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
80 lines
1.1 KiB
Batchfile
80 lines
1.1 KiB
Batchfile
@echo off
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REM Windows批处理脚本 - 运行缺失值处理功能测试
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echo ========================================
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echo 缺失值处理功能 - 自动化测试
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echo ========================================
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echo.
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REM 检查Python是否安装
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python --version >nul 2>&1
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if %errorlevel% neq 0 (
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echo [错误] Python未安装或不在PATH中
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pause
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exit /b 1
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)
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echo [1/3] 检查Python服务状态...
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curl -s http://localhost:8001/health >nul 2>&1
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if %errorlevel% neq 0 (
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echo [警告] Python服务未运行，请先启动服务：
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echo cd extraction_service
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echo python main.py
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echo.
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pause
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exit /b 1
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)
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echo [OK] Python服务运行正常
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echo.
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echo [2/3] 检查依赖...
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python -c "import pandas, numpy, requests" >nul 2>&1
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if %errorlevel% neq 0 (
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echo [警告] 缺少依赖，正在安装...
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pip install pandas numpy requests
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)
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echo [OK] 依赖检查完成
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echo.
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echo [3/3] 运行测试...
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echo.
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python test_fillna_operations.py
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echo.
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echo ========================================
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echo 测试完成
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echo ========================================
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pause
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