Backend Twitter Clone

Table of Contents

• Description
• Features
• Prerequisites
• Getting Started
• Installation with Docker
• Installation without Docker

Description

This project is a backend implementation of a Twitter clone using Django, Django REST framework, Django Channels, PostgreSQL, Redis, and Cloudinary. This project includes a wide range of features, including authentication, tweet management, likes, retweets, notifications, real-time chat, and more. This repository contains the backend code. The frontend, built with React, Redux, and other technologies, can be found clone-twitter-frontend.

Features

• Authentication: Signup, email activation, login, password reset request, password reset, password change, JWT token refresh, JWT token verification, and logout.
• Social Auth: Login with Google.
• Tweets: Create, read, update, and delete tweets.
• Likes: Manage likes on tweets.
• Bookmark: Manage bookmarked tweets.
• Retweets: Manage retweets.
• Retweet Likes: Manage likes on retweets.
• User Management: Get and update user information, manage following and followers.
• Notifications: Real-time notification system.
• Real-Time Chat: Real-time chat feature.

Prerequisites

• Python 3.12+
• Git
• Docker
• PostgreSQL
• Redis
• Cloudinary

Getting Started

Common Setup

1. Clone the repository:

git clone https://github.com/Macktireh/clone-twitter-backend.git

cd clone-twitter-backend

2. Configure environment variables: Create a .env file based on the .env.example file and set your environment variables.

Installation with Docker

Build and start the Docker containers:

docker-compose up --build

Installation without Docker

1. Create and activate a virtual environment:

python -m venv venv

source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

5. Apply database migrations:

python manage.py migrate

6. Start the development server:

python manage.py runserver

Your Twitter clone backend should now be up and running. 🎉 The application will be accessible at http://localhost:8000.

License

This project is licensed under the MIT License.