Portfolio/scripts/optimize-images.js

import sharp from 'sharp';
import { readdir, mkdir } from 'fs/promises';
import { join, dirname, basename, extname } from 'path';
import { fileURLToPath } from 'url';
import { existsSync } from 'fs';

const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);

const SIZES = [400, 800, 1200];
const INPUT_DIR = join(__dirname, '../source-images/projects');
const OUTPUT_DIR = join(__dirname, '../public/images/projects');

async function processImage(inputPath, projectSlug) {
  const filename = basename(inputPath, extname(inputPath));
  const ext = extname(inputPath).toLowerCase();

  // Skip non-image files
  if (!['.jpg', '.jpeg', '.png', '.webp'].includes(ext)) {
    return;
  }

  const outputDir = join(OUTPUT_DIR, projectSlug);

  // Create output directory if it doesn't exist
  await mkdir(outputDir, { recursive: true });

  console.log(`Processing: ${projectSlug}/${filename}${ext}`);

  // Create optimized original size (cover.jpg)
  const originalOutputPath = join(outputDir, `${filename}.jpg`);
  try {
    await sharp(inputPath)
      .jpeg({ quality: 85, progressive: true })
      .toFile(originalOutputPath);
    console.log(`  Created: ${filename}.jpg (optimized original)`);
  } catch (error) {
    console.error(`  Error creating optimized original:`, error.message);
  }

  // Create different sizes
  for (const width of SIZES) {
    const outputFilename = `${filename}-${width}w.jpg`;
    const outputPath = join(outputDir, outputFilename);

    try {
      await sharp(inputPath)
        .resize(width, null, {
          withoutEnlargement: true,
          fit: 'inside'
        })
        .jpeg({ quality: 80, progressive: true })
        .toFile(outputPath);

      console.log(`  Created: ${outputFilename}`);
    } catch (error) {
      console.error(`  Error creating ${outputFilename}:`, error.message);
    }
  }

  // Create WebP version of original size
  const webpFilename = `${filename}.webp`;
  const webpPath = join(outputDir, webpFilename);

  try {
    await sharp(inputPath)
      .webp({ quality: 80 })
      .toFile(webpPath);

    console.log(`  Created: ${webpFilename}`);
  } catch (error) {
    console.error(`  Error creating WebP:`, error.message);
  }
}

async function processDirectory(dirPath) {
  if (!existsSync(dirPath)) {
    console.error(`Error: Source directory not found: ${dirPath}`);
    console.log('\nPlease ensure original images are placed in:');
    console.log('  source-images/projects/<project-slug>/cover.jpg');
    process.exit(1);
  }

  const entries = await readdir(dirPath, { withFileTypes: true });

  for (const entry of entries) {
    const fullPath = join(dirPath, entry.name);

    if (entry.isDirectory()) {
      // Check for cover.jpg in this project directory
      const coverPath = join(fullPath, 'cover.jpg');
      if (existsSync(coverPath)) {
        await processImage(coverPath, entry.name);
      } else {
        console.log(`Skipping ${entry.name}: no cover.jpg found`);
      }
    }
  }
}

async function main() {
  console.log('Starting image optimization...');
  console.log(`Source: ${INPUT_DIR}`);
  console.log(`Output: ${OUTPUT_DIR}\n`);

  try {
    await processDirectory(INPUT_DIR);
    console.log('\nImage optimization complete!');
  } catch (error) {
    console.error('Error during optimization:', error);
    process.exit(1);
  }
}

main();