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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import math
import json
import os
import pathlib
import psutil
import pytest
import shutil
import subprocess
import time
import numpy as np
import zstandard as zstd
from collections import Counter, defaultdict
from pathlib import Path
from tabulate import tabulate
from cereal import car, log
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.selfdrived.events import EVENTS, ET
from openpilot.selfdrive.test.helpers import set_params_enabled, release_only
from openpilot.system.hardware import HARDWARE
from openpilot.system.hardware.hw import Paths
from openpilot.common.file_helpers import LOG_COMPRESSION_LEVEL
from openpilot.tools.lib.logreader import LogReader
"""
CPU usage budget
* each process is entitled to at least 8%
* total CPU usage of openpilot (sum(PROCS.values())
should not exceed MAX_TOTAL_CPU
"""
TEST_DURATION = 25
LOG_OFFSET = 8
MAX_TOTAL_CPU = 275. # total for all 8 cores
PROCS = {
# Baseline CPU usage by process
"selfdrive.controls.controlsd": 16.0,
"selfdrive.selfdrived.selfdrived": 16.0,
"selfdrive.car.card": 26.0,
"./loggerd": 14.0,
"./encoderd": 17.0,
"./camerad": 14.5,
"selfdrive.controls.plannerd": 9.0,
"./ui": 18.0,
"selfdrive.locationd.paramsd": 9.0,
"./sensord": 7.0,
"selfdrive.controls.radard": 2.0,
"selfdrive.modeld.modeld": 22.0,
"selfdrive.modeld.dmonitoringmodeld": 21.0,
"system.hardware.hardwared": 4.0,
"selfdrive.locationd.calibrationd": 2.0,
"selfdrive.locationd.torqued": 5.0,
"selfdrive.locationd.locationd": 25.0,
"selfdrive.ui.soundd": 3.0,
"selfdrive.monitoring.dmonitoringd": 4.0,
"./proclogd": 2.0,
"system.logmessaged": 1.0,
"system.tombstoned": 0,
"./logcatd": 1.0,
"system.micd": 5.0,
"system.timed": 0,
"selfdrive.pandad.pandad": 0,
"system.statsd": 1.0,
"system.loggerd.uploader": 15.0,
"system.loggerd.deleter": 1.0,
}
PROCS.update({
"tici": {
"./pandad": 5.0,
"./ubloxd": 1.0,
"system.ubloxd.pigeond": 6.0,
},
"tizi": {
"./pandad": 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],
"longitudinalPlan": [2.5, 0.5],
"driverAssistance": [2.5, 0.5],
"roadCameraState": [2.5, 0.35],
"driverCameraState": [2.5, 0.35],
"modelV2": [2.5, 0.35],
"driverStateV2": [2.5, 0.40],
"livePose": [2.5, 0.35],
"wideRoadCameraState": [1.5, 0.35],
}
LOGS_SIZE_RATE = {
"qlog": 0.0083,
"rlog": 0.135,
"qcamera.ts": 0.03828,
}
LOGS_SIZE_RATE.update(dict.fromkeys(['ecamera.hevc', 'fcamera.hevc'], 1.2740))
def cputime_total(ct):
return ct.cpuUser + ct.cpuSystem + ct.cpuChildrenUser + ct.cpuChildrenSystem
@pytest.mark.tici
class TestOnroad:
@classmethod
def setup_class(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()
params.remove("CurrentRoute")
set_params_enabled()
os.environ['REPLAY'] = '1'
os.environ['TESTING_CLOSET'] = '1'
if os.path.exists(Paths.log_root()):
shutil.rmtree(Paths.log_root())
# start manager and run openpilot for TEST_DURATION
proc = None
try:
manager_path = os.path.join(BASEDIR, "system/manager/manager.py")
cls.manager_st = time.monotonic()
