major refinements to documentation and examples

--HG--
branch : trunk
This commit is contained in:
holger krekel 2010-10-13 19:30:00 +02:00
parent 9925ac883e
commit 2e4391d28e
22 changed files with 538 additions and 308 deletions

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@ -13,8 +13,6 @@ py.test reference documentation
skipping.txt
mark.txt
recwarn.txt
reporting.txt
debugging.txt
doctest.txt
unittest.txt

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.. _`setuptools installation`: http://pypi.python.org/pypi/setuptools
Basic usage
==================
We assume you have done an :ref:`install` like this::
easy_install -U pytest # or
pip install -U pytest
Ensure that this installed the ``py.test`` script::
py.test --version
Writing a first test
------------------------------
Let's create a small file with the following content::
# content of test_sample.py
def func(x):
return x + 1
def test_answer():
assert func(3) == 5
That's it. Now you can already execute the test function::
$ py.test test_sample.py
=========================== test session starts ============================
platform linux2 -- Python 2.6.5 -- pytest-2.0.0dev0
test path 1: test_sample.py
test_sample.py F
================================= FAILURES =================================
_______________________________ test_answer ________________________________
def test_answer():
> assert func(3) == 5
E assert 4 == 5
E + where 4 = func(3)
test_sample.py:4: AssertionError
========================= 1 failed in 0.02 seconds =========================
We got a failure because our little ``func(3)`` call did not return ``5``.
A few notes on this little test invocation:
* ``test_answer`` was identified as a test function because of the
``test_`` prefix,
* we conveniently used the standard `assert statement`_ and the failure
report shows us the intermediate values.
.. _`assert statement`: http://docs.python.org/reference/simple_stmts.html#the-assert-statement

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Using the interactive command line
===============================================
Getting help on version, option names, environment vars
-----------------------------------------------------------
::
py.test --version # shows where pytest was imported from
py.test --funcargs # show available builtin function arguments
py.test --help-config # show configuration values
py.test -h | --help # show help
Stopping after the first (or N) failures
---------------------------------------------------
To stop the testing process after the first (N) failures::
py.test -x # stop after first failure
py.test -maxfail=2 # stop after two failures
Modifying Python traceback printing
----------------------------------------------
Examples for modifying traceback printing::
py.test --showlocals # show local variables in tracebacks
py.test -l # show local variables (shortcut)
py.test --tb=long # the default informative traceback formatting
py.test --tb=native # the Python standard library formatting
py.test --tb=short # a shorter traceback format
py.test --tb=line # only one line per failure
Dropping to PDB (Python Debugger) on failures
----------------------------------------------
.. _PDB: http://docs.python.org/library/pdb.html
Python comes with a builtin Python debugger called PDB_. ``py.test``
allows to drop into the PDB prompt via a command line option::
py.test --pdb
This will invoke the Python debugger on every failure. Often you might
only want to do this for the first failing test to understand a certain
failure situation::
py.test -x --pdb # drop to PDB on first failure, then end test session
py.test --pdb --maxfail=3 # drop to PDB for the first three failures
Setting a breakpoint / aka ``set_trace()``
----------------------------------------------------
If you want to set a breakpoint and enter the ``pdb.set_trace()`` you
can use a helper::
def test_function():
...
py.test.set_trace() # invoke PDB debugger and tracing
.. versionadded: 2.0.0
In previous versions you could only enter PDB tracing if
you :ref:`disable capturing`.
creating JUnitXML format files
----------------------------------------------------
To create result files which can be read by Hudson_ or other Continous
integration servers, use this invocation::
py.test --junitxml=path
to create an XML file at ``path``.
creating resultlog format files
----------------------------------------------------
To create plain-text machine-readable result files you can issue::
py.test --resultlog=path
and look at the content at the ``path`` location. Such files are used e.g.
by the `PyPy-test`_ web page to show test results over several revisions.
.. _`PyPy-test`: http://codespeak.net:8099/summary
send test report to pocoo pastebin service
-----------------------------------------------------
**Creating a URL for each test failure**::
py.test --pastebin=failed
This will submit test run information to a remote Paste service and
provide a URL for each failure. You may select tests as usual or add
for example ``-x`` if you only want to send one particular failure.
**Creating a URL for a whole test session log**::
py.test --pastebin=all
Currently only pasting to the http://paste.pocoo.org service is implemented.
.. include:: links.inc

