# 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 copy
import pdb
import time
import warnings

from grid2op.tests.helper_path_test import *

from grid2op.Exceptions import *
from grid2op.Environment import Environment
from grid2op.Backend import PandaPowerBackend
from grid2op.Parameters import Parameters
from grid2op.Chronics import ChronicsHandler, GridStateFromFile, ChangeNothing
from grid2op.Reward import L2RPNReward
from grid2op.MakeEnv import make
from grid2op.Rules import RulesChecker, DefaultRules
from grid2op.Action import *
from grid2op.dtypes import dt_float

DEBUG = False
PROFILE_CODE = False
if PROFILE_CODE:
    import cProfile

import warnings
warnings.simplefilter("error")


class TestLoadingBackendPandaPower(unittest.TestCase):
    def get_backend(self):
        return PandaPowerBackend()

    def setUp(self):
        # powergrid
        self.backend = self.get_backend()
        self.path_matpower = PATH_DATA_TEST_PP
        self.case_file = "test_case14.json"

        # chronics
        self.path_chron = os.path.join(PATH_CHRONICS, "chronics")
        self.chronics_handler = ChronicsHandler(chronicsClass=GridStateFromFile, path=self.path_chron)

        self.tolvect = dt_float(1e-2)
        self.tol_one = dt_float(1e-5)
        self.id_chron_to_back_load = np.array([0, 1, 10, 2, 3, 4, 5, 6, 7, 8, 9])

        # force the verbose backend
        self.backend.detailed_infos_for_cascading_failures = True

        self.names_chronics_to_backend = {"loads": {"2_C-10.61": 'load_1_0', "3_C151.15": 'load_2_1',
                                                    "14_C63.6": 'load_13_2', "4_C-9.47": 'load_3_3',
                                                    "5_C201.84": 'load_4_4',
                                                    "6_C-6.27": 'load_5_5', "9_C130.49": 'load_8_6',
                                                    "10_C228.66": 'load_9_7',
                                                    "11_C-138.89": 'load_10_8', "12_C-27.88": 'load_11_9',
                                                    "13_C-13.33": 'load_12_10'},
                                          "lines": {'1_2_1': '0_1_0', '1_5_2': '0_4_1', '9_10_16': '8_9_2',
                                                    '9_14_17': '8_13_3',
                                                    '10_11_18': '9_10_4', '12_13_19': '11_12_5', '13_14_20': '12_13_6',
                                                    '2_3_3': '1_2_7', '2_4_4': '1_3_8', '2_5_5': '1_4_9',
                                                    '3_4_6': '2_3_10',
                                                    '4_5_7': '3_4_11', '6_11_11': '5_10_12', '6_12_12': '5_11_13',
                                                    '6_13_13': '5_12_14', '4_7_8': '3_6_15', '4_9_9': '3_8_16',
                                                    '5_6_10': '4_5_17',
                                                    '7_8_14': '6_7_18', '7_9_15': '6_8_19'},
                                          "prods": {"1_G137.1": 'gen_0_4', "3_G36.31": "gen_2_1", "6_G63.29": "gen_5_2",
                                                    "2_G-56.47": "gen_1_0", "8_G40.43": "gen_7_3"},
                                          }

        # _parameters for the environment
        self.env_params = Parameters()
        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            self.env = Environment(init_grid_path=os.path.join(self.path_matpower, self.case_file),
                                   backend=self.backend,
                                   chronics_handler=self.chronics_handler,
                                   parameters=self.env_params,
                                   names_chronics_to_backend=self.names_chronics_to_backend,
                                   name="test_env_env1")

    def tearDown(self):
        self.env.close()

    def compare_vect(self, pred, true):
        return dt_float(np.max(np.abs(pred - true))) <= self.tolvect

