 files. after reading them construct following objects using them.

    class track:     def __init__(self, artist, title, album=none):         self.artist = artist         self.title = title         self.album = none      def __str__(self):         return "track: %s : %s" % (self.artist,self.title, )      def set_album(self,album):         self.album = album  class album:     def __init__(self, artist, title, year='', genre='', tracks=none):         self.artist = artist         self.year = year         self.genre = genre         self.title = title          self.tracks = []      def __str__(self):         return "album: %s : %s [%d]" % (self.artist,self.title,len(self.tracks))      def add_track(self,track):         self.tracks.append(track)

the problem files missing required tags(title missing,artist missing, or both), causing keyvalueerror

 #'talb' (album title), 'tit2' (track title), 'tpe1' (artist), 'tdrc' (year), , 'tcon' (genre)     root, dirs, files in os.walk(dir):         filename in files:             if filename.lower().endswith(e):                 fullname = os.path.join(root, filename)                 try:                     audio = mutagen.file(fullname)                     track = track(audio['tpe1'],audio['tit2'])                     album = album(audio['tpe1'], audio['talb'], audio['tdrc'], audio['tcon'])                 excpet exception e:                                 print "error on %s. %s " % (filename,type(e).__name__)

this loads files have tags, not enough. solved problem using ifs, works fine , fast enough. wonder if there better way of handling this.

if default value can empty string instead of none use defaultdict.

>>>  >>> collections import defaultdict >>> d = defaultdict(str) >>> d['a'] = 'data' >>> d['b'] = 1 >>> d defaultdict(<type 'str'>, {'a': 'data', 'b': 1}) >>> = d['a'] >>> b = d['b'] >>> c = d['c'] >>> a, b, c ('data', 1, '') >>> d defaultdict(<type 'str'>, {'a': 'data', 'c': '', 'b': 1}) >>>

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