// Simple automation service for basic start/stop functionality

import { SimplifiedStopLossLearner } from './simplified-stop-loss-learner-fixed.js';

// Import AI Leverage Calculator for dynamic leverage
async function importAILeverageCalculator() {
  try {
    const { AILeverageCalculator } = await import('./ai-leverage-calculator.js');
    return AILeverageCalculator;
  } catch (error) {
    console.warn('⚠️ AI Leverage Calculator not available, using default leverage');
    return null;
  }
}

// Import Enhanced Risk Manager with Learning for intelligent beach mode operation
async function importEnhancedRiskManager() {
  try {
    const EnhancedAutonomousRiskManager = require('./enhanced-autonomous-risk-manager.js');
    return EnhancedAutonomousRiskManager;
  } catch (error) {
    console.warn('⚠️ Enhanced Risk Manager not available, falling back to stable monitor');
    // Fallback to stable risk monitor
    try {
      const StableRiskMonitor = require('./stable-risk-monitor.js');
      return StableRiskMonitor;
    } catch (fallbackError) {
      console.warn('⚠️ Stable Risk Monitor also not available, using basic monitoring');
      return null;
    }
  }
}

class SimpleAutomation {
  constructor() {
    this.isRunning = false;
    this.config = null;
    this.intervalId = null;
    this.riskManager = null; // Autonomous AI Risk Manager
    this.lastDecision = null; // Store last AI decision for UI display
    this.lastDCATime = 0; // Track last DCA execution time
    this.dcaCooldownHours = 2; // Minimum 2 hours between DCA trades
    
    // Initialize AI Learning System
    this.learner = new SimplifiedStopLossLearner();
    console.log('🧠 AI Learning System initialized');
    
    this.stats = {
      totalCycles: 0,
      totalTrades: 0,
      startTime: null,
      lastActivity: null,
      status: 'Stopped',
      networkErrors: 0,
      consecutiveErrors: 0
    };
  }

  async start(config) {
    try {
      if (this.isRunning) {
        return { success: false, message: 'Automation already running' };
      }

      // Validate basic config
      if (!config.selectedTimeframes || config.selectedTimeframes.length === 0) {
        return { success: false, message: 'At least one timeframe required' };
      }

      this.config = config;
      this.isRunning = true;
      this.stats.startTime = new Date().toISOString();
      this.stats.status = 'Running';
      
      console.log('✅ AUTOMATION STATUS: isRunning =', this.isRunning);
      console.log('🎯 LIVE TRADING:', this.config.enableTrading ? 'ENABLED' : 'DISABLED');
      this.stats.totalCycles = 0;

            // Initialize Enhanced AI Risk Manager with Learning Capabilities
      try {
        const EnhancedRiskManagerClass = await importEnhancedRiskManager();
        if (EnhancedRiskManagerClass) {
          this.riskManager = new EnhancedRiskManagerClass();
          console.log('🧠 ENHANCED BEACH MODE: AI learning system activated');
          console.log('🎯 System will learn from every decision and improve over time');
          
          // Start enhanced autonomous operation
          setTimeout(() => {
            if (this.riskManager && this.riskManager.beachMode) {
              this.riskManager.beachMode();
              console.log('🏖️ Full autonomous operation with AI learning active');
            }
          }, 2000);
        }
      } catch (error) {
        console.log('🔄 Continuing without enhanced autonomous risk monitoring');
        console.error('Risk manager initialization error:', error.message);
      }

      // Auto-enable trading when in LIVE mode
      if (config.mode === 'LIVE') {
        this.config.enableTrading = true;
        console.log('🔥 LIVE TRADING ENABLED: Real trades will be executed');
      } else {
        this.config.enableTrading = false;
        console.log('📊 SIMULATION MODE: Trades will be simulated only');
      }

      // Detect strategy
      const timeframes = config.selectedTimeframes;
      let strategy = 'General';
      
      const isScalping = timeframes.includes('5') || timeframes.includes('15') || timeframes.includes('30');
      const isDayTrading = timeframes.includes('60') || timeframes.includes('120');
      const isSwingTrading = timeframes.includes('240') || timeframes.includes('D');
      
      if (isScalping) strategy = 'Scalping';
      else if (isDayTrading) strategy = 'Day Trading';
      else if (isSwingTrading) strategy = 'Swing Trading';

      console.log('SIMPLE AUTOMATION: Starting ' + strategy + ' strategy');
      console.log('TIMEFRAMES: [' + timeframes.join(', ') + ']');
      console.log('MODE: ' + (config.mode || 'SIMULATION'));

      // Start dynamic monitoring cycle with risk-based intervals
      console.log('🚀 STARTING: Dynamic monitoring with scalping optimization');
      this.currentInterval = 30 * 1000; // Start with 30 seconds for immediate analysis
      this.startDynamicMonitoring();

      // First cycle after 5 seconds (immediate for scalping)
      setTimeout(() => {
        console.log('🔥 IMMEDIATE CYCLE: Starting first analysis cycle');
        this.runCycle();
      }, 5000);

      return { 
        success: true, 
        message: strategy + ' automation started successfully',
        strategy: strategy,
        timeframes: timeframes
      };

    } catch (error) {
      console.error('Failed to start automation:', error);
      return { success: false, message: 'Failed to start automation: ' + error.message };
    }
  }

  async stop() {
    try {
      console.log('🛑 STOPPING AUTOMATION...');
      this.isRunning = false;
      this.stats.status = 'Stopped';
      console.log('✅ AUTOMATION STATUS: isRunning =', this.isRunning);

      if (this.intervalId) {
        clearTimeout(this.intervalId); // Changed from clearInterval to clearTimeout
        this.intervalId = null;
      }

      // Stop risk monitor if running
      if (this.riskManager && this.riskManager.stop) {
        this.riskManager.stop();
        console.log('🏖️ Beach mode monitoring stopped');
      }

      console.log('SIMPLE AUTOMATION: Stopped');
      
      return { success: true, message: 'Automation stopped successfully' };
    } catch (error) {
      console.error('Failed to stop automation:', error);
      return { success: false, message: 'Failed to stop automation: ' + error.message };
    }
  }

  // Dynamic monitoring with risk-based intervals
  startDynamicMonitoring() {
    const runMonitoringCycle = async () => {
      if (!this.isRunning) return;
      
      await this.runCycle();
      
      // Get current risk level from position monitor
      const nextInterval = await this.getNextInterval();
      
      // Schedule next cycle with dynamic interval
      this.intervalId = setTimeout(runMonitoringCycle, nextInterval);
    };
    
    // Start the dynamic cycle
    this.intervalId = setTimeout(runMonitoringCycle, this.currentInterval);
  }

  // Determine next interval based on risk level and position status
  async getNextInterval() {
    try {
      // Check position monitor for current risk level AND position status
      const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
      const response = await fetch(`${baseUrl}/api/automation/position-monitor`);
      
      if (response.ok) {
        const data = await response.json();
        const riskLevel = data.monitor?.riskLevel || 'NONE';
        const hasPosition = data.monitor?.hasPosition;
        const recommendation = data.monitor?.recommendation;
        
        // Get timeframe-based intervals (scalping needs faster analysis)
        const baseInterval = this.getTimeframeBasedIntervals();
        
