202 lines
8.2 KiB
ReStructuredText
202 lines
8.2 KiB
ReStructuredText
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.. _`unittest.TestCase`:
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.. _`unittest`:
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Support for unittest.TestCase / Integration of fixtures
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=====================================================================
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.. _`unittest.py style`: http://docs.python.org/library/unittest.html
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``pytest`` has support for running Python `unittest.py style`_ tests.
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It's meant for leveraging existing unittest-style projects
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to use pytest features. Concretely, pytest will automatically
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collect ``unittest.TestCase`` subclasses and their ``test`` methods in
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test files. It will invoke typical setup/teardown methods and
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generally try to make test suites written to run on unittest, to also
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run using ``pytest``. We assume here that you are familiar with writing
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``unittest.TestCase`` style tests and rather focus on
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integration aspects.
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Note that this is meant as a provisional way of running your test code
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until you fully convert to pytest-style tests. To fully take advantage of
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:ref:`fixtures <fixture>`, :ref:`parametrization <parametrize>` and
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:ref:`hooks <writing-plugins>` you should convert (tools like `unittest2pytest
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<https://pypi.python.org/pypi/unittest2pytest/>`__ are helpful).
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Also, not all 3rd party pluging are expected to work best with
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``unittest.TestCase`` style tests.
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Usage
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-------------------------------------------------------------------
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After :ref:`installation` type::
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pytest
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and you should be able to run your unittest-style tests if they
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are contained in ``test_*`` modules. If that works for you then
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you can make use of most :ref:`pytest features <features>`, for example
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``--pdb`` debugging in failures, using :ref:`plain assert-statements <assert>`,
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:ref:`more informative tracebacks <tbreportdemo>`, stdout-capturing or
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distributing tests to multiple CPUs via the ``-nNUM`` option if you
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installed the ``pytest-xdist`` plugin. Please refer to
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the general ``pytest`` documentation for many more examples.
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.. note::
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Running tests from ``unittest.TestCase`` subclasses with ``--pdb`` will
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disable tearDown and cleanup methods for the case that an Exception
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occurs. This allows proper post mortem debugging for all applications
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which have significant logic in their tearDown machinery. However,
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supporting this feature has the following side effect: If people
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overwrite ``unittest.TestCase`` ``__call__`` or ``run``, they need to
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to overwrite ``debug`` in the same way (this is also true for standard
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unittest).
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Mixing pytest fixtures into unittest.TestCase style tests
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-----------------------------------------------------------
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Running your unittest with ``pytest`` allows you to use its
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:ref:`fixture mechanism <fixture>` with ``unittest.TestCase`` style
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tests. Assuming you have at least skimmed the pytest fixture features,
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let's jump-start into an example that integrates a pytest ``db_class``
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fixture, setting up a class-cached database object, and then reference
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it from a unittest-style test::
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# content of conftest.py
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# we define a fixture function below and it will be "used" by
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# referencing its name from tests
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import pytest
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@pytest.fixture(scope="class")
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def db_class(request):
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class DummyDB(object):
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pass
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# set a class attribute on the invoking test context
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request.cls.db = DummyDB()
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This defines a fixture function ``db_class`` which - if used - is
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called once for each test class and which sets the class-level
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``db`` attribute to a ``DummyDB`` instance. The fixture function
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achieves this by receiving a special ``request`` object which gives
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access to :ref:`the requesting test context <request-context>` such
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as the ``cls`` attribute, denoting the class from which the fixture
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is used. This architecture de-couples fixture writing from actual test
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code and allows re-use of the fixture by a minimal reference, the fixture
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name. So let's write an actual ``unittest.TestCase`` class using our
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fixture definition::
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# content of test_unittest_db.py
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import unittest
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import pytest
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@pytest.mark.usefixtures("db_class")
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class MyTest(unittest.TestCase):
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def test_method1(self):
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assert hasattr(self, "db")
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assert 0, self.db # fail for demo purposes
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def test_method2(self):
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assert 0, self.db # fail for demo purposes
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The ``@pytest.mark.usefixtures("db_class")`` class-decorator makes sure that
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the pytest fixture function ``db_class`` is called once per class.
