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Yet Another Python Configuration

Project description

Yapconf Documentation Status Updates

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.


Yapconf helps manage your python application’s configuration

  • JSON/YAML config file support
  • Etcd config support
  • Kubernetes ConfigMap support
  • Argparse integration
  • Environment Loading
  • Configuration watching
  • Migrate old configurations to new configurations
  • Generate documentation for your configuration

Quick Start

To install Yapconf, run this command in your terminal:

$ pip install yapconf

Then you can use Yapconf yourself!

Load your first Config

from yapconf import YapconfSpec

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

# Now add your sources (order does not matter)
my_spec.add_source('environment', 'environment')
my_spec.add_source('config.yaml', 'yaml', filename='/path/to/config.yaml')

# 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('config.yaml', 'environment')


Add CLI arguments based on your configuration

import argparse

parser = argparse.ArgumentParser()

# This will add --foo as an argument to your python program

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

# Now you can load these via load_config:
config = my_spec.load_config(cli_args, 'config.yaml', 'environment')

Watch your config for changes

def my_handler(old_config, new_config):
    print("TODO: Something interesting goes here.")

my_spec.spawn_watcher('config.yaml', target=my_handler)

Generate documentation for your config

# Show me some sweet Markdown documentation

# Or write it to a file

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


Documentation is available at


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


0.3.3 (2018-06-25)

  • Fixed an issue with dumping unicode in python 2 (#82)

0.3.2 (2018-06-11)

  • Fixed an issue with dumping box data to YAML (#78)

0.3.1 (2018-06-07)

  • Fixed an issue with environment loading (#74)
  • Fixed an issue with watching in-memory dictionaries (#75)

0.3.0 (2018-06-02)

  • Fixed an issue where utf-8 migrations would break (#46)
  • Added support for etcd (#47)
  • Added support for kubernetes (#47)
  • Added support for fallbacks for config values (#45)
  • Added the ability to generate documentation for your configuration (#63)
  • Added config watching capabilities (#36)

0.2.4 (2018-05-21)

  • Flattened configs before loading (#54)
  • Fixed bug where the fq_name was not correctly set for complex objects
  • Added dump_kwargs to migrate_config (#53)
  • Better error message when validation fails (#55)
  • Made all argparse items optional (#42)
  • Added support for long_description on config items (#44)
  • Added support for validator on config items (#43)

0.2.3 (2018-04-03)

  • Fixed Python2 unicode error (#41)

0.2.2 (2018-03-28)

  • Fixed Python2 compatibility error (#35)

0.2.1 (2018-03-11)

  • Added item to YapconfItemNotFound (#21)
  • Removed pytest-runner from setup_requires (#22)

0.2.0 (2018-03-11)

  • Added auto kebab-case for CLI arguments (#7)
  • Added the flag to apply environment prefixes (#11)
  • Added choices to item specification (#14)
  • Added alt_env_names to item specification (#13)

0.1.1 (2018-02-08)

  • Fixed bug where None was a respected value.

0.1.0 (2018-02-01)

  • First release on PyPI.

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