Files
rippled/docker/telemetry/workload/baselines
Pratik Mankawde 577d1f8a21 fix: address review findings in regression gate
- capture_timings.py: fail when captured/total ratio < 50%
  (--min-capture-ratio). Prevents silent pass on unreachable Prometheus.
- run-full-validation.sh: set REGRESSION_EXIT=2 on capture failure so
  the final exit code reflects it. Update exit code docs in header.
- compare_to_baseline.py: extract _skip_delta helper to bring
  compute_delta under 80 lines. Fix 0.0-as-falsy bug in abs_bound
  resolution (use explicit None check instead of `or`). Remove dead
  variable override_prefix_key.
- prom_queries.py: extract _build_simple_entries and _build_job_entries
  to bring build_query_plan under 80 lines. Fix module docstring return
  type example. Use aiohttp.ClientTimeout instead of bare int.
- telemetry-validation.yml: add set -euo pipefail to regression summary
  step; guard jq calls with -e flag and fallback; fail on missing
  baseline file; emit ::warning annotation when timings.json missing.
- baselines/README.md: document the placeholder field.
2026-04-24 19:36:15 +01:00
..

Performance Baselines

This directory holds the committed baseline file used by the OTel-driven regression gate.

How the gate works

After the validation suite runs, capture_timings.py queries Prometheus for the timings declared in ../regression-metrics.json and writes a timings.json. Then compare_to_baseline.py reads baseline-timings.json, ../regression-thresholds.json, and the captured timings.json. The comparator picks one of two modes automatically:

  • Placeholder baseline ("placeholder": true or empty metrics): the comparator prints the captured timings JSON in exactly the format expected for this file, then exits 0 without gating. This is how we bootstrap the baseline.
  • Populated baseline: the comparator diffs per-metric, enforces the thresholds (regression = current exceeds baseline on BOTH the percentage AND absolute bound), and exits non-zero on any regression.

The regression gate runs against whatever workload profile run-full-validation.sh was invoked with. Capture and comparison are profile-agnostic — they only read Prometheus — so all existing profiles (full-validation, quick-smoke, stress) continue to work unchanged.

Bootstrapping the baseline

  1. Merge a CI run with a "placeholder": true baseline. The telemetry-validation workflow runs, fails no gate, and prints the captured timings block to the workflow Step Summary under the heading ### Paste into baselines/baseline-timings.json.
  2. Open a new PR. Copy the full JSON block from the Step Summary (or download the timings.json artifact) into this file, replacing the placeholder contents. The JSON is emitted in the exact byte-for-byte format this file expects — sorted keys, 2-space indent, trailing newline.
  3. The committed baseline PR needs reviewer approval just like any other code change. This is the primary audit point for "who moved the performance bar."

Refreshing the baseline

Refresh when a legitimate performance change lands on develop (for example, a deliberate rewrite that changes a span's structure). The process is identical to bootstrapping: run CI with the current baseline, inspect the delta, and if the new numbers should become the norm, open a PR pasting the fresh timings into baseline-timings.json. The reviewer decides whether the new baseline is acceptable.

Do not edit baseline-timings.json by hand outside of this process — every entry should trace back to a real CI run so variance characteristics are preserved.

Schema

{
  "schema_version": 1,
  "captured_at": "2026-04-24T17:30:00Z",
  "window": "3m",
  "git_sha": "<SHA of the commit that produced these numbers>",
  "profile": "<workload profile used>",
  "metrics": {
    "span.tx.process.p99": { "value": 12.4, "unit": "ms" },
    "rpc.server_info.p95": { "value": 850.0, "unit": "us" },
    "job.transaction.queued.p95": { "value": 1500.0, "unit": "us" }
  }
}

Placeholder baselines additionally include "placeholder": true. The comparator detects this field (or an empty metrics object) to switch into "populate" mode instead of enforcing thresholds. Remove the placeholder key when pasting real captured timings.

Missing metrics (value null) in a captured run do not count as regressions — they are reported separately in regression-report.json under missing_in_current. This keeps the gate robust when a profile doesn't exercise every span on every run.