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


class SageMakerEndpointConfigOperator(SageMakerBaseOperator):
    """
    Create a SageMaker endpoint config.

    This operator returns The ARN of the endpoint config created in Amazon SageMaker

    :param config: The configuration necessary to create an endpoint config.

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

    integer_fields = [["ProductionVariants", "InitialInstanceCount"]]

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

        self.config = config

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

        self.log.info(
            "Creating SageMaker Endpoint Config %s.", self.config["EndpointConfigName"]
        )
        response = self.hook.create_endpoint_config(self.config)
        if response["ResponseMetadata"]["HTTPStatusCode"] != 200:
            raise AirflowException(
                f"Sagemaker endpoint config creation failed: {response}"
            )
        else:
            return {
                "EndpointConfig": self.hook.describe_endpoint_config(
                    self.config["EndpointConfigName"]
                )
            }