⚡ Bolt: [성능 개선] Date.parse를 사용한 타임스탬프 파싱 최적화 - #413
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## 💡 작업 내용 - `packages/web/src/components/dashboard/session-timeline-chart.tsx`와 `packages/web/src/lib/format.ts`에서 불필요한 `new Date(iso).getTime()` 호출을 `Date.parse(iso)`로 교체했습니다. ## 🎯 이유 - ISO 문자열을 밀리초 단위의 타임스탬프로 변환할 때, 단순히 `new Date()`를 호출하여 임시 Date 객체를 메모리에 할당하고 바로 버리는 것은 성능에 좋지 않습니다. 배열을 순회하며 렌더링하거나 포맷팅하는 성능 핵심 경로에서 잦은 객체 할당을 줄이기 위함입니다. ## 📊 영향 - 브라우저 및 Node.js V8 엔진 환경에서 날짜 문자열 파싱 속도가 향상되고, 불필요한 가비지 컬렉션(GC) 부하가 줄어듭니다. ## 🔬 검증 방법 - 단위 테스트(`pnpm test`)를 통해 모든 변경 사항이 기존 날짜 처리 로직과 동일하게 동작함을 검증 완료했습니다.
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📝 WalkthroughWalkthroughISO 문자열의 타임스탬프 추출을 Changes타임스탬프 파싱 변경
Estimated code review effort: 2 (Simple) | ~10 minutes Possibly related PRs
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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🧹 Nitpick comments (1)
packages/web/src/components/dashboard/session-timeline-chart.tsx (1)
70-81: 🚀 Performance & Scalability | 🔵 Trivial | ⚡ Quick win정렬 전에 타임스탬프를 한 번만 파싱하세요.
Date.parse는Date객체 할당을 제거합니다. 그러나 현재sort비교 함수는 비교할 때마다a.timestamp와b.timestamp를 다시 파싱합니다. 항목이 많으면 정렬 중 문자열 파싱이 최대O(n log n)회 발생합니다. 정렬 전에 밀리초 값을 계산하고 정렬과 매핑에서 재사용하세요.수정 예시
- const sortedUsage = [...usageTimeline].sort( - (a, b) => Date.parse(a.timestamp) - Date.parse(b.timestamp), - ); + const sortedUsage = usageTimeline + .map((usage) => ({ + usage, + timestampMs: Date.parse(usage.timestamp), + })) + .sort((a, b) => a.timestampMs - b.timestampMs); - return sortedUsage.map((usage) => { - const currentTimestamp = Date.parse(usage.timestamp); + return sortedUsage.map(({ usage, timestampMs: currentTimestamp }) => {성능 목표가 필수 조건이면 대표적인 타임라인 크기로 변경 전후를 벤치마크해 확인하세요.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@packages/web/src/components/dashboard/session-timeline-chart.tsx` around lines 70 - 81, Update the timeline processing around sortedUsage to parse each usage timestamp once before sorting, store the resulting millisecond value with its usage entry, and reuse it in the sort comparator and subsequent map logic instead of calling Date.parse repeatedly. Keep the existing chronological ordering and tool-call processing behavior unchanged.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Nitpick comments:
In `@packages/web/src/components/dashboard/session-timeline-chart.tsx`:
- Around line 70-81: Update the timeline processing around sortedUsage to parse
each usage timestamp once before sorting, store the resulting millisecond value
with its usage entry, and reuse it in the sort comparator and subsequent map
logic instead of calling Date.parse repeatedly. Keep the existing chronological
ordering and tool-call processing behavior unchanged.
ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: CHILL
Plan: Pro Plus
Run ID: 77125f40-c508-41c6-acf1-0f030e052d52
📒 Files selected for processing (3)
.jules/bolt.mdpackages/web/src/components/dashboard/session-timeline-chart.tsxpackages/web/src/lib/format.ts
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Pull request overview
OpenCode cannot approve yet because required coverage evidence did not pass.
Review outcome
1. HIGH .github/workflows/opencode-review.yml:1 - Coverage evidence did not prove required test/docstring evidence
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Problem: The required coverage-evidence job result was
failure, so OpenCode cannot establish approval sufficiency for this head. -
Root cause: Automated approval is only valid when the same-head coverage-evidence job proves supported repository test suites passed and configured docstring gates passed or were advisory, or reports not applicable because no supported source files or package manifests exist. Missing, failed, skipped, unavailable, or unsupported-tooling test evidence is a blocker.
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Fix: Install or configure the repository test/docstring evidence tooling when source files or package manifests exist, rerun the current-head coverage-evidence job, and approve only after it reports
successwith required evidence or explicit no-source not-applicable evidence. -
Regression test: Keep the approval branch checking
needs.coverage-evidence.result == successbefore posting APPROVE, and publish REQUEST_CHANGES when coverage-evidence blocker states such as cancelled, skipped, failed, unsupported-tooling, or below-100 evidence are present. -
Result: REQUEST_CHANGES
-
Reason: coverage-evidence result was
failure, so required test/docstring evidence was not proven for current headb4d7a997650d6453ff76cc8925592687bae3ad0f. -
Head SHA:
b4d7a997650d6453ff76cc8925592687bae3ad0f -
Workflow run: 31318155410
-
Workflow attempt: 1
Coverage evidence
Coverage evidence job did not run or did not publish coverage evidence.
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (3 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (3 files)"]
R1 --> V1["required checks"]
OpenCode Review Overview
Pull request overviewOpenCode cannot approve yet because required coverage evidence did not pass. Review outcome1. HIGH .github/workflows/opencode-review.yml:1 - Coverage evidence did not prove required test/docstring evidence
Coverage evidenceCoverage evidence job did not run or did not publish coverage evidence. Changed-File Evidence Mapflowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (3 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (3 files)"]
R1 --> V1["required checks"]
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1 participant
⚡ Bolt: [성능 개선] 불필요한 Date 객체 할당 제거를 통한 파싱 성능 최적화
💡 작업 내용
packages/web/src/components/dashboard/session-timeline-chart.tsx및packages/web/src/lib/format.ts내에서 문자열로부터 밀리초(ms) 타임스탬프를 추출하기 위해 사용하던new Date(iso).getTime()패턴을 모두Date.parse(iso)로 리팩토링했습니다..jules/bolt.md저널에 성능 최적화 관련 학습 내용을 기록했습니다.🎯 이유
map,sort내부 등)과 같이 자주 호출되는 경로에서 단순히 타임스탬프 숫자만 필요할 때new Date()를 호출하면 불필요한 임시 객체가 메모리에 할당되었다가 바로 버려지게 됩니다. 이는 가비지 컬렉터에 부담을 주고 파싱 속도를 지연시킵니다.Date.parse()를 직접 호출하는 것이 임시 객체 할당 오버헤드가 없으므로 유의미하게 더 빠릅니다.📊 영향
🔬 검증 방법
format.ts) 관련 모든 유닛 테스트 및 차트(session-timeline-chart.test.tsx) 테스트가 정상적으로 통과함을 확인했습니다.PR created automatically by Jules for task 15560887584790216982 started by @seonghobae
Summary by CodeRabbit