/*******************************************************************************
* Copyright 2012-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use
* this file except in compliance with the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file.
* This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the
* specific language governing permissions and limitations under the License.
* *****************************************************************************
*
* AWS Tools for Windows (TM) PowerShell (TM)
*
*/
using System;
using System.Collections.Generic;
using System.Linq;
using System.Management.Automation;
using System.Text;
using Amazon.PowerShell.Common;
using Amazon.Runtime;
using Amazon.SageMaker;
using Amazon.SageMaker.Model;
namespace Amazon.PowerShell.Cmdlets.SM
{
///
/// Updates an inference experiment that you created. The status of the inference experiment
/// has to be either Created
, Running
. For more information
/// on the status of an inference experiment, see DescribeInferenceExperiment.
///
[Cmdlet("Update", "SMInferenceExperiment", SupportsShouldProcess = true, ConfirmImpact = ConfirmImpact.Medium)]
[OutputType("System.String")]
[AWSCmdlet("Calls the Amazon SageMaker Service UpdateInferenceExperiment API operation.", Operation = new[] {"UpdateInferenceExperiment"}, SelectReturnType = typeof(Amazon.SageMaker.Model.UpdateInferenceExperimentResponse))]
[AWSCmdletOutput("System.String or Amazon.SageMaker.Model.UpdateInferenceExperimentResponse",
"This cmdlet returns a System.String object.",
"The service call response (type Amazon.SageMaker.Model.UpdateInferenceExperimentResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack."
)]
public partial class UpdateSMInferenceExperimentCmdlet : AmazonSageMakerClientCmdlet, IExecutor
{
#region Parameter ContentType_CsvContentType
///
///
/// The list of all content type headers that SageMaker will treat as CSV and capture
/// accordingly.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("DataStorageConfig_ContentType_CsvContentTypes")]
public System.String[] ContentType_CsvContentType { get; set; }
#endregion
#region Parameter Description
///
///
/// The description of the inference experiment.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.String Description { get; set; }
#endregion
#region Parameter DataStorageConfig_Destination
///
///
/// The Amazon S3 bucket where the inference request and response data is stored.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.String DataStorageConfig_Destination { get; set; }
#endregion
#region Parameter Schedule_EndTime
///
///
/// The timestamp at which the inference experiment ended or will end.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.DateTime? Schedule_EndTime { get; set; }
#endregion
#region Parameter ContentType_JsonContentType
///
///
/// The list of all content type headers that SageMaker will treat as JSON and capture
/// accordingly.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("DataStorageConfig_ContentType_JsonContentTypes")]
public System.String[] ContentType_JsonContentType { get; set; }
#endregion
#region Parameter DataStorageConfig_KmsKey
///
///
/// The Amazon Web Services Key Management Service key that Amazon SageMaker uses to
/// encrypt captured data at rest using Amazon S3 server-side encryption.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.String DataStorageConfig_KmsKey { get; set; }
#endregion
#region Parameter ModelVariant
///
///
/// An array of ModelVariantConfig
objects. There is one for each variant,
/// whose infrastructure configuration you want to update.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("ModelVariants")]
public Amazon.SageMaker.Model.ModelVariantConfig[] ModelVariant { get; set; }
#endregion
#region Parameter Name
///
///
/// The name of the inference experiment to be updated.
///
///
#if !MODULAR
[System.Management.Automation.Parameter(Position = 0, ValueFromPipelineByPropertyName = true, ValueFromPipeline = true)]
#else
[System.Management.Automation.Parameter(Position = 0, ValueFromPipelineByPropertyName = true, ValueFromPipeline = true, Mandatory = true)]
[System.Management.Automation.AllowEmptyString]
[System.Management.Automation.AllowNull]
#endif
[Amazon.PowerShell.Common.AWSRequiredParameter]
public System.String Name { get; set; }
#endregion
#region Parameter ShadowModeConfig_ShadowModelVariant
///
///
/// List of shadow variant configurations.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("ShadowModeConfig_ShadowModelVariants")]
public Amazon.SageMaker.Model.ShadowModelVariantConfig[] ShadowModeConfig_ShadowModelVariant { get; set; }
#endregion
#region Parameter ShadowModeConfig_SourceModelVariantName
///
///
/// The name of the production variant, which takes all the inference requests.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.String ShadowModeConfig_SourceModelVariantName { get; set; }
#endregion
#region Parameter Schedule_StartTime
///
///
/// The timestamp at which the inference experiment started or will start.
