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system/sensord/tests/__init__.py
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system/sensord/tests/__init__.py
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251
system/sensord/tests/test_sensord.py
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system/sensord/tests/test_sensord.py
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#!/usr/bin/env python3
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import os
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import pytest
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import time
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import unittest
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import numpy as np
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from collections import namedtuple, defaultdict
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import cereal.messaging as messaging
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from cereal import log
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from cereal.services import SERVICE_LIST
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from openpilot.common.gpio import get_irqs_for_action
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from openpilot.common.timeout import Timeout
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from openpilot.selfdrive.manager.process_config import managed_processes
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BMX = {
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('bmx055', 'acceleration'),
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('bmx055', 'gyroUncalibrated'),
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('bmx055', 'magneticUncalibrated'),
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('bmx055', 'temperature'),
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}
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LSM = {
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('lsm6ds3', 'acceleration'),
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('lsm6ds3', 'gyroUncalibrated'),
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('lsm6ds3', 'temperature'),
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}
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LSM_C = {(x[0]+'trc', x[1]) for x in LSM}
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MMC = {
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('mmc5603nj', 'magneticUncalibrated'),
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}
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SENSOR_CONFIGURATIONS = (
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(BMX | LSM),
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(MMC | LSM),
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(BMX | LSM_C),
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(MMC| LSM_C),
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)
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Sensor = log.SensorEventData.SensorSource
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SensorConfig = namedtuple('SensorConfig', ['type', 'sanity_min', 'sanity_max'])
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ALL_SENSORS = {
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Sensor.lsm6ds3: {
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SensorConfig("acceleration", 5, 15),
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SensorConfig("gyroUncalibrated", 0, .2),
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SensorConfig("temperature", 0, 60),
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},
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Sensor.lsm6ds3trc: {
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SensorConfig("acceleration", 5, 15),
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SensorConfig("gyroUncalibrated", 0, .2),
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SensorConfig("temperature", 0, 60),
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},
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Sensor.bmx055: {
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SensorConfig("acceleration", 5, 15),
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SensorConfig("gyroUncalibrated", 0, .2),
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SensorConfig("magneticUncalibrated", 0, 300),
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SensorConfig("temperature", 0, 60),
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},
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Sensor.mmc5603nj: {
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SensorConfig("magneticUncalibrated", 0, 300),
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}
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}
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def get_irq_count(irq: int):
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with open(f"/sys/kernel/irq/{irq}/per_cpu_count") as f:
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per_cpu = map(int, f.read().split(","))
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return sum(per_cpu)
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def read_sensor_events(duration_sec):
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sensor_types = ['accelerometer', 'gyroscope', 'magnetometer', 'accelerometer2',
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'gyroscope2', 'temperatureSensor', 'temperatureSensor2']
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socks = {}
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poller = messaging.Poller()
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events = defaultdict(list)
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for stype in sensor_types:
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socks[stype] = messaging.sub_sock(stype, poller=poller, timeout=100)
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# wait for sensors to come up
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with Timeout(int(os.environ.get("SENSOR_WAIT", "5")), "sensors didn't come up"):
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while len(poller.poll(250)) == 0:
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pass
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time.sleep(1)
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for s in socks.values():
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messaging.drain_sock_raw(s)
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st = time.monotonic()
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while time.monotonic() - st < duration_sec:
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for s in socks:
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events[s] += messaging.drain_sock(socks[s])
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time.sleep(0.1)
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assert sum(map(len, events.values())) != 0, "No sensor events collected!"
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return {k: v for k, v in events.items() if len(v) > 0}
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@pytest.mark.tici
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class TestSensord(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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# enable LSM self test
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os.environ["LSM_SELF_TEST"] = "1"
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# read initial sensor values every test case can use
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os.system("pkill -f \\\\./sensord")
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try:
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managed_processes["sensord"].start()
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cls.sample_secs = int(os.getenv("SAMPLE_SECS", "10"))
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cls.events = read_sensor_events(cls.sample_secs)
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# determine sensord's irq
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cls.sensord_irq = get_irqs_for_action("sensord")[0]
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finally:
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# teardown won't run if this doesn't succeed
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managed_processes["sensord"].stop()
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@classmethod
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def tearDownClass(cls):
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managed_processes["sensord"].stop()
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def tearDown(self):
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managed_processes["sensord"].stop()
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def test_sensors_present(self):
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# verify correct sensors configuration
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seen = set()
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for etype in self.events:
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for measurement in self.events[etype]:
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m = getattr(measurement, measurement.which())
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seen.add((str(m.source), m.which()))
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self.assertIn(seen, SENSOR_CONFIGURATIONS)
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def test_lsm6ds3_timing(self):
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# verify measurements are sampled and published at 104Hz
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sensor_t = {
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1: [], # accel
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5: [], # gyro
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}
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for measurement in self.events['accelerometer']:
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m = getattr(measurement, measurement.which())
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sensor_t[m.sensor].append(m.timestamp)
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for measurement in self.events['gyroscope']:
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m = getattr(measurement, measurement.which())
