⚡ Bolt: computeTaskMetrics 루프 최적화 - #637
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Organization UI Review profile: CHILL Plan: Pro Plus Run ID: 📒 Files selected for processing (2)
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Changes반복 처리 성능 개선
Estimated code review effort: 1 (간단) | ~5분 Merge Risk: ⚪ Minimal · up to This PR makes a localized task-metrics loop optimization without introducing an identified correctness, security, availability, or deployment risk. No actionable merge-blocking risk remains after normal checks and review. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 2 functions across 1 files. (1 skipped: 1 unsupported.)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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💡 무엇을
app.js의computeTaskMetrics함수 내부에서 사용되던Array.prototype.reduce,Array.prototype.forEach및Map객체를 표준for루프와Float64Array형식화 배열(Typed Array)로 교체했습니다.🎯 왜
기존 방식은 작업 목록을 순회할 때마다 고차 함수(higher-order function)의 콜백 할당, 가비지 컬렉션(GC) 부하, 그리고
Map객체를 통한 해시 룩업 비용이 발생하여 렌더링 성능에 병목을 유발했습니다. 작업(task)의 개수가 많아질수록 이 오버헤드는 선형적으로 증가합니다. 이를 연속된 메모리 공간을 사용하는Float64Array와 콜백 없는 표준for루프로 전환하여 자바스크립트 엔진의 배열 순회 및 데이터 접근 속도를 극대화하기 위함입니다.📊 예상 효과
reduce,forEach콜백 생성 및 실행에 따른 메모리 할당과 가비지 컬렉션(GC) 압박 제거Map.set및Map.get호출 시 발생하는 해시 룩업(hash-lookup) 비용을 O(1)의 배열 인덱스 접근으로 단축시켜 작업 메트릭 계산 시 CPU 오버헤드 대폭 감소🔬 검증 방법
npm run test:api && npm run test:unit && npm run test:e2e전체 테스트 스위트를 실행하여 회귀 문제나 부작용이 없음을 확인했습니다. (기존 실패 케이스 1건 제외)PR created automatically by Jules for task 10771914860968389568 started by @seonghobae
Summary by CodeRabbit
성능 개선
문서