mypy-boto3-sagemaker-edge

import boto3 from typing import TYPE_CHECKING import os if TYPE_CHECKING: from mypy_boto3_sagemaker_edge.client import SagemakerEdgeManagerClient from mypy_boto3_sagemaker_edge.type_defs import SendHeartbeatRequestRequestTypeDef # Configure AWS credentials and region (replace with your actual configuration) # For quickstart, using environment variables or placeholder for simplicity os.environ['AWS_ACCESS_KEY_ID'] = os.environ.get('AWS_ACCESS_KEY_ID', 'YOUR_ACCESS_KEY') os.environ['AWS_SECRET_ACCESS_KEY'] = os.environ.get('AWS_SECRET_ACCESS_KEY', 'YOUR_SECRET_KEY') os.environ['AWS_REGION_NAME'] = os.environ.get('AWS_REGION_NAME', 'us-east-1') def main(): # Initialize the Sagemaker Edge Manager client with type hints client: SagemakerEdgeManagerClient = boto3.client("sagemaker-edge") # Example: Prepare a request for sending heartbeat with type definition heartbeat_request: SendHeartbeatRequestRequestTypeDef = { "AgentMetrics": [], # List of AgentMetricTypeDef "Models": [] # List of ModelTypeDef } try: # Call an operation on the client response = client.send_heartbeat(**heartbeat_request) print("Heartbeat sent successfully.") print(f"Response Metadata: {response['ResponseMetadata']}") except client.exceptions.InternalServiceException as e: print(f"Error sending heartbeat: {e}") except Exception as e: print(f"An unexpected error occurred: {e}") if __name__ == "__main__": main()