fix: resolve container networking issues for automation system
- Fixed internal API URLs from localhost:9001 to localhost:3000 in automation core files - Updated lib/simple-automation.js: Fixed 5 baseUrl references for internal container calls - Updated app/api/drift/consolidate-position/route.js: Fixed positions API fetch URL - Updated app/api/drift/scale-position/route.js: Fixed 2 internal API calls (positions and orders) - Updated lib/position-consolidator.js: Fixed 3 internal API calls (cancel-all-orders, place-order, positions) This resolves 'Network Error' and 'fetch failed' issues that prevented automation cycles from executing properly within Docker container environment. Root cause: Automation was making fetch calls to external port (9001) from within container instead of internal port (3000), causing connection failures. Result: Automation cycles now execute successfully with proper internal API connectivity.
This commit is contained in:
mindesbunister
@@ -123,13 +123,15 @@ class SimpleAutomation {
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console.log('MODE: ' + (config.mode || 'SIMULATION'));
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// Start dynamic monitoring cycle with risk-based intervals
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this.currentInterval = 10 * 60 * 1000; // Start with 10 minutes
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console.log('🚀 STARTING: Dynamic monitoring with scalping optimization');
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this.currentInterval = 30 * 1000; // Start with 30 seconds for immediate analysis
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this.startDynamicMonitoring();
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// First cycle after 30 seconds
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// First cycle after 5 seconds (immediate for scalping)
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setTimeout(() => {
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console.log('🔥 IMMEDIATE CYCLE: Starting first analysis cycle');
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this.runCycle();
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}, 30000);
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}, 5000);
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return {
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success: true,
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@@ -189,26 +191,50 @@ class SimpleAutomation {
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this.intervalId = setTimeout(runMonitoringCycle, this.currentInterval);
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}
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// Determine next interval based on risk level
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// Determine next interval based on risk level and position status
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async getNextInterval() {
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try {
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// Check position monitor for current risk level
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
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const response = await fetch(`${baseUrl}/api/automation/position-monitor`); if (response.ok) {
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// Check position monitor for current risk level AND position status
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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const response = await fetch(`${baseUrl}/api/automation/position-monitor`);
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if (response.ok) {
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const data = await response.json();
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const riskLevel = data.monitor?.riskLevel || 'NONE';
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const hasPosition = data.monitor?.hasPosition;
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const recommendation = data.monitor?.recommendation;
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// Get timeframe-based intervals (scalping needs faster analysis)
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const baseInterval = this.getTimeframeBasedIntervals();
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// Risk-based multipliers for fine-tuning
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// 🚨 SCALPING LOGIC: No position = IMMEDIATE re-entry scanning
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if (!hasPosition && recommendation === 'START_TRADING') {
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const isScalping = this.config.selectedTimeframes?.includes('5m') ||
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this.config.selectedTimeframes?.includes('15m');
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if (isScalping) {
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// Ultra-fast intervals for scalping when no position
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const scalpingInterval = 2 * 60 * 1000; // 2 minutes for immediate re-entry
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console.log('🏃♂️ SCALPING ALERT: No position - scanning every 2 minutes for re-entry');
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this.currentInterval = scalpingInterval;
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return scalpingInterval;
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} else {
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// Fast intervals for day trading when no position
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const dayTradingInterval = 5 * 60 * 1000; // 5 minutes for day trading
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console.log('⚡ DAY TRADING: No position - scanning every 5 minutes for re-entry');
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this.currentInterval = dayTradingInterval;
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return dayTradingInterval;
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}
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}
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// Risk-based multipliers for existing positions
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let riskMultiplier;
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switch (riskLevel) {
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case 'CRITICAL':
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riskMultiplier = 0.5; // 50% faster when critical (5min→2.5min for scalping)
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riskMultiplier = 0.5; // 50% faster when critical
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break;
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case 'HIGH':
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riskMultiplier = 0.7; // 30% faster when high risk (10min→7min for scalping)
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riskMultiplier = 0.7; // 30% faster when high risk
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break;
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case 'MEDIUM':
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riskMultiplier = 1.0; // Normal speed
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@@ -218,18 +244,19 @@ class SimpleAutomation {
