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ScalaPB generated bindings for Envoy
// Generated by the Scala Plugin for the Protocol Buffer Compiler.
// Do not edit!
//
// Protofile syntax: PROTO2
package io.prometheus.client
@SerialVersionUID(0L)
final case class Metric(
label: _root_.scala.Seq[io.prometheus.client.LabelPair] = _root_.scala.Seq.empty,
gauge: _root_.scala.Option[io.prometheus.client.Gauge] = _root_.scala.None,
counter: _root_.scala.Option[io.prometheus.client.Counter] = _root_.scala.None,
summary: _root_.scala.Option[io.prometheus.client.Summary] = _root_.scala.None,
untyped: _root_.scala.Option[io.prometheus.client.Untyped] = _root_.scala.None,
histogram: _root_.scala.Option[io.prometheus.client.Histogram] = _root_.scala.None,
timestampMs: _root_.scala.Option[_root_.scala.Long] = _root_.scala.None,
unknownFields: _root_.scalapb.UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty
) extends scalapb.GeneratedMessage with scalapb.lenses.Updatable[Metric] {
@transient
private[this] var __serializedSizeMemoized: _root_.scala.Int = 0
private[this] def __computeSerializedSize(): _root_.scala.Int = {
var __size = 0
label.foreach { __item =>
val __value = __item
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
}
if (gauge.isDefined) {
val __value = gauge.get
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
};
if (counter.isDefined) {
val __value = counter.get
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
};
if (summary.isDefined) {
val __value = summary.get
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
};
if (untyped.isDefined) {
val __value = untyped.get
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
};
if (histogram.isDefined) {
val __value = histogram.get
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
};
if (timestampMs.isDefined) {
val __value = timestampMs.get
__size += _root_.com.google.protobuf.CodedOutputStream.computeInt64Size(6, __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 = {
label.foreach { __v =>
val __m = __v
_output__.writeTag(1, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
gauge.foreach { __v =>
val __m = __v
_output__.writeTag(2, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
counter.foreach { __v =>
val __m = __v
_output__.writeTag(3, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
summary.foreach { __v =>
val __m = __v
_output__.writeTag(4, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
untyped.foreach { __v =>
val __m = __v
_output__.writeTag(5, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
timestampMs.foreach { __v =>
val __m = __v
_output__.writeInt64(6, __m)
};
histogram.foreach { __v =>
val __m = __v
_output__.writeTag(7, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
unknownFields.writeTo(_output__)
}
def clearLabel = copy(label = _root_.scala.Seq.empty)
def addLabel(__vs: io.prometheus.client.LabelPair *): Metric = addAllLabel(__vs)
def addAllLabel(__vs: Iterable[io.prometheus.client.LabelPair]): Metric = copy(label = label ++ __vs)
def withLabel(__v: _root_.scala.Seq[io.prometheus.client.LabelPair]): Metric = copy(label = __v)
def getGauge: io.prometheus.client.Gauge = gauge.getOrElse(io.prometheus.client.Gauge.defaultInstance)
def clearGauge: Metric = copy(gauge = _root_.scala.None)
def withGauge(__v: io.prometheus.client.Gauge): Metric = copy(gauge = Option(__v))
def getCounter: io.prometheus.client.Counter = counter.getOrElse(io.prometheus.client.Counter.defaultInstance)
def clearCounter: Metric = copy(counter = _root_.scala.None)
def withCounter(__v: io.prometheus.client.Counter): Metric = copy(counter = Option(__v))
def getSummary: io.prometheus.client.Summary = summary.getOrElse(io.prometheus.client.Summary.defaultInstance)
def clearSummary: Metric = copy(summary = _root_.scala.None)
def withSummary(__v: io.prometheus.client.Summary): Metric = copy(summary = Option(__v))
def getUntyped: io.prometheus.client.Untyped = untyped.getOrElse(io.prometheus.client.Untyped.defaultInstance)
def clearUntyped: Metric = copy(untyped = _root_.scala.None)
def withUntyped(__v: io.prometheus.client.Untyped): Metric = copy(untyped = Option(__v))
def getHistogram: io.prometheus.client.Histogram = histogram.getOrElse(io.prometheus.client.Histogram.defaultInstance)
def clearHistogram: Metric = copy(histogram = _root_.scala.None)
def withHistogram(__v: io.prometheus.client.Histogram): Metric = copy(histogram = Option(__v))
def getTimestampMs: _root_.scala.Long = timestampMs.getOrElse(0L)
def clearTimestampMs: Metric = copy(timestampMs = _root_.scala.None)
