def test_check_valid(self):
"""test the param.check_valid() is working correctly (accept valid param, reject wrong param)"""
p = Parameters()
p.check_valid() # default params are valid
# boolean attribute
p.NO_OVERFLOW_DISCONNECTION = 1
with self.assertRaises(RuntimeError):
p.check_valid()
p.NO_OVERFLOW_DISCONNECTION = True
p.IGNORE_MIN_UP_DOWN_TIME = "True"
with self.assertRaises(RuntimeError):
p.check_valid()
p.IGNORE_MIN_UP_DOWN_TIME = True
p.ACTIVATE_STORAGE_LOSS = 42.
with self.assertRaises(RuntimeError):
p.check_valid()
p.ACTIVATE_STORAGE_LOSS = False
p.ENV_DC = [1, 2]
with self.assertRaises(RuntimeError):
p.check_valid()
p.ENV_DC = True
p.ALLOW_DISPATCH_GEN_SWITCH_OFF = {1, 2}
with self.assertRaises(RuntimeError):
p.check_valid()
p.ALLOW_DISPATCH_GEN_SWITCH_OFF = False
p.check_valid() # everything valid again
# int types
for attr_nm in [
"NB_TIMESTEP_OVERFLOW_ALLOWED", "NB_TIMESTEP_RECONNECTION",
"NB_TIMESTEP_COOLDOWN_LINE", "NB_TIMESTEP_COOLDOWN_SUB",
"MAX_SUB_CHANGED", "MAX_LINE_STATUS_CHANGED"
]:
try:
self._aux_check_attr_int(p, attr_nm)
except Exception as exc_:
raise RuntimeError(
f"Exception \"{exc_}\" for attribute \"{attr_nm}\"")
# float types
for attr_nm in ["HARD_OVERFLOW_THRESHOLD", "INIT_STORAGE_CAPACITY"]:
try:
self._aux_check_attr_float(p, attr_nm)
except Exception as exc_:
raise RuntimeError(
f"Exception \"{exc_}\" for attribute \"{attr_nm}\"")
p.HARD_OVERFLOW_THRESHOLD = 0.5 # should not validate
with self.assertRaises(RuntimeError):
p.check_valid()
p.ACTIVATE_STORAGE_LOSS = -0.1 # should not validate
with self.assertRaises(RuntimeError):
p.check_valid()
p.ACTIVATE_STORAGE_LOSS = 1.1 # should not validate
with self.assertRaises(RuntimeError):
p.check_valid()
def test_change_parameters_forecast(self):
"""
this is basic test of the env.change_forecast_parameters() function
It only checks the right parameters are used for the environment (or obs_env) but it do not currently
check the observation (with the cooldown for example)
"""
param = Parameters()
param.NO_OVERFLOW_DISCONNECTION = True
param.MAX_SUB_CHANGED = 5
param.MAX_LINE_STATUS_CHANGED = 5
param.NB_TIMESTEP_COOLDOWN_LINE = 5
param.NB_TIMESTEP_COOLDOWN_SUB = 5
param.ENV_DC = True
real_orig_param = copy.deepcopy(self.env1.parameters)
self.env1.change_forecast_parameters(param)
# in these first checks, parameters are not modified
self._check_env_param(self.env1, real_orig_param)
self._check_env_param(self.env1._observation_space.obs_env,
real_orig_param)
obs, *_ = self.env1.step(self.env1.action_space())
_ = obs.simulate(self.env1.action_space())
self._check_env_param(self.env1, real_orig_param)
self._check_env_param(self.env1._observation_space.obs_env,
real_orig_param)
# reset triggers the modification
obs = self.env1.reset()
_ = obs.simulate(self.env1.action_space())
self._check_env_param(self.env1, real_orig_param)
self._check_env_param(self.env1._observation_space.obs_env, param)