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@ -64,7 +64,7 @@ release = '2.0.0dev0'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
exclude_patterns = ['_build', 'example', 'test', 'announce'] # XXX
exclude_patterns = ['_build', 'test', 'announce'] # XXX
# The reST default role (used for this markup: `text`) to use for all documents.
#default_role = None

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@ -1,59 +0,0 @@
debugging Python failures
=================================================================
Stopping after the first (or N) failures
----------------------------------------------------
To stop the testing process after the first (N) failures::
py.test -x # stop after first failure
py.test -maxfail=2 # stop after two failures
Modifying traceback printing
----------------------------------------------------
Examples for modifying traceback printing::
py.test --showlocals # show local variables in tracebacks
py.test -l # show local variables (shortcut)
py.test --tb=long # the default informative traceback formatting
py.test --tb=native # the Python standard library formatting
py.test --tb=short # a shorter traceback format
py.test --tb=line # only one line per failure
Dropping to PDB (Python Debugger) on failures
----------------------------------------------------
.. _PDB: http://docs.python.org/library/pdb.html
Python comes with a builtin Python debugger called PDB_. ``py.test``
allows to drop into the PDB prompt via a command line option::
py.test --pdb
This will invoke the Python debugger on every failure. Often you might
only want to do this for the first failing test to understand a certain
failure situation::
py.test -x --pdb # drop to PDB on first failure, then end test session
py.test --pdb --maxfail=3 # drop to PDB for the first three failures
Setting a breakpoint / aka ``set_trace()``
----------------------------------------------------
If you want to set a breakpoint and enter the ``pdb.set_trace()`` you
can use a helper::
def test_function():
...
py.test.set_trace() # invoke PDB debugger and tracing
.. versionadded: 2.0.0
In previous versions you could only enter PDB tracing if
you :ref:`disable capturing`.

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@ -6,7 +6,6 @@ Feedback and contribute to py.test
:maxdepth: 2
contact.txt
faq.txt
.. _checkout:

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@ -1,14 +0,0 @@
Using the command line
===============================================
Example command line usages::
py.test --version # shows where pytest was imported from
py.test --funcargs # show available builtin function arguments
py.test --help-config # show configuration values
py.test -h | --help # show help
which tells you both version and import location of the tool.

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Customizing test function through marks and hooks
====================================================
.. _`retrieved by hooks as item keywords`:
control skipping of tests according to command line option
--------------------------------------------------------------
Here is a ``conftest.py`` file adding a ``--runslow`` command
line option to control skipping of ``slow`` marked tests::
# content of conftest.py
import py
def pytest_addoption(parser):
parser.addoption("--runslow", action="store_true",
help="run slow tests")
def pytest_runtest_setup(item):
if 'slow' in item.keywords and not item.config.getvalue("runslow"):
py.test.skip("need --runslow option to run")
We can now write a test module like this::
# content of test_module.py
import py
slow = py.test.mark.slow
def test_func_fast():
pass
@slow
def test_func_slow():
pass
and when running it will see a skipped "slow" test::
$ py.test test_module.py -rs # "-rs" means report on the little 's'
=========================== test session starts ============================
platform linux2 -- Python 2.6.5 -- pytest-2.0.0dev0
test path 1: test_module.py
test_module.py .s
========================= short test summary info ==========================
SKIP [1] /tmp/doc-exec-12/conftest.py:9: 'need --runslow option to run'
=================== 1 passed, 1 skipped in 0.02 seconds ====================
Or run it including the ``slow`` marked test::
$ py.test test_module.py --runslow
=========================== test session starts ============================
platform linux2 -- Python 2.6.5 -- pytest-2.0.0dev0
test path 1: test_module.py
test_module.py ..
========================= 2 passed in 0.01 seconds =========================

