mypy-boto3-timestream-influxdb

import boto3 from mypy_boto3_timestream_influxdb import TimestreamInfluxDBClient from mypy_boto3_timestream_influxdb.type_defs import CreateInfluxDBInstanceInputRequestTypeDef import os # The actual client is from boto3, mypy-boto3 provides the type hint client: TimestreamInfluxDBClient = boto3.client( "timestream-influxdb", region_name=os.environ.get('AWS_REGION', 'us-east-1') ) # Example of using a typed client method (hypothetical, as actual calls depend on service API) try: # This is a placeholder call, replace with an actual TimestreamInfluxDB operation # to test type hints, e.g., client.list_influx_db_instances() # We'll use a type definition for demonstration. instance_config: CreateInfluxDBInstanceInputRequestTypeDef = { "name": "my-test-instance", "DeploymentType": "SINGLE_INSTANCE", "LogLevel": "INFO", "DbInstanceType": "db.influx.small" } print(f"Example TypeDef: {instance_config}") # You would typically call a client method here, e.g.: # response = client.create_influx_db_instance(**instance_config) # print(response) # Example of a simpler client method call (adjust to actual API) status_response = client.can_do_service_actions() # Placeholder for a simple client method print(f"Service status check (placeholder): {status_response}") except Exception as e: print(f"An error occurred: {e}") print("Note: This quickstart primarily demonstrates type hinting setup. Actual API calls require proper AWS credentials and service specific parameters.")