Langchain-Chatchat

Форк
0
100 строк · 3.7 Кб
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from fastchat.conversation import Conversation
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from server.model_workers.base import *
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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 server.model_workers import SparkApi
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import websockets
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from server.utils import iter_over_async, asyncio
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from typing import List, Dict
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async def request(appid, api_key, api_secret, Spark_url, domain, question, temperature, max_token):
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    wsParam = SparkApi.Ws_Param(appid, api_key, api_secret, Spark_url)
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    wsUrl = wsParam.create_url()
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    data = SparkApi.gen_params(appid, domain, question, temperature, max_token)
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    async with websockets.connect(wsUrl) as ws:
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        await ws.send(json.dumps(data, ensure_ascii=False))
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        finish = False
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        while not finish:
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            chunk = await ws.recv()
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            response = json.loads(chunk)
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            if response.get("header", {}).get("status") == 2:
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                finish = True
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            if text := response.get("payload", {}).get("choices", {}).get("text"):
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                yield text[0]["content"]
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class XingHuoWorker(ApiModelWorker):
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    def __init__(
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            self,
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            *,
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            model_names: List[str] = ["xinghuo-api"],
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            controller_addr: str = None,
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            worker_addr: str = None,
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            version: str = None,
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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", 8000)
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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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        version_mapping = {
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            "v1.5": {"domain": "general", "url": "ws://spark-api.xf-yun.com/v1.1/chat", "max_tokens": 4000},
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            "v2.0": {"domain": "generalv2", "url": "ws://spark-api.xf-yun.com/v2.1/chat", "max_tokens": 8000},
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            "v3.0": {"domain": "generalv3", "url": "ws://spark-api.xf-yun.com/v3.1/chat", "max_tokens": 8000},
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            "v3.5": {"domain": "generalv3", "url": "ws://spark-api.xf-yun.com/v3.5/chat", "max_tokens": 16000},
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        }
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        def get_version_details(version_key):
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            return version_mapping.get(version_key, {"domain": None, "url": None})
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        details = get_version_details(params.version)
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        domain = details["domain"]
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        Spark_url = details["url"]
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        text = ""
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        try:
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            loop = asyncio.get_event_loop()
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        except:
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            loop = asyncio.new_event_loop()
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        params.max_tokens = min(details["max_tokens"], params.max_tokens or 0)
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        for chunk in iter_over_async(
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                request(params.APPID, params.api_key, params.APISecret, Spark_url, domain, params.messages,
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                        params.temperature, params.max_tokens),
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                loop=loop,
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        ):
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            if chunk:
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                text += chunk
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                yield {"error_code": 0, "text": text}
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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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    def make_conv_template(self, conv_template: str = None, model_path: str = None) -> Conversation:
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        return conv.Conversation(
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            name=self.model_names[0],
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            system_message="你是一个聪明的助手,请根据用户的提示来完成任务",
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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 = XingHuoWorker(
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        controller_addr="http://127.0.0.1:20001",
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        worker_addr="http://127.0.0.1:21003",
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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=21003)
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