71694ca660
ADVANCED SYSTEM KNOWLEDGE: - Superior parallel screenshot system (60% performance gain) - AI learning system architecture and decision flow - Orphaned order cleanup integration patterns - Critical technical fixes and troubleshooting guide - Database schema best practices - Memory leak prevention strategies - AI learning system patterns and functions - Error handling best practices for trading systems - Integration patterns for position monitoring - Performance optimization rules - UI/UX consistency requirements - Critical anti-patterns to avoid - Added links to new knowledge base documents - Comprehensive documentation structure - Development guides and best practices - Performance optimizations summary - 60% screenshot performance improvement techniques - AI learning system that adapts trading decisions - Container stability and crash prevention - Frontend-backend consistency requirements - Integration strategies for existing infrastructure This documentation preserves critical insights from complex debugging sessions and provides patterns for future development.
369 lines
13 KiB
JavaScript
369 lines
13 KiB
JavaScript
// Simple automation service for basic start/stop functionality
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class SimpleAutomation {
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constructor() {
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this.isRunning = false;
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this.config = null;
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this.intervalId = null;
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this.stats = {
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totalCycles: 0,
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totalTrades: 0,
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startTime: null,
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lastActivity: null,
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status: 'Stopped',
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networkErrors: 0,
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consecutiveErrors: 0
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};
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}
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async start(config) {
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try {
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if (this.isRunning) {
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return { success: false, message: 'Automation already running' };
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}
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// Validate basic config
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if (!config.selectedTimeframes || config.selectedTimeframes.length === 0) {
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return { success: false, message: 'At least one timeframe required' };
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}
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this.config = config;
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this.isRunning = true;
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this.stats.startTime = new Date().toISOString();
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this.stats.status = 'Running';
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this.stats.totalCycles = 0;
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// Detect strategy
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const timeframes = config.selectedTimeframes;
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let strategy = 'General';
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const isScalping = timeframes.includes('5') || timeframes.includes('15') || timeframes.includes('30');
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const isDayTrading = timeframes.includes('60') || timeframes.includes('120');
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const isSwingTrading = timeframes.includes('240') || timeframes.includes('D');
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if (isScalping) strategy = 'Scalping';
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else if (isDayTrading) strategy = 'Day Trading';
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else if (isSwingTrading) strategy = 'Swing Trading';
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console.log('SIMPLE AUTOMATION: Starting ' + strategy + ' strategy');
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console.log('TIMEFRAMES: [' + timeframes.join(', ') + ']');
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console.log('MODE: ' + (config.mode || 'SIMULATION'));
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// Start simple monitoring cycle (10 minutes for safety)
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this.intervalId = setInterval(() => {
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this.runCycle();
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}, 10 * 60 * 1000); // 10 minutes
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// First cycle after 30 seconds
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setTimeout(() => {
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this.runCycle();
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}, 30000);
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return {
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success: true,
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message: strategy + ' automation started successfully',
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strategy: strategy,
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timeframes: timeframes
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};
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} catch (error) {
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console.error('Failed to start automation:', error);
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return { success: false, message: 'Failed to start automation: ' + error.message };
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}
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}
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async stop() {
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try {
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this.isRunning = false;
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this.stats.status = 'Stopped';
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if (this.intervalId) {
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clearInterval(this.intervalId);
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this.intervalId = null;
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}
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console.log('SIMPLE AUTOMATION: Stopped');
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return { success: true, message: 'Automation stopped successfully' };
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} catch (error) {
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console.error('Failed to stop automation:', error);
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return { success: false, message: 'Failed to stop automation: ' + error.message };
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}
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}
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async runCycle() {
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try {
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this.stats.totalCycles++;
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this.stats.lastActivity = new Date().toISOString();
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console.log('🔄 AUTOMATION CYCLE ' + this.stats.totalCycles + ': ' + (this.config?.symbol || 'SOLUSD'));
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console.log('⏰ TIME: ' + new Date().toLocaleTimeString());
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console.log('📊 STRATEGY: ' + (this.config.selectedTimeframes?.join(', ') || 'N/A') + ' timeframes');
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if (this.config) {
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// Perform actual analysis using enhanced screenshot API
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await this.performAnalysis();
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}
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} catch (error) {
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console.error('Error in automation cycle:', error);
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}
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}
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async performAnalysis() {
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console.log(`📊 TRUE PARALLEL ANALYSIS: Starting simultaneous analysis for ${this.config.selectedTimeframes.length} timeframes...`);
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console.log(`🚀 This will capture ${this.config.selectedTimeframes.length * 2} screenshots in parallel (${this.config.selectedTimeframes.length} timeframes × 2 layouts)`);
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try {
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// Use internal container port for server-side API calls
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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const response = await fetch(`${baseUrl}/api/batch-analysis`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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symbol: this.config.symbol,
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timeframes: this.config.selectedTimeframes, // All timeframes at once!
