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test_alert_gym_compat.py
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test_alert_gym_compat.py
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# Copyright (c) 2019-2023, 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.
from grid2op.tests.helper_path_test import *
import grid2op
from grid2op.dtypes import dt_bool, dt_int
from grid2op.tests.helper_path_test import *
from grid2op.Action import PlayableAction
try:
from grid2op.gym_compat import (GymEnv, GYM_AVAILABLE, GYMNASIUM_AVAILABLE)
from grid2op.gym_compat import MultiToTupleConverter
from grid2op.gym_compat import (
BoxGymObsSpace,
BoxGymActSpace,
MultiDiscreteActSpace,
DiscreteActSpace,
)
CAN_DO_TEST = True
except ImportError:
CAN_DO_TEST = False
if CAN_DO_TEST:
if GYMNASIUM_AVAILABLE:
import gymnasium as gym_for_test_agc
else:
import gym as gym_for_test_agc
import pdb
import warnings
warnings.simplefilter("error")
class TestGymAlertCompat(unittest.TestCase):
def _skip_if_no_gym(self):
if not CAN_DO_TEST:
self.skipTest("Gym is not available")
def setUp(self) -> None:
self._skip_if_no_gym()
self.env_nm = os.path.join(
PATH_DATA_TEST, "l2rpn_idf_2023_with_alert"
)
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
self.env = grid2op.make(
self.env_nm, test=True, _add_to_name="TestGymAlertCompat"
)
self.env.seed(0)
self.env.reset() # seed part !
def tearDown(self) -> None:
self.env.close()
def test_print_alert(self):
env_gym = GymEnv(self.env)
str_ = env_gym.action_space.__str__()
assert str_ == ("Dict('change_bus': MultiBinary(177), 'change_line_status': MultiBinary(59), "
"'curtail': Box([-1. 0. -1. -1. -1. 0. 0. 0. 0. 0. -1. 0. 0. -1. 0. 0. -1. "
"0.\n 0. -1. -1. -1.], [-1. 1. -1. -1. -1. 1. 1. 1. 1. 1. -1. 1. 1. -1. 1. "
"1. -1. 1.\n 1. -1. -1. -1.], (22,), float32), 'raise_alert': MultiBinary(10), "
"'redispatch': Box([ -1.4 0. -1.4 -10.4 -1.4 0. 0. 0. 0. 0. -2.8 "
"0.\n 0. -2.8 0. 0. -4.3 0. 0. -2.8 -8.5 -9.9], [ 1.4 0. 1.4 10.4 "
"1.4 0. 0. 0. 0. 0. 2.8 0. 0. 2.8\n 0. 0. 4.3 0. 0. 2.8 8.5 9.9], "
"(22,), float32), 'set_bus': Box(-1, 2, (177,), int32), 'set_line_status': Box(-1, 1, (59,), int32))")
str_ = env_gym.observation_space.__str__()
assert str_ == ("Dict('_shunt_bus': Box(-2147483648, 2147483647, (6,), int32), '_shunt_p': Box(-inf, inf, (6,), float32), "
"'_shunt_q': Box(-inf, inf, (6,), float32), '_shunt_v': Box(-inf, inf, (6,), float32), "
"'a_ex': Box(0.0, inf, (59,), float32), 'a_or': Box(0.0, inf, (59,), float32), 'active_alert': MultiBinary(10), "
"'actual_dispatch': Box([ -50. -67.2 -50. -250. -50. -33.6 -37.3 -37.3 -33.6 -74.7\n -100. -37.3 -37.3 "
"-100. -74.7 -74.7 -150. -67.2 -74.7 -400.\n -300. -350. ], [ 50. 67.2 50. 250. 50. 33.6 37.3 37.3 "
"33.6 74.7 100. 37.3\n 37.3 100. 74.7 74.7 150. 67.2 74.7 400. 300. 350. ], (22,), float32), "
"'alert_duration': Box(0, 2147483647, (10,), int32), 'attack_under_alert': Box(-1, 1, (10,), int32), "
"'attention_budget': Box(0.0, inf, (1,), float32), 'current_step': Box(-2147483648, 2147483647, (1,), int32), "
"'curtailment': Box(0.0, 1.0, (22,), float32), 'curtailment_limit': Box(0.0, 1.0, (22,), float32), "
"'curtailment_limit_effective': Box(0.0, 1.0, (22,), float32), 'day': Discrete(32), 'day_of_week': Discrete(8), "
"'delta_time': Box(0.0, inf, (1,), float32), 'duration_next_maintenance': Box(-1, 2147483647, (59,), int32), "
"'gen_margin_down': Box(0.0, [ 1.4 0. 1.4 10.4 1.4 0. 0. 0. 0. 0. 2.8 0. 0. 2.8\n 0. 0. "
