.. _`unittest.TestCase`: Support for unittest.TestCase / Integration of fixtures ===================================================================== py.test has support for running Python `unittest.py style`_ tests. It will automatically collect ``unittest.TestCase`` subclasses and their ``test`` methods in test files. It will invoke ``setUp/tearDown`` methods but also perform py.test's standard ways of treating tests such as IO capturing:: # content of test_unittest.py import unittest class MyTest(unittest.TestCase): def setUp(self): print ("hello") # output is captured def test_method(self): x = 1 self.assertEquals(x, 3) Running it yields:: $ py.test test_unittest.py =========================== test session starts ============================ platform linux2 -- Python 2.7.3 -- pytest-2.3.0.dev20 collected 1 items test_unittest.py F ================================= FAILURES ================================= ____________________________ MyTest.test_method ____________________________ self = def test_method(self): x = 1 > self.assertEquals(x, 3) E AssertionError: 1 != 3 test_unittest.py:8: AssertionError ----------------------------- Captured stdout ------------------------------ hello ========================= 1 failed in 0.01 seconds ========================= .. _`unittest.py style`: http://docs.python.org/library/unittest.html Moreover, you can use pytest's new :ref:`autoactive fixtures` functions, thereby connecting pytest's :ref:`fixture mechanism ` with a setup/teardown style:: # content of test_unittest_funcargs.py import pytest import unittest class MyTest(unittest.TestCase): @pytest.fixture(autoactive=True) def chdir(self, tmpdir): tmpdir.chdir() # change to pytest-provided temporary directory tmpdir.join("samplefile.ini").write("# testdata") def test_method(self): s = open("samplefile.ini").read() assert "testdata" in s Running this file should give us one passed test because the setup function took care to prepare a directory with some test data which the unittest-testcase method can now use:: $ py.test -q test_unittest_funcargs.py . If you want to make a database attribute available on unittest.TestCases instances, you can do it using :ref:`usefixtures` and a simple :ref:`fixture function`:: # content of test_unittest_marked_db.py import pytest import unittest @pytest.fixture def db(request): class DummyDB: entries = [] db = DummyDB() if request.instance is not None: request.instance.db = db return db @pytest.mark.usefixtures("db") class MyTest(unittest.TestCase): def test_append(self): self.db.entries.append(1) def test_method2(self): # check we have a fresh instance assert len(self.db.entries) == 0 Running it passes both tests:: $ py.test -q test_unittest_marked_db.py .. If you rather want to provide a class-cached "db" attribute, you can write a slightly different fixture using a ``scope`` parameter for the fixture decorator :: # content of test_unittest_class_db.py import pytest import unittest @pytest.fixture(scope="class") def db_class(request): class DummyDB: entries = [] db = DummyDB() if request.cls is not None: request.cls.db = db return db @pytest.mark.usefixtures("db_class") class MyTest(unittest.TestCase): def test_append(self): self.db.entries.append(1) def test_method2(self): # check we DONT have a fresh instance assert len(self.db.entries) == 1 Running it again passes both tests:: $ py.test -q test_unittest_class_db.py ..