io.opencensus.proto.metrics.v1.MetricDescriptor.scala Maven / Gradle / Ivy
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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.opencensus.proto.metrics.v1
/** Defines a metric type and its schema.
*
* @param name
* The metric type, including its DNS name prefix. It must be unique.
* @param description
* A detailed description of the metric, which can be used in documentation.
* @param unit
* The unit in which the metric value is reported. Follows the format
* described by http://unitsofmeasure.org/ucum.html.
* @param labelKeys
* The label keys associated with the metric descriptor.
*/
@SerialVersionUID(0L)
final case class MetricDescriptor(
name: _root_.scala.Predef.String = "",
description: _root_.scala.Predef.String = "",
unit: _root_.scala.Predef.String = "",
`type`: io.opencensus.proto.metrics.v1.MetricDescriptor.Type = io.opencensus.proto.metrics.v1.MetricDescriptor.Type.UNSPECIFIED,
labelKeys: _root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelKey] = _root_.scala.Seq.empty,
unknownFields: _root_.scalapb.UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty
) extends scalapb.GeneratedMessage with scalapb.lenses.Updatable[MetricDescriptor] {
@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)
}
};
{
val __value = `type`.value
if (__value != 0) {
__size += _root_.com.google.protobuf.CodedOutputStream.computeEnumSize(4, __value)
}
};
labelKeys.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 = {
{
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)
}
};
{
val __v = `type`.value
if (__v != 0) {
_output__.writeEnum(4, __v)
}
};
labelKeys.foreach { __v =>
val __m = __v
_output__.writeTag(5, 2)
_output__.writeUInt32NoTag(__m.serializedSize)
__m.writeTo(_output__)
};
unknownFields.writeTo(_output__)
}
def withName(__v: _root_.scala.Predef.String): MetricDescriptor = copy(name = __v)
def withDescription(__v: _root_.scala.Predef.String): MetricDescriptor = copy(description = __v)
def withUnit(__v: _root_.scala.Predef.String): MetricDescriptor = copy(unit = __v)
def withType(__v: io.opencensus.proto.metrics.v1.MetricDescriptor.Type): MetricDescriptor = copy(`type` = __v)
def clearLabelKeys = copy(labelKeys = _root_.scala.Seq.empty)
def addLabelKeys(__vs: io.opencensus.proto.metrics.v1.LabelKey *): MetricDescriptor = addAllLabelKeys(__vs)
def addAllLabelKeys(__vs: Iterable[io.opencensus.proto.metrics.v1.LabelKey]): MetricDescriptor = copy(labelKeys = labelKeys ++ __vs)
def withLabelKeys(__v: _root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelKey]): MetricDescriptor = copy(labelKeys = __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 4 => {
val __t = `type`.javaValueDescriptor
if (__t.getNumber() != 0) __t else null
}
case 5 => labelKeys
}
}
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 4 => _root_.scalapb.descriptors.PEnum(`type`.scalaValueDescriptor)
case 5 => _root_.scalapb.descriptors.PRepeated(labelKeys.iterator.map(_.toPMessage).toVector)
}
}
def toProtoString: _root_.scala.Predef.String = _root_.scalapb.TextFormat.printToUnicodeString(this)
def companion: io.opencensus.proto.metrics.v1.MetricDescriptor.type = io.opencensus.proto.metrics.v1.MetricDescriptor
// @@protoc_insertion_point(GeneratedMessage[opencensus.proto.metrics.v1.MetricDescriptor])
}
object MetricDescriptor extends scalapb.GeneratedMessageCompanion[io.opencensus.proto.metrics.v1.MetricDescriptor] {
implicit def messageCompanion: scalapb.GeneratedMessageCompanion[io.opencensus.proto.metrics.v1.MetricDescriptor] = this
def parseFrom(`_input__`: _root_.com.google.protobuf.CodedInputStream): io.opencensus.proto.metrics.v1.MetricDescriptor = {
var __name: _root_.scala.Predef.String = ""
var __description: _root_.scala.Predef.String = ""
var __unit: _root_.scala.Predef.String = ""
var __type: io.opencensus.proto.metrics.v1.MetricDescriptor.Type = io.opencensus.proto.metrics.v1.MetricDescriptor.Type.UNSPECIFIED
val __labelKeys: _root_.scala.collection.immutable.VectorBuilder[io.opencensus.proto.metrics.v1.LabelKey] = new _root_.scala.collection.immutable.VectorBuilder[io.opencensus.proto.metrics.v1.LabelKey]
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 32 =>
__type = io.opencensus.proto.metrics.v1.MetricDescriptor.Type.fromValue(_input__.readEnum())
case 42 =>
__labelKeys += _root_.scalapb.LiteParser.readMessage[io.opencensus.proto.metrics.v1.LabelKey](_input__)
case tag =>
if (_unknownFields__ == null) {
