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@@ -117,6 +117,8 @@ class Controls:
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self.params.remove("ExperimentalMode")
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self.CS_prev = car.CarState.new_message()
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self.CC_prev = car.CarControl.new_message()
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self.lac_log_prev = None
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self.AM = AlertManager()
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self.events = Events()
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@@ -216,16 +218,10 @@ class Controls:
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if self.sm['deviceState'].thermalStatus >= ThermalStatus.red:
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self.events.add(EventName.overheat)
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if self.sm['deviceState'].freeSpacePercent < 7 and not SIMULATION:
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# under 7% of space free no enable allowed
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self.events.add(EventName.outOfSpace)
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if self.sm['deviceState'].memoryUsagePercent > 90 and not SIMULATION:
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self.events.add(EventName.lowMemory)
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# TODO: enable this once loggerd CPU usage is more reasonable
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#cpus = list(self.sm['deviceState'].cpuUsagePercent)
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#if max(cpus, default=0) > 95 and not SIMULATION:
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# self.events.add(EventName.highCpuUsage)
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# Alert if fan isn't spinning for 5 seconds
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if self.sm['peripheralState'].pandaType != log.PandaState.PandaType.unknown:
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if self.sm['peripheralState'].fanSpeedRpm < 500 and self.sm['deviceState'].fanSpeedPercentDesired > 50:
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@@ -248,6 +244,13 @@ class Controls:
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else:
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self.events.add(EventName.calibrationInvalid)
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# Lane departure warning
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if self.sm.valid['modelV2'] and CS.canValid:
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self.ldw.update(self.sm.frame, self.sm['modelV2'], CS, self.CC_prev)
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if self.is_ldw_enabled and self.sm['liveCalibration'].calStatus == log.LiveCalibrationData.Status.calibrated:
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if self.ldw.warning:
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self.events.add(EventName.ldw)
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# Handle lane change
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if self.sm['modelV2'].meta.laneChangeState == LaneChangeState.preLaneChange:
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direction = self.sm['modelV2'].meta.laneChangeDirection
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@@ -348,6 +351,37 @@ class Controls:
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if self.cruise_mismatch_counter > int(6. / DT_CTRL):
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self.events.add(EventName.cruiseMismatch)
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# Send a "steering required alert" if saturation count has reached the limit
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lac_log = self.lac_log_prev
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if CS.steeringPressed:
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self.last_steering_pressed_frame = self.sm.frame
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recent_steer_pressed = (self.sm.frame - self.last_steering_pressed_frame)*DT_CTRL < 2.0
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if self.lac_log_prev is not None and self.lac_log_prev.active and not recent_steer_pressed and not self.CP.notCar:
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lac_log = self.lac_log_prev
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if self.CP.lateralTuning.which() == 'torque' and not self.joystick_mode:
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undershooting = abs(lac_log.desiredLateralAccel) / abs(1e-3 + lac_log.actualLateralAccel) > 1.2
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turning = abs(lac_log.desiredLateralAccel) > 1.0
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good_speed = CS.vEgo > 5
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max_torque = abs(self.sm['carOutput'].actuatorsOutput.steer) > 0.99
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if undershooting and turning and good_speed and max_torque:
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self.events.add(EventName.steerSaturated)
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elif lac_log.saturated:
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# TODO probably should not use dpath_points but curvature
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dpath_points = self.sm['modelV2'].position.y
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if len(dpath_points):
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# Check if we deviated from the path
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# TODO use desired vs actual curvature
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if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
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steering_value = self.CC_prev.actuators.steeringAngleDeg
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else:
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steering_value = self.CC_prev.actuators.steer
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left_deviation = steering_value > 0 and dpath_points[0] < -0.20
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right_deviation = steering_value < 0 and dpath_points[0] > 0.20
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if left_deviation or right_deviation:
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self.events.add(EventName.steerSaturated)
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# Check for FCW
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stock_long_is_braking = self.enabled and not self.CP.openpilotLongitudinalControl and CS.aEgo < -1.25
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model_fcw = self.sm['modelV2'].meta.hardBrakePredicted and not CS.brakePressed and not stock_long_is_braking
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@@ -521,36 +555,6 @@ class Controls:
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lac_log.output = actuators.steer
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lac_log.saturated = abs(actuators.steer) >= 0.9
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if CS.steeringPressed:
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self.last_steering_pressed_frame = self.sm.frame
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recent_steer_pressed = (self.sm.frame - self.last_steering_pressed_frame)*DT_CTRL < 2.0
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# Send a "steering required alert" if saturation count has reached the limit
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if lac_log.active and not recent_steer_pressed and not self.CP.notCar:
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if self.CP.lateralTuning.which() == 'torque' and not self.joystick_mode:
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undershooting = abs(lac_log.desiredLateralAccel) / abs(1e-3 + lac_log.actualLateralAccel) > 1.2
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turning = abs(lac_log.desiredLateralAccel) > 1.0
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good_speed = CS.vEgo > 5
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max_torque = abs(self.sm['carOutput'].actuatorsOutput.steer) > 0.99
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if undershooting and turning and good_speed and max_torque:
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lac_log.active and self.events.add(EventName.steerSaturated)
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elif lac_log.saturated:
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# TODO probably should not use dpath_points but curvature
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dpath_points = model_v2.position.y
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if len(dpath_points):
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# Check if we deviated from the path
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# TODO use desired vs actual curvature
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if self.CP.steerControlType == car.CarParams.SteerControlType.angle:
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steering_value = actuators.steeringAngleDeg
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else:
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steering_value = actuators.steer
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left_deviation = steering_value > 0 and dpath_points[0] < -0.20
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right_deviation = steering_value < 0 and dpath_points[0] > 0.20
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if left_deviation or right_deviation:
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self.events.add(EventName.steerSaturated)
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# Ensure no NaNs/Infs
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for p in ACTUATOR_FIELDS:
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attr = getattr(actuators, p)
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@@ -563,9 +567,20 @@ class Controls:
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return CC, lac_log
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def publish_logs(self, CS, CC, lac_log):
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"""Send actuators and hud commands to the car, send controlsstate and MPC logging"""
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def update_alerts(self, CS):
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clear_event_types = set()
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if ET.WARNING not in self.state_machine.current_alert_types:
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clear_event_types.add(ET.WARNING)
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if self.enabled:
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clear_event_types.add(ET.NO_ENTRY)
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pers = {v: k for k, v in log.LongitudinalPersonality.schema.enumerants.items()}[self.personality]
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alerts = self.events.create_alerts(self.state_machine.current_alert_types, [self.CP, CS, self.sm, self.is_metric,
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self.state_machine.soft_disable_timer, pers])
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self.AM.add_many(self.sm.frame, alerts)
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self.AM.process_alerts(self.sm.frame, clear_event_types)
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def publish_carControl(self, CS, CC, lac_log):
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# Orientation and angle rates can be useful for carcontroller
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# Only calibrated (car) frame is relevant for the carcontroller
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if self.calibrated_pose is not None:
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@@ -591,26 +606,12 @@ class Controls:
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hudControl.rightLaneVisible = True
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hudControl.leftLaneVisible = True
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self.ldw.update(self.sm.frame, self.sm['modelV2'], CS, CC)
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if self.is_ldw_enabled and self.sm['liveCalibration'].calStatus == log.LiveCalibrationData.Status.calibrated:
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if self.sm.valid['modelV2'] and CS.canValid and self.is_ldw_enabled and self.sm['liveCalibration'].calStatus == log.LiveCalibrationData.Status.calibrated:
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hudControl.leftLaneDepart = self.ldw.left
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hudControl.rightLaneDepart = self.ldw.right
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if self.ldw.warning:
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self.events.add(EventName.ldw)
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clear_event_types = set()
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if ET.WARNING not in self.state_machine.current_alert_types:
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clear_event_types.add(ET.WARNING)
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if self.enabled:
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clear_event_types.add(ET.NO_ENTRY)
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pers = {v: k for k, v in log.LongitudinalPersonality.schema.enumerants.items()}[self.personality]
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alerts = self.events.create_alerts(self.state_machine.current_alert_types, [self.CP, CS, self.sm, self.is_metric,
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self.state_machine.soft_disable_timer, pers])
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self.AM.add_many(self.sm.frame, alerts)
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current_alert = self.AM.process_alerts(self.sm.frame, clear_event_types)
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if current_alert:
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hudControl.visualAlert = current_alert.visual_alert
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if self.AM.current_alert:
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hudControl.visualAlert = self.AM.current_alert.visual_alert
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if not self.CP.passive and self.initialized:
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CO = self.sm['carOutput']
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@@ -620,53 +621,57 @@ class Controls:
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else:
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self.steer_limited = abs(CC.actuators.steer - CO.actuatorsOutput.steer) > 1e-2
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force_decel = (self.sm['driverMonitoringState'].awarenessStatus < 0.) or \
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(self.state_machine.state == State.softDisabling)
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# Curvature & Steering angle
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lp = self.sm['liveParameters']
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steer_angle_without_offset = math.radians(CS.steeringAngleDeg - lp.angleOffsetDeg)
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curvature = -self.VM.calc_curvature(steer_angle_without_offset, CS.vEgo, lp.roll)
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# controlsState
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dat = messaging.new_message('controlsState')
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dat.valid = CS.canValid
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controlsState = dat.controlsState
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controlsState.longitudinalPlanMonoTime = self.sm.logMonoTime['longitudinalPlan']
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controlsState.lateralPlanMonoTime = self.sm.logMonoTime['modelV2']
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controlsState.curvature = curvature
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controlsState.desiredCurvature = self.desired_curvature
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controlsState.longControlState = self.LoC.long_control_state
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controlsState.upAccelCmd = float(self.LoC.pid.p)
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controlsState.uiAccelCmd = float(self.LoC.pid.i)
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controlsState.ufAccelCmd = float(self.LoC.pid.f)
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controlsState.cumLagMs = -self.rk.remaining * 1000.
