Inbuilt Testing Framework

The API Maker Testing Framework is a built-in system that allows you to create, run, and manage test cases directly inside the platform. It’s designed to help developers validate APIs, custom logic, and workflows before deploying to production, ensuring reliability and stability.

Unlike the Testing Environment (covered separately), the framework is focused on test case creation, mocking, and validation: giving teams full control over verifying how their Custom APIs and utilities behave under different conditions.

Why Use the Testing Framework?

• No setup required: Test cases run directly in API Maker, no external tools needed.
• Fast feedback: Catch errors instantly while developing APIs.
• Mock support: Simulate databases, APIs, or third-party services.
• Regression safety: Ensure that new updates don’t break existing features.
• Collaboration ready: Document and share test cases across your team.

Creating Test Cases

API Maker makes building test cases easy and fast. The process is straightforward and ready to work with your dashboard:

1. Set the Basics: Give your test a name, choose its type(Custom API or Utilities), and link it to the target API or function (like a custom Hello World).
2. Add Mocks: Quickly simulate responses by defining arguments, return types, or mock database/API calls, with no external setup needed.
3. Document Clearly: Write a short note on what the test checks, the expected result, and any assumptions.
4. Run & Review: Execute instantly, see results side by side, and refine your tests as your APIs grow.

Organizing with Test Suites

Once you’ve built several test cases, you can group them into test suites. A test suite is like a collection of related tests that run together to verify a complete feature or workflow.

For example:

• A test case for creating a user.
• A test case for logging in.
• A test case for updating the profile.

Grouped into one Test Suite, they ensure the whole process works smoothly from start to finish.

Best Practices

• Use Mocks: For external or unavailable services as well as simulating certain services.
• Keep test cases small and focused: On one behavior at a time.
• Maintain clear naming conventions: For easy tracking.
• Run tests regularly: After schema changes or new deployments.
• Document assumptions and expected outcomes: For better team collaboration.

Benefits of the Testing Framework

• Catch issues: Before they reach production.
• Save time: By automating repetitive validation.
• Validate: Both simple and complex workflows.
• Create: A repeatable testing pipeline within API Maker.
• Improve quality: And release confidence.

The API Maker Testing Framework makes it easy to design, run, and maintain automated test cases within your project. With support for mocks, reusable test cases, and clear documentation, it helps teams reduce bugs, validate APIs faster, and ensure smooth releases. Whether you’re testing a simple endpoint or a complex workflow, the framework gives you a reliable way to verify correctness without leaving the platform.

FAQs

Q1: How is the Testing Framework different from the Testing Environment?

The Testing Framework is about creating and running structured test cases. The Testing Environment is a broader feature for staging and simulating real-world conditions. Both work together but serve different purposes.

Q2: Can I test custom APIs with the framework?

Yes. You can write test cases for any custom API, define input arguments, and check the expected output.

Q3: Do I need external tools like Postman or Jest?

No. The Testing Framework is fully integrated into API Maker, so you don’t need additional tools unless you want to extend testing outside the platform.

Q4: Can I mock external services or database queries?

Yes. The framework allows you to create mock responses for APIs and database queries, which is useful when the actual service is unavailable or when you want to simulate specific scenarios.

Q5: Is this suitable for regression testing?

Absolutely. Once created, test cases can be re-run any time, making them ideal for regression checks after updates.