feat(dc): Add multi-metric transformation feature (direction 1+2)
Summary: - Implement intelligent multi-metric grouping detection algorithm - Add direction 1: timepoint-as-row, metric-as-column (analysis format) - Add direction 2: timepoint-as-column, metric-as-row (display format) - Fix column name pattern detection (FMA___ issue) - Maintain original Record ID order in output - Add full-select/clear buttons in UI - Integrate into TransformDialog with Radio selection - Update 3 documentation files Technical Details: - Python: detect_metric_groups(), apply_multi_metric_to_long(), apply_multi_metric_to_matrix() - Backend: 3 new methods in QuickActionService - Frontend: MultiMetricPanel.tsx (531 lines) - Total: ~1460 lines of new code Status: Fully tested and verified, ready for production
This commit is contained in:
@@ -93,7 +93,7 @@ npm --version
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- [ ] **RDS PostgreSQL 15** 实例已创建并运行
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- 数据库名称:`ai_clinical`(或自定义)
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- 用户名和密码已准备
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- 内网地址已获取(如 `rm-xxxxx.pg.rds.aliyuncs.com:5432`)
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- 内网地址已获取(如 `pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432`)
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- 白名单已配置(允许 SAE VPC 访问)
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- [ ] **阿里云容器镜像服务 ACR** 已开通
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@@ -104,8 +104,8 @@ npm --version
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- VPC 和交换机已选择(与 RDS 在同一 VPC)
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- [ ] **依赖服务的内网地址已获取**:
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- Python 微服务(SAE):`http://172.16.0.10:8000`
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- Dify 服务(ECS):`http://172.16.0.20:80`
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- Python 微服务(SAE):`http://172.17.x.x:8000`
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- Dify 服务(ECS):`http://172.17.x.x:80`
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#### 敏感信息准备
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@@ -113,7 +113,7 @@ npm --version
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```bash
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# 数据库
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DATABASE_URL=postgresql://username:password@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinical?connection_limit=18&pool_timeout=10
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DATABASE_URL=postgresql://username:password@pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432/ai_clinical?connection_limit=18&pool_timeout=10
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# LLM API Keys(至少配置一个)
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DEEPSEEK_API_KEY=sk-xxxxx
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@@ -122,10 +122,10 @@ CLOSEAI_API_KEY=sk-xxxxx
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# Dify
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DIFY_API_KEY=app-xxxxx
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DIFY_API_URL=http://172.16.0.20:80/v1
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DIFY_API_URL=http://172.17.x.x:80/v1
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# 阿里云 OSS
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OSS_REGION=oss-cn-hangzhou
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OSS_REGION=oss-cn-beijing
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OSS_BUCKET=clinical-research-files
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OSS_ACCESS_KEY_ID=LTAI5t...
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OSS_ACCESS_KEY_SECRET=xxx...
