06 Smart device automation - Red Hat AI Hackathon Java Code Generation
Read more here https://github.com/smartabyar-smartvi...
Red Hat AI Combinator Hackathon entry
Smart Device API Code Generation with AI/ML hackathon
By Christopher Tate
Because reactive/asynchronous APIs are more efficient and scalable, but are much more complex to build by hand. We can use code generation to build extendable APIs consistently, faster, and more secure with AI/ML Code Generation based on the well established computate open source project. Increase Quarkus API and web developer productivity with OpenAPI Code Generation based on code comments. Easily deploy new edge device models and edge device models following open source FIWARE smart data model schemas with AI/ML predictive code generation.
Now that we have generated a complete set of APIs and web pages for PhotovoltaicMeasurement data, now we will build an OpenShift CustomResourceDefinition (CRD), Ansible Role, and Ansible Playbooks to easily deploy PhotovoltaicMeasurement smart devices, register the devices in the IoT Agent, update the entity data in the Context Broker, and send the same entity data to the Smart Village Platform so that we can visualize it.