⚡ Bolt: [검색 성능 최적화] - #434
Conversation
💡 What: transcript_search.py에서 집합의 불필요한 방어적 복사 제거 및 중복된 텍스트 속성 조회를 단일 변수로 최적화. 🎯 Why: O(N) 방어적 복사와 중복 속성 조회가 반복문 내에서 불필요한 연산을 유발하여 검색 및 인덱싱 성능 저하를 초래함. 📊 Impact: 인덱싱 속도 및 다중 검색 시 성능 향상, 메모리 할당 최소화. 🔬 Measurement: pytest 및 프로파일링을 통해 검색 속도 개선 여부 확인 가능.
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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 includes up to 1 review per rolling hour; 0 remain after this review. 📝 WalkthroughWalkthrough
ChangesTranscriptIndex 성능 최적화
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to This localized search-performance optimization does not introduce an actionable merge-blocking risk; it is merge-ready after normal checks and review. Possibly related PRs
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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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
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Reason: coverage-evidence result was
failure, so required test/docstring evidence was not proven for current head73269f41d294c8b27c47212b25111b27bfa65c56. -
Head SHA:
73269f41d294c8b27c47212b25111b27bfa65c56 -
Workflow run: 31973984542
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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 (2 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (2 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 (2 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (2 files)"]
R1 --> V1["required checks"]
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Use owner/repo#num for ContextualWisdomLab/codec-carver#437 and ContextualWisdomLab/codec-carver#434 so doctoring stays a durable cross-repo link.
Use owner/repo#num for ContextualWisdomLab/codec-carver#437 and ContextualWisdomLab/codec-carver#434 so doctoring stays a durable cross-repo link.
Use owner/repo#num for ContextualWisdomLab/codec-carver#437 and ContextualWisdomLab/codec-carver#434 so doctoring stays a durable cross-repo link.
Use owner/repo#num for ContextualWisdomLab/codec-carver#437 and ContextualWisdomLab/codec-carver#434 so doctoring stays a durable cross-repo link.
Use owner/repo#num for ContextualWisdomLab/codec-carver#437 and ContextualWisdomLab/codec-carver#434 so doctoring stays a durable cross-repo link.
💡 What: transcript_search.py에서 집합의 불필요한 방어적 복사 제거 및 중복된 텍스트 속성 조회를 단일 변수로 최적화.
🎯 Why: O(N) 방어적 복사와 중복 속성 조회가 반복문 내에서 불필요한 연산을 유발하여 검색 및 인덱싱 성능 저하를 초래함.
📊 Impact: 인덱싱 속도 및 다중 검색 시 성능 향상, 메모리 할당 최소화.
🔬 Measurement: pytest 및 프로파일링을 통해 검색 속도 개선 여부 확인 가능.
PR created automatically by Jules for task 13075563999397483468 started by @seonghobae
Summary by CodeRabbit