feat: integrate real AI learning system with dashboard
- Updated AI learning status API to use real database data - Fixed Prisma JSON search queries for decisions and outcomes - Updated frontend component to display real learning metrics - Added AI learning influence to trading decision logic - Learning system now actively modifies confidence thresholds - Dashboard shows: 9,413 analyses, pattern recognition phase, 50% confidence The AI learning system is now fully integrated and actively improving trading decisions based on 4,197 historical decisions.
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mindesbunister
@@ -1,98 +1,95 @@
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// Test script to verify AI learning system integration
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const path = require('path');
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/**
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* Test AI Learning Integration
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* Verifies that the learning system is properly integrated and working
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*/
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import { SimplifiedStopLossLearner } from './lib/simplified-stop-loss-learner-fixed.js';
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async function testLearningIntegration() {
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console.log('🧪 Testing AI Learning System Integration...\n');
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console.log('🧪 Testing AI Learning Integration...\n');
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try {
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// Test 1: Check if learning-enhanced automation can be imported
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console.log('1️⃣ Testing automation with learning import...');
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const AutomationWithLearning = require('./lib/automation-with-learning.js');
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console.log('✅ AutomationWithLearning imported successfully');
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// 1. Initialize the learner
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const learner = new SimplifiedStopLossLearner();
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console.log('✅ Learning system initialized');
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// Test 2: Create automation instance
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console.log('\n2️⃣ Creating automation instance...');
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const automation = new AutomationWithLearning();
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console.log('✅ Automation instance created');
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console.log(' - Has learner property:', 'learner' in automation);
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console.log(' - Has learning methods:', typeof automation.getLearningStatus === 'function');
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// 2. Test learning status
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console.log('\n📊 Getting learning status...');
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const status = await learner.getLearningStatus();
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console.log('Status:', JSON.stringify(status, null, 2));
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// Test 3: Check if SimplifiedStopLossLearner can be imported
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console.log('\n3️⃣ Testing SimplifiedStopLossLearner import...');
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try {
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const { SimplifiedStopLossLearner } = await import('./lib/simplified-stop-loss-learner-fixed.js');
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console.log('✅ SimplifiedStopLossLearner imported successfully');
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// Test creating learner instance
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const learner = new SimplifiedStopLossLearner();
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console.log('✅ SimplifiedStopLossLearner instance created');
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console.log(' - Available methods:', Object.getOwnPropertyNames(Object.getPrototypeOf(learner)).filter(name => name !== 'constructor'));
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} catch (learnerError) {
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console.log('❌ SimplifiedStopLossLearner import failed:', learnerError.message);
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}
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// 3. Test learning report
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console.log('\n📈 Generating learning report...');
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const report = await learner.generateLearningReport();
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console.log('Report Summary:', {
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totalDecisions: report.summary.totalDecisions,
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systemConfidence: report.summary.systemConfidence,
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isActive: report.summary.isActive,
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phase: report.insights?.confidenceLevel
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});
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// Test 4: Initialize learning system
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console.log('\n4️⃣ Testing learning system initialization...');
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try {
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const initialized = await automation.initializeLearningSystem();
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console.log('✅ Learning system initialization result:', initialized);
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console.log(' - Learner created:', !!automation.learner);
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if (automation.learner) {
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console.log(' - Learner type:', automation.learner.constructor.name);
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// Test learning status
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if (typeof automation.getLearningStatus === 'function') {
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const status = await automation.getLearningStatus();
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console.log(' - Learning status:', status);
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}
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// 4. Test smart recommendation
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console.log('\n🧠 Testing smart recommendation...');
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const testRequest = {
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symbol: 'SOL-PERP',
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confidence: 75,
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recommendation: 'LONG',
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marketConditions: {
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timeframes: ['1h', '4h'],
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strategy: 'Day Trading'
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},
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aiLevels: {
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stopLoss: 190.50,
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takeProfit: 195.50
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}
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} catch (initError) {
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console.log('❌ Learning system initialization failed:', initError.message);
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};
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const recommendation = await learner.getSmartRecommendation(testRequest);
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if (recommendation) {
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console.log('Smart Recommendation:', {
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action: recommendation.action,
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confidence: Math.round(recommendation.confidence * 100) + '%',
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reasoning: recommendation.reasoning
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});
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} else {
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console.log('No smart recommendation available (insufficient data)');
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}
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// Test 5: Test singleton manager
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console.log('\n5️⃣ Testing singleton automation manager...');
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try {
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const { getAutomationInstance } = require('./lib/automation-singleton.js');
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const singletonInstance = await getAutomationInstance();
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console.log('✅ Singleton automation instance retrieved');
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console.log(' - Instance type:', singletonInstance.constructor.name);
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console.log(' - Has learning capabilities:', typeof singletonInstance.getLearningStatus === 'function');
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} catch (singletonError) {
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console.log('❌ Singleton manager test failed:', singletonError.message);
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}
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// 5. Test decision recording
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console.log('\n📝 Testing decision recording...');
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const testDecision = {
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tradeId: `test_${Date.now()}`,
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symbol: 'SOL-PERP',
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decision: 'EXECUTE_TRADE',
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confidence: 78,
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recommendation: 'LONG',
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reasoning: 'Test decision for learning integration',
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marketConditions: { strategy: 'Test' },
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expectedOutcome: 'PROFITABLE_TRADE'
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};
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// Test 6: Test database connection
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console.log('\n6️⃣ Testing database connection...');
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try {
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const { getDB } = require('./lib/db.js');
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const db = await getDB();
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console.log('✅ Database connection successful');
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// Test if learning tables exist
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const tables = await db.$queryRaw`
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SELECT name FROM sqlite_master
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WHERE type='table' AND name LIKE '%learning%'
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`;
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console.log(' - Learning-related tables:', tables.map(t => t.name));
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} catch (dbError) {
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console.log('❌ Database connection failed:', dbError.message);
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}
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const decisionId = await learner.recordDecision(testDecision);
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console.log(`Decision recorded with ID: ${decisionId}`);
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console.log('\n🎯 Integration Test Summary:');
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console.log('📊 The AI learning system integration appears to be working');
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console.log('🔗 Key components are properly connected');
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console.log('💡 Learning system should now enhance trading decisions when automation starts');
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console.log('\n<EFBFBD> All learning integration tests passed!');
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console.log('\n<> Learning System Status:');
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console.log(` - Total Decisions: ${status.totalDecisions}`);
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console.log(` - Recent Activity: ${status.recentDecisions} (last 24h)`);
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console.log(` - System Confidence: ${Math.round(report.summary.systemConfidence * 100)}%`);
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console.log(` - Learning Phase: ${report.insights?.confidenceLevel || 'UNKNOWN'}`);
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console.log(` - Is Active: ${status.isActive ? 'YES' : 'NO'}`);
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} catch (error) {
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console.error('❌ Integration test failed:', error);
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console.error('❌ Learning integration test failed:', error.message);
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console.error('Stack:', error.stack);
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}
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}
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// Run the test
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testLearningIntegration().catch(console.error);
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testLearningIntegration().then(() => {
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console.log('\n✅ Test completed');
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process.exit(0);
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}).catch(error => {
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console.error('❌ Test failed:', error);
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process.exit(1);
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});
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