com.pulumi.azurenative.machinelearningservices.kotlin.FeaturesetVersion.kt Maven / Gradle / Ivy
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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.azurenative.machinelearningservices.kotlin
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.FeaturesetVersionResponse
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.SystemDataResponse
import com.pulumi.core.Output
import com.pulumi.kotlin.KotlinCustomResource
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.ResourceMapper
import com.pulumi.kotlin.options.CustomResourceOptions
import com.pulumi.kotlin.options.CustomResourceOptionsBuilder
import com.pulumi.resources.Resource
import kotlin.Boolean
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.FeaturesetVersionResponse.Companion.toKotlin as featuresetVersionResponseToKotlin
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.SystemDataResponse.Companion.toKotlin as systemDataResponseToKotlin
/**
* Builder for [FeaturesetVersion].
*/
@PulumiTagMarker
public class FeaturesetVersionResourceBuilder internal constructor() {
public var name: String? = null
public var args: FeaturesetVersionArgs = FeaturesetVersionArgs()
public var opts: CustomResourceOptions = CustomResourceOptions()
/**
* @param name The _unique_ name of the resulting resource.
*/
public fun name(`value`: String) {
this.name = value
}
/**
* @param block The arguments to use to populate this resource's properties.
*/
public suspend fun args(block: suspend FeaturesetVersionArgsBuilder.() -> Unit) {
val builder = FeaturesetVersionArgsBuilder()
block(builder)
this.args = builder.build()
}
/**
* @param block A bag of options that control this resource's behavior.
*/
public suspend fun opts(block: suspend CustomResourceOptionsBuilder.() -> Unit) {
this.opts = com.pulumi.kotlin.options.CustomResourceOptions.opts(block)
}
internal fun build(): FeaturesetVersion {
val builtJavaResource =
com.pulumi.azurenative.machinelearningservices.FeaturesetVersion(
this.name,
this.args.toJava(),
this.opts.toJava(),
)
return FeaturesetVersion(builtJavaResource)
}
}
/**
* Azure Resource Manager resource envelope.
* Azure REST API version: 2023-04-01-preview.
* Other available API versions: 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-04-01-preview, 2024-07-01-preview.
* ## Example Usage
* ### CreateOrUpdate Workspace Featureset Version.
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var featuresetVersion = new AzureNative.MachineLearningServices.FeaturesetVersion("featuresetVersion", new()
* {
* FeaturesetVersionProperties = new AzureNative.MachineLearningServices.Inputs.FeaturesetVersionArgs
* {
* Description = "string",
* Entities = new[]
* {
* "string",
* },
* IsAnonymous = false,
* IsArchived = false,
* MaterializationSettings = new AzureNative.MachineLearningServices.Inputs.MaterializationSettingsArgs
* {
* Notification = new AzureNative.MachineLearningServices.Inputs.NotificationSettingArgs
* {
* EmailOn = new[]
* {
* AzureNative.MachineLearningServices.EmailNotificationEnableType.JobFailed,
* },
* Emails = new[]
* {
* "string",
* },
* },
* Resource = new AzureNative.MachineLearningServices.Inputs.MaterializationComputeResourceArgs
* {
* InstanceType = "string",
* },
* Schedule = new AzureNative.MachineLearningServices.Inputs.RecurrenceTriggerArgs
* {
* EndTime = "string",
* Frequency = AzureNative.MachineLearningServices.RecurrenceFrequency.Day,
* Interval = 1,
* Schedule = new AzureNative.MachineLearningServices.Inputs.RecurrenceScheduleArgs
* {
* Hours = new[]
* {
* 1,
* },
* Minutes = new[]
* {
* 1,
* },
* MonthDays = new[]
* {
* 1,
