Python app configuration library to instantiate Python objects from various configuration inputs.
praline-config
endeavours to make gathering configuration inputs from various
sources as low-friction and straightforward as possible.
pip install praline-config
Using praline.config
has a few steps...
- Write configuration data in a supported format(yaml, toml, dotenv, etc..)
- Define a dataclass to hold your configuration data
- Instantiate the configuration object
server_address: "www.example.com"
threads: 4
#!/usr/bin/env python3
from dataclasses import dataclass
from praline.config import AppConfigBase
@dataclass
class AppConfig(AppConfigBase):
server_address: str = None
threads: int = None
def main():
app_config: AppConfig = AppConfig.load(config="example.yaml")
print(f"Server: {app_config.server_address}")
print(f"Threads: {app_config.threads}")
if __name__ == "__main__":
exit(main())
Server: www.example.com
Threads: 4
praline-config
leverages the python-configuration
package to handle the raw
configuration data, so any format it supports is supported. Additionally,
praline-config
can handle importing dotenv
formatted files and binding
environment variable values to fields in your configuration class. Finally, it
can also incorporate values gathered from the CLI or similar through a
dictionary.
See the documentation for python-configuration for the complete list of supported formats.
A library to load configuration parameters hierarchically from multiple sources and formats
python-configuration
is an excellent library designed to interface with many
different sources commonly used to store configuration data. We use it here as
an adaptor for the various configuration sources being used as inputs.
Python-dotenv reads key-value pairs from a .env file and can set them as environment variables. It helps in the development of applications following the 12-factor principles.
Used to load .env
formatted files.