In our journey through isolating dependencies with test doubles, we've explored dummies, stubs, and spies. This lesson focuses on mocks, which are powerful test doubles capable of simulating external dependencies in software tests. You may have noticed in previous lessons how observing real implementations can be messy. Mocks can mimic the behavior of complex systems, allowing us to test code in isolation without relying on real and sometimes unpredictable systems like databases or web services.

Let's revisit the TDD workflow:

• Red: Write a failing test.
• Green: Write the minimum code to pass the test.
• Refactor: Improve the code structure without changing its behavior.

We'll demonstrate these principles using mocks, helping you to effectively isolate and test your application logic in C++.

Mocks are indispensable in TDD because they allow you to test your code independently of the parts of the system you don't control. For instance, when writing tests for a PricingService, you don't want tests to fail because an external currency conversion API goes down or changes unexpectedly. Mocks provide a controlled environment where you can simulate various conditions and responses as well as validate the calls.

Mocks, unlike spies, fully simulate the dependencies rather than simply observing their behavior. A mock creates a controlled substitute for a dependency, so the actual code or functionality isn’t executed. For instance, if a function interacts with an external API, a mock can simulate different responses from that API without making a network request.

Let's dive into mocking with Google Mock. We'll start with the basics: how to mock a class and its methods.

Consider the ExchangeRateService, which fetches exchange rates from an API. In testing the PricingService, we need to mock this service to ensure our tests don't rely on actual API responses.

Here's a simple way to mock with Google Mock:

In this setup:

• We define a MockExchangeRateService derived from IExchangeRateService using Google Mock. This mock object allows control over returned values and behavior without implementing the actual logic.
• EXPECT_CALL() is used to simulate a method that returns a predefined value when called, similar to how setup is used in Moq.

Let's follow the TDD approach with our PricingService example.

First, we write our test (the Red phase):

If we run this test without implementing PricingService, it will fail.

For the Green phase, we implement just enough code to make the test pass:

Now the test passes, confirming that our implementation works as expected. This demonstrates the core TDD cycle: write a failing test, implement code to make it pass, and then optionally refactor.

Mocks aren't limited to simple returns; they can simulate complex interactions, handle exceptions, or even return different values based on input:

This flexibility allows for comprehensive testing of edge cases and alternative paths, ensuring your application handles real-world scenarios robustly.

In this lesson, we explored the power of mocks within the TDD framework using C++, Google Test, and Google Mock. By isolating dependencies using mocks, we can ensure our tests are reliable and focused on our application's logic:

• Red: Begin with a failing test to clarify the functionality you're developing.
• Green: Implement the minimum necessary code using mocks to pass the test.
• Refactor: Clean and refine code without changing its behavior.

You're now ready to enter the practice exercises, where you'll apply these concepts to further solidify your understanding. By mastering these skills, you're well on your way to creating more robust and scalable applications. Keep practicing, and congratulations on reaching this point in the course!