        // 🚨 SCALPING LOGIC: No position = IMMEDIATE re-entry scanning
        if (!hasPosition && recommendation === 'START_TRADING') {
          const isScalping = this.config.selectedTimeframes?.includes('5m') || 
                            this.config.selectedTimeframes?.includes('15m');
          
          if (isScalping) {
            // Ultra-fast intervals for scalping when no position
            const scalpingInterval = 2 * 60 * 1000; // 2 minutes for immediate re-entry
            console.log('🏃‍♂️ SCALPING ALERT: No position - scanning every 2 minutes for re-entry');
            this.currentInterval = scalpingInterval;
            return scalpingInterval;
          } else {
            // Fast intervals for day trading when no position
            const dayTradingInterval = 5 * 60 * 1000; // 5 minutes for day trading
            console.log('⚡ DAY TRADING: No position - scanning every 5 minutes for re-entry');
            this.currentInterval = dayTradingInterval;
            return dayTradingInterval;
          }
        }
        
        // Risk-based multipliers for existing positions
        let riskMultiplier;
        switch (riskLevel) {
          case 'CRITICAL':
            riskMultiplier = 0.5; // 50% faster when critical
            break;
          case 'HIGH':
            riskMultiplier = 0.7; // 30% faster when high risk
            break;
          case 'MEDIUM':
            riskMultiplier = 1.0; // Normal speed
            break;
          case 'LOW':
            riskMultiplier = 1.5; // 50% slower when low risk
            break;
          case 'NONE':
          default:
            // For NONE risk (no position), use base interval but don't slow down
            riskMultiplier = hasPosition ? 1.0 : 0.8; // Slightly faster when no position
        }
        
        const finalInterval = Math.round(baseInterval * riskMultiplier);
        const finalMinutes = finalInterval / (60 * 1000);
        
        console.log(`📊 Risk: ${riskLevel} | Position: ${hasPosition ? 'YES' : 'NO'} | Interval: ${finalMinutes} min`);
        console.log(`⚡ Optimized for ${this.getSelectedTimeframes().join(',') || 'default'} timeframes`);
        
        const intervalMs = finalInterval;
        
        console.log(`📊 DYNAMIC INTERVAL: Risk level ${riskLevel} → Next analysis in ${finalMinutes} minutes`);
        
        this.currentInterval = intervalMs;
        return intervalMs;
      }
    } catch (error) {
      console.warn('⚠️ Failed to get risk level for dynamic interval, using default 10 minutes:', error.message);
    }
    
    // Fallback to 10 minutes
    this.currentInterval = 10 * 60 * 1000;
    return this.currentInterval;
  }

  async runCycle() {
    try {
      // Check if automation should still be running
      if (!this.isRunning) {
        console.log('⏹️ AUTOMATION STOPPED: Skipping cycle');
        return;
      }
      
      this.stats.totalCycles++;
      this.stats.lastActivity = new Date().toISOString();
      
      console.log('🔄 AUTOMATION CYCLE ' + this.stats.totalCycles + ': ' + (this.config?.symbol || 'SOLUSD'));
      console.log('⏰ TIME: ' + new Date().toLocaleTimeString());
      console.log('📊 STRATEGY: ' + (this.config.selectedTimeframes?.join(', ') || 'N/A') + ' timeframes');
      
      if (this.config) {
        // Perform actual analysis using enhanced screenshot API
        await this.performAnalysis();
        
        // Reset error counter on successful cycle
        this.stats.consecutiveErrors = 0;
      }
      
    } catch (error) {
      console.error('❌ CRITICAL ERROR in automation cycle:', error);
      console.error('❌ Stack trace:', error.stack);
      
      // Increment error counter
      this.stats.consecutiveErrors = (this.stats.consecutiveErrors || 0) + 1;
      
      // If too many consecutive errors, stop automation
      if (this.stats.consecutiveErrors >= 3) {
        console.error('🚨 TOO MANY ERRORS: Stopping automation after', this.stats.consecutiveErrors, 'consecutive failures');
        this.isRunning = false;
        this.stats.status = 'Stopped due to errors';
        
        if (this.intervalId) {
          clearTimeout(this.intervalId); // Changed from clearInterval to clearTimeout
          this.intervalId = null;
        }
        return;
      }
      
      console.log(`⚠️ Error ${this.stats.consecutiveErrors}/3 - Will retry next cycle`);
    }
  }

  async performAnalysis() {
    console.log(`📊 ANALYSIS CYCLE: Starting analysis for ${this.config.selectedTimeframes.length} timeframes...`);
    
    try {
      // 🚨 STEP 1: Check position monitor FIRST to determine market status
      const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
      
      let hasPosition = false;
      let recommendation = 'HOLD';
      let activeOrders = 0;
      
      try {
        console.log('🔍 Checking position monitor status...');
        const monitorResponse = await fetch(`${baseUrl}/api/automation/position-monitor`);
        
        if (monitorResponse.ok) {
          const monitorData = await monitorResponse.json();
          hasPosition = monitorData.monitor?.hasPosition || false;
          recommendation = monitorData.monitor?.recommendation || 'HOLD';
          activeOrders = monitorData.monitor?.orphanedOrderCleanup?.summary?.activeOrders || 0;
          
          console.log(`📍 POSITION STATUS: ${hasPosition ? 'ACTIVE POSITION' : 'NO POSITION'}`);
          console.log(`🎯 MONITOR RECOMMENDATION: ${recommendation}`);
          console.log(`📋 ACTIVE ORDERS: ${activeOrders}`);
        } else {
          console.warn(`⚠️ Position monitor API error: ${monitorResponse.status}`);
        }
      } catch (monitorError) {
        console.warn('⚠️ Could not fetch position monitor, using defaults:', monitorError.message);
      }
      
      // 🚨 NO POSITION SCENARIO - SCALPING MODE
      if (!hasPosition) {
        console.log('🏃‍♂️ SCALPING MODE: No position detected - aggressive re-entry needed');
        
        // 🧹 MANDATORY CLEANUP: Always clear ALL orders before re-entry (regardless of count)
        console.log('🧹 MANDATORY CLEANUP: Clearing all orphaned orders before re-entry...');
        try {
          const cleanupResponse = await fetch(`${baseUrl}/api/drift/cleanup-orders`, {
            method: 'POST'
          });
          if (cleanupResponse.ok) {
            const cleanupResult = await cleanupResponse.json();
            const totalCanceled = cleanupResult.summary?.totalCanceled || 0;
            const activeOrdersAfter = cleanupResult.summary?.activeOrders || 0;
            
            console.log(`✅ CLEANUP COMPLETE: ${totalCanceled} orders canceled`);
            console.log(`📊 CLEANUP RESULT: ${activeOrdersAfter} orders remaining`);
            
            // Additional safety check - if orders still remain, try cancel-all endpoint
            if (activeOrdersAfter > 0) {
              console.log('🔄 ADDITIONAL CLEANUP: Found remaining orders, using cancel-all...');
              const cancelAllResponse = await fetch(`${baseUrl}/api/drift/cancel-all-orders`, {
                method: 'POST'
              });
              if (cancelAllResponse.ok) {
                const cancelAllResult = await cancelAllResponse.json();
                console.log(`✅ CANCEL-ALL COMPLETE: ${cancelAllResult.totalCanceled || 0} additional orders canceled`);
              }
            }
          } else {
            console.warn(`⚠️ Cleanup API error: ${cleanupResponse.status}`);
          }
        } catch (cleanupError) {
          console.warn('⚠️ Order cleanup failed:', cleanupError.message);
          
