mypy-boto3-simspaceweaver

import boto3 from mypy_boto3_simspaceweaver.client import SimSpaceWeaverClient from mypy_boto3_simspaceweaver.type_defs import CreateSpaceInputRequestTypeDef # mypy-boto3-simspaceweaver provides type hints for the boto3 SimSpaceWeaver client. # It does not need to be imported directly for runtime functionality; # simply installing it adds type information to your boto3 usage. # Step 1: Initialize a boto3 client with type hints # This enables IDE autocompletion and static type checking for SimSpaceWeaver operations. client: SimSpaceWeaverClient = boto3.client("simspaceweaver") # Step 2: Use the client (ensure you have AWS credentials configured, e.g., via ~/.aws/credentials) try: # Example: List existing SimSpace Weaver spaces response = client.list_spaces(MaxResults=5) print("Successfully listed SimSpace Weaver spaces:") for space in response.get("Spaces", []): print(f"- {space.get('Name')} (Status: {space.get('Status')})") except Exception as e: print(f"Could not list spaces. Ensure AWS credentials are configured. Error: {e}") # Step 3: Use specific TypeDefs for request/response objects for stricter type checking # This demonstrates type safety for a hypothetical request payload, without making an actual call. hypothetical_create_space_request: CreateSpaceInputRequestTypeDef = { "Name": "MyTestSimSpace", "RoleArn": "arn:aws:iam::123456789012:role/SimSpaceWeaverRole", # Replace with a valid ARN if performing actual calls "Description": "A simulated space for testing.", "MaximumDuration": 3600, "Tags": {"Project": "MyProject"} } print("\nDemonstrating TypeDef for CreateSpaceInputRequestTypeDef:") print(f" Name: {hypothetical_create_space_request['Name']}") print(f" RoleArn: {hypothetical_create_space_request['RoleArn']}") # With mypy-boto3-simspaceweaver installed, a type checker (like mypy) would # flag issues if 'Name' or 'RoleArn' were missing or had incorrect types.