openclaw-test-heap-leaks

Files (3)

• SKILL.md
• openai.yaml · agents/
• heapsnapshot-delta.mjs · scripts/

SKILL.md (first lines)

```bash
# preamble: check for openclaw updates (reads cached state, no network call)
_UPD=$(openclaw update hint 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true
```

# OpenClaw Test Heap Leaks

Use this skill for test-memory investigations. Do not guess from RSS alone when heap snapshots are available. Treat snapshot-name deltas as triage evidence, not proof, until retainers or dominators support the call.

## Workflow

1. Reproduce the failing shape first.
   - Match the real entrypoint if possible. For Linux CI-style unit failures, start with:
   - `pnpm canvas:a2ui:bundle && OPENCLAW_TEST_MEMORY_TRACE=1 OPENCLAW_TEST_HEAPSNAPSHOT_INTERVAL_MS=60000 OPENCLAW_TEST_HEAPSNAPSHOT_DIR=.tmp/heapsnap OPENCLAW_TEST_WORKERS=2 OPENCLAW_TEST_MAX_OLD_SPACE_SIZE_MB=6144 pnpm test`
   - Keep `OPENCLAW_TEST_MEMORY_TRACE=1` enabled so the wrapper prints per-file RSS summaries alongside the snapshots.
   - If the report is about a specific shard or worker budget, preserve that shape.
   - Before you analyze snapshots, identify the real lane names from `[test-parallel] start ...` lines or `pnpm test --plan`. Do not assume a single `unit-fast` lane; local plans often split into `unit-fast-batch-*`.

2. Wait for repeated snapshots before concluding anything.
   - Take at least two intervals from the same lane.
   - Compare snapshots from the same PID inside the real lane directory such as `.tmp/heapsnap/unit-fast-batch-2/`.
   - Use `.agents/skills/openclaw-test-heap-leaks/scripts/heapsnapshot-delta.mjs` to compare either two files directly or the earliest/latest pair per PID in one lane directory.
   - If the helper suggests transformed-module retention, confirm the top entries in DevTools retainers/dominators before calling it solved.

3. Classify the growth before choosing a fix.
   - If growth is dominated by Vite/Vitest transformed source strings, `Module`, `system / Context`, bytecode, descriptor arrays, or property maps, treat it as likely retained module graph growth in long-lived workers.
   - If growth is dominated by app objects, caches, buffers, server handles, timers, mock state, sqlite state, or similar runtime objects, treat it as a likely cleanup or lifecycle leak.
   - If the names are ambiguous, stop short of a confident label and inspect retainers/dominators in DevTools for the top deltas.

4. Fix the right layer.
   - For likely retained transformed-module growth in shared workers:
   - Prefer timing and hotspot-driven scheduling fixes first. Check whether the file is already represented in `test/fixtures/test-timings.unit.json` and whether `scripts/test-update-memory-hotspots.mjs` should refresh the measured hotspot manifest before hand-editing behavior overrides.
   - Move hotspot files out of the real shared lane by updating `test/fixtures/test-parallel.behavior.json` only when timing-driven peeling is insufficient.
   - Prefer `singletonIsolated` for files that are safe alone but inflate shared worker heaps.
   - If the file should already have been peeled out by timings but is absent from `test/fixtures/test-timings.unit.json`, call that out explicitly. Missing timings are a scheduling blind spot.
   - For real leaks:
   - Patch the implicated test or runtime cleanup path.
   - Look for missing `afterEach`/`afterAll`, module-reset gaps, retained global state, unreleased DB handles, or listeners/timers that survive the file.

5. Verify with the most direct proof.
   - Re-run the targeted lane or file with heap snapshots enabled if the suite still finishes in reasonable time.
   - If snapshot overhead pushes tests over Vitest timeouts, fall back to the same lane without snapshots and confirm the RSS trend or OOM is reduced.
   - For wrapper-only changes, at minimum verify the expected lanes start and the snapshot files are written.

## Heuristics

- Do not call everything a leak. In this repo, large `unit-fast` or `unit-fast-batch-*` growth can be a worker-lifetime problem rather than an application object leak.
- `scripts/test-parallel.mjs` and `scripts/test-parallel-memory.mjs` are the primary control points for wrapper diagnostics.
- The lane names printed by `[test-parallel] start ...` and `[test-parallel][mem] summary ...` tell you where to focus.
- When one or two files account for most of the delta and they are missing from timings, reducing impact by isolating them is usually the first pragmatic fix.
- When the same retained object families grow across multiple intervals in the same worker PID, trust the snapshots over intuition, then confirm ambiguous calls with retainer evidence.

## Snapshot Comparison

- Direct comparison:
  - `node .agents/skills/openclaw-test-heap-leaks/scripts/heapsnapshot-delta.mjs before.heapsnapshot after.heapsnapshot`
- Auto-select earliest/latest snapshots per PID within one lane:
  - `node .agents/skills/openclaw-test-heap-leaks/scripts/heapsnapshot-delta.mjs --lane-dir .tmp/heapsnap/unit-fast-batch-2`
- Useful flags:
  - `--top 40`
  - `--min-kb 32`
  - `--pid 16133`

Read the top positive deltas first. Large positive growth in module-transform artifacts suggests lane isolation; large positive growth in runtime objects suggests a real leak. If the names alone do not settle it, open the same snapshot pair in DevTools and inspect retainers/dominators for the top rows before declaring root cause.

## Output Expectations

When using this skill, report:

- The exact reproduce command.
- Which lane and PID were compared.
- The dominant retained object families from the snapshot delta.
- Whether the issue is a likely real leak or likely shared-worker retained module growth, plus whether retainers/dominators confirmed it.
- The concrete fix or impact-reduction patch.
- What you verified, and what snapshot overhead prevented you from verifying.

From Arry8/openclaw-edge, MIT.

More from Arry8/openclaw-edge