1303 lines
45 KiB
ReStructuredText
1303 lines
45 KiB
ReStructuredText
.. _fixture:
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.. _fixtures:
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.. _`fixture functions`:
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pytest fixtures: explicit, modular, scalable
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========================================================
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.. currentmodule:: _pytest.python
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.. versionadded:: 2.0/2.3/2.4
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.. _`xUnit`: http://en.wikipedia.org/wiki/XUnit
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.. _`purpose of test fixtures`: http://en.wikipedia.org/wiki/Test_fixture#Software
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.. _`Dependency injection`: http://en.wikipedia.org/wiki/Dependency_injection
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The `purpose of test fixtures`_ is to provide a fixed baseline
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upon which tests can reliably and repeatedly execute. pytest fixtures
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offer dramatic improvements over the classic xUnit style of setup/teardown
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functions:
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* fixtures have explicit names and are activated by declaring their use
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from test functions, modules, classes or whole projects.
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* fixtures are implemented in a modular manner, as each fixture name
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triggers a *fixture function* which can itself use other fixtures.
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* fixture management scales from simple unit to complex
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functional testing, allowing to parametrize fixtures and tests according
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to configuration and component options, or to re-use fixtures
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across function, class, module or whole test session scopes.
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In addition, pytest continues to support :ref:`xunitsetup`. You can mix
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both styles, moving incrementally from classic to new style, as you
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prefer. You can also start out from existing :ref:`unittest.TestCase
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style <unittest.TestCase>` or :ref:`nose based <nosestyle>` projects.
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.. _`funcargs`:
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.. _`funcarg mechanism`:
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.. _`fixture function`:
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.. _`@pytest.fixture`:
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.. _`pytest.fixture`:
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Fixtures as Function arguments
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-----------------------------------------
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Test functions can receive fixture objects by naming them as an input
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argument. For each argument name, a fixture function with that name provides
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the fixture object. Fixture functions are registered by marking them with
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:py:func:`@pytest.fixture <_pytest.python.fixture>`. Let's look at a simple
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self-contained test module containing a fixture and a test function
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using it::
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# content of ./test_smtpsimple.py
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import pytest
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@pytest.fixture
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def smtp_connection():
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import smtplib
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return smtplib.SMTP("smtp.gmail.com", 587, timeout=5)
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def test_ehlo(smtp_connection):
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response, msg = smtp_connection.ehlo()
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assert response == 250
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assert 0 # for demo purposes
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Here, the ``test_ehlo`` needs the ``smtp_connection`` fixture value. pytest
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will discover and call the :py:func:`@pytest.fixture <_pytest.python.fixture>`
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marked ``smtp_connection`` fixture function. Running the test looks like this:
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.. code-block:: pytest
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$ pytest test_smtpsimple.py
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=========================== test session starts ============================
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platform linux -- Python 3.x.y, pytest-4.x.y, py-1.x.y, pluggy-0.x.y
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hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('$REGENDOC_TMPDIR/.hypothesis/examples')
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rootdir: $REGENDOC_TMPDIR, inifile:
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plugins: hypothesis-3.x.y
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collected 1 item
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test_smtpsimple.py F [100%]
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================================= FAILURES =================================
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________________________________ test_ehlo _________________________________
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smtp_connection = <smtplib.SMTP object at 0xdeadbeef>
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def test_ehlo(smtp_connection):
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response, msg = smtp_connection.ehlo()
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assert response == 250
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> assert 0 # for demo purposes
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E assert 0
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test_smtpsimple.py:11: AssertionError
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========================= 1 failed in 0.12 seconds =========================
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In the failure traceback we see that the test function was called with a
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``smtp_connection`` argument, the ``smtplib.SMTP()`` instance created by the fixture
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function. The test function fails on our deliberate ``assert 0``. Here is
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the exact protocol used by ``pytest`` to call the test function this way:
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1. pytest :ref:`finds <test discovery>` the ``test_ehlo`` because
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of the ``test_`` prefix. The test function needs a function argument
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named ``smtp_connection``. A matching fixture function is discovered by
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looking for a fixture-marked function named ``smtp_connection``.
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2. ``smtp_connection()`` is called to create an instance.
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3. ``test_ehlo(<smtp_connection instance>)`` is called and fails in the last
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line of the test function.
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Note that if you misspell a function argument or want
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to use one that isn't available, you'll see an error
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with a list of available function arguments.
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.. note::
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You can always issue ::
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pytest --fixtures test_simplefactory.py
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to see available fixtures (fixtures with leading ``_`` are only shown if you add the ``-v`` option).
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Fixtures: a prime example of dependency injection
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---------------------------------------------------
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Fixtures allow test functions to easily receive and work
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against specific pre-initialized application objects without having
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to care about import/setup/cleanup details.
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It's a prime example of `dependency injection`_ where fixture
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functions take the role of the *injector* and test functions are the
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*consumers* of fixture objects.
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.. _`conftest.py`:
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.. _`conftest`:
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``conftest.py``: sharing fixture functions
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------------------------------------------
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If during implementing your tests you realize that you
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want to use a fixture function from multiple test files you can move it
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to a ``conftest.py`` file.
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You don't need to import the fixture you want to use in a test, it
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automatically gets discovered by pytest. The discovery of
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fixture functions starts at test classes, then test modules, then
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``conftest.py`` files and finally builtin and third party plugins.
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You can also use the ``conftest.py`` file to implement
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:ref:`local per-directory plugins <conftest.py plugins>`.
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Sharing test data
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-----------------
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If you want to make test data from files available to your tests, a good way
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to do this is by loading these data in a fixture for use by your tests.
