Summary: - Created Node.js backend Docker image build guide - Updated deployment progress overview with backend status - Updated system status documentation Backend build achievements: - Fixed 200+ TypeScript compilation errors (200+ to 0) - Completed Prisma reverse sync (32 models from RDS) - Manually added 30+ Prisma relation fields - Successfully built Docker image (838MB) - Pushed image to ACR (v1.0 + latest tags) Documentation updates: - Added 10-Node.js后端-Docker镜像构建手册.md - Updated 00-部署进度总览.md with backend deployment status - Updated 00-系统当前状态与开发指南.md with latest progress - Fixed date format (2024 -> 2025) Next steps: - Deploy Node.js backend to SAE - Configure environment variables - Test end-to-end functionality Status: Backend Docker image ready for SAE deployment
64 lines
1.1 KiB
Bash
64 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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