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add flaky package

This commit is contained in:
Adeeb Shihadeh 2024-01-25 17:31:51 -08:00
parent 076810d5bd
commit fe4abaa6f6
3 changed files with 41 additions and 37 deletions
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45
poetry.lock generated
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@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "aiohttp"
@ -1098,6 +1098,17 @@ calc = ["shapely"]
s3 = ["boto3 (>=1.3.1)"]
test = ["Fiona[s3]", "pytest (>=7)", "pytest-cov", "pytz"]
[[package]]
name = "flaky"
version = "3.7.0"
description = "Plugin for nose or pytest that automatically reruns flaky tests."
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "flaky-3.7.0-py2.py3-none-any.whl", hash = "sha256:d6eda73cab5ae7364504b7c44670f70abed9e75f77dd116352f662817592ec9c"},
{file = "flaky-3.7.0.tar.gz", hash = "sha256:3ad100780721a1911f57a165809b7ea265a7863305acb66708220820caf8aa0d"},
]
[[package]]
name = "flatbuffers"
version = "23.5.26"
@ -2653,14 +2664,7 @@ files = [
]
[package.dependencies]
numpy = [
{version = ">=1.21.2", markers = "python_version >= \"3.10\""},
{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
{version = ">=1.23.5", markers = "python_version >= \"3.11\""},
{version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""},
{version = ">=1.17.0", markers = "python_version >= \"3.7\""},
{version = ">=1.17.3", markers = "python_version >= \"3.8\""},
]
numpy = {version = ">=1.23.5", markers = "python_version >= \"3.11\""}
[[package]]
name = "opencv-python-headless"
@ -2679,14 +2683,7 @@ files = [
]
[package.dependencies]
numpy = [
{version = ">=1.21.2", markers = "python_version >= \"3.10\""},
{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
{version = ">=1.23.5", markers = "python_version >= \"3.11\""},
{version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""},
{version = ">=1.17.0", markers = "python_version >= \"3.7\""},
{version = ">=1.17.3", markers = "python_version >= \"3.8\""},
]
numpy = {version = ">=1.23.5", markers = "python_version >= \"3.11\""}
[[package]]
name = "packaging"
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@ -6713,8 +6713,15 @@ files = [
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@ -7787,4 +7796,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[metadata]
lock-version = "2.0"
python-versions = "~3.11"
content-hash = "4f771435666b64f677d7dd2b4c9b4ec4bbe6fcbb004d13f19e0e79ae138c92b9"
content-hash = "31a962516d63b49e14cc615807e067ec833f76d5aa1157a4dcc9408f23c28ad1"

2
pyproject.toml
View File

@ -111,7 +111,6 @@ markdown-it-py = "*"
timezonefinder = "*"
setproctitle = "*"
[tool.poetry.group.dev.dependencies]
av = "*"
azure-identity = "*"
@ -121,6 +120,7 @@ control = "*"
coverage = "*"
dictdiffer = "*"
ft4222 = "*"
flaky = "*"
hypothesis = "~6.47"
inputs = "*"
Jinja2 = "*"

31
system/camerad/test/test_camerad.py
View File

@ -22,44 +22,39 @@ CAMERAS = ('roadCameraState', 'driverCameraState', 'wideRoadCameraState')
@flaky(max_runs=3)
@pytest.mark.tici
class TestCamerad:
@classmethod
def setup_class(cls):
def setup_method(self):
# run camerad and record logs
managed_processes['camerad'].start()
time.sleep(3)
socks = {c: messaging.sub_sock(c, conflate=False, timeout=100) for c in CAMERAS}
cls.logs = defaultdict(list)
self.logs = defaultdict(list)
start_time = time.monotonic()
while time.monotonic()- start_time < TEST_TIMESPAN:
for cam, s in socks.items():
cls.logs[cam] += messaging.drain_sock(s)
self.logs[cam] += messaging.drain_sock(s)
time.sleep(0.2)
managed_processes['camerad'].stop()
cls.log_by_frame_id = defaultdict(list)
cls.sensor_type = None
for cam, msgs in cls.logs.items():
if cls.sensor_type is None:
cls.sensor_type = getattr(msgs[0], msgs[0].which()).sensor.raw
self.log_by_frame_id = defaultdict(list)
self.sensor_type = None
for cam, msgs in self.logs.items():
if self.sensor_type is None:
self.sensor_type = getattr(msgs[0], msgs[0].which()).sensor.raw
expected_frames = SERVICE_LIST[cam].frequency * TEST_TIMESPAN
assert expected_frames*0.95 < len(msgs) < expected_frames*1.05, f"unexpected frame count {cam}: {expected_frames=}, got {len(msgs)}"
dts = np.abs(np.diff([getattr(m, m.which()).timestampSof/1e6 for m in msgs]) - 1000/SERVICE_LIST[cam].frequency)
assert (dts < FRAME_DELTA_TOLERANCE[cls.sensor_type]).all(), f"{cam} dts(ms) out of spec: max diff {dts.max()}, 99 percentile {np.percentile(dts, 99)}"
assert (dts < FRAME_DELTA_TOLERANCE[self.sensor_type]).all(), f"{cam} dts(ms) out of spec: max diff {dts.max()}, 99 percentile {np.percentile(dts, 99)}"
for m in msgs:
cls.log_by_frame_id[getattr(m, m.which()).frameId].append(m)
self.log_by_frame_id[getattr(m, m.which()).frameId].append(m)
# strip beginning and end
for _ in range(3):
mn, mx = min(cls.log_by_frame_id.keys()), max(cls.log_by_frame_id.keys())
del cls.log_by_frame_id[mn]
del cls.log_by_frame_id[mx]
@classmethod
def tearDownClass(cls):
managed_processes['camerad'].stop()
mn, mx = min(self.log_by_frame_id.keys()), max(self.log_by_frame_id.keys())
del self.log_by_frame_id[mn]
del self.log_by_frame_id[mx]
def test_frame_skips(self):
skips = {}