랭그래프 활용한 주식 정보 도출 프로젝트

- yahooquery, ta 라이브러리 활용
This commit is contained in:
2026-06-18 17:48:31 +09:00
parent 5f5edb1e6d
commit 3be7886bfe
20 changed files with 559 additions and 0 deletions
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# 디폴트 무시된 파일
/shelf/
/workspace.xml
# 에디터 기반 HTTP 클라이언트 요청
/httpRequests/
# 쿼리 파일을 포함한 무시된 디폴트 폴더
/queries/
# Datasource local storage ignored files
/dataSources/
/dataSources.local.xml
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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$">
<excludeFolder url="file://$MODULE_DIR$/.venv" />
</content>
<orderEntry type="jdk" jdkName="~/Source/project/STOCK_APP/.venv" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
<component name="PackageRequirementsSettings" />
<component name="PyDocumentationSettings" />
<component name="ReSTService" />
<component name="TestRunnerService" />
</module>
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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/STOCK_APP.iml" filepath="$PROJECT_DIR$/.idea/STOCK_APP.iml" />
</modules>
</component>
</project>
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="PyToolsState">
<option name="tools">
<map>
<entry key="black">
<value>
<ToolEntry />
</value>
</entry>
<entry key="pyrefly">
<value>
<ToolEntry />
</value>
</entry>
<entry key="pyright">
<value>
<ToolEntry />
</value>
</entry>
<entry key="ruff">
<value>
<ToolEntry />
</value>
</entry>
<entry key="ty">
<value>
<ToolEntry />
</value>
</entry>
</map>
</option>
</component>
</project>
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="$PROJECT_DIR$/../.." vcs="Git" />
</component>
</project>
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from langchain_ibm import WatsonxEmbeddings
from backend.config.settings import settings
watson_embedding = WatsonxEmbeddings(
model_id="ibm/granite-embedding-278m-multilingual",
url=f"{settings.watsonx_url}",
api_key=f"{settings.watsonx_api_key}",
project_id=f"{settings.watsonx_project_id}",
)
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from langchain_ibm import ChatWatsonx
from backend.config.settings import settings
from langchain_openai import ChatOpenAI
watson_llm = ChatWatsonx(
model_id="ibm/granite-4-h-small",
url=f"{settings.watsonx_url}",
api_key=f"{settings.watsonx_api_key}",
project_id=f"{settings.watsonx_project_id}",
max_tokens=2000,
)
hugging_llm = ChatOpenAI(
base_url="https://router.huggingface.co/v1",
api_key=f"{settings.hf_token}",
model_name="Qwen/Qwen3-8B:nscale",
)
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from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
model_config = SettingsConfigDict(env_file="backend/.env", extra="ignore")
# 사용할 모델
watsonx_api_key: str = Field(alias="WATSONX_API_KEY")
watsonx_project_id: str = Field(alias="WATSONX_PROJECT_ID")
watsonx_url: str = Field(alias="WATSONX_URL")
hf_token: str = Field(alias="HF_TOKEN")
settings = Settings()
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from backend.services.news_service import get_news
from backend.services.financial_service import get_financial_info
from backend.services.technical_service import get_technical_info
async def news_node(state):
news_list = await get_news(state["company_name"])
return {"news": news_list}
async def financial_node(state):
financials = await get_financial_info(state["ticker"])
return {"financials": financials}
async def technical_node(state):
technicals = await get_technical_info(state["ticker"])
return {"technicals": technicals}
async def competitor_node(state):
pass
async def report_node(state):
pass
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from typing import TypedDict
class StockAnalysis(TypedDict):
query:str
ticker:str
company_name:str
new:list
financials:dict
technicals:dict
competitors:list
report:str
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from fastapi import FastAPI
from starlette.staticfiles import StaticFiles
from contextlib import asynccontextmanager
from backend.routers.stock_router import router as stock_router
# from backend.repository.db_init import Base, SessionLocal, engine
#
# from backend.routers.evalu_router import router as evalu_router
# from backend.routers.assistant_router import router as assistant_router
# from backend.routers.call_router import router as call_router
# from backend.repository.seed import seed_customers
# @asynccontextmanager
# async def lifespan(app: FastAPI):
# print("서버 시작")
#
# # Base 에 등록된 모든 모델에 테이블 자동 생성
# Base.metadata.create_all(bind=engine)
# print("[DB] 테이블 생성 완료 (또는 이미 존재)")
#
# db = SessionLocal()
# try:
# # 기본 user 데이터 삽입
# seed_customers(db)
# finally:
# db.close()
#
# yield
# print("서버 종료")
# app = FastAPI()
# app = FastAPI(title="상담 LLM", version="1.0", lifespan=lifespan)
app = FastAPI(title="$ Stock AI", version="1.0", description="""
