trading_bot_v3/app/api/enhanced-screenshot/route.ts

import { NextRequest, NextResponse } from 'next/server'
import { enhancedScreenshotService } from '../../../lib/enhanced-screenshot-simple'
import { AIAnalysisService } from '../../../lib/ai-analysis'

export async function POST(req: NextRequest) {
  try {
    const { symbol, timeframe, layouts, credentials, analyze = false } = await req.json()
    
    if (!symbol) {
      return NextResponse.json({ error: 'Missing symbol' }, { status: 400 })
    }
    
    console.log('Enhanced screenshot API called with:', { symbol, timeframe, layouts, analyze })
    
    const config = {
      symbol,
      timeframe: timeframe || '240',
      layouts: layouts || ['ai', 'diy'],
      credentials
    }
    
    const screenshots = await enhancedScreenshotService.captureWithLogin(config)
    
    let analysis = null
    if (analyze && screenshots.length > 0) {
      console.log('🤖 Starting AI analysis of screenshots...')
      try {
        const aiAnalysisService = new AIAnalysisService()
        
        // Extract filenames from screenshot paths for analysis
        const filenames = screenshots.map(path => path.split('/').pop() || '').filter(Boolean)
        
        if (filenames.length > 0) {
          console.log(`🔍 Analyzing ${filenames.length} screenshots: ${filenames.join(', ')}`)
          
          if (filenames.length === 1) {
            // Single screenshot analysis
            analysis = await aiAnalysisService.analyzeScreenshot(filenames[0])
          } else {
            // Multi-screenshot analysis for comprehensive trading advice
            analysis = await aiAnalysisService.analyzeMultipleScreenshots(filenames)
          }
          
          console.log('✅ AI analysis completed:', analysis ? 'Success' : 'Failed')
        } else {
          console.warn('⚠️ No valid screenshot filenames found for analysis')
        }
      } catch (analysisError: any) {
        console.error('❌ AI analysis failed:', analysisError.message)
        // Don't fail the whole request if analysis fails
      }
    }
    
    const response = { 
      success: true,
      screenshots,
      analysis,
      message: `Captured ${screenshots.length} screenshot(s) for ${symbol} with layouts: ${layouts?.join(', ') || 'default'}`
    }
    
    if (analysis) {
      response.message += '. AI analysis completed.'
    }
    
    return NextResponse.json(response)
    
  } catch (error: any) {
    console.error('Enhanced screenshot API error:', error)
    return NextResponse.json({ 
      error: error.message,
      success: false 
    }, { status: 500 })
  }
}

export async function GET() {
  return NextResponse.json({ 
    message: 'Enhanced Screenshot API',
    methods: ['POST'],
    example: {
      symbol: 'SOLUSD',
      timeframe: '240',
      layouts: ['ai', 'diy']
    }
  })
}