663 lines
22 KiB
ReStructuredText
663 lines
22 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 :ref:`well specified hooks <hook-reference>` of the following plugins:
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* 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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.. _`localplugin`:
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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 --capture=no # will not show "setting up"
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pytest a/test_sub.py --capture=no # 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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See also: :ref:`pythonpath`.
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Writing your own plugin
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-----------------------
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.. _`setuptools`: https://pypi.org/project/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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* 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 :ref:`hooks <hook-reference>` and/or :ref:`fixtures <fixture>`
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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, a comprehensive README file as well as a
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pre-configured entry-point.
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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={"pytest11": ["name_of_plugin = myproject.pluginmodule"]},
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# custom PyPI classifier for pytest plugins
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classifiers=["Framework :: Pytest"],
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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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:ref:`hooks <hook-reference>`.
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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/distributing/#classifiers>`_
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to make it easy for users to find your plugin.
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.. _assertion-rewriting:
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Assertion Rewriting
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-------------------
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One of the main features of ``pytest`` is the use of plain assert
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statements and the detailed introspection of expressions upon
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assertion failures. This is provided by "assertion rewriting" which
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modifies the parsed AST before it gets compiled to bytecode. This is
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done via a :pep:`302` import hook which gets installed early on when
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``pytest`` starts up and will perform this rewriting when modules get
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imported. However since we do not want to test different bytecode
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then you will run in production this hook only rewrites test modules
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themselves as well as any modules which are part of plugins. Any
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other imported module will not be rewritten and normal assertion
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behaviour will happen.
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If you have assertion helpers in other modules where you would need
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assertion rewriting to be enabled you need to ask ``pytest``
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explicitly to rewrite this module before it gets imported.
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.. autofunction:: pytest.register_assert_rewrite
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:noindex:
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This is especially important when you write a pytest plugin which is
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created using a package. The import hook only treats ``conftest.py``
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files and any modules which are listed in the ``pytest11`` entrypoint
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as plugins. As an example consider the following package::
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pytest_foo/__init__.py
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pytest_foo/plugin.py
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pytest_foo/helper.py
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With the following typical ``setup.py`` extract:
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.. code-block:: python
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setup(..., entry_points={"pytest11": ["foo = pytest_foo.plugin"]}, ...)
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In this case only ``pytest_foo/plugin.py`` will be rewritten. If the
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helper module also contains assert statements which need to be
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rewritten it needs to be marked as such, before it gets imported.
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This is easiest by marking it for rewriting inside the
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``__init__.py`` module, which will always be imported first when a
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module inside a package is imported. This way ``plugin.py`` can still
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import ``helper.py`` normally. The contents of
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``pytest_foo/__init__.py`` will then need to look like this:
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.. code-block:: python
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import pytest
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pytest.register_assert_rewrite("pytest_foo.helper")
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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.py`` file like this:
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.. code-block:: python
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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. Any module can be blessed as a plugin, including internal
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application modules:
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.. code-block:: python
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pytest_plugins = "myapp.testsupport.myplugin"
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``pytest_plugins`` variables are processed recursively, so note that in the example above
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if ``myapp.testsupport.myplugin`` also declares ``pytest_plugins``, the contents
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of the variable will also be loaded as plugins, and so on.
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.. _`requiring plugins in non-root conftests`:
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.. note::
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Requiring plugins using a ``pytest_plugins`` variable in non-root
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``conftest.py`` files is deprecated.
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This is important because ``conftest.py`` files implement per-directory
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hook implementations, but once a plugin is imported, it will affect the
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entire directory tree. In order to avoid confusion, defining
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``pytest_plugins`` in any ``conftest.py`` file which is not located in the
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tests root directory is deprecated, and will raise a warning.
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This mechanism makes it easy to share fixtures within applications or even
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external applications without the need to create external plugins using
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the ``setuptools``'s entry point technique.
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Plugins imported by ``pytest_plugins`` will also automatically be marked
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for assertion rewriting (see :func:`pytest.register_assert_rewrite`).
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However for this to have any effect the module must not be
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imported already; if it was already imported at the time the
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``pytest_plugins`` statement is processed, a warning will result and
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assertions inside the plugin will not be rewritten. To fix this you
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can either call :func:`pytest.register_assert_rewrite` yourself before
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the module is imported, or you can arrange the code to delay the
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importing until after the plugin is registered.
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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.get_plugin("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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.. _registering-markers:
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Registering custom markers
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--------------------------
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If your plugin uses any markers, you should register them so that they appear in
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pytest's help text and do not :ref:`cause spurious warnings <unknown-marks>`.
