[1.5.x] Fixed #19497 -- Refactored testing docs.

Thanks Tim Graham for the review and suggestions.

d19109fd37 from master.
This commit is contained in:
Ramiro Morales 2012-12-21 21:59:06 -03:00
parent 3aba929bcc
commit 903892be7b
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@ -180,7 +180,11 @@ testing of Django applications:
:doc:`Overview <ref/django-admin>` | :doc:`Overview <ref/django-admin>` |
:doc:`Adding custom commands <howto/custom-management-commands>` :doc:`Adding custom commands <howto/custom-management-commands>`
* **Testing:** :doc:`Overview <topics/testing>` * **Testing:**
:doc:`Introduction <topics/testing/index>` |
:doc:`Writing and running tests <topics/testing/overview>` |
:doc:`Advanced topics <topics/testing/advanced>` |
:doc:`Doctests <topics/testing/doctests>`
* **Deployment:** * **Deployment:**
:doc:`Overview <howto/deployment/index>` | :doc:`Overview <howto/deployment/index>` |

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@ -15,8 +15,8 @@ The tests cover:
We appreciate any and all contributions to the test suite! We appreciate any and all contributions to the test suite!
The Django tests all use the testing infrastructure that ships with Django for The Django tests all use the testing infrastructure that ships with Django for
testing applications. See :doc:`Testing Django applications </topics/testing>` testing applications. See :doc:`Testing Django applications
for an explanation of how to write new tests. </topics/testing/overview>` for an explanation of how to write new tests.
.. _running-unit-tests: .. _running-unit-tests:

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@ -281,7 +281,7 @@ correctly in a couple different situations.
computer programming, so there's lots of information out there: computer programming, so there's lots of information out there:
* A good first look at writing tests for Django can be found in the * A good first look at writing tests for Django can be found in the
documentation on :doc:`Testing Django applications</topics/testing/>`. documentation on :doc:`Testing Django applications </topics/testing/overview>`.
* Dive Into Python (a free online book for beginning Python developers) * Dive Into Python (a free online book for beginning Python developers)
includes a great `introduction to Unit Testing`__. includes a great `introduction to Unit Testing`__.
* After reading those, if you want something a little meatier to sink * After reading those, if you want something a little meatier to sink

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@ -632,7 +632,7 @@ a piece of code, it usually means that code should be refactored or removed.
Coverage will help to identify dead code. See Coverage will help to identify dead code. See
:ref:`topics-testing-code-coverage` for details. :ref:`topics-testing-code-coverage` for details.
:doc:`Testing Django applications </topics/testing>` has comprehensive :doc:`Testing Django applications </topics/testing/index>` has comprehensive
information about testing. information about testing.
.. _Selenium: http://seleniumhq.org/ .. _Selenium: http://seleniumhq.org/

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@ -71,7 +71,7 @@ of 1.0. This includes these APIs:
external template tags. Before adding any such tags, we'll ensure that external template tags. Before adding any such tags, we'll ensure that
Django raises an error if it tries to load tags with duplicate names. Django raises an error if it tries to load tags with duplicate names.
- :doc:`Testing </topics/testing>` - :doc:`Testing </topics/testing/index>`
- :doc:`django-admin utility </ref/django-admin>`. - :doc:`django-admin utility </ref/django-admin>`.

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@ -1036,7 +1036,7 @@ test <app or test identifier>
.. django-admin:: test .. django-admin:: test
Runs tests for all installed models. See :doc:`/topics/testing` for more Runs tests for all installed models. See :doc:`/topics/testing/index` for more
information. information.
.. django-admin-option:: --failfast .. django-admin-option:: --failfast
@ -1072,7 +1072,7 @@ For example, this command::
...would perform the following steps: ...would perform the following steps:
1. Create a test database, as described in :doc:`/topics/testing`. 1. Create a test database, as described in :ref:`the-test-database`.
2. Populate the test database with fixture data from the given fixtures. 2. Populate the test database with fixture data from the given fixtures.
(For more on fixtures, see the documentation for ``loaddata`` above.) (For more on fixtures, see the documentation for ``loaddata`` above.)
3. Runs the Django development server (as in ``runserver``), pointed at 3. Runs the Django development server (as in ``runserver``), pointed at
@ -1080,7 +1080,7 @@ For example, this command::
This is useful in a number of ways: This is useful in a number of ways:
* When you're writing :doc:`unit tests </topics/testing>` of how your views * When you're writing :doc:`unit tests </topics/testing/overview>` of how your views
act with certain fixture data, you can use ``testserver`` to interact with act with certain fixture data, you can use ``testserver`` to interact with
the views in a Web browser, manually. the views in a Web browser, manually.

