410 lines
19 KiB
TypeScript
410 lines
19 KiB
TypeScript
import { ChevronLeft } from 'lucide-react'
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import { useMemo } from 'react'
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import { IP_VERSIONS, lineIdFor } from '@shared/ipVersions'
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import { Link, useParams, useSearchParams } from 'react-router-dom'
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import { api } from '@shared/api/client'
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import type { LineDto, TestDto } from '@shared/api/types'
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import { TimeChart, type ChartSeries } from '@shared/charts/TimeChart'
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import { fmtAgo, fmtMbps, fmtMs, fmtNum, fmtPct, fmtTime } from '@shared/format'
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import { NodeTag, useNodeInfos } from '@shared/nodes'
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import { fmtBytes, useHosts } from '../live'
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import { useQuery } from '@shared/hooks'
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import { Chip, Dot, LoadingBar, Segmented, Spinner, Stat } from '@shared/ui'
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import { PageError, ScoreChips } from '../lib'
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import { Minimap } from '../Minimap'
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import { readSpec, usePeriod, usePeriodSeries, writeSpec } from '../periods'
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import { dayBounds, dayKey, RangePicker, WINDOWS, type WindowValue } from '../ranges'
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const MIN = 60_000
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function tone(value: number | null | undefined, good: number, poor: number): 'ok' | 'warn' | 'bad' | '' {
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if (value === null || value === undefined) return ''
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if (value <= good) return 'ok'
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if (value >= poor) return 'bad'
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return 'warn'
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}
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interface HostSeries {
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t: number[]
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values: Record<string, (number | null)[]>
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}
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/** 指标卡片：好坏的分界（越低越好）和显示格式。 */
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const TILES: { label: string; key: string; fmt: (v: number | null | undefined) => string; good?: number; poor?: number; unit?: string }[] = [
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{ label: 'UDP 延迟 p50', key: 'rtt.p50', fmt: fmtMs },
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{ label: 'UDP 延迟 p95', key: 'rtt.p95', fmt: fmtMs },
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{ label: 'UDP 丢包', key: 'loss.total', fmt: fmtPct, good: 0.5, poor: 3 },
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{ label: 'UDP 上行丢包', key: 'loss.up', fmt: fmtPct, good: 0.5, poor: 3 },
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{ label: 'UDP 下行丢包', key: 'loss.down', fmt: fmtPct, good: 0.5, poor: 3 },
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{ label: 'UDP 最长连续丢包', key: 'loss.run_max', fmt: fmtNum, unit: '包' },
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{ label: 'UDP 上行抖动 p95', key: 'jitter.up.p95', fmt: fmtMs },
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{ label: 'UDP 下行抖动 p95', key: 'jitter.down.p95', fmt: fmtMs },
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{ label: 'TCP RTT p50', key: 'tcp.rtt.p50', fmt: fmtMs },
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{ label: 'TCP RTT p99', key: 'tcp.rtt.p99', fmt: fmtMs },
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{ label: 'TCP RTT 最大', key: 'tcp.rtt.max', fmt: fmtMs },
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{ label: 'TCP 重传率', key: 'tcp.retrans', fmt: fmtPct, good: 0.5, poor: 3 },
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]
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interface ChartDef {
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id: string
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title: string
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unit: string
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zero?: boolean
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fill?: boolean
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series: { key: string; label: string; color: string; dash?: number[] }[]
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group: 'udp' | 'tcp' | 'score'
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/** 占满一行。 */
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wide?: boolean
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}
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const GROUPS = [
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{ id: 'udp', title: 'UDP（往返探测）' },
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{ id: 'tcp', title: 'TCP' },
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{ id: 'score', title: '评分' },
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] as const
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const CHARTS: ChartDef[] = [
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{ id: 'rtt', title: '延迟', group: 'udp', wide: true, unit: 'ms', series: [{ key: 'rtt.p50', label: 'p50', color: '--chart-1' }, { key: 'rtt.p95', label: 'p95', color: '--chart-2' }, { key: 'rtt.p99', label: 'p99', color: '--chart-3' }] },
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{ id: 'loss', title: '丢包', group: 'udp', unit: '%', series: [{ key: 'loss.up', label: '上行', color: '--chart-2' }, { key: 'loss.down', label: '下行', color: '--chart-3' }, { key: 'loss.total', label: '合计', color: '--chart-1', dash: [4, 3] }] },
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{ id: 'jitter', title: '抖动（p95）', group: 'udp', unit: 'ms', series: [{ key: 'jitter.up.p95', label: '上行', color: '--chart-2' }, { key: 'jitter.down.p95', label: '下行', color: '--chart-1' }] },
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{ id: 'tcp', title: '往返时延（RTT）', group: 'tcp', unit: 'ms', series: [{ key: 'tcp.rtt.p50', label: 'p50', color: '--chart-1' }, { key: 'tcp.rtt.p95', label: 'p95', color: '--chart-2' }, { key: 'tcp.rtt.max', label: '最大', color: '--chart-3' }] },
