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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
/** Defines a Metric which has one or more timeseries. The following is a
* brief summary of the Metric data model. For more details, see:
*
* https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/metrics/datamodel.md
*
*
* The data model and relation between entities is shown in the
* diagram below. Here, "DataPoint" is the term used to refer to any
* one of the specific data point value types, and "points" is the term used
* to refer to any one of the lists of points contained in the Metric.
*
* - Metric is composed of a metadata and data.
* - Metadata part contains a name, description, unit.
* - Data is one of the possible types (Sum, Gauge, Histogram, Summary).
* - DataPoint contains timestamps, attributes, and one of the possible value type
* fields.
*
* Metric
* +------------+
* |name |
* |description |
* |unit | +------------------------------------+
* |data |---> |Gauge, Sum, Histogram, Summary, ... |
* +------------+ +------------------------------------+
*
* Data [One of Gauge, Sum, Histogram, Summary, ...]
* +-----------+
* |... | // Metadata about the Data.
* |points |--+
* +-----------+ |
* | +---------------------------+
* | |DataPoint 1 |
* v |+------+------+ +------+ |
* +-----+ ||label |label |...|label | |
* | 1 |-->||value1|value2|...|valueN| |
* +-----+ |+------+------+ +------+ |
* | . | |+-----+ |
* | . | ||value| |
* | . | |+-----+ |
* | . | +---------------------------+
* | . | .
* | . | .
* | . | .
* | . | +---------------------------+
* | . | |DataPoint M |
* +-----+ |+------+------+ +------+ |
* | M |-->||label |label |...|label | |
* +-----+ ||value1|value2|...|valueN| |
* |+------+------+ +------+ |
* |+-----+ |
* ||value| |
* |+-----+ |
* +---------------------------+
*
* Each distinct type of DataPoint represents the output of a specific
* aggregation function, the result of applying the DataPoint's
* associated function of to one or more measurements.
*
* All DataPoint types have three common fields:
* - Attributes includes key-value pairs associated with the data point
* - TimeUnixNano is required, set to the end time of the aggregation
* - StartTimeUnixNano is optional, but strongly encouraged for DataPoints
* having an AggregationTemporality field, as discussed below.
*
* Both TimeUnixNano and StartTimeUnixNano values are expressed as
* UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January 1970.
*
* # TimeUnixNano
*
* This field is required, having consistent interpretation across
* DataPoint types. TimeUnixNano is the moment corresponding to when
* the data point's aggregate value was captured.
*
* Data points with the 0 value for TimeUnixNano SHOULD be rejected
* by consumers.
*
* # StartTimeUnixNano
*
* StartTimeUnixNano in general allows detecting when a sequence of
* observations is unbroken. This field indicates to consumers the
* start time for points with cumulative and delta
* AggregationTemporality, and it should be included whenever possible
* to support correct rate calculation. Although it may be omitted
* when the start time is truly unknown, setting StartTimeUnixNano is
* strongly encouraged.
*
* @param name
* name of the metric, including its DNS name prefix. It must be unique.
* @param description
* description of the metric, which can be used in documentation.
* @param unit
* unit in which the metric value is reported. Follows the format
* described by http://unitsofmeasure.org/ucum.html.
