# © Crown-owned copyright 2025, Defence Science and Technology Laboratory UK from __future__ import annotations import random from abc import abstractmethod from typing import Dict, Optional, Tuple from gymnasium.core import ObsType from pydantic import Field from primaite.game.agent.interface import AbstractScriptedAgent __all__ = "AbstractTAPAgent" class AbstractTAPAgent(AbstractScriptedAgent, identifier="AbstractTAP"): """Base class for TAP agents to inherit from.""" config: "AbstractTAPAgent.ConfigSchema" = Field(default_factory=lambda: AbstractTAPAgent.ConfigSchema()) next_execution_timestep: int = 0 class ConfigSchema(AbstractScriptedAgent.ConfigSchema): """Configuration schema for Abstract TAP agents.""" type: str = "AbstractTAP" starting_node_name: Optional[str] = None @abstractmethod def get_action(self, obs: ObsType, timestep: int = 0) -> Tuple[str, Dict]: """Return an action to be taken in the environment.""" return super().get_action(obs=obs, timestep=timestep) @abstractmethod def setup_agent(self) -> None: """Set up agent.""" pass def _set_next_execution_timestep(self, timestep: int) -> None: """Set the next execution timestep with a configured random variance. :param timestep: The timestep to add variance to. """ random_timestep_increment = random.randint(-self.config.variance, self.config.variance) self.next_execution_timestep = timestep + random_timestep_increment def _select_start_node(self) -> None: """Set the starting starting node of the agent to be a random node from this agent's action manager.""" # we are assuming that every node in the node manager has a data manipulation application at idx 0 num_nodes = len(self.action_manager.node_names) starting_node_idx = random.randint(0, num_nodes - 1) self.config.starting_node_name = self.action_manager.node_names[starting_node_idx] self.logger.debug(f"Selected starting node: {self.config.starting_node_name}")