110 lines
No EOL
3.6 KiB
JavaScript
110 lines
No EOL
3.6 KiB
JavaScript
// Load Modules
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const express = require('express');
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const multer = require('multer');
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const pdf = require('pdf-parse');
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const { Document, Packer, Paragraph, TextRun } = require('docx');
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const Anthropic = require('@anthropic-ai/sdk');
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// Load Environment Variables
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require('dotenv').config();
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const router = express.Router();
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const upload = multer({ storage: multer.memoryStorage() });
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// initialize LLM
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//TODO Update to have User Provide their own key
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const anthropic = new Anthropic({
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apiKey: process.env.ANTHROPIC_API_KEY,
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});
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// Extract resume text and return it for preview
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router.post('/extract-resume', upload.single('resume'), async (req, res) => {
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try {
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const resumeBuffer = req.file.buffer;
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const extractedResumeText = await pdf(resumeBuffer);
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res.json({ extractedText: extractedResumeText.text });
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} catch (error) {
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console.error(error);
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res.status(500).json({ error: 'Error extracting resume text' });
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}
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});
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// Handle Resume upload and user input for Job Description
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router.post('/', async (req, res) => {
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try {
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const { extractedResumeText, jobDescription, keyPoints } = req.body;
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const resume_parser_api = require('../data/resume_parser_api.json');
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const cover_letter_api = require('../data/cover_letter_api.json');
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// Replace placeholder in API call
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resume_parser_api.messages[0].content[0].text = resume_parser_api.messages[0].content[0].text.replace("{{resume}}", extractedResumeText);
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const resumeResponse = await anthropic.messages.create(resume_parser_api);
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const candidateProfile = resumeResponse.content[0].text.split('```json')[1].split('```')[0].trim();
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cover_letter_api.messages[0].content[0].text = cover_letter_api.messages[0].content[0].text
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.replace('{{resume_json}}', candidateProfile)
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.replace('{{job_description}}', jobDescription)
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.replace('{{key_points}}', keyPoints )
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.replace('{{date}}', new Date().toDateString());
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const coverLetterResponse = await anthropic.messages.create(cover_letter_api);
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const coverLetterRawText = coverLetterResponse.content[0].text.split('<cover_letter>')[1].split('</cover_letter>')[0].trim();
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res.json({ coverLetter: coverLetterRawText });
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} catch (error) {
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console.error(error);
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res.status(500).json({ error: 'Error generating cover letter' });
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}
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});
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router.post('/download', async (req, res) => {
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try {
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const { coverLetterText } = req.body;
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// Generate .docx file dynamically
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const docBuffer = await generateCoverLetter(coverLetterText);
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// Set response headers for file download
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res.setHeader('Content-Disposition', 'attachment; filename="cover_letter.docx"');
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res.setHeader('Content-Type', 'application/vnd.openxmlformats-officedocument.wordprocessingml.document');
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res.send(docBuffer);
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} catch (error) {
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console.error(error);
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res.status(500).json({ error: 'Error generating document' });
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}
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});
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function generateCoverLetter(rawText, outputFilename) {
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// Extract all sections in one go using an object
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const sections = ['header', 'greeting', 'introduction', 'body', 'conclusion', 'signature']
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.reduce((acc, section) => ({
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...acc,
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[section]: rawText.match(new RegExp(`<${section}>(.*?)<\/${section}>`, 's'))[1].trim()
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}), {});
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// Create document with all sections
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const doc = new Document({
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sections: [{
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properties: {},
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children: Object.values(sections).map(text =>
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new Paragraph({
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children: [
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new TextRun(text),
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new TextRun("\n\n")
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]
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})
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)
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}]
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});
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return Packer.toBuffer(doc);
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}
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module.exports = router; |