describe_algorithm ¶

def describe_algorithm(
    self,
    algorithm_arn: "capo_personalize.types.arn.Arn",
    *,
    config_overrides: Optional[PersonalizeClientConfig] = None,
) -> "capo_personalize.types.describe_algorithm_response.DescribeAlgorithmResponse":
    """<p>Describes the given algorithm.</p>

    Args:
        algorithm_arn: <p>The Amazon Resource Name (ARN) of the algorithm to describe.</p>

    Raises:
        capo_personalize.errors.invalid_input_exception.InvalidInputException: <p>Provide a valid value for the field or parameter.</p>
        capo_personalize.errors.resource_not_found_exception.ResourceNotFoundException: <p>Could not find the specified resource.</p>
        capo_personalize.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_personalize.types.describe_algorithm_request.DescribeAlgorithmRequest]",
    ) -> OperationResponse[
        "capo_personalize.types.describe_algorithm_response.DescribeAlgorithmResponse"
    ]:
        import capo_personalize._operations.amazon_personalize.describe_algorithm

        output, http_response = (
            capo_personalize._operations.amazon_personalize.describe_algorithm.describe_algorithm(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeAlgorithm")
    )
    input_: capo_personalize.types.describe_algorithm_request.DescribeAlgorithmRequest = {
        "algorithm_arn": algorithm_arn
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output