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; } }