Django REST Framework with Celery for Background Processing

This project is a Django-based API designed to process requests asynchronously using Celery and Redis. It provides immediate responses to API requests while handling long-running tasks in the background.

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Prerequisites

Base OS

• Any (Linux is recommended for production)
• Python 3.11+
• Redis (for task queue management)

Steps to run the project

1. Clone the Repository

2. Set Up a Virtual Environment

• python3 -m venv venv (Creating the Virtual Enviroment)
• source venv/bin/activate On Windows: venv\Scripts\activate (To activate the Virtual Enviroment)

3. Install Python Dependencies

• pip install -r requirements.txt

4. Install and start Redis

On Ubuntu

• sudo apt update
• sudo apt install redis
• sudo systemctl start redis
• sudo systemctl enable redis
• (redis should run before django server and celery and it should run on port 6379 for example:) docker run -d -p 6379:6379 redis (locally, we use "redis-server" on separated terminal and it automatically runs on port 6379)

5. Start the Django Development Server

• python manage.py runserver 80 (80 is the port Number)

6. Start the Celery worker

• celery -A LittleBirdie worker --loglevel=info