taiko-web-bang/.trae/documents/Optimize Loading with Multi-Process Workers.md

I will optimize the loading process by implementing a Multi-Threaded Worker Loader. This involves creating a pool of Web Workers to fetch assets (JavaScript, Audio, Images, Views) in parallel, offloading the network initiation and handling from the main thread.

Plan:

1. Create public/src/js/loader-worker.js:

   • This worker will handle fetch requests for different resource types (text, blob, arraybuffer).
   • It will transfer the data back to the main thread (using zero-copy transfer for ArrayBuffer).

2. Modify public/src/js/loader.js:

   • Initialize Worker Pool: Create a pool of workers (defaulting to 4) in the Loader class.
   • Implement workerFetch(url, type): A method to distribute fetch tasks to the worker pool.
   • Override ajax(url, ...): Intercept requests for static assets (src/, assets/, etc.) and route them through workerFetch. Keep API calls (api/) on the main thread to ensure session stability.
   • Update loadScript(url): Change it to fetch the script content via workerFetch and inject it using a <script> tag with inline content. This ensures JS files are also loaded via the "multi-process" mechanism.
   • Update loadSound and RemoteFile logic: Since RemoteFile uses loader.ajax, routing ajax to workers will automatically parallelize audio loading.

Technical Details:

• Concurrency: 4 Workers will be used to maximize throughput without overloading the browser's connection limit per domain.
• Resource Types:
  • JS/Views: Fetched as text.
  • Images: Fetched as blob -> URL.createObjectURL.
  • Audio: Fetched as arraybuffer -> AudioContext.decodeAudioData.