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Use asyncio lock when checking camera status
get_camera_status() can be called during normal autotracking movement and from routine camera_maintenance(). Some cameras cause one of the status calls to hang, which then subsequently hangs autotracking. A lock serializes access and prevents the hang.
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@ -48,6 +48,8 @@ class OnvifController:
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self.config = config
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self.ptz_metrics = ptz_metrics
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self.status_locks: dict[str, asyncio.Lock] = {}
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# Create a dedicated event loop and run it in a separate thread
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self.loop = asyncio.new_event_loop()
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self.loop_thread = threading.Thread(target=self._run_event_loop, daemon=True)
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@ -59,6 +61,7 @@ class OnvifController:
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continue
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if cam.onvif.host:
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self.camera_configs[cam_name] = cam
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self.status_locks[cam_name] = asyncio.Lock()
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asyncio.run_coroutine_threadsafe(self._init_cameras(), self.loop)
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@ -764,6 +767,7 @@ class OnvifController:
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return False
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async def get_camera_status(self, camera_name: str) -> None:
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async with self.status_locks[camera_name]:
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if camera_name not in self.cams.keys():
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logger.error(f"ONVIF is not configured for {camera_name}")
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return
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@ -802,7 +806,9 @@ class OnvifController:
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f"{camera_name}: Pan/tilt status: {pan_tilt_status}, Zoom status: {zoom_status}"
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)
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if pan_tilt_status == "IDLE" and (zoom_status is None or zoom_status == "IDLE"):
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if pan_tilt_status == "IDLE" and (
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zoom_status is None or zoom_status == "IDLE"
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):
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self.cams[camera_name]["active"] = False
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if not self.ptz_metrics[camera_name].motor_stopped.is_set():
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self.ptz_metrics[camera_name].motor_stopped.set()
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@ -861,7 +867,9 @@ class OnvifController:
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self.ptz_metrics[camera_name].stop_time.value = self.ptz_metrics[
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camera_name
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].frame_time.value
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logger.warning(f"Camera {camera_name} is still in ONVIF 'MOVING' status.")
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logger.warning(
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f"Camera {camera_name} is still in ONVIF 'MOVING' status."
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)
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def close(self) -> None:
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"""Gracefully shut down the ONVIF controller."""
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