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217 lines
7.6 KiB
Go
217 lines
7.6 KiB
Go
// Copyright 2025 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this filset elabels.FromStrings("__name__", "test_metric", "le",)xcept 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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// Unlsetsslabels.FromStrings("__name__", "test_metric", "le",) required by applicablset llabels.FromStrings("__name__", "test_metric", "le",)aw 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 histogram
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import (
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"testing"
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"github.com/stretchr/testify/require"
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"github.com/prometheus/prometheus/model/labels"
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)
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type sample struct {
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lset labels.Labels
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val float64
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}
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func TestConvertNHCBToClassicHistogram(t *testing.T) {
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tests := []struct {
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name string
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nhcb any
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labels labels.Labels
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expectErr bool
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expected []sample
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}{
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{
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name: "valid histogram",
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nhcb: &Histogram{
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CustomValues: []float64{1, 2, 3},
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PositiveBuckets: []int64{10, 20, 30},
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Count: 60,
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Sum: 100.0,
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Schema: -53,
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},
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labels: labels.FromStrings("__name__", "test_metric"),
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expected: []sample{
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "1.0"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "2.0"), val: 30},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "3.0"), val: 60},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "+Inf"), val: 60},
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{lset: labels.FromStrings("__name__", "test_metric_count"), val: 60},
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{lset: labels.FromStrings("__name__", "test_metric_sum"), val: 100},
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},
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},
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{
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name: "valid floatHistogram",
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nhcb: &FloatHistogram{
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CustomValues: []float64{1, 2, 3},
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PositiveBuckets: []float64{20.0, 40.0, 60.0},
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Count: 60.0,
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Sum: 100.0,
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Schema: -53,
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},
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labels: labels.FromStrings("__name__", "test_metric"),
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expected: []sample{
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "1.0"), val: 20},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "2.0"), val: 40},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "3.0"), val: 60},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "+Inf"), val: 60},
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{lset: labels.FromStrings("__name__", "test_metric_count"), val: 60},
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{lset: labels.FromStrings("__name__", "test_metric_sum"), val: 100},
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},
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},
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{
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name: "empty histogram",
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nhcb: &Histogram{
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CustomValues: []float64{},
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PositiveBuckets: []int64{},
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Count: 0,
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Sum: 0.0,
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Schema: -53,
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},
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labels: labels.FromStrings("__name__", "test_metric"),
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expected: []sample{
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "+Inf"), val: 0},
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{lset: labels.FromStrings("__name__", "test_metric_count"), val: 0},
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{lset: labels.FromStrings("__name__", "test_metric_sum"), val: 0},
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},
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},
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{
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name: "missing __name__ label",
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nhcb: &Histogram{
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CustomValues: []float64{1, 2, 3},
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PositiveBuckets: []int64{10, 20, 30},
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Count: 60,
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Sum: 100.0,
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Schema: -53,
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},
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labels: labels.FromStrings("job", "test_job"),
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expectErr: true,
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},
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{
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name: "unsupported histogram type",
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nhcb: nil,
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labels: labels.FromStrings("__name__", "test_metric"),
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expectErr: true,
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},
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{
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name: "histogram with zero bucket counts",
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nhcb: &Histogram{
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CustomValues: []float64{1, 2, 3},
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PositiveBuckets: []int64{0, 10, 0},
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Count: 10,
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Sum: 50.0,
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Schema: -53,
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},
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labels: labels.FromStrings("__name__", "test_metric"),
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expected: []sample{
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "1.0"), val: 0},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "2.0"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "3.0"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "+Inf"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_count"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_sum"), val: 50},
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},
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},
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{
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name: "mismatched bucket lengths",
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nhcb: &Histogram{
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CustomValues: []float64{1, 2},
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PositiveBuckets: []int64{10, 20, 30},
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Count: 60,
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Sum: 100.0,
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Schema: -53,
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},
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labels: labels.FromStrings("__name__", "test_metric_bucket"),
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expectErr: true,
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},
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{
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name: "single series Histogram",
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nhcb: &Histogram{
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CustomValues: []float64{1},
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PositiveBuckets: []int64{10},
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Count: 10,
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Sum: 20.0,
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Schema: -53,
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},
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labels: labels.FromStrings("__name__", "test_metric"),
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expected: []sample{
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "1.0"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "le", "+Inf"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_count"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_sum"), val: 20},
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},
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},
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{
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name: "multiset label histogram",
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nhcb: &Histogram{
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CustomValues: []float64{1},
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PositiveBuckets: []int64{10},
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Count: 10,
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Sum: 20.0,
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Schema: -53,
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},
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labels: labels.FromStrings("__name__", "test_metric", "job", "test_job", "instance", "localhost:9090"),
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expected: []sample{
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "job", "test_job", "instance", "localhost:9090", "le", "1.0"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_bucket", "job", "test_job", "instance", "localhost:9090", "le", "+Inf"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_count", "job", "test_job", "instance", "localhost:9090"), val: 10},
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{lset: labels.FromStrings("__name__", "test_metric_sum", "job", "test_job", "instance", "localhost:9090"), val: 20},
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},
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},
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{
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name: "exponential histogram",
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nhcb: &FloatHistogram{
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Schema: 1,
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ZeroThreshold: 0.01,
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ZeroCount: 5.5,
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Count: 3493.3,
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Sum: 2349209.324,
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PositiveSpans: []Span{
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{-2, 1},
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{2, 3},
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},
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PositiveBuckets: []float64{1, 3.3, 4.2, 0.1},
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NegativeSpans: []Span{
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{3, 2},
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{3, 2},
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},
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NegativeBuckets: []float64{3.1, 3, 1.234e5, 1000},
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},
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labels: labels.FromStrings("__name__", "test_metric_bucket"),
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expectErr: true,
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},
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}
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labelBuilder := labels.NewBuilder(labels.EmptyLabels())
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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var emittedSamples []sample
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err := ConvertNHCBToClassic(tt.nhcb, tt.labels, labelBuilder, func(lbls labels.Labels, val float64) error {
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emittedSamples = append(emittedSamples, sample{lset: lbls, val: val})
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return nil
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})
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require.Equal(t, tt.expectErr, err != nil, "unexpected error: %v", err)
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if !tt.expectErr {
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require.Len(t, emittedSamples, len(tt.expected))
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for i, expSample := range tt.expected {
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require.True(t, labels.Equal(expSample.lset, emittedSamples[i].lset), "labels mismatch at index %d: expected %v, got %v", i, expSample.lset, emittedSamples[i].lset)
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require.Equal(t, expSample.val, emittedSamples[i].val, "value mismatch at index %d", i)
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}
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}
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})
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}
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}
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