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

package com.pulumi.gcp.dataproc.kotlin

import com.pulumi.core.Output
import com.pulumi.gcp.dataproc.kotlin.outputs.AutoscalingPolicyBasicAlgorithm
import com.pulumi.gcp.dataproc.kotlin.outputs.AutoscalingPolicySecondaryWorkerConfig
import com.pulumi.gcp.dataproc.kotlin.outputs.AutoscalingPolicyWorkerConfig
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.gcp.dataproc.kotlin.outputs.AutoscalingPolicyBasicAlgorithm.Companion.toKotlin as autoscalingPolicyBasicAlgorithmToKotlin
import com.pulumi.gcp.dataproc.kotlin.outputs.AutoscalingPolicySecondaryWorkerConfig.Companion.toKotlin as autoscalingPolicySecondaryWorkerConfigToKotlin
import com.pulumi.gcp.dataproc.kotlin.outputs.AutoscalingPolicyWorkerConfig.Companion.toKotlin as autoscalingPolicyWorkerConfigToKotlin

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

    public var args: AutoscalingPolicyArgs = AutoscalingPolicyArgs()

    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 AutoscalingPolicyArgsBuilder.() -> Unit) {
        val builder = AutoscalingPolicyArgsBuilder()
        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(): AutoscalingPolicy {
        val builtJavaResource = com.pulumi.gcp.dataproc.AutoscalingPolicy(
            this.name,
            this.args.toJava(),
            this.opts.toJava(),
        )
        return AutoscalingPolicy(builtJavaResource)
    }
}

