Integration of sentence-transformer local text embedding

src/aios_kernel/local_st_compute_node.py

@@ -17,17 +17,26 @@ class LocalSentenceTransformer_ComputeNode(Queue_ComputeNode):
     def __init__(self, model_name: str = "all-MiniLM-L6-v2"):
         super().__init__()
 
-        logger.info(
-            f"LocalSentenceTransformer_ComputeNode init, model_name: {model_name}"
-        )
+        self.node_id = "local_sentence_transformer_node"
         self.model_name = model_name
+        self.model = None
 
+    def initial(self) -> bool:
+        logger.info(
+            f"LocalSentenceTransformer_ComputeNode init, model_name: {self.model_name}"
+        )
+        
+        assert self.model_name is not None
+        assert self.model is None
         try:
             from sentence_transformers import SentenceTransformer
 
             self.model = SentenceTransformer(self.model)
         except Exception as err:
             logger.error(f"load model {self.model} failed: {err}")
+            return False
+        
+        return True
     
     async def execute_task(
         self, task: ComputeTask

src/service/aios_shell/aios_shell.py

@@ -137,6 +137,7 @@ class AIOS_Shell:
             return False
         ComputeKernel.get_instance().add_compute_node(open_ai_node)
 
+
         if await AIStorage.get_instance().is_feature_enable("llama"):
             llama_ai_node = LocalLlama_ComputeNode()
             if await llama_ai_node.initial() is True:
@@ -168,6 +169,14 @@ class AIOS_Shell:
             await AIStorage.get_instance.set_feature_init_result("aigc",False)
 
 
+    
+        local_st_compute_node = LocalSentenceTransformer_ComputeNode()
+        if local_st_compute_node.initial() is not True:
+            logger.error("local sentence transformer node initial failed!")
+        else:
+        	ComputeKernel.get_instance().add_compute_node(local_st_compute_node)
+
+
         await ComputeKernel.get_instance().start()
 
         AIBus().get_default_bus().register_unhandle_message_handler(self._handle_no_target_msg)