/*******************************************************************************
* 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
{
/// <summary>
/// Starts a recommendation job. You can create either an instance recommendation or load
/// test job.
/// </summary>
[Cmdlet("New", "SMInferenceRecommendationsJob", SupportsShouldProcess = true, ConfirmImpact = ConfirmImpact.Medium)]
[OutputType("System.String")]
[AWSCmdlet("Calls the Amazon SageMaker Service CreateInferenceRecommendationsJob API operation.", Operation = new[] {"CreateInferenceRecommendationsJob"}, SelectReturnType = typeof(Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse))]
[AWSCmdletOutput("System.String or Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse",
"This cmdlet returns a System.String object.",
"The service call response (type Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack."
)]
public partial class NewSMInferenceRecommendationsJobCmdlet : AmazonSageMakerClientCmdlet, IExecutor
{
#region Parameter ContainerConfig_DataInputConfig
/// <summary>
/// <para>
/// <para>Specifies the name and shape of the expected data inputs for your trained model with
/// a JSON dictionary form. This field is used for optimizing your model using SageMaker
/// Neo. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InputConfig.html#sagemaker-Type-InputConfig-DataInputConfig">DataInputConfig</a>.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_DataInputConfig")]
public System.String ContainerConfig_DataInputConfig { get; set; }
#endregion
#region Parameter ContainerConfig_Domain
/// <summary>
/// <para>
/// <para>The machine learning domain of the model and its components.</para><para>Valid Values: <code>COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING</code></para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_Domain")]
public System.String ContainerConfig_Domain { get; set; }
#endregion
#region Parameter InputConfig_EndpointConfiguration
/// <summary>
/// <para>
/// <para>Specifies the endpoint configuration to use for a job.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_EndpointConfigurations")]
public Amazon.SageMaker.Model.EndpointInputConfiguration[] InputConfig_EndpointConfiguration { get; set; }
#endregion
#region Parameter InputConfig_Endpoint
/// <summary>
/// <para>
/// <para>Existing customer endpoints on which to run an Inference Recommender job.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_Endpoints")]
public Amazon.SageMaker.Model.EndpointInfo[] InputConfig_Endpoint { get; set; }
#endregion
#region Parameter ContainerConfig_Framework
/// <summary>
/// <para>
/// <para>The machine learning framework of the container image.</para><para>Valid Values: <code>TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN</code></para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_Framework")]
public System.String ContainerConfig_Framework { get; set; }
#endregion
#region Parameter ContainerConfig_FrameworkVersion
/// <summary>
/// <para>
/// <para>The framework version of the container image.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_FrameworkVersion")]
public System.String ContainerConfig_FrameworkVersion { get; set; }
#endregion
#region Parameter JobDescription
/// <summary>
/// <para>
/// <para>Description of the recommendation job.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.String JobDescription { get; set; }
#endregion
#region Parameter InputConfig_JobDurationInSecond
/// <summary>
/// <para>
/// <para>Specifies the maximum duration of the job, in seconds.></para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_JobDurationInSeconds")]
public System.Int32? InputConfig_JobDurationInSecond { get; set; }
#endregion
#region Parameter JobName
/// <summary>
/// <para>
/// <para>A name for the recommendation job. The name must be unique within the Amazon Web Services
/// Region and within your Amazon Web Services account. The job name is passed down to
/// the resources created by the recommendation job. The names of resources (such as the
/// model, endpoint configuration, endpoint, and compilation) that are prefixed with the
/// job name are truncated at 40 characters.</para>
/// </para>
/// </summary>
#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 JobName { get; set; }
#endregion
#region Parameter JobType
/// <summary>
/// <para>
/// <para>Defines the type of recommendation job. Specify <code>Default</code> to initiate an
/// instance recommendation and <code>Advanced</code> to initiate a load test. If left
/// unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation
/// (<code>DEFAULT</code>) job.</para>
/// </para>
/// </summary>
#if !MODULAR
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
#else
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)]
[System.Management.Automation.AllowNull]
#endif
[Amazon.PowerShell.Common.AWSRequiredParameter]
[AWSConstantClassSource("Amazon.SageMaker.RecommendationJobType")]
public Amazon.SageMaker.RecommendationJobType JobType { get; set; }
#endregion
#region Parameter OutputConfig_KmsKeyId
/// <summary>
/// <para>
/// <para>The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon
/// Web Services KMS) key that Amazon SageMaker uses to encrypt your output artifacts
/// with Amazon S3 server-side encryption. The SageMaker execution role must have <code>kms:GenerateDataKey</code>
/// permission.</para><para>The <code>KmsKeyId</code> can be any of the following formats:</para><ul><li><para>// KMS Key ID</para><para><code>"1234abcd-12ab-34cd-56ef-1234567890ab"</code></para></li><li><para>// Amazon Resource Name (ARN) of a KMS Key</para><para><code>"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"</code></para></li><li><para>// KMS Key Alias</para><para><code>"alias/ExampleAlias"</code></para></li><li><para>// Amazon Resource Name (ARN) of a KMS Key Alias</para><para><code>"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"</code></para></li></ul><para>For more information about key identifiers, see <a href="https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#key-id-key-id">Key
/// identifiers (KeyID)</a> in the Amazon Web Services Key Management Service (Amazon
/// Web Services KMS) documentation.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.String OutputConfig_KmsKeyId { get; set; }
#endregion
#region Parameter StoppingConditions_MaxInvocation
