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A minimal Python mocking library
Most Python projects use mock, which became unittest.mock in Python 3. So why write Sleuth?
Firstly, Sleuth has a different take on mocking than Mock does which can essentially be summarised as "mock functions not objects". Mocking functions is an explicit, readable and predictable thing to do and leads to clean test cases and loosely-coupled code.
Secondly, Sleuth aims to have a simple and expressive API. With Mock sometimes it's difficult to tell what's going on and which arguments you need to pass to mock things as you need. Sleuth breaks mocking functions into a set of clearly defined use cases:
Watch calls with sleuth.watch
with sleuth.watch("some.path.to.thing") as mock:
result = thing(1, a=2)
self.assertTrue(mock.called)
self.assertEqual(1, mock.call_count)
self.assertEqual([((1,), {a:2})], mock.calls)
self.assertEqual(result, mock.call_returns[0])
Replace functions with sleuth.switch...
with sleuth.switch("some.path.to.thing", lambda x: 'something') as mock:
thing(1, a=2)
self.assertTrue(mock.called)
self.assertTrue(['something'], mock.call_returns)
Cause functions to throw exceptions with sleuth.detonate:
with sleuth.detonate("some.path.to.thing", exception=ValueError):
try:
thing(1, a=2)
except ValueError:
pass
Or...
with sleuth.detonate("some.path.to.thing", exception=ValueError("Some custom thingy")):
try:
thing(1, a=2)
except ValueError:
pass
Replace functions with a specific return value with sleuth.fake
with sleuth.fake("some.path.to.thing", return_value=1) as mock:
thing(1, a=2)
self.assertEqual([1], mock.call_returns)
FAQs
A minimal Python mocking library
We found that sleuth-mock demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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