index.js

const core = require('@actions/core');
const github = require('@actions/github');
const Configuration = require('openai').Configuration;
const OpenAIApi = require('openai').OpenAIApi;

const context = {
    OpenAIApiKey: core.getInput('openai-api-key'),
    token: core.getInput('token'),
    prompt: core.getInput('prompt'),
    title: github.context.payload.issue.title,
    name: github.context.payload.repository.name,
    description: github.context.payload.repository.description,
    owner: github.context.payload.repository.full_name.split('/')[0],
    repo: github.context.payload.repository.full_name.split('/')[1],
    issueNumber: github.context.payload.issue.number
}

async function run(){

    console.log(github.context.payload);

    const openAI = setupOpenAI();

    const promptMessages = generatePromptMessages();

    const gptResponse = await getGPTResponse(openAI,promptMessages);

    const gptIssueDesc = postProcess(gptResponse);

    core.setOutput("message", gptIssueDesc);

    const comment = await createDescriptionComment(gptIssueDesc);

    core.info(`Created issue description (comment id '${comment.id}') on issue #'${context.issueNumber}'.`);

}

function setupOpenAI(){

    const configuration = new Configuration({
        apiKey: context.OpenAIApiKey
    })

    const openai = new OpenAIApi(configuration);

    return openai;

}

function generatePromptMessages(){

    let messages = [];

    if(!context.prompt){
        if(context.description){
            messages = [{role:"user",content:`Create a github markdown description for an issue titled '${context.title}' of the github repository ${context.name} whose description is '${context.description}'`}];
        }
        else{
            messages = [{role:"user",content:`Create a github markdown description for an issue titled '${context.title}' of the github repository ${context.name}`}];
        }
    }
    else{
        messages = [{role:"user",content:context.prompt}];
    }

    console.log(`Generated prompt message is: ${messages}`);

    return messages;

}


async function getGPTResponse(openai, messages){

    const GPTResponse = await openai.createChatCompletion({
        model:'gpt-3.5-turbo',
        messages,
    });

    return GPTResponse;
}

function postProcess(GPTResponse){

    const chatGPTMessage = GPTResponse.data.choices[0];

    console.log(chatGPTMessage);

    let body = chatGPTMessage.message.content;

    return body;
}


async function createDescriptionComment(body){

    const octokit = github.getOctokit(context.token);

    if (body.length > 65385) {
        core.warning(`Comment body is too long. Truncating to 65385 characters.`)
        body = body.substring(0, 65385)
    }

    body += '\n \n \n **This issue description is auto-generated by [IkarisGPT](https://https://github.com/devAyushDubey/Ikaris-GPT) 🤖.**'

    const comment = await octokit.rest.issues.createComment({
        owner: context.owner,
        repo: context.repo,
        issue_number: context.issueNumber,
        body
    })

    return comment;

}

try {
    run()
} catch (error) {
    core.setFailed(error.message);
}