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• HistogramBucketSettings.scala

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io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings.scala Maven / Gradle / Ivy

// Generated by the Scala Plugin for the Protocol Buffer Compiler.
// Do not edit!
//
// Protofile syntax: PROTO3

package io.envoyproxy.envoy.config.metrics.v3

/** Specifies a matcher for stats and the buckets that matching stats should use.
  *
  * @param match
  *   The stats that this rule applies to. The match is applied to the original stat name
  *   before tag-extraction, for example `cluster.exampleclustername.upstream_cx_length_ms`.
  * @param buckets
  *   Each value is the upper bound of a bucket. Each bucket must be greater than 0 and unique.
  *   The order of the buckets does not matter.
  */
@SerialVersionUID(0L)
final case class HistogramBucketSettings(
    `match`: _root_.scala.Option[io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher] = _root_.scala.None,
    buckets: _root_.scala.Seq[_root_.scala.Double] = _root_.scala.Seq.empty,
    unknownFields: _root_.scalapb.UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty
    ) extends scalapb.GeneratedMessage with scalapb.lenses.Updatable[HistogramBucketSettings] {
    private[this] def bucketsSerializedSize = {
      8 * buckets.size
    }
    @transient
    private[this] var __serializedSizeMemoized: _root_.scala.Int = 0
    private[this] def __computeSerializedSize(): _root_.scala.Int = {
      var __size = 0
      if (`match`.isDefined) {
        val __value = `match`.get
        __size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
      };
      if (buckets.nonEmpty) {
        val __localsize = bucketsSerializedSize
        __size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__localsize) + __localsize
      }
      __size += unknownFields.serializedSize
      __size
    }
    override def serializedSize: _root_.scala.Int = {
      var __size = __serializedSizeMemoized
      if (__size == 0) {
        __size = __computeSerializedSize() + 1
        __serializedSizeMemoized = __size
      }
      __size - 1
      
    }
    def writeTo(`_output__`: _root_.com.google.protobuf.CodedOutputStream): _root_.scala.Unit = {
      `match`.foreach { __v =>
        val __m = __v
        _output__.writeTag(1, 2)
        _output__.writeUInt32NoTag(__m.serializedSize)
        __m.writeTo(_output__)
      };
      if (buckets.nonEmpty) {
        _output__.writeTag(2, 2)
        _output__.writeUInt32NoTag(bucketsSerializedSize)
        buckets.foreach(_output__.writeDoubleNoTag)
      };
      unknownFields.writeTo(_output__)
    }
    def getMatch: io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher = `match`.getOrElse(io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher.defaultInstance)
    def clearMatch: HistogramBucketSettings = copy(`match` = _root_.scala.None)
    def withMatch(__v: io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher): HistogramBucketSettings = copy(`match` = Option(__v))
    def clearBuckets = copy(buckets = _root_.scala.Seq.empty)
    def addBuckets(__vs: _root_.scala.Double *): HistogramBucketSettings = addAllBuckets(__vs)
    def addAllBuckets(__vs: Iterable[_root_.scala.Double]): HistogramBucketSettings = copy(buckets = buckets ++ __vs)
    def withBuckets(__v: _root_.scala.Seq[_root_.scala.Double]): HistogramBucketSettings = copy(buckets = __v)
    def withUnknownFields(__v: _root_.scalapb.UnknownFieldSet) = copy(unknownFields = __v)
    def discardUnknownFields = copy(unknownFields = _root_.scalapb.UnknownFieldSet.empty)
    def getFieldByNumber(__fieldNumber: _root_.scala.Int): _root_.scala.Any = {
      (__fieldNumber: @_root_.scala.unchecked) match {
        case 1 => `match`.orNull
        case 2 => buckets
      }
    }
    def getField(__field: _root_.scalapb.descriptors.FieldDescriptor): _root_.scalapb.descriptors.PValue = {
      _root_.scala.Predef.require(__field.containingMessage eq companion.scalaDescriptor)
      (__field.number: @_root_.scala.unchecked) match {
        case 1 => `match`.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
        case 2 => _root_.scalapb.descriptors.PRepeated(buckets.iterator.map(_root_.scalapb.descriptors.PDouble(_)).toVector)
      }
    }
    def toProtoString: _root_.scala.Predef.String = _root_.scalapb.TextFormat.printToUnicodeString(this)
    def companion: io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings.type = io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings
    // @@protoc_insertion_point(GeneratedMessage[envoy.config.metrics.v3.HistogramBucketSettings])
}

