django1/docs/topics/testing/overview.txt

=========================
Writing and running tests
=========================

.. module:: django.test
   :synopsis: Testing tools for Django applications.

.. seealso::

    The :doc:`testing tutorial </intro/tutorial05>`, the :doc:`testing tools
    reference </topics/testing/tools>`, and the :doc:`advanced testing topics
    </topics/testing/advanced>`.

This document is split into two primary sections. First, we explain how to write
tests with Django. Then, we explain how to run them.

Writing tests
=============

Django's unit tests use a Python standard library module: :mod:`unittest`. This
module defines tests using a class-based approach.

.. admonition:: unittest2

    .. deprecated:: 1.7

    Python 2.7 introduced some major changes to the ``unittest`` library,
    adding some extremely useful features. To ensure that every Django project
    could benefit from these new features, Django used to ship with a copy of
    Python 2.7's ``unittest`` backported for Python 2.6 compatibility.

    Since Django no longer supports Python versions older than 2.7,
    ``django.utils.unittest`` is deprecated. Simply use ``unittest``.

.. _unittest2: https://pypi.python.org/pypi/unittest2

Here is an example which subclasses from :class:`django.test.TestCase`,
which is a subclass of :class:`unittest.TestCase` that runs each test inside a
transaction to provide isolation::

    from django.test import TestCase
    from myapp.models import Animal

    class AnimalTestCase(TestCase):
        def setUp(self):
            Animal.objects.create(name="lion", sound="roar")
            Animal.objects.create(name="cat", sound="meow")

        def test_animals_can_speak(self):
            """Animals that can speak are correctly identified"""
            lion = Animal.objects.get(name="lion")
            cat = Animal.objects.get(name="cat")
            self.assertEqual(lion.speak(), 'The lion says "roar"')
            self.assertEqual(cat.speak(), 'The cat says "meow"')

When you :ref:`run your tests <running-tests>`, the default behavior of the
test utility is to find all the test cases (that is, subclasses of
:class:`unittest.TestCase`) in any file whose name begins with ``test``,
automatically build a test suite out of those test cases, and run that suite.

For more details about :mod:`unittest`, see the Python documentation.

.. warning::

    If your tests rely on database access such as creating or querying models,
    be sure to create your test classes as subclasses of
    :class:`django.test.TestCase` rather than :class:`unittest.TestCase`.

    Using :class:`unittest.TestCase` avoids the cost of running each test in a
    transaction and flushing the database, but if your tests interact with
    the database their behavior will vary based on the order that the test
    runner executes them. This can lead to unit tests that pass when run in
    isolation but fail when run in a suite.

.. _running-tests:


Running tests
=============

Once you've written tests, run them using the :djadmin:`test` command of
your project's ``manage.py`` utility::

    $ ./manage.py test

Test discovery is based on the unittest module's :py:ref:`built-in test
discovery <unittest-test-discovery>`.  By default, this will discover tests in
any file named "test*.py" under the current working directory.

You can specify particular tests to run by supplying any number of "test
labels" to ``./manage.py test``. Each test label can be a full Python dotted
path to a package, module, ``TestCase`` subclass, or test method. For instance::

    # Run all the tests in the animals.tests module
    $ ./manage.py test animals.tests

    # Run all the tests found within the 'animals' package
    $ ./manage.py test animals

    # Run just one test case
    $ ./manage.py test animals.tests.AnimalTestCase

    # Run just one test method
    $ ./manage.py test animals.tests.AnimalTestCase.test_animals_can_speak

You can also provide a path to a directory to discover tests below that
directory::

    $ ./manage.py test animals/

You can specify a custom filename pattern match using the ``-p`` (or
``--pattern``) option, if your test files are named differently from the
``test*.py`` pattern::

    $ ./manage.py test --pattern="tests_*.py"

If you press ``Ctrl-C`` while the tests are running, the test runner will
wait for the currently running test to complete and then exit gracefully.
During a graceful exit the test runner will output details of any test
failures, report on how many tests were run and how many errors and failures
were encountered, and destroy any test databases as usual. Thus pressing
``Ctrl-C`` can be very useful if you forget to pass the :djadminopt:`--failfast`
option, notice that some tests are unexpectedly failing, and want to get details
on the failures without waiting for the full test run to complete.

If you do not want to wait for the currently running test to finish, you
can press ``Ctrl-C`` a second time and the test run will halt immediately,
but not gracefully. No details of the tests run before the interruption will
be reported, and any test databases created by the run will not be destroyed.

.. admonition:: Test with warnings enabled

    It's a good idea to run your tests with Python warnings enabled:
    ``python -Wall manage.py test``. The ``-Wall`` flag tells Python to
    display deprecation warnings. Django, like many other Python libraries,
    uses these warnings to flag when features are going away. It also might
    flag areas in your code that aren't strictly wrong but could benefit
    from a better implementation.


.. _the-test-database:

The test database
-----------------

Tests that require a database (namely, model tests) will not use your "real"
(production) database. Separate, blank databases are created for the tests.

Regardless of whether the tests pass or fail, the test databases are destroyed
when all the tests have been executed.

.. versionadded:: 1.8

   You can prevent the test databases from being destroyed by adding the
   :djadminopt:`--keepdb` flag to the test command. This will preserve the test
   database between runs. If the database does not exist, it will first
   be created. Any migrations will also be applied in order to keep it
   up to date.

