#!/usr/bin/env python3 from cereal import car from panda import Panda from openpilot.selfdrive.car.tesla.values import CANBUS, CAR from openpilot.selfdrive.car import get_safety_config from openpilot.selfdrive.car.interfaces import CarInterfaceBase class CarInterface(CarInterfaceBase): @staticmethod def _get_params(ret, candidate, fingerprint, car_fw, experimental_long, docs): ret.carName = "tesla" # There is no safe way to do steer blending with user torque, # so the steering behaves like autopilot. This is not # how openpilot should be, hence dashcamOnly ret.dashcamOnly = True ret.steerControlType = car.CarParams.SteerControlType.angle # Set kP and kI to 0 over the whole speed range to have the planner accel as actuator command ret.longitudinalTuning.kpBP = [0] ret.longitudinalTuning.kpV = [0] ret.longitudinalTuning.kiBP = [0] ret.longitudinalTuning.kiV = [0] ret.longitudinalActuatorDelay = 0.5 # s ret.radarTimeStep = (1.0 / 8) # 8Hz # Check if we have messages on an auxiliary panda, and that 0x2bf (DAS_control) is present on the AP powertrain bus # If so, we assume that it is connected to the longitudinal harness. flags = (Panda.FLAG_TESLA_RAVEN if candidate == CAR.TESLA_MODELS_RAVEN else 0) if (CANBUS.autopilot_powertrain in fingerprint.keys()) and (0x2bf in fingerprint[CANBUS.autopilot_powertrain].keys()): ret.openpilotLongitudinalControl = True flags |= Panda.FLAG_TESLA_LONG_CONTROL ret.safetyConfigs = [ get_safety_config(car.CarParams.SafetyModel.tesla, flags), get_safety_config(car.CarParams.SafetyModel.tesla, flags | Panda.FLAG_TESLA_POWERTRAIN), ] else: ret.openpilotLongitudinalControl = False ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.tesla, flags)] ret.steerLimitTimer = 1.0 ret.steerActuatorDelay = 0.25 return ret def _update(self, c): ret = self.CS.update(self.cp, self.cp_cam) ret.events = self.create_common_events(ret).to_msg() return ret