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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.azure.machinelearning.kotlin

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 kotlin.collections.Map

/**
 * Builder for [DatastoreBlobstorage].
 */
@PulumiTagMarker
public class DatastoreBlobstorageResourceBuilder internal constructor() {
    public var name: String? = null

    public var args: DatastoreBlobstorageArgs = DatastoreBlobstorageArgs()

    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 DatastoreBlobstorageArgsBuilder.() -> Unit) {
        val builder = DatastoreBlobstorageArgsBuilder()
        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(): DatastoreBlobstorage {
        val builtJavaResource =
            com.pulumi.azure.machinelearning.DatastoreBlobstorage(
                this.name,
                this.args.toJava(),
                this.opts.toJava(),
            )
        return DatastoreBlobstorage(builtJavaResource)
    }
}

/**
 * Manages a Machine Learning Blob Storage DataStore.
 * ## Example Usage
 * ### With Azure Blob
 * 
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as azure from "@pulumi/azure";
 * const current = azure.core.getClientConfig({});
 * const example = new azure.core.ResourceGroup("example", {
 *     name: "example-resources",
 *     location: "West Europe",
 * });
 * const exampleInsights = new azure.appinsights.Insights("example", {
 *     name: "workspace-example-ai",
 *     location: example.location,
 *     resourceGroupName: example.name,
 *     applicationType: "web",
 * });
 * const exampleKeyVault = new azure.keyvault.KeyVault("example", {
 *     name: "workspaceexamplekeyvault",
 *     location: example.location,
 *     resourceGroupName: example.name,
 *     tenantId: current.then(current => current.tenantId),
 *     skuName: "premium",
 * });
 * const exampleAccount = new azure.storage.Account("example", {
 *     name: "workspacestorageaccount",
 *     location: example.location,
 *     resourceGroupName: example.name,
 *     accountTier: "Standard",
 *     accountReplicationType: "GRS",
 * });
 * const exampleWorkspace = new azure.machinelearning.Workspace("example", {
 *     name: "example-workspace",
 *     location: example.location,
 *     resourceGroupName: example.name,
 *     applicationInsightsId: exampleInsights.id,
 *     keyVaultId: exampleKeyVault.id,
 *     storageAccountId: exampleAccount.id,
 *     identity: {
 *         type: "SystemAssigned",
 *     },
 * });
 * const exampleContainer = new azure.storage.Container("example", {
 *     name: "example-container",
 *     storageAccountName: exampleAccount.name,
 *     containerAccessType: "private",
 * });
 * const exampleDatastoreBlobstorage = new azure.machinelearning.DatastoreBlobstorage("example", {
 *     name: "example-datastore",
 *     workspaceId: exampleWorkspace.id,
 *     storageContainerId: exampleContainer.resourceManagerId,
 *     accountKey: exampleAccount.primaryAccessKey,
 * });
 * ```
 * ```python
 * import pulumi
 * import pulumi_azure as azure
 * current = azure.core.get_client_config()
 * example = azure.core.ResourceGroup("example",
 *     name="example-resources",
 *     location="West Europe")
 * example_insights = azure.appinsights.Insights("example",
 *     name="workspace-example-ai",
 *     location=example.location,
 *     resource_group_name=example.name,
 *     application_type="web")
 * example_key_vault = azure.keyvault.KeyVault("example",
 *     name="workspaceexamplekeyvault",
 *     location=example.location,
 *     resource_group_name=example.name,
 *     tenant_id=current.tenant_id,
 *     sku_name="premium")
 * example_account = azure.storage.Account("example",
 *     name="workspacestorageaccount",
 *     location=example.location,
 *     resource_group_name=example.name,
 *     account_tier="Standard",
 *     account_replication_type="GRS")
 * example_workspace = azure.machinelearning.Workspace("example",
 *     name="example-workspace",
