Added type hints
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@@ -1,15 +1,19 @@
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# Crown Copyright (C) Dstl 2022. DEFCON 703. Shared in confidence.
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"""The Transaction class."""
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from datetime import datetime
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from typing import List, Tuple
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from typing import List, Tuple, TYPE_CHECKING, Union
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from primaite.common.enums import AgentIdentifier
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if TYPE_CHECKING:
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import numpy as np
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from gym import spaces
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class Transaction(object):
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"""Transaction class."""
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def __init__(self, agent_identifier: AgentIdentifier, episode_number: int, step_number: int):
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def __init__(self, agent_identifier: AgentIdentifier, episode_number: int, step_number: int) -> None:
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"""
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Transaction constructor.
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@@ -17,7 +21,7 @@ class Transaction(object):
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:param episode_number: The episode number
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:param step_number: The step number
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"""
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self.timestamp = datetime.now()
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self.timestamp: datetime = datetime.now()
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"The datetime of the transaction"
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self.agent_identifier: AgentIdentifier = agent_identifier
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"The agent identifier"
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@@ -25,17 +29,17 @@ class Transaction(object):
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"The episode number"
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self.step_number: int = step_number
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"The step number"
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self.obs_space = None
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self.obs_space: "spaces.Space" = None
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"The observation space (pre)"
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self.obs_space_pre = None
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self.obs_space_pre: Union["np.ndarray", Tuple["np.ndarray"]] = None
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"The observation space before any actions are taken"
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self.obs_space_post = None
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self.obs_space_post: Union["np.ndarray", Tuple["np.ndarray"]] = None
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"The observation space after any actions are taken"
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self.reward: float = None
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"The reward value"
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self.action_space = None
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self.action_space: int = None
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"The action space invoked by the agent"
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self.obs_space_description = None
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self.obs_space_description: List[str] = None
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"The env observation space description"
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def as_csv_data(self) -> Tuple[List, List]:
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@@ -68,7 +72,7 @@ class Transaction(object):
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return header, row
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def _turn_action_space_to_array(action_space) -> List[str]:
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def _turn_action_space_to_array(action_space: Union[int, List[int]]) -> List[str]:
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"""
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Turns action space into a string array so it can be saved to csv.
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@@ -81,7 +85,7 @@ def _turn_action_space_to_array(action_space) -> List[str]:
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return [str(action_space)]
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def _turn_obs_space_to_array(obs_space, obs_assets, obs_features) -> List[str]:
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def _turn_obs_space_to_array(obs_space: "np.ndarray", obs_assets: int, obs_features: int) -> List[str]:
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"""
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Turns observation space into a string array so it can be saved to csv.
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