    def test_copy_env(self):
        # first copying method

        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            cpy = Environment(**self.env.get_kwargs())
        obs1 = cpy.reset()
        obs2 = self.env.reset()
        assert obs1 == obs2
        # test both coppy and not copy behave the same if we do the same
        obs1, reward1, done1, info1 = cpy.step(self.env.action_space())
        obs2, reward2, done2, info2 = self.env.step(self.env.action_space())
        assert abs(reward1 - reward2) <= self.tol_one
        assert done1 == done2
        assert info1.keys() == info2.keys()
        for kk in info1.keys():
            assert np.all(info1[kk] == info2[kk])
        assert obs1 == obs2
        # test they are different if we do different stuff
        obs2, reward2, done2, info2 = self.env.step(self.env.action_space({"set_line_status": [(0, -1)]}))
        obs1, reward1, done1, info1 = cpy.step(self.env.action_space())
        assert obs1.line_status[0]
        assert not obs2.line_status[0]
        assert obs1 != obs2

        # second copying method
        self.env.reset()
        env2 = self.env.copy()
        # test both coppy and not copy behave the same if we do the same
        obs1, reward1, done1, info1 = env2.step(self.env.action_space())
        obs2, reward2, done2, info2 = self.env.step(self.env.action_space())
        assert abs(reward1 - reward2) <= self.tol_one
        assert done1 == done2
        assert info1.keys() == info2.keys()
        for kk in info1.keys():
            assert np.all(info1[kk] == info2[kk])
        assert obs1 == obs2

        # test they are different if we do different stuff
        obs2, reward2, done2, info2 = self.env.step(self.env.action_space({"set_line_status": [(0, -1)]}))
        obs1, reward1, done1, info1 = env2.step(self.env.action_space())
        assert obs1.line_status[0]
        assert not obs2.line_status[0]
        assert obs1 != obs2

        # new "same obs" again after reset
        obs1 = self.env.reset()
        obs2 = env2.reset()
        assert obs1 == obs2

    def test_assign_action_space(self):
        """test that i cannot change the action_space"""
        with self.assertRaises(EnvError):
            self.env.action_space = self.env._action_space

    def test_assign_obs_space(self):
        """test that i cannot change the observation_space"""
        with self.assertRaises(EnvError):
            self.env.observation_space = self.env._observation_space

    def test_step_doesnt_change_action(self):
        act = self.env.action_space()
        act_init = copy.deepcopy(act)
        res = self.env.step(act)
        assert act == act_init

    def test_load_env(self):
        """
        Just executes the SetUp and tearDown functions.
        :return:
        """
        if DEBUG:
            if PROFILE_CODE:
                cp = cProfile.Profile()
                cp.enable()
            import pandapower as pp
            nb_powerflow = 5000
            beg_ = time.time()
            for i in range(nb_powerflow):
                pp.runpp(self.backend._grid)
            end_ = time.time()
            print("Time to compute {} powerflows: {:.2f}".format(nb_powerflow, end_-beg_))
            if PROFILE_CODE:
                cp.disable()
                cp.print_stats(sort="tottime")
        pass

    def test_proper_injection_at_first(self):
        injs_act, *_ = self.env.backend.loads_info()
        # below: row as found in the file
        vect = np.array([18.8, 86.5, 44.5, 7.1, 10.4, 27.6, 8.1, 3.2, 5.6, 11.9, 13.6])
        # now it's in the "backend" order (ie properly reordered)
        vect = vect[self.id_chron_to_back_load]
        # and now i make sure everything is working as intentended
        assert self.compare_vect(injs_act, vect)

    def test_proper_voltage_modification(self):
        do_nothing = self.env.action_space({})
        obs, reward, done, info = self.env.step(do_nothing)  # should load the first time stamp
        vect = np.array([143.9, 139.1,   0.2,  13.3, 146. ])
        assert self.compare_vect(obs.prod_v, vect), "Production voltages setpoint have not changed at first time step"
        obs, reward, done, info = self.env.step(do_nothing)  # should load the first time stamp
        vect = np.array([145.3, 140.4,   0.2,  13.5, 147.4])
        assert self.compare_vect(obs.prod_v, vect), "Production voltages setpoint have not changed at second time step"

    def test_number_of_timesteps(self):
        for i in range(287):
            do_nothing = self.env.action_space({})
            obs, reward, done, info = self.env.step(do_nothing)  # should load the first time stamp
        injs_act, *_ = self.env.backend.loads_info()
        vect = np.array([19.0, 87.9, 44.4, 7.2, 10.4, 27.5, 8.4, 3.2, 5.7, 12.2, 13.6])
        vect = vect[self.id_chron_to_back_load]
        assert self.compare_vect(injs_act, vect)

    def test_stop_right_time(self):
        done = False
        i = 0
        while not done:
            do_nothing = self.env.action_space({})
            obs, reward, done, info = self.env.step(do_nothing)  # should load the first time stamp
            i += 1
        assert i == 287

    def test_reward(self):
        done = False
        i = 0
        self.chronics_handler.next_chronics()

        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            self.env = Environment(init_grid_path=os.path.join(self.path_matpower, self.case_file),
                                   backend=self.backend,
                                   chronics_handler=self.chronics_handler,
                                   parameters=self.env_params,
                                   rewardClass=L2RPNReward,
                                   names_chronics_to_backend=self.names_chronics_to_backend,
                                   name="test_env_env2")
        if PROFILE_CODE:
            cp = cProfile.Profile()
            cp.enable()
        beg_ = time.time()
        cum_reward = dt_float(0.0)
        do_nothing = self.env.action_space({})
        while not done:
            obs, reward, done, info = self.env.step(do_nothing)  # should load the first time stamp
            cum_reward += reward
            i += 1
        end_ = time.time()
        if DEBUG:
            msg_ = "\nEnv: {:.2f}s\n\t - apply act {:.2f}s\n\t - run pf: {:.2f}s\n" \
                   "\t - env update + observation: {:.2f}s\nTotal time: {:.2f}\nCumulative reward: {:1f}"
            print(msg_.format(
                self.env._time_apply_act+self.env._time_powerflow+self.env._time_extract_obs,
                self.env._time_apply_act, self.env._time_powerflow, self.env._time_extract_obs, end_-beg_, cum_reward))
        if PROFILE_CODE:
            cp.disable()
            cp.print_stats(sort="tottime")
        assert i == 287, "Wrong number of timesteps"
        expected_reward = dt_float(5719.9336)
        assert dt_float(np.abs(cum_reward - expected_reward)) <= self.tol_one, "Wrong reward"


class TestIllegalAmbiguous(unittest.TestCase):
    """
    This function test that the behaviour of "step" is the one we want: it does nothing if an action if ambiguous
    or illegal

    """
    def setUp(self):
        # powergrid
        self.tolvect = 1e-2
        self.tol_one = 1e-4
        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            self.env = make("rte_case5_example", test=True)

    def tearDown(self):
        self.env.close()

    def compare_vect(self, pred, true):
        return np.max(np.abs(pred- true)) <= self.tolvect

    def test_ambiguous_detected(self):
        self.skipTest("deprecated test as the reconnection is handled by backend action")
        act = self.env.action_space({"set_line_status": [(1, 1)]})
        obs, reward, done, info = self.env.step(act)
        assert info['is_ambiguous']
        assert not info["is_illegal"]

    def test_notambiguous_correct(self):
        act = self.env.action_space({"set_line_status": [(1, -1)]})
        obs, reward, done, info = self.env.step(act)
        assert not info['is_ambiguous']
        assert not info["is_illegal"]
        assert np.sum(obs.line_status) == 7

    def test_illegal_detected(self):
        act = self.env.action_space({"set_line_status": [(1, -1)]})
        self.env.game_rules = RulesChecker(legalActClass=DefaultRules)
        self.env._times_before_line_status_actionable[1] = 1
        obs, reward, done, info = self.env.step(act)

        # the action is illegal and it has not been implemented on the powergrid
        assert not info['is_ambiguous']
        assert info["is_illegal"]
        assert np.sum(obs.line_status) == 8


class TestOtherReward(unittest.TestCase):
    """
    This function test that the behaviour of "step" is the one we want: it does nothing if an action if ambiguous
    or illegal

