mirror of
https://github.com/Luzifer/promcertcheck.git
synced 2024-11-14 10:42:42 +00:00
436 lines
11 KiB
Go
436 lines
11 KiB
Go
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// Copyright 2015 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 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 expfmt
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import (
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"io"
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"net/http"
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"reflect"
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"sort"
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"strings"
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"testing"
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"github.com/golang/protobuf/proto"
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dto "github.com/prometheus/client_model/go"
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"github.com/prometheus/common/model"
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)
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func TestTextDecoder(t *testing.T) {
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var (
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ts = model.Now()
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in = `
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# Only a quite simple scenario with two metric families.
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# More complicated tests of the parser itself can be found in the text package.
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# TYPE mf2 counter
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mf2 3
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mf1{label="value1"} -3.14 123456
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mf1{label="value2"} 42
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mf2 4
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`
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out = model.Vector{
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "mf1",
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"label": "value1",
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},
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Value: -3.14,
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Timestamp: 123456,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "mf1",
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"label": "value2",
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},
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Value: 42,
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Timestamp: ts,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "mf2",
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},
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Value: 3,
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Timestamp: ts,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "mf2",
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},
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Value: 4,
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Timestamp: ts,
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},
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}
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)
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dec := &SampleDecoder{
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Dec: &textDecoder{r: strings.NewReader(in)},
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Opts: &DecodeOptions{
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Timestamp: ts,
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},
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}
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var all model.Vector
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for {
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var smpls model.Vector
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err := dec.Decode(&smpls)
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if err == io.EOF {
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break
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}
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if err != nil {
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t.Fatal(err)
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}
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all = append(all, smpls...)
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}
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sort.Sort(all)
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sort.Sort(out)
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if !reflect.DeepEqual(all, out) {
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t.Fatalf("output does not match")
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}
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}
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func TestProtoDecoder(t *testing.T) {
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var testTime = model.Now()
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scenarios := []struct {
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in string
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expected model.Vector
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fail bool
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}{
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{
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in: "",
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},
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{
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in: "\x8f\x01\n\rrequest_count\x12\x12Number of requests\x18\x00\"0\n#\n\x0fsome_!abel_name\x12\x10some_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00E\xc0\"6\n)\n\x12another_label_name\x12\x13another_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00U@",
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fail: true,
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},
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{
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in: "\x8f\x01\n\rrequest_count\x12\x12Number of requests\x18\x00\"0\n#\n\x0fsome_label_name\x12\x10some_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00E\xc0\"6\n)\n\x12another_label_name\x12\x13another_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00U@",
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expected: model.Vector{
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count",
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"some_label_name": "some_label_value",
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},
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Value: -42,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count",
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"another_label_name": "another_label_value",
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},
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Value: 84,
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Timestamp: testTime,
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},
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},
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},
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{