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@ -562,7 +562,7 @@ If the default value (``None``) is used with the SQLite database engine, the
tests will use a memory resident database. For all other database engines the tests will use a memory resident database. For all other database engines the
test database will use the name ``'test_' + DATABASE_NAME``. test database will use the name ``'test_' + DATABASE_NAME``.
See :doc:`/topics/testing`. See :ref:`the-test-database`.
.. setting:: TEST_CREATE .. setting:: TEST_CREATE
@ -1982,9 +1982,7 @@ TEST_RUNNER
Default: ``'django.test.simple.DjangoTestSuiteRunner'`` Default: ``'django.test.simple.DjangoTestSuiteRunner'``
The name of the class to use for starting the test suite. See The name of the class to use for starting the test suite. See
:doc:`/topics/testing`. :ref:`other-testing-frameworks`.
.. _Testing Django Applications: ../testing/
.. setting:: THOUSAND_SEPARATOR .. setting:: THOUSAND_SEPARATOR

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@ -476,7 +476,7 @@ Test signals
.. module:: django.test.signals .. module:: django.test.signals
:synopsis: Signals sent during testing. :synopsis: Signals sent during testing.
Signals only sent when :doc:`running tests </topics/testing>`. Signals only sent when :ref:`running tests <running-tests>`.
setting_changed setting_changed
--------------- ---------------

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@ -220,7 +220,7 @@ supported :doc:`serialization formats </topics/serialization>`, that will be
loaded into your database at the start of your tests. This makes testing with loaded into your database at the start of your tests. This makes testing with
real data much easier. real data much easier.
See :doc:`the testing documentation </topics/testing>` for the full details. See :doc:`the testing documentation </topics/testing/index>` for the full details.
Improvements to the admin interface Improvements to the admin interface
----------------------------------- -----------------------------------

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@ -51,7 +51,7 @@ Performance improvements
.. currentmodule:: django.test .. currentmodule:: django.test
Tests written using Django's :doc:`testing framework </topics/testing>` now run Tests written using Django's :doc:`testing framework </topics/testing/index>` now run
dramatically faster (as much as 10 times faster in many cases). dramatically faster (as much as 10 times faster in many cases).
This was accomplished through the introduction of transaction-based tests: when This was accomplished through the introduction of transaction-based tests: when

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@ -102,7 +102,7 @@ Testing improvements
.. currentmodule:: django.test.client .. currentmodule:: django.test.client
A couple of small but very useful improvements have been made to the A couple of small but very useful improvements have been made to the
:doc:`testing framework </topics/testing>`: :doc:`testing framework </topics/testing/index>`:
* The test :class:`Client` now can automatically follow redirects with the * The test :class:`Client` now can automatically follow redirects with the
``follow`` argument to :meth:`Client.get` and :meth:`Client.post`. This ``follow`` argument to :meth:`Client.get` and :meth:`Client.post`. This

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@ -264,14 +264,14 @@ Testing improvements
-------------------- --------------------
A few notable improvements have been made to the :doc:`testing framework A few notable improvements have been made to the :doc:`testing framework
</topics/testing>`. </topics/testing/index>`.
Test performance improvements Test performance improvements
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. currentmodule:: django.test .. currentmodule:: django.test
Tests written using Django's :doc:`testing framework </topics/testing>` now run Tests written using Django's :doc:`testing framework </topics/testing/index>` now run
dramatically faster (as much as 10 times faster in many cases). dramatically faster (as much as 10 times faster in many cases).
This was accomplished through the introduction of transaction-based tests: when This was accomplished through the introduction of transaction-based tests: when