"4.3 0. 0. 2.8 8.5 9.9], (22,), float32), 'gen_margin_up': Box(0.0, [ 1.4 0. 1.4 10.4 1.4 0. "
"0. 0. 0. 0. 2.8 0. 0. 2.8\n 0. 0. 4.3 0. 0. 2.8 8.5 9.9], (22,), float32), "
"'gen_p': Box(-734.88995, [ 784.88995 802.08997 784.88995 984.88995 784.88995 768.4899\n "
"772.18994 772.18994 768.4899 809.58997 834.88995 772.18994\n 772.18994 834.88995 "
"809.58997 809.58997 884.88995 802.08997\n 809.58997 1134.8899 1034.8899 1084.8899 ], "
"(22,), float32), 'gen_p_before_curtail': Box(-734.88995, [ 784.88995 802.08997 784.88995 "
"984.88995 784.88995 768.4899\n 772.18994 772.18994 768.4899 809.58997 834.88995 "
"772.18994\n 772.18994 834.88995 809.58997 809.58997 884.88995 802.08997\n 809.58997 "
"1134.8899 1034.8899 1084.8899 ], (22,), float32), 'gen_q': Box(-inf, inf, (22,), float32), "
"'gen_theta': Box(-180.0, 180.0, (22,), float32), 'gen_v': Box(0.0, inf, (22,), float32), "
"'hour_of_day': Discrete(24), 'is_alarm_illegal': Discrete(2), 'line_status': MultiBinary(59), "
"'load_p': Box(-inf, inf, (37,), float32), 'load_q': Box(-inf, inf, (37,), float32), "
"'load_theta': Box(-180.0, 180.0, (37,), float32), 'load_v': Box(0.0, inf, (37,), float32), "
"'max_step': Box(-2147483648, 2147483647, (1,), int32), 'minute_of_hour': Discrete(60), "
"'month': Discrete(13), 'p_ex': Box(-inf, inf, (59,), float32), 'p_or': Box(-inf, inf, (59,), float32), "
"'q_ex': Box(-inf, inf, (59,), float32), 'q_or': Box(-inf, inf, (59,), float32), 'rho': Box(0.0, inf, (59,), float32), "
"'target_dispatch': Box([ -50. -67.2 -50. -250. -50. -33.6 -37.3 -37.3 -33.6 -74.7\n -100. "
"-37.3 -37.3 -100. -74.7 -74.7 -150. -67.2 -74.7 -400.\n -300. -350. ], [ 50. 67.2 50. 250. 50. "
"33.6 37.3 37.3 33.6 74.7 100. 37.3\n 37.3 100. 74.7 74.7 150. 67.2 74.7 400. 300. 350. ], "
"(22,), float32), 'thermal_limit': Box(0.0, inf, (59,), float32), 'theta_ex': Box(-180.0, 180.0, (59,), "
"float32), 'theta_or': Box(-180.0, 180.0, (59,), float32), 'time_before_cooldown_line': Box(0, 96, (59,), int32), "
"'time_before_cooldown_sub': Box(0, 3, (36,), int32), 'time_next_maintenance': Box(-1, 2147483647, (59,), int32), "
"'time_since_last_alarm': Box(-1, 2147483647, (1,), int32), 'time_since_last_alert': Box(-1, 2147483647, (10,), int32), "
"'time_since_last_attack': Box(-1, 2147483647, (10,), int32), 'timestep_overflow': Box(-2147483648, 2147483647, (59,), int32), "
"'topo_vect': Box(-1, 2, (177,), int32), 'total_number_of_alert': Box(0, 2147483647, (1,), int32), 'v_ex': Box(0.0, inf, "
"(59,), float32), 'v_or': Box(0.0, inf, (59,), float32), 'was_alarm_used_after_game_over': Discrete(2), "
"'was_alert_used_after_attack': Box(-1, 1, (10,), int32), 'year': Discrete(2100))")
act = self.env.action_space()
act.raise_alert = [2]
act_gym = env_gym.action_space.to_gym(act)
act_str = act_gym.__str__()
assert act_str == ("OrderedDict([('change_bus', array([False, False, False, False, False, False, False, False, False,"
"\n False, False, False, False, False, False, False, False, False,\n "
"False, False, False, False, False, False, False, False, False,\n False, False, False, "
"False, False, False, False, False, False,\n False, False, False, False, False, False, False, "
"False, False,\n False, False, False, False, False, False, False, False, False,\n False, "
"False, False, False, False, False, False, False, False,\n False, False, False, False, False, False, "
"False, False, False,\n False, False, False, False, False, False, False, False, False,\n "
"False, False, False, False, False, False, False, False, False,\n False, False, False, False, False, "