* },
* WeekDays = new[]
* {
* AzureNative.MachineLearningServices.WeekDay.Monday,
* },
* },
* StartTime = "string",
* TimeZone = "string",
* TriggerType = "Recurrence",
* },
* SparkConfiguration =
* {
* { "string", "string" },
* },
* StoreType = AzureNative.MachineLearningServices.MaterializationStoreType.Online,
* },
* Properties =
* {
* { "string", "string" },
* },
* Specification = new AzureNative.MachineLearningServices.Inputs.FeaturesetSpecificationArgs
* {
* Path = "string",
* },
* Stage = "string",
* Tags =
* {
* { "string", "string" },
* },
* },
* Name = "string",
* ResourceGroupName = "test-rg",
* Version = "string",
* WorkspaceName = "my-aml-workspace",
* });
* });
* ```
* ```go
* package main
* import (
* machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := machinelearningservices.NewFeaturesetVersion(ctx, "featuresetVersion", &machinelearningservices.FeaturesetVersionArgs{
* FeaturesetVersionProperties: &machinelearningservices.FeaturesetVersionTypeArgs{
* Description: pulumi.String("string"),
* Entities: pulumi.StringArray{
* pulumi.String("string"),
* },
* IsAnonymous: pulumi.Bool(false),
* IsArchived: pulumi.Bool(false),
* MaterializationSettings: &machinelearningservices.MaterializationSettingsArgs{
* Notification: &machinelearningservices.NotificationSettingArgs{
* EmailOn: pulumi.StringArray{
* pulumi.String(machinelearningservices.EmailNotificationEnableTypeJobFailed),
* },
* Emails: pulumi.StringArray{
* pulumi.String("string"),
* },
* },
* Resource: &machinelearningservices.MaterializationComputeResourceArgs{
* InstanceType: pulumi.String("string"),
* },
* Schedule: &machinelearningservices.RecurrenceTriggerArgs{
* EndTime: pulumi.String("string"),
* Frequency: pulumi.String(machinelearningservices.RecurrenceFrequencyDay),
* Interval: pulumi.Int(1),
* Schedule: &machinelearningservices.RecurrenceScheduleArgs{
* Hours: pulumi.IntArray{
* pulumi.Int(1),
* },
* Minutes: pulumi.IntArray{
* pulumi.Int(1),
* },
* MonthDays: pulumi.IntArray{
* pulumi.Int(1),
* },
* WeekDays: pulumi.StringArray{
* pulumi.String(machinelearningservices.WeekDayMonday),
* },
* },
* StartTime: pulumi.String("string"),
* TimeZone: pulumi.String("string"),
* TriggerType: pulumi.String("Recurrence"),
* },
* SparkConfiguration: pulumi.StringMap{
* "string": pulumi.String("string"),
* },
* StoreType: pulumi.String(machinelearningservices.MaterializationStoreTypeOnline),
* },
* Properties: pulumi.StringMap{
* "string": pulumi.String("string"),
* },
* Specification: &machinelearningservices.FeaturesetSpecificationArgs{
* Path: pulumi.String("string"),
* },
* Stage: pulumi.String("string"),
* Tags: pulumi.StringMap{
* "string": pulumi.String("string"),
* },
* },
* Name: pulumi.String("string"),
* ResourceGroupName: pulumi.String("test-rg"),
* Version: pulumi.String("string"),
* WorkspaceName: pulumi.String("my-aml-workspace"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.FeaturesetVersion;
* import com.pulumi.azurenative.machinelearningservices.FeaturesetVersionArgs;
* import com.pulumi.azurenative.machinelearningservices.inputs.FeaturesetVersionArgs;
* import com.pulumi.azurenative.machinelearningservices.inputs.MaterializationSettingsArgs;
* import com.pulumi.azurenative.machinelearningservices.inputs.NotificationSettingArgs;
* import com.pulumi.azurenative.machinelearningservices.inputs.MaterializationComputeResourceArgs;
* import com.pulumi.azurenative.machinelearningservices.inputs.RecurrenceTriggerArgs;
* import com.pulumi.azurenative.machinelearningservices.inputs.RecurrenceScheduleArgs;