///
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.DateTime? Schedule_StartTime { get; set; }
#endregion
#region Parameter Select
///
/// Use the -Select parameter to control the cmdlet output. The default value is 'InferenceExperimentArn'.
/// Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateInferenceExperimentResponse).
/// Specifying the name of a property of type Amazon.SageMaker.Model.UpdateInferenceExperimentResponse will result in that property being returned.
/// Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public string Select { get; set; } = "InferenceExperimentArn";
#endregion
#region Parameter PassThru
///
/// Changes the cmdlet behavior to return the value passed to the Name parameter.
/// The -PassThru parameter is deprecated, use -Select '^Name' instead. This parameter will be removed in a future version.
///
[System.Obsolete("The -PassThru parameter is deprecated, use -Select '^Name' instead. This parameter will be removed in a future version.")]
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public SwitchParameter PassThru { get; set; }
#endregion
#region Parameter Force
///
/// This parameter overrides confirmation prompts to force
/// the cmdlet to continue its operation. This parameter should always
/// be used with caution.
///
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public SwitchParameter Force { get; set; }
#endregion
protected override void ProcessRecord()
{
this._AWSSignerType = "v4";
base.ProcessRecord();
var resourceIdentifiersText = FormatParameterValuesForConfirmationMsg(nameof(this.Name), MyInvocation.BoundParameters);
if (!ConfirmShouldProceed(this.Force.IsPresent, resourceIdentifiersText, "Update-SMInferenceExperiment (UpdateInferenceExperiment)"))
{
return;
}
var context = new CmdletContext();
// allow for manipulation of parameters prior to loading into context
PreExecutionContextLoad(context);
#pragma warning disable CS0618, CS0612 //A class member was marked with the Obsolete attribute
if (ParameterWasBound(nameof(this.Select)))
{
context.Select = CreateSelectDelegate(Select) ??
throw new System.ArgumentException("Invalid value for -Select parameter.", nameof(this.Select));
if (this.PassThru.IsPresent)
{
throw new System.ArgumentException("-PassThru cannot be used when -Select is specified.", nameof(this.Select));
}
}
else if (this.PassThru.IsPresent)
{
context.Select = (response, cmdlet) => this.Name;
}
#pragma warning restore CS0618, CS0612 //A class member was marked with the Obsolete attribute
if (this.ContentType_CsvContentType != null)
{
context.ContentType_CsvContentType = new List(this.ContentType_CsvContentType);
}
if (this.ContentType_JsonContentType != null)
{
context.ContentType_JsonContentType = new List(this.ContentType_JsonContentType);
}
context.DataStorageConfig_Destination = this.DataStorageConfig_Destination;
context.DataStorageConfig_KmsKey = this.DataStorageConfig_KmsKey;
context.Description = this.Description;
if (this.ModelVariant != null)
{
context.ModelVariant = new List(this.ModelVariant);
}
context.Name = this.Name;
#if MODULAR
if (this.Name == null && ParameterWasBound(nameof(this.Name)))
{
WriteWarning("You are passing $null as a value for parameter Name which is marked as required. In case you believe this parameter was incorrectly marked as required, report this by opening an issue at https://github.com/aws/aws-tools-for-powershell/issues.");
}
#endif
context.Schedule_EndTime = this.Schedule_EndTime;
context.Schedule_StartTime = this.Schedule_StartTime;
if (this.ShadowModeConfig_ShadowModelVariant != null)
{
context.ShadowModeConfig_ShadowModelVariant = new List(this.ShadowModeConfig_ShadowModelVariant);
}
