Speaker: Adam Dangoor (@adamdangoor)
Slides: TODO
Video: https://www.youtube.com/watch?v=3H0d9lp05vA
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Testing against a live API causes problems:
- Slow.
- Costly.
- ...
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Can we test that our code is calling the API correctly, even when the API is down?
- Yes, with mocks.
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pip install requests-mock -
pytest's fixture context managers are useful here.
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Problems with mocking:
- Human error.
- API changes lead to outdated mocks.
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Writing a mock:
- A verified fake is a mock that can pass a test suite that can be run against either a real API.
- Parameterising tests (see slides for details).
- The tests now tell us when the API has breaking changes.
- Use a scheduled test suite to test this periodically.
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Shipping a verified fake will add value to your software.