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@ -13,7 +13,7 @@ Introductions to all the key parts of Django you'll need to know:
templates templates
class-based-views/index class-based-views/index
files files
testing testing/index
auth auth
cache cache
conditional-view-processing conditional-view-processing

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@ -135,7 +135,7 @@ table once ``syncdb`` has created it. After creating a database user with these
permissions, you'll specify the details in your project's settings file, permissions, you'll specify the details in your project's settings file,
see :setting:`DATABASES` for details. see :setting:`DATABASES` for details.
If you're using Django's :doc:`testing framework</topics/testing>` to test If you're using Django's :doc:`testing framework</topics/testing/index>` to test
database queries, Django will need permission to create a test database. database queries, Django will need permission to create a test database.
.. _PostgreSQL: http://www.postgresql.org/ .. _PostgreSQL: http://www.postgresql.org/

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@ -0,0 +1,429 @@
=======================
Advanced testing topics
=======================
The request factory
===================
.. module:: django.test.client
.. class:: RequestFactory
The :class:`~django.test.client.RequestFactory` shares the same API as
the test client. However, instead of behaving like a browser, the
RequestFactory provides a way to generate a request instance that can
be used as the first argument to any view. This means you can test a
view function the same way as you would test any other function -- as
a black box, with exactly known inputs, testing for specific outputs.
The API for the :class:`~django.test.client.RequestFactory` is a slightly
restricted subset of the test client API:
* It only has access to the HTTP methods :meth:`~Client.get()`,
:meth:`~Client.post()`, :meth:`~Client.put()`,
:meth:`~Client.delete()`, :meth:`~Client.head()` and
:meth:`~Client.options()`.
* These methods accept all the same arguments *except* for
``follows``. Since this is just a factory for producing
requests, it's up to you to handle the response.
* It does not support middleware. Session and authentication
attributes must be supplied by the test itself if required
for the view to function properly.
Example
-------
The following is a simple unit test using the request factory::
from django.utils import unittest
from django.test.client import RequestFactory
class SimpleTest(unittest.TestCase):
def setUp(self):
# Every test needs access to the request factory.
self.factory = RequestFactory()
def test_details(self):
# Create an instance of a GET request.
request = self.factory.get('/customer/details')
# Test my_view() as if it were deployed at /customer/details
response = my_view(request)
self.assertEqual(response.status_code, 200)
.. _topics-testing-advanced-multidb:
Tests and multiple databases
============================
.. _topics-testing-masterslave:
Testing master/slave configurations
-----------------------------------
If you're testing a multiple database configuration with master/slave
replication, this strategy of creating test databases poses a problem.
When the test databases are created, there won't be any replication,
and as a result, data created on the master won't be seen on the
slave.
To compensate for this, Django allows you to define that a database is
a *test mirror*. Consider the following (simplified) example database
configuration::
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': 'myproject',
'HOST': 'dbmaster',
# ... plus some other settings
},
'slave': {
'ENGINE': 'django.db.backends.mysql',
'NAME': 'myproject',
'HOST': 'dbslave',
'TEST_MIRROR': 'default'
# ... plus some other settings
}
}
In this setup, we have two database servers: ``dbmaster``, described
by the database alias ``default``, and ``dbslave`` described by the
alias ``slave``. As you might expect, ``dbslave`` has been configured
by the database administrator as a read slave of ``dbmaster``, so in
normal activity, any write to ``default`` will appear on ``slave``.
If Django created two independent test databases, this would break any
tests that expected replication to occur. However, the ``slave``
database has been configured as a test mirror (using the
:setting:`TEST_MIRROR` setting), indicating that under testing,
``slave`` should be treated as a mirror of ``default``.
When the test environment is configured, a test version of ``slave``
will *not* be created. Instead the connection to ``slave``
will be redirected to point at ``default``. As a result, writes to
``default`` will appear on ``slave`` -- but because they are actually
the same database, not because there is data replication between the
two databases.
.. _topics-testing-creation-dependencies:
Controlling creation order for test databases
---------------------------------------------
By default, Django will always create the ``default`` database first.
However, no guarantees are made on the creation order of any other
databases in your test setup.
If your database configuration requires a specific creation order, you
can specify the dependencies that exist using the
:setting:`TEST_DEPENDENCIES` setting. Consider the following
(simplified) example database configuration::
DATABASES = {
'default': {
