Intro to Python Mocks | Python tutorial
This video is an Intro to Python Mocks from unittest.mock library: what are Python mocks, why we have to use mocks, and when to do it.
How to write Python tests for functions that make a request to external API.
How to use the patch function to test Requests based functions with Python unittest.mock library.
It's a Python unittest mock tutorial for beginners.
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Timecodes:
00:00 - ideal testable function, and a unit test for it.
02:29 - example of a function with a dependency on another function.
06:02 - a test for the function with a dependency on another function. Problems that Mocks will solve.
07:48 - patch() function from unittest.mock
11:28 - an example of unit test of a function that makes a request to external API and returns a different result each time it's been called. A mock returns another mock. How to test requests.
Why Python mocks are important:
- Mocks eliminate dependency on network, database calls, calls to OS (it will speed testing)
- we get isolated unit tests,
- we can test methods that have no return value
- reduce test complexity. We don't have to write complex logic to handle behavior of methods under tests.
- don't have to wait to implement other methods.
When should you mock?
When you don't want to actually call an object
Intro to Python Mocks | Python tutorial
• Intro to Python Mocks | Python tutorial
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