IPS (Image Processing Service)

A backend system for image upload + processing + JWT-based auth, built in Go.

---

🧩 Table of Contents

1. Project Overview

2. Features / Requirements

3. Architecture & Design

4. Getting Started

   • Prerequisites
   • Installation
   • Configuration
   • Running

5. API Endpoints

6. Image Transformations

7. Error Handling, Validation & Security

8. Possible Improvements / Future Work

9. Contributing

10. License

---

Project Overview

IPS is a backend service that allows users to:

• Register / login with JWT-based authentication
• Upload images
• Transform images (resize, crop, rotate, format change, etc.)
• Retrieve images / list uploads

It aims to be similar in spirit to services like Cloudinary: you give it an image + instructions, it gives you back processed results.

---

Features / Requirements

Based on the roadmap “Image Processing Service” idea, the intended features include:

User Authentication

• Sign-Up — register a new user with email & password
• Login — authenticate users
• JWT — protect endpoints using access & refresh tokens

Image Management

• Upload Image — via multipart form-data
• Retrieve Image — by image ID or path
• List Images — show user’s uploaded images + metadata

Image Transformations

Supported (or to be supported) operations:

• Resize
• Crop
• Rotate
• Change format (JPEG, PNG, WebP, etc.)
• Filters (grayscale, sepia, etc.)
• Watermark
• Compress / quality adjustment
• Flip / Mirror

---

Architecture & Design

Here’s how IPS is structured (folders / modules you’ll see in the repo):

• auth/ — authentication service (register, login, token management)
• middleware/ — HTTP middleware (e.g. for JWT validation)
• img/ — image handling logic (upload, transform, storage)
• urls/ — route definitions / routing setup
• utils/ — helper utilities (e.g. file handling, image utilities)
• static/original/ — directory to store original uploaded images
• test/ — tests
• cmd/IPS — main application entry point

Flow:

1. Client registers / logs in → receives JWT access + refresh tokens
2. For protected endpoints, client includes Authorization: Bearer <token>
3. Upload image → file is stored, metadata is recorded
4. Transformation request → service processes image as per instructions, returns a URL / image response
5. Retrieval / list endpoints let users fetch or see their images

You might use local storage (filesystem) now; in production, you can swap in cloud storage (S3, etc.). You may also use queues / background workers for heavy image ops in future.

---

Getting Started

Prerequisites

• Go 1.20+ (or your version)
• gd, jpeg, png libs (or whatever your image library needs)
• git
• (Optional) database (if you swap from in-memory / file-based to DB)

Installation

git clone https://github.com/CrimsonKarma44/IPS.git
cd IPS
go mod download

Configuration

You’ll likely have environment variables. For example:

JWT_SECRET_ACCESS=yourAccessSecret
JWT_SECRET_REFRESH=yourRefreshSecret
PORT=8080

If there’s a .env file or config example in the repo, copy it and adapt.

Running

go run cmd/IPS/main.go

Or build and run:

go build -o ips cmd/IPS/main.go
./ips

You should now have the service listening on http://localhost:8080 (or your configured port).

---

API Endpoints

Here’s a sample of endpoints and how to use them:

Authentication Endpoints

• POST /auth/register Request JSON:

  {
    "email": "user@example.com",
    "password": "yourPassword"
  }

  Response: success or error.

• POST /auth/login Request JSON:

  {
    "email": "user@example.com",
    "password": "yourPassword"
  }

  Response:

  {
    "access_token": "...",
    "status": 202,
    "response": {
      "user": {
        "id": ..., "email": "..."
      }
    }
  }

  Also sets a refresh_token cookie (HttpOnly).

Image Endpoints (example)

• POST /images Upload image (multipart form-data). Returns image metadata & URL.

• POST /images/:id/transform Apply transformations. Body example:

  {
    "transformations": {
      "resize": { "width": 200, "height": 200 },
      "rotate": 90,
      "format": "png"
    }
  }

  Returns transformed image info / URL.

• GET /images/:id Retrieve an image or metadata.

• GET /images?page=1&limit=10 List your images (paginated).

---

Image Transformations

Here’s a rough list of supported / planned transformations:

• resize(width, height)
• crop(width, height, x, y)
• rotate(degrees)
• format (change output format)
• filters (like grayscale, sepia)
• watermark (overlay text or image)
• flip, mirror
• compress / quality adjustment

You can combine transformations in a single request. E.g.:

{
  "transformations": {
    "resize": { "width": 300, "height": 200 },
    "format": "webp",
    "filters": { "grayscale": true }
  }
}

---

Error Handling, Validation & Security

• Validate all inputs (e.g. image file types / size limits)
• Return clear error messages (JSON format)
• Use JWTs for protected endpoints, refresh tokens via HttpOnly cookies
• Rate-limit transformations (to prevent abuse)
• Possibly cache transformed images so you don’t redo the same work
• Sanitize user inputs (avoid path traversal, etc.)

---

Possible Improvements / Future Work

Here are some ideas to expand:

• Use cloud storage (AWS S3, Google Cloud Storage, etc.) instead of local disk
• Process image transformations asynchronously (via message queue)
• Cache transformed images, use CDN
• Add more filters / effects (blur, sharpen, color adjustments)
• Add versioning of images
• Implement access control (public / private images)
• Logging, metrics, monitoring (Prometheus, etc.)
• SDKs / client libraries for ease of use
• UI / frontend dashboard

---

Contributing

I’d love for you to help improve IPS! Here’s how:

1. Fork the repo
2. Create a feature branch (git checkout -b feature/my-feature)
3. Write your feature / fix + tests
4. Submit a Pull Request
5. I’ll review and merge (with discussion)

Please follow existing code style and include tests where possible.

---

License

This project is licensed under the MIT License — see the LICENSE file for details. (GitHub)

---

If you like, I can generate a .md-file version you can paste directly into your repo, or even generate badges (build, coverage, etc.) for your README. Do you want me to send you that?

roadmap-Link