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.. highlightlang:: python
mysetup pattern: application specific test fixtures
==========================================================
Here is a basic useful step-by-step example for managing and interacting
with application specific test setup. The goal is to have one place
where we have the glue and test support code for bootstrapping and
configuring application objects and allow test modules and test
functions to stay ignorant of involved details.
step1: implementing the test/app-specific ``mysetup`` pattern
-------------------------------------------------------------
Let's write a simple test function using a ``mysetup`` funcarg::
# content of test_sample.py
def test_answer(mysetup):
app = mysetup.myapp()
answer = app.question()
assert answer == 42
To run this test py.test needs to find and call a factory to
obtain the required ``mysetup`` function argument. To make
an according factory findable we write down a specifically named factory
method in a :ref:`local plugin`::
# content of conftest.py
from myapp import MyApp
def pytest_funcarg__mysetup(request): # "mysetup" factory function
return MySetup()
class MySetup: # instances of this are seen by test functions
def myapp(self):
return MyApp()
To run the example we stub out a a simple ``MyApp`` application object::
# content of myapp.py
class MyApp:
def question(self):
return 6 * 9
You can now run the test::
$ py.test test_sample.py
=========================== test session starts ============================
platform linux2 -- Python 2.6.5 -- pytest-2.0.0dev0
test path 1: test_sample.py
test_sample.py F
================================= FAILURES =================================
_______________________________ test_answer ________________________________
mysetup = <conftest.MySetup instance at 0x1a09f38>
def test_answer(mysetup):
app = mysetup.myapp()
answer = app.question()
> assert answer == 42
E assert 54 == 42
test_sample.py:4: AssertionError
========================= 1 failed in 0.02 seconds =========================
This means that our ``mysetup`` object was successfully instantiated
and ``mysetup.app()`` returned an initialized ``MyApp`` instance.
We can ask it about the question and if you are confused as to what
the concrete question or answers actually mean, please see here_.
.. _here: http://uncyclopedia.wikia.com/wiki/The_Hitchhiker's_Guide_to_the_Galaxy
.. _`tut-cmdlineoption`:
step 2: checking a command line option and skipping tests
-----------------------------------------------------------
To add a command line option we update the ``conftest.py`` of
the previous example to add a command line option
and to offer a new mysetup method::
# content of ./conftest.py
import py
from myapp import MyApp
def pytest_funcarg__mysetup(request): # "mysetup" factory function
return MySetup(request)
def pytest_addoption(parser):
parser.addoption("--ssh", action="store", default=None,
help="specify ssh host to run tests with")
class MySetup:
def __init__(self, request):
self.config = request.config
def myapp(self):
return MyApp()
def getsshconnection(self):
host = self.config.option.ssh
if host is None:
py.test.skip("specify ssh host with --ssh")
return execnet.SshGateway(host)
Now any test function can use the ``mysetup.getsshconnection()`` method
like this::
# content of test_ssh.py
class TestClass:
def test_function(self, mysetup):
conn = mysetup.getsshconnection()
# work with conn
Running it yields::
$ py.test test_ssh.py -rs
=========================== test session starts ============================
platform linux2 -- Python 2.6.5 -- pytest-2.0.0dev0
test path 1: test_ssh.py
test_ssh.py s
========================= short test summary info ==========================
SKIP [1] /tmp/doc-exec-9/conftest.py:22: 'specify ssh host with --ssh'
======================== 1 skipped in 0.02 seconds =========================
If you specify a command line option like ``py.test --ssh=python.org`` the test will execute as expected.
Note that neither the ``TestClass`` nor the ``test_function`` need to
know anything about how to setup the test state. It is handled separately
in your "test setup glue" code in the ``conftest.py`` file. It is easy
to extend the ``mysetup`` object for further needs in the test code - and for use by any other test functions in the files and directories below the ``conftest.py`` file.

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@ -1,71 +0,0 @@
.. _`setuptools installation`: http://pypi.python.org/pypi/setuptools
==================
Quickstart
==================
.. _here: ../install.html
If you have the ``easy_install`` tool (otherwise see here_) just type:
easy_install -U py
Now create a file ``test_sample.py`` with the following content:
.. sourcecode:: python
# content of test_sample.py
def func(x):
return x + 1
def test_answer():
assert func(3) == 5
You can now run the test file like this::
py.test test_sample.py
and will see output like this:
.. sourcecode:: python
=========================== test session starts ============================
python: platform linux2 -- Python 2.6.2 -- pytest-1.1.0
test object 1: test_sample.py
test_sample.py F
================================= FAILURES =================================
_______________________________ test_answer ________________________________
def test_answer():
> assert func(3) == 5
E assert 4 == 5
E + where 4 = func(3)
test_sample.py:6: AssertionError
========================= 1 failed in 0.08 seconds =========================
This output contains Python interpreter information, a list of test objects,
a progress report and important details of the failure.
**Where to go from here**
`features`_: overview and description of test features
`plugins`_: a list of available plugins which each contain usage examples
`tutorials`_: some blog entries and starting points with code examples
`contact`_: if you want to feedback or have problems
.. _`contact`: ../contact.html
.. _`automatically collected`: features.html#autocollect
.. _install: ../install.html
.. _plugins: plugin/index.html
.. _features: features.html
.. _tutorials: talks.html

