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
68 lines
1.1 KiB
Batchfile
68 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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