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app/vmalert: fix flaky ut TestRecordingRule_Exec
The order of stale metrics can't be controlled in recording rule, only use two time series then.
This commit is contained in:
parent
fdd00b8268
commit
db6b612b68
1 changed files with 26 additions and 46 deletions
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@ -30,10 +30,10 @@ func TestRecordingRule_Exec(t *testing.T) {
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}
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tss, err := rule.exec(context.TODO(), ts, 0)
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if err != nil {
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t.Fatalf("unexpected RecordingRule.exec error: %s", err)
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t.Fatalf("fail to test rule %s: unexpected error: %s", rule.Name, err)
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}
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if err := compareTimeSeries(t, tssExpected[i], tss); err != nil {
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t.Fatalf("time series mismatch: %s", err)
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t.Fatalf("fail to test rule %s: time series mismatch on step %d: %s", rule.Name, i, err)
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}
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ts = ts.Add(defaultStep)
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@ -59,7 +59,6 @@ func TestRecordingRule_Exec(t *testing.T) {
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{
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metricWithValueAndLabels(t, 1, "__name__", "foo", "job", "foo"),
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metricWithValueAndLabels(t, 2, "__name__", "bar", "job", "bar"),
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metricWithValueAndLabels(t, 3, "__name__", "baz", "job", "baz"),
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},
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{
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metricWithValueAndLabels(t, 10, "__name__", "foo", "job", "foo"),
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@ -67,7 +66,8 @@ func TestRecordingRule_Exec(t *testing.T) {
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{
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metricWithValueAndLabels(t, 10, "__name__", "foo", "job", "bar"),
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},
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}, [][]prompbmarshal.TimeSeries{{
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}, [][]prompbmarshal.TimeSeries{
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{
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newTimeSeries([]float64{1}, []int64{ts.UnixNano()}, []prompbmarshal.Label{
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{
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Name: "__name__",
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@ -88,16 +88,6 @@ func TestRecordingRule_Exec(t *testing.T) {
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Value: "bar",
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},
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}),
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newTimeSeries([]float64{3}, []int64{ts.UnixNano()}, []prompbmarshal.Label{
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{
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Name: "__name__",
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Value: "foobarbaz",
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},
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{
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Name: "job",
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Value: "baz",
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},
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}),
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},
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{
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newTimeSeries([]float64{10}, []int64{ts.Add(defaultStep).UnixNano()}, []prompbmarshal.Label{
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@ -110,7 +100,7 @@ func TestRecordingRule_Exec(t *testing.T) {
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Value: "foo",
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},
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}),
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// other series are with NaN values
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// stale time series
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newTimeSeries([]float64{decimal.StaleNaN}, []int64{ts.Add(defaultStep).UnixNano()}, []prompbmarshal.Label{
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{
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Name: "__name__",
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@ -121,16 +111,6 @@ func TestRecordingRule_Exec(t *testing.T) {
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Value: "bar",
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},
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}),
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newTimeSeries([]float64{decimal.StaleNaN}, []int64{ts.Add(defaultStep).UnixNano()}, []prompbmarshal.Label{
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{
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Name: "__name__",
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Value: "foobarbaz",
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},
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{
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Name: "job",
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Value: "baz",
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},
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}),
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},
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{
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newTimeSeries([]float64{10}, []int64{ts.Add(2 * defaultStep).UnixNano()}, []prompbmarshal.Label{
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