test0908
/
django
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
django/docs/topics/testing/overview.txt

1899 lines
75 KiB
Plaintext
Raw Blame History

===========================
Testing Django applications
===========================
.. module:: django.test
:synopsis: Testing tools for Django applications.
.. seealso::
The :doc:`testing tutorial </intro/tutorial05>` 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.
.. versionchanged:: 1.6
Previously, Django's default test runner only discovered tests in
``tests.py`` and ``models.py`` files within a Python package listed in
:setting:`INSTALLED_APPS`.
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"
.. versionchanged:: 1.6
Previously, test labels were in the form ``applabel``,
``applabel.TestCase``, or ``applabel.TestCase.test_method``, rather than
being true Python dotted paths, and tests could only be found within
``tests.py`` or ``models.py`` files within a Python package listed in
:setting:`INSTALLED_APPS`. The ``--pattern`` option and file paths as test
labels are new in 1.6.
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.
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:`TEST_NAME` in the dictionary for any given database in
:setting:`DATABASES`.
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:`TEST_CHARSET` option. If you're using
MySQL, you can also use the :setting:`TEST_COLLATION` option to
control the particular collation used by the test database. See the
:doc:`settings documentation </ref/settings>` for details of these
advanced settings.
.. 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.
.. 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 unittests (including :class:`unittest.TestCase`,
:class:`~django.test.SimpleTestCase` and
:class:`~django.test.TransactionTestCase`) are run with no particular
ordering guaranteed nor enforced among them.
* Then any other tests (e.g. 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.
Testing tools
=============
Django provides a small set of tools that come in handy when writing tests.
.. _test-client:
The test client
---------------
The test client is a Python class that acts as a dummy Web browser, allowing
you to test your views and interact with your Django-powered application
programmatically.
Some of the things you can do with the test client are:
* Simulate GET and POST requests on a URL and observe the response --
everything from low-level HTTP (result headers and status codes) to
page content.
* See the chain of redirects (if any) and check the URL and status code at
each step.
* Test that a given request is rendered by a given Django template, with
a template context that contains certain values.
Note that the test client is not intended to be a replacement for Selenium_ or
other "in-browser" frameworks. Django's test client has a different focus. In
short:
* Use Django's test client to establish that the correct template is being
rendered and that the template is passed the correct context data.
* Use in-browser frameworks like Selenium_ to test *rendered* HTML and the
*behavior* of Web pages, namely JavaScript functionality. Django also
provides special support for those frameworks; see the section on
:class:`~django.test.LiveServerTestCase` for more details.
A comprehensive test suite should use a combination of both test types.
Overview and a quick example
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
To use the test client, instantiate ``django.test.Client`` and retrieve
Web pages::
>>> from django.test import Client
>>> c = Client()
>>> response = c.post('/login/', {'username': 'john', 'password': 'smith'})
>>> response.status_code
200
>>> response = c.get('/customer/details/')
>>> response.content
'<!DOCTYPE html...'
As this example suggests, you can instantiate ``Client`` from within a session
of the Python interactive interpreter.
Note a few important things about how the test client works:
* The test client does *not* require the Web server to be running. In fact,
it will run just fine with no Web server running at all! That's because
it avoids the overhead of HTTP and deals directly with the Django
framework. This helps make the unit tests run quickly.
* When retrieving pages, remember to specify the *path* of the URL, not the
whole domain. For example, this is correct::
>>> c.get('/login/')
This is incorrect::
>>> c.get('http://www.example.com/login/')
The test client is not capable of retrieving Web pages that are not
powered by your Django project. If you need to retrieve other Web pages,
use a Python standard library module such as :mod:`urllib` or
:mod:`urllib2`.
* To resolve URLs, the test client uses whatever URLconf is pointed-to by
your :setting:`ROOT_URLCONF` setting.
* Although the above example would work in the Python interactive
interpreter, some of the test client's functionality, notably the
template-related functionality, is only available *while tests are
running*.
The reason for this is that Django's test runner performs a bit of black
magic in order to determine which template was loaded by a given view.
This black magic (essentially a patching of Django's template system in
memory) only happens during test running.
* By default, the test client will disable any CSRF checks
performed by your site.
If, for some reason, you *want* the test client to perform CSRF
checks, you can create an instance of the test client that
enforces CSRF checks. To do this, pass in the
``enforce_csrf_checks`` argument when you construct your
client::
>>> from django.test import Client
>>> csrf_client = Client(enforce_csrf_checks=True)
Making requests
~~~~~~~~~~~~~~~
Use the ``django.test.Client`` class to make requests.
.. class:: Client(enforce_csrf_checks=False, **defaults)
It requires no arguments at time of construction. However, you can use
keywords arguments to specify some default headers. For example, this will
send a ``User-Agent`` HTTP header in each request::
>>> c = Client(HTTP_USER_AGENT='Mozilla/5.0')
The values from the ``extra`` keywords arguments passed to
:meth:`~django.test.Client.get()`,
:meth:`~django.test.Client.post()`, etc. have precedence over
the defaults passed to the class constructor.
The ``enforce_csrf_checks`` argument can be used to test CSRF
protection (see above).
Once you have a ``Client`` instance, you can call any of the following
methods:
.. method:: Client.get(path, data={}, follow=False, secure=False, **extra)
.. versionadded:: 1.7
The ``secure`` argument was added.
Makes a GET request on the provided ``path`` and returns a ``Response``
object, which is documented below.
The key-value pairs in the ``data`` dictionary are used to create a GET
data payload. For example::
>>> c = Client()
>>> c.get('/customers/details/', {'name': 'fred', 'age': 7})
...will result in the evaluation of a GET request equivalent to::
/customers/details/?name=fred&age=7
The ``extra`` keyword arguments parameter can be used to specify
headers to be sent in the request. For example::
>>> c = Client()
>>> c.get('/customers/details/', {'name': 'fred', 'age': 7},
... HTTP_X_REQUESTED_WITH='XMLHttpRequest')
...will send the HTTP header ``HTTP_X_REQUESTED_WITH`` to the
details view, which is a good way to test code paths that use the
:meth:`django.http.HttpRequest.is_ajax()` method.
.. admonition:: CGI specification
The headers sent via ``**extra`` should follow CGI_ specification.
For example, emulating a different "Host" header as sent in the
HTTP request from the browser to the server should be passed
as ``HTTP_HOST``.
.. _CGI: http://www.w3.org/CGI/
If you already have the GET arguments in URL-encoded form, you can
use that encoding instead of using the data argument. For example,
the previous GET request could also be posed as::
>>> c = Client()
>>> c.get('/customers/details/?name=fred&age=7')
If you provide a URL with both an encoded GET data and a data argument,
the data argument will take precedence.
If you set ``follow`` to ``True`` the client will follow any redirects
and a ``redirect_chain`` attribute will be set in the response object
containing tuples of the intermediate urls and status codes.