          // Fallback: Try direct cancel-all as backup
          try {
            console.log('🔄 FALLBACK CLEANUP: Attempting direct cancel-all...');
            const fallbackResponse = await fetch(`${baseUrl}/api/drift/cancel-all-orders`, {
              method: 'POST'
            });
            if (fallbackResponse.ok) {
              const fallbackResult = await fallbackResponse.json();
              console.log(`✅ FALLBACK COMPLETE: ${fallbackResult.totalCanceled || 0} orders canceled`);
            }
          } catch (fallbackError) {
            console.warn('⚠️ Fallback cleanup also failed:', fallbackError.message);
          }
        }
        
        // 🔍 VERIFY CLEANUP: Wait a moment and verify orders are cleared
        await new Promise(resolve => setTimeout(resolve, 1000)); // 1 second delay
        
        // For scalping, if no position, we ALWAYS analyze for immediate re-entry
        if (recommendation === 'START_TRADING' || !hasPosition) {
          console.log('🚀 IMMEDIATE ANALYSIS: Market cleared, scanning for entry opportunities...');
          // Continue with analysis below
        }
      } else {
        console.log('📊 POSITION MONITORING: Existing position detected, normal analysis');
      }
      
      // 🚨 STEP 2: Perform parallel analysis with better error handling
      console.log(`🚀 PARALLEL SCREENSHOTS: ${this.config.selectedTimeframes.length * 2} captures starting...`);
      
      try {
        const response = await fetch(`${baseUrl}/api/batch-analysis`, {
          method: 'POST',
          headers: { 'Content-Type': 'application/json' },
          body: JSON.stringify({
            symbol: this.config.symbol,
            timeframes: this.config.selectedTimeframes,
            layouts: ['ai', 'diy'],
            analyze: true
          })
        });

        if (!response.ok) {
          console.warn(`⚠️ BATCH API ERROR: ${response.status}, falling back to sequential...`);
          return this.performSequentialAnalysis();
        }

        const result = await response.json();
        
        if (result.success && result.analysis) {
          // Reset consecutive error counter on success
          this.stats.consecutiveErrors = 0;
          
          console.log(`✅ PARALLEL ANALYSIS COMPLETE: ${result.totalScreenshots} screenshots captured`);
          console.log(`📊 COMBINED Recommendation: ${result.analysis.recommendation}`);
          console.log(`🎯 COMBINED Confidence: ${result.analysis.confidence}%`);
          console.log(`⏰ Timeframes analyzed: ${result.timeframes.join(', ')}`);
          
          // Check if we should execute a trade based on combined analysis
          if (await this.shouldExecuteTrade(result.analysis)) {
            console.log('💰 TRADE SIGNAL: Executing trade...');
            await this.executeTrade(result.analysis);
          } else {
            console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
          }
          
          return;
        } else {
          console.warn('⚠️ BATCH ANALYSIS: No valid data, falling back to sequential...');
          return this.performSequentialAnalysis();
        }
        
      } catch (batchError) {
        // Track network errors
        this.stats.networkErrors++;
        this.stats.consecutiveErrors++;
        
        console.error(`❌ PARALLEL ANALYSIS FAILED (Network Error #${this.stats.networkErrors}):`, batchError.message);
        
        // If too many consecutive errors, slow down
        if (this.stats.consecutiveErrors >= 3) {
          console.warn(`⚠️ HIGH NETWORK ERROR COUNT: ${this.stats.consecutiveErrors} consecutive failures. System will continue but may slow down.`);
        }
        
        console.log(`🔄 FALLBACK: Using sequential analysis...`);
        return this.performSequentialAnalysis();
      }
      
    } catch (error) {
      // Main try-catch for the entire performAnalysis method
      this.stats.consecutiveErrors++;
      console.error('❌ ANALYSIS ERROR:', error.message);
      
      // Fallback to sequential if all else fails
      try {
        return this.performSequentialAnalysis();
      } catch (fallbackError) {
        console.error('❌ SEQUENTIAL ANALYSIS ALSO FAILED:', fallbackError.message);
      }
    }
  }

  // Fallback sequential analysis method
  async performSequentialAnalysis() {
    try {
      console.log('📸 SEQUENTIAL ANALYSIS: Starting...');
      
      const allResults = [];
      
      // Analyze each timeframe separately
      for (const timeframe of this.config.selectedTimeframes) {
        console.log(`📊 ANALYZING: ${timeframe} timeframe...`);
        
        // Use the enhanced screenshot API for each timeframe
        const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
        const response = await fetch(`${baseUrl}/api/enhanced-screenshot`, {
          method: 'POST',
          headers: { 'Content-Type': 'application/json' },
          body: JSON.stringify({
            symbol: this.config.symbol,
            timeframe: timeframe,  // Send one timeframe at a time
            layouts: ['ai', 'diy'],
            analyze: true
          })
        });

        if (!response.ok) {
          console.log(`⚠️ TIMEFRAME ${timeframe}: API error ${response.status}`);
          continue;
        }

        const result = await response.json();
        
        if (result.analysis) {
          console.log(`✅ TIMEFRAME ${timeframe}: ${result.analysis.recommendation} (${result.analysis.confidence}%)`);
          allResults.push({
            timeframe: timeframe,
            analysis: result.analysis,
            screenshots: result.screenshots
          });
        } else {
          console.log(`⚠️ TIMEFRAME ${timeframe}: No analysis data`);
        }
      }
      
      if (allResults.length > 0) {
        console.log('✅ MULTI-TIMEFRAME ANALYSIS COMPLETE:');
        
        // Combine results for overall decision
        const combinedAnalysis = this.combineTimeframeAnalysis(allResults);
        
        console.log('📊 COMBINED Recommendation: ' + combinedAnalysis.recommendation);
        console.log('🎯 COMBINED Confidence: ' + combinedAnalysis.confidence + '%');
        console.log('⏰ Timeframes analyzed: ' + allResults.map(r => r.timeframe).join(', '));
        
        // Check if we should execute a trade based on combined analysis
        if (await this.shouldExecuteTrade(combinedAnalysis)) {
          console.log('💰 TRADE SIGNAL: Executing trade...');
          await this.executeTrade(combinedAnalysis);
        } else {
          console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
        }
      } else {
        console.log('⚠️ ANALYSIS: No valid analysis data from any timeframe');
      }
      
    } catch (error) {
      console.error('❌ ANALYSIS ERROR:', error.message);
    }
  }

  combineTimeframeAnalysis(results) {
    if (results.length === 1) {
      return results[0].analysis;
    }
    
    // Simple combination logic - can be enhanced
    const recommendations = results.map(r => r.analysis.recommendation?.toLowerCase() || 'hold');
    const confidences = results.map(r => r.analysis.confidence || 0);
    
    // Count votes for each recommendation
    const votes = {};
    recommendations.forEach(rec => {
      votes[rec] = (votes[rec] || 0) + 1;
    });
    
    // Get majority recommendation
    const majorityRec = Object.keys(votes).reduce((a, b) => votes[a] > votes[b] ? a : b);
    
