trendyol-data-eng-summer-intern-2019 / recom-engine-web-service

Web-service component of the project, which is written with Spring Boot.

Recommendation Engine - Web Service Component

Description

This repository contains the web service (RESTful API) component of the recommender engine. The component is written using Spring Boot.

The API mainly uses two HTTP methods: POST and GET. POST method is for users to make reviews with score on a product. GET method is used for retrieving the user specific recommendations from MongoDB. If no entry for user is found in MongoDB, default list of recommendations is returned.

Usage

Run

This component cannot be run by itself. In order to run this component, all of the project components must be run using docker-compose. See Recommendation Engine - Docker Files

Making a POST Request

New review can be posted to the system by invoking POST request to the URL localhost:8080/users/{userId}/reviews. For example, if you want to post a review for user with id 2, you should send a POST request to following URL path:

localhost:8080/users/2/reviews

A request body of the following form must be specified for the POST request:

{
  "productId": "some_alphanumeric_id",
  "score": some_float_number,
  "timestamp": some_timestamp_greater_than_zero
}

Following header must be specified:

Content-Type: application/json

You can use the following command to post a new review to the system for user with id 2:

curl -H 'Content-Type: application/json' -d '{
  "productId": "3",
  "score": 4.5,
  "timestamp": 10
}' localhost:8080/users/2/reviews

Output:

{"productId":"3","score":4.5,"timestamp":"1970-01-01T00:00:00.010+0000","userId":"2"}

You can install jq and beautify the output as follows:

curl -H 'Content-Type: application/json' -d '{
  "productId": "3",
  "score": 4.5,
  "timestamp": 10
}' localhost:8080/users/2/reviews | jq

Output:

{
  "productId": "3",
  "score": 4.5,
  "timestamp": "1970-01-01T00:00:00.010+0000",
  "userId": "2"
}

Making a GET Request

User specific recommendations can be retrieved by invoking a GET request to the URL localhost:8080/users/{userId}/recommendations. User id of the user whom recommendations you want to retrieve is given in the URL path. For example, if you want to fetch the recommendations for the user with id 3, you should send a GET request to following URL path:

localhost:8080/users/3/recommendations

You can use the following command to retrieve recommendations for user with id 3:

curl local:8080/users/3/recommendations

Output:

{"_id":"3","recommendations":["100","101","102","103","104","105","106","107","108","109"]}

You can install jq and beautify the output as follows:

curl local:8080/users/3/recommendations | jq

Output:

{
  "_id": "3",
  "recommendations": [
    "100",
    "101",
    "102",
    "103",
    "104",
    "105",
    "106",
    "107",
    "108",
    "109"
  ]
}

Notes

If you want to change the component's source code and insert it into the project, you can follow these steps:

• Clone docker repository: Recommender Engine - Docker Files.
• Clone this repository, change the desired part of the source code.
• Run sbt clean assembly in the root directory of this repository.
• Move the created jar file target/scala-2.11/recom-engine-streaming-assembly-0.1.jar in this repo's root directory to images/spring-boot/target in docker repo's root directory.
• Run docker-compose up in the docker repo's root directory.

Members

• Sercan Ersoy
• Yasin Uygun
• Oğuzhan Bölükbaş