#!/usr/bin/env npx tsx
/**
 * Manual E2E Test for Flex Tier Processing
 *
 * Run this script manually with your OpenAI API key:
 *
 *   OPENAI_API_KEY=sk-... npx tsx test/e2e-flex-manual.ts
 *
 * Or if you have the key in your environment:
 *
 *   npx tsx test/e2e-flex-manual.ts
 */

import { configure, resetContext, getExecutionTier, isFlexAvailable, getProvider } from '../src/context.js'
import { getFlexAdapter, type BatchItem } from '../src/batch-queue.js'

// Import the OpenAI adapter to register it
import '../src/batch/openai.js'

async function main() {
  console.log('\n🧪 E2E Flex Tier Test\n')

  // Check for API key
  if (!process.env.OPENAI_API_KEY) {
    console.error('❌ OPENAI_API_KEY environment variable is required')
    console.error('   Run with: OPENAI_API_KEY=sk-... npx tsx test/e2e-flex-manual.ts')
    process.exit(1)
  }

  console.log('✅ OpenAI API key found')

  // Configure
  configure({
    provider: 'openai',
    model: 'gpt-4o-mini',
    batchMode: 'auto',
    flexThreshold: 3,
    batchThreshold: 500,
  })

  console.log(`✅ Configured: provider=${getProvider()}, flexAvailable=${isFlexAvailable()}`)

  // Test 1: Basic flex processing
  console.log('\n📝 Test 1: Basic Flex Processing')
  console.log('   Creating 5 simple math prompts...')

  const adapter = getFlexAdapter('openai')

  const items: BatchItem[] = [
    { id: 'math_1', prompt: 'What is 2 + 2? Reply with just the number.', status: 'pending' },
    { id: 'math_2', prompt: 'What is 3 + 3? Reply with just the number.', status: 'pending' },
    { id: 'math_3', prompt: 'What is 4 + 4? Reply with just the number.', status: 'pending' },
    { id: 'math_4', prompt: 'What is 5 + 5? Reply with just the number.', status: 'pending' },
    { id: 'math_5', prompt: 'What is 6 + 6? Reply with just the number.', status: 'pending' },
  ]

  console.log('   Submitting via flex adapter...')
  const startTime = Date.now()

  try {
    const results = await adapter.submitFlex(items, { model: 'gpt-4o-mini' })
    const duration = Date.now() - startTime

    console.log(`   ✅ Completed in ${duration}ms`)
    console.log('   Results:')

    let allPassed = true
    const expected = ['4', '6', '8', '10', '12']

    results.forEach((result, i) => {
      const passed = result.status === 'completed' && result.result?.toString().includes(expected[i])
      const icon = passed ? '✅' : '❌'
      console.log(`     ${icon} ${result.id}: "${result.result}" (expected: ${expected[i]})`)
      if (!passed) allPassed = false
    })

    if (!allPassed) {
      console.log('\n⚠️  Some results did not match expected values')
    }
  } catch (error) {
    console.error(`   ❌ Error: ${error}`)
    process.exit(1)
  }

  // Test 2: Structured output
  console.log('\n📝 Test 2: Structured Output (JSON Schema)')

  const structuredItems: BatchItem[] = [
    {
      id: 'person_1',
      prompt: 'Generate a JSON object with name "Alice" and age 30. Format: {"name": "...", "age": ...}',
      schema: { name: 'string', age: 'number' },
      status: 'pending',
    },
    {
      id: 'person_2',
      prompt: 'Generate a JSON object with name "Bob" and age 25. Format: {"name": "...", "age": ...}',
      schema: { name: 'string', age: 'number' },
      status: 'pending',
    },
  ]

  try {
    const results = await adapter.submitFlex(structuredItems, { model: 'gpt-4o-mini' })

    console.log('   Results:')
    results.forEach((result) => {
      const obj = result.result as { name?: string; age?: number }
      console.log(`     ${result.id}: name="${obj?.name}", age=${obj?.age}`)
    })
    console.log('   ✅ Structured output works')
  } catch (error) {
    console.error(`   ❌ Error: ${error}`)
  }

  // Test 3: Token usage
  console.log('\n📝 Test 3: Token Usage Tracking')

  const usageItems: BatchItem[] = [
    { id: 'usage', prompt: 'Count from 1 to 10', status: 'pending' },
  ]

  try {
    const results = await adapter.submitFlex(usageItems, { model: 'gpt-4o-mini' })
    const usage = results[0].usage

    if (usage) {
      console.log(`   Prompt tokens: ${usage.promptTokens}`)
      console.log(`   Completion tokens: ${usage.completionTokens}`)
      console.log(`   Total tokens: ${usage.totalTokens}`)
      console.log('   ✅ Token usage tracking works')
    } else {
      console.log('   ⚠️  No usage data returned')
    }
  } catch (error) {
    console.error(`   ❌ Error: ${error}`)
  }

  // Test 4: Concurrent processing performance
  console.log('\n📝 Test 4: Concurrent Processing Performance')
  console.log('   Creating 10 items to test concurrency...')

  const concurrentItems: BatchItem[] = Array.from({ length: 10 }, (_, i) => ({
    id: `concurrent_${i}`,
    prompt: `What is ${i + 1} * 2? Reply with just the number.`,
    status: 'pending' as const,
  }))

  try {
    const startTime = Date.now()
    const results = await adapter.submitFlex(concurrentItems, { model: 'gpt-4o-mini' })
    const duration = Date.now() - startTime

    const successCount = results.filter((r) => r.status === 'completed').length
    console.log(`   ✅ Processed ${successCount}/10 items in ${duration}ms`)
    console.log(`   Average: ${Math.round(duration / 10)}ms per item`)

    if (duration < 10000) {
      console.log('   ✅ Concurrent processing is working (< 10s for 10 items)')
    } else {
      console.log('   ⚠️  Slower than expected, may not be fully concurrent')
    }
  } catch (error) {
    console.error(`   ❌ Error: ${error}`)
  }

  // Test 5: Tier selection
  console.log('\n📝 Test 5: Execution Tier Selection')

  console.log(`   1 item  → ${getExecutionTier(1)} (expected: immediate)`)
  console.log(`   3 item  → ${getExecutionTier(3)} (expected: flex, threshold=3)`)
  console.log(`   10 items → ${getExecutionTier(10)} (expected: flex)`)
  console.log(`   500 items → ${getExecutionTier(500)} (expected: batch)`)

  console.log('\n✨ E2E Tests Complete!\n')

  resetContext()
}

main().catch((error) => {
  console.error('Fatal error:', error)
  process.exit(1)
})