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>
controlsd: in park+ignition-on, run full step() only every 10th cycle.
data_sample still runs every cycle (CAN parse, button detection) and
card.controls_update still runs every cycle (CAN TX heartbeat, counter
increments). Skipped cycles re-send cached controlsState/carControl so
downstream freq_ok stays OK. Button edge handling + display-mode
transitions extracted to handle_screen_mode() and called every cycle so
debug-button presses aren't dropped. controlsd: 55% → 30% CPU in park.
dmonitoringmodeld: subscribe to carState; at standstill, skip model.run
and re-publish last inference. driverStateV2 continues flowing at 10Hz
with known-good last face data (driver can't become distracted relative
to a stopped car). ~5% CPU saved.
power_monitoring: remove the `car_battery_capacity_uWh <= 0` shutdown
trigger. That virtual capacity counter floor-limits to 3e6 µWh on boot
and drains in ~12 min at typical device power, so a short drive (that
doesn't fully recharge the 30e6 µWh virtual cap) followed by a quick
store stop would trip shutdown well before the 30-min idle timer. The
real car-battery-voltage protection (low_voltage_shutdown at 11.8V with
60s debounce) is kept.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>