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in: "\xb9\x01\n\rrequest_count\x12\x12Number of requests\x18\x02\"O\n#\n\x0fsome_label_name\x12\x10some_label_value\"(\x1a\x12\t\xaeG\xe1z\x14\xae\xef?\x11\x00\x00\x00\x00\x00\x00E\xc0\x1a\x12\t+\x87\x16\xd9\xce\xf7\xef?\x11\x00\x00\x00\x00\x00\x00U\xc0\"A\n)\n\x12another_label_name\x12\x13another_label_value\"\x14\x1a\x12\t\x00\x00\x00\x00\x00\x00\xe0?\x11\x00\x00\x00\x00\x00\x00$@",
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expected: model.Vector{
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count_count",
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"some_label_name": "some_label_value",
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},
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Value: 0,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count_sum",
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"some_label_name": "some_label_value",
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},
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Value: 0,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count",
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"some_label_name": "some_label_value",
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"quantile": "0.99",
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},
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Value: -42,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count",
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"some_label_name": "some_label_value",
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"quantile": "0.999",
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},
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Value: -84,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count_count",
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"another_label_name": "another_label_value",
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},
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Value: 0,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count_sum",
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"another_label_name": "another_label_value",
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},
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Value: 0,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count",
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"another_label_name": "another_label_value",
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"quantile": "0.5",
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},
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Value: 10,
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Timestamp: testTime,
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},
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},
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},
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{
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in: "\x8d\x01\n\x1drequest_duration_microseconds\x12\x15The response latency.\x18\x04\"S:Q\b\x85\x15\x11\xcd\xcc\xccL\x8f\xcb:A\x1a\v\b{\x11\x00\x00\x00\x00\x00\x00Y@\x1a\f\b\x9c\x03\x11\x00\x00\x00\x00\x00\x00^@\x1a\f\b\xd0\x04\x11\x00\x00\x00\x00\x00\x00b@\x1a\f\b\xf4\v\x11\x9a\x99\x99\x99\x99\x99e@\x1a\f\b\x85\x15\x11\x00\x00\x00\x00\x00\x00\xf0\u007f",
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expected: model.Vector{
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_duration_microseconds_bucket",
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"le": "100",
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},
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Value: 123,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_duration_microseconds_bucket",
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"le": "120",
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},
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Value: 412,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_duration_microseconds_bucket",
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"le": "144",
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},
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Value: 592,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_duration_microseconds_bucket",
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"le": "172.8",
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},
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Value: 1524,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_duration_microseconds_bucket",
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"le": "+Inf",
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},
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Value: 2693,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_duration_microseconds_sum",
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},
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Value: 1756047.3,
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Timestamp: testTime,
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},
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_duration_microseconds_count",
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},
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Value: 2693,
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Timestamp: testTime,
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},
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},
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},
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{
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// The metric type is unset in this protobuf, which needs to be handled
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// correctly by the decoder.
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in: "\x1c\n\rrequest_count\"\v\x1a\t\t\x00\x00\x00\x00\x00\x00\xf0?",
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expected: model.Vector{
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&model.Sample{
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Metric: model.Metric{
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model.MetricNameLabel: "request_count",
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},
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Value: 1,
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Timestamp: testTime,
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},
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},
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},
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}
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for i, scenario := range scenarios {
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dec := &SampleDecoder{
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Dec: &protoDecoder{r: strings.NewReader(scenario.in)},
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Opts: &DecodeOptions{
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Timestamp: testTime,
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},
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}
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var all model.Vector
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for {
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var smpls model.Vector
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err := dec.Decode(&smpls)
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if err == io.EOF {
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break
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}
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if scenario.fail {
