This outlines a recent problem we ran into and came up with a development solution for. We'd like to see how you would handle it. What is most important is gaining some insight into your development process and seeing how you work.

BriteCore is a web-based platform insurance companies use to manage their business. Insurance is a form of risk management. Risks are anything that someone could incur a loss on. BriteCore has historically worked primarily with property-based risks (homes, farms, churches, etc.).

Since BriteCore was created to work mostly with property-based insurance, the data model is pretty rigid. The data model assumes that all risks are properties and have addresses. This makes it difficult for BriteCore to work with different forms of insurance like Automobile Policies, Cyber Liability Coverage (protection against hacking), or Prize Insurance (if someone gets a $1 million hole-in-one prize at a golf tournament, the golf course doesn't pay it, they have an insurance policy to cover them).

We would like to see you come up with a solution that allows insurers to define their own custom data model for their risks. There should be no database tables called automobiles, houses, or prizes. Instead, insurers should be able to create their own risk types and attach as many different fields as they would like.

Fields are bits of data like first name, age, zip code, model, serial number, Coverage A limit, or prize dollar amount. Basically any data the carrier would want to collect about the risk. Fields can also be of different types, like text, date, number, currency, and so forth.

For the data layer, model the risk types and how the generic fields and field types would relate to these risk types. Field types should be either text, number, date, or enum (where there are multiple potential options but only one choice can be made).

Deliverables will be either...

1. A Python file containing the ORM classes for these tables.
2. An entity relationship diagram, which depicts the tables and their relationship to one another.
3. Both 1 and 2, because you're awesome.

For the backend, create two API endpoints. One that returns a single risk type and one that returns a list of all risk types. Include all of the risk types' fields, field types, and any other data about the fields. This is your chance to show that you know how to create clean REST APIs.

Deliverables will be...

1. A well-tested REST API written in Python.

The frontend is all about collecting information as it relates to these generic models. Create a single page that hits your risk type API endpoint(s) and displays all of the fields to the user in a form. Be sure to display at least one field of each type on the page. Don't worry about submitting the form.

Fields should use appropriate widgets based on their type. text fields should display as text boxes, date fields should use date pickers, and so on.

Deliverables will be...

1. A modern JavaScript app. Bonus points if you use ES6 and a modern JavaScript framework. Mega bonus points if you use Vue.js specifically.

For questions, please contact [email protected].

When you're done with the above project, please submit your GitHub repo to [email protected] along with a link to a live hosted instance.

1. Bonus points if you also orchestrate the launch environment in AWS using CloudFormation.
2. Mega bonus points if you the app in AWS Lambda using Zappa.