    // Average confidence, but boost if multiple timeframes agree
    const avgConfidence = confidences.reduce((sum, conf) => sum + conf, 0) / confidences.length;
    const agreementBonus = votes[majorityRec] > 1 ? 10 : 0; // +10% if multiple agree
    const finalConfidence = Math.min(95, avgConfidence + agreementBonus);
    
    console.log(`🔄 CONSENSUS: ${majorityRec.toUpperCase()} from ${votes[majorityRec]}/${results.length} timeframes`);
    
    return {
      recommendation: majorityRec,
      confidence: Math.round(finalConfidence),
      reasoning: `Multi-timeframe consensus from ${results.length} timeframes (${results.map(r => r.timeframe).join(', ')})`,
      timeframeResults: results
    };
  }

  async shouldExecuteTrade(analysis) {
    console.log(`🎯 TRADE MODE: ${this.config.mode || 'SIMULATION'} - Trading ${this.config.enableTrading ? 'ENABLED' : 'DISABLED'}`);
    
    const recommendation = analysis.recommendation?.toLowerCase() || '';
    const confidence = analysis.confidence || 0;
    
    // 🚨 DYNAMIC CONFIDENCE BASED ON POSITION STATUS
    // Check if we have an active position
    let hasActivePosition = false;
    try {
      // This will be updated by the position monitor check in performAnalysis
      // For now, assume no position if we're running scalping analysis
      const isScalping = this.config.selectedTimeframes?.includes('5m') || 
                        this.config.selectedTimeframes?.includes('15m');
      hasActivePosition = false; // Will be properly detected in position monitor
    } catch (error) {
      console.warn('⚠️ Could not determine position status for confidence adjustment');
    }
    
    // 🎯 IMPROVED CONFIDENCE THRESHOLDS - Higher standards to reduce losses
    let minConfidence = 80; // Increased default confidence
    
    if (!hasActivePosition) {
      // NO POSITION = Still require high confidence for quality entries
      if (this.config.selectedTimeframes?.includes('1h')) {
        minConfidence = 75; // 1h timeframe - medium confidence
        console.log('📊 1H TRADING: Using 75% confidence threshold (no position)');
      } else if (this.config.selectedTimeframes?.includes('4h')) {
        minConfidence = 70; // 4h timeframe - lower confidence OK due to higher reliability
        console.log('📈 4H TRADING: Using 70% confidence threshold (no position)');
      } else if (this.config.selectedTimeframes?.includes('5m')) {
        minConfidence = 80; // 5m requires very high confidence due to noise
        console.log('⚡ 5M SCALPING: Using high 80% confidence (noisy timeframe)');
      } else if (this.config.selectedTimeframes?.includes('15m')) {
        minConfidence = 78; // 15m also requires high confidence
        console.log('🏃‍♂️ 15M SCALPING: Using high 78% confidence (noisy timeframe)');
      } else {
        minConfidence = 72; // Slightly lower for day trading
        console.log('📈 DAY TRADING: Using 72% confidence (no position)');
      }
    } else {
      // EXISTING POSITION = Higher confidence threshold for additional entries
      if (this.config.selectedTimeframes?.includes('5m') || this.config.selectedTimeframes?.includes('15m')) {
        minConfidence = 80; // Higher confidence for scalping with existing position
        console.log('⚖️ POSITION EXISTS: Using conservative 80% confidence');
      } else {
        minConfidence = 75; // Standard confidence for day trading
        console.log('📊 POSITION EXISTS: Using standard 75% confidence');
      }
    }
    
    const isHighConfidence = confidence >= minConfidence;
    const isClearDirection = recommendation.includes('buy') || recommendation.includes('sell') || 
                           recommendation.includes('long') || recommendation.includes('short');
    
    // 🧠 GET AI LEARNING RECOMMENDATION TO INFLUENCE DECISION
    let finalWillExecute = isHighConfidence && isClearDirection;
    let learningInfluence = null;
    
    try {
      const learningRec = await this.getAILearningRecommendation(analysis);
      if (learningRec) {
        learningInfluence = learningRec;
        console.log(`🧠 AI LEARNING INPUT: ${learningRec.action} (${(learningRec.confidence * 100).toFixed(1)}% confidence)`);
        console.log(`📚 Learning Reasoning: ${learningRec.reasoning}`);
        
        // Adjust decision based on learning
        if (learningRec.action === 'HOLD_POSITION' && learningRec.confidence > 0.7) {
          console.log('🧠 AI Learning suggests HOLD - reducing execution likelihood');
          finalWillExecute = finalWillExecute && (confidence >= (minConfidence + 10)); // Require 10% higher confidence
        } else if (learningRec.action === 'EXECUTE_TRADE' && learningRec.confidence > 0.7) {
          console.log('🧠 AI Learning suggests EXECUTE - lowering confidence threshold');
          finalWillExecute = (confidence >= (minConfidence - 5)) && isClearDirection; // Allow 5% lower confidence
        }
      }
    } catch (error) {
      console.log('⚠️ Learning recommendation error:', error.message);
    }
    
    console.log(`🎯 TRADE DECISION: ${recommendation} (${confidence}%) vs Required: ${minConfidence}%`);
    console.log(`🧠 Learning Influence: ${learningInfluence ? learningInfluence.action : 'None'}`);
    console.log(`✅ Final Decision: ${finalWillExecute ? 'EXECUTE' : 'HOLD'}`);
    
    // 🧠 RECORD AI DECISION FOR LEARNING
    this.recordAIDecisionForLearning(analysis, {
      recommendation,
      confidence,
      minConfidenceRequired: minConfidence,
      hasActivePosition,
      willExecute: finalWillExecute,
      learningInfluence: learningInfluence
    });
    
    // Store decision data for UI display
    this.lastDecision = {
      timestamp: new Date().toISOString(),
      recommendation: analysis.recommendation || 'HOLD',
      confidence: confidence,
      minConfidenceRequired: minConfidence,
      hasActivePosition: hasActivePosition,
      reasoning: analysis.reasoning || analysis.summary || 'No detailed reasoning available',
      executed: false,
      executionDetails: null,
      executionError: null,
      learningRecorded: true,
      learningInfluence: learningInfluence
    };
    
    return finalWillExecute;
  }

  async executeTrade(analysis) {
    try {
      console.log('💰 EXECUTING TRADE...');
      console.log('📊 Analysis data:', JSON.stringify(analysis, null, 2));
      
      // Check if we already have a position to prevent fragmentation
      const apiBaseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
      const existingPositions = await fetch(`${apiBaseUrl}/api/drift/positions`);
      const positionsData = await existingPositions.json();
      
      if (positionsData.success && positionsData.positions.length > 0) {
        console.log('🔍 EXISTING POSITION DETECTED - Checking DCA scaling opportunity...');
        
