src.ml.v1.Model.scala Maven / Gradle / Ivy

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package besom.api.googlenative.ml.v1

final case class Model private(
  urn: besom.types.Output[besom.types.URN],
  id: besom.types.Output[besom.types.ResourceId],
  defaultVersion: besom.types.Output[besom.api.googlenative.ml.v1.outputs.GoogleCloudMlV1VersionResponse],
  description: besom.types.Output[String],
  etag: besom.types.Output[String],
  labels: besom.types.Output[scala.Predef.Map[String, String]],
  name: besom.types.Output[String],
  onlinePredictionConsoleLogging: besom.types.Output[Boolean],
  onlinePredictionLogging: besom.types.Output[Boolean],
  project: besom.types.Output[String],
  regions: besom.types.Output[scala.collection.immutable.List[String]]
) extends besom.CustomResource

object Model extends besom.ResourceCompanion[Model]:
  /** Resource constructor for Model. 
    * 
    * @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 [[ModelArgs]] The configuration to use to create this resource. This resource has a default configuration.
    *
    * @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 = Model(
    *          "my-resource",
    *          ModelArgs(...), // your args
    *          opts(provider = myProvider)
    *        )
    *        }}}
    */
  def apply(using ctx: besom.types.Context)(
    name: besom.util.NonEmptyString,
    args: ModelArgs = ModelArgs(),
    opts: besom.ResourceOptsVariant.Custom ?=> besom.CustomResourceOptions = besom.CustomResourceOptions()
  ): besom.types.Output[Model] =
    ctx.readOrRegisterResource[Model, ModelArgs]("google-native:ml/v1:Model", name, args, opts(using besom.ResourceOptsVariant.Custom))

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

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

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


  given outputOps: {} with
    extension(output: besom.types.Output[Model])
      def urn : besom.types.Output[besom.types.URN] = output.flatMap(_.urn)
      def id : besom.types.Output[besom.types.ResourceId] = output.flatMap(_.id)
      def defaultVersion : besom.types.Output[besom.api.googlenative.ml.v1.outputs.GoogleCloudMlV1VersionResponse] = output.flatMap(_.defaultVersion)
      def description : besom.types.Output[String] = output.flatMap(_.description)
      def etag : besom.types.Output[String] = output.flatMap(_.etag)
      def labels : besom.types.Output[scala.Predef.Map[String, String]] = output.flatMap(_.labels)
      def name : besom.types.Output[String] = output.flatMap(_.name)
      def onlinePredictionConsoleLogging : besom.types.Output[Boolean] = output.flatMap(_.onlinePredictionConsoleLogging)
      def onlinePredictionLogging : besom.types.Output[Boolean] = output.flatMap(_.onlinePredictionLogging)
      def project : besom.types.Output[String] = output.flatMap(_.project)
      def regions : besom.types.Output[scala.collection.immutable.List[String]] = output.flatMap(_.regions)