Cómo utilizar DescribePipelineExecution con un AWS SDK

    /// <summary>
    /// Check the status of a run.
    /// </summary>
    /// <param name="pipelineExecutionArn">The ARN.</param>
    /// <returns>The status of the pipeline.</returns>
    public async Task<PipelineExecutionStatus> CheckPipelineExecutionStatus(string pipelineExecutionArn)
    {
        var describeResponse = await _amazonSageMaker.DescribePipelineExecutionAsync(
            new DescribePipelineExecutionRequest()
            {
                PipelineExecutionArn = pipelineExecutionArn
            });

        return describeResponse.PipelineExecutionStatus;
    }

    // Check the status of a pipeline execution.
    public static void waitForPipelineExecution(SageMakerClient sageMakerClient, String executionArn)
            throws InterruptedException {
        String status;
        int index = 0;
        do {
            DescribePipelineExecutionRequest pipelineExecutionRequest = DescribePipelineExecutionRequest.builder()
                    .pipelineExecutionArn(executionArn)
                    .build();

            DescribePipelineExecutionResponse response = sageMakerClient
                    .describePipelineExecution(pipelineExecutionRequest);
            status = response.pipelineExecutionStatusAsString();
            System.out.println(index + ". The Status of the pipeline is " + status);
            TimeUnit.SECONDS.sleep(4);
            index++;
        } while ("Executing".equals(status));
        System.out.println("Pipeline finished with status " + status);
    }

Esperar a que la ejecución de una canalización de SageMaker AI se realice correctamente, falle o se detenga.

/**
 * Poll the executing pipeline until the status is 'SUCCEEDED', 'STOPPED', or 'FAILED'.
 * @param {{ arn: string, sagemakerClient: import('@aws-sdk/client-sagemaker').SageMakerClient, wait: (ms: number) => Promise<void>}} props
 */
export async function waitForPipelineComplete({ arn, sagemakerClient, wait }) {
  const command = new DescribePipelineExecutionCommand({
    PipelineExecutionArn: arn,
  });

  let complete = false;
  const intervalInSeconds = 15;
  const COMPLETION_STATUSES = [
    PipelineExecutionStatus.FAILED,
    PipelineExecutionStatus.STOPPED,
    PipelineExecutionStatus.SUCCEEDED,
  ];

  do {
    const { PipelineExecutionStatus: status, FailureReason } =
      await sagemakerClient.send(command);

    complete = COMPLETION_STATUSES.includes(status);

    if (!complete) {
      console.log(
        `Pipeline is ${status}. Waiting ${intervalInSeconds} seconds before checking again.`,
      );
      await wait(intervalInSeconds);
    } else if (status === PipelineExecutionStatus.FAILED) {
      throw new Error(`Pipeline failed because: ${FailureReason}`);
    } else if (status === PipelineExecutionStatus.STOPPED) {
      throw new Error("Pipeline was forcefully stopped.");
    } else {
      console.log(`Pipeline execution ${status}.`);
    }
  } while (!complete);
}

suspend fun waitForPipelineExecution(executionArn: String?) {
    var status: String
    var index = 0
    do {
        val pipelineExecutionRequest = DescribePipelineExecutionRequest {
            pipelineExecutionArn = executionArn
        }

        SageMakerClient { region = "us-west-2" }.use { sageMakerClient ->
            val response = sageMakerClient.describePipelineExecution(pipelineExecutionRequest)
            status = response.pipelineExecutionStatus.toString()
            println("$index. The status of the pipeline is $status")
            TimeUnit.SECONDS.sleep(4)
            index++
        }
    } while ("Executing" == status)
    println("Pipeline finished with status $status")
}