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IRC to Telegram Bridge

Description

This Python program serves as an IRC to Telegram bridge, allowing messages from one or more IRC channels to be relayed to a specified Telegram channel. The program connects to an IRC server, joins specified IRC channels, and monitors incoming messages for specific patterns. When a message matches the pattern, it is forwarded to the Telegram channel using the Pyrogram library.

Usage

  1. Configuration:

    • Configuration values such as the IRC server address, IRC channels, IRC server port, Telegram channel ID, Telegram API ID, and Telegram API hash can be set in a config.json file.

    Example config.json:

    {
        "server": "irc.example.com",
        "channels": "#channel1,#channel2,#channel3",
        "port": 6667,
        "telegram_channel_id": "YOUR_TELEGRAM_CHANNEL_ID",
        "api_id": "YOUR_API_ID",
        "api_hash": "YOUR_API_HASH"
    }
  2. Execution:

    • Run the Python script, and it will read the configuration from config.json and establish connections to the IRC server and Telegram.
    • It continuously monitors IRC channels for messages matching a specified pattern and forwards them to the Telegram channel.
  3. To Do:

    • Error Handling: Enhance error handling and logging for better error reporting and recovery.
    • Dynamic Configuration: Implement the ability to update configuration values while the program is running.
    • Message Rate Limiting: Implement message rate limiting to prevent flooding the Telegram channel.
    • Support for More Message Patterns: Allow configuration of multiple message patterns to match.
    • Multi-Threading: Implement multi-threading for better performance when handling a large number of messages.
    • User Interface: Create a user-friendly interface for configuring the bridge, if desired.
    • Testing: Add unit tests and integration tests to ensure program reliability.

This IRC to Telegram bridge program is a flexible and extensible solution for connecting IRC channels to Telegram channels. It can be customized and improved to meet specific use cases and requirements.

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