openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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#!/usr/bin/env python3
import bz2
import math
import json
import os
import pathlib
import psutil
import pytest
import shutil
import subprocess
import time
import numpy as np
import unittest
from collections import Counter, defaultdict
from functools import cached_property
from pathlib import Path
from cereal import car
import cereal.messaging as messaging
from cereal.services import SERVICE_LIST
from openpilot.common.basedir import BASEDIR
from openpilot.common.timeout import Timeout
from openpilot.common.params import Params
from openpilot.selfdrive.controls.lib.events import EVENTS, ET
from openpilot.system.hardware import HARDWARE
from openpilot.selfdrive.test.helpers import set_params_enabled, release_only
from openpilot.system.hardware.hw import Paths
from openpilot.tools.lib.logreader import LogReader
# Baseline CPU usage by process
PROCS = {
"selfdrive.controls.controlsd": 39.0,
"./loggerd": 14.0,
"./encoderd": 17.0,
"./camerad": 14.5,
"./locationd": 11.0,
"./mapsd": (1.0, 10.0),
"selfdrive.controls.plannerd": 11.0,
"./ui": 18.0,
"selfdrive.locationd.paramsd": 9.0,
"./sensord": 7.0,
"selfdrive.controls.radard": 4.5,
"selfdrive.modeld.modeld": 13.0,
"selfdrive.modeld.dmonitoringmodeld": 8.0,
"selfdrive.modeld.navmodeld": 1.0,
"selfdrive.thermald.thermald": 3.87,
"selfdrive.locationd.calibrationd": 2.0,
Live torque (#25456) * wip torqued * add basic logic * setup in manager * check sanity and publish msg * add first order filter to outputs * wire up controlsd, and update gains * rename intercept to offset * add cloudlog, live values are not updated * fix bugs, do not reset points for now * fix crashes * rename to main * fix bugs, works offline * fix float in cereal bug * add latacc filter * randomly choose points, approx for iid * add variable decay * local param to capnp instead of dict * verify works in replay * use torqued output in controlsd * use in controlsd; use points from past routes * controlsd bugfix * filter before updating gains, needs to be replaced * save all points to ensure smooth transition across routes, revert friction factor to 1.5 * add filters to prevent noisy low-speed data points; improve fit sanity * add engaged buffer * revert lat_acc thresh * use paramsd realtime process config * make latacc-to-torque generic, and overrideable * move freq to 4Hz, avoid storing in np.array, don't publish points in the message * float instead of np * remove constant while storing pts * rename slope, offset to lat_accet_factor, offset * resolve issues * use camelcase in all capnp params * use camelcase everywhere * reduce latacc threshold or sanity, add car_sane todo, save points properly * add and check tag * write param to disk at end of route * remove args * rebase op, cereal * save on exit * restore default handler * cpu usage check * add to process replay * handle reset better, reduce unnecessary computation * always publish raw values - useful for debug * regen routes * update refs * checks on cache restore * check tuning vals too * clean that up * reduce cpu usage * reduce cpu usage by 75% * cleanup * optimize further * handle reset condition better, don't put points in init, use only in corolla * bump cereal after rebasing * update refs * Update common/params.cc Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> * remove unnecessary checks * Update RELEASES.md Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> old-commit-hash: 4fa62f146426f76c9c1c2867d9729b33ec612b59
3 years ago
"selfdrive.locationd.torqued": 5.0,
"selfdrive.ui.soundd": 5.8,
"selfdrive.monitoring.dmonitoringd": 4.0,
"./proclogd": 1.54,
"system.logmessaged": 0.2,
"selfdrive.tombstoned": 0,
"./logcatd": 0,
