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This commit is contained in:
Marek Wolan
2023-07-04 11:11:52 +01:00
parent 3de6208915
commit 5e270c7673
39 changed files with 208 additions and 409 deletions
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4
src/primaite/environment/observations.py
View File

@@ -376,8 +376,8 @@ class LinkTrafficLevels(AbstractObservationComponent):
class ObservationsHandler:
"""Component-based observation space handler.
This allows users to configure observation spaces by mixing and matching components.
Each component can also define further parameters to make them more flexible.
This allows users to configure observation spaces by mixing and matching components. Each component can also define
further parameters to make them more flexible.
"""
_REGISTRY: Final[Dict[str, type]] = {

71
src/primaite/environment/primaite_env.py
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@@ -67,14 +67,12 @@ class Primaite(Env):
session_path: Path,
timestamp_str: str,
):
"""
The Primaite constructor.
"""The Primaite constructor.
:param training_config_path: The training config filepath.
:param lay_down_config_path: The lay down config filepath.
:param session_path: The directory path the session is writing to.
:param timestamp_str: The session timestamp in the format:
<yyyy-mm-dd>_<hh-mm-ss>.
:param timestamp_str: The session timestamp in the format: <yyyy-mm-dd>_<hh-mm- ss>.
"""
self.session_path: Final[Path] = session_path
self.timestamp_str: Final[str] = timestamp_str
@@ -256,8 +254,7 @@ class Primaite(Env):
self.total_step_count = 0
def reset(self):
"""
AI Gym Reset function.
"""AI Gym Reset function.
Returns:
Environment observation space (reset)
@@ -293,8 +290,7 @@ class Primaite(Env):
return self.env_obs
def step(self, action):
"""
AI Gym Step function.
"""AI Gym Step function.
Args:
action: Action space from agent
@@ -432,8 +428,7 @@ class Primaite(Env):
print(" Protocol: " + protocol.get_name().name + ", Load: " + str(protocol.get_load()))
def interpret_action_and_apply(self, _action):
"""
Applies agent actions to the nodes and Access Control List.
"""Applies agent actions to the nodes and Access Control List.
Args:
_action: The action space from the agent
@@ -452,8 +447,7 @@ class Primaite(Env):
logging.error("Invalid action type found")
def apply_actions_to_nodes(self, _action):
"""
Applies agent actions to the nodes.
"""Applies agent actions to the nodes.
Args:
_action: The action space from the agent
@@ -540,8 +534,7 @@ class Primaite(Env):
return
def apply_actions_to_acl(self, _action):
"""
Applies agent actions to the Access Control List [TO DO].
"""Applies agent actions to the Access Control List [TO DO].
Args:
_action: The action space from the agent
@@ -618,8 +611,7 @@ class Primaite(Env):
return
def apply_time_based_updates(self):
"""
Updates anything that needs to count down and then change state.
"""Updates anything that needs to count down and then change state.
e.g. reset / patching status
"""
@@ -716,8 +708,7 @@ class Primaite(Env):
print("Environment configuration loaded")
def create_node(self, item):
"""
Creates a node from config data.
"""Creates a node from config data.
Args:
item: A config data item
@@ -797,8 +788,7 @@ class Primaite(Env):
self.network_reference.add_nodes_from([node_ref])
def create_link(self, item: Dict):
"""
Creates a link from config data.
"""Creates a link from config data.
Args:
item: A config data item
@@ -841,8 +831,7 @@ class Primaite(Env):
)
def create_green_ier(self, item):
"""
Creates a green IER from config data.
"""Creates a green IER from config data.
Args:
item: A config data item
@@ -882,8 +871,7 @@ class Primaite(Env):
)
def create_red_ier(self, item):
"""
Creates a red IER from config data.
"""Creates a red IER from config data.
Args:
item: A config data item
@@ -912,8 +900,7 @@ class Primaite(Env):
)
def create_green_pol(self, item):
"""
Creates a green PoL object from config data.
"""Creates a green PoL object from config data.
Args:
item: A config data item
@@ -946,8 +933,7 @@ class Primaite(Env):
)
def create_red_pol(self, item):
"""
Creates a red PoL object from config data.
"""Creates a red PoL object from config data.
Args:
item: A config data item
@@ -987,8 +973,7 @@ class Primaite(Env):
)
def create_acl_rule(self, item):
"""
Creates an ACL rule from config data.
"""Creates an ACL rule from config data.
Args:
item: A config data item
@@ -1008,8 +993,7 @@ class Primaite(Env):
)
def create_services_list(self, services):
"""
Creates a list of services (enum) from config data.
"""Creates a list of services (enum) from config data.
Args:
item: A config data item representing the services
@@ -1024,8 +1008,7 @@ class Primaite(Env):
self.num_services = len(self.services_list)
def create_ports_list(self, ports):
"""
Creates a list of ports from config data.
"""Creates a list of ports from config data.
Args:
item: A config data item representing the ports
@@ -1048,8 +1031,7 @@ class Primaite(Env):
self.observation_type = ObservationType[observation_info["type"]]
def get_action_info(self, action_info):
"""
Extracts action_info.
"""Extracts action_info.
Args:
item: A config data item representing action info
@@ -1069,11 +1051,9 @@ class Primaite(Env):
self.obs_config = obs_config
def reset_environment(self):
"""
# Resets environment.
"""# Resets environment.
Uses config data config data in order to build the environment
configuration.
Uses config data config data in order to build the environment configuration.
"""
for item in self.lay_down_config:
if item["item_type"] == "NODE":
@@ -1095,8 +1075,7 @@ class Primaite(Env):
ier_value.set_is_running(False)
def reset_node(self, item):
"""
Resets the statuses of a node.
"""Resets the statuses of a node.
Args:
item: A config data item
@@ -1143,8 +1122,7 @@ class Primaite(Env):
pass
def create_node_action_dict(self):
"""
Creates a dictionary mapping each possible discrete action to more readable multidiscrete action.
"""Creates a dictionary mapping each possible discrete action to more readable multidiscrete action.
Note: Only actions that have the potential to change the state exist in the mapping (except for key 0)
@@ -1157,7 +1135,6 @@ class Primaite(Env):
5: [1, 3, 1, 0],
...
}
"""
# reserve 0 action to be a nothing action
actions = {0: [1, 0, 0, 0]}
@@ -1209,11 +1186,9 @@ class Primaite(Env):
return actions
def create_node_and_acl_action_dict(self):
"""
Create a dictionary mapping each possible discrete action to a more readable mutlidiscrete action.
"""Create a dictionary mapping each possible discrete action to a more readable mutlidiscrete action.
The dictionary contains actions of both Node and ACL action types.
"""
node_action_dict = self.create_node_action_dict()
acl_action_dict = self.create_acl_action_dict()

