Ejemplo n.º 1
0
        public object Execute(ExecutorContext context)
        {
            var cmdletContext = context as CmdletContext;
            // create request
            var request = new Amazon.MachineLearning.Model.DeleteMLModelRequest();

            if (cmdletContext.MLModelId != null)
            {
                request.MLModelId = cmdletContext.MLModelId;
            }

            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>
        /// Initiates the asynchronous execution of the DeleteMLModel operation.
        /// </summary>
        /// 
        /// <param name="request">Container for the necessary parameters to execute the DeleteMLModel 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<DeleteMLModelResponse> DeleteMLModelAsync(DeleteMLModelRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
        {
            var marshaller = new DeleteMLModelRequestMarshaller();
            var unmarshaller = DeleteMLModelResponseUnmarshaller.Instance;

            return InvokeAsync<DeleteMLModelRequest,DeleteMLModelResponse>(request, marshaller, 
                unmarshaller, cancellationToken);
        }
 /// <summary>
 /// Assigns the DELETED status to an <code>MLModel</code>, rendering it unusable.
 /// 
 ///  
 /// <para>
 /// After using the <code>DeleteMLModel</code> operation, you can use the <a>GetMLModel</a>
 /// operation to verify that the status of the <code>MLModel</code> changed to DELETED.
 /// </para>
 ///  <caution><title>Caution</title> 
 /// <para>
 /// The result of the <code>DeleteMLModel</code> operation is irreversible.
 /// </para>
 /// </caution>
 /// </summary>
 /// <param name="mlModelId">A user-supplied ID that uniquely identifies the <code>MLModel</code>.</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 DeleteMLModel 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<DeleteMLModelResponse> DeleteMLModelAsync(string mlModelId, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
 {
     var request = new DeleteMLModelRequest();
     request.MLModelId = mlModelId;
     return DeleteMLModelAsync(request, cancellationToken);
 }
        internal DeleteMLModelResponse DeleteMLModel(DeleteMLModelRequest request)
        {
            var marshaller = new DeleteMLModelRequestMarshaller();
            var unmarshaller = DeleteMLModelResponseUnmarshaller.Instance;

            return Invoke<DeleteMLModelRequest,DeleteMLModelResponse>(request, marshaller, unmarshaller);
        }
Ejemplo n.º 5
0
 /// <summary>
 /// Assigns the <code>DELETED</code> status to an <code>MLModel</code>, rendering it unusable.
 /// 
 ///  
 /// <para>
 /// After using the <code>DeleteMLModel</code> operation, you can use the <code>GetMLModel</code>
 /// operation to verify that the status of the <code>MLModel</code> changed to DELETED.
 /// </para>
 ///  
 /// <para>
 /// <b>Caution:</b> The result of the <code>DeleteMLModel</code> operation is irreversible.
 /// </para>
 /// </summary>
 /// <param name="mlModelId">A user-supplied ID that uniquely identifies the <code>MLModel</code>.</param>
 /// 
 /// <returns>The response from the DeleteMLModel 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 DeleteMLModelResponse DeleteMLModel(string mlModelId)
 {
     var request = new DeleteMLModelRequest();
     request.MLModelId = mlModelId;
     return DeleteMLModel(request);
 }
        /// <summary>
        /// Initiates the asynchronous execution of the DeleteMLModel operation.
        /// </summary>
        /// 
        /// <param name="request">Container for the necessary parameters to execute the DeleteMLModel 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 EndDeleteMLModel
        ///         operation.</returns>
        public IAsyncResult BeginDeleteMLModel(DeleteMLModelRequest request, AsyncCallback callback, object state)
        {
            var marshaller = new DeleteMLModelRequestMarshaller();
            var unmarshaller = DeleteMLModelResponseUnmarshaller.Instance;

            return BeginInvoke<DeleteMLModelRequest>(request, marshaller, unmarshaller,
                callback, state);
        }
Ejemplo n.º 7
0
 private Amazon.MachineLearning.Model.DeleteMLModelResponse CallAWSServiceOperation(IAmazonMachineLearning client, Amazon.MachineLearning.Model.DeleteMLModelRequest request)
 {
     Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Machine Learning", "DeleteMLModel");
     try
     {
         #if DESKTOP
         return(client.DeleteMLModel(request));
         #elif CORECLR
         return(client.DeleteMLModelAsync(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;
     }
 }