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{ id: 'retrans', title: '重传率', group: 'tcp', unit: '%', fill: true, series: [{ key: 'tcp.retrans', label: '重传率', color: '--chart-3' }] },
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{ id: 'score', title: '综合评分', group: 'score', wide: true, unit: '', series: [{ key: 'score.reality', label: 'REALITY', color: '--chart-1' }, { key: 'score.hy2', label: 'Hy2', color: '--chart-2' }, { key: 'score.mc', label: 'MC', color: '--chart-4' }, { key: 'score.base', label: '综合', color: '--chart-5', dash: [4, 3] }] },
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]
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/** EWMA 平滑的力度：系数越小越平滑（s = α·x + (1−α)·s）。 */
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const EWMA = [
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{ value: 'off', label: '关', alpha: 0 },
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{ value: 'low', label: '轻', alpha: 0.3 },
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{ value: 'mid', label: '中', alpha: 0.1 },
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{ value: 'high', label: '重', alpha: 0.03 },
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] as const
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type EwmaValue = (typeof EWMA)[number]['value']
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/** 指数加权移动平均；缺口（没有数据）处断开，缺口后重新开始，不会把缺口两边连在一起。 */
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function ewma(values: (number | null)[], alpha: number): (number | null)[] {
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let state: number | null = null
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return values.map((v) => {
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if (v === null || v === undefined) {
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state = null
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return null
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}
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state = state === null ? v : alpha * v + (1 - alpha) * state
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return state
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})
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}
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/** 主机状态：实时数据（SSE）每隔几秒来一次，只重绘这一块，不影响上面的图表。 */
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function HostCard({ agentId, range }: { agentId: string | undefined; range: string | null }) {
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const history = useQuery(
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() => (agentId && range ? api.get<HostSeries>(`/api/public/agents/${agentId}/host`, { range }) : Promise.resolve(undefined)),
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[agentId, range],
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30_000,
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)
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const { hosts } = useHosts()
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const host = agentId ? hosts.get(agentId)?.host : undefined
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const data = history.data
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const charts = useMemo(
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() =>
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data
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? {
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usage: [
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{ label: 'CPU', values: data.values['cpu'] ?? [], color: '--chart-1' },
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{ label: '内存', values: data.values['mem'] ?? [], color: '--chart-2' },
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{ label: '磁盘', values: data.values['disk'] ?? [], color: '--chart-4' },
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],
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speed: [
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{ label: '上行', values: data.values['tx_bps'] ?? [], color: '--chart-2' },
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{ label: '下行', values: data.values['rx_bps'] ?? [], color: '--chart-1' },
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],
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}
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: undefined,
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[data],
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)
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if (!host && !data) return null
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return (
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<div className="card">
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<div className="card-title">主机状态</div>
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{host ? (
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<div className="grid stats">
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<Stat label="CPU" value={host.cpu_percent === null ? '—' : host.cpu_percent.toFixed(0)} unit="%" />
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<Stat label="内存" value={host.mem_total ? ((100 * (host.mem_used ?? 0)) / host.mem_total).toFixed(0) : '—'} unit="%" />
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<Stat label="磁盘" value={host.disk_total ? ((100 * (host.disk_used ?? 0)) / host.disk_total).toFixed(0) : '—'} unit="%" />
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<Stat label="累计流量 ↑ / ↓" value={`${fmtBytes(host.net_tx_total)} / ${fmtBytes(host.net_rx_total)}`} />
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</div>
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) : null}
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{data && charts ? (
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<div className="grid cols-2" style={{ marginTop: 16 }}>
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<TimeChart t={data.t} unit="%" series={charts.usage} />
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<TimeChart t={data.t} unit=" B/s" series={charts.speed} />
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</div>
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) : null}
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</div>
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)
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}
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export function Line() {
