fix race condition issue

put AIAvailabilityEnum.ENABLED to the end of model conversion

Azaion.Inference/inference.pxd

@@ -14,12 +14,13 @@ cdef class Inference:
     cdef dict[str, list(Detection)] _tile_detections
     cdef AIRecognitionConfig ai_config
     cdef bint stop_signal
-    cdef AIAvailabilityStatus ai_availability_status
+    cdef public AIAvailabilityStatus ai_availability_status
 
     cdef str model_input
     cdef int model_width
     cdef int model_height
 
+    cdef bytes _converted_model_bytes
     cdef bytes get_onnx_engine_bytes(self)
     cdef convert_and_upload_model(self, bytes onnx_engine_bytes, str engine_filename)
     cdef init_ai(self)

Azaion.Inference/inference.pyx

@@ -87,6 +87,7 @@ cdef class Inference:
                 self.ai_availability_status.set_status(AIAvailabilityEnum.WARNING, <str>f"Failed to upload converted model: {res.err}")
 
             self._converted_model_bytes = model_bytes
+            self.ai_availability_status.set_status(AIAvailabilityEnum.ENABLED)
         except Exception as e:
             self.ai_availability_status.set_status(AIAvailabilityEnum.ERROR, <str> str(e))
             self._converted_model_bytes = None

Azaion.Inference/main_inference.pyx

@@ -21,10 +21,11 @@ cdef class CommandProcessor:
     def __init__(self, int zmq_port, str loader_zmq_host, int loader_zmq_port, str api_url):
         self.remote_handler = RemoteCommandHandler(zmq_port, self.on_command)
         self.inference_queue = Queue(maxsize=constants_inf.QUEUE_MAXSIZE)
-        self.remote_handler.start()
-        self.running = True
         self.loader_client = LoaderClient(loader_zmq_host, loader_zmq_port)
         self.inference = Inference(self.loader_client, self.remote_handler)
+        self.running = True
+        self.remote_handler.start()
+
 
     def start(self):
         while self.running: