The goal of this service is to behave like a search engine for services.
It should accept user inputs and return results that matched the provided service name.
How well the result has to match the input is left to the implementor to decide.
For this exercise the service can communicate over http requests or the standard input/output.
Our goal with this exercise is to see how you approach writing code.
The specific implementations of scoring/filtering data is not the most important part.
Using 3rd party libraries and packages are okay, but make sure we can see who you are as a coder.
Try to not spend more than 2 hours on the exercise.
Data can be read from the file "data.json" (located in root in this repository)
Example data:
[
{
"id": 1,
"name": "Massage",
"position": {
"lat": 59.3166428,
"lng": 18.0561182999999
}
},
{
"id": 2,
"name": "Salongens massage",
"position": {
"lat": 59.3320299,
"lng": 18.023149800000056
}
}
]
The service should have the following input paramters
- Service name
- Geolocation
The output should be in JSON.
It should have the following properties:
- TotalHits
- TotalDocuments
- Results
Where Results should be an array of objects with properties
- Id
- Name
- Position
- Score
- Distance
The Results should be list of services that matched the service name that was inputted.
The Score should be how well the service name matched according to a metric of your choice.
The Distance should be how far away the result item is from the provided location.
Example output:
{
"totalHits": 2,
"totalDocuments": 10,
"results": [
{
"id": 9,
"name": "Massage",
"position": {
"lat": 59.40411099999999,
"lng": 18.109118499999962
},
"distance": "8.95km",
"score": 0
},
{
"id": 3,
"name": "Massör",
"position": {
"lat": 59.315887,
"lng": 18.081163800000013
},
"distance": "100m",
"score": 3
}
]
}