314 lines
11 KiB
ReStructuredText
314 lines
11 KiB
ReStructuredText
.. highlight:: python
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.. _`goodpractices`:
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Good Integration Practices
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=================================================
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Install package with pip
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-------------------------------------------------
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For development, we recommend you use :mod:`venv` for virtual environments and
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:doc:`pip:index` for installing your application and any dependencies,
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as well as the ``pytest`` package itself.
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This ensures your code and dependencies are isolated from your system Python installation.
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Create a ``pyproject.toml`` file in the root of your repository as described in
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:doc:`packaging:tutorials/packaging-projects`.
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The first few lines should look like this:
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.. code-block:: toml
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "PACKAGENAME"
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version = "PACKAGEVERSION"
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where ``PACKAGENAME`` and ``PACKAGEVERSION`` are the name and version of your package respectively.
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You can then install your package in "editable" mode by running from the same directory:
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.. code-block:: bash
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pip install -e .
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which lets you change your source code (both tests and application) and rerun tests at will.
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.. _`test discovery`:
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.. _`Python test discovery`:
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Conventions for Python test discovery
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-------------------------------------------------
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``pytest`` implements the following standard test discovery:
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* If no arguments are specified then collection starts from :confval:`testpaths`
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(if configured) or the current directory. Alternatively, command line arguments
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can be used in any combination of directories, file names or node ids.
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* Recurse into directories, unless they match :confval:`norecursedirs`.
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* In those directories, search for ``test_*.py`` or ``*_test.py`` files, imported by their `test package name`_.
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* From those files, collect test items:
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* ``test`` prefixed test functions or methods outside of class.
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* ``test`` prefixed test functions or methods inside ``Test`` prefixed test classes (without an ``__init__`` method). Methods decorated with ``@staticmethod`` and ``@classmethods`` are also considered.
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For examples of how to customize your test discovery :doc:`/example/pythoncollection`.
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Within Python modules, ``pytest`` also discovers tests using the standard
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:ref:`unittest.TestCase <unittest.TestCase>` subclassing technique.
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Choosing a test layout / import rules
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-------------------------------------
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``pytest`` supports two common test layouts:
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Tests outside application code
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Putting tests into an extra directory outside your actual application code
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might be useful if you have many functional tests or for other reasons want
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to keep tests separate from actual application code (often a good idea):
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.. code-block:: text
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pyproject.toml
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src/
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mypkg/
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__init__.py
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app.py
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view.py
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tests/
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test_app.py
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test_view.py
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...
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This has the following benefits:
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* Your tests can run against an installed version after executing ``pip install .``.
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* Your tests can run against the local copy with an editable install after executing ``pip install --editable .``.
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For new projects, we recommend to use ``importlib`` :ref:`import mode <import-modes>`
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(see which-import-mode_ for a detailed explanation).
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To this end, add the following to your ``pyproject.toml``:
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.. code-block:: toml
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[tool.pytest.ini_options]
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addopts = [
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"--import-mode=importlib",
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]
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.. _src-layout:
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Generally, but especially if you use the default import mode ``prepend``,
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it is **strongly** suggested to use a ``src`` layout.
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Here, your application root package resides in a sub-directory of your root,
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i.e. ``src/mypkg/`` instead of ``mypkg``.
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This layout prevents a lot of common pitfalls and has many benefits,
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which are better explained in this excellent `blog post`_ by Ionel Cristian Mărieș.
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.. _blog post: https://blog.ionelmc.ro/2014/05/25/python-packaging/#the-structure>
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.. note::
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If you do not use an editable install and use the ``src`` layout as above you need to extend the Python's
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search path for module files to execute the tests against the local copy directly. You can do it in an
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ad-hoc manner by setting the ``PYTHONPATH`` environment variable:
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.. code-block:: bash
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PYTHONPATH=src pytest
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or in a permanent manner by using the :confval:`pythonpath` configuration variable and adding the
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following to your ``pyproject.toml``:
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.. code-block:: toml
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[tool.pytest.ini_options]
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pythonpath = "src"
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.. note::
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If you do not use an editable install and not use the ``src`` layout (``mypkg`` directly in the root
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directory) you can rely on the fact that Python by default puts the current directory in ``sys.path`` to
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import your package and run ``python -m pytest`` to execute the tests against the local copy directly.
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See :ref:`pytest vs python -m pytest` for more information about the difference between calling ``pytest`` and
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``python -m pytest``.
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Tests as part of application code
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Inlining test directories into your application package
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is useful if you have direct relation between tests and application modules and
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want to distribute them along with your application:
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.. code-block:: text
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pyproject.toml
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[src/]mypkg/
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__init__.py
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app.py
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view.py
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tests/
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__init__.py
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test_app.py
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test_view.py
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...
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In this scheme, it is easy to run your tests using the ``--pyargs`` option:
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.. code-block:: bash
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pytest --pyargs mypkg
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``pytest`` will discover where ``mypkg`` is installed and collect tests from there.
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Note that this layout also works in conjunction with the ``src`` layout mentioned in the previous section.
