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)