Microservice to manage thermostats through api.ai conversations
Send text to the api.ai engine. The text is passed through the query param q.
The response contains an action and parameters. The implementation of the response handling can be found in action-handler.js.
E.g. http://my-apiai-thermostat-service?q="It's cold in the kitchen".
The api.ai client access token can be configured through the APIAI_ACCESS_TOKEN environment variable. This environment variable is required.
The SPARQL endpoint can be configured through the MU_SPARQL_ENDPOINT environment variable. By default this is set to http://database:8890/sparql. In that case the triple store used in the backend should be linked to the microservice container as database.
The MU_APPLICATION_GRAPH environment variable specifies the graph in the triple store the microservice will work in. By default this is set to http://mu.semte.ch/application. The graph name can be used in the service via process.env.MU_APPLICATION_GRAPH.