Cloud Storage Application

Overview

This application serves as a cloud storage solution developed for educational purposes. The primary objective of this project is to explore and master new technologies before integrating them into our main project.

Features

• File Upload with Delayed Deletion: Users can upload files and specify a deletion time in minutes. The deletion is managed through a queue of delayed tasks using Celery.
• File Download: Users can easily download their uploaded files.
• File Deletion: Users have the option to delete files manually.
• Unique Access via IDs: Each file is associated with a unique ID assigned to the file, ensuring secure and individual access.
• Task Management with Celery: Background tasks for file deletion and The periodic execution of tasks to monitor the number of files are handled by Celery workers.
• Redis for Task Storage: Tasks are stored in Redis for convenience and efficiency, with Redis deployed using Docker Compose.
• FastAPI Backend: The backend is developed using FastAPI.

Technologies Used

• Backend: FastAPI
• Database: Redis (for task management)
• Task Queue: Celery
• Containerization: Docker Compose

Installation

Follow these steps to install and run the Cloud Storage application on your local machine.

Prerequisites

Make sure you have the following tools installed:

• Python 3.12.3
• Docker
• Docker Compose

Installation Steps

1. Clone the repository:

   git clone https://github.com/samypushisty/CloudStorage.git
   cd CloudStorage

2. Installing dependencies

    pip install -r requirements.txt

3. Create redis container

    docker-compose up -d

4. Start celery app

   The separate execution of all tasks in different processes.

     celery -A celery_app.app worker --loglevel=INFO  -P solo
     celery -A celery_app.app beat --loglevel=INFO
     celery -A celery_app.app flower
   

5. Start main app

   start main.py