Merge branch 'MVP' into MVP
This commit is contained in:
Liu Zhicong
GitHub
@@ -6,97 +6,96 @@ from asyncio import Queue
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from .agent import AgentPrompt
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from .compute_node import ComputeNode
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from .compute_task import ComputeTask,ComputeTaskState,ComputeTaskResult
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from .compute_task import ComputeTask, ComputeTaskState, ComputeTaskResult
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logger = logging.getLogger(__name__)
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# How to dispatch different computing tasks (some tasks may contain a large amount of state for correct execution)
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# to suitable computing nodes, achieving a balance of speed, cost, and power consumption,
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# to suitable computing nodes, achieving a balance of speed, cost, and power consumption,
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# is the CORE GOAL of the entire computing task schedule system (aios_kernel).
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class ComputeKernel:
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_instance = None
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def __new__(cls):
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@classmethod
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def get_instance(cls):
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if cls._instance is None:
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cls._instance = super().__new__(cls)
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cls._instance.is_start = False
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cls._instance = ComputeKernel()
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return cls._instance
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def __init__(self) -> None:
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if self.is_start is True:
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return
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self.is_start = True
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self.is_start = False
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self.task_queue = Queue()
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self.is_start = False
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self.compute_nodes = {}
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self.start()
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def run(self,task:ComputeTask) -> None:
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def run(self, task: ComputeTask) -> None:
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# check there is compute node can support this task
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if self.is_task_support(task) is False:
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logger.error(f"task {task.display()} is not support by any compute node")
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logger.error(
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f"task {task.display()} is not support by any compute node")
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return
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# add task to working_queue
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self.task_queue.put_nowait(task)
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def start(self):
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if self.is_start is True:
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logger.warn("compute_kernel is already start")
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return
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self.is_start = True
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async def _run_task_loop():
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while True:
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logger.info("compute_kernel is waiting for task...")
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task = await self.task_queue.get()
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logger.info(f"compute_kernel get task: {task.display()}")
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c_node:ComputeNode = self._schedule(task)
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c_node: ComputeNode = self._schedule(task)
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await c_node.push_task(task)
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logger.warn("compute_kernel is stoped!")
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asyncio.create_task(_run_task_loop())
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def _schedule(self,task) -> ComputeNode:
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logger.warn("compute_kernel is stoped!")
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asyncio.create_task(_run_task_loop())
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def _schedule(self, task) -> ComputeNode:
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for node in self.compute_nodes.values():
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if node.is_support(task) is True:
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return node
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logger.warning(f"task {task.display()} is not support by any compute node")
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logger.warning(
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f"task {task.display()} is not support by any compute node")
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return None
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def add_compute_node(self,node:ComputeNode):
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def add_compute_node(self, node: ComputeNode):
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if self.compute_nodes.get(node.node_id) is not None:
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logger.warn(f"compute_node {node.display()} already in compute_kernel")
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logger.warn(
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f"compute_node {node.display()} already in compute_kernel")
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return
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self.compute_nodes[node.node_id] = node
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logger.info(f"add compute_node {node.display()} to compute_kernel")
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def disable_compute_node(self,node_id:str):
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def disable_compute_node(self, node_id: str):
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node = self.compute_nodes.get(node_id)
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if node is None:
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logger.warn(f"compute_node {node_id} not in compute_kernel")
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return
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node.enable = False
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def is_task_support(self,task:ComputeTask) -> bool:
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def is_task_support(self, task: ComputeTask) -> bool:
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return True
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# friendly interface for use:
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def llm_completion(self,prompt:AgentPrompt,mode_name:Optional[str] = None,max_token:int = 0):
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def llm_completion(self, prompt: AgentPrompt, mode_name: Optional[str] = None, max_token: int = 0,inner_functions = None):
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# craete a llm_work_task ,push on queue's end
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# then task_schedule would run this task.(might schedule some work_task to another host)
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task_req = ComputeTask()
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task_req.set_llm_params(prompt,mode_name,max_token)
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task_req.set_llm_params(prompt, mode_name, max_token,inner_functions)
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self.run(task_req)
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return task_req
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async def do_llm_completion(self,prompt:AgentPrompt,mode_name:Optional[str] = None,max_token:int = 0) -> str:
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task_req = self.llm_completion(prompt,mode_name,max_token)
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async def do_llm_completion(self, prompt: AgentPrompt, mode_name: Optional[str] = None, max_token: int = 0, inner_functions = None) -> str:
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task_req = self.llm_completion(prompt, mode_name, max_token,inner_functions)
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async def check_timer():
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check_times = 0
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while True:
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@@ -106,19 +105,19 @@ class ComputeKernel:
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if task_req.state == ComputeTaskState.ERROR:
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break
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if check_times >= 20:
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if check_times >= 20:
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task_req.state = ComputeTaskState.ERROR
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break
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await asyncio.sleep(0.5)
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check_times += 1
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await asyncio.create_task(check_timer())
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if task_req.state == ComputeTaskState.DONE:
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return task_req.result.result_str
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return task_req.result
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return "error!"
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def text_embedding(self,input:str,model_name:Optional[str] = None):
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task_req = ComputeTask()
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task_req.set_text_embedding_params(input,model_name)
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@@ -148,4 +147,5 @@ class ComputeKernel:
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return task_req.result.result
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return "error!"
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