        // Check DCA cooldown period to prevent over-execution
        const currentTime = Date.now();
        const timeSinceLastDCA = (currentTime - this.lastDCATime) / (1000 * 60 * 60); // Hours
        
        if (timeSinceLastDCA < this.dcaCooldownHours) {
          const remainingCooldown = (this.dcaCooldownHours - timeSinceLastDCA).toFixed(1);
          console.log(`⏰ DCA COOLDOWN ACTIVE - ${remainingCooldown} hours remaining`);
          console.log('🛡️ Preventing DCA over-execution that caused 24+ orders');
          return { 
            success: false, 
            error: `DCA cooldown active - ${remainingCooldown} hours remaining`,
            existingPosition: positionsData.positions[0],
            cooldownRemaining: remainingCooldown
          };
        }
        
        const currentPosition = positionsData.positions[0];
        console.log('📊 Current position:', currentPosition);
        console.log('✅ DCA cooldown passed - executing POSITION SCALING DCA...');
        
        // Check if analysis direction matches existing position
        const recommendation = analysis.recommendation?.toLowerCase() || '';
        let analysisDirection = '';
        
        if (recommendation.includes('buy')) {
          analysisDirection = 'buy';
        } else if (recommendation.includes('sell')) {
          analysisDirection = 'sell';
        } else {
          return { 
            success: false, 
            error: `Invalid recommendation for DCA: ${recommendation}`,
            existingPosition: currentPosition,
            suggestedAction: 'Cannot determine direction from analysis'
          };
        }
        
        const positionDirection = currentPosition.side.toLowerCase();
        
        if (analysisDirection === 'buy' && positionDirection === 'long') {
          console.log('🎯 SCALING LONG POSITION - Adding to existing long position');
          return await this.executePositionScaling(analysis, this.config.tradingAmount || 49);
        } else if (analysisDirection === 'sell' && positionDirection === 'short') {
          console.log('🎯 SCALING SHORT POSITION - Adding to existing short position');
          return await this.executePositionScaling(analysis, this.config.tradingAmount || 49);
        } else {
          console.log('🔄 DIRECTION MISMATCH - Analysis suggests opposite direction');
          console.log(`   Position: ${positionDirection.toUpperCase()} | Analysis: ${analysisDirection.toUpperCase()}`);
          return { 
            success: false, 
            error: `Direction mismatch: Position is ${positionDirection}, analysis suggests ${analysisDirection}`,
            existingPosition: currentPosition,
            suggestedAction: 'Consider position consolidation or exit strategy'
          };
        }
      }
      
      // Map analysis recommendation to trading side
      const recommendation = analysis.recommendation?.toLowerCase() || '';
      let side = '';
      
      if (recommendation.includes('buy')) {
        side = 'BUY';
      } else if (recommendation.includes('sell')) {
        side = 'SELL';
      } else {
        console.log('❌ TRADE SKIP: Invalid recommendation - ' + recommendation);
        return { success: false, error: 'Invalid recommendation: ' + recommendation };
      }
      
      console.log(`🔧 DEBUG: Side variable initialized as: "${side}" from recommendation: "${recommendation}"`);
      
      // Validate side is properly set
      if (!side || (side !== 'BUY' && side !== 'SELL')) {
        console.log('❌ TRADE ERROR: Side variable not properly initialized');
        return { success: false, error: 'Side variable initialization error' };
      }

      // Extract stop loss and take profit from analysis
      let stopLoss = null;
      let takeProfit = null;
      
      // Try to extract from the structured analysis format
      if (analysis.stopLoss && typeof analysis.stopLoss === 'object') {
        stopLoss = analysis.stopLoss.price;
      } else if (analysis.stopLoss && typeof analysis.stopLoss === 'number') {
        stopLoss = analysis.stopLoss;
      }
      
      // Extract take profit - prefer tp1 if available
      if (analysis.takeProfits && typeof analysis.takeProfits === 'object') {
        if (analysis.takeProfits.tp1 && analysis.takeProfits.tp1.price) {
          takeProfit = analysis.takeProfits.tp1.price;
        } else if (analysis.takeProfits.tp2 && analysis.takeProfits.tp2.price) {
          takeProfit = analysis.takeProfits.tp2.price;
        }
      } else if (analysis.takeProfit && typeof analysis.takeProfit === 'number') {
        takeProfit = analysis.takeProfit;
      }
      
      // Fallback: try to extract from nested levels object
      if (!stopLoss && analysis.levels) {
        stopLoss = analysis.levels.stopLoss || analysis.levels.stop;
      }
      if (!takeProfit && analysis.levels) {
        takeProfit = analysis.levels.takeProfit || analysis.levels.target;
      }

      // Parse numeric values if they're strings
      if (stopLoss && typeof stopLoss === 'string') {
        stopLoss = parseFloat(stopLoss.replace(/[^0-9.]/g, ''));
      }
      if (takeProfit && typeof takeProfit === 'string') {
        takeProfit = parseFloat(takeProfit.replace(/[^0-9.]/g, ''));
      }

      // 🛡️ FALLBACK RISK MANAGEMENT: Ensure SL/TP always exist
      if (!stopLoss || !takeProfit) {
        console.log('⚠️ Missing AI-calculated SL/TP, generating fallback values...');
        const currentPrice = analysis.entry?.price || analysis.currentPrice || 178;
        
        if (!stopLoss) {
          // Fallback: 1.5% stop loss for scalping
          if (side === 'BUY' || side === 'LONG') {
            stopLoss = currentPrice * 0.985; // 1.5% below entry
          } else {
            stopLoss = currentPrice * 1.015; // 1.5% above entry
          }
          console.log(`🔧 Generated fallback stop loss: $${stopLoss.toFixed(4)} (1.5%)`);
        }
        
        if (!takeProfit) {
          // Fallback: 3% take profit for scalping (2:1 risk/reward)
          if (side === 'BUY' || side === 'LONG') {
            takeProfit = currentPrice * 1.03; // 3% above entry
          } else {
            takeProfit = currentPrice * 0.97; // 3% below entry
          }
          console.log(`🔧 Generated fallback take profit: $${takeProfit.toFixed(4)} (3%)`);
        }
      }

      console.log(`🎯 Final trade levels - SL: ${stopLoss}, TP: ${takeProfit}`);

      // Calculate optimal leverage using AI Leverage Calculator
      let optimalLeverage = 1; // Default fallback
      let leverageResult = null; // Store leverage calculation result for UI display
      console.log('🔧 DEBUG: Starting leverage calculation...');
      try {
        const AILeverageCalculator = await importAILeverageCalculator();
        console.log('🔧 DEBUG: AI Leverage Calculator imported:', !!AILeverageCalculator);
        if (AILeverageCalculator && stopLoss) {
          console.log('🔧 DEBUG: Both calculator and stopLoss available, proceeding...');
          // Get current price from analysis
          const currentPrice = analysis.entry?.price || analysis.currentPrice || 178; // fallback price
          
          // Get real account data from Drift API
          let accountValue = 49; // fallback
          let availableBalance = 49; // fallback
          
          try {
            console.log('🔧 DEBUG: Fetching balance from:', apiBaseUrl);
            const balanceResponse = await fetch(`${apiBaseUrl}/api/drift/balance`);
            const balanceData = await balanceResponse.json();
            if (balanceData.success) {
              accountValue = balanceData.accountValue;
              availableBalance = balanceData.availableBalance;
              console.log(`💰 Real account data: $${accountValue.toFixed(2)} total, $${availableBalance.toFixed(2)} available`);
            } else {
              console.log('🔧 DEBUG: Balance API returned error:', balanceData);
            }
          } catch (balanceError) {
            console.warn('⚠️ Failed to get real balance, using fallback:', balanceError.message);
          }
          
          console.log(`🧮 Calculating optimal leverage: Entry=$${currentPrice}, StopLoss=$${stopLoss}`);
          console.log(`🔧 DEBUG: Side variable before leverage calc: "${side}"`);
          
          const leverageCalcResult = AILeverageCalculator.calculateOptimalLeverage({
            accountValue,
            availableBalance,
            entryPrice: currentPrice,
            stopLossPrice: stopLoss,
            side: side === 'BUY' ? 'long' : 'short',
            maxLeverageAllowed: 100, // Drift platform max (can go up to 101x)
            safetyBuffer: 0.10 // 10% safety buffer
          });
          
