901 - merged with dev
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@@ -1,7 +1,7 @@
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# Crown Copyright (C) Dstl 2022. DEFCON 703. Shared in confidence.
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"""Enumerations for APE."""
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from enum import Enum
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from enum import Enum, IntEnum
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class NodeType(Enum):
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@@ -32,6 +32,7 @@ class Priority(Enum):
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class HardwareState(Enum):
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"""Node hardware state enumeration."""
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NONE = 0
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ON = 1
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OFF = 2
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RESETTING = 3
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@@ -42,6 +43,7 @@ class HardwareState(Enum):
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class SoftwareState(Enum):
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"""Software or Service state enumeration."""
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NONE = 0
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GOOD = 1
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PATCHING = 2
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COMPROMISED = 3
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@@ -79,6 +81,65 @@ class Protocol(Enum):
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NONE = 7
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class SessionType(Enum):
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"""The type of PrimAITE Session to be run."""
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TRAIN = 1
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"Train an agent"
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EVAL = 2
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"Evaluate an agent"
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TRAIN_EVAL = 3
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"Train then evaluate an agent"
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class AgentFramework(Enum):
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"""The agent algorithm framework/package."""
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CUSTOM = 0
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"Custom Agent"
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SB3 = 1
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"Stable Baselines3"
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RLLIB = 2
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"Ray RLlib"
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class DeepLearningFramework(Enum):
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"""The deep learning framework."""
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TF = "tf"
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"Tensorflow"
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TF2 = "tf2"
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"Tensorflow 2.x"
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TORCH = "torch"
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"PyTorch"
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class AgentIdentifier(Enum):
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"""The Red Agent algo/class."""
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A2C = 1
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"Advantage Actor Critic"
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PPO = 2
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"Proximal Policy Optimization"
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HARDCODED = 3
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"The Hardcoded agents"
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DO_NOTHING = 4
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"The DoNothing agents"
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RANDOM = 5
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"The RandomAgent"
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DUMMY = 6
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"The DummyAgent"
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class HardCodedAgentView(Enum):
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"""The view the deterministic hard-coded agent has of the environment."""
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BASIC = 1
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"The current observation space only"
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FULL = 2
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"Full environment view with actions taken and reward feedback"
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class ActionType(Enum):
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"""Action type enumeration."""
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@@ -130,6 +191,14 @@ class LinkStatus(Enum):
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OVERLOAD = 4
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class SB3OutputVerboseLevel(IntEnum):
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"""The Stable Baselines3 learn/eval output verbosity level."""
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NONE = 0
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INFO = 1
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DEBUG = 2
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class RulePermissionType(Enum):
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"""Any firewall rule type."""
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