inq-roi-simulador-web/tests/lib/colors.test.ts

import { describe, it, expect } from 'vitest'
import {
  heatmapColorHex,
  computeActivityT,
  hasSignificantCostVariance,
  activityColor,
  NEUTRAL_HEATMAP_COLOR,
  type ActivityCostData,
} from '@/lib/colors'

// ─── Fixtures ─────────────────────────────────────────────────────────────────

function makeActs(costs: number[]): ActivityCostData[] {
  const total = costs.reduce((s, c) => s + c, 0) || 1
  return costs.map((c) => ({
    expectedTotalCost: Math.max(0, c),
    percentOfTotal: (c / total) * 100,
  }))
}

// ─── heatmapColorHex ─────────────────────────────────────────────────────────
describe('heatmapColorHex', () => {
  it('t=0 → verde (#10b981)', () => {
    expect(heatmapColorHex(0)).toBe('#10b981')
  })

  it('t=1 → rojo (#ef4444)', () => {
    expect(heatmapColorHex(1)).toBe('#ef4444')
  })

  it('t=0.5 → amarillo (#f59e0b)', () => {
    expect(heatmapColorHex(0.5)).toBe('#f59e0b')
  })

  it('t<0 → clampea a t=0 (verde)', () => {
    expect(heatmapColorHex(-1)).toBe(heatmapColorHex(0))
  })

  it('t>1 → clampea a t=1 (rojo)', () => {
    expect(heatmapColorHex(2)).toBe(heatmapColorHex(1))
  })

  it('devuelve string hex válido en formato #rrggbb', () => {
    for (const t of [0, 0.25, 0.5, 0.75, 1]) {
      const hex = heatmapColorHex(t)
      expect(hex).toMatch(/^#[0-9a-f]{6}$/)
    }
  })

  it('colores intermedios son distintos entre sí', () => {
    const colors = [0, 0.25, 0.5, 0.75, 1].map(heatmapColorHex)
    const unique = new Set(colors)
    expect(unique.size).toBe(5)
  })
})

// ─── hasSignificantCostVariance ──────────────────────────────────────────────
describe('hasSignificantCostVariance', () => {
  it('varianza cero: todos iguales → false', () => {
    expect(hasSignificantCostVariance(makeActs([100, 100, 100, 100, 100]))).toBe(false)
  })

  it('una sola actividad → false (no hay con qué comparar)', () => {
    expect(hasSignificantCostVariance(makeActs([500]))).toBe(false)
  })

  it('lista vacía → false', () => {
    expect(hasSignificantCostVariance([])).toBe(false)
  })

  it('varianza < 5%: costos casi iguales → false', () => {
    // rango = (103-100)/103 ≈ 2.9% < 5%
    expect(hasSignificantCostVariance(makeActs([100, 101, 102, 103]))).toBe(false)
  })

  it('varianza > 5%: costos claramente distintos → true', () => {
    // rango = (200-100)/200 = 50% > 5%
    expect(hasSignificantCostVariance(makeActs([100, 200]))).toBe(true)
  })

  it('varianza ≈ THRESHOLD (5%): está justo en el límite', () => {
    // rango = (105-100)/105 ≈ 4.76% < 5% → false
    expect(hasSignificantCostVariance(makeActs([100, 105]))).toBe(false)
    // rango = (111-100)/111 ≈ 9.9% > 5% → true
    expect(hasSignificantCostVariance(makeActs([100, 111]))).toBe(true)
  })

  it('no crashea con costos negativos (defensivo)', () => {
    expect(() => hasSignificantCostVariance(makeActs([-10, -5, 0]))).not.toThrow()
  })

  it('todos en cero → false (max=0)', () => {
    expect(hasSignificantCostVariance(makeActs([0, 0, 0]))).toBe(false)
  })
})

// ─── computeActivityT ────────────────────────────────────────────────────────
describe('computeActivityT — modo relativo', () => {
  it('actividad con mayor % → t = 1.0', () => {
    const acts = makeActs([300, 100, 50])
    const t = computeActivityT(acts[0], acts, 'relative')
    expect(t).toBeCloseTo(1.0)
  })

  it('actividad con menor costo → t < t de la más cara', () => {
    const acts = makeActs([300, 100, 50])
    const tBarata = computeActivityT(acts[2], acts, 'relative')
    const tCara = computeActivityT(acts[0], acts, 'relative')
    expect(tBarata).toBeLessThan(tCara)
  })

