import { Configuration, OpenAIApi } from 'openai'
import { process } from './env'

const configuration = new Configuration({
    apiKey: process.env.OPENAI_API_KEY,
})

const openai = new OpenAIApi(configuration)

const chatbotConversation = document.getElementById('chatbot-conversation')
 
let conversationStr = ''
 
document.addEventListener('submit', (e) => {
    e.preventDefault()
    const userInput = document.getElementById('user-input') 
    conversationStr += userInput.value
    console.log(conversationStr)
    // fetchReply()
    const newSpeechBubble = document.createElement('div')
    newSpeechBubble.classList.add('speech', 'speech-human')
    chatbotConversation.appendChild(newSpeechBubble)
    newSpeechBubble.textContent = userInput.value
    userInput.value = ''
    chatbotConversation.scrollTop = chatbotConversation.scrollHeight
}) 

async function fetchReply(){
    const response = await openai.createChatCompletion({
/*
Challenge:
    1. Swap out the model for your fine-tuned model.
    2. Swap 'messages' for 'prompt' and update the reference 
       to the old conversationArr.
    3. Test.
*/
        model: 'gpt-4',
        messages: conversationArr,
        presence_penalty: 0,
        frequency_penalty: 0.3
    }) 
    // conversationArr.push(response.data.choices[0].message)
    // renderTypewriterText(response.data.choices[0].message.content)
}

function renderTypewriterText(text) {
    const newSpeechBubble = document.createElement('div')
    newSpeechBubble.classList.add('speech', 'speech-ai', 'blinking-cursor')
    chatbotConversation.appendChild(newSpeechBubble)
    let i = 0
    const interval = setInterval(() => {
        newSpeechBubble.textContent += text.slice(i-1, i)
        if (text.length === i) {
            clearInterval(interval)
            newSpeechBubble.classList.remove('blinking-cursor')
        }
        i++
        chatbotConversation.scrollTop = chatbotConversation.scrollHeight
    }, 50)
}