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chore: retire empty string-matching performance proposal - #1376
seonghobae wants to merge 2 commits into
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…ion 제거) `scanner/cli/appguardrail.py` 내 `_is_sensitive_rule`와 `_finding_category` 함수에서 사용되던 `any()` + generator expression을 명시적인 `or` 체인으로 변경하여 성능을 최적화하고 데드 코드인 `_SENSITIVE_RULE_TOKENS` 상수를 제거함.
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Exact-head lifecycle correction — 2026-10-03
The PR is preserved as Draft / Proposed pending a measured, single-authority repair and fresh exact-head evidence. No rerun, bypass, merge, release, or Close is performed. |
Understood. Acknowledging that this work is now obsolete and stopping work on this task. The PR is preserved as Draft / Proposed pending a measured, single-authority repair and fresh exact-head evidence. |
Verified empty-delta retirement
The performance implementation has already been completely removed through ordinary ancestry. No source, test, documentation, dependency, or requirement delta remains to integrate or carry into a successor. The generated body still describes a nonexistent optimization and cannot serve as product evidence. This retirement uses the explicit no-valid-delta exception. It does not discard a blocked, Proposed, or evidence-preserved change, and it does not claim that the zero-step failed workflows passed. No Force Push, destructive rebase, merge, or gate bypass was used. |
Acknowledged. Stopping work as the implementation has been completely removed through ancestry and the PR is being retired. |
Retired: verified empty delta
Exact head
fb8498d79ea9e560b0286324e21d6f1c136beb06is an ordinary descendant of protecteddevelop@2949d30718752ea5915c7713ba227e8c19d9e5bfwith zero changed files. The original performance proposal below is retained only as provenance and is not current repository behavior or evidence.Original proposal (historical)
💡 What
scanner/cli/appguardrail.py내의_is_sensitive_rule와_finding_category함수에서 사용되던any()+ generator expression 형태의 문자열 포함 여부 검사를 명시적인or체인으로 변경했습니다. 또한, 데드 코드가 되는_SENSITIVE_RULE_TOKENS상수를 제거했습니다.🎯 Why
Python에서
any()와 generator expression을 함께 사용하면 루프가 반복될 때마다 generator 객체가 생성되고 함수 호출 오버헤드가 발생하여 성능 저하를 일으킵니다. 특히 파일 스캐닝과 같은 핫루프(hot loop) 내에서는 이러한 오버헤드가 누적되어 전체적인 성능에 부정적인 영향을 미칩니다. 명시적인or체인을 사용하면 C 레벨에서 최적화된 short-circuit 평가를 통해 성능을 크게 향상시킬 수 있습니다.📊 Impact
벤치마크 테스트 결과, 기존
any()기반 검사(약 0.15초/10만회)에 비해or체인 방식(약 0.02~0.06초/10만회)이 최대 6배 이상 빠른 성능을 보여줍니다. 이는 스캐닝 과정에서의 문자열 매칭 처리 속도를 크게 개선합니다.🔬 Measurement
변경 전후의 성능을 아래와 같이 테스트하여 검증했습니다.
테스트 코드 실행 시
or체인이 월등히 빠른 실행 속도를 나타냅니다.PR created automatically by Jules for task 18077581661571363876 started by @seonghobae