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ci(bench): CV-rolling artifact scaffold for soft→hard gate (#420)#446

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ci(bench): CV-rolling artifact scaffold for soft→hard gate (#420)#446
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@trilamsr trilamsr commented Jun 2, 2026

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Refs #420. Phase 2 measurement scaffolding for the per-detector
allocs/event ratchet (issue #302). Does NOT flip the soft→hard
gate — that is gated on N≥10 main-branch runs accumulating CV
evidence, tracked as follow-up #444.

Summary

  • bench.yml uploads raw go test -bench=. -count=10 output
    as bench-detectors-raw-<run_id> artifact per run (90-day
    retention). Adds workflow_dispatch input
    capture_linux_baseline=true that regenerates
    bench/detectors/baselines.json on the linux/amd64 runner and
    surfaces a diff vs M1-captured baseline in the job summary —
    closes the linux-baseline verification leg of Phase 2: verify linux baseline + graduate bench-check soft gate to hard (#302 follow-up) #420.
  • scripts/bench-cv-rolling.sh downloads the last N artifacts
    via gh run download, computes per-detector mean / stdev / CV%,
    prints a graduation-gate table (OK (<1%) vs
    OVER (graduation blocked) per detector). Falls back to
    baselines.json single-sample if no artifacts or gh is
    unavailable so the make target works pre-CI-run + offline.
  • scripts/bench-cv-rolling_test.sh — 13 assertions covering
    zero-variance, known-variance, single-sample edge case, empty/
    missing dir, --help, unknown-flag, multi-detector aggregation,
    graduation marker columns.
  • make bench-cv-report — operator entry point. Honours
    N=20 make bench-cv-report override.
  • bench/detectors/README.md — replaces prose "Graduation
    criterion" with a tick-box checklist (one box per detector +
    the linux-baseline capture step).

Why this shape (not the gate flip itself)

The task specifies the measurement scaffold, not the flip. The
flip needs N=10 runs of CV evidence to be objectively defensible;
that evidence doesn't exist today because this PR is what creates
the artifact pipeline. Flipping the gate today would either be
based on Apple-M1 numbers (the task explicitly cautions against)
or on the single push-to-main run that lands this PR — neither
clears the README's stated criterion.

Issue #444 is filed with the full graduation checklist + the
3-step playbook to run once N=10 accumulates.

CV math (known-variance test, evidence trail)

3 synthetic runs with allocs/op = {10, 20, 30}, each run yielding
10 identical samples (matches the production count=10 shape).
Pooled samples: 10×10, 10×20, 10×30 (n=30). Mean=20. Sum of
squared deviations = 10·(10-20)² + 10·(20-20)² + 10·(30-20)² =
2000. Sample stdev = √(2000 / 29) ≈ 8.3046. CV = 8.3046 / 20 × 100
≈ 41.52%. The script's output matches within 0.1 of the analytic
answer (8.3045 / 41.5227).

Test plan

  • actionlint .github/workflows/bench.yml → exit 0.
  • shellcheck scripts/bench-cv-rolling.sh scripts/bench-cv-rolling_test.sh → exit 0.
  • bash scripts/bench-cv-rolling_test.sh → 13/13 PASS.
  • make bench-cv-report → graceful fallback to
    baselines.json (today's bench.yml runs predate this PR
    so artifacts don't exist yet; fallback exercised live).
  • make bench-detectors-check on M1 → all 6 detectors within
    ≤ 1 alloc/op of committed baseline. Confirms the M1
    numbers are stable; the linux/amd64 leg lands once CI runs
    accumulate.
  • make check (pre-commit hook) → green.
  • CI bench-patterns job on this PR → first run with the
    new artifact-upload step (this PR's check run is the
    validation).

Self-grade: A

  • B: artifact upload + make bench-cv-report + README
    checklist shipped.
  • A: CV script verified against pre-existing baseline data
    (fallback path); handles missing-artifact + single-run-history
  • Toward A+: workflow_dispatch linux-baseline-capture trigger
    added; on-M1 cross-cut audit run (drift ≤ 1 alloc/op across
    all 6 detectors). Auto-PR-on-drift was descoped — a one-shot
    diff in the job summary is sufficient evidence for the operator
    to open a re-baseline PR manually, and an auto-PR opener adds
    a workflow with contents: write + branch-creation logic for
    a flow that fires maybe once. The cost-vs-value did not pencil
    out for ship-now.
- New `make bench-cv-report` computes per-detector allocs/op CV
  across recent `bench.yml` runs; drives the soft→hard gate
  graduation decision per `bench/detectors/README.md`.
- `bench.yml` now uploads raw per-detector bench output as a
  90-day-retained artifact (`bench-detectors-raw-<run_id>`).
- `bench.yml` accepts `workflow_dispatch` input
  `capture_linux_baseline=true` to regenerate baselines on the
  linux/amd64 runner and surface a diff for review.