proc = subprocess.Popen(["python", manager_path])
sm = messaging.SubMaster(['carState'])
with Timeout(150, "controls didn't start"):
while sm.recv_frame['carState'] < 0:
sm.update(1000)
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(0.01)
# test car params caching
params.put("CarParamsCache", car.CarParams().to_bytes())
while len(cls.segments) < 1:
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(0.01)
time.sleep(TEST_DURATION)
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]
cls.lr = list(LogReader(os.path.join(str(cls.segments[0]), "rlog")))
cls.log_path = cls.segments[0]
cls.log_sizes = {}
for f in cls.log_path.iterdir():
assert f.is_file()
cls.log_sizes[f] = f.stat().st_size / 1e6
if f.name in ("qlog", "rlog"):
with open(f, 'rb') as ff:
cls.log_sizes[f] = len(zstd.compress(ff.read(), LOG_COMPRESSION_LEVEL)) / 1e6
cls.msgs = defaultdict(list)
for m in cls.lr:
cls.msgs[m.which()].append(m)
def test_service_frequencies(self, subtests):
for s, msgs in self.msgs.items():
if s in ('initData', 'sentinel'):
continue
# skip gps services for now
if s in ('ubloxGnss', 'ubloxRaw', 'gnssMeasurements', 'gpsLocation', 'gpsLocationExternal', 'qcomGnss'):
continue
with subtests.test(service=s):
assert len(msgs) >= math.floor(SERVICE_LIST[s].frequency*int(TEST_DURATION*0.8))
def test_manager_starting_time(self):
st = self.msgs['managerState'][0].logMonoTime / 1e9
assert (st - self.manager_st) < 10, f"manager.py took {st - self.manager_st}s to publish the first 'managerState' msg"
def test_cloudlog_size(self):
msgs = self.msgs['logMessage']
total_size = sum(len(m.as_builder().to_bytes()) for m in msgs)
assert 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.]
assert len(big_logs) == 0, f"Log spam: {big_logs}"
def test_log_sizes(self):
for f, sz in self.log_sizes.items():
rate = LOGS_SIZE_RATE[f.name]
minn = rate * TEST_DURATION * 0.8
maxx = rate * TEST_DURATION * 1.2
assert minn < sz < maxx
def test_ui_timings(self):
result = "\n"
result += "------------------------------------------------\n"
result += "-------------- UI Draw Timing ------------------\n"
result += "------------------------------------------------\n"
ts = [m.uiDebug.drawTimeMillis for m in self.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)
assert max(ts) < 250.
assert 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, subtests):
print("\n------------------------------------------------")
print("------------------ CPU Usage -------------------")
print("------------------------------------------------")
plogs_by_proc = defaultdict(list)
for pl in self.msgs['procLog']:
for x in pl.procLog.procs:
if len(x.cmdline) > 0:
n = list(x.cmdline)[0]
plogs_by_proc[n].append(x)
cpu_ok = True
dt = (self.msgs['procLog'][-1].logMonoTime - self.msgs['procLog'][0].logMonoTime) / 1e9
header = ['process', 'usage', 'expected', 'max allowed', 'test result']
rows = []
for proc_name, expected in PROCS.items():
error = ""
usage = 0.
x = plogs_by_proc[proc_name]
if len(x) > 2:
cpu_time = cputime_total(x[-1]) - cputime_total(x[0])
usage = cpu_time / dt * 100.
