The argument for is_support should be task_type

src/aios_kernel/compute_kernel.py

@@ -13,8 +13,11 @@ logger = logging.getLogger(__name__)
 # How to dispatch different computing tasks (some tasks may contain a large amount of state for correct execution)
 # to suitable computing nodes, achieving a balance of speed, cost, and power consumption,
 # is the CORE GOAL of the entire computing task schedule system (aios_kernel).
+
+
 class ComputeKernel:
     _instance = None
+
     def __new__(cls):
         if cls._instance is None:
             cls._instance = super().__new__(cls)
@@ -36,18 +39,19 @@ class ComputeKernel:
     def run(self, task: ComputeTask) -> None:
         # check there is compute node can support this task
         if self.is_task_support(task) is False:
-            logger.error(f"task {task.display()} is not support by any compute node")
+            logger.error(
+                f"task {task.display()} is not support by any compute node")
             return
         # add task to working_queue
         self.task_queue.put_nowait(task)
 
-
     def start(self):
         if self.is_start is True:
             logger.warn("compute_kernel is already start")
             return
 
         self.is_start = True
+
         async def _run_task_loop():
             while True:
                 logger.info("compute_kernel is waiting for task...")
@@ -60,17 +64,18 @@ class ComputeKernel:
 
         asyncio.create_task(_run_task_loop())
 
-
     def _schedule(self, task) -> ComputeNode:
         for node in self.compute_nodes.values():
-            if node.is_support(task) is True:
+            if node.is_support(task.task_type) is True:
                 return node
-        logger.warning(f"task {task.display()} is not support by any compute node")
+        logger.warning(
+            f"task {task.display()} is not support by any compute node")
         return None
 
     def add_compute_node(self, node: ComputeNode):
         if self.compute_nodes.get(node.node_id) is not None:
-            logger.warn(f"compute_node {node.display()} already in compute_kernel")
+            logger.warn(
+                f"compute_node {node.display()} already in compute_kernel")
             return
         self.compute_nodes[node.node_id] = node
         logger.info(f"add compute_node {node.display()} to compute_kernel")
@@ -85,7 +90,6 @@ class ComputeKernel:
     def is_task_support(self, task: ComputeTask) -> bool:
         return True
 
-
     # friendly interface for use:
     def llm_completion(self, prompt: AgentPrompt, mode_name: Optional[str] = None, max_token: int = 0):
         # craete a llm_work_task ,push on queue's end
@@ -97,6 +101,7 @@ class ComputeKernel:
 
     async def do_llm_completion(self, prompt: AgentPrompt, mode_name: Optional[str] = None, max_token: int = 0) -> str:
         task_req = self.llm_completion(prompt, mode_name, max_token)
+
         async def check_timer():
             check_times = 0
             while True:
@@ -118,4 +123,3 @@ class ComputeKernel:
             return task_req.result.result_str
 
         return "error!"
-