goodconf 6.0.0

Installation

pip install goodconf or pip install goodconf[yaml] / pip install goodconf[toml] if parsing/generating YAML/TOML files is required. When running on Python 3.11+ the [toml] extra is only required for generating TOML files as parsing is supported natively.

Quick Start

Let’s use configurable Django settings as an example.

First, create a conf.py file in your project’s directory, next to settings.py:

import base64
import os

from goodconf import GoodConf, Field
from pydantic import PostgresDsn

class AppConfig(GoodConf):
    "Configuration for My App"
    DEBUG: bool
    DATABASE_URL: PostgresDsn = "postgres://localhost:5432/mydb"
    SECRET_KEY: str = Field(
        initial=lambda: base64.b64encode(os.urandom(60)).decode(),
        description="Used for cryptographic signing. "
        "https://docs.djangoproject.com/en/2.0/ref/settings/#secret-key")

    model_config = {"default_files": ["/etc/myproject/myproject.yaml", "myproject.yaml"]}

config = AppConfig()

Next, use the config in your settings.py file:

import dj_database_url
from .conf import config

config.load()

DEBUG = config.DEBUG
SECRET_KEY = config.SECRET_KEY
DATABASES = {"default": dj_database_url.parse(config.DATABASE_URL)}

In your initial developer installation instructions, give some advice such as:

python -c "import myproject; print(myproject.conf.config.generate_yaml(DEBUG=True))" > myproject.yaml

Better yet, make it a function and entry point so you can install your project and run something like generate-config > myproject.yaml.

Usage

Django Usage

A helper is provided which monkey-patches Django’s management commands to accept a --config argument. Replace your manage.py with the following:

# Define your GoodConf in `myproject/conf.py`
from myproject.conf import config

if __name__ == '__main__':
    config.django_manage()

Why?

I took inspiration from logan (used by Sentry) and derpconf (used by Thumbor). Both, however used Python files for configuration. I wanted a safer format and one that was easier to serialize data into from a configuration management system.

Contribute

Create virtual environment and install package and dependencies.

pip install -e ".[tests]"

Run tests

pytest

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