Design an API endpoint that provides autocomplete suggestions for large cities. The suggestions should be restricted to cities in the USA and Canada with a population above 5000 people.

• the endpoint is exposed at /suggestions
• the partial (or complete) search term is passed as a query string parameter q
• the caller's location can optionally be supplied via query string parameters latitude and longitude to help improve relative scores
• the endpoint returns a JSON response with an array of scored suggested matches
  • the suggestions are sorted by descending score
  • each suggestion has a score between 0 and 1 (inclusive) indicating confidence in the suggestion (1 is most confident)
  • each suggestion has a name which can be used to disambiguate between similarly named locations
  • each suggestion has a latitude and longitude
• all functional tests should pass (additional tests may be implemented as necessary).
• the final application should be available publicly. You can use any hosting solution of your choice (Heroku, GCP, etc.).
• feel free to add more features if you like!

These responses are meant to provide guidance. The exact values can vary based on the data source and scoring algorithm.

Near match

GET /suggestions?q=Londo&latitude=43.70011&longitude=-79.4163

{
  "suggestions": [
    {
      "name": "London, ON, Canada",
      "latitude": "42.98339",
      "longitude": "-81.23304",
      "score": 0.9
    },
    {
      "name": "London, OH, USA",
      "latitude": "39.88645",
      "longitude": "-83.44825",
      "score": 0.5
    },
    {
      "name": "London, KY, USA",
      "latitude": "37.12898",
      "longitude": "-84.08326",
      "score": 0.5
    },
    {
      "name": "Londontowne, MD, USA",
      "latitude": "38.93345",
      "longitude": "-76.54941",
      "score": 0.3
    }
  ]
}

No match

GET /suggestions?q=SomeRandomCityInTheMiddleOfNowhere

{
  "suggestions": []
}

• All code should be written in Javascript or Typescript.
• Mitigations to handle high levels of traffic should be implemented.
• Challenge is submitted as pull request against this repo (fork it and create a pull request).
• Documentation and maintainability is a plus.

You can find the necessary dataset along with its description and documentation in the data directory.

We will use the following criteria to evaluate your solution:

• Capacity to follow instructions
• Developer Experience (how easy it is to run your solution locally, how clear your documentation is, etc)
• Solution correctness
• Performance
• Tests (quality and coverage)
• Code style and cleanliness
• Attention to detail
• Ability to make sensible assumptions

It is ok to ask us questions!

We know that the time for this project is limited and it is hard to create a "perfect" solution, so we will consider that along with your experience when evaluating the submission.

You are going to need:

• Git
• nvm (or your preferred node version manager)
• Node.js

1. Begin by forking this repo and cloning your fork. GitHub has apps for Mac and Windows that make this easier.

2. Install nvm or your preferred node version manager.

3. Install Node.js.

In the project directory run:

nvm use
npm install

The test suite can be run with:

npm run test

To start a local server run:

npm run start

it should produce an output similar to:

Server running at http://127.0.0.1:2345/suggestions