delete_human_loop ¶

delete_human_loop(
    human_loop_name: HumanLoopName,
    *,
    config_overrides: Optional[SageMakerA2IRuntimeClientConfig] = None,
) -> DeleteHumanLoopResponse

Deletes the specified human loop for a flow definition.

If the human loop was deleted, this operation will return a ResourceNotFoundException.

Parameters:

human_loop_name (HumanLoopName) –

The name of the human loop that you want to delete.

Raises:

InternalServerException –

We couldn't process your request because of an issue with the server. Try again later.
ResourceNotFoundException –

We couldn't find the requested resource. Check that your resources exists and were created in the same AWS Region as your request, and try your request again.
ThrottlingException –

You exceeded the maximum number of requests.
ValidationException –

The request isn't valid. Check the syntax and try again.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_sagemaker_a2i_runtime/_services/sage_maker_a2_i_runtime.py

def delete_human_loop(
    self,
    human_loop_name: "capo_sagemaker_a2i_runtime.types.human_loop_name.HumanLoopName",
    *,
    config_overrides: Optional[SageMakerA2IRuntimeClientConfig] = None,
) -> "capo_sagemaker_a2i_runtime.types.delete_human_loop_response.DeleteHumanLoopResponse":
    """<p>Deletes the specified human loop for a flow definition.</p> <p>If the human loop was deleted, this operation will return a <code>ResourceNotFoundException</code>. </p>

    Args:
        human_loop_name: <p>The name of the human loop that you want to delete.</p>

    Raises:
        capo_sagemaker_a2i_runtime.errors.internal_server_exception.InternalServerException: <p>We couldn't process your request because of an issue with the server. Try again later.</p>
        capo_sagemaker_a2i_runtime.errors.resource_not_found_exception.ResourceNotFoundException: <p>We couldn't find the requested resource. Check that your resources exists and were created in the same AWS Region as your request, and try your request again. </p>
        capo_sagemaker_a2i_runtime.errors.throttling_exception.ThrottlingException: <p>You exceeded the maximum number of requests.</p>
        capo_sagemaker_a2i_runtime.errors.validation_exception.ValidationException: <p>The request isn't valid. Check the syntax and try again.</p>
        capo_sagemaker_a2i_runtime.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_sagemaker_a2i_runtime.types.delete_human_loop_request.DeleteHumanLoopRequest]",
    ) -> OperationResponse[
        "capo_sagemaker_a2i_runtime.types.delete_human_loop_response.DeleteHumanLoopResponse"
    ]:
        import capo_sagemaker_a2i_runtime._operations.amazon_sage_maker_a2_i_runtime.delete_human_loop

        output, http_response = (
            capo_sagemaker_a2i_runtime._operations.amazon_sage_maker_a2_i_runtime.delete_human_loop.delete_human_loop(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteHumanLoop")
    )
    input_: capo_sagemaker_a2i_runtime.types.delete_human_loop_request.DeleteHumanLoopRequest = {
        "human_loop_name": human_loop_name
    }

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