Convert Figma logo to code with AI

HBNetwork logopython-decouple

Strict separation of config from code.

2,776
193
2,776
8

Top Related Projects

Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

A Go port of Ruby's dotenv library (Loads environment variables from .env files)

6,576

A Ruby gem to load environment variables from `.env`.

13,088

Loads environment variables from `.env` to `getenv()`, `$_ENV` and `$_SERVER` automagically.

Quick Overview

Python Decouple is a configuration management library for Python applications. It allows you to separate configuration parameters from your code, making it easier to manage different environments and keep sensitive information secure. The library supports various configuration sources, including environment variables, ini files, and .env files.

Pros

  • Easy to use and integrate into existing projects
  • Supports multiple configuration sources (environment variables, ini files, .env files)
  • Provides type casting for configuration values
  • Helps improve security by keeping sensitive information separate from code

Cons

  • Limited built-in support for complex data structures (e.g., nested dictionaries)
  • May require additional setup for certain deployment environments
  • Documentation could be more comprehensive for advanced use cases

Code Examples

  1. Basic usage with environment variables:
from decouple import config

DEBUG = config('DEBUG', default=False, cast=bool)
SECRET_KEY = config('SECRET_KEY')
  1. Using a .env file:
# .env file
DATABASE_URL=postgresql://user:pass@localhost/dbname

# Python code
from decouple import config

DATABASE_URL = config('DATABASE_URL')
  1. Type casting and default values:
from decouple import config

MAX_CONNECTIONS = config('MAX_CONNECTIONS', default=100, cast=int)
ENABLE_FEATURE = config('ENABLE_FEATURE', default=False, cast=bool)

Getting Started

  1. Install the library:
pip install python-decouple
  1. Create a .env file in your project root:
DEBUG=True
SECRET_KEY=your-secret-key-here
DATABASE_URL=postgresql://user:pass@localhost/dbname
  1. Use the library in your Python code:
from decouple import config

DEBUG = config('DEBUG', default=False, cast=bool)
SECRET_KEY = config('SECRET_KEY')
DATABASE_URL = config('DATABASE_URL')

# Use the configuration values in your application

Competitor Comparisons

Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

Pros of python-dotenv

  • Supports multiple file formats (.env, .ini, .yaml)
  • Provides CLI tools for working with environment variables
  • Allows for variable expansion and interpolation

Cons of python-dotenv

  • Lacks type casting functionality
  • Does not provide a default value mechanism
  • May require additional configuration for complex setups

Code Comparison

python-dotenv:

from dotenv import load_dotenv
load_dotenv()
import os

database_url = os.getenv("DATABASE_URL")

python-decouple:

from decouple import config

database_url = config('DATABASE_URL')

python-dotenv focuses on loading environment variables from files, while python-decouple provides a more comprehensive configuration management system. python-dotenv is simpler to use for basic scenarios, but python-decouple offers more advanced features like type casting and default values.

python-dotenv is better suited for projects that need to work with multiple file formats or require CLI tools for environment variable management. On the other hand, python-decouple is more appropriate for projects that need robust configuration handling with type casting and default values.

Both libraries are actively maintained and have good community support, making them viable options for managing environment variables in Python projects.

A Go port of Ruby's dotenv library (Loads environment variables from .env files)

Pros of godotenv

  • Written in Go, offering better performance for Go applications
  • Supports multiple .env file loading and overriding
  • Provides a CLI tool for running commands with loaded environment variables

Cons of godotenv

  • Limited to .env file format, less flexible than python-decouple
  • Lacks built-in type casting for configuration values
  • No support for default values or configuration hierarchies

Code Comparison

python-decouple:

from decouple import config

DEBUG = config('DEBUG', default=False, cast=bool)
EMAIL = config('EMAIL', default='example@example.com')

godotenv:

import "github.com/joho/godotenv"

godotenv.Load()
debug := os.Getenv("DEBUG")
email := os.Getenv("EMAIL")

Summary

python-decouple offers more flexibility in configuration sources and value processing, while godotenv focuses on .env file handling with better performance for Go applications. python-decouple provides built-in type casting and default values, whereas godotenv relies on standard environment variable access. Choose based on your language preference and specific configuration needs.

6,576

A Ruby gem to load environment variables from `.env`.

Pros of dotenv

  • Supports multiple programming languages, not just Python
  • Allows for environment-specific files (e.g., .env.development, .env.production)
  • Provides a CLI tool for managing environment variables

Cons of dotenv

  • Requires explicit loading of environment variables in code
  • Less flexible configuration options compared to python-decouple
  • May have performance overhead when reading from .env files frequently

Code Comparison

python-decouple:

from decouple import config

DEBUG = config('DEBUG', default=False, cast=bool)
EMAIL = config('EMAIL', default='')

dotenv:

from dotenv import load_dotenv
import os

load_dotenv()
DEBUG = os.getenv('DEBUG', 'False') == 'True'
EMAIL = os.getenv('EMAIL', '')

Both libraries aim to separate configuration from code, but python-decouple offers more built-in functionality for casting and default values, while dotenv relies on Python's os module for variable retrieval. python-decouple provides a more streamlined approach to configuration management, whereas dotenv offers broader language support and additional tools for environment variable handling.

13,088

Loads environment variables from `.env` to `getenv()`, `$_ENV` and `$_SERVER` automagically.

Pros of phpdotenv

  • Supports multiple file formats (.env, .env.php, .env.dist)
  • Provides a Dotenv\Dotenv class for easy integration and configuration
  • Offers built-in variable validation and required checks

Cons of phpdotenv

  • Limited to PHP environments, unlike python-decouple's language-agnostic approach
  • Lacks some advanced features like type casting and default values
  • May require additional setup for non-standard environments

Code Comparison

python-decouple:

from decouple import config

DEBUG = config('DEBUG', default=False, cast=bool)
EMAIL = config('EMAIL', default='')

phpdotenv:

$dotenv = Dotenv\Dotenv::createImmutable(__DIR__);
$dotenv->load();

$debug = $_ENV['DEBUG'] ?? false;
$email = $_ENV['EMAIL'] ?? '';

Both libraries aim to separate configuration from code, but python-decouple offers a more streamlined API with built-in type casting and default values. phpdotenv requires manual handling of defaults and type conversion but provides more flexibility in file formats and validation options.

Convert Figma logo designs to code with AI

Visual Copilot

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

======================================================== Python Decouple: Strict separation of settings from code

Decouple helps you to organize your settings so that you can change parameters without having to redeploy your app.

It also makes it easy for you to:

#. store parameters in ini or .env files; #. define comprehensive default values; #. properly convert values to the correct data type; #. have only one configuration module to rule all your instances.

It was originally designed for Django, but became an independent generic tool for separating settings from code.

.. image:: https://img.shields.io/travis/henriquebastos/python-decouple.svg :target: https://travis-ci.org/henriquebastos/python-decouple :alt: Build Status

.. image:: https://img.shields.io/pypi/v/python-decouple.svg :target: https://pypi.python.org/pypi/python-decouple/ :alt: Latest PyPI version

.. contents:: Summary

Why?

The settings files in web frameworks store many different kinds of parameters:

  • Locale and i18n;
  • Middlewares and Installed Apps;
  • Resource handles to the database, Memcached, and other backing services;
  • Credentials to external services such as Amazon S3 or Twitter;
  • Per-deploy values such as the canonical hostname for the instance.

The first 2 are project settings and the last 3 are instance settings.

You should be able to change instance settings without redeploying your app.

Why not just use environment variables?

Envvars works, but since os.environ only returns strings, it's tricky.

Let's say you have an envvar DEBUG=False. If you run:

.. code-block:: python

if os.environ['DEBUG']:
    print True
else:
    print False

It will print True, because os.environ['DEBUG'] returns the string "False". Since it's a non-empty string, it will be evaluated as True.

Decouple provides a solution that doesn't look like a workaround: config('DEBUG', cast=bool).

Usage

Install:

.. code-block:: console

pip install python-decouple

Then use it on your settings.py.

#. Import the config object:

.. code-block:: python

 from decouple import config

#. Retrieve the configuration parameters:

.. code-block:: python

 SECRET_KEY = config('SECRET_KEY')
 DEBUG = config('DEBUG', default=False, cast=bool)
 EMAIL_HOST = config('EMAIL_HOST', default='localhost')
 EMAIL_PORT = config('EMAIL_PORT', default=25, cast=int)

Encodings

Decouple's default encoding is UTF-8.

But you can specify your preferred encoding.

Since config is lazy and only opens the configuration file when it's first needed, you have the chance to change its encoding right after import.

.. code-block:: python

from decouple import config
config.encoding = 'cp1251'
SECRET_KEY = config('SECRET_KEY')

If you wish to fall back to your system's default encoding use:

.. code-block:: python

import locale
from decouple import config
config.encoding = locale.getpreferredencoding(False)
SECRET_KEY = config('SECRET_KEY')

Where is the settings data stored?

Decouple supports both .ini and .env files.

Ini file


Simply create a ``settings.ini`` next to your configuration module in the form:

.. code-block:: ini

    [settings]
    DEBUG=True
    TEMPLATE_DEBUG=%(DEBUG)s
    SECRET_KEY=ARANDOMSECRETKEY
    DATABASE_URL=mysql://myuser:mypassword@myhost/mydatabase
    PERCENTILE=90%%
    #COMMENTED=42

*Note*: Since ``ConfigParser`` supports *string interpolation*, to represent the character ``%`` you need to escape it as ``%%``.


