Files
OpenFlare/frontend/app/(main)/components/dashboard/traffic-trend-chart.tsx
T
ryan 3187934f72 fix(openflare): ClickHouse count scan and dashboard traffic metrics
- Scan ClickHouse count()/countIf() aggregates as uint64 before int64 conversion
- Fix access log list count, region stats, and delete pre-count queries
- Aggregate dashboard 24h traffic totals from hourly trend buckets
- Show current hour value in traffic trend chart summary
- Rename docker-compose service to openflare
- Remove redundant config preview section from performance page
2026-06-19 17:34:19 +08:00

53 lines
1.4 KiB
TypeScript

'use client';
import {TrendChart} from '@/components/data/trend-chart';
import {
Card,
CardContent,
CardDescription,
CardHeader,
CardTitle,
} from '@/components/ui/card';
import type {TrafficTrendPoint} from '@/lib/services/openflare';
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。',
}: {
points: TrafficTrendPoint[];
title?: string;
description?: string;
}) {
return (
<Card className="border-dashed shadow-none">
<CardHeader>
<CardTitle className="text-sm font-semibold">{title}</CardTitle>
<CardDescription className="text-xs">{description}</CardDescription>
</CardHeader>
<CardContent>
<TrendChart
labels={points.map((point) => formatTrendHour(point.bucket_started_at))}
summaryScope="last-point"
summaryHint="当前小时"
series={[
{
label: '请求量',
color: '#f59e0b',
fillColor: 'rgba(245, 158, 11, 0.18)',
variant: 'area',
values: points.map((point) => point.request_count),
},
{
label: '错误量',
color: '#ef4444',
values: points.map((point) => point.error_count),
},
]}
/>
</CardContent>
</Card>
);
}