*/
@SerialVersionUID(0L)
final case class Metric(
name: _root_.scala.Predef.String = "",
description: _root_.scala.Predef.String = "",
unit: _root_.scala.Predef.String = "",
data: io.opentelemetry.proto.metrics.v1.Metric.Data = io.opentelemetry.proto.metrics.v1.Metric.Data.Empty,
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
{
val __value = name
if (!__value.isEmpty) {
__size += _root_.com.google.protobuf.CodedOutputStream.computeStringSize(1, __value)
}
};
{
val __value = description
if (!__value.isEmpty) {
__size += _root_.com.google.protobuf.CodedOutputStream.computeStringSize(2, __value)
}
};
{
val __value = unit
if (!__value.isEmpty) {
__size += _root_.com.google.protobuf.CodedOutputStream.computeStringSize(3, __value)
}
};
if (data.gauge.isDefined) {
val __value = data.gauge.get
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
};
if (data.sum.isDefined) {
val __value = data.sum.get
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
};
if (data.histogram.isDefined) {
val __value = data.histogram.get
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
};
if (data.exponentialHistogram.isDefined) {
val __value = data.exponentialHistogram.get
__size += 1 + _root_.com.google.protobuf.CodedOutputStream.computeUInt32SizeNoTag(__value.serializedSize) + __value.serializedSize
};
if (data.summary.isDefined) {
val __value = data.summary.get
__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 = {
{
val __v = name
if (!__v.isEmpty) {
_output__.writeString(1, __v)
}
};
{
val __v = description
if (!__v.isEmpty) {
_output__.writeString(2, __v)
}
};
{
val __v = unit
if (!__v.isEmpty) {
_output__.writeString(3, __v)
}
};
data.gauge.foreach { __v =>
val __m = __v
_output__.writeTag(5, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
data.sum.foreach { __v =>
val __m = __v
_output__.writeTag(7, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
data.histogram.foreach { __v =>
val __m = __v
_output__.writeTag(9, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
data.exponentialHistogram.foreach { __v =>
val __m = __v
_output__.writeTag(10, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
data.summary.foreach { __v =>
val __m = __v
_output__.writeTag(11, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
unknownFields.writeTo(_output__)
}
def withName(__v: _root_.scala.Predef.String): Metric = copy(name = __v)
def withDescription(__v: _root_.scala.Predef.String): Metric = copy(description = __v)
def withUnit(__v: _root_.scala.Predef.String): Metric = copy(unit = __v)
def getGauge: io.opentelemetry.proto.metrics.v1.Gauge = data.gauge.getOrElse(io.opentelemetry.proto.metrics.v1.Gauge.defaultInstance)
def withGauge(__v: io.opentelemetry.proto.metrics.v1.Gauge): Metric = copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.Gauge(__v))
def getSum: io.opentelemetry.proto.metrics.v1.Sum = data.sum.getOrElse(io.opentelemetry.proto.metrics.v1.Sum.defaultInstance)
def withSum(__v: io.opentelemetry.proto.metrics.v1.Sum): Metric = copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.Sum(__v))
def getHistogram: io.opentelemetry.proto.metrics.v1.Histogram = data.histogram.getOrElse(io.opentelemetry.proto.metrics.v1.Histogram.defaultInstance)
def withHistogram(__v: io.opentelemetry.proto.metrics.v1.Histogram): Metric = copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.Histogram(__v))
def getExponentialHistogram: io.opentelemetry.proto.metrics.v1.ExponentialHistogram = data.exponentialHistogram.getOrElse(io.opentelemetry.proto.metrics.v1.ExponentialHistogram.defaultInstance)
def withExponentialHistogram(__v: io.opentelemetry.proto.metrics.v1.ExponentialHistogram): Metric = copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.ExponentialHistogram(__v))
def getSummary: io.opentelemetry.proto.metrics.v1.Summary = data.summary.getOrElse(io.opentelemetry.proto.metrics.v1.Summary.defaultInstance)
def withSummary(__v: io.opentelemetry.proto.metrics.v1.Summary): Metric = copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.Summary(__v))
def clearData: Metric = copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.Empty)
