mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
synced 2026-01-19 13:23:16 +08:00
03e55e11c4
* move get_default_llm_model from webui to ApiRequest 增加API接口及其测试用例： - /server/get_prompt_template: 获取服务器配置的 prompt 模板 - 增加知识库多线程访问测试用例 支持lite模式：无需安装torch等重依赖，通过在线API实现LLM对话和搜索引擎对话 * fix bug in server.api --------- Co-authored-by: imClumsyPanda <littlepanda0716@gmail.com>
104 lines
3.5 KiB
Python
104 lines
3.5 KiB
Python
from fastchat.conversation import Conversation
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from server.model_workers.base import ApiModelWorker
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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
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async def request(appid, api_key, api_secret, Spark_url,domain, question, temperature):
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# print("星火:")
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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)
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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,
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worker_addr: str,
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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", 8192)
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super().__init__(**kwargs)
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def generate_stream_gate(self, params):
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# TODO: 当前每次对话都要重新连接websocket，确认是否可以保持连接
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super().generate_stream_gate(params)
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config = self.get_config()
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appid = config.get("APPID")
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api_secret = config.get("APISecret")
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api_key = config.get("api_key")
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if config.get("is_v2"):
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domain = "generalv2" # v2.0版本
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Spark_url = "ws://spark-api.xf-yun.com/v2.1/chat" # v2.0环境的地址
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else:
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domain = "general" # v1.5版本
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Spark_url = "ws://spark-api.xf-yun.com/v1.1/chat" # v1.5环境的地址
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question = self.prompt_to_messages(params["prompt"])
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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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for chunk in iter_over_async(
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request(appid, api_key, api_secret, Spark_url, domain, question, params.get("temperature")),
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loop=loop,
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):
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if chunk:
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print(chunk)
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text += chunk
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yield json.dumps({"error_code": 0, "text": text}, ensure_ascii=False).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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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 = 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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