import importlib from functools import lru_cache from typing import TypeVar T = TypeVar('T') def import_from(qual_name: str): """Import a value from its fully qualified name. This function is a utility to dynamically import any Python value (class, function, variable) from its fully qualified name. For example, 'openhands.server.user_auth.UserAuth' would import the UserAuth class from the openhands.server.user_auth module. Args: qual_name: A fully qualified name in the format 'module.submodule.name' e.g. 'openhands.server.user_auth.UserAuth' Returns: The imported value (class, function, or variable) Example: >>> UserAuth = import_from('openhands.server.user_auth.UserAuth') >>> auth = UserAuth() """ parts = qual_name.split('.') module_name = '.'.join(parts[:-1]) module = importlib.import_module(module_name) result = getattr(module, parts[-1]) return result @lru_cache() def get_impl(cls: type[T], impl_name: str | None) -> type[T]: """Import and validate a named implementation of a base class. This function is an extensibility mechanism in OpenHands that allows runtime substitution of implementations. It enables applications to customize behavior by providing their own implementations of OpenHands base classes. The function ensures type safety by validating that the imported class is either the same as or a subclass of the specified base class. Args: cls: The base class that defines the interface impl_name: Fully qualified name of the implementation class, or None to use the base class e.g. 'openhands.server.conversation_manager.StandaloneConversationManager' Returns: The implementation class, which is guaranteed to be a subclass of cls Example: >>> # Get default implementation >>> ConversationManager = get_impl(ConversationManager, None) >>> # Get custom implementation >>> CustomManager = get_impl(ConversationManager, 'myapp.CustomConversationManager') Common Use Cases: - Server components (ConversationManager, UserAuth, etc.) - Storage implementations (ConversationStore, SettingsStore, etc.) - Service integrations (GitHub, GitLab services) The implementation is cached to avoid repeated imports of the same class. """ if impl_name is None: return cls impl_class = import_from(impl_name) assert cls == impl_class or issubclass(impl_class, cls) return impl_class