// Required. Specify the Wassenger API key to be used
// You can obtain it here: https://app.wassenger.com/developers/apikeys
const apiKey = env.API_KEY || 'ENTER API KEY HERE'

// Required. Specify the OpenAI API key to be used
// You can sign up for free here: https://platform.openai.com/signup
// Obtain your API key here: https://platform.openai.com/account/api-keys
const openaiKey = env.OPENAI_API_KEY || ''

// Ngrok tunnel authentication token.
// Required if webhook URL is not provided or running the program from your computer.
// sign up for free and get one: https://ngrok.com/signup
// Learn how to obtain the auth token: https://ngrok.com/docs/agent/#authtokens
const ngrokToken = env.NGROK_TOKEN || 'ENTER NGROK TOKEN HERE',

// Default message when the user sends an unknown message.
const unknownCommandMessage = `I'm sorry, I can only understand text. Can you please describe your query?

If you would like to chat with a human, just reply with *human*.`

// Default welcome message. Change it as you need.
const welcomeMessage = `Hey there 👋 Welcome to this ChatGPT-powered AI chatbot demo using *Wassenger API*! I can also speak many languages 😁`

// AI bot instructions to adjust its bevarior. Change it as you need.
// Use concise and clear instructions.
const botInstructions = `You are an smart virtual customer support assistant that works for Wassenger.
You can identify yourself as Molly, the Wassenger chatbot assistant.
You will be chatting with random customers who may contact you with general queries about the product.
Wassenger is a cloud solution that offers WhatsApp API and multi-user live communication services designed for businesses and developers.
Wassenger also enables customers to automate WhatsApp communication and build chatbots.
You are an expert in customer support. Be polite, be gentle, be helpful and emphatic.
Politely reject any queries that are not related to customer support or Wassenger itself.
Strictly stick to your role as customer support virtual assistant for Wassenger.
If you can't help with something, ask the user to type *human* in order to talk with customer support.
Sales meeting can be booked with a human sales representative: ask for a date and time to book it.
Assume date time zone is GMT.`

// Default help message. Change it as you need.
const defaultMessage = `Don't be shy 😁 try asking anything to the AI chatbot, using natural language!

Example queries:

1️⃣ Explain me what is Wassenger
2️⃣ Can I use Wassenger to send automatic messages?
3️⃣ Can I schedule messages using Wassenger?
4️⃣ Is there a free trial available?

Type *human* to talk with a person. The chat will be assigned to an available member of the team.

Give it a try! 😁`

// Template messages to be used by the chatbot on specific scenarios. Customize as needed.
const templateMessages = {
  // When the user sends an audio message that is not supported or transcription failed
  noAudioAccepted: 'Audio messages are not supported: gently ask the user to send text messages only.',
  // Chat assigned to a human agent
  chatAssigned: 'You will be contact shortly by someone from our team. Thank you for your patience.'
}

// Chatbot features. Edit as needed.
const features = {
  // Enable or disable text input processing
  audioInput: true,
  // Enable or disable audio voice responses.
  // By default the bot will only reply with an audio messages if the user sends an audio message first.
  audioOutput: true,
  // Reply only using audio voice messages instead of text.
  // Requires "features.audioOutput" to be true.
  audioOnly: false,
  // Audio voice to use for the bot responses. Requires "features.audioOutput" to be true.
  // Options: 'alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'
  // More info: https://platform.openai.com/docs/guides/text-to-speech
  voice: 'echo',
  // Audio voice speed from 0.25 to 2. Requires "features.audioOutput" to be true.
  voiceSpeed: 1,
  // Enable or disable image input processing
  // Note: image processing can significnantly increase the AI token processing costs compared to text
  imageInput: true
}

const limits = {
  // Required. Maximum number of characters from user inbound messages to be procesed.
  // Exceeding characters will be ignored.
  maxInputCharacters: 1000,
  // Required: maximum number of tokens to generate in AI responses.
  // The number of tokens is the length of the response text.
  // Tokens represent the smallest unit of text the model can process and generate.
  // AI model cost is primarely based on the input/output tokens.
  // Learn more about tokens: https://platform.openai.com/docs/concepts#tokens
  maxOutputTokens: 1000,
  // Required. Maximum number of messages to store in cache per user chat.
  // A higher number means higher OpenAI costs but more accurate responses thanks to more conversational context.
  // The recommendation is to keep it between 10 and 20.
  chatHistoryLimit: 20,
  // Required. Maximum number of messages that the bot can reply on a single chat.
  // This is useful to prevent abuse from users sending too many messages.
  // If the limit is reached, the chat will be automatically assigned to an agent
  // and the metadata key will be addded to the chat contact: "bot:chatgpt:status" = "too_many_messages"
  maxMessagesPerChat: 500,
  // Maximum number of messages per chat counter time window to restart the counter in seconds.
  maxMessagesPerChatCounterTime: 24 * 60 * 60,
  // Maximum input audio duration in seconds: default to 2 minutes
  // If the audio duration exceeds this limit, the message will be ignored.
  maxAudioDuration: 2 * 60,
  // Maximum image size in bytes: default to 2 MB
  // If the image size exceeds this limit, the message will be ignored.
  maxImageSize: 2 * 1024 * 1024
}

