98 lines
2.4 KiB
Plaintext
98 lines
2.4 KiB
Plaintext
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generic mechanism for marking python functions.
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===============================================
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.. contents::
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:local:
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By using the ``py.test.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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@py.test.mark.webtest
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def test_send_http():
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...
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This will set a "Marker" instance as a function attribute named "webtest".
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You can also specify parametrized meta data like this::
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@py.test.mark.webtest(firefox=30)
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def test_receive():
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...
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The named marker can be accessed like this later::
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test_receive.webtest.kwargs['firefox'] == 30
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In addition to set key-value pairs you can also use positional arguments::
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@py.test.mark.webtest("triangular")
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def test_receive():
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...
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and later access it with ``test_receive.webtest.args[0] == 'triangular``.
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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 ``py.test.mark`` decorators
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with classes to apply markers to all its test methods::
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@py.test.mark.webtest
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class TestClass:
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def test_startup(self):
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...
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This is equivalent to directly applying the decorator to the
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``test_startup`` function.
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To remain compatible with Python2.5 you can instead set a
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``pytestmark`` attribute on a TestClass like this::
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import py
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class TestClass:
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pytestmark = py.test.mark.webtest
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or if you need to use multiple markers::
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import py
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class TestClass:
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pytestmark = [py.test.mark.webtest, pytest.mark.slowtest]
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You can also set a module level marker::
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import py
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pytestmark = py.test.mark.webtest
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in which case then it will be applied to all functions and
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methods defined in the module.
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Using "-k MARKNAME" to select tests
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----------------------------------------------------
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You can use the ``-k`` command line option to select
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tests::
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py.test -k webtest # will only run tests marked as webtest
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Start improving this plugin in 30 seconds
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=========================================
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1. Download `pytest_mark.py`_ plugin source code
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2. put it somewhere as ``pytest_mark.py`` into your import path
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3. a subsequent ``py.test`` run will use your local version
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Checkout customize_, other plugins_ or `get in contact`_.
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.. include:: links.txt
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