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

package io.opencensus.proto.metrics.v1

/** A collection of data points that describes the time-varying values
  * of a metric.
  *
  * @param startTimestamp
  *   Must be present for cumulative metrics. The time when the cumulative value
  *   was reset to zero. Exclusive. The cumulative value is over the time interval
  *   (start_timestamp, timestamp]. If not specified, the backend can use the
  *   previous recorded value.
  * @param labelValues
  *   The set of label values that uniquely identify this timeseries. Applies to
  *   all points. The order of label values must match that of label keys in the
  *   metric descriptor.
  * @param points
  *   The data points of this timeseries. Point.value type MUST match the
  *   MetricDescriptor.type.
  */
@SerialVersionUID(0L)
final case class TimeSeries(
    startTimestamp: _root_.scala.Option[com.google.protobuf.timestamp.Timestamp] = _root_.scala.None,
    labelValues: _root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelValue] = _root_.scala.Seq.empty,
    points: _root_.scala.Seq[io.opencensus.proto.metrics.v1.Point] = _root_.scala.Seq.empty,
    unknownFields: _root_.scalapb.UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty
    ) extends scalapb.GeneratedMessage with scalapb.lenses.Updatable[TimeSeries] {
    @transient
    private[this] var __serializedSizeMemoized: _root_.scala.Int = 0
    private[this] def __computeSerializedSize(): _root_.scala.Int = {
      var __size = 0
      if (startTimestamp.isDefined) {
        val __value = startTimestamp.get
        __size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
      };
      labelValues.foreach { __item =>
        val __value = __item
        __size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
      }
      points.foreach { __item =>
        val __value = __item
        __size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
      }
      __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 = {
      startTimestamp.foreach { __v =>
        val __m = __v
        _output__.writeTag(1, 2)
        _output__.writeUInt32NoTag(__m.serializedSize)
        __m.writeTo(_output__)
      };
      labelValues.foreach { __v =>
        val __m = __v
        _output__.writeTag(2, 2)
        _output__.writeUInt32NoTag(__m.serializedSize)
        __m.writeTo(_output__)
      };
      points.foreach { __v =>
        val __m = __v
        _output__.writeTag(3, 2)
        _output__.writeUInt32NoTag(__m.serializedSize)
        __m.writeTo(_output__)
      };
      unknownFields.writeTo(_output__)
    }
    def getStartTimestamp: com.google.protobuf.timestamp.Timestamp = startTimestamp.getOrElse(com.google.protobuf.timestamp.Timestamp.defaultInstance)
    def clearStartTimestamp: TimeSeries = copy(startTimestamp = _root_.scala.None)
    def withStartTimestamp(__v: com.google.protobuf.timestamp.Timestamp): TimeSeries = copy(startTimestamp = Option(__v))
    def clearLabelValues = copy(labelValues = _root_.scala.Seq.empty)
    def addLabelValues(__vs: io.opencensus.proto.metrics.v1.LabelValue *): TimeSeries = addAllLabelValues(__vs)
    def addAllLabelValues(__vs: Iterable[io.opencensus.proto.metrics.v1.LabelValue]): TimeSeries = copy(labelValues = labelValues ++ __vs)
    def withLabelValues(__v: _root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelValue]): TimeSeries = copy(labelValues = __v)
    def clearPoints = copy(points = _root_.scala.Seq.empty)
    def addPoints(__vs: io.opencensus.proto.metrics.v1.Point *): TimeSeries = addAllPoints(__vs)
    def addAllPoints(__vs: Iterable[io.opencensus.proto.metrics.v1.Point]): TimeSeries = copy(points = points ++ __vs)
    def withPoints(__v: _root_.scala.Seq[io.opencensus.proto.metrics.v1.Point]): TimeSeries = copy(points = __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 => startTimestamp.orNull
        case 2 => labelValues
        case 3 => points
      }
    }
    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 => startTimestamp.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
        case 2 => _root_.scalapb.descriptors.PRepeated(labelValues.iterator.map(_.toPMessage).toVector)
        case 3 => _root_.scalapb.descriptors.PRepeated(points.iterator.map(_.toPMessage).toVector)
      }
    }
    def toProtoString: _root_.scala.Predef.String = _root_.scalapb.TextFormat.printToUnicodeString(this)
    def companion: io.opencensus.proto.metrics.v1.TimeSeries.type = io.opencensus.proto.metrics.v1.TimeSeries
    // @@protoc_insertion_point(GeneratedMessage[opencensus.proto.metrics.v1.TimeSeries])
}

