DARPEngine

from pathlib import Path from pydantic_settings import BaseSettings from pydantic_settings import SettingsConfigDict class Settings(BaseSettings): model_config = SettingsConfigDict(extra="ignore", env_ignore_empty=True) postgres_user: str postgres_db: str postgres_password: str postgres_host: str postgres_port: int = 5432 db_pool_size: int = 50 db_max_overflow: int = 25 log_dir: Path = Path("logs") llm_proxy: str | None = None openai_api_key: str llm_model: str = "openai/gpt-4o-mini" openai_base_url: str = "https://openrouter.ai/api/v1" worker_topic: str = "deployment" deployment_server: str = "" deployment_network: str = "" broker_url: str = "portal_kafka:19092" dockerhub_login: str = "" dockerhub_password: str = "" registry_url: str = "http://registry/" healthcheck_running_interval: int = 3600 tool_retry_count: int = 60 tool_wait_interval: int = 5 deep_research_server_name: str = "deepresearch_darpserver" @property def database_url(self) -> str: auth_data = f"{self.postgres_user}:{self.postgres_password}" host = f"{self.postgres_host}:{self.postgres_port}" return f"{auth_data}@{host}/{self.postgres_db}" @property def database_url_sync(self) -> str: return f"postgresql+psycopg2://{self.database_url}" @property def database_url_async(self) -> str: return f"postgresql+asyncpg://{self.database_url}" settings = Settings()