"system.micd": 10.0,
"system.timezoned": 0,
"selfdrive.boardd.pandad": 0,
"selfdrive.statsd": 0.4,
"selfdrive.navd.navd": 0.4,
"system.loggerd.uploader": 3.0,
"system.loggerd.deleter": 0.1,
}
PROCS.update({
"tici": {
"./boardd": 4.0,
"./ubloxd": 0.02,
"system.sensord.pigeond": 6.0,
},
"tizi": {
"./boardd": 19.0,
"system.qcomgpsd.qcomgpsd": 1.0,
}
}.get(HARDWARE.get_device_type(), {}))
TIMINGS = {
# rtols: max/min, rsd
"can": [2.5, 0.35],
"pandaStates": [2.5, 0.35],
"peripheralState": [2.5, 0.35],
"sendcan": [2.5, 0.35],
"carState": [2.5, 0.35],
"carControl": [2.5, 0.35],
"controlsState": [2.5, 0.35],
"lateralPlan": [2.5, 0.5],
"longitudinalPlan": [2.5, 0.5],
"roadCameraState": [2.5, 0.35],
"driverCameraState": [2.5, 0.35],
"modelV2": [2.5, 0.35],
"driverStateV2": [2.5, 0.40],
"navModel": [2.5, 0.35],
"mapRenderState": [2.5, 0.35],
"liveLocationKalman": [2.5, 0.35],
"wideRoadCameraState": [1.5, 0.35],
}
def cputime_total(ct):
return ct.cpuUser + ct.cpuSystem + ct.cpuChildrenUser + ct.cpuChildrenSystem
@pytest.mark.tici
class TestOnroad(unittest.TestCase):
@classmethod
def setUpClass(cls):
if "DEBUG" in os.environ:
segs = filter(lambda x: os.path.exists(os.path.join(x, "rlog")), Path(Paths.log_root()).iterdir())
segs = sorted(segs, key=lambda x: x.stat().st_mtime)
print(segs[-3])
cls.lr = list(LogReader(os.path.join(segs[-3], "rlog")))
return
# setup env
params = Params()
if "CI" in os.environ:
params.clear_all()
params.remove("CurrentRoute")
set_params_enabled()
os.environ['TESTING_CLOSET'] = '1'
if os.path.exists(Paths.log_root()):
shutil.rmtree(Paths.log_root())
os.system("rm /dev/shm/*")
# Make sure athena isn't running
os.system("pkill -9 -f athena")
# start manager and run openpilot for a minute
proc = None
try:
manager_path = os.path.join(BASEDIR, "selfdrive/manager/manager.py")
proc = subprocess.Popen(["python", manager_path])
sm = messaging.SubMaster(['carState'])
with Timeout(150, "controls didn't start"):
while sm.rcv_frame['carState'] < 0:
sm.update(1000)
# make sure we get at least two full segments
route = None
cls.segments = []
with Timeout(300, "timed out waiting for logs"):
while route is None:
route = params.get("CurrentRoute", encoding="utf-8")
time.sleep(0.1)
while len(cls.segments) < 3:
segs = set()
if Path(Paths.log_root()).exists():
segs = set(Path(Paths.log_root()).glob(f"{route}--*"))
cls.segments = sorted(segs, key=lambda s: int(str(s).rsplit('--')[-1]))
time.sleep(2)
# chop off last, incomplete segment
cls.segments = cls.segments[:-1]
finally:
cls.gpu_procs = {psutil.Process(int(f.name)).name() for f in pathlib.Path('/sys/devices/virtual/kgsl/kgsl/proc/').iterdir() if f.is_dir()}
if proc is not None:
proc.terminate()
if proc.wait(60) is None:
proc.kill()
cls.lrs = [list(LogReader(os.path.join(str(s), "rlog"))) for s in cls.segments]
# use the second segment by default as it's the first full segment
cls.lr = list(LogReader(os.path.join(str(cls.segments[1]), "rlog")))
cls.log_path = cls.segments[1]
@cached_property
def service_msgs(self):
msgs = defaultdict(list)
for m in self.lr:
msgs[m.which()].append(m)
return msgs
def test_service_frequencies(self):
for s, msgs in self.service_msgs.items():
if s in ('initData', 'sentinel'):
continue
# skip gps services for now
if s in ('ubloxGnss', 'ubloxRaw', 'gnssMeasurements', 'gpsLocation', 'gpsLocationExternal', 'qcomGnss'):
continue
with self.subTest(service=s):
assert len(msgs) >= math.floor(SERVICE_LIST[s].frequency*55)
def test_cloudlog_size(self):
msgs = [m for m in self.lr if m.which() == 'logMessage']
total_size = sum(len(m.as_builder().to_bytes()) for m in msgs)
self.assertLess(total_size, 3.5e5)
cnt = Counter(json.loads(m.logMessage)['filename'] for m in msgs)
big_logs = [f for f, n in cnt.most_common(3) if n / sum(cnt.values()) > 30.]
