django-otp

.. vim: tw=80 lbr

django-otp

.. image:: https://img.shields.io/pypi/v/django-otp?color=blue :target: https://pypi.org/project/django-otp/ :alt: PyPI .. image:: https://img.shields.io/readthedocs/django-otp-official :target: https://django-otp-official.readthedocs.io/ :alt: Documentation .. image:: https://img.shields.io/badge/github-django--otp-green :target: https://github.com/django-otp/django-otp :alt: Source

This project makes it easy to add support for one-time passwords <http://en.wikipedia.org/wiki/One-time_password>_ (OTPs) to Django. It can be integrated at various levels, depending on how much customization is required. It integrates with django.contrib.auth, although it is not a Django authentication backend. The primary target is developers wishing to incorporate OTPs into their Django projects as a form of two-factor authentication <http://en.wikipedia.org/wiki/Two-factor_authentication>_.

Several simple OTP plugins are included and more are available separately. This package also includes an implementation of OATH HOTP <http://tools.ietf.org/html/rfc4226>_ and TOTP <http://tools.ietf.org/html/rfc6238>_ for convenience, as these are standard OTP algorithms used by multiple plugins.

If you're looking for a higher-level or more opinionated solution, you might be interested in django-two-factor-auth <https://github.com/Bouke/django-two-factor-auth>_.

Status

This project is stable and maintained, but is no longer actively used by the author and is not seeing much ongoing investment.

Well-formed issues and pull requests are welcome, but please see CONTRIBUTING.rst first. General questions and ideas should be directed to the Discussions section; issues should be reserved for confirmed bugs.

.. end-of-doc-intro

Development

This project is built and managed with hatch. If you don't have hatch, I recommend installing it with pipx: pipx install hatch.

pyproject.toml defines several useful scripts for development and testing. The default environment includes all dev and test dependencies for quickly running tests. The test environment defines the test matrix for running the full validation suite. Everything is executed in the context of the Django project in test/test_project.

As a quick primer, hatch scripts can be run with hatch run [<env>:]<script>. To run linters and tests in the default environment, just run hatch run check. This should run tests with your default Python version and the latest Django. Other scripts include:

• manage: Run a management command via the test project. This can be used to generate migrations.
• lint: Run all linters.
• fix: Run all fixers to address linting issues. This may not fix every issue reported by lint.
• test: Run all tests.
• check: Run linters and tests.
• warn: Run tests with all warnings enabled. This is especially useful for seeing deprecation warnings in new versions of Django.
• cov: Run tests and print a code coverage report.

To run the full test matrix, run hatch run test:run. You will need multiple specific Python versions installed for this.

You can clean up the hatch environments with hatch env prune, for example to force dependency updates.

The project under test can be run as a simple interactive test environment. Run hatch run manage runserver and open it in a browser. This has an implementation of the login form and views with different combinations of decorators, which you can experiment with or use to test changes.

Configuration

By default, the test project uses SQLite. Because SQLite doesn't support row
locking, some concurrency tests will be skipped. To test against PostgreSQL, you
can add a local configuration file that points to your database.

Configuration is taken from TOML files stored under ``test/config``. A config
file named ``env-<env-name>.toml`` will be automatically applied when running
inside a matching hatch environment. For example, ``env-default.toml`` applies
to the default development environment and ``env-test.toml`` applies to the test
matrix environments.

With a wide-open PostgreSQL install, an ``env-test.toml`` might look like this:

.. code-block:: toml

   [database]
   ENGINE = "django.db.backends.postgresql"
   NAME = "django-otp"
   USER = "postgres"

For development, the config file can also be used to inject Django apps and
middleware, or to override arbitrary Django settings. See
``test/config/sample.toml`` for a full description.

You can also force a specific config file by setting the environment variable
``DJANGO_OTP_CONFIG`` to a path.


The Future
----------

Once upon a time, everything was usernames and passwords. Or even in the case of
other authentication mechanisms, a user was either authenticated or not
(anonymous in Django's terminology). Then there was two-factor authentication,
which could simply be an implementation detail in a binary authentication state,
but could also imply levels or degrees of authentication.

These days, it's increasingly common to see sites with more nuanced
authentication state. A site might remember who you are forever—so you're not
anonymous—but if you try to do anything private, you have to re-authenticate.
You may be able to choose from among all of the authentication mechanisms you
have configured, or only from some of them. Specific mechanisms may be required
for specific actions, such as using your U2F device to access your U2F settings.

In short, the world seems to be moving beyond the assumptions that originally
informed Django's essential authentication design. If I were still investing in
Django generally, I would probably start a new multi-factor authentication
project that would reflect these changes. It would incorporate the idea that a
user may be authenticated by various combinations of mechanisms at any time and
that different combinations may be required to satisfy diverse authorization
requirements across the site. It would most likely try to disentangle
authentication persistence from sessions, at least to some extent. Many sites
would not require all of this flexibility, but it would open up possibilities
for better experiences by not asking users for more than we require at any
point.

If anyone has a mind to take on a project like this, I'd be happy to offer
whatever advice or lessons learned that I can.


.. _hatch: https://hatch.pypa.io/
.. _pipx: https://pypa.github.io/pipx/