If you specify a tag that doesn't exist, Amazon ML ignores it.
public object Execute(ExecutorContext context) { var cmdletContext = context as CmdletContext; // create request var request = new Amazon.MachineLearning.Model.DeleteTagsRequest(); if (cmdletContext.ResourceId != null) { request.ResourceId = cmdletContext.ResourceId; } if (cmdletContext.ResourceType != null) { request.ResourceType = cmdletContext.ResourceType; } if (cmdletContext.TagKey != null) { request.TagKeys = cmdletContext.TagKey; } 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 DeleteTags operation. /// </summary> /// /// <param name="request">Container for the necessary parameters to execute the DeleteTags 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<DeleteTagsResponse> DeleteTagsAsync(DeleteTagsRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken)) { var marshaller = new DeleteTagsRequestMarshaller(); var unmarshaller = DeleteTagsResponseUnmarshaller.Instance; return InvokeAsync<DeleteTagsRequest,DeleteTagsResponse>(request, marshaller, unmarshaller, cancellationToken); }
/// <summary> /// Deletes the specified tags associated with an ML object. After this operation is complete, /// you can't recover deleted tags. /// /// /// <para> /// If you specify a tag that doesn't exist, Amazon ML ignores it. /// </para> /// </summary> /// <param name="request">Container for the necessary parameters to execute the DeleteTags service method.</param> /// /// <returns>The response from the DeleteTags 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.InvalidTagException"> /// /// </exception> /// <exception cref="Amazon.MachineLearning.Model.ResourceNotFoundException"> /// A specified resource cannot be located. /// </exception> public DeleteTagsResponse DeleteTags(DeleteTagsRequest request) { var marshaller = new DeleteTagsRequestMarshaller(); var unmarshaller = DeleteTagsResponseUnmarshaller.Instance; return Invoke<DeleteTagsRequest,DeleteTagsResponse>(request, marshaller, unmarshaller); }
/// <summary> /// Initiates the asynchronous execution of the DeleteTags operation. /// </summary> /// /// <param name="request">Container for the necessary parameters to execute the DeleteTags 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 EndDeleteTags /// operation.</returns> public IAsyncResult BeginDeleteTags(DeleteTagsRequest request, AsyncCallback callback, object state) { var marshaller = new DeleteTagsRequestMarshaller(); var unmarshaller = DeleteTagsResponseUnmarshaller.Instance; return BeginInvoke<DeleteTagsRequest>(request, marshaller, unmarshaller, callback, state); }
private Amazon.MachineLearning.Model.DeleteTagsResponse CallAWSServiceOperation(IAmazonMachineLearning client, Amazon.MachineLearning.Model.DeleteTagsRequest request) { Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Machine Learning", "DeleteTags"); try { #if DESKTOP return(client.DeleteTags(request)); #elif CORECLR return(client.DeleteTagsAsync(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; } }