Env file

Simply create a .env text file in your repository's root directory in the form:

.. code-block:: console

DEBUG=True
TEMPLATE_DEBUG=True
SECRET_KEY=ARANDOMSECRETKEY
DATABASE_URL=mysql://myuser:mypassword@myhost/mydatabase
PERCENTILE=90%
#COMMENTED=42

Example: How do I use it with Django?

Given that I have a .env file in my repository's root directory, here is a snippet of my settings.py.

I also recommend using pathlib <https://docs.python.org/3/library/pathlib.html>_ and dj-database-url <https://pypi.python.org/pypi/dj-database-url/>_.

.. code-block:: python

# coding: utf-8
from decouple import config
from unipath import Path
from dj_database_url import parse as db_url


BASE_DIR = Path(__file__).parent

DEBUG = config('DEBUG', default=False, cast=bool)
TEMPLATE_DEBUG = DEBUG

DATABASES = {
    'default': config(
        'DATABASE_URL',
        default='sqlite:///' + BASE_DIR.child('db.sqlite3'),
        cast=db_url
    )
}

TIME_ZONE = 'America/Sao_Paulo'
USE_L10N = True
USE_TZ = True

SECRET_KEY = config('SECRET_KEY')

EMAIL_HOST = config('EMAIL_HOST', default='localhost')
EMAIL_PORT = config('EMAIL_PORT', default=25, cast=int)
EMAIL_HOST_PASSWORD = config('EMAIL_HOST_PASSWORD', default='')
EMAIL_HOST_USER = config('EMAIL_HOST_USER', default='')
EMAIL_USE_TLS = config('EMAIL_USE_TLS', default=False, cast=bool)

# ...

Attention with undefined parameters


In the above example, all configuration parameters except ``SECRET_KEY = config('SECRET_KEY')``
have a default value in case it does not exist in the ``.env`` file.

If ``SECRET_KEY`` is not present in the ``.env``, *decouple* will raise an ``UndefinedValueError``.

This *fail fast* policy helps you avoid chasing misbehaviours when you eventually forget a parameter.


Overriding config files with environment variables

Sometimes you may want to change a parameter value without having to edit the .ini or .env files.

Since version 3.0, decouple respects the unix way. Therefore environment variables have precedence over config files.

To override a config parameter you can simply do:

.. code-block:: console

DEBUG=True python manage.py

How does it work?

Decouple always searches for Options in this order:

#. Environment variables; #. Repository: ini or .env file; #. Default argument passed to config.

There are 4 classes doing the magic:

  • Config

    Coordinates all the configuration retrieval.

  • RepositoryIni

    Can read values from os.environ and ini files, in that order.

    Note: Since version 3.0 decouple respects unix precedence of environment variables over config files.

  • RepositoryEnv

    Can read values from os.environ and .env files.

    Note: Since version 3.0 decouple respects unix precedence of environment variables over config files.

  • AutoConfig

    This is a lazy Config factory that detects which configuration repository you're using.

    It recursively searches up your configuration module path looking for a settings.ini or a .env file.

    Optionally, it accepts search_path argument to explicitly define where the search starts.

The config object is an instance of AutoConfig that instantiates a Config with the proper Repository on the first time it is used.

Understanding the CAST argument

By default, all values returned by decouple are strings, after all they are read from text files or the envvars.

However, your Python code may expect some other value type, for example:

  • Django's DEBUG expects a boolean True or False.
  • Django's EMAIL_PORT expects an integer.
  • Django's ALLOWED_HOSTS expects a list of hostnames.
  • Django's SECURE_PROXY_SSL_HEADER expects a tuple with two elements, the name of the header to look for and the required value.

To meet this need, the config function accepts a cast argument which receives any callable, that will be used to transform the string value into something else.

Let's see some examples for the above mentioned cases:

.. code-block:: python

>>> os.environ['DEBUG'] = 'False'
>>> config('DEBUG', cast=bool)
False

>>> os.environ['EMAIL_PORT'] = '42'
>>> config('EMAIL_PORT', cast=int)
42

>>> os.environ['ALLOWED_HOSTS'] = '.localhost, .herokuapp.com'
>>> config('ALLOWED_HOSTS', cast=lambda v: [s.strip() for s in v.split(',')])
['.localhost', '.herokuapp.com']

>>> os.environ['SECURE_PROXY_SSL_HEADER'] = 'HTTP_X_FORWARDED_PROTO, https'
>>> config('SECURE_PROXY_SSL_HEADER', cast=Csv(post_process=tuple))
('HTTP_X_FORWARDED_PROTO', 'https')

As you can see, cast is very flexible. But the last example got a bit complex.

Built in Csv Helper


To address the complexity of the last example, *Decouple* comes with an extensible *Csv helper*.