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layouts: ['ai', 'diy'],
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analyze: true
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})
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});
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if (!response.ok) {
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console.warn(`⚠️ BATCH API ERROR: ${response.status}, falling back to sequential...`);
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return this.performSequentialAnalysis();
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}
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const result = await response.json();
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if (result.success && result.analysis) {
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// Reset consecutive error counter on success
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this.stats.consecutiveErrors = 0;
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console.log(`✅ PARALLEL ANALYSIS COMPLETE: ${result.totalScreenshots} screenshots captured`);
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console.log(`📊 COMBINED Recommendation: ${result.analysis.recommendation}`);
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console.log(`🎯 COMBINED Confidence: ${result.analysis.confidence}%`);
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console.log(`⏰ Timeframes analyzed: ${result.timeframes.join(', ')}`);
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// Check if we should execute a trade based on combined analysis
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if (this.shouldExecuteTrade(result.analysis)) {
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console.log('💰 TRADE SIGNAL: Executing trade...');
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await this.executeTrade(result.analysis);
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} else {
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console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
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}
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return;
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} else {
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console.warn('⚠️ BATCH ANALYSIS: No valid data, falling back to sequential...');
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return this.performSequentialAnalysis();
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}
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} catch (error) {
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// Track network errors
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this.stats.networkErrors++;
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this.stats.consecutiveErrors++;
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console.error(`❌ PARALLEL ANALYSIS FAILED (Network Error #${this.stats.networkErrors}):`, error.message);
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// If too many consecutive errors, slow down
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if (this.stats.consecutiveErrors >= 3) {
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console.warn(`⚠️ HIGH NETWORK ERROR COUNT: ${this.stats.consecutiveErrors} consecutive failures. System will continue but may slow down.`);
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}
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console.log(`🔄 FALLBACK: Using sequential analysis...`);
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return this.performSequentialAnalysis();
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}
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}
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// Fallback sequential analysis method
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async performSequentialAnalysis() {
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try {
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console.log('📸 SEQUENTIAL ANALYSIS: Starting...');
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const allResults = [];
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// Analyze each timeframe separately
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for (const timeframe of this.config.selectedTimeframes) {
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console.log(`📊 ANALYZING: ${timeframe} timeframe...`);
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// Use the enhanced screenshot API for each timeframe
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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const response = await fetch(`${baseUrl}/api/enhanced-screenshot`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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symbol: this.config.symbol,
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timeframe: timeframe, // Send one timeframe at a time
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layouts: ['ai', 'diy'],
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analyze: true
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})
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});
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if (!response.ok) {
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console.log(`⚠️ TIMEFRAME ${timeframe}: API error ${response.status}`);
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continue;
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}
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const result = await response.json();
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if (result.analysis) {
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console.log(`✅ TIMEFRAME ${timeframe}: ${result.analysis.recommendation} (${result.analysis.confidence}%)`);
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allResults.push({
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timeframe: timeframe,
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analysis: result.analysis,
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screenshots: result.screenshots
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});
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} else {
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console.log(`⚠️ TIMEFRAME ${timeframe}: No analysis data`);
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}
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}
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if (allResults.length > 0) {
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console.log('✅ MULTI-TIMEFRAME ANALYSIS COMPLETE:');
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// Combine results for overall decision
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const combinedAnalysis = this.combineTimeframeAnalysis(allResults);
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console.log('📊 COMBINED Recommendation: ' + combinedAnalysis.recommendation);
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console.log('🎯 COMBINED Confidence: ' + combinedAnalysis.confidence + '%');
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console.log('⏰ Timeframes analyzed: ' + allResults.map(r => r.timeframe).join(', '));
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// Check if we should execute a trade based on combined analysis
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if (this.shouldExecuteTrade(combinedAnalysis)) {
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console.log('💰 TRADE SIGNAL: Executing trade...');
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await this.executeTrade(combinedAnalysis);
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} else {
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console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
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}
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} else {
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console.log('⚠️ ANALYSIS: No valid analysis data from any timeframe');
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}
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} catch (error) {
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console.error('❌ ANALYSIS ERROR:', error.message);
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}
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}
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combineTimeframeAnalysis(results) {
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if (results.length === 1) {
