kyle.belanger/ai_cover_letter_generator
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ai_cover_letter_generator/main.js

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const promises = require('fs/promises');
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const pdf = require('pdf-parse');
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const Anthropic = require('@anthropic-ai/sdk');
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const { Document, Packer, Paragraph, TextRun } = require('docx');
const fs = require('fs');
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require('dotenv').config();
const today = new Date();
let jobDescription = '';
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let coverLetterRawText = '';
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const anthropic = new Anthropic({
apiKey: process.env.ANTHROPIC_API_KEY
})
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// 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 {
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const data = await promises.readFile(pdfPath); // Use promises with fs
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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);
}
}
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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);
}
}
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function generateCoverLetter(rawText, outputFilename) {
// Parse the raw markup
const header = rawText.match(/<header>(.*?)<\/header>/s)[1].trim();
const greeting = rawText.match(/<greeting>(.*?)<\/greeting>/s)[1].trim();
const introduction = rawText.match(/<introduction>(.*?)<\/introduction>/s)[1].trim();
const body = rawText.match(/<body>(.*?)<\/body>/s)[1].trim();
const conclusion = rawText.match(/<conclusion>(.*?)<\/conclusion>/s)[1].trim();
const signature = rawText.match(/<signature>(.*?)<\/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);
});
}
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async function main() {
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try {
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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);
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coverLetterRawText = cover_letter_response.content[0].text.split('<cover_letter>')[1].split('</cover_letter>')[0].trim()
// console.log(coverLetterRawText)
generateCoverLetter(coverLetterRawText, 'test.docx')
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} catch (error) {
console.error(error.message); // Catches and logs any errors that occurred
}
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}
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readJobDescription('./data/job_description.txt')
// Call the main function
main();
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