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WebSocket Upload Progress Guide

This guide explains how to use the new WebSocket-based upload flow for Google Drive uploads in Verispotter, powered by Watermill with PGX for reliable job processing.

Overview

Google Drive uploads are now processed asynchronously using Watermill with PGX to avoid nginx timeouts and provide better reliability. When you submit a Google Drive URL, the server immediately returns a success response and queues the upload job in a PostgreSQL table using the existing PGX connection pool. Background workers process these jobs while sending real-time progress updates via WebSocket.

Key Benefits

Yes, it is possible for memory leaks to occur during the process of uploading images to S3 (or any cloud storage service like MinIO). Memory leaks can happen due to improper handling of resources such as file handles, network connections, or buffers. If these resources are not properly released after use, they can accumulate over time and lead to increased memory usage, eventually causing performance degradation or crashes.

Here are some common scenarios where memory leaks can occur during image uploads to S3 and how to mitigate them:

1. Improper Handling of File Objects

Problem: When uploading files to S3, you often open file objects (e.g., using open() in Python) to read the file contents. If you don't close these file objects properly after the upload, they can remain in memory, leading to a memory leak.
Solution: Always ensure that file objects are properly closed after use. You can use Python's with statement, which automatically handles closing the file object once t

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	1. EXPLORATION OVER CONCLUSION
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	# WebSocket Upload Progress Guide

	This guide explains how to use the new WebSocket-based upload flow for Google Drive uploads in Verispotter, powered by Watermill with PGX for reliable job processing.

	## Overview

	Google Drive uploads are now processed asynchronously using Watermill with PGX to avoid nginx timeouts and provide better reliability. When you submit a Google Drive URL, the server immediately returns a success response and queues the upload job in a PostgreSQL table using the existing PGX connection pool. Background workers process these jobs while sending real-time progress updates via WebSocket.

	### Key Benefits

	{
	"basics": {
	"name": "Ahmad Saugi",
	"label": "Software Engineer",
	"image": "",
	"email": "[email protected]",
	"url": "https://saugi.me",
	"summary": "My name is Ahmad Saugi, a bachelor of computer science student. My passion for software lies with dreaming up ideas and making them come true with elegant interfaces. I take great care in experience, architecture, and code quality of the things I build.\n\nI am also an open-source enthusiast and maintainer. I love how collaboration and knowledge sharing happens through open-source and I am happy to see what I do could eventually feedback to the community and industry.\n\nOutside of programming, I enjoy reading books. I love the pleasure and excitement of gaining new knowledge other than programming from the books I read.",
	"location": {
	"countryCode": "ID",