def setUpClass(self):
timezone = pytz.timezone('America/Los_Angeles')
start = timezone.localize(datetime(2018, 9, 5))
end = timezone.localize(datetime(2018, 9, 6))
period = 5 # minute
voltage = 220 # volts
default_battery_power = 32 * voltage / 1000 # kW
site = 'caltech'
cn = sites.caltech_acn(basic_evse=True, voltage=voltage)
API_KEY = 'DEMO_TOKEN'
events = acndata_events.generate_events(API_KEY, site, start, end, period, voltage, default_battery_power)
self.sch = EarliestDeadlineFirstAlgoStateful(increment=1)
self.sim = Simulator(deepcopy(cn), self.sch, deepcopy(events), start, period=period, verbose=False)
self.sim.run()
with open(os.path.join(os.path.dirname(__file__), 'edf_algo_true_analysis_fields.json'), 'r') as infile:
self.edf_algo_true_analysis_dict = json.load(infile)
with open(os.path.join(
os.path.dirname(__file__),
'edf_algo_true_datetimes_array.json'), 'r') as infile:
self.edf_algo_true_datetimes_array = json.load(infile)
with open(os.path.join(os.path.dirname(__file__), 'edf_algo_true_info_fields.json'), 'r') as infile:
self.edf_algo_true_info_dict = json.load(infile)
def setUpClass(cls) -> None:
timezone = pytz.timezone("America/Los_Angeles")
start = timezone.localize(datetime(2018, 9, 5))
end = timezone.localize(datetime(2018, 9, 6))
period = 5 # minute
voltage = 220 # volts
default_battery_power = 32 * voltage / 1000 # kW
site = "caltech"
cn = sites.caltech_acn(basic_evse=True, voltage=voltage)
api_key = "DEMO_TOKEN"
events = acndata_events.generate_events(api_key, site, start, end,
period, voltage,
default_battery_power)
cls.sch = GymTrainedAlgorithm()
cls.sch.register_model(EDFWrapper())
cls.env = make_default_sim_env()
cls.sch.register_env(cls.env)
required_interface = GymTrainedInterface
cls.sim = Simulator(
deepcopy(cn),
cls.sch,
deepcopy(events),
start,
period=period,
verbose=False,
interface_type=required_interface,
)
cls.sim.run()
with open(
os.path.join(os.path.dirname(__file__),
"edf_algo_true_analysis_fields.json")) as infile:
cls.edf_algo_true_analysis_dict = json.load(infile)
with open(
os.path.join(os.path.dirname(__file__),
"edf_algo_true_datetimes_array.json")) as infile:
cls.edf_algo_true_datetimes_array = json.load(infile)
with open(
os.path.join(os.path.dirname(__file__),
"edf_algo_true_info_fields.json")) as infile:
cls.edf_algo_true_info_dict = json.load(infile)