/// <summary>
/// Initiates the asynchronous execution of the CreateDataSourceFromS3 operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the CreateDataSourceFromS3 operation.</param>
/// <param name="cancellationToken">
/// A cancellation token that can be used by other objects or threads to receive notice of cancellation.
/// </param>
/// <returns>The task object representing the asynchronous operation.</returns>
public Task<CreateDataSourceFromS3Response> CreateDataSourceFromS3Async(CreateDataSourceFromS3Request request, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
{
var marshaller = new CreateDataSourceFromS3RequestMarshaller();
var unmarshaller = CreateDataSourceFromS3ResponseUnmarshaller.Instance;
return InvokeAsync<CreateDataSourceFromS3Request,CreateDataSourceFromS3Response>(request, marshaller,
unmarshaller, cancellationToken);
}
internal CreateDataSourceFromS3Response CreateDataSourceFromS3(CreateDataSourceFromS3Request request)
{
var marshaller = new CreateDataSourceFromS3RequestMarshaller();
var unmarshaller = CreateDataSourceFromS3ResponseUnmarshaller.Instance;
return Invoke<CreateDataSourceFromS3Request,CreateDataSourceFromS3Response>(request, marshaller, unmarshaller);
}
public object Execute(ExecutorContext context)
{
var cmdletContext = context as CmdletContext;
// create request
var request = new Amazon.MachineLearning.Model.CreateDataSourceFromS3Request();
if (cmdletContext.ComputeStatistic != null)
{
request.ComputeStatistics = cmdletContext.ComputeStatistic.Value;
}
if (cmdletContext.DataSourceId != null)
{
request.DataSourceId = cmdletContext.DataSourceId;
}
if (cmdletContext.DataSourceName != null)
{
request.DataSourceName = cmdletContext.DataSourceName;
}
// populate DataSpec
var requestDataSpecIsNull = true;
request.DataSpec = new Amazon.MachineLearning.Model.S3DataSpec();
System.String requestDataSpec_dataSpec_DataLocationS3 = null;
if (cmdletContext.DataSpec_DataLocationS3 != null)
{
requestDataSpec_dataSpec_DataLocationS3 = cmdletContext.DataSpec_DataLocationS3;
}
if (requestDataSpec_dataSpec_DataLocationS3 != null)
{
request.DataSpec.DataLocationS3 = requestDataSpec_dataSpec_DataLocationS3;
requestDataSpecIsNull = false;
}
System.String requestDataSpec_dataSpec_DataRearrangement = null;
if (cmdletContext.DataSpec_DataRearrangement != null)
{
requestDataSpec_dataSpec_DataRearrangement = cmdletContext.DataSpec_DataRearrangement;
}
if (requestDataSpec_dataSpec_DataRearrangement != null)
{
request.DataSpec.DataRearrangement = requestDataSpec_dataSpec_DataRearrangement;
requestDataSpecIsNull = false;
}
System.String requestDataSpec_dataSpec_DataSchema = null;
if (cmdletContext.DataSpec_DataSchema != null)
{
requestDataSpec_dataSpec_DataSchema = cmdletContext.DataSpec_DataSchema;
}
if (requestDataSpec_dataSpec_DataSchema != null)
{
request.DataSpec.DataSchema = requestDataSpec_dataSpec_DataSchema;
requestDataSpecIsNull = false;
}
System.String requestDataSpec_dataSpec_DataSchemaLocationS3 = null;
if (cmdletContext.DataSpec_DataSchemaLocationS3 != null)
{
requestDataSpec_dataSpec_DataSchemaLocationS3 = cmdletContext.DataSpec_DataSchemaLocationS3;
}
if (requestDataSpec_dataSpec_DataSchemaLocationS3 != null)
{
request.DataSpec.DataSchemaLocationS3 = requestDataSpec_dataSpec_DataSchemaLocationS3;
requestDataSpecIsNull = false;
}
// determine if request.DataSpec should be set to null
if (requestDataSpecIsNull)
{
request.DataSpec = null;
}
CmdletOutput output;
// issue call
var client = Client ?? CreateClient(_CurrentCredentials, _RegionEndpoint);
try
{
var response = CallAWSServiceOperation(client, request);
object pipelineOutput = null;
pipelineOutput = cmdletContext.Select(response, this);
output = new CmdletOutput
{
PipelineOutput = pipelineOutput,
ServiceResponse = response
};
}
catch (Exception e)
{
output = new CmdletOutput {
ErrorResponse = e
};
}
return(output);
}
private Amazon.MachineLearning.Model.CreateDataSourceFromS3Response CallAWSServiceOperation(IAmazonMachineLearning client, Amazon.MachineLearning.Model.CreateDataSourceFromS3Request request)
{
Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Machine Learning", "CreateDataSourceFromS3");
try
{
#if DESKTOP
return(client.CreateDataSourceFromS3(request));
#elif CORECLR
return(client.CreateDataSourceFromS3Async(request).GetAwaiter().GetResult());
#else
#error "Unknown build edition"
#endif
}
catch (AmazonServiceException exc)
{
var webException = exc.InnerException as System.Net.WebException;
if (webException != null)
{
throw new Exception(Utils.Common.FormatNameResolutionFailureMessage(client.Config, webException.Message), webException);
}
throw;
}
}
/// <summary>
/// Initiates the asynchronous execution of the CreateDataSourceFromS3 operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the CreateDataSourceFromS3 operation on AmazonMachineLearningClient.</param>
/// <param name="callback">An AsyncCallback delegate that is invoked when the operation completes.</param>
/// <param name="state">A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback
/// procedure using the AsyncState property.</param>
///
/// <returns>An IAsyncResult that can be used to poll or wait for results, or both; this value is also needed when invoking EndCreateDataSourceFromS3
/// operation.</returns>
public IAsyncResult BeginCreateDataSourceFromS3(CreateDataSourceFromS3Request request, AsyncCallback callback, object state)
{
var marshaller = new CreateDataSourceFromS3RequestMarshaller();
var unmarshaller = CreateDataSourceFromS3ResponseUnmarshaller.Instance;
return BeginInvoke<CreateDataSourceFromS3Request>(request, marshaller, unmarshaller,
callback, state);
}
