python 106 lines · 3 tabs

Django settings organization with environment-based configs

Priya Sharma Jan 2026
3 tabs
import os
from pathlib import Path

BASE_DIR = Path(__file__).resolve().parent.parent.parent

SECRET_KEY = os.environ.get('SECRET_KEY', 'dev-secret-key-change-in-production')

INSTALLED_APPS = [
    'django.contrib.admin',
    'django.contrib.auth',
    'django.contrib.contenttypes',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',
    # Third party
    'rest_framework',
    # Local apps
    'core',
    'accounts',
    'blog',
]

MIDDLEWARE = [
    'django.middleware.security.SecurityMiddleware',
    'django.contrib.sessions.middleware.SessionMiddleware',
    'django.middleware.common.CommonMiddleware',
    'django.middleware.csrf.CsrfViewMiddleware',
    'django.contrib.auth.middleware.AuthenticationMiddleware',
    'django.contrib.messages.middleware.MessageMiddleware',
    'django.middleware.clickjacking.XFrameOptionsMiddleware',
]

ROOT_URLCONF = 'config.urls'

TEMPLATES = [
    {
        'BACKEND': 'django.template.backends.django.DjangoTemplates',
        'DIRS': [BASE_DIR / 'templates'],
        'APP_DIRS': True,
        'OPTIONS': {
            'context_processors': [
                'django.template.context_processors.debug',
                'django.template.context_processors.request',
                'django.contrib.auth.context_processors.auth',
                'django.contrib.messages.context_processors.messages',
            ],
        },
    },
]
3 files · python Explain with highlit

I organize settings into base, development, and production modules. The base contains common settings, while dev and prod override specific values. I use environment variables for secrets via os.environ.get() or python-decouple. The django-environ package simplifies this with .env files. For different environments, I set DJANGO_SETTINGS_MODULE to the appropriate module. I keep sensitive settings out of version control using .env.example as a template. This approach makes deployments predictable and secure, with clear separation between local and production configs.


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