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@ -1,8 +1,9 @@
Examples for writing tests
Usages and Examples
===========================================
.. toctree::
:maxdepth: 2
example/funcarg_simple.txt
example/marking.txt
example/mysetup.txt

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@ -1,6 +1,29 @@
Frequently asked Questions
Frequent Issues and Questions
==================================
.. _`installation issues`:
Installation issues
------------------------------
easy_install or py.test not found on Windows machine
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
- **Windows**: If "easy_install" or "py.test" are not found
please see here for preparing your environment for running
command line tools: `Python for Windows`_. You may alternatively
use an `ActivePython install`_ which makes command line tools
automatically available under Windows.
.. _`ActivePython install`: http://www.activestate.com/activepython/downloads
.. _`Jython does not create command line launchers`: http://bugs.jython.org/issue1491
- **Jython2.5.1 on Windows XP**: `Jython does not create command line launchers`_
so ``py.test`` will not work correctly. You may install py.test on
CPython and type ``py.test --genscript=mytest`` and then use
``jython mytest`` to run py.test for your tests to run in Jython.
On naming, nosetests, licensing and magic XXX
------------------------------------------------

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@ -1,14 +1,14 @@
py.test Features
==================
mature command line testing tool
--------------------------------------
no-boilerplate testing with Python
----------------------------------
- used in many projects, ranging from 10 to 10K tests
- simple well sorted command line options
- runs on Unix, Windows from Python 2.4 up to Python 3.1 and 3.2
- is itself tested extensively on a CI server
- keyword/testname based selection of tests
- automatic customizable Python test discovery
- powerful parametrization of test functions
- use the ``assert`` statement for your assertions
- rely on powerful traceback and assertion reporting
- use ``print`` or ``pdb`` debugging on failures
extensive plugin and customization system
------------------------------------------------------
@ -20,6 +20,16 @@ extensive plugin and customization system
- it is `suprisingly easy`_ to add command line options or
do other kind of add-ons and customizations.
mature command line testing tool
--------------------------------------
- used in many projects, ranging from 10 to 10K tests
- autodiscovery of tests
- simple well sorted command line options
- runs on Unix, Windows from Python 2.4 up to Python 3.1 and 3.2
- is itself tested extensively on a CI server
- keyword/testname based selection of tests
integrates well with CI systems
----------------------------------------
@ -29,14 +39,6 @@ integrates well with CI systems
.. _`tox`: http://codespeak.net/tox
no-boilerplate testing with Python
----------------------------------
- automatic customizable Python test discovery
- powerful parametrization of test functions
- use the ``assert`` statement for your assertions
- rely on powerful traceback and assertion reporting
- use ``print`` or ``pdb`` debugging on failures
supports several testing practises and methods
-----------------------------------------------------------

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@ -1,5 +1,5 @@
==============================================================
funcargs: creating and managing test function arguments
creating and managing test function arguments
==============================================================
.. currentmodule:: pytest.plugin.python

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@ -0,0 +1,43 @@
Good Practises
=================================================
Recommendation: install tool and dependencies virtually
-----------------------------------------------------------
We recommend to work with virtual environments
(e.g. virtualenv_ or buildout_ based) and use easy_install_
(or pip_) for installing py.test/pylib and any dependencies
you need to run your tests. Local virtual Python environments
(as opposed to system-wide "global" environments) make for a more
reproducible and reliable test environment.
.. _`virtualenv`: http://pypi.python.org/pypi/virtualenv
.. _`buildout`: http://www.buildout.org/
.. _pip: http://pypi.python.org/pypi/pip
.. _standalone:
Generating a py.test standalone Script
-------------------------------------------
If you are a maintainer or application developer and want users
to run tests you can use a facility to generate a standalone
"py.test" script that you can tell users to run::
py.test --genscript=mytest
will generate a ``mytest`` script that is, in fact, a ``py.test`` under
disguise. You can tell people to download and then e.g. run it like this::
python mytest --pastebin=all
and ask them to send you the resulting URL. The resulting script has
all core features and runs unchanged under Python2 and Python3 interpreters.
.. _`Python for Windows`: http://www.imladris.com/Scripts/PythonForWindows.html
.. _`Distribute for installation`: http://pypi.python.org/pypi/distribute#installation-instructions
.. _`distribute installation`: http://pypi.python.org/pypi/distribute
.. include:: links.inc

