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AI-powered safety analysis for K-pop merchandise trading

Project description

Trade Safety Backend

K-pop 굿즈 거래 안전성 AI 분석 Python 패키지

주요 기능

  • LLM 기반 거래글 분석
  • 다국어 지원 (한국어 번역 및 뉘앙스 설명)
  • 위험 신호 탐지 (결제, 판매자, 플랫폼, 가격, 콘텐츠)
  • 시장가 대비 가격 분석
  • Freemium 모델

설치

cd backend
poetry install

사용법

서비스 사용

from aioia_core.settings import OpenAIAPISettings
from trade_safety.service import TradeSafetyService
from trade_safety.settings import TradeSafetyModelSettings

openai_api = OpenAIAPISettings(api_key="sk-...")
model_settings = TradeSafetyModelSettings()
service = TradeSafetyService(
    openai_api=openai_api,
    model_settings=model_settings,
)

analysis = await service.analyze_trade("급처분 양도해요")
print(f"위험도: {analysis.risk_score}/100")

FastAPI 통합

from trade_safety.api.router import create_trade_safety_router

router = create_trade_safety_router(app_config)
app.include_router(router, prefix="/api/v2")

개발

poetry install
poetry run make test
poetry run make lint
poetry run make type-check
poetry run make format

환경 변수

변수명 필수 설명
OPENAI_API_KEY O OpenAI API 키
TWITTER_BEARER_TOKEN X Twitter/X URL 분석용 (미설정 시 URL 분석 불가)

의존성

  • aioia-core (공통 인프라)
  • FastAPI, SQLAlchemy, Pydantic
  • OpenAI API 키 필요

라이선스

Apache 2.0

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