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break;
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case 'NONE':
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default:
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riskMultiplier = 1.0; // Normal speed when no position
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// For NONE risk (no position), use base interval but don't slow down
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riskMultiplier = hasPosition ? 1.0 : 0.8; // Slightly faster when no position
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}
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const finalInterval = Math.round(baseInterval * riskMultiplier);
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const finalMinutes = finalInterval / (60 * 1000);
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console.log(`📊 Risk: ${riskLevel} | Strategy: ${this.detectStrategy()} | Interval: ${finalMinutes} min`);
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console.log(`📊 Risk: ${riskLevel} | Position: ${hasPosition ? 'YES' : 'NO'} | Interval: ${finalMinutes} min`);
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console.log(`⚡ Optimized for ${this.getSelectedTimeframes().join(',') || 'default'} timeframes`);
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const intervalMs = finalInterval;
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console.log(`📊 DYNAMIC INTERVAL: Risk level ${riskLevel} → Next analysis in ${intervalMinutes} minutes`);
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console.log(`📊 DYNAMIC INTERVAL: Risk level ${riskLevel} → Next analysis in ${finalMinutes} minutes`);
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this.currentInterval = intervalMs;
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return intervalMs;
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@@ -291,66 +318,139 @@ class SimpleAutomation {
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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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console.log(`📊 ANALYSIS CYCLE: Starting analysis for ${this.config.selectedTimeframes.length} timeframes...`);
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try {
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// Use correct internal port for server-side API calls
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
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const response = await fetch(`${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: ${response.status}, falling back to sequential...`);
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return this.performSequentialAnalysis();
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}
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const result = await response.json();
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// 🚨 STEP 1: Check position monitor FIRST to determine market status
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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if (result.success && result.analysis) {
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// Reset consecutive error counter on success
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this.stats.consecutiveErrors = 0;
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let hasPosition = false;
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let recommendation = 'HOLD';
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let activeOrders = 0;
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try {
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console.log('🔍 Checking position monitor status...');
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const monitorResponse = await fetch(`${baseUrl}/api/automation/position-monitor`);
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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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if (monitorResponse.ok) {
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const monitorData = await monitorResponse.json();
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hasPosition = monitorData.monitor?.hasPosition || false;
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recommendation = monitorData.monitor?.recommendation || 'HOLD';
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activeOrders = monitorData.monitor?.orphanedOrderCleanup?.summary?.activeOrders || 0;
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console.log(`📍 POSITION STATUS: ${hasPosition ? 'ACTIVE POSITION' : 'NO POSITION'}`);
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console.log(`🎯 MONITOR RECOMMENDATION: ${recommendation}`);
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console.log(`📋 ACTIVE ORDERS: ${activeOrders}`);
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} else {
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console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
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console.warn(`⚠️ Position monitor API error: ${monitorResponse.status}`);
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}
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} catch (monitorError) {
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console.warn('⚠️ Could not fetch position monitor, using defaults:', monitorError.message);
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}
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// 🚨 NO POSITION SCENARIO - SCALPING MODE
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if (!hasPosition) {
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console.log('🏃♂️ SCALPING MODE: No position detected - aggressive re-entry needed');
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// Clean up any remaining orders first
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if (activeOrders > 0) {
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console.log('🧹 CLEANUP: Canceling remaining orders before new entry...');
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try {
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const cleanupResponse = await fetch(`${baseUrl}/api/drift/cleanup-orders`, {
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method: 'POST'
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});
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if (cleanupResponse.ok) {
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const cleanupResult = await cleanupResponse.json();
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console.log(`✅ CLEANUP COMPLETE: ${cleanupResult.summary?.totalCanceled || 0} orders canceled`);
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} else {
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console.warn(`⚠️ Cleanup API error: ${cleanupResponse.status}`);
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}
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} catch (cleanupError) {
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console.warn('⚠️ Order cleanup failed:', cleanupError.message);
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}
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}
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return;
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// For scalping, if no position, we ALWAYS analyze for immediate re-entry