/// <summary>
/// <para>
/// <para>The maximum number of requests per minute expected for the endpoint.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("StoppingConditions_MaxInvocations")]
public System.Int32? StoppingConditions_MaxInvocation { get; set; }
#endregion
#region Parameter ResourceLimit_MaxNumberOfTest
/// <summary>
/// <para>
/// <para>Defines the maximum number of load tests.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ResourceLimit_MaxNumberOfTests")]
public System.Int32? ResourceLimit_MaxNumberOfTest { get; set; }
#endregion
#region Parameter ResourceLimit_MaxParallelOfTest
/// <summary>
/// <para>
/// <para>Defines the maximum number of parallel load tests.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ResourceLimit_MaxParallelOfTests")]
public System.Int32? ResourceLimit_MaxParallelOfTest { get; set; }
#endregion
#region Parameter StoppingConditions_ModelLatencyThreshold
/// <summary>
/// <para>
/// <para>The interval of time taken by a model to respond as viewed from SageMaker. The interval
/// includes the local communication time taken to send the request and to fetch the response
/// from the container of a model and the time taken to complete the inference in the
/// container.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("StoppingConditions_ModelLatencyThresholds")]
public Amazon.SageMaker.Model.ModelLatencyThreshold[] StoppingConditions_ModelLatencyThreshold { get; set; }
#endregion
#region Parameter InputConfig_ModelName
/// <summary>
/// <para>
/// <para>The name of the created model.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.String InputConfig_ModelName { get; set; }
#endregion
#region Parameter InputConfig_ModelPackageVersionArn
/// <summary>
/// <para>
/// <para>The Amazon Resource Name (ARN) of a versioned model package.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.String InputConfig_ModelPackageVersionArn { get; set; }
#endregion
#region Parameter ContainerConfig_NearestModelName
/// <summary>
/// <para>
/// <para>The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference
/// Recommender that matches your model.</para><para>Valid Values: <code>efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge
/// | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon |
/// resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased |
/// xceptionV1-keras | resnet50 | retinanet</code></para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_NearestModelName")]
public System.String ContainerConfig_NearestModelName { get; set; }
#endregion
#region Parameter TrafficPattern_Phase
/// <summary>
/// <para>
/// <para>Defines the phases traffic specification.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_TrafficPattern_Phases")]
public Amazon.SageMaker.Model.Phase[] TrafficPattern_Phase { get; set; }
#endregion
#region Parameter RoleArn
/// <summary>
/// <para>
/// <para>The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform
/// tasks on your behalf.</para>
/// </para>
/// </summary>
#if !MODULAR
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
#else
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)]
[System.Management.Automation.AllowEmptyString]
[System.Management.Automation.AllowNull]
#endif
[Amazon.PowerShell.Common.AWSRequiredParameter]
public System.String RoleArn { get; set; }
#endregion
#region Parameter CompiledOutputConfig_S3OutputUri
/// <summary>
/// <para>
/// <para>Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model
/// artifacts.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("OutputConfig_CompiledOutputConfig_S3OutputUri")]
public System.String CompiledOutputConfig_S3OutputUri { get; set; }
#endregion
#region Parameter PayloadConfig_SamplePayloadUrl
/// <summary>
/// <para>
/// <para>The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
/// This path must point to a single gzip compressed tar archive (.tar.gz suffix).</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_PayloadConfig_SamplePayloadUrl")]
public System.String PayloadConfig_SamplePayloadUrl { get; set; }
#endregion
#region Parameter VpcConfig_SecurityGroupId
/// <summary>
/// <para>
/// <para>The VPC security group IDs. IDs have the form of <code>sg-xxxxxxxx</code>. Specify
/// the security groups for the VPC that is specified in the <code>Subnets</code> field.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_VpcConfig_SecurityGroupIds")]
public System.String[] VpcConfig_SecurityGroupId { get; set; }
#endregion
#region Parameter VpcConfig_Subnet
/// <summary>
/// <para>
/// <para>The ID of the subnets in the VPC to which you want to connect your model.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_VpcConfig_Subnets")]
public System.String[] VpcConfig_Subnet { get; set; }
#endregion
#region Parameter PayloadConfig_SupportedContentType
/// <summary>
/// <para>
/// <para>The supported MIME types for the input data.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_PayloadConfig_SupportedContentTypes")]
public System.String[] PayloadConfig_SupportedContentType { get; set; }
#endregion
#region Parameter ContainerConfig_SupportedEndpointType
/// <summary>
/// <para>
/// <para>The endpoint type to receive recommendations for. By default this is null, and the
/// results of the inference recommendation job return a combined list of both real-time
/// and serverless benchmarks. By specifying a value for this field, you can receive a
/// longer list of benchmarks for the desired endpoint type.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_SupportedEndpointType")]
[AWSConstantClassSource("Amazon.SageMaker.RecommendationJobSupportedEndpointType")]
public Amazon.SageMaker.RecommendationJobSupportedEndpointType ContainerConfig_SupportedEndpointType { get; set; }
#endregion
#region Parameter ContainerConfig_SupportedInstanceType
/// <summary>
/// <para>
/// <para>A list of the instance types that are used to generate inferences in real-time.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_SupportedInstanceTypes")]
public System.String[] ContainerConfig_SupportedInstanceType { get; set; }
#endregion
#region Parameter Tag
/// <summary>
/// <para>
/// <para>The metadata that you apply to Amazon Web Services resources to help you categorize
/// and organize them. Each tag consists of a key and a value, both of which you define.
