com.pulumi.azure.machinelearning.kotlin.MachinelearningFunctions.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.
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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.azure.machinelearning.kotlin

import com.pulumi.azure.machinelearning.MachinelearningFunctions.getWorkspacePlain
import com.pulumi.azure.machinelearning.kotlin.inputs.GetWorkspacePlainArgs
import com.pulumi.azure.machinelearning.kotlin.inputs.GetWorkspacePlainArgsBuilder
import com.pulumi.azure.machinelearning.kotlin.outputs.GetWorkspaceResult
import com.pulumi.azure.machinelearning.kotlin.outputs.GetWorkspaceResult.Companion.toKotlin
import kotlinx.coroutines.future.await
import kotlin.String
import kotlin.Suppress
import kotlin.Unit

public object MachinelearningFunctions {
    /**
     * Use this data source to access information about an existing Machine Learning Workspace.
     * ## Example Usage
     * 
     * ```typescript
     * import * as pulumi from "@pulumi/pulumi";
     * import * as azure from "@pulumi/azure";
     * const existing = azure.machinelearning.getWorkspace({
     *     name: "example-workspace",
     *     resourceGroupName: "example-resources",
     * });
     * export const id = existingAzurermMachineLearningWorkspace.id;
     * ```
     * ```python
     * import pulumi
     * import pulumi_azure as azure
     * existing = azure.machinelearning.get_workspace(name="example-workspace",
     *     resource_group_name="example-resources")
     * pulumi.export("id", existing_azurerm_machine_learning_workspace["id"])
     * ```
     * ```csharp
     * using System.Collections.Generic;
     * using System.Linq;
     * using Pulumi;
     * using Azure = Pulumi.Azure;
     * return await Deployment.RunAsync(() =>
     * {
     *     var existing = Azure.MachineLearning.GetWorkspace.Invoke(new()
     *     {
     *         Name = "example-workspace",
     *         ResourceGroupName = "example-resources",
     *     });
     *     return new Dictionary
     *     {
     *         ["id"] = existingAzurermMachineLearningWorkspace.Id,
     *     };
     * });
     * ```
     * ```go
     * package main
     * import (
     * 	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/machinelearning"
     * 	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
     * )
     * func main() {
     * 	pulumi.Run(func(ctx *pulumi.Context) error {
     * 		_, err := machinelearning.LookupWorkspace(ctx, &machinelearning.LookupWorkspaceArgs{
     * 			Name:              "example-workspace",
     * 			ResourceGroupName: "example-resources",
     * 		}, nil)
     * 		if err != nil {
     * 			return err
     * 		}
     * 		ctx.Export("id", existingAzurermMachineLearningWorkspace.Id)
     * 		return nil
     * 	})
     * }
     * ```
     * ```java
     * package generated_program;
     * import com.pulumi.Context;
     * import com.pulumi.Pulumi;
     * import com.pulumi.core.Output;
     * import com.pulumi.azure.machinelearning.MachinelearningFunctions;
     * import com.pulumi.azure.machinelearning.inputs.GetWorkspaceArgs;
     * 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) {
     *         final var existing = MachinelearningFunctions.getWorkspace(GetWorkspaceArgs.builder()
     *             .name("example-workspace")
     *             .resourceGroupName("example-resources")
     *             .build());
     *         ctx.export("id", existingAzurermMachineLearningWorkspace.id());
     *     }
     * }
     * ```
     * ```yaml
     * variables:
     *   existing:
     *     fn::invoke:
     *       Function: azure:machinelearning:getWorkspace
     *       Arguments:
     *         name: example-workspace
     *         resourceGroupName: example-resources
     * outputs:
     *   id: ${existingAzurermMachineLearningWorkspace.id}
     * ```
     * 
     * @param argument A collection of arguments for invoking getWorkspace.
     * @return A collection of values returned by getWorkspace.
     */
    public suspend fun getWorkspace(argument: GetWorkspacePlainArgs): GetWorkspaceResult =
        toKotlin(getWorkspacePlain(argument.toJava()).await())

    /**
     * @see [getWorkspace].
     * @param name The name of the Machine Learning Workspace exists.
     * @param resourceGroupName The name of the Resource Group where the Machine Learning Workspace exists.
     * @return A collection of values returned by getWorkspace.
     */
    public suspend fun getWorkspace(name: String, resourceGroupName: String): GetWorkspaceResult {
        val argument = GetWorkspacePlainArgs(
            name = name,
            resourceGroupName = resourceGroupName,
        )
        return toKotlin(getWorkspacePlain(argument.toJava()).await())
    }

    /**
     * @see [getWorkspace].
     * @param argument Builder for [com.pulumi.azure.machinelearning.kotlin.inputs.GetWorkspacePlainArgs].
     * @return A collection of values returned by getWorkspace.
     */
    public suspend fun getWorkspace(argument: suspend GetWorkspacePlainArgsBuilder.() -> Unit): GetWorkspaceResult {
        val builder = GetWorkspacePlainArgsBuilder()
        builder.argument()
        val builtArgument = builder.build()
        return toKotlin(getWorkspacePlain(builtArgument.toJava()).await())
    }
}