open source driving agent
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from cereal import car
from opendbc.can.parser import CANParser
from openpilot.selfdrive.car.interfaces import CarStateBase
from openpilot.selfdrive.car.body.values import DBC
STARTUP_TICKS = 100
class CarState(CarStateBase):
def update(self, cp):
ret = car.CarState.new_message()
ret.wheelSpeeds.fl = cp.vl['MOTORS_DATA']['SPEED_L']
ret.wheelSpeeds.fr = cp.vl['MOTORS_DATA']['SPEED_R']
ret.vEgoRaw = ((ret.wheelSpeeds.fl + ret.wheelSpeeds.fr) / 2.) * self.CP.wheelSpeedFactor
ret.vEgo, ret.aEgo = self.update_speed_kf(ret.vEgoRaw)
ret.standstill = False
ret.steerFaultPermanent = any([cp.vl['VAR_VALUES']['MOTOR_ERR_L'], cp.vl['VAR_VALUES']['MOTOR_ERR_R'],
cp.vl['VAR_VALUES']['FAULT']])
ret.charging = cp.vl["BODY_DATA"]["CHARGER_CONNECTED"] == 1
ret.fuelGauge = cp.vl["BODY_DATA"]["BATT_PERCENTAGE"] / 100
# irrelevant for non-car
ret.gearShifter = car.CarState.GearShifter.drive
ret.cruiseState.enabled = True
ret.cruiseState.available = True
return ret
@staticmethod
def get_can_parser(CP):
messages = [
("MOTORS_DATA", 100),
("VAR_VALUES", 10),
("BODY_DATA", 1),
]
return CANParser(DBC[CP.carFingerprint]["pt"], messages, 0)