object TimeSeries extends scalapb.GeneratedMessageCompanion[io.opencensus.proto.metrics.v1.TimeSeries] {
  implicit def messageCompanion: scalapb.GeneratedMessageCompanion[io.opencensus.proto.metrics.v1.TimeSeries] = this
  def parseFrom(`_input__`: _root_.com.google.protobuf.CodedInputStream): io.opencensus.proto.metrics.v1.TimeSeries = {
    var __startTimestamp: _root_.scala.Option[com.google.protobuf.timestamp.Timestamp] = _root_.scala.None
    val __labelValues: _root_.scala.collection.immutable.VectorBuilder[io.opencensus.proto.metrics.v1.LabelValue] = new _root_.scala.collection.immutable.VectorBuilder[io.opencensus.proto.metrics.v1.LabelValue]
    val __points: _root_.scala.collection.immutable.VectorBuilder[io.opencensus.proto.metrics.v1.Point] = new _root_.scala.collection.immutable.VectorBuilder[io.opencensus.proto.metrics.v1.Point]
    var `_unknownFields__`: _root_.scalapb.UnknownFieldSet.Builder = null
    var _done__ = false
    while (!_done__) {
      val _tag__ = _input__.readTag()
      _tag__ match {
        case 0 => _done__ = true
        case 10 =>
          __startTimestamp = Option(__startTimestamp.fold(_root_.scalapb.LiteParser.readMessage[com.google.protobuf.timestamp.Timestamp](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
        case 18 =>
          __labelValues += _root_.scalapb.LiteParser.readMessage[io.opencensus.proto.metrics.v1.LabelValue](_input__)
        case 26 =>
          __points += _root_.scalapb.LiteParser.readMessage[io.opencensus.proto.metrics.v1.Point](_input__)
        case tag =>
          if (_unknownFields__ == null) {
            _unknownFields__ = new _root_.scalapb.UnknownFieldSet.Builder()
          }
          _unknownFields__.parseField(tag, _input__)
      }
    }
    io.opencensus.proto.metrics.v1.TimeSeries(
        startTimestamp = __startTimestamp,
        labelValues = __labelValues.result(),
        points = __points.result(),
        unknownFields = if (_unknownFields__ == null) _root_.scalapb.UnknownFieldSet.empty else _unknownFields__.result()
    )
  }
  implicit def messageReads: _root_.scalapb.descriptors.Reads[io.opencensus.proto.metrics.v1.TimeSeries] = _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.opencensus.proto.metrics.v1.TimeSeries(
        startTimestamp = __fieldsMap.get(scalaDescriptor.findFieldByNumber(1).get).flatMap(_.as[_root_.scala.Option[com.google.protobuf.timestamp.Timestamp]]),
        labelValues = __fieldsMap.get(scalaDescriptor.findFieldByNumber(2).get).map(_.as[_root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelValue]]).getOrElse(_root_.scala.Seq.empty),
        points = __fieldsMap.get(scalaDescriptor.findFieldByNumber(3).get).map(_.as[_root_.scala.Seq[io.opencensus.proto.metrics.v1.Point]]).getOrElse(_root_.scala.Seq.empty)
      )
    case _ => throw new RuntimeException("Expected PMessage")
  }
  def javaDescriptor: _root_.com.google.protobuf.Descriptors.Descriptor = MetricsProto.javaDescriptor.getMessageTypes().get(3)
  def scalaDescriptor: _root_.scalapb.descriptors.Descriptor = MetricsProto.scalaDescriptor.messages(3)
  def messageCompanionForFieldNumber(__number: _root_.scala.Int): _root_.scalapb.GeneratedMessageCompanion[_] = {
    var __out: _root_.scalapb.GeneratedMessageCompanion[_] = null
    (__number: @_root_.scala.unchecked) match {
      case 1 => __out = com.google.protobuf.timestamp.Timestamp
      case 2 => __out = io.opencensus.proto.metrics.v1.LabelValue
      case 3 => __out = io.opencensus.proto.metrics.v1.Point
    }
    __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.opencensus.proto.metrics.v1.TimeSeries(
    startTimestamp = _root_.scala.None,
    labelValues = _root_.scala.Seq.empty,
    points = _root_.scala.Seq.empty
  )
  implicit class TimeSeriesLens[UpperPB](_l: _root_.scalapb.lenses.Lens[UpperPB, io.opencensus.proto.metrics.v1.TimeSeries]) extends _root_.scalapb.lenses.ObjectLens[UpperPB, io.opencensus.proto.metrics.v1.TimeSeries](_l) {
    def startTimestamp: _root_.scalapb.lenses.Lens[UpperPB, com.google.protobuf.timestamp.Timestamp] = field(_.getStartTimestamp)((c_, f_) => c_.copy(startTimestamp = Option(f_)))
    def optionalStartTimestamp: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Option[com.google.protobuf.timestamp.Timestamp]] = field(_.startTimestamp)((c_, f_) => c_.copy(startTimestamp = f_))
    def labelValues: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelValue]] = field(_.labelValues)((c_, f_) => c_.copy(labelValues = f_))
    def points: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Seq[io.opencensus.proto.metrics.v1.Point]] = field(_.points)((c_, f_) => c_.copy(points = f_))
  }
  final val START_TIMESTAMP_FIELD_NUMBER = 1
  final val LABEL_VALUES_FIELD_NUMBER = 2
  final val POINTS_FIELD_NUMBER = 3
  def of(
    startTimestamp: _root_.scala.Option[com.google.protobuf.timestamp.Timestamp],
    labelValues: _root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelValue],
    points: _root_.scala.Seq[io.opencensus.proto.metrics.v1.Point]
  ): _root_.io.opencensus.proto.metrics.v1.TimeSeries = _root_.io.opencensus.proto.metrics.v1.TimeSeries(
    startTimestamp,
    labelValues,
    points
  )
  // @@protoc_insertion_point(GeneratedMessageCompanion[opencensus.proto.metrics.v1.TimeSeries])
}




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