ims/tests/components/dashboard/metrics.test.ts

import { describe, it, expect } from 'vitest'

// Pure helpers extracted (conceptually) from dashboard logic — tested here as standalone functions

function computeCapaOnTimeRate(
  capas: Array<{ due_date: string; completed_at: string | null; verified_at: string | null }>
): number | null {
  if (capas.length === 0) return null
  const onTime = capas.filter(c => {
    const due = new Date(c.due_date)
    const done = c.verified_at
      ? new Date(c.verified_at)
      : c.completed_at
        ? new Date(c.completed_at)
        : null
    return done !== null && done <= due
  })
  return Math.round((onTime.length / capas.length) * 100)
}

function classifyIndicators(incidents: Array<{ incident_type: string }>) {
  const leading = incidents.filter(i => ['hazard', 'near_miss'].includes(i.incident_type)).length
  const lagging = incidents.filter(i => i.incident_type === 'injury').length
  return { leading, lagging }
}

describe('CAPA on-time rate', () => {
  it('returns null for empty list', () => {
    expect(computeCapaOnTimeRate([])).toBeNull()
  })

  it('returns 100% when all CAPAs completed on time', () => {
    const capas = [
      { due_date: '2026-07-10', completed_at: '2026-07-09', verified_at: null },
      { due_date: '2026-07-10', completed_at: null, verified_at: '2026-07-08' },
    ]
    expect(computeCapaOnTimeRate(capas)).toBe(100)
  })

  it('returns 50% when half are late', () => {
    const capas = [
      { due_date: '2026-07-10', completed_at: '2026-07-09', verified_at: null },
      { due_date: '2026-07-10', completed_at: '2026-07-12', verified_at: null },
    ]
    expect(computeCapaOnTimeRate(capas)).toBe(50)
  })

  it('returns 0% when all CAPAs are overdue', () => {
    const capas = [
      { due_date: '2026-07-10', completed_at: '2026-07-15', verified_at: null },
    ]
    expect(computeCapaOnTimeRate(capas)).toBe(0)
  })
})

describe('leading vs lagging indicators', () => {
  it('counts hazard and near_miss as leading', () => {
    const incidents = [
      { incident_type: 'hazard' },
      { incident_type: 'near_miss' },
      { incident_type: 'injury' },
      { incident_type: 'fire' },
    ]
    const { leading, lagging } = classifyIndicators(incidents)
    expect(leading).toBe(2)
    expect(lagging).toBe(1)
  })
})