I’ve written a python script that walks through a path tree, checking to see if each file in the tree is a track in the current user’s iTunes Music Library.xml file.
1 import os, re 2 3 startpath = "/Volumes/Media/Music/" 4 prefix = "file://localhost" 5 library = os.path.expanduser("~")+"/Music/iTunes/iTunes Music Library.xml" 6 7 def eachpath(arg, path, tracks): 8 for track in tracks: 9 if os.path.isfile(os.path.abspath(path)+'/'+track): 10 trackpath = os.path.join(os.path.abspath(path),track) 11 grepstr = prefix+trackpath.replace(" ","%20") 12 if grepstr not in data: 13 arg.append(grepstr) 14 15 data = open(library).read() 16 missing =  17 os.path.walk(startpath, eachpath, missing) 18 19 print missing
It’s not flawless - on my machine it eats up over 11 meg of memory, and takes ages to run, but as a proof of concept, it works okay. The memory it uses is mostly because is stores the whole iTunes library file in memory, so that’s 9 meg on my system already. The main loop is doing a
string1 not in string2, which is probably not optimal, but it was easy to code, for now. I’m still waiting to see how long it takes to do my whole library, but I’m getting bored with waiting. Edit: to reduce the time taken, I used the following code in the final if clause in the function:
1 try: 2 if not re.search(grepstr, data): 3 arg.append(grepstr) 4 except: 5 if grepstr not in data: 6 arg.append(grepstr)
The re one is much faster, but fails in some cases: the second one, while slower, is a fallback. There are also some other issues, at this stage I have not cared that much about escaped characters, which iTunes uses when storing the information. But, I came up with a quicker method than python’s os.path.walk(). Using the find command is much quicker:
1 find /Volumes/Media/Music -type f -not -name .aacgained -not -name ._* -not -name .DS_Store
takes between 12-36 seconds for my 5700+ library stored on my NSLU2. If I telnet into the NSLU2 and run the equivalent command:
1 find ~media/Music -type f -not -name .aacgained -not -name ._* -not -name .DS_Store
it takes on average less than one second to complete. So, that’s more than an order of magnitude, even if the network traffic is low. Oh, and it compares very favourably with the python version, which takes at least one minute to run.