⚡ Bolt: 작업 지표 집계 성능 개선 (Float64Array 및 For Loop 활용) - #643
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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)
Included review availability: Your plan provides up to 1 included review per hour; 0 remain after this review. 📝 WalkthroughWalkthrough
Changes메트릭 집계 성능 개선
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to This localized change replaces metric aggregation internals with typed-array caching and standard loops without changing the reported results; 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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| const durationCache = new Float64Array(state.tasks.length); | ||
| let totalDays = 0; | ||
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| for (let i = 0; i < state.tasks.length; i++) { | ||
| const task = state.tasks[i]; | ||
| const duration = calculateDurationDays(task.plannedStartDate, task.plannedEndDate); | ||
| durationCache.set(task.id, duration); | ||
| return sum + duration; | ||
| }, 0); | ||
| durationCache[i] = duration; | ||
| totalDays += duration; | ||
| } | ||
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| const baseDate = state.baseDate; | ||
| const byTask = new Map(); | ||
| let totalWeightedPlannedRatio = 0; | ||
| let totalWeightedActualRatio = 0; | ||
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| state.tasks.forEach((task) => { | ||
| const durationDays = durationCache.get(task.id); | ||
| for (let i = 0; i < state.tasks.length; i++) { | ||
| const task = state.tasks[i]; | ||
| const durationDays = durationCache[i]; |
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📝 Info: Index cache remains aligned
Both loops synchronously traverse unchanged state.tasks order. calculateDurationDays cannot mutate it, so each cached duration remains paired with its task.
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Noema LLM review
The PR optimizes the computeTaskMetrics function by replacing high-overhead functional array methods (reduce, forEach) and a Map cache with a standard for loop and a Float64Array. This reduces garbage collection pressure and lookup overhead in a hot path. The logic remains behaviorally identical as the durationCache is indexed by the same loop counter used to traverse state.tasks.
Reviewed changed lines
.jules/bolt.md:7 (RIGHT): Correctly documents the performance learning regarding typed arrays and for-loops for O(N) primitive storage.app.js:1375 (RIGHT): Replaced Map with Float64Array. Since the array size is based on state.tasks.length and accessed via index, this is a safe and efficient replacement for the previous ID-based Map.app.js:1382 (RIGHT): Replaced .reduce() with a for-loop, eliminating callback overhead.app.js:1391 (RIGHT): Replaced .forEach() with a for-loop, ensuring consistent indexing with the durationCache.
Adversarial validation
app.js:1391 (RIGHT)falsified: If state.tasks is mutated between the first and second loop, durationCache[i] will point to the wrong task's duration. — The function computeTaskMetrics is synchronous. No await keywords or asynchronous callbacks are present between the two loops.app.js:1375 (RIGHT)falsified: Float64Array might cause precision issues or overflow compared to a standard Map/Number. — JavaScript numbers are IEEE 754 double precision (64-bit). Float64Array uses the exact same representation.- Residual risk: None. The operation is purely computational and does not involve asynchronous state changes or external inputs that could invalidate the index alignment.
Findings
- No blocking findings.
- Result: APPROVE
- Head SHA:
47367adce13ef529bbdec7ea3b2e6d15b39d5cde - Reviewer credential:
noema-review-github-app-refresh - Actor:
cwl-noema-review[bot]
seonghobae
added
enhancement
ChatGPT Codex Connector
1 participant
💡 무엇을
computeTaskMetrics함수 내에서 사용하던Map캐시와 고차 배열 메서드(reduce,forEach)를Float64Array와 표준for루프로 대체했습니다.Float64Array에 캐싱하였습니다.🎯 왜
Map을 사용할 때 발생하는 해시 탐색 오버헤드와, 배열 메서드를 사용할 때 발생하는 콜백 할당 및 가비지 컬렉션(GC) 비용을 제거하기 위함입니다.📊 예상 효과
Float64Array와for루프 활용으로 V8 엔진 등의 최적화 효과를 높일 수 있습니다.🔬 검증 방법
npm run test:api,npm run test:unit,npm run test:e2e실행하여 기존 계산 로직과 완벽히 동일하게 동작함을 확인하였습니다.PR created automatically by Jules for task 15732816544893549609 started by @seonghobae
Summary by CodeRabbit
성능 개선
문서