// Example script to show how you can connect to the Open AI GPT API and use the API to help you with your PPC tasks
//
// (c) Nils Rooijmans - https://www.linkedin.com/in/nilsrooijmans/ 
// 
//
// WANT TO LEARN HOW TO USE CHATGPT TO CREATE SCRIPTS FROM SCRATCH?
// SIGN UP FOR MY WORKSHKOP: https://nilsrooijmans.com/5-day-chatgpt-and-google-ads-scripts-challenge/


function main() {
  
  var systemPrompt = "You are a senior Google Ads consultant with excellent skills in creating and optimizing Google Ads campaigns.";
  var userPrompt = "Please provide keyword suggestions for a high end yoga resort that targets lawyers and doctors in the US.";
  
  var gptResponse = getGPTResponse(systemPrompt, userPrompt);
  
  console.log(gptResponse);
}


// START OF GPT CODE

// 1. Set API endpoint 
const ENDPOINT_URL = 'https://api.openai.com/v1/chat/completions';

// 2. Insert API key, get your key at https://platform.openai.com/account/api-keys
const CHAT_GPT_API_KEY = ''; 

// 3. Choose your model, see details https://platform.openai.com/docs/models/overview
// Possible models: gpt-4, gpt-4-0613, gpt-4-32k, gpt-4-32k-0613, gpt-3.5-turbo, gpt-3.5-turbo-0613, gpt-3.5-turbo-16k, gpt-3.5-turbo-16k-0613
const GPT_MODEL = 'gpt-4';

// 4. Set temperature, What sampling temperature to use, between 0 and 2. Default is 1.
// Higher values like 1.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
const TEMPERATURE = 1; 

// 5. Set nucleus sampling. The model considers the results of the tokens with top_p probability mass. 
// So 0.1 means only the tokens comprising the top 10% probability mass are considered. Default is 1.
const TOP_P = 1;

// For more details on the parameter options, visit https://platform.openai.com/docs/api-reference/chat/create


function getGPTResponse(systemPrompt, userPrompt) {
  
  try {
    const messages= [
      {"role": "system", "content": systemPrompt},
      {"role": "user", "content": userPrompt}
    ];

    const headers = {
      "Content-Type": "application/json",
      "Authorization": `Bearer ${CHAT_GPT_API_KEY}`
    };

    const payload = {
      "model": GPT_MODEL,
      "messages": messages,
      "temperature": TEMPERATURE,
      "top_p": TOP_P
    };

    const httpOptions = {
      "method" : "POST",
      "muteHttpExceptions": true,
      "headers" : headers,
      'payload': JSON.stringify(payload)
    };
    
    const response = JSON.parse(UrlFetchApp.fetch(ENDPOINT_URL, httpOptions));

    const responseContent = response.choices[0].message.content;
    //console.log("responseContent = "+responseContent);
    
    return responseContent;
  } catch (e) {
    console.log("### ERROR: some error occured. Please check and try again.\n "+e);
  }
}