"tg_message_listener_main" is a handling module that serves as the core of a Telegram bot application, designed to listen for and process messages from Telegram chats, groups, or channels. It uses the Telethon library to interact with the Telegram API, providing an efficient, event-driven system for routing messages via "telegram_alerts" to specific handlers based on content or context.

Asynchronous Message Listening: Utilizes async I/O for real-time message listening without blocking. Modular Design: Easily extendable with new message handlers for different types of content or commands. Secure Authentication: Integrates with credentials_telegram.json for secure API key and bot token management. Event-Driven Processing: Employs Telethon's event listener capabilities for effective message processing.

• Python 3.6+
• Telethon library
• A valid Telegram API ID and hash, obtainable through my.telegram.org
• (Optional) A Telegram bot token, obtainable via BotFather if operating in bot mode.

Clone the repository:

git clone https://your-repository-url.git
cd your-repository-directory

Install dependencies:

pip install telethon

Configure your credentials:

Rename credentials_telegram.json.example to credentials_telegram.json and fill in your Telegram API credentials and bot token (if using a bot).

{
  "api_id": "YOUR_API_ID",
  "api_hash": "YOUR_API_HASH",
  "bot_token": "YOUR_BOT_TOKEN" // Optional for bot use
}

Run the script to start listening for and processing messages:

python tg_message_listener_main.py

tg_message_listener_main.py: The main script that initializes the Telegram client and sets up event listeners for incoming messages.

Listener Modules:

Separate scripts like dexscreener_tg_message_listener.py, dextools_tg_message_listener.py, and direct_address_tg_listener.py that define specific processing logic for different message types.

Contributions are welcome! If you have ideas for new features, improvements, or bug fixes, feel free to fork the repository, make your changes, and submit a pull request.

For issues, questions, or contributions, please open an issue in the GitHub repository.

Feedback and contributions are welcome!

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