openpilot_comma/selfdrive/car/interfaces.py

import json
import os
import time
from abc import abstractmethod, ABC
from typing import Any, Dict, Tuple, List

from cereal import car
from common.basedir import BASEDIR
from common.conversions import Conversions as CV
from common.kalman.simple_kalman import KF1D
from common.realtime import DT_CTRL
from selfdrive.car import gen_empty_fingerprint
from selfdrive.controls.lib.drive_helpers import V_CRUISE_MAX
from selfdrive.controls.lib.events import Events
from selfdrive.controls.lib.vehicle_model import VehicleModel

GearShifter = car.CarState.GearShifter
EventName = car.CarEvent.EventName

MAX_CTRL_SPEED = (V_CRUISE_MAX + 4) * CV.KPH_TO_MS
ACCEL_MAX = 2.0
ACCEL_MIN = -3.5
TORQUE_PARAMS_PATH = os.path.join(BASEDIR, 'selfdrive/car/torque_data.json')


# generic car and radar interfaces

class CarInterfaceBase(ABC):
  def __init__(self, CP, CarController, CarState):
    self.CP = CP
    self.VM = VehicleModel(CP)

    self.frame = 0
    self.steering_unpressed = 0
    self.low_speed_alert = False
    self.silent_steer_warning = True

    self.CS = None
    self.can_parsers = []
    if CarState is not None:
      self.CS = CarState(CP)

      self.cp = self.CS.get_can_parser(CP)
      self.cp_cam = self.CS.get_cam_can_parser(CP)
      self.cp_adas = self.CS.get_adas_can_parser(CP)
      self.cp_body = self.CS.get_body_can_parser(CP)
      self.cp_loopback = self.CS.get_loopback_can_parser(CP)
      self.can_parsers = [self.cp, self.cp_cam, self.cp_adas, self.cp_body, self.cp_loopback]

    self.CC = None
    if CarController is not None:
      self.CC = CarController(self.cp.dbc_name, CP, self.VM)

  @staticmethod
  def get_pid_accel_limits(CP, current_speed, cruise_speed):
    return ACCEL_MIN, ACCEL_MAX

  @staticmethod
  @abstractmethod
  def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, disable_radar=False):
    pass

  @staticmethod
  def init(CP, logcan, sendcan):
    pass

  @staticmethod
  def get_steer_feedforward_default(desired_angle, v_ego):
    # Proportional to realigning tire momentum: lateral acceleration.
    # TODO: something with lateralPlan.curvatureRates
    return desired_angle * (v_ego**2)

  def get_steer_feedforward_function(self):
    return self.get_steer_feedforward_default

  # returns a set of default params to avoid repetition in car specific params
  @staticmethod
  def get_std_params(candidate, fingerprint):
    ret = car.CarParams.new_message()
    ret.carFingerprint = candidate

    # standard ALC params
    ret.steerControlType = car.CarParams.SteerControlType.torque
    ret.minSteerSpeed = 0.
    ret.wheelSpeedFactor = 1.0
    ret.maxLateralAccel = CarInterfaceBase.get_torque_params(candidate)['MAX_LAT_ACCEL_MEASURED']

    ret.pcmCruise = True     # openpilot's state is tied to the PCM's cruise state on most cars
    ret.minEnableSpeed = -1. # enable is done by stock ACC, so ignore this
    ret.steerRatioRear = 0.  # no rear steering, at least on the listed cars aboveA
    ret.openpilotLongitudinalControl = False
    ret.stopAccel = -2.0
    ret.stoppingDecelRate = 0.8 # brake_travel/s while trying to stop
    ret.vEgoStopping = 0.5
    ret.vEgoStarting = 0.5
    ret.stoppingControl = True
    ret.longitudinalTuning.deadzoneBP = [0.]
    ret.longitudinalTuning.deadzoneV = [0.]
    ret.longitudinalTuning.kf = 1.
    ret.longitudinalTuning.kpBP = [0.]
    ret.longitudinalTuning.kpV = [1.]
    ret.longitudinalTuning.kiBP = [0.]
    ret.longitudinalTuning.kiV = [1.]
    # TODO estimate car specific lag, use .15s for now
    ret.longitudinalActuatorDelayLowerBound = 0.15
    ret.longitudinalActuatorDelayUpperBound = 0.15
    ret.steerLimitTimer = 1.0
    return ret