If you had a URL ``/redirect_me/`` that redirected to ``/next/``, that
redirected to ``/final/``, this is what you'd see::
>>> response = c.get('/redirect_me/', follow=True)
>>> response.redirect_chain
[(u'http://testserver/next/', 302), (u'http://testserver/final/', 302)]
If you set ``secure`` to ``True`` the client will emulate an HTTPS
request.
.. method:: Client.post(path, data={}, content_type=MULTIPART_CONTENT, follow=False, secure=False, **extra)
Makes a POST request on the provided ``path`` and returns a
``Response`` object, which is documented below.
The key-value pairs in the ``data`` dictionary are used to submit POST
data. For example::
>>> c = Client()
>>> c.post('/login/', {'name': 'fred', 'passwd': 'secret'})
...will result in the evaluation of a POST request to this URL::
/login/
...with this POST data::
name=fred&passwd=secret
If you provide ``content_type`` (e.g. :mimetype:`text/xml` for an XML
payload), the contents of ``data`` will be sent as-is in the POST
request, using ``content_type`` in the HTTP ``Content-Type`` header.
If you don't provide a value for ``content_type``, the values in
``data`` will be transmitted with a content type of
:mimetype:`multipart/form-data`. In this case, the key-value pairs in
``data`` will be encoded as a multipart message and used to create the
POST data payload.
To submit multiple values for a given key -- for example, to specify
the selections for a ``<select multiple>`` -- provide the values as a
list or tuple for the required key. For example, this value of ``data``
would submit three selected values for the field named ``choices``::
{'choices': ('a', 'b', 'd')}
Submitting files is a special case. To POST a file, you need only
provide the file field name as a key, and a file handle to the file you
wish to upload as a value. For example::
>>> c = Client()
>>> with open('wishlist.doc') as fp:
... c.post('/customers/wishes/', {'name': 'fred', 'attachment': fp})
(The name ``attachment`` here is not relevant; use whatever name your
file-processing code expects.)
Note that if you wish to use the same file handle for multiple
``post()`` calls then you will need to manually reset the file
pointer between posts. The easiest way to do this is to
manually close the file after it has been provided to
``post()``, as demonstrated above.
You should also ensure that the file is opened in a way that
allows the data to be read. If your file contains binary data
such as an image, this means you will need to open the file in
``rb`` (read binary) mode.
The ``extra`` argument acts the same as for :meth:`Client.get`.
If the URL you request with a POST contains encoded parameters, these
parameters will be made available in the request.GET data. For example,
if you were to make the request::
>>> c.post('/login/?visitor=true', {'name': 'fred', 'passwd': 'secret'})
... the view handling this request could interrogate request.POST
to retrieve the username and password, and could interrogate request.GET
to determine if the user was a visitor.
If you set ``follow`` to ``True`` the client will follow any redirects
and a ``redirect_chain`` attribute will be set in the response object
containing tuples of the intermediate urls and status codes.
If you set ``secure`` to ``True`` the client will emulate an HTTPS
request.
.. method:: Client.head(path, data={}, follow=False, secure=False, **extra)
Makes a HEAD request on the provided ``path`` and returns a
``Response`` object. This method works just like :meth:`Client.get`,
including the ``follow``, ``secure`` and ``extra`` arguments, except
it does not return a message body.
.. method:: Client.options(path, data='', content_type='application/octet-stream', follow=False, secure=False, **extra)
Makes an OPTIONS request on the provided ``path`` and returns a
``Response`` object. Useful for testing RESTful interfaces.
When ``data`` is provided, it is used as the request body, and
a ``Content-Type`` header is set to ``content_type``.
The ``follow``, ``secure`` and ``extra`` arguments act the same as for
:meth:`Client.get`.
.. method:: Client.put(path, data='', content_type='application/octet-stream', follow=False, secure=False, **extra)
Makes a PUT request on the provided ``path`` and returns a
``Response`` object. Useful for testing RESTful interfaces.
When ``data`` is provided, it is used as the request body, and
a ``Content-Type`` header is set to ``content_type``.
The ``follow``, ``secure`` and ``extra`` arguments act the same as for
:meth:`Client.get`.
.. method:: Client.patch(path, data='', content_type='application/octet-stream', follow=False, secure=False, **extra)
Makes a PATCH request on the provided ``path`` and returns a
``Response`` object. Useful for testing RESTful interfaces.
The ``follow``, ``secure`` and ``extra`` arguments act the same as for
:meth:`Client.get`.
.. method:: Client.delete(path, data='', content_type='application/octet-stream', follow=False, secure=False, **extra)
Makes an DELETE request on the provided ``path`` and returns a
``Response`` object. Useful for testing RESTful interfaces.
When ``data`` is provided, it is used as the request body, and
a ``Content-Type`` header is set to ``content_type``.
The ``follow``, ``secure`` and ``extra`` arguments act the same as for
:meth:`Client.get`.
.. method:: Client.login(**credentials)
If your site uses Django's :doc:`authentication system</topics/auth/index>`
and you deal with logging in users, you can use the test client's
``login()`` method to simulate the effect of a user logging into the
site.
After you call this method, the test client will have all the cookies
and session data required to pass any login-based tests that may form
part of a view.
The format of the ``credentials`` argument depends on which
:ref:`authentication backend <authentication-backends>` you're using
(which is configured by your :setting:`AUTHENTICATION_BACKENDS`
setting). If you're using the standard authentication backend provided
by Django (``ModelBackend``), ``credentials`` should be the user's
username and password, provided as keyword arguments::
>>> c = Client()
>>> c.login(username='fred', password='secret')
# Now you can access a view that's only available to logged-in users.
If you're using a different authentication backend, this method may
require different credentials. It requires whichever credentials are
required by your backend's ``authenticate()`` method.
``login()`` returns ``True`` if it the credentials were accepted and
login was successful.
Finally, you'll need to remember to create user accounts before you can
use this method. As we explained above, the test runner is executed
using a test database, which contains no users by default. As a result,
user accounts that are valid on your production site will not work
under test conditions. You'll need to create users as part of the test
suite -- either manually (using the Django model API) or with a test
fixture. Remember that if you want your test user to have a password,
you can't set the user's password by setting the password attribute
directly -- you must use the
:meth:`~django.contrib.auth.models.User.set_password()` function to
store a correctly hashed password. Alternatively, you can use the
:meth:`~django.contrib.auth.models.UserManager.create_user` helper
method to create a new user with a correctly hashed password.
.. versionadded:: 1.7
Requests made with :meth:`~django.test.Client.login` go through the
request middleware. If you need to control the environment, you can
do so at :class:`~django.test.Client` instantiation or with the
`Client.defaults` attribute.
.. method:: Client.logout()
If your site uses Django's :doc:`authentication system</topics/auth/index>`,
the ``logout()`` method can be used to simulate the effect of a user
logging out of your site.
