142 lines
4.6 KiB
Python
142 lines
4.6 KiB
Python
# import os
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# import sys
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# sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
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import json
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import time
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import hashlib
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from server.model_workers.base import ApiModelWorker
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from server.utils import get_model_worker_config, 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 TEMPERATURE
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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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def request_baichuan_api(
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messages: List[Dict[str, str]],
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api_key: str = None,
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secret_key: str = None,
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version: str = "Baichuan2-53B",
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temperature: float = TEMPERATURE,
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model_name: str = "baichuan-api",
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):
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config = get_model_worker_config(model_name)
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api_key = api_key or config.get("api_key")
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secret_key = secret_key or config.get("secret_key")
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version = version or config.get("version")
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url = "https://api.baichuan-ai.com/v1/stream/chat"
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data = {
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"model": version,
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"messages": messages,
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"parameters": {"temperature": 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(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 " + 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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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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yield resp
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class BaiChuanWorker(ApiModelWorker):
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BASE_URL = "https://api.baichuan-ai.com/v1/stream/chat"
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SUPPORT_MODELS = ["Baichuan2-53B"]
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def __init__(
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self,
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*,
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controller_addr: str,
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worker_addr: str,
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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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# TODO: 确认模板是否需要修改
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self.conv = 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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config = self.get_config()
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self.version = config.get("version",version)
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self.api_key = config.get("api_key")
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self.secret_key = config.get("secret_key")
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def generate_stream_gate(self, params):
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super().generate_stream_gate(params)
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messages = self.prompt_to_messages(params["prompt"])
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text = ""
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for resp in request_baichuan_api(messages=messages,
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api_key=self.api_key,
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secret_key=self.secret_key,
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version=self.version,
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temperature=params.get("temperature")):
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if resp["code"] == 0:
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text += resp["data"]["messages"][-1]["content"]
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yield json.dumps(
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{
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"error_code": resp["code"],
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"text": text
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},
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ensure_ascii=False
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).encode() + b"\0"
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else:
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yield json.dumps(
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{
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"error_code": resp["code"],
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"text": resp["msg"]
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},
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ensure_ascii=False
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).encode() + b"\0"
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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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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://127.0.0.1:21001",
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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=21001)
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# do_request() |