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Add comprehensive test suite and automated CI/CD pipeline #596
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Co-authored-by: bestony <13283837+bestony@users.noreply.github.com>
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帮我加入自动化的 CI 测试 |
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@copilot 帮我加入自动化的 CI 测试 |
Co-authored-by: bestony <13283837+bestony@users.noreply.github.com>
I've added comprehensive automated CI testing with GitHub Actions. The CI pipeline includes: 🚀 Main CI Workflow: Tests on Node.js 18 & 20, builds project, and runs all 23 tests The workflows will automatically run on pushes and pull requests to main/master branches. All tests pass and builds succeed. Commit: 4872263 |
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/gemini summary |
Summary of ChangesThis pull request significantly enhances the Logoly project by integrating a robust testing framework and an automated CI/CD pipeline. The changes aim to ensure code quality, prevent regressions, and bolster security through comprehensive unit and component tests, alongside continuous integration workflows that include security scanning and code coverage reporting. This foundational work establishes a more reliable and maintainable development process for the project. Highlights
Changelog
Ignored Files
Activity
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/gemini 用中文帮我总结一下这个变更,并给一些说明 |
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@gemini-code-assist 你觉得这个改动怎么样? |
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好的, 变更总结这个拉取请求通过引入强大的测试框架和自动化的 CI/CD 管道,显著增强了 Logoly 项目。这些变更旨在通过全面的单元测试和组件测试,以及包含安全扫描和代码覆盖率报告的持续集成工作流,确保代码质量、防止回归并加强安全性。这项基础性工作为项目建立了更可靠和可维护的开发流程。 亮点
总的来说,这些改进将大大提高项目的稳定性、安全性和开发效率。 |
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你好 我认为这个改动非常棒!它为 Logoly 项目带来了巨大的进步,通过引入全面的测试套件和自动化的 CI/CD 管道,显著提升了项目的质量、稳定性和安全性。 主要优点:
展望未来:目前测试覆盖率已达到 33.44%,并且存储模块覆盖率达到了 100%,这是一个很好的开始。未来可以考虑逐步扩展测试范围,覆盖更多组件和业务逻辑,以进一步提高整体代码的健壮性。 总而言之,这是一次非常积极和重要的更新,为 Logoly 项目的长期健康发展奠定了坚实的基础。干得好! |
This PR adds complete testing infrastructure and automated CI/CD pipeline to the Logoly project, which previously had no tests or continuous integration.
Testing Infrastructure
Test Suite (23 tests)
Coverage Reporting
CI/CD Pipeline
GitHub Actions Workflows
Security Features
Usage
Documentation
Complete setup documentation provided in
CI-README.mdandtests-README.mdcovering test structure, CI configuration, and development workflows.All workflows are configured to run automatically on pushes and pull requests, ensuring code quality and preventing regressions.
💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.