test_ok1/doc/mark.txt

.. _mark:

mark test functions with attributes
=================================================================

.. currentmodule:: _pytest.mark

By using the ``py.test.mark`` helper you can instantiate
decorators that will set named meta data on test functions.

Marking a single function
----------------------------------------------------

You can "mark" a test function with meta data like this::

    import py
    @py.test.mark.webtest
    def test_send_http():
        ...

This will set the function attribute ``webtest`` to a :py:class:`MarkInfo` 
instance.  You can also specify parametrized meta data like this::

    # content of test_mark.py

    import py
    @py.test.mark.webtest(firefox=30)
    def test_receive():
        pass

    @py.test.mark.webtest("functional", firefox=30)
    def test_run_and_look():
        pass

and access it from other places like this::

    test_receive.webtest.kwargs['firefox'] == 30
    test_run_and_look.webtest.args[0] == "functional"

.. _`scoped-marking`:

Marking whole classes or modules
----------------------------------------------------

If you are programming with Python2.6 you may use ``py.test.mark`` decorators
with classes to apply markers to all its test methods::

    # content of test_mark_classlevel.py
    import py
    @py.test.mark.webtest
    class TestClass:
        def test_startup(self):
            pass
        def test_startup_and_more(self):
            pass

This is equivalent to directly applying the decorator to the
two test functions.

To remain compatible with Python2.5 you can also set a
``pytestmark`` attribute on a TestClass like this::

    import py

    class TestClass:
        pytestmark = py.test.mark.webtest

or if you need to use multiple markers you can use a list::

    import py

    class TestClass:
        pytestmark = [py.test.mark.webtest, pytest.mark.slowtest]

You can also set a module level marker::

    import py
    pytestmark = py.test.mark.webtest

in which case it will be applied to all functions and
methods defined in the module.

Using ``-k TEXT`` to select tests
----------------------------------------------------

You can use the ``-k`` command line option to select tests::

    $ py.test -k webtest  # running with the above defined examples yields
    =========================== test session starts ============================
    platform linux2 -- Python 2.6.5 -- pytest-2.0.0.dev22
    test path 1: /tmp/doc-exec-527
    
    test_mark.py ..
    test_mark_classlevel.py ..
    
    ========================= 4 passed in 0.02 seconds =========================

And you can also run all tests except the ones that match the keyword::

    $ py.test -k-webtest
    =========================== test session starts ============================
    platform linux2 -- Python 2.6.5 -- pytest-2.0.0.dev22
    test path 1: /tmp/doc-exec-527
    
    ===================== 4 tests deselected by '-webtest' =====================
    ======================= 4 deselected in 0.01 seconds =======================

Or to only select the class::

    $ py.test -kTestClass
    =========================== test session starts ============================
    platform linux2 -- Python 2.6.5 -- pytest-2.0.0.dev22
    test path 1: /tmp/doc-exec-527
    
    test_mark_classlevel.py ..
    
    ==================== 2 tests deselected by 'TestClass' =====================
    ================== 2 passed, 2 deselected in 0.01 seconds ==================

API reference for mark related objects
------------------------------------------------

.. autoclass:: MarkGenerator
    :members:

.. autoclass:: MarkDecorator
    :members:

.. autoclass:: MarkInfo
    :members: