client_golang/extraction/metricfamilyprocessor_test.go

154 lines
5.1 KiB
Go

// Copyright 2013 Prometheus Team
// 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 extraction
import (
"sort"
"strings"
"testing"
"github.com/prometheus/client_golang/model"
)
var testTime = model.Now()
type metricFamilyProcessorScenario struct {
in string
expected, actual []model.Samples
}
func (s *metricFamilyProcessorScenario) Ingest(samples model.Samples) error {
s.actual = append(s.actual, samples)
return nil
}
func (s *metricFamilyProcessorScenario) test(t *testing.T, set int) {
i := strings.NewReader(s.in)
o := &ProcessOptions{
Timestamp: testTime,
}
err := MetricFamilyProcessor.ProcessSingle(i, s, o)
if err != nil {
t.Fatalf("%d. got error: %s", set, err)
}
if len(s.expected) != len(s.actual) {
t.Fatalf("%d. expected length %d, got %d", set, len(s.expected), len(s.actual))
}
for i, expected := range s.expected {
sort.Sort(s.actual[i])
sort.Sort(expected)
if !expected.Equal(s.actual[i]) {
t.Errorf("%d.%d. expected %s, got %s", set, i, expected, s.actual[i])
}
}
}
func TestMetricFamilyProcessor(t *testing.T) {
scenarios := []metricFamilyProcessorScenario{
{
in: "",
},
{
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@",
expected: []model.Samples{
model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "some_label_name": "some_label_value"},
Value: -42,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "another_label_name": "another_label_value"},
Value: 84,
Timestamp: testTime,
},
},
},
},
{
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$@",
expected: []model.Samples{
model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "some_label_name": "some_label_value", "quantile": "0.99"},
Value: -42,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "some_label_name": "some_label_value", "quantile": "0.999"},
Value: -84,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "another_label_name": "another_label_value", "quantile": "0.5"},
Value: 10,
Timestamp: testTime,
},
},
},
},
{
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",
expected: []model.Samples{
model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_duration_microseconds_bucket", "le": "100"},
Value: 123,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_duration_microseconds_bucket", "le": "120"},
Value: 412,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_duration_microseconds_bucket", "le": "144"},
Value: 592,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_duration_microseconds_bucket", "le": "172.8"},
Value: 1524,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_duration_microseconds_bucket", "le": "+Inf"},
Value: 2693,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_duration_microseconds_sum"},
Value: 1756047.3,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_duration_microseconds_count"},
Value: 2693,
Timestamp: testTime,
},
},
},
},
}
for i, scenario := range scenarios {
scenario.test(t, i)
}
}