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from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
from airflow.providers.amazon.aws.operators.sagemaker_base import SageMakerBaseOperator
from airflow.utils.decorators import apply_defaults


class SageMakerModelOperator(SageMakerBaseOperator):
    """
    Create a SageMaker model.

    This operator returns The ARN of the model created in Amazon SageMaker

    :param config: The configuration necessary to create a model.

        For details of the configuration parameter see :py:meth:`SageMaker.Client.create_model`
    :type config: dict
    :param aws_conn_id: The AWS connection ID to use.
    :type aws_conn_id: str
    """

    @apply_defaults
    def __init__(self, *, config, **kwargs):
        super().__init__(config=config, **kwargs)

        self.config = config

    def expand_role(self) -> None:
        if "ExecutionRoleArn" in self.config:
            hook = AwsBaseHook(self.aws_conn_id, client_type="iam")
            self.config["ExecutionRoleArn"] = hook.expand_role(
                self.config["ExecutionRoleArn"]
            )

    def execute(self, context) -> dict:
        self.preprocess_config()

        self.log.info("Creating SageMaker Model %s.", self.config["ModelName"])
        response = self.hook.create_model(self.config)
        if response["ResponseMetadata"]["HTTPStatusCode"] != 200:
            raise AirflowException(f"Sagemaker model creation failed: {response}")
        else:
            return {"Model": self.hook.describe_model(self.config["ModelName"])}