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const { id = '' } = useParams()
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const [params, setParams] = useSearchParams()
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const line = useQuery(() => api.get<LineDto>(`/api/public/lines/${encodeURIComponent(id)}`), [id], 15_000)
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const infos = useNodeInfos()
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const ready = Boolean(line.data)
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const sinceMs = line.data?.data_since ? Date.parse(line.data.data_since) : null
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const nowMs = useMemo(() => Date.now(), [line.data])
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const todayStart = dayBounds(nowMs).start
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const spec = readSpec(params)
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const period = usePeriod(id, ready, sinceMs, nowMs, spec)
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const series = usePeriodSeries(id, ready, period)
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const update = (fn: (q: URLSearchParams) => void) => {
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const q = new URLSearchParams(params)
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fn(q)
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setParams(q, { replace: true })
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}
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const dayParam = (dayStart: number) => (dayStart === todayStart ? null : dayKey(dayStart))
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const changeDay = (next: { dayStart: number; window: WindowValue | null }) =>
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update((q) => writeSpec(q, { ...readSpec(q), day: dayParam(next.dayStart), range: next.window, at: null }))
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const selectRange = (fromMs: number, toMs: number) =>
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update((q) => {
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const a = Math.round((fromMs - period.dayStart) / MIN)
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const b = Math.round((toMs - period.dayStart) / MIN)
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writeSpec(q, { ...readSpec(q), day: dayParam(period.dayStart), range: null, at: `${a}_${b}` })
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})
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/** 点了一档时长。看的是最新的（今天、选区到现在）就继续看「最近一段」；否则保持选区的起点，往后取这么长。 */
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const pickLength = (w: WindowValue) =>
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update((q) => {
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const base = { ...readSpec(q), day: dayParam(period.dayStart) }
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const info = WINDOWS.find((x) => x.value === w)!
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if (w === 'day' || (period.isToday && (period.live || period.toMs >= nowMs - 2 * MIN))) {
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writeSpec(q, { ...base, range: w, at: null })
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return
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}
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const start = Math.min(period.fromMs, nowMs - info.ms)
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const a = Math.round((start - period.dayStart) / MIN)
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writeSpec(q, { ...base, range: null, at: `${a}_${a + info.ms / MIN}` })
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})
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const setScale = (scale: 24 | 48) =>
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update((q) => {
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const current = readSpec(q)
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// 换回 24 小时：跨零点的选区放不下了，回到默认
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writeSpec(q, { ...current, span: scale === 24 ? '24' : null, at: scale === 24 && period.domainMin > 1440 ? null : current.at })
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})
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const agentId = line.data?.agent_id
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const lastTestId = line.data?.last_test?.id
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const test = useQuery(() => (lastTestId ? api.get<TestDto>(`/api/public/tests/${lastTestId}`) : Promise.resolve(undefined)), [lastTestId])
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const smooth = EWMA.find((x) => x.value === params.get('ewma')) ?? EWMA[0]
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const s = series.data
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const m = s?.summary.metrics ?? {}
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const gaps = useMemo(() => (s?.gaps ?? []).map((g) => ({ from: Date.parse(g.from), to: Date.parse(g.to) })), [s])
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// 图表只在数据变化时更新；别的状态（加载中、实时推送）变化不会让它们闪
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const charts = useMemo(
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() =>
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s
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? GROUPS.map((group) => {
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const cards = CHARTS.filter((def) => def.group === group.id).map((def) => {
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const raw = def.series.map((x) => ({ x, values: s.values[x.key] ?? [] }))
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// 开了 EWMA：原始数据画成淡线垫在后面，平滑后的线画在上面
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const list: ChartSeries[] =
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smooth.alpha > 0
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? [
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...raw.map(({ x, values }) => ({ label: `${x.label}（原始）`, values, color: x.color, faint: true })),
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...raw.map(({ x, values }) => ({ label: x.label, values: ewma(values, smooth.alpha), color: x.color, dash: x.dash, fill: def.fill })),
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]
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: raw.map(({ x, values }) => ({ label: x.label, values, color: x.color, dash: x.dash, fill: def.fill }))
