.. _`funcargcompare`: ============================================================= pytest-2.3: reasoning for the new funcarg and setup functions ============================================================= **Target audience**: Reading this document requires basic knowledge of python testing, xUnit setup methods and the (previous) basic pytest funcarg mechanism, see http://pytest.org/2.2.4/funcargs.html .. currentmodule:: _pytest Shortcomings of the previous pytest_funcarg__ mechanism =========================================================== The pre pytest-2.3 funcarg mechanism calls a factory each time a funcarg for a test function is required. If a factory wants to re-use a resource across different scopes, it often used the ``request.cached_setup()`` helper to manage caching of resources. Here is a basic example how we could implement a per-session Database object:: # content of conftest.py class Database: def __init__(self): print ("database instance created") def destroy(self): print ("database instance destroyed") def pytest_funcarg__db(request): return request.cached_setup(setup=DataBase, teardown=lambda db: db.destroy, scope="session") There are several limitations and difficulties with this approach: 1. Scoping funcarg resource creation is not straight forward, instead one must understand the intricate cached_setup() method mechanics. 2. parametrizing the "db" resource is not straight forward: you need to apply a "parametrize" decorator or implement a :py:func:`~hookspec.pytest_generate_tests` hook calling :py:func:`~python.Metafunc.parametrize` which performs parametrization at the places where the resource is used. Moreover, you need to modify the factory to use an ``extrakey`` parameter containing ``request.param`` to the :py:func:`~python.Request.cached_setup` call. 3. Multiple parametrized session-scoped resources will be active at the same time, making it hard for them to affect global state of the application under test. 4. there is no way how you can make use of funcarg factories in xUnit setup methods. 5. A non-parametrized funcarg factory cannot use a parametrized funcarg resource if it isn't stated in the test function signature. All of these limitations are addressed with pytest-2.3 and its new facilities. Direct scoping of funcarg factories -------------------------------------------------------- Instead of calling cached_setup(), you can use the :ref:`@pytest.fixture <@pytest.fixture>` decorator and directly state the scope:: @pytest.fixture(scope="session") def db(request): # factory will only be invoked once per session - db = DataBase() request.addfinalizer(db.destroy) # destroy when session is finished return db This factory implementation does not need to call ``cached_setup()`` anymore because it will only be invoked once per session. Moreover, the ``request.addfinalizer()`` registers a finalizer according to the specified resource scope on which the factory function is operating. Direct parametrization of funcarg resource factories ---------------------------------------------------------- Previously, funcarg factories could not directly cause parametrization. You needed to specify a ``@parametrize`` decorator on your test function or implement a ``pytest_generate_tests`` hook to perform parametrization, i.e. calling a test multiple times with different value sets. pytest-2.3 introduces a decorator for use on the factory itself:: @pytest.fixture(params=["mysql", "pg"]) def db(request): ... # use request.param Here the factory will be invoked twice (with the respective "mysql" and "pg" values set as ``request.param`` attributes) and and all of the tests requiring "db" will run twice as well. The "mysql" and "pg" values will also be used for reporting the test-invocation variants. This new way of parametrizing funcarg factories should in many cases allow to re-use already written factories because effectively ``request.param`` are already the parametrization attribute for test functions/classes were parametrized via :py:func:`~_pytest.python.Metafunc.parametrize(indirect=True)` calls. Of course it's perfectly fine to combine parametrization and scoping:: @pytest.fixture(scope="session", params=["mysql", "pg"]) def db(request): if request.param == "mysql": db = MySQL() elif request.param == "pg": db = PG() request.addfinalizer(db.destroy) # destroy when session is finished return db This would execute all tests requiring the per-session "db" resource twice, receiving the values created by the two respective invocations to the factory function. No ``pytest_funcarg__`` prefix when using @factory decorator ------------------------------------------------------------------- When using the ``@factory`` decorator the name of the function denotes the name under which the resource can be accessed as a function argument:: @pytest.fixture() def db(request): ... The name under which the funcarg resource can be requested is ``db``. You can still use the "old" non-decorator way of specifying funcarg factories aka:: def pytest_funcarg__db(request): ... But it is then not possible to define scoping and parametrization. It is thus recommended to use the factory decorator. solving per-session setup / the new @setup marker -------------------------------------------------------------- pytest for a long time offered a pytest_configure and a pytest_sessionstart hook which are often used to setup global resources. This suffers from several problems: 1. in distributed testing the master process would setup test resources that are never needed because it only co-ordinates the test run activities of the slave processes. 2. if you only perform a collection (with "--collectonly") resource-setup will still be executed. 3. If a pytest_sessionstart is contained in some subdirectories conftest.py file, it will not be called. This stems from the fact that this hook is actually used for reporting, in particular the test-header with platform/custom information. Moreover, it was not easy to define a scoped setup from plugins or conftest files other than to implement a ``pytest_runtest_setup()`` hook and caring for scoping/caching yourself. And it's virtually impossible to do this with parametrization as ``pytest_runtest_setup()`` is called during test execution and parametrization happens at collection time. It follows that pytest_configure/session/runtest_setup are often not appropriate for implementing common fixture needs. Therefore, pytest-2.3 introduces a new :ref:`@pytest.setup ` marker for setup functions and it accepts an optional "scope" parameter. See :ref:`setup` for more explanation and examples. funcarg and setup discovery now happens at collection time --------------------------------------------------------------------- pytest-2.3 takes care to discover funcarg factories and @setup methods at collection time. This is more efficient especially for large test suites. Moreover, a call to "py.test --collectonly" should be able to in the future show a lot of setup-information and thus presents a nice method to get an overview of resource management in your project.