# ... db settings
'TEST_DEPENDENCIES': ['diamonds']
},
'diamonds': {
# ... db settings
},
'clubs': {
# ... db settings
'TEST_DEPENDENCIES': ['diamonds']
},
'spades': {
# ... db settings
'TEST_DEPENDENCIES': ['diamonds','hearts']
},
'hearts': {
# ... db settings
'TEST_DEPENDENCIES': ['diamonds','clubs']
}
}
Under this configuration, the ``diamonds`` database will be created first,
as it is the only database alias without dependencies. The ``default`` and
``clubs`` alias will be created next (although the order of creation of this
pair is not guaranteed); then ``hearts``; and finally ``spades``.
If there are any circular dependencies in the
:setting:`TEST_DEPENDENCIES` definition, an ``ImproperlyConfigured``
exception will be raised.
Running tests outside the test runner
=====================================
If you want to run tests outside of ``./manage.py test`` -- for example,
from a shell prompt -- you will need to set up the test
environment first. Django provides a convenience method to do this::
>>> from django.test.utils import setup_test_environment
>>> setup_test_environment()
This convenience method sets up the test database, and puts other
Django features into modes that allow for repeatable testing.
The call to :meth:`~django.test.utils.setup_test_environment` is made
automatically as part of the setup of ``./manage.py test``. You only
need to manually invoke this method if you're not using running your
tests via Django's test runner.
.. _other-testing-frameworks:
Using different testing frameworks
==================================
Clearly, :mod:`doctest` and :mod:`unittest` are not the only Python testing
frameworks. While Django doesn't provide explicit support for alternative
frameworks, it does provide a way to invoke tests constructed for an
alternative framework as if they were normal Django tests.
When you run ``./manage.py test``, Django looks at the :setting:`TEST_RUNNER`
setting to determine what to do. By default, :setting:`TEST_RUNNER` points to
``'django.test.simple.DjangoTestSuiteRunner'``. This class defines the default Django
testing behavior. This behavior involves:
#. Performing global pre-test setup.
#. Looking for unit tests and doctests in the ``models.py`` and
``tests.py`` files in each installed application.
#. Creating the test databases.
#. Running ``syncdb`` to install models and initial data into the test
databases.
#. Running the unit tests and doctests that are found.
#. Destroying the test databases.
#. Performing global post-test teardown.
If you define your own test runner class and point :setting:`TEST_RUNNER` at
that class, Django will execute your test runner whenever you run
``./manage.py test``. In this way, it is possible to use any test framework
that can be executed from Python code, or to modify the Django test execution
process to satisfy whatever testing requirements you may have.
.. _topics-testing-test_runner:
Defining a test runner
----------------------
.. currentmodule:: django.test.simple
A test runner is a class defining a ``run_tests()`` method. Django ships
with a ``DjangoTestSuiteRunner`` class that defines the default Django
testing behavior. This class defines the ``run_tests()`` entry point,
plus a selection of other methods that are used to by ``run_tests()`` to
set up, execute and tear down the test suite.
.. class:: DjangoTestSuiteRunner(verbosity=1, interactive=True, failfast=True, **kwargs)
``verbosity`` determines the amount of notification and debug information
that will be printed to the console; ``0`` is no output, ``1`` is normal
output, and ``2`` is verbose output.
If ``interactive`` is ``True``, the test suite has permission to ask the
user for instructions when the test suite is executed. An example of this
behavior would be asking for permission to delete an existing test
database. If ``interactive`` is ``False``, the test suite must be able to
run without any manual intervention.
If ``failfast`` is ``True``, the test suite will stop running after the
first test failure is detected.
Django will, from time to time, extend the capabilities of
the test runner by adding new arguments. The ``**kwargs`` declaration
allows for this expansion. If you subclass ``DjangoTestSuiteRunner`` or
write your own test runner, ensure accept and handle the ``**kwargs``
parameter.
.. versionadded:: 1.4
Your test runner may also define additional command-line options.
If you add an ``option_list`` attribute to a subclassed test runner,
those options will be added to the list of command-line options that
the :djadmin:`test` command can use.
Attributes
~~~~~~~~~~
.. attribute:: DjangoTestSuiteRunner.option_list
.. versionadded:: 1.4
This is the tuple of ``optparse`` options which will be fed into the
management command's ``OptionParser`` for parsing arguments. See the
documentation for Python's ``optparse`` module for more details.
Methods
~~~~~~~
.. method:: DjangoTestSuiteRunner.run_tests(test_labels, extra_tests=None, **kwargs)
Run the test suite.
``test_labels`` is a list of strings describing the tests to be run. A test
label can take one of three forms:
* ``app.TestCase.test_method`` -- Run a single test method in a test
case.
* ``app.TestCase`` -- Run all the test methods in a test case.
* ``app`` -- Search for and run all tests in the named application.
If ``test_labels`` has a value of ``None``, the test runner should run
