feat: 动态粒度趋势图，支持 auto bucket 选择 + P95 延迟 + 状态条

tests/server/metrics.test.ts

@@ -2,11 +2,12 @@ import { describe, expect, test } from "bun:test";
 
 import {
   analyzeIncidentSequence,
-  buildHourlyTrend,
+  buildTrend,
   calculateAvailability,
   calculateCurrentStreak,
   calculatePercentile,
   type MetricCheckpoint,
+  resolveAutoBucket,
 } from "../../src/server/metrics";
 
 describe("后端指标计算", () => {
@@ -90,35 +91,47 @@ describe("后端指标计算", () => {
   });
 
   test("UTC 小时趋势分桶返回 up/down 和延迟范围", () => {
-    const trend = buildHourlyTrend([
+    const checkpoints = [
       checkpoint("2025-01-01T00:10:00.000Z", true, 100),
       checkpoint("2025-01-01T00:40:00.000Z", false, null),
       checkpoint("2025-01-01T01:05:00.000Z", true, 300),
-    ]);
+    ];
+
+    const trend = buildTrend(checkpoints, "2025-01-01T00:00:00.000Z", "2025-01-01T01:59:59.999Z", "1h");
 
     expect(trend).toEqual([
       {
         availability: 50,
         avgDurationMs: 100,
+        bucketEnd: "2025-01-01T01:00:00.000Z",
         bucketStart: "2025-01-01T00:00:00.000Z",
         downChecks: 1,
         maxDurationMs: 100,
         minDurationMs: 100,
+        p95DurationMs: 100,
         totalChecks: 2,
         upChecks: 1,
       },
       {
         availability: 100,
         avgDurationMs: 300,
+        bucketEnd: "2025-01-01T01:59:59.999Z",
         bucketStart: "2025-01-01T01:00:00.000Z",
         downChecks: 0,
         maxDurationMs: 300,
         minDurationMs: 300,
+        p95DurationMs: 300,
         totalChecks: 1,
         upChecks: 1,
       },
     ]);
   });
+
+  test("resolveAutoBucket 按窗口大小选择合适桶", () => {
+    expect(resolveAutoBucket(30_000, 7 * 24 * 60 * 60 * 1000)).toBe("1h");
+    expect(resolveAutoBucket(30_000, 60 * 60 * 1000)).toBe("30s");
+    expect(resolveAutoBucket(30_000, 24 * 60 * 60 * 1000)).toBe("15m");
+  });
 });
 
 function checkpoint(timestamp: string, matched: boolean, durationMs: null | number = null): MetricCheckpoint {