gotosocial/vendor/go.opentelemetry.io/otel/sdk/metric/metricdata/data.go
Tsuribori 1ba3e14b36
[feature] Initial Prometheus metrics implementation (#2334)
* feat: Initial OTEL metrics

* docs: add metrics documentation

* fix: metrics endpoint conditional check

* feat: metrics endpoint basic auth

* fix: make metrics-auth-enabled default false

* fix: go fmt helpers.gen.go

* fix: add metric-related env vars to envparsing.sh

* fix: metrics docs

* fix: metrics related stuff in envparsing.sh

* fix: metrics docs

* chore: metrics docs wording

* fix: metrics stuff in envparsing?

* bump otel versions

---------

Co-authored-by: Tsuribori <user@acertaindebian>
Co-authored-by: Tsuribori <none@example.org>
Co-authored-by: tsmethurst <tobi.smethurst@protonmail.com>
2023-11-20 16:43:55 +01:00

294 lines
10 KiB
Go

// Copyright The OpenTelemetry Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package metricdata // import "go.opentelemetry.io/otel/sdk/metric/metricdata"
import (
"time"
"go.opentelemetry.io/otel/attribute"
"go.opentelemetry.io/otel/sdk/instrumentation"
"go.opentelemetry.io/otel/sdk/resource"
)
// ResourceMetrics is a collection of ScopeMetrics and the associated Resource
// that created them.
type ResourceMetrics struct {
// Resource represents the entity that collected the metrics.
Resource *resource.Resource
// ScopeMetrics are the collection of metrics with unique Scopes.
ScopeMetrics []ScopeMetrics
}
// ScopeMetrics is a collection of Metrics Produces by a Meter.
type ScopeMetrics struct {
// Scope is the Scope that the Meter was created with.
Scope instrumentation.Scope
// Metrics are a list of aggregations created by the Meter.
Metrics []Metrics
}
// Metrics is a collection of one or more aggregated timeseries from an Instrument.
type Metrics struct {
// Name is the name of the Instrument that created this data.
Name string
// Description is the description of the Instrument, which can be used in documentation.
Description string
// Unit is the unit in which the Instrument reports.
Unit string
// Data is the aggregated data from an Instrument.
Data Aggregation
}
// Aggregation is the store of data reported by an Instrument.
// It will be one of: Gauge, Sum, Histogram.
type Aggregation interface {
privateAggregation()
}
// Gauge represents a measurement of the current value of an instrument.
type Gauge[N int64 | float64] struct {
// DataPoints are the individual aggregated measurements with unique
// Attributes.
DataPoints []DataPoint[N]
}
func (Gauge[N]) privateAggregation() {}
// Sum represents the sum of all measurements of values from an instrument.
type Sum[N int64 | float64] struct {
// DataPoints are the individual aggregated measurements with unique
// Attributes.
DataPoints []DataPoint[N]
// Temporality describes if the aggregation is reported as the change from the
// last report time, or the cumulative changes since a fixed start time.
Temporality Temporality
// IsMonotonic represents if this aggregation only increases or decreases.
IsMonotonic bool
}
func (Sum[N]) privateAggregation() {}
// DataPoint is a single data point in a timeseries.
type DataPoint[N int64 | float64] struct {
// Attributes is the set of key value pairs that uniquely identify the
// timeseries.
Attributes attribute.Set
// StartTime is when the timeseries was started. (optional)
StartTime time.Time `json:",omitempty"`
// Time is the time when the timeseries was recorded. (optional)
Time time.Time `json:",omitempty"`
// Value is the value of this data point.
Value N
// Exemplars is the sampled Exemplars collected during the timeseries.
Exemplars []Exemplar[N] `json:",omitempty"`
}
// Histogram represents the histogram of all measurements of values from an instrument.
type Histogram[N int64 | float64] struct {
// DataPoints are the individual aggregated measurements with unique
// Attributes.
DataPoints []HistogramDataPoint[N]
// Temporality describes if the aggregation is reported as the change from the
// last report time, or the cumulative changes since a fixed start time.
Temporality Temporality
}
func (Histogram[N]) privateAggregation() {}
// HistogramDataPoint is a single histogram data point in a timeseries.
type HistogramDataPoint[N int64 | float64] struct {
// Attributes is the set of key value pairs that uniquely identify the
// timeseries.
Attributes attribute.Set
// StartTime is when the timeseries was started.
StartTime time.Time
// Time is the time when the timeseries was recorded.
Time time.Time
// Count is the number of updates this histogram has been calculated with.
Count uint64
// Bounds are the upper bounds of the buckets of the histogram. Because the
// last boundary is +infinity this one is implied.
Bounds []float64
// BucketCounts is the count of each of the buckets.
BucketCounts []uint64
// Min is the minimum value recorded. (optional)
Min Extrema[N]
// Max is the maximum value recorded. (optional)
Max Extrema[N]
// Sum is the sum of the values recorded.
Sum N
// Exemplars is the sampled Exemplars collected during the timeseries.
Exemplars []Exemplar[N] `json:",omitempty"`
}
// ExponentialHistogram represents the histogram of all measurements of values from an instrument.
type ExponentialHistogram[N int64 | float64] struct {
