What are the differences between pytest fixtures and mocks?

What are the differences between pytest fixtures and mocks?

Pytest fixtures are used to set up a known state for tests, while mocks are used to simulate objects and control their behavior.

Can you give me an example of when to use a fixture?

Sure! Use a fixture when you need to set up a database connection for multiple tests to ensure they all run with the same data.

And when would I use a mock instead?

You'd use a mock when you want to test a function that interacts with an external API without actually calling it, allowing you to simulate responses.

Are there any performance considerations between using fixtures and mocks?

Yes, fixtures can be more efficient for setup, while mocks can speed up tests by avoiding slow external calls, but overusing mocks can lead to brittle tests.

Can I use both fixtures and mocks in the same test?

Absolutely! You can use fixtures to set up the environment and mocks to simulate specific behaviors within that environment.