          // Store the result for UI display
          leverageResult = leverageCalcResult;
          optimalLeverage = leverageCalcResult.recommendedLeverage;
          
          optimalLeverage = leverageCalcResult.recommendedLeverage;
          console.log(`🎯 AI Calculated Leverage: ${optimalLeverage.toFixed(1)}x (Risk: ${leverageCalcResult.riskAssessment})`);
          console.log(`📊 Leverage Details: ${leverageCalcResult.reasoning}`);
        } else {
          console.log('🔧 DEBUG: Skipping leverage calc - Calculator:', !!AILeverageCalculator, 'StopLoss:', !!stopLoss);
        }
      } catch (leverageError) {
        console.warn('⚠️ Leverage calculation failed, using default 1x:', leverageError.message);
      }
      
      console.log(`🔧 DEBUG: Final leverage to use: ${optimalLeverage}x`);

      // 🧹 MANDATORY CLEANUP: Clear all orders before new trade execution
      console.log('🧹 PRE-TRADE CLEANUP: Ensuring no orphaned orders before new trade...');
      try {
        const cleanupResponse = await fetch(`${apiBaseUrl}/api/drift/cleanup-orders`, {
          method: 'POST'
        });
        if (cleanupResponse.ok) {
          const cleanupResult = await cleanupResponse.json();
          const totalCanceled = cleanupResult.summary?.totalCanceled || 0;
          console.log(`✅ PRE-TRADE CLEANUP: ${totalCanceled} orders cleared before trade execution`);
          
          // Additional safety: If orders still exist, use cancel-all
          if (cleanupResult.summary?.activeOrders > 0) {
            console.log('🔄 ADDITIONAL CLEANUP: Remaining orders found, using cancel-all...');
            const cancelAllResponse = await fetch(`${apiBaseUrl}/api/drift/cancel-all-orders`, {
              method: 'POST'
            });
            if (cancelAllResponse.ok) {
              const cancelAllResult = await cancelAllResponse.json();
              console.log(`✅ CANCEL-ALL COMPLETE: ${cancelAllResult.totalCanceled || 0} additional orders cleared`);
            }
          }
        } else {
          console.warn(`⚠️ Pre-trade cleanup failed: ${cleanupResponse.status}`);
        }
        
        // Brief delay to ensure cleanup is processed
        await new Promise(resolve => setTimeout(resolve, 500));
      } catch (cleanupError) {
        console.warn('⚠️ Pre-trade cleanup error:', cleanupError.message);
      }

      // ✅ PROCEED DIRECTLY TO TRADE EXECUTION (Risk management removed)
      console.log('� PROCEEDING WITH TRADE EXECUTION...');
      console.log(`   Entry: $${analysis.entry?.price || analysis.currentPrice || 0}`);
      console.log(`   SL: $${stopLoss?.toFixed(2) || 'N/A'}`);
      console.log(`   TP: $${takeProfit?.toFixed(2) || 'N/A'}`);
      console.log(`   Leverage: ${optimalLeverage}x`);

      // Use the trading API with proper fields for Drift
      const tradePayload = {
        symbol: this.config.symbol,
        side: side,
        amount: this.config.tradingAmount || 49, // Use available balance
        leverage: optimalLeverage, // Use AI-calculated optimal leverage
        stopLoss: stopLoss,
        takeProfit: takeProfit,
        useRealDEX: true, // Enable LIVE trading always
        analysis: analysis // Include analysis for reference
      };
      
      console.log('📊 TRADE PAYLOAD:', tradePayload);
      
      const response = await fetch(`${apiBaseUrl}/api/trading/execute-drift`, {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify(tradePayload)
      });

      const result = await response.json();
      
      if (result.success) {
        console.log('✅ TRADE EXECUTED: ' + result.message);
        this.stats.totalTrades = (this.stats.totalTrades || 0) + 1;
        this.stats.successfulTrades = (this.stats.successfulTrades || 0) + 1;
        
        // Log the successful trade for live analysis panel
        try {
          const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
          
          // Use actual execution data from the trade result
          let actualEntryPrice = 0;
          if (result.executionPrice) {
            actualEntryPrice = result.executionPrice;
          } else if (result.price) {
            actualEntryPrice = result.price;
          } else if (analysis.entry?.price) {
            actualEntryPrice = analysis.entry.price;
          } else if (analysis.currentPrice) {
            actualEntryPrice = analysis.currentPrice;
          }
          
          await fetch(`${baseUrl}/api/automation/live-decisions`, {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({
              type: 'TRADE_EXECUTED',
              action: side?.toUpperCase() || 'UNKNOWN',
              symbol: this.config.symbol,
              blocked: false,
              executed: true,
              confidence: analysis.confidence || 0,
              entryPrice: actualEntryPrice,
              stopLoss: stopLoss,
              takeProfit: takeProfit,
              leverage: optimalLeverage,
              amount: tradePayload.amount,
              reasoning: analysis.reasoning || 'No reasoning provided',
              aiLeverageReasoning: leverageResult ? leverageResult.reasoning : 'AI leverage calculation not available',
              txId: result.transactionId || result.signature,
              timestamp: new Date().toISOString(),
              cycle: this.stats.totalCycles
            })
          });
        } catch (logError) {
          console.warn('⚠️ Failed to log executed trade:', logError.message);
        }
        
        // Update DCA timestamp to prevent over-execution
        this.lastDCATime = Date.now();
        console.log(`⏰ DCA cooldown activated - Next DCA possible in ${this.dcaCooldownHours} hours`);
        
        // 🧠 TRACK SUCCESSFUL TRADE OUTCOME FOR LEARNING
        await this.trackTradeOutcomeForLearning(result);
        
        // Update last decision with execution details
        if (this.lastDecision) {
          this.lastDecision.executed = true;
          this.lastDecision.executionDetails = {
            side: side,
            amount: tradePayload.amount,
            leverage: optimalLeverage,
            currentPrice: analysis.entry?.price || analysis.currentPrice,
            stopLoss: stopLoss,
            takeProfit: takeProfit,
            aiReasoning: leverageResult ? leverageResult.reasoning : 'AI leverage calculation not available',
            txId: result.transactionId || result.signature,
            aiStopLossPercent: analysis.stopLossPercent || 'Not specified'
          };
        }
      } else {
        console.log('❌ TRADE FAILED: ' + result.error);
        
        // 🧠 TRACK FAILED TRADE OUTCOME FOR LEARNING
        await this.trackTradeOutcomeForLearning(result);
        
