fix(data-science): restore chart/PNG output + sharper LLM handoff#10
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5 시나리오 (S-A~S-E) 검증 중 data_science_team의 시각화/다운로드가 일관되게
실패하던 회귀를 plan §DATA_SCIENCE_ANALYTICS_TEAM_PLAN.md 기반으로 복구.
Root cause:
1. supervisor가 data_engineer만 5회 반복 dispatch → data_analyst의
python_repl_data_tool 미도달 → PNG 생성 안 됨
2. LLM이 chat history의 stale absolute path를 read_csv에 사용해
FileNotFoundError
3. 다중 turn 누적 matplotlib figure state로 savefig silent fail
4. head supervisor가 data 첨부 + 시각화 요청을 coding_team으로 잘못 위임
(TEAM SELECTION HINTS의 `prefer`가 약함)
Fix (룰 베이스 금지, plan §4.0 P1 준수):
- DATA_ENGINEER_PROMPT: ONE-pass inspection + 차트는 data_analyst 책임 명시
- DATA_ANALYST_PROMPT: file_name으로만 read (absolute path 금지) + cwd 보장
+ artifact_path() 사용 강제 + retry policy
- TEAM_SUPERVISOR_PROMPT: DATA SCIENCE TEAM HANDOFF 블록 — engineer 다음은
항상 analyst, engineer 재dispatch 금지
- SYSTEM_SUPERVISOR_PROMPT: data 첨부 + 차트/시각화 요청은 MUST
data_science_team (coding_team 우회)
- REVIEWER_PROMPT: STOPPING RULES — artifact registered면 valid, 2번 fail
후 stop
- python_repl_data_tool: plt.close('all') prelude cleanup으로 cross-turn
figure state leak 차단 + docstring에 file_name/artifact_path 강조
- team_supervisor.py: dispatched workers 요약을 system prompt에 inject
(LLM이 history를 직접 본 후 결정 — 룰 아님, 데이터)
- CLAUDE.md: Supervisor → Sub-agent Handoff 정책 5원칙 추가 (P1~P5,
체크리스트 포함)
Verification (dong 계정, playwright MCP):
- S-A trend.csv 라인차트 → trend_revenue.png PASS
- S-B products.json 막대차트 → category_avg_price_bar.png PASS
- S-C multi_sheet.xlsx 시트 비교 → revenue_vs_cost_bar.png PASS
- S-D sales.csv + metrics.csv 2 서브플롯 → sales_region_revenue_and_monthly_mrr.png PASS
- S-E korean_sales.csv 한국어 라벨 — matplotlib silent savefig fail (한글 폰트
layout 이슈, separate follow-up)
pytest 316/316 PASS, 회귀 0.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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This was referenced May 21, 2026
This was referenced May 22, 2026
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Summary
plans/DATA_SCIENCE_ANALYTICS_TEAM_PLAN.md 기능(첨부 → data_science_team → PNG/다운로드)이 사용자 검증에서 일관되게 실패. 룰 베이스 추가 없이 prompt 강화 + 도구 docstring 정밀화 + matplotlib state leak 차단으로 4/5 시나리오 복구.
Root Cause
data_engineer만 5회 반복 dispatch →data_analyst미도달 →python_repl_data_tool미호출 → PNG 0건pd.read_csv()에 사용 → FileNotFoundErrorsavefigsilent no-opcoding_team으로 잘못 위임Fix (Plan §4.0 P1: LLM-Driven, 룰 베이스 금지)
artifact_path()사용, retry policyplt.close('all')prelude cleanup + file_name docstringVerification (dong account, playwright MCP)
trend_revenue.pngcategory_avg_price_bar.pngrevenue_vs_cost_bar.pngsales_region_revenue_and_monthly_mrr.png<img src=".../attachments/0">+<a href=...>다운로드 링크 정상 노출Test plan
🤖 Generated with Claude Code