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return results[0].analysis;
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}
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// Simple combination logic - can be enhanced
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const recommendations = results.map(r => r.analysis.recommendation?.toLowerCase() || 'hold');
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const confidences = results.map(r => r.analysis.confidence || 0);
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// Count votes for each recommendation
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const votes = {};
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recommendations.forEach(rec => {
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votes[rec] = (votes[rec] || 0) + 1;
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});
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// Get majority recommendation
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const majorityRec = Object.keys(votes).reduce((a, b) => votes[a] > votes[b] ? a : b);
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// Average confidence, but boost if multiple timeframes agree
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const avgConfidence = confidences.reduce((sum, conf) => sum + conf, 0) / confidences.length;
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const agreementBonus = votes[majorityRec] > 1 ? 10 : 0; // +10% if multiple agree
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const finalConfidence = Math.min(95, avgConfidence + agreementBonus);
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console.log(`🔄 CONSENSUS: ${majorityRec.toUpperCase()} from ${votes[majorityRec]}/${results.length} timeframes`);
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return {
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recommendation: majorityRec,
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confidence: Math.round(finalConfidence),
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reasoning: `Multi-timeframe consensus from ${results.length} timeframes (${results.map(r => r.timeframe).join(', ')})`,
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timeframeResults: results
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};
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}
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shouldExecuteTrade(analysis) {
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if (this.config.mode !== 'LIVE') {
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console.log('📊 SIMULATION MODE: Would execute trade');
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return false;
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}
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const recommendation = analysis.recommendation?.toLowerCase() || '';
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const confidence = analysis.confidence || 0;
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// Strategy-specific confidence requirements
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let minConfidence = 75;
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if (this.config.selectedTimeframes?.includes('5') || this.config.selectedTimeframes?.includes('15')) {
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minConfidence = 80; // Higher confidence for scalping
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}
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const isHighConfidence = confidence >= minConfidence;
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const isClearDirection = recommendation.includes('buy') || recommendation.includes('sell');
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console.log('🎯 TRADE DECISION: ' + recommendation + ' (' + confidence + '%) - Min: ' + minConfidence + '%');
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return isHighConfidence && isClearDirection;
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}
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async executeTrade(analysis) {
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try {
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console.log('💰 EXECUTING TRADE...');
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// Map analysis recommendation to trading side
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const recommendation = analysis.recommendation?.toLowerCase() || '';
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let side = '';
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if (recommendation.includes('buy')) {
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side = 'BUY';
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} else if (recommendation.includes('sell')) {
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side = 'SELL';
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} else {
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console.log('❌ TRADE SKIP: Invalid recommendation - ' + recommendation);
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return { success: false, error: 'Invalid recommendation: ' + recommendation };
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}
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// Use the trading API with proper fields
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const tradePayload = {
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symbol: this.config.symbol,
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side: side,
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amount: this.config.tradingAmount || 10, // Default to $10 if not set
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type: 'market',
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tradingMode: 'SPOT',
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analysis: analysis // Include analysis for reference
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};
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console.log('📊 TRADE PAYLOAD:', tradePayload);
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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const response = await fetch(`${baseUrl}/api/trading/execute-drift`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify(tradePayload)
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});
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const result = await response.json();
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if (result.success) {
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console.log('✅ TRADE EXECUTED: ' + result.message);
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this.stats.totalTrades = (this.stats.totalTrades || 0) + 1;
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this.stats.successfulTrades = (this.stats.successfulTrades || 0) + 1;
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} else {
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console.log('❌ TRADE FAILED: ' + result.error);
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}
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return result;
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} catch (error) {
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console.error('❌ TRADE ERROR:', error.message);
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return { success: false, error: error.message };
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}
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}
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getStatus() {
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return {
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isActive: this.isRunning,
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mode: this.config?.mode || 'SIMULATION',
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symbol: this.config?.symbol || 'SOLUSD',
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timeframes: this.config?.selectedTimeframes || [],
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automationType: 'SIMPLE',
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...this.stats
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};
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}
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}
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// Export singleton instance
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const simpleAutomation = new SimpleAutomation();
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export { simpleAutomation };
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