 *     location=example.location,
 *     resource_group_name=example.name,
 *     application_insights_id=example_insights.id,
 *     key_vault_id=example_key_vault.id,
 *     storage_account_id=example_account.id,
 *     identity={
 *         "type": "SystemAssigned",
 *     })
 * example_container = azure.storage.Container("example",
 *     name="example-container",
 *     storage_account_name=example_account.name,
 *     container_access_type="private")
 * example_datastore_blobstorage = azure.machinelearning.DatastoreBlobstorage("example",
 *     name="example-datastore",
 *     workspace_id=example_workspace.id,
 *     storage_container_id=example_container.resource_manager_id,
 *     account_key=example_account.primary_access_key)
 * ```
 * ```csharp
 * using System.Collections.Generic;
 * using System.Linq;
 * using Pulumi;
 * using Azure = Pulumi.Azure;
 * return await Deployment.RunAsync(() =>
 * {
 *     var current = Azure.Core.GetClientConfig.Invoke();
 *     var example = new Azure.Core.ResourceGroup("example", new()
 *     {
 *         Name = "example-resources",
 *         Location = "West Europe",
 *     });
 *     var exampleInsights = new Azure.AppInsights.Insights("example", new()
 *     {
 *         Name = "workspace-example-ai",
 *         Location = example.Location,
 *         ResourceGroupName = example.Name,
 *         ApplicationType = "web",
 *     });
 *     var exampleKeyVault = new Azure.KeyVault.KeyVault("example", new()
 *     {
 *         Name = "workspaceexamplekeyvault",
 *         Location = example.Location,
 *         ResourceGroupName = example.Name,
 *         TenantId = current.Apply(getClientConfigResult => getClientConfigResult.TenantId),
 *         SkuName = "premium",
 *     });
 *     var exampleAccount = new Azure.Storage.Account("example", new()
 *     {
 *         Name = "workspacestorageaccount",
 *         Location = example.Location,
 *         ResourceGroupName = example.Name,
 *         AccountTier = "Standard",
 *         AccountReplicationType = "GRS",
 *     });
 *     var exampleWorkspace = new Azure.MachineLearning.Workspace("example", new()
 *     {
 *         Name = "example-workspace",
 *         Location = example.Location,
 *         ResourceGroupName = example.Name,
 *         ApplicationInsightsId = exampleInsights.Id,
 *         KeyVaultId = exampleKeyVault.Id,
 *         StorageAccountId = exampleAccount.Id,
 *         Identity = new Azure.MachineLearning.Inputs.WorkspaceIdentityArgs
 *         {
 *             Type = "SystemAssigned",
 *         },
 *     });
 *     var exampleContainer = new Azure.Storage.Container("example", new()
 *     {
 *         Name = "example-container",
 *         StorageAccountName = exampleAccount.Name,
 *         ContainerAccessType = "private",
 *     });
 *     var exampleDatastoreBlobstorage = new Azure.MachineLearning.DatastoreBlobstorage("example", new()
 *     {
 *         Name = "example-datastore",
 *         WorkspaceId = exampleWorkspace.Id,
 *         StorageContainerId = exampleContainer.ResourceManagerId,
 *         AccountKey = exampleAccount.PrimaryAccessKey,
 *     });
 * });
 * ```
 * ```go
 * package main
 * import (
 * 	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/appinsights"
 * 	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/core"
 * 	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/keyvault"
 * 	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/machinelearning"
 * 	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/storage"
 * 	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
 * )
 * func main() {
 * 	pulumi.Run(func(ctx *pulumi.Context) error {
 * 		current, err := core.GetClientConfig(ctx, nil, nil)
 * 		if err != nil {
 * 			return err
 * 		}
 * 		example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
 * 			Name:     pulumi.String("example-resources"),
 * 			Location: pulumi.String("West Europe"),