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if (!list.some((x) => x.values.some((v) => v !== null))) return null
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return { def, node: <TimeChart t={s.t} series={list} unit={def.unit} gaps={gaps} zero={def.zero !== false} height={def.wide ? 260 : 220} /> }
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})
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return { group, cards: cards.filter((c): c is NonNullable<typeof c> => c !== null) }
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}).filter((g) => g.cards.length > 0)
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: [],
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[s, gaps, smooth.alpha],
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)
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const loadingNow = !ready || series.busy
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const chartSections = charts.map(({ group, cards }) => (
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<section className="chart-section" key={group.id}>
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<h2>{group.title}</h2>
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<div className="grid cols-2">
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{cards.map(({ def, node }) => (
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<div className={`card chart-card has-loading ${def.wide ? 'wide' : ''}`} key={def.id}>
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<LoadingBar active={loadingNow} />
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<h3>{def.title}</h3>
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{node}
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</div>
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))}
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</div>
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</section>
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))
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const result = test.data?.result
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const peak = result?.metrics?.['tcp.bulk.peak.max']
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return (
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<main className="page">
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<div className="crumbs">
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<Link to={id.endsWith('~ipv6') ? '/?ip_version=ipv6' : '/'} className="row">
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<ChevronLeft size={16} />
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总览
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</Link>
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</div>
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<section className="hero">
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<h1>
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{line.data?.name ?? '线路'}
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{line.data ? <span className="muted" style={{ fontWeight: 400 }}> → {line.data.probe_name}</span> : null}
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</h1>
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<div className="row" style={{ marginTop: 12 }}>
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{IP_VERSIONS.map((v) => {
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const query = new URLSearchParams(params)
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query.set('ip_version', v.value)
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return (
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<Link key={v.value} className={`btn small${(id.endsWith('~ipv6') ? 'ipv6' : 'ipv4') === v.value ? ' primary' : ''}`} to={`/line/${encodeURIComponent(lineIdFor(id, v.value))}?${query.toString()}`}>
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{v.label}
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</Link>
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)
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})}
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{line.data && !line.data.ipv6_available && id.endsWith('~ipv6') ? <span className="muted">此 Agent 未配置 IPv6 地址</span> : null}
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</div>
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{line.data ? (
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<div className="row wrap" style={{ marginTop: 12 }}>
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<Dot tone={line.data.online && line.data.probe_connected ? 'ok' : line.data.online ? 'warn' : 'bad'} />
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<span className="muted">{line.data.online ? (line.data.probe_connected ? '在线' : 'Agent 在线，Probe 未连接') : 'Agent 离线'}</span>
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<span className="row" style={{ gap: 6 }}>
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<span className="faint">Agent</span>
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<NodeTag info={infos.get(line.data.agent_id)} />
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</span>
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<span className="row" style={{ gap: 6 }}>
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<span className="faint">Probe</span>
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<NodeTag info={infos.get(line.data.probe_id)} />
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</span>
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{line.data.labels.map((x) => (
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<Chip key={x}>{x}</Chip>
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))}
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{series.loading && !s ? <Spinner /> : null}
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</div>
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) : null}
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<div style={{ marginTop: 16 }}>
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<RangePicker
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dayStart={period.dayStart}
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fromMs={period.fromMs}
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toMs={period.toMs}
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onChange={changeDay}
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onWindow={pickLength}
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scale={period.domainMin > 1440 ? 48 : 24}
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onScale={setScale}
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sinceMs={sinceMs}