    """
    def setUp(self):
        # powergrid
        self.tolvect = 1e-2
        self.tol_one = 1e-4
        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            self.env = make("rte_case5_example", test=True, reward_class=L2RPNReward,
                                other_rewards={"test": L2RPNReward})

    def tearDown(self):
        self.env.close()

    def test_make(self):
        _ = self.env.reset()
        obs, reward, done, info = self.env.step(self.env.action_space())
        assert "rewards" in info
        assert "test" in info["rewards"]
        assert np.abs(info["rewards"]["test"] - reward) <= self.tol_one

    def test_simulate(self):
        obs = self.env.reset()
        obs_simu, reward_simu, done_simu, info_simu = obs.simulate(self.env.action_space())
        assert "rewards" in info_simu
        assert "test" in info_simu["rewards"]
        assert np.abs(info_simu["rewards"]["test"] - reward_simu) <= self.tol_one

    def test_copy(self):
        # https://github.com/BDonnot/lightsim2grid/issues/10
        for i in range(5):
            obs, reward, done, info = self.env.step(self.env.action_space())
        env2 = self.env.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 = self.env.step(self.env.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 = self.env.step(self.env.action_space())
        # i did not affect the other environment
        assert obs00.minute_of_hour == obs0.minute_of_hour + self.env.chronics_handler.time_interval.seconds // 60
        # reset read the right chronics
        assert obs_after.minute_of_hour == 0


class TestResetOk(unittest.TestCase):
    """
    This function test that the behaviour of "step" is the one we want: it does nothing if an action if ambiguous
    or illegal

    """
    def make_backend(self, detailed_infos_for_cascading_failures=False):
        return PandaPowerBackend(detailed_infos_for_cascading_failures=detailed_infos_for_cascading_failures)

    def setUp(self):
        # powergrid
        self.tolvect = 1e-2
        self.tol_one = 1e-4
        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            self.env = make("rte_case5_example",
                            test=True,
                            reward_class=L2RPNReward,
                            backend=self.make_backend(),
                            other_rewards={"test": L2RPNReward})

    def tearDown(self):
        self.env.close()

    def test_reset_after_blackout(self):
        # make the grid in bad shape
        act = self.env.action_space({"set_bus": {"substations_id": [(2, [1, 2, 1, 2])]}})
        obs, reward, done, info = self.env.step(act)
        act = self.env.action_space({"set_bus": {"substations_id": [(0, [1, 1, 2, 2, 1, 2])]}})
        obs, reward, done, info = self.env.step(act)
        act = self.env.action_space({"set_bus": {"substations_id": [(3, [1, 1, 2, 2, 1])]}})
        obs, reward, done, info = self.env.step(act)
        act = self.env.action_space.disconnect_powerline(3)
        obs, reward, done, info = self.env.step(act)
        act = self.env.action_space.disconnect_powerline(4)
        obs, reward, done, info = self.env.step(act)
        # at this stage there is a cascading failure
        assert len(info["exception"])
        assert isinstance(info["exception"][0], DivergingPowerFlow)
        # reset the grid
        obs = self.env.reset()
        assert np.all(obs.topo_vect == 1)

        # check that i can simulate
        simobs, simr, simdone, siminfo = obs.simulate(self.env.action_space())
        assert np.all(simobs.topo_vect == 1)

    def test_reset_after_blackout_withdetailed_info(self):
        backend = self.make_backend(detailed_infos_for_cascading_failures=True)
        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            env = make("rte_case5_example", test=True, reward_class=L2RPNReward,
                       other_rewards={"test": L2RPNReward},
                       backend=backend)