/// For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging
/// Amazon Web Services Resources</a> in the Amazon Web Services General Reference.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("Tags")]
public Amazon.SageMaker.Model.Tag[] Tag { get; set; }
#endregion
#region Parameter ContainerConfig_Task
/// <summary>
/// <para>
/// <para>The machine learning task that the model accomplishes.</para><para>Valid Values: <code>IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION
/// | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER</code></para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_ContainerConfig_Task")]
public System.String ContainerConfig_Task { get; set; }
#endregion
#region Parameter TrafficPattern_TrafficType
/// <summary>
/// <para>
/// <para>Defines the traffic patterns.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
[Alias("InputConfig_TrafficPattern_TrafficType")]
[AWSConstantClassSource("Amazon.SageMaker.TrafficType")]
public Amazon.SageMaker.TrafficType TrafficPattern_TrafficType { get; set; }
#endregion
#region Parameter InputConfig_VolumeKmsKeyId
/// <summary>
/// <para>
/// <para>The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon
/// Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume
/// attached to the ML compute instance that hosts the endpoint. This key will be passed
/// to SageMaker Hosting for endpoint creation. </para><para>The SageMaker execution role must have <code>kms:CreateGrant</code> permission in
/// order to encrypt data on the storage volume of the endpoints created for inference
/// recommendation. The inference recommendation job will fail asynchronously during endpoint
/// configuration creation if the role passed does not have <code>kms:CreateGrant</code>
/// permission.</para><para>The <code>KmsKeyId</code> can be any of the following formats:</para><ul><li><para>// KMS Key ID</para><para><code>"1234abcd-12ab-34cd-56ef-1234567890ab"</code></para></li><li><para>// Amazon Resource Name (ARN) of a KMS Key</para><para><code>"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"</code></para></li><li><para>// KMS Key Alias</para><para><code>"alias/ExampleAlias"</code></para></li><li><para>// Amazon Resource Name (ARN) of a KMS Key Alias</para><para><code>"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"</code></para></li></ul><para>For more information about key identifiers, see <a href="https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#key-id-key-id">Key
/// identifiers (KeyID)</a> in the Amazon Web Services Key Management Service (Amazon
/// Web Services KMS) documentation.</para>
/// </para>
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public System.String InputConfig_VolumeKmsKeyId { get; set; }
#endregion
#region Parameter Select
/// <summary>
/// Use the -Select parameter to control the cmdlet output. The default value is 'JobArn'.
/// Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse).
/// Specifying the name of a property of type Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse will result in that property being returned.
/// Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public string Select { get; set; } = "JobArn";
#endregion
#region Parameter PassThru
/// <summary>
/// Changes the cmdlet behavior to return the value passed to the JobName parameter.
/// The -PassThru parameter is deprecated, use -Select '^JobName' instead. This parameter will be removed in a future version.
/// </summary>
[System.Obsolete("The -PassThru parameter is deprecated, use -Select '^JobName' 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
/// <summary>
/// This parameter overrides confirmation prompts to force
/// the cmdlet to continue its operation. This parameter should always
/// be used with caution.
/// </summary>
[System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
public SwitchParameter Force { get; set; }
#endregion
protected override void ProcessRecord()
{
this._AWSSignerType = "v4";
base.ProcessRecord();
var resourceIdentifiersText = string.Empty;
if (!ConfirmShouldProceed(this.Force.IsPresent, resourceIdentifiersText, "New-SMInferenceRecommendationsJob (CreateInferenceRecommendationsJob)"))
{
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<Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse, NewSMInferenceRecommendationsJobCmdlet>(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.JobName;
}
#pragma warning restore CS0618, CS0612 //A class member was marked with the Obsolete attribute
context.ContainerConfig_DataInputConfig = this.ContainerConfig_DataInputConfig;
context.ContainerConfig_Domain = this.ContainerConfig_Domain;
context.ContainerConfig_Framework = this.ContainerConfig_Framework;
context.ContainerConfig_FrameworkVersion = this.ContainerConfig_FrameworkVersion;
context.ContainerConfig_NearestModelName = this.ContainerConfig_NearestModelName;
context.PayloadConfig_SamplePayloadUrl = this.PayloadConfig_SamplePayloadUrl;
if (this.PayloadConfig_SupportedContentType != null)