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nowMs={nowMs}
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spanMs={period.spanMs}
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>
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<Minimap
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domainStart={period.domainStart}
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domainMin={period.domainMin}
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t={period.overview.t}
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values={period.overview.loss}
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fromMs={period.fromMs}
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toMs={period.toMs}
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loading={!ready || period.busy}
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onSelect={selectRange}
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/>
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</RangePicker>
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</div>
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</section>
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<PageError error={line.error ?? series.error} />
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{!s && (loadingNow || !line.error) && !series.error ? (
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// 还没有数据：先摆出占位，每块上面有进度条
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<div className="stack" style={{ marginTop: 24 }}>
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<div className="tiles">
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{Array.from({ length: 12 }, (_, i) => (
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<div className="skeleton has-loading" key={i}>
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<LoadingBar active />
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</div>
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))}
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</div>
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<div className="skeleton chart has-loading">
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<LoadingBar active />
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</div>
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<div className="grid cols-2">
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{[0, 1].map((i) => (
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<div className="skeleton chart has-loading" key={i}>
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<LoadingBar active />
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</div>
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))}
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</div>
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</div>
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) : null}
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{s ? (
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<div className="stack" style={{ marginTop: 24 }}>
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<div className="tiles">
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<div className="tile scores-tile has-loading">
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<LoadingBar active={loadingNow} />
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<span className="k">评分</span>
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<ScoreChips metrics={m} />
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</div>
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{TILES.map((t) => (
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<Stat key={t.key} label={t.label} value={t.fmt(m[t.key])} unit={t.unit} tone={t.good !== undefined ? tone(m[t.key], t.good, t.poor ?? Infinity) : ''} />
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))}
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</div>
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<p className="faint">
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样本数：UDP {fmtNum(s.summary.samples['udp_echo'])} · TCP {fmtNum(s.summary.samples['tcp_echo'])}
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</p>
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{s.summary.coverage < 0.95 ? <p className="faint">这个时间段的数据覆盖率是 {(s.summary.coverage * 100).toFixed(0)}%，阴影部分是没有数据的时段。</p> : null}
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<div className="row" style={{ justifyContent: 'flex-end', gap: 8 }}>
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<span className="faint" title="指数加权移动平均：把线条磨平，看清趋势；原始数据以淡线垫在后面">
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EWMA 平滑
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</span>
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<Segmented<EwmaValue>
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options={EWMA.map((x) => ({ value: x.value, label: x.label }))}
|
||
value={smooth.value}
|
||
onChange={(v) => update((q) => (v === 'off' ? q.delete('ewma') : q.set('ewma', v)))}
|
||
/>
|
||
</div>
|
||
{chartSections}
|
||
|
||
<HostCard agentId={agentId} range={period.hostRange} />
|
||
|
||
{test.data && result ? (
|
||
<div className="card">
|
||
<div className="card-title">最近一次测试 · {test.data.plan}</div>
|
||
<div className="grid stats">
|
||
{peak !== undefined ? <Stat label="吞吐峰值" value={fmtMbps(peak)} /> : null}
|
||
{result.metrics['connect.success'] !== undefined ? <Stat label="建连成功率" value={fmtPct(result.metrics['connect.success'], 1)} /> : null}
|
||
{result.metrics['connect.tls_ms.p95'] !== undefined ? <Stat label="TLS 握手 p95" value={fmtMs(result.metrics['connect.tls_ms.p95'])} /> : null}
|
||
{result.metrics['hy2.sustainable_mbps'] !== undefined ? <Stat label="Hy2 可持续码率" value={fmtMbps(result.metrics['hy2.sustainable_mbps'])} /> : null}
|
||
{result.metrics['hy2.qos_onset_mbps'] !== undefined ? <Stat label="限速起点" value={fmtMbps(result.metrics['hy2.qos_onset_mbps'])} /> : null}
|
||
</div>
|
||
<p className="faint" style={{ marginTop: 12 }}>
|
||
{fmtTime(test.data.finished_at)}（{fmtAgo(test.data.finished_at)}）
|
||
</p>
|
||
</div>
|
||
) : null}
|
||
|
||
{s.events.length > 0 ? (
|
||
<div className="card">
|
||
<div className="card-title">事件</div>
|
||
<div className="event-list">
|
||
{s.events.slice(0, 20).map((e) => (
|
||
<div key={e.id}>
|
||
<span className="faint num" style={{ minWidth: 120 }}>
|
||
{fmtTime(e.at)}
|
||
</span>
|
||
<span>{e.kind}</span>
|
||
{e.detail ? <span className="muted mono">{e.detail}</span> : null}
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
) : null}
|
||
</div>
|
||
) : null}
|
||
</main>
|
||
)
|
||
}
|