        # make the grid in bad shape
        act = env.action_space({"set_bus": {"substations_id": [(2, [1, 2, 1, 2])]}})
        obs, reward, done, info = env.step(act)
        act = env.action_space({"set_bus": {"substations_id": [(0, [1, 1, 2, 2, 1, 2])]}})
        obs, reward, done, info = env.step(act)
        act = env.action_space({"set_bus": {"substations_id": [(3, [1, 1, 2, 2, 1])]}})
        obs, reward, done, info = env.step(act)
        act = env.action_space.disconnect_powerline(3)
        obs, reward, done, info = env.step(act)
        obs, reward, done, info = env.step(env.action_space())
        obs, reward, done, info = env.step(env.action_space())
        # at this stage there is a cascading failure
        assert len(info["exception"])
        assert isinstance(info["exception"][0], DivergingPowerFlow)
        assert "detailed_infos_for_cascading_failures" in info
        assert len(info["detailed_infos_for_cascading_failures"])
        # reset the grid
        obs = self.env.reset()
        assert np.all(obs.topo_vect == 1)

        # check that i can simulate
        simobs, simr, simdone, siminfo = obs.simulate(self.env.action_space())
        assert np.all(simobs.topo_vect == 1)


class TestAttachLayout(unittest.TestCase):
    def test_attach(self):
        my_layout = [(0, 0), (0, 400), (200, 400), (400, 400), (400, 0)]

        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            with make("rte_case5_example", test=True, reward_class=L2RPNReward, other_rewards={"test": L2RPNReward}) \
                    as env:
                env.attach_layout(my_layout)
                act = env.action_space()
                dict_act = act.cls_to_dict()
                assert "grid_layout" in dict_act
                assert dict_act["grid_layout"] == {k: [x,y] for k,(x,y) in zip(env.name_sub, my_layout)}
                dict_ = env.action_space.cls_to_dict()
                assert "grid_layout" in dict_
                assert dict_["grid_layout"] == {k: [x,y] for k,(x,y) in zip(env.name_sub, my_layout)}
                dict_ = env._helper_action_env.cls_to_dict()
                assert "grid_layout" in dict_
                assert dict_["grid_layout"] == {k: [x,y] for k,(x,y) in zip(env.name_sub, my_layout)}
                dict_ = env.observation_space.cls_to_dict()
                assert "grid_layout" in dict_
                assert dict_["grid_layout"] == {k: [x,y] for k,(x,y) in zip(env.name_sub, my_layout)}
                dict_ = env._opponent_action_space.cls_to_dict()
                assert "grid_layout" in dict_
                assert dict_["grid_layout"] == {k: [x,y] for k,(x,y) in zip(env.name_sub, my_layout)}


class TestLineChangeLastBus(unittest.TestCase):
    """
    This function test that the behaviour of "step": it updates the action with the last known bus when reconnecting

    """
    def setUp(self):
        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            self.params = Parameters()
            self.params.MAX_SUB_CHANGED = 1
            self.params.NO_OVERFLOW_DISCONNECTION = True

            with warnings.catch_warnings():
                warnings.filterwarnings("ignore")
                self.env = make("rte_case14_test", test=True, chronics_class=ChangeNothing, param=self.params)

    def tearDown(self):
        self.env.close()

    def test_set_reconnect(self):
        LINE_ID = 4
        line_ex_topo = self.env.line_ex_pos_topo_vect[LINE_ID]
        line_or_topo = self.env.line_or_pos_topo_vect[LINE_ID]
        bus_action = self.env.action_space({
            "set_bus": {
                "lines_ex_id": [(LINE_ID, 2)]
            }
        })
        set_status = self.env.action_space.get_set_line_status_vect()
        set_status[LINE_ID] = -1
        disconnect_action = self.env.action_space({
            'set_line_status': set_status
        })
        set_status[LINE_ID] = 1
        reconnect_action = self.env.action_space({
            'set_line_status': set_status
        })

        obs, r, d, info = self.env.step(bus_action)
        assert d is False
        assert obs.topo_vect[line_ex_topo] == 2
        assert obs.line_status[LINE_ID] == True
        obs, r, d, _ = self.env.step(disconnect_action)
        assert d is False
        assert obs.line_status[LINE_ID] == False
        obs, r, d, info = self.env.step(reconnect_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"
        # Its reconnected to bus 2, without specifying it
        assert obs.topo_vect[line_ex_topo] == 2, "Line ex should be on bus 2"

