fix bug

rootfs/agents/Mia/agent.toml

@@ -1,10 +1,10 @@
 instance_id = "Mia"
 fullname = "Mia"
-llm_model_name = "gpt-4"
-max_token_size = 16000
+#llm_model_name = "gpt-4"
+#max_token_size = 16000
 #enable_function =["add_event"]
 #enable_kb = "true"
-enable_timestamp = "false"
+#enable_timestamp = "false"
 owner_prompt = "我是你的主人{name}"
 contact_prompt = "我是你的朋友{name}"
 owner_env = "knowledge"

src/aios_kernel/knowledge_base.py

@@ -243,17 +243,21 @@ class KnowledgeBase:
     
     def parse_object_in_message(self, message: str) -> KnowledgeObject:
         # get message's first line 
+        logging.info(f"tg parse resp message: {message}")
         lines = message.split("\n")
         if len(lines) > 0:
             message = lines[0]
             try:
                 desc = json.loads(message)
-                object_id = desc["object_id"]
-            except:
+                if isinstance(desc, dict):
+                    object_id = desc["id"]
+                else:
+                    object_id = desc[0]["id"]
+            except Exception as e:
                 return None
             
             if object_id is not None:
-                return self.__load_object(ObjectID(object_id))
+                return self.__load_object(ObjectID.from_base58(object_id))
             
             
     def bytes_from_object(self, object: KnowledgeObject) -> bytes:
@@ -281,7 +285,8 @@ class KnowledgeEnvironment(Environment):
                                             self._query, 
                                             query_param))
         
-    async def _query(self, tokens: str, types: list[str] = ["text"], index: int=0):
+    async def _query(self, tokens: str, types: list[str] = ["text"], index: str=0):
+        index = int(index)
         object_ids = await KnowledgeBase().query_objects(tokens, types, 4)
         if len(object_ids) <= index:
             return "*** I have no more information for your reference.\n"

src/aios_kernel/tg_tunnel.py

@@ -55,6 +55,7 @@ class TelegramTunnel(AgentTunnel):
         self.bot:Bot = None
         self.update_queue = None
         self.allow_group = "contact"
+        self.in_process_tg_msg = {}
 
     async def _do_process_raw_message(self,bot: Bot, update_id: int) -> int:
         # Request updates after the last update_id
@@ -131,6 +132,13 @@ class TelegramTunnel(AgentTunnel):
             logger.warning(f"ignore message from telegram bot {update.effective_user.id}")
             return None
         
+        if self.in_process_tg_msg.get(update.message.message_id) is not None:
+            logger.warning(f"ignore message from telegram bot {update.effective_user.id}")
+            return None
+        
+        self.in_process_tg_msg[update.message.message_id] = True
+
+
         cm : ContactManager = ContactManager.get_instance()
         reomte_user_name = f"{update.effective_user.id}@telegram"
         #owner_tg_username = AIStorage.get_instance().get_user_config().get_value("telegram")

src/service/aios_shell/aios_shell.py

@@ -252,15 +252,25 @@ class AIOS_Shell:
     async def append_tunnel_config(self,tunnel_config):
         user_data_dir = AIStorage.get_instance().get_myai_dir()
         tunnels_config_path = os.path.abspath(f"{user_data_dir}/etc/tunnels.cfg.toml")
+        all_tunnels = None 
         try:
             all_tunnels = toml.load(tunnels_config_path)
-            if all_tunnels is not None:
+        except Exception as e:
+            logger.warning(f"load tunnels config for append from {tunnels_config_path} failed! {e}")
+
+        if all_tunnels is None:
+            all_tunnels = {}
+
         all_tunnels[tunnel_config["tunnel_id"]] = tunnel_config
+        try:
             f = open(tunnels_config_path,"w")
             if f:
                 toml.dump(all_tunnels,f)
+                logger.info(f"append tunnel config to {tunnels_config_path} success!")
+            else:
+                logger.warning(f"append tunnel config to {tunnels_config_path} failed!")
         except Exception as e:
-            logger.warning(f"load tunnels config from {tunnels_config_path} failed! {e}")
+            logger.warning(f"append tunnels config  from {tunnels_config_path} failed! {e}")
 
     async def handle_contact_commands(self,args):
         cm = ContactManager.get_instance()