mypy-boto3-rtbfabric

import boto3 from mypy_boto3_rtbfabric import RTBFabricClient from mypy_boto3_rtbfabric.type_defs import ResponseMetadataTypeDef # Using a common base TypeDef for demo # Initialize the boto3 client with type hints # The 'rtbfabric' service might be an internal or less common AWS service. # Replace with your actual service details and methods if available. client: RTBFabricClient = boto3.client("rtbfabric") # Call a hypothetical API method and type-hint its response. # This demonstrates how type stubs enable static analysis for your boto3 calls. print("Attempting to call a hypothetical RTBFabric method (e.g., list_profiles)...") try: # Actual method names and TypeDefs depend on the RTBFabric service API. # Using get_paginator('list_profiles') as a plausible example of stub interaction. paginator = client.get_paginator("list_profiles") # The paginate() method typically returns a generator of response dicts. # For simplicity, we'll just demonstrate the client's type-hinted methods. response_meta: ResponseMetadataTypeDef = client.list_tags_for_resource(ResourceArn="dummy-arn")["ResponseMetadata"] print(f"Successfully interacted with RTBFabric client. Status Code: {response_meta['HTTPStatusCode']}") except client.exceptions.RTBFabricException as e: print(f"RTBFabric specific exception caught: {e} (Expected if service is not configured or method is unknown).") except Exception as e: print(f"Generic exception caught: {e} (Expected if service or method is unavailable).") print("\nClient methods available (demonstration of type-hinted access):") # dir(client) will show many methods, demonstrating the stubs are active print(f"Client methods (first 5): {dir(client)[10:15]}")