250 lines
9.2 KiB
ReStructuredText
250 lines
9.2 KiB
ReStructuredText
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.. _`unittest.TestCase`:
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.. _`unittest`:
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unittest.TestCase Support
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=========================
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``pytest`` supports running Python ``unittest``-based tests out of the box.
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It's meant for leveraging existing ``unittest``-based test suites
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to use pytest as a test runner and also allow to incrementally adapt
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the test suite to take full advantage of pytest's features.
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To run an existing ``unittest``-style test suite using ``pytest``, type:
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.. code-block:: bash
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pytest tests
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pytest will automatically collect ``unittest.TestCase`` subclasses and
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their ``test`` methods in ``test_*.py`` or ``*_test.py`` files.
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Almost all ``unittest`` features are supported:
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* ``@unittest.skip`` style decorators;
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* ``setUp/tearDown``;
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* ``setUpClass/tearDownClass``;
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* ``setUpModule/tearDownModule``;
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.. _`load_tests protocol`: https://docs.python.org/3/library/unittest.html#load-tests-protocol
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.. _`subtests`: https://docs.python.org/3/library/unittest.html#distinguishing-test-iterations-using-subtests
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Up to this point pytest does not have support for the following features:
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* `load_tests protocol`_;
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* `subtests`_;
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Benefits out of the box
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-----------------------
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By running your test suite with pytest you can make use of several features,
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in most cases without having to modify existing code:
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* Obtain :ref:`more informative tracebacks <tbreportdemo>`;
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* :ref:`stdout and stderr <captures>` capturing;
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* :ref:`Test selection options <select-tests>` using ``-k`` and ``-m`` flags;
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* :ref:`maxfail`;
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* :ref:`--pdb <pdb-option>` command-line option for debugging on test failures
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(see :ref:`note <pdb-unittest-note>` below);
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* Distribute tests to multiple CPUs using the `pytest-xdist <https://pypi.org/project/pytest-xdist/>`_ plugin;
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* Use :ref:`plain assert-statements <assert>` instead of ``self.assert*`` functions (`unittest2pytest
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<https://pypi.org/project/unittest2pytest/>`__ is immensely helpful in this);
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pytest features in ``unittest.TestCase`` subclasses
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---------------------------------------------------
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The following pytest features work in ``unittest.TestCase`` subclasses:
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* :ref:`Marks <mark>`: :ref:`skip <skip>`, :ref:`skipif <skipif>`, :ref:`xfail <xfail>`;
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* :ref:`Auto-use fixtures <mixing-fixtures>`;
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The following pytest features **do not** work, and probably
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never will due to different design philosophies:
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* :ref:`Fixtures <fixture>` (except for ``autouse`` fixtures, see :ref:`below <mixing-fixtures>`);
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* :ref:`Parametrization <parametrize>`;
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* :ref:`Custom hooks <writing-plugins>`;
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Third party plugins may or may not work well, depending on the plugin and the test suite.
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.. _mixing-fixtures:
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Mixing pytest fixtures into ``unittest.TestCase`` subclasses using marks
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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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.. code-block:: python
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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:
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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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.. code-block:: python
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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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.. code-block:: pytest
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$ pytest test_unittest_db.py
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=========================== test session starts ============================
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platform linux -- Python 3.x.y, pytest-5.x.y, py-1.x.y, pluggy-0.x.y
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cachedir: $PYTHON_PREFIX/.pytest_cache
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rootdir: $REGENDOC_TMPDIR
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collected 2 items
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test_unittest_db.py FF [100%]
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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:10: 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:13: AssertionError
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============================ 2 failed in 0.12s =============================
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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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Using 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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.. code-block:: python
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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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with open("samplefile.ini") as f:
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s = f.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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.. code-block:: pytest
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$ pytest -q test_unittest_cleandir.py
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. [100%]
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1 passed in 0.12s
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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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``unittest.TestCase`` methods cannot directly receive fixture
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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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The above ``usefixtures`` and ``autouse`` examples should help to mix in
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pytest fixtures into unittest suites.
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You can also gradually move away from subclassing from ``unittest.TestCase`` to *plain asserts*
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and then start to benefit from the full pytest feature set step by step.
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.. _pdb-unittest-note:
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.. note::
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Due to architectural differences between the two frameworks, setup and
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teardown for ``unittest``-based tests is performed during the ``call`` phase
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of testing instead of in ``pytest``'s standard ``setup`` and ``teardown``
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stages. This can be important to understand in some situations, particularly
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when reasoning about errors. For example, if a ``unittest``-based suite
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exhibits errors during setup, ``pytest`` will report no errors during its
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``setup`` phase and will instead raise the error during ``call``.
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