#2716 Initial Implementation + Initial Tests and updated changelog and sphinx documentation.
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src/primaite/game/agent/agent_log.py
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168
src/primaite/game/agent/agent_log.py
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# © Crown-owned copyright 2024, Defence Science and Technology Laboratory UK
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import logging
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from pathlib import Path
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from prettytable import MARKDOWN, PrettyTable
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from primaite.simulator import LogLevel, SIM_OUTPUT
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class _NotJSONFilter(logging.Filter):
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def filter(self, record: logging.LogRecord) -> bool:
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"""
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Determines if a log message does not start and end with '{' and '}' (i.e., it is not a JSON-like message).
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:param record: LogRecord object containing all the information pertinent to the event being logged.
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:return: True if log message is not JSON-like, False otherwise.
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"""
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return not record.getMessage().startswith("{") and not record.getMessage().endswith("}")
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class AgentLog:
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"""
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A Agent Log class is a simple logger dedicated to managing and writing logging updates and information for an agent.
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Each log message is written to a file located at: <simulation output directory>/agent/agent_name.log
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"""
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def __init__(self, agent_name: str):
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"""
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Constructs a Agent Log instance for a given hostname.
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:param hostname: The hostname associated with the system logs being recorded.
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"""
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self.agent_name = agent_name
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self.current_episode: int = 1
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self.setup_logger()
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def setup_logger(self):
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"""
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Configures the logger for this Agent Log instance.
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The logger is set to the DEBUG level, and is equipped with a handler that writes to a file and filters out
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JSON-like messages.
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"""
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if not SIM_OUTPUT.save_agent_logs:
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return
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log_path = self._get_log_path()
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file_handler = logging.FileHandler(filename=log_path)
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file_handler.setLevel(logging.DEBUG)
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log_format = "%(timestep)s::%(levelname)s::%(message)s"
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file_handler.setFormatter(logging.Formatter(log_format))
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self.logger = logging.getLogger(f"{self.agent_name}_log")
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for handler in self.logger.handlers:
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self.logger.removeHandler(handler)
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self.logger.setLevel(logging.DEBUG)
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self.logger.addHandler(file_handler)
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def _get_log_path(self) -> Path:
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"""
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Constructs the path for the log file based on the hostname.
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:return: Path object representing the location of the log file.
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"""
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root = SIM_OUTPUT.path / f"episode_{self.current_episode}" / "agent_logs" / self.agent_name
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root.mkdir(exist_ok=True, parents=True)
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return root / f"{self.agent_name}.log"
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def _write_to_terminal(self, msg: str, timestep: int, level: str, to_terminal: bool = False):
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if to_terminal or SIM_OUTPUT.write_agent_log_to_terminal:
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print(f"{self.agent_name}: ({timestep}) ({level}) {msg}")
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def debug(self, msg: str, time_step: int, to_terminal: bool = False):
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"""
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Logs a message with the DEBUG level.
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:param msg: The message to be logged.
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:param to_terminal: If True, prints to the terminal too.
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"""
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if SIM_OUTPUT.agent_log_level > LogLevel.DEBUG:
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return
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if SIM_OUTPUT.save_agent_logs:
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self.logger.debug(msg, extra={"timestep": time_step})
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self._write_to_terminal(msg, "DEBUG", to_terminal)
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def info(self, msg: str, time_step: int, to_terminal: bool = False):
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"""
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Logs a message with the INFO level.
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:param msg: The message to be logged.
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:param timestep: The current timestep.
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:param to_terminal: If True, prints to the terminal too.
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"""
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if SIM_OUTPUT.agent_log_level > LogLevel.INFO:
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return
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if SIM_OUTPUT.save_agent_logs:
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self.logger.info(msg, extra={"timestep": time_step})
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self._write_to_terminal(msg, "INFO", to_terminal)
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def warning(self, msg: str, time_step: int, to_terminal: bool = False):
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"""
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Logs a message with the WARNING level.
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:param msg: The message to be logged.
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:param timestep: The current timestep.
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:param to_terminal: If True, prints to the terminal too.