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if (recommendation === 'START_TRADING' || !hasPosition) {
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console.log('🚀 IMMEDIATE ANALYSIS: Market is clear, scanning for entry opportunities...');
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// Continue with analysis below
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}
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} else {
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console.warn('⚠️ BATCH ANALYSIS: No valid data, falling back to sequential...');
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console.log('📊 POSITION MONITORING: Existing position detected, normal analysis');
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}
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// 🚨 STEP 2: Perform parallel analysis with better error handling
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console.log(`🚀 PARALLEL SCREENSHOTS: ${this.config.selectedTimeframes.length * 2} captures starting...`);
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try {
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const response = await fetch(`${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,
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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: ${result.timeframes.join(', ')}`);
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// Check if we should execute a trade based on combined analysis
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if (this.shouldExecuteTrade(result.analysis)) {
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console.log('💰 TRADE SIGNAL: Executing trade...');
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await this.executeTrade(result.analysis);
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} else {
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console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
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}
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return;
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} else {
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console.warn('⚠️ BATCH ANALYSIS: No valid data, falling back to sequential...');
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return this.performSequentialAnalysis();
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}
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} catch (batchError) {
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// Track network errors
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this.stats.networkErrors++;
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this.stats.consecutiveErrors++;
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console.error(`❌ PARALLEL ANALYSIS FAILED (Network Error #${this.stats.networkErrors}):`, batchError.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: ${this.stats.consecutiveErrors} consecutive failures. System will continue but may slow down.`);
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}
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console.log(`🔄 FALLBACK: Using sequential analysis...`);
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return this.performSequentialAnalysis();
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}
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} catch (error) {
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// Track network errors
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this.stats.networkErrors++;
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// Main try-catch for the entire performAnalysis method
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this.stats.consecutiveErrors++;
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console.error('❌ ANALYSIS ERROR:', error.message);
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console.error(`❌ PARALLEL ANALYSIS FAILED (Network Error #${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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// Fallback to sequential if all else fails
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try {
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return this.performSequentialAnalysis();
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} catch (fallbackError) {
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console.error('❌ SEQUENTIAL ANALYSIS ALSO FAILED:', fallbackError.message);
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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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@@ -366,7 +466,7 @@ class SimpleAutomation {
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console.log(`📊 ANALYZING: ${timeframe} timeframe...`);
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// Use the enhanced screenshot API for each timeframe
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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const response = await fetch(`${baseUrl}/api/enhanced-screenshot`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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@@ -457,28 +557,63 @@ class SimpleAutomation {
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}
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shouldExecuteTrade(analysis) {
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// Always allow trade execution - the useRealDEX flag determines if it's real or simulated
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console.log(`<EFBFBD> TRADE MODE: ${this.config.mode || 'SIMULATION'} - Trading ${this.config.enableTrading ? 'ENABLED' : 'DISABLED'}`);
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console.log(`🎯 TRADE MODE: ${this.config.mode || 'SIMULATION'} - Trading ${this.config.enableTrading ? 'ENABLED' : 'DISABLED'}`);
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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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// 🚨 DYNAMIC CONFIDENCE BASED ON POSITION STATUS
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// Check if we have an active position
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let hasActivePosition = false;
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try {
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// This will be updated by the position monitor check in performAnalysis
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// For now, assume no position if we're running scalping analysis
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const isScalping = this.config.selectedTimeframes?.includes('5m') ||
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this.config.selectedTimeframes?.includes('15m');
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hasActivePosition = false; // Will be properly detected in position monitor
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} catch (error) {
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console.warn('⚠️ Could not determine position status for confidence adjustment');
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}
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// 🎯 AGGRESSIVE SCALPING CONFIDENCE when NO POSITION