// Tool functions to be consumed by the AI when needed.
// Edit as needed to cover your business use cases.
// Using it you can instruct the AI to inform you to execute arbitrary functions
// in your code based in order to augment information for a specific user query.
// For example, you can call an external CRM in order to retrieve, save or validate
// specific information about the customer, such as email, phone number, user ID, etc.
// Learn more here: https://platform.openai.com/docs/guides/function-calling
const functions = [
  // Sample function to retrieve plan prices of the product
  // Edit as needed to cover your business use cases
  {
    name: 'getPlanPrices',
    description: 'Get available plans and prices information available in Wassenger',
    parameters: { type: 'object', properties: {} },
    // Function implementation that will be executed when the AI requires to call this function
    // The function must return a string with the information to be sent back to the AI for the response generation
    // You can also return a JSON or a prompt message instructing the AI how to respond to a user
    // Functions may be synchronous or asynchronous.
    //
    // The bot will inject the following parameters:
    // - parameters: function parameters provided by the AI when the function has parameters defined
    // - response: AI generated response object, useful to evaluate the AI response and take actions
    // - data: webhook event context, useful to access the last user message, chat and contact information
    // - device: WhatsApp number device information provided the by Wassenger API
    // - messages: an list of previous messages in the same user chat
    run: async ({ parameters, response, data, device, messages }) => {
      // console.log('=> data:', response)
      // console.log('=> response:', response)
      const reply = [
        '*Send & Receive messages + API + Webhooks + Team Chat + Campaigns + CRM + Analytics*',
        '',
        '- Platform Professional: 30,000 messages + unlimited inbound messages + 10 campaigns / month',
        '- Platform Business: 60,000 messages + unlimited inbound messages + 20 campaigns / month',
        '- Platform Enterprise: unlimited messages + 30 campaigns',
        '',
        'Each plan is limited to one WhatsApp number. You can purchase multiple plans if you have multiple numbers.',
        '',
        '*Find more information about the different plan prices and features here:*',
        'https://wassenger.com/#pricing'
      ].join('\n')
      return reply
    },
  },

  // Sample function to load user information from a CRM
  {
    name: 'loadUserInformation',
    description: 'Find user name and email from the CRM',
    parameters: {
      type: 'object',
      properties: {}
    },
    run: async ({ parameters, response, data, device, messages }) => {
      // You may call an remote API and run a database query
      const reply = 'I am sorry, I am not able to access the CRM at the moment. Please try again later.'
      return reply
    }
  },

   // Sample function to verify the current date and time
   {
    name: 'verifyMeetingAvaiability',
    description: 'Verify if a given date and time is available for a meeting before booking it',
    parameters: {
      type: 'object',
      properties: {
        date: { type: 'string', format: 'date-time', description: 'Date of the meeting' }
      },
      required: ['date']
    },
    run: async ({ parameters, response, data, device, messages }) => {
      console.log('=> verifyMeetingAvaiability call parameters:', parameters)
      // Example: you can make an API call to verify the date and time availability and return the confirmation or rejection message
      const date = new Date(parameters.date)
      if (date.getUTCDay() > 5) {
        return 'Not available on weekends'
      }
      if (date.getHours() < 9 || date.getHours() > 17) {
        return 'Not available outside business hours: 9 am to 5 pm'
      }
      return 'Available'
    }
  },

  // Sample function to determine the current date and time
  {
    name: 'bookSalesMeeting',
    description: 'Book a sales or demo meeting with the customer on a specific date and time',
    parameters: {
      type: 'object',
      properties: {
        date: { type: 'string', format: 'date-time', description: 'Date of the meeting' }
      },
      required: ['date']
    },
    run: async ({ parameters, response, data, device, messages }) => {
      console.log('=> bookSalesMeeting call parameters:', parameters)
      // Make an API call to book the meeting and return the confirmation or rejection message
      return 'Meeting booked successfully. You will receive a confirmation email shortly.'
    }
  },

  // Sample function to determine the current date and time
  {
    name: 'currentDateAndTime',
    description: 'What is the current date and time',
    run: async ({ parameters, response, data, device, messages }) => {
      return new Date().toLocaleString()
    }
  }
]