gotosocial/vendor/go.opentelemetry.io/otel/sdk/metric/aggregation.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 metric // import "go.opentelemetry.io/otel/sdk/metric"

import (
	"errors"
	"fmt"
)

// errAgg is wrapped by misconfigured aggregations.
var errAgg = errors.New("aggregation")

// Aggregation is the aggregation used to summarize recorded measurements.
type Aggregation interface {
	// copy returns a deep copy of the Aggregation.
	copy() Aggregation

	// err returns an error for any misconfigured Aggregation.
	err() error
}

// AggregationDrop is an Aggregation that drops all recorded data.
type AggregationDrop struct{} // AggregationDrop has no parameters.

var _ Aggregation = AggregationDrop{}

// copy returns a deep copy of d.
func (d AggregationDrop) copy() Aggregation { return d }

// err returns an error for any misconfiguration. A drop aggregation has no
// parameters and cannot be misconfigured, therefore this always returns nil.
func (AggregationDrop) err() error { return nil }

// AggregationDefault is an Aggregation that uses the default instrument kind selection
// mapping to select another Aggregation. A metric reader can be configured to
// make an aggregation selection based on instrument kind that differs from
// the default. This Aggregation ensures the default is used.
//
// See the [DefaultAggregationSelector] for information about the default
// instrument kind selection mapping.
type AggregationDefault struct{} // AggregationDefault has no parameters.

var _ Aggregation = AggregationDefault{}

// copy returns a deep copy of d.
func (d AggregationDefault) copy() Aggregation { return d }

// err returns an error for any misconfiguration. A default aggregation has no
// parameters and cannot be misconfigured, therefore this always returns nil.
func (AggregationDefault) err() error { return nil }

// AggregationSum is an Aggregation that summarizes a set of measurements as their
// arithmetic sum.
type AggregationSum struct{} // AggregationSum has no parameters.

var _ Aggregation = AggregationSum{}

// copy returns a deep copy of s.
func (s AggregationSum) copy() Aggregation { return s }

// err returns an error for any misconfiguration. A sum aggregation has no
// parameters and cannot be misconfigured, therefore this always returns nil.
func (AggregationSum) err() error { return nil }

// AggregationLastValue is an Aggregation that summarizes a set of measurements as the
// last one made.
type AggregationLastValue struct{} // AggregationLastValue has no parameters.

var _ Aggregation = AggregationLastValue{}

// copy returns a deep copy of l.
func (l AggregationLastValue) copy() Aggregation { return l }

// err returns an error for any misconfiguration. A last-value aggregation has
// no parameters and cannot be misconfigured, therefore this always returns
// nil.
func (AggregationLastValue) err() error { return nil }

// AggregationExplicitBucketHistogram is an Aggregation that summarizes a set of
// measurements as an histogram with explicitly defined buckets.
type AggregationExplicitBucketHistogram struct {
	// Boundaries are the increasing bucket boundary values. Boundary values
	// define bucket upper bounds. Buckets are exclusive of their lower
	// boundary and inclusive of their upper bound (except at positive
	// infinity). A measurement is defined to fall into the greatest-numbered
	// bucket with a boundary that is greater than or equal to the
	// measurement. As an example, boundaries defined as:
	//
	// []float64{0, 5, 10, 25, 50, 75, 100, 250, 500, 1000}
	//
	// Will define these buckets:
	//
	// (-∞, 0], (0, 5.0], (5.0, 10.0], (10.0, 25.0], (25.0, 50.0],
	// (50.0, 75.0], (75.0, 100.0], (100.0, 250.0], (250.0, 500.0],
	// (500.0, 1000.0], (1000.0, +∞)
	Boundaries []float64
	// NoMinMax indicates whether to not record the min and max of the
	// distribution. By default, these extrema are recorded.
	//
	// Recording these extrema for cumulative data is expected to have little
	// value, they will represent the entire life of the instrument instead of
	// just the current collection cycle. It is recommended to set this to true
	// for that type of data to avoid computing the low-value extrema.
	NoMinMax bool
}

var _ Aggregation = AggregationExplicitBucketHistogram{}

// errHist is returned by misconfigured ExplicitBucketHistograms.
var errHist = fmt.Errorf("%w: explicit bucket histogram", errAgg)

// err returns an error for any misconfiguration.
func (h AggregationExplicitBucketHistogram) err() error {
	if len(h.Boundaries) <= 1 {
		return nil
	}

	// Check boundaries are monotonic.
	i := h.Boundaries[0]
	for _, j := range h.Boundaries[1:] {
		if i >= j {
			return fmt.Errorf("%w: non-monotonic boundaries: %v", errHist, h.Boundaries)
		}
		i = j
	}

	return nil
}

// copy returns a deep copy of h.
func (h AggregationExplicitBucketHistogram) copy() Aggregation {
	b := make([]float64, len(h.Boundaries))
	copy(b, h.Boundaries)
	return AggregationExplicitBucketHistogram{
		Boundaries: b,
		NoMinMax:   h.NoMinMax,
	}
}

// AggregationBase2ExponentialHistogram is an Aggregation that summarizes a set of
// measurements as an histogram with bucket widths that grow exponentially.
type AggregationBase2ExponentialHistogram struct {
	// MaxSize is the maximum number of buckets to use for the histogram.
	MaxSize int32
	// MaxScale is the maximum resolution scale to use for the histogram.
	//
	// MaxScale has a maximum value of 20. Using a value of 20 means the
	// maximum number of buckets that can fit within the range of a
	// signed 32-bit integer index could be used.
	//
	// MaxScale has a minimum value of -10. Using a value of -10 means only
	// two buckets will be used.
	MaxScale int32

	// NoMinMax indicates whether to not record the min and max of the
	// distribution. By default, these extrema are recorded.
	//
	// Recording these extrema for cumulative data is expected to have little
	// value, they will represent the entire life of the instrument instead of
	// just the current collection cycle. It is recommended to set this to true
	// for that type of data to avoid computing the low-value extrema.
	NoMinMax bool
}

var _ Aggregation = AggregationBase2ExponentialHistogram{}

// copy returns a deep copy of the Aggregation.
func (e AggregationBase2ExponentialHistogram) copy() Aggregation {
	return e
}

const (
	expoMaxScale = 20
	expoMinScale = -10
)

// errExpoHist is returned by misconfigured Base2ExponentialBucketHistograms.
var errExpoHist = fmt.Errorf("%w: exponential histogram", errAgg)

// err returns an error for any misconfigured Aggregation.
func (e AggregationBase2ExponentialHistogram) err() error {
	if e.MaxScale > expoMaxScale {
		return fmt.Errorf("%w: max size %d is greater than maximum scale %d", errExpoHist, e.MaxSize, expoMaxScale)
	}
	if e.MaxSize <= 0 {
		return fmt.Errorf("%w: max size %d is less than or equal to zero", errExpoHist, e.MaxSize)
	}
	return nil
}