"False, False, False, False,\n False, False, False, False, False, False, False, False, False,\n "
"False, False, False, False, False, False, False, False, False,\n False, False, False, False, False, "
"False, False, False, False,\n False, False, False, False, False, False, False, False, False,\n "
"False, False, False, False, False, False, False, False, False,\n False, False, False, False, False, "
"False, False, False, False,\n False, False, False, False, False, False, False, False, False,\n "
"False, False, False, False, False, False, False, False, False,\n False, False, False, False, False, "
"False])), ('change_line_status', array([False, False, False, False, False, False, False, False, False,\n "
"False, False, False, False, False, False, False, False, False,\n False, False, False, False, False, "
"False, False, False, False,\n False, False, False, False, False, False, False, False, False,\n "
"False, False, False, False, False, False, False, False, False,\n False, False, False, False, False, "
"False, False, False, False,\n False, False, False, False, False])), ('curtail', array([-1., -1., -1., "
"-1., -1., -1., -1., -1., -1., -1., -1., -1., -1.,\n -1., -1., -1., -1., -1., -1., -1., -1., -1.], "
"dtype=float32)), ('raise_alert', array([False, False, True, False, False, False, False, False, False,\n "
"False])), ('redispatch', array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n "
"0., 0., 0., 0., 0.], dtype=float32)), ('set_bus', array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, "
"0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, "
"0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, "
"0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, "
"0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, "
"0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0], dtype=int32)), "
"('set_line_status', array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, "
"0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32))])")
def test_convert_alert_to_gym(self):
"""test i can create the env"""
env_gym = GymEnv(self.env)
dim_act_space = np.sum(
[
np.sum(env_gym.action_space[el].shape)
for el in env_gym.action_space.spaces
]
)
assert dim_act_space == 526, f"{dim_act_space} != 526"
dim_obs_space = np.sum(
[
np.sum(env_gym.observation_space[el].shape).astype(int)
for el in env_gym.observation_space.spaces
]
)
size_th = 1718 # as of grid2Op 1.9.1 (where alerts are added)
assert (
dim_obs_space == size_th
), f"Size should be {size_th} but is {dim_obs_space}"
# test that i can do basic stuff there
obs, info = env_gym.reset()
for k in env_gym.observation_space.spaces.keys():
assert obs[k] in env_gym.observation_space[k], f"error for key: {k}"
act = env_gym.action_space.sample()
obs2, reward2, done2, truncated, info2 = env_gym.step(act)
assert obs2 in env_gym.observation_space
# test for the __str__ method (it could crash)
str_ = self.env.action_space.__str__()
str_ = self.env.observation_space.__str__()
def test_ignore_some_alert_attributes(self):
"""test the ignore_attr method"""
env_gym = GymEnv(self.env)
env_gym.action_space = env_gym.action_space.ignore_attr("last_alert").ignore_attr(
"was_alert_used_after_attack"
)
dim_act_space = np.sum(
[
np.sum(env_gym.action_space[el].shape)
for el in env_gym.action_space.spaces
]
)
assert dim_act_space == 526, f"{dim_act_space=} != 526"
def test_keep_only_2_alert_attr(self):
"""test the keep_only_attr method"""
env_gym = GymEnv(self.env)
