The Django docs has now been moved to the main Celery docs.

docs/django/djdo/first-steps-with-django.rst

@@ -0,0 +1,162 @@
+=========================
+ First steps with Django
+=========================
+
+Configuring your Django project to use Celery
+=============================================
+
+You need four simple steps to use celery with your Django project.
+
+    1. Install the ``django-celery`` library::
+
+        $ pip install django-celery
+
+    2. Add the following lines to ``settings.py``::
+
+        import djcelery
+        djcelery.setup_loader()
+
+    3. Add ``djcelery`` to ``INSTALLED_APPS``.
+
+    4. Create the celery database tables.
+
+        If you are using south_ for schema migrations, you'll want to::
+
+            $ python manage.py migrate djcelery
+
+        For those who are not using south, a normal ``syncdb`` will work::
+
+            $ python manage.py syncdb
+
+.. _south: http://pypi.python.org/pypi/South/
+
+By default Celery uses `RabbitMQ`_ as the broker, but there are several
+alternatives to choose from, see :ref:`celerytut-broker`.
+
+All settings mentioned in the Celery documentation should be added
+to your Django project's ``settings.py`` module. For example
+we can configure the :setting:`BROKER_URL` setting to specify
+what broker to use::
+
+    BROKER_URL = "amqp://guest:guest@localhost:5672/"
+
+That's it.
+
+.. _`RabbitMQ`: http://www.rabbitmq.com/
+
+Special note for mod_wsgi users
+-------------------------------
+
+If you're using ``mod_wsgi`` to deploy your Django application you need to
+include the following in your ``.wsgi`` module::
+
+    import djcelery
+    djcelery.setup_loader()
+
+Defining and executing tasks
+============================
+
+Tasks are defined by wrapping functions in the ``@task`` decorator.
+It is a common practice to put these in their own module named ``tasks.py``,
+and the worker will automatically go through the apps in ``INSTALLED_APPS``
+to import these modules.
+
+For a simple demonstration we can create a new Django app called
+``celerytest``.  To create this app you need to be in the directoryw
+of your Django project where ``manage.py`` is located and execute::
+
+    $ python manage.py startapp celerytest
+
+After our new app has been created we can define our task by editing
+a new file called ``celerytest/tasks.py``:
+
+.. code-block:: python
+
+    from celery import task
+
+    @task
+    def add(x, y):
+        return x + y
+
+Our example task is pretty pointless, it just returns the sum of two
+arguments, but it will do for demonstration, and it is referenced in many
+parts of the Celery documentation.
+
+Starting the worker process
+===========================
+
+You can start a worker instance by using the ``celeryd`` manage command::
+
+    $ python manage.py celeryd --loglevel=info
+
+In production you probably want to run the worker in the
+background as a daemon, see `Running Celery as a daemon`_.
+For a complete listing of the command line options available, use the help command::
+
+    $ python manage.py help celeryd
+
+.. _`Running Celery as a Daemon`:
+    http://docs.celeryq.org/en/latest/cookbook/daemonizing.html
+
+Executing our task
+==================
+
+Now that the worker is running we can open up a new terminal to actually
+execute our task::
+
+    >>> from celerytest.tasks import add
+
+    >>> add.delay(2, 2)
+
+
+The ``delay`` method is a handy shortcut to the ``apply_async`` method which
+enables you to have greater control of the task execution.
+To read more about executing tasks, including specifying the time at which
+the task should execute see :ref:`guide-executing`.
+
+.. note::
+
+    Tasks need to be stored in a real module, they can't
+    be defined in the python shell or ipython/bpython. This is because the
+    worker server must be able to import the task function so that it can
+    execute it.
+
+The task should now be executed by the worker you started earlier,
+and you can verify that by looking at the workers console output.
+
+Applying a task returns an :class:`~celery.result.AsyncResult` instance,
+which can be used to check the state of the task, wait for the task to finish
+or get its return value (or if the task failed, the exception and traceback).
+
+By default django-celery stores this state in the Django database,
+you may consider choosing an alternate result backend or disabling
+states alltogether (see :ref:`task-result-backends`).
+
+To demonstrate how the results work we can execute the task again,
+but this time keep the result instance returned::
+
+    >>> result = add.delay(4, 4)
+    >>> result.ready() # returns True if the task has finished processing.
+    False
+    >>> result.result # task is not ready, so no return value yet.
+    None
+    >>> result.get()   # Waits until the task is done and returns the retval.
+    8
+    >>> result.result # direct access to result, doesn't re-raise errors.
+    8
+    >>> result.successful() # returns True if the task didn't end in failure.
+    True
+
+If the task raises an exception, the return value of ``result.successful()``
+will be ``False``, and ``result.result`` will contain the exception instance
+raised by the task.
+
+Where to go from here
+=====================
+
+To learn more you should read the `Celery User Guide`_, and the
+`Celery Documentation`_ in general
+
+
+.. _`Celery User Guide`: http://docs.celeryproject.org/en/latest/userguide/
+.. _`Celery Documentation`: http://docs.celeryproject.org/

docs/django/djdo/index.rst

@@ -0,0 +1,15 @@
+.. _django:
+
+=========
+ Django
+=========
+
+:Release: |version|
+:Date: |today|
+
+.. toctree::
+    :maxdepth: 2
+
+    first-steps-with-django
+    unit-testing
+

docs/django/djdo/unit-testing.rst

@@ -0,0 +1,56 @@
+================
+ Unit Testing
+================
+
+Testing with Django
+-------------------
+
+The first problem you'll run in to when trying to write a test that runs a
+task is that Django's test runner doesn't use the same database as your celery
+daemon is using. If you're using the database backend, this means that your
+tombstones won't show up in your test database and you won't be able to
+get the return value or check the status of your tasks.
+
+There are two ways to get around this. You can either take advantage of
+``CELERY_ALWAYS_EAGER = True`` to skip the daemon, or you can avoid testing
+anything that needs to check the status or result of a task.
+
+Using a custom test runner to test with celery
+----------------------------------------------
+
+If you're going the ``CELERY_ALWAYS_EAGER`` route, which is probably better than
+just never testing some parts of your app, a custom Django test runner does the
+trick. Celery provides a simple test runner, but it's easy enough to roll your
+own if you have other things that need to be done.
+http://docs.djangoproject.com/en/dev/topics/testing/#defining-a-test-runner
+
+For this example, we'll use the ``djcelery.contrib.test_runner`` to test the
+``add`` task from the :ref:`guide-tasks` examples in the Celery
+documentation.
+
+To enable the test runner, set the following settings:
+
+.. code-block:: python
+
+    TEST_RUNNER = 'djcelery.contrib.test_runner.CeleryTestSuiteRunner'
+
+Then we can put the tests in a ``tests.py`` somewhere:
+
+.. code-block:: python
+
+    from django.test import TestCase
+    from myapp.tasks import add
+
+    class AddTestCase(TestCase):
+
+        def testNoError(self):
+            """Test that the ``add`` task runs with no errors,
+            and returns the correct result."""
+            result = add.delay(8, 8)
+
+            self.assertEquals(result.get(), 16)
+            self.assertTrue(result.successful())
+
+
+This test assumes that you put your example ``add`` task in ``maypp.tasks``
+so adjust the import for wherever you put the class.

docs/index.rst

@@ -14,6 +14,7 @@ Contents:
     :maxdepth: 1
 
     configuration
+    django
     cookbook/index
     contributing
     community