generic mechanism for marking python functions.

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.

Marking classes or modules

To mark all methods of a class set a pytestmark attribute like this:

import py

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

You can re-use the same markers that you would use for decorating a function - in fact this marker decorator will be applied to all test methods of the class.

You can also set a module level marker:

import py
pytestmark = py.test.mark.webtest

in which case then the marker decorator will be applied to all functions and methods defined in the module.

The order in which marker functions are called is this:

per-function (upon import of module already)
per-class
per-module

Later called markers may overwrite previous key-value settings. Positional arguments are all appended to the same 'args' list of the Marker object.

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.