mirror of
https://github.com/superseriousbusiness/gotosocial.git
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5e871e81a8
* otel to 1.24 * prometheus exporter to 0.46 * bunotel to 1.1.17 Also: * Use schemaless URL for metrics * Add software version to tracing schema
90 lines
2.3 KiB
Go
90 lines
2.3 KiB
Go
// Copyright The OpenTelemetry Authors
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate"
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import (
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"context"
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"sync"
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"time"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/sdk/metric/internal/exemplar"
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"go.opentelemetry.io/otel/sdk/metric/metricdata"
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)
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// datapoint is timestamped measurement data.
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type datapoint[N int64 | float64] struct {
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timestamp time.Time
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value N
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res exemplar.Reservoir[N]
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}
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func newLastValue[N int64 | float64](limit int, r func() exemplar.Reservoir[N]) *lastValue[N] {
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return &lastValue[N]{
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newRes: r,
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limit: newLimiter[datapoint[N]](limit),
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values: make(map[attribute.Set]datapoint[N]),
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}
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}
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// lastValue summarizes a set of measurements as the last one made.
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type lastValue[N int64 | float64] struct {
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sync.Mutex
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newRes func() exemplar.Reservoir[N]
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limit limiter[datapoint[N]]
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values map[attribute.Set]datapoint[N]
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}
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func (s *lastValue[N]) measure(ctx context.Context, value N, fltrAttr attribute.Set, droppedAttr []attribute.KeyValue) {
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t := now()
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s.Lock()
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defer s.Unlock()
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attr := s.limit.Attributes(fltrAttr, s.values)
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d, ok := s.values[attr]
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if !ok {
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d.res = s.newRes()
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}
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d.timestamp = t
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d.value = value
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d.res.Offer(ctx, t, value, droppedAttr)
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s.values[attr] = d
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}
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func (s *lastValue[N]) computeAggregation(dest *[]metricdata.DataPoint[N]) {
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s.Lock()
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defer s.Unlock()
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n := len(s.values)
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*dest = reset(*dest, n, n)
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var i int
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for a, v := range s.values {
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(*dest)[i].Attributes = a
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// The event time is the only meaningful timestamp, StartTime is
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// ignored.
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(*dest)[i].Time = v.timestamp
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(*dest)[i].Value = v.value
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v.res.Collect(&(*dest)[i].Exemplars)
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// Do not report stale values.
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delete(s.values, a)
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i++
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}
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}
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