After you call this method, the test client will have all the cookies
and session data cleared to defaults. Subsequent requests will appear
to come from an :class:`~django.contrib.auth.models.AnonymousUser`.
.. versionadded:: 1.7
Requests made with :meth:`~django.test.Client.logout` go through the
request middleware. If you need to control the environment, you can
do so at :class:`~django.test.Client` instantiation or with the
`Client.defaults` attribute.
Testing responses
~~~~~~~~~~~~~~~~~
The ``get()`` and ``post()`` methods both return a ``Response`` object. This
``Response`` object is *not* the same as the ``HttpResponse`` object returned
Django views; the test response object has some additional data useful for
test code to verify.
Specifically, a ``Response`` object has the following attributes:
.. class:: Response()
.. attribute:: client
The test client that was used to make the request that resulted in the
response.
.. attribute:: content
The body of the response, as a string. This is the final page content as
rendered by the view, or any error message.
.. attribute:: context
The template ``Context`` instance that was used to render the template that
produced the response content.
If the rendered page used multiple templates, then ``context`` will be a
list of ``Context`` objects, in the order in which they were rendered.
Regardless of the number of templates used during rendering, you can
retrieve context values using the ``[]`` operator. For example, the
context variable ``name`` could be retrieved using::
>>> response = client.get('/foo/')
>>> response.context['name']
'Arthur'
.. attribute:: request
The request data that stimulated the response.
.. attribute:: status_code
The HTTP status of the response, as an integer. See
:rfc:`2616#section-10` for a full list of HTTP status codes.
.. attribute:: templates
A list of ``Template`` instances used to render the final content, in
the order they were rendered. For each template in the list, use
``template.name`` to get the template's file name, if the template was
loaded from a file. (The name is a string such as
``'admin/index.html'``.)
You can also use dictionary syntax on the response object to query the value
of any settings in the HTTP headers. For example, you could determine the
content type of a response using ``response['Content-Type']``.
Exceptions
~~~~~~~~~~
If you point the test client at a view that raises an exception, that exception
will be visible in the test case. You can then use a standard ``try ... except``
block or :meth:`~unittest.TestCase.assertRaises` to test for exceptions.
The only exceptions that are not visible to the test client are ``Http404``,
``PermissionDenied`` and ``SystemExit``. Django catches these exceptions
internally and converts them into the appropriate HTTP response codes. In these
cases, you can check ``response.status_code`` in your test.
Persistent state
~~~~~~~~~~~~~~~~
The test client is stateful. If a response returns a cookie, then that cookie
will be stored in the test client and sent with all subsequent ``get()`` and
``post()`` requests.
Expiration policies for these cookies are not followed. If you want a cookie
to expire, either delete it manually or create a new ``Client`` instance (which
will effectively delete all cookies).
A test client has two attributes that store persistent state information. You
can access these properties as part of a test condition.
.. attribute:: Client.cookies
A Python :class:`~Cookie.SimpleCookie` object, containing the current values
of all the client cookies. See the documentation of the :mod:`Cookie` module
for more.
.. attribute:: Client.session
A dictionary-like object containing session information. See the
:doc:`session documentation</topics/http/sessions>` for full details.
To modify the session and then save it, it must be stored in a variable
first (because a new ``SessionStore`` is created every time this property
is accessed)::
def test_something(self):
session = self.client.session
session['somekey'] = 'test'
session.save()
Example
~~~~~~~
The following is a simple unit test using the test client::
import unittest
from django.test import Client
class SimpleTest(unittest.TestCase):
def setUp(self):
# Every test needs a client.
self.client = Client()
def test_details(self):
# Issue a GET request.
response = self.client.get('/customer/details/')
# Check that the response is 200 OK.
self.assertEqual(response.status_code, 200)
# Check that the rendered context contains 5 customers.
self.assertEqual(len(response.context['customers']), 5)
.. seealso::
:class:`django.test.RequestFactory`
.. _django-testcase-subclasses:
Provided test case classes
--------------------------
Normal Python unit test classes extend a base class of
:class:`unittest.TestCase`. Django provides a few extensions of this base class:
.. _testcase_hierarchy_diagram:
.. figure:: _images/django_unittest_classes_hierarchy.*
:alt: Hierarchy of Django unit testing classes (TestCase subclasses)
:width: 508
:height: 328
Hierarchy of Django unit testing classes
SimpleTestCase
~~~~~~~~~~~~~~
.. class:: SimpleTestCase()
A thin subclass of :class:`unittest.TestCase`, it extends it with some basic
functionality like:
* Saving and restoring the Python warning machinery state.
* Some useful assertions like:
* Checking that a callable :meth:`raises a certain exception
<SimpleTestCase.assertRaisesMessage>`.
* Testing form field :meth:`rendering and error treatment
<SimpleTestCase.assertFieldOutput>`.
* Testing :meth:`HTML responses for the presence/lack of a given fragment
<SimpleTestCase.assertContains>`.
* Verifying that a template :meth:`has/hasn't been used to generate a given
response content <SimpleTestCase.assertTemplateUsed>`.
* Verifying a HTTP :meth:`redirect <SimpleTestCase.assertRedirects>` is
performed by the app.
* Robustly testing two :meth:`HTML fragments <SimpleTestCase.assertHTMLEqual>`
for equality/inequality or :meth:`containment <SimpleTestCase.assertInHTML>`.
* Robustly testing two :meth:`XML fragments <SimpleTestCase.assertXMLEqual>`
for equality/inequality.
* Robustly testing two :meth:`JSON fragments <SimpleTestCase.assertJSONEqual>`
for equality.
* The ability to run tests with :ref:`modified settings <overriding-settings>`.
* Using the :attr:`~SimpleTestCase.client` :class:`~django.test.Client`.
* Custom test-time :attr:`URL maps <SimpleTestCase.urls>`.
.. versionchanged:: 1.6
The latter two features were moved from ``TransactionTestCase`` to
``SimpleTestCase`` in Django 1.6.
If you need any of the other more complex and heavyweight Django-specific
features like:
* Testing or using the ORM.
* Database :attr:`~TransactionTestCase.fixtures`.
* Test :ref:`skipping based on database backend features <skipping-tests>`.
* The remaining specialized :meth:`assert*
<TransactionTestCase.assertQuerysetEqual>` methods.
then you should use :class:`~django.test.TransactionTestCase` or
:class:`~django.test.TestCase` instead.
``SimpleTestCase`` inherits from ``unittest.TestCase``.
TransactionTestCase
~~~~~~~~~~~~~~~~~~~
.. class:: TransactionTestCase()
Django's ``TestCase`` class (described below) makes use of database transaction
facilities to speed up the process of resetting the database to a known state
at the beginning of each test. A consequence of this, however, is that the
effects of transaction commit and rollback cannot be tested by a Django
``TestCase`` class. If your test requires testing of such transactional
behavior, you should use a Django ``TransactionTestCase``.