context.ShadowModeConfig_SourceModelVariantName = this.ShadowModeConfig_SourceModelVariantName;
// allow further manipulation of loaded context prior to processing
PostExecutionContextLoad(context);
var output = Execute(context) as CmdletOutput;
ProcessOutput(output);
}
#region IExecutor Members
public object Execute(ExecutorContext context)
{
var cmdletContext = context as CmdletContext;
// create request
var request = new Amazon.SageMaker.Model.UpdateInferenceExperimentRequest();
// populate DataStorageConfig
var requestDataStorageConfigIsNull = true;
request.DataStorageConfig = new Amazon.SageMaker.Model.InferenceExperimentDataStorageConfig();
System.String requestDataStorageConfig_dataStorageConfig_Destination = null;
if (cmdletContext.DataStorageConfig_Destination != null)
{
requestDataStorageConfig_dataStorageConfig_Destination = cmdletContext.DataStorageConfig_Destination;
}
if (requestDataStorageConfig_dataStorageConfig_Destination != null)
{
request.DataStorageConfig.Destination = requestDataStorageConfig_dataStorageConfig_Destination;
requestDataStorageConfigIsNull = false;
}
System.String requestDataStorageConfig_dataStorageConfig_KmsKey = null;
if (cmdletContext.DataStorageConfig_KmsKey != null)
{
requestDataStorageConfig_dataStorageConfig_KmsKey = cmdletContext.DataStorageConfig_KmsKey;
}
if (requestDataStorageConfig_dataStorageConfig_KmsKey != null)
{
request.DataStorageConfig.KmsKey = requestDataStorageConfig_dataStorageConfig_KmsKey;
requestDataStorageConfigIsNull = false;
}
Amazon.SageMaker.Model.CaptureContentTypeHeader requestDataStorageConfig_dataStorageConfig_ContentType = null;
// populate ContentType
var requestDataStorageConfig_dataStorageConfig_ContentTypeIsNull = true;
requestDataStorageConfig_dataStorageConfig_ContentType = new Amazon.SageMaker.Model.CaptureContentTypeHeader();
List requestDataStorageConfig_dataStorageConfig_ContentType_contentType_CsvContentType = null;
if (cmdletContext.ContentType_CsvContentType != null)
{
requestDataStorageConfig_dataStorageConfig_ContentType_contentType_CsvContentType = cmdletContext.ContentType_CsvContentType;
}
if (requestDataStorageConfig_dataStorageConfig_ContentType_contentType_CsvContentType != null)
{
requestDataStorageConfig_dataStorageConfig_ContentType.CsvContentTypes = requestDataStorageConfig_dataStorageConfig_ContentType_contentType_CsvContentType;
requestDataStorageConfig_dataStorageConfig_ContentTypeIsNull = false;
}
List requestDataStorageConfig_dataStorageConfig_ContentType_contentType_JsonContentType = null;
if (cmdletContext.ContentType_JsonContentType != null)
{
requestDataStorageConfig_dataStorageConfig_ContentType_contentType_JsonContentType = cmdletContext.ContentType_JsonContentType;
}
if (requestDataStorageConfig_dataStorageConfig_ContentType_contentType_JsonContentType != null)
{
requestDataStorageConfig_dataStorageConfig_ContentType.JsonContentTypes = requestDataStorageConfig_dataStorageConfig_ContentType_contentType_JsonContentType;
requestDataStorageConfig_dataStorageConfig_ContentTypeIsNull = false;
}
// determine if requestDataStorageConfig_dataStorageConfig_ContentType should be set to null
if (requestDataStorageConfig_dataStorageConfig_ContentTypeIsNull)
{
requestDataStorageConfig_dataStorageConfig_ContentType = null;
}
if (requestDataStorageConfig_dataStorageConfig_ContentType != null)
{
request.DataStorageConfig.ContentType = requestDataStorageConfig_dataStorageConfig_ContentType;
requestDataStorageConfigIsNull = false;
}
// determine if request.DataStorageConfig should be set to null
if (requestDataStorageConfigIsNull)
{
request.DataStorageConfig = null;
}
if (cmdletContext.Description != null)
{
request.Description = cmdletContext.Description;
}
if (cmdletContext.ModelVariant != null)
{