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Due to the deliberately failing assert statements, we can take a look at
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the ``self.db`` values in the traceback::
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$ pytest test_unittest_db.py
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======= test session starts ========
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platform linux -- Python 3.5.2, pytest-3.0.6, py-1.4.33, pluggy-0.4.0
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rootdir: $REGENDOC_TMPDIR, inifile:
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collected 2 items
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test_unittest_db.py FF
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======= FAILURES ========
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_______ MyTest.test_method1 ________
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self = <test_unittest_db.MyTest testMethod=test_method1>
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def test_method1(self):
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assert hasattr(self, "db")
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> assert 0, self.db # fail for demo purposes
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E AssertionError: <conftest.db_class.<locals>.DummyDB object at 0xdeadbeef>
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E assert 0
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test_unittest_db.py:9: AssertionError
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_______ MyTest.test_method2 ________
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self = <test_unittest_db.MyTest testMethod=test_method2>
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def test_method2(self):
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> assert 0, self.db # fail for demo purposes
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E AssertionError: <conftest.db_class.<locals>.DummyDB object at 0xdeadbeef>
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E assert 0
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test_unittest_db.py:12: AssertionError
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======= 2 failed in 0.12 seconds ========
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This default pytest traceback shows that the two test methods
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share the same ``self.db`` instance which was our intention
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when writing the class-scoped fixture function above.
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autouse fixtures and accessing other fixtures
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-------------------------------------------------------------------
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Although it's usually better to explicitly declare use of fixtures you need
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for a given test, you may sometimes want to have fixtures that are
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automatically used in a given context. After all, the traditional
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style of unittest-setup mandates the use of this implicit fixture writing
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and chances are, you are used to it or like it.
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You can flag fixture functions with ``@pytest.fixture(autouse=True)``
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and define the fixture function in the context where you want it used.
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Let's look at an ``initdir`` fixture which makes all test methods of a
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``TestCase`` class execute in a temporary directory with a
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pre-initialized ``samplefile.ini``. Our ``initdir`` fixture itself uses
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the pytest builtin :ref:`tmpdir <tmpdir>` fixture to delegate the
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creation of a per-test temporary directory::
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# content of test_unittest_cleandir.py
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import pytest
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import unittest
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class MyTest(unittest.TestCase):
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@pytest.fixture(autouse=True)
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def initdir(self, tmpdir):
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tmpdir.chdir() # change to pytest-provided temporary directory
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tmpdir.join("samplefile.ini").write("# testdata")
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def test_method(self):
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s = open("samplefile.ini").read()
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assert "testdata" in s
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Due to the ``autouse`` flag the ``initdir`` fixture function will be
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used for all methods of the class where it is defined. This is a
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shortcut for using a ``@pytest.mark.usefixtures("initdir")`` marker
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on the class like in the previous example.
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Running this test module ...::
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$ pytest -q test_unittest_cleandir.py
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.
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1 passed in 0.12 seconds
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... gives us one passed test because the ``initdir`` fixture function
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was executed ahead of the ``test_method``.
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.. note::
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While pytest supports receiving fixtures via :ref:`test function arguments <funcargs>` for non-unittest test methods, ``unittest.TestCase`` methods cannot directly receive fixture
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function arguments as implementing that is likely to inflict
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on the ability to run general unittest.TestCase test suites.
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Maybe optional support would be possible, though. If unittest finally
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grows a plugin system that should help as well. In the meanwhile, the
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above ``usefixtures`` and ``autouse`` examples should help to mix in
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pytest fixtures into unittest suites. And of course you can also start
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to selectively leave away the ``unittest.TestCase`` subclassing, use
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plain asserts and get the unlimited pytest feature set.
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