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PrimAITE/tests/integration_tests/game_layer/test_rewards.py

198 lines
7.7 KiB
Python

# © Crown-owned copyright 2024, Defence Science and Technology Laboratory UK
import pytest
import yaml
from primaite.game.agent.rewards import ActionPenalty, GreenAdminDatabaseUnreachablePenalty, WebpageUnavailablePenalty
from primaite.game.agent.scripted_agents.interface import AgentHistoryItem
from primaite.game.game import PrimaiteGame
from primaite.interface.request import RequestResponse
from primaite.session.environment import PrimaiteGymEnv
from primaite.simulator.network.hardware.nodes.host.server import Server
from primaite.simulator.network.hardware.nodes.network.router import ACLAction, Router
from primaite.simulator.system.applications.database_client import DatabaseClient
from primaite.simulator.system.applications.web_browser import WebBrowser
from primaite.simulator.system.services.database.database_service import DatabaseService
from primaite.utils.validation.ip_protocol import PROTOCOL_LOOKUP
from primaite.utils.validation.port import PORT_LOOKUP
from tests import TEST_ASSETS_ROOT
from tests.conftest import ControlledAgent
def test_WebpageUnavailablePenalty(game_and_agent):
"""Test that we get the right reward for failing to fetch a website."""
# set up the scenario, configure the web browser to the correct url
game, agent = game_and_agent
agent: ControlledAgent
comp = WebpageUnavailablePenalty(node_hostname="client_1")
client_1 = game.simulation.network.get_node_by_hostname("client_1")
browser: WebBrowser = client_1.software_manager.software.get("WebBrowser")
browser.run()
browser.target_url = "http://www.example.com"
agent.reward_function.register_component(comp, 0.7)
# Check that before trying to fetch the webpage, the reward is 0.0
agent.store_action(("DONOTHING", {}))
game.step()
assert agent.reward_function.current_reward == 0.0
# Check that successfully fetching the webpage yields a reward of 0.7
agent.store_action(("NODE_APPLICATION_EXECUTE", {"node_id": 0, "application_id": 0}))
game.step()
assert agent.reward_function.current_reward == 0.7
# Block the web traffic, check that failing to fetch the webpage yields a reward of -0.7
router: Router = game.simulation.network.get_node_by_hostname("router")
router.acl.add_rule(
action=ACLAction.DENY,
protocol=PROTOCOL_LOOKUP["TCP"],
src_port=PORT_LOOKUP["HTTP"],
dst_port=PORT_LOOKUP["HTTP"],
)
agent.store_action(("NODE_APPLICATION_EXECUTE", {"node_id": 0, "application_id": 0}))
game.step()
assert agent.reward_function.current_reward == -0.7
def test_uc2_rewards(game_and_agent):
"""Test that the reward component correctly applies a penalty when the selected client cannot reach the database."""
