- implemented this in python 3
- install pipenv first
Setup
pipenv install
Start
cd people
pipenv run python manage.py runserver 8085
Test
cd people
pipenv run python manage.py test
With a data in this repo, build an API that sends 10 potential investor similar with a person described in the query parameters.
- the endpoint is exposed at
people-like-you - each of the terms in the query parameters is optional
- 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 indicating confidence in the suggestion (1 is most confident)
Match found
GET /people-like-you?age=23&latitude=40.71667&longitude=19.56667&monthlyIncome=5500&experienced=false
{
"peopleLikeYou": [
{
"name": "Dorthea",
"age": 24,
"latitude": "40.7232",
"longitude": "19.55256",
"monthlyIncome": 5532,
"experienced": false,
"score": 0.9
},
{
"name": "Francesco",
"age": 25,
"latitude": "40.7223",
"longitude": "19.55264",
"monthlyIncome": 5578,
"experienced": false,
"score": 0.9
},
{
"name": "Jarib",
"age": 20,
"latitude": "40.7232",
"longitude": "19.55256",
"monthlyIncome": 5700,
"experienced": true,
"score": 0.8
},
{
"name": "Merv",
"age": 22,
"latitude": "40.7233",
"longitude": "19.5526",
"monthlyIncome": 6309,
"experienced": true,
"score": 0.6
},
{
"name": "Jorrie",
"age": 19,
"latitude": "40.7344",
"longitude": "19.6200",
"monthlyIncome": 6488,
"experienced": false,
"score": 0.6
},
{
"name": "Branden",
"age": 27,
"latitude": "40.4522",
"longitude": "19.67011",
"monthlyIncome": 4312,
"experienced": false,
"score": 0.5
},
{
"name": "Delila",
"age": 30,
"latitude": "40.49492",
"longitude": "19.25686",
"monthlyIncome": 7340,
"experienced": false,
"score": 0.5
},
{
"name": "Franzen",
"age": 40,
"latitude": "40.99926",
"longitude": "20.55256",
"monthlyIncome": 7437,
"experienced": false,
"score": 0.4
},
{
"name": "Latrena",
"age": 42,
"latitude": "40.99232",
"longitude": "19.55256",
"monthlyIncome": 8822,
"experienced": true,
"score": 0.4
},
{
"name": "Ulberto",
"age": 37,
"latitude": "41.7232",
"longitude": "19.75256",
"monthlyIncome": 8129,
"experienced": true,
"score": 0.4
},
]
}Match not found
GET /people-like-you?age=1000
{
"peopleLikeYou": []
}- Your code should be written in JS
- Design and implement your solution as you would do for real production code
- Don't forget unit tests
- You can add new features to your liking
- Your submission would be reviewed based on these criteria:
- Performance
- Code quality
- Tooling choices
- Additional features
- To submit your work, deploy the app to a public cloud and give us the URL. You’ll also need to send us the link of the repository containing the required source to us and we are willing to have a look on how you build the system step by step
- DO NOT copy a solution. If we found your work is exactly same with another candidate, we may have to terminate the review process
virtualenv is peoplelikeme