com.pulumi.azurenative.machinelearningservices.kotlin.ConnectionDeploymentArgs.kt Maven / Gradle / Ivy
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.azurenative.machinelearningservices.kotlin
import com.pulumi.azurenative.machinelearningservices.ConnectionDeploymentArgs.builder
import com.pulumi.azurenative.machinelearningservices.kotlin.inputs.CognitiveServicesSkuArgs
import com.pulumi.azurenative.machinelearningservices.kotlin.inputs.CognitiveServicesSkuArgsBuilder
import com.pulumi.azurenative.machinelearningservices.kotlin.inputs.EndpointDeploymentResourcePropertiesArgs
import com.pulumi.azurenative.machinelearningservices.kotlin.inputs.EndpointDeploymentResourcePropertiesArgsBuilder
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.jvm.JvmName
/**
*
* Azure REST API version: 2024-04-01-preview.
* Other available API versions: 2024-07-01-preview.
* ## Example Usage
* ### Create Azure OpenAI Connection Deployment
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var connectionDeployment = new AzureNative.MachineLearningServices.ConnectionDeployment("connectionDeployment", new()
* {
* ConnectionName = "testConnection",
* DeploymentName = "text-davinci-003",
* Properties = new AzureNative.MachineLearningServices.Inputs.EndpointDeploymentResourcePropertiesArgs
* {
* Model = new AzureNative.MachineLearningServices.Inputs.EndpointDeploymentModelArgs
* {
* Format = "OpenAI",
* Name = "text-davinci-003",
* Version = "1",
* },
* VersionUpgradeOption = AzureNative.MachineLearningServices.DeploymentModelVersionUpgradeOption.OnceNewDefaultVersionAvailable,
* },
* ResourceGroupName = "resourceGroup-1",
* WorkspaceName = "testworkspace",
* });
* });
* ```
* ```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.NewConnectionDeployment(ctx, "connectionDeployment", &machinelearningservices.ConnectionDeploymentArgs{
* ConnectionName: pulumi.String("testConnection"),
* DeploymentName: pulumi.String("text-davinci-003"),
* Properties: &machinelearningservices.EndpointDeploymentResourcePropertiesArgs{
* Model: &machinelearningservices.EndpointDeploymentModelArgs{
* Format: pulumi.String("OpenAI"),
* Name: pulumi.String("text-davinci-003"),
* Version: pulumi.String("1"),
* },
* VersionUpgradeOption: pulumi.String(machinelearningservices.DeploymentModelVersionUpgradeOptionOnceNewDefaultVersionAvailable),
* },
* ResourceGroupName: pulumi.String("resourceGroup-1"),
* WorkspaceName: pulumi.String("testworkspace"),
* })
* 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.ConnectionDeployment;
* import com.pulumi.azurenative.machinelearningservices.ConnectionDeploymentArgs;
* import com.pulumi.azurenative.machinelearningservices.inputs.EndpointDeploymentResourcePropertiesArgs;
* import com.pulumi.azurenative.machinelearningservices.inputs.EndpointDeploymentModelArgs;
* 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 connectionDeployment = new ConnectionDeployment("connectionDeployment", ConnectionDeploymentArgs.builder()
* .connectionName("testConnection")
* .deploymentName("text-davinci-003")
* .properties(EndpointDeploymentResourcePropertiesArgs.builder()
* .model(EndpointDeploymentModelArgs.builder()
* .format("OpenAI")
* .name("text-davinci-003")
* .version("1")
* .build())
* .versionUpgradeOption("OnceNewDefaultVersionAvailable")
* .build())
* .resourceGroupName("resourceGroup-1")
* .workspaceName("testworkspace")
* .build());
* }
* }
* ```
* ## Import
* An existing resource can be imported using its type token, name, and identifier, e.g.
* ```sh
* $ pulumi import azure-native:machinelearningservices:ConnectionDeployment text-davinci-003 /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/connections/{connectionName}/deployments/{deploymentName}
* ```
* @property connectionName Friendly name of the workspace connection
* @property deploymentName Name of the deployment resource
* @property properties
* @property resourceGroupName The name of the resource group. The name is case insensitive.
