Files
web-page-backend/agent-office/app/service_proxy.py
gahusb ace0339d33 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.
2026-05-15 01:45:44 +09:00

294 lines
10 KiB
Python

import httpx
from typing import Any, Dict, List, Optional
from .config import STOCK_URL, MUSIC_LAB_URL, BLOG_LAB_URL, REALESTATE_LAB_URL
_client = httpx.AsyncClient(timeout=30.0)
async def fetch_stock_news(limit: int = 10, category: str = None) -> List[Dict[str, Any]]:
params = {"limit": limit}
if category:
params["category"] = category
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_URL}/api/stock/indices")
resp.raise_for_status()
return resp.json()
async def summarize_stock_news(limit: int = 15) -> Dict[str, Any]:
"""stock의 AI 요약 엔드포인트 호출.
반환: {"summary": str, "tokens": {...}, "model": str, "duration_ms": int, "article_count": int}
"""
# stock 내부 Ollama 호출이 180s까지 가능하므로 여유있게 200s
async with httpx.AsyncClient(timeout=200.0) as client:
resp = await client.post(
f"{STOCK_URL}/api/stock/news/summarize",
json={"limit": limit},
)
resp.raise_for_status()
return resp.json()
async def refresh_screener_snapshot() -> Dict[str, Any]:
"""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_URL}/api/stock/screener/snapshot/refresh")
resp.raise_for_status()
return resp.json()
async def refresh_ai_news_sentiment() -> Dict[str, Any]:
"""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_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]:
"""stock의 스크리너 실행.
반환 status:
- 'skipped_holiday': 공휴일/주말 — telegram_payload 없음
- 'success': telegram_payload 동봉
엔진 자체는 수 초 내 끝나지만, 컨텍스트 로드+200종목 처리 여유 180s.
"""
async with httpx.AsyncClient(timeout=180.0) as client:
resp = await client.post(
f"{STOCK_URL}/api/stock/screener/run",
json={"mode": mode},
)
resp.raise_for_status()
return resp.json()
async def scrape_stock_news() -> Dict[str, Any]:
"""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_URL}/api/stock/scrap")
resp.raise_for_status()
return resp.json()
async def generate_music(payload: dict) -> Dict[str, Any]:
resp = await _client.post(f"{MUSIC_LAB_URL}/api/music/generate", json=payload)
resp.raise_for_status()
return resp.json()
async def get_music_status(task_id: str) -> Dict[str, Any]:
resp = await _client.get(f"{MUSIC_LAB_URL}/api/music/status/{task_id}")
resp.raise_for_status()
return resp.json()
async def get_music_credits() -> Dict[str, Any]:
resp = await _client.get(f"{MUSIC_LAB_URL}/api/music/credits")
resp.raise_for_status()
return resp.json()
# --- blog-lab ---
async def blog_research(keyword: str) -> Dict[str, Any]:
"""키워드 리서치 시작 → task_id 반환"""
resp = await _client.post(
f"{BLOG_LAB_URL}/api/blog-marketing/research",
json={"keyword": keyword},
)
resp.raise_for_status()
return resp.json()
async def blog_task_status(task_id: str) -> Dict[str, Any]:
resp = await _client.get(f"{BLOG_LAB_URL}/api/blog-marketing/task/{task_id}")
resp.raise_for_status()
return resp.json()
async def blog_generate(keyword_id: int) -> Dict[str, Any]:
resp = await _client.post(
f"{BLOG_LAB_URL}/api/blog-marketing/generate",
json={"keyword_id": keyword_id},
)
resp.raise_for_status()
return resp.json()
async def blog_market(post_id: int) -> Dict[str, Any]:
resp = await _client.post(f"{BLOG_LAB_URL}/api/blog-marketing/market/{post_id}")
resp.raise_for_status()
return resp.json()
async def blog_review(post_id: int) -> Dict[str, Any]:
resp = await _client.post(f"{BLOG_LAB_URL}/api/blog-marketing/review/{post_id}")
resp.raise_for_status()
return resp.json()
async def blog_publish(post_id: int, url: str = "") -> Dict[str, Any]:
resp = await _client.post(
f"{BLOG_LAB_URL}/api/blog-marketing/posts/{post_id}/publish",
json={"url": url},
)
resp.raise_for_status()
return resp.json()
async def blog_get_post(post_id: int) -> Dict[str, Any]:
resp = await _client.get(f"{BLOG_LAB_URL}/api/blog-marketing/posts/{post_id}")
resp.raise_for_status()
return resp.json()
# --- realestate-lab ---
async def realestate_collect() -> Dict[str, Any]:
"""청약 공고 수동 수집 트리거"""
async with httpx.AsyncClient(timeout=120.0) as client:
resp = await client.post(f"{REALESTATE_LAB_URL}/api/realestate/collect")
resp.raise_for_status()
return resp.json()
async def realestate_matches(limit: int = 20) -> List[Dict[str, Any]]:
"""realestate-lab의 GET /api/realestate/matches 호출."""
