Files
Edu/docs/standards/full-stack-runbook.md
SpecialX 959d58a95d
Some checks failed
CI / quality-ts (push) Failing after 51s
CI / quality-go (push) Failing after 3s
CI / quality-proto (push) Failing after 2s
CI / deploy (push) Has been skipped
docs: add full-stack runbook and one-click scripts
start-all/stop-all/health-check/test-cdc PowerShell scripts.

Compatible with PowerShell 5.1 (ASCII only, no emoji).
2026-07-09 13:47:46 +08:00

280 lines
11 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# 全链路启用与测试手册Full Stack Runbook
> 版本1.0
> 日期2026-07-09
> 适用范围Edu 微服务架构P6 阶段11 基础设施 + 10 应用服务 + 1 前端)
> 关联文档:[local-dev-runbook](./local-dev-runbook.md)、[004 架构影响地图](../architecture/004_architecture_impact_map.md)、[known-issues](../troubleshooting/known-issues.md)
---
## 1. 前置条件
| 工具 | 版本要求 | 验证命令 |
| -------------- | -------- | ------------------------ |
| Node.js | ≥ 20 | `node -v` |
| pnpm | ≥ 9 | `pnpm -v` |
| Go | 1.22+ | `go version` |
| uv | 0.4+ | `uv --version` |
| Docker | 24+ | `docker version` |
| Docker Compose | v2+ | `docker compose version` |
> Windows 用户Go 工具链若不在 PATH临时加入`$env:Path = "C:\Program Files\Go\bin;" + $env:Path`
---
## 2. 服务端口矩阵
### 2.1 应用服务10 个)
| 端口 | 服务 | 语言/框架 | 启动方式 |
| ---- | -------------- | --------- | ---------------------------------------------- |
| 3000 | teacher-portal | Next.js | `pnpm --filter teacher-portal dev` |
| 3001 | classes | NestJS | `pnpm --filter @edu/classes-service dev` |
| 3002 | iam | NestJS | `pnpm --filter @edu/iam-service dev` |
| 3003 | teacher-bff | NestJS | `pnpm --filter @edu/teacher-bff dev` |
| 3004 | core-edu | NestJS | `pnpm --filter @edu/core-edu-service dev` |
| 3005 | content | NestJS | `pnpm --filter @edu/content-service dev` |
| 3006 | data-ana | FastAPI | `uv run uvicorn data_ana.main:app --port 3006` |
| 3007 | msg | NestJS | `pnpm --filter @edu/msg-service dev` |
| 3008 | ai | FastAPI | `uv run uvicorn ai.main:app --port 3008` |
| 8080 | api-gateway | Go (Gin) | `go run .` |
| 8081 | push-gateway | Go (Gin) | `go run .` |
### 2.2 基础设施11 个)
| 端口 | 服务 | 用途 |
| --------- | ------------------ | --------------------- |
| 3306 | MySQL 8 | 写模型主库 |
| 6379 | Redis 7 | 缓存/会话 |
| 8083 | Debezium Connect | CDC source connector |
| 8123/9000 | ClickHouse 24.3 | 读模型宽表 |
| 9092 | Kafka 7.6 | 事件总线 |
| 7474/7687 | Neo4j 5.20 | 知识图谱 |
| 9200 | Elasticsearch 8.13 | 题库检索 |
| 9090 | Prometheus | 指标采集 |
| 3030 | Grafana | 可视化admin/admin |
| 16686 | Jaeger | 分布式追踪 UI |
| 4318 | OTLP Collector | OTel span 接收 |
---
## 3. 一键启动
### 3.1 启动基础设施
```powershell
cd e:\Desktop\Edu\infra
docker compose -f docker-compose.yml --profile p6 --profile observability up -d
```
等待所有容器 healthy约 60 秒):
```powershell
docker ps --filter "name=edu-" --format "table {{.Names}}\t{{.Status}}"
```
### 3.2 一键启动所有应用服务
使用项目根目录的启动脚本:
```powershell
cd e:\Desktop\Edu
.\scripts\start-all.ps1
```
该脚本会:
1. 检查基础设施健康状态
2. 为每个应用服务启动独立后台窗口(带标题)
3. 自动注入 Python 服务的环境变量CLICKHOUSE/KAFKA/OTEL
4. 等待所有服务健康检查通过
### 3.3 健康检查
```powershell
cd e:\Desktop\Edu
.\scripts\health-check.ps1
```
预期输出:所有服务 ✅
---
## 4. 端到端链路测试
### 4.1 IAM 注册 + 登录
```powershell
$h = @{Authorization="Bearer dev-token"}
# 注册
$body = @{username="testteacher";password="Test@1234";email="test@edu.com";role="teacher"} | ConvertTo-Json
Invoke-RestMethod -Uri "http://localhost:8080/iam/auth/register" -Method Post -Body $body -ContentType "application/json" -Headers $h
# 登录
$loginBody = @{username="testteacher";password="Test@1234"} | ConvertTo-Json
$resp = Invoke-RestMethod -Uri "http://localhost:8080/iam/auth/login" -Method Post -Body $loginBody -ContentType "application/json"
$token = $resp.data.accessToken
Write-Host "Token: $token"
```
### 4.2 Classes CRUD
```powershell
# 创建班级
$classBody = @{name="高三一班";gradeId="grade-1";headTeacherId=""} | ConvertTo-Json
Invoke-RestMethod -Uri "http://localhost:8080/classes" -Method Post -Body $classBody -ContentType "application/json" -Headers $h
# 查询班级列表
Invoke-RestMethod -Uri "http://localhost:8080/classes" -Method Get -Headers $h
```
### 4.3 CDC 完整链路MySQL → Debezium → Kafka → data-ana → ClickHouse
```powershell
