This is a list of pytest.* API functions and fixtures.
For information on plugin hooks and objects, see Writing plugins.
For information on the pytest.mark mechanism, see Marking test functions with attributes.
For the below objects, you can also interactively ask for help, e.g. by typing on the Python interactive prompt something like:
import pytest help(pytest)
return exit code, after performing an in-process test run.
More examples at Calling pytest from Python code
assert that a code block/function call raises @expected_exception and raise a failure exception otherwise.
This helper produces a py.code.ExceptionInfo() object.
If using Python 2.5 or above, you may use this function as a context manager:
>>> with raises(ZeroDivisionError): ... 1/0
When using pytest.raises as a context manager, it’s worthwhile to note that normal context manager rules apply and that the exception raised must be the final line in the scope of the context manager. Lines of code after that, within the scope of the context manager will not be executed. For example:
>>> with raises(OSError) as err: assert 1 == 1 # this will execute as expected raise OSError(errno.EEXISTS, 'directory exists') assert err.errno == errno.EEXISTS # this will not execute
Instead, the following approach must be taken (note the difference in scope):
>>> with raises(OSError) as err: assert 1 == 1 # this will execute as expected raise OSError(errno.EEXISTS, 'directory exists') assert err.errno == errno.EEXISTS # this will now execute
Or you can specify a callable by passing a to-be-called lambda:
>>> raises(ZeroDivisionError, lambda: 1/0) <ExceptionInfo ...>
or you can specify an arbitrary callable with arguments:
>>> def f(x): return 1/x ... >>> raises(ZeroDivisionError, f, 0) <ExceptionInfo ...> >>> raises(ZeroDivisionError, f, x=0) <ExceptionInfo ...>
A third possibility is to use a string to be executed:
>>> raises(ZeroDivisionError, "f(0)") <ExceptionInfo ...>
Similar to caught exception objects in Python, explicitly clearing local references to returned py.code.ExceptionInfo objects can help the Python interpreter speed up its garbage collection.
Clearing those references breaks a reference cycle (ExceptionInfo –> caught exception –> frame stack raising the exception –> current frame stack –> local variables –> ExceptionInfo) which makes Python keep all objects referenced from that cycle (including all local variables in the current frame) alive until the next cyclic garbage collection run. See the official Python try statement documentation for more detailed information.
Examples at Assertions about expected exceptions.
assert that calling func(*args, **kwargs) triggers a DeprecationWarning or PendingDeprecationWarning.
Note: we cannot use WarningsRecorder here because it is still subject to the mechanism that prevents warnings of the same type from being triggered twice for the same module. See #1190.
You can use the following functions in your test, fixture or setup functions to force a certain test outcome. Note that most often you can rather use declarative marks, see Skip and xfail: dealing with tests that can not succeed.
explicitly fail an currently-executing test with the given Message.
|Parameters:||pytrace – if false the msg represents the full failure information and no python traceback will be reported.|
skip an executing test with the given message. Note: it’s usually better to use the pytest.mark.skipif marker to declare a test to be skipped under certain conditions like mismatching platforms or dependencies. See the pytest_skipping plugin for details.
return imported module if it has at least “minversion” as its __version__ attribute. If no minversion is specified the a skip is only triggered if the module can not be imported.
xfail an executing test or setup functions with the given reason.
exit testing process as if KeyboardInterrupt was triggered.
To mark a fixture function:
(return a) decorator to mark a fixture factory function.
This decorator can be used (with or or without parameters) to define a fixture function. The name of the fixture function can later be referenced to cause its invocation ahead of running tests: test modules or classes can use the pytest.mark.usefixtures(fixturename) marker. Test functions can directly use fixture names as input arguments in which case the fixture instance returned from the fixture function will be injected.
Tutorial at pytest fixtures: explicit, modular, scalable.
The request object that can be used from fixture functions.
A request for a fixture from a test or fixture function.
A request object gives access to the requesting test context and has an optional param attribute in case the fixture is parametrized indirectly.
fixture for which this request is being performed
Scope string, one of “function”, “cls”, “module”, “session”
underlying collection node (depends on current request scope)
the pytest config object associated with this request.
test function object if the request has a per-function scope.
class (can be None) where the test function was collected.
instance (can be None) on which test function was collected.
python module object where the test function was collected.
the file system path of the test module which collected this test.
keywords/markers dictionary for the underlying node.
pytest session object.
add finalizer/teardown function to be called after the last test within the requesting test context finished execution.
Apply a marker to a single test function invocation. This method is useful if you don’t want to have a keyword/marker on all function invocations.
|Parameters:||marker – a _pytest.mark.MarkDecorator object created by a call to pytest.mark.NAME(...).|
raise a FixtureLookupError with the given message.
(deprecated) Return a testing resource managed by setup & teardown calls. scope and extrakey determine when the teardown function will be called so that subsequent calls to setup would recreate the resource. With pytest-2.3 you often do not need cached_setup() as you can directly declare a scope on a fixture function and register a finalizer through request.addfinalizer().
Dynamically retrieve a named fixture function argument.
As of pytest-2.3, it is easier and usually better to access other fixture values by stating it as an input argument in the fixture function. If you only can decide about using another fixture at test setup time, you may use this function to retrieve it inside a fixture function body.
You can ask for available builtin or project-custom fixtures by typing:
$ py.test -q --fixtures cache Return a cache object that can persist state between testing sessions. cache.get(key, default) cache.set(key, value) Keys must be a ``/`` separated value, where the first part is usually the name of your plugin or application to avoid clashes with other cache users. Values can be any object handled by the json stdlib module. capsys enables capturing of writes to sys.stdout/sys.stderr and makes captured output available via ``capsys.readouterr()`` method calls which return a ``(out, err)`` tuple. capfd enables capturing of writes to file descriptors 1 and 2 and makes captured output available via ``capfd.readouterr()`` method calls which return a ``(out, err)`` tuple. record_xml_property Fixture that adds extra xml properties to the tag for the calling test. The fixture is callable with (name, value), with value being automatically xml-encoded. monkeypatch The returned ``monkeypatch`` funcarg provides these helper methods to modify objects, dictionaries or os.environ:: monkeypatch.setattr(obj, name, value, raising=True) monkeypatch.delattr(obj, name, raising=True) monkeypatch.setitem(mapping, name, value) monkeypatch.delitem(obj, name, raising=True) monkeypatch.setenv(name, value, prepend=False) monkeypatch.delenv(name, value, raising=True) monkeypatch.syspath_prepend(path) monkeypatch.chdir(path) All modifications will be undone after the requesting test function has finished. The ``raising`` parameter determines if a KeyError or AttributeError will be raised if the set/deletion operation has no target. pytestconfig the pytest config object with access to command line opts. recwarn Return a WarningsRecorder instance that provides these methods: * ``pop(category=None)``: return last warning matching the category. * ``clear()``: clear list of warnings See http://docs.python.org/library/warnings.html for information on warning categories. tmpdir_factory Return a TempdirFactory instance for the test session. tmpdir return a temporary directory path object which is unique to each test function invocation, created as a sub directory of the base temporary directory. The returned object is a `py.path.local`_ path object. no tests ran in 0.12 seconds