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PrimAITE/src/primaite/game/agent/observations/observations.py

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"""Manages the observation space for the agent."""
from abc import ABC, abstractmethod
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from ipaddress import IPv4Address
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from typing import Any, Dict, List, Optional, Tuple, TYPE_CHECKING, Type
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from gymnasium import spaces
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from pydantic import BaseModel, ConfigDict
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from primaite import getLogger
from primaite.game.agent.utils import access_from_nested_dict, NOT_PRESENT_IN_STATE
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_LOGGER = getLogger(__name__)
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if TYPE_CHECKING:
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from primaite.game.game import PrimaiteGame
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class AbstractObservation(ABC):
"""Abstract class for an observation space component."""
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class ConfigSchema(ABC, BaseModel):
model_config = ConfigDict(extra="forbid")
_registry: Dict[str, Type["AbstractObservation"]] = {}
"""Registry of observation components, with their name as key.
Automatically populated when subclasses are defined. Used for defining from_config.
"""
def __init_subclass__(cls, identifier: str, **kwargs: Any) -> None:
"""
Register an observation type.
:param identifier: Identifier used to uniquely specify observation component types.
:type identifier: str
:raises ValueError: When attempting to create a component with a name that is already in use.
"""
super().__init_subclass__(**kwargs)
if identifier in cls._registry:
raise ValueError(f"Duplicate observation component type {identifier}")
cls._registry[identifier] = cls
@abstractmethod
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def observe(self, state: Dict) -> Any:
"""
Return an observation based on the current state of the simulation.
:param state: Simulation state dictionary
:type state: Dict
:return: Observation
:rtype: Any
"""
pass
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@property
@abstractmethod
def space(self) -> spaces.Space:
"""Gymnasium space object describing the observation space."""
pass
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@classmethod
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def from_config(cls, cfg: Dict) -> "AbstractObservation":
"""Create this observation space component form a serialised format."""
ObservationType = cls._registry[cfg['type']]
return ObservationType.from_config(cfg=cfg)
