기존 Stock/Music 에이전트 패턴을 따라 2개 신규 에이전트 도입. - Blog 에이전트 (10:00 매일): 트렌드 키워드 1개 자동 선택 → blog-lab 파이프라인 전체 (research→generate→market→review) 자동 실행 → 평가 점수와 본문 요약을 텔레그램 승인 요청으로 푸시 → 승인 시 published 전환, 거절 시 작업 종료 - Realestate 에이전트 (09:15 매일): realestate-lab 수집 트리거 → 신규 매칭 상위 5건 + 대시보드를 텔레그램 리포트 → 조회한 매칭은 자동 읽음 처리 - service_proxy: blog-lab/realestate-lab REST 호출 래퍼 추가 - agents 레지스트리 + DB 시드 + 스케줄러 3개 잡 등록 - docker-compose: agent-office에 BLOG_LAB_URL/REALESTATE_LAB_URL 주입 - README: 에이전트 구성 표 + 명령어 + 스케줄러 잡 정리 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
134 lines
4.3 KiB
Python
134 lines
4.3 KiB
Python
import httpx
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from typing import Any, Dict, List, Optional
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from .config import STOCK_LAB_URL, MUSIC_LAB_URL, BLOG_LAB_URL, REALESTATE_LAB_URL
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_client = httpx.AsyncClient(timeout=30.0)
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async def fetch_stock_news(limit: int = 10, category: str = None) -> List[Dict[str, Any]]:
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params = {"limit": limit}
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if category:
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params["category"] = category
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resp = await _client.get(f"{STOCK_LAB_URL}/api/stock/news", params=params)
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resp.raise_for_status()
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return resp.json()
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async def fetch_stock_indices() -> Dict[str, Any]:
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resp = await _client.get(f"{STOCK_LAB_URL}/api/stock/indices")
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resp.raise_for_status()
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return resp.json()
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async def summarize_stock_news(limit: int = 15) -> Dict[str, Any]:
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"""stock-lab의 AI 요약 엔드포인트 호출.
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반환: {"summary": str, "tokens": {...}, "model": str, "duration_ms": int, "article_count": int}
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"""
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# stock-lab 내부 Ollama 호출이 180s까지 가능하므로 여유있게 200s
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async with httpx.AsyncClient(timeout=200.0) as client:
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resp = await client.post(
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f"{STOCK_LAB_URL}/api/stock/news/summarize",
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json={"limit": limit},
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)
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resp.raise_for_status()
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return resp.json()
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async def generate_music(payload: dict) -> Dict[str, Any]:
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resp = await _client.post(f"{MUSIC_LAB_URL}/api/music/generate", json=payload)
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resp.raise_for_status()
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return resp.json()
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async def get_music_status(task_id: str) -> Dict[str, Any]:
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resp = await _client.get(f"{MUSIC_LAB_URL}/api/music/status/{task_id}")
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resp.raise_for_status()
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return resp.json()
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async def get_music_credits() -> Dict[str, Any]:
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resp = await _client.get(f"{MUSIC_LAB_URL}/api/music/credits")
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resp.raise_for_status()
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return resp.json()
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# --- blog-lab ---
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async def blog_research(keyword: str) -> Dict[str, Any]:
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"""키워드 리서치 시작 → task_id 반환"""
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resp = await _client.post(
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f"{BLOG_LAB_URL}/api/blog-marketing/research",
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json={"keyword": keyword},
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)
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resp.raise_for_status()
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return resp.json()
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async def blog_task_status(task_id: str) -> Dict[str, Any]:
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resp = await _client.get(f"{BLOG_LAB_URL}/api/blog-marketing/task/{task_id}")
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resp.raise_for_status()
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return resp.json()
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async def blog_generate(keyword_id: int) -> Dict[str, Any]:
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resp = await _client.post(
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f"{BLOG_LAB_URL}/api/blog-marketing/generate",
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json={"keyword_id": keyword_id},
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)
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resp.raise_for_status()
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return resp.json()
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async def blog_market(post_id: int) -> Dict[str, Any]:
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resp = await _client.post(f"{BLOG_LAB_URL}/api/blog-marketing/market/{post_id}")
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resp.raise_for_status()
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return resp.json()
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async def blog_review(post_id: int) -> Dict[str, Any]:
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resp = await _client.post(f"{BLOG_LAB_URL}/api/blog-marketing/review/{post_id}")
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resp.raise_for_status()
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return resp.json()
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async def blog_publish(post_id: int, url: str = "") -> Dict[str, Any]:
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resp = await _client.post(
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f"{BLOG_LAB_URL}/api/blog-marketing/posts/{post_id}/publish",
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json={"url": url},
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)
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resp.raise_for_status()
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return resp.json()
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async def blog_get_post(post_id: int) -> Dict[str, Any]:
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resp = await _client.get(f"{BLOG_LAB_URL}/api/blog-marketing/posts/{post_id}")
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resp.raise_for_status()
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return resp.json()
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# --- realestate-lab ---
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async def realestate_collect() -> Dict[str, Any]:
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"""청약 공고 수동 수집 트리거"""
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async with httpx.AsyncClient(timeout=120.0) as client:
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resp = await client.post(f"{REALESTATE_LAB_URL}/api/realestate/collect")
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resp.raise_for_status()
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return resp.json()
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async def realestate_matches(limit: int = 20) -> List[Dict[str, Any]]:
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resp = await _client.get(
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f"{REALESTATE_LAB_URL}/api/realestate/matches",
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params={"limit": limit, "unread_only": True},
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)
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resp.raise_for_status()
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data = resp.json()
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return data if isinstance(data, list) else data.get("matches", [])
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async def realestate_dashboard() -> Dict[str, Any]:
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resp = await _client.get(f"{REALESTATE_LAB_URL}/api/realestate/dashboard")
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resp.raise_for_status()
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return resp.json()
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async def realestate_mark_read(match_id: int) -> Dict[str, Any]:
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resp = await _client.patch(f"{REALESTATE_LAB_URL}/api/realestate/matches/{match_id}/read")
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resp.raise_for_status()
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return resp.json()
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