df_config

PyPI

Django, the web framework for perfectionists with deadlines, is based on a single settings Python module (defined in a environment variable).

df-config helps you to manage your settings in a more flexible way:

most common settings are defined out-of-the-box with good, auto-discovered, defaults,
other settings can be defined in environment variables, in a .ini file, or in a Python module,
settings can be dynamically defined, based on other settings.

These settings could be organized into three categories:

settings that are very common and that can be kept as-is for most projects (USE_TZ = True or MEDIA_URL = '/media/'),
settings that are specific to your project but common to all instances of your project (like INSTALLED_APPS),
settings that are installation-dependent (DATABASE_PASSWORD, …)

Moreover, there are dependencies between settings. For example, ADMIN_EMAIL, ALLOWED_HOSTS and CSRF_COOKIE_DOMAIN depend on the same domain name of your site, and SESSION_COOKIE_SECURE and CSRF_COOKIE_SECURE can be set only when you use TLS. df_config allows to use functions to dynamically define these settings using some other settings as parameters.

Finally, df_config dynamically merges several sources to define the final settings:

:mod:df_config.config.defaults that aims at providing good default values,
yourproject.defaults for your project-specific settings,
/etc/yourproject/settings(.py|.ini) for installation-dependent settings,
environment variables are also read if you prefer to use them.

df_config also defines settings that should be valid for most sites, based on common installed Django apps.

You can define a list of settings that are read from a traditionnal text configuration file (.ini format <https://docs.python.org/3/library/configparser.html>_). Finally, df_config also searches for environment variables, or local_settings.py and local_settings.ini setting files in the working directory.

Requirements and installation

df_config works with:

Python 3.6+,
Django 2.0+.

python -m pip install df_config

How to use it?

df_config assumes that your project has a main module yourproject. Then you just have two steps to follow:

update your manage.py file:

#!/usr/bin/env python
from df_config.manage import manage, set_env

set_env(module_name="yourproject")
if __name__ == "__main__":
    manage()

copy your current settings (as-is) into yourproject/defaults.py,

You can take a look to the resulting settings and from which source they are read:

python3 manage.py config python -v 2

If you want a single settings file, you can also create it:

python3 manage.py config python --filename settings.py

update your setup.py

You should the entry point in your setup.py file:

entry_points = {"console_scripts": ["yourproject-ctl = df_config.manage:manage"]}

Once installed, the command yourproject-ctl (in fact, you can change ctl by anything without hyphen) executes the standard maanage command.

dynamize your settings!

First, you can provide sensible defaults settings in yourproject.py and overwrite the dev settings in local_settings.py. Then real things can begin: For example, imagine that you currently have the following settings:

LOG_DIRECTORY = '/var/myproject/logs'
STATIC_ROOT = '/var/myproject/static'
MEDIA_ROOT = '/var/myproject/media'
FILE_UPLOAD_TEMP_DIR = '/var/myproject/tmp'

If you change the base directory /var/myproject, four variables needs to be changed (and you will forget to change at least one). Now, you can write:

LOCAL_PATH = '/var/myproject'
LOG_DIRECTORY = '{LOCAL_PATH}/logs'
STATIC_ROOT = '{LOCAL_PATH}/static'
MEDIA_ROOT = '{LOCAL_PATH}/media'
FILE_UPLOAD_TEMP_DIR = '{LOCAL_PATH}/tmp'

Now, you just have to redefine LOCAL_PATH; but you can even go slightly further:

from df_config.config.dynamic_settings import Directory
LOCAL_PATH = Directory('/var/myproject')
LOG_DIRECTORY = Directory('{LOCAL_PATH}/logs')
STATIC_ROOT = Directory('{LOCAL_PATH}/static')
MEDIA_ROOT = Directory('{LOCAL_PATH}/media')
FILE_UPLOAD_TEMP_DIR = Directory('{LOCAL_PATH}/tmp')

If you run the check command, you will be warned for missing directories, and the collectstatic and migrate commands will attempt to create them. Of course, you still have settings.MEDIA_ROOT == '/var/myproject/media' in your code, when settings are loaded.

You can use more complex things, instead of:

SERVER_BASE_URL = 'http://www.example.com'
SERVER_NAME = 'www.example.com'
USE_SSL = False
ALLOWED_HOSTS = ['www.example.com']
CSRF_COOKIE_DOMAIN = 'www.example.com'

You could just write:

from urllib.parse import urlparse
from df_config.config.dynamic_settings import CallableSetting

SERVER_BASE_URL = 'http://www.example.com'
SERVER_NAME = CallableSetting(lambda x: urlparse(x['SERVER_BASE_URL']).hostname, 'SERVER_BASE_URL')
USE_SSL = CallableSetting(lambda x: urlparse(x['SERVER_BASE_URL']).scheme == 'https', 'SERVER_BASE_URL')
ALLOWED_HOSTS = CallableSetting(lambda x: [urlparse(x['SERVER_BASE_URL']).hostname], 'SERVER_BASE_URL')
CSRF_COOKIE_DOMAIN = CallableSetting(lambda x: urlparse(x['SERVER_BASE_URL']).hostname, 'SERVER_BASE_URL')

Ok, it looks a bit more complex but df-config defines them for you by default, based on the SERVER_BASE_URL setting. In fact, you just have to write the right SERVER_BASE_URL and all the other settings are automatically defined.