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		exampleInsights, err := appinsights.NewInsights(ctx, "example", &appinsights.InsightsArgs{
 * 			Name:              pulumi.String("workspace-example-ai"),
 * 			Location:          example.Location,
 * 			ResourceGroupName: example.Name,
 * 			ApplicationType:   pulumi.String("web"),
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		exampleKeyVault, err := keyvault.NewKeyVault(ctx, "example", &keyvault.KeyVaultArgs{
 * 			Name:              pulumi.String("workspaceexamplekeyvault"),
 * 			Location:          example.Location,
 * 			ResourceGroupName: example.Name,
 * 			TenantId:          pulumi.String(current.TenantId),
 * 			SkuName:           pulumi.String("premium"),
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		exampleAccount, err := storage.NewAccount(ctx, "example", &storage.AccountArgs{
 * 			Name:                   pulumi.String("workspacestorageaccount"),
 * 			Location:               example.Location,
 * 			ResourceGroupName:      example.Name,
 * 			AccountTier:            pulumi.String("Standard"),
 * 			AccountReplicationType: pulumi.String("GRS"),
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		exampleWorkspace, err := machinelearning.NewWorkspace(ctx, "example", &machinelearning.WorkspaceArgs{
 * 			Name:                  pulumi.String("example-workspace"),
 * 			Location:              example.Location,
 * 			ResourceGroupName:     example.Name,
 * 			ApplicationInsightsId: exampleInsights.ID(),
 * 			KeyVaultId:            exampleKeyVault.ID(),
 * 			StorageAccountId:      exampleAccount.ID(),
 * 			Identity: &machinelearning.WorkspaceIdentityArgs{
 * 				Type: pulumi.String("SystemAssigned"),
 * 			},
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		exampleContainer, err := storage.NewContainer(ctx, "example", &storage.ContainerArgs{
 * 			Name:                pulumi.String("example-container"),
 * 			StorageAccountName:  exampleAccount.Name,
 * 			ContainerAccessType: pulumi.String("private"),
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		_, err = machinelearning.NewDatastoreBlobstorage(ctx, "example", &machinelearning.DatastoreBlobstorageArgs{
 * 			Name:               pulumi.String("example-datastore"),
 * 			WorkspaceId:        exampleWorkspace.ID(),
 * 			StorageContainerId: exampleContainer.ResourceManagerId,
 * 			AccountKey:         exampleAccount.PrimaryAccessKey,
 * 		})
 * 		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.azure.core.CoreFunctions;
 * import com.pulumi.azure.core.ResourceGroup;
 * import com.pulumi.azure.core.ResourceGroupArgs;
 * import com.pulumi.azure.appinsights.Insights;
 * import com.pulumi.azure.appinsights.InsightsArgs;
 * import com.pulumi.azure.keyvault.KeyVault;
 * import com.pulumi.azure.keyvault.KeyVaultArgs;
 * import com.pulumi.azure.storage.Account;
 * import com.pulumi.azure.storage.AccountArgs;
 * import com.pulumi.azure.machinelearning.Workspace;
 * import com.pulumi.azure.machinelearning.WorkspaceArgs;
 * import com.pulumi.azure.machinelearning.inputs.WorkspaceIdentityArgs;
 * import com.pulumi.azure.storage.Container;
 * import com.pulumi.azure.storage.ContainerArgs;
 * import com.pulumi.azure.machinelearning.DatastoreBlobstorage;
 * import com.pulumi.azure.machinelearning.DatastoreBlobstorageArgs;
 * 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 current = CoreFunctions.getClientConfig();
 *         var example = new ResourceGroup("example", ResourceGroupArgs.builder()
 *             .name("example-resources")
 *             .location("West Europe")
 *             .build());
 *         var exampleInsights = new Insights("exampleInsights", InsightsArgs.builder()
 *             .name("workspace-example-ai")
 *             .location(example.location())
 *             .resourceGroupName(example.name())
 *             .applicationType("web")
 *             .build());
 *         var exampleKeyVault = new KeyVault("exampleKeyVault", KeyVaultArgs.builder()
 *             .name("workspaceexamplekeyvault")
