fix: add AI decisions to live-decisions API for dashboard visibility
- Added live-decisions API call after learning system recording - All AI decisions (HOLD, BUY, SELL) now appear in dashboard - Fixed the 'Waiting for Analysis' issue in frontend - Decisions include full context: confidence, reasoning, levels, etc
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@@ -3,25 +3,15 @@ let automationInstance = null;
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async function createAutomationInstance() {
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try {
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// Try to import the learning-enhanced automation first
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const AutomationWithLearning = (await import('./automation-with-learning-v2.js')).default;
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console.log('✅ Creating automation instance with AI learning system');
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return new AutomationWithLearning();
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} catch (error) {
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console.warn('⚠️ Learning-enhanced automation not available, falling back to basic automation');
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console.warn('Error:', error.message);
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// Fallback to basic automation
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try {
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// Use the working simple automation directly
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const { simpleAutomation } = await import('./simple-automation.js');
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console.log('✅ Creating basic automation instance');
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console.log('✅ Creating automation instance with simple automation (working)');
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return simpleAutomation;
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} catch (fallbackError) {
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console.error('❌ Could not create any automation instance:', fallbackError);
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} catch (error) {
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console.error('❌ Could not create automation instance:', error);
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throw new Error('No automation system available');
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}
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}
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}
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async function getAutomationInstance() {
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if (!automationInstance) {
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@@ -1249,6 +1249,33 @@ class SimpleAutomation {
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const decisionId = await this.learner.recordDecision(decisionData);
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console.log(`🧠 AI Decision recorded for learning: ${decisionData.decision} (ID: ${decisionId})`);
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// 📊 ALSO LOG TO LIVE DECISIONS API FOR DASHBOARD VISIBILITY
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try {
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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await fetch(`${baseUrl}/api/automation/live-decisions`, {
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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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type: 'AI_DECISION',
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action: decisionData.recommendation?.toUpperCase() || decisionData.decision,
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symbol: decisionData.symbol,
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blocked: !decisionContext.willExecute,
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executed: decisionContext.willExecute,
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confidence: decisionData.confidence,
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entryPrice: decisionData.aiLevels.entry || 0,
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stopLoss: decisionData.aiLevels.stopLoss,
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takeProfit: decisionData.aiLevels.takeProfit,
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reasoning: decisionData.reasoning,
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timestamp: new Date().toISOString(),
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cycle: this.stats.totalCycles,
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learningDecisionId: decisionId
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})
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});
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console.log(`📊 AI Decision logged to live-decisions API: ${decisionData.decision}`);
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} catch (apiError) {
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console.warn('⚠️ Failed to log decision to live-decisions API:', apiError.message);
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}
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// Store decision ID for later outcome tracking
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if (this.lastDecision) {
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this.lastDecision.learningDecisionId = decisionId;
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Binary file not shown.
91
show-ai-decision.js
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91
show-ai-decision.js
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@@ -0,0 +1,91 @@
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#!/usr/bin/env node
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/**
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* Show Last AI Decision Script
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* Forces the automation to analyze current market conditions and displays the AI decision
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*/
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async function showLastAIDecision() {
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try {
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console.log('🔍 Checking for AI automation decisions...\n');
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// 1. Check current automation status
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console.log('📊 AUTOMATION STATUS:');
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const statusResponse = await fetch('http://localhost:3000/api/automation/status');
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const statusData = await statusResponse.json();
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console.log(` Running: ${statusData.isRunning ? '✅ YES' : '❌ NO'}`);
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console.log(` Strategy: ${statusData.strategy || 'Not set'}`);
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console.log(` Mode: ${statusData.mode || 'Not set'}`);
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console.log(` Timeframes: ${statusData.selectedTimeframes?.join(', ') || 'Not set'}`);
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// 2. Check if there's a recent decision
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console.log('\n🧠 LAST AI DECISION:');
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if (statusData.lastDecision) {
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const decision = statusData.lastDecision;
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console.log(` 📈 Recommendation: ${decision.recommendation || 'None'}`);
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console.log(` 🎯 Confidence: ${decision.confidence || 0}%`);
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console.log(` 💰 Entry Price: $${decision.executionDetails?.currentPrice || 'N/A'}`);
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console.log(` 🛑 Stop Loss: $${decision.executionDetails?.stopLoss || 'N/A'}`);
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console.log(` 🎯 Take Profit: $${decision.executionDetails?.takeProfit || 'N/A'}`);
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console.log(` 📅 Timestamp: ${decision.timestamp || 'N/A'}`);
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console.log(` 📝 AI Reasoning:`);
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console.log(` ${decision.reasoning || 'No reasoning provided'}`);
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} else {
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console.log(' ❌ No recent AI decision found');
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}
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// 3. Check current position status
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console.log('\n💼 CURRENT POSITION:');
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const posResponse = await fetch('http://localhost:3000/api/drift/positions');
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const posData = await posResponse.json();
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if (posData.positions && posData.positions.length > 0) {
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const position = posData.positions[0];
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console.log(` 📊 Position: ${position.side} ${position.size} SOL`);
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console.log(` 💵 Entry Price: $${position.entryPrice?.toFixed(4) || 'N/A'}`);
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console.log(` 📈 Current Price: $${position.markPrice?.toFixed(4) || 'N/A'}`);
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// Calculate P&L
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if (position.entryPrice && position.markPrice) {
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const pnl = position.side.toLowerCase() === 'long' ?
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(position.markPrice - position.entryPrice) * position.size :
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(position.entryPrice - position.markPrice) * position.size;
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console.log(` 💰 Current P&L: $${pnl.toFixed(2)} ${pnl >= 0 ? '✅' : '❌'}`);
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}
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} else {
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console.log(' 📭 No active positions');
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}
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// 4. Check recent AI analysis activity
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console.log('\n📈 RECENT AI ANALYSIS:');
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try {
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const analysisResponse = await fetch('http://localhost:3000/api/automation/analysis-details');
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const analysisData = await analysisResponse.json();
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if (analysisData.success && analysisData.data) {
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console.log(` 🔍 Analysis Status: ${analysisData.data.analysis?.decision || 'No decision'}`);
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console.log(` 🎯 Confidence: ${analysisData.data.analysis?.confidence || 0}%`);
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console.log(` 📊 Market Sentiment: ${analysisData.data.analysis?.sentiment || 'Unknown'}`);
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console.log(` 📅 Last Analysis: ${analysisData.data.session?.lastAnalysisAt || 'Unknown'}`);
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}
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} catch (analysisError) {
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console.log(' ❌ Could not fetch analysis details');
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}
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// 5. Force new analysis if automation is running but no recent decision
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if (statusData.isRunning && !statusData.lastDecision) {
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console.log('\n🔄 AUTOMATION IS RUNNING BUT NO RECENT DECISIONS...');
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console.log(' 💡 The AI is likely in analysis mode or waiting for optimal entry conditions');
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console.log(' 📊 Check the automation-v2 page for real-time analysis updates');
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console.log(' 🕐 Next analysis cycle should complete within 2 minutes');
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}
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console.log('\n✅ AI Decision Check Complete!');
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console.log('📱 View live updates at: http://localhost:9001/automation-v2');
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} catch (error) {
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console.error('❌ Error checking AI decision:', error.message);
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}
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}
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showLastAIDecision();
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