self.assertEqual(len(big_logs), 0, f"Log spam: {big_logs}")
def test_log_sizes(self):
for f in self.log_path.iterdir():
assert f.is_file()
sz = f.stat().st_size / 1e6
if f.name in ("qlog", "rlog"):
with open(f, 'rb') as ff:
sz = len(bz2.compress(ff.read())) / 1e6
if f.name == "qcamera.ts":
assert 2.15 < sz < 2.35
elif f.name == "qlog":
assert 0.7 < sz < 1.0
elif f.name == "rlog":
assert 5 < sz < 50
elif f.name.endswith('.hevc'):
assert 70 < sz < 77
else:
raise NotImplementedError
def test_ui_timings(self):
result = "\n"
result += "------------------------------------------------\n"
result += "-------------- UI Draw Timing ------------------\n"
result += "------------------------------------------------\n"
ts = [m.uiDebug.drawTimeMillis for m in self.service_msgs['uiDebug']]
result += f"min {min(ts):.2f}ms\n"
result += f"max {max(ts):.2f}ms\n"
result += f"std {np.std(ts):.2f}ms\n"
result += f"mean {np.mean(ts):.2f}ms\n"
result += "------------------------------------------------\n"
print(result)
self.assertLess(max(ts), 250.)
self.assertLess(np.mean(ts), 10.)
#self.assertLess(np.std(ts), 5.)
# some slow frames are expected since camerad/modeld can preempt ui
veryslow = [x for x in ts if x > 40.]
assert len(veryslow) < 5, f"Too many slow frame draw times: {veryslow}"
def test_cpu_usage(self):
result = "\n"
result += "------------------------------------------------\n"
result += "------------------ CPU Usage -------------------\n"
result += "------------------------------------------------\n"
plogs_by_proc = defaultdict(list)
for pl in self.service_msgs['procLog']:
for x in pl.procLog.procs:
if len(x.cmdline) > 0:
n = list(x.cmdline)[0]
plogs_by_proc[n].append(x)
print(plogs_by_proc.keys())
cpu_ok = True
dt = (self.service_msgs['procLog'][-1].logMonoTime - self.service_msgs['procLog'][0].logMonoTime) / 1e9
for proc_name, expected_cpu in PROCS.items():
err = ""
cpu_usage = 0.
x = plogs_by_proc[proc_name]
if len(x) > 2:
cpu_time = cputime_total(x[-1]) - cputime_total(x[0])
cpu_usage = cpu_time / dt * 100.
if isinstance(expected_cpu, tuple):
exp = str(expected_cpu)
minn, maxx = expected_cpu
else:
exp = f"{expected_cpu:5.2f}"
minn = min(expected_cpu * 0.65, max(expected_cpu - 1.0, 0.0))
maxx = max(expected_cpu * 1.15, expected_cpu + 5.0)
if cpu_usage > maxx:
err = "using more CPU than expected"
elif cpu_usage < minn:
err = "using less CPU than expected"
else:
err = "NO METRICS FOUND"
result += f"{proc_name.ljust(35)} {cpu_usage:5.2f}% ({exp}%) {err}\n"
if len(err) > 0:
cpu_ok = False
# Ensure there's no missing procs
all_procs = {p.name for p in self.service_msgs['managerState'][0].managerState.processes if p.shouldBeRunning}
for p in all_procs:
with self.subTest(proc=p):
assert any(p in pp for pp in PROCS.keys()), f"Expected CPU usage missing for {p}"
result += "------------------------------------------------\n"
print(result)
self.assertTrue(cpu_ok)
def test_memory_usage(self):
mems = [m.deviceState.memoryUsagePercent for m in self.service_msgs['deviceState']]
print("Memory usage: ", mems)
# check for big leaks. note that memory usage is
# expected to go up while the MSGQ buffers fill up
self.assertLessEqual(max(mems) - min(mems), 3.0)
def test_gpu_usage(self):
self.assertEqual(self.gpu_procs, {"weston", "ui", "camerad", "selfdrive.modeld.modeld"})
def test_camera_processing_time(self):
result = "\n"
result += "------------------------------------------------\n"
result += "-------------- Debayer Timing ------------------\n"
result += "------------------------------------------------\n"
ts = [getattr(m, m.which()).processingTime for m in self.lr if 'CameraState' in m.which()]
self.assertLess(min(ts), 0.025, f"high execution time: {min(ts)}")
result += f"execution time: min {min(ts):.5f}s\n"
result += f"execution time: max {max(ts):.5f}s\n"
result += f"execution time: mean {np.mean(ts):.5f}s\n"
result += "------------------------------------------------\n"
print(result)
@unittest.skip("TODO: enable once timings are fixed")
def test_camera_frame_timings(self):
result = "\n"
result += "------------------------------------------------\n"
result += "----------------- SoF Timing ------------------\n"
