openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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import pyray as rl
from enum import Enum
from cereal import messaging, log
from openpilot.common.params import Params, UnknownKeyName
from openpilot.selfdrive.ui.lib.prime_state import PrimeState
UI_BORDER_SIZE = 30
class UIStatus(Enum):
DISENGAGED = "disengaged"
ENGAGED = "engaged"
OVERRIDE = "override"
class UIState:
_instance: 'UIState | None' = None
def __new__(cls):
if cls._instance is None:
cls._instance = super().__new__(cls)
cls._instance._initialize()
return cls._instance
def _initialize(self):
self.params = Params()
self.sm = messaging.SubMaster(
[
"modelV2",
"controlsState",
"liveCalibration",
"radarState",
"deviceState",
"pandaStates",
"carParams",
"driverMonitoringState",
"carState",
"driverStateV2",
"roadCameraState",
"wideRoadCameraState",
"managerState",
"selfdriveState",
"longitudinalPlan",
]
)
self.prime_state = PrimeState()
# UI Status tracking
self.status: UIStatus = UIStatus.DISENGAGED
self.started_frame: int = 0
self._engaged_prev: bool = False
self._started_prev: bool = False
# Core state variables
self.is_metric: bool = self.params.get_bool("IsMetric")
self.started: bool = False
self.ignition: bool = False
self.panda_type: log.PandaState.PandaType = log.PandaState.PandaType.unknown
self.personality: log.LongitudinalPersonality = log.LongitudinalPersonality.standard
self.light_sensor: float = -1.0
self._update_params()
@property
def engaged(self) -> bool:
return self.started and self.sm["selfdriveState"].enabled
def is_onroad(self) -> bool:
return self.started
def is_offroad(self) -> bool:
return not self.started
def update(self) -> None:
self.sm.update(0)
self._update_state()
self._update_status()
def _update_state(self) -> None:
# Handle panda states updates
if self.sm.updated["pandaStates"]:
panda_states = self.sm["pandaStates"]
if len(panda_states) > 0:
# Get panda type from first panda
self.panda_type = panda_states[0].pandaType
# Check ignition status across all pandas
if self.panda_type != log.PandaState.PandaType.unknown:
self.ignition = any(state.ignitionLine or state.ignitionCan for state in panda_states)
elif self.sm.frame - self.sm.recv_frame["pandaStates"] > 5 * rl.get_fps():
self.panda_type = log.PandaState.PandaType.unknown
# Handle wide road camera state updates
if self.sm.updated["wideRoadCameraState"]:
cam_state = self.sm["wideRoadCameraState"]
# Scale factor based on sensor type
scale = 6.0 if cam_state.sensor == 'ar0231' else 1.0
self.light_sensor = max(100.0 - scale * cam_state.exposureValPercent, 0.0)
elif not self.sm.alive["wideRoadCameraState"] or not self.sm.valid["wideRoadCameraState"]:
self.light_sensor = -1
# Update started state
self.started = self.sm["deviceState"].started and self.ignition
def _update_status(self) -> None:
if self.started and self.sm.updated["selfdriveState"]:
ss = self.sm["selfdriveState"]
state = ss.state
if state in (log.SelfdriveState.OpenpilotState.preEnabled, log.SelfdriveState.OpenpilotState.overriding):
self.status = UIStatus.OVERRIDE
else:
self.status = UIStatus.ENGAGED if ss.enabled else UIStatus.DISENGAGED
# Check for engagement state changes
if self.engaged != self._engaged_prev:
self._engaged_prev = self.engaged
# Handle onroad/offroad transition
if self.started != self._started_prev or self.sm.frame == 1:
if self.started:
self.status = UIStatus.DISENGAGED
self.started_frame = self.sm.frame
self._started_prev = self.started
def _update_params(self) -> None:
try:
self.is_metric = self.params.get_bool("IsMetric")
except UnknownKeyName:
self.is_metric = False
# Global instance
ui_state = UIState()