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@@ -157,10 +157,10 @@ Node.js 后端(SAE)
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├──→ RDS PostgreSQL 15(数据库)
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│
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├──→ Python 微服务(SAE) - 文档提取
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│ └─ http://172.16.0.10:8000
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│ └─ http://172.17.x.x:8000
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│
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├──→ Dify 服务(ECS) - RAG 知识库
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│ └─ http://172.16.0.20:80/v1
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│ └─ http://172.17.x.x:80/v1
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│
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└──→ 阿里云 OSS - 文件存储
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└─ clinical-research-files
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@@ -247,7 +247,7 @@ cp backend/.env backend/.env.backup
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# 2. 创建临时 RDS 连接配置
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cat > backend/.env.rds <<EOF
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DATABASE_URL="postgresql://username:password@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinical?connection_limit=18&pool_timeout=10"
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DATABASE_URL="postgresql://username:password@pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432/ai_clinical?connection_limit=18&pool_timeout=10"
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EOF
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# 3. 使用 RDS 配置
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@@ -263,7 +263,7 @@ npx prisma db pull
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# 输出示例:
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# Prisma schema loaded from prisma/schema.prisma
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# Datasource "db": PostgreSQL database "ai_clinical" at "rm-xxxxx.pg.rds.aliyuncs.com:5432"
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# Datasource "db": PostgreSQL database "ai_clinical" at "pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432"
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#
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# Introspecting based on datasource defined in prisma/schema.prisma …
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#
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@@ -348,7 +348,7 @@ git push
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```bash
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# 错误信息:
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Error: P1001: Can't reach database server at `rm-xxxxx.pg.rds.aliyuncs.com:5432`
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Error: P1001: Can't reach database server at `pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432`
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```
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**解决方法**:
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@@ -359,7 +359,7 @@ Error: P1001: Can't reach database server at `rm-xxxxx.pg.rds.aliyuncs.com:5432`
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# 添加你的本地公网 IP(查询:curl ipinfo.io)
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# 2. 测试连接
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psql "postgresql://username:password@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinical"
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psql "postgresql://username:password@pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432/ai_clinical"
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# 如果能连上,再执行 npx prisma db pull
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```
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@@ -885,7 +885,7 @@ SERVICE_NAME=backend-service
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```bash
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# ⚠️ 使用 RDS 内网地址
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DATABASE_URL=postgresql://username:password@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinical?connection_limit=18&pool_timeout=10
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DATABASE_URL=postgresql://username:password@pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432/ai_clinical?connection_limit=18&pool_timeout=10
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# 连接池配置(根据 RDS 规格调整)
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DB_MAX_CONNECTIONS=400
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@@ -903,7 +903,7 @@ MAX_INSTANCES=20
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```bash
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# 使用阿里云 OSS
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STORAGE_TYPE=oss
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OSS_REGION=oss-cn-hangzhou
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OSS_REGION=oss-cn-beijing
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OSS_BUCKET=clinical-research-files
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OSS_ACCESS_KEY_ID=LTAI5t...
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OSS_ACCESS_KEY_SECRET=xxx...
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@@ -939,7 +939,7 @@ CLOSEAI_CLAUDE_BASE_URL=https://api.openai-proxy.org/anthropic
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```bash
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# ⚠️ 使用 ECS 内网 IP(不要使用公网域名)
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DIFY_API_URL=http://172.16.0.20:80/v1
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DIFY_API_URL=http://172.17.x.x:80/v1
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DIFY_API_KEY=app-xxxxx
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```
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@@ -1079,7 +1079,7 @@ ls -lh ai_clinical_backup_*.sql
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```bash
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# 连接到 RDS 并导入
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psql "postgresql://username:password@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinical" \
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psql "postgresql://username:password@pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432/ai_clinical" \
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< ai_clinical_backup_20251213.sql
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# 输出示例:
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@@ -1101,7 +1101,7 @@ psql "postgresql://username:password@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinic
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```bash
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# 连接到 RDS
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psql "postgresql://username:password@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinical"
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psql "postgresql://username:password@pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432/ai_clinical"
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# 查看所有 Schema
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\dn
