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https://github.com/Rain-kl/OpenFlare.git
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feat(wavelet): 总览仪表盘对齐旧前端 ECharts 图表样式
将请求/容量趋势图迁移至 ECharts,并补充网络磁盘趋势、Top 节点榜单、 来源分布、状态码分布与 Top Domain 板块。
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@@ -1,7 +1,6 @@
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'use client';
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import { Area, AreaChart, CartesianGrid, Line, XAxis, YAxis } from 'recharts';
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import {TrendChart} from '@/components/data/trend-chart';
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import {
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Card,
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CardContent,
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@@ -9,54 +8,11 @@ import {
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CardHeader,
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CardTitle,
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} from '@/components/ui/card';
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import {
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ChartConfig,
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ChartContainer,
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ChartLegend,
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ChartLegendContent,
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ChartTooltip,
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ChartTooltipContent,
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} from '@/components/ui/chart';
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import type { CapacityTrendPoint } from '@/lib/services/openflare';
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import type {CapacityTrendPoint} from '@/lib/services/openflare';
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import { formatPercent, formatTrendHour } from './dashboard-utils';
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const chartConfig = {
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cpu: {
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label: '平均 CPU',
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color: 'hsl(var(--chart-2))',
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},
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memory: {
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label: '平均内存',
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color: 'hsl(var(--chart-3))',
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},
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} satisfies ChartConfig;
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export function CapacityTrendChart({ points }: { points: CapacityTrendPoint[] }) {
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const data = points.map((point) => ({
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hour: formatTrendHour(point.bucket_started_at),
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cpu: point.average_cpu_usage_percent,
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memory: point.average_memory_usage_percent,
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}));
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if (data.length === 0) {
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return (
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<Card className="border-dashed shadow-none">
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<CardHeader>
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<CardTitle className="text-sm font-semibold">24 小时容量趋势</CardTitle>
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<CardDescription className="text-xs">
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按小时聚合 CPU 与内存使用率,判断整体容量是否持续紧张。
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</CardDescription>
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</CardHeader>
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<CardContent>
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<div className="flex h-[280px] items-center justify-center text-xs text-muted-foreground">
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暂无趋势数据
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</div>
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</CardContent>
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</Card>
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);
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}
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import {formatPercent, formatTrendHour} from './dashboard-utils';
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export function CapacityTrendChart({points}: {points: CapacityTrendPoint[]}) {
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return (
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<Card className="border-dashed shadow-none">
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<CardHeader>
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@@ -65,64 +21,27 @@ export function CapacityTrendChart({ points }: { points: CapacityTrendPoint[] })
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按小时聚合 CPU 与内存使用率,判断整体容量是否持续紧张。
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</CardDescription>
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</CardHeader>
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<CardContent className="pl-2 pr-4">
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<div className="h-[280px] w-full">
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<ChartContainer config={chartConfig} className="h-full w-full">
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<AreaChart data={data} margin={{ top: 10, right: 10, left: 0, bottom: 0 }}>
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<defs>
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<linearGradient id="capacityCpuFill" x1="0" y1="0" x2="0" y2="1">
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<stop offset="5%" stopColor="var(--color-cpu)" stopOpacity={0.2} />
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<stop offset="95%" stopColor="var(--color-cpu)" stopOpacity={0.02} />
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</linearGradient>
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</defs>
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<CartesianGrid strokeDasharray="3 3" vertical={false} />
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<XAxis
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dataKey="hour"
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tickLine={false}
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axisLine={false}
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tickMargin={8}
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minTickGap={24}
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/>
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<YAxis
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tickLine={false}
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axisLine={false}
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tickMargin={8}
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domain={[0, 100]}
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tickFormatter={(value) => formatPercent(Number(value))}
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/>
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<ChartTooltip
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cursor={false}
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content={
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<ChartTooltipContent
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formatter={(value, name) => (
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<span className="font-mono tabular-nums">
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{formatPercent(Number(value))}
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<span className="ml-1 text-muted-foreground">
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{name === 'cpu' ? 'CPU' : '内存'}
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</span>
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</span>
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)}
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/>
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}
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/>
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<Area
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type="monotone"
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dataKey="cpu"
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stroke="var(--color-cpu)"
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fill="url(#capacityCpuFill)"
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strokeWidth={2}
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/>
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<Line
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type="monotone"
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dataKey="memory"
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stroke="var(--color-memory)"
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strokeWidth={2}
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dot={false}
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/>
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<ChartLegend content={<ChartLegendContent />} />
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</AreaChart>
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</ChartContainer>
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</div>
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<CardContent>
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<TrendChart
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labels={points.map((point) => formatTrendHour(point.bucket_started_at))}
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yAxisValueFormatter={formatPercent}
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series={[
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{
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label: '平均 CPU',
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color: '#0f766e',
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fillColor: 'rgba(15, 118, 110, 0.15)',
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variant: 'area',
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values: points.map((point) => point.average_cpu_usage_percent),
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valueFormatter: formatPercent,
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},
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{
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label: '平均内存',
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color: '#2563eb',
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values: points.map((point) => point.average_memory_usage_percent),
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valueFormatter: formatPercent,
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},
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]}
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/>
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</CardContent>
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</Card>
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);
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