Files
reactShop/generate-category-descriptions.js
sebseb7 5b12dad435 u
2025-11-17 07:21:23 +01:00

248 lines
7.7 KiB
JavaScript

#!/usr/bin/env node
import fs from 'fs';
import path from 'path';
import OpenAI from 'openai';
// Configuration
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const DIST_DIR = './dist';
const OUTPUT_CSV = './category-descriptions.csv';
// Model configuration
const MODEL = 'gpt-5.1';
// Initialize OpenAI client
const openai = new OpenAI({
apiKey: OPENAI_API_KEY,
});
// System prompt for generating SEO descriptions
const SEO_DESCRIPTION_PROMPT = `You are given a list of products from a specific category. Create a SEO-friendly description for that category that would be suitable for a product catalog page.
Requirements:
- Write in German
- Make it SEO-optimized with relevant keywords
The product list format is:
First line: categoryName,categoryId
Subsequent lines: articleNumber,price,productName,shortDescription
Generate a compelling category description based on this product data.`;
// Function to find all *-list.txt files in dist directory
function findListFiles() {
try {
const files = fs.readdirSync(DIST_DIR);
return files.filter(file => file.endsWith('-list.txt'));
} catch (error) {
console.error('Error reading dist directory:', error.message);
return [];
}
}
// Function to read a list file and extract category info
function readListFile(filePath) {
try {
const content = fs.readFileSync(filePath, 'utf8');
const lines = content.trim().split('\n');
if (lines.length < 1) {
throw new Error('File is empty');
}
// Parse first line: categoryName,categoryId
const firstLine = lines[0];
const [categoryName, categoryId] = firstLine.split(',');
if (!categoryName || !categoryId) {
throw new Error('Invalid first line format');
}
return {
categoryName: categoryName.replace(/^"|"$/g, ''), // Remove quotes if present
categoryId: categoryId.replace(/^"|"$/g, ''),
content: content
};
} catch (error) {
console.error(`Error reading ${filePath}:`, error.message);
return null;
}
}
// Function to generate SEO description using OpenAI
async function generateSEODescription(productListContent, categoryName, categoryId) {
try {
console.log(`🔄 Generating SEO description for category: ${categoryName} (ID: ${categoryId})`);
const response = await openai.responses.create({
model: "gpt-5.1",
input: [
{
"role": "developer",
"content": [
{
"type": "input_text",
"text": SEO_DESCRIPTION_PROMPT
}
]
},
{
"role": "user",
"content": [
{
"type": "input_text",
"text": productListContent
}
]
}
],
text: {
"format": {
"type": "json_schema",
"name": "descriptions",
"strict": true,
"schema": {
"type": "object",
"properties": {
"seo_description": {
"type": "string",
"description": "A concise description intended for SEO purposes. 155 characters"
},
"long_description": {
"type": "string",
"description": "A comprehensive description, 2-5 Sentences"
}
},
"required": [
"seo_description",
"long_description"
],
"additionalProperties": false
}
},
"verbosity": "medium"
},
reasoning: {
"effort": "none",
"summary": "auto"
},
tools: [],
store: false,
include: [
"reasoning.encrypted_content",
"web_search_call.action.sources"
]
});
const description = response.output_text;
console.log(`✅ Generated description for ${categoryName}`);
return description;
} catch (error) {
console.error(`❌ Error generating description for ${categoryName}:`, error.message);
return `Error generating description: ${error.message}`;
}
}
// Function to write CSV file
function writeCSV(results) {
try {
const csvHeader = 'categoryId,listFileName,seoDescription\n';
const csvRows = results.map(result =>
`"${result.categoryId}","${result.listFileName}","${result.description.replace(/"/g, '""')}"`
).join('\n');
const csvContent = csvHeader + csvRows;
fs.writeFileSync(OUTPUT_CSV, csvContent, 'utf8');
console.log(`✅ CSV file written: ${OUTPUT_CSV}`);
console.log(`📊 Processed ${results.length} categories`);
} catch (error) {
console.error('Error writing CSV file:', error.message);
}
}
// Main execution function
async function main() {
console.log('🚀 Starting category description generation...');
// Check if OpenAI API key is set
if (!OPENAI_API_KEY) {
console.error('❌ OPENAI_API_KEY environment variable is not set');
console.log('Please set your OpenAI API key: export OPENAI_API_KEY="your-api-key-here"');
process.exit(1);
}
// Check if dist directory exists
if (!fs.existsSync(DIST_DIR)) {
console.error(`❌ Dist directory not found: ${DIST_DIR}`);
process.exit(1);
}
// Find all list files
const listFiles = findListFiles();
if (listFiles.length === 0) {
console.log('⚠️ No *-list.txt files found in dist directory');
console.log('💡 Make sure to run the prerender script first to generate the list files');
process.exit(1);
}
console.log(`📂 Found ${listFiles.length} list files to process`);
const results = [];
// Process each list file
for (const listFile of listFiles) {
const filePath = path.join(DIST_DIR, listFile);
// Read and parse the file
const fileData = readListFile(filePath);
if (!fileData) {
console.log(`⚠️ Skipping ${listFile} due to read error`);
continue;
}
// Generate SEO description
const description = await generateSEODescription(
fileData.content,
fileData.categoryName,
fileData.categoryId
);
// Store result
results.push({
categoryId: fileData.categoryId,
listFileName: listFile,
description: description
});
// Add delay to avoid rate limiting
await new Promise(resolve => setTimeout(resolve, 1000));
}
// Write CSV output
if (results.length > 0) {
writeCSV(results);
console.log('🎉 Category description generation completed successfully!');
} else {
console.error('❌ No results to write - all files failed processing');
process.exit(1);
}
}
// Run the script
if (import.meta.url === `file://${process.argv[1]}`) {
main().catch(error => {
console.error('❌ Script failed:', error.message);
process.exit(1);
});
}
export {
findListFiles,
readListFile,
generateSEODescription,
writeCSV
};