# 1. 向 MySQL 插入成绩(触发 binlog
docker exec edu-mysql mysql -uedu -pchangeme next_edu_cloud -e "
INSERT INTO core_edu_exams (id, class_id, subject_id, title, exam_date, total_score, created_at, updated_at)
VALUES ('exam-cdc-test-001','cls-test-001','sub-math','CDC测试考试',NOW(),100,NOW(),NOW())
ON DUPLICATE KEY UPDATE updated_at=NOW();
INSERT INTO core_edu_grades (id, exam_id, student_id, score, rank_in_class, created_at, updated_at)
VALUES ('grade-cdc-001','exam-cdc-test-001','student-cdc-001',92.5,1,NOW(),NOW())
ON DUPLICATE KEY UPDATE score=92.5, updated_at=NOW();
"
# 2. 等待 Debezium 捕获 + data-ana 消费
Start-Sleep -Seconds 5
# 3. 验证 ClickHouse 已同步
docker exec edu-clickhouse clickhouse-client --user default --password clickhouse -q "
SELECT student_id, class_id, exam_id, score, last_updated
FROM edu_analytics.student_dashboard_view
WHERE student_id = 'student-cdc-001'
ORDER BY last_updated DESC
"
# 预期返回一行score=92.5class_id='cls-test-001'
```
### 4.4 data-ana 查询 API
```powershell
# 学生学情看板
Invoke-RestMethod -Uri "http://localhost:3006/analytics/student/student-cdc-001/weakness" -Headers $h
# 班级成绩分析
Invoke-RestMethod -Uri "http://localhost:3006/analytics/class/cls-test-001/performance" -Headers $h
# CDC 消费者状态
Invoke-RestMethod -Uri "http://localhost:3006/readyz"
# 预期: cdc_consumer = "running"
```
### 4.5 可观测性验证
| 检查项 | URL | 预期 |
| ------------------ | ----------------------------------- | ------------------------ |
| Prometheus targets | http://localhost:9090/targets | 所有 target UP |
| Grafana 面板 | http://localhost:3030 (admin/admin) | 可登录 |
| Jaeger UI | http://localhost:16686 | 可搜索到各 service trace |
| data-ana /metrics | http://localhost:3006/metrics | Prometheus 格式输出 |
| iam /metrics | http://localhost:3002/metrics | Prometheus 格式输出 |
**Jaeger trace 验证步骤**
1. 打开 http://localhost:16686
2. Service 下拉框应能看到 `iam``classes``data-ana``api-gateway`
3. 选择任一服务 → Find Traces → 应看到 HTTP 请求的自动埋点 span
---
## 5. 一键停止
### 5.1 停止应用服务
```powershell
cd e:\Desktop\Edu
.\scripts\stop-all.ps1
```
该脚本会关闭所有 `edu-app-*` 标题的终端窗口。
### 5.2 停止基础设施
```powershell
cd e:\Desktop\Edu\infra
docker compose -f docker-compose.yml --profile p6 --profile observability down
```
---
## 6. 故障排查
### 6.1 端口占用
```powershell
# 查看占用端口的进程
netstat -ano | findstr :3001
# 终止进程
taskkill /PID <PID> /F
```
### 6.2 基础设施未启动
```powershell
# 检查容器状态
docker ps --filter "name=edu-"
# 重启单个容器
docker restart edu-mysql
# 查看日志
docker logs edu-debezium --tail 50
```
### 6.3 CDC 链路断开
```powershell
# 1. 检查 Debezium connector 状态
Invoke-RestMethod -Uri "http://localhost:8083/connectors/edu-mysql-source/status"
# 2. 重启 connector
Invoke-RestMethod -Uri "http://localhost:8083/connectors/edu-mysql-source/restart" -Method Post
# 3. 检查 Kafka topic 是否有数据
docker exec edu-kafka kafka-console-consumer --bootstrap-server localhost:9092 --topic edu-cdc.next_edu_cloud.core_edu_grades --from-beginning --max-messages 1
# 4. 检查 data-ana 消费者日志
# 查看 data-ana 终端窗口的 cdc_consumer_started / cdc_event_received 日志
```
### 6.4 OTel trace 未上报
```powershell
# 1. 检查 Jaeger 是否收到 trace
Invoke-RestMethod -Uri "http://localhost:16686/api/services"
# 2. 检查 OTLP endpoint 是否可达
Invoke-RestMethod -Uri "http://localhost:4318/v1/traces" -Method Post -ContentType "application/json" -Body "{}"
# 3. 检查服务环境变量
# 确保 OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 已设置
```
---
## 7. 速查:常用命令
| 场景 | 命令 |
| ------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------- |
| 启动基础设施 | `docker compose -f infra/docker-compose.yml --profile p6 --profile observability up -d` |
| 一键启动应用 | `.\scripts\start-all.ps1` |
| 一键停止应用 | `.\scripts\stop-all.ps1` |
| 健康检查 | `.\scripts\health-check.ps1` |
| CDC 链路验证 | `.\scripts\test-cdc.ps1` |
| 查看容器状态 | `docker ps --filter "name=edu-"` |
| 查看 Debezium 状态 | `Invoke-RestMethod http://localhost:8083/connectors/edu-mysql-source/status` |
| ClickHouse 查询 | `docker exec edu-clickhouse clickhouse-client --user default --password clickhouse -q "SELECT * FROM edu_analytics.student_dashboard_view LIMIT 10"` |
| Kafka topic 列表 | `docker exec edu-kafka kafka-topics --bootstrap-server localhost:9092 --list` |
| Prometheus 查询 | `Invoke-RestMethod "http://localhost:9090/api/v1/query?query=up"` |