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
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)
