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promqltest: Adjust more tests to "left-open" ranges

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This was an oversight because the old tests still happened to pass
with the new behavior, but important test data was excluded at the
left end of the interval, rendering some tests not actually testing
what we want to test.

In the past, we also applied different strategies to adjust the test
(extend the range from 1m to 2m, or set the evaluation timestamp to
45s). This commit unifies things and reduces redundancy.

Signed-off-by: beorn7 <beorn@grafana.com>
This commit is contained in:
beorn7 2025-05-07 14:52:01 +02:00
parent 7789ef27c8
commit a4d57fce74
1 changed files with 36 additions and 42 deletions
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78
promql/promqltest/testdata/functions.test vendored
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@ -892,90 +892,84 @@ eval instant at 55s avg_over_time(metric[1m])
eval instant at 55s sum_over_time(metric[1m])/count_over_time(metric[1m])
{} 3
eval instant at 1m avg_over_time(metric2[1m])
eval instant at 55s avg_over_time(metric2[1m])
{} Inf
eval instant at 1m sum_over_time(metric2[1m])/count_over_time(metric2[1m])
eval instant at 55s sum_over_time(metric2[1m])/count_over_time(metric2[1m])
{} Inf
eval instant at 1m avg_over_time(metric3[1m])
eval instant at 55s avg_over_time(metric3[1m])
{} -Inf
eval instant at 1m sum_over_time(metric3[1m])/count_over_time(metric3[1m])
eval instant at 55s sum_over_time(metric3[1m])/count_over_time(metric3[1m])
{} -Inf
eval instant at 1m avg_over_time(metric4[1m])
eval instant at 55s avg_over_time(metric4[1m])
{} NaN
eval instant at 1m sum_over_time(metric4[1m])/count_over_time(metric4[1m])
eval instant at 55s sum_over_time(metric4[1m])/count_over_time(metric4[1m])
{} NaN
eval instant at 1m avg_over_time(metric5[1m])
eval instant at 55s avg_over_time(metric5[1m])
{} Inf
eval instant at 1m sum_over_time(metric5[1m])/count_over_time(metric5[1m])
eval instant at 55s sum_over_time(metric5[1m])/count_over_time(metric5[1m])
{} Inf
eval instant at 1m avg_over_time(metric5b[1m])
eval instant at 55s avg_over_time(metric5b[1m])
{} Inf
eval instant at 1m sum_over_time(metric5b[1m])/count_over_time(metric5b[1m])
eval instant at 55s sum_over_time(metric5b[1m])/count_over_time(metric5b[1m])
{} Inf
eval instant at 1m avg_over_time(metric5c[1m])
eval instant at 55s avg_over_time(metric5c[1m])
{} NaN
eval instant at 1m sum_over_time(metric5c[1m])/count_over_time(metric5c[1m])
eval instant at 55s sum_over_time(metric5c[1m])/count_over_time(metric5c[1m])
{} NaN
eval instant at 1m avg_over_time(metric6[1m])
eval instant at 55s avg_over_time(metric6[1m])
{} -Inf
eval instant at 1m sum_over_time(metric6[1m])/count_over_time(metric6[1m])
eval instant at 55s sum_over_time(metric6[1m])/count_over_time(metric6[1m])
{} -Inf
eval instant at 1m avg_over_time(metric6b[1m])
eval instant at 55s avg_over_time(metric6b[1m])
{} -Inf
eval instant at 1m sum_over_time(metric6b[1m])/count_over_time(metric6b[1m])
eval instant at 55s sum_over_time(metric6b[1m])/count_over_time(metric6b[1m])
{} -Inf
eval instant at 1m avg_over_time(metric6c[1m])
eval instant at 55s avg_over_time(metric6c[1m])
{} NaN
eval instant at 1m sum_over_time(metric6c[1m])/count_over_time(metric6c[1m])
eval instant at 55s sum_over_time(metric6c[1m])/count_over_time(metric6c[1m])
{} NaN
eval instant at 1m avg_over_time(metric7[1m])
eval instant at 55s avg_over_time(metric7[1m])
{} NaN
eval instant at 1m sum_over_time(metric7[1m])/count_over_time(metric7[1m])
eval instant at 55s sum_over_time(metric7[1m])/count_over_time(metric7[1m])
{} NaN
eval instant at 1m avg_over_time(metric8[1m])
eval instant at 55s avg_over_time(metric8[1m])
{} 9.988465674311579e+307
# This overflows float64.
eval instant at 1m sum_over_time(metric8[2m])/count_over_time(metric8[2m])
eval instant at 55s sum_over_time(metric8[1m])/count_over_time(metric8[1m])
{} +Inf
eval instant at 1m avg_over_time(metric9[1m])
eval instant at 55s avg_over_time(metric9[1m])
{} -9.988465674311579e+307
# This overflows float64.
eval instant at 1m sum_over_time(metric9[1m])/count_over_time(metric9[1m])
eval instant at 55s sum_over_time(metric9[1m])/count_over_time(metric9[1m])
{} -Inf
eval instant at 45s avg_over_time(metric10[1m])
eval instant at 55s avg_over_time(metric10[1m])
{} 0
eval instant at 1m avg_over_time(metric10[2m])
{} 0
eval instant at 45s sum_over_time(metric10[1m])/count_over_time(metric10[1m])
{} 0
eval instant at 1m sum_over_time(metric10[2m])/count_over_time(metric10[2m])
eval instant at 55s sum_over_time(metric10[1m])/count_over_time(metric10[1m])
{} 0
# NaN behavior.
@ -985,27 +979,27 @@ eval instant at 20s avg_over_time(metric11[1m])
eval instant at 30s avg_over_time(metric11[1m])
{} NaN
eval instant at 1m avg_over_time(metric11[1m])
eval instant at 55s avg_over_time(metric11[1m])
{} NaN
eval instant at 1m sum_over_time(metric11[1m])/count_over_time(metric11[1m])
eval instant at 55s sum_over_time(metric11[1m])/count_over_time(metric11[1m])
{} NaN
# Tests for samples with mix of floats and histograms.
eval_warn instant at 1m sum_over_time(metric12[1m])
eval_warn instant at 55s sum_over_time(metric12[1m])
# no result.
eval_warn instant at 1m avg_over_time(metric12[1m])
eval_warn instant at 55s avg_over_time(metric12[1m])
# no result.
# Tests for samples with only histograms.
eval instant at 1m sum_over_time(metric13[1m])
{} {{schema:0 sum:5 count:5}}
eval instant at 55s sum_over_time(metric13[1m])
{} {{schema:0 sum:6 count:6}}
eval instant at 1m avg_over_time(metric13[1m])
eval instant at 55s avg_over_time(metric13[1m])
{} {{schema:0 sum:1 count:1}}
eval instant at 1m sum_over_time(metric13[1m])/count_over_time(metric13[1m])
eval instant at 55s sum_over_time(metric13[1m])/count_over_time(metric13[1m])
{} {{schema:0 sum:1 count:1}}
# Test if very big intermediate values cause loss of detail.
@ -1053,10 +1047,10 @@ clear
load 10s
metric 1.5990505637277868 1.5990505637277868 1.5990505637277868
eval instant at 1m stdvar_over_time(metric[1m])
eval instant at 55s stdvar_over_time(metric[1m])
{} 0
eval instant at 1m stddev_over_time(metric[1m])
eval instant at 55s stddev_over_time(metric[1m])
{} 0
# Tests for mad_over_time.