Write Comprehensive Unit Tests to Achieve 100% Code Coverage

[ajaynegi45]

Problem Statement:

Ensuring that our HTTP server is fully reliable and scalable requires having a solid suite of tests that cover every possible edge case, flow, and functionality. Currently, our codebase lacks detailed unit tests, and without these, we risk introducing undetected bugs and regressions when we extend or modify the code. In order to move towards an industry-ready, highly scalable, and secure server, we need to ensure 100% code coverage by writing thorough and comprehensive unit tests.

Why This Matters:

• Robustness: Unit tests are crucial to making sure that every component of the server functions as intended, even as the code evolves.
• CI/CD: High-quality tests will make our Continuous Integration/Continuous Deployment (CI/CD) pipeline more efficient, catching potential issues before they reach production.
• Developer Confidence: New contributors can make changes without fear of breaking existing functionality, knowing that the unit tests will catch unexpected behavior.

Your Contribution:

We’re looking for contributors to help write detailed unit tests that cover 100% of the codebase. Each critical path, error state, and edge case needs to be tested. These tests will not only improve the stability and scalability of the server but also prepare us for advanced implementations like asynchronous I/O, better security features, and future enhancements.

Guidelines for Contribution:

1. Implementation Plan: If you're interested in working on this issue, please comment below with a detailed plan on how you intend to write the tests. Your plan should include:

   • The specific classes/modules you’ll be testing.
   • A list of all edge cases, success cases, and failure cases you plan to cover.
   • How you will handle mocking/stubbing (if needed).
   • Tools or libraries you will use for testing (e.g., JUnit, Mockito, etc.).
   • How you’ll measure code coverage (tools like JaCoCo or IntelliJ’s built-in coverage tools are acceptable).

2. Read Project Files:

   • Before starting, make sure to thoroughly read the README.md file to understand the project's architecture, goals, and purpose. This will give you a clear understanding of our mission and the functionality you’ll be testing.
   • Review the CONTRIBUTING.md file carefully to understand how to properly contribute to this repository. It includes essential guidelines that make contributing smoother, especially for newcomers.

3. Unit Test Requirements:

   • Write unit tests for every possible scenario — no edge case is too small.
   • Ensure tests are written for:
     • All public methods (positive and negative test cases).
     • Error handling (e.g., invalid HTTP methods, malformed requests).
     • Boundary conditions and edge cases (e.g., handling large requests, incorrect request headers).
     • Exception flows (such as handling BadHttpVersionException, HttpParsingException, etc.).
   • Strive for clear, descriptive test names that explain what is being tested and why.

4. Testing Framework: We prefer using:

   • JUnit: For basic unit testing.
   • Mockito: For mocking dependencies where needed.
   • JaCoCo: For tracking code coverage. Ensure that after running tests, the coverage is close to or at 100%.

Next Steps:

1. Comment with your plan before starting any work. We want to ensure that everyone’s approach aligns with our project’s goals.
2. Once your plan is approved, you can start working on the implementation.

Note: All contributions should be in accordance with our CONTRIBUTING.md guidelines. We also encourage contributors to break down their work into small, manageable pull requests. This allows for easier review and testing.

Thank you for helping us make this project stronger, more reliable, and ready for real-world, high-demand environments! We look forward to your contributions and can't wait to see the innovative testing approaches you bring to the table. 😊

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Additional Tips:

• Test Granularity: Break down each test into small, focused cases. Don’t try to test multiple things in one test method.
• Mock External Dependencies: Use mocks where required to simulate external dependencies or behaviors, ensuring the tests run efficiently.
• Document Your Tests: Add comments explaining the purpose of more complex tests. This helps future contributors understand the reasoning behind your test cases.

Ready to Contribute? 🎉 Let’s make this server bulletproof with robust testing!