[CRCR] Add CRCR results to main HUD grid with monsterization#8285
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Integrates CRCR downstream CI results (L2/L3) into the main HUD commit grid as native columns. CRCR jobs appear under a "CRCR" group alongside existing groups (Linux, Windows, etc.) and support all existing HUD features: grouped view, hide-green, hide-always-skipped, job filter, tooltips, and monsterization. The approach mirrors the AI advisor verdicts pattern — a parallel ClickHouse query fetches CRCR results by SHA, maps them into JobData, and merges them into each row's nameToJobs before grouping runs. This means zero new UI components; existing JobCell, HudGroupedCell, and JobConclusion handle rendering and monsterization automatically. For monsterization, failed CRCR jobs use failed_tests_json (when available) or a synthetic string (downstream_repo/job_name) as the failure line hash input, giving each unique failure type its own monster sprite. Authored with an AI assistant.
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Summary
Integrates CRCR downstream CI results into the main HUD commit grid (
hud.pytorch.org) as native columns with full monsterization support.pytorch/pytorch— no impact on other reposMockup
Main HUD grid mockup with CRCR columns
Approach
Mirrors the AI advisor verdicts pattern:
crcr_hud_results) fetches CRCR results by commit SHAuseClickHouseAPIImmutable(no changes tofetchHud)JobDataand merges into each row'snameToJobsbefore groupingJobCell,HudGroupedCell, andJobConclusionhandle everythingLevel-based filtering
Column names include the CRCR level — e.g.
CRCR pytorch/crcr-test / l1-critical (L3). This integrates with the existing "Hide non-viable-strict jobs" filter:L4 CRCR jobs are registered as viable/strict blocking via the
(L4)pattern inVIABLE_STRICT_BLOCKING_JOBS.Monsterization
Failed CRCR jobs produce monster sprites by hashing:
failed_tests_jsoncontent (when available from downstream test reports)downstream_repo/job_name(fallback — gives each unique CRCR failure type its own monster)Files changed
clickhouse_queries/crcr_hud_results/lib/JobClassifierUtil.ts(L4)as viable/strict blockingpages/hud/.../[[...page]].tsxTest plan
hud.pytorch.org/hud/pytorch/pytorch/main