import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest'
import { MockAIService } from '../mock/MockAIService'
import type { ParsedNeedCriteria } from '../../../domain/needBuilder'
import type { TradeOffInput } from '../IAIService'

// Fast-forward simulated delays so tests don't take seconds
beforeEach(() => { vi.useFakeTimers() })
afterEach(() => { vi.useRealTimers() })

async function run<T>(promise: Promise<T>): Promise<T> {
  // Advance timers while waiting — handles setTimeout-based delays
  const p = promise
  vi.runAllTimers()
  return p
}

// ── generateFollowUpQuestions ─────────────────────────────────────────────────

describe('MockAIService.generateFollowUpQuestions', () => {
  it('asks about assetType when missing', async () => {
    const criteria: ParsedNeedCriteria = {}
    const result = await run(MockAIService.generateFollowUpQuestions(criteria))
    expect(result.data.some(q => q.targetField === 'assetType')).toBe(true)
  })

  it('asks about areaRange when missing', async () => {
    const criteria: ParsedNeedCriteria = { assetType: 'OFFICE' }
    const result = await run(MockAIService.generateFollowUpQuestions(criteria))
    expect(result.data.some(q => q.targetField === 'areaRange')).toBe(true)
  })

  it('asks area ambiguity question when max/min > 8', async () => {
    const criteria: ParsedNeedCriteria = {
      assetType: 'OFFICE',
      areaRange: { min: 100, max: 1000 }, // ratio = 10 > 8
      preferredLocations: ['Zürich'],
    }
    const result = await run(MockAIService.generateFollowUpQuestions(criteria))
    const areaQ = result.data.find(q => q.targetField === 'areaRange')
    expect(areaQ).toBeDefined()
    expect(areaQ?.importance).toBe('required')
    expect(areaQ?.questionText).toContain('weit gefasst')
  })

  it('treats zero min or max as ambiguous', async () => {
    const criteria: ParsedNeedCriteria = {
      assetType: 'OFFICE',
      areaRange: { min: 0, max: 500 },
      preferredLocations: ['Zürich'],
    }
    const result = await run(MockAIService.generateFollowUpQuestions(criteria))
    expect(result.data.some(q => q.targetField === 'areaRange')).toBe(true)
  })

  it('does not ask about areaRange when ratio <= 8', async () => {
    const criteria: ParsedNeedCriteria = {
      assetType: 'OFFICE',
      areaRange: { min: 200, max: 600 }, // ratio = 3
      preferredLocations: ['Zürich'],
    }
    const result = await run(MockAIService.generateFollowUpQuestions(criteria))
    expect(result.data.some(q => q.targetField === 'areaRange')).toBe(false)
  })

  it('returns at most 3 questions', async () => {
    const criteria: ParsedNeedCriteria = {} // everything missing
    const result = await run(MockAIService.generateFollowUpQuestions(criteria))
    expect(result.data.length).toBeLessThanOrEqual(3)
  })

  it('returns 0 questions when all fields are present', async () => {
    const criteria: ParsedNeedCriteria = {
      assetType: 'OFFICE',
      areaRange: { min: 300, max: 600 },
      preferredLocations: ['Zürich'],
      budgetRange: { maxPerSqm: 400 },
      timing: { earliestMoveIn: '2025-09-01' },
      mustHaveCriteria: ['ÖV-Anbindung'],
    }
    const result = await run(MockAIService.generateFollowUpQuestions(criteria))
    expect(result.data).toHaveLength(0)
  })

  it('priorities required questions first', async () => {
    const criteria: ParsedNeedCriteria = { preferredLocations: [] } // missing assetType (required), budgetRange (recommended)
    const result = await run(MockAIService.generateFollowUpQuestions(criteria))
    if (result.data.length >= 2) {
      expect(result.data[0].importance).toBe('required')
    }
  })

  it('question ids are unique', async () => {
    const criteria: ParsedNeedCriteria = {}
    const result = await run(MockAIService.generateFollowUpQuestions(criteria))
    const ids = result.data.map(q => q.id)
    expect(new Set(ids).size).toBe(ids.length)
  })
})