{
context.PayloadConfig_SupportedContentType = new List<System.String>(this.PayloadConfig_SupportedContentType);
}
context.ContainerConfig_SupportedEndpointType = this.ContainerConfig_SupportedEndpointType;
if (this.ContainerConfig_SupportedInstanceType != null)
{
context.ContainerConfig_SupportedInstanceType = new List<System.String>(this.ContainerConfig_SupportedInstanceType);
}
context.ContainerConfig_Task = this.ContainerConfig_Task;
if (this.InputConfig_EndpointConfiguration != null)
{
context.InputConfig_EndpointConfiguration = new List<Amazon.SageMaker.Model.EndpointInputConfiguration>(this.InputConfig_EndpointConfiguration);
}
if (this.InputConfig_Endpoint != null)
{
context.InputConfig_Endpoint = new List<Amazon.SageMaker.Model.EndpointInfo>(this.InputConfig_Endpoint);
}
context.InputConfig_JobDurationInSecond = this.InputConfig_JobDurationInSecond;
context.InputConfig_ModelName = this.InputConfig_ModelName;
context.InputConfig_ModelPackageVersionArn = this.InputConfig_ModelPackageVersionArn;
context.ResourceLimit_MaxNumberOfTest = this.ResourceLimit_MaxNumberOfTest;
context.ResourceLimit_MaxParallelOfTest = this.ResourceLimit_MaxParallelOfTest;
if (this.TrafficPattern_Phase != null)
{
context.TrafficPattern_Phase = new List<Amazon.SageMaker.Model.Phase>(this.TrafficPattern_Phase);
}
context.TrafficPattern_TrafficType = this.TrafficPattern_TrafficType;
context.InputConfig_VolumeKmsKeyId = this.InputConfig_VolumeKmsKeyId;
if (this.VpcConfig_SecurityGroupId != null)
{
context.VpcConfig_SecurityGroupId = new List<System.String>(this.VpcConfig_SecurityGroupId);
}
if (this.VpcConfig_Subnet != null)
{
context.VpcConfig_Subnet = new List<System.String>(this.VpcConfig_Subnet);
}
context.JobDescription = this.JobDescription;
context.JobName = this.JobName;
#if MODULAR
if (this.JobName == null && ParameterWasBound(nameof(this.JobName)))
{
WriteWarning("You are passing $null as a value for parameter JobName 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.JobType = this.JobType;
#if MODULAR
if (this.JobType == null && ParameterWasBound(nameof(this.JobType)))
{
WriteWarning("You are passing $null as a value for parameter JobType 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.CompiledOutputConfig_S3OutputUri = this.CompiledOutputConfig_S3OutputUri;
context.OutputConfig_KmsKeyId = this.OutputConfig_KmsKeyId;
context.RoleArn = this.RoleArn;
#if MODULAR
if (this.RoleArn == null && ParameterWasBound(nameof(this.RoleArn)))
{
WriteWarning("You are passing $null as a value for parameter RoleArn 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.StoppingConditions_MaxInvocation = this.StoppingConditions_MaxInvocation;
if (this.StoppingConditions_ModelLatencyThreshold != null)
{
context.StoppingConditions_ModelLatencyThreshold = new List<Amazon.SageMaker.Model.ModelLatencyThreshold>(this.StoppingConditions_ModelLatencyThreshold);
}
if (this.Tag != null)
{
context.Tag = new List<Amazon.SageMaker.Model.Tag>(this.Tag);
}
// 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.CreateInferenceRecommendationsJobRequest();
// populate InputConfig
var requestInputConfigIsNull = true;
request.InputConfig = new Amazon.SageMaker.Model.RecommendationJobInputConfig();
List<Amazon.SageMaker.Model.EndpointInputConfiguration> requestInputConfig_inputConfig_EndpointConfiguration = null;
if (cmdletContext.InputConfig_EndpointConfiguration != null)
{
requestInputConfig_inputConfig_EndpointConfiguration = cmdletContext.InputConfig_EndpointConfiguration;
}
if (requestInputConfig_inputConfig_EndpointConfiguration != null)
{
request.InputConfig.EndpointConfigurations = requestInputConfig_inputConfig_EndpointConfiguration;
requestInputConfigIsNull = false;
}
List<Amazon.SageMaker.Model.EndpointInfo> requestInputConfig_inputConfig_Endpoint = null;
if (cmdletContext.InputConfig_Endpoint != null)
{
requestInputConfig_inputConfig_Endpoint = cmdletContext.InputConfig_Endpoint;
}
if (requestInputConfig_inputConfig_Endpoint != null)
{
request.InputConfig.Endpoints = requestInputConfig_inputConfig_Endpoint;
requestInputConfigIsNull = false;
}
System.Int32? requestInputConfig_inputConfig_JobDurationInSecond = null;
if (cmdletContext.InputConfig_JobDurationInSecond != null)
{
requestInputConfig_inputConfig_JobDurationInSecond = cmdletContext.InputConfig_JobDurationInSecond.Value;
}
if (requestInputConfig_inputConfig_JobDurationInSecond != null)
{
request.InputConfig.JobDurationInSeconds = requestInputConfig_inputConfig_JobDurationInSecond.Value;
requestInputConfigIsNull = false;
}
System.String requestInputConfig_inputConfig_ModelName = null;
if (cmdletContext.InputConfig_ModelName != null)
{
requestInputConfig_inputConfig_ModelName = cmdletContext.InputConfig_ModelName;
}
if (requestInputConfig_inputConfig_ModelName != null)
{
request.InputConfig.ModelName = requestInputConfig_inputConfig_ModelName;
requestInputConfigIsNull = false;
}
System.String requestInputConfig_inputConfig_ModelPackageVersionArn = null;