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"""
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if SIM_OUTPUT.agent_log_level > LogLevel.WARNING:
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return
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if SIM_OUTPUT.save_agent_logs:
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self.logger.warning(msg, extra={"timestep": time_step})
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self._write_to_terminal(msg, "WARNING", to_terminal)
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def error(self, msg: str, time_step: int, to_terminal: bool = False):
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"""
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Logs a message with the ERROR level.
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:param msg: The message to be logged.
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:param timestep: The current timestep.
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:param to_terminal: If True, prints to the terminal too.
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"""
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if SIM_OUTPUT.agent_log_level > LogLevel.ERROR:
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return
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if SIM_OUTPUT.save_agent_logs:
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self.logger.error(msg, extra={"timestep": time_step})
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self._write_to_terminal(msg, "ERROR", to_terminal)
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def critical(self, msg: str, time_step: int, to_terminal: bool = False):
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"""
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Logs a message with the CRITICAL level.
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:param msg: The message to be logged.
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:param timestep: The current timestep.
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:param to_terminal: If True, prints to the terminal too.
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"""
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if LogLevel.CRITICAL < SIM_OUTPUT.agent_log_level:
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return
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if SIM_OUTPUT.save_agent_logs:
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self.logger.critical(msg, extra={"timestep": time_step})
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self._write_to_terminal(msg, "CRITICAL", to_terminal)
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def show(self, last_n: int = 10, markdown: bool = False):
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"""
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Print an Agents Log as a table.
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Generate and print PrettyTable instance that shows the agents behaviour log, with columns Time step,
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Level and Message.
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:param markdown: Use Markdown style in table output. Defaults to False.
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"""
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table = PrettyTable(["Time Step", "Level", "Message"])
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if markdown:
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table.set_style(MARKDOWN)
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table.align = "l"
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table.title = f"{self.agent_name} Behaviour Log"
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if self._get_log_path().exists():
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with open(self._get_log_path()) as file:
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lines = file.readlines()
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for line in lines[-last_n:]:
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table.add_row(line.strip().split("::"))
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print(table)
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@@ -7,6 +7,7 @@ from gymnasium.core import ActType, ObsType
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from pydantic import BaseModel, model_validator
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from primaite.game.agent.actions import ActionManager
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from primaite.game.agent.agent_log import AgentLog
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from primaite.game.agent.observations.observation_manager import ObservationManager
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from primaite.game.agent.rewards import RewardFunction
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from primaite.interface.request import RequestFormat, RequestResponse
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@@ -116,6 +117,7 @@ class AbstractAgent(ABC):
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self.reward_function: Optional[RewardFunction] = reward_function
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self.agent_settings = agent_settings or AgentSettings()
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self.history: List[AgentHistoryItem] = []
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self.logger = AgentLog(agent_name)
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def update_observation(self, state: Dict) -> ObsType:
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"""
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@@ -38,10 +38,11 @@ class DataManipulationAgent(AbstractScriptedAgent):
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:rtype: Tuple[str, Dict]
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"""
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if timestep < self.next_execution_timestep:
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self.logger.debug(msg="Performing do NOTHING", time_step=timestep)
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return "DONOTHING", {}
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self._set_next_execution_timestep(timestep + self.agent_settings.start_settings.frequency)
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self.logger.info(msg="Performing a data manipulation attack!", time_step=timestep)
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return "NODE_APPLICATION_EXECUTE", {"node_id": self.starting_node_idx, "application_id": 0}
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def setup_agent(self) -> None:
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@@ -54,3 +55,4 @@ class DataManipulationAgent(AbstractScriptedAgent):
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# we are assuming that every node in the node manager has a data manipulation application at idx 0
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num_nodes = len(self.action_manager.node_names)
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self.starting_node_idx = random.randint(0, num_nodes - 1)
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self.logger.debug(msg=f"Select Start Node ID: {self.starting_node_idx}", time_step=0)
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@@ -85,4 +85,5 @@ class ProbabilisticAgent(AbstractScriptedAgent):
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:rtype: Tuple[str, Dict]
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"""
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choice = self.rng.choice(len(self.action_manager.action_map), p=self.probabilities)
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self.logger.info(f"Performing Action: {choice}", time_step=timestep)
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return self.action_manager.get_action(choice)
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