110 lines
3.7 KiB
Python
110 lines
3.7 KiB
Python
# Crown Copyright (C) Dstl 2022. DEFCON 703. Shared in confidence.
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"""Writes the Transaction log list out to file for evaluation to utilse."""
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import csv
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import logging
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import os.path
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from datetime import datetime
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def turn_action_space_to_array(_action_space):
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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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Args:
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_action_space: The action space.
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"""
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return_array = []
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for x in range(len(_action_space)):
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return_array.append(str(_action_space[x]))
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return return_array
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def turn_obs_space_to_array(_obs_space, _obs_assets, _obs_features):
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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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Args:
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_obs_space: The observation space
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_obs_assets: The number of assets (i.e. nodes or links) in the observation space
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_obs_features: The number of features associated with the asset
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"""
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return_array = []
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for x in range(_obs_assets):
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for y in range(_obs_features):
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return_array.append(str(_obs_space[x][y]))
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return return_array
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def write_transaction_to_file(_transaction_list):
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"""
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Writes transaction logs to file to support training evaluation.
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Args:
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_transaction_list: The list of transactions from all steps and all episodes
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_num_episodes: The number of episodes that were conducted.
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"""
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# Get the first transaction and use it to determine the makeup of the observation space and action space
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# Label the obs space fields in csv as "OSI_1_1", "OSN_1_1" and action space as "AS_1"
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# This will be tied into the PrimAITE Use Case so that they make sense
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template_transation = _transaction_list[0]
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action_length = template_transation.action_space.size
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obs_assets = template_transation.obs_space_post.shape[0]
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obs_features = template_transation.obs_space_post.shape[1]
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# Create the action space headers array
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action_header = []
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for x in range(action_length):
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action_header.append("AS_" + str(x))
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# Create the observation space headers array
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obs_header_initial = []
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obs_header_new = []
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for x in range(obs_assets):
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for y in range(obs_features):
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obs_header_initial.append("OSI_" + str(x) + "_" + str(y))
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obs_header_new.append("OSN_" + str(x) + "_" + str(y))
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# Open up a csv file
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header = ["Timestamp", "Episode", "Step", "Reward"]
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header = header + action_header + obs_header_initial + obs_header_new
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now = datetime.now() # current date and time
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time = now.strftime("%Y%m%d_%H%M%S")
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try:
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path = "outputs/results/"
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is_dir = os.path.isdir(path)
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if not is_dir:
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os.makedirs(path)
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filename = "outputs/results/all_transactions_" + time + ".csv"
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csv_file = open(filename, "w", encoding="UTF8", newline="")
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csv_writer = csv.writer(csv_file)
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csv_writer.writerow(header)
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for transaction in _transaction_list:
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csv_data = [
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str(transaction.timestamp),
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str(transaction.episode_number),
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str(transaction.step_number),
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str(transaction.reward),
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]
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csv_data = (
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csv_data
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+ turn_action_space_to_array(transaction.action_space)
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+ turn_obs_space_to_array(
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transaction.obs_space_pre, obs_assets, obs_features
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)
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+ turn_obs_space_to_array(
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transaction.obs_space_post, obs_assets, obs_features
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)
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)
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csv_writer.writerow(csv_data)
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csv_file.close()
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except Exception:
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logging.error("Could not save the transaction file")
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logging.error("Exception occured", exc_info=True)
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