Pyfig

Pyfig is a fantastic software tool that parses various config formats with ease, written in just above 100 lines of Python code. It supports comments and has a very simple and easy-to-use interface. If you need a clean and efficient solution for parsing your config files, Pyfig is definitely worth checking out.

To illustrate how easy it is to use Pyfig, here's an example of a typical config file that Pyfig can handle:

# This is a configuration file
max_number_of_tries = 3
player_name = toaster_phun
score = 1104
# do not edit this
session_id = 23ade_asdfeasd3#$rfasdasdkjzzei3
# connection type (comment out for autodetection)
;connection_type= DSL

To parse the config file, you simply need to import Pyfig and initialize the class with the path to the config file. Then, you can extract whatever information you need using the provided functions:

from pyfig import Pyfig

# init the class with path to config file
pyfig = Pyfig("path/to/config")

# print player_name
print(pyfig.grab("player_name"))

# print the whole dict
print(pyfig.config)

If you want to use Pyfig in your own project, it's a snap to import and start using. Just put the pyfig.py file in your working directory, or somewhere that's easy for the __import__ function to find. Then, you can import the module using either:

import pyfig
from pyfig import Pyfig

Initializing the class is very straightforward, since all you need to do is pass the filepath of the config file as an argument:

the_configuration = pyfig.Pyfig('path/to/config/file')

Once you have the class initialized, you can extract any information you need using the grab() method. You can also count the number of configurations in the file, view the raw config or configuration keys by accessing certain attributes of the class, or use the change() method to change specific configurations in the file.

Overall, Pyfig is a powerful and easy-to-use config file parser that makes managing your configurations a breeze. Try it out today!