def withData(__v: io.opentelemetry.proto.metrics.v1.Metric.Data): Metric = copy(data = __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 => {
val __t = name
if (__t != "") __t else null
}
case 2 => {
val __t = description
if (__t != "") __t else null
}
case 3 => {
val __t = unit
if (__t != "") __t else null
}
case 5 => data.gauge.orNull
case 7 => data.sum.orNull
case 9 => data.histogram.orNull
case 10 => data.exponentialHistogram.orNull
case 11 => data.summary.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.PString(name)
case 2 => _root_.scalapb.descriptors.PString(description)
case 3 => _root_.scalapb.descriptors.PString(unit)
case 5 => data.gauge.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
case 7 => data.sum.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
case 9 => data.histogram.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
case 10 => data.exponentialHistogram.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
case 11 => data.summary.map(_.toPMessage).getOrElse(_root_.scalapb.descriptors.PEmpty)
}
}
def toProtoString: _root_.scala.Predef.String = _root_.scalapb.TextFormat.printToUnicodeString(this)
def companion: io.opentelemetry.proto.metrics.v1.Metric.type = io.opentelemetry.proto.metrics.v1.Metric
// @@protoc_insertion_point(GeneratedMessage[opentelemetry.proto.metrics.v1.Metric])
}
object Metric extends scalapb.GeneratedMessageCompanion[io.opentelemetry.proto.metrics.v1.Metric] {
implicit def messageCompanion: scalapb.GeneratedMessageCompanion[io.opentelemetry.proto.metrics.v1.Metric] = this
def parseFrom(`_input__`: _root_.com.google.protobuf.CodedInputStream): io.opentelemetry.proto.metrics.v1.Metric = {
var __name: _root_.scala.Predef.String = ""
var __description: _root_.scala.Predef.String = ""
var __unit: _root_.scala.Predef.String = ""
var __data: io.opentelemetry.proto.metrics.v1.Metric.Data = io.opentelemetry.proto.metrics.v1.Metric.Data.Empty
var `_unknownFields__`: _root_.scalapb.UnknownFieldSet.Builder = null
var _done__ = false
while (!_done__) {
val _tag__ = _input__.readTag()
_tag__ match {
case 0 => _done__ = true
case 10 =>
__name = _input__.readStringRequireUtf8()
case 18 =>
__description = _input__.readStringRequireUtf8()
case 26 =>
__unit = _input__.readStringRequireUtf8()
case 42 =>
__data = io.opentelemetry.proto.metrics.v1.Metric.Data.Gauge(__data.gauge.fold(_root_.scalapb.LiteParser.readMessage[io.opentelemetry.proto.metrics.v1.Gauge](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case 58 =>
__data = io.opentelemetry.proto.metrics.v1.Metric.Data.Sum(__data.sum.fold(_root_.scalapb.LiteParser.readMessage[io.opentelemetry.proto.metrics.v1.Sum](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case 74 =>
__data = io.opentelemetry.proto.metrics.v1.Metric.Data.Histogram(__data.histogram.fold(_root_.scalapb.LiteParser.readMessage[io.opentelemetry.proto.metrics.v1.Histogram](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case 82 =>
__data = io.opentelemetry.proto.metrics.v1.Metric.Data.ExponentialHistogram(__data.exponentialHistogram.fold(_root_.scalapb.LiteParser.readMessage[io.opentelemetry.proto.metrics.v1.ExponentialHistogram](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case 90 =>
__data = io.opentelemetry.proto.metrics.v1.Metric.Data.Summary(__data.summary.fold(_root_.scalapb.LiteParser.readMessage[io.opentelemetry.proto.metrics.v1.Summary](_input__))(_root_.scalapb.LiteParser.readMessage(_input__, _)))
case tag =>
if (_unknownFields__ == null) {
_unknownFields__ = new _root_.scalapb.UnknownFieldSet.Builder()
}
_unknownFields__.parseField(tag, _input__)
}
}
io.opentelemetry.proto.metrics.v1.Metric(
name = __name,
description = __description,
unit = __unit,
data = __data,
unknownFields = if (_unknownFields__ == null) _root_.scalapb.UnknownFieldSet.empty else _unknownFields__.result()
)
}
implicit def messageReads: _root_.scalapb.descriptors.Reads[io.opentelemetry.proto.metrics.v1.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.opentelemetry.proto.metrics.v1.Metric(
name = __fieldsMap.get(scalaDescriptor.findFieldByNumber(1).get).map(_.as[_root_.scala.Predef.String]).getOrElse(""),
description = __fieldsMap.get(scalaDescriptor.findFieldByNumber(2).get).map(_.as[_root_.scala.Predef.String]).getOrElse(""),
