Our goal is to be the best delivery company in the world. In order to achieve that we must do our best to manage the connection between iFood platform and all of our 100.000 restaurants.

Your task is to develop one (or more, feel free) service(s) to:

• handle connection between Restaurant and iFood Platform
• store and delete schedules of unavailabilities
• consolidate and provide data about the restaurants' connection

You also will have to emulate a client (keep it simple) for the Restaurant. The client must:

• guarantee “keep-alive” interactions with your service
• create and cancel schedules of unavailabilities

Fork this repository and submit your code.

• In iFood Platform, the opening hour for the Restaurants are from 10:00 am to 11:00 pm.
• A Restaurant may be available/unavailable.
• A Restaurant may scheduled the status unavailable, due to the following reasons:
  • lack of delivery staff
  • connection issues (bad internet)¹
  • overloaded due to offline orders
  • holidays
• A Restaurant may also be online/offline:
  • In order to a Restaurant be considered online, it must be inside the opening hour AND have interacted with our platform (aka sent a keep-alive signal) in the last two minutes AND its status should be available. Otherwise, it should be considered offline.
• The Restaurants are ranked according to the time they spent offline, inside the opening hour, without a scheduled unavailability.
• Example:

In order to handle 100.000 simultaneously connections, we would like to use an IOT protocol (like MQTT or XMPP) for this scenario.

You will have to keep the connection state of the Restaurants freshly available for whoever wants to query it. We advise the use of some type of compute grid to do this processing in parallel by the instances of the service. Apache Ignite might be a good choice. Or not.

This service needs to answer promptly:

• Given a list of Restaurants, whether they are online or offline.
• Given a specific Restaurant, its unavailability history.
• Reports for iFood commercial team so they can measure how our Restaurants are ranked, according to the amount of time they spent offline (see the diagram above, the red section on the "Restaurant Status" timeline).