// Load Modules const express = require('express'); const multer = require('multer'); const pdf = require('pdf-parse'); const { Document, Packer, Paragraph, TextRun } = require('docx'); const Anthropic = require('@anthropic-ai/sdk'); // Load Environment Variables require('dotenv').config(); const router = express.Router(); const upload = multer({ storage: multer.memoryStorage() }); // initialize LLM //TODO Update to have User Provide their own key const anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY, }); // Handle Resume upload and user input for Job Description router.post('/', upload.single('resume'), async (req, res) =>{ try{ if (!req.file || !req.body.jobDescription) { return res.status(400).json({ error: 'Resume and Job Description are required' }); } let resumeText = req.file.buffer.toString('utf-8'); const jobDescription = req.body.jobDescription; if (req.file.mimetype === 'application/pdf') { const pdfData = await pdf(req.file.buffer); resumeText = pdfData.text; } // Load the LLM APi Messages // These include placeholders to be replaced later in function const resume_parser_api = require('../data/resume_parser_api.json'); const cover_letter_api = require('../data/cover_letter_api.json'); // Replace placeholder in resume api with extracted text resume_parser_api.messages[0].content[0].text = resume_parser_api.messages[0].content[0].text.replace("{{resume}}", resumeText); // Send resume to LLM const resumeResponse = await anthropic.messages.create(resume_parser_api); const candidateProfile = resumeResponse.content[0].text.split('```json')[1].split('```')[0].trim(); // Replace variables in cover letter API prompt cover_letter_api.messages[0].content[0].text = cover_letter_api.messages[0].content[0].text .replace('{{resume_json}}', candidateProfile) .replace('{{job_description}}', jobDescription) .replace('{{date}}', new Date().toDateString()); //Send data to LLM to generate Cover Letter const coverLetterResponse = await anthropic.messages.create(cover_letter_api); const coverLetterRawText = coverLetterResponse.content[0].text.split('')[1].split('')[0].trim(); res.json({ coverLetter: coverLetterRawText }); } catch (error) { console.error(error); res.status(500).json({ error: 'Error generating cover letter' }); } }); router.post('/download', async (req, res) => { try { const { coverLetterText } = req.body; // Generate .docx file dynamically const docBuffer = await generateCoverLetter(coverLetterText); // Set response headers for file download res.setHeader('Content-Disposition', 'attachment; filename="cover_letter.docx"'); res.setHeader('Content-Type', 'application/vnd.openxmlformats-officedocument.wordprocessingml.document'); res.send(docBuffer); } catch (error) { console.error(error); res.status(500).json({ error: 'Error generating document' }); } }); function generateCoverLetter(rawText, outputFilename) { // Extract all sections in one go using an object const sections = ['header', 'greeting', 'introduction', 'body', 'conclusion', 'signature'] .reduce((acc, section) => ({ ...acc, [section]: rawText.match(new RegExp(`<${section}>(.*?)<\/${section}>`, 's'))[1].trim() }), {}); // Create document with all sections const doc = new Document({ sections: [{ properties: {}, children: Object.values(sections).map(text => new Paragraph({ children: [ new TextRun(text), new TextRun("\n\n") ] }) ) }] }); return Packer.toBuffer(doc); } module.exports = router;