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e9e03e1ff8
- ai-python: FastAPI 기반 AI 서비스 구현 - 실시간 회의 제안 기능 추가 - Claude API 통합 - EventHub 및 Redis 연동 - ai-java-back: 기존 Java AI 서비스 백업 디렉토리로 이동 - Spring Boot 기반 구현 보존 - ai 디렉토리: Java 서비스 파일 삭제 처리 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
"""환경 설정"""
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from pydantic_settings import BaseSettings
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from functools import lru_cache
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from typing import List
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class Settings(BaseSettings):
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"""환경 설정 클래스"""
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# 서버 설정
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app_name: str = "AI Service (Python)"
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host: str = "0.0.0.0"
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port: int = 8087
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# Claude API
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claude_api_key: str = "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"
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claude_model: str = "claude-sonnet-4-5-20250929"
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claude_max_tokens: int = 4096
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claude_temperature: float = 0.7
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# Redis
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redis_host: str = "20.249.177.114"
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redis_port: int = 6379
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redis_password: str = ""
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redis_db: int = 4
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# Azure Event Hub
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eventhub_connection_string: str = "Endpoint=sb://hgzero-eventhub-ns.servicebus.windows.net/;SharedAccessKeyName=RootManageSharedAccessKey;SharedAccessKey=VUqZ9vFgu35E3c6RiUzoOGVUP8IZpFvlV+AEhC6sUpo="
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eventhub_name: str = "hgzero-eventhub-name"
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eventhub_consumer_group: str = "ai-transcript-group"
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# CORS
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cors_origins: List[str] = [
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"http://localhost:8888",
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"http://localhost:8080",
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"http://localhost:3000",
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"http://127.0.0.1:8888",
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"http://127.0.0.1:8080",
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"http://127.0.0.1:3000"
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]
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# 로깅
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log_level: str = "INFO"
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# 분석 임계값 (충분한 맥락 확보)
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min_segments_for_analysis: int = 4 # 4개 세그먼트 (약 60초, 제안사항 추출에 충분한 맥락)
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text_retention_seconds: int = 300 # 5분
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class Config:
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env_file = ".env"
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case_sensitive = False
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@lru_cache()
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def get_settings() -> Settings:
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"""싱글톤 설정 인스턴스"""
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return Settings()
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