unit = __fieldsMap.get(scalaDescriptor.findFieldByNumber(3).get).map(_.as[_root_.scala.Predef.String]).getOrElse(""),
data = __fieldsMap.get(scalaDescriptor.findFieldByNumber(5).get).flatMap(_.as[_root_.scala.Option[io.opentelemetry.proto.metrics.v1.Gauge]]).map(io.opentelemetry.proto.metrics.v1.Metric.Data.Gauge(_))
.orElse[io.opentelemetry.proto.metrics.v1.Metric.Data](__fieldsMap.get(scalaDescriptor.findFieldByNumber(7).get).flatMap(_.as[_root_.scala.Option[io.opentelemetry.proto.metrics.v1.Sum]]).map(io.opentelemetry.proto.metrics.v1.Metric.Data.Sum(_)))
.orElse[io.opentelemetry.proto.metrics.v1.Metric.Data](__fieldsMap.get(scalaDescriptor.findFieldByNumber(9).get).flatMap(_.as[_root_.scala.Option[io.opentelemetry.proto.metrics.v1.Histogram]]).map(io.opentelemetry.proto.metrics.v1.Metric.Data.Histogram(_)))
.orElse[io.opentelemetry.proto.metrics.v1.Metric.Data](__fieldsMap.get(scalaDescriptor.findFieldByNumber(10).get).flatMap(_.as[_root_.scala.Option[io.opentelemetry.proto.metrics.v1.ExponentialHistogram]]).map(io.opentelemetry.proto.metrics.v1.Metric.Data.ExponentialHistogram(_)))
.orElse[io.opentelemetry.proto.metrics.v1.Metric.Data](__fieldsMap.get(scalaDescriptor.findFieldByNumber(11).get).flatMap(_.as[_root_.scala.Option[io.opentelemetry.proto.metrics.v1.Summary]]).map(io.opentelemetry.proto.metrics.v1.Metric.Data.Summary(_)))
.getOrElse(io.opentelemetry.proto.metrics.v1.Metric.Data.Empty)
)
case _ => throw new RuntimeException("Expected PMessage")
}
def javaDescriptor: _root_.com.google.protobuf.Descriptors.Descriptor = MetricsProto.javaDescriptor.getMessageTypes().get(4)
def scalaDescriptor: _root_.scalapb.descriptors.Descriptor = MetricsProto.scalaDescriptor.messages(4)
def messageCompanionForFieldNumber(__number: _root_.scala.Int): _root_.scalapb.GeneratedMessageCompanion[_] = {
var __out: _root_.scalapb.GeneratedMessageCompanion[_] = null
(__number: @_root_.scala.unchecked) match {
case 5 => __out = io.opentelemetry.proto.metrics.v1.Gauge
case 7 => __out = io.opentelemetry.proto.metrics.v1.Sum
case 9 => __out = io.opentelemetry.proto.metrics.v1.Histogram
case 10 => __out = io.opentelemetry.proto.metrics.v1.ExponentialHistogram
case 11 => __out = io.opentelemetry.proto.metrics.v1.Summary
}
__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.opentelemetry.proto.metrics.v1.Metric(
name = "",
description = "",
unit = "",
data = io.opentelemetry.proto.metrics.v1.Metric.Data.Empty
)
sealed trait Data extends _root_.scalapb.GeneratedOneof {
def isEmpty: _root_.scala.Boolean = false
def isDefined: _root_.scala.Boolean = true
def isGauge: _root_.scala.Boolean = false
def isSum: _root_.scala.Boolean = false
def isHistogram: _root_.scala.Boolean = false
def isExponentialHistogram: _root_.scala.Boolean = false
def isSummary: _root_.scala.Boolean = false
def gauge: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.Gauge] = _root_.scala.None
def sum: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.Sum] = _root_.scala.None
def histogram: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.Histogram] = _root_.scala.None
def exponentialHistogram: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.ExponentialHistogram] = _root_.scala.None
def summary: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.Summary] = _root_.scala.None
}
object Data {
@SerialVersionUID(0L)
case object Empty extends io.opentelemetry.proto.metrics.v1.Metric.Data {
type ValueType = _root_.scala.Nothing
override def isEmpty: _root_.scala.Boolean = true
override def isDefined: _root_.scala.Boolean = false
override def number: _root_.scala.Int = 0
override def value: _root_.scala.Nothing = throw new java.util.NoSuchElementException("Empty.value")
}
@SerialVersionUID(0L)
final case class Gauge(value: io.opentelemetry.proto.metrics.v1.Gauge) extends io.opentelemetry.proto.metrics.v1.Metric.Data {
type ValueType = io.opentelemetry.proto.metrics.v1.Gauge
override def isGauge: _root_.scala.Boolean = true
override def gauge: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.Gauge] = Some(value)
override def number: _root_.scala.Int = 5
}
@SerialVersionUID(0L)
