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