Az.MachineLearningServices

1.0.0

custom/New-AzMLWorkspacePipelineJobObject.ps1

                                
# ----------------------------------------------------------------------------------

# Copyright (c) Microsoft Corporation. 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.

# You may obtain a copy of the License at

# http://www.apache.org/licenses/LICENSE-2.0

# Unless required by applicable law or agreed to in writing, software

# distributed under the License 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.

# Code generated by Microsoft (R) AutoRest Code Generator.Changes may cause incorrect behavior and will be lost if the code

# is regenerated.

# ----------------------------------------------------------------------------------

<#

.Synopsis

Create an in-memory object for PipelineJob.

.Description

Create an in-memory object for PipelineJob.

.Outputs

Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.PipelineJob

.Link

https://learn.microsoft.com/powershell/module/az.MLWorkspace/new-AzMLWorkspacePipelineJobObject

#>

function New-AzMLWorkspacePipelineJobObject {

    [OutputType('Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.PipelineJob')]

    [CmdletBinding(PositionalBinding=$false)]

    Param(

        [Parameter(HelpMessage="Inputs for the pipeline job.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IPipelineJobInputs]

        $JobInput,

        [Parameter(HelpMessage="Jobs construct the Pipeline Job.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IPipelineJobJobs]

        $Job,

        [Parameter(HelpMessage="Outputs for the pipeline job.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IPipelineJobOutputs]

        $JobOutput,

        [Parameter(HelpMessage="Pipeline settings, for things like ContinueRunOnStepFailure etc.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.IAny]

        $Setting,

        [Parameter(HelpMessage="ARM resource ID of the compute resource.")]

        [string]

        $ComputeId,

        [Parameter(HelpMessage="Display name of job.")]

        [string]

        $DisplayName,

        [Parameter(HelpMessage="The name of the experiment the job belongs to. If not set, the job is placed in the `"Default`" experiment.")]

        [string]

        $ExperimentName,

        [Parameter(HelpMessage="[Required] Specifies the type of identity framework.")]

        [ArgumentCompleter([Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.IdentityConfigurationType])]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.IdentityConfigurationType]

        $IdentityType,

        [Parameter(HelpMessage="Is the asset archived?.")]

        [bool]

        $IsArchived,

        # [Parameter(HelpMessage="List of JobEndpoints.

        # For local jobs, a job endpoint will have an endpoint value of FileStreamObject.")]

        # [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IJobBaseServices]

        # $Service,

        [Parameter(HelpMessage="Url for endpoint.")]

        [string]

        $ServiceEndpoint,

        [Parameter(HelpMessage="Port for endpoint.")]

        [int]

        $ServicePort,

        [Parameter(HelpMessage="Additional properties to set on the endpoint.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IJobServiceProperties]

        $ServiceProperty,

        [Parameter(HelpMessage="Endpoint type.")]

        [string]

        $ServiceType,

        [Parameter(HelpMessage="The asset description text.")]

        [string]

        $Description,

        [Parameter(HelpMessage="The asset property dictionary.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IResourceBaseProperties]

        $Property,

        [Parameter(HelpMessage="Tag dictionary. Tags can be added, removed, and updated.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IResourceBaseTags]

        $Tag

    )

    process {

        $Object = [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.PipelineJob]::New()

        $Object.JobType = 'Pipeline'

        $Service = [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.JobBaseServices]::New()

        if ($PSBoundParameters.ContainsKey('JobInput')) {

            $Object.Input = $JobInput

        }

        if ($PSBoundParameters.ContainsKey('Job')) {

            $Object.Job = $Job

        }

        if ($PSBoundParameters.ContainsKey('JobOutput')) {

            $Object.Output = $JobOutput

        }

        if ($PSBoundParameters.ContainsKey('Setting')) {

            $Object.Setting = $Setting

        }

        if ($PSBoundParameters.ContainsKey('ComputeId')) {

            $Object.ComputeId = $ComputeId

        }

        if ($PSBoundParameters.ContainsKey('DisplayName')) {

            $Object.DisplayName = $DisplayName

        }

        if ($PSBoundParameters.ContainsKey('ExperimentName')) {

            $Object.ExperimentName = $ExperimentName

        }

        if ($PSBoundParameters.ContainsKey('IdentityType')) {

            $Object.IdentityType = $IdentityType

        }

        if ($PSBoundParameters.ContainsKey('IsArchived')) {

            $Object.IsArchived = $IsArchived

        }

        # if ($PSBoundParameters.ContainsKey('Service')) {

        #     $Object.Service = $Service

        # }

        if ($PSBoundParameters.ContainsKey('ServiceEndpoint')) {

            $Service.Endpoint = $ServiceEndpoint

        }

        if ($PSBoundParameters.ContainsKey('ServicePort')) {

            $Service.Port = $ServicePort

        }

        if ($PSBoundParameters.ContainsKey('ServiceProperty')) {

            $Service.Property = $ServiceProperty

        }

        if ($PSBoundParameters.ContainsKey('ServiceType')) {

            $Service.Type = $ServiceType

        }

        if ($PSBoundParameters.ContainsKey('Description')) {

            $Object.Description = $Description

        }

        if ($PSBoundParameters.ContainsKey('Property')) {

            $Object.Property = $Property

        }

        if ($PSBoundParameters.ContainsKey('Tag')) {

            $Object.Tag = $Tag

        }

        $Object.Service = $Service

        return $Object

    }

}

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