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ScalaPB generated bindings for Envoy
// Generated by the Scala Plugin for the Protocol Buffer Compiler.
// Do not edit!
//
// Protofile syntax: PROTO3
package io.opentelemetry.proto.metrics.v1
/** Sum represents the type of a scalar metric that is calculated as a sum of all
* reported measurements over a time interval.
*
* @param aggregationTemporality
* aggregation_temporality describes if the aggregator reports delta changes
* since last report time, or cumulative changes since a fixed start time.
* @param isMonotonic
* If "true" means that the sum is monotonic.
*/
@SerialVersionUID(0L)
final case class Sum(
dataPoints: _root_.scala.Seq[io.opentelemetry.proto.metrics.v1.NumberDataPoint] = _root_.scala.Seq.empty,
aggregationTemporality: io.opentelemetry.proto.metrics.v1.AggregationTemporality = io.opentelemetry.proto.metrics.v1.AggregationTemporality.AGGREGATION_TEMPORALITY_UNSPECIFIED,
isMonotonic: _root_.scala.Boolean = false,
unknownFields: _root_.scalapb.UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty
) extends scalapb.GeneratedMessage with scalapb.lenses.Updatable[Sum] {
@transient
private[this] var __serializedSizeMemoized: _root_.scala.Int = 0
private[this] def __computeSerializedSize(): _root_.scala.Int = {
var __size = 0
dataPoints.foreach { __item =>
val __value = __item
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
}
{
val __value = aggregationTemporality.value
if (__value != 0) {
__size += _root_.com.google.protobuf.CodedOutputStream.computeEnumSize(2, __value)
}
};
{
val __value = isMonotonic
if (__value != false) {
__size += _root_.com.google.protobuf.CodedOutputStream.computeBoolSize(3, __value)
}
};
__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 = {
dataPoints.foreach { __v =>
val __m = __v
_output__.writeTag(1, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
{
val __v = aggregationTemporality.value
if (__v != 0) {
_output__.writeEnum(2, __v)
}
};
{
val __v = isMonotonic
if (__v != false) {
_output__.writeBool(3, __v)
}
};
unknownFields.writeTo(_output__)
}
def clearDataPoints = copy(dataPoints = _root_.scala.Seq.empty)
def addDataPoints(__vs: io.opentelemetry.proto.metrics.v1.NumberDataPoint *): Sum = addAllDataPoints(__vs)
def addAllDataPoints(__vs: Iterable[io.opentelemetry.proto.metrics.v1.NumberDataPoint]): Sum = copy(dataPoints = dataPoints ++ __vs)
def withDataPoints(__v: _root_.scala.Seq[io.opentelemetry.proto.metrics.v1.NumberDataPoint]): Sum = copy(dataPoints = __v)
def withAggregationTemporality(__v: io.opentelemetry.proto.metrics.v1.AggregationTemporality): Sum = copy(aggregationTemporality = __v)
def withIsMonotonic(__v: _root_.scala.Boolean): Sum = copy(isMonotonic = __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 => dataPoints
case 2 => {
val __t = aggregationTemporality.javaValueDescriptor
if (__t.getNumber() != 0) __t else null
}
case 3 => {
val __t = isMonotonic
if (__t != false) __t else null
}
}
}
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 => _root_.scalapb.descriptors.PRepeated(dataPoints.iterator.map(_.toPMessage).toVector)
case 2 => _root_.scalapb.descriptors.PEnum(aggregationTemporality.scalaValueDescriptor)
case 3 => _root_.scalapb.descriptors.PBoolean(isMonotonic)
}
}
def toProtoString: _root_.scala.Predef.String = _root_.scalapb.TextFormat.printToUnicodeString(this)
def companion: io.opentelemetry.proto.metrics.v1.Sum.type = io.opentelemetry.proto.metrics.v1.Sum
// @@protoc_insertion_point(GeneratedMessage[opentelemetry.proto.metrics.v1.Sum])
}
object Sum extends scalapb.GeneratedMessageCompanion[io.opentelemetry.proto.metrics.v1.Sum] {
implicit def messageCompanion: scalapb.GeneratedMessageCompanion[io.opentelemetry.proto.metrics.v1.Sum] = this
def parseFrom(`_input__`: _root_.com.google.protobuf.CodedInputStream): io.opentelemetry.proto.metrics.v1.Sum = {
val __dataPoints: _root_.scala.collection.immutable.VectorBuilder[io.opentelemetry.proto.metrics.v1.NumberDataPoint] = new _root_.scala.collection.immutable.VectorBuilder[io.opentelemetry.proto.metrics.v1.NumberDataPoint]
var __aggregationTemporality: io.opentelemetry.proto.metrics.v1.AggregationTemporality = io.opentelemetry.proto.metrics.v1.AggregationTemporality.AGGREGATION_TEMPORALITY_UNSPECIFIED
var __isMonotonic: _root_.scala.Boolean = false
