The SleepTight Discord bot is designed to monitor user in voice channels fell asleep. If a user is detected to have fallen asleep, the bot sends a text message, plays a specific sound, and then removes the user from the voice channel. This bot enhances server interactions by providing a fun and interactive audio experience for users.

• How It Works
• Development & Configuration
• Setup & Installation
• Events
• Dependencies
• Debugging with VS Code
• Contribution & Feedback
• License
• Contact

The bot determines if a user has fallen asleep using a combination of wearable technology and mobile applications:

• Xiaomi Mi Band 6: This is the primary wearable device used for sleep detection. While the bot has been tested with the Mi Band 6, it may also be compatible with other models.
• Notify for Mi Band: This Android application detects when the Mi Band recognizes that the user has fallen asleep. Upon detection, it sends an intent signal.
• Tasker: Another Android application that receives the intent from "Notify for Mi Band". Once Tasker receives the intent, it triggers an action - specifically, making an HTTP request to the local server where the bot is running.
• Bot Action: Upon receiving the HTTP request from Tasker, the bot performs the following actions:
  1. Sends a goodbye message to a specified text channel within a designated guild.
  2. Removes the user from the voice channel.
  3. Plays a "goodnight" sound.

• TypeScript: The bot is written in TypeScript, offering strong typing and OOP features.
• ESLint: The code is linted using ESLint to ensure code quality and consistency.
• VS Code: For developers using Visual Studio Code, there are specific configurations provided for a seamless development experience.

1. Clone the Repository

   git clone https://github.com/jndgoncalves/SleepTight-discord-bot

2. Navigate to the Directory

   cd discord-bot

3. Install Dependencies

   npm install

4. Setup Environment Variables Rename .env.example to .env and fill in the required variables, such as your Discord token and any other necessary configurations.

5. Run the Bot

   docker-compose up

6. Wearable Device Ensure you have the Xiaomi Mi Band (or a compatible device) set up and paired with your Android device.

7. Notify for Mi Band Install the Notify for Mi Band application on your Android device. Download and install the "Notify for Mi Band" application from here (https://mibandnotify.com/). Ensure the app has the necessary permissions to access your Mi Band's data. Important: Go to your phone's settings and make sure that "Notify for Mi Band" is allowed to run in the background and autostart on device boot.

8. Tasker Download and install the Tasker application from here (https://tasker.joaoapps.com/). Create an event, set action to "com.mc.miband.tasker.fellAsleep" (intent). Then create task, set action to "HTTP Request" and fill in the following details: Method GET and URL http://[IP of the server where the bot is running]:3000/fellAsleep.

   Important: Similarly, ensure Tasker is allowed to run in the background and autostart on device boot through your phone's settings.

• ready: Initializes the bot and logs a message to the console.

• Discord.js: Interact with the Discord API.
• @discordjs/voice: Handle voice connections in Discord.js.
• dotenv: Load environment variables from .env.
• ts-node: TypeScript execution for Node.js.
• ffmpeg: Handle multimedia data for audio playback in voice channels.

• @typescript-eslint/eslint-plugin and @typescript-eslint/parser: ESLint support for TypeScript.
• eslint: Lint ECMAScript/JavaScript code.
• nodemon: Monitor source changes and restart the server.
• typescript: Static types for JavaScript development.

1. Update docker-compose.yml: Modify for debugging.

2. Build and Start the Container:

   docker-compose up

3. Debug using VS Code: Attach VS Code to the running Node.js process inside the container.

Contributions are welcome! Fork the repository and submit a pull request for enhancements or fixes. For feedback or issues, use the GitHub issues section.

This project is licensed under the MIT License.

For inquiries or collaboration opportunities, reach out via GitHub issues or your preferred contact method.