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Configuration management for the YouTube Notes AI application.
Uses Pydantic Settings for type-safe environment variable loading.
"""
import os
from pathlib import Path
from typing import Literal
from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
"""Application configuration settings loaded from environment variables."""
# Google Gemini API Configuration
google_api_key: str = Field(
...,
description="Google Gemini API key for note generation"
)
# Whisper Model Configuration
whisper_model_size: Literal["tiny", "base", "small", "medium", "large"] = Field(
default="base",
description="Whisper model size (larger = more accurate but slower)"
)
# Processing Limits
max_video_duration: int = Field(
default=7200,
description="Maximum video duration in seconds (2 hours default)"
)
# Output Configuration
output_format: Literal["markdown", "json"] = Field(
default="markdown",
description="Output format for generated notes"
)
output_dir: Path = Field(
default=Path("outputs"),
description="Directory for saving generated notes"
)
# Logging Configuration
log_level: str = Field(
default="INFO",
description="Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)"
)
log_file: str = Field(
default="app.log",
description="Log file path"
)
# API Configuration
api_host: str = Field(
default="0.0.0.0",
description="FastAPI host address"
)
api_port: int = Field(
default=8000,
description="FastAPI port number"
)
# Database Configuration
database_url: str = Field(
default="postgresql+asyncpg://postgres:password@localhost:5432/studynotes",
description="PostgreSQL database connection URL (use asyncpg driver)"
)
# Authentication Configuration
secret_key: str = Field(
default="your-secret-key-change-this-in-production-min-32-chars",
description="JWT secret key for token signing (MUST be changed in production)"
)
access_token_expire_minutes: int = Field(
default=60,
description="JWT token expiration time in minutes"
)
algorithm: str = Field(
default="HS256",
description="JWT signing algorithm"
)
# Temporary Files
temp_dir: Path = Field(
default=Path("temp"),
description="Directory for temporary files (audio, video)"
)
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
case_sensitive=False
)
def __init__(self, **kwargs):
"""Initialize settings and create necessary directories."""
super().__init__(**kwargs)
# Create directories if they don't exist
self.output_dir.mkdir(parents=True, exist_ok=True)
self.temp_dir.mkdir(parents=True, exist_ok=True)
# Global settings instance
settings = Settings()
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