-
Notifications
You must be signed in to change notification settings - Fork 116
/
test_MultiMix.py
326 lines (275 loc) · 11.3 KB
/
test_MultiMix.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
# 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 tempfile
from grid2op.tests.helper_path_test import *
from grid2op.Environment import MultiMixEnvironment
from grid2op.Environment import BaseEnv
from grid2op.Observation import CompleteObservation
from grid2op.Parameters import Parameters
from grid2op.Reward import GameplayReward, L2RPNReward
from grid2op.Exceptions import EnvError, NoForecastAvailable
from grid2op.Backend import PandaPowerBackend
from grid2op.Opponent import BaseOpponent
from grid2op.dtypes import dt_float
import warnings
warnings.simplefilter("error")
class TestMultiMixEnvironment(unittest.TestCase):
def test_creation(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
assert mme.current_obs is not None
assert mme.current_env is not None
def test_create_fail(self):
with self.assertRaises(EnvError):
mme = MultiMixEnvironment("/tmp/error")
with tempfile.TemporaryDirectory() as tmpdir:
with self.assertRaises(EnvError):
mme = MultiMixEnvironment(tmpdir)
def test_creation_with_params(self):
p = Parameters()
p.MAX_SUB_CHANGED = 666
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX, param=p)
assert mme.current_obs is not None
assert mme.current_env is not None
assert mme.parameters.MAX_SUB_CHANGED == 666
def test_creation_with_other_rewards(self):
p = Parameters()
p.NO_OVERFLOW_DISCONNECTION = True
oth_r = {
"game": GameplayReward,
"l2rpn": L2RPNReward,
}
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX,
param=p,
other_rewards=oth_r)
assert mme.current_obs is not None
assert mme.current_env is not None
o, r, d, i = mme.step(mme.action_space({}))
assert i is not None
assert "rewards" in i
assert "game" in i["rewards"]
assert "l2rpn" in i["rewards"]
def test_creation_with_backend(self):
class DummyBackend1(PandaPowerBackend):
def dummy(self):
return True
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX,
backend=DummyBackend1())
assert mme.current_obs is not None
assert mme.current_env is not None
for env in mme:
assert env.backend.dummy() == True
def test_creation_with_backend_are_not_shared(self):
class DummyBackend2(PandaPowerBackend):
def __init__(self):
super().__init__()
self.calls = 0
def dummy(self):
r = self.calls
self.calls += 1
return r
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX,
backend=DummyBackend2())
assert mme.current_obs is not None
assert mme.current_env is not None
for t in range(3):
for env in mme:
dummy = env.backend.dummy()
assert dummy == t
def test_creation_with_opponent(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX,
opponent_class=BaseOpponent,
opponent_init_budget=42.0,
opponent_budget_per_ts=0.42)
assert mme.current_obs is not None
assert mme.current_env is not None
for env in mme:
assert env._opponent_class == BaseOpponent
assert env._opponent_init_budget == dt_float(42.0)
assert env._opponent_budget_per_ts == dt_float(0.42)
def test_reset(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
mme.reset()
assert mme.current_obs is not None
assert mme.current_env is not None
def test_reset_with_params(self):
p = Parameters()
p.MAX_SUB_CHANGED = 666
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX, param=p)
mme.reset()
assert mme.current_obs is not None
assert mme.current_env is not None
assert mme.parameters.MAX_SUB_CHANGED == 666
def test_reset_with_other_rewards(self):
p = Parameters()
p.NO_OVERFLOW_DISCONNECTION = True
oth_r = {
"game": GameplayReward,
"l2rpn": L2RPNReward,
}
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX,
param=p,
other_rewards=oth_r)
mme.reset()
assert mme.current_obs is not None
assert mme.current_env is not None
o, r, d, i = mme.step(mme.action_space({}))
assert i is not None
assert "rewards" in i
assert "game" in i["rewards"]
assert "l2rpn" in i["rewards"]
def test_reset_with_backend(self):
class DummyBackend3(PandaPowerBackend):
def __init__(self):
super().__init__()
self._dummy = -1
def reset(self, grid_path=None, grid_filename=None):
self._dummy = 1
def dummy(self):
return self._dummy
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX,
backend=DummyBackend3())
mme.reset()
assert mme.current_env.backend.dummy() == 1
def test_reset_with_opponent(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX,