``TransactionTestCase`` and ``TestCase`` are identical except for the manner
in which the database is reset to a known state and the ability for test code
to test the effects of commit and rollback:
* A ``TransactionTestCase`` resets the database after the test runs by
truncating all tables. A ``TransactionTestCase`` may call commit and rollback
and observe the effects of these calls on the database.
* A ``TestCase``, on the other hand, does not truncate tables after a test.
Instead, it encloses the test code in a database transaction that is rolled
back at the end of the test. Both explicit commits like
``transaction.commit()`` and implicit ones that may be caused by
``transaction.atomic()`` are replaced with a ``nop`` operation. This
guarantees that the rollback at the end of the test restores the database to
its initial state.
When running on a database that does not support rollback (e.g. MySQL with the
MyISAM storage engine), ``TestCase`` falls back to initializing the database
by truncating tables and reloading initial data.
.. warning::
While ``commit`` and ``rollback`` operations still *appear* to work when
used in ``TestCase``, no actual commit or rollback will be performed by the
database. This can cause your tests to pass or fail unexpectedly. Always
use ``TransactionTestCase`` when testing transactional behavior.
``TransactionTestCase`` inherits from :class:`~django.test.SimpleTestCase`.
TestCase
~~~~~~~~
.. class:: TestCase()
This class provides some additional capabilities that can be useful for testing
Web sites.
Converting a normal :class:`unittest.TestCase` to a Django :class:`TestCase` is
easy: Just change the base class of your test from ``'unittest.TestCase'`` to
``'django.test.TestCase'``. All of the standard Python unit test functionality
will continue to be available, but it will be augmented with some useful
additions, including:
* Automatic loading of fixtures.
* Wraps each test in a transaction.
* Creates a TestClient instance.
* Django-specific assertions for testing for things like redirection and form
errors.
``TestCase`` inherits from :class:`~django.test.TransactionTestCase`.
.. _live-test-server:
LiveServerTestCase
~~~~~~~~~~~~~~~~~~
.. class:: LiveServerTestCase()
``LiveServerTestCase`` does basically the same as
:class:`~django.test.TransactionTestCase` with one extra feature: it launches a
live Django server in the background on setup, and shuts it down on teardown.
This allows the use of automated test clients other than the
:ref:`Django dummy client <test-client>` such as, for example, the Selenium_
client, to execute a series of functional tests inside a browser and simulate a
real user's actions.
By default the live server's address is ``'localhost:8081'`` and the full URL
can be accessed during the tests with ``self.live_server_url``. If you'd like
to change the default address (in the case, for example, where the 8081 port is
already taken) then you may pass a different one to the :djadmin:`test` command
via the :djadminopt:`--liveserver` option, for example:
.. code-block:: bash
./manage.py test --liveserver=localhost:8082
Another way of changing the default server address is by setting the
`DJANGO_LIVE_TEST_SERVER_ADDRESS` environment variable somewhere in your
code (for example, in a :ref:`custom test runner<topics-testing-test_runner>`):
.. code-block:: python
import os
os.environ['DJANGO_LIVE_TEST_SERVER_ADDRESS'] = 'localhost:8082'
In the case where the tests are run by multiple processes in parallel (for
example, in the context of several simultaneous `continuous integration`_
builds), the processes will compete for the same address, and therefore your
tests might randomly fail with an "Address already in use" error. To avoid this
problem, you can pass a comma-separated list of ports or ranges of ports (at
least as many as the number of potential parallel processes). For example:
.. code-block:: bash
./manage.py test --liveserver=localhost:8082,8090-8100,9000-9200,7041
Then, during test execution, each new live test server will try every specified
port until it finds one that is free and takes it.
.. _continuous integration: http://en.wikipedia.org/wiki/Continuous_integration
To demonstrate how to use ``LiveServerTestCase``, let's write a simple Selenium
test. First of all, you need to install the `selenium package`_ into your
Python path:
.. code-block:: bash
pip install selenium
Then, add a ``LiveServerTestCase``-based test to your app's tests module
(for example: ``myapp/tests.py``). The code for this test may look as follows:
.. code-block:: python
from django.test import LiveServerTestCase
from selenium.webdriver.firefox.webdriver import WebDriver
class MySeleniumTests(LiveServerTestCase):
fixtures = ['user-data.json']
@classmethod
def setUpClass(cls):
cls.selenium = WebDriver()
super(MySeleniumTests, cls).setUpClass()
@classmethod
def tearDownClass(cls):
cls.selenium.quit()
super(MySeleniumTests, cls).tearDownClass()
def test_login(self):
self.selenium.get('%s%s' % (self.live_server_url, '/login/'))
username_input = self.selenium.find_element_by_name("username")
username_input.send_keys('myuser')
password_input = self.selenium.find_element_by_name("password")
password_input.send_keys('secret')
self.selenium.find_element_by_xpath('//input[@value="Log in"]').click()
Finally, you may run the test as follows:
.. code-block:: bash
./manage.py test myapp.MySeleniumTests.test_login
This example will automatically open Firefox then go to the login page, enter
the credentials and press the "Log in" button. Selenium offers other drivers in
case you do not have Firefox installed or wish to use another browser. The
example above is just a tiny fraction of what the Selenium client can do; check
out the `full reference`_ for more details.
.. _Selenium: http://seleniumhq.org/
.. _selenium package: https://pypi.python.org/pypi/selenium
.. _full reference: http://selenium-python.readthedocs.org/en/latest/api.html
.. _Firefox: http://www.mozilla.com/firefox/
.. versionchanged:: 1.7
Before Django 1.7 ``LiveServerTestCase`` used to rely on the
:doc:`staticfiles contrib app </howto/static-files/index>` to get the
static assets of the application(s) under test transparently served at their
expected locations during the execution of these tests.
In Django 1.7 this dependency of core functionality on a ``contrib``
appplication has been removed, because of which ``LiveServerTestCase``
ability in this respect has been retrofitted to simply publish the contents
of the file system under :setting:`STATIC_ROOT` at the :setting:`STATIC_URL`
URL.
If you use the ``staticfiles`` app in your project and need to perform live
testing then you might want to consider using the
:class:`~django.contrib.staticfiles.testing.StaticLiveServerCase` subclass
shipped with it instead because it's the one that implements the original
behavior now. See :ref:`the relevant documentation
<staticfiles-testing-support>` for more details.
.. note::
When using an in-memory SQLite database to run the tests, the same database
connection will be shared by two threads in parallel: the thread in which
the live server is run and the thread in which the test case is run. It's
important to prevent simultaneous database queries via this shared
connection by the two threads, as that may sometimes randomly cause the
tests to fail. So you need to ensure that the two threads don't access the
database at the same time. In particular, this means that in some cases
(for example, just after clicking a link or submitting a form), you might
need to check that a response is received by Selenium and that the next
page is loaded before proceeding with further test execution.
