mirror of
https://github.com/prometheus/prometheus.git
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f2ded515b7
client_golang was updated to support full label-oriented telemetry, which introduced interface incompatibilities with the previous version of Prometheus. To alleviate this, a general fetching and processing dispatching system has been created, which discriminates and processes according to the version of input.
263 lines
7.2 KiB
Go
263 lines
7.2 KiB
Go
// Copyright 2013 Prometheus Team
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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 format
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import (
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"container/list"
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"fmt"
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"github.com/matttproud/prometheus/model"
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"github.com/matttproud/prometheus/utility/test"
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"io/ioutil"
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"strings"
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"testing"
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)
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func testProcessor001Process(t test.Tester) {
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var scenarios = []struct {
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in string
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out []Result
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err error
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}{
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{
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err: fmt.Errorf("unexpected end of JSON input"),
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},
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{
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in: "[{\"baseLabels\":{\"name\":\"rpc_calls_total\"},\"docstring\":\"RPC calls.\",\"metric\":{\"type\":\"counter\",\"value\":[{\"labels\":{\"service\":\"zed\"},\"value\":25},{\"labels\":{\"service\":\"bar\"},\"value\":25},{\"labels\":{\"service\":\"foo\"},\"value\":25}]}},{\"baseLabels\":{\"name\":\"rpc_latency_microseconds\"},\"docstring\":\"RPC latency.\",\"metric\":{\"type\":\"histogram\",\"value\":[{\"labels\":{\"service\":\"foo\"},\"value\":{\"0.010000\":15.890724674774395,\"0.050000\":15.890724674774395,\"0.500000\":84.63044031436561,\"0.900000\":160.21100853053224,\"0.990000\":172.49828748957728}},{\"labels\":{\"service\":\"zed\"},\"value\":{\"0.010000\":0.0459814091918713,\"0.050000\":0.0459814091918713,\"0.500000\":0.6120456642749681,\"0.900000\":1.355915069887731,\"0.990000\":1.772733213161236}},{\"labels\":{\"service\":\"bar\"},\"value\":{\"0.010000\":78.48563317257356,\"0.050000\":78.48563317257356,\"0.500000\":97.31798360385088,\"0.900000\":109.89202084295582,\"0.990000\":109.99626121011262}}]}}]",
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out: []Result{
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{
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Sample: model.Sample{
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Metric: model.Metric{"service": "zed", "name": "rpc_calls_total"},
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Value: 25,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"service": "bar", "name": "rpc_calls_total"},
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Value: 25,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"service": "foo", "name": "rpc_calls_total"},
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Value: 25,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.010000", "name": "rpc_latency_microseconds", "service": "zed"},
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Value: 0.04598141,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.010000", "name": "rpc_latency_microseconds", "service": "bar"},
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Value: 78.485634,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.010000", "name": "rpc_latency_microseconds", "service": "foo"},
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Value: 15.890724674774395,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.050000", "name": "rpc_latency_microseconds", "service": "zed"},
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Value: 0.04598141,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.050000", "name": "rpc_latency_microseconds", "service": "bar"},
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Value: 78.485634,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.050000", "name": "rpc_latency_microseconds", "service": "foo"},
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Value: 15.890724674774395,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.500000", "name": "rpc_latency_microseconds", "service": "zed"},
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Value: 0.61204565,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.500000", "name": "rpc_latency_microseconds", "service": "bar"},
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Value: 97.317986,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.500000", "name": "rpc_latency_microseconds", "service": "foo"},
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Value: 84.63044,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.900000", "name": "rpc_latency_microseconds", "service": "zed"},
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Value: 1.3559151,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.900000", "name": "rpc_latency_microseconds", "service": "bar"},
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Value: 109.89202,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.900000", "name": "rpc_latency_microseconds", "service": "foo"},
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Value: 160.21101,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.990000", "name": "rpc_latency_microseconds", "service": "zed"},
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Value: 1.7727332,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.990000", "name": "rpc_latency_microseconds", "service": "bar"},
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Value: 109.99626,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.990000", "name": "rpc_latency_microseconds", "service": "foo"},
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Value: 172.49829,
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},
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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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inputChannel := make(chan Result, 1024)
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defer func(c chan Result) {
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close(c)
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}(inputChannel)
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reader := strings.NewReader(scenario.in)
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err := Processor001.Process(ioutil.NopCloser(reader), model.LabelSet{}, inputChannel)
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if !test.ErrorEqual(scenario.err, err) {
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t.Errorf("%d. expected err of %s, got %s", i, scenario.err, err)
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continue
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}
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if scenario.err != nil && err != nil {
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if scenario.err.Error() != err.Error() {
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t.Errorf("%d. expected err of %s, got %s", i, scenario.err, err)
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}
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} else if scenario.err != err {
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t.Errorf("%d. expected err of %s, got %s", i, scenario.err, err)
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}
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delivered := make([]Result, 0)
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for len(inputChannel) != 0 {
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delivered = append(delivered, <-inputChannel)
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}
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if len(delivered) != len(scenario.out) {
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t.Errorf("%d. expected output length of %d, got %d", i, len(scenario.out), len(delivered))
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continue
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}
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expectedElements := list.New()
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for _, j := range scenario.out {
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expectedElements.PushBack(j)
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}
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for j := 0; j < len(delivered); j++ {
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actual := delivered[j]
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found := false
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for element := expectedElements.Front(); element != nil && found == false; element = element.Next() {
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candidate := element.Value.(Result)
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if !test.ErrorEqual(candidate.Err, actual.Err) {
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continue
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}
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if candidate.Sample.Value != actual.Sample.Value {
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continue
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}
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if len(candidate.Sample.Metric) != len(actual.Sample.Metric) {
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continue
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}
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labelsMatch := false
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for key, value := range candidate.Sample.Metric {
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actualValue, ok := actual.Sample.Metric[key]
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if !ok {
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break
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}
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if actualValue == value {
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labelsMatch = true
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break
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}
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}
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if !labelsMatch {
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continue
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}
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// XXX: Test time.
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found = true
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expectedElements.Remove(element)
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}
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if !found {
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t.Errorf("%d.%d. expected to find %s among candidate, absent", i, j, actual.Sample)
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}
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}
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}
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}
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func TestProcessor001Process(t *testing.T) {
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testProcessor001Process(t)
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}
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func BenchmarkProcessor001Process(b *testing.B) {
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for i := 0; i < b.N; i++ {
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testProcessor001Process(b)
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}
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}
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