592 lines
19 KiB
ReStructuredText
592 lines
19 KiB
ReStructuredText
.. _plugins:
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.. _`writing-plugins`:
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Writing plugins
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===============
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It is easy to implement `local conftest plugins`_ for your own project
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or `pip-installable plugins`_ that can be used throughout many projects,
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including third party projects. Please refer to :ref:`using plugins` if you
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only want to use but not write plugins.
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A plugin contains one or multiple hook functions. :ref:`Writing hooks <writinghooks>`
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explains the basics and details of how you can write a hook function yourself.
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``pytest`` implements all aspects of configuration, collection, running and
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reporting by calling `well specified hooks`_ of the following plugins:
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* :ref:`builtin plugins`: loaded from pytest's internal ``_pytest`` directory.
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* :ref:`external plugins <extplugins>`: modules discovered through
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`setuptools entry points`_
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* `conftest.py plugins`_: modules auto-discovered in test directories
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In principle, each hook call is a ``1:N`` Python function call where ``N`` is the
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number of registered implementation functions for a given specification.
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All specifications and implementations follow the ``pytest_`` prefix
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naming convention, making them easy to distinguish and find.
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.. _`pluginorder`:
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Plugin discovery order at tool startup
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--------------------------------------
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``pytest`` loads plugin modules at tool startup in the following way:
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* by loading all builtin plugins
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* by loading all plugins registered through `setuptools entry points`_.
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* by pre-scanning the command line for the ``-p name`` option
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and loading the specified plugin before actual command line parsing.
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* by loading all :file:`conftest.py` files as inferred by the command line
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invocation:
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- if no test paths are specified use current dir as a test path
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- if exists, load ``conftest.py`` and ``test*/conftest.py`` relative
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to the directory part of the first test path.
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Note that pytest does not find ``conftest.py`` files in deeper nested
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sub directories at tool startup. It is usually a good idea to keep
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your conftest.py file in the top level test or project root directory.
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* by recursively loading all plugins specified by the
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``pytest_plugins`` variable in ``conftest.py`` files
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.. _`pytest/plugin`: http://bitbucket.org/pytest-dev/pytest/src/tip/pytest/plugin/
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.. _`conftest.py plugins`:
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.. _`conftest.py`:
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.. _`localplugin`:
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.. _`conftest`:
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.. _`local conftest plugins`:
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conftest.py: local per-directory plugins
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----------------------------------------
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Local ``conftest.py`` plugins contain directory-specific hook
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implementations. Hook Session and test running activities will
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invoke all hooks defined in ``conftest.py`` files closer to the
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root of the filesystem. Example of implementing the
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``pytest_runtest_setup`` hook so that is called for tests in the ``a``
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sub directory but not for other directories::
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a/conftest.py:
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def pytest_runtest_setup(item):
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# called for running each test in 'a' directory
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print ("setting up", item)
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a/test_sub.py:
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def test_sub():
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pass
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test_flat.py:
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def test_flat():
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pass
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Here is how you might run it::
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pytest test_flat.py # will not show "setting up"
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pytest a/test_sub.py # will show "setting up"
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.. Note::
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If you have ``conftest.py`` files which do not reside in a
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python package directory (i.e. one containing an ``__init__.py``) then
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"import conftest" can be ambiguous because there might be other
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``conftest.py`` files as well on your PYTHONPATH or ``sys.path``.
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It is thus good practice for projects to either put ``conftest.py``
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under a package scope or to never import anything from a
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conftest.py file.
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Writing your own plugin
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-----------------------
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.. _`setuptools`: http://pypi.python.org/pypi/setuptools
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If you want to write a plugin, there are many real-life examples
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you can copy from:
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* a custom collection example plugin: :ref:`yaml plugin`
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* around 20 :ref:`builtin plugins` which provide pytest's own functionality
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* many `external plugins <http://plugincompat.herokuapp.com>`_ providing additional features
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All of these plugins implement the documented `well specified hooks`_
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to extend and add functionality.
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.. note::
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Make sure to check out the excellent
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`cookiecutter-pytest-plugin <https://github.com/pytest-dev/cookiecutter-pytest-plugin>`_
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project, which is a `cookiecutter template <https://github.com/audreyr/cookiecutter>`_
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for authoring plugins.
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The template provides an excellent starting point with a working plugin,
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tests running with tox, comprehensive README and
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entry-pointy already pre-configured.
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Also consider :ref:`contributing your plugin to pytest-dev<submitplugin>`
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once it has some happy users other than yourself.
