.. _pytest-plugins: pytest plugin ============= We use special ``pytest`` plugin to improve the testing side of this project. For example: it is a popular request to ensure that your container does have its error pass handled. Because otherwise, developers might forget to do it properly. It is impossible to fix with types, but is really simple to check with tests. Installation ------------ You will need to install ``pytest`` separately. Usage ----- There's no need to install anything special. ``pytest`` will automatically find and use this plugin. To use it in your tests, request ``returns`` fixture like so: .. code:: python def test_my_container(returns): ... assert_equal ~~~~~~~~~~~~ We have a special helper to compare containers' equality. It might be an easy task for two ``Result`` or ``Maybe`` containers, but it is not very easy for two ``ReaderResult`` or ``FutureResult`` instances. Take a look: .. code:: python >>> from returns.result import Result >>> from returns.context import Reader >>> assert Result.from_value(1) == Result.from_value(1) >>> Reader.from_value(1) == Reader.from_value(1) False So, we can use :func:`~returns.primitives.asserts.assert_equal` or ``returns.assert_equal`` method from our ``pytest`` fixture: .. code:: python >>> from returns.result import Success >>> from returns.context import Reader >>> from returns.contrib.pytest import ReturnsAsserts >>> def test_container_equality(returns: ReturnsAsserts): ... returns.assert_equal(Success(1), Success(1)) ... returns.assert_equal(Reader.from_value(1), Reader.from_value(1)) >>> # We only run these tests manually, because it is a doc example: >>> returns_fixture = getfixture('returns') >>> test_container_equality(returns_fixture) is_error_handled ~~~~~~~~~~~~~~~~ The first helper we define is ``is_error_handled`` function. It tests that containers do handle error track. .. code:: python >>> from returns.result import Failure, Success >>> from returns.contrib.pytest import ReturnsAsserts >>> def test_error_handled(returns: ReturnsAsserts): ... assert not returns.is_error_handled(Failure(1)) ... assert returns.is_error_handled( ... Failure(1).lash(lambda _: Success('default value')), ... ) >>> # We only run these tests manually, because it is a doc example: >>> returns_fixture = getfixture('returns') >>> test_error_handled(returns_fixture) We recommend to unit test big chunks of code this way. This is helpful for big pipelines where you need at least one error handling at the very end. This is how it works internally: - Methods like ``fix`` and ``lash`` mark errors inside the container as handled - Methods like ``map`` and ``alt`` just copies the error handling state from the old container to a new one, so there's no need to re-handle the error after these methods - Methods like ``bind`` create new containers with unhandled errors .. note:: We use monkeypathing of containers inside tests to make this check possible. They are still purely functional inside. It does not affect production code. assert_trace ~~~~~~~~~~~~ Sometimes we have to know if a container is created correctly in a specific point of our flow. ``assert_trace`` helps us to check exactly this by identifying when a container is created and looking for the desired function. .. code:: python >>> from returns.result import Result, Success, Failure >>> from returns.contrib.pytest import ReturnsAsserts >>> def desired_function(arg: str) -> Result[int, str]: ... if arg.isnumeric(): ... return Success(int(arg)) ... return Failure('"{0}" is not a number'.format(arg)) >>> def test_if_failure_is_created_at_convert_function( ... returns: ReturnsAsserts, ... ): ... with returns.assert_trace(Failure, desired_function): ... Success('not a number').bind(desired_function) >>> def test_if_success_is_created_at_convert_function( ... returns: ReturnsAsserts, ... ): ... with returns.assert_trace(Success, desired_function): ... Success('42').bind(desired_function) >>> # We only run these tests manually, because it is a doc example: >>> returns_fixture = getfixture('returns') >>> test_if_failure_is_created_at_convert_function(returns_fixture) >>> test_if_success_is_created_at_convert_function(returns_fixture) markers ~~~~~~~ We also ship a bunch of pre-defined markers with ``returns``: - ``returns_lawful`` is used to mark all tests generated by our :ref:`hypothesis-plugins` Further reading --------------- - `pytest docs `_ API Reference ------------- .. autoclasstree:: returns.contrib.pytest.plugin :strict: .. automodule:: returns.contrib.pytest.plugin :members: .. automodule:: returns.primitives.asserts :members: