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75 lines
6 KiB
Markdown
75 lines
6 KiB
Markdown
---
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name: openclaw-test-heap-leaks
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description: Investigate `pnpm test` memory growth, Vitest worker OOMs, and suspicious RSS increases in OpenClaw using the `scripts/test-parallel.mjs` heap snapshot tooling. Use when Codex needs to reproduce test-lane memory growth, collect repeated `.heapsnapshot` files, compare snapshots from the same worker PID, triage likely transformed-module retention versus likely runtime leaks, and fix or reduce the impact by patching cleanup logic or isolating hotspot tests.
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---
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# OpenClaw Test Heap Leaks
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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.
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## Workflow
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1. Reproduce the failing shape first.
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- Match the real entrypoint if possible. For Linux CI-style unit failures, start with:
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- `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`
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- Keep `OPENCLAW_TEST_MEMORY_TRACE=1` enabled so the wrapper prints per-file RSS summaries alongside the snapshots.
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- If the report is about a specific shard or worker budget, preserve that shape.
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- 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-*`.
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2. Wait for repeated snapshots before concluding anything.
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- Take at least two intervals from the same lane.
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- Compare snapshots from the same PID inside the real lane directory such as `.tmp/heapsnap/unit-fast-batch-2/`.
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- 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.
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- If the helper suggests transformed-module retention, confirm the top entries in DevTools retainers/dominators before calling it solved.
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3. Classify the growth before choosing a fix.
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- 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.
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- 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.
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- If the names are ambiguous, stop short of a confident label and inspect retainers/dominators in DevTools for the top deltas.
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4. Fix the right layer.
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- For likely retained transformed-module growth in shared workers:
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- 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.
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- Move hotspot files out of the real shared lane by updating `test/fixtures/test-parallel.behavior.json` only when timing-driven peeling is insufficient.
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- Prefer `singletonIsolated` for files that are safe alone but inflate shared worker heaps.
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- 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.
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- For real leaks:
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- Patch the implicated test or runtime cleanup path.
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- Look for missing `afterEach`/`afterAll`, module-reset gaps, retained global state, unreleased DB handles, or listeners/timers that survive the file.
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5. Verify with the most direct proof.
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- Re-run the targeted lane or file with heap snapshots enabled if the suite still finishes in reasonable time.
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- 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.
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- For wrapper-only changes, at minimum verify the expected lanes start and the snapshot files are written.
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## Heuristics
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- 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.
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- `scripts/test-parallel.mjs` and `scripts/test-parallel-memory.mjs` are the primary control points for wrapper diagnostics.
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- The lane names printed by `[test-parallel] start ...` and `[test-parallel][mem] summary ...` tell you where to focus.
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- 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.
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- 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.
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## Snapshot Comparison
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- Direct comparison:
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- `node .agents/skills/openclaw-test-heap-leaks/scripts/heapsnapshot-delta.mjs before.heapsnapshot after.heapsnapshot`
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- Auto-select earliest/latest snapshots per PID within one lane:
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- `node .agents/skills/openclaw-test-heap-leaks/scripts/heapsnapshot-delta.mjs --lane-dir .tmp/heapsnap/unit-fast-batch-2`
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- Useful flags:
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- `--top 40`
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- `--min-kb 32`
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- `--pid 16133`
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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.
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## Output Expectations
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When using this skill, report:
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- The exact reproduce command.
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- Which lane and PID were compared.
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- The dominant retained object families from the snapshot delta.
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- Whether the issue is a likely real leak or likely shared-worker retained module growth, plus whether retainers/dominators confirmed it.
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- The concrete fix or impact-reduction patch.
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- What you verified, and what snapshot overhead prevented you from verifying.
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