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opendan/src/aios_kernel/compute_task.py
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from enum import Enum
import uuid
import time
class ComputeTaskState(Enum):
DONE = 0
INIT = 1
RUNNING = 2
ERROR = 3
PENDING = 4
class ComputeTask:
def __init__(self) -> None:
self.task_type = "llm_completion"
self.create_time = None
self.task_id:str = None
self.callchain_id:str = None
self.params:dict = {}
self.refers:dict = None
self.pading_data:bytearray = None
self.state = ComputeTaskState.INIT
self.result = None
self.error_str = None
def set_llm_params(self,prompts,model_name,max_token_size,callchain_id = None):
self.task_type = "llm_completion"
self.create_time = time.time()
self.task_id = uuid.uuid4().hex
self.callchain_id = callchain_id
self.params["prompts"] = prompts.messages
if model_name is not None:
self.params["model_name"] = model_name
else:
self.params["model_name"] = "gpt-4-0613"
self.params["max_token_size"] = max_token_size
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def set_text_embeding_params(self, input, model_name=None, callchain_id = None):
self.task_type = "text_embedding"
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self.create_time = time.time()
self.task_id = uuid.uuid4().hex
self.callchain_id = callchain_id
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if model_name is not None:
self.params["model_name"] = model_name
else:
self.params["model_name"] = "text-embedding-ada-002"
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self.params["input"] = input
def display(self) -> str:
return f"ComputeTask: {self.task_id} {self.task_type} {self.state}"
class ComputeTaskResult:
def __init__(self) -> None:
self.create_time = None
self.task_id:str = None
self.callchain_id:str = None
self.worker_id:str = None
self.result_code:int = 0
self.result_str:str = None
self.result:dict = {}
self.result_refers:dict = None
self.pading_data:bytearray = None
def set_from_task(self,task:ComputeTask):
self.task_id = task.task_id
self.callchain_id = task.callchain_id