// DataPoints are the individual aggregated measurements with unique
// attributes.
DataPoints []ExponentialHistogramDataPoint[N]
// Temporality describes if the aggregation is reported as the change from the
// last report time, or the cumulative changes since a fixed start time.
Temporality Temporality
}
func (ExponentialHistogram[N]) privateAggregation() {}
// ExponentialHistogramDataPoint is a single exponential histogram data point in a timeseries.
type ExponentialHistogramDataPoint[N int64 | float64] struct {
// Attributes is the set of key value pairs that uniquely identify the
// timeseries.
Attributes attribute.Set
// StartTime is when the timeseries was started.
StartTime time.Time
// Time is the time when the timeseries was recorded.
Time time.Time
// Count is the number of updates this histogram has been calculated with.
Count uint64
// Min is the minimum value recorded. (optional)
Min Extrema[N]
// Max is the maximum value recorded. (optional)
Max Extrema[N]
// Sum is the sum of the values recorded.
Sum N
// Scale describes the resolution of the histogram. Boundaries are
// located at powers of the base, where:
//
// base = 2 ^ (2 ^ -Scale)
Scale int32
// ZeroCount is the number of values whose absolute value
// is less than or equal to [ZeroThreshold].
// When ZeroThreshold is 0, this is the number of values that
// cannot be expressed using the standard exponential formula
// as well as values that have been rounded to zero.
// ZeroCount represents the special zero count bucket.
ZeroCount uint64
// PositiveBucket is range of positive value bucket counts.
PositiveBucket ExponentialBucket
// NegativeBucket is range of negative value bucket counts.
NegativeBucket ExponentialBucket
// ZeroThreshold is the width of the zero region. Where the zero region is
// defined as the closed interval [-ZeroThreshold, ZeroThreshold].
ZeroThreshold float64
// Exemplars is the sampled Exemplars collected during the timeseries.
Exemplars []Exemplar[N] `json:",omitempty"`
}
// ExponentialBucket are a set of bucket counts, encoded in a contiguous array
// of counts.
type ExponentialBucket struct {
// Offset is the bucket index of the first entry in the Counts slice.
Offset int32
// Counts is an slice where Counts[i] carries the count of the bucket at
// index (Offset+i). Counts[i] is the count of values greater than
// base^(Offset+i) and less than or equal to base^(Offset+i+1).
Counts []uint64
}
// Extrema is the minimum or maximum value of a dataset.
type Extrema[N int64 | float64] struct {
value N
valid bool
}
// NewExtrema returns an Extrema set to v.
func NewExtrema[N int64 | float64](v N) Extrema[N] {
return Extrema[N]{value: v, valid: true}
}
// Value returns the Extrema value and true if the Extrema is defined.
// Otherwise, if the Extrema is its zero-value, defined will be false.
func (e Extrema[N]) Value() (v N, defined bool) {
return e.value, e.valid
}
// Exemplar is a measurement sampled from a timeseries providing a typical
// example.
type Exemplar[N int64 | float64] struct {
// FilteredAttributes are the attributes recorded with the measurement but
// filtered out of the timeseries' aggregated data.
FilteredAttributes []attribute.KeyValue
// Time is the time when the measurement was recorded.
Time time.Time
// Value is the measured value.
Value N
// SpanID is the ID of the span that was active during the measurement. If
// no span was active or the span was not sampled this will be empty.
SpanID []byte `json:",omitempty"`
// TraceID is the ID of the trace the active span belonged to during the
// measurement. If no span was active or the span was not sampled this will
// be empty.
TraceID []byte `json:",omitempty"`
}
// Summary metric data are used to convey quantile summaries,
// a Prometheus (see: https://prometheus.io/docs/concepts/metric_types/#summary)
// data type.
//
// These data points cannot always be merged in a meaningful way. The Summary
// type is only used by bridges from other metrics libraries, and cannot be
// produced using OpenTelemetry instrumentation.
type Summary struct {
// DataPoints are the individual aggregated measurements with unique
// attributes.
DataPoints []SummaryDataPoint
}
func (Summary) privateAggregation() {}
// SummaryDataPoint is a single data point in a timeseries that describes the
// time-varying values of a Summary metric.
type SummaryDataPoint struct {
// Attributes is the set of key value pairs that uniquely identify the
// timeseries.
Attributes attribute.Set
// StartTime is when the timeseries was started.
StartTime time.Time
// Time is the time when the timeseries was recorded.
Time time.Time
// Count is the number of updates this summary has been calculated with.
Count uint64
// Sum is the sum of the values recorded.
Sum float64
// (Optional) list of values at different quantiles of the distribution calculated
// from the current snapshot. The quantiles must be strictly increasing.
QuantileValues []QuantileValue
}
// QuantileValue is the value at a given quantile of a summary.
type QuantileValue struct {
// Quantile is the quantile of this value.
//
// Must be in the interval [0.0, 1.0].
Quantile float64
// Value is the value at the given quantile of a summary.
//
// Quantile values must NOT be negative.
Value float64
}