133 lines
3.6 KiB
Plaintext
133 lines
3.6 KiB
Plaintext
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.. _mark:
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mark test functions with attributes
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=================================================================
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.. currentmodule:: _pytest.mark
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By using the ``pytest.mark`` helper you can instantiate
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decorators that will set named meta data on test functions.
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Marking a single function
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----------------------------------------------------
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You can "mark" a test function with meta data like this::
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import pytest
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@pytest.mark.webtest
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def test_send_http():
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...
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This will set the function attribute ``webtest`` to a :py:class:`MarkInfo`
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instance. You can also specify parametrized meta data like this::
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# content of test_mark.py
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import pytest
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@pytest.mark.webtest(firefox=30)
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def test_receive():
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pass
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@pytest.mark.webtest("functional", firefox=30)
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def test_run_and_look():
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pass
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and access it from other places like this::
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test_receive.webtest.kwargs['firefox'] == 30
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test_run_and_look.webtest.args[0] == "functional"
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.. _`scoped-marking`:
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Marking whole classes or modules
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----------------------------------------------------
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If you are programming with Python2.6 you may use ``pytest.mark`` decorators
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with classes to apply markers to all its test methods::
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# content of test_mark_classlevel.py
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import pytest
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@pytest.mark.webtest
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class TestClass:
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def test_startup(self):
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pass
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def test_startup_and_more(self):
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pass
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This is equivalent to directly applying the decorator to the
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two test functions.
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To remain compatible with Python2.5 you can also set a
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``pytestmark`` attribute on a TestClass like this::
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import pytest
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class TestClass:
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pytestmark = pytest.mark.webtest
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or if you need to use multiple markers you can use a list::
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import pytest
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class TestClass:
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pytestmark = [pytest.mark.webtest, pytest.mark.slowtest]
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You can also set a module level marker::
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import pytest
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pytestmark = pytest.mark.webtest
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in which case it will be applied to all functions and
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methods defined in the module.
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Using ``-k TEXT`` to select tests
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----------------------------------------------------
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You can use the ``-k`` command line option to select tests::
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$ py.test -k webtest # running with the above defined examples yields
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=========================== test session starts ============================
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platform linux2 -- Python 2.6.6 -- pytest-2.0.1
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collecting ... collected 4 items
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test_mark.py ..
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test_mark_classlevel.py ..
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========================= 4 passed in 0.02 seconds =========================
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And you can also run all tests except the ones that match the keyword::
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$ py.test -k-webtest
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=========================== test session starts ============================
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platform linux2 -- Python 2.6.6 -- pytest-2.0.1
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collecting ... collected 4 items
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===================== 4 tests deselected by '-webtest' =====================
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======================= 4 deselected in 0.01 seconds =======================
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Or to only select the class::
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$ py.test -kTestClass
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=========================== test session starts ============================
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platform linux2 -- Python 2.6.6 -- pytest-2.0.1
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collecting ... collected 4 items
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test_mark_classlevel.py ..
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==================== 2 tests deselected by 'TestClass' =====================
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================== 2 passed, 2 deselected in 0.01 seconds ==================
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API reference for mark related objects
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------------------------------------------------
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.. autoclass:: MarkGenerator
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:members:
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.. autoclass:: MarkDecorator
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:members:
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.. autoclass:: MarkInfo
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:members:
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