feat(dashboard): 首页请求趋势拆分状态码并合并容量到业务流量

- 24 小时请求趋势拆分展示请求总量与 200/400/500 状态码请求量,独占一行;
  时间桶聚合新增 status_200/400/500_count(CH countIf、PG FILTER),
  请求趋势改为基于原始桶聚合(小时 rollup 无状态码口径)
- 首页移除宿主机磁盘指标,容量趋势(CPU/内存)并入业务流量卡片展示
- 压缩协议 traffic_24h 扩展为 7 元组,前端归一化同步更新
This commit is contained in:
ryan
2026-08-13 10:57:21 +08:00
parent a9e4237bbf
commit a4dd5ca9e1
15 changed files with 196 additions and 160 deletions
@@ -3,39 +3,29 @@
import { TrendChart } from '@/components/data/trend-chart';
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
import type {
DiskIOTrendPoint,
CapacityTrendPoint,
NetworkTrendPoint,
} from '@/lib/services/openflare';
import {
formatBytes,
formatBytesPerSecond,
formatPercent,
formatTrendHour,
} from './dashboard-utils';
/** Backend disk points are per-hour totals; chart displays bytes/s within each hour. */
const DISK_BUCKET_SECONDS = 3600;
function diskBytesToRate(bytes: number) {
return bytes > 0 ? bytes / DISK_BUCKET_SECONDS : 0;
}
function formatDiskRate(bytesPerSecond: number) {
return formatBytesPerSecond(bytesPerSecond, 1, { zeroText: '0 B' });
}
export function NetworkDiskTrendChart({
/** 业务流量(来自访问日志)与容量趋势(节点 Agent 宿主机指标)合并展示。 */
export function TrafficCapacityTrendChart({
networkPoints,
diskPoints,
capacityPoints,
}: {
networkPoints: NetworkTrendPoint[];
diskPoints: DiskIOTrendPoint[];
capacityPoints: CapacityTrendPoint[];
}) {
return (
<Card className='border-dashed shadow-none'>
<CardHeader>
<CardTitle className='text-sm font-semibold'>
24 小时业务流量与宿主机磁盘
24 小时业务流量与容量趋势
</CardTitle>
</CardHeader>
<CardContent className='space-y-6'>
@@ -66,31 +56,31 @@ export function NetworkDiskTrendChart({
/>
<TrendChart
labels={diskPoints.map((point) =>
labels={capacityPoints.map((point) =>
formatTrendHour(point.bucket_started_at),
)}
height={180}
summaryScope='average'
summaryHint='近 24 小时 · 宿主机磁盘 · 平均速率'
yAxisValueFormatter={formatDiskRate}
summaryHint='近 24 小时 · 宿主机容量 · 平均值'
yAxisValueFormatter={formatPercent}
series={[
{
label: '磁盘读',
color: '#a78bfa',
fillColor: 'rgba(167, 139, 250, 0.14)',
label: '平均 CPU',
color: '#0f766e',
fillColor: 'rgba(15, 118, 110, 0.15)',
variant: 'area',
values: diskPoints.map((point) =>
diskBytesToRate(point.disk_read_bytes),
values: capacityPoints.map(
(point) => point.average_cpu_usage_percent,
),
valueFormatter: formatDiskRate,
valueFormatter: formatPercent,
},
{
label: '磁盘写',
color: '#fb7185',
values: diskPoints.map((point) =>
diskBytesToRate(point.disk_write_bytes),
label: '平均内存',
color: '#2563eb',
values: capacityPoints.map(
(point) => point.average_memory_usage_percent,
),
valueFormatter: formatDiskRate,
valueFormatter: formatPercent,
},
]}
/>
@@ -15,7 +15,7 @@ import { formatTrendHour } from './dashboard-utils';
export function TrafficTrendChart({
points,
title = '24 小时请求趋势',
description = '观察整体请求量和错误量是否出现异常抬升。',
description = '按小时拆分请求总量与 2xx/4xx/5xx 状态码请求量,判断各状态是否异常抬升。',
}: {
points: TrafficTrendPoint[];
title?: string;
@@ -43,9 +43,19 @@ export function TrafficTrendChart({
values: points.map((point) => point.request_count),
},
{
label: '错误量',
label: '2xx 请求',
color: '#22c55e',
values: points.map((point) => point.status_2xx_count),
},
{
label: '4xx 请求',
color: '#f97316',
values: points.map((point) => point.status_4xx_count),
},
{
label: '5xx 请求',
color: '#ef4444',
values: points.map((point) => point.error_count),
values: points.map((point) => point.status_5xx_count),
},
]}
/>