Welcome to the first lesson of the course Automating API Tests with C++. In this course, we will focus on the critical aspect of API testing, specifically from the perspective of an API client, ensuring that the API behaves as expected from the consumer's end.

As software systems become more interconnected through APIs, the reliability and stability of these interfaces have a direct impact on the client experience. By testing APIs, clients can verify that they receive accurate, consistent data and that the API performs as intended in various circumstances.

In this lesson, we will use httplib for making HTTP requests and Google Test for writing and running tests. These tools will equip you to efficiently ensure the APIs you rely on are dependable, fostering greater confidence and trust in software integrations.

Google Test, also known as gtest, is a widely-used testing framework for C++ that facilitates the creation of simple and complex test cases. It is particularly useful for unit testing and can be adapted for API testing. Google Test is known for its clear syntax, comprehensive assertion library, and support for test fixtures and parameterized tests.

Here’s how Google Test works:

• Test Discovery: Google Test automatically identifies test cases and test suites within your code. Test cases are defined using the TEST macro, and Google Test will execute any function that follows this pattern.

• Running Tests: Once test cases are defined, Google Test runs them and provides a detailed report of the results. It captures any standard output and exceptions raised during test execution, displaying errors and their context if a test fails.

• Assertions: Google Test offers a rich set of assertions to verify conditions in your tests. These assertions provide detailed error messages when a test fails, making it easier to diagnose issues.

• Fixtures: Google Test supports test setup and teardown activities through test fixtures. Fixtures allow you to define reusable setup code that prepares the environment for your tests, ensuring consistency and reducing redundancy.

By using Google Test, developers can efficiently verify that their APIs and applications behave as expected, ensuring quality and reliability in software projects.

The Arrange-Act-Assert (AAA) pattern is a widely used pattern in software testing that helps structure your test cases in a clear, logical, and consistent manner. This pattern makes tests more readable and maintainable by dividing them into three distinct phases:

1. Arrange: This phase involves setting up all necessary preconditions and inputs required for your test. In the context of API testing, this could involve defining any required data setup.

2. Act: In this phase, you perform the action that triggers the behavior you want to test. For API tests, this usually involves making a request to the API endpoint you've set up.

3. Assert: The final phase is where you verify that the outcome of the "Act" phase matches your expectations. This is done using assertions to check the response from the API, ensuring it behaves as expected.

Using the AAA pattern helps keep your tests organized and ensures that each test follows a consistent structure. This makes it easier to understand and maintain your test cases over time. Let's apply the AAA pattern in the next section by creating a basic test with Google Test.

In the example below, we're preparing to test an API endpoint that retrieves all todo items. We will use httplib to handle HTTP requests and Google Test to structure our test.

In this code block, we start by defining a constant BASE_URL, which serves as the root address for our API. This base URL is essential as it provides a consistent starting point for constructing the full URL for various API endpoints. In this example, we append "/todos" to the BASE_URL to form the complete URL for the "todos" endpoint, which is the specific resource we want to test.

We then create an httplib::Client object, which will be used to make HTTP requests to the API. This setup forms the "Arrange" step of the Arrange-Act-Assert pattern, ensuring that the test environment is correctly configured to interact with the API.

The next stage in the AAA pattern is "Act." This is where you perform the action that triggers the behavior you want to test. In API testing, the action usually involves making a request to the API endpoint you've prepared.

Continuing with our example, here is how you would use httplib to fetch data:

This code sends a GET request to the "/todos" endpoint using the httplib::Client object. The response is stored in res, which will be used in the final phase of the pattern, where we will verify that it meets our expectations.

In the "Assert" stage, you verify that the result of the "Act" stage is what you expected. You’ll use assertions to check the behavior of the API, ensuring it performs reliably every time. Let's look at how we can assert the correctness of our response:

Here, we first check that the response is not null. Then, we assert that the HTTP status code is 200, indicating a successful request. Finally, we assert that the response body is not empty. These assertions confirm that the API works as expected and returns data in the correct format.

A successful test run will produce an output similar to this:

• [==========] indicates the start and end of the test session, showing the total number of tests and test suites.
• [----------] marks the setup and teardown of the global test environment and individual test suites.
• [ RUN ] shows the start of a specific test case.
• [ OK ] indicates that the test case passed, along with the time it took to run.
• [ PASSED ] provides a summary of the number of tests that passed.

This output confirms that the test for the "GetAllTodos" API endpoint was executed successfully and passed all assertions. If any test fails, Google Test will provide detailed information about the failure, including the specific assertion that did not meet expectations.

In this lesson, we discussed the importance of testing APIs and introduced httplib and Google Test, tools that simplify the process of automating these tests in C++. We explored the Arrange-Act-Assert pattern, which helps structure our tests logically. By following this pattern, we successfully created and executed a basic test using Google Test.

Remember, the arrange phase sets up your test, the act phase conducts the actions, and the assert phase verifies the outcomes. You now have the foundational knowledge required to advance into more complex testing scenarios. As you move into the practice exercises, I encourage you to experiment and apply what you’ve learned. Get ready to deepen your understanding through hands-on experience.