增加webui_utils.py，包括制作webui通用的工具，方便以后开发其他webui
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liunux4odoo
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# 该文件包含webui通用工具，可以被不同的webui使用
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from typing import *
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from pathlib import Path
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import os
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from configs.model_config import (
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KB_ROOT_PATH,
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LLM_MODEL,
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llm_model_dict,
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)
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import httpx
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import asyncio
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from server.chat.openai_chat import OpenAiChatMsgIn
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from fastapi.responses import StreamingResponse
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def set_httpx_timeout(timeout=60.0):
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'''
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设置httpx默认timeout到60秒。
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httpx默认timeout是5秒，在请求LLM回答时不够用。
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'''
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httpx._config.DEFAULT_TIMEOUT_CONFIG.connect = timeout
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httpx._config.DEFAULT_TIMEOUT_CONFIG.read = timeout
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httpx._config.DEFAULT_TIMEOUT_CONFIG.write = timeout
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KB_ROOT_PATH = Path(KB_ROOT_PATH)
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set_httpx_timeout()
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def get_kb_list() -> List[str]:
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'''
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获取知识库列表
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'''
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kb_list = os.listdir(KB_ROOT_PATH)
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return [x for x in kb_list if (KB_ROOT_PATH / x).is_dir()]
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def get_kb_files(kb: str) -> List[str]:
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'''
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获取某个知识库下包含的所有文件（只包括根目录一级）
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'''
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kb = KB_ROOT_PATH / kb / "content"
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if kb.is_dir():
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kb_files = os.listdir(kb)
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return kb_files
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else:
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return []
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def run_async(cor):
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'''
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在同步环境中运行异步代码.
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'''
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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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return loop.run_until_complete(cor)
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def iter_over_async(ait, loop):
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'''
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将异步生成器封装成同步生成器.
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'''
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ait = ait.__aiter__()
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async def get_next():
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try:
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obj = await ait.__anext__()
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return False, obj
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except StopAsyncIteration:
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return True, None
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while True:
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done, obj = loop.run_until_complete(get_next())
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if done:
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break
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yield obj
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class ApiRequest:
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'''
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api.py调用的封装,主要实现:
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1. 简化api调用方式
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2. 实现无api调用(直接运行server.chat.*中的视图函数获取结果),无需启动api.py
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'''
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def __init__(
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self,
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base_url: str = "http://127.0.0.1:7861",
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timeout: float = 60.0,
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):
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self.base_url = base_url
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self.timeout = timeout
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def _parse_url(self, url: str) -> str:
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if (not url.startswith("http")
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and self.base_url
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):
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part1 = self.base_url.strip(" /")
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part2 = url.strip(" /")
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return f"{part1}/{part2}"
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else:
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return url
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def get(
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self,
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url: str,
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params: Union[Dict, List[Tuple], bytes] = None,
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retry: int = 3,
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**kwargs: Any,
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) -> Union[httpx.Response, None]:
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url = self._parse_url(url)
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kwargs.setdefault("timeout", self.timeout)
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while retry > 0:
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try:
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return httpx.get(url, params, **kwargs)
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except:
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retry -= 1
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async def aget(
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self,
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url: str,
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params: Union[Dict, List[Tuple], bytes] = None,
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retry: int = 3,
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**kwargs: Any,
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) -> Union[httpx.Response, None]:
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rl = self._parse_url(url)
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kwargs.setdefault("timeout", self.timeout)
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async with httpx.AsyncClient() as client:
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while retry > 0:
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try:
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return await client.get(url, params, **kwargs)
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except:
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retry -= 1
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def post(
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self,
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url: str,
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data: Dict = None,
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json: Dict = None,
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retry: int = 3,
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stream: bool = False,
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**kwargs: Any
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) -> Union[httpx.Response, None]:
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url = self._parse_url(url)
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kwargs.setdefault("timeout", self.timeout)
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while retry > 0:
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try:
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# return requests.post(url, data=data, json=json, stream=stream, **kwargs)
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if stream:
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return httpx.stream("POST", url, data=data, json=json, **kwargs)
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else:
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return httpx.post(url, data=data, json=json, **kwargs)
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except:
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retry -= 1
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async def apost(
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self,
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url: str,
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data: Dict = None,
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json: Dict = None,
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retry: int = 3,
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**kwargs: Any
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) -> Union[httpx.Response, None]:
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rl = self._parse_url(url)
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kwargs.setdefault("timeout", self.timeout)
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async with httpx.AsyncClient() as client:
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while retry > 0:
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try:
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return await client.post(url, data=data, json=json, **kwargs)
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except:
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retry -= 1
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def _stream2generator(self, response: StreamingResponse):
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'''
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将api.py中视图函数返回的StreamingResponse转化为同步生成器
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'''
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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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return iter_over_async(response.body_iterator, loop)
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def chat_fastchat(
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self,
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messages: List[Dict],
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stream: bool = True,
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model: str = LLM_MODEL,
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temperature: float = 0.7,
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max_tokens: int = 1024, # todo:根据message内容自动计算max_tokens
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no_remote_api=False, # all api view function directly
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**kwargs: Any,
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):
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'''
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对应api.py/chat/fastchat接口
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'''
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msg = OpenAiChatMsgIn(**{
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"messages": messages,
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"stream": stream,
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"model": model,
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"temperature": temperature,
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"max_tokens": max_tokens,
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**kwargs,
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})
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if no_remote_api:
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from server.chat.openai_chat import openai_chat
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response = openai_chat(msg)
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return self._stream2generator(response)
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else:
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data = msg.dict(exclude_unset=True, exclude_none=True)
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response = self.post(
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"/chat/fastchat",
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json=data,
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stream=stream,
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)
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return response
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def chat_chat(
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self,
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query: str,
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no_remote_api: bool = False,
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):
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'''
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对应api.py/chat/chat接口
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'''
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if no_remote_api:
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from server.chat.chat import chat
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response = chat(query)
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return self._stream2generator(response)
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else:
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response = self.post("/chat/chat", json=f"{query}", stream=True)
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return response
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if __name__ == "__main__":
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api = ApiRequest()
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# print(api.chat_fastchat(
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# messages=[{"role": "user", "content": "hello"}]
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# ))
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with api.chat_chat("你好") as r:
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for t in r.iter_text(None):
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print(t)
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r = api.chat_chat("你好", no_remote_api=True)
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for t in r:
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print(t)
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