search for tests in all the applications in :setting:`INSTALLED_APPS`.
``extra_tests`` is a list of extra ``TestCase`` instances to add to the
suite that is executed by the test runner. These extra tests are run
in addition to those discovered in the modules listed in ``test_labels``.
This method should return the number of tests that failed.
.. method:: DjangoTestSuiteRunner.setup_test_environment(**kwargs)
Sets up the test environment ready for testing.
.. method:: DjangoTestSuiteRunner.build_suite(test_labels, extra_tests=None, **kwargs)
Constructs a test suite that matches the test labels provided.
``test_labels`` is a list of strings describing the tests to be run. A test
label can take one of three forms:
* ``app.TestCase.test_method`` -- Run a single test method in a test
case.
* ``app.TestCase`` -- Run all the test methods in a test case.
* ``app`` -- Search for and run all tests in the named application.
If ``test_labels`` has a value of ``None``, the test runner should run
search for tests in all the applications in :setting:`INSTALLED_APPS`.
``extra_tests`` is a list of extra ``TestCase`` instances to add to the
suite that is executed by the test runner. These extra tests are run
in addition to those discovered in the modules listed in ``test_labels``.
Returns a ``TestSuite`` instance ready to be run.
.. method:: DjangoTestSuiteRunner.setup_databases(**kwargs)
Creates the test databases.
Returns a data structure that provides enough detail to undo the changes
that have been made. This data will be provided to the ``teardown_databases()``
function at the conclusion of testing.
.. method:: DjangoTestSuiteRunner.run_suite(suite, **kwargs)
Runs the test suite.
Returns the result produced by the running the test suite.
.. method:: DjangoTestSuiteRunner.teardown_databases(old_config, **kwargs)
Destroys the test databases, restoring pre-test conditions.
``old_config`` is a data structure defining the changes in the
database configuration that need to be reversed. It is the return
value of the ``setup_databases()`` method.
.. method:: DjangoTestSuiteRunner.teardown_test_environment(**kwargs)
Restores the pre-test environment.
.. method:: DjangoTestSuiteRunner.suite_result(suite, result, **kwargs)
Computes and returns a return code based on a test suite, and the result
from that test suite.
Testing utilities
-----------------
.. module:: django.test.utils
:synopsis: Helpers to write custom test runners.
To assist in the creation of your own test runner, Django provides a number of
utility methods in the ``django.test.utils`` module.
.. function:: setup_test_environment()
Performs any global pre-test setup, such as the installing the
instrumentation of the template rendering system and setting up
the dummy email outbox.
.. function:: teardown_test_environment()
Performs any global post-test teardown, such as removing the black
magic hooks into the template system and restoring normal email
services.
.. currentmodule:: django.db.connection.creation
The creation module of the database backend (``connection.creation``)
also provides some utilities that can be useful during testing.
.. function:: create_test_db([verbosity=1, autoclobber=False])
Creates a new test database and runs ``syncdb`` against it.
``verbosity`` has the same behavior as in ``run_tests()``.
``autoclobber`` describes the behavior that will occur if a
database with the same name as the test database is discovered:
* If ``autoclobber`` is ``False``, the user will be asked to
approve destroying the existing database. ``sys.exit`` is
called if the user does not approve.
* If autoclobber is ``True``, the database will be destroyed
without consulting the user.
Returns the name of the test database that it created.
``create_test_db()`` has the side effect of modifying the value of
:setting:`NAME` in :setting:`DATABASES` to match the name of the test
database.
.. function:: destroy_test_db(old_database_name, [verbosity=1])
Destroys the database whose name is the value of :setting:`NAME` in
:setting:`DATABASES`, and sets :setting:`NAME` to the value of
``old_database_name``.
The ``verbosity`` argument has the same behavior as for
:class:`~django.test.simple.DjangoTestSuiteRunner`.
.. _topics-testing-code-coverage:
Integration with coverage.py
============================
Code coverage describes how much source code has been tested. It shows which
parts of your code are being exercised by tests and which are not. It's an
important part of testing applications, so it's strongly recommended to check
the coverage of your tests.
Django can be easily integrated with `coverage.py`_, a tool for measuring code
coverage of Python programs. First, `install coverage.py`_. Next, run the
following from your project folder containing ``manage.py``::
coverage run --source='.' manage.py test myapp
This runs your tests and collects coverage data of the executed files in your
project. You can see a report of this data by typing following command::
coverage report
Note that some Django code was executed while running tests, but it is not
listed here because of the ``source`` flag passed to the previous command.
For more options like annotated HTML listings detailing missed lines, see the
`coverage.py`_ docs.
.. _coverage.py: http://nedbatchelder.com/code/coverage/
.. _install coverage.py: http://pypi.python.org/pypi/coverage

