IRIS Legacy

""" IRIS Configuration Settings Centralized configuration management using Pydantic settings. All settings are loaded from environment variables. """ from typing import Optional from pydantic_settings import BaseSettings, SettingsConfigDict class Settings(BaseSettings): """Main application settings container""" model_config = SettingsConfigDict( env_file="/app/.env", env_file_encoding="utf-8", extra="ignore" ) # Database (PostgreSQL - for future use) database_url: str # Redis (Primary storage for conversations) redis_url: str redis_host: str = "localhost" redis_port: int = 6379 redis_db: int = 0 redis_password: Optional[str] = None redis_max_connections: int = 20 # Redis TTL Settings conversation_ttl: int = 86400 # 24 hours context_ttl: int = 3600 # 1 hour session_ttl: int = 7200 # 2 hours # Telegram telegram_bot_token: str telegram_webhook_url: Optional[str] = None # LLM openai_api_key: Optional[str] = None anthropic_api_key: Optional[str] = None llm_provider: str = "openai" # Web Search tavily_api_key: Optional[str] = None # Security (optional for now - will be required for production) jwt_secret_key: Optional[str] = None jwt_algorithm: str = "HS256" jwt_expiration_hours: int = 24 # Application debug: bool = False log_level: str = "INFO" environment: str = "development" # Document Storage document_storage_path: str = "./data/documents" document_retention_days: int = 90 @property def TELEGRAM_BOT_TOKEN(self) -> str: """Compatibility property for telegram bot token""" return self.telegram_bot_token # Global settings instance settings = Settings()