Do this, for example, by making Selenium wait until the ``<body>`` HTML tag
is found in the response (requires Selenium > 2.13):
.. code-block:: python
def test_login(self):
from selenium.webdriver.support.wait import WebDriverWait
timeout = 2
...
self.selenium.find_element_by_xpath('//input[@value="Log in"]').click()
# Wait until the response is received
WebDriverWait(self.selenium, timeout).until(
lambda driver: driver.find_element_by_tag_name('body'))
The tricky thing here is that there's really no such thing as a "page load,"
especially in modern Web apps that generate HTML dynamically after the
server generates the initial document. So, simply checking for the presence
of ``<body>`` in the response might not necessarily be appropriate for all
use cases. Please refer to the `Selenium FAQ`_ and
`Selenium documentation`_ for more information.
.. _Selenium FAQ: http://code.google.com/p/selenium/wiki/FrequentlyAskedQuestions#Q:_WebDriver_fails_to_find_elements_/_Does_not_block_on_page_loa
.. _Selenium documentation: http://seleniumhq.org/docs/04_webdriver_advanced.html#explicit-waits
Test cases features
-------------------
Default test client
~~~~~~~~~~~~~~~~~~~
.. attribute:: SimpleTestCase.client
Every test case in a ``django.test.*TestCase`` instance has access to an
instance of a Django test client. This client can be accessed as
``self.client``. This client is recreated for each test, so you don't have to
worry about state (such as cookies) carrying over from one test to another.
This means, instead of instantiating a ``Client`` in each test::
import unittest
from django.test import Client
class SimpleTest(unittest.TestCase):
def test_details(self):
client = Client()
response = client.get('/customer/details/')
self.assertEqual(response.status_code, 200)
def test_index(self):
client = Client()
response = client.get('/customer/index/')
self.assertEqual(response.status_code, 200)
...you can just refer to ``self.client``, like so::
from django.test import TestCase
class SimpleTest(TestCase):
def test_details(self):
response = self.client.get('/customer/details/')
self.assertEqual(response.status_code, 200)
def test_index(self):
response = self.client.get('/customer/index/')
self.assertEqual(response.status_code, 200)
Customizing the test client
~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. attribute:: SimpleTestCase.client_class
If you want to use a different ``Client`` class (for example, a subclass
with customized behavior), use the :attr:`~SimpleTestCase.client_class` class
attribute::
from django.test import TestCase, Client
class MyTestClient(Client):
# Specialized methods for your environment...
class MyTest(TestCase):
client_class = MyTestClient
def test_my_stuff(self):
# Here self.client is an instance of MyTestClient...
call_some_test_code()
.. _topics-testing-fixtures:
Fixture loading
~~~~~~~~~~~~~~~
.. attribute:: TransactionTestCase.fixtures
A test case for a database-backed Web site isn't much use if there isn't any
data in the database. To make it easy to put test data into the database,
Django's custom ``TransactionTestCase`` class provides a way of loading
**fixtures**.
A fixture is a collection of data that Django knows how to import into a
database. For example, if your site has user accounts, you might set up a
fixture of fake user accounts in order to populate your database during tests.
The most straightforward way of creating a fixture is to use the
:djadmin:`manage.py dumpdata <dumpdata>` command. This assumes you
already have some data in your database. See the :djadmin:`dumpdata
documentation<dumpdata>` for more details.
.. note::
If you've ever run :djadmin:`manage.py migrate<migrate>`, you've
already used a fixture without even knowing it! When you call
:djadmin:`migrate` in the database for the first time, Django
installs a fixture called ``initial_data``. This gives you a way
of populating a new database with any initial data, such as a
default set of categories.
Fixtures with other names can always be installed manually using
the :djadmin:`manage.py loaddata<loaddata>` command.
.. admonition:: Initial SQL data and testing
Django provides a second way to insert initial data into models --
the :ref:`custom SQL hook <initial-sql>`. However, this technique
*cannot* be used to provide initial data for testing purposes.
Django's test framework flushes the contents of the test database
after each test; as a result, any data added using the custom SQL
hook will be lost.
Once you've created a fixture and placed it in a ``fixtures`` directory in one
of your :setting:`INSTALLED_APPS`, you can use it in your unit tests by
specifying a ``fixtures`` class attribute on your :class:`django.test.TestCase`
subclass::
from django.test import TestCase
from myapp.models import Animal
class AnimalTestCase(TestCase):
fixtures = ['mammals.json', 'birds']
def setUp(self):
# Test definitions as before.
call_setup_methods()
def testFluffyAnimals(self):
# A test that uses the fixtures.
call_some_test_code()
Here's specifically what will happen:
* At the start of each test case, before ``setUp()`` is run, Django will
flush the database, returning the database to the state it was in
directly after :djadmin:`migrate` was called.
* Then, all the named fixtures are installed. In this example, Django will
install any JSON fixture named ``mammals``, followed by any fixture named
``birds``. See the :djadmin:`loaddata` documentation for more
details on defining and installing fixtures.
This flush/load procedure is repeated for each test in the test case, so you
can be certain that the outcome of a test will not be affected by another test,
or by the order of test execution.
By default, fixtures are only loaded into the ``default`` database. If you are
using multiple databases and set :attr:`multi_db=True
<TransactionTestCase.multi_db>`, fixtures will be loaded into all databases.
URLconf configuration
~~~~~~~~~~~~~~~~~~~~~
.. attribute:: SimpleTestCase.urls
If your application provides views, you may want to include tests that use the
test client to exercise those views. However, an end user is free to deploy the
views in your application at any URL of their choosing. This means that your
tests can't rely upon the fact that your views will be available at a
particular URL.
In order to provide a reliable URL space for your test,
``django.test.*TestCase`` classes provide the ability to customize the URLconf
configuration for the duration of the execution of a test suite. If your
``*TestCase`` instance defines an ``urls`` attribute, the ``*TestCase`` will use
the value of that attribute as the :setting:`ROOT_URLCONF` for the duration
of that test.
For example::
from django.test import TestCase
class TestMyViews(TestCase):
urls = 'myapp.test_urls'
def testIndexPageView(self):
# Here you'd test your view using ``Client``.
call_some_test_code()
This test case will use the contents of ``myapp.test_urls`` as the
URLconf for the duration of the test case.
.. _emptying-test-outbox:
Multi-database support
~~~~~~~~~~~~~~~~~~~~~~
.. attribute:: TransactionTestCase.multi_db
Django sets up a test database corresponding to every database that is
defined in the :setting:`DATABASES` definition in your settings
file. However, a big part of the time taken to run a Django TestCase
is consumed by the call to ``flush`` that ensures that you have a
clean database at the start of each test run. If you have multiple
databases, multiple flushes are required (one for each database),
which can be a time consuming activity -- especially if your tests
don't need to test multi-database activity.
