Completed features: - Created Dify dataset (Dify_test0102) with 2 processed documents - Linked test0102 project with Dify dataset ID - Extended intent detection to recognize query_protocol intent - Implemented queryDifyKnowledge method (semantic search Top 5) - Integrated hybrid retrieval (REDCap data + Dify documents) - Fixed AI hallucination bugs (intent detection + API field path) - Developed debugging scripts - Completed end-to-end testing (5 scenarios passed) - Generated comprehensive documentation (600+ lines) - Updated development plans and module status Technical highlights: - Single project single knowledge base architecture - Smart routing based on user intent - Prevent AI hallucination by injecting real data/documents - Session memory for multi-turn conversations - Reused LLMFactory for DeepSeek-V3 integration Bug fixes: - Fixed intent detection missing keywords - Fixed Dify API response field path error Testing: All scenarios verified in WeChat production environment Status: Fully tested and deployed
83 lines
663 B
Plaintext
83 lines
663 B
Plaintext
# Node.js
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node_modules
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npm-debug.log
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yarn-error.log
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.npm
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.yarn
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# 开发文件
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.env
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.env.*
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*.local
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# 构建产物(Dockerfile 中会重新生成)
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dist
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# 测试文件
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test
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tests
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*.test.ts
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*.test.tsx
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*.spec.ts
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*.spec.tsx
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coverage
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.nyc_output
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# 文档和临时文件
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docs
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*.md
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!README.md
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.vscode
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.idea
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.DS_Store
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Thumbs.db
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# Git
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.git
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.gitignore
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.gitattributes
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# CI/CD
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.github
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.gitlab-ci.yml
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.travis.yml
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# 日志
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*.log
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logs
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# 临时文件
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temp
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tmp
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*.swp
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*.swo
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*~
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# 编辑器配置
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.editorconfig
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.prettierrc
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.eslintrc*
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# TypeScript 配置(保留 tsconfig.json,其他忽略)
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tsconfig.tsbuildinfo
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# Vite
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.vite
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vite.config.*.timestamp-*
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