def withTimestampMs(__v: _root_.scala.Long): Metric = copy(timestampMs = Option(__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 => label
case 2 => gauge.orNull
case 3 => counter.orNull
case 4 => summary.orNull
case 5 => untyped.orNull
case 7 => histogram.orNull
case 6 => timestampMs.orNull
}
}
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(label.iterator.map(_.toPMessage).toVector)
case 2 => gauge.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
case 3 => counter.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
case 4 => summary.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
case 5 => untyped.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
case 7 => histogram.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
case 6 => timestampMs.map(_root_.scalapb.descriptors.PLong(_)).getOrElse(_root_.scalapb.descriptors.PEmpty)
}
}
def toProtoString: _root_.scala.Predef.String = _root_.scalapb.TextFormat.printToUnicodeString(this)
def companion: io.prometheus.client.Metric.type = io.prometheus.client.Metric
// @@protoc_insertion_point(GeneratedMessage[io.prometheus.client.Metric])
}
object Metric extends scalapb.GeneratedMessageCompanion[io.prometheus.client.Metric] {
implicit def messageCompanion: scalapb.GeneratedMessageCompanion[io.prometheus.client.Metric] = this
def parseFrom(`_input__`: _root_.com.google.protobuf.CodedInputStream): io.prometheus.client.Metric = {
val __label: _root_.scala.collection.immutable.VectorBuilder[io.prometheus.client.LabelPair] = new _root_.scala.collection.immutable.VectorBuilder[io.prometheus.client.LabelPair]
var __gauge: _root_.scala.Option[io.prometheus.client.Gauge] = _root_.scala.None
var __counter: _root_.scala.Option[io.prometheus.client.Counter] = _root_.scala.None
var __summary: _root_.scala.Option[io.prometheus.client.Summary] = _root_.scala.None
var __untyped: _root_.scala.Option[io.prometheus.client.Untyped] = _root_.scala.None
var __histogram: _root_.scala.Option[io.prometheus.client.Histogram] = _root_.scala.None
var __timestampMs: _root_.scala.Option[_root_.scala.Long] = _root_.scala.None
var `_unknownFields__`: _root_.scalapb.UnknownFieldSet.Builder = null
var _done__ = false
while (!_done__) {
val _tag__ = _input__.readTag()
_tag__ match {
case 0 => _done__ = true
case 10 =>
__label += _root_.scalapb.LiteParser.readMessage[io.prometheus.client.LabelPair](_input__)
case 18 =>
__gauge = Option(__gauge.fold(_root_.scalapb.LiteParser.readMessage[io.prometheus.client.Gauge](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case 26 =>
__counter = Option(__counter.fold(_root_.scalapb.LiteParser.readMessage[io.prometheus.client.Counter](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case 34 =>
__summary = Option(__summary.fold(_root_.scalapb.LiteParser.readMessage[io.prometheus.client.Summary](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case 42 =>
__untyped = Option(__untyped.fold(_root_.scalapb.LiteParser.readMessage[io.prometheus.client.Untyped](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case 58 =>
__histogram = Option(__histogram.fold(_root_.scalapb.LiteParser.readMessage[io.prometheus.client.Histogram](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case 48 =>
__timestampMs = Option(_input__.readInt64())
case tag =>
if (_unknownFields__ == null) {
_unknownFields__ = new _root_.scalapb.UnknownFieldSet.Builder()
}
_unknownFields__.parseField(tag, _input__)
}
}
io.prometheus.client.Metric(
label = __label.result(),
gauge = __gauge,
counter = __counter,
summary = __summary,
untyped = __untyped,
histogram = __histogram,
timestampMs = __timestampMs,
unknownFields = if (_unknownFields__ == null) _root_.scalapb.UnknownFieldSet.empty else _unknownFields__.result()
)
}
implicit def messageReads: _root_.scalapb.descriptors.Reads[io.prometheus.client.Metric] = _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.prometheus.client.Metric(
label = __fieldsMap.get(scalaDescriptor.findFieldByNumber(1).get).map(_.as[_root_.scala.Seq[io.prometheus.client.LabelPair]]).getOrElse(_root_.scala.Seq.empty),
gauge = __fieldsMap.get(scalaDescriptor.findFieldByNumber(2).get).flatMap(_.as[_root_.scala.Option[io.prometheus.client.Gauge]]),
counter = __fieldsMap.get(scalaDescriptor.findFieldByNumber(3).get).flatMap(_.as[_root_.scala.Option[io.prometheus.client.Counter]]),
summary = __fieldsMap.get(scalaDescriptor.findFieldByNumber(4).get).flatMap(_.as[_root_.scala.Option[io.prometheus.client.Summary]]),
untyped = __fieldsMap.get(scalaDescriptor.findFieldByNumber(5).get).flatMap(_.as[_root_.scala.Option[io.prometheus.client.Untyped]]),