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sensor_t[m.sensor].append(m.timestamp)
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for s, vals in sensor_t.items():
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with self.subTest(sensor=s):
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assert len(vals) > 0
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tdiffs = np.diff(vals) / 1e6 # millis
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high_delay_diffs = list(filter(lambda d: d >= 20., tdiffs))
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assert len(high_delay_diffs) < 15, f"Too many large diffs: {high_delay_diffs}"
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avg_diff = sum(tdiffs)/len(tdiffs)
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avg_freq = 1. / (avg_diff * 1e-3)
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assert 92. < avg_freq < 114., f"avg freq {avg_freq}Hz wrong, expected 104Hz"
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stddev = np.std(tdiffs)
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assert stddev < 2.0, f"Standard-dev to big {stddev}"
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def test_sensor_frequency(self):
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for s, msgs in self.events.items():
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with self.subTest(sensor=s):
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freq = len(msgs) / self.sample_secs
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ef = SERVICE_LIST[s].frequency
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assert ef*0.85 <= freq <= ef*1.15
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def test_logmonottime_timestamp_diff(self):
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# ensure diff between the message logMonotime and sample timestamp is small
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tdiffs = list()
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for etype in self.events:
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for measurement in self.events[etype]:
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m = getattr(measurement, measurement.which())
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# check if gyro and accel timestamps are before logMonoTime
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if str(m.source).startswith("lsm6ds3") and m.which() != 'temperature':
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err_msg = f"Timestamp after logMonoTime: {m.timestamp} > {measurement.logMonoTime}"
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assert m.timestamp < measurement.logMonoTime, err_msg
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# negative values might occur, as non interrupt packages created
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# before the sensor is read
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tdiffs.append(abs(measurement.logMonoTime - m.timestamp) / 1e6)
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# some sensors have a read procedure that will introduce an expected diff on the order of 20ms
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high_delay_diffs = set(filter(lambda d: d >= 25., tdiffs))
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assert len(high_delay_diffs) < 20, f"Too many measurements published: {high_delay_diffs}"
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avg_diff = round(sum(tdiffs)/len(tdiffs), 4)
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assert avg_diff < 4, f"Avg packet diff: {avg_diff:.1f}ms"
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def test_sensor_values(self):
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sensor_values = dict()
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for etype in self.events:
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for measurement in self.events[etype]:
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m = getattr(measurement, measurement.which())
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key = (m.source.raw, m.which())
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values = getattr(m, m.which())
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if hasattr(values, 'v'):
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values = values.v
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values = np.atleast_1d(values)
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if key in sensor_values:
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sensor_values[key].append(values)
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else:
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sensor_values[key] = [values]
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# Sanity check sensor values
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for sensor, stype in sensor_values:
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for s in ALL_SENSORS[sensor]:
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if s.type != stype:
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continue
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key = (sensor, s.type)
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mean_norm = np.mean(np.linalg.norm(sensor_values[key], axis=1))
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err_msg = f"Sensor '{sensor} {s.type}' failed sanity checks {mean_norm} is not between {s.sanity_min} and {s.sanity_max}"
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assert s.sanity_min <= mean_norm <= s.sanity_max, err_msg
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def test_sensor_verify_no_interrupts_after_stop(self):
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managed_processes["sensord"].start()
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time.sleep(3)
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# read /proc/interrupts to verify interrupts are received
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state_one = get_irq_count(self.sensord_irq)
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time.sleep(1)
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state_two = get_irq_count(self.sensord_irq)
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error_msg = f"no interrupts received after sensord start!\n{state_one} {state_two}"
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assert state_one != state_two, error_msg
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managed_processes["sensord"].stop()
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time.sleep(1)
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# read /proc/interrupts to verify no more interrupts are received
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state_one = get_irq_count(self.sensord_irq)
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time.sleep(1)
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state_two = get_irq_count(self.sensord_irq)
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assert state_one == state_two, "Interrupts received after sensord stop!"
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if __name__ == "__main__":
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unittest.main()
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48
system/sensord/tests/ttff_test.py
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48
system/sensord/tests/ttff_test.py
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#!/usr/bin/env python3
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import time
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import atexit
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from cereal import messaging
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from openpilot.selfdrive.manager.process_config import managed_processes
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TIMEOUT = 10*60
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def kill():
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for proc in ['ubloxd', 'pigeond']:
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managed_processes[proc].stop(retry=True, block=True)
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if __name__ == "__main__":
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# start ubloxd
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managed_processes['ubloxd'].start()
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atexit.register(kill)
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sm = messaging.SubMaster(['ubloxGnss'])
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times = []
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for i in range(20):
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# start pigeond
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st = time.monotonic()
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managed_processes['pigeond'].start()
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# wait for a >4 satellite fix
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while True:
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sm.update(0)
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msg = sm['ubloxGnss']
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if msg.which() == 'measurementReport' and sm.updated["ubloxGnss"]:
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report = msg.measurementReport
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if report.numMeas > 4:
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times.append(time.monotonic() - st)
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print(f"\033[94m{i}: Got a fix in {round(times[-1], 2)} seconds\033[0m")
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break
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if time.monotonic() - st > TIMEOUT:
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raise TimeoutError("\033[91mFailed to get a fix in {TIMEOUT} seconds!\033[0m")
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time.sleep(0.1)
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# stop pigeond
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managed_processes['pigeond'].stop(retry=True, block=True)
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time.sleep(20)
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print(f"\033[92mAverage TTFF: {round(sum(times) / len(times), 2)}s\033[0m")
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