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Clean Architecture in Python

Error Management in a Use Case

Understand how to implement robust error management and request validation in a use case within clean architecture. Learn to handle exceptions, update API endpoints, and perform integration tests to ensure external system compatibility using Flask in Python.

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Now that our implementation of requests and responses is complete, we can implement the final version of our use case. In our program, a proper validation of the incoming request for the room_list_use_case function is still missing. So, it doesn’t yet return a suitable response when something goes wrong.

Update test case

The test_room_list_without_parameters test must match the new API, so we add filters=None to assert_called_with in the code below:

Python 3.5
def test_room_list_without_parameters(domain_rooms):
    repo = mock.Mock()
    repo.list.return_value = domain_rooms
    request = build_room_list_request()
    response = room_list_use_case(repo, request)
    assert bool(response) is True
    repo.list.assert_called_with(filters=None)
    assert response.value == domain_rooms

There are three new tests that we can add to check the behavior of the use case when filters are not None. The first test checks if ...