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.
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
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"
}
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"
]
}
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 toimages/spring-boot/target
in docker repo's root directory. - Run
docker-compose up
in the docker repo's root directory.