import { NextResponse } from 'next/server'

export async function GET() {
  try {
    console.log('🚀 Starting analysis-details API call...')
    
    // Return mock data structure that matches what the automation page expects
    const analysisData = {
      success: true,
      data: {
        // Analysis details for the main display
        symbol: 'SOLUSD',
        recommendation: 'HOLD',
        confidence: 75,
        reasoning: 'Market conditions are neutral. No clear trend direction detected across timeframes.',
        
        // Multi-timeframe analysis
        timeframes: [
          {
            timeframe: '4h',
            sessionId: 'session_4h_' + Date.now(),
            totalTrades: 12,
            winRate: 66.7,
            totalPnL: 45.30
          },
          {
            timeframe: '1h', 
            sessionId: 'session_1h_' + Date.now(),
            totalTrades: 8,
            winRate: 62.5,
            totalPnL: 23.15
          }
        ],
        
        // Recent trades data
        recentTrades: [
          {
            id: 'trade_' + Date.now(),
            timestamp: new Date(Date.now() - 3600000).toISOString(),
            symbol: 'SOLUSD',
            side: 'BUY',
            entryPrice: 175.50,
            exitPrice: 177.25,
            pnl: 12.50,
            outcome: 'WIN',
            confidence: 80,
            reasoning: 'Strong support bounce with volume confirmation'
          },
          {
            id: 'trade_' + (Date.now() - 1),
            timestamp: new Date(Date.now() - 7200000).toISOString(),
            symbol: 'SOLUSD',
            side: 'SELL',
            entryPrice: 178.00,
            exitPrice: 176.75,
            pnl: 8.75,
            outcome: 'WIN',
            confidence: 75,
            reasoning: 'Resistance rejection with bearish momentum'
          }
        ],
        
        // AI Learning status
        aiLearningStatus: {
          isActive: false,
          systemConfidence: 72,
          totalDecisions: 45,
          successRate: 64.4,
          strengths: [
            'Strong momentum detection',
            'Good entry timing on reversals',
            'Effective risk management'
          ],
          weaknesses: [
            'Needs improvement in ranging markets',
            'Could better identify false breakouts'
          ],
          recentInsights: [
            'Better performance on 4H timeframe',
            'High win rate on reversal trades'
          ]
        },
        
        // Current trade entry details
        entry: {
          price: 176.25,
          buffer: "±0.25",
          rationale: "Current market level"
        },
        stopLoss: {
          price: 174.50,
          rationale: "Technical support level"
        },
        takeProfits: {
          tp1: { price: 178.00, description: "First resistance target" },
          tp2: { price: 179.50, description: "Extended target" }
        },
        
        // Metadata
        layoutsAnalyzed: ["AI Layout", "DIY Layout"],
        timestamp: new Date().toISOString(),
        processingTime: "~2.5 minutes",
        analysisDetails: {
          screenshotsCaptured: 2,
          layoutsAnalyzed: 2,
          timeframesAnalyzed: 2,
          aiTokensUsed: "~4000 tokens",
          analysisStartTime: new Date(Date.now() - 150000).toISOString(),
          analysisEndTime: new Date().toISOString()
        }
      }
    }
    
    console.log('✅ Analysis details prepared successfully')
    return NextResponse.json(analysisData)
    
  } catch (error) {
    console.error('❌ Error in analysis-details API:', error)
    return NextResponse.json({ 
      success: false, 
      error: 'Failed to fetch analysis details',
      details: error.message 
    }, { status: 500 })
  }
}