opponent_class=BaseOpponent,
opponent_init_budget=42.0,
opponent_budget_per_ts=0.42)
mme.reset()
assert mme.current_obs is not None
assert mme.current_env is not None
assert mme._opponent_class == BaseOpponent
assert mme._opponent_init_budget == dt_float(42.0)
assert mme._opponent_budget_per_ts == dt_float(0.42)
def test_reset_seq(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
for i in range(2):
assert i == mme.current_index
mme.reset()
assert mme.current_obs is not None
assert mme.current_env is not None
def test_reset_random(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
for i in range(2):
mme.reset(random=True)
assert mme.current_obs is not None
assert mme.current_env is not None
def test_seeding(self):
mme1 = MultiMixEnvironment(PATH_DATA_MULTIMIX)
seeds_1 = mme1.seed(2)
mme1.close()
mme2 = MultiMixEnvironment(PATH_DATA_MULTIMIX)
seeds_2 = mme2.seed(42)
mme2.close()
mme3 = MultiMixEnvironment(PATH_DATA_MULTIMIX)
seeds_3 = mme3.seed(2)
mme3.close()
assert np.all(seeds_1 == seeds_3)
assert np.any(seeds_1 != seeds_2)
def test_step_dn(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
dn = mme.action_space({})
obs, r, done, info = mme.step(dn)
assert obs is not None
assert r is not None
assert isinstance(info, dict)
assert done is not True
def test_step_switch_line(self):
LINE_ID = 4
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
line_ex_topo = mme.line_ex_pos_topo_vect[LINE_ID]
line_or_topo = mme.line_or_pos_topo_vect[LINE_ID]
switch_status = mme.action_space.get_change_line_status_vect()
switch_status[LINE_ID] = True
switch_action = mme.action_space({
'change_line_status': switch_status
})
obs, r, d, info = mme.step(switch_action)
assert d is False
assert obs.line_status[LINE_ID] == False
obs, r, d, info = mme.step(switch_action)
assert d is False, "Diverged powerflow on reconnection"
assert info["is_illegal"] == False, "Reconnecting should be legal"
assert obs.line_status[LINE_ID] == True, "Line is not reconnected"
def test_forecast_toggle(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
dn = mme.action_space({})
# Forecast off
mme.deactivate_forecast()
# Step once
obs, _, _ , _ = mme.step(dn)
# Cant simulate
with self.assertRaises(NoForecastAvailable):
obs.simulate(dn)
# Forecast ON
mme.reactivate_forecast()
# Reset, step once
mme.reset()
obs, _, _ , _ = mme.step(dn)
# Can simulate
obs, r, done, info = obs.simulate(dn)
assert obs is not None
assert r is not None
assert isinstance(info, dict)
assert done is not True
def test_bracket_access_by_name(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
mix1_env = mme["case14_001"]
assert mix1_env.name == "case14_001"
mix2_env = mme["case14_002"]
assert mix2_env.name == "case14_002"
with self.assertRaises(KeyError):
unknown_env = mme["unknown_raise"]
def test_keys_access(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
for k in mme.keys():
mix = mme[k]
assert mix is not None
assert isinstance(mix, BaseEnv)
assert mix.name == k
def test_values_access(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
for v in mme.values():
assert v is not None
assert isinstance(v, BaseEnv)
assert v == mme[v.name]
def test_values_unique(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
vals = list(mme.values())
vals_unique = list(set(vals))
assert len(vals) == len(vals_unique)
def test_items_acces(self):
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
for k,v in mme.items():
assert k is not None
assert v is not None
assert isinstance(v, BaseEnv)
assert v == mme[k]
def test_copy(self):
# https://github.com/BDonnot/lightsim2grid/issues/10
mme = MultiMixEnvironment(PATH_DATA_MULTIMIX)
for i in range(5):
obs, reward, done, info = mme.step(mme.action_space())
env2 = mme.copy()
obsnew = env2.get_obs()
assert obsnew == obs
# after the same action, the original env and its copy are the same
obs0, reward0, done0, info0 = mme.step(mme.action_space())
obs1, reward1, done1, info1 = env2.step(env2.action_space())
assert obs0 == obs1
assert reward0 == reward1
assert done1 == done0
# reset has the correct behaviour
obs_after = env2.reset()
obs00, reward00, done00, info00 = mme.step(mme.action_space())
# i did not affect the other environment
assert obs00.minute_of_hour == obs0.minute_of_hour + mme.chronics_handler.time_interval.seconds // 60
# reset read the right chronics
assert obs_after.minute_of_hour == 0
if __name__ == "__main__":
unittest.main()