request.ModelVariants = cmdletContext.ModelVariant;
}
if (cmdletContext.Name != null)
{
request.Name = cmdletContext.Name;
}
// populate Schedule
var requestScheduleIsNull = true;
request.Schedule = new Amazon.SageMaker.Model.InferenceExperimentSchedule();
System.DateTime? requestSchedule_schedule_EndTime = null;
if (cmdletContext.Schedule_EndTime != null)
{
requestSchedule_schedule_EndTime = cmdletContext.Schedule_EndTime.Value;
}
if (requestSchedule_schedule_EndTime != null)
{
request.Schedule.EndTime = requestSchedule_schedule_EndTime.Value;
requestScheduleIsNull = false;
}
System.DateTime? requestSchedule_schedule_StartTime = null;
if (cmdletContext.Schedule_StartTime != null)
{
requestSchedule_schedule_StartTime = cmdletContext.Schedule_StartTime.Value;
}
if (requestSchedule_schedule_StartTime != null)
{
request.Schedule.StartTime = requestSchedule_schedule_StartTime.Value;
requestScheduleIsNull = false;
}
// determine if request.Schedule should be set to null
if (requestScheduleIsNull)
{
request.Schedule = null;
}
// populate ShadowModeConfig
var requestShadowModeConfigIsNull = true;
request.ShadowModeConfig = new Amazon.SageMaker.Model.ShadowModeConfig();
List requestShadowModeConfig_shadowModeConfig_ShadowModelVariant = null;
if (cmdletContext.ShadowModeConfig_ShadowModelVariant != null)
{
requestShadowModeConfig_shadowModeConfig_ShadowModelVariant = cmdletContext.ShadowModeConfig_ShadowModelVariant;
}
if (requestShadowModeConfig_shadowModeConfig_ShadowModelVariant != null)
{
request.ShadowModeConfig.ShadowModelVariants = requestShadowModeConfig_shadowModeConfig_ShadowModelVariant;
requestShadowModeConfigIsNull = false;
}
System.String requestShadowModeConfig_shadowModeConfig_SourceModelVariantName = null;
if (cmdletContext.ShadowModeConfig_SourceModelVariantName != null)
{
requestShadowModeConfig_shadowModeConfig_SourceModelVariantName = cmdletContext.ShadowModeConfig_SourceModelVariantName;
}
if (requestShadowModeConfig_shadowModeConfig_SourceModelVariantName != null)
{
request.ShadowModeConfig.SourceModelVariantName = requestShadowModeConfig_shadowModeConfig_SourceModelVariantName;
requestShadowModeConfigIsNull = false;
}
// determine if request.ShadowModeConfig should be set to null
if (requestShadowModeConfigIsNull)
{
request.ShadowModeConfig = null;
}
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;
}
public ExecutorContext CreateContext()
{
return new CmdletContext();
}
#endregion
#region AWS Service Operation Call
private Amazon.SageMaker.Model.UpdateInferenceExperimentResponse CallAWSServiceOperation(IAmazonSageMaker client, Amazon.SageMaker.Model.UpdateInferenceExperimentRequest request)
{
Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon SageMaker Service", "UpdateInferenceExperiment");
try
{
#if DESKTOP
return client.UpdateInferenceExperiment(request);
#elif CORECLR
return client.UpdateInferenceExperimentAsync(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;
}
}
#endregion
internal partial class CmdletContext : ExecutorContext
{
public List ContentType_CsvContentType { get; set; }
public List ContentType_JsonContentType { get; set; }
public System.String DataStorageConfig_Destination { get; set; }
public System.String DataStorageConfig_KmsKey { get; set; }
public System.String Description { get; set; }
public List ModelVariant { get; set; }
public System.String Name { get; set; }
public System.DateTime? Schedule_EndTime { get; set; }
public System.DateTime? Schedule_StartTime { get; set; }
public List ShadowModeConfig_ShadowModelVariant { get; set; }
public System.String ShadowModeConfig_SourceModelVariantName { get; set; }
public System.Func Select { get; set; } =
(response, cmdlet) => response.InferenceExperimentArn;
}
}
}