Exemplo n.º 1
0
    def _get_car_atn(self, acquisition_date, car_value, fuel_type, co2):
        # Compute the correction coefficient from the age of the car
        now = Datetime.from_string(Datetime.now())
        start = Datetime.from_string(acquisition_date)
        if start:
            number_of_month = (
                now.year - start.year) * 12.0 + now.month - start.month + int(
                    bool(now.day - start.day + 1))
            if number_of_month <= 12:
                age_coefficient = 1.00
            elif number_of_month <= 24:
                age_coefficient = 0.94
            elif number_of_month <= 36:
                age_coefficient = 0.88
            elif number_of_month <= 48:
                age_coefficient = 0.82
            elif number_of_month <= 60:
                age_coefficient = 0.76
            else:
                age_coefficient = 0.70
            car_value = car_value * age_coefficient
            # Compute atn value from corrected car_value
            magic_coeff = 6.0 / 7.0  # Don't ask me why
            if fuel_type == 'electric':
                atn = 0.0
            else:
                if fuel_type in ['diesel', 'hybrid']:
                    reference = 87.0
                else:
                    reference = 105.0

                if co2 <= reference:
                    atn = car_value * max(0.04,
                                          (0.055 - 0.001 *
                                           (reference - co2))) * magic_coeff
                else:
                    atn = car_value * min(0.18,
                                          (0.055 + 0.001 *
                                           (co2 - reference))) * magic_coeff
            return max(1280, atn) / 12.0
Exemplo n.º 2
0
 def _compute_atn(self):
     now = Datetime.now()
     for model in self:
         model.default_atn = self.env['fleet.vehicle']._get_car_atn(
             now, model.default_car_value, model.default_fuel_type,
             model.default_co2)