src.dataproc.v1.AutoscalingPolicy.scala Maven / Gradle / Ivy

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package besom.api.googlenative.dataproc.v1

final case class AutoscalingPolicy private(
  urn: besom.types.Output[besom.types.URN],
  id: besom.types.Output[besom.types.ResourceId],
  basicAlgorithm: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.BasicAutoscalingAlgorithmResponse],
  labels: besom.types.Output[scala.Predef.Map[String, String]],
  location: besom.types.Output[String],
  name: besom.types.Output[String],
  project: besom.types.Output[String],
  secondaryWorkerConfig: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.InstanceGroupAutoscalingPolicyConfigResponse],
  workerConfig: besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.InstanceGroupAutoscalingPolicyConfigResponse]
) extends besom.CustomResource

object AutoscalingPolicy extends besom.ResourceCompanion[AutoscalingPolicy]:
  /** Resource constructor for AutoscalingPolicy. 
    * 
    * @param name [[besom.util.NonEmptyString]] The unique (stack-wise) name of the resource in Pulumi state (not on provider's side).
    *        NonEmptyString is inferred automatically from non-empty string literals, even when interpolated. If you encounter any
    *        issues with this, please try using `: NonEmptyString` type annotation. If you need to convert a dynamically generated
    *        string to NonEmptyString, use `NonEmptyString.apply` method - `NonEmptyString(str): Option[NonEmptyString]`.
    *
    * @param args [[AutoscalingPolicyArgs]] The configuration to use to create this resource. 
    *
    * @param opts [[besom.CustomResourceOptions]] Resource options to use for this resource. 
    *        Defaults to empty options. If you need to set some options, use [[besom.opts]] function to create them, for example:
    *  
    *        {{{
    *        val res = AutoscalingPolicy(
    *          "my-resource",
    *          AutoscalingPolicyArgs(...), // your args
    *          opts(provider = myProvider)
    *        )
    *        }}}
    */
  def apply(using ctx: besom.types.Context)(
    name: besom.util.NonEmptyString,
    args: AutoscalingPolicyArgs,
    opts: besom.ResourceOptsVariant.Custom ?=> besom.CustomResourceOptions = besom.CustomResourceOptions()
  ): besom.types.Output[AutoscalingPolicy] =
    ctx.readOrRegisterResource[AutoscalingPolicy, AutoscalingPolicyArgs]("google-native:dataproc/v1:AutoscalingPolicy", name, args, opts(using besom.ResourceOptsVariant.Custom))

  private[besom] def typeToken: besom.types.ResourceType = "google-native:dataproc/v1:AutoscalingPolicy"

  given resourceDecoder(using besom.types.Context): besom.types.ResourceDecoder[AutoscalingPolicy] =
    besom.internal.ResourceDecoder.derived[AutoscalingPolicy]

  given decoder(using besom.types.Context): besom.types.Decoder[AutoscalingPolicy] =
    besom.internal.Decoder.customResourceDecoder[AutoscalingPolicy]


  given outputOps: {} with
    extension(output: besom.types.Output[AutoscalingPolicy])
      def urn : besom.types.Output[besom.types.URN] = output.flatMap(_.urn)
      def id : besom.types.Output[besom.types.ResourceId] = output.flatMap(_.id)
      def basicAlgorithm : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.BasicAutoscalingAlgorithmResponse] = output.flatMap(_.basicAlgorithm)
      def labels : besom.types.Output[scala.Predef.Map[String, String]] = output.flatMap(_.labels)
      def location : besom.types.Output[String] = output.flatMap(_.location)
      def name : besom.types.Output[String] = output.flatMap(_.name)
      def project : besom.types.Output[String] = output.flatMap(_.project)
      def secondaryWorkerConfig : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.InstanceGroupAutoscalingPolicyConfigResponse] = output.flatMap(_.secondaryWorkerConfig)
      def workerConfig : besom.types.Output[besom.api.googlenative.dataproc.v1.outputs.InstanceGroupAutoscalingPolicyConfigResponse] = output.flatMap(_.workerConfig)