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This makes use of the automatic caching mechanisms of pytest.
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Another good approach is by adding the data files in the ``tests`` folder.
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There are also community plugins available to help managing this aspect of
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testing, e.g. `pytest-datadir <https://pypi.org/project/pytest-datadir/>`__
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and `pytest-datafiles <https://pypi.org/project/pytest-datafiles/>`__.
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.. _smtpshared:
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Scope: sharing a fixture instance across tests in a class, module or session
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----------------------------------------------------------------------------
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.. regendoc:wipe
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Fixtures requiring network access depend on connectivity and are
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usually time-expensive to create. Extending the previous example, we
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can add a ``scope="module"`` parameter to the
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:py:func:`@pytest.fixture <_pytest.python.fixture>` invocation
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to cause the decorated ``smtp_connection`` fixture function to only be invoked
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once per test *module* (the default is to invoke once per test *function*).
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Multiple test functions in a test module will thus
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each receive the same ``smtp_connection`` fixture instance, thus saving time.
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Possible values for ``scope`` are: ``function``, ``class``, ``module``, ``package`` or ``session``.
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The next example puts the fixture function into a separate ``conftest.py`` file
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so that tests from multiple test modules in the directory can
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access the fixture function::
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# content of conftest.py
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import pytest
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import smtplib
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@pytest.fixture(scope="module")
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def smtp_connection():
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return smtplib.SMTP("smtp.gmail.com", 587, timeout=5)
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The name of the fixture again is ``smtp_connection`` and you can access its
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result by listing the name ``smtp_connection`` as an input parameter in any
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test or fixture function (in or below the directory where ``conftest.py`` is
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located)::
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# content of test_module.py
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def test_ehlo(smtp_connection):
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response, msg = smtp_connection.ehlo()
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assert response == 250
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assert b"smtp.gmail.com" in msg
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assert 0 # for demo purposes
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def test_noop(smtp_connection):
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response, msg = smtp_connection.noop()
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assert response == 250
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assert 0 # for demo purposes
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We deliberately insert failing ``assert 0`` statements in order to
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inspect what is going on and can now run the tests:
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.. code-block:: pytest
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$ pytest test_module.py
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=========================== test session starts ============================
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platform linux -- Python 3.x.y, pytest-4.x.y, py-1.x.y, pluggy-0.x.y
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hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('$REGENDOC_TMPDIR/.hypothesis/examples')
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rootdir: $REGENDOC_TMPDIR, inifile:
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plugins: hypothesis-3.x.y
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collected 2 items
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test_module.py FF [100%]
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================================= FAILURES =================================
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________________________________ test_ehlo _________________________________
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smtp_connection = <smtplib.SMTP object at 0xdeadbeef>
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def test_ehlo(smtp_connection):
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response, msg = smtp_connection.ehlo()
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assert response == 250
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assert b"smtp.gmail.com" in msg
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> assert 0 # for demo purposes
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E assert 0
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test_module.py:6: AssertionError
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________________________________ test_noop _________________________________
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smtp_connection = <smtplib.SMTP object at 0xdeadbeef>
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def test_noop(smtp_connection):
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response, msg = smtp_connection.noop()
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assert response == 250
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> assert 0 # for demo purposes
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E assert 0
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test_module.py:11: AssertionError
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========================= 2 failed in 0.12 seconds =========================
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You see the two ``assert 0`` failing and more importantly you can also see
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that the same (module-scoped) ``smtp_connection`` object was passed into the
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two test functions because pytest shows the incoming argument values in the
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traceback. As a result, the two test functions using ``smtp_connection`` run
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as quick as a single one because they reuse the same instance.
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If you decide that you rather want to have a session-scoped ``smtp_connection``
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instance, you can simply declare it:
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.. code-block:: python
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@pytest.fixture(scope="session")
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def smtp_connection():
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# the returned fixture value will be shared for
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# all tests needing it
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...
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Finally, the ``class`` scope will invoke the fixture once per test *class*.
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.. note::
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Pytest will only cache one instance of a fixture at a time.
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This means that when using a parametrized fixture, pytest may invoke a fixture more than once in the given scope.
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``package`` scope (experimental)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. versionadded:: 3.7
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In pytest 3.7 the ``package`` scope has been introduced. Package-scoped fixtures
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are finalized when the last test of a *package* finishes.
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.. warning::
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This functionality is considered **experimental** and may be removed in future
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versions if hidden corner-cases or serious problems with this functionality
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are discovered after it gets more usage in the wild.
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Use this new feature sparingly and please make sure to report any issues you find.
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Higher-scoped fixtures are instantiated first
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---------------------------------------------
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.. versionadded:: 3.5
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Within a function request for features, fixture of higher-scopes (such as ``session``) are instantiated first than
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lower-scoped fixtures (such as ``function`` or ``class``). The relative order of fixtures of same scope follows
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the declared order in the test function and honours dependencies between fixtures.
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Consider the code below:
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.. code-block:: python
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@pytest.fixture(scope="session")
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def s1():
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pass
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@pytest.fixture(scope="module")
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def m1():
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pass
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@pytest.fixture
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def f1(tmpdir):
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pass
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@pytest.fixture
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def f2():
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pass
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def test_foo(f1, m1, f2, s1):
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...
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The fixtures requested by ``test_foo`` will be instantiated in the following order:
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1. ``s1``: is the highest-scoped fixture (``session``).
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2. ``m1``: is the second highest-scoped fixture (``module``).
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3. ``tmpdir``: is a ``function``-scoped fixture, required by ``f1``: it needs to be instantiated at this point
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because it is a dependency of ``f1``.
