================================================ Customizing and Extending py.test ================================================ .. contents:: :local: :depth: 2 basic test configuration =================================== available command line options --------------------------------- You can see command line options by running:: py.test -h This will display all available command line options in your specific environment. .. _`project-specific test configuration`: .. _`collect_ignore`: conftest.py: project specific hooks and configuration -------------------------------------------------------- A unique feature of py.test are its ``conftest.py`` files which allow to: * `set option defaults`_ * `implement hooks`_ * `specify funcargs`_ or set particular variables to influence the testing process: * ``pytest_plugins``: list of named plugins to load * ``collect_ignore``: list of paths to ignore during test collection, relative to the containing ``conftest.py`` file * ``rsyncdirs``: list of to-be-rsynced directories for distributed testing, relative to the containing ``conftest.py`` file. You may put a conftest.py files in your project root directory or into your package directory if you want to add project-specific test options. ``py.test`` loads all ``conftest.py`` files upwards from the command line file arguments. It usually looks up configuration values right-to-left, i.e. the closer conftest files will be checked first. This means you can have a ``conftest.py`` in your very home directory to have some global configuration values. .. _`specify funcargs`: funcargs.html#application-setup-tutorial-example .. _`set option defaults`: setting persistent option defaults ------------------------------------ py.test will lookup option values in this order: * command line * conftest.py files * environment variables To find out about the particular switches and type:: py.test --help-config This will print information about all options in your environment, including your local plugins. .. _`basetemp`: Temporary directories ------------------------------------------- You can create directories by calling one of two methods on the config object: - ``config.mktemp(basename)``: create and return a new tempdir - ``config.ensuretemp(basename)``: create or return a new tempdir temporary directories are created as sub directories of a per-session testdir and will keep around the directories of the last three test runs. You can set the base temporary directory through the command line `--basetemp`` option. When distributing tests on the same machine, ``py.test`` takes care to configure a basetemp directory for the sub processes such that all temporary data lands below below a single per-test run basetemp directory. .. _`function arguments`: funcargs.html .. _`extensions`: Plugin basics ========================= .. _`local plugin`: project specific "local" or named "global" plugins -------------------------------------------------------------- py.test implements much of its functionality by calling `well specified hooks`_. Python modules which contain such hook functions are called plugins. Hook functions are discovered in ``conftest.py`` files or in `named plugins`_. ``conftest.py`` files are sometimes called "anonymous" or conftest plugins. They are useful for keeping test extensions close to your application. Named plugins are normal python modules or packages that can be distributed separately. Named plugins need to follow a naming pattern; they have an all lowercase ``pytest_`` prefixed name. While conftest plugins are discovered automatically, named plugins must be explicitely specified. .. _`named plugins`: plugin/index.html .. _`tool startup`: .. _`loaded at tool startup`: .. _`test tool starts up`: Plugin discovery at tool startup -------------------------------------------- py.test loads plugin modules at tool startup in the following way: * by reading the ``PYTEST_PLUGINS`` environment variable and importing the comma-separated list of named plugins. * by pre-scanning the command line for the ``-p name`` option and loading the specified plugin before actual command line parsing. * by loading all `conftest.py plugin`_ files as inferred by the command line invocation * by recursively loading all plugins specified by the ``pytest_plugins`` variable in a ``conftest.py`` file Note that at tool startup only ``conftest.py`` files in the directory of the specified test modules (or the current dir if None) or any of the parent directories are found. There is no try to pre-scan all subdirectories to find ``conftest.py`` files or test modules. Specifying plugins in a test module or plugin ----------------------------------------------- You can specify plugins in a test module or a plugin like this: .. sourcecode:: python pytest_plugins = "name1", "name2", When the test module or plugin is loaded the specified plugins will be loaded. If you specify plugins without the ``pytest_`` prefix it will be automatically added. All plugin names must be lowercase. .. _`conftest.py plugin`: .. _`conftestplugin`: conftest.py as anonymous per-project plugins -------------------------------------------------- The purpose of ``conftest.py`` files is to allow `project-specific test configuration`_. They thus make for a good place to implement project-specific test related features through hooks. For example you may set the `collect_ignore`_ variable depending on a command line option by defining the following hook in a ``conftest.py`` file: .. _`exclude-file-example`: .. sourcecode:: python # ./conftest.py in your root or package dir collect_ignore = ['hello', 'test_world.py'] def pytest_addoption(parser): parser.addoption("--runall", action="store_true", default=False) def pytest_configure(config): if config.getvalue("runall"): collect_ignore[:] = [] .. _`well specified hooks`: .. _`implement hooks`: Important py.test hooks ==================================== py.test calls hooks functions to implement its `test collection`_, running and reporting process. When py.test loads a plugin it validates that all hook functions conform to the `hook definition specification`_. The hook function name and its argument names need to match exactly but it is allowed for an implementation to accept *less* parameters. You'll get useful errors on mistyped hook or argument