Backend Task

Introduction

This is a simple task to create a suitable API back-end incorporating:

• several routes and HTTP methods
• validation of input URI segments, parameters and data
• generating suitable responses and/or error messages
• testing

The solution must be in a back-end lanaguage capable of running on a HTTP server. You can use whatever framework or dependencies you require - e.g. PHP/Symfony, Ruby/Rails, Python/Django, JavaScript/Next. You could even use no external dependencies - it's up to you. For data storage, you are also free to chose whatever you think is suitable - e.g. MongoDB, SQLite, MySQL PostgreSQL - or you could simply store the cars in a cache or session, or use mock data. The important aspect is the handling of requests and generating responses.

Minimum Requirements

• The API should allow the adding, deleting and listing of cars
• The age of each car submitted can not be older than four years
• There should be four initial colour options - red, blue, white and black
• The API should respond with appropriate HTTP response codes and messages
• The API should accept and return valid JSON
• A suite of suitable tests should be created for these requirements

Endpoints

POST /cars
GET /car/<id>
DELETE /cars/<id>
GET /cars

Data Models

Car

• ID (integer)
• Make (string)
• Model (string)
• Build Date (date)
• Colour ID (integer)

Colour

• ID (integer)
• Name (string)

Optional Requirements

• Endpoints to add, update, delete and list additional colours
• A short description of how extra data models could improve the design
• A short description on how best the API could be documented

Submission

Here's what you'll need to send us:

• A link to a public GitHub repo that you have created, containing the code
• It should contain a suite of unit tests (using whichever test framework you prefer)
• It should also contain a README.md file explaining how to run the app and its tests
• You may also send us a link to a location hosting your code (for example, Heroku)

The task should take around 2-3 hours.