mirror of
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59 lines
2.1 KiB
Go
59 lines
2.1 KiB
Go
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// 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 metric
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import (
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"github.com/prometheus/prometheus/model"
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"github.com/prometheus/prometheus/utility/test"
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"time"
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)
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func GetFingerprintsForLabelSetUsesAndForLabelMatchingTests(p MetricPersistence, t test.Tester) {
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metrics := []map[string]string{
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{"name": "request_metrics_latency_equal_tallying_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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{"name": "requests_metrics_latency_equal_accumulating_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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{"name": "requests_metrics_latency_logarithmic_accumulating_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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{"name": "requests_metrics_latency_logarithmic_tallying_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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{"name": "targets_healthy_scrape_latency_ms", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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}
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for _, metric := range metrics {
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m := model.Metric{}
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for k, v := range metric {
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m[model.LabelName(k)] = model.LabelValue(v)
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}
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appendSample(p, model.Sample{
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Value: model.SampleValue(0.0),
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Timestamp: time.Now(),
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Metric: m,
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}, t)
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}
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labelSet := model.LabelSet{
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"name": "targets_healthy_scrape_latency_ms",
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"percentile": "0.010000",
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}
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fingerprints, err := p.GetFingerprintsForLabelSet(labelSet)
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if err != nil {
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t.Errorf("could not get labels: %s", err)
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}
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if len(fingerprints) != 1 {
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t.Errorf("did not get a single metric as is expected, got %s", fingerprints)
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}
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}
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