From 81e2e22ac391af502ae7b7f98ce877fdc5a1cb99 Mon Sep 17 00:00:00 2001
From: happybell80 <goeun2dcc@gmail.com>
Date: Tue, 14 Oct 2025 22:41:25 +0900
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- 의사코드 제거 (문서 작성 원칙 준수)
- 함수 시그니처, 반환 타입만 명시
- 파일명:줄번호 참조 간결화
- 97줄 유지

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
---
 .../251014_coldmail_ir_analysis_scenario.md   | 35 +++++++++----------
 1 file changed, 17 insertions(+), 18 deletions(-)

diff --git a/troubleshooting/251014_coldmail_ir_analysis_scenario.md b/troubleshooting/251014_coldmail_ir_analysis_scenario.md
index b243f0e..b9591a8 100644
--- a/troubleshooting/251014_coldmail_ir_analysis_scenario.md
+++ b/troubleshooting/251014_coldmail_ir_analysis_scenario.md
@@ -70,25 +70,24 @@
 
 ### 우선순위 4: LangGraph 워크플로우
 - requirements.txt: langgraph 추가
-- app/services/coldmail_email_fetcher.py 생성 (coldmail_briefing.py:93-121 분리, 300줄 제한 준수)
-  - async def fetch_emails(user_id, start_time, now): skill-email API 호출, return emails
-- app/services/coldmail_processor.py 생성 (coldmail_briefing.py:145-202 분리)
-  - async def process_coldmail(email, user_id): 첨부파일 처리, IR 분석, Slack Lists 생성, return result or None
-- app/services/workflows/__init__.py: 빈 파일 생성
-- app/services/workflows/coldmail_workflow.py 생성:
-  - from typing import TypedDict; from langgraph.graph import StateGraph, END; from app.services import coldmail_email_fetcher, coldmail_processor, coldmail_hybrid_filter
-  - class ColdmailState(TypedDict): emails: list, coldmail_candidates: list, processed_results: list, user_id: str, start_time: str, now: str
-  - async def fetch_emails_node(state): emails = await coldmail_email_fetcher.fetch_emails(state["user_id"], state["start_time"], state["now"]), return {"emails": emails}
-  - async def filter_coldmail_node(state): candidates = [], for email in state["emails"]: result = await coldmail_hybrid_filter.hybrid_coldmail_filter(...), if is_coldmail: candidates.append(email), return {"coldmail_candidates": candidates}
-  - async def process_email_node(state): results = [], for email in state["coldmail_candidates"]: result = await coldmail_processor.process_coldmail(email, state["user_id"]), if result: results.append(result), return {"processed_results": results}
-  - async def send_summary_node(state): start_time/now = datetime.fromisoformat(...), async with aiohttp.ClientSession() as session, summary 전송
-  - def route_after_filter(state): return "process" if state["coldmail_candidates"] else END
-  - graph = StateGraph(ColdmailState); graph.add_node/add_edge/add_conditional_edges
+- app/services/coldmail_email_fetcher.py 생성
+  - coldmail_briefing.py:93-121 로직 분리
+  - async def fetch_emails(user_id: str, start_time: str, now: str) -> list
+- app/services/coldmail_processor.py 생성
+  - coldmail_briefing.py:145-202 로직 분리
+  - async def process_coldmail(email: dict, user_id: str) -> dict or None
+  - 반환: {"company": str, "median": float, "confidence": float, "lower": float, "upper": float, "revenue": str}
+- app/services/workflows/__init__.py: 빈 파일
+- app/services/workflows/coldmail_workflow.py 생성
+  - class ColdmailState(TypedDict): emails, coldmail_candidates, processed_results, user_id, start_time, now
+  - 노드: fetch_emails_node, filter_coldmail_node, process_email_node, send_summary_node
+  - 각 노드는 coldmail_email_fetcher, coldmail_processor, coldmail_hybrid_filter 호출
+  - route_after_filter: coldmail_candidates 유무로 분기
+  - add_conditional_edges("filter", route_after_filter, {"process": "process", END: END})
   - workflow = graph.compile()
-- coldmail_briefing.py:78-302 교체 (최종 206줄)
-  - coldmail_briefing.py:86-101 유지 (now, start_time, user_id 계산)
-  - from app.services.workflows.coldmail_workflow import workflow
-  - result = await workflow.ainvoke({"emails": [], "coldmail_candidates": [], "processed_results": [], "user_id": user_id, "start_time": start_time.isoformat(), "now": now.isoformat()})
+- coldmail_briefing.py:78-302 교체 (최종 ~100줄)
+  - coldmail_briefing.py:86-101 유지
+  - workflow.ainvoke(initial_state) 호출
 
 ---