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Back to the lesson: Topic 11.4 — Mocks, Fakes and Patching
Python · Example 2 of 4

patch: the wrong place and the right place

report.py copied the name fetch_rate with from rates import fetch_rate. Try patching rates.fetch_rate in the second block and see what happens.

A mock or fake is a stand-in for something slow, unsafe or unpredictable (the network, the clock, a database, an AI model), so a test checks only your own code. unittest.mock provides Mock, MagicMock and patch for this.

Change the code and press Run (Ctrl+Enter). Predict what will happen first, then break it on purpose and read what changes. Your edits are saved and match the lesson page.

Ready for more? This phase has 6 hands-on exercises with automatic checks.

Practice questions

Write the code in the editor, run it, then open the model answer to compare.

01

Write a FakeClock class with a now() method that returns a time you set, and a function greeting(clock) that returns "Good morning" before 12 and "Good afternoon" otherwise. Test both cases.

02

Use Mock(side_effect=[...]) to test a fetch_with_retry(client) function that retries once if the first call raises ConnectionError.

03

Use patch.object to replace a method on a class for one with block and show that the original returns afterwards.

Explain it without notes

01

What is the difference between a stub, a fake and a mock?

02

Where should you patch: where a name is defined or where it is used? Explain with an example.

03

How do you test a function that calls an AI model without calling the model?

04

What is over-mocking and how do you avoid it?

05

What does create_autospec give you that a plain Mock does not?

patch: the wrong place and the right place
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Expected output

patching rates.fetch_rate did not help: no network in tests
patched report.fetch_rate -> 10.0
after the with block: no network in tests