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• BatchArgs.scala

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

package besom.api.googlenative.dataproc.v1

final case class BatchArgs private(
  batchId: besom.types.Output[scala.Option[String]],
  environmentConfig: besom.types.Output[scala.Option[besom.api.googlenative.dataproc.v1.inputs.EnvironmentConfigArgs]],
  labels: besom.types.Output[scala.Option[scala.Predef.Map[String, String]]],
  location: besom.types.Output[scala.Option[String]],
  project: besom.types.Output[scala.Option[String]],
  pysparkBatch: besom.types.Output[scala.Option[besom.api.googlenative.dataproc.v1.inputs.PySparkBatchArgs]],
  requestId: besom.types.Output[scala.Option[String]],
  runtimeConfig: besom.types.Output[scala.Option[besom.api.googlenative.dataproc.v1.inputs.RuntimeConfigArgs]],
  sparkBatch: besom.types.Output[scala.Option[besom.api.googlenative.dataproc.v1.inputs.SparkBatchArgs]],
  sparkRBatch: besom.types.Output[scala.Option[besom.api.googlenative.dataproc.v1.inputs.SparkRBatchArgs]],
  sparkSqlBatch: besom.types.Output[scala.Option[besom.api.googlenative.dataproc.v1.inputs.SparkSqlBatchArgs]]
)

object BatchArgs:
  def apply(
    batchId: besom.types.Input.Optional[String] = scala.None,
    environmentConfig: besom.types.Input.Optional[besom.api.googlenative.dataproc.v1.inputs.EnvironmentConfigArgs] = scala.None,
    labels: besom.types.Input.Optional[scala.Predef.Map[String, besom.types.Input[String]]] = scala.None,
    location: besom.types.Input.Optional[String] = scala.None,
    project: besom.types.Input.Optional[String] = scala.None,
    pysparkBatch: besom.types.Input.Optional[besom.api.googlenative.dataproc.v1.inputs.PySparkBatchArgs] = scala.None,
    requestId: besom.types.Input.Optional[String] = scala.None,
    runtimeConfig: besom.types.Input.Optional[besom.api.googlenative.dataproc.v1.inputs.RuntimeConfigArgs] = scala.None,
    sparkBatch: besom.types.Input.Optional[besom.api.googlenative.dataproc.v1.inputs.SparkBatchArgs] = scala.None,
    sparkRBatch: besom.types.Input.Optional[besom.api.googlenative.dataproc.v1.inputs.SparkRBatchArgs] = scala.None,
    sparkSqlBatch: besom.types.Input.Optional[besom.api.googlenative.dataproc.v1.inputs.SparkSqlBatchArgs] = scala.None
  )(using besom.types.Context): BatchArgs =
    new BatchArgs(
      batchId = batchId.asOptionOutput(isSecret = false),
      environmentConfig = environmentConfig.asOptionOutput(isSecret = false),
      labels = labels.asOptionOutput(isSecret = false),
      location = location.asOptionOutput(isSecret = false),
      project = project.asOptionOutput(isSecret = false),
      pysparkBatch = pysparkBatch.asOptionOutput(isSecret = false),
      requestId = requestId.asOptionOutput(isSecret = false),
      runtimeConfig = runtimeConfig.asOptionOutput(isSecret = false),
      sparkBatch = sparkBatch.asOptionOutput(isSecret = false),
      sparkRBatch = sparkRBatch.asOptionOutput(isSecret = false),
      sparkSqlBatch = sparkSqlBatch.asOptionOutput(isSecret = false)
    )

  given encoder(using besom.types.Context): besom.types.Encoder[BatchArgs] =
    besom.internal.Encoder.derived[BatchArgs]
  given argsEncoder(using besom.types.Context): besom.types.ArgsEncoder[BatchArgs] =
    besom.internal.ArgsEncoder.derived[BatchArgs]