Skip to content

Latest commit

 

History

History
100 lines (71 loc) · 2.66 KB

README.rst

File metadata and controls

100 lines (71 loc) · 2.66 KB

steamfiles

Latest version Travis-CI Coverage
Python library for parsing the most common Steam file formats.
The library has a familiar JSON-like interface: load() / loads() for loading the data,
and dump() / dumps() for saving the data back to the file.

Format support

  Read Write
acf + +
appinfo.vdf + +
Manifest + +

Quickstart

steamfiles requires Python 3.5+

Install the latest stable version:

pip install steamfiles

Import a module for your desired format:

# Use one of these, or all at once!
from steamfiles import acf
from steamfiles import appinfo
from steamfiles import manifest

Easily load data, modify it and dump back:

with open('appinfo.vdf', 'rb') as f:
    data = appinfo.load(f)

# Calculate the total size of all apps.
total_size = sum(app['size'] for app in data.values())
print(total_size)

# Downgrade a change number for all apps.
for app in data.values():
    app['change_number'] -= 1

with open('new_appinfo.vdf', 'wb') as f:
    appinfo.dump(data, f)

Caution: all formats are parsed into dict by default, so the order of data is very likely not the same. As I'm not sure how Steam and related tools deal with rearranged data, pass an OrderedDict class to the wrapper parameter if you plan to write data back and use it later:

from collection import OrderedDict
data = acf.load(f, wrapper=OrderedDict)
# works with other formats as well

Documentation

ACF format overview

More in progress…

TODO

  • [✓] ACF support
  • [✓] appinfo.vdf support (Binary VDF)
  • [✓] Manifest support
  • [?] packageinfo.vdf (Another binary VDF)
  • [?] UserGameStats (achievements)
  • [?] Text VDF files (are they actually ACF?)

License

steamfiles is distributed under the terms of the MIT license.

See the bundled LICENSE file for more details.