public object Execute(ExecutorContext context)
{
var cmdletContext = context as CmdletContext;
// create request
var request = new Amazon.MachineLearning.Model.GetDataSourceRequest();
if (cmdletContext.DataSourceId != null)
{
request.DataSourceId = cmdletContext.DataSourceId;
}
if (cmdletContext.VerboseResponse != null)
{
request.Verbose = cmdletContext.VerboseResponse.Value;
}
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);
}
/// <summary>
/// Returns a <code>DataSource</code> that includes metadata and data file information,
/// as well as the current status of the <code>DataSource</code>.
///
///
/// <para>
/// <code>GetDataSource</code> provides results in normal or verbose format. The verbose
/// format adds the schema description and the list of files pointed to by the DataSource
/// to the normal format.
/// </para>
/// </summary>
/// <param name="dataSourceId">The ID assigned to the <code>DataSource</code> at creation.</param>
/// <param name="cancellationToken">
/// A cancellation token that can be used by other objects or threads to receive notice of cancellation.
/// </param>
///
/// <returns>The response from the GetDataSource service method, as returned by MachineLearning.</returns>
/// <exception cref="Amazon.MachineLearning.Model.InternalServerException">
/// An error on the server occurred when trying to process a request.
/// </exception>
/// <exception cref="Amazon.MachineLearning.Model.InvalidInputException">
/// An error on the client occurred. Typically, the cause is an invalid input value.
/// </exception>
/// <exception cref="Amazon.MachineLearning.Model.ResourceNotFoundException">
/// A specified resource cannot be located.
/// </exception>
public Task<GetDataSourceResponse> GetDataSourceAsync(string dataSourceId, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
{
var request = new GetDataSourceRequest();
request.DataSourceId = dataSourceId;
return GetDataSourceAsync(request, cancellationToken);
}
internal GetDataSourceResponse GetDataSource(GetDataSourceRequest request)
{
var marshaller = new GetDataSourceRequestMarshaller();
var unmarshaller = GetDataSourceResponseUnmarshaller.Instance;
return Invoke<GetDataSourceRequest,GetDataSourceResponse>(request, marshaller, unmarshaller);
}
/// <summary>
/// Initiates the asynchronous execution of the GetDataSource operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the GetDataSource 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<GetDataSourceResponse> GetDataSourceAsync(GetDataSourceRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
{
var marshaller = new GetDataSourceRequestMarshaller();
var unmarshaller = GetDataSourceResponseUnmarshaller.Instance;
return InvokeAsync<GetDataSourceRequest,GetDataSourceResponse>(request, marshaller,
unmarshaller, cancellationToken);
}
/// <summary>
/// Returns a <code>DataSource</code> that includes metadata and data file information,
/// as well as the current status of the <code>DataSource</code>.
///
///
/// <para>
/// <code>GetDataSource</code> provides results in normal or verbose format. The verbose
/// format adds the schema description and the list of files pointed to by the DataSource
/// to the normal format.
/// </para>
/// </summary>
/// <param name="dataSourceId">The ID assigned to the <code>DataSource</code> at creation.</param>
/// <param name="verbose">Specifies whether the <code>GetDataSource</code> operation should return <code>DataSourceSchema</code>. If true, <code>DataSourceSchema</code> is returned. If false, <code>DataSourceSchema</code> is not returned.</param>
///
/// <returns>The response from the GetDataSource service method, as returned by MachineLearning.</returns>
/// <exception cref="Amazon.MachineLearning.Model.InternalServerException">
/// An error on the server occurred when trying to process a request.
/// </exception>
/// <exception cref="Amazon.MachineLearning.Model.InvalidInputException">
/// An error on the client occurred. Typically, the cause is an invalid input value.
/// </exception>
/// <exception cref="Amazon.MachineLearning.Model.ResourceNotFoundException">
/// A specified resource cannot be located.
/// </exception>
public GetDataSourceResponse GetDataSource(string dataSourceId, bool verbose)
{
var request = new GetDataSourceRequest();
request.DataSourceId = dataSourceId;
request.Verbose = verbose;
return GetDataSource(request);
}
/// <summary>
/// Returns a <code>DataSource</code> that includes metadata and data file information,
/// as well as the current status of the <code>DataSource</code>.
///
///
/// <para>
/// <code>GetDataSource</code> provides results in normal or verbose format. The verbose
/// format adds the schema description and the list of files pointed to by the DataSource
/// to the normal format.
/// </para>
/// </summary>
/// <param name="dataSourceId">The ID assigned to the <code>DataSource</code> at creation.</param>
///
/// <returns>The response from the GetDataSource service method, as returned by MachineLearning.</returns>
/// <exception cref="Amazon.MachineLearning.Model.InternalServerException">
/// An error on the server occurred when trying to process a request.
/// </exception>
/// <exception cref="Amazon.MachineLearning.Model.InvalidInputException">
/// An error on the client occurred. Typically, the cause is an invalid input value.
/// </exception>
/// <exception cref="Amazon.MachineLearning.Model.ResourceNotFoundException">
/// A specified resource cannot be located.
/// </exception>
public GetDataSourceResponse GetDataSource(string dataSourceId)
{
var request = new GetDataSourceRequest();
request.DataSourceId = dataSourceId;
return GetDataSource(request);
}
/// <summary>
/// Initiates the asynchronous execution of the GetDataSource operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the GetDataSource 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 EndGetDataSource
/// operation.</returns>
public IAsyncResult BeginGetDataSource(GetDataSourceRequest request, AsyncCallback callback, object state)
{
var marshaller = new GetDataSourceRequestMarshaller();
var unmarshaller = GetDataSourceResponseUnmarshaller.Instance;
return BeginInvoke<GetDataSourceRequest>(request, marshaller, unmarshaller,
callback, state);
}
private Amazon.MachineLearning.Model.GetDataSourceResponse CallAWSServiceOperation(IAmazonMachineLearning client, Amazon.MachineLearning.Model.GetDataSourceRequest request)
{
Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Machine Learning", "GetDataSource");
try
{
#if DESKTOP
return(client.GetDataSource(request));
#elif CORECLR
return(client.GetDataSourceAsync(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;
}
}