marcosvcloures/best-matched-restaurants-ml-backend

Backend

Implementation

The backend is a REST API written in Kotlin and using Boot Spring. The CSV files are stored as resources and, during initialization, they are parsed (using a custom function) and stored in an H2 Database. The filtering and sorting is done using Criteria API.

The backend exposes two endpoints (both documented using SpringDoc, with the documentation available here):

• GET /cuisines/ - used for the autocomplete input in the frontend

• GET /restaurant/filter - the endpoint that gets the restaurants recommendations based on the given criteria (received in the query string)

There are tests implementations for every class, implemented using JUnit 5.

Running

• Run server: .\gradlew bootRun
• Run tests: .\gradlew test

The REST API server will run in localhost:8080, with Swagger enabled.