# functions common among cars
from common.numpy_fast import clip


def dbc_dict(pt_dbc, radar_dbc, chassis_dbc=None):
  return {'pt': pt_dbc, 'radar': radar_dbc, 'chassis': chassis_dbc}


def apply_std_steer_torque_limits(apply_torque, apply_torque_last, driver_torque, LIMITS):

  # limits due to driver torque
  driver_max_torque = LIMITS.STEER_MAX + (LIMITS.STEER_DRIVER_ALLOWANCE + driver_torque * LIMITS.STEER_DRIVER_FACTOR) * LIMITS.STEER_DRIVER_MULTIPLIER
  driver_min_torque = -LIMITS.STEER_MAX + (-LIMITS.STEER_DRIVER_ALLOWANCE + driver_torque * LIMITS.STEER_DRIVER_FACTOR) * LIMITS.STEER_DRIVER_MULTIPLIER
  max_steer_allowed = max(min(LIMITS.STEER_MAX, driver_max_torque), 0)
  min_steer_allowed = min(max(-LIMITS.STEER_MAX, driver_min_torque), 0)
  apply_torque = clip(apply_torque, min_steer_allowed, max_steer_allowed)

  # slow rate if steer torque increases in magnitude
  if apply_torque_last > 0:
    apply_torque = clip(apply_torque, max(apply_torque_last - LIMITS.STEER_DELTA_DOWN, -LIMITS.STEER_DELTA_UP),
                                    apply_torque_last + LIMITS.STEER_DELTA_UP)
  else:
    apply_torque = clip(apply_torque, apply_torque_last - LIMITS.STEER_DELTA_UP,
                                    min(apply_torque_last + LIMITS.STEER_DELTA_DOWN, LIMITS.STEER_DELTA_UP))

  return int(round(apply_torque))