result += "------------------------------------------------\n"
for name in ['roadCameraState', 'wideRoadCameraState', 'driverCameraState']:
ts = [getattr(m, m.which()).timestampSof for m in self.lr if name in m.which()]
d_ms = np.diff(ts) / 1e6
d50 = np.abs(d_ms-50)
self.assertLess(max(d50), 1.0, f"high sof delta vs 50ms: {max(d50)}")
result += f"{name} sof delta vs 50ms: min {min(d50):.5f}s\n"
result += f"{name} sof delta vs 50ms: max {max(d50):.5f}s\n"
result += f"{name} sof delta vs 50ms: mean {d50.mean():.5f}s\n"
result += "------------------------------------------------\n"
print(result)
def test_mpc_execution_timings(self):
result = "\n"
result += "------------------------------------------------\n"
result += "----------------- MPC Timing ------------------\n"
result += "------------------------------------------------\n"
cfgs = [("lateralPlan", 0.05, 0.05), ("longitudinalPlan", 0.05, 0.05)]
for (s, instant_max, avg_max) in cfgs:
ts = [getattr(m, s).solverExecutionTime for m in self.service_msgs[s]]
self.assertLess(max(ts), instant_max, f"high '{s}' execution time: {max(ts)}")
self.assertLess(np.mean(ts), avg_max, f"high avg '{s}' execution time: {np.mean(ts)}")
result += f"'{s}' execution time: min {min(ts):.5f}s\n"
result += f"'{s}' execution time: max {max(ts):.5f}s\n"
result += f"'{s}' execution time: mean {np.mean(ts):.5f}s\n"
result += "------------------------------------------------\n"
print(result)
def test_model_execution_timings(self):
result = "\n"
result += "------------------------------------------------\n"
result += "----------------- Model Timing -----------------\n"
result += "------------------------------------------------\n"
# TODO: this went up when plannerd cpu usage increased, why?
cfgs = [
("modelV2", 0.050, 0.036),
("driverStateV2", 0.050, 0.026),
]
for (s, instant_max, avg_max) in cfgs:
ts = [getattr(m, s).modelExecutionTime for m in self.service_msgs[s]]
self.assertLess(max(ts), instant_max, f"high '{s}' execution time: {max(ts)}")
self.assertLess(np.mean(ts), avg_max, f"high avg '{s}' execution time: {np.mean(ts)}")
result += f"'{s}' execution time: min {min(ts):.5f}s\n"
result += f"'{s}' execution time: max {max(ts):.5f}s\n"
result += f"'{s}' execution time: mean {np.mean(ts):.5f}s\n"
result += "------------------------------------------------\n"
print(result)
def test_timings(self):
passed = True
result = "\n"
result += "------------------------------------------------\n"
result += "----------------- Service Timings --------------\n"
result += "------------------------------------------------\n"
for s, (maxmin, rsd) in TIMINGS.items():
msgs = [m.logMonoTime for m in self.service_msgs[s]]
if not len(msgs):
raise Exception(f"missing {s}")
ts = np.diff(msgs) / 1e9
dt = 1 / SERVICE_LIST[s].frequency
try:
np.testing.assert_allclose(np.mean(ts), dt, rtol=0.03, err_msg=f"{s} - failed mean timing check")
np.testing.assert_allclose([np.max(ts), np.min(ts)], dt, rtol=maxmin, err_msg=f"{s} - failed max/min timing check")
except Exception as e:
result += str(e) + "\n"
passed = False
if np.std(ts) / dt > rsd:
result += f"{s} - failed RSD timing check\n"
passed = False
result += f"{s.ljust(40)}: {np.array([np.mean(ts), np.max(ts), np.min(ts)])*1e3}\n"
result += f"{''.ljust(40)} {np.max(np.absolute([np.max(ts)/dt, np.min(ts)/dt]))} {np.std(ts)/dt}\n"
result += "="*67
print(result)
self.assertTrue(passed)
@release_only
def test_startup(self):
startup_alert = None
for msg in self.lrs[0]:
# can't use onroadEvents because the first msg can be dropped while loggerd is starting up
if msg.which() == "controlsState":
startup_alert = msg.controlsState.alertText1
break
expected = EVENTS[car.CarEvent.EventName.startup][ET.PERMANENT].alert_text_1
self.assertEqual(startup_alert, expected, "wrong startup alert")
def test_engagable(self):
no_entries = Counter()
for m in self.service_msgs['onroadEvents']:
for evt in m.onroadEvents:
if evt.noEntry:
no_entries[evt.name] += 1
eng = [m.controlsState.engageable for m in self.service_msgs['controlsState']]
assert all(eng), \
f"Not engageable for whole segment:\n- controlsState.engageable: {Counter(eng)}\n- No entry events: {no_entries}"
if __name__ == "__main__":
unittest.main()