HaHafeng
dfc472810b
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
63 lines
374 B
Plaintext
63 lines
374 B
Plaintext
# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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venv/
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env/
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ENV/
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.venv
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# 测试
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.pytest_cache/
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.coverage
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htmlcov/
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*.log
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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# 文档
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*.md
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docs/
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# Git
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.git/
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.gitignore
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# 环境变量
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.env
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.env.local
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# 临时文件
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*.tmp
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temp/
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tmp/
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uploads/
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# 模型缓存 (避免打包Nougat模型)
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.cache/
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models/
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*.pth
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*.pt
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*.onnx
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