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For example, the following plugin would register ``cool_marker`` and
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``mark_with`` for all users:
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.. code-block:: python
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def pytest_configure(config):
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config.addinivalue_line("markers", "cool_marker: this one is for cool tests.")
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config.addinivalue_line(
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"markers", "mark_with(arg, arg2): this marker takes arguments."
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)
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Testing plugins
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---------------
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pytest comes with a plugin named ``pytester`` that helps you write tests for
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your plugin code. The plugin is disabled by default, so you will have to enable
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it before you can use it.
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You can do so by adding the following line to a ``conftest.py`` file in your
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testing directory:
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.. code-block:: python
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# content of conftest.py
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pytest_plugins = ["pytester"]
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Alternatively you can invoke pytest with the ``-p pytester`` command line
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option.
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This will allow you to use the :py:class:`testdir <_pytest.pytester.Testdir>`
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fixture for testing your plugin code.
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Let's demonstrate what you can do with the plugin with an example. Imagine we
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developed a plugin that provides a fixture ``hello`` which yields a function
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and we can invoke this function with one optional parameter. It will return a
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string value of ``Hello World!`` if we do not supply a value or ``Hello
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{value}!`` if we do supply a string value.
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.. code-block:: python
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# -*- coding: utf-8 -*-
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import pytest
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def pytest_addoption(parser):
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group = parser.getgroup("helloworld")
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group.addoption(
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"--name",
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action="store",
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dest="name",
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default="World",
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help='Default "name" for hello().',
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)
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@pytest.fixture
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def hello(request):
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name = request.config.getoption("name")
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def _hello(name=None):
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if not name:
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name = request.config.getoption("name")
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return "Hello {name}!".format(name=name)
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return _hello
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Now the ``testdir`` fixture provides a convenient API for creating temporary
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``conftest.py`` files and test files. It also allows us to run the tests and
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return a result object, with which we can assert the tests' outcomes.
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.. code-block:: python
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def test_hello(testdir):
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"""Make sure that our plugin works."""
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# create a temporary conftest.py file
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testdir.makeconftest(
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"""
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import pytest
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@pytest.fixture(params=[
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"Brianna",
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"Andreas",
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"Floris",
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])
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def name(request):
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return request.param
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"""
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)
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# create a temporary pytest test file
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testdir.makepyfile(
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"""
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def test_hello_default(hello):
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assert hello() == "Hello World!"
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def test_hello_name(hello, name):
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assert hello(name) == "Hello {0}!".format(name)
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"""
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)
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# run all tests with pytest
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result = testdir.runpytest()
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# check that all 4 tests passed
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result.assert_outcomes(passed=4)
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additionally it is possible to copy examples for an example folder before running pytest on it
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.. code-block:: ini
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# content of pytest.ini
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[pytest]
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pytester_example_dir = .
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.. code-block:: python
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# content of test_example.py
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def test_plugin(testdir):
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testdir.copy_example("test_example.py")
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testdir.runpytest("-k", "test_example")
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def test_example():
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pass
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.. code-block:: pytest
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$ pytest
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=========================== test session starts ============================
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platform linux -- Python 3.x.y, pytest-4.x.y, py-1.x.y, pluggy-0.x.y
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cachedir: $PYTHON_PREFIX/.pytest_cache
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rootdir: /home/sweet/project, inifile: pytest.ini
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collected 2 items
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test_example.py .. [100%]
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============================= warnings summary =============================
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test_example.py::test_plugin
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/home/sweet/project/test_example.py:4: PytestExperimentalApiWarning: testdir.copy_example is an experimental api that may change over time
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testdir.copy_example("test_example.py")
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-- Docs: https://docs.pytest.org/en/latest/warnings.html
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=================== 2 passed, 1 warnings in 0.12 seconds ===================
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For more information about the result object that ``runpytest()`` returns, and
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the methods that it provides please check out the :py:class:`RunResult
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<_pytest.pytester.RunResult>` documentation.
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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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...