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controlsState.forceDecel = bool(force_decel)
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cs = dat.controlsState
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lp = self.sm['liveParameters']
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steer_angle_without_offset = math.radians(CS.steeringAngleDeg - lp.angleOffsetDeg)
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cs.curvature = -self.VM.calc_curvature(steer_angle_without_offset, CS.vEgo, lp.roll)
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cs.longitudinalPlanMonoTime = self.sm.logMonoTime['longitudinalPlan']
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cs.lateralPlanMonoTime = self.sm.logMonoTime['modelV2']
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cs.desiredCurvature = self.desired_curvature
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cs.longControlState = self.LoC.long_control_state
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cs.upAccelCmd = float(self.LoC.pid.p)
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cs.uiAccelCmd = float(self.LoC.pid.i)
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cs.ufAccelCmd = float(self.LoC.pid.f)
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cs.cumLagMs = -self.rk.remaining * 1000.
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cs.forceDecel = bool((self.sm['driverMonitoringState'].awarenessStatus < 0.) or
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(self.state_machine.state == State.softDisabling))
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lat_tuning = self.CP.lateralTuning.which()
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if self.joystick_mode:
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controlsState.lateralControlState.debugState = lac_log
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cs.lateralControlState.debugState = lac_log
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elif self.CP.steerControlType == car.CarParams.SteerControlType.angle:
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controlsState.lateralControlState.angleState = lac_log
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cs.lateralControlState.angleState = lac_log
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elif lat_tuning == 'pid':
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controlsState.lateralControlState.pidState = lac_log
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cs.lateralControlState.pidState = lac_log
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elif lat_tuning == 'torque':
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controlsState.lateralControlState.torqueState = lac_log
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cs.lateralControlState.torqueState = lac_log
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self.pm.send('controlsState', dat)
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# carControl
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cc_send = messaging.new_message('carControl')
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cc_send.valid = CS.canValid
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cc_send.carControl = CC
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self.pm.send('carControl', cc_send)
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def publish_selfdriveState(self, CS):
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# selfdriveState
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ss_msg = messaging.new_message('selfdriveState')
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ss_msg.valid = CS.canValid
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ss = ss_msg.selfdriveState
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if current_alert:
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ss.alertText1 = current_alert.alert_text_1
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ss.alertText2 = current_alert.alert_text_2
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ss.alertSize = current_alert.alert_size
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ss.alertStatus = current_alert.alert_status
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ss.alertType = current_alert.alert_type
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ss.alertSound = current_alert.audible_alert
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if self.AM.current_alert:
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ss.alertText1 = self.AM.current_alert.alert_text_1
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ss.alertText2 = self.AM.current_alert.alert_text_2
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ss.alertSize = self.AM.current_alert.alert_size
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ss.alertStatus = self.AM.current_alert.alert_status
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ss.alertType = self.AM.current_alert.alert_type
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ss.alertSound = self.AM.current_alert.audible_alert
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ss.enabled = self.enabled
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ss.active = self.active
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ss.state = self.state_machine.state
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@@ -683,30 +688,23 @@ class Controls:
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self.pm.send('onroadEvents', ce_send)
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self.events_prev = self.events.names.copy()
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# carControl
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cc_send = messaging.new_message('carControl')
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cc_send.valid = CS.canValid
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cc_send.carControl = CC
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self.pm.send('carControl', cc_send)
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def step(self):
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# Sample data from sockets and get a carState
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CS = self.data_sample()
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cloudlog.timestamp("Data sampled")
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self.update_events(CS)
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cloudlog.timestamp("Events updated")
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if not self.CP.passive and self.initialized:
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self.enabled, self.active = self.state_machine.update(self.events)
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self.update_alerts(CS)
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# Compute actuators (runs PID loops and lateral MPC)
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CC, lac_log = self.state_control(CS)
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# Publish data
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self.publish_logs(CS, CC, lac_log)
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self.publish_carControl(CS, CC, lac_log)
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self.publish_selfdriveState(CS)
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self.CS_prev = CS
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self.CC_prev = CC
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self.lac_log_prev = lac_log
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def read_personality_param(self):
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try:
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