if (cmdletContext.InputConfig_ModelPackageVersionArn != null)
{
requestInputConfig_inputConfig_ModelPackageVersionArn = cmdletContext.InputConfig_ModelPackageVersionArn;
}
if (requestInputConfig_inputConfig_ModelPackageVersionArn != null)
{
request.InputConfig.ModelPackageVersionArn = requestInputConfig_inputConfig_ModelPackageVersionArn;
requestInputConfigIsNull = false;
}
System.String requestInputConfig_inputConfig_VolumeKmsKeyId = null;
if (cmdletContext.InputConfig_VolumeKmsKeyId != null)
{
requestInputConfig_inputConfig_VolumeKmsKeyId = cmdletContext.InputConfig_VolumeKmsKeyId;
}
if (requestInputConfig_inputConfig_VolumeKmsKeyId != null)
{
request.InputConfig.VolumeKmsKeyId = requestInputConfig_inputConfig_VolumeKmsKeyId;
requestInputConfigIsNull = false;
}
Amazon.SageMaker.Model.RecommendationJobResourceLimit requestInputConfig_inputConfig_ResourceLimit = null;
// populate ResourceLimit
var requestInputConfig_inputConfig_ResourceLimitIsNull = true;
requestInputConfig_inputConfig_ResourceLimit = new Amazon.SageMaker.Model.RecommendationJobResourceLimit();
System.Int32? requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxNumberOfTest = null;
if (cmdletContext.ResourceLimit_MaxNumberOfTest != null)
{
requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxNumberOfTest = cmdletContext.ResourceLimit_MaxNumberOfTest.Value;
}
if (requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxNumberOfTest != null)
{
requestInputConfig_inputConfig_ResourceLimit.MaxNumberOfTests = requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxNumberOfTest.Value;
requestInputConfig_inputConfig_ResourceLimitIsNull = false;
}
System.Int32? requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxParallelOfTest = null;
if (cmdletContext.ResourceLimit_MaxParallelOfTest != null)
{
requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxParallelOfTest = cmdletContext.ResourceLimit_MaxParallelOfTest.Value;
}
if (requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxParallelOfTest != null)
{
requestInputConfig_inputConfig_ResourceLimit.MaxParallelOfTests = requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxParallelOfTest.Value;
requestInputConfig_inputConfig_ResourceLimitIsNull = false;
}
// determine if requestInputConfig_inputConfig_ResourceLimit should be set to null
if (requestInputConfig_inputConfig_ResourceLimitIsNull)
{
requestInputConfig_inputConfig_ResourceLimit = null;
}
if (requestInputConfig_inputConfig_ResourceLimit != null)
{
request.InputConfig.ResourceLimit = requestInputConfig_inputConfig_ResourceLimit;
requestInputConfigIsNull = false;
}
Amazon.SageMaker.Model.TrafficPattern requestInputConfig_inputConfig_TrafficPattern = null;
// populate TrafficPattern
var requestInputConfig_inputConfig_TrafficPatternIsNull = true;
requestInputConfig_inputConfig_TrafficPattern = new Amazon.SageMaker.Model.TrafficPattern();
List<Amazon.SageMaker.Model.Phase> requestInputConfig_inputConfig_TrafficPattern_trafficPattern_Phase = null;
if (cmdletContext.TrafficPattern_Phase != null)
{
requestInputConfig_inputConfig_TrafficPattern_trafficPattern_Phase = cmdletContext.TrafficPattern_Phase;
}
if (requestInputConfig_inputConfig_TrafficPattern_trafficPattern_Phase != null)
{
requestInputConfig_inputConfig_TrafficPattern.Phases = requestInputConfig_inputConfig_TrafficPattern_trafficPattern_Phase;
requestInputConfig_inputConfig_TrafficPatternIsNull = false;
}
Amazon.SageMaker.TrafficType requestInputConfig_inputConfig_TrafficPattern_trafficPattern_TrafficType = null;
if (cmdletContext.TrafficPattern_TrafficType != null)
{
requestInputConfig_inputConfig_TrafficPattern_trafficPattern_TrafficType = cmdletContext.TrafficPattern_TrafficType;
}
if (requestInputConfig_inputConfig_TrafficPattern_trafficPattern_TrafficType != null)
{
requestInputConfig_inputConfig_TrafficPattern.TrafficType = requestInputConfig_inputConfig_TrafficPattern_trafficPattern_TrafficType;
requestInputConfig_inputConfig_TrafficPatternIsNull = false;
}
// determine if requestInputConfig_inputConfig_TrafficPattern should be set to null
if (requestInputConfig_inputConfig_TrafficPatternIsNull)
{
requestInputConfig_inputConfig_TrafficPattern = null;
}
if (requestInputConfig_inputConfig_TrafficPattern != null)
{
request.InputConfig.TrafficPattern = requestInputConfig_inputConfig_TrafficPattern;
requestInputConfigIsNull = false;
}
Amazon.SageMaker.Model.RecommendationJobVpcConfig requestInputConfig_inputConfig_VpcConfig = null;
// populate VpcConfig
var requestInputConfig_inputConfig_VpcConfigIsNull = true;
requestInputConfig_inputConfig_VpcConfig = new Amazon.SageMaker.Model.RecommendationJobVpcConfig();
List<System.String> requestInputConfig_inputConfig_VpcConfig_vpcConfig_SecurityGroupId = null;
if (cmdletContext.VpcConfig_SecurityGroupId != null)
{
requestInputConfig_inputConfig_VpcConfig_vpcConfig_SecurityGroupId = cmdletContext.VpcConfig_SecurityGroupId;
}
if (requestInputConfig_inputConfig_VpcConfig_vpcConfig_SecurityGroupId != null)
{
