mypy-boto3-personalize

import boto3 from mypy_boto3_personalize.client import PersonalizeClient # mypy-boto3-personalize provides type hints for the boto3 client. # You still use the standard boto3 client at runtime. # Configure AWS credentials as usual (e.g., ~/.aws/credentials, environment variables) # Instantiate a boto3 client and apply the type hint personalize_client: PersonalizeClient = boto3.client("personalize") print(f"Client type successfully inferred by mypy-boto3-personalize: {type(personalize_client)}") # Example of how type hints are used for method calls (for static analysis). # This code block is for demonstration of type-checking, not intended for live execution # without proper setup and AWS resources. # from mypy_boto3_personalize.type_defs import CreateDatasetRequestRequestTypeDef # try: # # Type checkers like MyPy will ensure 'name', 'datasetGroupArn', etc. are correct types # # and that the return value matches CreateDatasetResponseTypeDef. # create_request: CreateDatasetRequestRequestTypeDef = { # "name": "MyNewDataset", # "datasetGroupArn": "arn:aws:personalize:us-east-1:123456789012:dataset-group/my-group", # "datasetType": "ITEMS", # "schemaArn": "arn:aws:personalize:us-east-1:123456789012:schema/my-schema", # } # response = personalize_client.create_dataset(**create_request) # print(f"Type-checked call example response: {response}") # except Exception as e: # print(f"Example call failed (expected without real AWS setup): {e}")