#1629 - Added assertion in the test that checks the length of the all transactions file too.
- Added supporting function on the TempPrimaiteSession class that reads the all transactions csv file. - Some renaming of the functions.
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@@ -5,7 +5,7 @@ import shutil
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import tempfile
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from datetime import datetime
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from pathlib import Path
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from typing import Any, Dict, Union
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from typing import Any, Dict, Tuple, Union
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from unittest.mock import patch
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import pytest
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@@ -13,7 +13,7 @@ import pytest
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from primaite import getLogger
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from primaite.environment.primaite_env import Primaite
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from primaite.primaite_session import PrimaiteSession
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from primaite.utils.session_output_reader import av_rewards_dict
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from primaite.utils.session_output_reader import all_transactions_dict, av_rewards_dict
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from tests.mock_and_patch.get_session_path_mock import get_temp_session_path
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ACTION_SPACE_NODE_VALUES = 1
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@@ -37,16 +37,26 @@ class TempPrimaiteSession(PrimaiteSession):
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super().__init__(training_config_path, lay_down_config_path)
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self.setup()
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def learn_av_reward_per_episode(self) -> Dict[int, float]:
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def learn_av_reward_per_episode_dict(self) -> Dict[int, float]:
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"""Get the learn av reward per episode from file."""
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csv_file = f"average_reward_per_episode_{self.timestamp_str}.csv"
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return av_rewards_dict(self.learning_path / csv_file)
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def eval_av_reward_per_episode_csv(self) -> Dict[int, float]:
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def eval_av_reward_per_episode_dict(self) -> Dict[int, float]:
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"""Get the eval av reward per episode from file."""
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csv_file = f"average_reward_per_episode_{self.timestamp_str}.csv"
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return av_rewards_dict(self.evaluation_path / csv_file)
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def learn_all_transactions_dict(self) -> Dict[Tuple[int, int], Dict[str, Any]]:
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"""Get the learn all transactions from file."""
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csv_file = f"all_transactions_{self.timestamp_str}.csv"
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return all_transactions_dict(self.learning_path / csv_file)
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def eval_all_transactions_dict(self) -> Dict[Tuple[int, int], Dict[str, Any]]:
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"""Get the eval all transactions from file."""
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csv_file = f"all_transactions_{self.timestamp_str}.csv"
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return all_transactions_dict(self.evaluation_path / csv_file)
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def metadata_file_as_dict(self) -> Dict[str, Any]:
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"""Read the session_metadata.json file and return as a dict."""
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with open(self.session_path / "session_metadata.json", "r") as file:
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