Ai Chatbot Job Challenge

This project aims to demonstrate my skills as a full-stack developer in an AI-powered chatbot for an open role for a company that uses AI to create awesome solutions.

Tech Stack

Technologies
In Action App
Unit Tests
Separation of Concerns
How to Run the Project
Last Words

Technologies

This project uses:

NodeJS: v18.16.0
TypeScript: 5.2.2 version
Openai API: 4.5.0 version
Express: 4.18.2 version
Vitest: 0.34.4 version
MSW: 1.3.0 version
Readline Node module
Unit Tests

In Action App

Some context about this functionality: during my tests using the openAI API I had to have a way to test the communication between my application and the API and test its responses, so I decided to implement a simple CLI at the terminal to make this integration before connecting the front to the backend. To achieve this I use the native node readline to capture the input stream from the terminal and put the response from the AI API to the terminal output too.

How to Use the CLI
Just uncomment the following lines: line 5 and 6

import readline from 'node:readline'
import { openai } from './api'

and 17 to 51

try {
/**
  * CLI that I used to test if the AI API was responding correctly
*/
  const cli = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  terminal: false,
  })

  cli.prompt()

  cli.on('line', async (input) => {
    const aiBot = await openai.chat.completions.create({
      model: 'gpt-3.5-turbo',
      messages: [
        {
          'role': 'user',
          'content': input
        },
      ]
    })
    console.log('>> Bot: ', aiBot.choices[0].message.content)
    cli.prompt()
  })


} catch (error: any) {
  if (error.response) {
    console.log(error.response.status)
    console.log(error.response.data)
  } else {
    console.log(error.message)
  }
}

from the aiServer.ts file

Unit Tests

Following the good practices of development of software, in this project was applied unit test to test if some behavior is according with the intent and to ensure in future features adding not break anything already implemented. To achieve this as the unit test must no rely on nothing external to the application I used a mock concept to fake simulate a API requests, and for this I used the node Mock Service Worker-MSW module alongside with Vitest Unit Test Framework.

I created too a file with all mock config needed by the testing framework.

The Motivation
In my personal case I have a little bit more contact with Jest Test Framework, and based in what I have seen the vitest has gained notoriety on the scenario I decided to test it this time and with this I have contact with another tool commonly used at some big companies.

Separation of Concerns

It's a good practice to separate the concerns between the application's components. Thinking about the I implemented all the AI API fetch logic in it's own controller, leaving the server this way just to run the application. In larger applications is a good practice too separate the application routes in it's own file too, but in this case how the application have just one route I leave it in the server file.

It's worth mention that how to make the connection with the AI API I need provide my Open AI personal account credentials, I isolate them in a separated .env file and add a .env.example file to be send to the remote repo and replicated with appropriated user credentials

How to Run the Project

To run the project after make the github clone, access the project folder and inside type:

npm install or yarn to install all project's needed dependencies.

Next create on the root of the project a .env file, then copy and past to it the .env.example file content and fill up with the user correct OpenAI credentials to correct use. The credentials could be get on companies link: OpenAI

then type
npm run dev:node

Last Words

I just wanna say tank you for the opportunity to show my skills to the company, for the interview process, one of the bests that I have participating lately very kind and attention people with my person.

I hope you like this project, because I put much effort on it. Was pretty challenge and fun make something using AI and other techs.

thomaslnx / AIChatBackend