Following Monitoring Telegram Bot

This project is a Flask-based web application designed to monitor the following counts of specified usernames on a social media platform. It sends notifications to a Telegram chat whenever there is an increase in the number of accounts a user is following.

Features

• Set Usernames: Specify a list of usernames to monitor.
• Start/Stop Monitoring: Start or stop the monitoring process.
• Following Count Checking: Periodically checks following counts and detects new followings.
• Telegram Notifications: Sends a message to a specified Telegram chat when new followings are detected.

Technologies Used

• Flask: Web framework for building the application.
• APScheduler: For scheduling periodic following count checks.
• Telegram Bot API: For sending notifications.
• Decouple: For managing configuration variables.

Installation

1. Clone the repository:

   git clone https://github.com/maron09/following-monitoring-bot.git
   cd following-monitoring-bot

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the dependencies:

   pip install -r requirements.txt

4. Create a .env file in the project root and add your Telegram bot token and chat ID:

   TELEGRAM_BOT_TOKEN=your-telegram-bot-token
   TELEGRAM_CHAT_ID=your-telegram-chat-id
   

5. Ensure you have the following module with a get_following_count function:

   # following.py
   
   def get_following_count(username):
       # Implement this function to return the following count for the given username
       pass

Running the Application

1. Run the Flask application:

   python app.py

2. Open your web browser and navigate to:

   http://127.0.0.1:5000/
   

API Endpoints

• GET /: Renders the index page.
• POST /set_usernames: Sets the list of usernames to monitor. Expects a JSON payload with a usernames key.

  {
    "usernames": ["username1", "username2"]
  }

• POST /start_monitoring: Starts the monitoring process.
• POST /stop_monitoring: Stops the monitoring process.

How It Works

1. Set Usernames:

   • Use the /set_usernames endpoint to specify the usernames you want to monitor.
   • This initializes the last_follower_counts dictionary with the current following counts for the provided usernames.

2. Start Monitoring:

   • Use the /start_monitoring endpoint to start the periodic following count checks.
   • The check_followers function is scheduled to run every minute.

3. Check Followers:

   • The check_followers function retrieves the current following count for each username.
   • If there is an increase in the following count, a Telegram message is sent to the specified chat.

4. Stop Monitoring:

   • Use the /stop_monitoring endpoint to stop the monitoring process.

License

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

Acknowledgements

• Flask
• APScheduler
• Telegram Bot API
• Decouple

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

Contact

For any inquiries, please reach out to [chimarokeonyebi@gmail.com].

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