 *             .location(example.location())
 *             .resourceGroupName(example.name())
 *             .tenantId(current.applyValue(getClientConfigResult -> getClientConfigResult.tenantId()))
 *             .skuName("premium")
 *             .build());
 *         var exampleAccount = new Account("exampleAccount", AccountArgs.builder()
 *             .name("workspacestorageaccount")
 *             .location(example.location())
 *             .resourceGroupName(example.name())
 *             .accountTier("Standard")
 *             .accountReplicationType("GRS")
 *             .build());
 *         var exampleWorkspace = new Workspace("exampleWorkspace", WorkspaceArgs.builder()
 *             .name("example-workspace")
 *             .location(example.location())
 *             .resourceGroupName(example.name())
 *             .applicationInsightsId(exampleInsights.id())
 *             .keyVaultId(exampleKeyVault.id())
 *             .storageAccountId(exampleAccount.id())
 *             .identity(WorkspaceIdentityArgs.builder()
 *                 .type("SystemAssigned")
 *                 .build())
 *             .build());
 *         var exampleContainer = new Container("exampleContainer", ContainerArgs.builder()
 *             .name("example-container")
 *             .storageAccountName(exampleAccount.name())
 *             .containerAccessType("private")
 *             .build());
 *         var exampleDatastoreBlobstorage = new DatastoreBlobstorage("exampleDatastoreBlobstorage", DatastoreBlobstorageArgs.builder()
 *             .name("example-datastore")
 *             .workspaceId(exampleWorkspace.id())
 *             .storageContainerId(exampleContainer.resourceManagerId())
 *             .accountKey(exampleAccount.primaryAccessKey())
 *             .build());
 *     }
 * }
 * ```
 * ```yaml
 * resources:
 *   example:
 *     type: azure:core:ResourceGroup
 *     properties:
 *       name: example-resources
 *       location: West Europe
 *   exampleInsights:
 *     type: azure:appinsights:Insights
 *     name: example
 *     properties:
 *       name: workspace-example-ai
 *       location: ${example.location}
 *       resourceGroupName: ${example.name}
 *       applicationType: web
 *   exampleKeyVault:
 *     type: azure:keyvault:KeyVault
 *     name: example
 *     properties:
 *       name: workspaceexamplekeyvault
 *       location: ${example.location}
 *       resourceGroupName: ${example.name}
 *       tenantId: ${current.tenantId}
 *       skuName: premium
 *   exampleAccount:
 *     type: azure:storage:Account
 *     name: example
 *     properties:
 *       name: workspacestorageaccount
 *       location: ${example.location}
 *       resourceGroupName: ${example.name}
 *       accountTier: Standard
 *       accountReplicationType: GRS
 *   exampleWorkspace:
 *     type: azure:machinelearning:Workspace
 *     name: example
 *     properties:
 *       name: example-workspace
 *       location: ${example.location}
 *       resourceGroupName: ${example.name}
 *       applicationInsightsId: ${exampleInsights.id}
 *       keyVaultId: ${exampleKeyVault.id}
 *       storageAccountId: ${exampleAccount.id}
 *       identity:
 *         type: SystemAssigned
 *   exampleContainer:
 *     type: azure:storage:Container
 *     name: example
 *     properties:
 *       name: example-container
 *       storageAccountName: ${exampleAccount.name}
 *       containerAccessType: private
 *   exampleDatastoreBlobstorage:
 *     type: azure:machinelearning:DatastoreBlobstorage
 *     name: example
 *     properties:
 *       name: example-datastore
 *       workspaceId: ${exampleWorkspace.id}
 *       storageContainerId: ${exampleContainer.resourceManagerId}
 *       accountKey: ${exampleAccount.primaryAccessKey}
 * variables:
 *   current:
 *     fn::invoke:
 *       Function: azure:core:getClientConfig
 *       Arguments: {}
 * ```
 * 
 * ## Import
 * Machine Learning DataStores can be imported using the `resource id`, e.g.