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@@ -1160,7 +1160,7 @@ ls -l prisma/schema.prisma
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```bash
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# 1. 连接到 RDS
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export DATABASE_URL="postgresql://username:password@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinical"
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export DATABASE_URL="postgresql://username:password@pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432/ai_clinical"
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# 2. 执行迁移
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cd backend
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@@ -1319,7 +1319,7 @@ curl -X POST https://backend-service-xxxxx.cn-hangzhou.sae.aliyuncs.com/api/asl/
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# 查看后端日志(SAE 控制台 → 应用详情 → 日志)
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# 应该看到:
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# [INFO] Calling extraction service: http://172.16.0.10:8000/extract/pdf
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# [INFO] Calling extraction service: http://172.17.x.x:8000/extract/pdf
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# [INFO] Extraction completed in 3.2s
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```
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@@ -1337,7 +1337,7 @@ curl -X POST https://backend-service-xxxxx.cn-hangzhou.sae.aliyuncs.com/api/know
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# 查看后端日志
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# 应该看到:
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# [INFO] Calling Dify API: http://172.16.0.20:80/v1/chat-messages
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# [INFO] Calling Dify API: http://172.17.x.x:80/v1/chat-messages
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# [INFO] Dify response received in 2.5s
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```
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@@ -1512,14 +1512,14 @@ SAE 控制台显示:实例启动中 → 健康检查失败 → 实例停止
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# 解决:检查 SAE 环境变量配置,补充缺失的变量
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# 错误 B:数据库连接失败
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# 日志:❌ 数据库连接失败: getaddrinfo ENOTFOUND rm-xxxxx.pg.rds.aliyuncs.com
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# 日志:❌ 数据库连接失败: getaddrinfo ENOTFOUND pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com
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# 解决:
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# - 检查 DATABASE_URL 是否正确
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# - 检查 RDS 白名单是否允许 SAE VPC 访问
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# - 检查 RDS 内网地址是否可达
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# 错误 C:Prisma 迁移未执行
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# 日志:Error: P1001: Can't reach database server at `rm-xxxxx.pg.rds.aliyuncs.com`
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# 日志:Error: P1001: Can't reach database server at `pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com`
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# 解决:先执行数据库迁移(参见第 8 节)
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# 错误 D:端口冲突
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@@ -1607,7 +1607,7 @@ DATABASE_URL=postgresql://...?connection_limit=10&pool_timeout=10
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```
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[ERROR] Failed to connect to Python service: ECONNREFUSED
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或
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[ERROR] connect ETIMEDOUT 172.16.0.10:8000
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[ERROR] connect ETIMEDOUT 172.17.x.x:8000
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```
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**排查步骤**:
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@@ -1622,7 +1622,7 @@ DATABASE_URL=postgresql://...?connection_limit=10&pool_timeout=10
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# 3. 测试内网连通性
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# 在后端应用的 Webshell 中执行:
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curl -v http://172.16.0.10:8000/health
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curl -v http://172.17.x.x:8000/health
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# 4. 检查安全组规则
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# SAE 控制台 → extraction-service 应用 → 网络配置
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@@ -1666,7 +1666,7 @@ curl http://localhost/v1/info
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# 3. 从 SAE 测试连通性
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# 在后端应用的 Webshell 中执行:
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curl -v http://172.16.0.20:80/v1/info
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curl -v http://172.17.x.x:80/v1/info
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```
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**解决方法**:
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@@ -1700,7 +1700,7 @@ DIFY_API_URL=http://<ECS内网IP>:80/v1
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# 1. 检查环境变量
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# SAE 控制台 → 应用详情 → 环境变量
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# 确认以下变量正确:
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OSS_REGION=oss-cn-hangzhou
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OSS_REGION=oss-cn-beijing
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OSS_BUCKET=clinical-research-files
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OSS_ACCESS_KEY_ID=LTAI5t...
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OSS_ACCESS_KEY_SECRET=xxx...
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@@ -1825,7 +1825,7 @@ PrismaClientKnownRequestError: column "phone" does not exist
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```bash
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# 1. 在本地开发环境,连接到 RDS
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export DATABASE_URL="postgresql://username:password@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinical"
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export DATABASE_URL="postgresql://username:password@pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432/ai_clinical"
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# 2. 反向同步 Schema
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npx prisma db pull
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@@ -2006,7 +2006,7 @@ pg_dump → 导入 RDS → prisma db pull(同步)→ 构建镜像 → 部署
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```typescript
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// ❌ 错误示例
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const dbUrl = 'postgresql://admin:P@ssw0rd@rm-xxxxx.pg.rds.aliyuncs.com:5432/ai_clinical';
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const dbUrl = 'postgresql://admin:P@ssw0rd@pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432/ai_clinical';
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// ✅ 正确做法
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const dbUrl = process.env.DATABASE_URL;
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