HaHafeng
dfc0fe0b9a
Summary: - Migrate PostgreSQL to pgvector/pgvector:pg15 Docker image - Successfully install and verify pgvector 0.8.1 extension - Create comprehensive Dify-to-pgvector migration plan - Update PKB module documentation with pgvector status - Update system documentation with pgvector integration Key changes: - docker-compose.yml: Switch to pgvector/pgvector:pg15 image - Add EkbDocument and EkbChunk data model design - Design R-C-R-G hybrid retrieval architecture - Add clinical data JSONB fields (pico, studyDesign, regimen, safety, criteria, endpoints) - Create detailed 10-day implementation roadmap Documentation updates: - PKB module status: pgvector RAG infrastructure ready - System status: pgvector 0.8.1 integrated - New: Dify replacement development plan (01-Dify替换为pgvector开发计划.md) - New: Enterprise medical knowledge base solution V2 Tested: PostgreSQL with pgvector verified, frontend and backend functionality confirmed
99 lines
1.1 KiB
Bash
99 lines
1.1 KiB
Bash
#!/bin/bash
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# Linux/Mac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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# 检查Python是否安装
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if ! command -v python3 &> /dev/null; then
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echo "[错误] Python未安装"
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exit 1
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fi
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echo "[1/3] 检查Python服务状态..."
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if ! curl -s http://localhost:8001/health > /dev/null 2>&1; then
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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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exit 1
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fi
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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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python3 -c "import pandas, numpy, requests" 2> /dev/null
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if [ $? -ne 0 ]; then
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echo "[警告] 缺少依赖，正在安装..."
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pip3 install pandas numpy requests
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fi
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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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python3 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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