async with httpx.AsyncClient(timeout=10) as client:
resp = await client.get(
f"{REALESTATE_LAB_URL}/api/realestate/matches",
params={"size": limit},
)
resp.raise_for_status()
data = resp.json()
return data.get("items", [])
async def realestate_dashboard() -> Dict[str, Any]:
resp = await _client.get(f"{REALESTATE_LAB_URL}/api/realestate/dashboard")
resp.raise_for_status()
return resp.json()
async def realestate_mark_read(match_id: int) -> Dict[str, Any]:
resp = await _client.patch(f"{REALESTATE_LAB_URL}/api/realestate/matches/{match_id}/read")
resp.raise_for_status()
return resp.json()
async def realestate_bookmark_toggle(announcement_id: int) -> Dict[str, Any]:
"""realestate-lab의 PATCH /api/realestate/announcements/{id}/bookmark 호출."""
async with httpx.AsyncClient(timeout=10) as client:
resp = await client.patch(
f"{REALESTATE_LAB_URL}/api/realestate/announcements/{announcement_id}/bookmark"
)
resp.raise_for_status()
return resp.json()
# --- lotto-backend ---
async def lotto_candidates(n: int = 20) -> Dict[str, Any]:
from .config import LOTTO_BACKEND_URL
resp = await _client.get(f"{LOTTO_BACKEND_URL}/api/lotto/curator/candidates", params={"n": n})
resp.raise_for_status()
return resp.json()
async def lotto_context() -> Dict[str, Any]:
from .config import LOTTO_BACKEND_URL
resp = await _client.get(f"{LOTTO_BACKEND_URL}/api/lotto/curator/context")
resp.raise_for_status()
return resp.json()
async def lotto_save_briefing(payload: dict) -> Dict[str, Any]:
from .config import LOTTO_BACKEND_URL
resp = await _client.post(f"{LOTTO_BACKEND_URL}/api/lotto/briefing", json=payload)
resp.raise_for_status()
return resp.json()
async def lotto_review_latest() -> Optional[Dict[str, Any]]:
from .config import LOTTO_BACKEND_URL
resp = await _client.get(f"{LOTTO_BACKEND_URL}/api/lotto/review/latest")
if resp.status_code == 404:
return None
resp.raise_for_status()
return resp.json()
async def lotto_review_by_draw(draw_no: int) -> Optional[Dict[str, Any]]:
from .config import LOTTO_BACKEND_URL
resp = await _client.get(f"{LOTTO_BACKEND_URL}/api/lotto/review/{draw_no}")
if resp.status_code == 404:
return None
resp.raise_for_status()
return resp.json()
async def lotto_reviews_history(limit: int = 10) -> List[Dict[str, Any]]:
from .config import LOTTO_BACKEND_URL
resp = await _client.get(
f"{LOTTO_BACKEND_URL}/api/lotto/review/history",
params={"limit": limit},
)
resp.raise_for_status()
return resp.json().get("reviews", [])
# --- music-lab pipeline (YouTube publisher orchestration) ---
async def list_active_pipelines() -> list[dict]:
async with httpx.AsyncClient(timeout=15) as client:
resp = await client.get(f"{MUSIC_LAB_URL}/api/music/pipeline?status=active")
resp.raise_for_status()
return resp.json().get("pipelines", [])
async def get_pipeline(pid: int) -> dict:
async with httpx.AsyncClient(timeout=15) as client:
resp = await client.get(f"{MUSIC_LAB_URL}/api/music/pipeline/{pid}")
resp.raise_for_status()
return resp.json()
async def post_pipeline_feedback(pid: int, step: str, intent: str,
feedback_text: Optional[str] = None) -> dict:
async with httpx.AsyncClient(timeout=15) as client:
resp = await client.post(
f"{MUSIC_LAB_URL}/api/music/pipeline/{pid}/feedback",
json={"step": step, "intent": intent, "feedback_text": feedback_text},
)
resp.raise_for_status()
return resp.json()
async def save_pipeline_telegram_msg(pid: int, step: str, msg_id: int) -> None:
async with httpx.AsyncClient(timeout=10) as client:
await client.patch(
f"{MUSIC_LAB_URL}/api/music/pipeline/{pid}/telegram-msg",
json={"step": step, "message_id": msg_id},
)
async def lookup_pipeline_by_msg(msg_id: int) -> Optional[dict]:
async with httpx.AsyncClient(timeout=10) as client:
resp = await client.get(f"{MUSIC_LAB_URL}/api/music/pipeline/lookup-by-msg/{msg_id}")
if resp.status_code == 200:
return resp.json()
return None