CompanyIQ MCP Server

import dotenv from 'dotenv'; dotenv.config(); import { OpenAIVisionParser } from './build/scraper/openai_vision_parser.js'; import { existsSync, readdirSync } from 'fs'; import { resolve } from 'path'; async function testPngConversion() { console.log('🧪 Testing PNG Conversion Process'); console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n'); const apiKey = process.env.OPENAI_API_KEY; if (!apiKey) { console.error('❌ OPENAI_API_KEY not found!'); process.exit(1); } try { console.log('📖 Initializing OpenAI Vision Parser...'); const parser = new OpenAIVisionParser(apiKey); // Test with an existing PDF // First check what PDFs are available const pdfFolders = ['data/pdfs/984562861', 'data/pdfs/999059198', 'data/pdfs/temp']; let testPdf = null; for (const folder of pdfFolders) { if (existsSync(folder)) { const files = readdirSync(folder).filter(f => f.endsWith('.pdf')); if (files.length > 0) { testPdf = resolve(folder, files[0]); break; } } } if (!testPdf) { console.error(`❌ No test PDFs found in any folder`); console.error(' Please run browser scraper first to download PDFs'); process.exit(1); } console.log(`✅ Found test PDF: ${testPdf}`); console.log(`📊 Working directory: ${process.cwd()}`); console.log('\n🔄 Starting PDF parsing (will convert to PNG)...\n'); const startTime = Date.now(); const result = await parser.parseFinancialPDF(testPdf); const duration = Math.round((Date.now() - startTime) / 1000); console.log('\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━'); console.log('📊 EXTRACTION RESULTS'); console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n'); console.log(`⏱️ Time taken: ${duration} seconds`); console.log(`💰 Revenue: ${result.revenue ? (result.revenue/1000000).toFixed(1) + 'M NOK' : 'Not found'}`); console.log(`📈 Profit: ${result.profit ? (result.profit/1000000).toFixed(1) + 'M NOK' : 'Not found'}`); console.log(`🏢 Assets: ${result.assets ? (result.assets/1000000).toFixed(1) + 'M NOK' : 'Not found'}`); console.log(`💎 Equity: ${result.equity ? (result.equity/1000000).toFixed(1) + 'M NOK' : 'Not found'}`); // Check if PNG files were created // Extract org number and filename from test PDF const pdfName = testPdf.split('/').pop().replace('.pdf', ''); const orgMatch = pdfName.match(/(\d{9})/); const orgNr = orgMatch ? orgMatch[1] : 'unknown'; const pngFolder = resolve('data/pdfs/png_images', orgNr, pdfName); console.log(`\n📁 PNG folder: ${pngFolder}`); if (existsSync(pngFolder)) { const pngFiles = readdirSync(pngFolder).filter(f => f.endsWith('.png')); console.log(`✅ Created ${pngFiles.length} PNG files`); if (pngFiles.length > 0) { console.log(` Sample files: ${pngFiles.slice(0, 3).join(', ')}...`); } } else { console.log('⚠️ PNG folder not found - conversion might have failed'); } if (result.revenue || result.profit || result.assets || result.equity) { console.log('\n🎉 PNG conversion and Vision API extraction successful!'); } else { console.log('\n⚠️ No data extracted - check the logs above for issues'); } } catch (error) { console.error('\n❌ Test failed:', error.message || error); console.error('\nStack trace:', error.stack); } } testPngConversion();