91 lines
2.8 KiB
Python
91 lines
2.8 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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