feat: P1 收尾 —— 事件面板区块与 90 天响应时间趋势

事件时间线（面板侧）：
- 监控列表下方「最近事件」区块（最近 20 条：时间/类型/目标/详情），
  无事件自动隐藏；维护窗口内事件带「维护」标记；窄屏隐藏详情列

响应时间趋势（P1-2）：
- 当日分桶在 {total,up} 外累计 latSum/latCount/latMax（仅在线样本）
- 快照输出 lat: { avg, max, days:[{key,avg}] }
- 卡片视图：可用率条下方新增「90 天日均延迟」细柱图（最近 30 天 + 均值）
- 表格视图：可用率列 tooltip 追加「90 天日均延迟 X ms（峰值 Y ms）」
- --demo 同步生成 90 天延迟样例（含起伏），静态部署也能看到效果

验证：verify-views 新增 [J] 段 5 条断言（趋势条/30 格/tooltip/事件空态/无溢出），
六套合计 159 项全通过（17+35+26+20+39+22）。

至此 P0（通知、证书）与 P1（事件时间线、维护窗口、响应时间趋势）全部落地。

prober/node/index.js

@@ -37,7 +37,7 @@ const CONCURRENCY = 8;
 const WRITE_DEBOUNCE_MS = 300;
 const DEFAULT_INTERVAL_SEC = 60;
 const PORT = Number(process.env.PORT || 8787);
-const VERSION = '0.10.0';
+const VERSION = '0.11.0';
 const UR_DEFAULT_POLL_SEC = 300;
 const UR_MIN_REFRESH_GAP_MS = 60000;
 
@@ -118,14 +118,43 @@ function pruneDaily(daily) {
   while (keys.length > UPTIME_DAYS) delete daily[keys.shift()];
 }
 
-function recordDaily(daily, ok) {
+// 记录一次探测到「当日分桶」；latency 仅在在线时传入（离线结果没有有意义的延迟）
+// 同时累计延迟统计（sum/count/max），用于面板的 90 天延迟趋势
+function recordDaily(daily, ok, latency = null) {
   const key = dayKey();
   const bucket = daily[key] ?? (daily[key] = { total: 0, up: 0 });
   bucket.total++;
-  if (ok) bucket.up++;
+  if (ok) {
+    bucket.up++;
+    if (Number.isFinite(latency) && latency >= 0) {
+      bucket.latSum = (bucket.latSum ?? 0) + latency;
+      bucket.latCount = (bucket.latCount ?? 0) + 1;
+      bucket.latMax = Math.max(bucket.latMax ?? 0, latency);
+    }
+  }
   pruneDaily(daily);
 }
 
+// 从分桶聚合延迟趋势（90 天）：返回 { avg, max, days: [{ key, avg }] }
+function latencyTrend(daily) {
+  const keys = Object.keys(daily ?? {}).sort();
+  const days = [];
+  let sum = 0;
+  let count = 0;
+  let max = 0;
+  for (const key of keys) {
+    const b = daily[key];
+    if (!b?.latCount) continue;
+    const avg = Math.round(b.latSum / b.latCount);
+    days.push({ key, avg });
+    sum += b.latSum;
+    count += b.latCount;
+    max = Math.max(max, b.latMax ?? 0);
+  }
+  if (!count) return null;
+  return { avg: Math.round(sum / count), max, days };
+}
+
 function intervalMs(monitor) {
   const sec = Number(monitor.interval);
   // 非法或缺失的 interval 一律回落到默认值，避免算出 NaN 让该目标永久不再被调度
@@ -180,7 +209,7 @@ async function syncUptimeRobot(runtime, { minGapMs = 0 } = {}) {
       s.history = item.history;
       s.uptimeRatios = item.uptimeRatios;
       s.downSeconds = item.downSeconds;
-      if (item.status !== 'pending') recordDaily(s.daily, item.status === 'up');
+      if (item.status !== 'pending') recordDaily(s.daily, item.status === 'up', item.latency);
     }
     // 清理 UR 侧已删除的监控
     for (const [id, s] of runtime.state) {
@@ -287,7 +316,7 @@ async function probeDue(runtime, force = false) {
         s.lastResult = result;
         s.history.push({ t: result.checkedAt, ok: result.status === 'up', ms: result.latency ?? 0 });
         if (s.history.length > HISTORY_LIMIT) s.history.shift();
-        recordDaily(s.daily, result.status === 'up');
+        recordDaily(s.daily, result.status === 'up', result.latency);
         const tag = result.status === 'up' ? '[up]  ' : '[down]';
         console.log(`${tag} ${m.id.padEnd(20)} ${String(result.latency ?? '-').padStart(5)}ms  ${result.detail}`);
       } catch (err) {
@@ -633,6 +662,9 @@ function snapshot(runtime, demo = false) {
       const maintenance = activeMaintenanceFor(config, id);
       if (maintenance) entry.maintenance = { note: maintenance.note ?? null, to: maintenance.to ?? null };
     }
+    // 90 天延迟趋势（自当日分桶聚合，自建与 UR 镜像目标都适用）
+    const trend = latencyTrend(s.daily);
+    if (trend) entry.lat = trend;
     monitors[id] = entry;
   }
 
@@ -762,7 +794,10 @@ function writeDemo(config) {
       const key = dayKey(new Date(Date.now() - d * 86400000));
       const missRatio = alwaysDown ? 1 : (seed + d * 13) % 23 === 0 ? 0.05 : (seed + d * 7) % 11 === 0 ? 0.012 : 0;
       const miss = Math.round(perDay * missRatio);
-      daily[key] = { total: perDay, up: perDay - miss };
+      // 演示用延迟：随日期缓慢起伏，让 90 天趋势有形状可看
+      const up = perDay - miss;
+      const avg = alwaysDown ? 0 : 40 + ((seed + d * 5) % 160);
+      daily[key] = { total: perDay, up, latSum: avg * up, latCount: up, latMax: avg + 60 };
     }
     s.daily = daily;
   }