CLProject/public/js/images.js

/*
 * Image optimization module (P1). When OffscreenCanvas is available the heavy
 * pixel work runs in a dedicated Web Worker so the UI thread stays responsive
 * during large-image processing. On browsers that lack OffscreenCanvas support
 * (or when running inside a Worker is not possible) the module falls back to
 * main-thread canvas operations.
 *
 * EXIF preservation: Canvas operations strip all metadata. After resize/compress
 * we re-inject the original EXIF APP1 segment into the output JPEG so that
 * camera info, GPS, date-taken etc. survive the optimization.
 */

import { extractExifSegment, insertExifIntoJpeg } from './exif.js';

let worker = null;
let workerSupported = null;

function isWorkerSupported() {
  if (workerSupported !== null) {
    return workerSupported;
  }

  try {
    /* OffscreenCanvas is required inside the Worker to draw without a DOM. */
    workerSupported = typeof OffscreenCanvas !== 'undefined' && typeof Worker !== 'undefined';
  } catch {
    workerSupported = false;
  }

  return workerSupported;
}

function getWorker() {
  if (!worker && isWorkerSupported()) {
    worker = new Worker('/js/image-worker.js');
  }

  return worker;
}

/*
 * Public entry point. Validates the file against the image rules, then delegates
 * the actual resize/compress work to the worker or the main-thread fallback.
 * After optimization, EXIF metadata from the original file is re-injected into
 * the output JPEG so that camera/GPS/date info is preserved.
 */
export async function optimizeImage(file, imageRules) {
  if (imageRules?.allowedMimeTypes?.length && !imageRules.allowedMimeTypes.includes(file.type)) {
    throw new Error(`Unsupported file type: ${file.type}`);
  }

  if (imageRules?.oversizeBehavior === 'block' && file.size > imageRules.maxFileSizeBytes) {
    throw new Error(`File exceeds limit: ${file.name}`);
  }

  /* Extract raw EXIF segment from original JPEG before canvas strips it */
  let exifSegment = null;
  if (file.type === 'image/jpeg') {
    try {
      const originalBuffer = await file.arrayBuffer();
      exifSegment = extractExifSegment(originalBuffer);
    } catch { /* non-critical — proceed without EXIF */ }
  }

  const w = getWorker();
  const result = w
    ? await optimizeInWorker(w, file, imageRules)
    : await optimizeOnMainThread(file, imageRules);

  /* Re-inject EXIF into the optimized JPEG */
  if (exifSegment && result.blob.type === 'image/jpeg') {
    result.blob = await insertExifIntoJpeg(result.blob, exifSegment);
  }

  return result;
}

/* ── Worker path ────────────────────────────────────────────────────────── */

function optimizeInWorker(w, file, imageRules) {
  return new Promise((resolve, reject) => {
    const messageId = crypto.randomUUID();

    function handler(event) {
      if (event.data?.id !== messageId) {
        return;
      }

      w.removeEventListener('message', handler);
      w.removeEventListener('error', errorHandler);

      if (event.data.error) {
        reject(new Error(event.data.error));
      } else {
        resolve(event.data.result);
      }
    }

    function errorHandler(event) {
      w.removeEventListener('message', handler);
      w.removeEventListener('error', errorHandler);
      reject(new Error(event.message || 'Worker error'));
    }

    w.addEventListener('message', handler);
    w.addEventListener('error', errorHandler);
    w.postMessage({ id: messageId, file, imageRules });
  });
}

/* ── Main-thread fallback ───────────────────────────────────────────────── */

async function optimizeOnMainThread(file, imageRules) {
  const imageBitmap = await createImageBitmap(file);
  const maxWidth = imageRules?.maxWidthPx || imageBitmap.width;
  const maxHeight = imageRules?.maxHeightPx || imageBitmap.height;
  const { width, height } = fitIntoBox(imageBitmap.width, imageBitmap.height, maxWidth, maxHeight);
  const canvas = document.createElement('canvas');
  canvas.width = width;
  canvas.height = height;

  const context = canvas.getContext('2d');
  context.drawImage(imageBitmap, 0, 0, width, height);

  const targetMimeType = file.type === 'image/png' ? 'image/png' : 'image/jpeg';
  const quality = Math.min(Math.max((imageRules?.jpegQuality || 82) / 100, 0.2), 0.95);

  const blob = await new Promise((resolve) => {
    canvas.toBlob(resolve, targetMimeType, quality);
  });

  if (!blob) {
    throw new Error(`Failed to optimize image: ${file.name}`);
  }

  if (imageRules?.maxFileSizeBytes && blob.size > imageRules.maxFileSizeBytes) {
    throw new Error(`Optimized image still exceeds limit: ${file.name}`);
  }

  return {
    blob,
    width,
    height,
    extension: targetMimeType === 'image/png' ? 'png' : 'jpg'
  };
}

export function fitIntoBox(originalWidth, originalHeight, maxWidth, maxHeight) {
  const ratio = Math.min(maxWidth / originalWidth, maxHeight / originalHeight, 1);

  return {
    width: Math.round(originalWidth * ratio),
    height: Math.round(originalHeight * ratio)
  };
}