_unknownFields__ = new _root_.scalapb.UnknownFieldSet.Builder()
}
_unknownFields__.parseField(tag, _input__)
}
}
io.opencensus.proto.metrics.v1.MetricDescriptor(
name = __name,
description = __description,
unit = __unit,
`type` = __type,
labelKeys = __labelKeys.result(),
unknownFields = if (_unknownFields__ == null) _root_.scalapb.UnknownFieldSet.empty else _unknownFields__.result()
)
}
implicit def messageReads: _root_.scalapb.descriptors.Reads[io.opencensus.proto.metrics.v1.MetricDescriptor] = _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.MetricDescriptor(
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(""),
`type` = io.opencensus.proto.metrics.v1.MetricDescriptor.Type.fromValue(__fieldsMap.get(scalaDescriptor.findFieldByNumber(4).get).map(_.as[_root_.scalapb.descriptors.EnumValueDescriptor]).getOrElse(io.opencensus.proto.metrics.v1.MetricDescriptor.Type.UNSPECIFIED.scalaValueDescriptor).number),
labelKeys = __fieldsMap.get(scalaDescriptor.findFieldByNumber(5).get).map(_.as[_root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelKey]]).getOrElse(_root_.scala.Seq.empty)
)
case _ => throw new RuntimeException("Expected PMessage")
}
def javaDescriptor: _root_.com.google.protobuf.Descriptors.Descriptor = MetricsProto.javaDescriptor.getMessageTypes().get(1)
def scalaDescriptor: _root_.scalapb.descriptors.Descriptor = MetricsProto.scalaDescriptor.messages(1)
def messageCompanionForFieldNumber(__number: _root_.scala.Int): _root_.scalapb.GeneratedMessageCompanion[_] = {
var __out: _root_.scalapb.GeneratedMessageCompanion[_] = null
(__number: @_root_.scala.unchecked) match {
case 5 => __out = io.opencensus.proto.metrics.v1.LabelKey
}
__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 4 => io.opencensus.proto.metrics.v1.MetricDescriptor.Type
}
}
lazy val defaultInstance = io.opencensus.proto.metrics.v1.MetricDescriptor(
name = "",
description = "",
unit = "",
`type` = io.opencensus.proto.metrics.v1.MetricDescriptor.Type.UNSPECIFIED,
labelKeys = _root_.scala.Seq.empty
)
/** The kind of metric. It describes how the data is reported.
*
* A gauge is an instantaneous measurement of a value.
*
* A cumulative measurement is a value accumulated over a time interval. In
* a time series, cumulative measurements should have the same start time,
* increasing values and increasing end times, until an event resets the
* cumulative value to zero and sets a new start time for the following
* points.
*/
sealed abstract class Type(val value: _root_.scala.Int) extends _root_.scalapb.GeneratedEnum {
type EnumType = Type
def isUnspecified: _root_.scala.Boolean = false
def isGaugeInt64: _root_.scala.Boolean = false
def isGaugeDouble: _root_.scala.Boolean = false
def isGaugeDistribution: _root_.scala.Boolean = false
def isCumulativeInt64: _root_.scala.Boolean = false
def isCumulativeDouble: _root_.scala.Boolean = false
def isCumulativeDistribution: _root_.scala.Boolean = false
def isSummary: _root_.scala.Boolean = false
def companion: _root_.scalapb.GeneratedEnumCompanion[Type] = io.opencensus.proto.metrics.v1.MetricDescriptor.Type
final def asRecognized: _root_.scala.Option[io.opencensus.proto.metrics.v1.MetricDescriptor.Type.Recognized] = if (isUnrecognized) _root_.scala.None else _root_.scala.Some(this.asInstanceOf[io.opencensus.proto.metrics.v1.MetricDescriptor.Type.Recognized])
}
object Type extends _root_.scalapb.GeneratedEnumCompanion[Type] {
sealed trait Recognized extends Type
implicit def enumCompanion: _root_.scalapb.GeneratedEnumCompanion[Type] = this
/** Do not use this default value.
*/
@SerialVersionUID(0L)
case object UNSPECIFIED extends Type(0) with Type.Recognized {
val index = 0
val name = "UNSPECIFIED"
override def isUnspecified: _root_.scala.Boolean = true
}
/** Integer gauge. The value can go both up and down.
*/
@SerialVersionUID(0L)
case object GAUGE_INT64 extends Type(1) with Type.Recognized {
val index = 1
val name = "GAUGE_INT64"
override def isGaugeInt64: _root_.scala.Boolean = true
}
/** Floating point gauge. The value can go both up and down.
*/
@SerialVersionUID(0L)
case object GAUGE_DOUBLE extends Type(2) with Type.Recognized {
val index = 2
val name = "GAUGE_DOUBLE"
override def isGaugeDouble: _root_.scala.Boolean = true
}
/** Distribution gauge measurement. The count and sum can go both up and
* down. Recorded values are always >= 0.
* Used in scenarios like a snapshot of time the current items in a queue
* have spent there.
