refactor: rename stock-lab → stock (graduation)

- 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-labhttp://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:
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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stock/app/scraper.py Normal file
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import logging
import requests
from bs4 import BeautifulSoup
from typing import List, Dict, Any
import time
logger = logging.getLogger("stock.scraper")
# 네이버 파이낸스 주요 뉴스
NAVER_FINANCE_NEWS_URL = "https://finance.naver.com/news/mainnews.naver"
# 해외증시 뉴스 (모바일 API 사용)
# NAVER_FINANCE_WORLD_NEWS_URL 사용 안함.
# 해외증시 메인 (지수용)
NAVER_FINANCE_WORLD_URL = "https://finance.naver.com/world/"
def fetch_market_news() -> List[Dict[str, str]]:
"""
네이버 금융 '주요 뉴스' 크롤링
반환: [{"title": "...", "link": "...", "summary": "...", "date": "..."}, ...]
"""
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36"
}
resp = requests.get(NAVER_FINANCE_NEWS_URL, headers=headers, timeout=10)
resp.raise_for_status()
soup = BeautifulSoup(resp.content, "html.parser", from_encoding="cp949")
# 주요 뉴스 리스트 추출
# 구조: div.mainNewsList > ul > li
articles = []
news_list = soup.select(".mainNewsList ul li")
for li in news_list:
# 썸네일 있을 수도 있고 없을 수도 있음
dl = li.select_one("dl")
if not dl:
continue
# 제목 (dd.articleSubject > a)
subject_tag = dl.select_one(".articleSubject a")
if not subject_tag:
continue
title = subject_tag.get_text(strip=True)
link = "https://finance.naver.com" + subject_tag["href"]
# 요약 (dd.articleSummary)
summary_tag = dl.select_one(".articleSummary")
summary = ""
press = ""
date = ""
if summary_tag:
# 불필요한 태그 제거
for child in summary_tag.select(".press, .wdate"):
if "press" in child.get("class", []):
press = child.get_text(strip=True)
if "wdate" in child.get("class", []):
date = child.get_text(strip=True)
child.extract()
summary = summary_tag.get_text(strip=True)
articles.append({
"title": title,
"link": link,
"summary": summary,
"press": press,
"date": date,
"crawled_at": time.strftime("%Y-%m-%d %H:%M:%S"),
"category": "domestic"
})
return articles
except Exception as e:
logger.error(f"국내 뉴스 스크래핑 실패: {e}")
return []
def fetch_major_indices() -> Dict[str, Any]:
"""
KOSPI, KOSDAQ, KOSPI200 등 주요 지표 (네이버 금융 홈)
"""
url = "https://finance.naver.com/"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)"
}
try:
targets = [
{"key": "KOSPI", "selector": ".kospi_area", "url": "https://finance.naver.com/"},
{"key": "KOSDAQ", "selector": ".kosdaq_area", "url": "https://finance.naver.com/"},
{"key": "KOSPI200", "selector": ".kospi200_area", "url": "https://finance.naver.com/"},
]
# 해외 지수 (네이버 금융 해외 메인) - 여기서는 별도 URL 호출 필요하거나, 메인에 있는지 확인
# 네이버 메인에는 해외지수가 안 나옴. https://finance.naver.com/world/ 에서 긁어야 함
# 그러나 한 번에 처리하기 위해 함수 내에서 추가 호출
indices = []
# --- 국내 ---
resp_kr = requests.get("https://finance.naver.com/", headers=headers, timeout=5)
soup_kr = BeautifulSoup(resp_kr.content, "html.parser", from_encoding="cp949")
for t in targets:
area = soup_kr.select_one(t["selector"])
if not area: continue
# (기존 파싱 로직)
num_tag = area.select_one(".num")
value = num_tag.get_text(strip=True) if num_tag else ""