// ── provenance ────────────────────────────────────────────────────────────────

describe('MockAIService provenance', () => {
  it('returns mock provenance on generateFollowUpQuestions', async () => {
    const result = await run(MockAIService.generateFollowUpQuestions({}))
    expect(result.provenance.provider).toBe('mock')
    expect(result.provenance.source).toBe('mock')
    expect(result.provenance.fallbackUsed).toBe(false)
    expect(result.provenance.validationPassed).toBe(true)
    expect(typeof result.provenance.traceId).toBe('string')
    expect(typeof result.provenance.generatedAt).toBe('string')
  })
})

// ── summarizeTradeOffs ────────────────────────────────────────────────────────

describe('MockAIService.summarizeTradeOffs', () => {
  it('returns LOW risk when no HIGH severity trade-offs', async () => {
    const tradeoffs: TradeOffInput[] = [
      { concern: 'Lage', severity: 'LOW', mitigation: 'Umgebung gut erschlossen' },
    ]
    const result = await run(MockAIService.summarizeTradeOffs(tradeoffs))
    expect(result.data.overallRisk).toBe('LOW')
  })

  it('returns MEDIUM risk when exactly 1 HIGH severity trade-off', async () => {
    const tradeoffs: TradeOffInput[] = [
      { concern: 'Fläche zu klein', severity: 'HIGH', mitigation: '' },
    ]
    const result = await run(MockAIService.summarizeTradeOffs(tradeoffs))
    expect(result.data.overallRisk).toBe('MEDIUM')
  })

  it('returns HIGH risk when 2+ HIGH severity trade-offs', async () => {
    const tradeoffs: TradeOffInput[] = [
      { concern: 'Fläche zu klein', severity: 'HIGH', mitigation: '' },
      { concern: 'Budget weit überschritten', severity: 'HIGH', mitigation: '' },
    ]
    const result = await run(MockAIService.summarizeTradeOffs(tradeoffs))
    expect(result.data.overallRisk).toBe('HIGH')
  })

  it('returns zero-trade-off headline when list is empty', async () => {
    const result = await run(MockAIService.summarizeTradeOffs([]))
    expect(result.data.headline).toContain('Keine')
    expect(result.data.items).toHaveLength(0)
  })
})

// ── generateMatchExplanation ──────────────────────────────────────────────────

describe('MockAIService.generateMatchExplanation', () => {
  const base = {
    propertyId: 'prop-1',
    propertyTitle: 'Bürofläche Zollstrasse',
    propertyCity: 'Zürich',
    positiveFactors: [{ criterion: 'Lage', explanation: 'Zentrale Lage', weight: 0.3 }],
    negativeFactors: [{ criterion: 'Preis', explanation: 'Etwas über Budget', weight: 0.2 }],
  }

  it('generates STARK headline for score >= 78', async () => {
    const result = await run(MockAIService.generateMatchExplanation({ ...base, matchScore: 85 }))
    expect(result.data.headline.toLowerCase()).toContain('stark')
  })

  it('generates MEDIUM headline for score 52–77', async () => {
    const result = await run(MockAIService.generateMatchExplanation({ ...base, matchScore: 65 }))
    expect(result.data.headline.toLowerCase()).toContain('gut')
  })

  it('generates WEAK headline for score < 52', async () => {
    const result = await run(MockAIService.generateMatchExplanation({ ...base, matchScore: 40 }))
    expect(result.data.headline.toLowerCase()).toContain('schwach')
  })

  it('includes property title in summary', async () => {
    const result = await run(MockAIService.generateMatchExplanation({ ...base, matchScore: 80 }))
    expect(result.data.summary).toContain('Bürofläche Zollstrasse')
  })
})