IQ.Pilot Prebuilt Release @ ab07000

system/camerad/test/test_camerad.py

@@ -0,0 +1,101 @@
+import os
+import time
+import pytest
+import numpy as np
+
+import cereal.messaging as messaging
+from cereal.services import SERVICE_LIST
+from openpilot.system.manager.process_config import managed_processes
+from openpilot.tools.lib.log_time_series import msgs_to_time_series
+
+TEST_TIMESPAN = 10
+CAMERAS = ('roadCameraState', 'driverCameraState', 'wideRoadCameraState')
+
+
+def run_and_log(procs, services, duration):
+  logs = []
+
+  try:
+    for p in procs:
+      managed_processes[p].start()
+    socks = [messaging.sub_sock(s, conflate=False, timeout=100) for s in services]
+
+    start_time = time.monotonic()
+    while time.monotonic() - start_time < duration:
+      for s in socks:
+        logs.extend(messaging.drain_sock(s))
+    for p in procs:
+      assert managed_processes[p].proc.is_alive()
+  finally:
+    for p in procs:
+      managed_processes[p].stop()
+
+  return logs
+
+@pytest.fixture(scope="module")
+def logs():
+  logs = run_and_log(["camerad", ], CAMERAS, TEST_TIMESPAN)
+  ts = msgs_to_time_series(logs)
+
+  for cam in CAMERAS:
+    expected_frames = SERVICE_LIST[cam].frequency * TEST_TIMESPAN
+    cnt = len(ts[cam]['t'])
+    assert expected_frames*0.8 < cnt < expected_frames*1.2, f"unexpected frame count {cam}: {expected_frames=}, got {cnt}"
+
+    dts = np.abs(np.diff([ts[cam]['timestampSof']/1e6]) - 1000/SERVICE_LIST[cam].frequency)
+    assert (dts < 1.0).all(), f"{cam} dts(ms) out of spec: max diff {dts.max()}, 99 percentile {np.percentile(dts, 99)}"
+  return ts
+
+@pytest.mark.tici
+class TestCamerad:
+  def test_frame_skips(self, logs):
+    for c in CAMERAS:
+      assert set(np.diff(logs[c]['frameId'])) == {1, }, f"{c} has frame skips"
+
+  def test_frame_sync(self, logs):
+    n = range(len(logs['roadCameraState']['t'][:-10]))
+
+    frame_ids = {i: [logs[cam]['frameId'][i] for cam in CAMERAS] for i in n}
+    assert all(len(set(v)) == 1 for v in frame_ids.values()), "frame IDs not aligned"
+
+    frame_times = {i: [logs[cam]['timestampSof'][i] for cam in CAMERAS] for i in n}
+    diffs = {i: (max(ts) - min(ts))/1e6 for i, ts in frame_times.items()}
+
+    laggy_frames = {k: v for k, v in diffs.items() if v > 1.1}
+    assert len(laggy_frames) == 0, f"Frames not synced properly: {laggy_frames=}"
+
+  def test_sanity_checks(self, logs):
+    self._sanity_checks(logs)
+
+  def _sanity_checks(self, ts):
+    for c in CAMERAS:
+      assert c in ts
+      assert len(ts[c]['t']) > 20
+
+      # not a valid request id
+      assert 0 not in ts[c]['requestId']
+
+      # should monotonically increase
+      assert np.all(np.diff(ts[c]['frameId']) >= 1)
+      assert np.all(np.diff(ts[c]['requestId']) >= 1)
+
+      # EOF > SOF
+      assert np.all((ts[c]['timestampEof'] - ts[c]['timestampSof']) > 0)
+
+      # logMonoTime > SOF
+      assert np.all((ts[c]['t'] - ts[c]['timestampSof']/1e9) > 1e-7)
+
+      # logMonoTime > EOF, needs some tolerance since EOF is (SOF + readout time) but there is noise in the SOF timestamping (done via IRQ)
+      assert np.mean((ts[c]['t'] - ts[c]['timestampEof']/1e9) > 1e-7) > 0.7  # should be mostly logMonoTime > EOF
+      assert np.all((ts[c]['t'] - ts[c]['timestampEof']/1e9) > -0.10)        # when EOF > logMonoTime, it should never be more than two frames
+
+  def test_stress_test(self):
+    os.environ['SPECTRA_ERROR_PROB'] = '0.008'
+    logs = run_and_log(["camerad", ], CAMERAS, 10)
+    ts = msgs_to_time_series(logs)
+
+    # we should see some jumps from introduced errors
+    assert np.max([ np.max(np.diff(ts[c]['frameId'])) for c in CAMERAS ]) > 1
+    assert np.max([ np.max(np.diff(ts[c]['requestId'])) for c in CAMERAS ]) > 1
+
+    self._sanity_checks(ts)