.. highlightlang:: python .. _`goodpractises`: Good Integration Practises ================================================= Work with virtual environments ----------------------------------------------------------- We recommend to use virtualenv_ environments and use pip_ (or easy_install_) for installing your application and any dependencies as well as the ``pytest`` package itself. This way you will get an isolated and reproducible environment. Given you have installed virtualenv_ and execute it from the command line, here is an example session for unix or windows:: virtualenv . # create a virtualenv directory in the current directory source bin/activate # on unix scripts/activate # on Windows We can now install pytest:: pip install pytest Due to the ``activate`` step above the ``pip`` will come from the virtualenv directory and install any package into the isolated virtual environment. Choosing a test layout / import rules ------------------------------------------ ``pytest`` supports two common test layouts: * putting tests into an extra directory outside your actual application code, useful if you have many functional tests or for other reasons want to keep tests separate from actual application code (often a good idea):: setup.py # your distutils/setuptools Python package metadata mypkg/ __init__.py appmodule.py tests/ test_app.py ... * inlining test directories into your application package, useful if you have direct relation between (unit-)test and application modules and want to distribute your tests along with your application:: setup.py # your distutils/setuptools Python package metadata mypkg/ __init__.py appmodule.py ... test/ test_app.py ... Important notes relating to both schemes: - **make sure that "mypkg" is importable**, for example by typing once:: pip install -e . # install package using setup.py in editable mode - **avoid "__init__.py" files in your test directories**. This way your tests can run easily against an installed version of ``mypkg``, independently from if the installed package contains the tests or not. - With inlined tests you might put ``__init__.py`` into test directories and make them installable as part of your application. Using the ``py.test --pyargs mypkg`` invocation pytest will discover where mypkg is installed and collect tests from there. With the "external" test you can still distribute tests but they will not be installed or become importable. Typically you can run tests by pointing to test directories or modules:: 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 ... Because of the above ``editable install`` mode you can change your source code (both tests and the app) and rerun tests at will. Once you are done with your work, you can `use tox`_ to make sure that the package is really correct and tests pass in all required configurations. .. note:: You can use Python3 namespace packages (PEP420) for your application but pytest will still perform `test package name`_ discovery based on the presence of ``__init__.py`` files. If you use one of the two recommended file system layouts above but leave away the ``__init__.py`` files from your directories it should just work on Python3.3 and above. From "inlined tests", however, you will need to use absolute imports for getting at your application code. .. _`test package name`: .. note:: If ``pytest`` finds a "a/b/test_module.py" test file while recursing into the filesystem it determines the import name as follows: * determine ``basedir``: this is the first "upward" (towards the root) directory not containing an ``__init__.py``. If e.g. both ``a`` and ``b`` contain an ``__init__.py`` file then the parent directory of ``a`` will become the ``basedir``. * 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. .. _`virtualenv`: http://pypi.python.org/pypi/virtualenv .. _`buildout`: http://www.buildout.org/ .. _pip: http://pypi.python.org/pypi/pip .. _`use tox`: Use tox and Continuous Integration servers ------------------------------------------------- If you frequently release code and want to make sure that your actual package passes all tests you may want to look into `tox`_, the virtualenv test automation tool and its `pytest support `_. Tox helps you to setup virtualenv environments with pre-defined dependencies and then executing a pre-configured test command with options. It will run tests against the installed package and not against your source code checkout, helping to detect packaging glitches. If you want to use Jenkins_ you can use the ``--junitxml=PATH`` option to create a JUnitXML file that Jenkins_ can pick up and generate reports. .. _standalone: .. _`genscript method`: Create a pytest standalone script ------------------------------------------- If you are a maintainer or application developer and want people who don't deal with python much to easily run tests you may generate a standalone ``pytest`` script:: py.test --genscript=runtests.py This generates a ``runtests.py`` script which is a fully functional basic ``pytest`` 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 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 ``pytest`` 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): pass def finalize_options(self): pass def run(self): import sys,subprocess errno = subprocess.call([sys.executable, 'runtests.py']) raise SystemExit(errno) setup( #..., 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 ``pytest`` 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 options. Integration with setuptools test commands ---------------------------------------------------- Setuptools supports writing our own Test command for invoking pytest. Most often it is better to use tox_ instead, but here is how you can get started with setuptools integration:: from setuptools.command.test import test as TestCommand import sys class PyTest(TestCommand): def finalize_options(self): TestCommand.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) sys.exit(errno) setup( #..., tests_require=['pytest'], cmdclass = {'test': PyTest}, ) Now if you run:: python setup.py test this will download ``pytest`` if needed and then run your tests as you would expect it to. .. _`test discovery`: .. _`Python test discovery`: Conventions for Python test discovery ------------------------------------------------- ``pytest`` 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, ``pytest`` also discovers tests using the standard :ref:`unittest.TestCase ` subclassing technique. .. include:: links.inc