        // Update last decision with execution error
        if (this.lastDecision) {
          this.lastDecision.executed = false;
          this.lastDecision.executionError = result.error || 'Unknown execution error';
        }
      }
      
      return result;
    } catch (error) {
      console.error('❌ TRADE ERROR:', error.message);
      return { success: false, error: error.message };
    }
  }

  // Position Scaling DCA - Increase existing position size with adjusted SL/TP
  async executePositionScaling(analysis, dcaAmount) {
    try {
      console.log('🎯 EXECUTING POSITION SCALING DCA...');
      console.log(`💰 Adding $${dcaAmount} to existing position with AI-calculated levels`);
      
      // Use the position scaling API
      const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
      const response = await fetch(`${baseUrl}/api/drift/scale-position`, {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({
          dcaAmount: dcaAmount,
          analysis: analysis // Pass AI analysis for optimal SL/TP levels
        })
      });

      const result = await response.json();
      
      if (result.success) {
        console.log('✅ POSITION SCALING SUCCESSFUL');
        console.log(`📊 Old: ${result.scalingResult.originalSize.toFixed(4)} @ $${result.scalingResult.originalEntryPrice.toFixed(4)}`);
        console.log(`📈 New: ${result.scalingResult.newTotalSize.toFixed(4)} @ $${result.scalingResult.newAveragePrice.toFixed(4)}`);
        console.log(`🛡️ Stop Loss: $${result.scalingResult.newStopLoss.toFixed(4)}`);
        console.log(`🎯 Take Profit: $${result.scalingResult.newTakeProfit.toFixed(4)}`);
        
        // 🧠 TRACK SUCCESSFUL POSITION SCALING FOR LEARNING
        await this.trackTradeOutcomeForLearning(result);
        
        // Update stats and DCA timestamp
        this.stats.totalTrades = (this.stats.totalTrades || 0) + 1;
        this.stats.successfulTrades = (this.stats.successfulTrades || 0) + 1;
        this.lastDCATime = Date.now();
        
        console.log(`⏰ DCA cooldown activated - Next DCA possible in ${this.dcaCooldownHours} hours`);
        
        // Update last decision with scaling details
        if (this.lastDecision) {
          this.lastDecision.executed = true;
          this.lastDecision.executionDetails = {
            type: 'POSITION_SCALING',
            dcaAmount: dcaAmount,
            originalSize: result.scalingResult.originalSize,
            newTotalSize: result.scalingResult.newTotalSize,
            originalEntryPrice: result.scalingResult.originalEntryPrice,
            newAveragePrice: result.scalingResult.newAveragePrice,
            newStopLoss: result.scalingResult.newStopLoss,
            newTakeProfit: result.scalingResult.newTakeProfit,
            usedAILevels: result.scalingResult.usedAILevels,
            txIds: {
              dcaTx: result.scalingResult.dcaTxId,
              stopLossTx: result.scalingResult.stopLossTxId,
              takeProfitTx: result.scalingResult.takeProfitTxId
            }
          };
        }
      } else {
        console.log('❌ POSITION SCALING FAILED:', result.error);
        
        // Update last decision with error
        if (this.lastDecision) {
          this.lastDecision.executed = false;
          this.lastDecision.executionError = result.error || 'Position scaling failed';
        }
      }
      
      return result;
    } catch (error) {
      console.error('❌ POSITION SCALING ERROR:', error.message);
      return { success: false, error: error.message };
    }
  }

  async getStatus() {
    const baseStatus = {
      isRunning: this.isRunning,  // Changed from isActive to isRunning
      isActive: this.isRunning,   // Keep both for compatibility
      mode: this.config?.mode || 'SIMULATION',
      enableTrading: this.config?.enableTrading || false,
      tradingStatus: this.config?.enableTrading ? 'REAL TRADES' : 'SIMULATED ONLY',
      symbol: this.config?.symbol || 'SOLUSD',
      timeframes: this.config?.selectedTimeframes || [],
      automationType: 'SIMPLE',
      lastDecision: this.lastDecision, // Include last AI decision for UI display
      config: this.config,  // Include config for debugging
      ...this.stats
    };
    
    // Add AI Learning Status
    try {
      const learningInsights = await this.getAILearningInsights();
      baseStatus.aiLearning = {
        available: learningInsights.available,
        systemConfidence: learningInsights.report?.summary?.systemConfidence || 0,
        totalDecisions: learningInsights.report?.summary?.totalDecisions || 0,
        successRate: learningInsights.report?.summary?.successRate || 0,
        phase: this.getAILearningPhase(learningInsights.report?.summary?.totalDecisions || 0)
      };
    } catch (error) {
      baseStatus.aiLearning = {
        available: false,
        error: error.message
      };
    }
    
    // Add more descriptive status based on running state
    if (this.isRunning) {
      baseStatus.detailedStatus = 'Running - Monitoring for trade opportunities';
      baseStatus.nextAction = 'Next analysis cycle in progress';
    } else {
      baseStatus.detailedStatus = 'Stopped - No monitoring active';
      baseStatus.nextAction = 'Start automation to begin monitoring';
    }
    
    return baseStatus;
  }
  
  // Helper method to determine AI learning phase
  getAILearningPhase(totalDecisions) {
    if (totalDecisions < 5) return 'INITIAL';
    if (totalDecisions < 20) return 'LEARNING';
    if (totalDecisions < 50) return 'DEVELOPING';
    return 'EXPERT';
  }
  
  // Get intervals based on trading timeframes (scalping needs faster analysis)
  getTimeframeBasedIntervals() {
    const timeframes = this.getSelectedTimeframes();
    
    // Detect if this is scalping (5m, 15m, 30m)
    const isScalping = timeframes.some(tf => ['5', '5m', '15', '15m', '30', '30m'].includes(tf));
    const isDayTrading = timeframes.some(tf => ['60', '1h', '120', '2h'].includes(tf));
    const isSwingTrading = timeframes.some(tf => ['240', '4h', '1D', '1d'].includes(tf));
    
    if (isScalping) {
      console.log('🎯 SCALPING DETECTED: Using faster 10-minute intervals (was 30-90)');
      return 10 * 60 * 1000; // 10 minutes for scalping - fast enough for 5m charts
    } else if (isDayTrading) {
      console.log('⚡ DAY TRADING DETECTED: Using 20-minute intervals');
      return 20 * 60 * 1000; // 20 minutes for day trading
    } else if (isSwingTrading) {
      console.log('📈 SWING TRADING DETECTED: Using 45-minute intervals');
      return 45 * 60 * 1000; // 45 minutes for swing trading
    } else {
      // Unknown/mixed strategy - use moderate interval
      console.log('📊 MIXED STRATEGY: Using 30-minute intervals');
      return 30 * 60 * 1000; // 30 minutes default
    }
  }
  
  // Get selected timeframes from config
  getSelectedTimeframes() {
    return this.config?.timeframes || this.config?.selectedTimeframes || ['1h'];
  }
  
  // Detect trading strategy from timeframes
  detectStrategy() {
    const timeframes = this.getSelectedTimeframes();
    const isScalping = timeframes.some(tf => ['5', '5m', '15', '15m', '30', '30m'].includes(tf));
    const isDayTrading = timeframes.some(tf => ['60', '1h', '120', '2h'].includes(tf));
    const isSwingTrading = timeframes.some(tf => ['240', '4h', '1D', '1d'].includes(tf));
    
    if (isScalping) return 'Scalping';
    if (isDayTrading) return 'Day Trading';  
    if (isSwingTrading) return 'Swing Trading';
    return 'Mixed';
  }
  