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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:
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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:`Result <pluggy._Result>` 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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.. code-block:: python
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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_something_before_next_hook_executes()
|
||
|
||
outcome = yield
|
||
# outcome.excinfo may be None or a (cls, val, tb) tuple
|
||
|
||
res = outcome.get_result() # will raise if outcome was exception
|
||
|
||
post_process_result(res)
|
||
|
||
outcome.force_result(new_res) # to override the return value to the plugin system
|
||
|
||
Note that hook wrappers don't return results themselves, they merely
|
||
perform tracing or other side effects around the actual hook implementations.
|
||
If the result of the underlying hook is a mutable object, they may modify
|
||
that result but it's probably better to avoid it.
|
||
|
||
For more information, consult the `pluggy documentation <http://pluggy.readthedocs.io/en/latest/#wrappers>`_.
|
||
|
||
|
||
Hook function ordering / call example
|
||
-------------------------------------
|
||
|
||
For any given hook specification there may be more than one
|
||
implementation and we thus generally view ``hook`` execution as a
|
||
``1:N`` function call where ``N`` is the number of registered functions.
|
||
There are ways to influence if a hook implementation comes before or
|
||
after others, i.e. the position in the ``N``-sized list of functions:
|
||
|
||
.. code-block:: python
|
||
|
||
# Plugin 1
|
||
@pytest.hookimpl(tryfirst=True)
|
||
def pytest_collection_modifyitems(items):
|
||
# will execute as early as possible
|
||
...
|
||
|
||
|
||
# Plugin 2
|
||
@pytest.hookimpl(trylast=True)
|
||
def pytest_collection_modifyitems(items):
|
||
# will execute as late as possible
|
||
...
|
||
|
||
|
||
# Plugin 3
|
||
@pytest.hookimpl(hookwrapper=True)
|
||
def pytest_collection_modifyitems(items):
|
||
# will execute even before the tryfirst one above!
|
||
outcome = yield
|
||
# will execute after all non-hookwrappers executed
|
||
|
||
Here is the order of execution:
|
||
|
||
1. Plugin3's pytest_collection_modifyitems called until the yield point
|
||
because it is a hook wrapper.
|
||
|
||
2. Plugin1's pytest_collection_modifyitems is called because it is marked
|
||
with ``tryfirst=True``.
|
||
|
||
3. Plugin2's pytest_collection_modifyitems is called because it is marked
|
||
with ``trylast=True`` (but even without this mark it would come after
|
||
Plugin1).
|
||
|
||
4. Plugin3's pytest_collection_modifyitems then executing the code after the yield
|
||
point. The yield receives a :py:class:`Result <pluggy._Result>` instance which encapsulates
|
||
the result from calling the non-wrappers. Wrappers shall not modify the result.
|
||
|
||
It's possible to use ``tryfirst`` and ``trylast`` also in conjunction with
|
||
``hookwrapper=True`` in which case it will influence the ordering of hookwrappers
|
||
among each other.
|
||
|
||
|
||
Declaring new hooks
|
||
------------------------
|
||
|
||
.. currentmodule:: _pytest.hookspec
|
||
|
||
Plugins and ``conftest.py`` files may declare new hooks that can then be
|
||
implemented by other plugins in order to alter behaviour or interact with
|
||
the new plugin:
|
||
|
||
.. autofunction:: pytest_addhooks
|
||
:noindex:
|
||
|
||
Hooks are usually declared as do-nothing functions that contain only
|
||
documentation describing when the hook will be called and what return values
|
||
are expected.
|
||
|
||
For an example, see `newhooks.py`_ from `xdist <https://github.com/pytest-dev/pytest-xdist>`_.
|
||
|
||
.. _`newhooks.py`: https://github.com/pytest-dev/pytest-xdist/blob/974bd566c599dc6a9ea291838c6f226197208b46/xdist/newhooks.py
|
||
|
||
|
||
Optionally using hooks from 3rd party plugins
|
||
---------------------------------------------
|
||
|
||
Using new hooks from plugins as explained above might be a little tricky
|
||
because of the standard :ref:`validation mechanism <validation>`:
|
||
if you depend on a plugin that is not installed, validation will fail and
|
||
the error message will not make much sense to your users.
|
||
|
||
One approach is to defer the hook implementation to a new plugin instead of
|
||
declaring the hook functions directly in your plugin module, for example:
|
||
|
||
.. code-block:: python
|
||
|
||
# contents of myplugin.py
|
||
|
||
|
||
class DeferPlugin(object):
|
||
"""Simple plugin to defer pytest-xdist hook functions."""
|
||
|
||
def pytest_testnodedown(self, node, error):
|
||
"""standard xdist hook function.
|
||
"""
|
||
|
||
|
||
def pytest_configure(config):
|
||
if config.pluginmanager.hasplugin("xdist"):
|
||
config.pluginmanager.register(DeferPlugin())
|
||
|
||
This has the added benefit of allowing you to conditionally install hooks
|
||
depending on which plugins are installed.
|