Question 1

How to set up parallel testing with testcase in Go?

Accepted Answer

testcase automatically handles parallel testing safely by storing variables per test execution. Use testcase.NewSpec and leverage its built-in mechanisms to prevent race conditions, as detailed in the Safe Parallel Testing feature.

Question 2

testcase vs ginkgo for BDD testing in Go?

Accepted Answer

testcase is lightweight and dependency-free with a focus on nested, reusable components, while ginkgo is more feature-rich with built-in reporters and matchers. Choose testcase for disciplined, modular test suites, and ginkgo for broader BDD ecosystem support.

Question 3

Does testcase support mocking in Go tests?

Accepted Answer

testcase itself doesn't include mocking libraries; it encourages using interfaces and dependency injection. You'll need to implement mocks manually or use external packages, as it prioritizes a dependency-free design.

Question 4

How to generate random test data using testcase?

Accepted Answer

Use the tc.Random methods, such as tc.Random.String(), within test cases. The framework provides repeatable pseudo-random fixtures to ensure consistent inputs across test runs, as mentioned in the Features.

Question 5

Can I use testcase for integration tests?

Accepted Answer

Yes, testcase is designed to convert unit tests into E2E tests, making it suitable for integration testing in CI/CD pipelines. This is highlighted in the DDD-based testing composition feature for reusable components.

Question 6

What are the best practices for nesting tests with testcase?

Accepted Answer

Structure tests using testcase.NewSpec with nested Describe/When/Then blocks to visualize complexity and reuse arrangements. Refer to the nested testing style guide in the documentation for concrete examples and discipline tips.

Question 7

Is testcase stable for production use?

Accepted Answer

Yes, the README states testcase is considered stable, used in production, and follows rolling release conventions with no planned breaking changes to the API, ensuring reliability for long-term projects.

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