change_val_tag = area.select_one(".num2")
change_pct_tag = area.select_one(".num3")
change_val = change_val_tag.get_text(strip=True) if change_val_tag else ""
change_pct = change_pct_tag.get_text(strip=True) if change_pct_tag else ""
direction = ""
if area.select_one(".bu_p"): direction = "red"
elif area.select_one(".bu_m"): direction = "blue"
indices.append({
"name": t["key"],
"value": value,
"change_value": change_val,
"change_percent": change_pct,
"direction": direction,
"type": "domestic"
})
# --- 해외 (DJI, NAS, SPI) ---
try:
resp_world = requests.get(NAVER_FINANCE_WORLD_URL, headers=headers, timeout=5)
soup_world = BeautifulSoup(resp_world.content, "html.parser", from_encoding="cp949")
world_targets = [
{"key": "DJI", "name": "다우산업", "sym": "DJI@DJI"},
{"key": "NAS", "name": "나스닥", "sym": "NAS@IXIC"},
{"key": "SPI", "name": "S&P500", "sym": "SPI@SPX"},
]
for wt in world_targets:
# 심볼 링크로 찾기 (가장 정확함)
a_tag = soup_world.select_one(f"a[href*='symbol={wt['sym']}']")
if not a_tag:
continue
# 상위 dl 태그 찾기
dl = a_tag.find_parent("dl")
if not dl:
continue
# 값 파싱 (dd.point_status)
status_dd = dl.select_one("dd.point_status")
if not status_dd:
continue
# 1. 현재가 (strong)
val_tag = status_dd.select_one("strong")
value = val_tag.get_text(strip=True) if val_tag else ""
# 2. 등락폭 (em)
change_val_tag = status_dd.select_one("em")
change_val = change_val_tag.get_text(strip=True) if change_val_tag else ""
# 3. 등락률 (span)
change_pct_tag = status_dd.select_one("span")
change_pct = change_pct_tag.get_text(strip=True) if change_pct_tag else ""
# 4. 방향 (dl 클래스 활용)
direction = ""
dl_classes = dl.get("class", [])
if "point_up" in dl_classes:
direction = "red"
elif "point_dn" in dl_classes:
direction = "blue"
indices.append({
"name": wt["name"], # 한글 이름 사용
"value": value,
"change_value": change_val,
"change_percent": change_pct,
"direction": direction,
"type": "overseas"
})
except Exception as e:
logger.error(f"해외 지수 스크래핑 실패: {e}")
# --- 환율 (USD/KRW) ---
try:
resp_ex = requests.get("https://finance.naver.com/marketindex/", headers=headers, timeout=5)
soup_ex = BeautifulSoup(resp_ex.content, "html.parser", from_encoding="cp949")
usd_item = soup_ex.select_one("#exchangeList li.on > a.head.usd")
if usd_item:
value = usd_item.select_one(".value").get_text(strip=True)
change_val = usd_item.select_one(".change").get_text(strip=True)
# 방향 (blind 텍스트: 상승, 하락)
direction = ""
blind_txt = usd_item.select_one(".blind").get_text(strip=True)
if "상승" in blind_txt: direction = "red"
elif "하락" in blind_txt: direction = "blue"
# change_val은 네이버 HTML에서 부호 없이 숫자만 옴 → direction 기반으로 부호 붙여줌
# (프론트 getDirection()이 부호로 색/화살표를 판별하므로)
if change_val and not change_val.startswith(("+", "-")):
if direction == "red":
change_val = f"+{change_val}"
elif direction == "blue":
change_val = f"-{change_val}"
indices.append({
"name": "원달러 환율",
"value": value,
"change_value": change_val,
"change_percent": "", # 메인 리스트에서 바로 안보임
"direction": direction,
"type": "exchange"
})
except Exception as e:
logger.error(f"환율 스크래핑 실패: {e}")
return {"indices": indices, "crawled_at": time.strftime("%Y-%m-%d %H:%M:%S")}
except Exception as e:
logger.error(f"지수 스크래핑 전체 실패: {e}")
return {"indices": [], "error": str(e)}