names. Read on for some introductory information on particular hooks. It's sensible to look at existing plugins so see example usages and start off with your own plugin. .. _`hook definition specification`: plugin/hookspec.html .. _`configuration hooks`: command line parsing and configuration hooks -------------------------------------------------------------------- When the `test tool starts up`_ it will invoke all hooks that add command line options in the python standard optparse style. .. sourcecode:: python def pytest_addoption(parser): """ add command line options. """" parser.addoption("--myopt", dest="myopt", action="store_true") After all these hooks have been called, the command line is parser and a ``config`` object is created and another hook is invoked, for example: .. sourcecode:: python def pytest_configure(config): config.getvalue("myopt") When the test run finishes this corresponding finalizer hook is called: def pytest_unconfigure(config): ... adding global py.test helpers and functionality -------------------------------------------------------------------- If you want to make global helper functions or objects available to your test code you can implement: def pytest_namespace(): """ return dictionary with items to be made available on py.test. namespace """ All such returned items will be made available directly on the ``py.test`` namespace. If you want to provide helpers that are specific to a test function run or need to be setup per test function run, please refer to the `funcargs mechanism`_. .. _`funcargs mechanism`: funcargs.html generic "runtest" hooks ------------------------------ Each test item is usually executed by calling the following three hooks: .. sourcecode:: python pytest_runtest_setup(item) pytest_runtest_call(item) pytest_runtest_teardown(item) For each of the three invocations a `call object`_ encapsulates information about the outcome of the call and is subsequently used to make a report object: .. sourcecode:: python report = hook.pytest_runtest_makereport(item, call) For example, the `pytest_pdb plugin`_ uses this hook to activate interactive debugging on failures when ``--pdb`` is specified on the command line. Usually three reports will be generated for a single test item for each of the three runtest hooks respectively. If ``pytest_runtest_setup`` fails then ``pytest_runtest_teardown`` will be called but not ``pytest_runtest_call``. Each of the up to three reports is eventually fed to the logreport hook: .. sourcecode:: python pytest_runtest_logreport(report) A ``report`` object contains status and reporting information: .. sourcecode:: python report.longrepr = string/lines/object to print report.when = "setup", "call" or "teardown" report.shortrepr = letter for progress-report report.passed = True or False report.failed = True or False report.skipped = True or False The `pytest_terminal plugin`_ uses this hook to print information about a test run. The whole protocol described here is implemented via this hook: .. sourcecode:: python pytest_runtest_protocol(item) -> True .. _`call object`: The call object contains information about a performed call: .. sourcecode:: python call.excinfo = ExceptionInfo object or None call.when = "setup", "call" or "teardown" call.outerr = None or tuple of strings representing captured stdout/stderr .. _`pytest_pdb plugin`: http://bitbucket.org/hpk42/py-trunk/src/tip/py/test/plugin/pytest_pdb.py .. _`pytest_terminal plugin`: http://bitbucket.org/hpk42/py-trunk/src/tip/py/test/plugin/pytest_terminal.py generic collection hooks ------------------------------ py.test calls the following two fundamental hooks for collecting files and directories: .. sourcecode:: python def pytest_collect_directory(path, parent): """ return Collection node or None for the given path. """ def pytest_collect_file(path, parent): """ return Collection node or None for the given path. """ Both return a `collection node`_ for a given path. All returned nodes from all hook implementations will participate in the collection and running protocol. The ``parent`` object is the parent node and may be used to access command line options via the ``parent.config`` object. Python test function and module hooks ---------------------------------------------------- For influencing the collection of objects in Python modules you can use the following hook: .. sourcecode:: python def pytest_pycollect_makeitem(collector, name, obj): """ return custom item/collector for a python object in a module, or None. """ This hook will be called for each Python object in a collected Python module. The return value is a custom `collection node`_ or None. .. XXX or ``False`` if you want to indicate that the given item should not be collected. .. _`collection process`: .. _`collection node`: .. _`test collection`: Test Collection process ====================================================== the collection tree --------------------------------- The collecting process is iterative so that distribution and execution of tests can start as soon as the first test item is collected. Collection nodes with children are called "Collectors" and terminal nodes are called "Items". Here is an example of such a tree, generated with the command ``py.test --collectonly py/xmlobj``:: By default all directories not starting with a dot are traversed, looking for ``test_*.py`` and ``*_test.py`` files. Those Python files are imported under their `package name`_. The Module collector looks for test functions and test classes and methods. Test functions and methods are prefixed ``test`` by default. Test classes must start with a capitalized ``Test`` prefix. .. _`package name`: constructing the package name for test modules ------------------------------------------------- Test modules are imported under their fully qualified name. Given a filesystem ``fspath`` it is constructed as follows: * walk the directories up to the last one that contains an ``__init__.py`` file. * perform ``sys.path.insert(0, basedir)``. * import the root package as ``root`` * determine the fully qualified name for ``fspath`` by either: * calling ``root.__pkg__.getimportname(fspath)`` if the ``__pkg__`` exists.` or * otherwise use the relative path of the module path to the base dir and turn slashes into dots and strike the trailing ``.py``.