carrot/selfdrive/car/tests/test_car_interfaces.py
Vehicle Researcher 4fca6dec8e openpilot v0.9.8 release
date: 2025-01-29T09:09:56
master commit: 227bb68e1891619b360b89809e6822d50d34228f
2025-01-29 09:09:58 +00:00

99 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.fingerprints import all_known_cars
from opendbc.car.fw_versions import FW_VERSIONS, FW_QUERY_CONFIGS
from opendbc.car.mock.values import CAR as MOCK
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(all_known_cars())] + [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 = 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)