1. michilu
  2. pytest


pytest / doc / en / goodpractises.txt

.. highlightlang:: python
.. _`goodpractises`:

Good Integration Practises

Work with virtual environments

We recommend to use virtualenv_ environments and use easy_install_
(or pip_) for installing your application dependencies as well as
the ``pytest`` package itself.  This way you will get a much more reproducible
environment.  A good tool to help you automate test runs against multiple
dependency configurations or Python interpreters is `tox`_.

.. _`virtualenv`: http://pypi.python.org/pypi/virtualenv
.. _`buildout`: http://www.buildout.org/
.. _pip: http://pypi.python.org/pypi/pip

Use tox and Continuous Integration servers

If you frequently release code to the public you
may want to look into `tox`_, the virtualenv test automation
tool and its `pytest support <http://codespeak.net/tox/example/pytest.html>`_.
The basic idea is to generate a JUnitXML file through the ``--junitxml=PATH`` option and have a continuous integration server like Jenkins_ pick it up
and generate reports.

.. _standalone:
.. _`genscript method`:

Create a py.test standalone script

If you are a maintainer or application developer and want others
to easily run tests you can generate a completely standalone "py.test"

    py.test --genscript=runtests.py

generates a ``runtests.py`` script which is a fully functional basic
``py.test`` script, running unchanged under Python2 and Python3.
You can tell people to download the script and then e.g.  run it like this::

    python runtests.py

.. _`Distribute for installation`: http://pypi.python.org/pypi/distribute#installation-instructions
.. _`distribute installation`: http://pypi.python.org/pypi/distribute

Integrating with distutils / ``python setup.py test``

You can integrate test runs into your distutils or
setuptools based project.  Use the `genscript method`_
to generate a standalone py.test script::

    py.test --genscript=runtests.py

and make this script part of your distribution and then add
this to your ``setup.py`` file::

    from distutils.core import setup, Command
    # you can also import from setuptools

    class PyTest(Command):
        user_options = []
        def initialize_options(self):
        def finalize_options(self):
        def run(self):
            import sys,subprocess
            errno = subprocess.call([sys.executable, 'runtests.py'])
            raise SystemExit(errno)
        cmdclass = {'test': PyTest},

If you now type::

    python setup.py test

this will execute your tests using ``runtests.py``. As this is a
standalone version of ``py.test`` no prior installation whatsoever is
required for calling the test command. You can also pass additional
arguments to the subprocess-calls such as your test directory or other

Integration with setuptools/distribute test commands

Distribute/Setuptools support test requirements,
which means its really easy to extend its test command
to support running a pytest from test requirements::

    from setuptools.command.test import test as TestCommand
    import sys

    class PyTest(TestCommand):
        def finalize_options(self):
            self.test_args = []
            self.test_suite = True
        def run_tests(self):
            #import here, cause outside the eggs aren't loaded
            import pytest
            errno = pytest.main(self.test_args)

        cmdclass = {'test': PyTest},

Now if you run::

    python setup.py test

this will download py.test if needed and then run py.test
as you would expect it to.

.. _`test discovery`:
.. _`Python test discovery`:

Conventions for Python test discovery

``py.test`` implements the following standard test discovery:

* collection starts from the initial command line arguments
  which may be directories, filenames or test ids.
* recurse into directories, unless they match :confval:`norecursedirs`
* ``test_*.py`` or ``*_test.py`` files, imported by their `package name`_.
* ``Test`` prefixed test classes (without an ``__init__`` method)
* ``test_`` prefixed test functions or methods are test items

For examples of how to customize your test discovery :doc:`example/pythoncollection`.

Within Python modules, py.test also discovers tests using the standard
:ref:`unittest.TestCase <unittest.TestCase>` subclassing technique.

Choosing a test layout / import rules

py.test supports common test layouts:

* inlining test directories into your application package, useful if you want to
  keep (unit) tests and actually tested code close together::


* putting tests into an extra directory outside your actual application
  code, useful if you have many functional tests or want to keep
  tests separate from actual application code::


In both cases you usually need to make sure that ``mypkg`` is importable,
for example by using the setuptools ``python setup.py develop`` method.

You can run your tests by pointing to it::

    py.test tests/test_app.py       # for external test dirs
    py.test mypkg/test/test_app.py  # for inlined test dirs
    py.test mypkg                   # run tests in all below test directories
    py.test                         # run all tests below current dir

.. _`package name`:

.. note::

    If py.test finds a "a/b/test_module.py" test file while
    recursing into the filesystem it determines the import name
    as follows:

    * find ``basedir`` -- this is the first "upward" (towards the root)
      directory not containing an ``__init__.py``.  If both the ``a``
      and ``b`` directories contain an ``__init__.py`` the basedir will
      be the parent dir of ``a``.

    * perform ``sys.path.insert(0, basedir)`` to make the test module
      importable under the fully qualified import name.

    * ``import a.b.test_module`` where the path is determined
      by converting path separators ``/`` into "." characters.  This means
      you must follow the convention of having directory and file
      names map directly to the import names.

    The reason for this somewhat evolved importing technique is
    that in larger projects multiple test modules might import
    from each other and thus deriving a canonical import name helps
    to avoid surprises such as a test modules getting imported twice.

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