 * ```sh
 * $ pulumi import azure:machinelearning/datastoreBlobstorage:DatastoreBlobstorage example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.MachineLearningServices/workspaces/mlw1/dataStores/datastore1
 * ```
 */
public class DatastoreBlobstorage internal constructor(
    override val javaResource: com.pulumi.azure.machinelearning.DatastoreBlobstorage,
) : KotlinCustomResource(javaResource, DatastoreBlobstorageMapper) {
    /**
     * The access key of the Storage Account. Conflicts with `shared_access_signature`.
     */
    public val accountKey: Output?
        get() = javaResource.accountKey().applyValue({ args0 ->
            args0.map({ args0 ->
                args0
            }).orElse(null)
        })

    /**
     * Text used to describe the asset. Changing this forces a new Machine Learning DataStore to be created.
     */
    public val description: Output?
        get() = javaResource.description().applyValue({ args0 ->
            args0.map({ args0 ->
                args0
            }).orElse(null)
        })

    /**
     * Specifies whether this Machines Learning DataStore is the default for the Workspace. Defaults to `false`.
     * > **Note:** `is_default` can only be set to `true` on update.
     */
    public val isDefault: Output?
        get() = javaResource.isDefault().applyValue({ args0 -> args0.map({ args0 -> args0 }).orElse(null) })

    /**
     * The name of the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
     */
    public val name: Output
        get() = javaResource.name().applyValue({ args0 -> args0 })

    /**
     * Specifies which identity to use when retrieving data from the specified source. Defaults to `None`. Possible values are `None`, `WorkspaceSystemAssignedIdentity` and `WorkspaceUserAssignedIdentity`.
     */
    public val serviceDataAuthIdentity: Output?
        get() = javaResource.serviceDataAuthIdentity().applyValue({ args0 ->
            args0.map({ args0 ->
                args0
            }).orElse(null)
        })

    /**
     * The Shared Access Signature of the Storage Account. Conflicts with `account_key`.
     * > **Note:**  One of `account_key` or `shared_access_signature` must be specified.
     */
    public val sharedAccessSignature: Output?
        get() = javaResource.sharedAccessSignature().applyValue({ args0 ->
            args0.map({ args0 ->
                args0
            }).orElse(null)
        })

    /**
     * The ID of the Storage Account Container. Changing this forces a new Machine Learning DataStore to be created.
     */
    public val storageContainerId: Output
        get() = javaResource.storageContainerId().applyValue({ args0 -> args0 })

    /**
     * A mapping of tags which should be assigned to the Machine Learning DataStore. Changing this forces a new Machine Learning DataStore to be created.
     */
    public val tags: Output>?
        get() = javaResource.tags().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.map({ args0 ->
                    args0.key.to(args0.value)
                }).toMap()
            }).orElse(null)
        })

    /**
     * The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning DataStore to be created.
     */
    public val workspaceId: Output
        get() = javaResource.workspaceId().applyValue({ args0 -> args0 })
}

public object DatastoreBlobstorageMapper : ResourceMapper {
    override fun supportsMappingOfType(javaResource: Resource): Boolean =
        com.pulumi.azure.machinelearning.DatastoreBlobstorage::class == javaResource::class

    override fun map(javaResource: Resource): DatastoreBlobstorage = DatastoreBlobstorage(
        javaResource
            as com.pulumi.azure.machinelearning.DatastoreBlobstorage,
    )
}

/**
 * @see [DatastoreBlobstorage].
 * @param name The _unique_ name of the resulting resource.
 * @param block Builder for [DatastoreBlobstorage].
 */
public suspend fun datastoreBlobstorage(
    name: String,
    block: suspend DatastoreBlobstorageResourceBuilder.() -> Unit,
): DatastoreBlobstorage {
    val builder = DatastoreBlobstorageResourceBuilder()
    builder.name(name)
    block(builder)
    return builder.build()
}

/**
 * @see [DatastoreBlobstorage].
 * @param name The _unique_ name of the resulting resource.
 */
public fun datastoreBlobstorage(name: String): DatastoreBlobstorage {
    val builder = DatastoreBlobstorageResourceBuilder()
    builder.name(name)
    return builder.build()
}




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