pytest-2.3: reasoning for fixture/funcarg evolution

Target audience: Reading this document requires basic knowledge of python testing, xUnit setup methods and the (previous) basic pytest funcarg mechanism, see If you are new to pytest, then you can simply ignore this section and read the other sections.

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
class Database(object):
    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,

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 pytest_generate_tests() hook calling 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 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 fixture function 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 improved fixture mechanism.

Direct scoping of fixture/funcarg factories

Instead of calling cached_setup() with a cache scope, you can use the @pytest.fixture decorator and directly state the scope:

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 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 was already used when test functions/classes were parametrized via 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 @fixture decorator

When using the @fixture decorator the name of the function denotes the name under which the resource can be accessed as a function argument:

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 / autouse fixtures

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 “–collect-only”) resource-setup will still be executed.
  3. If a pytest_sessionstart is contained in some subdirectories 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 Autouse fixtures (xUnit setup on steroids) which fully integrate with the generic fixture mechanism and obsolete many prior uses of pytest hooks.

funcargs/fixture discovery now happens at collection time

Since pytest-2.3, discovery of fixture/funcarg factories are taken care of at collection time. This is more efficient especially for large test suites. Moreover, a call to “pytest –collect-only” should be able to in the future show a lot of setup-information and thus presents a nice method to get an overview of fixture management in your project.

Conclusion and compatibility notes

funcargs were originally introduced to pytest-2.0. In pytest-2.3 the mechanism was extended and refined and is now described as fixtures:

  • previously funcarg factories were specified with a special pytest_funcarg__NAME prefix instead of using the @pytest.fixture decorator.
  • Factories received a request object which managed caching through request.cached_setup() calls and allowed using other funcargs via request.getfuncargvalue() calls. These intricate APIs made it hard to do proper parametrization and implement resource caching. The new pytest.fixture() decorator allows to declare the scope and let pytest figure things out for you.
  • if you used parametrization and funcarg factories which made use of request.cached_setup() it is recommended to invest a few minutes and simplify your fixture function code to use the Fixtures as Function arguments decorator instead. This will also allow to take advantage of the automatic per-resource grouping of tests.