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@ -1,14 +1,7 @@
.. pytest documentation master file, created by
sphinx-quickstart on Fri Oct 8 17:54:28 2010.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
py.test: no-boilerplate testing with Python
==============================================
py.test: no-boilerplate rapid testing with Python
======================================================
Welcome to ``py.test`` documentation.
Contents:
Welcome to ``py.test`` documentation:
.. toctree::
:maxdepth: 2
@ -25,7 +18,6 @@ Contents:
changelog.txt
Indices and tables
==================

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@ -13,76 +13,21 @@ installing py.test
Installation using easy_install
----------------------------------------
You need setuptools_ or Distribute_ to be able to simply type::
If you have setuptools_ or Distribute_ type::
easy_install -U pytest
to install the latest release of ``py.test``. The ``-U`` switch
triggers an upgrade if you already have an older version installed.
Note that setuptools works ok with Python2 interpreters while `Distribute`_
additionally works with Python3 and also avoid some issues on Windows.
Note that setuptools works ok with Python2 interpreters while **Distribute
works with Python3 and Python2** and also avoids some issues on Windows.
Known issues:
You should now be able to type::
- **Windows**: If "easy_install" or "py.test" are not found
please see here for preparing your environment for running
command line tools: `Python for Windows`_. You may alternatively
use an `ActivePython install`_ which makes command line tools
automatically available under Windows.
$ py.test --version
.. _`ActivePython install`: http://www.activestate.com/activepython/downloads
.. _`Jython does not create command line launchers`: http://bugs.jython.org/issue1491
- **Jython2.5.1 on Windows XP**: `Jython does not create command line launchers`_
so ``py.test`` will not work correctly. You may install py.test on
CPython and type ``py.test --genscript=mytest`` and then use
``jython mytest`` to run py.test for your tests to run in Jython.
- **On Linux**: If ``easy_install`` fails because it needs to run
as the superuser you are trying to install things globally
and need to put ``sudo`` in front of the command.
.. _quickstart: test/quickstart.html
Recommendation: install tool and dependencies virtually
-----------------------------------------------------------
I recommend to work with virtual environments
(e.g. virtualenv_ or buildout_ based) and use easy_install_
(or pip_) for installing py.test/pylib and any dependencies
you need to run your tests. Local virtual Python environments
(as opposed to system-wide "global" environments) make for a more
reproducible and reliable test environment.
.. _`virtualenv`: http://pypi.python.org/pypi/virtualenv
.. _`buildout`: http://www.buildout.org/
.. _pip: http://pypi.python.org/pypi/pip
.. _standalone:
Generating a py.test standalone Script
-------------------------------------------
If you are a maintainer or application developer and want users
to run tests you can use a facility to generate a standalone
"py.test" script that you can tell users to run::
py.test --genscript=mytest
will generate a ``mytest`` script that is, in fact, a ``py.test`` under
disguise. You can tell people to download and then e.g. run it like this::
python mytest --pastebin=all
and ask them to send you the resulting URL. The resulting script has
all core features and runs unchanged under Python2 and Python3 interpreters.
.. _`Python for Windows`: http://www.imladris.com/Scripts/PythonForWindows.html
.. _`Distribute for installation`: http://pypi.python.org/pypi/distribute#installation-instructions
.. _`distribute installation`: http://pypi.python.org/pypi/distribute
Refer to :ref:`installation issues` if you have issues.
.. include:: links.inc

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@ -1,9 +1,11 @@
.. _mark:
mark (attribute) python functions
mark test functions with attributes
=================================================================
.. currentmodule:: pytest.plugin.mark
By using the ``py.test.mark`` helper you can instantiate
decorators that will set named meta data on test functions.
@ -17,7 +19,7 @@ You can "mark" a test function with meta data like this::
def test_send_http():
...
This will set the function attribute ``webtest`` to a :py:meth:`MarkInfo`
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
@ -79,15 +81,15 @@ You can also set a module level marker::
in which case it will be applied to all functions and
methods defined in the module.
Using "-k MARKNAME" to select tests
Using ``-k TEXT`` 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
$ py.test -k webtest # running with the above defined examples yields
=========================== test session starts ============================
platform linux2 -- Python 2.6.5 -- pytest-2.0.0dev0
test path 1: /tmp/doc-exec-335
test path 1: /tmp/doc-exec-11
test_mark.py ..
test_mark_classlevel.py ..
@ -96,16 +98,35 @@ You can use the ``-k`` command line option to select tests::
And you can also run all tests except the ones that match the keyword::
$ py.test -k-webtest # "-" negates but be careful to have no space before
$ py.test -k-webtest
=========================== test session starts ============================
platform linux2 -- Python 2.6.5 -- pytest-2.0.0dev0
test path 1: /tmp/doc-exec-335
test path 1: /tmp/doc-exec-11
===================== 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-2.0.0dev0
test path 1: /tmp/doc-exec-11
test_mark_classlevel.py ..
==================== 2 tests deselected by 'TestClass' =====================
================== 2 passed, 2 deselected in 0.01 seconds ==================
API reference for mark related objects
------------------------------------------------
.. autoclass:: pytest.plugin.mark.MarkInfo
.. autoclass:: MarkGenerator
:members:
.. autoclass:: MarkDecorator
:members:
.. autoclass:: MarkInfo
:members:

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@ -7,4 +7,8 @@ Overview and Introduction
features.txt
install.txt
basic_usage.txt
cmdline.txt
goodpractises.txt
faq.txt

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@ -1,44 +0,0 @@
XML, pastebin services and other reporting
=================================================================
creating JUnitXML format files
----------------------------------------------------
To create result files which can be read by Hudson_ or other Continous
integration servers, use this invocation::
py.test --junitxml=path
to create an XML file at ``path``.
creating resultlog format files
----------------------------------------------------
To create plain-text machine-readable result files you can issue::
py.test --resultlog=path
and look at the content at the ``path`` location. Such files are used e.g.
by the `PyPy-test`_ web page to show test results over several revisions.
.. _`PyPy-test`: http://codespeak.net:8099/summary
send test report to pocoo pastebin service
-----------------------------------------------------
**Creating a URL for each test failure**::
py.test --pastebin=failed
This will submit test run information to a remote Paste service and
provide a URL for each failure. You may select tests as usual or add
for example ``-x`` if you only want to send one particular failure.
**Creating a URL for a whole test session log**::
py.test --pastebin=all
Currently only pasting to the http://paste.pocoo.org service is implemented.
.. include:: links.inc

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@ -70,16 +70,37 @@ def matchonekeyword(key, chain):
return False
class MarkGenerator:
""" non-underscore attributes of this object can be used as decorators for
marking test functions. Example: @py.test.mark.slowtest in front of a
function will set the 'slowtest' marker object on it. """
""" Factory for :class:`MarkDecorator` objects - exposed as
a ``py.test.mark`` singleton instance. Example::
import py
@py.test.mark.slowtest
def test_function():
pass
will set a 'slowtest' :class:`MarkInfo` object
on the ``test_function`` object. """
def __getattr__(self, name):
if name[0] == "_":
raise AttributeError(name)
return MarkDecorator(name)
class MarkDecorator:
""" decorator for setting function attributes. """
""" A decorator for test functions and test classes. When applied
it will create :class:`MarkInfo` objects which may be
:ref:`retrieved by hooks as item keywords` MarkDecorator instances
are usually created by writing::
mark1 = py.test.mark.NAME # simple MarkDecorator
mark2 = py.test.mark.NAME(name1=value) # parametrized MarkDecorator
and can then be applied as decorators to test functions::
@mark2
def test_function():
pass
"""
def __init__(self, name):
self.markname = name
self.kwargs = {}
@ -121,9 +142,13 @@ class MarkDecorator:
return self
class MarkInfo:
""" Marking object created by :class:`MarkDecorator` instances. """
def __init__(self, name, args, kwargs):
self._name = name
#: name of attribute
self.name = name
#: positional argument list, empty if none specified
self.args = args
#: keyword argument dictionary, empty if nothing specified
self.kwargs = kwargs
def __repr__(self):

View File

@ -560,14 +560,12 @@ class FuncargRequest:
def applymarker(self, marker):
""" apply a marker to a test function invocation.
Usually markers can be used as decorators for test functions or
classes. However, with parametrized testing a single
test function may be called multiple times and ``applymarker``
allows to mark only a single invocation.
:param marker: The ``pytest.mark.*`` object to be applied to the test invocation.
""" apply a marker to a single test function invocation.
This method is useful if you don't want to have a keyword/marker
on all function invocations.
:arg marker: a :py:class:`pytest.plugin.mark.MarkDecorator` object
created by a call to ``py.test.mark.NAME(...)``.
"""
if not isinstance(marker, py.test.mark.XYZ.__class__):
raise ValueError("%r is not a py.test.mark.* object")