Let's improve the last example:

.. code-block:: python

    >>> from decouple import Csv
    >>> os.environ['ALLOWED_HOSTS'] = '.localhost, .herokuapp.com'
    >>> config('ALLOWED_HOSTS', cast=Csv())
    ['.localhost', '.herokuapp.com']

You can also have a `default` value that must be a string to be processed by `Csv`.

.. code-block:: python

    >>> from decouple import Csv
    >>> config('ALLOWED_HOSTS', default='127.0.0.1', cast=Csv())
    ['127.0.0.1']

You can also parametrize the *Csv Helper* to return other types of data.

.. code-block:: python

    >>> os.environ['LIST_OF_INTEGERS'] = '1,2,3,4,5'
    >>> config('LIST_OF_INTEGERS', cast=Csv(int))
    [1, 2, 3, 4, 5]

    >>> os.environ['COMPLEX_STRING'] = '%virtual_env%\t *important stuff*\t   trailing spaces   '
    >>> csv = Csv(cast=lambda s: s.upper(), delimiter='\t', strip=' %*')
    >>> csv(os.environ['COMPLEX_STRING'])
    ['VIRTUAL_ENV', 'IMPORTANT STUFF', 'TRAILING SPACES']

By default *Csv* returns a ``list``, but you can get a ``tuple`` or whatever you want using the ``post_process`` argument:

.. code-block:: python

    >>> os.environ['SECURE_PROXY_SSL_HEADER'] = 'HTTP_X_FORWARDED_PROTO, https'
    >>> config('SECURE_PROXY_SSL_HEADER', cast=Csv(post_process=tuple))
    ('HTTP_X_FORWARDED_PROTO', 'https')


Built in Choices helper

Allows for cast and validation based on a list of choices. For example:

.. code-block:: python

>>> from decouple import config, Choices
>>> os.environ['CONNECTION_TYPE'] = 'usb'
>>> config('CONNECTION_TYPE', cast=Choices(['eth', 'usb', 'bluetooth']))
'usb'

>>> os.environ['CONNECTION_TYPE'] = 'serial'
>>> config('CONNECTION_TYPE', cast=Choices(['eth', 'usb', 'bluetooth']))
Traceback (most recent call last):
 ...
ValueError: Value not in list: 'serial'; valid values are ['eth', 'usb', 'bluetooth']

You can also parametrize Choices helper to cast to another type:

.. code-block:: python

>>> os.environ['SOME_NUMBER'] = '42'
>>> config('SOME_NUMBER', cast=Choices([7, 14, 42], cast=int))
42

You can also use a Django-like choices tuple:

.. code-block:: python

>>> USB = 'usb'
>>> ETH = 'eth'
>>> BLUETOOTH = 'bluetooth'
>>>
>>> CONNECTION_OPTIONS = (
...        (USB, 'USB'),
...        (ETH, 'Ethernet'),
...        (BLUETOOTH, 'Bluetooth'),)
...
>>> os.environ['CONNECTION_TYPE'] = BLUETOOTH
>>> config('CONNECTION_TYPE', cast=Choices(choices=CONNECTION_OPTIONS))
'bluetooth'

Frequently Asked Questions

  1. How to specify the .env path?

.. code-block:: python

import os
from decouple import Config, RepositoryEnv


config = Config(RepositoryEnv("path/to/.env"))

2) How to use python-decouple with Jupyter?

.. code-block:: python

import os
from decouple import Config, RepositoryEnv


config = Config(RepositoryEnv("path/to/.env"))

3) How to specify a file with another name instead of .env?

.. code-block:: python

import os
from decouple import Config, RepositoryEnv


config = Config(RepositoryEnv("path/to/somefile-like-env"))

4) How to define the path to my env file on a env var?

.. code-block:: python

import os
from decouple import Config, RepositoryEnv


DOTENV_FILE = os.environ.get("DOTENV_FILE", ".env") # only place using os.environ
config = Config(RepositoryEnv(DOTENV_FILE))

5) How can I have multiple env files working together?

.. code-block:: python

from collections import ChainMap
from decouple import Config, RepositoryEnv


config = Config(ChainMap(RepositoryEnv(".private.env"), RepositoryEnv(".env")))

Contribute

Your contribution is welcome.

Setup your development environment:

.. code-block:: console

git clone git@github.com:henriquebastos/python-decouple.git
cd python-decouple
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
tox

Decouple supports both Python 2.7 and 3.6. Make sure you have both installed.

I use pyenv <https://github.com/pyenv/pyenv#simple-python-version-management-pyenv>_ to manage multiple Python versions and I described my workspace setup on this article: The definitive guide to setup my Python workspace <https://medium.com/@henriquebastos/the-definitive-guide-to-setup-my-python-workspace-628d68552e14>_

You can submit pull requests and issues for discussion. However I only consider merging tested code.

License

The MIT License (MIT)

Copyright (c) 2017 Henrique Bastos

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.