requestInputConfig_inputConfig_VpcConfig.SecurityGroupIds = requestInputConfig_inputConfig_VpcConfig_vpcConfig_SecurityGroupId;
requestInputConfig_inputConfig_VpcConfigIsNull = false;
}
List<System.String> requestInputConfig_inputConfig_VpcConfig_vpcConfig_Subnet = null;
if (cmdletContext.VpcConfig_Subnet != null)
{
requestInputConfig_inputConfig_VpcConfig_vpcConfig_Subnet = cmdletContext.VpcConfig_Subnet;
}
if (requestInputConfig_inputConfig_VpcConfig_vpcConfig_Subnet != null)
{
requestInputConfig_inputConfig_VpcConfig.Subnets = requestInputConfig_inputConfig_VpcConfig_vpcConfig_Subnet;
requestInputConfig_inputConfig_VpcConfigIsNull = false;
}
// determine if requestInputConfig_inputConfig_VpcConfig should be set to null
if (requestInputConfig_inputConfig_VpcConfigIsNull)
{
requestInputConfig_inputConfig_VpcConfig = null;
}
if (requestInputConfig_inputConfig_VpcConfig != null)
{
request.InputConfig.VpcConfig = requestInputConfig_inputConfig_VpcConfig;
requestInputConfigIsNull = false;
}
Amazon.SageMaker.Model.RecommendationJobContainerConfig requestInputConfig_inputConfig_ContainerConfig = null;
// populate ContainerConfig
var requestInputConfig_inputConfig_ContainerConfigIsNull = true;
requestInputConfig_inputConfig_ContainerConfig = new Amazon.SageMaker.Model.RecommendationJobContainerConfig();
System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_DataInputConfig = null;
if (cmdletContext.ContainerConfig_DataInputConfig != null)
{
requestInputConfig_inputConfig_ContainerConfig_containerConfig_DataInputConfig = cmdletContext.ContainerConfig_DataInputConfig;
}
if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_DataInputConfig != null)
{
requestInputConfig_inputConfig_ContainerConfig.DataInputConfig = requestInputConfig_inputConfig_ContainerConfig_containerConfig_DataInputConfig;
requestInputConfig_inputConfig_ContainerConfigIsNull = false;
}
System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_Domain = null;
if (cmdletContext.ContainerConfig_Domain != null)
{
requestInputConfig_inputConfig_ContainerConfig_containerConfig_Domain = cmdletContext.ContainerConfig_Domain;
}
if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_Domain != null)
{
requestInputConfig_inputConfig_ContainerConfig.Domain = requestInputConfig_inputConfig_ContainerConfig_containerConfig_Domain;
requestInputConfig_inputConfig_ContainerConfigIsNull = false;
}
System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_Framework = null;
if (cmdletContext.ContainerConfig_Framework != null)
{
requestInputConfig_inputConfig_ContainerConfig_containerConfig_Framework = cmdletContext.ContainerConfig_Framework;
}
if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_Framework != null)
{
requestInputConfig_inputConfig_ContainerConfig.Framework = requestInputConfig_inputConfig_ContainerConfig_containerConfig_Framework;
requestInputConfig_inputConfig_ContainerConfigIsNull = false;
}
System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_FrameworkVersion = null;
if (cmdletContext.ContainerConfig_FrameworkVersion != null)
{
requestInputConfig_inputConfig_ContainerConfig_containerConfig_FrameworkVersion = cmdletContext.ContainerConfig_FrameworkVersion;
}
if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_FrameworkVersion != null)
{
requestInputConfig_inputConfig_ContainerConfig.FrameworkVersion = requestInputConfig_inputConfig_ContainerConfig_containerConfig_FrameworkVersion;
requestInputConfig_inputConfig_ContainerConfigIsNull = false;
}
System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_NearestModelName = null;
if (cmdletContext.ContainerConfig_NearestModelName != null)
{
requestInputConfig_inputConfig_ContainerConfig_containerConfig_NearestModelName = cmdletContext.ContainerConfig_NearestModelName;
}
if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_NearestModelName != null)
{
requestInputConfig_inputConfig_ContainerConfig.NearestModelName = requestInputConfig_inputConfig_ContainerConfig_containerConfig_NearestModelName;
requestInputConfig_inputConfig_ContainerConfigIsNull = false;
}
Amazon.SageMaker.RecommendationJobSupportedEndpointType requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedEndpointType = null;
if (cmdletContext.ContainerConfig_SupportedEndpointType != null)
{
requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedEndpointType = cmdletContext.ContainerConfig_SupportedEndpointType;
}
if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedEndpointType != null)
{
requestInputConfig_inputConfig_ContainerConfig.SupportedEndpointType = requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedEndpointType;
requestInputConfig_inputConfig_ContainerConfigIsNull = false;
}
List<System.String> requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedInstanceType = null;
if (cmdletContext.ContainerConfig_SupportedInstanceType != null)
{
requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedInstanceType = cmdletContext.ContainerConfig_SupportedInstanceType;
}
if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedInstanceType != null)
