🧠 Righteous AI Interview Test

This is a company standard interview test that checks problem solving and research skills.

The program implements many technologies at once. It checks how quickly and efficiently you can diagnose problems and keep moving forward.

It is unrealistic to know everything nor is this expected here. Prioritize learning what is required to solve the problem. The key is to perform time management well.

A successful candidate should, without getting help from an expert, be able to quickly assess the high level program behavior, extract business requirements, and make the necessary code changes without having to know every detail.

To start the interview, follow below instructions:

👉 Start

1. 🐋 Download and install Docker on your local machine
   • On Windows systems, you may have to setup Windows Subsystem Linux (WSL) before installing Docker
   • Check additional help text for Windows on Microsoft documentation here
2. 🐧 Switch to using Docker Linux Engine
   • If you are not sure what this is then don't worry 😅
   • This is set by default for new Docker installations
   • This can also be explicitly done using PowerShell command on Windows when Docker is installed in default path:

     & "$Env:ProgramFiles\Docker\Docker\DockerCli.exe" -SwitchLinuxEngine

3. ⬇️ Get the interview test code on to your local computer
   • This avoids having to install Git as well
   • Git clone command will be run locally from inside the alpine/git Docker container
   • On Windows run the command in PowerShell

     docker run -ti --rm -v "$($ENV:USERPROFILE):/root" -v "$($PWD):/git" alpine/git clone https://github.com/righteouslabs/interview-test

   • On Linux / UNIX / Mac OS run the command in bash

     docker run -ti --rm -v ${HOME}:/root -v $(pwd):/git alpine/git clone https://github.com/righteouslabs/interview-test

   • If you are familiar with Git then you can skip this step and clone the interview source code directly
4. ➡️ Change the current working directory to the interview test code
   • On Windows / Linux / UNIX / Mac OS run the command in the same folder where you ran the git clone command from previous step

     cd interview-test

5. ▶️ Run the interview test program
   • The test program is written in Python and running inside a Docker container
   • On Windows / Linux / UNIX / Mac OS run the command in source code folder

     docker-compose run --build --rm interview-test

6. 🤔 Make the necessary changes in the Python source code so you get the correct secret value
   • Only the correct secret value will be accepted for the interview
7. ✨ There is a bonus question that goes beyond Python code
   • To get this bonus question, you will have to make a new HTTP REST API call
   • Make an additional HTTP REST API call to the /bonus endpoint with the same algorithm but half the sequence length (i.e. a_n where n = L/2)

💁 Hints

1. Read the command output to find out what's missing

   The instructions are meant to be a high-level guide. Not a detailed set of instructions covering all issues.

   You will encounter problems, and this is expected, but do your best to troubleshoot on your own with the information you have. Research online as much as you can before asking an expert for help.

2. Remember to rebuild the container after making code changes

   This test involves Docker containers. This means any code changes made locally don't automatically get pushed inside the container. The container needs to be re-built (or code to be mapped via volumes, but this is advanced for this test)

💻 Laptop Challenges

If you do not have access to a laptop, or are facing setup related issues, then you can still complete the test using a cloud-based IDE. The instructions are slightly different.

Follow instructions below to setup GitHub Codespaces and complete the test:

1. Sign up for a free GitHub account
2. Fork the interview test repository to your GitHub account
3. Click Code button and select Create Codespace on main
4. Wait for the Codespace to be created
5. Once the Codespace is ready, continue with the instructions from the Start section above