mirror of
https://github.com/open-telemetry/opentelemetry-go.git
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9040d824ae
* Array aggregator part 1 * Improve median testing * More testing * More testing * Update other dist tests * Add to the benchmark * Move errors into aggregator package, use from ddsketch; update Max/Min/Quantile to return errors for array/ddsketch/maxsumcount * Lint * Test non-absolute ddsketch * Lint * Comment * Add note
150 lines
3.5 KiB
Go
150 lines
3.5 KiB
Go
// Copyright 2019, 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 test
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import (
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"context"
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"math/rand"
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"sort"
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"testing"
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"go.opentelemetry.io/otel/api/core"
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"go.opentelemetry.io/otel/sdk/export"
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)
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var _ export.MetricBatcher = &metricBatcher{}
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var _ export.MetricRecord = &metricRecord{}
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const Magnitude = 1000
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type Profile struct {
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NumberKind core.NumberKind
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Random func(sign int) core.Number
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}
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func newProfiles() []Profile {
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rnd := rand.New(rand.NewSource(rand.Int63()))
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return []Profile{
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{
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NumberKind: core.Int64NumberKind,
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Random: func(sign int) core.Number {
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return core.NewInt64Number(int64(sign) * int64(rnd.Intn(Magnitude+1)))
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},
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},
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{
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NumberKind: core.Float64NumberKind,
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Random: func(sign int) core.Number {
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return core.NewFloat64Number(float64(sign) * rnd.Float64() * Magnitude)
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},
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},
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}
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}
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type metricBatcher struct {
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}
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type metricRecord struct {
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descriptor *export.Descriptor
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}
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func NewAggregatorTest(mkind export.MetricKind, nkind core.NumberKind, alternate bool) (export.MetricBatcher, export.MetricRecord) {
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desc := export.NewDescriptor("test.name", mkind, nil, "", "", nkind, alternate)
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return &metricBatcher{}, &metricRecord{descriptor: desc}
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}
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func (t *metricRecord) Descriptor() *export.Descriptor {
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return t.descriptor
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}
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func (t *metricRecord) Labels() []core.KeyValue {
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return nil
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}
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func (m *metricBatcher) AggregatorFor(rec export.MetricRecord) export.MetricAggregator {
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return nil
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}
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func (m *metricBatcher) Export(context.Context, export.MetricRecord, export.MetricAggregator) {
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}
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func RunProfiles(t *testing.T, f func(*testing.T, Profile)) {
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for _, profile := range newProfiles() {
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t.Run(profile.NumberKind.String(), func(t *testing.T) {
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f(t, profile)
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})
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}
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}
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type Numbers struct {
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kind core.NumberKind
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numbers []core.Number
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}
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func NewNumbers(kind core.NumberKind) Numbers {
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return Numbers{
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kind: kind,
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}
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}
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func (n *Numbers) Append(v core.Number) {
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n.numbers = append(n.numbers, v)
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}
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func (n *Numbers) Sort() {
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sort.Sort(n)
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}
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func (n *Numbers) Less(i, j int) bool {
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return n.numbers[i].CompareNumber(n.kind, n.numbers[j]) < 0
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}
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func (n *Numbers) Len() int {
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return len(n.numbers)
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}
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func (n *Numbers) Swap(i, j int) {
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n.numbers[i], n.numbers[j] = n.numbers[j], n.numbers[i]
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}
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func (n *Numbers) Sum() core.Number {
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var sum core.Number
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for _, num := range n.numbers {
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sum.AddNumber(n.kind, num)
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}
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return sum
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}
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func (n *Numbers) Count() int64 {
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return int64(len(n.numbers))
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}
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func (n *Numbers) Min() core.Number {
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return n.numbers[0]
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}
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func (n *Numbers) Max() core.Number {
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return n.numbers[len(n.numbers)-1]
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}
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// Median() is an alias for Quantile(0.5).
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func (n *Numbers) Median() core.Number {
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// Note that len(n.numbers) is 1 greater than the max element
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// index, so dividing by two rounds up. This gives the
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// intended definition for Quantile() in tests, which is to
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// return the smallest element that is at or above the
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// specified quantile.
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return n.numbers[len(n.numbers)/2]
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}
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