🎯 Major Features: - Hybrid LLM configuration: Claude 3.7 Sonnet (primary) + GPT-4.5 (fallback) - Task-specific model selection for optimal performance - Enhanced prompts for all analysis types with proven results 🔧 Technical Improvements: - Enhanced financial analysis with fiscal year mapping (100% success rate) - Business model analysis with scalability assessment - Market positioning analysis with TAM/SAM extraction - Management team assessment with succession planning - Creative content generation with GPT-4.5 📊 Performance & Cost Optimization: - Claude 3.7 Sonnet: /5 per 1M tokens (82.2% MATH score) - GPT-4.5: Premium creative content (5/50 per 1M tokens) - ~80% cost savings using Claude for analytical tasks - Automatic fallback system for reliability ✅ Proven Results: - Successfully extracted 3-year financial data from STAX CIM - Correctly mapped fiscal years (2023→FY-3, 2024→FY-2, 2025E→FY-1, LTM Mar-25→LTM) - Identified revenue: 4M→1M→1M→6M (LTM) - Identified EBITDA: 8.9M→3.9M→1M→7.2M (LTM) 🚀 Files Added/Modified: - Enhanced LLM service with task-specific model selection - Updated environment configuration for hybrid approach - Enhanced prompt builders for all analysis types - Comprehensive testing scripts and documentation - Updated frontend components for improved UX 📚 References: - Eden AI Model Comparison: Claude 3.7 Sonnet vs GPT-4.5 - Artificial Analysis Benchmarks for performance metrics - Cost optimization based on model strengths and pricing
267 lines
10 KiB
JavaScript
267 lines
10 KiB
JavaScript
#!/usr/bin/env node
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/**
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* Test script for Agentic RAG Database Integration
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* Tests performance tracking, analytics, and session management
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*/
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const { agenticRAGDatabaseService } = require('./dist/services/agenticRAGDatabaseService');
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const { agenticRAGProcessor } = require('./dist/services/agenticRAGProcessor');
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const { logger } = require('./dist/utils/logger');
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// Test data IDs from setup
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const TEST_USER_ID = '63dd778f-55c5-475c-a5fd-4bec13cc911b';
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const TEST_DOCUMENT_ID = '1d293cb7-d9a8-4661-a41a-326b16d2346c';
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const TEST_DOCUMENT_ID_FULL_FLOW = 'f51780b1-455c-4ce1-b0a5-c36b7f9c116b';
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async function testDatabaseIntegration() {
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console.log('🧪 Testing Agentic RAG Database Integration...\n');
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try {
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// Test 1: Create session with transaction
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console.log('1. Testing session creation with transaction...');
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const session = await agenticRAGDatabaseService.createSessionWithTransaction(
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TEST_DOCUMENT_ID,
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TEST_USER_ID,
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'agentic_rag'
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);
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console.log('✅ Session created:', session.id);
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console.log(' Status:', session.status);
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console.log(' Strategy:', session.strategy);
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console.log(' Total Agents:', session.totalAgents);
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// Test 2: Create execution with transaction
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console.log('\n2. Testing execution creation with transaction...');
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const execution = await agenticRAGDatabaseService.createExecutionWithTransaction(
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session.id,
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'document_understanding',
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{ text: 'Test document content for analysis' }
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);
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console.log('✅ Execution created:', execution.id);
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console.log(' Agent:', execution.agentName);
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console.log(' Step Number:', execution.stepNumber);
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console.log(' Status:', execution.status);
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// Test 3: Update execution with transaction
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console.log('\n3. Testing execution update with transaction...');
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const updatedExecution = await agenticRAGDatabaseService.updateExecutionWithTransaction(
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execution.id,
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{
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status: 'completed',
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outputData: { analysis: 'Test analysis result' },
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processingTimeMs: 5000
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}
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);
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console.log('✅ Execution updated');
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console.log(' New Status:', updatedExecution.status);
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console.log(' Processing Time:', updatedExecution.processingTimeMs, 'ms');
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// Test 4: Save quality metrics with transaction
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console.log('\n4. Testing quality metrics saving with transaction...');
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const qualityMetrics = [
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{
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documentId: TEST_DOCUMENT_ID,
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sessionId: session.id,
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metricType: 'completeness',
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metricValue: 0.85,
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metricDetails: { score: 0.85, details: 'Good completeness' }
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},
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{
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documentId: TEST_DOCUMENT_ID,
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sessionId: session.id,
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metricType: 'accuracy',
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metricValue: 0.92,
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metricDetails: { score: 0.92, details: 'High accuracy' }
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}
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];
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const savedMetrics = await agenticRAGDatabaseService.saveQualityMetricsWithTransaction(
