// 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, }, }, }, }, } for i, scenario := range scenarios { scenario.test(t, i) } }