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4. ``f1``: is the first ``function``-scoped fixture in ``test_foo`` parameter list.
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5. ``f2``: is the last ``function``-scoped fixture in ``test_foo`` parameter list.
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.. _`finalization`:
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Fixture finalization / executing teardown code
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-------------------------------------------------------------
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pytest supports execution of fixture specific finalization code
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when the fixture goes out of scope. By using a ``yield`` statement instead of ``return``, all
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the code after the *yield* statement serves as the teardown code:
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.. code-block:: python
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# content of conftest.py
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import smtplib
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import pytest
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@pytest.fixture(scope="module")
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def smtp_connection():
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smtp_connection = smtplib.SMTP("smtp.gmail.com", 587, timeout=5)
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yield smtp_connection # provide the fixture value
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print("teardown smtp")
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smtp_connection.close()
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The ``print`` and ``smtp.close()`` statements will execute when the last test in
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the module has finished execution, regardless of the exception status of the
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tests.
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Let's execute it::
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$ pytest -s -q --tb=no
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FFteardown smtp
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2 failed in 0.12 seconds
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We see that the ``smtp_connection`` instance is finalized after the two
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tests finished execution. Note that if we decorated our fixture
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function with ``scope='function'`` then fixture setup and cleanup would
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occur around each single test. In either case the test
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module itself does not need to change or know about these details
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of fixture setup.
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Note that we can also seamlessly use the ``yield`` syntax with ``with`` statements:
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.. code-block:: python
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# content of test_yield2.py
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import smtplib
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import pytest
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@pytest.fixture(scope="module")
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def smtp_connection():
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with smtplib.SMTP("smtp.gmail.com", 587, timeout=5) as smtp_connection:
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yield smtp_connection # provide the fixture value
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The ``smtp_connection`` connection will be closed after the test finished
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execution because the ``smtp_connection`` object automatically closes when
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the ``with`` statement ends.
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Note that if an exception happens during the *setup* code (before the ``yield`` keyword), the
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*teardown* code (after the ``yield``) will not be called.
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An alternative option for executing *teardown* code is to
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make use of the ``addfinalizer`` method of the `request-context`_ object to register
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finalization functions.
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Here's the ``smtp_connection`` fixture changed to use ``addfinalizer`` for cleanup:
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.. code-block:: python
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# content of conftest.py
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import smtplib
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import pytest
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@pytest.fixture(scope="module")
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def smtp_connection(request):
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smtp_connection = smtplib.SMTP("smtp.gmail.com", 587, timeout=5)
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def fin():
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print("teardown smtp_connection")
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smtp_connection.close()
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request.addfinalizer(fin)
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return smtp_connection # provide the fixture value
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Both ``yield`` and ``addfinalizer`` methods work similarly by calling their code after the test
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ends, but ``addfinalizer`` has two key differences over ``yield``:
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1. It is possible to register multiple finalizer functions.
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2. Finalizers will always be called regardless if the fixture *setup* code raises an exception.
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This is handy to properly close all resources created by a fixture even if one of them
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fails to be created/acquired::
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@pytest.fixture
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def equipments(request):
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r = []
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for port in ('C1', 'C3', 'C28'):
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equip = connect(port)
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request.addfinalizer(equip.disconnect)
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r.append(equip)
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return r
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In the example above, if ``"C28"`` fails with an exception, ``"C1"`` and ``"C3"`` will still
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be properly closed. Of course, if an exception happens before the finalize function is
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registered then it will not be executed.
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.. _`request-context`:
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Fixtures can introspect the requesting test context
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-------------------------------------------------------------
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Fixture functions can accept the :py:class:`request <FixtureRequest>` object
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to introspect the "requesting" test function, class or module context.
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Further extending the previous ``smtp_connection`` fixture example, let's
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read an optional server URL from the test module which uses our fixture::
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# content of conftest.py
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import pytest
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import smtplib
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@pytest.fixture(scope="module")
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def smtp_connection(request):
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server = getattr(request.module, "smtpserver", "smtp.gmail.com")
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smtp_connection = smtplib.SMTP(server, 587, timeout=5)
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yield smtp_connection
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print("finalizing %s (%s)" % (smtp_connection, server))
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smtp_connection.close()
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We use the ``request.module`` attribute to optionally obtain an
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``smtpserver`` attribute from the test module. If we just execute
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again, nothing much has changed::
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$ pytest -s -q --tb=no
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FFfinalizing <smtplib.SMTP object at 0xdeadbeef> (smtp.gmail.com)
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2 failed in 0.12 seconds
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Let's quickly create another test module that actually sets the
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server URL in its module namespace::
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# content of test_anothersmtp.py
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smtpserver = "mail.python.org" # will be read by smtp fixture
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def test_showhelo(smtp_connection):
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assert 0, smtp_connection.helo()
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Running it:
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.. code-block:: pytest
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$ pytest -qq --tb=short test_anothersmtp.py
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F [100%]
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================================= FAILURES =================================
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______________________________ test_showhelo _______________________________
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test_anothersmtp.py:5: in test_showhelo
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assert 0, smtp_connection.helo()
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E AssertionError: (250, b'mail.python.org')
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E assert 0
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------------------------- Captured stdout teardown -------------------------
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finalizing <smtplib.SMTP object at 0xdeadbeef> (mail.python.org)
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voila! The ``smtp_connection`` fixture function picked up our mail server name
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from the module namespace.
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.. _`fixture-factory`:
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Factories as fixtures
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-------------------------------------------------------------
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The "factory as fixture" pattern can help in situations where the result
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of a fixture is needed multiple times in a single test. Instead of returning
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data directly, the fixture instead returns a function which generates the data.
