import sharp from 'sharp';
import fs from 'fs';
import path from 'path';

const logoUrl = 'https://hebbkx1anhila5yf.public.blob.vercel-storage.com/Preto_semfundo-QjUexykfB10GjO803zcUlswqR19RBV.png';

const res = await fetch(logoUrl);
const arrayBuffer = await res.arrayBuffer();
const inputBuffer = Buffer.from(arrayBuffer);

// Trim whitespace/transparency, then resize smaller & compress as JPEG for smaller size
const trimmed = await sharp(inputBuffer)
  .trim()              // remove transparent/white borders
  .resize({ width: 400, fit: 'inside' })  // resize to max 400px wide
  .png({ quality: 60, compressionLevel: 9 })
  .toBuffer();

const base64 = trimmed.toString('base64');
const dataUrl = `data:image/png;base64,${base64}`;

console.log(`Original size: ${inputBuffer.length} bytes`);
console.log(`Cropped+compressed size: ${trimmed.length} bytes`);
console.log(`Base64 length: ${base64.length} chars`);

// Output full data URL so we can embed it
console.log('DATA_URL_START');
console.log(dataUrl);
console.log('DATA_URL_END');