As an optimization, Django only flushes the ``default`` database at
the start of each test run. If your setup contains multiple databases,
and you have a test that requires every database to be clean, you can
use the ``multi_db`` attribute on the test suite to request a full
flush.
For example::
class TestMyViews(TestCase):
multi_db = True
def testIndexPageView(self):
call_some_test_code()
This test case will flush *all* the test databases before running
``testIndexPageView``.
The ``multi_db`` flag also affects into which databases the
attr:`TransactionTestCase.fixtures` are loaded. By default (when
``multi_db=False``), fixtures are only loaded into the ``default`` database.
If ``multi_db=True``, fixtures are loaded into all databases.
.. _overriding-settings:
Overriding settings
~~~~~~~~~~~~~~~~~~~
.. method:: SimpleTestCase.settings
For testing purposes it's often useful to change a setting temporarily and
revert to the original value after running the testing code. For this use case
Django provides a standard Python context manager (see :pep:`343`) called
:meth:`~django.test.SimpleTestCase.settings`, which can be used like this::
from django.test import TestCase
class LoginTestCase(TestCase):
def test_login(self):
# First check for the default behavior
response = self.client.get('/sekrit/')
self.assertRedirects(response, '/accounts/login/?next=/sekrit/')
# Then override the LOGIN_URL setting
with self.settings(LOGIN_URL='/other/login/'):
response = self.client.get('/sekrit/')
self.assertRedirects(response, '/other/login/?next=/sekrit/')
This example will override the :setting:`LOGIN_URL` setting for the code
in the ``with`` block and reset its value to the previous state afterwards.
.. method:: SimpleTestCase.modify_settings
.. versionadded:: 1.7
It can prove unwieldy to redefine settings that contain a list of values. In
practice, adding or removing values is often sufficient. The
:meth:`~django.test.SimpleTestCase.modify_settings` context manager makes it
easy::
from django.test import TestCase
class MiddlewareTestCase(TestCase):
def test_cache_middleware(self):
with self.modify_settings(MIDDLEWARE_CLASSES={
'append': 'django.middleware.cache.FetchFromCacheMiddleware',
'prepend': 'django.middleware.cache.UpdateCacheMiddleware',
'remove': [
'django.contrib.sessions.middleware.SessionMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
],
}):
response = self.client.get('/')
# ...
For each action, you can supply either a list of values or a string. When the
value already exists in the list, ``append`` and ``prepend`` have no effect;
neither does ``remove`` when the value doesn't exist.
.. function:: override_settings
In case you want to override a setting for a test method, Django provides the
:func:`~django.test.override_settings` decorator (see :pep:`318`). It's used
like this::
from django.test import TestCase, override_settings
class LoginTestCase(TestCase):
@override_settings(LOGIN_URL='/other/login/')
def test_login(self):
response = self.client.get('/sekrit/')
self.assertRedirects(response, '/other/login/?next=/sekrit/')
The decorator can also be applied to :class:`~django.test.TestCase` classes::
from django.test import TestCase, override_settings
@override_settings(LOGIN_URL='/other/login/')
class LoginTestCase(TestCase):
def test_login(self):
response = self.client.get('/sekrit/')
self.assertRedirects(response, '/other/login/?next=/sekrit/')
.. versionchanged:: 1.7
Previously, ``override_settings`` was imported from ``django.test.utils``.
.. function:: modify_settings
.. versionadded:: 1.7
Likewise, Django provides the :func:`~django.test.modify_settings`
decorator::
from django.test import TestCase, modify_settings
class MiddlewareTestCase(TestCase):
@modify_settings(MIDDLEWARE_CLASSES={
'append': 'django.middleware.cache.FetchFromCacheMiddleware',
'prepend': 'django.middleware.cache.UpdateCacheMiddleware',
})
def test_cache_middleware(self):
response = self.client.get('/')
# ...
The decorator can also be applied to test case classes::
from django.test import TestCase, modify_settings
@modify_settings(MIDDLEWARE_CLASSES={
'append': 'django.middleware.cache.FetchFromCacheMiddleware',
'prepend': 'django.middleware.cache.UpdateCacheMiddleware',
})
class MiddlewareTestCase(TestCase):
def test_cache_middleware(self):
response = self.client.get('/')
# ...
.. note::
When given a class, these decorators modify the class directly and return
it; they don't create and return a modified copy of it. So if you try to
tweak the above examples to assign the return value to a different name
than ``LoginTestCase`` or ``MiddlewareTestCase``, you may be surprised to
find that the original test case classes are still equally affected by the
decorator. For a given class, :func:`~django.test.modify_settings` is
always applied after :func:`~django.test.override_settings`.
.. warning::
The settings file contains some settings that are only consulted during
initialization of Django internals. If you change them with
``override_settings``, the setting is changed if you access it via the
``django.conf.settings`` module, however, Django's internals access it
differently. Effectively, using :func:`~django.test.override_settings` or
:func:`~django.test.modify_settings` with these settings is probably not
going to do what you expect it to do.
We do not recommend altering the :setting:`DATABASES` setting. Altering
the :setting:`CACHES` setting is possible, but a bit tricky if you are
using internals that make using of caching, like
:mod:`django.contrib.sessions`. For example, you will have to reinitialize
the session backend in a test that uses cached sessions and overrides
:setting:`CACHES`.
You can also simulate the absence of a setting by deleting it after settings
have been overridden, like this::
@override_settings()
def test_something(self):
del settings.LOGIN_URL
...
When overriding settings, make sure to handle the cases in which your app's
code uses a cache or similar feature that retains state even if the setting is
changed. Django provides the :data:`django.test.signals.setting_changed`
signal that lets you register callbacks to clean up and otherwise reset state
when settings are changed.
Django itself uses this signal to reset various data:
================================ ========================
Overridden settings Data reset
================================ ========================
USE_TZ, TIME_ZONE Databases timezone
TEMPLATE_CONTEXT_PROCESSORS Context processors cache
TEMPLATE_LOADERS Template loaders cache
SERIALIZATION_MODULES Serializers cache
LOCALE_PATHS, LANGUAGE_CODE Default translation and loaded translations
MEDIA_ROOT, DEFAULT_FILE_STORAGE Default file storage
================================ ========================
Emptying the test outbox
~~~~~~~~~~~~~~~~~~~~~~~~
If you use any of Django's custom ``TestCase`` classes, the test runner will
clear the contents of the test email outbox at the start of each test case.
For more detail on email services during tests, see `Email services`_ below.
.. _assertions:
Assertions
~~~~~~~~~~
As Python's normal :class:`unittest.TestCase` class implements assertion methods
such as :meth:`~unittest.TestCase.assertTrue` and
:meth:`~unittest.TestCase.assertEqual`, Django's custom :class:`TestCase` class
provides a number of custom assertion methods that are useful for testing Web
applications:
The failure messages given by most of these assertion methods can be customized
with the ``msg_prefix`` argument. This string will be prefixed to any failure
message generated by the assertion. This allows you to provide additional
details that may help you to identify the location and cause of an failure in
your test suite.