  @staticmethod
  def get_torque_params(candidate, default=float('NaN')):
    with open(TORQUE_PARAMS_PATH) as f:
      data = json.load(f)
    return {key: data[key].get(candidate, default) for key in data}

  @abstractmethod
  def _update(self, c: car.CarControl) -> car.CarState:
    pass

  def update(self, c: car.CarControl, can_strings: List[bytes]) -> car.CarState:
    # parse can
    for cp in self.can_parsers:
      if cp is not None:
        cp.update_strings(can_strings)

    # get CarState
    ret = self._update(c)

    ret.canValid = all(cp.can_valid for cp in self.can_parsers if cp is not None)
    ret.canTimeout = any(cp.bus_timeout for cp in self.can_parsers if cp is not None)

    # copy back for next iteration
    reader = ret.as_reader()
    if self.CS is not None:
      self.CS.out = reader

    return reader

  @abstractmethod
  def apply(self, c: car.CarControl) -> Tuple[car.CarControl.Actuators, List[bytes]]:
    pass

  def create_common_events(self, cs_out, extra_gears=None, pcm_enable=True, allow_enable=True):
    events = Events()

    if cs_out.doorOpen:
      events.add(EventName.doorOpen)
    if cs_out.seatbeltUnlatched:
      events.add(EventName.seatbeltNotLatched)
    if cs_out.gearShifter != GearShifter.drive and (extra_gears is None or
       cs_out.gearShifter not in extra_gears):
      events.add(EventName.wrongGear)
    if cs_out.gearShifter == GearShifter.reverse:
      events.add(EventName.reverseGear)
    if not cs_out.cruiseState.available:
      events.add(EventName.wrongCarMode)
    if cs_out.espDisabled:
      events.add(EventName.espDisabled)
    if cs_out.stockFcw:
      events.add(EventName.stockFcw)
    if cs_out.stockAeb:
      events.add(EventName.stockAeb)
    if cs_out.vEgo > MAX_CTRL_SPEED:
      events.add(EventName.speedTooHigh)
    if cs_out.cruiseState.nonAdaptive:
      events.add(EventName.wrongCruiseMode)
    if cs_out.brakeHoldActive and self.CP.openpilotLongitudinalControl:
      events.add(EventName.brakeHold)
    if cs_out.parkingBrake:
      events.add(EventName.parkBrake)
    if cs_out.accFaulted:
      events.add(EventName.accFaulted)

    # Handle permanent and temporary steering faults
    self.steering_unpressed = 0 if cs_out.steeringPressed else self.steering_unpressed + 1
    if cs_out.steerFaultTemporary:
      # if the user overrode recently, show a less harsh alert
      if self.silent_steer_warning or cs_out.standstill or self.steering_unpressed < int(1.5 / DT_CTRL):
        self.silent_steer_warning = True
        events.add(EventName.steerTempUnavailableSilent)
      else:
        events.add(EventName.steerTempUnavailable)
    else:
      self.silent_steer_warning = False
    if cs_out.steerFaultPermanent:
      events.add(EventName.steerUnavailable)

    # we engage when pcm is active (rising edge)
    # enabling can optionally be blocked by the car interface
    if pcm_enable:
      if cs_out.cruiseState.enabled and not self.CS.out.cruiseState.enabled and allow_enable:
        events.add(EventName.pcmEnable)
      elif not cs_out.cruiseState.enabled:
        events.add(EventName.pcmDisable)

    return events


class RadarInterfaceBase(ABC):
  def __init__(self, CP):
    self.rcp = None
    self.pts = {}
    self.delay = 0
    self.radar_ts = CP.radarTimeStep
    self.no_radar_sleep = 'NO_RADAR_SLEEP' in os.environ

  def update(self, can_strings):
    ret = car.RadarData.new_message()
    if not self.no_radar_sleep:
      time.sleep(self.radar_ts)  # radard runs on RI updates
    return ret


class CarStateBase(ABC):
  def __init__(self, CP):
    self.CP = CP
    self.car_fingerprint = CP.carFingerprint
    self.out = car.CarState.new_message()

    self.cruise_buttons = 0
    self.left_blinker_cnt = 0
    self.right_blinker_cnt = 0
    self.left_blinker_prev = False
    self.right_blinker_prev = False