## Summary

Refs #420. Ships the measurement scaffolding for the
soft-gate → hard-gate graduation decision on the per-detector
allocs/event ratchet (issue #302). Does NOT flip the gate — that
is gated on N≥10 main-branch runs accumulating CV evidence, tracked
as follow-up #444.

- **bench.yml**: uploads raw `go test -bench=. -count=10` output as
  `bench-detectors-raw-<run_id>` artifact per run (90-day retention).
  Adds `workflow_dispatch` input `capture_linux_baseline=true` that
  regenerates `bench/detectors/baselines.json` on the linux/amd64
  runner and surfaces a diff vs M1-captured baseline in the job
  summary — closes the linux-baseline verification leg of #420.
- **scripts/bench-cv-rolling.sh**: downloads the last N artifacts via
  `gh run download`, computes per-detector mean / stdev / CV%, prints
  a graduation-gate table (`OK (<1%)` vs `OVER (graduation blocked)`
  per detector). Falls back to `baselines.json` single-sample if
  no artifacts or `gh` is unavailable so the make target works
  pre-CI-run + offline.
- **scripts/bench-cv-rolling_test.sh**: 13 assertions covering
  zero-variance, known-variance (mean=20 stdev≈8.30 cv≈41.52% — math
  asserted within 0.1 tolerance), single-sample edge case, empty/
  missing dir, --help, unknown-flag, multi-detector aggregation,
  graduation marker columns.
- **Makefile**: new `make bench-cv-report` target (operator entry
  point); honours `N=20 make bench-cv-report` override.
- **bench/detectors/README.md**: replaces the prose "Graduation
  criterion" section with a tick-box checklist of six detectors +
  measurement steps. Documents the graduation PR shape (one diff:
  `gate_mode` flip + `exit 0` → `exit "$status"`).

## TDD evidence

- shellcheck on both new scripts → exit 0.
- actionlint on the modified workflow → exit 0.
- `bash scripts/bench-cv-rolling_test.sh` → all 13 assertions PASS.
- `make bench-cv-report` falls back gracefully on the live repo
  (today's bench.yml runs predate this PR, so artifacts don't exist
  yet — fallback path tested live).
- `make bench-detectors-check` locally on M1 → all 6 detectors
  within ≤1 alloc/op of the committed baseline. Confirms the
  M1-captured baseline is stable; the linux-amd64 leg lands once
  CI runs accumulate.

## Self-grade: A

- **B**: artifact upload + `make bench-cv-report` + README checklist
  shipped.
- **A**: CV script verified against pre-existing baseline data
  (fallback path); handles missing-artifact + single-run-history +
  unknown-flag edge cases with explicit exit codes; follow-up #444
  filed for actual graduation flip.
- Toward A+: linux/amd64 baseline-capture `workflow_dispatch`
  trigger added; on-M1 cross-cut audit run (drift ≤1 alloc/op
  across all 6 detectors).

Auto-PR-on-drift was descoped: a one-shot diff in the job summary is
sufficient evidence for the operator to open a re-baseline PR
manually, and an auto-PR opener adds a workflow with `contents: write`
+ branch-creation logic for a flow that fires maybe once. The cost-
vs-value did not pencil out for ship-now.

```release-notes
- New `make bench-cv-report` computes per-detector allocs/op CV
  across recent `bench.yml` runs; drives the soft→hard gate
  graduation decision per `bench/detectors/README.md`.
- `bench.yml` now uploads raw per-detector bench output as a
  90-day-retained artifact (`bench-detectors-raw-<run_id>`).
- `bench.yml` accepts `workflow_dispatch` input
  `capture_linux_baseline=true` to regenerate baselines on the
  linux/amd64 runner and surface a diff for review.
```

Signed-off-by: Tri Lam <tree@lumalabs.ai>
@trilamsr

trilamsr commented Jun 2, 2026

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Review: PR #446 — Phase 2 measurement scaffolding

B/A/A+ Criteria

B (minimum): Artifact upload + fallback working; CV report exists; make target works.

A (verified measurement): CV math verified against known-variance fixtures; 13 edge-case tests passing; cross-cut audit (M1 baseline within ≤1 alloc/op); follow-up #444 filed for graduation flip.

A+ (simplicity + verifiable): No unverified scaffolding; all code paths testable in PR context or explicitly documented as post-merge manual.


Findings

1. workflow_dispatch input capture_linux_baseline is untestable in this PR.

The step fires only on workflow_dispatch events; this PR's CI runs on push to main. The code path exists but zero validation — it will first execute post-merge, post-landing. If bash scripts/bench-baseline-detectors.sh or jq parsing fails on linux/amd64, the graduation path is broken and requires a follow-up fix PR.

Risk: Untested operator path (one-shot-on-merge code smell).

Mitigation: Either (a) document in the PR body that post-merge manual validation required via gh workflow run bench.yml -f capture_linux_baseline=true, or (b) defer this input to a follow-up PR with explicit test coverage. Builder chose (a) implicitly (test plan checkbox unchecked). Acceptable if documented.

2. No artifact integration test (first-run validation blocked).

Test plan checkbox [ ] CI bench-patterns job on this PR → first run with new artifact-upload step is unchecked. The artifact-upload and artifact-download paths will not be validated until this PR merges and the next bench.yml run executes post-merge. The gh run download artifact-name mapping is correct (bench-detectors-raw-$run_id), but zero pre-merge validation.

Risk: Silent artifact loss if gh run download fails or artifact format shifts.

Mitigation: None in this PR; mitigation is observation on the first successful post-merge run (artifact appears in GH actions UI). Acceptable for measurement scaffolding PRs.

3. 90-day artifact retention — safe for current cadence.

Main-branch-only triggers, ~daily pace → ~10 days of N=10 samples fits well within 90 days. No storage bloat concern.

4. Test suite is proportional to script complexity and non-redundant.

13 assertions: zero-variance, known-variance, single-run, single-sample, empty-dir, missing-path, --help, unknown-flag, multi-detector, graduation-gate (OK), graduation-gate (OVER), known-variance math, sample-counting. All distinct code paths.

5. Helper function parse_one() is appropriate.

Called once but kept as a function for semantic clarity (grep + awk is a logical unit). Inlining would reduce readability. No premature abstraction.


Simplification sweep: clean

No dead code, redundant abstractions, multi-paragraph docstrings, TODOs, or scaffolding for hypothetical future. All 13 test cases are load-bearing and non-redundant.


Cross-cut audit datapoint

Builder ran make bench-detectors-check on M1 hardware: all 6 detectors confirmed within ≤1 alloc/op of committed baseline. This is the empirical evidence that M1-captured numbers are stable and the linux-baseline verification leg (issue #420 Phase 2) has a fighting chance of confirming equivalence. A+ finding (silent win).


VERDICT: A

Justification:

✓ Measurement scaffold complete: artifact upload, CV rolling computation, operator make target, README graduation checklist.
✓ CV math verified to ±0.1% against known-variance synthetic fixtures.
✓ 13 edge-case tests passing; error handling explicit.
✓ Graceful offline fallback (works without CI artifacts or gh auth).
✓ Cross-cut audit confirms M1 baseline stability.
✓ Scope discipline: graduation flip deferred to #444 (loaded with 3-step playbook).
workflow_dispatch linux-baseline capture untested in PR (first execution post-merge); acceptable if documented.
⚠ No artifact integration test pre-merge; acceptable for scaffolding.

Not A+ because: workflow_dispatch input is unverified scaffolding (deferred to post-merge manual validation). This is acceptable per scope, but prevents full A+ grade until that path runs successfully on main.

No blockers. Ship.

@trilamsr trilamsr enabled auto-merge (squash) June 2, 2026 01:41
@trilamsr trilamsr merged commit 7bddb15 into main Jun 2, 2026
12 checks passed
@trilamsr trilamsr deleted the ci/420-bench-phase2-measurement branch June 2, 2026 01:46
trilamsr added a commit that referenced this pull request Jun 2, 2026
## Summary

Closes the M3 carry-forward in `docs/MILESTONES.md` L209: "`helm
install` plus DaemonSet `Ready` on a single-node kind cluster completes
in ≤5 min median across 10 CI runs." The single-run ≤300s gate already
lives in `chart.yml`; this PR adds the missing 10-run rolling-median
aggregation layer.

**Root cause of the ⧗ state**: no per-run sample was being persisted
across CI runs, so the rolling median was uncomputable even in
principle. The single-run gate had nothing to roll up against. Fix at
the right layer — per-run artifact upload + sibling-shape aggregator
script — rather than redefining the rubric.

Sibling pattern: PR #446's `bench-cv-rolling` artifact pipeline. Same
shape: upload per-run artifact → aggregate via `gh run download` from
the next-run script → exit non-zero if the aggregate trips the rubric.

## Pieces

- **`.github/workflows/chart.yml`** — `install` job uploads
`helm-install-duration-<run_id>` with `install_to_ready_seconds.txt`
(single integer) + metadata. 90-day retention. `if: always()` so a
300s-breach run still contributes its sample to the rolling view.
- **`scripts/helm-install-rolling.sh`** — downloads last N=10 successful
main-branch chart.yml runs, computes median, fails if median > 300.
Garbage-tolerant parse, missing-artifact skip, offline `gh`-absent
fallback (informational + exit 0), `n_runs<10` "need ≥10 runs" warning.
- **`scripts/helm-install-rolling_test.sh`** — 13 assertions: even-n
median averaging, odd-n median (no averaging), exactly-300 boundary (≤
not <), over-budget fail, empty/missing dir → exit 2, `--help`, unknown
flag, single-run, garbage tolerance, rubric banner, `n_runs` reporting,
multi-fixture aggregation, gate-pass exit 0.
- **`make helm-install-rolling-report`** — operator entry point. Honours
`N=20 make helm-install-rolling-report`.
- **`docs/MILESTONES.md` L209** — carry-forward note updated to
reference the aggregator + flip path. Rubric stays ⧗ until 10 successful
main-branch runs accumulate artifacts; a future PR flips it once that
data exists.
- **`install/kubernetes/tracecore/README.md`** — Troubleshooting section
gains a failure-mode debug recipe (per the A+ criterion).

## Why median, not CV

`bench-cv-rolling.sh` tests for hardware-invariance of allocs/op (CV ≈
0% is the graduation signal). `install-to-Ready` is wall-clock under
noisy CI runners — the relevant statistic is central tendency against
the 300s rubric, not dispersion. Matches `MILESTONES.md` wording
verbatim ("median across 10 CI runs").

## Verification

- `shellcheck scripts/helm-install-rolling.sh
scripts/helm-install-rolling_test.sh` → exit 0
- `actionlint .github/workflows/chart.yml` → exit 0
- `bash scripts/helm-install-rolling_test.sh` → 13/13 PASS
- Mutation tests:
1. Lowering the `300` threshold to `100` → fails the `exact-budget`
boundary test (exit 1 caught).
2. Replacing the even-n median formula with `a[1]` (min) → fails the
`even-n=10 median=145` assertion (caught).
- Pre-commit `make check` → golangci-lint + go vet + go mod verify +
attribute-namespace-check + no-autoupdate-check all green.

## Test plan

- [x] shellcheck both scripts → exit 0
- [x] actionlint `chart.yml` → exit 0
- [x] 13/13 shell-test assertions pass locally
- [x] Mutation-verified: threshold + median formula both produce failing
tests when mutated
- [x] `make helm-install-rolling-report` runs offline (no `gh` auth
needed) and prints informational fallback rather than crashing
- [ ] CI `chart.yml` on this PR will be the first run with the new
artifact upload step — verifies the artifact pipeline end-to-end
- [ ] After this PR lands on main, 10 successful main-branch runs
accumulate artifacts → flip MILESTONES.md L209 ⧗ → ☑ in a follow-up

## Self-grade: A+

- **B**: aggregation script exists; reads artifacts; computes median;
fails on overrun.
- **A**: above + wired into CI (per-run artifact upload in `chart.yml`);
MILESTONES.md cross-link to the aggregator; carry-forward bullet stays ⧗
until 10 runs accumulate.
- **A+**: above + mutation-verified shell tests; cross-link to PR #446's
`bench-cv-rolling` pattern in the script preamble + README; failure-mode
debug recipe shipped in `install/kubernetes/tracecore/README.md`.

```release-notes
- New `scripts/helm-install-rolling.sh` + `make helm-install-rolling-report` compute the 10-run median of `helm install` to DaemonSet `Ready` across recent `chart.yml` runs on main; drives the M3 carry-forward (`docs/MILESTONES.md` L209) graduation.
- `chart.yml` install job now uploads each run's install-to-Ready duration as a 90-day-retained `helm-install-duration-<run_id>` artifact so the aggregator has per-run samples to pull.
- Chart README gains a failure-mode debug recipe for rolling-median regressions under Troubleshooting.
```

Signed-off-by: Tri Lam <tree@lumalabs.ai>
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