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Lunatech COVID Assessment Instructions
We’d like to invite you to do a code assessment as discussed during your interview. Please read these instructions carefully to ensure that you implement everything as expected. Be sure to do your work on a separate branch and when you are ready for your code to be reviewed, open a pull request to the main branch. This is important as it will signify that you've completed the assessment. After completing the assessment, developers from Lunatech will review your code and you'll be given the chance to "hand off" the application to them. You'll give a demo of your app, explain your technical choices, and discuss the application with them.
The code assessment is not a puzzle; it's not meant to be tricky or confusing. If you have any questions do not hesitate to contact us, we'll be glad to answer them.
Guidelines
- Approach this assessment if as you were developing a real world project. We want to see how you conduct your engineering practice (project structure, code quality, readability, documentation and so on). GitHub Actions are enabled for this repo, so feel free to use them.
- The one week limit is to be able to give rapid feedback, you can have more time, just send us an email. It’s OK if you haven’t completed all the requirements, the exercise is meant to start a discussion. Remember: Quality over Quantity.
- When you're complete, make sure all of your code is pushed up to this repo and let us know.
- You're free to use whatever tech stack you're comfortable with, just make sure the stack makes sense given the assignment
The Details
The goal of this assessment is to produce a web application written in Java or Scala, using data available in this repository. This application covers the following requirements:
Query:
For this endpoint, given a country name, and date (eg. 14-06-2020), get the daily infections and deaths up until, and including, the specified date. For bonus points, make the test partial/fuzzy (e.g. entering 'Zimb' will result in 'Zimbabwe').
Reports:
This endpoint will return to the user the following reports:
- 10 countries with the highest vaccinations (with count), and countries with lowest number of vaccinations.
- 10 countries with the highest infections per 100k inhabitants (with count)
- Bonus: If we consider all populations wants to become fully vaccinated (there is no such thing as an Anti-Vaxxer), print countries that haven't vaccinated their whole population with at least one shot or jab.
Setup
To speed up the assessment development, we have provided a docker-compose file that
will run a PostgreSQL instance with all the data loaded,
which you can start with the following command: docker-compose up. You can connect to
this instance from your application with the following values:
JDBC URL = jdbc:postgresql://localhost:5432/lunatech_covid
Username = postgres
Password = postgres
The schema is defined within the file schema.sql in the database-init
folder. For whatever reason if you want to change anything in the
docker-compose or re-use it in your own docker-compose, feel free. It's
provided for your convenience.