game, agent = game_and_agent
agent: ControlledAgent
server_1: Server = game.simulation.network.get_node_by_hostname("server_1")
server_1.software_manager.install(DatabaseService)
db_service = server_1.software_manager.software.get("DatabaseService")
db_service.start()
client_1 = game.simulation.network.get_node_by_hostname("client_1")
client_1.software_manager.install(DatabaseClient)
db_client: DatabaseClient = client_1.software_manager.software.get("DatabaseClient")
db_client.configure(server_ip_address=server_1.network_interface[1].ip_address)
db_client.run()
router: Router = game.simulation.network.get_node_by_hostname("router")
router.acl.add_rule(
ACLAction.PERMIT, src_port=PORT_LOOKUP["POSTGRES_SERVER"], dst_port=PORT_LOOKUP["POSTGRES_SERVER"], position=2
)
comp = GreenAdminDatabaseUnreachablePenalty("client_1")
request = ["network", "node", "client_1", "application", "DatabaseClient", "execute"]
response = game.simulation.apply_request(request)
state = game.get_sim_state()
ahi = AgentHistoryItem(
timestep=0, action="NODE_APPLICATION_EXECUTE", parameters={}, request=request, response=response
)
reward_value = comp.calculate(state, last_action_response=ahi)
assert reward_value == 1.0
assert ahi.reward_info == {"connection_attempt_status": "success"}
router.acl.remove_rule(position=2)
response = game.simulation.apply_request(request)
state = game.get_sim_state()
ahi = AgentHistoryItem(
timestep=0, action="NODE_APPLICATION_EXECUTE", parameters={}, request=request, response=response
)
reward_value = comp.calculate(
state,
last_action_response=ahi,
)
assert reward_value == -1.0
assert ahi.reward_info == {"connection_attempt_status": "failure"}
def test_shared_reward():
CFG_PATH = TEST_ASSETS_ROOT / "configs/shared_rewards.yaml"
with open(CFG_PATH, "r") as f:
cfg = yaml.safe_load(f)
env = PrimaiteGymEnv(env_config=cfg)
env.reset()
order = env.game._reward_calculation_order
assert order.index("defender") > order.index("client_1_green_user")
assert order.index("defender") > order.index("client_2_green_user")
for step in range(256):
act = env.action_space.sample()
env.step(act)
g1_reward = env.game.agents["client_1_green_user"].reward_function.current_reward
g2_reward = env.game.agents["client_2_green_user"].reward_function.current_reward
blue_reward = env.game.agents["defender"].reward_function.current_reward
assert blue_reward == g1_reward + g2_reward
def test_action_penalty_loads_from_config():
"""Test to ensure that action penalty is correctly loaded from config into PrimaiteGymEnv"""
CFG_PATH = TEST_ASSETS_ROOT / "configs/action_penalty.yaml"
with open(CFG_PATH, "r") as f:
cfg = yaml.safe_load(f)
env = PrimaiteGymEnv(env_config=cfg)
env.reset()
defender = env.game.agents["defender"]
act_penalty_obj = None
for comp in defender.reward_function.reward_components:
if isinstance(comp[0], ActionPenalty):
act_penalty_obj = comp[0]
if act_penalty_obj is None:
pytest.fail("Action penalty reward component was not added to the agent from config.")
assert act_penalty_obj.action_penalty == -0.75
assert act_penalty_obj.do_nothing_penalty == 0.125
def test_action_penalty():
"""Test that the action penalty is correctly applied when agent performs any action"""
# Create an ActionPenalty Reward
Penalty = ActionPenalty(action_penalty=-0.75, do_nothing_penalty=0.125)
# Assert that penalty is applied if action isn't DONOTHING
reward_value = Penalty.calculate(
state={},
last_action_response=AgentHistoryItem(
timestep=0,
action="NODE_APPLICATION_EXECUTE",
parameters={"node_id": 0, "application_id": 1},
request=["execute"],
response=RequestResponse.from_bool(True),
),
)
assert reward_value == -0.75
# Assert that no penalty applied for a DONOTHING action
reward_value = Penalty.calculate(
state={},
last_action_response=AgentHistoryItem(
timestep=0,
action="DONOTHING",
parameters={},
request=["do_nothing"],
response=RequestResponse.from_bool(True),
),
)
assert reward_value == 0.125
def test_action_penalty_e2e(game_and_agent):
"""Test that we get the right reward for doing actions to fetch a website."""
game, agent = game_and_agent
agent: ControlledAgent
comp = ActionPenalty(action_penalty=-0.75, do_nothing_penalty=0.125)
agent.reward_function.register_component(comp, 1.0)
action = ("DONOTHING", {})
agent.store_action(action)
game.step()
assert agent.reward_function.current_reward == 0.125
action = ("NODE_FILE_SCAN", {"node_id": 0, "folder_id": 0, "file_id": 0})
agent.store_action(action)
game.step()
assert agent.reward_function.current_reward == -0.75