By default the test databases get their names by prepending ``test_``
to the value of the :setting:`NAME` settings for the databases
defined in :setting:`DATABASES`. When using the SQLite database engine
the tests will by default use an in-memory database (i.e., the
database will be created in memory, bypassing the filesystem
entirely!). If you want to use a different database name, specify
:setting:`NAME <TEST_NAME>` in the :setting:`TEST <DATABASE-TEST>`
dictionary for any given database in :setting:`DATABASES`.

.. versionchanged:: 1.7

    On PostgreSQL, :setting:`USER` will also need read access to the built-in
    ``postgres`` database.

Aside from using a separate database, the test runner will otherwise
use all of the same database settings you have in your settings file:
:setting:`ENGINE <DATABASE-ENGINE>`, :setting:`USER`, :setting:`HOST`, etc. The
test database is created by the user specified by :setting:`USER`, so you'll
need to make sure that the given user account has sufficient privileges to
create a new database on the system.

For fine-grained control over the character encoding of your test
database, use the :setting:`CHARSET <TEST_CHARSET>` TEST option. If you're using
MySQL, you can also use the :setting:`COLLATION <TEST_COLLATION>` option to
control the particular collation used by the test database. See the
:doc:`settings documentation </ref/settings>` for details of these
and other advanced settings.

.. versionchanged:: 1.7

   The different options in the :setting:`TEST <DATABASE-TEST>` database
   setting used to be separate options in the database settings dictionary,
   prefixed with ``TEST_``.

.. admonition:: Finding data from your production database when running tests?

    If your code attempts to access the database when its modules are compiled,
    this will occur *before* the test database is set up, with potentially
    unexpected results. For example, if you have a database query in
    module-level code and a real database exists, production data could pollute
    your tests. *It is a bad idea to have such import-time database queries in
    your code* anyway - rewrite your code so that it doesn't do this.

    .. versionadded:: 1.7

        This also applies to customized implementations of
        :meth:`~django.apps.AppConfig.ready()`.

.. seealso::

    The :ref:`advanced multi-db testing topics <topics-testing-advanced-multidb>`.

.. _order-of-tests:

Order in which tests are executed
---------------------------------

In order to guarantee that all ``TestCase`` code starts with a clean database,
the Django test runner reorders tests in the following way:

* All :class:`~django.test.TestCase` subclasses are run first.

* Then, all other Django-based tests (test cases based on
  :class:`~django.test.SimpleTestCase`, including
  :class:`~django.test.TransactionTestCase`) are run with no particular
  ordering guaranteed nor enforced among them.

* Then any other :class:`unittest.TestCase` tests (including doctests) that may
  alter the database without restoring it to its original state are run.

.. note::

    The new ordering of tests may reveal unexpected dependencies on test case
    ordering. This is the case with doctests that relied on state left in the
    database by a given :class:`~django.test.TransactionTestCase` test, they
    must be updated to be able to run independently.

Other test conditions
---------------------

Regardless of the value of the :setting:`DEBUG` setting in your configuration
file, all Django tests run with :setting:`DEBUG`\=False. This is to ensure that
the observed output of your code matches what will be seen in a production
setting.

Caches are not cleared after each test, and running "manage.py test fooapp" can
insert data from the tests into the cache of a live system if you run your
tests in production because, unlike databases, a separate "test cache" is not
used. This behavior `may change`_ in the future.

.. _may change: https://code.djangoproject.com/ticket/11505

Understanding the test output
-----------------------------

When you run your tests, you'll see a number of messages as the test runner
prepares itself. You can control the level of detail of these messages with the
``verbosity`` option on the command line::

    Creating test database...
    Creating table myapp_animal
    Creating table myapp_mineral
    Loading 'initial_data' fixtures...
    No fixtures found.

This tells you that the test runner is creating a test database, as described
in the previous section.

Once the test database has been created, Django will run your tests.
If everything goes well, you'll see something like this::

    ----------------------------------------------------------------------
    Ran 22 tests in 0.221s

    OK

If there are test failures, however, you'll see full details about which tests
failed::

    ======================================================================
    FAIL: test_was_published_recently_with_future_poll (polls.tests.PollMethodTests)
    ----------------------------------------------------------------------
    Traceback (most recent call last):
      File "/dev/mysite/polls/tests.py", line 16, in test_was_published_recently_with_future_poll
        self.assertEqual(future_poll.was_published_recently(), False)
    AssertionError: True != False

    ----------------------------------------------------------------------
    Ran 1 test in 0.003s

    FAILED (failures=1)

A full explanation of this error output is beyond the scope of this document,
but it's pretty intuitive. You can consult the documentation of Python's
:mod:`unittest` library for details.

Note that the return code for the test-runner script is 1 for any number of
failed and erroneous tests. If all the tests pass, the return code is 0. This
feature is useful if you're using the test-runner script in a shell script and
need to test for success or failure at that level.

Speeding up the tests
---------------------

In recent versions of Django, the default password hasher is rather slow by
design. If during your tests you are authenticating many users, you may want
to use a custom settings file and set the :setting:`PASSWORD_HASHERS` setting
to a faster hashing algorithm::

    PASSWORD_HASHERS = (
        'django.contrib.auth.hashers.MD5PasswordHasher',
    )

Don't forget to also include in :setting:`PASSWORD_HASHERS` any hashing
algorithm used in fixtures, if any.