Files
clearpilot/selfdrive/controls/plannerd.py
T
brianhansonxyz 8b4b7e04b5 adopt modelrevert tree as the new clearpilot baseline
Replaces clearpilot's working state wholesale with the modelrevert branch's
tree (modelrevert tip cea422b). Discards the parked-controlsd manager-process
split and the two session READMEs that documented it; keeps the simpler
in-process park short-circuits (controlsd state_control, plannerd, frogpilot_process)
and the cached-output decimation (modeld, dmonitoringmodeld) that achieve
the same goal with less moving parts. Also brings in the locationd GPS
ignore, the calibrationd valid=calStatus gate, and the model-revert lineage's
controlsd / paramsd / torqued / events.py / carstate.py / interfaces.py.

This is a single new commit on clearpilot (no merge), so the branch advances
linearly while the file state matches modelrevert exactly.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-26 12:17:35 -05:00

51 lines
1.9 KiB
Python
Executable File

#!/usr/bin/env python3
from cereal import car
from openpilot.common.params import Params
from openpilot.common.realtime import Priority, config_realtime_process
from openpilot.common.swaglog import cloudlog
from openpilot.selfdrive.controls.lib.longitudinal_planner import LongitudinalPlanner
import cereal.messaging as messaging
def publish_ui_plan(sm, pm, longitudinal_planner):
ui_send = messaging.new_message('uiPlan')
ui_send.valid = sm.all_checks(service_list=['carState', 'controlsState', 'modelV2'])
uiPlan = ui_send.uiPlan
uiPlan.frameId = sm['modelV2'].frameId
uiPlan.position.x = list(sm['modelV2'].position.x)
uiPlan.position.y = list(sm['modelV2'].position.y)
uiPlan.position.z = list(sm['modelV2'].position.z)
uiPlan.accel = longitudinal_planner.a_desired_trajectory_full.tolist()
pm.send('uiPlan', ui_send)
def plannerd_thread():
config_realtime_process(5, Priority.CTRL_LOW)
cloudlog.info("plannerd is waiting for CarParams")
params = Params()
with car.CarParams.from_bytes(params.get("CarParams", block=True)) as msg:
CP = msg
cloudlog.info("plannerd got CarParams: %s", CP.carName)
longitudinal_planner = LongitudinalPlanner(CP)
pm = messaging.PubMaster(['longitudinalPlan', 'uiPlan'])
sm = messaging.SubMaster(['carControl', 'carState', 'controlsState', 'radarState', 'modelV2', 'frogpilotCarControl', 'frogpilotPlan'],
poll='modelV2', ignore_avg_freq=['radarState'])
while True:
sm.update()
if sm.updated['modelV2']:
# CLEARPILOT: skip planning while parked. The downstream consumer (controlsd)
# already short-circuits in park, so longitudinalPlan/uiPlan staleness is fine.
if sm['carState'].gearShifter == car.CarState.GearShifter.park:
continue
longitudinal_planner.update(sm)
longitudinal_planner.publish(sm, pm)
publish_ui_plan(sm, pm, longitudinal_planner)
def main():
plannerd_thread()
if __name__ == "__main__":
main()