# class LinkObservation(AbstractObservation):
# """Observation of a link in the network."""
# default_observation: spaces.Space = {"PROTOCOLS": {"ALL": 0}}
# "Default observation is what should be returned when the link doesn't exist."
# def __init__(self, where: Optional[Tuple[str]] = None) -> None:
# """Initialise link observation.
# :param where: Store information about where in the simulation state dictionary to find the relevant information.
# Optional. If None, this corresponds that the file does not exist and the observation will be populated with
# zeroes.
# A typical location for a service looks like this:
# `['network','nodes',<node_hostname>,'servics', <service_name>]`
# :type where: Optional[List[str]]
# """
# super().__init__()
# self.where: Optional[Tuple[str]] = where
# def observe(self, state: Dict) -> Dict:
# """Generate observation based on the current state of the simulation.
# :param state: Simulation state dictionary
# :type state: Dict
# :return: Observation
# :rtype: Dict
# """
# if self.where is None:
# return self.default_observation
# link_state = access_from_nested_dict(state, self.where)
# if link_state is NOT_PRESENT_IN_STATE:
# return self.default_observation
# bandwidth = link_state["bandwidth"]
# load = link_state["current_load"]
# if load == 0:
# utilisation_category = 0
# else:
# utilisation_fraction = load / bandwidth
# # 0 is UNUSED, 1 is 0%-10%. 2 is 10%-20%. 3 is 20%-30%. And so on... 10 is exactly 100%
# utilisation_category = int(utilisation_fraction * 9) + 1
# # TODO: once the links support separte load per protocol, this needs amendment to reflect that.
# return {"PROTOCOLS": {"ALL": min(utilisation_category, 10)}}
# @property
# def space(self) -> spaces.Space:
# """Gymnasium space object describing the observation space shape.
# :return: Gymnasium space
# :rtype: spaces.Space
# """
# return spaces.Dict({"PROTOCOLS": spaces.Dict({"ALL": spaces.Discrete(11)})})
# @classmethod
# def from_config(cls, config: Dict, game: "PrimaiteGame") -> "LinkObservation":
# """Create link observation from a config.
# :param config: Dictionary containing the configuration for this link observation.
# :type config: Dict
# :param game: Reference to the PrimaiteGame object that spawned this observation.
# :type game: PrimaiteGame
# :return: Constructed link observation
# :rtype: LinkObservation
# """
# return cls(where=["network", "links", game.ref_map_links[config["link_ref"]]])
# class AclObservation(AbstractObservation):
# """Observation of an Access Control List (ACL) in the network."""
# # TODO: should where be optional, and we can use where=None to pad the observation space?
# # definitely the current approach does not support tracking files that aren't specified by name, for example
# # if a file is created at runtime, we have currently got no way of telling the observation space to track it.
# # this needs adding, but not for the MVP.
# def __init__(
# self,
# node_ip_to_id: Dict[str, int],
# ports: List[int],
# protocols: List[str],
# where: Optional[Tuple[str]] = None,
# num_rules: int = 10,
# ) -> None:
# """Initialise ACL observation.
# :param node_ip_to_id: Mapping between IP address and ID.
# :type node_ip_to_id: Dict[str, int]
# :param ports: List of ports which are part of the game that define the ordering when converting to an ID
# :type ports: List[int]
# :param protocols: List of protocols which are part of the game, defines ordering when converting to an ID
# :type protocols: list[str]
# :param where: Where in the simulation state dictionary to find the relevant information for this ACL. A typical
# example may look like this:
# ['network','nodes',<router_hostname>,'acl','acl']
# :type where: Optional[Tuple[str]], optional
# :param num_rules: , defaults to 10
# :type num_rules: int, optional
# """
# super().__init__()
# self.where: Optional[Tuple[str]] = where
# self.num_rules: int = num_rules
# self.node_to_id: Dict[str, int] = node_ip_to_id
# "List of node IP addresses, order in this list determines how they are converted to an ID"
# self.port_to_id: Dict[int, int] = {port: i + 2 for i, port in enumerate(ports)}
# "List of ports which are part of the game that define the ordering when converting to an ID"
# self.protocol_to_id: Dict[str, int] = {protocol: i + 2 for i, protocol in enumerate(protocols)}
# "List of protocols which are part of the game, defines ordering when converting to an ID"
# self.default_observation: Dict = {
# i
# + 1: {
# "position": i,
# "permission": 0,
# "source_node_id": 0,
# "source_port": 0,
# "dest_node_id": 0,
# "dest_port": 0,
# "protocol": 0,
# }
# for i in range(self.num_rules)
# }
# def observe(self, state: Dict) -> Dict:
# """Generate observation based on the current state of the simulation.
# :param state: Simulation state dictionary
# :type state: Dict
# :return: Observation
# :rtype: Dict
# """
# if self.where is None:
# return self.default_observation
# acl_state: Dict = access_from_nested_dict(state, self.where)
# if acl_state is NOT_PRESENT_IN_STATE:
# return self.default_observation
# # TODO: what if the ACL has more rules than num of max rules for obs space
# obs = {}
# acl_items = dict(acl_state.items())
# i = 1 # don't show rule 0 for compatibility reasons.
# while i < self.num_rules + 1:
# rule_state = acl_items[i]
# if rule_state is None:
# obs[i] = {
# "position": i - 1,
# "permission": 0,
# "source_node_id": 0,
# "source_port": 0,
# "dest_node_id": 0,
# "dest_port": 0,
# "protocol": 0,
# }
# else:
# src_ip = rule_state["src_ip_address"]
# src_node_id = 1 if src_ip is None else self.node_to_id[IPv4Address(src_ip)]
# dst_ip = rule_state["dst_ip_address"]
# dst_node_ip = 1 if dst_ip is None else self.node_to_id[IPv4Address(dst_ip)]
# src_port = rule_state["src_port"]
# src_port_id = 1 if src_port is None else self.port_to_id[src_port]
# dst_port = rule_state["dst_port"]
# dst_port_id = 1 if dst_port is None else self.port_to_id[dst_port]
# protocol = rule_state["protocol"]
# protocol_id = 1 if protocol is None else self.protocol_to_id[protocol]
# obs[i] = {
# "position": i - 1,
# "permission": rule_state["action"],
# "source_node_id": src_node_id,
# "source_port": src_port_id,
# "dest_node_id": dst_node_ip,
# "dest_port": dst_port_id,
# "protocol": protocol_id,
# }
# i += 1
# return obs
# @property
# def space(self) -> spaces.Space:
# """Gymnasium space object describing the observation space shape.
# :return: Gymnasium space
# :rtype: spaces.Space
# """
# return spaces.Dict(
# {
# i
# + 1: spaces.Dict(
# {
# "position": spaces.Discrete(self.num_rules),
# "permission": spaces.Discrete(3),
# # adding two to lengths is to account for reserved values 0 (unused) and 1 (any)
# "source_node_id": spaces.Discrete(len(set(self.node_to_id.values())) + 2),
# "source_port": spaces.Discrete(len(self.port_to_id) + 2),
# "dest_node_id": spaces.Discrete(len(set(self.node_to_id.values())) + 2),
# "dest_port": spaces.Discrete(len(self.port_to_id) + 2),
# "protocol": spaces.Discrete(len(self.protocol_to_id) + 2),
# }
# )
# for i in range(self.num_rules)
# }
# )
# @classmethod
# def from_config(cls, config: Dict, game: "PrimaiteGame") -> "AclObservation":
# """Generate ACL observation from a config.
# :param config: Dictionary containing the configuration for this ACL observation.
# :type config: Dict
# :param game: Reference to the PrimaiteGame object that spawned this observation.
# :type game: PrimaiteGame
# :return: Observation object
# :rtype: AclObservation
# """
# max_acl_rules = config["options"]["max_acl_rules"]
# node_ip_to_idx = {}
# for ip_idx, ip_map_config in enumerate(config["ip_address_order"]):
# node_ref = ip_map_config["node_hostname"]
# nic_num = ip_map_config["nic_num"]
# node_obj = game.simulation.network.nodes[game.ref_map_nodes[node_ref]]
# nic_obj = node_obj.network_interface[nic_num]
# node_ip_to_idx[nic_obj.ip_address] = ip_idx + 2
# router_hostname = config["router_hostname"]
# return cls(
# node_ip_to_id=node_ip_to_idx,
# ports=game.options.ports,
# protocols=game.options.protocols,
# where=["network", "nodes", router_hostname, "acl", "acl"],
# num_rules=max_acl_rules,
# )
# class NullObservation(AbstractObservation):
# """Null observation, returns a single 0 value for the observation space."""
# def __init__(self, where: Optional[List[str]] = None):
# """Initialise null observation."""
# self.default_observation: Dict = {}
# def observe(self, state: Dict) -> Dict:
# """Generate observation based on the current state of the simulation."""
# return 0
# @property
# def space(self) -> spaces.Space:
# """Gymnasium space object describing the observation space shape."""
# return spaces.Discrete(1)
# @classmethod
# def from_config(cls, config: Dict, game: Optional["PrimaiteGame"] = None) -> "NullObservation":
# """
# Create null observation from a config.
# The parameters are ignored, they are here to match the signature of the other observation classes.
# """
# return cls()
# class ICSObservation(NullObservation):
# """ICS observation placeholder, currently not implemented so always returns a single 0."""
# pass