import { useMemo } from 'react'

import { KpiSparklineCard, type KpiSparklineMetric } from '@/components/patterns/kpi-sparkline-card'
import { kpiGridClassName } from '@/lib/ui-surface'
import { aggregateNetworkMetrics, runningJobCount } from '@/queries/overview'
import type { JobRow, ModuleRow, PeerRow, SpeakerRow } from '@/types/api'

function syntheticSparkline(seed: number, points = 9): number[] {
  const base = Math.max(4, seed)
  return Array.from({ length: points }, (_, i) =>
    Math.round(base * (0.82 + (i / points) * 0.18 + Math.sin(i + seed) * 0.04)),
  )
}

function buildMetrics({
  modules,
  peers,
  speakers,
  jobs,
  loading,
}: {
  modules: ModuleRow[]
  peers: PeerRow[]
  speakers: SpeakerRow[]
  jobs: JobRow[]
  loading?: boolean
}): KpiSparklineMetric[] {
  const enabledModules = modules.filter((m) => m.enabled !== false).length
  const network = aggregateNetworkMetrics(peers, speakers)
  const bgpPct =
    network.peersEnabled > 0
      ? Math.round((network.peersEstablished / network.peersEnabled) * 100)
      : 0
  const running = runningJobCount(jobs)
  const failedJobs = jobs.filter((j) =>
    ['failed', 'error', 'cancelled'].includes(j.status.toLowerCase()),
  ).length

  return [
    {
      id: 'bgp',
      title: 'BGP готовность',
      label: 'Установлено / включено',
      value: loading || network.peersEnabled === 0 ? '—' : `${bgpPct}%`,
      delta: loading ? '…' : bgpPct >= 90 ? 'стабильно' : 'внимание',
      deltaVariant: bgpPct >= 90 ? 'success-light' : bgpPct >= 50 ? 'warning-light' : 'destructive-light',
      detail: loading ? '' : `${network.peersEstablished} сессий`,
      tone: bgpPct >= 90 ? 'success' : bgpPct >= 50 ? 'warning' : 'danger',
      sparkline: syntheticSparkline(bgpPct || 40),
    },
    {
      id: 'modules',
      title: 'Модули',
      label: 'Активные списки',
      value: loading ? '—' : `${enabledModules}`,
      delta: loading ? '…' : `${modules.length} всего`,
      deltaVariant: 'primary-light',
      detail: loading ? '' : 'маршрутизация',
      tone: 'info',
      sparkline: syntheticSparkline(enabledModules || 3),
    },
    {
      id: 'speakers',
      title: 'Спикеры',
      label: 'В сети / всего',
      value: loading ? '—' : `${network.speakersOnline}/${network.speakersTotal}`,
      delta:
        loading || network.speakersTotal === 0
          ? '…'
          : network.speakersOnline === network.speakersTotal
            ? 'все в сети'
            : 'частично',
      deltaVariant:
        network.speakersOnline === network.speakersTotal ? 'success-light' : 'warning-light',
      detail: loading ? '' : 'live-снимок',
      tone: network.speakersOnline === network.speakersTotal ? 'success' : 'warning',
      sparkline: syntheticSparkline(network.speakersOnline || 2),
    },
    {
      id: 'jobs',
      title: 'Задачи',
      label: 'Активные / ошибки',
      value: loading ? '—' : String(running),
      delta: loading ? '…' : failedJobs > 0 ? `${failedJobs} ошибок` : 'без сбоев',
      deltaVariant: failedJobs > 0 ? 'destructive-light' : 'success-light',
      detail: loading ? '' : `${jobs.length} в выборке`,
      tone: failedJobs > 0 ? 'danger' : running > 0 ? 'info' : 'success',
      sparkline: syntheticSparkline(running + failedJobs || 1),
    },
  ]
}

export function DashboardKpiSparklineRow({
  modules,
  peers,
  speakers,
  jobs,
  loading,
}: {
  modules: ModuleRow[]
  peers: PeerRow[]
  speakers: SpeakerRow[]
  jobs: JobRow[]
  loading?: boolean
}) {
  const metrics = useMemo(
    () => buildMetrics({ modules, peers, speakers, jobs, loading }),
    [modules, peers, speakers, jobs, loading],
  )

  return (
    <section aria-label="KPI обзора" className={kpiGridClassName}>
      {metrics.map((metric) => (
        <KpiSparklineCard key={metric.id} metric={metric} />
      ))}
    </section>
  )
}