4 ms·

You can do some mocking to validate your error handling, definitely check it out.

• qwerty456127 5y ago
  Mocking sounds like a lot of work. Am I wrong?
  • kragen 5y ago
    Sometimes mocking, even to check error paths, isn't a lot of work. It depends. A lot of times designing your interfaces to support mock objects more easily improves them in other ways; if you pass in a file object instead of a filename, for example, not only does it become easier to pass in a mock object that raises an error, but it also becomes easier to pass in a GzipFile object or an HTTPResponse object, and presto, your function now handles compressed data and data stored on a web server. Also, though, monkeypatching stuff in tests isn't hard in dynamic languages. Here's an example from https://echohack.medium.com/python-unit-testing-injecting-exceptions-with-mock-and-nose-e46bf579c867 https://echohack.medium.com/python-unit-testing-injecting-ex...: with patch.object(requests, "get") as get_mock: with nose.tools.assert_raises(socket.error): get_mock.side_effect = socket.error inject_exception.call_api("http://example.com")
  • ratww 5y ago
    Depends on how you write your code. If your functions have lots of hidden dependencies and side-effects, it’s hard to test. If you split concerns properly and keep your glue/IO code separated from the decision-making/business-rules/logic, mocking is quite trivial, and there are advantages other than just testability. Check out this talk to see examples of that in action: https://www.destroyallsoftware.com/talks/boundaries https://www.destroyallsoftware.com/talks/boundaries