carrot/selfdrive/car/tests/test_car_interfaces.py
Vehicle Researcher 8eb8330d95 openpilot v0.9.9 release
date: 2025-03-08T09:09:29
master commit: ce355250be726f9bc8f0ac165a6cde41586a983d
2025-03-08 09:09:31 +00:00

101 lines
4.3 KiB
Python

import os
import math
import hypothesis.strategies as st
from hypothesis import Phase, given, settings
from parameterized import parameterized
from cereal import car
from opendbc.car import DT_CTRL
from opendbc.car.car_helpers import interfaces
from opendbc.car.structs import CarParams
from opendbc.car.tests.test_car_interfaces import get_fuzzy_car_interface_args
from opendbc.car.fw_versions import FW_VERSIONS, FW_QUERY_CONFIGS
from opendbc.car.mock.values import CAR as MOCK
from opendbc.car.values import PLATFORMS
from openpilot.selfdrive.controls.lib.latcontrol_angle import LatControlAngle
from openpilot.selfdrive.controls.lib.latcontrol_pid import LatControlPID
from openpilot.selfdrive.controls.lib.latcontrol_torque import LatControlTorque
from openpilot.selfdrive.controls.lib.longcontrol import LongControl
from openpilot.selfdrive.test.fuzzy_generation import FuzzyGenerator
ALL_ECUS = {ecu for ecus in FW_VERSIONS.values() for ecu in ecus.keys()}
ALL_ECUS |= {ecu for config in FW_QUERY_CONFIGS.values() for ecu in config.extra_ecus}
ALL_REQUESTS = {tuple(r.request) for config in FW_QUERY_CONFIGS.values() for r in config.requests}
MAX_EXAMPLES = int(os.environ.get('MAX_EXAMPLES', '60'))
class TestCarInterfaces:
# FIXME: Due to the lists used in carParams, Phase.target is very slow and will cause
# many generated examples to overrun when max_examples > ~20, don't use it
@parameterized.expand([(car,) for car in sorted(PLATFORMS)] + [MOCK.MOCK])
@settings(max_examples=MAX_EXAMPLES, deadline=None,
phases=(Phase.reuse, Phase.generate, Phase.shrink))
@given(data=st.data())
def test_car_interfaces(self, car_name, data):
CarInterface, CarController, CarState, RadarInterface = interfaces[car_name]
args = get_fuzzy_car_interface_args(data.draw)
car_params = CarInterface.get_params(car_name, args['fingerprints'], args['car_fw'],
experimental_long=args['experimental_long'], docs=False)
car_params = car_params.as_reader()
car_interface = CarInterface(car_params, CarController, CarState)
assert car_params
assert car_interface
assert car_params.mass > 1
assert car_params.wheelbase > 0
# centerToFront is center of gravity to front wheels, assert a reasonable range
assert car_params.wheelbase * 0.3 < car_params.centerToFront < car_params.wheelbase * 0.7
assert car_params.maxLateralAccel > 0
# Longitudinal sanity checks
assert len(car_params.longitudinalTuning.kpV) == len(car_params.longitudinalTuning.kpBP)
assert len(car_params.longitudinalTuning.kiV) == len(car_params.longitudinalTuning.kiBP)
# Lateral sanity checks
if car_params.steerControlType != CarParams.SteerControlType.angle:
tune = car_params.lateralTuning
if tune.which() == 'pid':
if car_name != MOCK.MOCK:
assert not math.isnan(tune.pid.kf) and tune.pid.kf > 0
assert len(tune.pid.kpV) > 0 and len(tune.pid.kpV) == len(tune.pid.kpBP)
assert len(tune.pid.kiV) > 0 and len(tune.pid.kiV) == len(tune.pid.kiBP)
elif tune.which() == 'torque':
assert not math.isnan(tune.torque.kf) and tune.torque.kf > 0
assert not math.isnan(tune.torque.friction) and tune.torque.friction > 0
cc_msg = FuzzyGenerator.get_random_msg(data.draw, car.CarControl, real_floats=True)
# Run car interface
now_nanos = 0
CC = car.CarControl.new_message(**cc_msg)
CC = CC.as_reader()
for _ in range(10):
car_interface.update([])
car_interface.apply(CC, now_nanos)
now_nanos += DT_CTRL * 1e9 # 10 ms
CC = car.CarControl.new_message(**cc_msg)
CC.enabled = True
CC.latActive = True
CC.longActive = True
CC = CC.as_reader()
for _ in range(10):
car_interface.update([])
car_interface.apply(CC, now_nanos)
now_nanos += DT_CTRL * 1e9 # 10ms
# Test controller initialization
# TODO: wait until card refactor is merged to run controller a few times,
# hypothesis also slows down significantly with just one more message draw
LongControl(car_params)
if car_params.steerControlType == CarParams.SteerControlType.angle:
LatControlAngle(car_params, car_interface)
elif car_params.lateralTuning.which() == 'pid':
LatControlPID(car_params, car_interface)
elif car_params.lateralTuning.which() == 'torque':
LatControlTorque(car_params, car_interface)