Files
sunnypilot/openpilot/selfdrive/controls/tests/test_ford_controlsd_logging.py
Isaac Barham cf69210bb8 Ford: release conflicting C1 correction when the path agrees
An accumulated correction can outweigh a new C1 request while measured
curvature still points the other way. Release that correction only with fresh
feedback and agreement from both target and slewed C0. Keep steady-target
correction, the existing integral strength, output limits and arbitration.

Record releases in the v2 diagnostic identity. The change adds one release
condition and a diagnostic counter; the command law still has three states.

Validation: 567 tests and 9,146 subtests pass, with 178 inherited or unsupported
skips. Randomized and b8/b9 replay checks cover 669,343 Float32/CAN round trips.
Activation and C0 match the previous controller exactly. Replay verifies
command behavior only; no physical response or stability claim is made.
2026-09-10 10:01:37 -04:00

60 lines
3.2 KiB
Python

import ast
import io
import json
import logging
from pathlib import Path
from types import SimpleNamespace
import unittest
from openpilot.common.logging_extra import SwagFormatter, SwagLogger
from openpilot.selfdrive.controls.lib.ford_model_action import FordModelActionController
from openpilot.selfdrive.controls.lib.ford_path import FordPathController, FordPscmObserverPathController
from openpilot.selfdrive.controls.tests.test_ford_model_action import circle
class TestFordControlsLogging(unittest.TestCase):
def emit_controls_event(self, event, controls):
# Execute the actual controlsd call with the real logger and formatter,
# without launching hardware-dependent Controls or opening logging IPC.
source_path = Path(__file__).resolve().parents[1] / 'controlsd.py'
source = ast.parse(source_path.read_text())
calls = [node for node in ast.walk(source) if isinstance(node, ast.Call)
and isinstance(node.func, ast.Attribute) and isinstance(node.func.value, ast.Name)
and node.func.value.id == 'cloudlog' and node.args
and isinstance(node.args[0], ast.Constant) and node.args[0].value == event]
self.assertEqual(len(calls), 1)
logger = SwagLogger()
logger.setLevel(logging.INFO) # disabled INFO logging would hide this crash
stream = io.StringIO()
handler = logging.StreamHandler(stream)
handler.setFormatter(SwagFormatter(logger))
logger.addHandler(handler)
try:
expression = ast.Expression(body=calls[0])
eval(compile(expression, str(source_path), 'eval'), {'cloudlog': logger, 'self': controls, 'reference_service': 'modelV2'})
record = json.loads(stream.getvalue())
finally:
handler.close()
self.assertEqual(record['level'], 'INFO')
self.assertEqual(record['msg']['event'], event)
return record['msg']
def test_startup_logs_selected_controller_without_crashing(self):
for controller in (FordPathController(), FordPscmObserverPathController(), FordModelActionController()):
with self.subTest(controller=type(controller).__name__):
record = self.emit_controls_event('Ford path controller selected', SimpleNamespace(ford_path_controller=controller))
self.assertEqual(record['controller'], type(controller).__name__)
def test_candidate_diagnostics_identify_the_experiment_and_do_not_claim_calibration(self):
controller = FordModelActionController()
for active, valid in ((False, True), (True, True), (True, False)):
controller.update(circle(.01), .005, current_curvature=.0025, yaw_rate=.05, speed=20., now=1.,
measurement_time=1., model_time=1., reference_time=1., active=active, valid=valid)
controls = SimpleNamespace(ford_path_controller=controller, desired_curvature=.005, curvature=.0025,
sm=SimpleNamespace(logMonoTime={'modelV2': 123456789, 'carState': 123450000}))
record = self.emit_controls_event('Ford C2-free path tracking', controls)
self.assertEqual(record['hypothesis'], 'model-action-c1-feedback-v2')
self.assertIs(record['calibration_approved'], False)
self.assertEqual(record['command'][2:], [0., 0.])
self.assertEqual(record['status'], controller.diagnostics['status'])