mypy-boto3-bedrock-data-automation-runtime

import boto3 from mypy_boto3_bedrock_data_automation_runtime.client import RuntimeforBedrockDataAutomationClient from os import environ def get_bedrock_data_automation_runtime_client() -> RuntimeforBedrockDataAutomationClient: """ Initializes and returns a typed Bedrock Data Automation Runtime client. """ # Using environment variables for AWS credentials is a common practice # and makes the example runnable without hardcoding. # In a real application, boto3 will automatically look for credentials # in various locations (e.g., ~/.aws/credentials, IAM roles). aws_access_key_id = environ.get('AWS_ACCESS_KEY_ID', 'YOUR_ACCESS_KEY') aws_secret_access_key = environ.get('AWS_SECRET_ACCESS_KEY', 'YOUR_SECRET_KEY') aws_region = environ.get('AWS_REGION', 'us-east-1') # The actual boto3 client is untyped; mypy-boto3 provides the type hint. client: RuntimeforBedrockDataAutomationClient = boto3.client( "bedrock-data-automation-runtime", region_name=aws_region, aws_access_key_id=aws_access_key_id, aws_secret_access_key=aws_secret_access_key ) return client if __name__ == "__main__": bedrock_data_automation_client = get_bedrock_data_automation_runtime_client() print(f"Successfully created Bedrock Data Automation Runtime client: {bedrock_data_automation_client}") # Example of calling a method (requires a valid resourceARN for actual execution) # This demonstrates type-checked interaction with the client. # In a real application, consult AWS Bedrock Data Automation Runtime API docs for valid operations. try: # Replace with a real resource ARN if you want to run this successfully response = bedrock_data_automation_client.list_tags_for_resource(resourceARN="arn:aws:bedrock:us-east-1:123456789012:data-automation/example") print("list_tags_for_resource call successful:") print(response) except Exception as e: print(f"Caught exception during list_tags_for_resource call (expected if ARN is not real): {e}")