tschellenbach/Stream-Framework
Stream Framework
Stream-Framework ist eine Python-Bibliothek zum Erstellen skalierbarer Activity-Streams, News-Feeds und Benachrichtigungssysteme. Sie fungiert als Activity-Stream-Engine, die die Verteilung, Speicherung und den Abruf chronologischer Event-Streams für große Nutzerbasen verwaltet.
Das Framework nutzt eine Kombination aus Cassandra und Redis, um eine skalierbare Feed-Architektur bereitzustellen, wobei In-Memory-Caching für latenzarmen Abruf und verteilte Speicherung für hohe Verfügbarkeit eingesetzt werden. Es verfügt über einen asynchronen Fan-out-Mechanismus zur Verteilung von Aktivitäten an mehrere Follower-Feeds sowie eine Echtzeit-Synchronisierungsschicht, die Updates über WebSocket-Verbindungen an Clients sendet.
Das System enthält Tools für personalisierte Content-Orchestrierung, die das Ranking und Filtern von Feeds basierend auf Nutzerinteressen und Popularität ermöglichen. Es bietet zudem ein Social-Engagement-Toolkit zur Implementierung von Threaded-Comments, Reaktionen, Bookmarks und Voting, neben KI-gestützter Content-Moderation zur Erkennung und Markierung schädlicher Medien in Echtzeit.
Zusätzliche Funktionen decken die Integration von Echtzeitkommunikation für Sprache und Video, die Zustellung von Push-Benachrichtigungen sowie eine Activity-Query-Engine für präzise Content-Discovery ab.
Features
- Activity Feed Engines - Functions as an activity stream engine managing the distribution and retrieval of chronological event feeds.
- Activity Stream Engines - Provides the core engine for constructing and managing scalable social activity streams using Cassandra and Redis.
- Community Engagement Tools - Offers a set of tools for implementing social interactions like threaded comments, voting, and reactions.
- Personalized Feed Orchestrators - Includes a personalized feed orchestrator to rank content based on popularity and user interests.
- Social Interactions - Provides a social interaction framework for reactions, threaded comments, bookmarks, and polls.
- Personalized Feed Retrievers - Provides low-latency retrieval of recent activities to render personalized newsfeeds for specific users.
- Feed Storage Frameworks - Implements a specialized framework using Cassandra and Redis to build scalable news feeds and notification systems.
- Redis Caching Layers - Uses Redis caching layers to provide low-latency retrieval of recent activities for active users.
- Wide-Column Stores - Utilizes Cassandra wide-column stores for scalable and high-availability storage of activity data.
- Real-Time Data Synchronization - Implements real-time synchronization of feed views via WebSocket connections to eliminate manual page refreshing.
- Real-time Notification Broadcasters - Provides a synchronization layer that pushes real-time activity updates and alerts to clients via WebSockets.
- Fan-Out Patterns - Implements asynchronous fan-out patterns to distribute a single activity to multiple follower feeds.
- WebSocket Synchronization - Uses WebSocket connections to maintain real-time synchronization between the client interface and activity feeds.
- Social Feed Architectures - Provides a scalable social feed architecture capable of handling high volumes of activity across distributed environments.
- Real-time Sync Engines - Ships a real-time synchronization engine using WebSockets to push activity updates to clients.
- Modular AI Pipelines - Employs modular AI pipelines to process voice and vision data through pluggable classifiers.
- Feed Content Filtering - Provides tools for filtering and removing specific activities from feeds based on defined criteria.
- Content Discovery Systems - Curates custom discovery feeds based on user interests, popularity, and location to surface relevant content.
- Custom Content Type Definitions - Allows the definition of custom content types to represent posts, photos, videos, or polls in feeds.
- Cloud Push Notification Deliveries - Triggers cloud-based push notifications to user devices when new activities or social interactions occur.
- Scalable Push Notification Platforms - Provides a horizontally scalable platform for broadcasting activity alerts and notifications to large user bases.
- Request Token Validators - Implements request token validators to manage permissions for viewing and interacting with private streams.
- Access Tokens - Generates secure server-side access tokens to authorize client access to activity streams.
- Content Moderation - Uses AI to automatically detect and flag harmful text, image, video, and audio content in real time.
- Content Moderation Policies - Allows the definition of rules to determine how content is filtered or flagged across communication channels.
- Activity Feed Querying - Provides a dedicated query engine for precise content discovery and retrieval of specific activities or feeds.
- Rule-Based Filters - Applies rule-based filters to curate personalized content or exclude specific items from user feeds.
- Collaborative Commenting Systems - Implements collaborative commenting systems with support for threading, voting, and mentions.
- In-App Messaging Components - Provides tools and pre-built components for creating real-time in-app messaging experiences with custom layouts.
- Activity Streams - System for building notification and activity feeds.
