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

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.
from dynamic_conf import Config
class CONFIG(Config):
"""singleton to be used for configuring from os.environ and env.py"""
SECRET_KEY:str
ENV = "prod"
DB_NAME = "db"
DB_HOST = "127.0.0.1"
DB_USER = "postgres"
DB_PASS = None
- 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
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.