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e5c2788 054d73a bc45e54 054d73a bc45e54 054d73a bc45e54 054d73a bc45e54 054d73a bc45e54 054d73a bc45e54 054d73a bc45e54 054d73a bc45e54 054d73a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | """Configuration management for ClassLens backend."""
from __future__ import annotations
import os
from pathlib import Path
from functools import lru_cache
from dotenv import load_dotenv
from pydantic import BaseModel
# Load .env file — try project root first, then chatkit/
_root = Path(__file__).parent.parent.parent.parent # hf-classlens-deploy/
_chatkit = Path(__file__).parent.parent.parent # chatkit/
load_dotenv(_root / ".env")
load_dotenv(_chatkit / ".env") # overrides root if both exist
class Settings(BaseModel):
"""Application settings loaded from environment variables."""
# OpenAI (single key for both vision parsing and report generation)
openai_api_key: str = ""
# JWT Auth
jwt_secret_key: str = ""
jwt_algorithm: str = "HS256"
jwt_expire_minutes: int = 1440 # 24 hours
# Database
database_path: str = "" # auto-resolved if empty
# Encryption key for sensitive data
encryption_key: str = ""
# File upload
upload_dir: str = "" # auto-resolved if empty
max_file_size_mb: int = 20
# Frontend URL for redirects
frontend_url: str = "http://localhost:3000"
class Config:
env_file = ".env"
@lru_cache
def get_settings() -> Settings:
"""Get cached settings instance."""
return Settings(
openai_api_key=os.getenv("OPENAI_API_KEY", ""),
jwt_secret_key=os.getenv("JWT_SECRET_KEY", "classlens-dev-secret-change-in-prod"),
jwt_algorithm=os.getenv("JWT_ALGORITHM", "HS256"),
jwt_expire_minutes=int(os.getenv("JWT_EXPIRE_MINUTES", "1440")),
database_path=os.getenv("DATABASE_PATH", ""),
encryption_key=os.getenv("ENCRYPTION_KEY", ""),
upload_dir=os.getenv("UPLOAD_DIR", ""),
max_file_size_mb=int(os.getenv("MAX_FILE_SIZE_MB", "20")),
frontend_url=os.getenv("FRONTEND_URL", "http://localhost:3000"),
)
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