{
requestInputConfig_inputConfig_ContainerConfig.SupportedInstanceTypes = requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedInstanceType;
requestInputConfig_inputConfig_ContainerConfigIsNull = false;
}
System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_Task = null;
if (cmdletContext.ContainerConfig_Task != null)
{
requestInputConfig_inputConfig_ContainerConfig_containerConfig_Task = cmdletContext.ContainerConfig_Task;
}
if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_Task != null)
{
requestInputConfig_inputConfig_ContainerConfig.Task = requestInputConfig_inputConfig_ContainerConfig_containerConfig_Task;
requestInputConfig_inputConfig_ContainerConfigIsNull = false;
}
Amazon.SageMaker.Model.RecommendationJobPayloadConfig requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig = null;
// populate PayloadConfig
var requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfigIsNull = true;
requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig = new Amazon.SageMaker.Model.RecommendationJobPayloadConfig();
System.String requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SamplePayloadUrl = null;
if (cmdletContext.PayloadConfig_SamplePayloadUrl != null)
{
requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SamplePayloadUrl = cmdletContext.PayloadConfig_SamplePayloadUrl;
}
if (requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SamplePayloadUrl != null)
{
requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig.SamplePayloadUrl = requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SamplePayloadUrl;
requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfigIsNull = false;
}
List<System.String> requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SupportedContentType = null;
if (cmdletContext.PayloadConfig_SupportedContentType != null)
{
requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SupportedContentType = cmdletContext.PayloadConfig_SupportedContentType;
}
if (requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SupportedContentType != null)
{
requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig.SupportedContentTypes = requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SupportedContentType;
requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfigIsNull = false;
}
// determine if requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig should be set to null
if (requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfigIsNull)
{
requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig = null;
}
if (requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig != null)
{
requestInputConfig_inputConfig_ContainerConfig.PayloadConfig = requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig;
requestInputConfig_inputConfig_ContainerConfigIsNull = false;
}
// determine if requestInputConfig_inputConfig_ContainerConfig should be set to null
if (requestInputConfig_inputConfig_ContainerConfigIsNull)
{
requestInputConfig_inputConfig_ContainerConfig = null;
}
if (requestInputConfig_inputConfig_ContainerConfig != null)
{
request.InputConfig.ContainerConfig = requestInputConfig_inputConfig_ContainerConfig;
requestInputConfigIsNull = false;
}
// determine if request.InputConfig should be set to null
if (requestInputConfigIsNull)
{
request.InputConfig = null;
}
if (cmdletContext.JobDescription != null)
{
request.JobDescription = cmdletContext.JobDescription;
}
if (cmdletContext.JobName != null)
{
request.JobName = cmdletContext.JobName;
}
if (cmdletContext.JobType != null)
{
request.JobType = cmdletContext.JobType;
}
// populate OutputConfig
var requestOutputConfigIsNull = true;
request.OutputConfig = new Amazon.SageMaker.Model.RecommendationJobOutputConfig();
System.String requestOutputConfig_outputConfig_KmsKeyId = null;
if (cmdletContext.OutputConfig_KmsKeyId != null)
{
requestOutputConfig_outputConfig_KmsKeyId = cmdletContext.OutputConfig_KmsKeyId;
}
if (requestOutputConfig_outputConfig_KmsKeyId != null)
{
request.OutputConfig.KmsKeyId = requestOutputConfig_outputConfig_KmsKeyId;
requestOutputConfigIsNull = false;
}
Amazon.SageMaker.Model.RecommendationJobCompiledOutputConfig requestOutputConfig_outputConfig_CompiledOutputConfig = null;
// populate CompiledOutputConfig
var requestOutputConfig_outputConfig_CompiledOutputConfigIsNull = true;
requestOutputConfig_outputConfig_CompiledOutputConfig = new Amazon.SageMaker.Model.RecommendationJobCompiledOutputConfig();
System.String requestOutputConfig_outputConfig_CompiledOutputConfig_compiledOutputConfig_S3OutputUri = null;
if (cmdletContext.CompiledOutputConfig_S3OutputUri != null)
{
requestOutputConfig_outputConfig_CompiledOutputConfig_compiledOutputConfig_S3OutputUri = cmdletContext.CompiledOutputConfig_S3OutputUri;
}
if (requestOutputConfig_outputConfig_CompiledOutputConfig_compiledOutputConfig_S3OutputUri != null)
{
requestOutputConfig_outputConfig_CompiledOutputConfig.S3OutputUri = requestOutputConfig_outputConfig_CompiledOutputConfig_compiledOutputConfig_S3OutputUri;
