⚡ Bolt: Optimize deduplication from O(N^2) to O(N) - #1154
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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: Team Run ID: 📒 Files selected for processing (4)
Included review availability: Your plan provides up to 1 included review per hour; 0 remain after this review. 📝 WalkthroughWalkthrough분석 엔진과 차트 내 중복 제거 로직을 삽입 순서가 유지되는 딕셔너리 기반 구현으로 변경했다. focus section, chord label, role, cue, priority line의 출력 순서는 유지된다. 관련 최적화 학습 로그를 추가했다. Changes중복 제거 최적화
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to This change improves deduplication performance in analysis and chart generation while preserving the existing first-seen output order and output formats. No concrete current-head merge risk remains. Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 12 functions across 3 files. (1 skipped: 1 unsupported.) ✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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| chords: dict[str, ChordLabel] = {} | ||
| for role in section_roles: | ||
| harmony = role.get("harmony") | ||
| if isinstance(harmony, dict) and "chord" in harmony: | ||
| if harmony.get("source") == "user": | ||
| chord_name = str(harmony["chord"]) | ||
| if chord_name not in seen: | ||
| seen.add(chord_name) | ||
| chords.append( | ||
| { | ||
| "chord": chord_name, | ||
| "functionLabel": str(harmony.get("functionLabel", "")), | ||
| "source": "user", | ||
| } | ||
| ) | ||
| return chords | ||
| if chord_name not in chords: | ||
| chords[chord_name] = { | ||
| "chord": chord_name, | ||
| "functionLabel": str(harmony.get("functionLabel", "")), | ||
| "source": "user", | ||
| } | ||
| return list(chords.values()) |
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📝 Info: Deduplication semantics remain unchanged
Data-bearing chord maps keep the first duplicate's metadata. Reassigning existing ordered-set keys neither changes their position nor their exported value.
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Closing this competing performance writer after current-head semantic review; the only real quadratic de-duplication boundary is already owned more safely by canonical #1076. Exact source examined: #1154
The remaining #1154 edits are not the stated O(N²) defect:
Accordingly there is no valid unique behavior/test/fixture/contract/evidence to preserve from #1154 beyond the chart-export optimization already present, with stronger safety evidence, in #1076. No checks/reviews/approvals transfer. #1076 remains subject to fresh exact-head gates and independent non-author approval. |
Understood. Acknowledging that this work is now obsolete and stopping work on this task. |
1 participant
💡 What: Replaced O(n²)
if x not in list: list.append(x)list deduplication patterns with O(n) hash map lookups (dict[x] = Noneandlist(dict.keys())).🎯 Why: Iterating over lists for membership checks creates quadratic performance regressions in python scripts; replacing this with dicts takes advantage of O(1) membership checks while preserving insertion order (since Python 3.7+).
📊 Impact: Speeds up time range section deduplication on larger track ranges resulting in O(N) operations instead of O(N^2).
🔬 Measurement: Verify tests still pass natively (
cd services/analysis-engine && uv run pytest), no side-effects or regressions in performance, no exceptions due to typing.PR created automatically by Jules for task 17053569661716368577 started by @seonghobae
Summary by CodeRabbit
성능 개선
문서