test_ok1/doc/en/unittest.txt

172 lines
6.8 KiB
Plaintext

.. _`unittest.TestCase`:
Support for unittest.TestCase / Integration of fixtures
=====================================================================
.. _`unittest.py style`: http://docs.python.org/library/unittest.html
py.test has support for running Python `unittest.py style`_ tests.
It's meant for leveraging existing unittest-style projects
to use pytest features. Concretely, pytest will automatically
collect ``unittest.TestCase`` subclasses and their ``test`` methods in
test files. It will invoke typlical ``setUp/tearDown`` methods and
generally try to make test suites written to run on unittest, to also
run using pytest. We assume here that you are familiar with writing
``unittest.TestCase`` style tests and rather focus on
integration aspects.
Usage
-------------------------------------------------------------------
After :ref:`installation` type::
py.test
and you should be able to run your unittest-style tests if they
are contained in ``test_*`` modules. This way you can make
use of most :ref:`pytest features <features>`, for example
``--pdb`` debugging in failures, using :ref:`plain assert-statements <assert>`,
:ref:`more informative tracebacks <tbreportdemo>`, stdout-capturing or
distributing tests to multiple CPUs via the ``-nNUM`` option if you
installed the ``pytest-xdist`` plugin. Please refer to
the general pytest documentation for many more examples.
Mixing pytest fixtures into unittest.TestCase style tests
-----------------------------------------------------------
pytest supports using its :ref:`fixture mechanism <fixture>` with
``unittest.TestCase`` style tests. Assuming you have at least skimmed
the pytest fixture features, let's jump-start into an example that
integrates a pytest ``db_class`` fixture, setting up a
class-cached database object, and then reference it from
a unittest-style test::
# content of conftest.py
# hooks and fixtures in this file are available throughout all test
# modules living below the directory of this conftest.py file
import pytest
@pytest.fixture(scope="class")
def db_class(request):
class DummyDB:
pass
request.cls.db = DummyDB()
This defines a fixture function ``db_class`` which - if used - is
called once for each test class and which sets the class-level
``db`` attribute to a ``DummyDB`` instance. The fixture function
achieves this by receiving a special ``request`` object which gives
access to :ref:`the requesting test context <request-context>` such
as the ``cls`` attribute, denoting the class from which the fixture
is used. This architecture de-couples fixture writing from actual test
code and allows re-use of the fixture by a minimal reference, the fixture
name. So let's write an actual ``unittest.TestCase`` class using our
fixture definition::
# content of test_unittest_db.py
import unittest
import pytest
@pytest.mark.usefixtures("db_class")
class MyTest(unittest.TestCase):
def test_method1(self):
assert hasattr(self, "db")
assert 0, self.db # fail for demo purposes
def test_method2(self):
assert 0, self.db # fail for demo purposes
The ``@pytest.mark.usefixtures("db_class")`` class-decorator makes sure that
the pytest fixture function ``db_class`` is called for each test method.
Due to the deliberately failing assert statements, we can take a look at
the ``self.db`` values in the traceback::
$ py.test test_unittest_db.py
=========================== test session starts ============================
platform linux2 -- Python 2.7.3 -- pytest-2.3.0.dev27
collected 2 items
test_unittest_db.py FF
================================= FAILURES =================================
___________________________ MyTest.test_method1 ____________________________
self = <test_unittest_db.MyTest testMethod=test_method1>
def test_method1(self):
assert hasattr(self, "db")
> assert 0, self.db # fail for demo purposes
E AssertionError: <conftest.DummyDB instance at 0x18ff9e0>
test_unittest_db.py:9: AssertionError
___________________________ MyTest.test_method2 ____________________________
self = <test_unittest_db.MyTest testMethod=test_method2>
def test_method2(self):
> assert 0, self.db # fail for demo purposes
E AssertionError: <conftest.DummyDB instance at 0x18ff9e0>
test_unittest_db.py:12: AssertionError
========================= 2 failed in 0.02 seconds =========================
This default pytest traceback shows that, indeed, the two test methods
share the same ``self.db`` instance which was our intention
when writing the class-scoped fixture function above.
autouse fixtures and accessing other fixtures
-------------------------------------------------------------------
Although it's usually better to explicitely declare use of fixtures you need
for a given test, you may sometimes want to have fixtures that are
automatically used in a given context. For this, you can flag
fixture functions with ``@pytest.fixture(autouse=True)`` and define
the fixture function in the context where you want it used. Let's look
at an ``initdir`` fixrure which makes all test methods of a ``TestCase`` class
execute in a temporary directory with a pre-initialized ``samplefile.ini``.
Our ``initdir`` fixture itself uses the pytest builtin :ref:`tmpdir <tmpdir>`
fixture to help with creating a temporary dir::
# content of test_unittest_cleandir.py
import pytest
import unittest
class MyTest(unittest.TestCase):
@pytest.fixture(autouse=True)
def initdir(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
Due to the ``autouse`` flag the ``initdir`` fixture function will be
used for all methods of the class where it is defined. This is a
shortcut for using a ``@pytest.mark.usefixtures("initdir")`` on the
class like in the previous example.
Running this test module ...::
$ py.test -q test_unittest_cleandir.py
.
... gives us one passed test because the ``initdir`` fixture function
was executed ahead of the ``test_method``.
.. note::
``unittest.TestCase`` methods cannot directly receive fixture
function arguments as implementing that is likely to inflict
on the ability to run general unittest.TestCase test suites.
Given enough demand, attempts might be made, though. If
unittest finally grows a reasonable plugin system that should
help as well. In the meanwhile, the above ``usefixtures`` and
``autouse`` examples should help to mix in pytest fixtures into
unittest suites.