requestOutputConfig_outputConfig_CompiledOutputConfigIsNull = false;
}
// determine if requestOutputConfig_outputConfig_CompiledOutputConfig should be set to null
if (requestOutputConfig_outputConfig_CompiledOutputConfigIsNull)
{
requestOutputConfig_outputConfig_CompiledOutputConfig = null;
}
if (requestOutputConfig_outputConfig_CompiledOutputConfig != null)
{
request.OutputConfig.CompiledOutputConfig = requestOutputConfig_outputConfig_CompiledOutputConfig;
requestOutputConfigIsNull = false;
}
// determine if request.OutputConfig should be set to null
if (requestOutputConfigIsNull)
{
request.OutputConfig = null;
}
if (cmdletContext.RoleArn != null)
{
request.RoleArn = cmdletContext.RoleArn;
}
// populate StoppingConditions
var requestStoppingConditionsIsNull = true;
request.StoppingConditions = new Amazon.SageMaker.Model.RecommendationJobStoppingConditions();
System.Int32? requestStoppingConditions_stoppingConditions_MaxInvocation = null;
if (cmdletContext.StoppingConditions_MaxInvocation != null)
{
requestStoppingConditions_stoppingConditions_MaxInvocation = cmdletContext.StoppingConditions_MaxInvocation.Value;
}
if (requestStoppingConditions_stoppingConditions_MaxInvocation != null)
{
request.StoppingConditions.MaxInvocations = requestStoppingConditions_stoppingConditions_MaxInvocation.Value;
requestStoppingConditionsIsNull = false;
}
List<Amazon.SageMaker.Model.ModelLatencyThreshold> requestStoppingConditions_stoppingConditions_ModelLatencyThreshold = null;
if (cmdletContext.StoppingConditions_ModelLatencyThreshold != null)
{
requestStoppingConditions_stoppingConditions_ModelLatencyThreshold = cmdletContext.StoppingConditions_ModelLatencyThreshold;
}
if (requestStoppingConditions_stoppingConditions_ModelLatencyThreshold != null)
{
request.StoppingConditions.ModelLatencyThresholds = requestStoppingConditions_stoppingConditions_ModelLatencyThreshold;
requestStoppingConditionsIsNull = false;
}
// determine if request.StoppingConditions should be set to null
if (requestStoppingConditionsIsNull)
{
request.StoppingConditions = null;
}
if (cmdletContext.Tag != null)
{
request.Tags = cmdletContext.Tag;
}
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.CreateInferenceRecommendationsJobResponse CallAWSServiceOperation(IAmazonSageMaker client, Amazon.SageMaker.Model.CreateInferenceRecommendationsJobRequest request)
{
Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon SageMaker Service", "CreateInferenceRecommendationsJob");
try
{
#if DESKTOP
return client.CreateInferenceRecommendationsJob(request);
#elif CORECLR
return client.CreateInferenceRecommendationsJobAsync(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 System.String ContainerConfig_DataInputConfig { get; set; }
public System.String ContainerConfig_Domain { get; set; }
public System.String ContainerConfig_Framework { get; set; }
public System.String ContainerConfig_FrameworkVersion { get; set; }
public System.String ContainerConfig_NearestModelName { get; set; }
public System.String PayloadConfig_SamplePayloadUrl { get; set; }
public List<System.String> PayloadConfig_SupportedContentType { get; set; }
public Amazon.SageMaker.RecommendationJobSupportedEndpointType ContainerConfig_SupportedEndpointType { get; set; }
public List<System.String> ContainerConfig_SupportedInstanceType { get; set; }
public System.String ContainerConfig_Task { get; set; }
public List<Amazon.SageMaker.Model.EndpointInputConfiguration> InputConfig_EndpointConfiguration { get; set; }
public List<Amazon.SageMaker.Model.EndpointInfo> InputConfig_Endpoint { get; set; }
public System.Int32? InputConfig_JobDurationInSecond { get; set; }
public System.String InputConfig_ModelName { get; set; }
public System.String InputConfig_ModelPackageVersionArn { get; set; }
public System.Int32? ResourceLimit_MaxNumberOfTest { get; set; }
public System.Int32? ResourceLimit_MaxParallelOfTest { get; set; }
public List<Amazon.SageMaker.Model.Phase> TrafficPattern_Phase { get; set; }
public Amazon.SageMaker.TrafficType TrafficPattern_TrafficType { get; set; }
public System.String InputConfig_VolumeKmsKeyId { get; set; }
public List<System.String> VpcConfig_SecurityGroupId { get; set; }
public List<System.String> VpcConfig_Subnet { get; set; }
public System.String JobDescription { get; set; }
public System.String JobName { get; set; }
public Amazon.SageMaker.RecommendationJobType JobType { get; set; }
public System.String CompiledOutputConfig_S3OutputUri { get; set; }
public System.String OutputConfig_KmsKeyId { get; set; }
public System.String RoleArn { get; set; }
public System.Int32? StoppingConditions_MaxInvocation { get; set; }
public List<Amazon.SageMaker.Model.ModelLatencyThreshold> StoppingConditions_ModelLatencyThreshold { get; set; }
public List<Amazon.SageMaker.Model.Tag> Tag { get; set; }
public System.Func<Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse, NewSMInferenceRecommendationsJobCmdlet, object> Select { get; set; } =
(response, cmdlet) => response.JobArn;
}
}
}