  // 🧠 AI LEARNING INTEGRATION METHODS
  
  /**
   * Record AI decision for learning system
   */
  async recordAIDecisionForLearning(analysis, decisionContext) {
    try {
      if (!this.learner || typeof this.learner.recordDecision !== 'function') {
        console.log('⚠️ Learning system not available - skipping decision recording');
        return null;
      }
      
      const decisionData = {
        tradeId: `trade_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
        symbol: this.config?.symbol || 'SOLUSD',
        decision: decisionContext.willExecute ? 'EXECUTE_TRADE' : 'HOLD_POSITION',
        confidence: decisionContext.confidence,
        recommendation: decisionContext.recommendation,
        reasoning: analysis.reasoning || analysis.summary || 'AI analysis recommendation',
        marketConditions: {
          timeframes: this.config?.selectedTimeframes || ['1h'],
          strategy: this.detectStrategy(),
          minConfidenceRequired: decisionContext.minConfidenceRequired
        },
        expectedOutcome: decisionContext.willExecute ? 'PROFITABLE_TRADE' : 'WAIT_BETTER_OPPORTUNITY',
        aiLevels: {
          stopLoss: analysis.stopLoss?.price || analysis.stopLoss,
          takeProfit: analysis.takeProfits?.tp1?.price || analysis.takeProfit,
          entry: analysis.entry?.price || analysis.currentPrice
        }
      };
      
      const decisionId = await this.learner.recordDecision(decisionData);
      console.log(`🧠 AI Decision recorded for learning: ${decisionData.decision} (ID: ${decisionId})`);
      
      // 📊 ALSO LOG TO LIVE DECISIONS API FOR DASHBOARD VISIBILITY
      try {
        const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
        
        // Extract better entry price from analysis
        let entryPrice = 0;
        if (analysis.entry?.price) {
          entryPrice = analysis.entry.price;
        } else if (analysis.currentPrice) {
          entryPrice = analysis.currentPrice;
        } else if (analysis.entry && typeof analysis.entry === 'number') {
          entryPrice = analysis.entry;
        }
        
        await fetch(`${baseUrl}/api/automation/live-decisions`, {
          method: 'POST',
          headers: { 'Content-Type': 'application/json' },
          body: JSON.stringify({
            type: 'AI_DECISION',
            action: decisionData.recommendation?.toUpperCase() || decisionData.decision,
            symbol: decisionData.symbol,
            blocked: !decisionContext.willExecute,
            executed: decisionContext.willExecute,
            confidence: decisionData.confidence,
            entryPrice: entryPrice,
            stopLoss: decisionData.aiLevels.stopLoss,
            takeProfit: decisionData.aiLevels.takeProfit,
            reasoning: decisionData.reasoning,
            timestamp: new Date().toISOString(),
            cycle: this.stats.totalCycles,
            learningDecisionId: decisionId
          })
        });
        console.log(`📊 AI Decision logged to live-decisions API: ${decisionData.decision} with entry: $${entryPrice}`);
      } catch (apiError) {
        console.warn('⚠️ Failed to log decision to live-decisions API:', apiError.message);
      }
      
      // Store decision ID for later outcome tracking
      if (this.lastDecision) {
        this.lastDecision.learningDecisionId = decisionId;
      }
      
      return decisionId;
    } catch (error) {
      console.error('❌ Error recording AI decision for learning:', error.message);
      return null;
    }
  }
  
  /**
   * Track trade outcome for learning system
   */
  async trackTradeOutcomeForLearning(executionResult, decisionId = null) {
    try {
      if (!this.learner || typeof this.learner.assessDecisionOutcome !== 'function') {
        console.log('⚠️ Learning system not available - skipping outcome tracking');
        return;
      }
      
      const targetDecisionId = decisionId || this.lastDecision?.learningDecisionId;
      if (!targetDecisionId) {
        console.log('⚠️ No decision ID available for outcome tracking');
        return;
      }
      
      const outcomeData = {
        decisionId: targetDecisionId,
        actualOutcome: executionResult.success ? 'TRADE_EXECUTED' : 'TRADE_FAILED',
        timeToOutcome: Date.now() - new Date(this.lastDecision?.timestamp || Date.now()).getTime(),
        pnlImpact: executionResult.success ? 0 : -10, // Will be updated later with actual P&L
        executionDetails: executionResult,
        marketConditions: {
          timestamp: new Date().toISOString(),
          symbol: this.config?.symbol || 'SOLUSD'
        }
      };
      
      const success = await this.learner.assessDecisionOutcome(outcomeData);
      if (success) {
        console.log(`🧠 Trade outcome recorded for learning: ${outcomeData.actualOutcome}`);
      }
    } catch (error) {
      console.error('❌ Error tracking trade outcome for learning:', error.message);
    }
  }
  
  /**
   * Get AI learning insights and recommendations
   */
  async getAILearningInsights() {
    try {
      if (!this.learner) {
        return {
          available: false,
          message: 'Learning system not initialized'
        };
      }
      
      // Check if learning methods are available
      if (typeof this.learner.generateLearningReport === 'function') {
        const report = await this.learner.generateLearningReport();
        return {
          available: true,
          report: report,
          type: 'FULL_REPORT'
        };
      } else if (typeof this.learner.getLearningStatus === 'function') {
        const status = await this.learner.getLearningStatus();
        return {
          available: true,
          report: status,
          type: 'BASIC_STATUS'
        };
      } else {
        return {
          available: false,
          message: 'Learning methods not available'
        };
      }
    } catch (error) {
      console.error('❌ Error getting AI learning insights:', error.message);
      return {
        available: false,
        error: error.message
      };
    }
  }
  
  /**
   * Use AI learning to improve trade decisions
   */
  async getAILearningRecommendation(analysis) {
    try {
      if (!this.learner || typeof this.learner.getSmartRecommendation !== 'function') {
        console.log('🧠 Smart recommendations not available - using standard analysis');
        return null;
      }
      
      const requestData = {
        symbol: this.config?.symbol || 'SOLUSD',
        confidence: analysis.confidence || 0,
        recommendation: analysis.recommendation,
        marketConditions: {
          timeframes: this.config?.selectedTimeframes || ['1h'],
          strategy: this.detectStrategy()
        },
        aiLevels: {
          stopLoss: analysis.stopLoss?.price || analysis.stopLoss,
          takeProfit: analysis.takeProfits?.tp1?.price || analysis.takeProfit
        }
      };
      
      const learningRec = await this.learner.getSmartRecommendation(requestData);
      if (learningRec && learningRec.confidence > 0.6) {
        console.log(`🧠 AI Learning Recommendation: ${learningRec.action} (${(learningRec.confidence * 100).toFixed(1)}% confidence)`);
        console.log(`📚 Learning Reasoning: ${learningRec.reasoning}`);
        return learningRec;
      }
      
      return null;
    } catch (error) {
      console.error('❌ Error getting AI learning recommendation:', error.message);
      return null;
    }
  }
}

// Export singleton instance
const simpleAutomation = new SimpleAutomation();
export { simpleAutomation };