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@ -0,0 +1,81 @@
===================
Django and doctests
===================
Doctests use Python's standard :mod:`doctest` module, which searches your
docstrings for statements that resemble a session of the Python interactive
interpreter. A full explanation of how :mod:`doctest` works is out of the scope
of this document; read Python's official documentation for the details.
.. admonition:: What's a **docstring**?
A good explanation of docstrings (and some guidelines for using them
effectively) can be found in :pep:`257`:
A docstring is a string literal that occurs as the first statement in
a module, function, class, or method definition. Such a docstring
becomes the ``__doc__`` special attribute of that object.
For example, this function has a docstring that describes what it does::
def add_two(num):
"Return the result of adding two to the provided number."
return num + 2
Because tests often make great documentation, putting tests directly in
your docstrings is an effective way to document *and* test your code.
As with unit tests, for a given Django application, the test runner looks for
doctests in two places:
* The ``models.py`` file. You can define module-level doctests and/or a
doctest for individual models. It's common practice to put
application-level doctests in the module docstring and model-level
doctests in the model docstrings.
* A file called ``tests.py`` in the application directory -- i.e., the
directory that holds ``models.py``. This file is a hook for any and all
doctests you want to write that aren't necessarily related to models.
This example doctest is equivalent to the example given in the unittest section
above::
# models.py
from django.db import models
class Animal(models.Model):
"""
An animal that knows how to make noise
# Create some animals
>>> lion = Animal.objects.create(name="lion", sound="roar")
>>> cat = Animal.objects.create(name="cat", sound="meow")
# Make 'em speak
>>> lion.speak()
'The lion says "roar"'
>>> cat.speak()
'The cat says "meow"'
"""
name = models.CharField(max_length=20)
sound = models.CharField(max_length=20)
def speak(self):
return 'The %s says "%s"' % (self.name, self.sound)
When you :ref:`run your tests <running-tests>`, the test runner will find this
docstring, notice that portions of it look like an interactive Python session,
and execute those lines while checking that the results match.
In the case of model tests, note that the test runner takes care of creating
its own test database. That is, any test that accesses a database -- by
creating and saving model instances, for example -- will not affect your
production database. However, the database is not refreshed between doctests,
so if your doctest requires a certain state you should consider flushing the
database or loading a fixture. (See the section on :ref:`fixtures
<topics-testing-fixtures>` for more on this.) Note that to use this feature,
the database user Django is connecting as must have ``CREATE DATABASE``
rights.
For more details about :mod:`doctest`, see the Python documentation.

