Project setup

Prerequisites

• The following must have been installed: node 10.x, serverless, Steam VR, Unity 2019.1.1f1

• AWS account

• Alexa developer account

• Alexa device

• VR Headset connected (or else when starting the main scene it will throw an error)

Usage

• To just start the application you will use the original CloudFormation stack. You don't need to do anything else
• To use Alexa you will need to create a Skill with your custom wake word, as of today you cannot use others' Skills without invitation
• After creating the basic structure of the Skill, import Alexa/Intent.json into the "JSON Editor" to have all the intents
• Build the model
• Use arn:aws:lambda:eu-west-1:418035995248:function:AVRService-production-AVRLambda (or yours if you deploy your own version) as the default Endpoint value
• Put Alexa near to you and save
• Start the scene inside /Scenes with the headset on and call the Wake Word for the Skill

Developing

• Create a new git branch
• To develop the application under your AWS you must deploy the entire stack using serverless deploy in /Alexa/AVRService
• Setup the DynamoDB's Articles table as explained in the "DynamoDB" section of this document
• Change the endpoint (which is hardcoded) for the websockets in Assets/Scripts/websockets.cs and Alexa/AVRService/utils.js with yours

DynamoDB

There are two main tables:

• Articles: this must be populated, /Alexa/Articles.csv there is an example csv with some values. This can be imported in dynamo.
• AVRTable: this is self populated and cleaned after every session. Beware that the alexaUserId is hardcoded in the file /Alexa/AVRService/utils.js. You must replace it with your personal ID (as for the current implementation, this could be improved).