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Asserting successive calls to a mock method

Tags:

python

mocking

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What is Side_effect in mock python?

side_effect: A function to be called whenever the Mock is called. See the side_effect attribute. Useful for raising exceptions or dynamically changing return values. The function is called with the same arguments as the mock, and unless it returns DEFAULT , the return value of this function is used as the return value.

How does Unittest mock work?

unittest. mock provides a powerful mechanism for mocking objects, called patch() , which looks up an object in a given module and replaces that object with a Mock . Usually, you use patch() as a decorator or a context manager to provide a scope in which you will mock the target object.


assert_has_calls is another approach to this problem.

From the docs:

assert_has_calls (calls, any_order=False)

assert the mock has been called with the specified calls. The mock_calls list is checked for the calls.

If any_order is False (the default) then the calls must be sequential. There can be extra calls before or after the specified calls.

If any_order is True then the calls can be in any order, but they must all appear in mock_calls.

Example:

>>> from unittest.mock import call, Mock
>>> mock = Mock(return_value=None)
>>> mock(1)
>>> mock(2)
>>> mock(3)
>>> mock(4)
>>> calls = [call(2), call(3)]
>>> mock.assert_has_calls(calls)
>>> calls = [call(4), call(2), call(3)]
>>> mock.assert_has_calls(calls, any_order=True)

Source: https://docs.python.org/3/library/unittest.mock.html#unittest.mock.Mock.assert_has_calls


Usually, I don't care about the order of the calls, only that they happened. In that case, I combine assert_any_call with an assertion about call_count.

>>> import mock
>>> m = mock.Mock()
>>> m(1)
<Mock name='mock()' id='37578160'>
>>> m(2)
<Mock name='mock()' id='37578160'>
>>> m(3)
<Mock name='mock()' id='37578160'>
>>> m.assert_any_call(1)
>>> m.assert_any_call(2)
>>> m.assert_any_call(3)
>>> assert 3 == m.call_count
>>> m.assert_any_call(4)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "[python path]\lib\site-packages\mock.py", line 891, in assert_any_call
    '%s call not found' % expected_string
AssertionError: mock(4) call not found

I find doing it this way to be easier to read and understand than a large list of calls passed into a single method.

If you do care about order or you expect multiple identical calls, assert_has_calls might be more appropriate.

Edit

Since I posted this answer, I've rethought my approach to testing in general. I think it's worth mentioning that if your test is getting this complicated, you may be testing inappropriately or have a design problem. Mocks are designed for testing inter-object communication in an object oriented design. If your design is not objected oriented (as in more procedural or functional), the mock may be totally inappropriate. You may also have too much going on inside the method, or you might be testing internal details that are best left unmocked. I developed the strategy mentioned in this method when my code was not very object oriented, and I believe I was also testing internal details that would have been best left unmocked.


You can use the Mock.call_args_list attribute to compare parameters to previous method calls. That in conjunction with Mock.call_count attribute should give you full control.


I always have to look this one up time and time again, so here is my answer.


Asserting multiple method calls on different objects of the same class

Suppose we have a heavy duty class (which we want to mock):

In [1]: class HeavyDuty(object):
   ...:     def __init__(self):
   ...:         import time
   ...:         time.sleep(2)  # <- Spends a lot of time here
   ...:     
   ...:     def do_work(self, arg1, arg2):
   ...:         print("Called with %r and %r" % (arg1, arg2))
   ...:  

here is some code that uses two instances of the HeavyDuty class:

In [2]: def heavy_work():
   ...:     hd1 = HeavyDuty()
   ...:     hd1.do_work(13, 17)
   ...:     hd2 = HeavyDuty()
   ...:     hd2.do_work(23, 29)
   ...:    


Now, here is a test case for the heavy_work function:

In [3]: from unittest.mock import patch, call
   ...: def test_heavy_work():
   ...:     expected_calls = [call.do_work(13, 17),call.do_work(23, 29)]
   ...:     
   ...:     with patch('__main__.HeavyDuty') as MockHeavyDuty:
   ...:         heavy_work()
   ...:         MockHeavyDuty.return_value.assert_has_calls(expected_calls)
   ...:  

We are mocking the HeavyDuty class with MockHeavyDuty. To assert method calls coming from every HeavyDuty instance we have to refer to MockHeavyDuty.return_value.assert_has_calls, instead of MockHeavyDuty.assert_has_calls. In addition, in the list of expected_calls we have to specify which method name we are interested in asserting calls for. So our list is made of calls to call.do_work, as opposed to simply call.

Exercising the test case shows us it is successful:

In [4]: print(test_heavy_work())
None


If we modify the heavy_work function, the test fails and produces a helpful error message:

In [5]: def heavy_work():
   ...:     hd1 = HeavyDuty()
   ...:     hd1.do_work(113, 117)  # <- call args are different
   ...:     hd2 = HeavyDuty()
   ...:     hd2.do_work(123, 129)  # <- call args are different
   ...:     

In [6]: print(test_heavy_work())
---------------------------------------------------------------------------
(traceback omitted for clarity)

AssertionError: Calls not found.
Expected: [call.do_work(13, 17), call.do_work(23, 29)]
Actual: [call.do_work(113, 117), call.do_work(123, 129)]


Asserting multiple calls to a function

To contrast with the above, here is an example that shows how to mock multiple calls to a function:

In [7]: def work_function(arg1, arg2):
   ...:     print("Called with args %r and %r" % (arg1, arg2))

In [8]: from unittest.mock import patch, call
   ...: def test_work_function():
   ...:     expected_calls = [call(13, 17), call(23, 29)]    
   ...:     with patch('__main__.work_function') as mock_work_function:
   ...:         work_function(13, 17)
   ...:         work_function(23, 29)
   ...:         mock_work_function.assert_has_calls(expected_calls)
   ...:    

In [9]: print(test_work_function())
None


There are two main differences. The first one is that when mocking a function we setup our expected calls using call, instead of using call.some_method. The second one is that we call assert_has_calls on mock_work_function, instead of on mock_work_function.return_value.