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This function can then be called multiple times in the test.
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Factories can have have parameters as needed::
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|
|
@pytest.fixture
|
|
def make_customer_record():
|
|
|
|
def _make_customer_record(name):
|
|
return {
|
|
"name": name,
|
|
"orders": []
|
|
}
|
|
|
|
return _make_customer_record
|
|
|
|
|
|
def test_customer_records(make_customer_record):
|
|
customer_1 = make_customer_record("Lisa")
|
|
customer_2 = make_customer_record("Mike")
|
|
customer_3 = make_customer_record("Meredith")
|
|
|
|
If the data created by the factory requires managing, the fixture can take care of that::
|
|
|
|
@pytest.fixture
|
|
def make_customer_record():
|
|
|
|
created_records = []
|
|
|
|
def _make_customer_record(name):
|
|
record = models.Customer(name=name, orders=[])
|
|
created_records.append(record)
|
|
return record
|
|
|
|
yield _make_customer_record
|
|
|
|
for record in created_records:
|
|
record.destroy()
|
|
|
|
|
|
def test_customer_records(make_customer_record):
|
|
customer_1 = make_customer_record("Lisa")
|
|
customer_2 = make_customer_record("Mike")
|
|
customer_3 = make_customer_record("Meredith")
|
|
|
|
|
|
.. _`fixture-parametrize`:
|
|
|
|
Parametrizing fixtures
|
|
-----------------------------------------------------------------
|
|
|
|
Fixture functions can be parametrized in which case they will be called
|
|
multiple times, each time executing the set of dependent tests, i. e. the
|
|
tests that depend on this fixture. Test functions usually do not need
|
|
to be aware of their re-running. Fixture parametrization helps to
|
|
write exhaustive functional tests for components which themselves can be
|
|
configured in multiple ways.
|
|
|
|
Extending the previous example, we can flag the fixture to create two
|
|
``smtp_connection`` fixture instances which will cause all tests using the fixture
|
|
to run twice. The fixture function gets access to each parameter
|
|
through the special :py:class:`request <FixtureRequest>` object::
|
|
|
|
# content of conftest.py
|
|
import pytest
|
|
import smtplib
|
|
|
|
@pytest.fixture(scope="module",
|
|
params=["smtp.gmail.com", "mail.python.org"])
|
|
def smtp_connection(request):
|
|
smtp_connection = smtplib.SMTP(request.param, 587, timeout=5)
|
|
yield smtp_connection
|
|
print("finalizing %s" % smtp_connection)
|
|
smtp_connection.close()
|
|
|
|
The main change is the declaration of ``params`` with
|
|
:py:func:`@pytest.fixture <_pytest.python.fixture>`, a list of values
|
|
for each of which the fixture function will execute and can access
|
|
a value via ``request.param``. No test function code needs to change.
|
|
So let's just do another run:
|
|
|
|
.. code-block:: pytest
|
|
|
|
$ pytest -q test_module.py
|
|
FFFF [100%]
|
|
================================= FAILURES =================================
|
|
________________________ test_ehlo[smtp.gmail.com] _________________________
|
|
|
|
smtp_connection = <smtplib.SMTP object at 0xdeadbeef>
|
|
|
|
def test_ehlo(smtp_connection):
|
|
response, msg = smtp_connection.ehlo()
|
|
assert response == 250
|
|
assert b"smtp.gmail.com" in msg
|
|
> assert 0 # for demo purposes
|
|
E assert 0
|
|
|
|
test_module.py:6: AssertionError
|
|
________________________ test_noop[smtp.gmail.com] _________________________
|
|
|
|
smtp_connection = <smtplib.SMTP object at 0xdeadbeef>
|
|
|
|
def test_noop(smtp_connection):
|
|
response, msg = smtp_connection.noop()
|
|
assert response == 250
|
|
> assert 0 # for demo purposes
|
|
E assert 0
|
|
|
|
test_module.py:11: AssertionError
|
|
________________________ test_ehlo[mail.python.org] ________________________
|
|
|
|
smtp_connection = <smtplib.SMTP object at 0xdeadbeef>
|
|
|
|
def test_ehlo(smtp_connection):
|
|
response, msg = smtp_connection.ehlo()
|
|
assert response == 250
|
|
> assert b"smtp.gmail.com" in msg
|
|
E AssertionError: assert b'smtp.gmail.com' in b'mail.python.org\nPIPELINING\nSIZE 51200000\nETRN\nSTARTTLS\nAUTH DIGEST-MD5 NTLM CRAM-MD5\nENHANCEDSTATUSCODES\n8BITMIME\nDSN\nSMTPUTF8\nCHUNKING'
|
|
|
|
test_module.py:5: AssertionError
|
|
-------------------------- Captured stdout setup ---------------------------
|
|
finalizing <smtplib.SMTP object at 0xdeadbeef>
|
|
________________________ test_noop[mail.python.org] ________________________
|
|
|
|
smtp_connection = <smtplib.SMTP object at 0xdeadbeef>
|
|
|
|
def test_noop(smtp_connection):
|
|
response, msg = smtp_connection.noop()
|
|
assert response == 250
|
|
> assert 0 # for demo purposes
|
|
E assert 0
|
|
|
|
test_module.py:11: AssertionError
|
|
------------------------- Captured stdout teardown -------------------------
|
|
finalizing <smtplib.SMTP object at 0xdeadbeef>
|
|
4 failed in 0.12 seconds
|
|
|
|
We see that our two test functions each ran twice, against the different
|
|
``smtp_connection`` instances. Note also, that with the ``mail.python.org``
|
|
connection the second test fails in ``test_ehlo`` because a
|
|
different server string is expected than what arrived.