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.. _`setuptools entry points`:
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.. _`pip-installable plugins`:
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Making your plugin installable by others
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----------------------------------------
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If you want to make your plugin externally available, you
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may define a so-called entry point for your distribution so
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that ``pytest`` finds your plugin module. Entry points are
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a feature that is provided by `setuptools`_. pytest looks up
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the ``pytest11`` entrypoint to discover its
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plugins and you can thus make your plugin available by defining
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it in your setuptools-invocation:
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.. sourcecode:: python
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# sample ./setup.py file
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from setuptools import setup
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setup(
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name="myproject",
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packages = ['myproject']
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# the following makes a plugin available to pytest
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entry_points = {
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'pytest11': [
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'name_of_plugin = myproject.pluginmodule',
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]
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},
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# custom PyPI classifier for pytest plugins
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classifiers=[
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"Framework :: Pytest",
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],
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)
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If a package is installed this way, ``pytest`` will load
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``myproject.pluginmodule`` as a plugin which can define
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`well specified hooks`_.
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.. note::
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Make sure to include ``Framework :: Pytest`` in your list of
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`PyPI classifiers <https://python-packaging-user-guide.readthedocs.io/en/latest/distributing/#classifiers>`_
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to make it easy for users to find your plugin.
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Requiring/Loading plugins in a test module or conftest file
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-----------------------------------------------------------
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You can require plugins in a test module or a conftest file like this::
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pytest_plugins = "name1", "name2",
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When the test module or conftest plugin is loaded the specified plugins
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will be loaded as well. You can also use dotted path like this::
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pytest_plugins = "myapp.testsupport.myplugin"
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which will import the specified module as a ``pytest`` plugin.
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Accessing another plugin by name
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--------------------------------
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If a plugin wants to collaborate with code from
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another plugin it can obtain a reference through
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the plugin manager like this:
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.. sourcecode:: python
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plugin = config.pluginmanager.getplugin("name_of_plugin")
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If you want to look at the names of existing plugins, use
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the ``--trace-config`` option.
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Testing plugins
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---------------
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pytest comes with some facilities that you can enable for testing your
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plugin. Given that you have an installed plugin you can enable the
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:py:class:`testdir <_pytest.pytester.Testdir>` fixture via specifying a
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command line option to include the pytester plugin (``-p pytester``) or
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by putting ``pytest_plugins = "pytester"`` into your test or
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``conftest.py`` file. You then will have a ``testdir`` fixture which you
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can use like this::
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# content of test_myplugin.py
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pytest_plugins = "pytester" # to get testdir fixture
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def test_myplugin(testdir):
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testdir.makepyfile("""
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def test_example():
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pass
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""")
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result = testdir.runpytest("--verbose")
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result.fnmatch_lines("""
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test_example*
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""")
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Note that by default ``testdir.runpytest()`` will perform a pytest
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in-process. You can pass the command line option ``--runpytest=subprocess``
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to have it happen in a subprocess.
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Also see the :py:class:`RunResult <_pytest.pytester.RunResult>` for more
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methods of the result object that you get from a call to ``runpytest``.
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.. _`writinghooks`:
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Writing hook functions
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======================
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.. _validation:
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hook function validation and execution
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--------------------------------------
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pytest calls hook functions from registered plugins for any
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given hook specification. Let's look at a typical hook function
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for the ``pytest_collection_modifyitems(session, config,
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items)`` hook which pytest calls after collection of all test items is
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completed.
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When we implement a ``pytest_collection_modifyitems`` function in our plugin
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pytest will during registration verify that you use argument
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names which match the specification and bail out if not.
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Let's look at a possible implementation:
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.. code-block:: python
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def pytest_collection_modifyitems(config, items):
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# called after collection is completed
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# you can modify the ``items`` list
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Here, ``pytest`` will pass in ``config`` (the pytest config object)
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and ``items`` (the list of collected test items) but will not pass
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in the ``session`` argument because we didn't list it in the function
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signature. This dynamic "pruning" of arguments allows ``pytest`` to
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be "future-compatible": we can introduce new hook named parameters without
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breaking the signatures of existing hook implementations. It is one of
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the reasons for the general long-lived compatibility of pytest plugins.
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Note that hook functions other than ``pytest_runtest_*`` are not
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allowed to raise exceptions. Doing so will break the pytest run.
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firstresult: stop at first non-None result
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-------------------------------------------
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Most calls to ``pytest`` hooks result in a **list of results** which contains
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all non-None results of the called hook functions.
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Some hook specifications use the ``firstresult=True`` option so that the hook
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call only executes until the first of N registered functions returns a
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non-None result which is then taken as result of the overall hook call.