max_allowed = max(expected * 1.8, expected + 5.0)
if usage > max_allowed:
error = "❌ USING MORE CPU THAN EXPECTED ❌"
cpu_ok = False
else:
error = "❌ NO METRICS FOUND ❌"
cpu_ok = False
rows.append([proc_name, usage, expected, max_allowed, error or ""])
print(tabulate(rows, header, tablefmt="simple_grid", stralign="center", numalign="center", floatfmt=".2f"))
# Ensure there's no missing procs
all_procs = {p.name for p in self.msgs['managerState'][0].managerState.processes if p.shouldBeRunning}
for p in all_procs:
with subtests.test(proc=p):
assert any(p in pp for pp in PROCS.keys()), f"Expected CPU usage missing for {p}"
# total CPU check
procs_tot = sum([(max(x) if isinstance(x, tuple) else x) for x in PROCS.values()])
with subtests.test(name="total CPU"):
assert procs_tot < MAX_TOTAL_CPU, "Total CPU budget exceeded"
print("------------------------------------------------")
print(f"Total allocated CPU usage is {procs_tot}%, budget is {MAX_TOTAL_CPU}%, {MAX_TOTAL_CPU-procs_tot:.1f}% left")
print("------------------------------------------------")
assert cpu_ok
def test_memory_usage(self):
print("\n------------------------------------------------")
print("--------------- Memory Usage -------------------")
print("------------------------------------------------")
offset = int(SERVICE_LIST['deviceState'].frequency * LOG_OFFSET)
mems = [m.deviceState.memoryUsagePercent for m in self.msgs['deviceState'][offset:]]
print("Memory usage: ", mems)
# check for big leaks. note that memory usage is
# expected to go up while the MSGQ buffers fill up
assert np.average(mems) <= 65, "Average memory usage above 65%"
assert np.max(np.diff(mems)) <= 4, "Max memory increase too high"
assert np.average(np.diff(mems)) <= 1, "Average memory increase too high"
def test_gpu_usage(self):
assert self.gpu_procs == {"weston", "ui", "camerad", "selfdrive.modeld.modeld", "selfdrive.modeld.dmonitoringmodeld"}
def test_camera_processing_time(self):
result = "\n"
result += "------------------------------------------------\n"
result += "-------------- ImgProc Timing ------------------\n"
result += "------------------------------------------------\n"
ts = []
for s in ['roadCameraState', 'driverCameraState', 'wideCameraState']:
ts.extend(getattr(m, s).processingTime for m in self.msgs[s])
assert 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)
@pytest.mark.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)
assert 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 = [("longitudinalPlan", 0.05, 0.05),]
for (s, instant_max, avg_max) in cfgs:
ts = [getattr(m, s).solverExecutionTime for m in self.msgs[s]]
assert max(ts) < instant_max, f"high '{s}' execution time: {max(ts)}"
assert 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"
cfgs = [
("modelV2", 0.045, 0.035),
("driverStateV2", 0.045, 0.035),
]
for (s, instant_max, avg_max) in cfgs:
ts = [getattr(m, s).modelExecutionTime for m in self.msgs[s]]
# TODO some init can happen in first iteration
ts = ts[1:]
assert max(ts) < instant_max, f"high '{s}' execution time: {max(ts)}"
assert 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
print("\n------------------------------------------------")
print("----------------- Service Timings --------------")
print("------------------------------------------------")
header = ['service', 'max', 'min', 'mean', 'expected mean', 'rsd', 'max allowed rsd', 'test result']
rows = []
for s, (maxmin, rsd) in TIMINGS.items():
offset = int(SERVICE_LIST[s].frequency * LOG_OFFSET)
msgs = [m.logMonoTime for m in self.msgs[s][offset:]]
if not len(msgs):
raise Exception(f"missing {s}")
ts = np.diff(msgs) / 1e9
dt = 1 / SERVICE_LIST[s].frequency
errors = []
if not np.allclose(np.mean(ts), dt, rtol=0.03, atol=0):
errors.append("❌ FAILED MEAN TIMING CHECK ❌")
if not np.allclose([np.max(ts), np.min(ts)], dt, rtol=maxmin, atol=0):
errors.append("❌ FAILED MAX/MIN TIMING CHECK ❌")
if (np.std(ts)/dt) > rsd:
errors.append("❌ FAILED RSD TIMING CHECK ❌")
passed = not errors and passed
rows.append([s, *(np.array([np.max(ts), np.min(ts), np.mean(ts), dt])*1e3), np.std(ts)/dt, rsd, "\n".join(errors) or ""])
print(tabulate(rows, header, tablefmt="simple_grid", stralign="center", numalign="center", floatfmt=".2f"))
assert 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() == "selfdriveState":
startup_alert = msg.selfdriveState.alertText1
break
expected = EVENTS[log.OnroadEvent.EventName.startup][ET.PERMANENT].alert_text_1
assert startup_alert == expected, "wrong startup alert"
def test_engagable(self):
no_entries = Counter()
for m in self.msgs['onroadEvents']:
for evt in m.onroadEvents:
if evt.noEntry:
no_entries[evt.name] += 1
offset = int(SERVICE_LIST['selfdriveState'].frequency * LOG_OFFSET)
eng = [m.selfdriveState.engageable for m in self.msgs['selfdriveState'][offset:]]
assert all(eng), \
f"Not engageable for whole segment:\n- selfdriveState.engageable: {Counter(eng)}\n- No entry events: {no_entries}"