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
67 lines
729 B
PowerShell
67 lines
729 B
PowerShell
# DC模块数据库同步脚本
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Write-Host "====================================" -ForegroundColor Cyan
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Write-Host "DC模块数据库表同步" -ForegroundColor Cyan
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Write-Host "====================================" -ForegroundColor Cyan
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Write-Host ""
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Set-Location $PSScriptRoot
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Write-Host "1️⃣ 生成Prisma Client..." -ForegroundColor Yellow
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npm run prisma:generate
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Write-Host ""
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Write-Host "2️⃣ 推送Schema到数据库..." -ForegroundColor Yellow
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npx prisma db push --accept-data-loss
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Write-Host ""
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Write-Host "3️⃣ 检查表是否创建成功..." -ForegroundColor Yellow
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npx tsx check-dc-database.ts
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Write-Host ""
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Write-Host "✅ 完成!" -ForegroundColor Green
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