
Worked on the YunaiV/ruoyi-vue-pro repository, delivering AI-powered PPT generation by integrating WendDuoDuo and Xunfei APIs, automating token management, file parsing, and content creation workflows. Enhanced backend reliability through comprehensive integration and unit testing, leveraging Java, Spring Boot, and WebClient. Developed a dedicated test suite for DouBao MCP, validating model-centric interactions and user data retrieval to strengthen release confidence. Addressed data integrity by implementing tenant package name uniqueness validation, introducing error handling and MyBatis-based checks. Focused on maintainable, scalable solutions, the work emphasized robust API integration, thorough testing, and backend refactoring to support evolving business automation requirements.
April 2025: Delivered the DouBao MCP integration test suite for YunaiV/ruoyi-vue-pro, introducing a ChatClient-based test harness to exercise DouBao model interactions and UserService tools. The suite validates tool discovery and user data retrieval, strengthening end-to-end MCP reliability and reducing risk for MCP-related releases.
April 2025: Delivered the DouBao MCP integration test suite for YunaiV/ruoyi-vue-pro, introducing a ChatClient-based test harness to exercise DouBao model interactions and UserService tools. The suite validates tool discovery and user data retrieval, strengthening end-to-end MCP reliability and reducing risk for MCP-related releases.
For 2025-03, YunaiV/ruoyi-vue-pro focused on delivering AI-powered PPT generation capabilities through WendDuoDuo and Xunfei integrations, with automated tests and refactoring to improve maintainability. Delivered end-to-end PPT generation including token management, file parsing, outline/content generation, PPT creation and download flows, migrated to WendDuoDuo API v2, and added dedicated test coverage. Added a Xunfei PPT API client and integration to support AI-assisted PPT generation with cross-API testing. The work strengthens automation for client-facing document workflows and lays a scalable foundation for AI-driven content creation on the platform.
For 2025-03, YunaiV/ruoyi-vue-pro focused on delivering AI-powered PPT generation capabilities through WendDuoDuo and Xunfei integrations, with automated tests and refactoring to improve maintainability. Delivered end-to-end PPT generation including token management, file parsing, outline/content generation, PPT creation and download flows, migrated to WendDuoDuo API v2, and added dedicated test coverage. Added a Xunfei PPT API client and integration to support AI-assisted PPT generation with cross-API testing. The work strengthens automation for client-facing document workflows and lays a scalable foundation for AI-driven content creation on the platform.
December 2024 monthly summary for somle2005/ruoyi-vue-pro: Implemented Tenant Package Name Uniqueness Validation to prevent duplicate tenant package names, reinforcing data integrity and tenant isolation. Introduced a dedicated error code and validation checks on both create and update paths. Commit linked: 4afdb76ac1b740c5418c5fb64d95d1522051df9f (imp: 租户套餐重名校验).
December 2024 monthly summary for somle2005/ruoyi-vue-pro: Implemented Tenant Package Name Uniqueness Validation to prevent duplicate tenant package names, reinforcing data integrity and tenant isolation. Introduced a dedicated error code and validation checks on both create and update paths. Commit linked: 4afdb76ac1b740c5418c5fb64d95d1522051df9f (imp: 租户套餐重名校验).

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