/ko-vwar/

• Purpose
• Solution
• Running the application
• Front-end
  • Deployment (FE)
• Back-end
  • Deployment (BE)
  • The countries directory

This repository contains the solution for the Nokia Front-end Trainee Summer Trainee recruitment task.

Please create a simple Angular 11 application that displays Covid-19 statistics. The application should use a free public API to gather data (e.g. https://rapidapi.com/api-sports/api/covid-193). Let user filter and sort data — it’s up to you in what way.

The solution consists of an Angular web application and a simple API middleware, that serves as a mediator between the Angular application and the COVID-19 statistics API.

You can view the demo here.

To run the application in development mode run

make dev

— this will run both front-end and back-end programs.

Standard issue Angular application program with routing, Angular Material, and ESLint.

The Angular application program uses GH Actions for deployment.

The script first installs and setups all necessary programs and dependencies, and then compiles it using the standard ng build command.

It is served as a .github.io-type webpage which is routed to https://covoir.jerry-sky.me.

A simple ExpressJS back-end program that serves the purpose of a mediator between the actual COVID-19 API, and the front-end application program.

The server hides the API key and caches the results from the COVID-19 API.

In order for the back-end program to run correctly, a .env file must be provided containing the API key, and the host information. The names of the variables are regulated by the environment.ts file (the EnvironmentVariables interface).

The program uses Heroku for deployment.

The deployment script compiles the program, initializes a Git repository (inside the dist directory), and pushes it to the Heroku remote server.

The application is served on https://covoir.herokuapp.com, although you can’t view it in a web browser. It requires the Origin HTTP header to be set.

This directory contains two sets of data and their ‘cross product’ so to say. The issue here was to match the countries’ names from the COVID-19 API, with the countries’ codes from the countries’ flags website.

The cross.py Python3 script matches countries’ names and codes together. Fortunately, most countries did match up. The rest of them were added by hand.

Thus, the static countries.json file containing a map between countries’ names (from the COVID-19 API) and the countries’ codes from the countries’ flags website.