env_gym.observation_space = env_gym.observation_space.keep_only_attr(
["last_alert",
"was_alert_used_after_attack"
]
)
new_dim_obs_space = np.sum(
[
np.sum(env_gym.observation_space[el].shape).astype(int)
for el in env_gym.observation_space.spaces
]
)
assert new_dim_obs_space == 10, f"{new_dim_obs_space=} != 10"
def test_all_together_in_alert(self):
"""combine all test above (for the action space)"""
env_gym = GymEnv(self.env)
env_gym.action_space = env_gym.action_space.reencode_space(
"raise_alert", MultiToTupleConverter()
)
assert isinstance(env_gym.action_space["raise_alert"], gym_for_test_agc.spaces.Tuple)
act_gym = env_gym.action_space.sample()
act_glop = env_gym.action_space.from_gym(act_gym)
act_gym2 = env_gym.action_space.to_gym(act_glop)
act_glop2 = env_gym.action_space.from_gym(act_gym2)
assert act_gym in env_gym.action_space
assert act_gym2 in env_gym.action_space
assert isinstance(act_gym["raise_alert"], tuple)
# check the gym actions are the same
for k in act_gym.keys():
assert np.array_equal(act_gym[k], act_gym2[k]), f"error for {k}"
for k in act_gym2.keys():
assert np.array_equal(act_gym[k], act_gym2[k]), f"error for {k}"
# check grid2op action are the same
assert act_glop == act_glop2
def test_low_high_alert_obs_space(self):
"""test the observation space, by default, is properly converted"""
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = grid2op.make(
"l2rpn_idf_2023", test=True, _add_to_name="TestGymCompatModule"
)
env.seed(0)
env.reset() # seed part !
env_gym = GymEnv(env)
for key, low, high in zip(["attack_under_alert",
"time_since_last_alert",
"alert_duration",
"time_since_last_attack",
"was_alert_used_after_attack"],
[np.zeros(env.dim_alerts, dtype=dt_int) - 1,
np.zeros(env.dim_alerts, dtype=dt_int) - 1,
np.zeros(env.dim_alerts, dtype=dt_int),
np.zeros(env.dim_alerts, dtype=dt_int) - 1,
np.zeros(env.dim_alerts, dtype=dt_int) - 1],
[np.zeros(env.dim_alerts, dtype=dt_int) + 1,
np.zeros(env.dim_alerts, dtype=dt_int) + 2147483647,
np.zeros(env.dim_alerts, dtype=dt_int) + 2147483647,
np.zeros(env.dim_alerts, dtype=dt_int) + 2147483647,
np.zeros(env.dim_alerts, dtype=dt_int) + 1]):
assert key in env_gym.observation_space.spaces
assert isinstance(env_gym.observation_space[key], gym_for_test_agc.spaces.Box)
assert env_gym.observation_space[key].shape == (env.dim_alerts, )
assert env_gym.observation_space[key].dtype == dt_int
assert np.array_equal(
env_gym.observation_space[key].low, low
), f"issue for {key}"
assert np.array_equal(
env_gym.observation_space[key].high, high
), f"issue for {key}"
key = "total_number_of_alert"
assert key in env_gym.observation_space.spaces
assert isinstance(env_gym.observation_space[key], gym_for_test_agc.spaces.Box)
assert env_gym.observation_space[key].dtype == dt_int
assert env_gym.observation_space[key].shape == (1, )
assert env_gym.observation_space.spaces[key].low == [0]
assert env_gym.observation_space.spaces[key].high == [2147483647]
key = "active_alert"
assert key in env_gym.observation_space.spaces
assert isinstance(env_gym.observation_space[key], gym_for_test_agc.spaces.MultiBinary)
assert env_gym.observation_space[key].shape == (22, )
class TestBoxGymObsSpaceWithAlert(unittest.TestCase):
def _skip_if_no_gym(self):
if not CAN_DO_TEST:
self.skipTest("Gym is not available")
def setUp(self) -> None:
self._skip_if_no_gym()
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
self.env = grid2op.make(
"l2rpn_idf_2023",
test=True
)
self.env.seed(0)
self.env.reset() # seed part !
