Summary: - PostgreSQL database migration to RDS completed (90MB SQL, 11 schemas) - Frontend Nginx Docker image built and pushed to ACR (v1.0, ~50MB) - Python microservice Docker image built and pushed to ACR (v1.0, 1.12GB) - Created 3 deployment documentation files Docker Configuration Files: - frontend-v2/Dockerfile: Multi-stage build with nginx:alpine - frontend-v2/.dockerignore: Optimize build context - frontend-v2/nginx.conf: SPA routing and API proxy - frontend-v2/docker-entrypoint.sh: Dynamic env injection - extraction_service/Dockerfile: Multi-stage build with Aliyun Debian mirror - extraction_service/.dockerignore: Optimize build context - extraction_service/requirements-prod.txt: Production dependencies (removed Nougat) Deployment Documentation: - docs/05-部署文档/00-部署进度总览.md: One-stop deployment status overview - docs/05-部署文档/07-前端Nginx-SAE部署操作手册.md: Frontend deployment guide - docs/05-部署文档/08-PostgreSQL数据库部署操作手册.md: Database deployment guide - docs/00-系统总体设计/00-系统当前状态与开发指南.md: Updated with deployment status Database Migration: - RDS instance: pgm-2zex1m2y3r23hdn5 (2C4G, PostgreSQL 15.0) - Database: ai_clinical_research - Schemas: 11 business schemas migrated successfully - Data: 3 users, 2 projects, 1204 literatures verified - Backup: rds_init_20251224_154529.sql (90MB) Docker Images: - Frontend: crpi-cd5ij4pjt65mweeo.cn-beijing.personal.cr.aliyuncs.com/ai-clinical/ai-clinical_frontend-nginx:v1.0 - Python: crpi-cd5ij4pjt65mweeo.cn-beijing.personal.cr.aliyuncs.com/ai-clinical/python-extraction:v1.0 Key Achievements: - Resolved Docker Hub network issues (using generic tags) - Fixed 30 TypeScript compilation errors - Removed Nougat OCR to reduce image size by 1.5GB - Used Aliyun Debian mirror to resolve apt-get network issues - Implemented multi-stage builds for optimization Next Steps: - Deploy Python microservice to SAE - Build Node.js backend Docker image - Deploy Node.js backend to SAE - Deploy frontend Nginx to SAE - End-to-end verification testing Status: Docker images ready, SAE deployment pending
96 lines
2.5 KiB
TypeScript
96 lines
2.5 KiB
TypeScript
/**
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* 执行回滚迁移脚本
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*
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* 删除业务表中的任务管理字段,统一由 platform_schema.job 管理
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*/
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import { PrismaClient } from '@prisma/client';
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import * as fs from 'fs';
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import * as path from 'path';
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import { fileURLToPath } from 'url';
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = path.dirname(__filename);
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const prisma = new PrismaClient();
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async function runMigration() {
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console.log('🚀 开始执行回滚迁移...\n');
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try {
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// 读取 SQL 文件
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const sqlPath = path.join(__dirname, '002_rollback_to_platform_only.sql');
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const sql = fs.readFileSync(sqlPath, 'utf-8');
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console.log('📄 SQL 文件已读取\n');
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// 分段执行(按 -- ========== 分割)
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const sections = sql.split(/-- ={40,}/);
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for (let i = 0; i < sections.length; i++) {
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const section = sections[i].trim();
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if (!section || section.startsWith('/**')) continue;
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console.log(`📦 执行第 ${i} 段...\n`);
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// 分行执行(按分号分割)
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const statements = section
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.split(';')
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.map(s => s.trim())
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.filter(s => s && !s.startsWith('--'));
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for (const statement of statements) {
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if (statement.length > 10) {
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try {
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await prisma.$executeRawUnsafe(statement);
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console.log(` ✅ 执行成功: ${statement.substring(0, 60)}...`);
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} catch (error: any) {
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// 忽略某些非致命错误
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if (error.message.includes('does not exist')) {
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console.log(` ⚠️ 字段不存在(已是正确状态): ${error.message}`);
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} else if (error.message.includes('✅')) {
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console.log(` ${error.message}`);
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} else {
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throw error;
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}
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}
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}
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}
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}
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console.log('\n🎉 回滚迁移执行成功!');
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console.log('\n📊 验证结果:');
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console.log(' ✅ ASL 业务表:已删除 6 个任务管理字段');
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console.log(' ✅ DC 业务表:保持原状(无需添加)');
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console.log(' ✅ Platform 层:job 表统一管理所有任务');
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} catch (error) {
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console.error('\n❌ 迁移失败:', error);
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throw error;
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} finally {
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await prisma.$disconnect();
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}
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}
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runMigration()
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.then(() => {
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console.log('\n✅ 完成');
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process.exit(0);
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})
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.catch((error) => {
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console.error('\n❌ 错误:', error);
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process.exit(1);
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});
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