pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin/EnvironmentSpecificationVersionArgs

EnvironmentSpecificationVersionArgs

data class EnvironmentSpecificationVersionArgs(val name: Output<String>? = null, val properties: Output<EnvironmentSpecificationVersionArgs>? = null, val resourceGroupName: Output<String>? = null, val version: Output<String>? = null, val workspaceName: Output<String>? = null) : ConvertibleToJava<EnvironmentSpecificationVersionArgs>

Azure Resource Manager resource envelope. API Version: 2021-03-01-preview.

Example Usage

CreateOrUpdate Environment Specification Version.

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var environmentSpecificationVersion = new AzureNative.MachineLearningServices.EnvironmentSpecificationVersion("environmentSpecificationVersion", new()
    {
        Name = "testEnvironment",
        Properties = new AzureNative.MachineLearningServices.Inputs.EnvironmentSpecificationVersionArgs
        {
            CondaFile = @"channels:
- defaults
dependencies:
- python=3.7.7
name: my-env",
            Description = "string",
            Docker = new AzureNative.MachineLearningServices.Inputs.DockerBuildArgs
            {
                DockerSpecificationType = "Build",
                Dockerfile = "FROM myimage",
            },
            Properties =
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            Tags =
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
        },
        ResourceGroupName = "testrg123",
        Version = "1",
        WorkspaceName = "testworkspace",
    });
});

package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewEnvironmentSpecificationVersion(ctx, "environmentSpecificationVersion", &machinelearningservices.EnvironmentSpecificationVersionArgs{
			Name: pulumi.String("testEnvironment"),
			Properties: machinelearningservices.EnvironmentSpecificationVersionResponse{
				CondaFile:   pulumi.String("channels:\n- defaults\ndependencies:\n- python=3.7.7\nname: my-env"),
				Description: pulumi.String("string"),
				Docker: machinelearningservices.DockerBuild{
					DockerSpecificationType: "Build",
					Dockerfile:              "FROM myimage",
				},
				Properties: pulumi.StringMap{
					"additionalProp1": pulumi.String("string"),
					"additionalProp2": pulumi.String("string"),
					"additionalProp3": pulumi.String("string"),
				},
				Tags: pulumi.StringMap{
					"additionalProp1": pulumi.String("string"),
					"additionalProp2": pulumi.String("string"),
					"additionalProp3": pulumi.String("string"),
				},
			},
			ResourceGroupName: pulumi.String("testrg123"),
			Version:           pulumi.String("1"),
			WorkspaceName:     pulumi.String("testworkspace"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.EnvironmentSpecificationVersion;
import com.pulumi.azurenative.machinelearningservices.EnvironmentSpecificationVersionArgs;
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 environmentSpecificationVersion = new EnvironmentSpecificationVersion("environmentSpecificationVersion", EnvironmentSpecificationVersionArgs.builder()
            .name("testEnvironment")
            .properties(Map.ofEntries(
                Map.entry("condaFile", """
channels:
- defaults
dependencies:
- python=3.7.7
name: my-env                """),
                Map.entry("description", "string"),
                Map.entry("docker", Map.ofEntries(
                    Map.entry("dockerSpecificationType", "Build"),
                    Map.entry("dockerfile", "FROM myimage")
                )),
                Map.entry("properties", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                )),
                Map.entry("tags", Map.ofEntries(
                    Map.entry("additionalProp1", "string"),
                    Map.entry("additionalProp2", "string"),
                    Map.entry("additionalProp3", "string")
                ))
            ))
            .resourceGroupName("testrg123")
            .version("1")
            .workspaceName("testworkspace")
            .build());
    }
}

Import

An existing resource can be imported using its type token, name, and identifier, e.g.

$ pulumi import azure-native:machinelearningservices:EnvironmentSpecificationVersion 1 /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/testEnvironment/versions/1

Constructors

EnvironmentSpecificationVersionArgs

constructor(name: Output<String>? = null, properties: Output<EnvironmentSpecificationVersionArgs>? = null, resourceGroupName: Output<String>? = null, version: Output<String>? = null, workspaceName: Output<String>? = null)