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213 lines
6.4 KiB
213 lines
6.4 KiB
// Copyright 2016 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 v1
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import (
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"math"
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"testing"
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"github.com/prometheus/prometheus/model/exemplar"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/prometheus/promql"
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"github.com/prometheus/prometheus/promql/parser"
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)
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func TestJsonCodec_Encode(t *testing.T) {
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cases := []struct {
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response interface{}
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expected string
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}{
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{
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response: &QueryData{
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ResultType: parser.ValueTypeVector,
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Result: promql.Vector{
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promql.Sample{
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Metric: labels.FromStrings("__name__", "foo"),
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T: 1000,
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F: 1,
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},
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promql.Sample{
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Metric: labels.FromStrings("__name__", "bar"),
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T: 2000,
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F: 2,
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},
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},
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},
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expected: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"foo"},"value":[1,"1"]},{"metric":{"__name__":"bar"},"value":[2,"2"]}]}}`,
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},
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{
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response: &QueryData{
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ResultType: parser.ValueTypeMatrix,
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Result: promql.Matrix{
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promql.Series{
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Metric: labels.FromStrings("__name__", "foo"),
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Floats: []promql.FPoint{{F: 1, T: 1000}},
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},
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promql.Series{
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Metric: labels.FromStrings("__name__", "bar"),
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Floats: []promql.FPoint{{F: 2, T: 2000}},
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},
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},
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},
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expected: `{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"foo"},"values":[[1,"1"]]},{"metric":{"__name__":"bar"},"values":[[2,"2"]]}]}}`,
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},
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{
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response: &QueryData{
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ResultType: parser.ValueTypeMatrix,
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Result: promql.Matrix{
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promql.Series{
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Floats: []promql.FPoint{{F: 1, T: 1000}},
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Metric: labels.FromStrings("__name__", "foo"),
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},
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},
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},
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expected: `{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"foo"},"values":[[1,"1"]]}]}}`,
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},
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{
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response: &QueryData{
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ResultType: parser.ValueTypeMatrix,
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Result: promql.Matrix{
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promql.Series{
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Histograms: []promql.HPoint{{H: &histogram.FloatHistogram{
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Schema: 2,
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ZeroThreshold: 0.001,
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ZeroCount: 12,
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Count: 10,
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Sum: 20,
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PositiveSpans: []histogram.Span{
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{Offset: 3, Length: 2},
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{Offset: 1, Length: 3},
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},
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NegativeSpans: []histogram.Span{
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{Offset: 2, Length: 2},
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},
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PositiveBuckets: []float64{1, 2, 2, 1, 1},
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NegativeBuckets: []float64{2, 1},
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}, T: 1000}},
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Metric: labels.FromStrings("__name__", "foo"),
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},
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},
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},
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expected: `{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"foo"},"histograms":[[1,{"count":"10","sum":"20","buckets":[[1,"-1.6817928305074288","-1.414213562373095","1"],[1,"-1.414213562373095","-1.189207115002721","2"],[3,"-0.001","0.001","12"],[0,"1.414213562373095","1.6817928305074288","1"],[0,"1.6817928305074288","2","2"],[0,"2.378414230005442","2.82842712474619","2"],[0,"2.82842712474619","3.3635856610148576","1"],[0,"3.3635856610148576","4","1"]]}]]}]}}`,
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},
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{
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response: promql.FPoint{F: 0, T: 0},
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expected: `{"status":"success","data":[0,"0"]}`,
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},
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{
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response: promql.FPoint{F: 20, T: 1},
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expected: `{"status":"success","data":[0.001,"20"]}`,
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},
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{
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response: promql.FPoint{F: 20, T: 10},
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expected: `{"status":"success","data":[0.010,"20"]}`,
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},
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{
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response: promql.FPoint{F: 20, T: 100},
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expected: `{"status":"success","data":[0.100,"20"]}`,
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},
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{
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response: promql.FPoint{F: 20, T: 1001},
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expected: `{"status":"success","data":[1.001,"20"]}`,
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},
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{
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response: promql.FPoint{F: 20, T: 1010},
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expected: `{"status":"success","data":[1.010,"20"]}`,
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},
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{
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response: promql.FPoint{F: 20, T: 1100},
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expected: `{"status":"success","data":[1.100,"20"]}`,
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},
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{
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response: promql.FPoint{F: 20, T: 12345678123456555},
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expected: `{"status":"success","data":[12345678123456.555,"20"]}`,
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},
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{
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response: promql.FPoint{F: 20, T: -1},
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expected: `{"status":"success","data":[-0.001,"20"]}`,
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},
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{
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response: promql.FPoint{F: math.NaN(), T: 0},
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expected: `{"status":"success","data":[0,"NaN"]}`,
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},
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{
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response: promql.FPoint{F: math.Inf(1), T: 0},
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expected: `{"status":"success","data":[0,"+Inf"]}`,
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},
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{
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response: promql.FPoint{F: math.Inf(-1), T: 0},
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expected: `{"status":"success","data":[0,"-Inf"]}`,
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},
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{
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response: promql.FPoint{F: 1.2345678e6, T: 0},
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expected: `{"status":"success","data":[0,"1234567.8"]}`,
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},
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{
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response: promql.FPoint{F: 1.2345678e-6, T: 0},
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expected: `{"status":"success","data":[0,"0.0000012345678"]}`,
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},
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{
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response: promql.FPoint{F: 1.2345678e-67, T: 0},
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expected: `{"status":"success","data":[0,"1.2345678e-67"]}`,
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},
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{
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response: []exemplar.QueryResult{
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{
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SeriesLabels: labels.FromStrings("foo", "bar"),
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Exemplars: []exemplar.Exemplar{
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{
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Labels: labels.FromStrings("trace_id", "abc"),
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Value: 100.123,
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Ts: 1234,
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},
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},
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},
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},
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expected: `{"status":"success","data":[{"seriesLabels":{"foo":"bar"},"exemplars":[{"labels":{"trace_id":"abc"},"value":"100.123","timestamp":1.234}]}]}`,
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},
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{
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response: []exemplar.QueryResult{
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{
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SeriesLabels: labels.FromStrings("foo", "bar"),
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Exemplars: []exemplar.Exemplar{
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{
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Labels: labels.FromStrings("trace_id", "abc"),
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Value: math.Inf(1),
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Ts: 1234,
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},
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},
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},
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},
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expected: `{"status":"success","data":[{"seriesLabels":{"foo":"bar"},"exemplars":[{"labels":{"trace_id":"abc"},"value":"+Inf","timestamp":1.234}]}]}`,
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},
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}
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codec := JSONCodec{}
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for _, c := range cases {
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body, err := codec.Encode(&Response{
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Status: statusSuccess,
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Data: c.response,
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})
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if err != nil {
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t.Fatalf("Error encoding response body: %s", err)
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}
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if string(body) != c.expected {
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t.Fatalf("Expected response \n%v\n but got \n%v\n", c.expected, string(body))
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}
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}
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}
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