Usage and invocations
When using pytest-django, django-admin.py or manage.py is not used to run tests. This makes it possible to invoke pytest and other plugins with all its different options directly.
Running a test suite is done by invoking the pytest command directly:
Specific test files or directories can be selected by specifying the test file names directly on the command line:
pytest test_something.py a_directory
See the pytest documentation on Usage and invocations for more help on available parameters.
Additional command line options
--fail-on-template-vars - fail for invalid variables in templates
Fail tests that render templates which make use of invalid template variables.
You can switch it on in pytest.ini:
[pytest] FAIL_INVALID_TEMPLATE_VARS = True
Additional pytest.ini settings
django_debug_mode - change how DEBUG is set
By default tests run with the
setting set to
False. This is to ensure that the observed output of your
code matches what will be seen in a production setting.
If you want
DEBUG to be set:
[pytest] django_debug_mode = true
You can also use
django_debug_mode = keep to disable the overriding and use
whatever is already set in the Django settings.
Running tests in parallel with pytest-xdist
pytest-django supports running tests on multiple processes to speed up test suite run time. This can lead to significant speed improvements on multi core/multi CPU machines.
This requires the pytest-xdist plugin to be available, it can usually be installed with:
pip install pytest-xdist
You can then run the tests by running:
pytest -n <number of processes>
When tests are invoked with xdist, pytest-django will create a separate test database for each process. Each test database will be given a suffix (something like “gw0”, “gw1”) to map to a xdist process. If your database name is set to “foo”, the test database with xdist will be “test_foo_gw0”, “test_foo_gw1” etc.
See the full documentation on pytest-xdist for more information. Among other features, pytest-xdist can distribute/coordinate test execution on remote machines.