.. method:: SimpleTestCase.assertRaisesMessage(expected_exception, expected_message, callable_obj=None, *args, **kwargs)
Asserts that execution of callable ``callable_obj`` raised the
``expected_exception`` exception and that such exception has an
``expected_message`` representation. Any other outcome is reported as a
failure. Similar to unittest's :meth:`~unittest.TestCase.assertRaisesRegexp`
with the difference that ``expected_message`` isn't a regular expression.
.. method:: SimpleTestCase.assertFieldOutput(self, fieldclass, valid, invalid, field_args=None, field_kwargs=None, empty_value=u'')
Asserts that a form field behaves correctly with various inputs.
:param fieldclass: the class of the field to be tested.
:param valid: a dictionary mapping valid inputs to their expected cleaned
values.
:param invalid: a dictionary mapping invalid inputs to one or more raised
error messages.
:param field_args: the args passed to instantiate the field.
:param field_kwargs: the kwargs passed to instantiate the field.
:param empty_value: the expected clean output for inputs in ``empty_values``.
For example, the following code tests that an ``EmailField`` accepts
"a@a.com" as a valid email address, but rejects "aaa" with a reasonable
error message::
self.assertFieldOutput(EmailField, {'a@a.com': 'a@a.com'}, {'aaa': [u'Enter a valid email address.']})
.. method:: SimpleTestCase.assertFormError(response, form, field, errors, msg_prefix='')
Asserts that a field on a form raises the provided list of errors when
rendered on the form.
``form`` is the name the ``Form`` instance was given in the template
context.
``field`` is the name of the field on the form to check. If ``field``
has a value of ``None``, non-field errors (errors you can access via
``form.non_field_errors()``) will be checked.
``errors`` is an error string, or a list of error strings, that are
expected as a result of form validation.
.. method:: SimpleTestCase.assertFormsetError(response, formset, form_index, field, errors, msg_prefix='')
.. versionadded:: 1.6
Asserts that the ``formset`` raises the provided list of errors when
rendered.
``formset`` is the name the ``Formset`` instance was given in the template
context.
``form_index`` is the number of the form within the ``Formset``. If
``form_index`` has a value of ``None``, non-form errors (errors you can
access via ``formset.non_form_errors()``) will be checked.
``field`` is the name of the field on the form to check. If ``field``
has a value of ``None``, non-field errors (errors you can access via
``form.non_field_errors()``) will be checked.
``errors`` is an error string, or a list of error strings, that are
expected as a result of form validation.
.. method:: SimpleTestCase.assertContains(response, text, count=None, status_code=200, msg_prefix='', html=False)
Asserts that a ``Response`` instance produced the given ``status_code`` and
that ``text`` appears in the content of the response. If ``count`` is
provided, ``text`` must occur exactly ``count`` times in the response.
Set ``html`` to ``True`` to handle ``text`` as HTML. The comparison with
the response content will be based on HTML semantics instead of
character-by-character equality. Whitespace is ignored in most cases,
attribute ordering is not significant. See
:meth:`~SimpleTestCase.assertHTMLEqual` for more details.
.. method:: SimpleTestCase.assertNotContains(response, text, status_code=200, msg_prefix='', html=False)
Asserts that a ``Response`` instance produced the given ``status_code`` and
that ``text`` does not appears in the content of the response.
Set ``html`` to ``True`` to handle ``text`` as HTML. The comparison with
the response content will be based on HTML semantics instead of
character-by-character equality. Whitespace is ignored in most cases,
attribute ordering is not significant. See
:meth:`~SimpleTestCase.assertHTMLEqual` for more details.
.. method:: SimpleTestCase.assertTemplateUsed(response, template_name, msg_prefix='')
Asserts that the template with the given name was used in rendering the
response.
The name is a string such as ``'admin/index.html'``.
You can use this as a context manager, like this::
with self.assertTemplateUsed('index.html'):
render_to_string('index.html')
with self.assertTemplateUsed(template_name='index.html'):
render_to_string('index.html')
.. method:: SimpleTestCase.assertTemplateNotUsed(response, template_name, msg_prefix='')
Asserts that the template with the given name was *not* used in rendering
the response.
You can use this as a context manager in the same way as
:meth:`~SimpleTestCase.assertTemplateUsed`.
.. method:: SimpleTestCase.assertRedirects(response, expected_url, status_code=302, target_status_code=200, msg_prefix='', fetch_redirect_response=True)
Asserts that the response return a ``status_code`` redirect status, it
redirected to ``expected_url`` (including any GET data), and the final
page was received with ``target_status_code``.
If your request used the ``follow`` argument, the ``expected_url`` and
``target_status_code`` will be the url and status code for the final
point of the redirect chain.
.. versionadded:: 1.7
If ``fetch_redirect_response`` is ``False``, the final page won't be
loaded. Since the test client can't fetch externals URLs, this is
particularly useful if ``expected_url`` isn't part of your Django app.
.. versionadded:: 1.7
Scheme is handled correctly when making comparisons between two URLs. If
there isn't any scheme specified in the location where we are redirected to,
the original request's scheme is used. If present, the scheme in
``expected_url`` is the one used to make the comparisons to.
.. method:: SimpleTestCase.assertHTMLEqual(html1, html2, msg=None)
Asserts that the strings ``html1`` and ``html2`` are equal. The comparison
is based on HTML semantics. The comparison takes following things into
account:
* Whitespace before and after HTML tags is ignored.
* All types of whitespace are considered equivalent.
* All open tags are closed implicitly, e.g. when a surrounding tag is
closed or the HTML document ends.
* Empty tags are equivalent to their self-closing version.
* The ordering of attributes of an HTML element is not significant.
* Attributes without an argument are equal to attributes that equal in
name and value (see the examples).
The following examples are valid tests and don't raise any
``AssertionError``::
self.assertHTMLEqual('<p>Hello <b>world!</p>',
'''<p>
Hello <b>world! <b/>
</p>''')
self.assertHTMLEqual(
'<input type="checkbox" checked="checked" id="id_accept_terms" />',
'<input id="id_accept_terms" type='checkbox' checked>')
``html1`` and ``html2`` must be valid HTML. An ``AssertionError`` will be
raised if one of them cannot be parsed.
Output in case of error can be customized with the ``msg`` argument.
.. method:: SimpleTestCase.assertHTMLNotEqual(html1, html2, msg=None)
Asserts that the strings ``html1`` and ``html2`` are *not* equal. The
comparison is based on HTML semantics. See
:meth:`~SimpleTestCase.assertHTMLEqual` for details.
``html1`` and ``html2`` must be valid HTML. An ``AssertionError`` will be
raised if one of them cannot be parsed.
Output in case of error can be customized with the ``msg`` argument.
