#917 - Integrated the PrimaiteSession into all tests.

- Ran a full pre-commit hook and thus encountered tons of fixes required
This commit is contained in:
Chris McCarthy
2023-06-30 09:08:13 +01:00
parent b6d93ad33f
commit 7b1f889415
62 changed files with 1880 additions and 802 deletions

View File

@@ -1,37 +1,151 @@
# Crown Copyright (C) Dstl 2022. DEFCON 703. Shared in confidence.
import datetime
import shutil
import tempfile
import time
from datetime import datetime
from pathlib import Path
from typing import Union
from typing import Dict, Union
from unittest.mock import patch
import pytest
from primaite import getLogger
from primaite.common.enums import AgentIdentifier
from primaite.environment.primaite_env import Primaite
from primaite.primaite_session import PrimaiteSession
from primaite.utils.session_output_reader import av_rewards_dict
from tests.mock_and_patch.get_session_path_mock import get_temp_session_path
ACTION_SPACE_NODE_VALUES = 1
ACTION_SPACE_NODE_ACTION_VALUES = 1
_LOGGER = getLogger(__name__)
def _get_temp_session_path(session_timestamp: datetime) -> Path:
class TempPrimaiteSession(PrimaiteSession):
"""
A temporary PrimaiteSession class.
Uses context manager for deletion of files upon exit.
"""
def __init__(
self,
training_config_path: Union[str, Path],
lay_down_config_path: Union[str, Path],
):
super().__init__(training_config_path, lay_down_config_path)
self.setup()
def learn_av_reward_per_episode(self) -> Dict[int, float]:
"""Get the learn av reward per episode from file."""
csv_file = f"average_reward_per_episode_{self.timestamp_str}.csv"
return av_rewards_dict(self.learning_path / csv_file)
def eval_av_reward_per_episode_csv(self) -> Dict[int, float]:
"""Get the eval av reward per episode from file."""
csv_file = f"average_reward_per_episode_{self.timestamp_str}.csv"
return av_rewards_dict(self.evaluation_path / csv_file)
@property
def env(self) -> Primaite:
"""Direct access to the env for ease of testing."""
return self._agent_session._env # noqa
def __enter__(self):
return self
def __exit__(self, type, value, tb):
del self._agent_session._env.episode_av_reward_writer
del self._agent_session._env.transaction_writer
shutil.rmtree(self.session_path)
shutil.rmtree(self.session_path.parent)
_LOGGER.debug(f"Deleted temp session directory: {self.session_path}")
@pytest.fixture
def temp_primaite_session(request):
"""
Provides a temporary PrimaiteSession instance.
It's temporary as it uses a temporary directory as the session path.
To use this fixture you need to:
- parametrize your test function with:
- "temp_primaite_session"
- [[path to training config, path to lay down config]]
- Include the temp_primaite_session fixture as a param in your test
function.
- use the temp_primaite_session as a context manager assigning is the
name 'session'.
.. code:: python
from primaite.config.lay_down_config import dos_very_basic_config_path
from primaite.config.training_config import main_training_config_path
@pytest.mark.parametrize(
"temp_primaite_session",
[
[main_training_config_path(), dos_very_basic_config_path()]
],
indirect=True
)
def test_primaite_session(temp_primaite_session):
with temp_primaite_session as session:
# Learning outputs are saved in session.learning_path
session.learn()
# Evaluation outputs are saved in session.evaluation_path
session.evaluate()
# To ensure that all files are written, you must call .close()
session.close()
# If you need to inspect any session outputs, it must be done
# inside the context manager
# Now that we've exited the context manager, the
# session.session_path directory and its contents are deleted
"""
training_config_path = request.param[0]
lay_down_config_path = request.param[1]
with patch(
"primaite.agents.agent.get_session_path", get_temp_session_path
) as mck:
mck.session_timestamp = datetime.now()
return TempPrimaiteSession(training_config_path, lay_down_config_path)
@pytest.fixture
def temp_session_path() -> Path:
"""
Get a temp directory session path the test session will output to.
:param session_timestamp: This is the datetime that the session started.
:return: The session directory path.
"""
session_timestamp = datetime.now()
date_dir = session_timestamp.strftime("%Y-%m-%d")
session_path = session_timestamp.strftime("%Y-%m-%d_%H-%M-%S")
session_path = Path(tempfile.gettempdir()) / "primaite" / date_dir / session_path
session_path = (
Path(tempfile.gettempdir()) / "primaite" / date_dir / session_path
)
session_path.mkdir(exist_ok=True, parents=True)
return session_path
def _get_primaite_env_from_config(
training_config_path: Union[str, Path], lay_down_config_path: Union[str, Path]
training_config_path: Union[str, Path],
lay_down_config_path: Union[str, Path],
temp_session_path,
):
"""Takes a config path and returns the created instance of Primaite."""
session_timestamp: datetime = datetime.now()
session_path = _get_temp_session_path(session_timestamp)
session_path = temp_session_path(session_timestamp)
timestamp_str = session_timestamp.strftime("%Y-%m-%d_%H-%M-%S")
env = Primaite(
@@ -45,7 +159,7 @@ def _get_primaite_env_from_config(
# TOOD: This needs t be refactored to happen outside. Should be part of
# a main Session class.
if env.training_config.agent_identifier == "GENERIC":
if env.training_config.agent_identifier is AgentIdentifier.RANDOM:
run_generic(env, config_values)
return env