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if err == nil {
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t.Fatal("Expected error but got none")
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}
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break
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}
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if err != nil {
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t.Fatal(err)
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}
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all = append(all, smpls...)
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}
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sort.Sort(all)
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sort.Sort(scenario.expected)
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if !reflect.DeepEqual(all, scenario.expected) {
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t.Fatalf("%d. output does not match, want: %#v, got %#v", i, scenario.expected, all)
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}
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}
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}
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func testDiscriminatorHTTPHeader(t testing.TB) {
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var scenarios = []struct {
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input map[string]string
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output Format
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err error
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}{
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{
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input: map[string]string{"Content-Type": `application/vnd.google.protobuf; proto="io.prometheus.client.MetricFamily"; encoding="delimited"`},
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output: FmtProtoDelim,
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},
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{
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input: map[string]string{"Content-Type": `application/vnd.google.protobuf; proto="illegal"; encoding="delimited"`},
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output: FmtUnknown,
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},
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{
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input: map[string]string{"Content-Type": `application/vnd.google.protobuf; proto="io.prometheus.client.MetricFamily"; encoding="illegal"`},
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output: FmtUnknown,
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},
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{
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input: map[string]string{"Content-Type": `text/plain; version=0.0.4`},
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output: FmtText,
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},
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{
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input: map[string]string{"Content-Type": `text/plain`},
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output: FmtText,
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},
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{
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input: map[string]string{"Content-Type": `text/plain; version=0.0.3`},
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output: FmtUnknown,
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},
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}
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for i, scenario := range scenarios {
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var header http.Header
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if len(scenario.input) > 0 {
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header = http.Header{}
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}
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for key, value := range scenario.input {
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header.Add(key, value)
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}
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actual := ResponseFormat(header)
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if scenario.output != actual {
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t.Errorf("%d. expected %s, got %s", i, scenario.output, actual)
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}
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}
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}
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func TestDiscriminatorHTTPHeader(t *testing.T) {
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testDiscriminatorHTTPHeader(t)
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}
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func BenchmarkDiscriminatorHTTPHeader(b *testing.B) {
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for i := 0; i < b.N; i++ {
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testDiscriminatorHTTPHeader(b)
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}
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}
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func TestExtractSamples(t *testing.T) {
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var (
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goodMetricFamily1 = &dto.MetricFamily{
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|
|
Name: proto.String("foo"),
|
||
|
|
Help: proto.String("Help for foo."),
|
||
|
|
Type: dto.MetricType_COUNTER.Enum(),
|
||
|
|
Metric: []*dto.Metric{
|
||
|
|
&dto.Metric{
|
||
|
|
Counter: &dto.Counter{
|
||
|
|
Value: proto.Float64(4711),
|
||
|
|
},
|
||
|
|
},
|
||
|
|
},
|
||
|
|
}
|
||
|
|
goodMetricFamily2 = &dto.MetricFamily{
|
||
|
|
Name: proto.String("bar"),
|
||
|
|
Help: proto.String("Help for bar."),
|
||
|
|
Type: dto.MetricType_GAUGE.Enum(),
|
||
|
|
Metric: []*dto.Metric{
|
||
|
|
&dto.Metric{
|
||
|
|
Gauge: &dto.Gauge{
|
||
|
|
Value: proto.Float64(3.14),
|
||
|
|
},
|
||
|
|
},
|
||
|
|
},
|
||
|
|
}
|
||
|
|
badMetricFamily = &dto.MetricFamily{
|
||
|
|
Name: proto.String("bad"),
|
||
|
|
Help: proto.String("Help for bad."),
|
||
|
|
Type: dto.MetricType(42).Enum(),
|
||
|
|
Metric: []*dto.Metric{
|
||
|
|
&dto.Metric{
|
||
|
|
Gauge: &dto.Gauge{
|
||
|
|
Value: proto.Float64(2.7),
|
||
|
|
},
|
||
|
|
},
|
||
|
|
},
|
||
|
|
}
|
||
|
|
|
||
|
|
opts = &DecodeOptions{
|
||
|
|
Timestamp: 42,
|
||
|
|
}
|
||
|
|
)
|
||
|
|
|
||
|
|
got, err := ExtractSamples(opts, goodMetricFamily1, goodMetricFamily2)
|
||
|
|
if err != nil {
|
||
|
|
t.Error("Unexpected error from ExtractSamples:", err)
|
||
|
|
}
|
||
|
|
want := model.Vector{
|
||
|
|
&model.Sample{Metric: model.Metric{model.MetricNameLabel: "foo"}, Value: 4711, Timestamp: 42},
|
||
|
|
&model.Sample{Metric: model.Metric{model.MetricNameLabel: "bar"}, Value: 3.14, Timestamp: 42},
|
||
|
|
}
|
||
|
|
if !reflect.DeepEqual(got, want) {
|
||
|
|
t.Errorf("unexpected samples extracted, got: %v, want: %v", got, want)
|
||
|
|
}
|
||
|
|
|
||
|
|
got, err = ExtractSamples(opts, goodMetricFamily1, badMetricFamily, goodMetricFamily2)
|
||
|
|
if err == nil {
|
||
|
|
t.Error("Expected error from ExtractSamples")
|
||
|
|
}
|
||
|
|
if !reflect.DeepEqual(got, want) {
|
||
|
|
t.Errorf("unexpected samples extracted, got: %v, want: %v", got, want)
|
||
|
|
}
|
||
|
|
}
|