witter

A Django-powered social platform with robust user authentication, efficient database management, and scalable architecture. Features include user profiles, post sharing, real-time updates, geolocation, and file handling. Utilizes Django's ORM, RESTful APIs, and template system. Implements best security practices and offers a customizable UI.

MIT License

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Witter: Twitter-Like Social Media Microblogging Platform

Witter is a robust Python-based social media microblogging platform designed for efficient handling of user posts, follower relationships, and related operations, all through a web interface. For a detailed description and overview of WalletOne's main functionalities, see this blog post: Introducing Witter: A Dynamic Social Media Platform with Python Backend.

Key Features

  • Create and delete posts with unique post IDs
  • Manage user profiles and follower relationships
  • Search functionality by hashtags and user handles
  • Display user timelines and trending topics
  • Efficient post retrieval using database indexing
  • Real-time updates with WebSocket technology

Technical Highlights

  • Efficient Post Retrieval: Utilizes database indexing for fast post lookups
  • Scalable User Management: Implements follower relationships using a many-to-many data model
  • Real-time Updates: Uses WebSocket technology for instant post delivery
  • Django-based Backend: Leverages Django's ORM for database operations and user authentication
  • RESTful API: Provides a comprehensive API for third-party integrations

Class Structure

  • Post: Represents a user's post with content and metadata
  • User: Represents a Witter user with profile information
  • Timeline: Manages the collection and display of posts for a user
  • Hashtag: Represents trending topics and searchable terms

Key Methods

  • create_post: Creates a new post in the system
  • delete_post: Removes a post and updates all related data
  • follow_user: Establishes a follower relationship between users
  • search_hashtag: Retrieves posts containing a specific hashtag
  • get_user_timeline: Fetches and displays a user's timeline

Performance Considerations

  • Post retrieval: Optimized through database indexing
  • User timeline generation: Efficient querying of followed users' posts
  • Hashtag searching: Utilizes full-text search capabilities of the database
  • Real-time updates: Implemented using WebSocket connections for minimal latency

Future Enhancements

  • Implement media uploads (images, videos)
  • Add direct messaging functionality
  • Develop mobile applications (iOS and Android)
  • Implement advanced analytics for trending topics and user engagement

Contributing

Contributions are welcome! Please feel free to submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.