/**
 * Describes an autoscaling policy for Dataproc cluster autoscaler.
 * ## Example Usage
 * ### Dataproc Autoscaling Policy
 * 
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 * const asp = new gcp.dataproc.AutoscalingPolicy("asp", {
 *     policyId: "dataproc-policy",
 *     location: "us-central1",
 *     workerConfig: {
 *         maxInstances: 3,
 *     },
 *     basicAlgorithm: {
 *         yarnConfig: {
 *             gracefulDecommissionTimeout: "30s",
 *             scaleUpFactor: 0.5,
 *             scaleDownFactor: 0.5,
 *         },
 *     },
 * });
 * const basic = new gcp.dataproc.Cluster("basic", {
 *     name: "dataproc-policy",
 *     region: "us-central1",
 *     clusterConfig: {
 *         autoscalingConfig: {
 *             policyUri: asp.name,
 *         },
 *     },
 * });
 * ```
 * ```python
 * import pulumi
 * import pulumi_gcp as gcp
 * asp = gcp.dataproc.AutoscalingPolicy("asp",
 *     policy_id="dataproc-policy",
 *     location="us-central1",
 *     worker_config=gcp.dataproc.AutoscalingPolicyWorkerConfigArgs(
 *         max_instances=3,
 *     ),
 *     basic_algorithm=gcp.dataproc.AutoscalingPolicyBasicAlgorithmArgs(
 *         yarn_config=gcp.dataproc.AutoscalingPolicyBasicAlgorithmYarnConfigArgs(
 *             graceful_decommission_timeout="30s",
 *             scale_up_factor=0.5,
 *             scale_down_factor=0.5,
 *         ),
 *     ))
 * basic = gcp.dataproc.Cluster("basic",
 *     name="dataproc-policy",
 *     region="us-central1",
 *     cluster_config=gcp.dataproc.ClusterClusterConfigArgs(
 *         autoscaling_config=gcp.dataproc.ClusterClusterConfigAutoscalingConfigArgs(
 *             policy_uri=asp.name,
 *         ),
 *     ))
 * ```
 * ```csharp
 * using System.Collections.Generic;
 * using System.Linq;
 * using Pulumi;
 * using Gcp = Pulumi.Gcp;
 * return await Deployment.RunAsync(() =>
 * {
 *     var asp = new Gcp.Dataproc.AutoscalingPolicy("asp", new()
 *     {
 *         PolicyId = "dataproc-policy",
 *         Location = "us-central1",
 *         WorkerConfig = new Gcp.Dataproc.Inputs.AutoscalingPolicyWorkerConfigArgs
 *         {
 *             MaxInstances = 3,
 *         },
 *         BasicAlgorithm = new Gcp.Dataproc.Inputs.AutoscalingPolicyBasicAlgorithmArgs
 *         {
 *             YarnConfig = new Gcp.Dataproc.Inputs.AutoscalingPolicyBasicAlgorithmYarnConfigArgs
 *             {
 *                 GracefulDecommissionTimeout = "30s",
 *                 ScaleUpFactor = 0.5,
 *                 ScaleDownFactor = 0.5,
 *             },
 *         },
 *     });
 *     var basic = new Gcp.Dataproc.Cluster("basic", new()
 *     {
 *         Name = "dataproc-policy",
 *         Region = "us-central1",
 *         ClusterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigArgs
 *         {
 *             AutoscalingConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigAutoscalingConfigArgs
 *             {
 *                 PolicyUri = asp.Name,
 *             },
 *         },
 *     });
 * });
 * ```
 * ```go
 * package main
 * import (
 * 	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/dataproc"
 * 	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
 * )
 * func main() {
 * 	pulumi.Run(func(ctx *pulumi.Context) error {
 * 		asp, err := dataproc.NewAutoscalingPolicy(ctx, "asp", &dataproc.AutoscalingPolicyArgs{
 * 			PolicyId: pulumi.String("dataproc-policy"),
 * 			Location: pulumi.String("us-central1"),
 * 			WorkerConfig: &dataproc.AutoscalingPolicyWorkerConfigArgs{
 * 				MaxInstances: pulumi.Int(3),
 * 			},
 * 			BasicAlgorithm: &dataproc.AutoscalingPolicyBasicAlgorithmArgs{
 * 				YarnConfig: &dataproc.AutoscalingPolicyBasicAlgorithmYarnConfigArgs{
 * 					GracefulDecommissionTimeout: pulumi.String("30s"),
 * 					ScaleUpFactor:               pulumi.Float64(0.5),
 * 					ScaleDownFactor:             pulumi.Float64(0.5),
 * 				},
 * 			},
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		_, err = dataproc.NewCluster(ctx, "basic", &dataproc.ClusterArgs{
 * 			Name:   pulumi.String("dataproc-policy"),
 * 			Region: pulumi.String("us-central1"),
 * 			ClusterConfig: &dataproc.ClusterClusterConfigArgs{
 * 				AutoscalingConfig: &dataproc.ClusterClusterConfigAutoscalingConfigArgs{
 * 					PolicyUri: asp.Name,
 * 				},
 * 			},
 * 		})
 * 		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.gcp.dataproc.AutoscalingPolicy;
 * import com.pulumi.gcp.dataproc.AutoscalingPolicyArgs;
 * import com.pulumi.gcp.dataproc.inputs.AutoscalingPolicyWorkerConfigArgs;
 * import com.pulumi.gcp.dataproc.inputs.AutoscalingPolicyBasicAlgorithmArgs;
 * import com.pulumi.gcp.dataproc.inputs.AutoscalingPolicyBasicAlgorithmYarnConfigArgs;
 * import com.pulumi.gcp.dataproc.Cluster;
 * import com.pulumi.gcp.dataproc.ClusterArgs;
 * import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigArgs;
 * import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigAutoscalingConfigArgs;
 * 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 asp = new AutoscalingPolicy("asp", AutoscalingPolicyArgs.builder()
 *             .policyId("dataproc-policy")
 *             .location("us-central1")