#### $주식 AI 분석 FastAPI + LangGraph + yfinance + ChromaDB
### 주요 기능
| 번호 | 기능 | 엔드포인트 |
| --- | --- | --- |
|1 | 기업 종합 분석 | 'POST /api/stock/analysis'
""",
)
# static 폴더 지정
# app.mount("/static", StaticFiles(directory="backend/static"), name="static")
# 라우터 등록
app.include_router(stock_router)
# app.include_router(assistant_router)
# app.include_router(evalu_router)
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from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from backend.schemas.stock_schemas import StockAnalyzeReq
from backend.services.stock_service import StockService
router = APIRouter(prefix="/api/stock", tags=["기헙종합분석"])
@router.post("/analyze", summary="기업 종합 분석", description="자연어로 해당기업을 요청하면 뉴스, 재무, 기술적, 경쟁사 분석을 수행합니다.", )
async def stock_analyze(req:StockAnalyzeReq):
service = StockService()
return await service._extract(req.query)
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from pydantic import BaseModel
class NewsItem(BaseModel):
title: str
snippet: str
url: str
source: str
date: str
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from pydantic import BaseModel
class StockAnalyzeReq(BaseModel):
query: str
class TickerInfo(BaseModel):
ticker: str
company_name: str
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import yahooquery as yf
async def get_financial_info(ticker: str):
"""
yfinance api 이용
"""
company = yf.Ticker(ticker)
info = company.info
income = company.income_stmtf
balance = company.balance_sheet
cashflow = company.cash_flow
return {
# 시가 총액
"market_cap":info.get("marketCap"),
# 현재 주가
"current_price":info.get("currentPrice"),
# 매출
"revenue":income.loc["Total Revenue"].iloc[0],
# 손익계산
"operating_income":income.loc["Operating Income"].iloc[0],
# 순이익
"net_income":income.loc["Net Income"].iloc[0],
# 총자산
"total_assets":balance.loc["Total Assets"].iloc[0],
# 총부채
"total_debt":balance.loc["Total Debt"].iloc[0],
# 현금흐름
"free_cash_flow":cashflow.loc["Free Cash Flow"].iloc[0],
# per
"pe_ratio":info.get("trailingPE"),
# pbr
"pb_ratio":info.get("priceToBook")
}
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from langchain_community.utilities import GoogleSerperAPIWrapper
from backend.schemas.news_schemas import NewsItem
async def get_news(company_name: str):
"""
구글 뉴스 검색 후
title, snippet, url, source, date 추출
"""
search = GoogleSerperAPIWrapper(type="news")
results = await search.results(f"{company_name} stock news")
news_list = []
for item in results['news'][:10]:
news_list.append(
NewsItem(
title=item.get("title", ""),
snippet=item.get("snippet", ""),
url=item.get("link", ""),
source=item.get("source", ""),
date=item.get("date", "")
)
)
return news_list
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from backend.schemas.stock_schemas import TickerInfo
import yahooquery as yq
from fastapi import HTTPException
COMPANY_MAP = {
"NVDA": {
"company_name": "NVIDIA",
"aliases": ["엔비디아", "nvidia", "nvda"],
},
"AAPL": {
"company_name": "Apple",
"aliases": ["애플", "apple", "aapl"],
},
"MSFT": {
"company_name": "Microsoft",
"aliases": ["마이크로소프트", "microsoft", "msft"],
},
"TSLA": {
"company_name": "Tesla",
"aliases": ["테슬라", "tesla", "tsla"],
},
"GOOGL": {
"company_name": "Alphabet (Google)",
"aliases": ["구글", "google", "알파벳", "alphabet", "googl"],
},
"AMZN": {
"company_name": "Amazon",
"aliases": ["아마존", "amazon", "amzn"],
},
"META": {
"company_name": "Meta Platforms",
"aliases": ["메타", "meta", "페이스북", "facebook", "fb"],
},
"AMD": {
"company_name": "Advanced Micro Devices",
"aliases": ["amd"],
},
"INTC": {
"company_name": "Intel",
"aliases": ["인텔", "intel", "intc"],
},
"TSM": {
"company_name": "TSMC",
"aliases": ["tsmc", "tsm", "대만반도체"],
},
"QCOM": {
"company_name": "Qualcomm",
"aliases": ["퀄컴", "qualcomm", "qcom"],
},
"AVGO": {
"company_name": "Broadcom",
"aliases": ["브로드컴", "broadcom", "avgo"],
},
"MU": {
"company_name": "Micron Technology",
"aliases": ["마이크론", "micron", "mu"],
},
"V": {
"company_name": "Visa",
"aliases": ["비자", "visa", "v"],
},
"MA": {
"company_name": "Mastercard",
"aliases": ["마스터카드", "mastercard", "ma"],
},
"JPM": {
"company_name": "JPMorgan Chase",
"aliases": ["jp모건", "jpmorgan", "jpm"],
},
"JNJ": {
"company_name": "Johnson & Johnson",
"aliases": ["존슨앤존슨", "johnson", "jnj"],
},
"MSFT": {
"company_name": "Microsoft",
"aliases": ["마이크로소프트", "microsoft", "msft"],
},
}
class StockService:
"""주식 분석"""
async def _extract(self, query: str):
"""
사용자 쿼리에서 티커와 회사명 추출
1차 : Map 이용
2차 : yahooquery 이용
query : 엔비디아 분석해줘
"""
keyword = self._extract_company_keyword(query)
# 1 차 Map
result = self._extract_ticker_from_query(keyword)
if result:
return result
# 2 차 yahooquery
result = await self._search_yahoo_symbol(keyword)
if result:
return result
raise HTTPException(status_code=30000, detail="종목을 찾을 수 없습니다.")
