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Unit tests¶
Django comes with a test suite of its own, in the tests
directory of the
code base. It’s our policy to make sure all tests pass at all times.
We appreciate any and all contributions to the test suite!
The Django tests all use the testing infrastructure that ships with Django for testing applications. See Writing and running tests for an explanation of how to write new tests.
Running the unit tests¶
Quickstart¶
If you are on Python < 3.3, you’ll first need to install a backport of the
unittest.mock
module that’s available in Python 3.3+. See
Running all the tests for details on installing mock and
the other optional test dependencies.
Running the tests requires a Django settings module that defines the databases to use. To make it easy to get started, Django provides and uses a sample settings module that uses the SQLite database. To run the tests:
$ git clone https://github.com/django/django.git django-repo
$ cd django-repo/tests
$ PYTHONPATH=..:$PYTHONPATH ./runtests.py
Older versions of Django required specifying a settings file:
$ PYTHONPATH=..:$PYTHONPATH python ./runtests.py --settings=test_sqlite
runtests.py
now uses test_sqlite
by default if settings aren’t
provided through either --settings
or DJANGO_SETTINGS_MODULE
.
You can avoid typing the PYTHONPATH
bit each time by adding your Django
checkout to your PYTHONPATH
or by installing the source checkout using pip.
See Installing the development version.
Having problems? See Troubleshooting for some common issues.
Using another settings
module¶
The included settings module allows you to run the test suite using SQLite. If you want to test behavior using a different database (and if you’re proposing patches for Django, it’s a good idea to test across databases), you may need to define your own settings file.
To run the tests with different settings, ensure that the module is on your
PYTHONPATH
and pass the module with --settings
.
The DATABASES
setting in any test settings module needs to define
two databases:
- A
default
database. This database should use the backend that you want to use for primary testing. - A database with the alias
other
. Theother
database is used to establish that queries can be directed to different databases. As a result, this database can use any backend you want. It doesn’t need to use the same backend as thedefault
database (although it can use the same backend if you want to). It cannot be the same database as thedefault
.
If you’re using a backend that isn’t SQLite, you will need to provide other details for each database:
- The
USER
option needs to specify an existing user account for the database. That user needs permission to executeCREATE DATABASE
so that the test database can be created. - The
PASSWORD
option needs to provide the password for theUSER
that has been specified.
Test databases get their names by prepending test_
to the value of the
NAME
settings for the databases defined in DATABASES
.
These test databases are deleted when the tests are finished.
Before Django 1.7, the NAME
setting was mandatory and had to
be the name of an existing database to which the given user had permission
to connect.
You will also need to ensure that your database uses UTF-8 as the default
character set. If your database server doesn’t use UTF-8 as a default charset,
you will need to include a value for CHARSET
in the
test settings dictionary for the applicable database.
Running only some of the tests¶
Django’s entire test suite takes a while to run, and running every single test
could be redundant if, say, you just added a test to Django that you want to
run quickly without running everything else. You can run a subset of the unit
tests by appending the names of the test modules to runtests.py
on the
command line.
For example, if you’d like to run tests only for generic relations and internationalization, type:
$ ./runtests.py --settings=path.to.settings generic_relations i18n
How do you find out the names of individual tests? Look in tests/
— each
directory name there is the name of a test.
If you just want to run a particular class of tests, you can specify a list of
paths to individual test classes. For example, to run the TranslationTests
of the i18n
module, type:
$ ./runtests.py --settings=path.to.settings i18n.tests.TranslationTests
Going beyond that, you can specify an individual test method like this:
$ ./runtests.py --settings=path.to.settings i18n.tests.TranslationTests.test_lazy_objects
Running the Selenium tests¶
Some admin tests require Selenium 2, Firefox and Python >= 2.6 to work via a
real Web browser. To allow those tests to run and not be skipped, you must
install the selenium package (version > 2.13) into your Python path and run
the tests with the --selenium
option:
$ ./runtests.py --settings=test_sqlite --selenium admin_inlines
Running all the tests¶
If you want to run the full suite of tests, you’ll need to install a number of dependencies:
- bcrypt
- docutils
- jinja2 2.7+
- numpy
- Pillow
- PyYAML
- pytz
- setuptools
- memcached, plus a supported Python binding
- mock (for Python < 3.3)
- gettext (gettext on Windows)
- selenium
- sqlparse
You can find these dependencies in pip requirements files inside the
tests/requirements
directory of the Django source tree and install them
like so:
$ pip install -r tests/requirements/py3.txt # Python 2: py2.txt
You can also install the database adapter(s) of your choice using
oracle.txt
, mysql.txt
, or postgres.txt
.
If you want to test the memcached cache backend, you’ll also need to define
a CACHES
setting that points at your memcached instance.
To run the GeoDjango tests, you will need to setup a spatial database and install the Geospatial libraries.
Each of these dependencies is optional. If you’re missing any of them, the associated tests will be skipped.
Code coverage¶
Contributors are encouraged to run coverage on the test suite to identify areas that need additional tests. The coverage tool installation and use is described in testing code coverage.
To run coverage on the Django test suite using the standard test settings:
$ coverage run ./runtests.py --settings=test_sqlite
After running coverage, generate the html report by running:
$ coverage html
When running coverage for the Django tests, the included .coveragerc
settings file defines coverage_html
as the output directory for the report
and also excludes several directories not relevant to the results
(test code or external code included in Django).
Contrib apps¶
Tests for contrib apps can be found in the tests/
directory, typically
under <app_name>_tests
. For example, tests for contrib.auth
are located
in tests/auth_tests
.
Troubleshooting¶
Many test failures with UnicodeEncodeError
¶
If the locales
package is not installed, some tests will fail with a
UnicodeEncodeError
.
You can resolve this on Debian-based systems, for example, by running:
$ apt-get install locales
$ dpkg-reconfigure locales
Tests that only fail in combination¶
In case a test passes when run in isolation but fails within the whole suite, we have some tools to help analyze the problem.
The --bisect
option of runtests.py
will run the failing test while
halving the test set it is run together with on each iteration, often making
it possible to identify a small number of tests that may be related to the
failure.
For example, suppose that the failing test that works on its own is
ModelTest.test_eq
, then using:
$ ./runtests.py --bisect basic.tests.ModelTest.test_eq
will try to determine a test that interferes with the given one. First, the test is run with the first half of the test suite. If a failure occurs, the first half of the test suite is split in two groups and each group is then run with the specified test. If there is no failure with the first half of the test suite, the second half of the test suite is run with the specified test and split appropriately as described earlier. The process repeats until the set of failing tests is minimized.
The --pair
option runs the given test alongside every other test from the
suite, letting you check if another test has side-effects that cause the
failure. So:
$ ./runtests.py --pair basic.tests.ModelTest.test_eq
will pair test_eq
with every test label.
With both --bisect
and --pair
, if you already suspect which cases
might be responsible for the failure, you may limit tests to be cross-analyzed
by specifying further test labels after
the first one:
$ ./runtests.py --pair basic.tests.ModelTest.test_eq queries transactions
You can also try running any set of tests in reverse using the --reverse
option in order to verify that executing tests in a different order does not
cause any trouble:
$ ./runtests.py basic --reverse
If you wish to examine the SQL being run in failing tests, you can turn on
SQL logging using the --debug-sql
option. If you
combine this with --verbosity=2
, all SQL queries will be output.
$ ./runtests.py basic --debug-sql
The --reverse
and --debug-sql
options were added.