prometheus/cmd/promtool/analyze_test.go
zenador 6150e1ca0e
Add analyze histograms command to promtool (#12331)
Add `query analyze` command to promtool

This command analyzes the buckets of classic and native histograms,
based on data queried from the Prometheus query API, i.e. it
doesn't require direct access to the TSDB files.

Signed-off-by: Jeanette Tan <jeanette.tan@grafana.com>

---------

Signed-off-by: Jeanette Tan <jeanette.tan@grafana.com>
2024-01-10 17:32:36 +01:00

171 lines
3 KiB
Go

// Copyright 2023 The Prometheus 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 main
import (
"fmt"
"testing"
"github.com/stretchr/testify/require"
"github.com/prometheus/common/model"
)
var (
exampleMatrix = model.Matrix{
&model.SampleStream{
Metric: model.Metric{
"le": "+Inf",
},
Values: []model.SamplePair{
{
Value: 31,
Timestamp: 100,
},
{
Value: 32,
Timestamp: 200,
},
{
Value: 40,
Timestamp: 300,
},
},
},
&model.SampleStream{
Metric: model.Metric{
"le": "0.5",
},
Values: []model.SamplePair{
{
Value: 10,
Timestamp: 100,
},
{
Value: 11,
Timestamp: 200,
},
{
Value: 11,
Timestamp: 300,
},
},
},
&model.SampleStream{
Metric: model.Metric{
"le": "10",
},
Values: []model.SamplePair{
{
Value: 30,
Timestamp: 100,
},
{
Value: 31,
Timestamp: 200,
},
{
Value: 37,
Timestamp: 300,
},
},
},
&model.SampleStream{
Metric: model.Metric{
"le": "2",
},
Values: []model.SamplePair{
{
Value: 25,
Timestamp: 100,
},
{
Value: 26,
Timestamp: 200,
},
{
Value: 27,
Timestamp: 300,
},
},
},
}
exampleMatrixLength = len(exampleMatrix)
)
func init() {
sortMatrix(exampleMatrix)
}
func TestGetBucketCountsAtTime(t *testing.T) {
cases := []struct {
matrix model.Matrix
length int
timeIdx int
expected []int
}{
{
exampleMatrix,
exampleMatrixLength,
0,
[]int{10, 15, 5, 1},
},
{
exampleMatrix,
exampleMatrixLength,
1,
[]int{11, 15, 5, 1},
},
{
exampleMatrix,
exampleMatrixLength,
2,
[]int{11, 16, 10, 3},
},
}
for _, c := range cases {
t.Run(fmt.Sprintf("exampleMatrix@%d", c.timeIdx), func(t *testing.T) {
res, err := getBucketCountsAtTime(c.matrix, c.length, c.timeIdx)
require.NoError(t, err)
require.Equal(t, c.expected, res)
})
}
}
func TestCalcClassicBucketStatistics(t *testing.T) {
cases := []struct {
matrix model.Matrix
expected *statistics
}{
{
exampleMatrix,
&statistics{
minPop: 4,
avgPop: 4,
maxPop: 4,
total: 4,
},
},
}
for i, c := range cases {
t.Run(fmt.Sprintf("case %d", i), func(t *testing.T) {
res, err := calcClassicBucketStatistics(c.matrix)
require.NoError(t, err)
require.Equal(t, c.expected, res)
})
}
}