test_ok1/doc/test/plugin/mark.txt

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