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ci: fix daily E2E accuracy pipeline - #346
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Signed-off-by: Simone Chen <simonec@nvidia.com>
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🪛 ast-grep (0.45.3)scripts/fetch_accuracy_measurements.py[info] 309-309: use jsonify instead of json.dumps for JSON output (use-jsonify) 🔀 Multi-repo context ai-dynamo/aiconfigurator, ai-dynamo/dynamoLinked repositories findingsai-dynamo/aiconfigurator
ai-dynamo/dynamo
📝 SummaryRisk: High. Three areas need human attention: (1) confirm the configured sudo-enabled image and PostgreSQL 18 client setup work on non-root runners; (2) assess the fail-closed latest-dump resolution and part verification, including the reported size/hash failure; (3) verify the full Changed behavior and contracts
Evidence supplied The reported first dev-branch run passed wheel build, sudo/dependency setup, and exact-wheel installation. It then failed during download after ten verified parts when the next part failed size/hash verification, despite matching upstream metadata. Technical quality and merge readiness No current review findings were supplied, so review severity counts are unavailable. The reported checks and implementation evidence do not establish review approval or merge readiness. WalkthroughThe accuracy workflow resolves the latest published database dump into a validated manifest and passes it to the campaign job. Dump-part downloads retry after I/O, HTTP, and validation errors. The campaign job uses the configured CI container and uploads the full ChangesAccuracy campaign workflow
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: ⚪ Minimal · up to The campaign uses the resolved dump manifest for fetching and evaluation, with no identified handoff issue blocking merge. 🚥 Pre-merge checks | ✅ 5 | ❌ 2 | ❓ 1❌ Failed checks (2 warnings, 1 inconclusive)
✅ Passed checks (5 passed)
Full details: Description checkExplanation The description explains the main changes and provides substantial validation evidence, but it does not follow the required template. It omits the Review map, Modeling or data provenance, and Tracking sections, and does not provide several required evidence fields such as reviewed commits, exact commands, and compatibility concerns. Resolution Add all required template sections. Include risk level, starting points, public contract impact, rollback concerns, exact test commands and results, reviewed commits, boundary cases, numerical assertion derivation, provenance or N/A, and issue or PR tracking. Full details: Cross-Layer ContractExplanation The new Resolution Add a CLI-level test that runs the
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Signed-off-by: Simone Chen <simonec@nvidia.com>
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Actionable comments posted: 1
- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @.github/workflows/e2e-accuracy.yml:
- Around line 37-38: Update the workflow condition in the e2e-accuracy job to
require the complete Full CI matrix and a successful Full CI result for the
exact reviewed commit, using the existing workflow and status-check mechanisms.
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Before making any change under: `python/aisimulate/src/aisimulate/generator/**` MUST read: `python/aisimulate/.claude/rules/generator-development.md` Before making any change under `python/aisimulate/collector/**` MUST read: `python/aisimul...
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📄 CodeRabbit inference engine (REVIEW.md)
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🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfigurator
Linked repositories findings
ai-dynamo/dynamo
- The accuracy recipe produces
accuracy_results.csvunder/model-cache/accuracy/<epoch>_<job-name>/and does not consume the changed GitHub artifact paths.[::ai-dynamo/dynamo::] - Broad searches found no references to
accuracy-public,CI_JOB_CONTAINER_IMAGE, ore2e-accuracyin the repository.[::ai-dynamo/dynamo::]
ai-dynamo/aiconfigurator
- Accuracy and prediction workflows use independent artifact contracts and contain no references to
accuracy-publicorCI_JOB_CONTAINER_IMAGE(.github/workflows/accuracy-regression-testing.yml:145-157,.github/workflows/prediction-regression-gate.yml:119-126,173-178).[::ai-dynamo/aiconfigurator::]
Signed-off-by: Simone Chen <simonec@nvidia.com>
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Signed-off-by: Simone Chen <simonec@nvidia.com>
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/ok to test 82c7ba0 |
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simone-chen
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LGTM. Resolver validation (SHA256SUMS digest, per-part asset digests, extra/missing parts) and per-part retry look correct; tests pass locally. Note for follow-up awareness: nightly measurements now move with each new InferenceX dump, so day-over-day accuracy comparisons reset whenever the dump changes.
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/ok to test ce8701f |
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Changes
apt-getin run 36555891384.db-dump/YYYY-MM-DDonce per pipeline. Verify its checksum file and asset metadata, retain the resolved manifest, and share it across branch campaigns. Reject incomplete latest releases instead of falling back to stale data.Validation
db-dump/2026-09-28, evaluating sourcea4a59dce4fcfce1ec223008831f3328b77b1a3ce. Setup, download/extraction, campaign qualification, and artifact upload all passed. Campaign job took 59m21s; predictor evaluation took 42m23s.