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>
This commit is contained in:
2026-04-26 12:17:35 -05:00
parent d639e28057
commit 8b4b7e04b5
21 changed files with 204 additions and 941 deletions
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#!/usr/bin/env python3
"""
CLEARPILOT: minimal controlsd variant that runs while ignition is on but the
car is in Park. Keeps CAN parsing and carState publishing alive (so thermald
can see gearShifter and decide when to swap us out for the full controlsd),
but skips all of the heavy onroad work — no model, no planner, no lateral or
longitudinal control, no actuator commands.
Manager swaps between this and the full controlsd via predicate flips:
- this runs when: ignition AND not started
- full runs when: started (which requires ignition AND not_parked)
The two are mutually exclusive — only one publishes carState at a time.
"""
from types import SimpleNamespace
from openpilot.common.realtime import Priority, config_realtime_process
from openpilot.selfdrive.car.card import CarD
def _make_default_frogpilot_variables() -> SimpleNamespace:
"""Safe defaults for fields read inside CarInterface.update / CarState.update.
We're not actuating anything here; these only need to keep the update path
from raising AttributeError. False/0 across the board is the safe baseline."""
fv = SimpleNamespace()
fv.conditional_experimental_mode = False
fv.experimental_mode_via_distance = False
fv.traffic_mode = False
fv.sport_plus = False
fv.long_pitch = False
fv.no_lat_lane_change = False
return fv
def main():
config_realtime_process(4, Priority.CTRL_HIGH)
# CarD's __init__ blocks until it sees CAN + a pandaState, then calls get_car
# to fingerprint and write CarParams. Same path the full controlsd takes.
card = CarD()
card.initialize()
fv = _make_default_frogpilot_variables()
# state_update drains CAN, parses carState, publishes carState/carOutput/carParams.
# Internally blocks via drain_sock_raw(wait_for_one=True), so the loop is
# naturally paced by CAN traffic — no extra sleep needed.
while True:
card.state_update(fv)
if __name__ == "__main__":
main()