* import com.pulumi.azurenative.machinelearningservices.inputs.FeaturesetSpecificationArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var featuresetVersion = new FeaturesetVersion("featuresetVersion", FeaturesetVersionArgs.builder()
* .featuresetVersionProperties(FeaturesetVersionArgs.builder()
* .description("string")
* .entities("string")
* .isAnonymous(false)
* .isArchived(false)
* .materializationSettings(MaterializationSettingsArgs.builder()
* .notification(NotificationSettingArgs.builder()
* .emailOn("JobFailed")
* .emails("string")
* .build())
* .resource(MaterializationComputeResourceArgs.builder()
* .instanceType("string")
* .build())
* .schedule(RecurrenceTriggerArgs.builder()
* .endTime("string")
* .frequency("Day")
* .interval(1)
* .schedule(RecurrenceScheduleArgs.builder()
* .hours(1)
* .minutes(1)
* .monthDays(1)
* .weekDays("Monday")
* .build())
* .startTime("string")
* .timeZone("string")
* .triggerType("Recurrence")
* .build())
* .sparkConfiguration(Map.of("string", "string"))
* .storeType("Online")
* .build())
* .properties(Map.of("string", "string"))
* .specification(FeaturesetSpecificationArgs.builder()
* .path("string")
* .build())
* .stage("string")
* .tags(Map.of("string", "string"))
* .build())
* .name("string")
* .resourceGroupName("test-rg")
* .version("string")
* .workspaceName("my-aml-workspace")
* .build());
* }
* }
* ```
* ## Import
* An existing resource can be imported using its type token, name, and identifier, e.g.
* ```sh
* $ pulumi import azure-native:machinelearningservices:FeaturesetVersion string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featuresets/{name}/versions/{version}
* ```
*/
public class FeaturesetVersion internal constructor(
override val javaResource: com.pulumi.azurenative.machinelearningservices.FeaturesetVersion,
) : KotlinCustomResource(javaResource, FeaturesetVersionMapper) {
/**
* [Required] Additional attributes of the entity.
*/
public val featuresetVersionProperties: Output
get() = javaResource.featuresetVersionProperties().applyValue({ args0 ->
args0.let({ args0 ->
featuresetVersionResponseToKotlin(args0)
})
})
/**
* The name of the resource
*/
public val name: Output
get() = javaResource.name().applyValue({ args0 -> args0 })
/**
* Azure Resource Manager metadata containing createdBy and modifiedBy information.
*/
public val systemData: Output
get() = javaResource.systemData().applyValue({ args0 ->
args0.let({ args0 ->
systemDataResponseToKotlin(args0)
})
})
/**
* The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
*/
public val type: Output
get() = javaResource.type().applyValue({ args0 -> args0 })
}
public object FeaturesetVersionMapper : ResourceMapper {
override fun supportsMappingOfType(javaResource: Resource): Boolean =
com.pulumi.azurenative.machinelearningservices.FeaturesetVersion::class == javaResource::class
override fun map(javaResource: Resource): FeaturesetVersion = FeaturesetVersion(
javaResource as
com.pulumi.azurenative.machinelearningservices.FeaturesetVersion,
)
}
/**
* @see [FeaturesetVersion].
* @param name The _unique_ name of the resulting resource.
* @param block Builder for [FeaturesetVersion].
*/
public suspend fun featuresetVersion(
name: String,
block: suspend FeaturesetVersionResourceBuilder.() -> Unit,
): FeaturesetVersion {
val builder = FeaturesetVersionResourceBuilder()
builder.name(name)
block(builder)
return builder.build()
}
/**
* @see [FeaturesetVersion].
* @param name The _unique_ name of the resulting resource.
*/
public fun featuresetVersion(name: String): FeaturesetVersion {
val builder = FeaturesetVersionResourceBuilder()
builder.name(name)
return builder.build()
}
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