const promises = require('fs/promises'); const pdf = require('pdf-parse'); const Anthropic = require('@anthropic-ai/sdk'); const { Document, Packer, Paragraph, TextRun } = require('docx'); const fs = require('fs'); require('dotenv').config(); const today = new Date(); let jobDescription = ''; let coverLetterRawText = ''; const anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }) // Path to the PDF file you want to extract text from const pdfPath = 'data/kyle_resume.pdf'; // Function to extract text from the PDF and return it as a string async function extractTextFromPDF(pdfPath) { try { const data = await promises.readFile(pdfPath); // Use promises with fs const pdfData = await pdf(data); // Parse the PDF return pdfData.text; // Return the extracted text } catch (error) { throw new Error('Error extracting text from PDF: ' + error.message); } } async function readJobDescription(filePath) { try { const data = await promises.readFile(filePath, 'utf8'); jobDescription = data; // Save content to the global variable } catch (err) { console.error('Error reading the file:', err); } } function generateCoverLetter(rawText, outputFilename) { // Parse the raw markup const header = rawText.match(/

(.*?)<\/header>/s)[1].trim(); const greeting = rawText.match(/(.*?)<\/greeting>/s)[1].trim(); const introduction = rawText.match(/(.*?)<\/introduction>/s)[1].trim(); const body = rawText.match(/(.*?)<\/body>/s)[1].trim(); const conclusion = rawText.match(/(.*?)<\/conclusion>/s)[1].trim(); const signature = rawText.match(/(.*?)<\/signature>/s)[1].trim(); // Create a new document using docx const doc = new Document({ sections: [ { properties: {}, children: [ new Paragraph({ children: [ new TextRun(header), new TextRun("\n\n"), // Add line breaks between sections ], }), new Paragraph({ children: [ new TextRun(greeting), new TextRun("\n\n"), ], }), new Paragraph({ children: [ new TextRun(introduction), new TextRun("\n\n"), ], }), new Paragraph({ children: [ new TextRun(body), new TextRun("\n\n"), ], }), new Paragraph({ children: [ new TextRun(conclusion), new TextRun("\n\n"), ], }), new Paragraph({ children: [ new TextRun(signature), new TextRun("\n\n"), ], }), ], }, ], }); // Create a packer to generate the .docx file Packer.toBuffer(doc).then((buffer) => { // Save the document as a .docx file fs.writeFileSync(outputFilename, buffer); console.log(`${outputFilename} created successfully!`); }).catch(error => { console.error("Error generating the document:", error); }); } async function main() { try { const resume_parser_api = require('./data/resume_parser_api.json'); const cover_letter_api = require('./data/cover_letter_api.json'); const extractedResumeText = await extractTextFromPDF(pdfPath); // Waits for PDF extraction to complete // used to replace the variables in the resume parser api resume_parser_api.messages[0].content[0].text = resume_parser_api.messages[0].content[0].text.replace("{{resume}}", extractedResumeText) const resume_response = await anthropic.messages.create(resume_parser_api); const candidateProfile = resume_response.content[0].text.split('```json')[1].split('```')[0].trim(); // pulls just the json structure out of LLM response // replace variables in cover_letter_api 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}}', today); const cover_letter_response = await anthropic.messages.create(cover_letter_api); coverLetterRawText = cover_letter_response.content[0].text.split('')[1].split('')[0].trim() // console.log(coverLetterRawText) generateCoverLetter(coverLetterRawText, 'test.docx') } catch (error) { console.error(error.message); // Catches and logs any errors that occurred } } readJobDescription('./data/job_description.txt') // Call the main function main();