def __init__(self, initial_time, configurations=None, code=None, forward=None, forecast=True):
Thread.__init__(self)
self.daemon = True
demomode = Configuration.objects.get(key="system_mode").value == "demo"
self.env = BaseEnvironment(
initial_time=initial_time, forecast=forecast, step_size=DEFAULT_FORECAST_STEP_SIZE, demomode=demomode
) # get_forecast
if configurations is None:
configurations = DeviceConfiguration.objects.all()
self.devices = get_initialized_scenario(self.env, configurations)
self.measurements = MeasurementStorage(self.env, self.devices)
self.user_function = get_user_function(self.devices, code)
self.progress = 0.0
self.result = None
self.forward = forward
if forward == None:
self.forward = DEFAULT_FORECAST_INTERVAL
self.next_optimization = 0.0
self.use_optimization = get_configuration("auto_optimization")
def __init__(self,
initial_time,
configurations=None,
code=None,
forward=None,
forecast=True):
Thread.__init__(self)
self.daemon = True
demomode = Configuration.objects.get(key='system_mode').value == "demo"
self.env = BaseEnvironment(initial_time=initial_time,
forecast=forecast,
step_size=DEFAULT_FORECAST_STEP_SIZE,
demomode=demomode) #get_forecast
if configurations is None:
configurations = DeviceConfiguration.objects.all()
self.devices = get_initialized_scenario(self.env, configurations)
self.measurements = MeasurementStorage(self.env, self.devices)
self.user_function = get_user_function(self.devices, code)
self.progress = 0.0
self.result = None
self.forward = forward
if forward == None:
self.forward = DEFAULT_FORECAST_INTERVAL
self.next_optimization = 0.0
self.use_optimization = get_configuration('auto_optimization')
def __init__(self):
Thread.__init__(self)
self.daemon = True
(self.env, self.devices) = get_initialized_scenario()
self.user_function = get_user_function(self.devices)