  it('t siempre está en [0, 1]', () => {
    const acts = makeActs([1000, 500, 100, 10])
    for (const act of acts) {
      const t = computeActivityT(act, acts, 'relative')
      expect(t).toBeGreaterThanOrEqual(0)
      expect(t).toBeLessThanOrEqual(1)
    }
  })

  it('lista vacía → t = 0 sin crash', () => {
    const act: ActivityCostData = { expectedTotalCost: 100, percentOfTotal: 100 }
    expect(computeActivityT(act, [], 'relative')).toBe(0)
  })
})

describe('computeActivityT — modo absoluto', () => {
  it('actividad más cara → t = 1.0', () => {
    const acts = makeActs([100, 200, 300])
    const t = computeActivityT(acts[2], acts, 'absolute')
    expect(t).toBeCloseTo(1.0)
  })

  it('actividad más barata → t = 0.0', () => {
    const acts = makeActs([100, 200, 300])
    const t = computeActivityT(acts[0], acts, 'absolute')
    expect(t).toBeCloseTo(0.0)
  })

  it('actividad del medio → t ≈ 0.5', () => {
    const acts = makeActs([100, 200, 300])
    const t = computeActivityT(acts[1], acts, 'absolute')
    expect(t).toBeCloseTo(0.5)
  })

  it('un solo precio (max=min) → t = 0.5 (defensivo)', () => {
    const acts = makeActs([100, 100])
    const t = computeActivityT(acts[0], acts, 'absolute')
    expect(t).toBe(0.5)
  })
})

// ─── activityColor — función unificada ───────────────────────────────────────
describe('activityColor', () => {
  it('SIN varianza significativa → TODOS devuelven NEUTRAL_HEATMAP_COLOR', () => {
    const acts = makeActs([100, 100, 100, 100, 100])
    for (const act of acts) {
      expect(activityColor(act, acts, 'relative')).toBe(NEUTRAL_HEATMAP_COLOR)
      expect(activityColor(act, acts, 'absolute')).toBe(NEUTRAL_HEATMAP_COLOR)
    }
  })

  it('CON varianza real modo relativo: la más cara NO es neutra', () => {
    const acts = makeActs([500, 100, 10])
    const color = activityColor(acts[0], acts, 'relative')
    expect(color).not.toBe(NEUTRAL_HEATMAP_COLOR)
  })

  it('CON varianza real modo relativo: la más cara es roja (#ef4444)', () => {
    const acts = makeActs([500, 100, 10])
    const colorCara = activityColor(acts[0], acts, 'relative')
    expect(colorCara).toBe('#ef4444')
  })

  it('CON varianza real modo relativo: la más barata es verde (#10b981)', () => {
    const acts = makeActs([500, 100, 10])
    const colorBarata = activityColor(acts[2], acts, 'relative')
    // No necesariamente exactamente verde, pero sí del espectro inferior
    // La más barata tiene percentOfTotal bajo / maxPercent bajo → t bajo → color verdoso
    expect(colorBarata).not.toBe('#ef4444')
  })

  it('CON varianza real modo absoluto: la más cara es roja', () => {
    const acts = makeActs([1000, 100, 10])
    const colorCara = activityColor(acts[0], acts, 'absolute')
    expect(colorCara).toBe('#ef4444')
  })

  it('CON varianza real modo absoluto: la más barata es verde', () => {
    const acts = makeActs([1000, 100, 10])
    const colorBarata = activityColor(acts[2], acts, 'absolute')
    expect(colorBarata).toBe('#10b981')
  })

  it('edge: costos negativos no crashean', () => {
    const acts = makeActs([0, 0, 0])
    expect(() => activityColor(acts[0], acts, 'relative')).not.toThrow()
  })

  it('simple-linear scenario: 5 actividades igual costo → todas neutras', () => {
    // Este es el caso de use real de simple-linear.bpmn con costos fijos iguales
    const acts = makeActs([100, 100, 100, 100, 100])
    const colors = acts.map((a) => activityColor(a, acts, 'relative'))
    expect(colors.every((c) => c === NEUTRAL_HEATMAP_COLOR)).toBe(true)
  })

  it('NEUTRAL_HEATMAP_COLOR es un hex válido y claramente distinto del gradiente', () => {
    expect(NEUTRAL_HEATMAP_COLOR).toMatch(/^#[0-9a-f]{6}$/)
    expect(NEUTRAL_HEATMAP_COLOR).not.toBe('#10b981') // no es verde
    expect(NEUTRAL_HEATMAP_COLOR).not.toBe('#f59e0b') // no es amarillo
    expect(NEUTRAL_HEATMAP_COLOR).not.toBe('#ef4444') // no es rojo
  })
})