*/
@SerialVersionUID(0L)
case object GAUGE_DISTRIBUTION extends Type(3) with Type.Recognized {
val index = 3
val name = "GAUGE_DISTRIBUTION"
override def isGaugeDistribution: _root_.scala.Boolean = true
}
/** Integer cumulative measurement. The value cannot decrease, if resets
* then the start_time should also be reset.
*/
@SerialVersionUID(0L)
case object CUMULATIVE_INT64 extends Type(4) with Type.Recognized {
val index = 4
val name = "CUMULATIVE_INT64"
override def isCumulativeInt64: _root_.scala.Boolean = true
}
/** Floating point cumulative measurement. The value cannot decrease, if
* resets then the start_time should also be reset. Recorded values are
* always >= 0.
*/
@SerialVersionUID(0L)
case object CUMULATIVE_DOUBLE extends Type(5) with Type.Recognized {
val index = 5
val name = "CUMULATIVE_DOUBLE"
override def isCumulativeDouble: _root_.scala.Boolean = true
}
/** Distribution cumulative measurement. The count and sum cannot decrease,
* if resets then the start_time should also be reset.
*/
@SerialVersionUID(0L)
case object CUMULATIVE_DISTRIBUTION extends Type(6) with Type.Recognized {
val index = 6
val name = "CUMULATIVE_DISTRIBUTION"
override def isCumulativeDistribution: _root_.scala.Boolean = true
}
/** Some frameworks implemented Histograms as a summary of observations
* (usually things like request durations and response sizes). While it
* also provides a total count of observations and a sum of all observed
* values, it calculates configurable percentiles over a sliding time
* window. This is not recommended, since it cannot be aggregated.
*/
@SerialVersionUID(0L)
case object SUMMARY extends Type(7) with Type.Recognized {
val index = 7
val name = "SUMMARY"
override def isSummary: _root_.scala.Boolean = true
}
@SerialVersionUID(0L)
final case class Unrecognized(unrecognizedValue: _root_.scala.Int) extends Type(unrecognizedValue) with _root_.scalapb.UnrecognizedEnum
lazy val values = scala.collection.immutable.Seq(UNSPECIFIED, GAUGE_INT64, GAUGE_DOUBLE, GAUGE_DISTRIBUTION, CUMULATIVE_INT64, CUMULATIVE_DOUBLE, CUMULATIVE_DISTRIBUTION, SUMMARY)
def fromValue(__value: _root_.scala.Int): Type = __value match {
case 0 => UNSPECIFIED
case 1 => GAUGE_INT64
case 2 => GAUGE_DOUBLE
case 3 => GAUGE_DISTRIBUTION
case 4 => CUMULATIVE_INT64
case 5 => CUMULATIVE_DOUBLE
case 6 => CUMULATIVE_DISTRIBUTION
case 7 => SUMMARY
case __other => Unrecognized(__other)
}
def javaDescriptor: _root_.com.google.protobuf.Descriptors.EnumDescriptor = io.opencensus.proto.metrics.v1.MetricDescriptor.javaDescriptor.getEnumTypes().get(0)
def scalaDescriptor: _root_.scalapb.descriptors.EnumDescriptor = io.opencensus.proto.metrics.v1.MetricDescriptor.scalaDescriptor.enums(0)
}
implicit class MetricDescriptorLens[UpperPB](_l: _root_.scalapb.lenses.Lens[UpperPB, io.opencensus.proto.metrics.v1.MetricDescriptor]) extends _root_.scalapb.lenses.ObjectLens[UpperPB, io.opencensus.proto.metrics.v1.MetricDescriptor](_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 `type`: _root_.scalapb.lenses.Lens[UpperPB, io.opencensus.proto.metrics.v1.MetricDescriptor.Type] = field(_.`type`)((c_, f_) => c_.copy(`type` = f_))
def labelKeys: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelKey]] = field(_.labelKeys)((c_, f_) => c_.copy(labelKeys = f_))
}
final val NAME_FIELD_NUMBER = 1
final val DESCRIPTION_FIELD_NUMBER = 2
final val UNIT_FIELD_NUMBER = 3
final val TYPE_FIELD_NUMBER = 4
final val LABEL_KEYS_FIELD_NUMBER = 5
def of(
name: _root_.scala.Predef.String,
description: _root_.scala.Predef.String,
unit: _root_.scala.Predef.String,
`type`: io.opencensus.proto.metrics.v1.MetricDescriptor.Type,
labelKeys: _root_.scala.Seq[io.opencensus.proto.metrics.v1.LabelKey]
): _root_.io.opencensus.proto.metrics.v1.MetricDescriptor = _root_.io.opencensus.proto.metrics.v1.MetricDescriptor(
name,
description,
unit,
`type`,
labelKeys
)
// @@protoc_insertion_point(GeneratedMessageCompanion[opencensus.proto.metrics.v1.MetricDescriptor])
}
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