Yapconf¶

Yet Another Python Configuration. A simple way to manage configurations for python applications.

Yapconf allows you to easily manage your python application’s configuration. It handles everything involving your application’s configuration. Often times exposing your configuration in sensible ways can be difficult. You have to consider loading order, and lots of boilerplate code to update your configuration correctly. Now what about CLI support? Migrating old configs to the new config? Yapconf can help you.

Features¶

Yapconf helps manage your python application’s configuration

JSON/YAML config file support
Argparse integration
Environment Loading
Bootstrapping
Migrate old configurations to new configurations

Quick Start¶

To install Yapconf, run this command in your terminal:

$ pip install yapconf

Then you can use Yapconf yourself!

from yapconf import YapconfSpec

# First define a specification
my_spec = YapconfSpec({"foo": {"type": "str", "default": "bar"}}, env_prefix='MY_APP_')

# Then load the configuration in whatever order you want!
# load_config will automatically look for the 'foo' value in
# '/path/to/config.yml', then the environment, finally
# falling back to the default if it was not found elsewhere
config = my_spec.load_config('/path/to/config.yml', 'ENVIRONMENT')

print(config.foo)
print(config['foo'])

You can also add these arguments to the command line very easily

import argparse

parser = argparse.ArgumentParser()

# This will add --foo as an argument to your python program
my_spec.add_arguments(parser)

cli_args = vars(parser.parse_args(sys.argv[1:]))

# Now you can load these via load_config:
config = my_spec.load_config(cli_args, '/path/to/config.yml', 'ENVIRONMENT')

For more detailed information and better walkthroughs, checkout the documentation!

Documentation¶

Documentation is available at https://yapconf.readthedocs.io

Credits¶

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.