#!/usr/bin/env npx tsx
/**
 * E2E Test for Flex Tier via Cloudflare AI Gateway
 *
 * This test uses the Cloudflare AI Gateway to route requests to OpenAI,
 * using the AI_GATEWAY_TOKEN and AI_GATEWAY_URL environment variables.
 *
 * Run with:
 *   npx tsx test/e2e-flex-gateway.ts
 */

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

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

  // Check for gateway config
  const gatewayUrl = process.env.AI_GATEWAY_URL
  const gatewayToken = process.env.AI_GATEWAY_TOKEN

  if (!gatewayUrl || !gatewayToken) {
    console.error('❌ AI_GATEWAY_URL and AI_GATEWAY_TOKEN environment variables are required')
    console.error('   These should be in .env at the repo root')
    process.exit(1)
  }

  console.log(`✅ Gateway URL: ${gatewayUrl}`)
  console.log('✅ Gateway Token found')

  // Configure OpenAI adapter to use the gateway
  // The gateway URL format is: https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}
  // We need to append /openai to route to OpenAI
  const openaiGatewayUrl = `${gatewayUrl}/openai`
  console.log(`   Using base URL: ${openaiGatewayUrl}`)

  configureOpenAI({
    apiKey: gatewayToken,
    baseUrl: openaiGatewayUrl,
  })

  // Configure context
  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 3 simple prompts...')

  const items: BatchItem[] = [
    { id: 'test_1', prompt: 'Say "hello" and nothing else.', status: 'pending' },
    { id: 'test_2', prompt: 'Say "world" and nothing else.', status: 'pending' },
    { id: 'test_3', prompt: 'Say "test" and nothing else.', status: 'pending' },
  ]

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

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

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

    results.forEach((result) => {
      const status = result.status === 'completed' ? '✅' : '❌'
      console.log(`     ${status} ${result.id}: "${result.result}"`)
      if (result.error) {
        console.log(`        Error: ${result.error}`)
      }
    })

    const successCount = results.filter((r) => r.status === 'completed').length
    if (successCount === results.length) {
      console.log(`   ✅ All ${successCount} items completed successfully`)
    } else {
      console.log(`   ⚠️  ${successCount}/${results.length} items completed`)
    }
  } catch (error) {
    console.error(`   ❌ Error: ${error}`)
    process.exit(1)
  }

  // Test 2: Token usage
  console.log('\n📝 Test 2: Token Usage Tracking')

  const usageItems: BatchItem[] = [
    { id: 'usage', prompt: 'Count from 1 to 5', status: 'pending' },
  ]

  try {
    const results = await openaiFlexAdapter.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 3: Concurrent processing
  console.log('\n📝 Test 3: Concurrent Processing (5 items)')

  const concurrentItems: BatchItem[] = Array.from({ length: 5 }, (_, i) => ({
    id: `concurrent_${i}`,
    prompt: `What is ${i + 1} + ${i + 1}? Reply with just the number.`,
    status: 'pending' as const,
  }))

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

    const successCount = results.filter((r) => r.status === 'completed').length
    console.log(`   ✅ Processed ${successCount}/5 items in ${duration}ms`)
    console.log(`   Average: ${Math.round(duration / 5)}ms per item`)

    results.forEach((result) => {
      console.log(`     ${result.id}: "${result.result}"`)
    })
  } catch (error) {
    console.error(`   ❌ Error: ${error}`)
  }

  // Test 4: Tier selection
  console.log('\n📝 Test 4: Execution Tier Selection')

  console.log(`   1 item   → ${getExecutionTier(1)} (expected: immediate)`)
  console.log(`   3 items  → ${getExecutionTier(3)} (expected: flex)`)
  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)
})