232 lines
9.3 KiB
Python
232 lines
9.3 KiB
Python
from configs.model_config import LOG_PATH
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import fastchat.constants
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fastchat.constants.LOGDIR = LOG_PATH
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from fastchat.serve.model_worker import BaseModelWorker
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import uuid
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import json
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import sys
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from pydantic import BaseModel
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import fastchat
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import threading
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from typing import Dict, List
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# 恢复被fastchat覆盖的标准输出
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sys.stdout = sys.__stdout__
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sys.stderr = sys.__stderr__
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class ApiModelOutMsg(BaseModel):
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error_code: int = 0
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text: str
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class ApiModelWorker(BaseModelWorker):
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BASE_URL: str
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SUPPORT_MODELS: List
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def __init__(
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self,
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model_names: List[str],
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controller_addr: str,
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worker_addr: str,
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context_len: int = 2048,
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**kwargs,
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):
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kwargs.setdefault("worker_id", uuid.uuid4().hex[:8])
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kwargs.setdefault("model_path", "")
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kwargs.setdefault("limit_worker_concurrency", 5)
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super().__init__(model_names=model_names,
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controller_addr=controller_addr,
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worker_addr=worker_addr,
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**kwargs)
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self.context_len = context_len
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self.init_heart_beat()
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def count_token(self, params):
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# TODO：需要完善
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print("count token")
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print(params)
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prompt = params["prompt"]
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return {"count": len(str(prompt)), "error_code": 0}
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def generate_stream_gate(self, params):
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self.call_ct += 1
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def generate_gate(self, params):
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for x in self.generate_stream_gate(params):
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pass
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return json.loads(x[:-1].decode())
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def get_embeddings(self, params):
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print("embedding")
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print(params)
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# workaround to make program exit with Ctrl+c
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# it should be deleted after pr is merged by fastchat
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def init_heart_beat(self):
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self.register_to_controller()
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self.heart_beat_thread = threading.Thread(
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target=fastchat.serve.model_worker.heart_beat_worker, args=(self,), daemon=True,
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)
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self.heart_beat_thread.start()
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def prompt_collator(self,
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content_user: str = None,
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role_user:str = "user",
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content_assistant: str = None,
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role_assistant: str = "assistant",
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meta_prompt:List[Dict[str,str]] = [{"role":"system","content":"你是一个AI工具"}],
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use_meta_prompt:bool=False):
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prompt = []
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if use_meta_prompt:
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prompt += meta_prompt
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if content_user:
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prompt_dict = {"role": role_user, "content":content_user}
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prompt.append(prompt_dict)
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if content_assistant:
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prompt_dict = {"role": role_assistant, "content":content_assistant}
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prompt.append(prompt_dict)
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return prompt
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def create_oneshot(self,
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message: List[Dict[str,str]]=[{"role":"user","content":"你好，你可以做什么"}],
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model:str = "chatglm_pro",
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top_p:float=0.7,
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temperature:float=0.9,
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**kwargs
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):
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response = self.zhipuai.model_api.invoke(
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model = model,
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prompt = message,
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top_p = top_p,
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temperature = temperature
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)
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if response["code"] == 200:
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result = response["data"]["choices"][-1]["content"]
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return json.dumps({"error_code": 0, "text": result}, ensure_ascii=False).encode() + b"\0"
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else:
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#TODO 确认openai的error code
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print(f"error occurred, error code:{response['code']},error msg:{response['msg']}")
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return json.dumps({"error_code": response['code'],
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"text": f"error occurred, error code:{response['code']},error msg:{response['msg']}"
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},
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ensure_ascii=False).encode() + b"\0"
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def create_stream(self,
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message: List[Dict[str,str]]=[{"role":"user","content":"你好，你可以做什么"}],
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model:str = "chatglm_pro",
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top_p:float=0.7,
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temperature:float=0.9,
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**kwargs
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):
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response = self.zhipuai.model_api.sse_invoke(
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model = model,
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prompt = message,
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top_p = top_p,
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temperature = temperature,
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incremental = True
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)
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for event in response.events():
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if event.event == "add":
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# yield event.data
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yield json.dumps({"error_code": 0, "text": event.data}, ensure_ascii=False).encode() + b"\0"
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elif event.event == "error" or event.event == "interrupted":
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# return event.data
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yield json.dumps({"error_code": 0, "text": event.data}, ensure_ascii=False).encode() + b"\0"
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elif event.event == "finish":
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# yield event.data
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yield json.dumps({"error_code": 0, "text": event.data}, ensure_ascii=False).encode() + b"\0"
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print(event.meta)
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else:
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print("Something get wrong with ZhipuAPILoader.create_chat_completion_stream")
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print(event.data)
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yield json.dumps({"error_code": 1, "text": event.data}, ensure_ascii=False).encode() + b"\0"
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def create_chat_completion(self,
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model: str = "chatglm_pro",
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prompt:List[Dict[str,str]]=[{"role":"user","content":"你好，你可以做什么"}],
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top_p:float=0.7,
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temperature:float=0.9,
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stream:bool=False):
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if stream:
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return self.create_stream(model=model,
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message=prompt,
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top_p=top_p,
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temperature=temperature)
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else:
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return self.create_oneshot(model=model,
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message=prompt,
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top_p=top_p,
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temperature=temperature)
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async def acreate_chat_completion(self,
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prompt: List[Dict[str,str]]=[{"role":"system","content":"你是一个人工智能助手"},
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{"role":"user","content":"你好。"}],
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model:str = "chatglm_pro",
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top_p:float=0.7,
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temperature:float=0.9,
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**kwargs):
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response = await self.zhipuai.model_api.async_invoke(
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model = model,
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prompt = prompt,
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top_p = top_p,
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temperature = temperature
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)
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if response["code"] == 200:
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task_id = response['data']['task_id']
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status = "PROCESSING"
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while status != "SUCCESS":
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# await asyncio.sleep(3) #
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resp = self.zhipuai.model_api.query_async_invoke_result(task_id)
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status = resp['data']['task_status']
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return resp['data']['choices'][-1]['content']
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else:
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print(f"error occurred, error code:{response['code']},error msg:{response['msg']}")
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return
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def create_completion(self,
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prompt:str="你好",
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model:str="chatglm_pro",
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top_p:float=0.7,
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temperature:float=0.9,
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stream:bool=False,
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**kwargs):
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message = self.prompt_collator(content_user=prompt)
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if stream:
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return self.create_stream(model=model,
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message=message,
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top_p=top_p,
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temperature=temperature)
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else:
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return self.create_oneshot(model=model,
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message=message,
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top_p=top_p,
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temperature=temperature)
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#? make it a sync function?
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async def acreate_completion(self,
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prompt:str="你好",
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model:str = "chatglm_pro",
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top_p:float=0.7,
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temperature:float=0.9,
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**kwargs):
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message = self.prompt_collator(content_user=prompt)
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response = self.zhipuai.model_api.async_invoke(
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model = model,
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prompt = message,
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top_p = top_p,
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temperature = temperature
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)
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if response["code"] == 200:
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task_id = response['data']['task_id']
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status = "PROCESSING"
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while status != "SUCCESS":
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# await asyncio.sleep(3) #
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resp = self.zhipuai.model_api.query_async_invoke_result(task_id)
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status = resp['data']['task_status']
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return resp['data']['choices'][-1]['content']
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else:
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print(f"error occurred, error code:{response['code']},error msg:{response['msg']}")
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return |