/// <summary>
/// Paginator for ListCandidatesForAutoMLJob operation
///</summary>
public IListCandidatesForAutoMLJobPaginator ListCandidatesForAutoMLJob(ListCandidatesForAutoMLJobRequest request)
{
return(new ListCandidatesForAutoMLJobPaginator(this.client, request));
}
internal ListCandidatesForAutoMLJobPaginator(IAmazonSageMaker client, ListCandidatesForAutoMLJobRequest 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.ListCandidatesForAutoMLJobRequest();
if (cmdletContext.AutoMLJobName != null)
{
request.AutoMLJobName = cmdletContext.AutoMLJobName;
}
if (cmdletContext.CandidateNameEqual != null)
{
request.CandidateNameEquals = cmdletContext.CandidateNameEqual;
}
if (cmdletContext.SortBy != null)
{
request.SortBy = cmdletContext.SortBy;
}
if (cmdletContext.SortOrder != null)
{
request.SortOrder = cmdletContext.SortOrder;
}
if (cmdletContext.StatusEqual != null)
{
request.StatusEquals = cmdletContext.StatusEqual;
}
// 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.Candidates.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.ListCandidatesForAutoMLJobResponse CallAWSServiceOperation(IAmazonSageMaker client, Amazon.SageMaker.Model.ListCandidatesForAutoMLJobRequest request)
{
Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon SageMaker Service", "ListCandidatesForAutoMLJob");
try
{
#if DESKTOP
return(client.ListCandidatesForAutoMLJob(request));
#elif CORECLR
return(client.ListCandidatesForAutoMLJobAsync(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.ListCandidatesForAutoMLJobRequest();
if (cmdletContext.AutoMLJobName != null)
{
request.AutoMLJobName = cmdletContext.AutoMLJobName;
}
if (cmdletContext.CandidateNameEqual != null)
{
request.CandidateNameEquals = cmdletContext.CandidateNameEqual;
}
if (cmdletContext.MaxResult != null)
{
request.MaxResults = AutoIterationHelpers.ConvertEmitLimitToServiceTypeInt32(cmdletContext.MaxResult.Value);
}
if (cmdletContext.SortBy != null)
{
request.SortBy = cmdletContext.SortBy;
}
if (cmdletContext.SortOrder != null)
{
request.SortOrder = cmdletContext.SortOrder;
}
if (cmdletContext.StatusEqual != null)
{
request.StatusEquals = cmdletContext.StatusEqual;
}
// 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);
}