var `_unknownFields__`: _root_.scalapb.UnknownFieldSet.Builder = null
var _done__ = false
while (!_done__) {
val _tag__ = _input__.readTag()
_tag__ match {
case 0 => _done__ = true
case 10 =>
__dataPoints += _root_.scalapb.LiteParser.readMessage[io.opentelemetry.proto.metrics.v1.NumberDataPoint](_input__)
case 16 =>
__aggregationTemporality = io.opentelemetry.proto.metrics.v1.AggregationTemporality.fromValue(_input__.readEnum())
case 24 =>
__isMonotonic = _input__.readBool()
case tag =>
if (_unknownFields__ == null) {
_unknownFields__ = new _root_.scalapb.UnknownFieldSet.Builder()
}
_unknownFields__.parseField(tag, _input__)
}
}
io.opentelemetry.proto.metrics.v1.Sum(
dataPoints = __dataPoints.result(),
aggregationTemporality = __aggregationTemporality,
isMonotonic = __isMonotonic,
unknownFields = if (_unknownFields__ == null) _root_.scalapb.UnknownFieldSet.empty else _unknownFields__.result()
)
}
implicit def messageReads: _root_.scalapb.descriptors.Reads[io.opentelemetry.proto.metrics.v1.Sum] = _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.opentelemetry.proto.metrics.v1.Sum(
dataPoints = __fieldsMap.get(scalaDescriptor.findFieldByNumber(1).get).map(_.as[_root_.scala.Seq[io.opentelemetry.proto.metrics.v1.NumberDataPoint]]).getOrElse(_root_.scala.Seq.empty),
aggregationTemporality = io.opentelemetry.proto.metrics.v1.AggregationTemporality.fromValue(__fieldsMap.get(scalaDescriptor.findFieldByNumber(2).get).map(_.as[_root_.scalapb.descriptors.EnumValueDescriptor]).getOrElse(io.opentelemetry.proto.metrics.v1.AggregationTemporality.AGGREGATION_TEMPORALITY_UNSPECIFIED.scalaValueDescriptor).number),
isMonotonic = __fieldsMap.get(scalaDescriptor.findFieldByNumber(3).get).map(_.as[_root_.scala.Boolean]).getOrElse(false)
)
case _ => throw new RuntimeException("Expected PMessage")
}
def javaDescriptor: _root_.com.google.protobuf.Descriptors.Descriptor = MetricsProto.javaDescriptor.getMessageTypes().get(6)
def scalaDescriptor: _root_.scalapb.descriptors.Descriptor = MetricsProto.scalaDescriptor.messages(6)
def messageCompanionForFieldNumber(__number: _root_.scala.Int): _root_.scalapb.GeneratedMessageCompanion[_] = {
var __out: _root_.scalapb.GeneratedMessageCompanion[_] = null
(__number: @_root_.scala.unchecked) match {
case 1 => __out = io.opentelemetry.proto.metrics.v1.NumberDataPoint
}
__out
}
lazy val nestedMessagesCompanions: Seq[_root_.scalapb.GeneratedMessageCompanion[_ <: _root_.scalapb.GeneratedMessage]] = Seq.empty
def enumCompanionForFieldNumber(__fieldNumber: _root_.scala.Int): _root_.scalapb.GeneratedEnumCompanion[_] = {
(__fieldNumber: @_root_.scala.unchecked) match {
case 2 => io.opentelemetry.proto.metrics.v1.AggregationTemporality
}
}
lazy val defaultInstance = io.opentelemetry.proto.metrics.v1.Sum(
dataPoints = _root_.scala.Seq.empty,
aggregationTemporality = io.opentelemetry.proto.metrics.v1.AggregationTemporality.AGGREGATION_TEMPORALITY_UNSPECIFIED,
isMonotonic = false
)
implicit class SumLens[UpperPB](_l: _root_.scalapb.lenses.Lens[UpperPB, io.opentelemetry.proto.metrics.v1.Sum]) extends _root_.scalapb.lenses.ObjectLens[UpperPB, io.opentelemetry.proto.metrics.v1.Sum](_l) {
def dataPoints: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Seq[io.opentelemetry.proto.metrics.v1.NumberDataPoint]] = field(_.dataPoints)((c_, f_) => c_.copy(dataPoints = f_))
def aggregationTemporality: _root_.scalapb.lenses.Lens[UpperPB, io.opentelemetry.proto.metrics.v1.AggregationTemporality] = field(_.aggregationTemporality)((c_, f_) => c_.copy(aggregationTemporality = f_))
def isMonotonic: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Boolean] = field(_.isMonotonic)((c_, f_) => c_.copy(isMonotonic = f_))
}
final val DATA_POINTS_FIELD_NUMBER = 1
final val AGGREGATION_TEMPORALITY_FIELD_NUMBER = 2
final val IS_MONOTONIC_FIELD_NUMBER = 3
def of(
dataPoints: _root_.scala.Seq[io.opentelemetry.proto.metrics.v1.NumberDataPoint],
aggregationTemporality: io.opentelemetry.proto.metrics.v1.AggregationTemporality,
isMonotonic: _root_.scala.Boolean
): _root_.io.opentelemetry.proto.metrics.v1.Sum = _root_.io.opentelemetry.proto.metrics.v1.Sum(
dataPoints,
aggregationTemporality,
isMonotonic
)
// @@protoc_insertion_point(GeneratedMessageCompanion[opentelemetry.proto.metrics.v1.Sum])
}
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