 *             .workerConfig(AutoscalingPolicyWorkerConfigArgs.builder()
 *                 .maxInstances(3)
 *                 .build())
 *             .basicAlgorithm(AutoscalingPolicyBasicAlgorithmArgs.builder()
 *                 .yarnConfig(AutoscalingPolicyBasicAlgorithmYarnConfigArgs.builder()
 *                     .gracefulDecommissionTimeout("30s")
 *                     .scaleUpFactor(0.5)
 *                     .scaleDownFactor(0.5)
 *                     .build())
 *                 .build())
 *             .build());
 *         var basic = new Cluster("basic", ClusterArgs.builder()
 *             .name("dataproc-policy")
 *             .region("us-central1")
 *             .clusterConfig(ClusterClusterConfigArgs.builder()
 *                 .autoscalingConfig(ClusterClusterConfigAutoscalingConfigArgs.builder()
 *                     .policyUri(asp.name())
 *                     .build())
 *                 .build())
 *             .build());
 *     }
 * }
 * ```
 * ```yaml
 * resources:
 *   basic:
 *     type: gcp:dataproc:Cluster
 *     properties:
 *       name: dataproc-policy
 *       region: us-central1
 *       clusterConfig:
 *         autoscalingConfig:
 *           policyUri: ${asp.name}
 *   asp:
 *     type: gcp:dataproc:AutoscalingPolicy
 *     properties:
 *       policyId: dataproc-policy
 *       location: us-central1
 *       workerConfig:
 *         maxInstances: 3
 *       basicAlgorithm:
 *         yarnConfig:
 *           gracefulDecommissionTimeout: 30s
 *           scaleUpFactor: 0.5
 *           scaleDownFactor: 0.5
 * ```
 * 
 * ## Import
 * AutoscalingPolicy can be imported using any of these accepted formats:
 * * `projects/{{project}}/locations/{{location}}/autoscalingPolicies/{{policy_id}}`
 * * `{{project}}/{{location}}/{{policy_id}}`
 * * `{{location}}/{{policy_id}}`
 * When using the `pulumi import` command, AutoscalingPolicy can be imported using one of the formats above. For example:
 * ```sh
 * $ pulumi import gcp:dataproc/autoscalingPolicy:AutoscalingPolicy default projects/{{project}}/locations/{{location}}/autoscalingPolicies/{{policy_id}}
 * ```
 * ```sh
 * $ pulumi import gcp:dataproc/autoscalingPolicy:AutoscalingPolicy default {{project}}/{{location}}/{{policy_id}}
 * ```
 * ```sh
 * $ pulumi import gcp:dataproc/autoscalingPolicy:AutoscalingPolicy default {{location}}/{{policy_id}}
 * ```
 */
public class AutoscalingPolicy internal constructor(
    override val javaResource: com.pulumi.gcp.dataproc.AutoscalingPolicy,
) : KotlinCustomResource(javaResource, AutoscalingPolicyMapper) {
    /**
     * Basic algorithm for autoscaling.
     * Structure is documented below.
     */
    public val basicAlgorithm: Output?
        get() = javaResource.basicAlgorithm().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.let({ args0 -> autoscalingPolicyBasicAlgorithmToKotlin(args0) })
            }).orElse(null)
        })

    /**
     * The  location where the autoscaling policy should reside.
     * The default value is `global`.
     */
    public val location: Output?
        get() = javaResource.location().applyValue({ args0 -> args0.map({ args0 -> args0 }).orElse(null) })

    /**
     * The "resource name" of the autoscaling policy.
     */
    public val name: Output
        get() = javaResource.name().applyValue({ args0 -> args0 })

    /**
     * The policy id. The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_),
     * and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between
     * 3 and 50 characters.
     * - - -
     */
    public val policyId: Output
        get() = javaResource.policyId().applyValue({ args0 -> args0 })

    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    public val project: Output
        get() = javaResource.project().applyValue({ args0 -> args0 })

    /**
     * Describes how the autoscaler will operate for secondary workers.
     * Structure is documented below.
     */
    public val secondaryWorkerConfig: Output?
        get() = javaResource.secondaryWorkerConfig().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.let({ args0 -> autoscalingPolicySecondaryWorkerConfigToKotlin(args0) })
            }).orElse(null)
        })

    /**
     * Describes how the autoscaler will operate for primary workers.
     * Structure is documented below.
     */
    public val workerConfig: Output?
        get() = javaResource.workerConfig().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.let({ args0 ->
                    autoscalingPolicyWorkerConfigToKotlin(args0)
                })
            }).orElse(null)
        })
}

public object AutoscalingPolicyMapper : ResourceMapper {
    override fun supportsMappingOfType(javaResource: Resource): Boolean =
        com.pulumi.gcp.dataproc.AutoscalingPolicy::class == javaResource::class

    override fun map(javaResource: Resource): AutoscalingPolicy = AutoscalingPolicy(
        javaResource as
            com.pulumi.gcp.dataproc.AutoscalingPolicy,
    )
}

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

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




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