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test_issue_235.py
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test_issue_235.py
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# Copyright (c) 2019-2020, RTE (https://www.rte-france.com)
# See AUTHORS.txt
# This Source Code Form is subject to the terms of the Mozilla Public License, version 2.0.
# If a copy of the Mozilla Public License, version 2.0 was not distributed with this file,
# you can obtain one at http://mozilla.org/MPL/2.0/.
# SPDX-License-Identifier: MPL-2.0
# This file is part of Grid2Op, Grid2Op a testbed platform to model sequential decision making in power systems.
import warnings
import grid2op
from grid2op.Chronics import ChangeNothing
from grid2op.tests.helper_path_test import *
from grid2op.Observation import CompleteObservation
class Issue235TesterObs(CompleteObservation):
def __init__(self,
obs_env=None,
action_helper=None,
random_prng=None,
kwargs_env=None):
CompleteObservation.__init__(
self, obs_env, action_helper, random_prng=random_prng, kwargs_env=kwargs_env
)
self._is_updated = False
def update(self, env, with_forecast=True):
self._is_updated = True
super().update(env, with_forecast)
class Issue235Tester(unittest.TestCase):
"""
This bug was due to the environment that updated the observation even when it diverges.
In this test i checked that the `update` method of the observation is not called even when I simulate
an action that lead to divergence of the powerflow.
"""
def setUp(self) -> None:
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env_nm = "l2rpn_icaps_2021"
# from lightsim2grid import LightSimBackend
# backend=LightSimBackend(),
self.env = grid2op.make(
env_nm, test=True, observation_class=Issue235TesterObs
)
# now set the right observation class for the simulate action
hack_obs_cls = Issue235TesterObs.init_grid(type(self.env))
self.env._observation_space.obs_env.current_obs = hack_obs_cls()
self.env._observation_space.obs_env.current_obs_init = hack_obs_cls()
# now do regular gri2op stuff
self.env.seed(0)
self.env.reset()
def test_diverging_action(self):
final_dict = {
"generators_id": [(19, 1)],
"loads_id": [(30, 2)],
"lines_or_id": [(58, 1)],
"lines_ex_id": [(46, 1), (47, 2)],
}
action = self.env.action_space({"set_bus": final_dict})
obs = self.env.reset()
simobs, simr, simd, siminfo = obs.simulate(action, time_step=0)
assert simd
assert np.all(simobs.gen_p == 0.0)
assert not simobs._is_updated