object HistogramBucketSettings extends scalapb.GeneratedMessageCompanion[io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings] {
  implicit def messageCompanion: scalapb.GeneratedMessageCompanion[io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings] = this
  def parseFrom(`_input__`: _root_.com.google.protobuf.CodedInputStream): io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings = {
    var __match: _root_.scala.Option[io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher] = _root_.scala.None
    val __buckets: _root_.scala.collection.immutable.VectorBuilder[_root_.scala.Double] = new _root_.scala.collection.immutable.VectorBuilder[_root_.scala.Double]
    var `_unknownFields__`: _root_.scalapb.UnknownFieldSet.Builder = null
    var _done__ = false
    while (!_done__) {
      val _tag__ = _input__.readTag()
      _tag__ match {
        case 0 => _done__ = true
        case 10 =>
          __match = Option(__match.fold(_root_.scalapb.LiteParser.readMessage[io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
        case 17 =>
          __buckets += _input__.readDouble()
        case 18 => {
          val length = _input__.readRawVarint32()
          val oldLimit = _input__.pushLimit(length)
          while (_input__.getBytesUntilLimit > 0) {
            __buckets += _input__.readDouble()
          }
          _input__.popLimit(oldLimit)
        }
        case tag =>
          if (_unknownFields__ == null) {
            _unknownFields__ = new _root_.scalapb.UnknownFieldSet.Builder()
          }
          _unknownFields__.parseField(tag, _input__)
      }
    }
    io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings(
        `match` = __match,
        buckets = __buckets.result(),
        unknownFields = if (_unknownFields__ == null) _root_.scalapb.UnknownFieldSet.empty else _unknownFields__.result()
    )
  }
  implicit def messageReads: _root_.scalapb.descriptors.Reads[io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings] = _root_.scalapb.descriptors.Reads{
    case _root_.scalapb.descriptors.PMessage(__fieldsMap) =>
      _root_.scala.Predef.require(__fieldsMap.keys.forall(_.containingMessage eq scalaDescriptor), "FieldDescriptor does not match message type.")
      io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings(
        `match` = __fieldsMap.get(scalaDescriptor.findFieldByNumber(1).get).flatMap(_.as[_root_.scala.Option[io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher]]),
        buckets = __fieldsMap.get(scalaDescriptor.findFieldByNumber(2).get).map(_.as[_root_.scala.Seq[_root_.scala.Double]]).getOrElse(_root_.scala.Seq.empty)
      )
    case _ => throw new RuntimeException("Expected PMessage")
  }
  def javaDescriptor: _root_.com.google.protobuf.Descriptors.Descriptor = StatsProto.javaDescriptor.getMessageTypes().get(4)
  def scalaDescriptor: _root_.scalapb.descriptors.Descriptor = StatsProto.scalaDescriptor.messages(4)
  def messageCompanionForFieldNumber(__number: _root_.scala.Int): _root_.scalapb.GeneratedMessageCompanion[_] = {
    var __out: _root_.scalapb.GeneratedMessageCompanion[_] = null
    (__number: @_root_.scala.unchecked) match {
      case 1 => __out = io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher
    }
    __out
  }
  lazy val nestedMessagesCompanions: Seq[_root_.scalapb.GeneratedMessageCompanion[_ <: _root_.scalapb.GeneratedMessage]] = Seq.empty
  def enumCompanionForFieldNumber(__fieldNumber: _root_.scala.Int): _root_.scalapb.GeneratedEnumCompanion[_] = throw new MatchError(__fieldNumber)
  lazy val defaultInstance = io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings(
    `match` = _root_.scala.None,
    buckets = _root_.scala.Seq.empty
  )
  implicit class HistogramBucketSettingsLens[UpperPB](_l: _root_.scalapb.lenses.Lens[UpperPB, io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings]) extends _root_.scalapb.lenses.ObjectLens[UpperPB, io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings](_l) {
    def `match`: _root_.scalapb.lenses.Lens[UpperPB, io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher] = field(_.getMatch)((c_, f_) => c_.copy(`match` = Option(f_)))
    def optionalMatch: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Option[io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher]] = field(_.`match`)((c_, f_) => c_.copy(`match` = f_))
    def buckets: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Seq[_root_.scala.Double]] = field(_.buckets)((c_, f_) => c_.copy(buckets = f_))
  }
  final val MATCH_FIELD_NUMBER = 1
  final val BUCKETS_FIELD_NUMBER = 2
  def of(
    `match`: _root_.scala.Option[io.envoyproxy.envoy.`type`.matcher.v3.StringMatcher],
    buckets: _root_.scala.Seq[_root_.scala.Double]
  ): _root_.io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings = _root_.io.envoyproxy.envoy.config.metrics.v3.HistogramBucketSettings(
    `match`,
    buckets
  )
  // @@protoc_insertion_point(GeneratedMessageCompanion[envoy.config.metrics.v3.HistogramBucketSettings])
}