* @property sku
* @property workspaceName Azure Machine Learning Workspace Name
*/
public data class ConnectionDeploymentArgs(
public val connectionName: Output? = null,
public val deploymentName: Output? = null,
public val properties: Output? = null,
public val resourceGroupName: Output? = null,
public val sku: Output? = null,
public val workspaceName: Output? = null,
) : ConvertibleToJava {
override fun toJava(): com.pulumi.azurenative.machinelearningservices.ConnectionDeploymentArgs =
com.pulumi.azurenative.machinelearningservices.ConnectionDeploymentArgs.builder()
.connectionName(connectionName?.applyValue({ args0 -> args0 }))
.deploymentName(deploymentName?.applyValue({ args0 -> args0 }))
.properties(properties?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.resourceGroupName(resourceGroupName?.applyValue({ args0 -> args0 }))
.sku(sku?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.workspaceName(workspaceName?.applyValue({ args0 -> args0 })).build()
}
/**
* Builder for [ConnectionDeploymentArgs].
*/
@PulumiTagMarker
public class ConnectionDeploymentArgsBuilder internal constructor() {
private var connectionName: Output? = null
private var deploymentName: Output? = null
private var properties: Output? = null
private var resourceGroupName: Output? = null
private var sku: Output? = null
private var workspaceName: Output? = null
/**
* @param value Friendly name of the workspace connection
*/
@JvmName("numrcxtcsqyevnet")
public suspend fun connectionName(`value`: Output) {
this.connectionName = value
}
/**
* @param value Name of the deployment resource
*/
@JvmName("ovwayjdhxdfthivf")
public suspend fun deploymentName(`value`: Output) {
this.deploymentName = value
}
/**
* @param value
*/
@JvmName("hqxmiopmnakgfxwb")
public suspend fun properties(`value`: Output) {
this.properties = value
}
/**
* @param value The name of the resource group. The name is case insensitive.
*/
@JvmName("oxjuofrwybjbnrlp")
public suspend fun resourceGroupName(`value`: Output) {
this.resourceGroupName = value
}
/**
* @param value
*/
@JvmName("xitjcpryftdnkqxt")
public suspend fun sku(`value`: Output) {
this.sku = value
}
/**
* @param value Azure Machine Learning Workspace Name
*/
@JvmName("irccnmuykmnopjgy")
public suspend fun workspaceName(`value`: Output) {
this.workspaceName = value
}
/**
* @param value Friendly name of the workspace connection
*/
@JvmName("uhacncrsyatchrkl")
public suspend fun connectionName(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.connectionName = mapped
}
/**
* @param value Name of the deployment resource
*/
@JvmName("lsmjrpwxeedsovrn")
public suspend fun deploymentName(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.deploymentName = mapped
}
/**
* @param value
*/
@JvmName("wbfbcppwpooaygna")
public suspend fun properties(`value`: EndpointDeploymentResourcePropertiesArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.properties = mapped
}
/**
* @param argument
*/
@JvmName("tduwugdtljgidnvn")
public suspend fun properties(argument: suspend EndpointDeploymentResourcePropertiesArgsBuilder.() -> Unit) {
val toBeMapped = EndpointDeploymentResourcePropertiesArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.properties = mapped
}
/**
* @param value The name of the resource group. The name is case insensitive.
*/
@JvmName("qyuhonsrnsnwomli")
public suspend fun resourceGroupName(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.resourceGroupName = mapped
}
/**
* @param value
*/
@JvmName("jfwocanoluddqvih")
public suspend fun sku(`value`: CognitiveServicesSkuArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.sku = mapped
}
/**
* @param argument
*/
@JvmName("hnklkobmidfvfbnp")
public suspend fun sku(argument: suspend CognitiveServicesSkuArgsBuilder.() -> Unit) {
val toBeMapped = CognitiveServicesSkuArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.sku = mapped
}
/**
* @param value Azure Machine Learning Workspace Name
*/
@JvmName("bfxibbpuaofdujkm")
public suspend fun workspaceName(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.workspaceName = mapped
}
internal fun build(): ConnectionDeploymentArgs = ConnectionDeploymentArgs(
connectionName = connectionName,
deploymentName = deploymentName,
properties = properties,
resourceGroupName = resourceGroupName,
sku = sku,
workspaceName = workspaceName,
)
}
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