final case class Sum(value: io.opentelemetry.proto.metrics.v1.Sum) extends io.opentelemetry.proto.metrics.v1.Metric.Data {
type ValueType = io.opentelemetry.proto.metrics.v1.Sum
override def isSum: _root_.scala.Boolean = true
override def sum: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.Sum] = Some(value)
override def number: _root_.scala.Int = 7
}
@SerialVersionUID(0L)
final case class Histogram(value: io.opentelemetry.proto.metrics.v1.Histogram) extends io.opentelemetry.proto.metrics.v1.Metric.Data {
type ValueType = io.opentelemetry.proto.metrics.v1.Histogram
override def isHistogram: _root_.scala.Boolean = true
override def histogram: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.Histogram] = Some(value)
override def number: _root_.scala.Int = 9
}
@SerialVersionUID(0L)
final case class ExponentialHistogram(value: io.opentelemetry.proto.metrics.v1.ExponentialHistogram) extends io.opentelemetry.proto.metrics.v1.Metric.Data {
type ValueType = io.opentelemetry.proto.metrics.v1.ExponentialHistogram
override def isExponentialHistogram: _root_.scala.Boolean = true
override def exponentialHistogram: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.ExponentialHistogram] = Some(value)
override def number: _root_.scala.Int = 10
}
@SerialVersionUID(0L)
final case class Summary(value: io.opentelemetry.proto.metrics.v1.Summary) extends io.opentelemetry.proto.metrics.v1.Metric.Data {
type ValueType = io.opentelemetry.proto.metrics.v1.Summary
override def isSummary: _root_.scala.Boolean = true
override def summary: _root_.scala.Option[io.opentelemetry.proto.metrics.v1.Summary] = Some(value)
override def number: _root_.scala.Int = 11
}
}
implicit class MetricLens[UpperPB](_l: _root_.scalapb.lenses.Lens[UpperPB, io.opentelemetry.proto.metrics.v1.Metric]) extends _root_.scalapb.lenses.ObjectLens[UpperPB, io.opentelemetry.proto.metrics.v1.Metric](_l) {
def name: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Predef.String] = field(_.name)((c_, f_) => c_.copy(name = f_))
def description: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Predef.String] = field(_.description)((c_, f_) => c_.copy(description = f_))
def unit: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Predef.String] = field(_.unit)((c_, f_) => c_.copy(unit = f_))
def gauge: _root_.scalapb.lenses.Lens[UpperPB, io.opentelemetry.proto.metrics.v1.Gauge] = field(_.getGauge)((c_, f_) => c_.copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.Gauge(f_)))
def sum: _root_.scalapb.lenses.Lens[UpperPB, io.opentelemetry.proto.metrics.v1.Sum] = field(_.getSum)((c_, f_) => c_.copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.Sum(f_)))
def histogram: _root_.scalapb.lenses.Lens[UpperPB, io.opentelemetry.proto.metrics.v1.Histogram] = field(_.getHistogram)((c_, f_) => c_.copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.Histogram(f_)))
def exponentialHistogram: _root_.scalapb.lenses.Lens[UpperPB, io.opentelemetry.proto.metrics.v1.ExponentialHistogram] = field(_.getExponentialHistogram)((c_, f_) => c_.copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.ExponentialHistogram(f_)))
def summary: _root_.scalapb.lenses.Lens[UpperPB, io.opentelemetry.proto.metrics.v1.Summary] = field(_.getSummary)((c_, f_) => c_.copy(data = io.opentelemetry.proto.metrics.v1.Metric.Data.Summary(f_)))
def data: _root_.scalapb.lenses.Lens[UpperPB, io.opentelemetry.proto.metrics.v1.Metric.Data] = field(_.data)((c_, f_) => c_.copy(data = f_))
}
final val NAME_FIELD_NUMBER = 1
final val DESCRIPTION_FIELD_NUMBER = 2
final val UNIT_FIELD_NUMBER = 3
final val GAUGE_FIELD_NUMBER = 5
final val SUM_FIELD_NUMBER = 7
final val HISTOGRAM_FIELD_NUMBER = 9
final val EXPONENTIAL_HISTOGRAM_FIELD_NUMBER = 10
final val SUMMARY_FIELD_NUMBER = 11
def of(
name: _root_.scala.Predef.String,
description: _root_.scala.Predef.String,
unit: _root_.scala.Predef.String,
data: io.opentelemetry.proto.metrics.v1.Metric.Data
): _root_.io.opentelemetry.proto.metrics.v1.Metric = _root_.io.opentelemetry.proto.metrics.v1.Metric(
name,
description,
unit,
data
)
// @@protoc_insertion_point(GeneratedMessageCompanion[opentelemetry.proto.metrics.v1.Metric])
}
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