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Quick mode has rules only for c/cpp, groovy, java, javascript/typescript and python, so every PHP case's "0 alerts" read as clean. The `alerts` task now records per language of the files read whether quick mode covers it (derived from the bundled ruleset, not a list): coverage quick | none, with file counts per pin, and `uncovered`. `remember` turns that into `coverage` memory rows (a new kind; the Run passes the alerts summary.json as input), loop-measure reports coverage per language, and improve/memory.py's M1/M2 skip a repository+pin whose coverage for the rule's language is only `none` (counted under `coverage_none` in the proposal's excluded). `ousast plane alerts-engine <Run.yaml> --source <frozen export>` (plane/engine_alerts.py) does the alerts task on the host for cases whose files include a language the engine covers but quick mode does not (PHP): exports both pins from the case cache, runs the quick scan and the openultrasast:dev engine container (finding_dump.py, --network none, --memory 3g, one at a time, per-pin deadline), writes engine findings in the alerts.jsonl row shape (rule_id engine:<family>, source engine, in_fix_range from case.json) with a summary (files read, questions, completed, seconds, degradations per pin), and marks the task done via reconciler.mark_done. No result, no files read, or questions == 0 fails loudly and leaves the run untouched. Refuses a git checkout as source. Runner image rebuilt and re-pinned (sha256:ebb40a9a...); validation-46 regenerated (digest only). Live, recorded in benchmarks/measurements/2026-09-30-php-engine-alerts/: froxlor 366 files, 130/130 questions per pin, 6 alerts per pin, 0 in the fix range; wp-gopay 19 files, 101/101 questions, 0 alerts. The loop: 32 run rows (coverage 8, php=engine), 0 proposals, gate no_proposals, $0. Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
19 lines
664 B
YAML
19 lines
664 B
YAML
# loop (harnessx-removal Req 6.3, design section 6): the improvement loop's singletons -- the generator appends the
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# step (snapshot, measure, propose, improve) to the command. No model, budget {usd: 0, calls: 0}; improve replays the
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# benchmark gate unchanged and delivers its verdict as gate.json. The image is digest-pinned.
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apiVersion: ax.io/v1alpha1
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kind: Task
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metadata:
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name: loop
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atespace: default
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spec:
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image: "localhost:5001/ousast-runner@sha256:ebb40a9a0985bb0665a74cbaf3db5ab0c31efda369a5f5366c51f7c12fad68c8"
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command: ["loop"]
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resources:
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requests:
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cpu: "250m"
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memory: "512Mi"
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limits:
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cpu: "1"
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memory: "1280Mi"
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