This covers special considerations when writing unit tests for a cmd2 application.
The External Test Plugin <plugins/external_test> provides a mixin class with an :meth:function that allows external calls to application commands. The :meth:`~cmd2_ext_test.ExternalTestMixin.app_cmd()` function captures and returns stdout, stderr, and the command-specific result data. Mocking ~~~~~~~ If you need to mock anything in your cmd2 application, and most specifically in sub-classes of :class:`~cmd2.Cmd` or :class:`~cmd2.command_definition.CommandSet`, you must use `Autospeccing <python_mock_autospeccing_>`_, `spec=True <python_mock_patch_>`_, or whatever equivalant is provided in the mocking library you're using. In order to automatically load functions as commands cmd2 performs a number of reflection calls to look up attributes of classes defined in your cmd2 application. Many mocking libraries will automatically create mock objects to match any attribute being requested, regardless of whether they're present in the object being mocked. This behavior can incorrectly instruct cmd2 to treat a function or attribute as something it needs to recognize and process. To prevent this, you should always mock with `Autospeccing <python_mock_autospeccing_>`_ or `spec=True <python_mock_patch_>`_ enabled. If you don't have autospeccing on, your unit tests will failing with an error message like:: cmd2.exceptions.CommandSetRegistrationError: Subcommand <MagicMock name='cmdloop.subcommand_name' id='4506146416'> is not valid: must be a string. Received <class 'unittest.mock.MagicMock'> instead Examples ~~~~~~~~ .. code-block:: python def test_mocked_methods(): with mock.patch.object(MockMethodApp, 'foo', spec=True): cli = MockMethodApp() Another one using `pytest-mock <https://pypi.org/project/pytest-mock/>`_ to provide amocker`` fixture:
def test_mocked_methods2(mocker):
mock_cmdloop = mocker.patch("cmd2.Cmd.cmdloop", autospec=True)
cli = cmd2.Cmd()
cli.cmdloop()
assert mock_cmdloop.call_count == 1