mypy-boto3-cognito-sync

from typing import TYPE_CHECKING import boto3 if TYPE_CHECKING: from mypy_boto3_cognito_sync import CognitoSyncClient from mypy_boto3_cognito_sync.type_defs import DatasetTypeDef # Initialize a boto3 session and client session = boto3.session.Session() client: "CognitoSyncClient" = session.client("cognito-sync") # Example: List Identity Pools (Cognito Sync operations often tie to Identity Pools) # Note: Cognito Sync operations are typically tied to specific identities or datasets. # This example is illustrative for client type-checking. try: # Placeholder for actual Cognito Sync operation, as ListIdentityPools is CognitoIdentity # A more realistic CognitoSync operation would be something like list_records # For this example, we'll simulate a call that uses the client. # In a real scenario, you'd provide IdentityPoolId, IdentityId, DatasetName, etc. # For demonstration, we'll use a dummy call that the client can execute. # (Note: CognitoSync doesn't have a simple 'list all' like many services) # A common operation is to list datasets for an identity. identity_pool_id = os.environ.get('COGNITO_IDENTITY_POOL_ID', 'us-east-1:xxxx-xxxx-xxxx') # Dummy ID identity_id = os.environ.get('COGNITO_IDENTITY_ID', 'us-east-1:xxxx-xxxx-xxxx') # Dummy ID response = client.list_datasets( IdentityPoolId=identity_pool_id, IdentityId=identity_id ) print("Datasets:") for dataset in response.get("Datasets", []): # dataset is type-checked as DatasetTypeDef dataset_typed: "DatasetTypeDef" = dataset print(f" Dataset Name: {dataset_typed['DatasetName']}, Num Records: {dataset_typed['NumRecords']}") except client.exceptions.ResourceNotFoundException: print(f"Identity Pool or Identity not found for ID: {identity_pool_id}, {identity_id}") except Exception as e: print(f"An error occurred: {e}")