<aside> 👉 Prerequisites:

Pokemon promises vs async/await

</aside>

You are going to create a chatbot that you will deploy in a Discord channel

https://discordjs.guide/preparations/

Core user stories:

  1. Project Setup with Libraries: As a back-end developer, I want to set up a new Node.js project in VS Code with the discord.js and openai libraries using require('discord.js') and require('openai') after installing them with **npm**, so I can start building my bot with all necessary functionalities.
  2. Secure Configuration: As a back-end developer, I want to configure my bot securely by using require('dotenv/config') to load my API keys from a .env file, ensuring they are not hard-coded into my project, using a .gitignore file.
  3. Bot Initialisation: As a back-end developer, I want to initialise my Discord bot and log in to Discord using the new Discord.Client() constructor and client.login method with my Discord token, to start listening for messages.
  4. Message Handling: As a back-end developer, I want to handle incoming messages by setting up a message event listener using client.on('messageCreate', callback) to process messages received in Discord and respond to them with a “hello” message.
  5. Optimisation: As a developer, I want the bot to optimise its performance by efficiently handling events, so that it does not consume excessive resources. This may involve writing efficient callback functions for client.on and client.once, ensuring they execute tasks quickly and without unnecessary resource consumption.
  6. OpenAI Chat Integration and Response Generation: As a back-end developer, I want to integrate OpenAI into my bot and send chat prompts to the API to generate responses. This would involve using the openai.chat.completions.create() method with my OpenAI API key. I aim to pass conversation history and other necessary parameters to this method to receive context-aware chat completions. This will enable the bot to generate dynamic, intelligent responses based on ongoing conversations, enhancing user interaction and experience.
  7. Response Management: As a back-end developer, I want to manage the OpenAI response returned by openai.chat.completions.create() using either fetch or async/await and sending the response back to the Discord channel.
  8. Command Processing: As a back-end developer, I want to process commands directed at my bot by using string matching or a command prefix to distinguish between general messages and commands meant for the bot.
  9. Error Handling: As a back-end developer, I want to implement error handling in my bot interactions using either **.catch** or try...catch within my fetch or **** async functions to manage exceptions and provide error messages if something goes wrong.

Stretch user stories:

  1. Messaging Users Directly:

    Hint: Utilise the user.send() method in Discord.js to send direct messages to users. Retrieve the user object through events or commands that the bot receives.

  2. Dialogue Boxes and Interactive Responses:

    Hint: Implement Discord's message components like buttons and select menus using MessageActionRow and MessageButton or MessageSelectMenu classes from Discord.js. Handle interactions with client.on(Events.InteractionCreate, callback).

  3. Creating Private Chats (Channels):

    Hint: Use guild.channels.create() to create new private channels and manage access using permission overwrites in Discord.js.

  4. Automated Moderation Features:

    Hint: Monitor messages for specific keywords or patterns using client.on(Events.MessageCreate, callback). Implement moderation actions like message.delete() for removing inappropriate content and guildMember.timeout() for muting users.