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In some cases, we want to have models that not only handle training and inference, but can also react to events from the platform. An example might be a model that is used to determine which documents should be inferred in a project for example. These are not traditional models, but are really event handlers that are triggered by events in the platform. To support this, we need to do two things:
  • Add a flag to our model metadata to indicate that we want to handle events
  • Include a new method that will receive

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Setting up a model to handle events

To set up a model to handle events, we need to add a new flag to the model metadata called eventAware and set it to true. 
slug: my-model
version: 1.0.0
orgSlug: kodexa
type: store
storeType: MODEL
name: My Event Model
metadata:
  eventAware: true
  modelRuntimeRef: kodexa/base-model-runtime
  type: model

  contents:
    - model/*
Then in our model, we must add a new method called handle_event that will be called by the model runtime when an event is triggered. 
def handle_event(event):
    logger.info(f"Received event {event}")
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