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.. note::
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You can use namespace packages (PEP420) for your application
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but pytest will still perform `test package name`_ discovery based on the
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presence of ``__init__.py`` files. If you use one of the
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two recommended file system layouts above but leave away the ``__init__.py``
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files from your directories, it should just work. From
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"inlined tests", however, you will need to use absolute imports for
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getting at your application code.
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.. _`test package name`:
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.. note::
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In ``prepend`` and ``append`` import-modes, if pytest finds a ``"a/b/test_module.py"``
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test file while recursing into the filesystem it determines the import name
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as follows:
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* determine ``basedir``: this is the first "upward" (towards the root)
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directory not containing an ``__init__.py``. If e.g. both ``a``
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and ``b`` contain an ``__init__.py`` file then the parent directory
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of ``a`` will become the ``basedir``.
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* perform ``sys.path.insert(0, basedir)`` to make the test module
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importable under the fully qualified import name.
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* ``import a.b.test_module`` where the path is determined
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by converting path separators ``/`` into "." characters. This means
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you must follow the convention of having directory and file
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names map directly to the import names.
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The reason for this somewhat evolved importing technique is
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that in larger projects multiple test modules might import
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from each other and thus deriving a canonical import name helps
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to avoid surprises such as a test module getting imported twice.
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With ``--import-mode=importlib`` things are less convoluted because
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pytest doesn't need to change ``sys.path`` or ``sys.modules``, making things
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much less surprising.
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.. _which-import-mode:
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Choosing an import mode
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^^^^^^^^^^^^^^^^^^^^^^^
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For historical reasons, pytest defaults to the ``prepend`` :ref:`import mode <import-modes>`
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instead of the ``importlib`` import mode we recommend for new projects.
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The reason lies in the way the ``prepend`` mode works:
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Since there are no packages to derive a full package name from,
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``pytest`` will import your test files as *top-level* modules.
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The test files in the first example (:ref:`src layout <src-layout>`) would be imported as
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``test_app`` and ``test_view`` top-level modules by adding ``tests/`` to ``sys.path``.
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This results in a drawback compared to the import mode ``importlib``:
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your test files must have **unique names**.
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If you need to have test modules with the same name,
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as a workaround you might add ``__init__.py`` files to your ``tests`` folder and subfolders,
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changing them to packages:
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.. code-block:: text
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pyproject.toml
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mypkg/
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...
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tests/
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__init__.py
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foo/
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__init__.py
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test_view.py
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bar/
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__init__.py
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test_view.py
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Now pytest will load the modules as ``tests.foo.test_view`` and ``tests.bar.test_view``,
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allowing you to have modules with the same name.
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But now this introduces a subtle problem:
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in order to load the test modules from the ``tests`` directory,
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pytest prepends the root of the repository to ``sys.path``,
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which adds the side-effect that now ``mypkg`` is also importable.
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This is problematic if you are using a tool like tox_ to test your package in a virtual environment,
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because you want to test the *installed* version of your package,
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not the local code from the repository.
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The ``importlib`` import mode does not have any of the drawbacks above,
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because ``sys.path`` is not changed when importing test modules.
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.. _`buildout`: http://www.buildout.org/en/latest/
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.. _`use tox`:
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tox
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---
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Once you are done with your work and want to make sure that your actual
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package passes all tests you may want to look into :doc:`tox <tox:index>`, the
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virtualenv test automation tool.
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``tox`` helps you to setup virtualenv environments with pre-defined
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dependencies and then executing a pre-configured test command with
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options. It will run tests against the installed package and not
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against your source code checkout, helping to detect packaging
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glitches.
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Do not run via setuptools
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-------------------------
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Integration with setuptools is **not recommended**,
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i.e. you should not be using ``python setup.py test`` or ``pytest-runner``,
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and may stop working in the future.
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This is deprecated since it depends on deprecated features of setuptools
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and relies on features that break security mechanisms in pip.
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For example 'setup_requires' and 'tests_require' bypass ``pip --require-hashes``.
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For more information and migration instructions,
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see the `pytest-runner notice <https://github.com/pytest-dev/pytest-runner#deprecation-notice>`_.
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See also `pypa/setuptools#1684 <https://github.com/pypa/setuptools/issues/1684>`_.
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setuptools intends to
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`remove the test command <https://github.com/pypa/setuptools/issues/931>`_.
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Checking with flake8-pytest-style
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---------------------------------
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In order to ensure that pytest is being used correctly in your project,
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it can be helpful to use the `flake8-pytest-style <https://github.com/m-burst/flake8-pytest-style>`_ flake8 plugin.
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flake8-pytest-style checks for common mistakes and coding style violations in pytest code,
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such as incorrect use of fixtures, test function names, and markers.
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By using this plugin, you can catch these errors early in the development process
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and ensure that your pytest code is consistent and easy to maintain.
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A list of the lints detected by flake8-pytest-style can be found on its `PyPI page <https://pypi.org/project/flake8-pytest-style/>`_.
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.. note::
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flake8-pytest-style is not an official pytest project. Some of the rules enforce certain style choices, such as using `@pytest.fixture()` over `@pytest.fixture`, but you can configure the plugin to fit your preferred style.
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