|
|
|
|
pytest will build a string that is the test ID for each fixture value
|
|
in a parametrized fixture, e.g. ``test_ehlo[smtp.gmail.com]`` and
|
|
``test_ehlo[mail.python.org]`` in the above examples. These IDs can
|
|
be used with ``-k`` to select specific cases to run, and they will
|
|
also identify the specific case when one is failing. Running pytest
|
|
with ``--collect-only`` will show the generated IDs.
|
|
|
|
Numbers, strings, booleans and None will have their usual string
|
|
representation used in the test ID. For other objects, pytest will
|
|
make a string based on the argument name. It is possible to customise
|
|
the string used in a test ID for a certain fixture value by using the
|
|
``ids`` keyword argument::
|
|
|
|
# content of test_ids.py
|
|
import pytest
|
|
|
|
@pytest.fixture(params=[0, 1], ids=["spam", "ham"])
|
|
def a(request):
|
|
return request.param
|
|
|
|
def test_a(a):
|
|
pass
|
|
|
|
def idfn(fixture_value):
|
|
if fixture_value == 0:
|
|
return "eggs"
|
|
else:
|
|
return None
|
|
|
|
@pytest.fixture(params=[0, 1], ids=idfn)
|
|
def b(request):
|
|
return request.param
|
|
|
|
def test_b(b):
|
|
pass
|
|
|
|
The above shows how ``ids`` can be either a list of strings to use or
|
|
a function which will be called with the fixture value and then
|
|
has to return a string to use. In the latter case if the function
|
|
return ``None`` then pytest's auto-generated ID will be used.
|
|
|
|
Running the above tests results in the following test IDs being used:
|
|
|
|
.. code-block:: pytest
|
|
|
|
$ pytest --collect-only
|
|
=========================== test session starts ============================
|
|
platform linux -- Python 3.x.y, pytest-4.x.y, py-1.x.y, pluggy-0.x.y
|
|
hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('$REGENDOC_TMPDIR/.hypothesis/examples')
|
|
rootdir: $REGENDOC_TMPDIR, inifile:
|
|
plugins: hypothesis-3.x.y
|
|
collected 10 items
|
|
<Module test_anothersmtp.py>
|
|
<Function test_showhelo[smtp.gmail.com]>
|
|
<Function test_showhelo[mail.python.org]>
|
|
<Module test_ids.py>
|
|
<Function test_a[spam]>
|
|
<Function test_a[ham]>
|
|
<Function test_b[eggs]>
|
|
<Function test_b[1]>
|
|
<Module test_module.py>
|
|
<Function test_ehlo[smtp.gmail.com]>
|
|
<Function test_noop[smtp.gmail.com]>
|
|
<Function test_ehlo[mail.python.org]>
|
|
<Function test_noop[mail.python.org]>
|
|
|
|
======================= no tests ran in 0.12 seconds =======================
|
|
|
|
.. _`fixture-parametrize-marks`:
|
|
|
|
Using marks with parametrized fixtures
|
|
--------------------------------------
|
|
|
|
:func:`pytest.param` can be used to apply marks in values sets of parametrized fixtures in the same way
|
|
that they can be used with :ref:`@pytest.mark.parametrize <@pytest.mark.parametrize>`.
|
|
|
|
Example::
|
|
|
|
# content of test_fixture_marks.py
|
|
import pytest
|
|
@pytest.fixture(params=[0, 1, pytest.param(2, marks=pytest.mark.skip)])
|
|
def data_set(request):
|
|
return request.param
|
|
|
|
def test_data(data_set):
|
|
pass
|
|
|
|
Running this test will *skip* the invocation of ``data_set`` with value ``2``:
|
|
|
|
.. code-block:: pytest
|
|
|
|
$ pytest test_fixture_marks.py -v
|
|
=========================== test session starts ============================
|
|
platform linux -- Python 3.x.y, pytest-4.x.y, py-1.x.y, pluggy-0.x.y -- $PYTHON_PREFIX/bin/python3.6
|
|
cachedir: .pytest_cache
|
|
hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('$REGENDOC_TMPDIR/.hypothesis/examples')
|
|
rootdir: $REGENDOC_TMPDIR, inifile:
|
|
plugins: hypothesis-3.x.y
|
|
collecting ... collected 3 items
|
|
|
|
test_fixture_marks.py::test_data[0] PASSED [ 33%]
|
|
test_fixture_marks.py::test_data[1] PASSED [ 66%]
|
|
test_fixture_marks.py::test_data[2] SKIPPED [100%]
|
|
|
|
=================== 2 passed, 1 skipped in 0.12 seconds ====================
|
|
|
|
.. _`interdependent fixtures`:
|
|
|
|
Modularity: using fixtures from a fixture function
|
|
----------------------------------------------------------
|
|
|
|
You can not only use fixtures in test functions but fixture functions
|
|
can use other fixtures themselves. This contributes to a modular design
|
|
of your fixtures and allows re-use of framework-specific fixtures across
|
|
many projects. As a simple example, we can extend the previous example
|
|
and instantiate an object ``app`` where we stick the already defined
|
|
``smtp_connection`` resource into it::
|
|
|
|
# content of test_appsetup.py
|
|
|
|
import pytest
|
|
|
|
class App(object):
|
|
def __init__(self, smtp_connection):
|
|
self.smtp_connection = smtp_connection
|
|
|
|
@pytest.fixture(scope="module")
|
|
def app(smtp_connection):
|
|
return App(smtp_connection)
|
|
|
|
def test_smtp_connection_exists(app):
|
|
assert app.smtp_connection
|
|
|
|
Here we declare an ``app`` fixture which receives the previously defined
|
|
``smtp_connection`` fixture and instantiates an ``App`` object with it. Let's run it:
|
|
|
|
.. code-block:: pytest
|
|
|
|
$ pytest -v test_appsetup.py
|
|
=========================== test session starts ============================
|
|
platform linux -- Python 3.x.y, pytest-4.x.y, py-1.x.y, pluggy-0.x.y -- $PYTHON_PREFIX/bin/python3.6
|
|
cachedir: .pytest_cache
|
|
hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('$REGENDOC_TMPDIR/.hypothesis/examples')
|
|
rootdir: $REGENDOC_TMPDIR, inifile:
|
|
plugins: hypothesis-3.x.y
|
|
collecting ... collected 2 items
|
|
|
|
test_appsetup.py::test_smtp_connection_exists[smtp.gmail.com] PASSED [ 50%]
|
|
test_appsetup.py::test_smtp_connection_exists[mail.python.org] PASSED [100%]
|
|
|
|
========================= 2 passed in 0.12 seconds =========================
|
|
|
|
Due to the parametrization of ``smtp_connection``, the test will run twice with two
|
|
different ``App`` instances and respective smtp servers. There is no
|
|
need for the ``app`` fixture to be aware of the ``smtp_connection``
|
|
parametrization because pytest will fully analyse the fixture dependency graph.
