120 lines
4.0 KiB
Python
120 lines
4.0 KiB
Python
import json
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import time
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import hashlib
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from fastchat.conversation import Conversation
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from .base import *
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# from server.utils import get_httpx_client
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from fastchat import conversation as conv
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import sys
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import json
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from typing import List, Literal, Dict
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from configs import logger, log_verbose
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def calculate_md5(input_string):
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md5 = hashlib.md5()
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md5.update(input_string.encode('utf-8'))
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encrypted = md5.hexdigest()
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return encrypted
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class BaiChuanWorker(ApiModelWorker):
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def __init__(
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self,
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*,
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controller_addr: str = None,
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worker_addr: str = None,
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model_names: List[str] = ["baichuan-api"],
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version: Literal["Baichuan2-53B"] = "Baichuan2-53B",
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**kwargs,
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):
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kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
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kwargs.setdefault("context_len", 32768)
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super().__init__(**kwargs)
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self.version = version
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def do_chat(self, params: ApiChatParams) -> Dict:
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params.load_config(self.model_names[0])
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url = "https://api.baichuan-ai.com/v1/stream/chat"
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data = {
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"model": params.version,
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"messages": params.messages,
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"parameters": {"temperature": params.temperature}
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}
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json_data = json.dumps(data)
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time_stamp = int(time.time())
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signature = calculate_md5(params.secret_key + json_data + str(time_stamp))
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headers = {
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"Content-Type": "application/json",
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"Authorization": "Bearer " + params.api_key,
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"X-BC-Request-Id": "your requestId",
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"X-BC-Timestamp": str(time_stamp),
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"X-BC-Signature": signature,
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"X-BC-Sign-Algo": "MD5",
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}
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text = ""
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if log_verbose:
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logger.info(f'{self.__class__.__name__}:json_data: {json_data}')
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logger.info(f'{self.__class__.__name__}:url: {url}')
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logger.info(f'{self.__class__.__name__}:headers: {headers}')
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with get_httpx_client() as client:
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with client.stream("POST", url, headers=headers, json=data) as response:
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for line in response.iter_lines():
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if not line.strip():
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continue
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resp = json.loads(line)
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if resp["code"] == 0:
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text += resp["data"]["messages"][-1]["content"]
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yield {
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"error_code": resp["code"],
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"text": text
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}
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else:
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data = {
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"error_code": resp["code"],
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"text": resp["msg"],
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"error": {
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"message": resp["msg"],
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"type": "invalid_request_error",
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"param": None,
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"code": None,
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}
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}
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self.logger.error(f"请求百川 API 时发生错误：{data}")
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yield data
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def get_embeddings(self, params):
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# TODO: 支持embeddings
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print("embedding")
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print(params)
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def make_conv_template(self, conv_template: str = None, model_path: str = None) -> Conversation:
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# TODO: 确认模板是否需要修改
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return conv.Conversation(
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name=self.model_names[0],
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system_message="",
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messages=[],
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roles=["user", "assistant"],
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sep="\n### ",
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stop_str="###",
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)
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if __name__ == "__main__":
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import uvicorn
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from server.utils import MakeFastAPIOffline
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from fastchat.serve.model_worker import app
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worker = BaiChuanWorker(
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controller_addr="http://127.0.0.1:20001",
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worker_addr="http://127.0.0.1:21007",
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)
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sys.modules["fastchat.serve.model_worker"].worker = worker
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MakeFastAPIOffline(app)
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uvicorn.run(app, port=21007)
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# do_request()
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