dynamic-conf 1.1.0

Easy to manage Config variables separate from App code. Useful while developing and deploying( CI/CD) django web-apps

dynamic-config

Project configuration variables are declared beforehand and inferred from environment variables or configuration files. Useful while developing and deploying( CI/CD) django web-apps

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Install

pip install dynamic-conf

Features

• supports .env or .py files
• supports casting with type annotations
• You also don't need to include a sample file. Since the Config object would be able to generate .env.py itself.
• It also loads Configuration variables from environment variables. The order of preference is env variables > env.py
• Attributes are lazily evaluated.

Getting Started

• You need to subclass the Config class.
• The config file should define all the variables needed for a project.

# project/conf.py

from dynamic_conf import Config

class CONFIG(Config):
    """singleton to be used for configuring from os.environ and env.py"""

    SECRET_KEY:str      # required value

    # default settings
    ENV = "prod"        # optional field with a default value

    DB_NAME = "db"
    DB_HOST = "127.0.0.1"
    DB_USER = "postgres"
    DB_PASS = None      # even None could be given as default value

• to create project/env.py just run with the path to CONFIG class's module

# you could pass environment variables or set already with export
env DB_PASS='123' dynamic-conf project/conf.py

dynamic-conf project/conf.py DB_USER='user-1' DB_PASS='123' # pass as list of key-value pair

#to filter environment variables with a prefix
env VARS_PREFIX="PROD_" dynamic-conf project/conf.py PROD_DB_USER="user-2"

Usage

• To use the config simply import and use particular attribute

# project/settings.py
from conf import CONFIG
DATABASES = {
    "default": {
        "ENGINE": "django.contrib.gis.db.backends.postgis",
        "HOST": CONFIG.DB_HOST,
        "NAME": CONFIG.DB_NAME,
        "USER": CONFIG.DB_USER,
        "PASSWORD": CONFIG.DB_PASSWORD,
        "PORT": "5432",
    }
}

New release

• create a new release from Github web interface. The package is published to PyPI using Github Actions.