Feelings

This app can detect a sentiment by analyzing a text. Thanks to the Open Service Broker for Azure, this app is able to connect to the Text Analytics API seemlessly. The endpoint is managed by the Azure service broker.

Prerequisites

You need to run Cloud Foundry on Azure. An Open Service Broker instance should be running.

If you're using Pivotal Cloud Foundry, you can use this guide to setup a service broker for Azure on your platform.

How to use it?

Create a Text Analytics service:

$ cf create-service azure-text-analytics free textAnalytics -c '{ "location": "northeurope", "resourceGroup": "cfdemo-services" }'

Wait for the service to be provisioned by the service broker.

$ cf service textAnalytics
Showing info of service textAnalytics in org demos / space dev as [email protected]...

name:            textAnalytics
service:         azure-text-analytics
tags:
plan:            free
description:     Azure Text Analytics (Experimental)
documentation:
dashboard:

Showing status of last operation from service textAnalytics...

status:    create succeeded
message:
started:   2018-10-26T21:44:57Z
updated:   2018-10-26T21:47:00Z

There are no bound apps for this service.

Compile this project using Maven, and deploy it to Cloud Foundry:

$ ./mvnw clean package
$ cf push

You're good to go!

How it works?

This app is built with the following technologies:

Spring Boot is providing a very effective framework for developping modern apps
Spring Cloud Connectors makes integration with Cloud Foundry easy: this app extends SCC in order to connect to Azure Text Analytics API from Cloud Foundry
Open Service Broker for Azure brings Azure services to Cloud Foundry apps: these services are fully managed by Azure
Last but not least, this app is written using Kotlin, a modern language running on the JVM