def test_creation_ControlVoltage(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True) as env:
volt_cont = ControlVoltageFromFile(
controler_backend=env.backend, gridobj=env.backend)
def test_case5_redispatch_available(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True) as env:
obs = env.reset()
assert env.redispatching_unit_commitment_availble == True
msg_tmp = "chronics at: {}".format(chron_name)
msg_tmp += "\ttotal reward: {:.6f}".format(cum_reward)
msg_tmp += "\ttime steps: {:.0f}/{:.0f}".format(nb_time_step, max_ts)
print(msg_tmp)
if save_gif:
save_log_gif(logs_path, res)
if __name__ == "__main__":
# Parse command line
args = cli()
# Create dataset env
env = make(args.data_dir,
reward_class=RedispReward,
action_class=TopologyAction,
other_rewards={
"bridge": BridgeReward,
"overflow": CloseToOverflowReward,
"distance": DistanceReward
})
# Call evaluation interface
evaluate(env,
load_path=args.load_file,
logs_path=args.logs_dir,
nb_episode=args.nb_episode,
nb_process=args.nb_process,
max_steps=args.max_steps,
verbose=args.verbose,
save_gif=args.gif)
def test_create_dev(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = make("l2rpn_neurips_2020_track2", test=True)
assert env != None
assert isinstance(env, MultiMixEnvironment)
def test_case14_fromfile(self):
self.skipTest("deprecated test")
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = make("rte_case14_fromfile", test=True)
obs = env.reset()
def test_voltagecontroler_class(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, voltagecontroler_class=ControlVoltageFromFile) as env:
obs = env.reset()
def test_opponent_class(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, opponent_class=BaseOpponent) as env:
obs = env.reset()
def test_case14test_thermals(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case14_test", test=True) as env:
obs = env.reset()
assert np.all(env._thermal_limit_a == case14_test_TH_LIM)
def test_param(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, param=Parameters()) as env:
obs = env.reset()
def setUp(self):
self.max_iter = 10
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
self.env = make("rte_case14_realistic", test=True)
self.env.chronics_handler.set_max_iter(self.max_iter)
def test_load_error(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with self.assertRaises(EnvError):
with make("rte_case14_realistic", test=True, chronics_path="/answer/life/42"):
pass
def setUp(self):
# powergrid
self.tolvect = 1e-2
self.tol_one = 1e-4
self.env = make("case5_example")
def setUp(self):
# Create env with custom params
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
self.params = Parameters()
self.env = make("rte_case5_example", test=True, param=self.params)
def test_sub_dont_change(self):
"""test that i cannot reconect a powerline by acting on the substation"""
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
params = Parameters()
params.MAX_SUB_CHANGED = 1
params.MAX_LINE_STATUS_CHANGED = 1
params.NB_TIMESTEP_COOLDOWN_LINE = 3
params.NB_TIMESTEP_COOLDOWN_SUB = 3
params.NO_OVERFLOW_DISCONNECTION = True
env = make("rte_case5_example", test=True, param=params)
l_id = 2
# prepare the actions
disco_act = env.action_space.disconnect_powerline(line_id=l_id)
reco_act = env.action_space.reconnect_powerline(line_id=l_id,
bus_or=1,
bus_ex=1)
set_or_1_act = env.action_space(
{"set_bus": {
"lines_or_id": [(l_id, 1)]
}})
set_ex_1_act = env.action_space(
{"set_bus": {
"lines_ex_id": [(l_id, 1)]
}})
obs, reward, done, info = env.step(disco_act)
assert obs.rho[l_id] == 0.
assert obs.time_before_cooldown_line[l_id] == 3
assert env.backend._grid.line.iloc[l_id]["in_service"] == False
# i have a cooldown to 2 so i cannot reconnect it
assert obs.time_before_cooldown_line[l_id] == 3
obs, reward, done, info = env.step(reco_act)
assert obs.rho[l_id] == 0.
assert info["is_illegal"]
assert obs.time_before_cooldown_line[l_id] == 2
assert env.backend._grid.line.iloc[l_id]["in_service"] == False
# this is not supposed to reconnect it either (cooldown)
assert obs.time_before_cooldown_line[l_id] == 2
obs, reward, done, info = env.step(set_or_1_act)
# pdb.set_trace()
# assert info["is_illegal"]
assert env.backend._grid.line.iloc[l_id]["in_service"] == False
assert obs.rho[l_id] == 0.
assert obs.time_before_cooldown_line[l_id] == 1
assert env.backend._grid.line.iloc[l_id]["in_service"] == False
# and neither is that (cooldown)
assert obs.time_before_cooldown_line[l_id] == 1
obs, reward, done, info = env.step(set_ex_1_act)
assert obs.rho[l_id] == 0.
assert obs.time_before_cooldown_line[l_id] == 0
assert env.backend._grid.line.iloc[l_id]["in_service"] == False
# and now i can reconnect
obs, reward, done, info = env.step(reco_act)
assert obs.rho[l_id] != 0.
assert obs.time_before_cooldown_line[l_id] == 3
assert env.backend._grid.line.iloc[l_id]["in_service"] == True
def test_names_chronics_to_backend(self):
self.skipTest("deprecated test for now")
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, names_chronics_to_backend={}) as env:
obs = env.reset()
def test_backend(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, backend=PandaPowerBackend()) as env:
obs = env.reset()
def test_chronics_class(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, chronics_class=Multifolder) as env:
pass
def test_obsclass(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, observation_class=CompleteObservation) as env:
obs = env.reset()
def test_other_rewards(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, other_rewards={"test": L2RPNReward}) as env:
obs = env.reset()
def test_gamerules(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, gamerules_class=AlwaysLegal) as env:
obs = env.reset()
def test_opponent_init_budget(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, opponent_init_budget=10) as env:
obs = env.reset()
def test_chronics_path(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, chronics_path=EXAMPLE_CHRONICSPATH) as env:
obs = env.reset()
def test_create_from_path(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = make(PATH_DATA_MULTIMIX)
assert env != None
assert isinstance(env, MultiMixEnvironment)
def test_reward_class(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, reward_class=FlatReward) as env:
obs = env.reset()
def test_case5_example(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = make("rte_case5_example", test=True)
obs = env.reset()
def test_action_class(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, action_class=BaseAction) as env:
obs = env.reset()
def test_case14_redisp(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = make("rte_case14_redisp", test=True)
obs = env.reset()
def test_grid_path(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True, grid_path=EXAMPLE_CASEFILE) as env:
obs = env.reset()
if save_gif:
if verbose:
print("Saving the gif of the episodes")
save_log_gif(logs_path, res)
return agent, res
if __name__ == "__main__":
from grid2op.Reward import L2RPNSandBoxScore, L2RPNReward
from l2rpn_baselines.utils import cli_eval
# Parse command line
args = cli_eval().parse_args()
# Create dataset env
env = make(args.env_name,
reward_class=L2RPNSandBoxScore,
other_rewards={"reward": L2RPNReward})
# Call evaluation interface
evaluate(env,
name=args.name,
load_path=os.path.abspath(args.load_path),
logs_path=args.logs_dir,
nb_episode=args.nb_episode,
nb_process=args.nb_process,
max_steps=args.max_steps,
verbose=args.verbose,
save_gif=args.save_gif)
def setUp(self) -> None:
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
self.env1 = make("rte_case14_test", test=True)
self.env2 = make("rte_case5_example", test=True)
