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refactor: rename stock-lab → stock (graduation)

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- git mv stock-lab/ → stock/
- docker-compose.yml: 서비스 키 + container_name + build.context +
  frontend.depends_on + agent-office STOCK_LAB_URL → STOCK_URL
- agent-office/app: config.py, service_proxy.py, agents/stock.py, tests/
  STOCK_LAB_URL → STOCK_URL
- nginx/default.conf: proxy_pass http://stock-lab → http://stock (3 lines)
- CLAUDE.md / README.md / STATUS.md / scripts/ 문구 갱신
- stock/ 내부 자기 참조 갱신

lab 네이밍 정책 (feedback_lab_naming.md) graduation.
API URL / Python import / DB 파일명 변경 없음.
This commit is contained in:
gahusb
2026-05-15 01:45:22 +09:00
parent 8812bd870a
commit ace0339d33
74 changed files with 67 additions and 67 deletions
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28
agent-office/app/service_proxy.py
View File

@@ -1,7 +1,7 @@
import httpx
from typing import Any, Dict, List, Optional
from .config import STOCK_LAB_URL, MUSIC_LAB_URL, BLOG_LAB_URL, REALESTATE_LAB_URL
from .config import STOCK_URL, MUSIC_LAB_URL, BLOG_LAB_URL, REALESTATE_LAB_URL
_client = httpx.AsyncClient(timeout=30.0)
@@ -9,23 +9,23 @@ async def fetch_stock_news(limit: int = 10, category: str = None) -> List[Dict[s
params = {"limit": limit}
if category:
params["category"] = category
resp = await _client.get(f"{STOCK_LAB_URL}/api/stock/news", params=params)
resp = await _client.get(f"{STOCK_URL}/api/stock/news", params=params)
resp.raise_for_status()
return resp.json()
async def fetch_stock_indices() -> Dict[str, Any]:
resp = await _client.get(f"{STOCK_LAB_URL}/api/stock/indices")
resp = await _client.get(f"{STOCK_URL}/api/stock/indices")
resp.raise_for_status()
return resp.json()
async def summarize_stock_news(limit: int = 15) -> Dict[str, Any]:
"""stock-lab의 AI 요약 엔드포인트 호출.
"""stock의 AI 요약 엔드포인트 호출.
반환: {"summary": str, "tokens": {...}, "model": str, "duration_ms": int, "article_count": int}
"""
# stock-lab 내부 Ollama 호출이 180s까지 가능하므로 여유있게 200s
# stock 내부 Ollama 호출이 180s까지 가능하므로 여유있게 200s
async with httpx.AsyncClient(timeout=200.0) as client:
resp = await client.post(
f"{STOCK_LAB_URL}/api/stock/news/summarize",
f"{STOCK_URL}/api/stock/news/summarize",
json={"limit": limit},
)
resp.raise_for_status()
@@ -33,32 +33,32 @@ async def summarize_stock_news(limit: int = 15) -> Dict[str, Any]:
async def refresh_screener_snapshot() -> Dict[str, Any]:
"""stock-lab의 KRX 일봉 스냅샷 갱신 (스크리너 실행 전 호출).
"""stock의 KRX 일봉 스냅샷 갱신 (스크리너 실행 전 호출).
네이버 금융 일괄 다운로드라 보통 30~120s, 여유있게 180s.
"""
async with httpx.AsyncClient(timeout=180.0) as client:
resp = await client.post(f"{STOCK_LAB_URL}/api/stock/screener/snapshot/refresh")
resp = await client.post(f"{STOCK_URL}/api/stock/screener/snapshot/refresh")
resp.raise_for_status()
return resp.json()
async def refresh_ai_news_sentiment() -> Dict[str, Any]:
"""stock-lab의 AI 뉴스 sentiment 분석 트리거 (08:00 cron).
"""stock의 AI 뉴스 sentiment 분석 트리거 (08:00 cron).
네이버 100종목 스크래핑 + Claude Haiku 100콜 병렬 = 약 30-60초.
여유있게 240s timeout.
"""
async with httpx.AsyncClient(timeout=240.0) as client:
resp = await client.post(
f"{STOCK_LAB_URL}/api/stock/screener/snapshot/refresh-news-sentiment"
f"{STOCK_URL}/api/stock/screener/snapshot/refresh-news-sentiment"
)
resp.raise_for_status()
return resp.json()
async def run_stock_screener(mode: str = "auto") -> Dict[str, Any]:
"""stock-lab의 스크리너 실행.
"""stock의 스크리너 실행.
반환 status:
- 'skipped_holiday': 공휴일/주말 — telegram_payload 없음
@@ -67,7 +67,7 @@ async def run_stock_screener(mode: str = "auto") -> Dict[str, Any]:
"""
async with httpx.AsyncClient(timeout=180.0) as client:
resp = await client.post(
f"{STOCK_LAB_URL}/api/stock/screener/run",
f"{STOCK_URL}/api/stock/screener/run",
json={"mode": mode},
)
resp.raise_for_status()
@@ -75,13 +75,13 @@ async def run_stock_screener(mode: str = "auto") -> Dict[str, Any]:
async def scrape_stock_news() -> Dict[str, Any]:
"""stock-lab의 수동 뉴스 스크랩 트리거 — DB에 최신 뉴스 저장.
"""stock의 수동 뉴스 스크랩 트리거 — DB에 최신 뉴스 저장.
아침 브리핑 직전 호출하여 어제 데이터가 아닌 오늘 새벽 뉴스를 보장한다.
네이버 금융 단일 요청이라 보통 수 초 내 완료, 여유있게 60s.
"""
async with httpx.AsyncClient(timeout=60.0) as client:
resp = await client.post(f"{STOCK_LAB_URL}/api/stock/scrap")
resp = await client.post(f"{STOCK_URL}/api/stock/scrap")
resp.raise_for_status()
return resp.json()