mirror of
https://github.com/azaion/missions.git
synced 2026-06-21 15:31:07 +00:00
Oleksandr Bezdieniezhnykh
001e80fe96
Batch 4 of test implementation cycle 1 (existing-code Step 6, final batch).
- AZ-585 SteadyStateLoadTests + ColdStartRssTests: NFT-RES-LIM-01..04.
SteadyStateLoadFixture runs one 5-min sustained-load window and samples
RSS (docker stats), Npgsql conns (pg_stat_activity), and FDs
(/proc/1/fd) every 5s; three test methods assert independently. All
SkippableFact-gated on docker primitives.
- AZ-586 PerformanceTests: NFT-PERF-01..04. Sequential single-client,
5 warm-ups + N measured calls, P50+P95 via LatencyPercentiles, recorded
to PERF_RESULTS_FILE. Tagged Category=Perf so default gate excludes them.
Infrastructure:
- entrypoint.sh now applies --filter "${TEST_FILTER:-Category!=Perf}"
per AZ-586 (default CI gate excludes performance).
- MetricCsvRecorder: idempotent CSV appender keyed on env var, used by
both Perf and ResLim categories.
Step 6 (Implement Tests) is complete. Final report at
_docs/03_implementation/implementation_report_tests.md handoffs the
full-suite gate to test-run/SKILL.md (Step 7).
Co-authored-by: Cursor <cursoragent@cursor.com>
39 lines
1.6 KiB
C#
39 lines
1.6 KiB
C#
namespace Azaion.Missions.E2E.Helpers;
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/// <summary>
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/// Median + percentile helper for the NFT-PERF-* and NFT-RES-LIM-01
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/// scenarios. Inputs are wall-clock latency samples (or RSS samples)
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/// in any orderable numeric type; the helper sorts a defensive copy
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/// and uses the "nearest-rank" definition of percentile (matching the
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/// percentile defaults used in `docker stats` and most CI dashboards).
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/// </summary>
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public static class LatencyPercentiles
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{
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public static double P50(IReadOnlyList<double> samples) => Percentile(samples, 50);
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public static double P95(IReadOnlyList<double> samples) => Percentile(samples, 95);
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public static double Percentile(IReadOnlyList<double> samples, int percentile)
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{
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if (samples.Count == 0)
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throw new ArgumentException("samples must contain at least one value", nameof(samples));
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if (percentile < 0 || percentile > 100)
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throw new ArgumentOutOfRangeException(nameof(percentile), "percentile must be in [0, 100]");
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var sorted = samples.ToArray();
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Array.Sort(sorted);
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// Nearest-rank: rank = ceil(p/100 * N); index = rank - 1.
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var rank = (int)Math.Ceiling(percentile / 100.0 * sorted.Length);
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if (rank < 1) rank = 1;
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if (rank > sorted.Length) rank = sorted.Length;
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return sorted[rank - 1];
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}
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public static double Mean(IReadOnlyList<double> samples)
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{
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if (samples.Count == 0)
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throw new ArgumentException("samples must contain at least one value", nameof(samples));
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return samples.Average();
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}
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}
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