chore: initial import

test/perf/PERF_ENV.md

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+# AI-Ops 性能压测环境规格
+
+## 压测目标
+
+| 场景 | 并发用户 | 目标 P95 | 目标 P99 | 失败率门槛 |
+|------|----------|----------|----------|------------|
+| 首页加载 | 50 | < 2s | < 3s | < 1% |
+| 指标下钻 | 20 | < 3s | < 5s | < 1% |
+| 告警触发到通知 | - | < 30s | < 60s | < 0.1% |
+
+## 环境规格
+
+| 组件 | 规格 | 说明 |
+|------|------|------|
+| AI-Ops API Server | 2 vCPU / 4GB 内存 | 与生产目标一致 |
+| PostgreSQL | 2 vCPU / 4GB 内存 / SSD | 含 10 万条审计日志基准数据 |
+| Redis | 1 vCPU / 2GB 内存 | 用于告警抑制缓存 |
+| Prometheus | 独立实例 | 采集 10 个指标、15s 间隔 |
+
+## 压测方法
+
+1. **首页加载**：`k6 run test/perf/dashboard_k6.js`
+2. **下钻查询**：`k6 run test/perf/drilldown_k6.js`
+3. **告警延迟**：通过 Go 单测 `alert_latency_test.go` 测量触发到通知的延迟
+
+## P99 计算方法
+
+使用 k6 默认统计方法：在压测期间（10s 滑动窗口）内的所有请求响应时间排序后取 99% 分位数。
+
+## 通过标准
+
+- P95 达标且失败率 < 1% → 通过
+- P95 超标但 P99 达标 → CONDITIONAL_APPROVED（需性能优化）
+- P99 超标 → 阻止进入下一阶段

test/perf/alert_latency_test.go

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+package perf
+
+import (
+	"testing"
+	"time"
+
+	"github.com/stretchr/testify/assert"
+)
+
+// TestAlertLatency 测量告警触发到通知的延迟
+// 目标：< 30s (P95)
+func TestAlertLatency(t *testing.T) {
+	// 模拟规则触发
+	triggeredAt := time.Now()
+
+	// TODO: 替换为实际的告警服务调用
+	// alert, err := alertService.Evaluate(ctx, ruleID)
+	// require.NoError(t, err)
+
+	// 模拟通知发送
+	// err = notifyService.Send(ctx, alert)
+	// require.NoError(t, err)
+
+	// 计算延迟
+	latency := time.Since(triggeredAt)
+
+	t.Logf("Alert latency: %v", latency)
+	assert.Less(t, latency, 30*time.Second, "alert latency should be < 30s")
+}

test/perf/dashboard_k6.js

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+import http from 'k6/http';
+import { check, sleep } from 'k6';
+
+// AI-Ops 看板首页性能压测脚本
+// 目标：验证首页加载 < 2s，并发 50 用户
+
+export const options = {
+  stages: [
+    { duration: '1m', target: 50 },   // 逐步加载到 50 并发
+    { duration: '3m', target: 50 },   // 稳定压测 3 分钟
+    { duration: '1m', target: 0 },    // 逐步卸载
+  ],
+  thresholds: {
+    http_req_duration: ['p(95)<2000'], // P95 < 2s
+    http_req_duration: ['p(99)<3000'], // P99 < 3s
+    http_req_failed: ['rate<0.01'],    // 失败率 < 1%
+  },
+};
+
+export default function () {
+  const url = 'http://localhost:8080/api/v1/ai-ops/dashboard';
+  const res = http.get(url, {
+    headers: { 'Authorization': 'Bearer ${__ENV.AI_OPS_TOKEN}' },
+  });
+
+  check(res, {
+    'status is 200': (r) => r.status === 200,
+    'response time < 2s': (r) => r.timings.duration < 2000,
+  });
+
+  sleep(1);
+}

test/perf/drilldown_k6.js

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+import http from 'k6/http';
+import { check, sleep } from 'k6';
+
+// AI-Ops 下钻性能压测脚本
+// 目标：验证下钻加载 < 3s，并发 20 用户
+
+export const options = {
+  stages: [
+    { duration: '30s', target: 20 },
+    { duration: '2m', target: 20 },
+    { duration: '30s', target: 0 },
+  ],
+  thresholds: {
+    http_req_duration: ['p(95)<3000'], // P95 < 3s
+    http_req_failed: ['rate<0.01'],    // 失败率 < 1%
+  },
+};
+
+export default function () {
+  const service = `service_${Math.floor(Math.random() * 10)}`;
+  const url = `http://localhost:8080/api/v1/ai-ops/metrics/drilldown?service=${service}&window=5m`;
+  const res = http.get(url, {
+    headers: { 'Authorization': 'Bearer ${__ENV.AI_OPS_TOKEN}' },
+  });
+
+  check(res, {
+    'status is 200': (r) => r.status === 200,
+    'response time < 3s': (r) => r.timings.duration < 3000,
+  });
+
+  sleep(2);
+}