#2869 - Commit before switching branches. Changes to make pydantic happy with AgentLog
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@@ -15,6 +15,7 @@ class AbstractTAPAgent(AbstractScriptedAgent, identifier="Abstract_TAP"):
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class ConfigSchema(AbstractScriptedAgent.ConfigSchema):
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"""Configuration schema for Abstract TAP agents."""
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agent_name: str = "Abstract_TAP"
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starting_node_name: str
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next_execution_timestep: int
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@@ -32,3 +33,11 @@ class AbstractTAPAgent(AbstractScriptedAgent, identifier="Abstract_TAP"):
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-self.config.agent_settings.start_settings.variance, self.config.agent_settings.start_settings.variance
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)
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self.config.next_execution_timestep = timestep + random_timestep_increment
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def _select_start_node(self) -> None:
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"""Set the starting starting node of the agent to be a random node from this agent's action manager."""
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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.config.action_manager.node_names)
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starting_node_idx = random.randint(0, num_nodes - 1)
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self.starting_node_name = self.config.action_manager.node_names[starting_node_idx]
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self.config.logger.debug(f"Selected Starting node ID: {self.starting_node_name}")
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@@ -16,6 +16,11 @@ class DataManipulationAgent(AbstractTAPAgent, identifier="Data_Manipulation_Agen
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"""Configuration Schema for DataManipulationAgent."""
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starting_application_name: str
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agent_name: str = "Data_Manipulation_Agent"
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def __init__(self) -> None:
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"""Meh."""
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self.setup_agent()
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@property
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def next_execution_timestep(self) -> int:
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@@ -52,10 +57,3 @@ class DataManipulationAgent(AbstractTAPAgent, identifier="Data_Manipulation_Agen
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"""Set the next execution timestep when the episode resets."""
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self._select_start_node()
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self._set_next_execution_timestep(self.config.agent_settings.start_settings.start_step)
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def _select_start_node(self) -> None:
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"""Set the starting starting node of the agent to be a random node from this agent's action manager."""
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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.config.logger.debug(msg=f"Select Start Node ID: {self.starting_node_idx}")
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@@ -18,6 +18,7 @@ class ProbabilisticAgent(AbstractScriptedAgent, identifier="Probabilistic_Agent"
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class ConfigSchema(pydantic.BaseModel):
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"""Config schema for Probabilistic agent settings."""
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agent_name: str = "Probabilistic_Agent"
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model_config = pydantic.ConfigDict(extra="forbid")
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"""Strict validation."""
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action_probabilities: Dict[int, float]
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@@ -10,7 +10,12 @@ from primaite.game.agent.interface import AbstractScriptedAgent
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class RandomAgent(AbstractScriptedAgent, identifier="Random_Agent"):
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"""Agent that ignores its observation and acts completely at random."""
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def get_action(self, obs: ObsType, timestep: int = 0) -> Tuple[str, Dict]:
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class ConfigSchema(AbstractScriptedAgent.ConfigSchema):
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"""Configuration Schema for Random Agents."""
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agent_name = "Random_Agent"
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def get_action(self) -> Tuple[str, Dict]:
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"""Sample the action space randomly.
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:param obs: Current observation for this agent, not used in RandomAgent
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@@ -31,6 +36,8 @@ class PeriodicAgent(AbstractScriptedAgent, identifier="Periodic_Agent"):
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class ConfigSchema(AbstractScriptedAgent.ConfigSchema):
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"""Configuration Schema for Periodic Agent."""
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agent_name = "Periodic_Agent"
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"""Name of the agent."""
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start_step: int = 20
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"The timestep at which an agent begins performing it's actions."
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start_variance: int = 5
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@@ -69,9 +76,9 @@ class PeriodicAgent(AbstractScriptedAgent, identifier="Periodic_Agent"):
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def get_action(self, obs: ObsType, timestep: int) -> Tuple[str, Dict]:
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"""Do nothing, unless the current timestep is the next execution timestep, in which case do the action."""
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if timestep == self.next_execution_timestep and self.num_executions < self.settings.max_executions:
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if timestep == self.next_execution_timestep and self.num_executions < self.config.max_executions:
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self.num_executions += 1
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self._set_next_execution_timestep(timestep + self.settings.frequency, self.settings.variance)
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self._set_next_execution_timestep(timestep + self.config.frequency, self.config.variance)
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return "NODE_APPLICATION_EXECUTE", {"node_id": 0, "application_id": 0}
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return "DONOTHING", {}
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@@ -19,20 +19,19 @@ class TAP001(AbstractTAPAgent, identifier="TAP001"):
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class ConfigSchema(AbstractTAPAgent.ConfigSchema):
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"""Configuration Schema for TAP001 Agent."""
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agent_name: str = "TAP001"
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installed: bool = False
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def __init__(self) -> None:
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"""___init___ bruv. Restecpa."""
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super().__init__()
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self.setup_agent()
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@property
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def starting_node_name(self) -> str:
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"""Node that TAP001 starts from."""
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return self.config.starting_node_name
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@classmethod
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def from_config(cls, config: Dict) -> TAP001:
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"""Override the base from_config method to ensure successful agent setup."""
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obj: TAP001 = cls(config=cls.ConfigSchema(**config))
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obj.setup_agent()
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return obj
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def get_action(self, timestep: int) -> Tuple[str, Dict]:
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"""Waits until a specific timestep, then attempts to execute the ransomware application.
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@@ -72,11 +71,3 @@ class TAP001(AbstractTAPAgent, identifier="TAP001"):
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self.ip_address = act[1]["ip_address"]
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return
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raise RuntimeError("TAP001 agent could not find database server ip address in action map")
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def _select_start_node(self) -> None:
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"""Set the starting starting node of the agent to be a random node from this agent's action manager."""
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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.config.action_manager.node_names)
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starting_node_idx = random.randint(0, num_nodes - 1)
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self.starting_node_name = self.config.action_manager.node_names[starting_node_idx]
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self.config.logger.debug(f"Selected Starting node ID: {self.starting_node_name}")
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