def _extract_ticker_from_query(self, query:str):
"""
COMPANY_MAP 안에서 일치하는 회사 찾기
"""
query = query.lower()
for ticker, info in COMPANY_MAP.items():
for alias in info["aliases"]:
if alias.lower() in query:
return TickerInfo(ticker = ticker, company_name = info["company_name"])
def _extract_company_keyword(self, query:str):
"""
query : 엔비디아 분석해줘
=> 필요없는 문장 제거한 후 키워드만 추출
"""
stop_words = [
"분석해줘", "분석해", "분석", "해줘", "", "주가", "전망", "재무", "알려줘", "어때", "어떻게", ""
]
keyword = query
for word in stop_words:
keyword = keyword.replace(word, "")
return keyword.strip()
async def _search_yahoo_symbol(self, keyword: str):
"""
yahooquery 이용
"""
try:
result = yq.search(keyword, first_quote=True)
if not result or (isinstance(result, dict) and "explanation" in result):
return None
return TickerInfo(ticker=result["symbol"], company_name=result["longname"])
except Exception:
return None
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import yahooquery as yf
from ta.trend import MACD, SMAIndicator
from ta.momentum import RSIIndicator
async def get_technical_info(ticker: str):
"""
yfinance, ta api 이용
"""
# 주가 데이터 다운로드
df = yf.download(ticker, period="1y", interval="1d")
# 종가 가져오기
close = df['Close'].squeeze()
macd = MACD(close)
macd_value = float(macd.macd().iloc[-1])
signal_value = float(macd.macd_signal().iloc[-1])
trend = "bullish" if macd_value > signal_value else "bearish"
return {
# 현재 주가
"current_price":close.iloc[-1],
# 20 일선
"sma20":float(SMAIndicator(close, window=20).sma_indicator().iloc[-1]),
# 60 일선
"sma60":float(SMAIndicator(close, window=60).sma_indicator().iloc[-1]),
# rsi
"rsi":float(SMAIndicator(close, window=14).rsi().iloc[-1]),
# macd
"macd":macd.macd(),
# macd_signal
"macd_signal": signal_value,
# trend
"trend": trend,
}
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COMPANY_MAP = {
"NVDA": {
"company_name": "NVIDIA",
"aliases": ["엔비디아", "nvidia", "nvda"],
},
"AAPL": {
"company_name": "Apple",
"aliases": ["애플", "apple", "aapl"],
},
"MSFT": {
"company_name": "Microsoft",
"aliases": ["마이크로소프트", "microsoft", "msft"],
},
"TSLA": {
"company_name": "Tesla",
"aliases": ["테슬라", "tesla", "tsla"],
},
"GOOGL": {
"company_name": "Alphabet (Google)",
"aliases": ["구글", "google", "알파벳", "alphabet", "googl"],
},
"AMZN": {
"company_name": "Amazon",
"aliases": ["아마존", "amazon", "amzn"],
},
"META": {
"company_name": "Meta Platforms",
"aliases": ["메타", "meta", "페이스북", "facebook", "fb"],
},
"AMD": {
"company_name": "Advanced Micro Devices",
"aliases": ["amd"],
},
"INTC": {
"company_name": "Intel",
"aliases": ["인텔", "intel", "intc"],
},
"TSM": {
"company_name": "TSMC",
"aliases": ["tsmc", "tsm", "대만반도체"],
},
"QCOM": {
"company_name": "Qualcomm",
"aliases": ["퀄컴", "qualcomm", "qcom"],
},
"AVGO": {
"company_name": "Broadcom",
"aliases": ["브로드컴", "broadcom", "avgo"],
},
"MU": {
"company_name": "Micron Technology",
"aliases": ["마이크론", "micron", "mu"],
},
"V": {
"company_name": "Visa",
"aliases": ["비자", "visa", "v"],
},
"MA": {
"company_name": "Mastercard",
"aliases": ["마스터카드", "mastercard", "ma"],
},
"JPM": {
"company_name": "JPMorgan Chase",
"aliases": ["jp모건", "jpmorgan", "jpm"],
},
"JNJ": {
"company_name": "Johnson & Johnson",
"aliases": ["존슨앤존슨", "johnson", "jnj"],
},
"MSFT": {
"company_name": "Microsoft",
"aliases": ["마이크로소프트", "microsoft", "msft"],
},
}
COMPETITOR_MAP = {
"NVDA": ["AMD", "INTC", "TSM", "AVGO"],
"AMD": ["NVDA", "INTC", "TSM"],
"TSLA": ["RIVN", "GM", "F"],
"AAPL": ["MSFT", "GOOGL", "AMZN"],
"MSFT": ["AAPL", "GOOGL", "AMZN"],
"GOOGL": ["MSFT", "META", "AMZN"],
}