#2869 - Changes to AbstractAgent to address some pydantic issues

docs/source/how_to_guides/extensible_agents.rst

@@ -42,7 +42,6 @@ AbstractAgent
 
     Configurable items within a new agent within PrimAITE should contain a ``ConfigSchema`` which holds all configurable variables of the agent. This should not include parameters related to its *state*.
 
-
     .. code-block:: python
 
         class ExampleAgent(AbstractAgent, identifier = "example_agent"):
@@ -63,7 +62,7 @@ AbstractAgent
 
 #. **identifier**:
 
-    All agent classes should have a unique ``identifier`` attribute, for when they are added to the base ``AbstractAgent`` registry. PrimAITE notation is for these to be written in snake_case
+    All agent classes should have a ``identifier`` attribute, a unique snake_case string, for when they are added to the base ``AbstractAgent`` registry.
 
 Changes to YAML file
 ====================

src/primaite/game/agent/agent_log.py

@@ -4,7 +4,6 @@ from pathlib import Path
 from typing import Optional
 
 from prettytable import MARKDOWN, PrettyTable
-from pydantic import BaseModel
 
 from primaite.simulator import LogLevel, SIM_OUTPUT
 
@@ -20,28 +19,23 @@ class _NotJSONFilter(logging.Filter):
         return not record.getMessage().startswith("{") and not record.getMessage().endswith("}")
 
 
-class AgentLog(BaseModel):
+class AgentLog:
     """
     A Agent Log class is a simple logger dedicated to managing and writing logging updates and information for an agent.
 
     Each log message is written to a file located at: <simulation output directory>/agent_name/agent_name.log
     """
 
-    agent_name: str = "unnamed_agent"
-    current_episode: int = 1
-    current_timestep: int = 0
-    logger: logging
-
     def __init__(self, agent_name: Optional[str]):
         """
         Constructs a Agent Log instance for a given hostname.
 
-        :param hostname: The hostname associated with the system logs being recorded.
+        :param agent_name: The agent_name associated with the system logs being recorded.
         """
         super().__init__()
-        self.agent_name = agent_name or "unnamed_agent"
-        # self.current_episode: int = 1
-        # self.current_timestep: int = 0
+        self.agent_name = agent_name if agent_name else "unnamed_agent"
+        self.current_timestep: int = 0
+        self.current_episode: int = 0
         self.setup_logger()
 
     @property

src/primaite/game/agent/interface.py

@@ -2,7 +2,7 @@
 """Interface for agents."""
 from __future__ import annotations
 
-from abc import ABC, abstractmethod
+from abc import abstractmethod
 from typing import Any, ClassVar, Dict, List, Optional, Tuple, Type, TYPE_CHECKING, Union
 
 from gymnasium.core import ActType, ObsType
@@ -92,14 +92,12 @@ class AgentSettings(BaseModel):
         return cls(**config)
 
 
-class AbstractAgent(BaseModel, ABC, identifier="Abstract_Agent"):
+class AbstractAgent(BaseModel, identifier="Abstract_Agent"):
     """Base class for scripted and RL agents."""
 
     _registry: ClassVar[Dict[str, Type[AbstractAgent]]] = {}
 
     config: "AbstractAgent.ConfigSchema"
-    agent_name: str = "Abstact_Agent"
-    logger: AgentLog = AgentLog(agent_name)
 
     class ConfigSchema(BaseModel):
         """
@@ -117,11 +115,13 @@ class AbstractAgent(BaseModel, ABC, identifier="Abstract_Agent"):
         :type agent_settings: Optional[AgentSettings]
         """
 
+        agent_name: str = "Abstract_Agent"
         history: List[AgentHistoryItem] = []
-        action_manager: Optional[ActionManager] = None
-        observation_manager: Optional[ObservationManager] = None
-        reward_function: Optional[RewardFunction] = None
-        agent_settings: Optional[AgentSettings] = None
+        _logger: AgentLog = AgentLog(agent_name=agent_name)
+        _action_manager: Optional[ActionManager] = None
+        _observation_manager: Optional[ObservationManager] = None
+        _reward_function: Optional[RewardFunction] = None
+        _agent_settings: Optional[AgentSettings] = None
 
     def __init_subclass__(cls, identifier: str, **kwargs: Any) -> None:
         super().__init_subclass__(**kwargs)
@@ -132,22 +132,22 @@ class AbstractAgent(BaseModel, ABC, identifier="Abstract_Agent"):
     @property
     def logger(self) -> AgentLog:
         """Return the AgentLog."""
-        return self.config.logger
+        return self.config._logger
 
     @property
     def observation_manager(self) -> ObservationManager:
         """Returns the agents observation manager."""
-        return self.config.observation_manager
+        return self.config._observation_manager
 
     @property
     def action_manager(self) -> ActionManager:
         """Returns the agents action manager."""
-        return self.config.action_manager
+        return self.config._action_manager
 
     @property
     def reward_function(self) -> RewardFunction:
         """Returns the agents reward function."""
-        return self.config.reward_function
+        return self.config._reward_function
 
     @classmethod
     def from_config(cls, config: Dict) -> "AbstractAgent":

src/primaite/game/agent/scripted_agents/data_manipulation_bot.py

@@ -42,11 +42,11 @@ class DataManipulationAgent(AbstractTAPAgent, identifier="Data_Manipulation_Agen
         :rtype: Tuple[str, Dict]
         """
         if timestep < self.next_execution_timestep:
-            self.config.logger.debug(msg="Performing do nothing action")
+            self.logger.debug(msg="Performing do nothing action")
             return "do_nothing", {}
 
-        self._set_next_execution_timestep(timestep + self.config.agent_settings.start_settings.frequency)
-        self.config.logger.info(msg="Performing a data manipulation attack!")
+        self._set_next_execution_timestep(timestep + self.config._agent_settings.start_settings.frequency)
+        self.logger.info(msg="Performing a data manipulation attack!")
         return "node_application_execute", {
             "node_name": self.config.starting_node_name,
             "application_name": self.config.starting_application_name,
@@ -55,4 +55,4 @@ class DataManipulationAgent(AbstractTAPAgent, identifier="Data_Manipulation_Agen
     def setup_agent(self) -> None:
         """Set the next execution timestep when the episode resets."""
         self._select_start_node()
-        self._set_next_execution_timestep(self.config.agent_settings.start_settings.start_step)
+        self._set_next_execution_timestep(self.config._agent_settings.start_settings.start_step)