    def test_change_reconnect(self):
        LINE_ID = 4
        line_ex_topo = self.env.line_ex_pos_topo_vect[LINE_ID]
        line_or_topo = self.env.line_or_pos_topo_vect[LINE_ID]
        bus_action = self.env.action_space({
            "set_bus": {
                "lines_ex_id": [(LINE_ID,2)]
            }
        })
        switch_status = self.env.action_space.get_change_line_status_vect()
        switch_status[LINE_ID] = True
        switch_action = self.env.action_space({
            'change_line_status': switch_status
        })

        obs, r, d, _ = self.env.step(bus_action)
        assert d is False
        assert obs.topo_vect[line_ex_topo] == 2
        assert obs.line_status[LINE_ID] == True
        obs, r, d, info = self.env.step(switch_action)
        assert d is False
        assert obs.line_status[LINE_ID] == False
        obs, r, d, info = self.env.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"
        # Its reconnected to bus 2, without specifying it
        assert obs.topo_vect[line_ex_topo] == 2, "Line ex should be on bus 2"


class TestResetAfterCascadingFailure(unittest.TestCase):
    """
    Fake a cascading failure, do a reset of an env, check that it can be loaded

    """
    def make_backend(self, detailed_infos_for_cascading_failures=False):
        return PandaPowerBackend(detailed_infos_for_cascading_failures=detailed_infos_for_cascading_failures)

    def setUp(self):
        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            params = Parameters()
            params.MAX_SUB_CHANGED = 2
            self.env = make("rte_case14_test", test=True, chronics_class=ChangeNothing, param=params,
                            backend=self.make_backend())

    def tearDown(self):
        self.env.close()

    def test_reset_after_cascading(self):
        LINE_ID = 4
        bus_action = self.env.action_space({
            "set_bus": {
                "lines_ex_id": [(LINE_ID,2)],
                "lines_or_id": [(LINE_ID,2)]
            }
        })
        nothing_action = self.env.action_space({})

        for i in range(3):
            obs, r, d, i = self.env.step(bus_action)
            # Ensure cascading happened
            assert d is True
            # Reset env, this shouldn't raise
            self.env.reset()
            # Step once
            obs, r, d, i = self.env.step(nothing_action)
            # Ensure stepping has been successful
            assert d is False


class TestCascadingFailure(unittest.TestCase):
    """
    There has been a bug preventing to reload an environment if the previous one ended with a cascading failure.
    It check that here.
    """
    def make_backend(self, detailed_infos_for_cascading_failures=False):
        return PandaPowerBackend(detailed_infos_for_cascading_failures=detailed_infos_for_cascading_failures)

    def setUp(self):

        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            params = Parameters()
            params.MAX_SUB_CHANGED = 0
            params.NB_TIMESTEP_POWERFLOW_ALLOWED = 2
            rules = DefaultRules
            self.env = make("rte_case14_test", test=True, chronics_class=ChangeNothing, param=params,
                            gamerules_class=rules, backend=self.make_backend())

    def tearDown(self):
        self.env.close()

    def test_simulate_cf(self):
        thermal_limit = np.array([  638.28966637,   305.05042301, 17658.9674809 , 26534.04334098,
                                   10869.23856329,  4686.71726729, 15612.65903298,   300.07915572,
                                     229.8060832 ,   169.97292682,   100.40192958,   265.47505664,
                                   21193.86923911, 21216.44452327, 49701.1565287 ,   124.79684388,
                                      67.59759985,   192.19424706,   666.76961936,  1113.52773632])
        thermal_limit *= 2
        thermal_limit[[0,1]] /= 2.1
        self.env.set_thermal_limit(thermal_limit)
        obs0 = self.env.reset()
        obs1, reward, done, info = self.env.step(self.env.action_space())
        assert not done
        obs2, reward, done, info = self.env.step(self.env.action_space())
        assert not done
        obs3, reward, done, info = self.env.step(self.env.action_space())
        assert done
        obs_new = self.env.reset()
        obs1, reward, done, info = self.env.step(self.env.action_space())
        assert not done


