Features

• Easily pluggable and compatible with django-rest-framework

• Allows user to pick an additional authentication method from range of backends defined by a developer. Read more: backends

• Comes out of a box with email, SMS, mobile apps and YubiKey support

Supported versions

• Python 3.10, 3.11, 3.12, 3.13, 3.14

• Django 4.2, 5.0, 5.1, 5.2, 6.0, 6.1

• Django REST Framework 3.10, 3.11, 3.12, 3.13, 3.14, 3.15

• djangorestframework-simplejwt >= 4.3.0

Quick Start

1. Install the package using pip:

pip install django-trench

or add it to your requirements file.

2. Add trench library to INSTALLED_APPS in your app settings file:

INSTALLED_APPS = (
    ...,
    'rest_framework',
    'rest_framework.authtoken',  # In case of implementing Token Based Authentication
    ...,
    'trench',
)

3. Run migrations

Translation

Trench uses Transifex service to translate our package into other languages.

We will appreciate your help with translation.

https://www.transifex.com/merixstudio/django-trench/dashboard/

Local development

1. Clone the repo.

2. Crete virtual environment named e.g. .venv:

   virtualenv .venv

3. Activate the virtual environment:

   source .venv/bin/activate

4. Install dependencies:

   pip install black mypy
   pip install -r testproject/requirements.txt

5. Set environment variables:

   export PYTHONPATH=./testproject
   export DJANGO_SETTINGS_MODULE=settings
   export SECRET_KEY=YOURsecretGOEShere

6. Create a symbolic link to the trench/ module inside the testproject/ directory to emulate the trench package being installed.

   # make sure you run this command from the root directory of this project
   ln -s $(pwd)/trench/ $(pwd)/testproject/trench

7. Check whether the tests are passing:

   pytest --cov=testproject/trench testproject/tests/

Remember - anytime you change something in the django-trench source code you need to re-build and re-install the package (steps 6-7) for the changes to be present during e.g. running the tests.

8. [OPTIONAL] To make the tests run faster you can try to execute them in parallel.

   To do so you need to install the pytest-xdist package and run the tests with additional parameter of -n 8 where 8 stands for the number of threads that will be spawned for executing the tests. Depending on the machine you’re using using this tool can speed up the test execution process up to 5 times.

   pytest -n 8 --cov=testproject/trench testproject/tests/