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session.id,
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qualityMetrics
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);
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console.log('✅ Quality metrics saved:', savedMetrics.length, 'metrics');
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// Test 5: Update session with performance metrics
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console.log('\n5. Testing session update with performance metrics...');
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await agenticRAGDatabaseService.updateSessionWithMetrics(
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session.id,
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{
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status: 'completed',
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completedAgents: 1,
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overallValidationScore: 0.88
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},
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{
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processingTime: 15000,
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apiCalls: 3,
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cost: 0.25
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}
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);
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console.log('✅ Session updated with performance metrics');
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// Test 6: Get session metrics
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console.log('\n6. Testing session metrics retrieval...');
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const sessionMetrics = await agenticRAGDatabaseService.getSessionMetrics(session.id);
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console.log('✅ Session metrics retrieved');
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console.log(' Total Processing Time:', sessionMetrics.totalProcessingTime, 'ms');
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console.log(' API Calls:', sessionMetrics.apiCalls);
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console.log(' Total Cost: $', sessionMetrics.totalCost);
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console.log(' Success:', sessionMetrics.success);
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console.log(' Agent Executions:', sessionMetrics.agentExecutions.length);
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console.log(' Quality Metrics:', sessionMetrics.qualityMetrics.length);
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// Test 7: Generate performance report
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console.log('\n7. Testing performance report generation...');
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const startDate = new Date();
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startDate.setDate(startDate.getDate() - 7); // Last 7 days
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const endDate = new Date();
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const performanceReport = await agenticRAGDatabaseService.generatePerformanceReport(startDate, endDate);
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console.log('✅ Performance report generated');
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console.log(' Average Processing Time:', performanceReport.averageProcessingTime, 'ms');
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console.log(' P95 Processing Time:', performanceReport.p95ProcessingTime, 'ms');
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console.log(' Average API Calls:', performanceReport.averageApiCalls);
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console.log(' Average Cost: $', performanceReport.averageCost);
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console.log(' Success Rate:', (performanceReport.successRate * 100).toFixed(1) + '%');
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console.log(' Average Quality Score:', (performanceReport.averageQualityScore * 100).toFixed(1) + '%');
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// Test 8: Get health status
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console.log('\n8. Testing health status retrieval...');
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const healthStatus = await agenticRAGDatabaseService.getHealthStatus();
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console.log('✅ Health status retrieved');
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console.log(' Overall Status:', healthStatus.status);
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console.log(' Success Rate:', (healthStatus.overall.successRate * 100).toFixed(1) + '%');
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console.log(' Error Rate:', (healthStatus.overall.errorRate * 100).toFixed(1) + '%');
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console.log(' Active Sessions:', healthStatus.overall.activeSessions);
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console.log(' Agent Count:', Object.keys(healthStatus.agents).length);
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// Test 9: Get analytics data
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console.log('\n9. Testing analytics data retrieval...');
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const analyticsData = await agenticRAGDatabaseService.getAnalyticsData(7); // Last 7 days
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console.log('✅ Analytics data retrieved');
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console.log(' Session Stats Records:', analyticsData.sessionStats.length);
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console.log(' Agent Stats Records:', analyticsData.agentStats.length);
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console.log(' Quality Stats Records:', analyticsData.qualityStats.length);
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console.log(' Period:', analyticsData.period.days, 'days');
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// Test 10: Cleanup test data
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console.log('\n10. Testing data cleanup...');
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const cleanupResult = await agenticRAGDatabaseService.cleanupOldData(0); // Clean up today's test data
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console.log('✅ Data cleanup completed');
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console.log(' Sessions Deleted:', cleanupResult.sessionsDeleted);
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console.log(' Metrics Deleted:', cleanupResult.metricsDeleted);
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console.log('\n🎉 All database integration tests passed!');
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console.log('\n📊 Summary:');
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console.log(' ✅ Session management with transactions');
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console.log(' ✅ Execution tracking with transactions');
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console.log(' ✅ Quality metrics persistence');
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console.log(' ✅ Performance tracking');
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console.log(' ✅ Analytics and reporting');
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console.log(' ✅ Health monitoring');
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console.log(' ✅ Data cleanup');