|
|
|
|
Note that the ``app`` fixture has a scope of ``module`` and uses a
|
|
module-scoped ``smtp_connection`` fixture. The example would still work if
|
|
``smtp_connection`` was cached on a ``session`` scope: it is fine for fixtures to use
|
|
"broader" scoped fixtures but not the other way round:
|
|
A session-scoped fixture could not use a module-scoped one in a
|
|
meaningful way.
|
|
|
|
|
|
.. _`automatic per-resource grouping`:
|
|
|
|
Automatic grouping of tests by fixture instances
|
|
----------------------------------------------------------
|
|
|
|
.. regendoc: wipe
|
|
|
|
pytest minimizes the number of active fixtures during test runs.
|
|
If you have a parametrized fixture, then all the tests using it will
|
|
first execute with one instance and then finalizers are called
|
|
before the next fixture instance is created. Among other things,
|
|
this eases testing of applications which create and use global state.
|
|
|
|
The following example uses two parametrized fixtures, one of which is
|
|
scoped on a per-module basis, and all the functions perform ``print`` calls
|
|
to show the setup/teardown flow::
|
|
|
|
# content of test_module.py
|
|
import pytest
|
|
|
|
@pytest.fixture(scope="module", params=["mod1", "mod2"])
|
|
def modarg(request):
|
|
param = request.param
|
|
print(" SETUP modarg %s" % param)
|
|
yield param
|
|
print(" TEARDOWN modarg %s" % param)
|
|
|
|
@pytest.fixture(scope="function", params=[1,2])
|
|
def otherarg(request):
|
|
param = request.param
|
|
print(" SETUP otherarg %s" % param)
|
|
yield param
|
|
print(" TEARDOWN otherarg %s" % param)
|
|
|
|
def test_0(otherarg):
|
|
print(" RUN test0 with otherarg %s" % otherarg)
|
|
def test_1(modarg):
|
|
print(" RUN test1 with modarg %s" % modarg)
|
|
def test_2(otherarg, modarg):
|
|
print(" RUN test2 with otherarg %s and modarg %s" % (otherarg, modarg))
|
|
|
|
|
|
Let's run the tests in verbose mode and with looking at the print-output:
|
|
|
|
.. code-block:: pytest
|
|
|
|
$ pytest -v -s test_module.py
|
|
=========================== test session starts ============================
|
|
platform linux -- Python 3.x.y, pytest-4.x.y, py-1.x.y, pluggy-0.x.y -- $PYTHON_PREFIX/bin/python3.6
|
|
cachedir: .pytest_cache
|
|
hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('$REGENDOC_TMPDIR/.hypothesis/examples')
|
|
rootdir: $REGENDOC_TMPDIR, inifile:
|
|
plugins: hypothesis-3.x.y
|
|
collecting ... collected 8 items
|
|
|
|
test_module.py::test_0[1] SETUP otherarg 1
|
|
RUN test0 with otherarg 1
|
|
PASSED TEARDOWN otherarg 1
|
|
|
|
test_module.py::test_0[2] SETUP otherarg 2
|
|
RUN test0 with otherarg 2
|
|
PASSED TEARDOWN otherarg 2
|
|
|
|
test_module.py::test_1[mod1] SETUP modarg mod1
|
|
RUN test1 with modarg mod1
|
|
PASSED
|
|
test_module.py::test_2[mod1-1] SETUP otherarg 1
|
|
RUN test2 with otherarg 1 and modarg mod1
|
|
PASSED TEARDOWN otherarg 1
|
|
|
|
test_module.py::test_2[mod1-2] SETUP otherarg 2
|
|
RUN test2 with otherarg 2 and modarg mod1
|
|
PASSED TEARDOWN otherarg 2
|
|
|
|
test_module.py::test_1[mod2] TEARDOWN modarg mod1
|
|
SETUP modarg mod2
|
|
RUN test1 with modarg mod2
|
|
PASSED
|
|
test_module.py::test_2[mod2-1] SETUP otherarg 1
|
|
RUN test2 with otherarg 1 and modarg mod2
|
|
PASSED TEARDOWN otherarg 1
|
|
|
|
test_module.py::test_2[mod2-2] SETUP otherarg 2
|
|
RUN test2 with otherarg 2 and modarg mod2
|
|
PASSED TEARDOWN otherarg 2
|
|
TEARDOWN modarg mod2
|
|
|
|
|
|
========================= 8 passed in 0.12 seconds =========================
|
|
|
|
You can see that the parametrized module-scoped ``modarg`` resource caused an
|
|
ordering of test execution that lead to the fewest possible "active" resources.
