Welcome to the second lesson of the course Automating API Tests with Go. In this lesson, we will build on the concepts introduced in the first lesson by enhancing our API test structure using Go’s testing package.

As API test suites grow, maintaining clarity, consistency, and efficiency becomes critical. Well-structured tests improve maintainability, readability, and scalability, ensuring that tests remain effective over time.

By the end of this lesson, you will be able to:

• Structure API tests using helper functions for reusable logic.
• Use subtests to organize related test cases.
• Leverage table-driven tests to test multiple scenarios efficiently.

In the previous lesson, we wrote a basic API test that verified the /todos endpoint. However, as we add more tests, duplicating logic—such as making HTTP requests and parsing responses—can make tests harder to maintain. Helper functions allow us to extract reusable logic.

Let's refactor our test by introducing a helper function for making API requests:

The t.Helper() function marks a function as a helper, ensuring that if a test fails inside it, the error message points to the actual test function rather than the helper itself. This improves debugging by making test failures easier to trace. Without t.Helper(), errors may appear to originate from the helper function, making it harder to identify which test actually failed. It should always be used at the beginning of helper functions that perform assertions or can cause test failures.

This refactoring reduces duplication and makes our tests cleaner and more maintainable.

Go’s testing package provides subtests, which help structure related test cases within a single test function. This is particularly useful when testing different aspects of an API response.

Subtests provide better organization and allow independent assertions within related test cases.

Table-driven tests allow us to define multiple test cases in a structured and reusable manner. This technique is ideal for verifying different API responses with varying inputs. Instead of writing separate test functions for each scenario, we define a slice of test cases and loop through them dynamically.

Here's how it works:

1. We define a slice of test cases, each containing a name, input (ID), and expected behavior.
2. We iterate over the slice, running each test case dynamically inside t.Run().
3. Each test case is isolated, allowing us to verify different scenarios with minimal repetition.

Using table-driven tests ensures we test multiple cases concisely while keeping test logic consistent and scalable. This pattern makes it easier to add new test scenarios in the future without modifying existing logic.

In this lesson, we improved our API test structure by:

• Using helper functions to eliminate redundant code.
• Organizing related tests with subtests.
• Writing table-driven tests to handle multiple scenarios effectively.

These techniques help create a scalable, maintainable, and efficient API test suite. In the next lesson, we’ll dive into mocking dependencies to test APIs in isolation. Get ready to level up your API testing skills with Go!