mypy-boto3-pca-connector-ad

import os from typing import TYPE_CHECKING import boto3 from mypy_boto3_pca_connector_ad.client import PcaConnectorAdClient from mypy_boto3_pca_connector_ad.type_defs import ListConnectorsResponseTypeDef # The TYPE_CHECKING block is for type checkers and won't be executed at runtime. # It's good practice for clarity and compatibility with various tooling setups. if TYPE_CHECKING: pass def list_pca_connectors() -> None: # Initialize a boto3 session. Credentials and region are typically loaded # from environment variables, ~/.aws/credentials, or IAM roles. # For a runnable example, we use dummy values if env vars are not set. session = boto3.Session( region_name=os.environ.get("AWS_REGION", "us-east-1"), aws_access_key_id=os.environ.get("AWS_ACCESS_KEY_ID", "DUMMY_KEY"), aws_secret_access_key=os.environ.get("AWS_SECRET_ACCESS_KEY", "DUMMY_SECRET"), ) # Explicit type annotation for the client enhances autocompletion and static analysis client: PcaConnectorAdClient = session.client("pca-connector-ad") print("Attempting to list PCA Connectors...") try: # The response type is inferred by mypy-boto3-pca-connector-ad response: ListConnectorsResponseTypeDef = client.list_connectors() connectors = response.get('Connectors', []) print(f"Found {len(connectors)} connectors.") for connector in connectors: print(f" - Connector ARN: {connector.get('Arn')}") print(f" Type: {connector.get('Type')}, Status: {connector.get('Status')}") except Exception as e: print(f"Error listing connectors: {e}") print("This is expected if AWS credentials or permissions are not configured correctly.") if __name__ == "__main__": list_pca_connectors()