    # Q = np.matrix([[10.0, 0.0], [0.0, 100.0]])
    # R = 1e3
    self.v_ego_kf = KF1D(x0=[[0.0], [0.0]],
                         A=[[1.0, DT_CTRL], [0.0, 1.0]],
                         C=[1.0, 0.0],
                         K=[[0.12287673], [0.29666309]])

  def update_speed_kf(self, v_ego_raw):
    if abs(v_ego_raw - self.v_ego_kf.x[0][0]) > 2.0:  # Prevent large accelerations when car starts at non zero speed
      self.v_ego_kf.x = [[v_ego_raw], [0.0]]

    v_ego_x = self.v_ego_kf.update(v_ego_raw)
    return float(v_ego_x[0]), float(v_ego_x[1])

  def get_wheel_speeds(self, fl, fr, rl, rr, unit=CV.KPH_TO_MS):
    factor = unit * self.CP.wheelSpeedFactor

    wheelSpeeds = car.CarState.WheelSpeeds.new_message()
    wheelSpeeds.fl = fl * factor
    wheelSpeeds.fr = fr * factor
    wheelSpeeds.rl = rl * factor
    wheelSpeeds.rr = rr * factor
    return wheelSpeeds

  def update_blinker_from_lamp(self, blinker_time: int, left_blinker_lamp: bool, right_blinker_lamp: bool):
    """Update blinkers from lights. Enable output when light was seen within the last `blinker_time`
    iterations"""
    # TODO: Handle case when switching direction. Now both blinkers can be on at the same time
    self.left_blinker_cnt = blinker_time if left_blinker_lamp else max(self.left_blinker_cnt - 1, 0)
    self.right_blinker_cnt = blinker_time if right_blinker_lamp else max(self.right_blinker_cnt - 1, 0)
    return self.left_blinker_cnt > 0, self.right_blinker_cnt > 0

  def update_blinker_from_stalk(self, blinker_time: int, left_blinker_stalk: bool, right_blinker_stalk: bool):
    """Update blinkers from stalk position. When stalk is seen the blinker will be on for at least blinker_time,
    or until the stalk is turned off, whichever is longer. If the opposite stalk direction is seen the blinker
    is forced to the other side. On a rising edge of the stalk the timeout is reset."""

    if left_blinker_stalk:
      self.right_blinker_cnt = 0
      if not self.left_blinker_prev:
        self.left_blinker_cnt = blinker_time

    if right_blinker_stalk:
      self.left_blinker_cnt = 0
      if not self.right_blinker_prev:
        self.right_blinker_cnt = blinker_time

    self.left_blinker_cnt = max(self.left_blinker_cnt - 1, 0)
    self.right_blinker_cnt = max(self.right_blinker_cnt - 1, 0)

    self.left_blinker_prev = left_blinker_stalk
    self.right_blinker_prev = right_blinker_stalk

    return bool(left_blinker_stalk or self.left_blinker_cnt > 0), bool(right_blinker_stalk or self.right_blinker_cnt > 0)

  @staticmethod
  def parse_gear_shifter(gear: str) -> car.CarState.GearShifter:
    d: Dict[str, car.CarState.GearShifter] = {
        'P': GearShifter.park, 'R': GearShifter.reverse, 'N': GearShifter.neutral,
        'E': GearShifter.eco, 'T': GearShifter.manumatic, 'D': GearShifter.drive,
        'S': GearShifter.sport, 'L': GearShifter.low, 'B': GearShifter.brake
    }
    return d.get(gear, GearShifter.unknown)

  @staticmethod
  def get_cam_can_parser(CP):
    return None

  @staticmethod
  def get_adas_can_parser(CP):
    return None

  @staticmethod
  def get_body_can_parser(CP):
    return None

  @staticmethod
  def get_loopback_can_parser(CP):
    return None


# interface-specific helpers

def get_interface_attr(attr: str, combine_brands: bool = False, ignore_none: bool = False) -> Dict[str, Any]:
  # read all the folders in selfdrive/car and return a dict where:
  # - keys are all the car models or brand names
  # - values are attr values from all car folders
  result = {}
  for car_folder in sorted([x[0] for x in os.walk(BASEDIR + '/selfdrive/car')]):
    try:
      brand_name = car_folder.split('/')[-1]
      brand_values = __import__(f'selfdrive.car.{brand_name}.values', fromlist=[attr])
      if hasattr(brand_values, attr) or not ignore_none:
        attr_data = getattr(brand_values, attr, None)
      else:
        continue

      if combine_brands:
        if isinstance(attr_data, dict):
          for f, v in attr_data.items():
            result[f] = v
      else:
        result[brand_name] = attr_data
    except (ImportError, OSError):
      pass

  return result