#915 - Created app dirs and set as constants in the top-level init.

- renamed _config_values_main to training_config.py and renamed the ConfigValuesMain class to TrainingConfig.
Moved training_config.py to src/primaite/config/training_config.py
- Renamed all training config yaml file keys to make creating an instance of TrainingConfig easier.
Moved action_type and num_steps over to the training config.
- Decoupled the training config and lay down config.
- Refactored main.py so that it can be ran from CLI and can take a training config path and a lay down config path.
- refactored all outputs so that they save to the session dir.
- Added some necessary setup scripts that handle creating app dirs, fronting example config files to the user, fronting demo notebooks to the user, performing clean-up in between installations etc.
- Added functions that attempt to retrieve the file path of users example config files that have been fronted by the primaite setup.
- Added logging config and a getLogger function in the top-level init.
- Refactored all logs entries logged to use a logger using the primaite logging config.
- Added basic typer CLI for doing things like setup, viewing logs, viewing primaite version, running a basic session.
- Updated test to use new features and config structures.
- Began updating docs. More to do here.
This commit is contained in:
Chris McCarthy
2023-06-07 22:40:16 +01:00
parent ef3cef530b
commit 273876873e
44 changed files with 1527 additions and 1356 deletions

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@@ -1,90 +0,0 @@
# Crown Copyright (C) Dstl 2022. DEFCON 703. Shared in confidence.
"""The config class."""
class ConfigValuesMain(object):
"""Class to hold main config values."""
def __init__(self):
"""Init."""
# Generic
self.agent_identifier = "" # the agent in use
self.num_episodes = 0 # number of episodes to train over
self.num_steps = 0 # number of steps in an episode
self.time_delay = 0 # delay between steps (ms) - applies to generic agents only
self.config_filename_use_case = "" # the filename for the Use Case config file
self.session_type = "" # the session type to run (TRAINING or EVALUATION)
# Environment
self.observation_space_high_value = (
0 # The high value for the observation space
)
# Reward values
# Generic
self.all_ok = 0
# Node Hardware State
self.off_should_be_on = 0
self.off_should_be_resetting = 0
self.on_should_be_off = 0
self.on_should_be_resetting = 0
self.resetting_should_be_on = 0
self.resetting_should_be_off = 0
self.resetting = 0
# Node Software or Service State
self.good_should_be_patching = 0
self.good_should_be_compromised = 0
self.good_should_be_overwhelmed = 0
self.patching_should_be_good = 0
self.patching_should_be_compromised = 0
self.patching_should_be_overwhelmed = 0
self.patching = 0
self.compromised_should_be_good = 0
self.compromised_should_be_patching = 0
self.compromised_should_be_overwhelmed = 0
self.compromised = 0
self.overwhelmed_should_be_good = 0
self.overwhelmed_should_be_patching = 0
self.overwhelmed_should_be_compromised = 0
self.overwhelmed = 0
# Node File System State
self.good_should_be_repairing = 0
self.good_should_be_restoring = 0
self.good_should_be_corrupt = 0
self.good_should_be_destroyed = 0
self.repairing_should_be_good = 0
self.repairing_should_be_restoring = 0
self.repairing_should_be_corrupt = 0
self.repairing_should_be_destroyed = (
0 # Repairing does not fix destroyed state - you need to restore
)
self.repairing = 0
self.restoring_should_be_good = 0
self.restoring_should_be_repairing = 0
self.restoring_should_be_corrupt = (
0 # Not the optimal method (as repair will fix corruption)
)
self.restoring_should_be_destroyed = 0
self.restoring = 0
self.corrupt_should_be_good = 0
self.corrupt_should_be_repairing = 0
self.corrupt_should_be_restoring = 0
self.corrupt_should_be_destroyed = 0
self.corrupt = 0
self.destroyed_should_be_good = 0
self.destroyed_should_be_repairing = 0
self.destroyed_should_be_restoring = 0
self.destroyed_should_be_corrupt = 0
self.destroyed = 0
self.scanning = 0
# IER status
self.red_ier_running = 0
self.green_ier_blocked = 0
# Patching / Reset
self.os_patching_duration = 0 # The time taken to patch the OS
self.node_reset_duration = 0 # The time taken to reset a node (hardware)
self.service_patching_duration = 0 # The time taken to patch a service
self.file_system_repairing_limit = 0 # The time take to repair a file
self.file_system_restoring_limit = 0 # The time take to restore a file
self.file_system_scanning_limit = 0 # The time taken to scan the file system

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@@ -81,6 +81,7 @@ class ActionType(Enum):
NODE = 0
ACL = 1
ANY = 2
class ObservationType(Enum):

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@@ -0,0 +1,91 @@
# Crown Copyright (C) Dstl 2022. DEFCON 703. Shared in confidence.
"""The config class."""
from dataclasses import dataclass
from primaite.common.enums import ActionType
@dataclass()
class TrainingConfig:
"""Class to hold main config values."""
# Generic
agent_identifier: str # The Red Agent algo/class to be used
action_type: ActionType # type of action to use (NODE/ACL/ANY)
num_episodes: int # number of episodes to train over
num_steps: int # number of steps in an episode
time_delay: int # delay between steps (ms) - applies to generic agents only
# file
session_type: str # the session type to run (TRAINING or EVALUATION)
load_agent: str # Determine whether to load an agent from file
agent_load_file: str # File path and file name of agent if you're loading one in
# Environment
observation_space_high_value: int # The high value for the observation space
# Reward values
# Generic
all_ok: int
# Node Hardware State
off_should_be_on: int
off_should_be_resetting: int
on_should_be_off: int
on_should_be_resetting: int
resetting_should_be_on: int
resetting_should_be_off: int
resetting: int
# Node Software or Service State
good_should_be_patching: int
good_should_be_compromised: int
good_should_be_overwhelmed: int
patching_should_be_good: int
patching_should_be_compromised: int
patching_should_be_overwhelmed: int
patching: int
compromised_should_be_good: int
compromised_should_be_patching: int
compromised_should_be_overwhelmed: int
compromised: int
overwhelmed_should_be_good: int
overwhelmed_should_be_patching: int
overwhelmed_should_be_compromised: int
overwhelmed: int
# Node File System State
good_should_be_repairing: int
good_should_be_restoring: int
good_should_be_corrupt: int
good_should_be_destroyed: int
repairing_should_be_good: int
repairing_should_be_restoring: int
repairing_should_be_corrupt: int
repairing_should_be_destroyed: int # Repairing does not fix destroyed state - you need to restore
repairing: int
restoring_should_be_good: int
restoring_should_be_repairing: int
restoring_should_be_corrupt: int # Not the optimal method (as repair will fix corruption)
restoring_should_be_destroyed: int
restoring: int
corrupt_should_be_good: int
corrupt_should_be_repairing: int
corrupt_should_be_restoring: int
corrupt_should_be_destroyed: int
corrupt: int
destroyed_should_be_good: int
destroyed_should_be_repairing: int
destroyed_should_be_restoring: int
destroyed_should_be_corrupt: int
destroyed: int
scanning: int
# IER status
red_ier_running: int
green_ier_blocked: int
# Patching / Reset
os_patching_duration: int # The time taken to patch the OS
node_reset_duration: int # The time taken to reset a node (hardware)
service_patching_duration: int # The time taken to patch a service
file_system_repairing_limit: int # The time take to repair a file
file_system_restoring_limit: int # The time take to restore a file
file_system_scanning_limit: int # The time taken to scan the file system