|
|
The finalizer for the ``mod1`` parametrized resource was executed before the
|
|
``mod2`` resource was setup.
|
|
|
|
In particular notice that test_0 is completely independent and finishes first.
|
|
Then test_1 is executed with ``mod1``, then test_2 with ``mod1``, then test_1
|
|
with ``mod2`` and finally test_2 with ``mod2``.
|
|
|
|
The ``otherarg`` parametrized resource (having function scope) was set up before
|
|
and teared down after every test that used it.
|
|
|
|
|
|
.. _`usefixtures`:
|
|
|
|
Using fixtures from classes, modules or projects
|
|
----------------------------------------------------------------------
|
|
|
|
.. regendoc:wipe
|
|
|
|
Sometimes test functions do not directly need access to a fixture object.
|
|
For example, tests may require to operate with an empty directory as the
|
|
current working directory but otherwise do not care for the concrete
|
|
directory. Here is how you can use the standard `tempfile
|
|
<http://docs.python.org/library/tempfile.html>`_ and pytest fixtures to
|
|
achieve it. We separate the creation of the fixture into a conftest.py
|
|
file::
|
|
|
|
# content of conftest.py
|
|
|
|
import pytest
|
|
import tempfile
|
|
import os
|
|
|
|
@pytest.fixture()
|
|
def cleandir():
|
|
newpath = tempfile.mkdtemp()
|
|
os.chdir(newpath)
|
|
|
|
and declare its use in a test module via a ``usefixtures`` marker::
|
|
|
|
# content of test_setenv.py
|
|
import os
|
|
import pytest
|
|
|
|
@pytest.mark.usefixtures("cleandir")
|
|
class TestDirectoryInit(object):
|
|
def test_cwd_starts_empty(self):
|
|
assert os.listdir(os.getcwd()) == []
|
|
with open("myfile", "w") as f:
|
|
f.write("hello")
|
|
|
|
def test_cwd_again_starts_empty(self):
|
|
assert os.listdir(os.getcwd()) == []
|
|
|
|
Due to the ``usefixtures`` marker, the ``cleandir`` fixture
|
|
will be required for the execution of each test method, just as if
|
|
you specified a "cleandir" function argument to each of them. Let's run it
|
|
to verify our fixture is activated and the tests pass:
|
|
|
|
.. code-block:: pytest
|
|
|
|
$ pytest -q
|
|
.. [100%]
|
|
2 passed in 0.12 seconds
|
|
|
|
You can specify multiple fixtures like this:
|
|
|
|
.. code-block:: python
|
|
|
|
@pytest.mark.usefixtures("cleandir", "anotherfixture")
|
|
def test():
|
|
...
|
|
|
|
and you may specify fixture usage at the test module level, using
|
|
a generic feature of the mark mechanism:
|
|
|
|
.. code-block:: python
|
|
|
|
pytestmark = pytest.mark.usefixtures("cleandir")
|
|
|
|
Note that the assigned variable *must* be called ``pytestmark``, assigning e.g.
|
|
``foomark`` will not activate the fixtures.
|
|
|
|
It is also possible to put fixtures required by all tests in your project
|
|
into an ini-file:
|
|
|
|
.. code-block:: ini
|
|
|
|
# content of pytest.ini
|
|
[pytest]
|
|
usefixtures = cleandir
|
|
|
|
|
|
.. warning::
|
|
|
|
Note this mark has no effect in **fixture functions**. For example,
|
|
this **will not work as expected**:
|
|
|
|
.. code-block:: python
|
|
|
|
@pytest.mark.usefixtures("my_other_fixture")
|
|
@pytest.fixture
|
|
def my_fixture_that_sadly_wont_use_my_other_fixture():
|
|
...
|
|
|
|
Currently this will not generate any error or warning, but this is intended
|
|
to be handled by `#3664 <https://github.com/pytest-dev/pytest/issues/3664>`_.
|
|
|
|
|
|
.. _`autouse`:
|
|
.. _`autouse fixtures`:
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Autouse fixtures (xUnit setup on steroids)
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----------------------------------------------------------------------
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.. regendoc:wipe
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Occasionally, you may want to have fixtures get invoked automatically
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without declaring a function argument explicitly or a `usefixtures`_ decorator.
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As a practical example, suppose we have a database fixture which has a
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begin/rollback/commit architecture and we want to automatically surround
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each test method by a transaction and a rollback. Here is a dummy
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self-contained implementation of this idea::
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# content of test_db_transact.py
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import pytest
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class DB(object):
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def __init__(self):
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self.intransaction = []
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def begin(self, name):
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self.intransaction.append(name)
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def rollback(self):
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self.intransaction.pop()
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@pytest.fixture(scope="module")
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def db():
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return DB()
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class TestClass(object):
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@pytest.fixture(autouse=True)
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def transact(self, request, db):
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db.begin(request.function.__name__)
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yield
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db.rollback()
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def test_method1(self, db):
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assert db.intransaction == ["test_method1"]
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def test_method2(self, db):
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assert db.intransaction == ["test_method2"]
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The class-level ``transact`` fixture is marked with *autouse=true*
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which implies that all test methods in the class will use this fixture
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without a need to state it in the test function signature or with a
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class-level ``usefixtures`` decorator.