.. method:: SimpleTestCase.assertXMLEqual(xml1, xml2, msg=None)
Asserts that the strings ``xml1`` and ``xml2`` are equal. The
comparison is based on XML semantics. Similarly to
:meth:`~SimpleTestCase.assertHTMLEqual`, the comparison is
made on parsed content, hence only semantic differences are considered, not
syntax differences. When unvalid XML is passed in any parameter, an
``AssertionError`` is always raised, even if both string are identical.
Output in case of error can be customized with the ``msg`` argument.
.. method:: SimpleTestCase.assertXMLNotEqual(xml1, xml2, msg=None)
Asserts that the strings ``xml1`` and ``xml2`` are *not* equal. The
comparison is based on XML semantics. See
:meth:`~SimpleTestCase.assertXMLEqual` for details.
Output in case of error can be customized with the ``msg`` argument.
.. method:: SimpleTestCase.assertInHTML(needle, haystack, count=None, msg_prefix='')
Asserts that the HTML fragment ``needle`` is contained in the ``haystack`` one.
If the ``count`` integer argument is specified, then additionally the number
of ``needle`` occurrences will be strictly verified.
Whitespace in most cases is ignored, and attribute ordering is not
significant. The passed-in arguments must be valid HTML.
.. method:: SimpleTestCase.assertJSONEqual(raw, expected_data, msg=None)
Asserts that the JSON fragments ``raw`` and ``expected_data`` are equal.
Usual JSON non-significant whitespace rules apply as the heavyweight is
delegated to the :mod:`json` library.
Output in case of error can be customized with the ``msg`` argument.
.. method:: TransactionTestCase.assertQuerysetEqual(qs, values, transform=repr, ordered=True)
Asserts that a queryset ``qs`` returns a particular list of values ``values``.
The comparison of the contents of ``qs`` and ``values`` is performed using
the function ``transform``; by default, this means that the ``repr()`` of
each value is compared. Any other callable can be used if ``repr()`` doesn't
provide a unique or helpful comparison.
By default, the comparison is also ordering dependent. If ``qs`` doesn't
provide an implicit ordering, you can set the ``ordered`` parameter to
``False``, which turns the comparison into a Python set comparison.
.. versionchanged:: 1.6
The method now checks for undefined order and raises ``ValueError``
if undefined order is spotted. The ordering is seen as undefined if
the given ``qs`` isn't ordered and the comparison is against more
than one ordered values.
.. method:: TransactionTestCase.assertNumQueries(num, func, *args, **kwargs)
Asserts that when ``func`` is called with ``*args`` and ``**kwargs`` that
``num`` database queries are executed.
If a ``"using"`` key is present in ``kwargs`` it is used as the database
alias for which to check the number of queries. If you wish to call a
function with a ``using`` parameter you can do it by wrapping the call with
a ``lambda`` to add an extra parameter::
self.assertNumQueries(7, lambda: my_function(using=7))
You can also use this as a context manager::
with self.assertNumQueries(2):
Person.objects.create(name="Aaron")
Person.objects.create(name="Daniel")
.. _topics-testing-email:
Email services
--------------
If any of your Django views send email using :doc:`Django's email
functionality </topics/email>`, you probably don't want to send email each time
you run a test using that view. For this reason, Django's test runner
automatically redirects all Django-sent email to a dummy outbox. This lets you
test every aspect of sending email -- from the number of messages sent to the
contents of each message -- without actually sending the messages.
The test runner accomplishes this by transparently replacing the normal
email backend with a testing backend.
(Don't worry -- this has no effect on any other email senders outside of
Django, such as your machine's mail server, if you're running one.)
.. currentmodule:: django.core.mail
.. data:: django.core.mail.outbox
During test running, each outgoing email is saved in
``django.core.mail.outbox``. This is a simple list of all
:class:`~django.core.mail.EmailMessage` instances that have been sent.
The ``outbox`` attribute is a special attribute that is created *only* when
the ``locmem`` email backend is used. It doesn't normally exist as part of the
:mod:`django.core.mail` module and you can't import it directly. The code
below shows how to access this attribute correctly.
Here's an example test that examines ``django.core.mail.outbox`` for length
and contents::
from django.core import mail
from django.test import TestCase
class EmailTest(TestCase):
def test_send_email(self):
# Send message.
mail.send_mail('Subject here', 'Here is the message.',
'from@example.com', ['to@example.com'],
fail_silently=False)
# Test that one message has been sent.
self.assertEqual(len(mail.outbox), 1)
# Verify that the subject of the first message is correct.
self.assertEqual(mail.outbox[0].subject, 'Subject here')
As noted :ref:`previously <emptying-test-outbox>`, the test outbox is emptied
at the start of every test in a Django ``*TestCase``. To empty the outbox
manually, assign the empty list to ``mail.outbox``::
from django.core import mail
# Empty the test outbox
mail.outbox = []
.. _skipping-tests:
Skipping tests
--------------
.. currentmodule:: django.test
The unittest library provides the :func:`@skipIf <unittest.skipIf>` and
:func:`@skipUnless <unittest.skipUnless>` decorators to allow you to skip tests
if you know ahead of time that those tests are going to fail under certain
conditions.
For example, if your test requires a particular optional library in order to
succeed, you could decorate the test case with :func:`@skipIf
<unittest.skipIf>`. Then, the test runner will report that the test wasn't
executed and why, instead of failing the test or omitting the test altogether.
To supplement these test skipping behaviors, Django provides two
additional skip decorators. Instead of testing a generic boolean,
these decorators check the capabilities of the database, and skip the
test if the database doesn't support a specific named feature.
The decorators use a string identifier to describe database features.
This string corresponds to attributes of the database connection
features class. See ``django.db.backends.BaseDatabaseFeatures``
class for a full list of database features that can be used as a basis
for skipping tests.
.. function:: skipIfDBFeature(feature_name_string)
Skip the decorated test or ``TestCase`` if the named database feature is
supported.
For example, the following test will not be executed if the database
supports transactions (e.g., it would *not* run under PostgreSQL, but
it would under MySQL with MyISAM tables)::
class MyTests(TestCase):
@skipIfDBFeature('supports_transactions')
def test_transaction_behavior(self):
# ... conditional test code
.. versionchanged:: 1.7
``skipIfDBFeature`` can now be used to decorate a ``TestCase`` class.
.. function:: skipUnlessDBFeature(feature_name_string)
Skip the decorated test or ``TestCase`` if the named database feature is *not*
supported.
For example, the following test will only be executed if the database
supports transactions (e.g., it would run under PostgreSQL, but *not*
under MySQL with MyISAM tables)::
class MyTests(TestCase):
@skipUnlessDBFeature('supports_transactions')
def test_transaction_behavior(self):
# ... conditional test code
.. versionchanged:: 1.7
``skipUnlessDBFeature`` can now be used to decorate a ``TestCase`` class.
Reference in New Issue View Git Blame Copy Permalink