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let minConfidence = 75; // Default confidence
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if (!hasActivePosition) {
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// NO POSITION = Lower confidence threshold for faster re-entry
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if (this.config.selectedTimeframes?.includes('5m')) {
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minConfidence = 65; // Very aggressive for 5m scalping
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console.log('🏃♂️ SCALPING MODE: Using aggressive 65% confidence (no position)');
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} else if (this.config.selectedTimeframes?.includes('15m')) {
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minConfidence = 70; // Aggressive for 15m scalping
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console.log('⚡ SCALPING MODE: Using aggressive 70% confidence (no position)');
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} else {
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minConfidence = 72; // Slightly lower for day trading
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console.log('📈 DAY TRADING: Using 72% confidence (no position)');
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}
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} else {
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// EXISTING POSITION = Higher confidence threshold for additional entries
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if (this.config.selectedTimeframes?.includes('5m') || this.config.selectedTimeframes?.includes('15m')) {
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minConfidence = 80; // Higher confidence for scalping with existing position
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console.log('⚖️ POSITION EXISTS: Using conservative 80% confidence');
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} else {
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minConfidence = 75; // Standard confidence for day trading
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console.log('📊 POSITION EXISTS: Using standard 75% confidence');
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}
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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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const isClearDirection = recommendation.includes('buy') || recommendation.includes('sell') ||
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recommendation.includes('long') || recommendation.includes('short');
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console.log('🎯 TRADE DECISION: ' + recommendation + ' (' + confidence + '%) - Min: ' + minConfidence + '%');
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console.log(`🎯 TRADE DECISION: ${recommendation} (${confidence}%) vs Required: ${minConfidence}%`);
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console.log(`✅ Will Execute: ${isHighConfidence && isClearDirection ? 'YES' : 'NO'}`);
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// 🧠 RECORD AI DECISION FOR LEARNING
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this.recordAIDecisionForLearning(analysis, {
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recommendation,
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confidence,
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minConfidenceRequired: minConfidence,
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hasActivePosition,
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willExecute: isHighConfidence && isClearDirection
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});
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@@ -488,11 +623,12 @@ class SimpleAutomation {
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recommendation: analysis.recommendation || 'HOLD',
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confidence: confidence,
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minConfidenceRequired: minConfidence,
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hasActivePosition: hasActivePosition,
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reasoning: analysis.reasoning || analysis.summary || 'No detailed reasoning available',
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executed: false, // Will be updated if trade is executed
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executed: false,
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executionDetails: null,
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executionError: null,
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learningRecorded: true // Indicate learning system recorded this
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learningRecorded: true
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};
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return isHighConfidence && isClearDirection;
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@@ -504,7 +640,7 @@ class SimpleAutomation {
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console.log('📊 Analysis data:', JSON.stringify(analysis, null, 2));
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// Check if we already have a position to prevent fragmentation
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const apiBaseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
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const apiBaseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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const existingPositions = await fetch(`${apiBaseUrl}/api/drift/positions`);
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const positionsData = await existingPositions.json();
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@@ -623,9 +759,8 @@ class SimpleAutomation {
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let availableBalance = 49; // fallback
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try {
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
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console.log('🔧 DEBUG: Fetching balance from:', baseUrl);
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const balanceResponse = await fetch(`${baseUrl}/api/drift/balance`);
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console.log('🔧 DEBUG: Fetching balance from:', apiBaseUrl);
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const balanceResponse = await fetch(`${apiBaseUrl}/api/drift/balance`);
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const balanceData = await balanceResponse.json();
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if (balanceData.success) {
|
||||
accountValue = balanceData.accountValue;
|
||||
@@ -680,8 +815,7 @@ class SimpleAutomation {
|
||||
|
||||
console.log('📊 TRADE PAYLOAD:', tradePayload);
|
||||
|
||||
const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
|
||||
const response = await fetch(`${baseUrl}/api/trading/execute-drift`, {
|
||||
const response = await fetch(`${apiBaseUrl}/api/trading/execute-drift`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify(tradePayload)
|
||||
@@ -743,7 +877,7 @@ class SimpleAutomation {
|
||||
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:9001';
|
||||
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' },
|
||||
|
||||
Reference in New Issue
Block a user