class TestLoading2envDontCrash(unittest.TestCase):
    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)

    def tearDown(self) -> None:
        self.env1.close()
        self.env2.close()

    def test_loading(self):

        donotghing1 = self.env1.action_space()
        donotghing2 = self.env2.action_space()

        assert donotghing1.n_sub == 14
        assert donotghing2.n_sub == 5

        obs1, *_ = self.env1.step(donotghing1)
        obs2, *_ = self.env2.step(donotghing2)

        assert obs1.n_sub == 14
        assert obs2.n_sub == 5


class TestDeactivateForecast(unittest.TestCase):
    def setUp(self) -> None:
        with warnings.catch_warnings():
            warnings.filterwarnings("ignore")
            self.env1 = make("rte_case14_test", test=True)

    def tearDown(self) -> None:
        self.env1.close()

    def test_deactivate_reactivate(self):
        self.env1.deactivate_forecast()
        obs = self.env1.reset()
        # it should not be possible to use forecast
        with self.assertRaises(NoForecastAvailable):
            sim_obs, *_ = obs.simulate(self.env1.action_space())

        # i reactivate the forecast
        self.env1.reactivate_forecast()
        obs, reward, done, info = self.env1.step(self.env1.action_space())
        # i check i can use it again
        sim_obs, *_ = obs.simulate(self.env1.action_space())

    def _check_env_param(self, env, param):
        assert env._ignore_min_up_down_times == param.IGNORE_MIN_UP_DOWN_TIME
        assert env._forbid_dispatch_off == (not param.ALLOW_DISPATCH_GEN_SWITCH_OFF)

        # type of power flow to play
        # if True, then it will not disconnect lines above their thermal limits
        assert env._no_overflow_disconnection == param.NO_OVERFLOW_DISCONNECTION
        assert env._hard_overflow_threshold == param.HARD_OVERFLOW_THRESHOLD

        # store actions "cooldown"
        assert env._max_timestep_line_status_deactivated == param.NB_TIMESTEP_COOLDOWN_LINE
        assert env._max_timestep_topology_deactivated == param.NB_TIMESTEP_COOLDOWN_SUB
        assert env._nb_ts_reco == param.NB_TIMESTEP_RECONNECTION

        assert np.all(env._nb_timestep_overflow_allowed == param.NB_TIMESTEP_OVERFLOW_ALLOWED)

        # hard overflow part
        assert env._env_dc == param.ENV_DC
        assert np.all(env._nb_timestep_overflow_allowed == param.NB_TIMESTEP_OVERFLOW_ALLOWED)
        assert env._max_timestep_line_status_deactivated == param.NB_TIMESTEP_COOLDOWN_LINE

    def test_change_parameters_basic(self):
        """
        this is basic test of the env.change_parameters() function

        It only checks the right parameters are used for the environment 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
        real_orig_param = copy.deepcopy(self.env1.parameters)
        self.env1.change_parameters(param)
        # parameters have not changed yet
        _ = self.env1.step(self.env1.action_space())
        self._check_env_param(self.env1, real_orig_param)

        # reset triggers the change of parameters
        self.env1.reset()
        self._check_env_param(self.env1, param)

    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)

    def test_change_parameters_forecast_fromissue_128(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)

        This is the example taken from https://github.com/rte-france/Grid2Op/issues/128 (first remak)
        """

        # modify the parmeters for simulate
        param = Parameters()
        param.MAX_SUB_CHANGED = 9999
        param.MAX_LINE_STATUS_CHANGED = 9999
        self.env1.change_forecast_parameters(param)
        self.env1.reset()

        obs, *_ = self.env1.step(self.env1.action_space())
        # and you can simulate the impact of action modifying as many substation as you want, for example
        act = self.env1.action_space({"set_bus": {"lines_or_id": [(0, 2), (10, 2)]}})
        # this action modfies both substation 0 and substation 8
        sim_o, sim_r, sim_d, sim_info = obs.simulate(act)
        assert sim_info["is_illegal"] is False


if __name__ == "__main__":
    unittest.main()
