Python Telegram Bot

This project is an asynchronous messaging framework designed for building interactive applications on the Telegram platform. It functions as a comprehensive wrapper that maps native platform methods and update types into structured objects, enabling developers to create event-driven services that respond to real-time user input. By integrating with standard event loops, the library facilitates high-throughput communication and non-blocking message processing.

The framework distinguishes itself through a sophisticated update-driven dispatcher pattern that routes incoming messages to specific handler functions based on defined criteria. It supports complex interaction orchestration, allowing for the management of multi-step user flows and conversation history through context-aware state management. Developers can utilize middleware-based pipelines to pre-process or filter incoming data, while built-in support for both polling and webhook hybridization ensures flexibility across diverse network deployment environments.

Beyond its core dispatching capabilities, the framework provides tools for concurrent task scheduling and parallel update processing to maintain responsiveness under load. It includes features for bot data persistence, request rate limiting, and advanced callback data caching to handle complex button interactions. The architecture also offers extensibility through custom networking backends, manual webhook receiver implementations, and support for experimental API parameters, ensuring compatibility with evolving platform features.

Features

Asynchronous Bot Frameworks - Builds interactive messaging applications that handle high volumes of concurrent user requests.

Asynchronous Messaging Frameworks - Manages real-time communication between external services and messaging platforms using non-blocking event loops.

Session State Management - Tracks user interaction flows and conversation history across multiple asynchronous requests to maintain logical sessions.

Messaging API Integrations - Connects custom software services to a messaging platform to automate notifications and user interactions.

Dispatchers - Routes incoming messages through a central registry that matches specific update types to registered handler functions.

Messaging Bot Wrappers - Maps native messaging platform methods and update types into structured objects for programmatic interaction.

Update Handlers - Allows defining custom logic for processing updates by implementing handler interfaces for specific messages and events.

Messaging API Interfaces - Translates high-level commands into standard network requests for messaging platforms.

Middleware Pipelines - Processes incoming updates through a chain of pre-processing functions that modify or filter data before reaching final logic.

Event-Driven Messaging Systems - Creates automated workflows that respond to real-time user input or system triggers.

Event-Driven Update Handlers - Routes incoming network messages to specific callback functions based on defined patterns and state.

Interaction Orchestrators - Offers specialized modules to manage multi-step user interactions and bot state, simplifying input handling and logic flow.

Update Fetchers - Enables fetching updates from the API using built-in updaters or manual injection for custom webhook implementations.

Bot Frameworks - Comprehensive Python wrapper for the Bot API.

General Utilities - Framework for the Telegram Bot API.

Media and Communication - Telegram Bot API wrapper.

Persistence Layers - Supports persisting user, chat, and bot data across application restarts by implementing storage interfaces.

Integrated Webhook Servers - Provides an integrated server to receive bot updates directly from a messaging service.

Polling and Webhook Clients - Maintains persistent connections or receives push notifications to process incoming data streams.

Rate Limiters - Provides a rate-limiting interface to throttle outgoing API requests, ensuring compliance with platform-imposed frequency constraints.

Concurrency Models - Triggers event handlers without waiting for completion to keep the main process responsive.

Scalable Chat Automation - Develops robust backend services that manage complex conversation flows and multi-user interactions.

Task Schedulers - Includes an integrated queue system for scheduling recurring or one-time tasks to optimize application overhead.

Hybrid Update Connectors - Supports both active request-based fetching and passive server-pushed updates to accommodate diverse deployment environments.

Callback Caches - Provides mechanisms to cache arbitrary callback data, enabling complex button interactions and state management.

API Bridges - Maps local method calls to remote API endpoints using non-blocking network operations for high-throughput communication.

python-telegram-botpython-telegram-bot

Features

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