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=================
Testing in Django
=================
.. toctree::
:hidden:
overview
doctests
advanced
Automated testing is an extremely useful bug-killing tool for the modern
Web developer. You can use a collection of tests -- a **test suite** -- to
solve, or avoid, a number of problems:
* When you're writing new code, you can use tests to validate your code
works as expected.
* When you're refactoring or modifying old code, you can use tests to
ensure your changes haven't affected your application's behavior
unexpectedly.
Testing a Web application is a complex task, because a Web application is made
of several layers of logic -- from HTTP-level request handling, to form
validation and processing, to template rendering. With Django's test-execution
framework and assorted utilities, you can simulate requests, insert test data,
inspect your application's output and generally verify your code is doing what
it should be doing.
The best part is, it's really easy.
Unit tests v. doctests
======================
There are two primary ways to write tests with Django, corresponding to the
two test frameworks that ship in the Python standard library. The two
frameworks are:
* **Unit tests** -- tests that are expressed as methods on a Python class
that subclasses :class:`unittest.TestCase` or Django's customized
:class:`TestCase`. For example::
import unittest
class MyFuncTestCase(unittest.TestCase):
def testBasic(self):
a = ['larry', 'curly', 'moe']
self.assertEqual(my_func(a, 0), 'larry')
self.assertEqual(my_func(a, 1), 'curly')
* **Doctests** -- tests that are embedded in your functions' docstrings and
are written in a way that emulates a session of the Python interactive
interpreter. For example::
def my_func(a_list, idx):
"""
>>> a = ['larry', 'curly', 'moe']
>>> my_func(a, 0)
'larry'
>>> my_func(a, 1)
'curly'
"""
return a_list[idx]
Which should I use?
-------------------
Because Django supports both of the standard Python test frameworks, it's up to
you and your tastes to decide which one to use. You can even decide to use
*both*.
For developers new to testing, however, this choice can seem confusing. Here,
then, are a few key differences to help you decide which approach is right for
you:
* If you've been using Python for a while, :mod:`doctest` will probably feel
more "pythonic". It's designed to make writing tests as easy as possible,
so it requires no overhead of writing classes or methods. You simply put
tests in docstrings. This has the added advantage of serving as
documentation (and correct documentation, at that!). However, while
doctests are good for some simple example code, they are not very good if
you want to produce either high quality, comprehensive tests or high
quality documentation. Test failures are often difficult to debug
as it can be unclear exactly why the test failed. Thus, doctests should
generally be avoided and used primarily for documentation examples only.
* The :mod:`unittest` framework will probably feel very familiar to
developers coming from Java. :mod:`unittest` is inspired by Java's JUnit,
so you'll feel at home with this method if you've used JUnit or any test
framework inspired by JUnit.
* If you need to write a bunch of tests that share similar code, then
you'll appreciate the :mod:`unittest` framework's organization around
classes and methods. This makes it easy to abstract common tasks into
common methods. The framework also supports explicit setup and/or cleanup
routines, which give you a high level of control over the environment
in which your test cases are run.
* If you're writing tests for Django itself, you should use :mod:`unittest`.
Where to go from here
=====================
As unit tests are preferred in Django, we treat them in detail in the
:doc:`overview` document.
:doc:`doctests` describes Django-specific features when using doctests.
You can also use any *other* Python test framework, Django provides an API and
tools for that kind of integration. They are described in the
:ref:`other-testing-frameworks` section of :doc:`advanced`.

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