#!/usr/bin/env python3
from cereal import car
from panda import Panda
from selfdrive.car import STD_CARGO_KG, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
from selfdrive.car.subaru.values import CAR, GLOBAL_GEN2, PREGLOBAL_CARS


class CarInterface(CarInterfaceBase):

  @staticmethod
  def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, disable_radar=False):
    ret = CarInterfaceBase.get_std_params(candidate, fingerprint)

    ret.carName = "subaru"
    ret.radarOffCan = True
    ret.dashcamOnly = candidate in PREGLOBAL_CARS

    if candidate in PREGLOBAL_CARS:
      ret.enableBsm = 0x25c in fingerprint[0]
      ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.subaruLegacy)]
    else:
      ret.enableBsm = 0x228 in fingerprint[0]
      ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.subaru)]
      if candidate in GLOBAL_GEN2:
        ret.safetyConfigs[0].safetyParam |= Panda.FLAG_SUBARU_GEN2

    ret.steerLimitTimer = 0.4
    ret.steerActuatorDelay = 0.1
    CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)

    if candidate == CAR.ASCENT:
      ret.mass = 2031. + STD_CARGO_KG
      ret.wheelbase = 2.89
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 13.5
      ret.steerActuatorDelay = 0.3   # end-to-end angle controller
      ret.lateralTuning.init('pid')
      ret.lateralTuning.pid.kf = 0.00003
      ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0., 20.], [0., 20.]]
      ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.0025, 0.1], [0.00025, 0.01]]

    elif candidate == CAR.IMPREZA:
      ret.mass = 1568. + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 15
      ret.steerActuatorDelay = 0.4   # end-to-end angle controller
      ret.lateralTuning.init('pid')
      ret.lateralTuning.pid.kf = 0.00005
      ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0., 20.], [0., 20.]]
      ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2, 0.3], [0.02, 0.03]]

    elif candidate == CAR.IMPREZA_2020:
      ret.mass = 1480. + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 17           # learned, 14 stock
      ret.lateralTuning.init('pid')
      ret.lateralTuning.pid.kf = 0.00005
      ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0., 14., 23.], [0., 14., 23.]]
      ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.045, 0.042, 0.20], [0.04, 0.035, 0.045]]

    elif candidate == CAR.FORESTER:
      ret.mass = 1568. + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 17           # learned, 14 stock
      ret.lateralTuning.init('pid')
      ret.lateralTuning.pid.kf = 0.000038
      ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0., 14., 23.], [0., 14., 23.]]
      ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.01, 0.065, 0.2], [0.001, 0.015, 0.025]]

    elif candidate == CAR.OUTBACK:
      ret.mass = 1568. + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 17
      ret.steerActuatorDelay = 0.1
      CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)

    elif candidate in (CAR.FORESTER_PREGLOBAL, CAR.OUTBACK_PREGLOBAL_2018):
      ret.safetyConfigs[0].safetyParam = 1  # Outback 2018-2019 and Forester have reversed driver torque signal
      ret.mass = 1568 + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 20           # learned, 14 stock

    elif candidate == CAR.LEGACY_PREGLOBAL:
      ret.mass = 1568 + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 12.5   # 14.5 stock
      ret.steerActuatorDelay = 0.15

    elif candidate == CAR.OUTBACK_PREGLOBAL:
      ret.mass = 1568 + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 20           # learned, 14 stock

    else:
      raise ValueError(f"unknown car: {candidate}")

    # TODO: get actual value, for now starting with reasonable value for
    # civic and scaling by mass and wheelbase
    ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)

    # TODO: start from empirically derived lateral slip stiffness for the civic and scale by
    # mass and CG position, so all cars will have approximately similar dyn behaviors
    ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront)

    return ret

  # returns a car.CarState
  def _update(self, c):

    ret = self.CS.update(self.cp, self.cp_cam, self.cp_body)

    ret.events = self.create_common_events(ret).to_msg()

    return ret

  def apply(self, c):
    return self.CC.update(c, self.CS)
