167 lines
4.6 KiB
Markdown
167 lines
4.6 KiB
Markdown
# 面试前验收清单
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## 1. 环境检查
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- 当前分支包含最新架构文档和面试材料。
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- MySQL 可连接。
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- Redis 可连接。
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- Milvus/Zilliz 可连接。
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- 模型 API key 可用。
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- `mvp-demo` profile 开启 mock Prometheus 和 mock CLS。
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启动服务：
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```powershell
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mvn spring-boot:run "-Dspring-boot.run.profiles=mvp-demo"
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```
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编译检查：
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```powershell
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mvn -q -DskipTests compile
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```
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目标测试：
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```powershell
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mvn -q "-Dtest=AiOpsServiceTest,ChatServiceSequentialAgentTest,DiagnosisTraceServiceTest,VectorSearchServiceTest,LookupKnowledgeToolTest" test
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```
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## 2. Chat Demo 验收
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请求：
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```powershell
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$sessionId = "interview-chat-payment-timeout-001"
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$body = @{
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Id = $sessionId
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Question = "支付接口最近出现超时，请结合知识库、日志和指标判断可能原因，并给出修复建议。"
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} | ConvertTo-Json
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Invoke-RestMethod `
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-Method Post `
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-Uri "http://localhost:9900/api/chat" `
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-ContentType "application/json" `
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-Body $body
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```
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验收：
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- 返回 `data.success = true`。
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- 返回 `data.sessionId = interview-chat-payment-timeout-001`。
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- `diagnosis_session.agent_flow = CHAT`。
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- Trace API 返回 session、steps、toolInvocations。
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- 复杂问题下 trace 中能看到 verifier 相关数据。
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SQL：
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```powershell
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python scripts/query_mysql.py "SELECT session_id, agent_flow, status, step_count, tool_call_count FROM diagnosis_session WHERE session_id='interview-chat-payment-timeout-001'"
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```
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## 3. AIOps Demo 验收
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请求：
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```powershell
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$aiopsSessionId = "interview-aiops-payment-cpu-001"
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$aiopsBody = @{
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sessionId = $aiopsSessionId
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alertName = "HighCPUUsage"
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service = "payment-service"
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severity = "P1"
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description = "服务 payment-service 的 CPU 使用率持续超过 80%，当前值为 92%。实例: pod-payment-service-7d8f9c6b5-x2k4m。"
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timeRange = "last_15m"
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userRequest = "请结合 Prometheus 活动告警、system-metrics 日志和知识库生成告警分析报告。"
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} | ConvertTo-Json
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Invoke-WebRequest `
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-Method Post `
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-Uri "http://localhost:9900/api/ai_ops" `
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-ContentType "application/json" `
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-Body $aiopsBody
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```
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验收：
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- SSE 首条包含 `type=session`。
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- SSE 最后包含 `type=done`。
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- `diagnosis_session.agent_flow = AI_OPS`。
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- `diagnosis_session.status = SUCCESS`。
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- `diagnosis_session.answer` 有最终报告。
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- Trace API 返回 AIOps steps 和 tool invocations。
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- 报告主章节聚焦 `HighCPUUsage/payment-service`。
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- 其他 active alerts 不应展开成独立主根因章节。
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- `self_evaluation.aiops_rule_evaluation` 存在。
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SQL：
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```powershell
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python scripts/query_mysql.py "SELECT session_id, agent_flow, status, total_duration_ms, step_count, tool_call_count FROM diagnosis_session WHERE session_id='interview-aiops-payment-cpu-001'"
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```
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```powershell
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python scripts/query_mysql.py "SELECT tool_name, COUNT(*) AS cnt FROM tool_invocation WHERE session_id='interview-aiops-payment-cpu-001' GROUP BY tool_name ORDER BY tool_name"
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```
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Scope 检查：
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```powershell
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python scripts/query_mysql.py "SELECT (answer LIKE '%HighCPUUsage%') AS has_main_alert, (answer LIKE '%payment-service%') AS has_service FROM diagnosis_session WHERE session_id='interview-aiops-payment-cpu-001'"
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```
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## 4. Trace API 验收
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```powershell
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Invoke-RestMethod `
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-Method Get `
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-Uri "http://localhost:9900/api/diagnosis/interview-aiops-payment-cpu-001/trace"
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```
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如果 PowerShell 对长 JSON 或特殊字符不稳定，可以用：
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```powershell
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curl.exe --silent --show-error --max-time 60 "http://localhost:9900/api/diagnosis/interview-aiops-payment-cpu-001/trace"
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```
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## 5. RAG 验收
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```powershell
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Invoke-RestMethod `
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-Uri "http://127.0.0.1:9900/api/search/similar?query=ERR_TIMEOUT&topK=3" `
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-Method Get
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```
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验收：
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- 返回 `code = 200`。
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- top candidates 中包含 `ERR_TIMEOUT` 相关文档。
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- `scoreLabel` 能体现当前检索路径语义。
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- 如果走 VectorStore，日志应出现 Spring AI VectorStore search。
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## 6. 常见问题
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### MySQL stale connection
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现象：
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```text
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HikariPool - Connection is not available
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No operations allowed after connection closed
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```
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处理：
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- 重启服务。
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- 确认 HikariPool 使用当前配置启动成功。
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- 再跑 trace 或 AIOps 请求。
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### SSE 客户端显示异常
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PowerShell `Invoke-WebRequest` 有时对 SSE 或长 JSON 处理不稳定。可以改用 `curl.exe` 或直接查询 MySQL 和 Trace API 验证结果。
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### OpenSpec 全量校验失败
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`openspec validate --all --strict` 可能因为历史未完成 change 失败。面试演示主要依赖已归档 spec、MVP trace 和 RAG 验收材料，可以单独验证相关 spec。
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