Files
AIclinicalresearch/tests/run_tests.sh
HaHafeng decff0bb1f docs(deploy): Complete full system deployment to Aliyun SAE
Summary:
- Successfully deployed complete system to Aliyun SAE (2025-12-25)
- All services running: Python microservice + Node.js backend + Frontend Nginx + CLB
- Public access available at http://8.140.53.236/

Major Achievements:
1. Python microservice deployed (v1.0, internal IP: 172.17.173.66:8000)
2. Node.js backend deployed (v1.3, internal IP: 172.17.173.73:3001)
   - Fixed 4 critical issues: bash path, config directory, pino-pretty, ES Module
3. Frontend Nginx deployed (v1.0, internal IP: 172.17.173.72:80)
4. CLB load balancer configured (public IP: 8.140.53.236)

New Documentation (9 docs):
- 11-Node.js backend SAE deployment config checklist (21 env vars)
- 12-Node.js backend SAE deployment operation manual
- 13-Node.js backend image fix record (config directory)
- 14-Node.js backend pino-pretty fix
- 15-Node.js backend deployment success summary
- 16-Frontend Nginx deployment success summary
- 17-Complete deployment practical manual 2025 edition (1800 lines)
- 18-Deployment documentation usage guide
- 19-Daily update quick operation manual (670 lines)

Key Fixes:
- Environment variable name correction: EXTRACTION_SERVICE_URL (not PYTHON_SERVICE_URL)
- Dockerfile fix: added COPY config ./config
- Logger configuration: conditional pino-pretty for dev only
- Health check fix: ES Module compatibility (require -> import)

Updated Files:
- System status document updated with full deployment info
- Deployment progress overview updated with latest IPs
- All 3 Docker services' Dockerfiles and configs refined

Verification:
- All health checks passed
- Tool C 7 features working correctly
- Literature screening module functional
- Response time < 1 second

BREAKING CHANGE: Node.js backend internal IP changed from 172.17.173.71 to 172.17.173.73

Closes #deployment-milestone
2025-12-25 21:24:37 +08:00

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#!/bin/bash
# Linux/Mac脚本 - 运行缺失值处理功能测试
echo "========================================"
echo "缺失值处理功能 - 自动化测试"
echo "========================================"
echo
# 检查Python是否安装
if ! command -v python3 &> /dev/null; then
echo "[错误] Python未安装"
exit 1
fi
echo "[1/3] 检查Python服务状态..."
if ! curl -s http://localhost:8001/health > /dev/null 2>&1; then
echo "[警告] Python服务未运行请先启动服务"
echo " cd extraction_service"
echo " python main.py"
echo
exit 1
fi
echo "[OK] Python服务运行正常"
echo
echo "[2/3] 检查依赖..."
python3 -c "import pandas, numpy, requests" 2> /dev/null
if [ $? -ne 0 ]; then
echo "[警告] 缺少依赖,正在安装..."
pip3 install pandas numpy requests
fi
echo "[OK] 依赖检查完成"
echo
echo "[3/3] 运行测试..."
echo
python3 test_fillna_operations.py
echo
echo "========================================"
echo "测试完成"
echo "========================================"