/// <summary> /// Paginator for ListAlgorithms operation ///</summary> public IListAlgorithmsPaginator ListAlgorithms(ListAlgorithmsRequest request) { return(new ListAlgorithmsPaginator(this.client, request)); }
internal ListAlgorithmsPaginator(IAmazonSageMaker client, ListAlgorithmsRequest request) { this._client = client; this._request = request; }
public object Execute(ExecutorContext context) { var cmdletContext = context as CmdletContext; var useParameterSelect = this.Select.StartsWith("^") || this.PassThru.IsPresent; // create request and set iteration invariants var request = new Amazon.SageMaker.Model.ListAlgorithmsRequest(); if (cmdletContext.CreationTimeAfter != null) { request.CreationTimeAfter = cmdletContext.CreationTimeAfter.Value; } if (cmdletContext.CreationTimeBefore != null) { request.CreationTimeBefore = cmdletContext.CreationTimeBefore.Value; } if (cmdletContext.NameContain != null) { request.NameContains = cmdletContext.NameContain; } if (cmdletContext.SortBy != null) { request.SortBy = cmdletContext.SortBy; } if (cmdletContext.SortOrder != null) { request.SortOrder = cmdletContext.SortOrder; } // Initialize loop variants and commence piping System.String _nextToken = null; int? _emitLimit = null; int _retrievedSoFar = 0; if (AutoIterationHelpers.HasValue(cmdletContext.NextToken)) { _nextToken = cmdletContext.NextToken; } if (cmdletContext.MaxResult.HasValue) { // The service has a maximum page size of 100. If the user has // asked for more items than page max, and there is no page size // configured, we rely on the service ignoring the set maximum // and giving us 100 items back. If a page size is set, that will // be used to configure the pagination. // We'll make further calls to satisfy the user's request. _emitLimit = cmdletContext.MaxResult; } var _userControllingPaging = this.NoAutoIteration.IsPresent || ParameterWasBound(nameof(this.NextToken)); var client = Client ?? CreateClient(_CurrentCredentials, _RegionEndpoint); do { request.NextToken = _nextToken; if (_emitLimit.HasValue) { int correctPageSize = Math.Min(100, _emitLimit.Value); request.MaxResults = AutoIterationHelpers.ConvertEmitLimitToInt32(correctPageSize); } else if (!ParameterWasBound(nameof(this.MaxResult))) { request.MaxResults = AutoIterationHelpers.ConvertEmitLimitToInt32(100); } CmdletOutput output; try { var response = CallAWSServiceOperation(client, request); object pipelineOutput = null; if (!useParameterSelect) { pipelineOutput = cmdletContext.Select(response, this); } output = new CmdletOutput { PipelineOutput = pipelineOutput, ServiceResponse = response }; int _receivedThisCall = response.AlgorithmSummaryList.Count; _nextToken = response.NextToken; _retrievedSoFar += _receivedThisCall; if (_emitLimit.HasValue) { _emitLimit -= _receivedThisCall; } } catch (Exception e) { if (_retrievedSoFar == 0 || !_emitLimit.HasValue) { output = new CmdletOutput { ErrorResponse = e }; } else { break; } } ProcessOutput(output); } while (!_userControllingPaging && AutoIterationHelpers.HasValue(_nextToken) && (!_emitLimit.HasValue || _emitLimit.Value >= 1)); if (useParameterSelect) { WriteObject(cmdletContext.Select(null, this)); } return(null); }
private Amazon.SageMaker.Model.ListAlgorithmsResponse CallAWSServiceOperation(IAmazonSageMaker client, Amazon.SageMaker.Model.ListAlgorithmsRequest request) { Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon SageMaker Service", "ListAlgorithms"); try { #if DESKTOP return(client.ListAlgorithms(request)); #elif CORECLR return(client.ListAlgorithmsAsync(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; } }
public object Execute(ExecutorContext context) { var cmdletContext = context as CmdletContext; #pragma warning disable CS0618, CS0612 //A class member was marked with the Obsolete attribute var useParameterSelect = this.Select.StartsWith("^") || this.PassThru.IsPresent; #pragma warning restore CS0618, CS0612 //A class member was marked with the Obsolete attribute // create request and set iteration invariants var request = new Amazon.SageMaker.Model.ListAlgorithmsRequest(); if (cmdletContext.CreationTimeAfter != null) { request.CreationTimeAfter = cmdletContext.CreationTimeAfter.Value; } if (cmdletContext.CreationTimeBefore != null) { request.CreationTimeBefore = cmdletContext.CreationTimeBefore.Value; } if (cmdletContext.MaxResult != null) { request.MaxResults = AutoIterationHelpers.ConvertEmitLimitToServiceTypeInt32(cmdletContext.MaxResult.Value); } if (cmdletContext.NameContain != null) { request.NameContains = cmdletContext.NameContain; } if (cmdletContext.SortBy != null) { request.SortBy = cmdletContext.SortBy; } if (cmdletContext.SortOrder != null) { request.SortOrder = cmdletContext.SortOrder; } // Initialize loop variant and commence piping var _nextToken = cmdletContext.NextToken; var _userControllingPaging = this.NoAutoIteration.IsPresent || ParameterWasBound(nameof(this.NextToken)); var client = Client ?? CreateClient(_CurrentCredentials, _RegionEndpoint); do { request.NextToken = _nextToken; CmdletOutput output; try { var response = CallAWSServiceOperation(client, request); object pipelineOutput = null; if (!useParameterSelect) { pipelineOutput = cmdletContext.Select(response, this); } output = new CmdletOutput { PipelineOutput = pipelineOutput, ServiceResponse = response }; _nextToken = response.NextToken; } catch (Exception e) { output = new CmdletOutput { ErrorResponse = e }; } ProcessOutput(output); } while (!_userControllingPaging && AutoIterationHelpers.HasValue(_nextToken)); if (useParameterSelect) { WriteObject(cmdletContext.Select(null, this)); } return(null); }