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If we run it, we get two passing tests:
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.. code-block:: pytest
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$ pytest -q
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.. [100%]
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2 passed in 0.12 seconds
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Here is how autouse fixtures work in other scopes:
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- autouse fixtures obey the ``scope=`` keyword-argument: if an autouse fixture
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has ``scope='session'`` it will only be run once, no matter where it is
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defined. ``scope='class'`` means it will be run once per class, etc.
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- if an autouse fixture is defined in a test module, all its test
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functions automatically use it.
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- if an autouse fixture is defined in a conftest.py file then all tests in
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all test modules below its directory will invoke the fixture.
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- lastly, and **please use that with care**: if you define an autouse
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fixture in a plugin, it will be invoked for all tests in all projects
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where the plugin is installed. This can be useful if a fixture only
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anyway works in the presence of certain settings e. g. in the ini-file. Such
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a global fixture should always quickly determine if it should do
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any work and avoid otherwise expensive imports or computation.
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Note that the above ``transact`` fixture may very well be a fixture that
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you want to make available in your project without having it generally
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active. The canonical way to do that is to put the transact definition
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into a conftest.py file **without** using ``autouse``::
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# content of conftest.py
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@pytest.fixture
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def transact(request, db):
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db.begin()
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yield
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db.rollback()
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and then e.g. have a TestClass using it by declaring the need::
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@pytest.mark.usefixtures("transact")
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class TestClass(object):
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def test_method1(self):
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...
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All test methods in this TestClass will use the transaction fixture while
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other test classes or functions in the module will not use it unless
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they also add a ``transact`` reference.
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Overriding fixtures on various levels
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-------------------------------------
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In relatively large test suite, you most likely need to ``override`` a ``global`` or ``root`` fixture with a ``locally``
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defined one, keeping the test code readable and maintainable.
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Override a fixture on a folder (conftest) level
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Given the tests file structure is:
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::
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tests/
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__init__.py
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conftest.py
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# content of tests/conftest.py
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import pytest
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@pytest.fixture
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def username():
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return 'username'
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test_something.py
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# content of tests/test_something.py
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def test_username(username):
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assert username == 'username'
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subfolder/
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__init__.py
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conftest.py
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# content of tests/subfolder/conftest.py
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import pytest
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@pytest.fixture
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def username(username):
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return 'overridden-' + username
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test_something.py
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# content of tests/subfolder/test_something.py
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def test_username(username):
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assert username == 'overridden-username'
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As you can see, a fixture with the same name can be overridden for certain test folder level.
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Note that the ``base`` or ``super`` fixture can be accessed from the ``overriding``
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fixture easily - used in the example above.
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Override a fixture on a test module level
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Given the tests file structure is:
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::
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tests/
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__init__.py
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conftest.py
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# content of tests/conftest.py
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@pytest.fixture
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def username():
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return 'username'
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test_something.py
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# content of tests/test_something.py
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import pytest
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@pytest.fixture
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def username(username):
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return 'overridden-' + username
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def test_username(username):
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assert username == 'overridden-username'
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test_something_else.py
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# content of tests/test_something_else.py
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import pytest
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@pytest.fixture
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def username(username):
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return 'overridden-else-' + username
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def test_username(username):
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assert username == 'overridden-else-username'
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In the example above, a fixture with the same name can be overridden for certain test module.
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Override a fixture with direct test parametrization
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Given the tests file structure is:
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::
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tests/
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__init__.py
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conftest.py
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# content of tests/conftest.py
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import pytest
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@pytest.fixture
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def username():
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return 'username'
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@pytest.fixture
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def other_username(username):
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return 'other-' + username
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test_something.py
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# content of tests/test_something.py
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import pytest
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@pytest.mark.parametrize('username', ['directly-overridden-username'])
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def test_username(username):
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assert username == 'directly-overridden-username'
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@pytest.mark.parametrize('username', ['directly-overridden-username-other'])
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def test_username_other(other_username):
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assert other_username == 'other-directly-overridden-username-other'
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In the example above, a fixture value is overridden by the test parameter value. Note that the value of the fixture
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can be overridden this way even if the test doesn't use it directly (doesn't mention it in the function prototype).
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Override a parametrized fixture with non-parametrized one and vice versa
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Given the tests file structure is:
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::
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tests/
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__init__.py
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conftest.py
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# content of tests/conftest.py
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import pytest
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@pytest.fixture(params=['one', 'two', 'three'])
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def parametrized_username(request):
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return request.param
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@pytest.fixture
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def non_parametrized_username(request):
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return 'username'
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test_something.py
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# content of tests/test_something.py
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import pytest
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@pytest.fixture
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def parametrized_username():
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return 'overridden-username'
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@pytest.fixture(params=['one', 'two', 'three'])
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def non_parametrized_username(request):
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return request.param
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def test_username(parametrized_username):
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assert parametrized_username == 'overridden-username'
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def test_parametrized_username(non_parametrized_username):
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assert non_parametrized_username in ['one', 'two', 'three']
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test_something_else.py
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# content of tests/test_something_else.py
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def test_username(parametrized_username):
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assert parametrized_username in ['one', 'two', 'three']
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def test_username(non_parametrized_username):
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assert non_parametrized_username == 'username'
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In the example above, a parametrized fixture is overridden with a non-parametrized version, and
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a non-parametrized fixture is overridden with a parametrized version for certain test module.
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The same applies for the test folder level obviously.
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