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opendan/src/aios_kernel/compute_kernel.py
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from abc import ABC, abstractmethod
from typing import Optional
import logging
import asyncio
from asyncio import Queue
from .agent import AgentPrompt
from .compute_node import ComputeNode
from .compute_task import ComputeTask,ComputeTaskState,ComputeTaskResult
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)
# 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)
cls._instance.is_start = False
else:
print("ComputeKernel is already created!")
return cls._instance
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def __init__(self) -> None:
if self.is_start is True:
print("ComputeKernel is already start!")
return
print("init ComputeKernel!!!")
self.is_start = True
self.task_queue = Queue()
self.is_start = False
self.compute_nodes = {}
self.start()
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def run(self,task:ComputeTask) -> None:
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# 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")
return
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# add task to working_queue
self.task_queue.put_nowait(task)
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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...")
task = await self.task_queue.get()
logger.info(f"compute_kernel get task: {task.display()}")
c_node:ComputeNode = self._schedule(task)
await c_node.push_task(task)
logger.warn("compute_kernel is stoped!")
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:
return node
logger.warning(f"task {task.display()} is not support by any compute node")
return None
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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")
return
self.compute_nodes[node.node_id] = node
logger.info(f"add compute_node {node.display()} to compute_kernel")
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def disable_compute_node(self,node_id:str):
node = self.compute_nodes.get(node_id)
if node is None:
logger.warn(f"compute_node {node_id} not in compute_kernel")
return
node.enable = False
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
# then task_schedule would run this task.(might schedule some work_task to another host)
task_req = ComputeTask()
task_req.set_llm_params(prompt,mode_name,max_token)
self.run(task_req)
return task_req
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:
if task_req.state == ComputeTaskState.DONE:
break
if task_req.state == ComputeTaskState.ERROR:
break
if check_times >= 20:
task_req.state = ComputeTaskState.ERROR
break
await asyncio.sleep(0.5)
check_times += 1
await asyncio.create_task(check_timer())
if task_req.state == ComputeTaskState.DONE:
return task_req.result.result_str
return "error!"