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The remaining hook functions will not be called in this case.
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hookwrapper: executing around other hooks
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-------------------------------------------------
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.. currentmodule:: _pytest.core
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.. versionadded:: 2.7
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pytest plugins can implement hook wrappers which wrap the execution
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of other hook implementations. A hook wrapper is a generator function
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which yields exactly once. When pytest invokes hooks it first executes
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hook wrappers and passes the same arguments as to the regular hooks.
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At the yield point of the hook wrapper pytest will execute the next hook
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implementations and return their result to the yield point in the form of
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a :py:class:`CallOutcome` instance which encapsulates a result or
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exception info. The yield point itself will thus typically not raise
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exceptions (unless there are bugs).
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Here is an example definition of a hook wrapper::
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import pytest
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@pytest.hookimpl(hookwrapper=True)
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def pytest_pyfunc_call(pyfuncitem):
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# do whatever you want before the next hook executes
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outcome = yield
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# outcome.excinfo may be None or a (cls, val, tb) tuple
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res = outcome.get_result() # will raise if outcome was exception
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# postprocess result
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Note that hook wrappers don't return results themselves, they merely
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perform tracing or other side effects around the actual hook implementations.
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If the result of the underlying hook is a mutable object, they may modify
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that result but it's probably better to avoid it.
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Hook function ordering / call example
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-------------------------------------
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For any given hook specification there may be more than one
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implementation and we thus generally view ``hook`` execution as a
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``1:N`` function call where ``N`` is the number of registered functions.
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There are ways to influence if a hook implementation comes before or
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after others, i.e. the position in the ``N``-sized list of functions:
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.. code-block:: python
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# Plugin 1
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@pytest.hookimpl(tryfirst=True)
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def pytest_collection_modifyitems(items):
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# will execute as early as possible
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# Plugin 2
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@pytest.hookimpl(trylast=True)
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def pytest_collection_modifyitems(items):
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# will execute as late as possible
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# Plugin 3
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@pytest.hookimpl(hookwrapper=True)
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def pytest_collection_modifyitems(items):
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# will execute even before the tryfirst one above!
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outcome = yield
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# will execute after all non-hookwrappers executed
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Here is the order of execution:
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1. Plugin3's pytest_collection_modifyitems called until the yield point
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because it is a hook wrapper.
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2. Plugin1's pytest_collection_modifyitems is called because it is marked
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with ``tryfirst=True``.
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3. Plugin2's pytest_collection_modifyitems is called because it is marked
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with ``trylast=True`` (but even without this mark it would come after
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Plugin1).
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4. Plugin3's pytest_collection_modifyitems then executing the code after the yield
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point. The yield receives a :py:class:`CallOutcome` instance which encapsulates
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the result from calling the non-wrappers. Wrappers shall not modify the result.
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It's possible to use ``tryfirst`` and ``trylast`` also in conjunction with
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``hookwrapper=True`` in which case it will influence the ordering of hookwrappers
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among each other.
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Declaring new hooks
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------------------------
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.. currentmodule:: _pytest.hookspec
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Plugins and ``conftest.py`` files may declare new hooks that can then be
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implemented by other plugins in order to alter behaviour or interact with
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the new plugin:
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.. autofunction:: pytest_addhooks
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Hooks are usually declared as do-nothing functions that contain only
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documentation describing when the hook will be called and what return values
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are expected.
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For an example, see `newhooks.py`_ from :ref:`xdist`.
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.. _`newhooks.py`: https://github.com/pytest-dev/pytest-xdist/blob/974bd566c599dc6a9ea291838c6f226197208b46/xdist/newhooks.py
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Optionally using hooks from 3rd party plugins
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---------------------------------------------
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Using new hooks from plugins as explained above might be a little tricky
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because of the standard :ref:`validation mechanism <validation>`:
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if you depend on a plugin that is not installed, validation will fail and
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the error message will not make much sense to your users.
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One approach is to defer the hook implementation to a new plugin instead of
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declaring the hook functions directly in your plugin module, for example::
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# contents of myplugin.py
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class DeferPlugin(object):
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"""Simple plugin to defer pytest-xdist hook functions."""
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def pytest_testnodedown(self, node, error):
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"""standard xdist hook function.
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"""
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def pytest_configure(config):
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if config.pluginmanager.hasplugin('xdist'):
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config.pluginmanager.register(DeferPlugin())
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This has the added benefit of allowing you to conditionally install hooks
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depending on which plugins are installed.