histogram = __fieldsMap.get(scalaDescriptor.findFieldByNumber(7).get).flatMap(_.as[_root_.scala.Option[io.prometheus.client.Histogram]]),
timestampMs = __fieldsMap.get(scalaDescriptor.findFieldByNumber(6).get).flatMap(_.as[_root_.scala.Option[_root_.scala.Long]])
)
case _ => throw new RuntimeException("Expected PMessage")
}
def javaDescriptor: _root_.com.google.protobuf.Descriptors.Descriptor = MetricsProto.javaDescriptor.getMessageTypes().get(9)
def scalaDescriptor: _root_.scalapb.descriptors.Descriptor = MetricsProto.scalaDescriptor.messages(9)
def messageCompanionForFieldNumber(__number: _root_.scala.Int): _root_.scalapb.GeneratedMessageCompanion[_] = {
var __out: _root_.scalapb.GeneratedMessageCompanion[_] = null
(__number: @_root_.scala.unchecked) match {
case 1 => __out = io.prometheus.client.LabelPair
case 2 => __out = io.prometheus.client.Gauge
case 3 => __out = io.prometheus.client.Counter
case 4 => __out = io.prometheus.client.Summary
case 5 => __out = io.prometheus.client.Untyped
case 7 => __out = io.prometheus.client.Histogram
}
__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.prometheus.client.Metric(
label = _root_.scala.Seq.empty,
gauge = _root_.scala.None,
counter = _root_.scala.None,
summary = _root_.scala.None,
untyped = _root_.scala.None,
histogram = _root_.scala.None,
timestampMs = _root_.scala.None
)
implicit class MetricLens[UpperPB](_l: _root_.scalapb.lenses.Lens[UpperPB, io.prometheus.client.Metric]) extends _root_.scalapb.lenses.ObjectLens[UpperPB, io.prometheus.client.Metric](_l) {
def label: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Seq[io.prometheus.client.LabelPair]] = field(_.label)((c_, f_) => c_.copy(label = f_))
def gauge: _root_.scalapb.lenses.Lens[UpperPB, io.prometheus.client.Gauge] = field(_.getGauge)((c_, f_) => c_.copy(gauge = Option(f_)))
def optionalGauge: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Option[io.prometheus.client.Gauge]] = field(_.gauge)((c_, f_) => c_.copy(gauge = f_))
def counter: _root_.scalapb.lenses.Lens[UpperPB, io.prometheus.client.Counter] = field(_.getCounter)((c_, f_) => c_.copy(counter = Option(f_)))
def optionalCounter: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Option[io.prometheus.client.Counter]] = field(_.counter)((c_, f_) => c_.copy(counter = f_))
def summary: _root_.scalapb.lenses.Lens[UpperPB, io.prometheus.client.Summary] = field(_.getSummary)((c_, f_) => c_.copy(summary = Option(f_)))
def optionalSummary: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Option[io.prometheus.client.Summary]] = field(_.summary)((c_, f_) => c_.copy(summary = f_))
def untyped: _root_.scalapb.lenses.Lens[UpperPB, io.prometheus.client.Untyped] = field(_.getUntyped)((c_, f_) => c_.copy(untyped = Option(f_)))
def optionalUntyped: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Option[io.prometheus.client.Untyped]] = field(_.untyped)((c_, f_) => c_.copy(untyped = f_))
def histogram: _root_.scalapb.lenses.Lens[UpperPB, io.prometheus.client.Histogram] = field(_.getHistogram)((c_, f_) => c_.copy(histogram = Option(f_)))
def optionalHistogram: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Option[io.prometheus.client.Histogram]] = field(_.histogram)((c_, f_) => c_.copy(histogram = f_))
def timestampMs: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Long] = field(_.getTimestampMs)((c_, f_) => c_.copy(timestampMs = Option(f_)))
def optionalTimestampMs: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Option[_root_.scala.Long]] = field(_.timestampMs)((c_, f_) => c_.copy(timestampMs = f_))
}
final val LABEL_FIELD_NUMBER = 1
final val GAUGE_FIELD_NUMBER = 2
final val COUNTER_FIELD_NUMBER = 3
final val SUMMARY_FIELD_NUMBER = 4
final val UNTYPED_FIELD_NUMBER = 5
final val HISTOGRAM_FIELD_NUMBER = 7
final val TIMESTAMP_MS_FIELD_NUMBER = 6
def of(
label: _root_.scala.Seq[io.prometheus.client.LabelPair],
gauge: _root_.scala.Option[io.prometheus.client.Gauge],
counter: _root_.scala.Option[io.prometheus.client.Counter],
summary: _root_.scala.Option[io.prometheus.client.Summary],
untyped: _root_.scala.Option[io.prometheus.client.Untyped],
histogram: _root_.scala.Option[io.prometheus.client.Histogram],
timestampMs: _root_.scala.Option[_root_.scala.Long]
): _root_.io.prometheus.client.Metric = _root_.io.prometheus.client.Metric(
label,
gauge,
counter,
summary,
untyped,
histogram,
timestampMs
)
// @@protoc_insertion_point(GeneratedMessageCompanion[io.prometheus.client.Metric])
}
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