Configuration files and environment variables

Your user probably prefer use .ini files instead of Python ones or use environment variables. By default, df_config searches for a list INI_MAPPING into the module yourproject.iniconf or uses df_config.iniconf.INI_MAPPING.

from df_config.config.fields import ConfigField
INI_MAPPING = [ConfigField("global.server_url", "SERVER_BASE_URL", help_str="Public URL of your website.", env_name="SERVER_BASE_URL")]

Some specialized classes are available in df_config.config.fields: CharConfigField, IntegerConfigField, FloatConfigField, ListConfigField, BooleanConfigField, ChoiceConfigFile. You can also pickup some predefined list in df_config.iniconf.

You can also use environment variables instead of an .ini file (only for values in the INI_MAPPING list):

export SERVER_URL=http://www.example-2.com
export DATABASE_URL=postgres://user:password@localhost:5432/dbname?sslmode=disable
export REDIS_URL=rediss://:password@localhost:6379/1
python3 manage.py config python -v 2 | grep SERVER_BASE_URL

You can check the current config as a .ini file or as environment variables:

export SERVER_URL=http://www.example-2.com
export DATABASE_URL=postgres://user:password@localhost:5432/dbname?sslmode=disable
export REDIS_URL=rediss://:password@localhost:6379/1
python3 manage.py config env
python3 manage.py config ini

dynamic settings

By default, any str is assumed to be a template string: for example, LOG_DIRECTORY = '{LOCAL_PATH}/logs' needs LOCAL_PATH to be defined. So, if one of your setting include such values, it need to be encapsulated:

from df_config.config.dynamic_settings import RawValue
LOG_DIRECTORY = RawValue('{LOCAL_PATH}/logs')

Other dynamic classes are:

from df_config.config.dynamic_settings import Directory, AutocreateFileContent, SettingReference, CallableSetting, ExpandIterable
from df_config.guesses.misc import generate_secret_key, secure_hsts_seconds
DIRNAME = Directory("/tmp/directory")
# creates /tmp/directory with collectstatic/migrate commands, otherwise you have a warning 
SECRET_KEY = AutocreateFileContent("{LOCAL_PATH}/secret_key.txt", generate_secret_key, mode=0o600, use_collectstatic=False,use_migrate=True)
# if the file does not exist, SECRET_KEY = generate_secret_key()
# if the file does exist, SECRET_KEY is equal to its content
# if the migrate command is called and the file does not exist, it is created and the result of generate_secret_key() is written to it
TEMPLATE_DEBUG = SettingReference('DEBUG')
# TEMPLATE_DEBUG is always equal to DEBUG, even if DEBUG is defined in another file
SECURE_HSTS_SECONDS = CallableSetting(secure_hsts_seconds, "USE_SSL")
# the secure_hsts_seconds is called with a dict that contains the currently resolved settings
# at least USE_SSL is present in this dict (maybe some other values are also defined)
# the list of required settings can be directly set as an attribute of the callable:
# secure_hsts_seconds.required_settings = ["USE_SSL"]
# SECURE_HSTS_SECONDS = CallableSetting(secure_hsts_seconds)
INSTALLED_APPS = ["django.contrib.admin", ..., ExpandIterable("EXTRA_APPS"), "django.contrib.auth"]
# EXTRA_APPS must be a list, whose values are inserted in the final valaues

server command

You can choose the application server used in production:

DF_SERVER = "gunicorn"  # "gunicorn" or "daphne"

A new Django command server is available and launches gunicorn or daphne. The application and the listen address/port are specified so you do no have to set them.

Django app detection

A few well-known Django applications are automatically detected and added to the list of INSTALLED_APPS:

django-pipeline
django-debug-toolbar
django-allauth
whitenoise
django-csp
celery
df_websockets
django-channels
django-auth-ldap
django-cors-headers
django-hosts
django-minio-storage
django—pam
django-prometheus
django-radius
django-redis-sessions
django-smart-selects
sentry.io

Defaults settings are also proposed so these applications should be working out of the box.

Metadata

Release files for df_config 1.3.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for df_config 1.3.2
File	Size	Uploaded	Provenance
df_config-1.3.2.tar.gz	151.9 kB	Oct 21, 2026	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for df_config 1.3.2
File	Interpreter	ABI	Platform	Reset
df_config-1.3.2-py3-none-any.whl 174.5 kB Oct 21, 2026 Without provenance	Python 3	none	any	Details

Total release size: 326.4 kB

Release files / df_config-1.3.2.tar.gz

Download URL	df_config-1.3.2.tar.gz
Size	151.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`0c306e5f1dc359d351d82764ca7803e0a3924cdd4cc6ec0baf006b80ef29a9ae`
BLAKE2b-256 checksum How to use checksums	`2c0fdf973a810dae68eee5cd195662db17b052d7114a8112a6f8308717ad3f94`
Upload date	Oct 21, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.13.4 {"installer":{"name":"uv","version":"0.13.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"26.04","id":"resolute","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}`

Release files / df_config-1.3.2-py3-none-any.whl

Download URL	df_config-1.3.2-py3-none-any.whl
Size	174.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`6da5d71c223d011943ff3b86e6bcc62f71d2cee7bd6344eccae9e23090abe9d9`
BLAKE2b-256 checksum How to use checksums	`e59a5508a1bf7970ccf3868a96c6fa4ecfc1e90be166b4d4483b6771e7f12dc3`
Upload date	Oct 21, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.13.4 {"installer":{"name":"uv","version":"0.13.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"26.04","id":"resolute","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}`

Security for df_config 1.3.2

Report project as malware

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.