design-system/src/mocks/metrics.ts

export interface KpiMetric {
  label: string
  value: string | number
  unit?: string
  trend: 'up' | 'down' | 'neutral'
  trendValue: string
  trendSentiment: 'good' | 'bad' | 'neutral'
  detail: string
  accent: 'amber' | 'success' | 'error' | 'running' | 'warning'
  sparkline: number[]
}

export interface TimeSeriesPoint {
  timestamp: Date
  value: number
}

export interface MetricSeries {
  label: string
  data: TimeSeriesPoint[]
}

// Generate a realistic time series for the past hours (06:00 - now ~09:15)
function generateTimeSeries(
  baseValue: number,
  variance: number,
  points: number,
): TimeSeriesPoint[] {
  const result: TimeSeriesPoint[] = []
  const now = new Date('2026-03-18T09:15:00')
  const start = new Date('2026-03-18T06:00:00')
  const totalMs = now.getTime() - start.getTime()
  const interval = totalMs / points

  for (let i = 0; i <= points; i++) {
    const ts = new Date(start.getTime() + i * interval)
    const noise = (Math.random() - 0.5) * 2 * variance
    const trend = (i / points) * (baseValue * 0.1) // slight upward trend
    result.push({ timestamp: ts, value: Math.max(0, baseValue + noise + trend) })
  }
  return result
}

// KPI stat cards data
export const kpiMetrics: KpiMetric[] = [
  {
    label: 'Exchanges',
    value: '3,241',
    trend: 'up',
    trendValue: '+12%',
    trendSentiment: 'good',
    detail: '97.1% success rate',
    accent: 'amber',
    sparkline: [28, 32, 29, 35, 38, 41, 37, 44, 42, 47, 45, 51, 48, 52],
  },
  {
    label: 'Success Rate',
    value: '97.1%',
    trend: 'down',
    trendValue: '-0.4%',
    trendSentiment: 'bad',
    detail: '3,147 ok / 56 warn / 38 error',
    accent: 'success',
    sparkline: [98.2, 97.9, 98.1, 97.8, 97.5, 97.6, 97.4, 97.2, 97.3, 97.1, 97.0, 97.1, 97.2, 97.1],
  },
  {
    label: 'Errors',
    value: 38,
    trend: 'up',
    trendValue: '+5',
    trendSentiment: 'bad',
    detail: '38 errors in selected period',
    accent: 'error',
    sparkline: [1, 2, 1, 3, 2, 4, 3, 5, 4, 6, 5, 7, 6, 8],
  },
  {
    label: 'Throughput',
    value: '47.2',
    unit: 'msg/s',
    trend: 'neutral',
    trendValue: '→',
    trendSentiment: 'neutral',
    detail: 'Capacity: 120 msg/s · 39%',
    accent: 'running',
    sparkline: [44, 46, 45, 47, 48, 46, 47, 48, 46, 47, 48, 47, 46, 47],
  },
  {
    label: 'Latency p99',
    value: 287,
    unit: 'ms',
    trend: 'up',
    trendValue: '+23ms',
    trendSentiment: 'bad',
    detail: 'SLA: <300ms · CLOSE',
    accent: 'warning',
    sparkline: [198, 212, 205, 218, 224, 231, 238, 245, 252, 261, 268, 275, 281, 287],
  },
]

// Time series chart data
export const throughputSeries: MetricSeries[] = [
  {
    label: 'order-service',
    data: generateTimeSeries(47, 8, 40),
  },
  {
    label: 'payment-svc',
    data: generateTimeSeries(28, 5, 40),
  },
  {
    label: 'shipment-svc',
    data: generateTimeSeries(19, 4, 40),
  },
]

export const latencySeries: MetricSeries[] = [
  {
    label: 'p50',
    data: generateTimeSeries(98, 15, 40),
  },
  {
    label: 'p95',
    data: generateTimeSeries(187, 25, 40),
  },
  {
    label: 'p99',
    data: generateTimeSeries(258, 35, 40),
  },
]

export const errorCountSeries: MetricSeries[] = [
  {
    label: 'payment-flow',
    data: generateTimeSeries(12, 4, 40),
  },
  {
    label: 'order-flow',
    data: generateTimeSeries(8, 3, 40),
  },
  {
    label: 'shipment-flow',
    data: generateTimeSeries(4, 2, 40),
  },
]

// Route-level metrics summary
export interface RouteMetricRow {
  routeId: string
  routeName: string
  appId: string
  exchangeCount: number
  successRate: number
  avgDurationMs: number
  p99DurationMs: number
  errorCount: number
  sparkline: number[]
}

export const routeMetrics: RouteMetricRow[] = [
  {
    routeId: 'order-intake',
    routeName: 'order-intake',
    appId: 'order-service',
    exchangeCount: 892,
    successRate: 99.2,
    avgDurationMs: 88,
    p99DurationMs: 142,
    errorCount: 7,
    sparkline: [82, 86, 84, 88, 91, 87, 90, 88, 85, 89, 88, 86, 89, 88],
  },
  {
    routeId: 'order-enrichment',
    routeName: 'order-enrichment',
    appId: 'order-service',
    exchangeCount: 541,
    successRate: 97.6,
    avgDurationMs: 156,
    p99DurationMs: 287,
    errorCount: 13,
    sparkline: [142, 148, 152, 158, 162, 155, 159, 164, 156, 160, 154, 158, 156, 156],
  },
  {
    routeId: 'payment-process',
    routeName: 'payment-process',
    appId: 'payment-svc',
    exchangeCount: 414,
    successRate: 96.1,
    avgDurationMs: 234,
    p99DurationMs: 412,
    errorCount: 16,
    sparkline: [210, 225, 232, 218, 241, 235, 228, 242, 238, 231, 244, 237, 233, 234],
  },
  {
    routeId: 'payment-validate',
    routeName: 'payment-validate',
    appId: 'payment-svc',
    exchangeCount: 498,
    successRate: 99.8,
    avgDurationMs: 142,
    p99DurationMs: 198,
    errorCount: 1,
    sparkline: [138, 141, 140, 143, 145, 142, 144, 141, 139, 143, 142, 140, 141, 142],
  },
  {
    routeId: 'shipment-dispatch',
    routeName: 'shipment-dispatch',
    appId: 'shipment-tracker',
    exchangeCount: 387,
    successRate: 98.4,
    avgDurationMs: 118,
    p99DurationMs: 248,
    errorCount: 6,
    sparkline: [112, 115, 118, 114, 120, 116, 119, 117, 118, 121, 116, 118, 119, 118],
  },
  {
    routeId: 'shipment-track',
    routeName: 'shipment-track',
    appId: 'shipment-tracker',
    exchangeCount: 923,
    successRate: 99.5,
    avgDurationMs: 94,
    p99DurationMs: 167,
    errorCount: 5,
    sparkline: [88, 91, 93, 95, 92, 94, 96, 93, 91, 95, 94, 92, 93, 94],
  },
  {
    routeId: 'notification-dispatch',
    routeName: 'notification-dispatch',
    appId: 'notification-hub',
    exchangeCount: 471,
    successRate: 98.9,
    avgDurationMs: 62,
    p99DurationMs: 124,
    errorCount: 5,
    sparkline: [58, 60, 63, 61, 64, 62, 60, 63, 65, 62, 61, 63, 62, 62],
  },
]