VDF is Valve's KeyValue text file format

https://developer.valvesoftware.com/wiki/KeyValues

The module works just like json to convert VDF to a dict, and vise-versa.

• There are known files that contain duplicate keys. This can be solved by creating a class inheriting from dict and implementing a way to handle duplicate keys. See example implementation of DuplicateOrderedDict.
• By default parsing will return a dict, which doesn't preserve nor guarantee key order due to hash randomization. If key order is important then I suggest using collections.OrderedDict as mapper. See example below.

You can grab the latest release from https://pypi.python.org/pypi/vdf or via pip

pip install vdf

import vdf

# parsing vdf from file or string
d = vdf.load(open('file.txt'))
d = vdf.loads(vdf_text)
d = vdf.parse(open('file.txt'))
d = vdf.parse(vdf_text)

# dumping dict as vdf to string
vdf_text = vdf.dumps(d)
indented_vdf = vdf.dumps(d, pretty=True)

# dumping dict as vdf to file
vdf.dump(d, open('file2.txt','w'), pretty=True)

Using OrderedDict to preserve key order.

import vdf
from collections import OrderedDict

# parsing vdf from file or string
d = vdf.load(open('file.txt'), mapper=OrderedDict)
d = vdf.loads(vdf_text, mapper=OrderedDict)