131dbd7b7c
동작하는 최소 코드 수준의 v2 스캐폴딩: - docker-compose.yml: postgres, fastapi, kordoc, frontend, caddy - app/: FastAPI 백엔드 (main, core, models, ai, prompts) - services/kordoc/: Node.js 문서 파싱 마이크로서비스 - gpu-server/: AI Gateway + GPU docker-compose - frontend/: SvelteKit 기본 구조 - migrations/: PostgreSQL 초기 스키마 (documents, tasks, processing_queue) - tests/: pytest conftest 기본 설정 - config.yaml, Caddyfile, credentials.env.example 갱신 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
94 lines
2.5 KiB
Python
94 lines
2.5 KiB
Python
"""설정 로딩 — config.yaml + credentials.env"""
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import os
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from pathlib import Path
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import yaml
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from pydantic import BaseModel
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class AIModelConfig(BaseModel):
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endpoint: str
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model: str
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max_tokens: int = 4096
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timeout: int = 60
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daily_budget_usd: float | None = None
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require_explicit_trigger: bool = False
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class AIConfig(BaseModel):
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gateway_endpoint: str
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primary: AIModelConfig
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fallback: AIModelConfig
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premium: AIModelConfig
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embedding: AIModelConfig
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vision: AIModelConfig
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rerank: AIModelConfig
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class Settings(BaseModel):
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# DB
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database_url: str = ""
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# AI
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ai: AIConfig | None = None
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# NAS
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nas_mount_path: str = "/documents"
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nas_pkm_root: str = "/documents/PKM"
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# 인증
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jwt_secret: str = ""
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totp_secret: str = ""
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# kordoc
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kordoc_endpoint: str = "http://kordoc-service:3100"
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def load_settings() -> Settings:
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"""config.yaml + 환경변수에서 설정 로딩"""
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# 환경변수 (docker-compose에서 주입)
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database_url = os.getenv("DATABASE_URL", "")
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jwt_secret = os.getenv("JWT_SECRET", "")
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totp_secret = os.getenv("TOTP_SECRET", "")
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kordoc_endpoint = os.getenv("KORDOC_ENDPOINT", "http://kordoc-service:3100")
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# config.yaml
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config_path = Path(__file__).parent.parent.parent / "config.yaml"
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ai_config = None
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nas_mount = "/documents"
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nas_pkm = "/documents/PKM"
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if config_path.exists():
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with open(config_path) as f:
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raw = yaml.safe_load(f)
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if "ai" in raw:
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ai_raw = raw["ai"]
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ai_config = AIConfig(
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gateway_endpoint=ai_raw.get("gateway", {}).get("endpoint", ""),
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primary=AIModelConfig(**ai_raw["models"]["primary"]),
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fallback=AIModelConfig(**ai_raw["models"]["fallback"]),
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premium=AIModelConfig(**ai_raw["models"]["premium"]),
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embedding=AIModelConfig(**ai_raw["models"]["embedding"]),
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vision=AIModelConfig(**ai_raw["models"]["vision"]),
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rerank=AIModelConfig(**ai_raw["models"]["rerank"]),
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)
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if "nas" in raw:
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nas_mount = raw["nas"].get("mount_path", nas_mount)
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nas_pkm = raw["nas"].get("pkm_root", nas_pkm)
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return Settings(
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database_url=database_url,
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ai=ai_config,
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nas_mount_path=nas_mount,
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nas_pkm_root=nas_pkm,
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jwt_secret=jwt_secret,
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totp_secret=totp_secret,
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kordoc_endpoint=kordoc_endpoint,
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)
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settings = load_settings()
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