from ..physical.Battery import Battery
from datetime import datetime


class FlexHouse_sim_batt(Battery):
    def __init__(self, which='localhost'):
        super().__init__(which)
        self.internal_temperature = 20  # Celsius
        self.time = datetime.now()
        self.loss = 1  # kW
        if self.getRemainingFloodTime() == 300:
            #print('Battery is not started. I will initiate start sequence, please retry in 5 minutes')
            self.startBattery()
            raise SystemError('Battery is not started. I will initiate start sequence, please retry in 5 minutes')
        if (self.getRemainingFloodTime() > 1) and (self.getRemainingFloodTime() < 300):
            #print('Battery is not ready yet')
            raise SystemError('Battery is not ready yet, please wait {} seconds'.format(self.getRemainingFloodTime()))

        # The variables below are only relevant for implementing and advanced house model.
        #self.__Th = 20  # internal heater state
        #self.__Te = 19  # envelope state
        #self.__Aw = 14.351  # m^2
        #self.__Ce = 4.741  # kWh/C
        #self.__Ch = 0.00225  # kWh/C
        #self.__Ci = 2.555  # kWh/C
        #self.__Rea = 3.265  # C/kW
        #self.__Rie = 0.817  # C/kW
        #self.__Ria = 37.005  # C/kW
        #self.__Rih = 140.44  # C/kW

    def setPowerConsumption(self, power_reference):
        if power_reference > 10:
            power_reference = 10
        if power_reference < 0:
            raise ValueError("Negative power means production")
        self.setActivePower(power_reference)

    def step_sim(self):
        time_now = datetime.now()
        time_delta = (time_now - self.time).total_seconds()
        # Below is a simple house model. A more complex one can be implemented
        self.internal_temperature += 0.5*(self.getActivePower().value/3600*time_delta) - 2*(self.loss/3600*time_delta)
        #self.__Th = 20  # internal heater state
        #self.__Te = 19  # envelope state
        self.time = time_now

    def getTemperature(self):
        self.step_sim()
        return self.internal_temperature