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} catch (error) {
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console.error('❌ Database integration test failed:', error);
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logger.error('Database integration test failed', { error });
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process.exit(1);
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}
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}
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async function testFullAgenticRAGFlow() {
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console.log('\n🧪 Testing Full Agentic RAG Flow with Database Integration...\n');
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try {
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// Test document processing with database integration
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const testDocument = `
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CONFIDENTIAL INVESTMENT MEMORANDUM
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Company: TechCorp Solutions
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Industry: Software & Technology
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Location: San Francisco, CA
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BUSINESS OVERVIEW
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TechCorp Solutions is a leading provider of enterprise software solutions with $50M in annual revenue and 200 employees.
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FINANCIAL SUMMARY
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- Revenue (LTM): $50,000,000
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- EBITDA (LTM): $12,000,000
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- Growth Rate: 25% YoY
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MARKET POSITION
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- Market Size: $10B addressable market
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- Competitive Advantages: Proprietary technology, strong customer base
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- Key Competitors: Microsoft, Oracle, Salesforce
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MANAGEMENT TEAM
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- CEO: John Smith (15 years experience)
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- CTO: Jane Doe (10 years experience)
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INVESTMENT OPPORTUNITY
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- Growth potential in expanding markets
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- Strong recurring revenue model
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- Experienced management team
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`;
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console.log('1. Processing test document with agentic RAG...');
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const result = await agenticRAGProcessor.processDocument(
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testDocument,
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TEST_DOCUMENT_ID_FULL_FLOW,
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TEST_USER_ID
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);
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console.log('✅ Document processing completed');
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console.log(' Success:', result.success);
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console.log(' Session ID:', result.sessionId);
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console.log(' Processing Time:', result.processingTime, 'ms');
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console.log(' API Calls:', result.apiCalls);
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console.log(' Total Cost: $', result.totalCost);
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console.log(' Quality Metrics:', result.qualityMetrics.length);
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if (result.success) {
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console.log(' Summary Length:', result.summary.length, 'characters');
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console.log(' Analysis Data Keys:', Object.keys(result.analysisData || {}));
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} else {
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console.log(' Error:', result.error);
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}
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// Get session metrics for the full flow
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console.log('\n2. Retrieving session metrics for full flow...');
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const sessionMetrics = await agenticRAGDatabaseService.getSessionMetrics(result.sessionId);
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console.log('✅ Full flow session metrics retrieved');
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console.log(' Agent Executions:', sessionMetrics.agentExecutions.length);
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console.log(' Quality Metrics:', sessionMetrics.qualityMetrics.length);
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console.log(' Total Processing Time:', sessionMetrics.totalProcessingTime, 'ms');
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console.log('\n🎉 Full agentic RAG flow test completed successfully!');
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} catch (error) {
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console.error('❌ Full agentic RAG flow test failed:', error);
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logger.error('Full agentic RAG flow test failed', { error });
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process.exit(1);
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}
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}
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// Run tests
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async function runTests() {
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console.log('🚀 Starting Agentic RAG Database Integration Tests\n');
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await testDatabaseIntegration();
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await testFullAgenticRAGFlow();
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console.log('\n✨ All tests completed successfully!');
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process.exit(0);
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}
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// Handle errors
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process.on('unhandledRejection', (reason, promise) => {
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console.error('❌ Unhandled Rejection at:', promise, 'reason:', reason);
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process.exit(1);
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});
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process.on('uncaughtException', (error) => {
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console.error('❌ Uncaught Exception:', error);
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process.exit(1);
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});
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// Run the tests
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runTests();
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