Jon
57770fd99d
🎯 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
62 lines
2.2 KiB
JavaScript
62 lines
2.2 KiB
JavaScript
const { Pool } = require('pg');
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const pool = new Pool({
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connectionString: 'postgresql://postgres:password@localhost:5432/cim_processor'
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});
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async function getCompletedDocument() {
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try {
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const result = await pool.query(`
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SELECT id, original_file_name, status, summary_pdf_path, summary_markdown_path,
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generated_summary, created_at, updated_at, processing_completed_at
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FROM documents
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WHERE id = 'a6ad4189-d05a-4491-8637-071ddd5917dd'
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`);
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if (result.rows.length === 0) {
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console.log('❌ Document not found');
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return;
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}
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const document = result.rows[0];
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console.log('📄 Completed STAX Document Details:');
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console.log('====================================');
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console.log(`ID: ${document.id}`);
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console.log(`Name: ${document.original_file_name}`);
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console.log(`Status: ${document.status}`);
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console.log(`Created: ${document.created_at}`);
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console.log(`Completed: ${document.processing_completed_at}`);
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console.log(`PDF Path: ${document.summary_pdf_path || 'Not available'}`);
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console.log(`Markdown Path: ${document.summary_markdown_path || 'Not available'}`);
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console.log(`Summary Length: ${document.generated_summary ? document.generated_summary.length : 0} characters`);
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if (document.summary_pdf_path) {
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console.log('\n📁 Full PDF Path:');
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console.log(`${process.cwd()}/${document.summary_pdf_path}`);
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// Check if file exists
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const fs = require('fs');
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const fullPath = `${process.cwd()}/${document.summary_pdf_path}`;
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if (fs.existsSync(fullPath)) {
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const stats = fs.statSync(fullPath);
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console.log(`✅ PDF file exists (${stats.size} bytes)`);
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console.log(`📂 File location: ${fullPath}`);
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} else {
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console.log('❌ PDF file not found at expected location');
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}
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}
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if (document.generated_summary) {
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console.log('\n📝 Generated Summary Preview:');
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console.log('==============================');
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console.log(document.generated_summary.substring(0, 500) + '...');
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}
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} catch (error) {
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console.error('❌ Error:', error.message);
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} finally {
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await pool.end();
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}
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}
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getCompletedDocument();
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