self.obs_env = self.env.reset()
self.env_gym = GymEnv(self.env)
def test_can_create(self):
kept_attr = [
"active_alert",
"alert_duration",
"attack_under_alert",
"time_since_last_alert",
"time_since_last_attack",
"total_number_of_alert",
"was_alert_used_after_attack"
]
self.env_gym.observation_space = BoxGymObsSpace(
self.env.observation_space,
attr_to_keep=kept_attr,
)
obs_gym, info = self.env_gym.reset()
assert self.env_gym.observation_space._attr_to_keep == sorted(kept_attr)
assert len(obs_gym) == 133, f"{len(obs_gym)} vs 133"
assert self.env_gym.observation_space.dtype == dt_int
assert obs_gym in self.env_gym.observation_space
class TestAllGymActSpaceWithAlert(unittest.TestCase):
def _skip_if_no_gym(self):
if not CAN_DO_TEST:
self.skipTest("Gym is not available")
def setUp(self) -> None:
self._skip_if_no_gym()
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
self.env = grid2op.make(
os.path.join(PATH_DATA_TEST, "l2rpn_idf_2023_with_alert"),
test=True,
action_class=PlayableAction,
_add_to_name="TestAllGymActSpaceWithAlert",
)
self.env.seed(0)
self.env.reset() # seed part !
self.obs_env = self.env.reset()
self.env_gym = GymEnv(self.env)
def test_supported_keys_box(self):
"""test all the attribute of the action can be modified when the action is converted to a float"""
all_attr = {
"raise_alert": len(self.env.alertable_line_ids),
}
func_check = {
"raise_alert": lambda act: np.any(act.raise_alert)
and ~np.all(act.raise_alert),
}
for attr_nm in sorted(all_attr.keys()):
kept_attr = [attr_nm]
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
self.env_gym.action_space = BoxGymActSpace(
self.env.action_space, attr_to_keep=kept_attr
)
self.env_gym.action_space.seed(0)
gym_act = self.env_gym.action_space.sample()
grid2op_act = self.env_gym.action_space.from_gym(gym_act)
assert isinstance(grid2op_act, PlayableAction)
assert self.env_gym.action_space._attr_to_keep == kept_attr
assert (
len(self.env_gym.action_space.sample()) == all_attr[attr_nm]
), f"wrong size for {attr_nm}"
# check that all types
ok_ = func_check[attr_nm](grid2op_act)
if not ok_ and attr_nm != "set_storage":
# NB for "set_storage" as there are no storage unit on this grid, then this test is doomed to fail
# this is why i don't perform it in this case
raise RuntimeError(
f"Some property of the actions are not modified for attr {attr_nm}"
)
def test_supported_keys_multidiscrete(self):
"""test that i can modify every action with the keys"""
dims = {
"raise_alert": len(self.env.alertable_line_ids),
}
func_check = {
"raise_alert": lambda act: np.any(act.raise_alert)
and ~np.all(act.raise_alert),
}
for attr_nm in sorted(dims.keys()):
kept_attr = [attr_nm]
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
self.env_gym.action_space = MultiDiscreteActSpace(
self.env.action_space, attr_to_keep=kept_attr
)
assert self.env_gym.action_space._attr_to_keep == kept_attr
self.env_gym.action_space.seed(0)
assert (
len(self.env_gym.action_space.sample()) == dims[attr_nm]
), f"wrong size for {attr_nm}"
grid2op_act = self.env_gym.action_space.from_gym(
self.env_gym.action_space.sample()
)
assert isinstance(grid2op_act, PlayableAction)
# check that all types
ok_ = func_check[attr_nm](grid2op_act)
if not ok_ and attr_nm != "set_storage":
# NB for "set_storage" as there are no storage unit on this grid, then this test is doomed to fail
# this is why i don't perform it in this case
raise RuntimeError(
f"Some property of the actions are not modified for attr {attr_nm}"
)
class ObsAlertAttr(unittest.TestCase):
def test_alert_attr_in_obs(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = grid2op.make("l2rpn_idf_2023", test=True,
action_class=PlayableAction,
_add_to_name="ObsAlertAttr")
gym_env = GymEnv(env)
obs, info = gym_env.reset()
alert_attrs = [
"active_alert",
"alert_duration",
"attack_under_alert",
"time_since_last_alert",
"time_since_last_attack",
"total_number_of_alert",
"was_alert_used_after_attack"
]
for el in alert_attrs:
assert el in obs.keys(), f"\"{el}\" not in obs.keys()"
if __name__ == "__main__":
unittest.main()