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Model environments help configure behavior based on deployment stage (e.g., production vs. staging). You can access the environment details via kwargs in the Model class.

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1. Retrieve Environment Variables

Access the environment in __init__: 
def __init__(self, **kwargs):
    self._environment = kwargs["environment"]

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2. Configure Behavior Based on Environment

Use environment variables in the load function: 
def load(self):
    if self._environment.get("name") == "production":
        # Production setup
        self.setup_sentry()
        self.setup_logging(level="INFO")
        self.load_production_weights()
    else:
        # Default setup for staging or development deployments
        self.setup_logging(level="DEBUG")
        self.load_default_weights()
Why use this?
  • Customize logging levels
  • Load environment-specific model weights
  • Enable monitoring tools (e.g., Sentry)