15
src/primaite/environment/reward.py
View File

@@ -21,8 +21,7 @@ def calculate_reward_function(
step_count,
config_values,
):
"""
Compares the states of the initial and final nodes/links to get a reward.
"""Compares the states of the initial and final nodes/links to get a reward.
Args:
initial_nodes: The nodes before red and blue agents take effect
@@ -95,8 +94,7 @@ def calculate_reward_function(
def score_node_operating_state(final_node, initial_node, reference_node, config_values):
"""
Calculates score relating to the hardware state of a node.
"""Calculates score relating to the hardware state of a node.
Args:
final_node: The node after red and blue agents take effect
@@ -144,8 +142,7 @@ def score_node_operating_state(final_node, initial_node, reference_node, config_
def score_node_os_state(final_node, initial_node, reference_node, config_values):
"""
Calculates score relating to the Software State of a node.
"""Calculates score relating to the Software State of a node.
Args:
final_node: The node after red and blue agents take effect
@@ -195,8 +192,7 @@ def score_node_os_state(final_node, initial_node, reference_node, config_values)
def score_node_service_state(final_node, initial_node, reference_node, config_values):
"""
Calculates score relating to the service state(s) of a node.
"""Calculates score relating to the service state(s) of a node.
Args:
final_node: The node after red and blue agents take effect
@@ -267,8 +263,7 @@ def score_node_service_state(final_node, initial_node, reference_node, config_va
def score_node_file_system(final_node, initial_node, reference_node, config_values):
"""
Calculates score relating to the file system state of a node.
"""Calculates score relating to the file system state of a node.
Args:
final_node: The node after red and blue agents take effect