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.. _`well specified hooks`:
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.. currentmodule:: _pytest.hookspec
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pytest hook reference
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=====================
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Initialization, command line and configuration hooks
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----------------------------------------------------
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.. autofunction:: pytest_load_initial_conftests
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.. autofunction:: pytest_cmdline_preparse
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.. autofunction:: pytest_cmdline_parse
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.. autofunction:: pytest_namespace
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.. autofunction:: pytest_addoption
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.. autofunction:: pytest_cmdline_main
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.. autofunction:: pytest_configure
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.. autofunction:: pytest_unconfigure
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Generic "runtest" hooks
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-----------------------
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All runtest related hooks receive a :py:class:`pytest.Item` object.
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.. autofunction:: pytest_runtest_protocol
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.. autofunction:: pytest_runtest_setup
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.. autofunction:: pytest_runtest_call
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.. autofunction:: pytest_runtest_teardown
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.. autofunction:: pytest_runtest_makereport
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For deeper understanding you may look at the default implementation of
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these hooks in :py:mod:`_pytest.runner` and maybe also
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in :py:mod:`_pytest.pdb` which interacts with :py:mod:`_pytest.capture`
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and its input/output capturing in order to immediately drop
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into interactive debugging when a test failure occurs.
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The :py:mod:`_pytest.terminal` reported specifically uses
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the reporting hook to print information about a test run.
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Collection hooks
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----------------
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``pytest`` calls the following hooks for collecting files and directories:
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.. autofunction:: pytest_ignore_collect
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.. autofunction:: pytest_collect_directory
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.. autofunction:: pytest_collect_file
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For influencing the collection of objects in Python modules
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you can use the following hook:
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.. autofunction:: pytest_pycollect_makeitem
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.. autofunction:: pytest_generate_tests
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.. autofunction:: pytest_make_parametrize_id
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After collection is complete, you can modify the order of
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items, delete or otherwise amend the test items:
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.. autofunction:: pytest_collection_modifyitems
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Reporting hooks
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---------------
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Session related reporting hooks:
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.. autofunction:: pytest_collectstart
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.. autofunction:: pytest_itemcollected
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.. autofunction:: pytest_collectreport
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.. autofunction:: pytest_deselected
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.. autofunction:: pytest_report_header
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.. autofunction:: pytest_report_teststatus
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.. autofunction:: pytest_terminal_summary
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.. autofunction:: pytest_fixture_setup
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.. autofunction:: pytest_fixture_post_finalizer
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And here is the central hook for reporting about
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test execution:
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.. autofunction:: pytest_runtest_logreport
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You can also use this hook to customize assertion representation for some
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types:
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.. autofunction:: pytest_assertrepr_compare
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Debugging/Interaction hooks
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---------------------------
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There are few hooks which can be used for special
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reporting or interaction with exceptions:
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.. autofunction:: pytest_internalerror
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.. autofunction:: pytest_keyboard_interrupt
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.. autofunction:: pytest_exception_interact
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.. autofunction:: pytest_enter_pdb
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Reference of objects involved in hooks
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======================================
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.. autoclass:: _pytest.config.Config()
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:members:
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.. autoclass:: _pytest.config.Parser()
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:members:
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.. autoclass:: _pytest.main.Node()
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:members:
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.. autoclass:: _pytest.main.Collector()
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:members:
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:show-inheritance:
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.. autoclass:: _pytest.main.Item()
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:members:
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:show-inheritance:
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.. autoclass:: _pytest.python.Module()
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:members:
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:show-inheritance:
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.. autoclass:: _pytest.python.Class()
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:members:
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:show-inheritance:
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.. autoclass:: _pytest.python.Function()
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:members:
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:show-inheritance:
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.. autoclass:: _pytest.python.FixtureDef()
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:members:
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:show-inheritance:
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.. autoclass:: _pytest.runner.CallInfo()
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:members:
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.. autoclass:: _pytest.runner.TestReport()
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:members:
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.. autoclass:: _pytest.vendored_packages.pluggy._CallOutcome()
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:members:
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.. autofunction:: _pytest.config.get_plugin_manager()
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.. autoclass:: _pytest.config.PytestPluginManager()
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:members:
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:undoc-members:
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:show-inheritance:
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.. autoclass:: pluggy.PluginManager()
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:members:
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.. currentmodule:: _pytest.pytester
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.. autoclass:: Testdir()
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:members: runpytest,runpytest_subprocess,runpytest_inprocess,makeconftest,makepyfile
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.. autoclass:: RunResult()
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:members:
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.. autoclass:: LineMatcher()
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:members:
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