#!/usr/bin/env python # -*- encoding: utf-8 -*- ''' @File : wenxin_llm.py @Time : 2023/10/16 18:53:26 @Author : Logan Zou @Version : 1.0 @Contact : loganzou0421@163.com @License : (C)Copyright 2017-2018, Liugroup-NLPR-CASIA @Desc : 基于讯飞星火大模型自定义 LLM 类 ''' from langchain.llms.base import LLM from typing import Any, List, Mapping, Optional, Dict, Union, Tuple from pydantic import Field from llm.self_llm import Self_LLM import json import requests from langchain.callbacks.manager import CallbackManagerForLLMRun import _thread as thread import base64 import datetime import hashlib import hmac import json from urllib.parse import urlparse import ssl from datetime import datetime from time import mktime from urllib.parse import urlencode from wsgiref.handlers import format_date_time import websocket # 使用websocket_client import queue class Spark_LLM(Self_LLM): # 讯飞星火大模型的自定义 LLM # URL url : str = "ws://spark-api.xf-yun.com/v1.1/chat" # APPID appid : str = None # APISecret api_secret : str = None # Domain domain :str = "general" # max_token max_tokens : int = 4096 def getText(self, role, content, text = []): # role 是指定角色,content 是 prompt 内容 jsoncon = {} jsoncon["role"] = role jsoncon["content"] = content text.append(jsoncon) return text def _call(self, prompt : str, stop: Optional[List[str]] = None, run_manager: Optional[CallbackManagerForLLMRun] = None, **kwargs: Any): if self.api_key == None or self.appid == None or self.api_secret == None: # 三个 Key 均存在才可以正常调用 print("请填入 Key") raise ValueError("Key 不存在") # 将 Prompt 填充到星火格式 question = self.getText("user", prompt) # 发起请求 try: response = spark_main(self.appid,self.api_key,self.api_secret,self.url,self.domain,question, self.temperature, self.max_tokens) return response except Exception as e: print(e) print("请求失败") return "请求失败" @property def _llm_type(self) -> str: return "Spark" answer = "" class Ws_Param(object): # 初始化 def __init__(self, APPID, APIKey, APISecret, Spark_url): self.APPID = APPID self.APIKey = APIKey self.APISecret = APISecret self.host = urlparse(Spark_url).netloc self.path = urlparse(Spark_url).path self.Spark_url = Spark_url # 自定义 self.temperature = 0 self.max_tokens = 2048 # 生成url def create_url(self): # 生成RFC1123格式的时间戳 now = datetime.now() date = format_date_time(mktime(now.timetuple())) # 拼接字符串 signature_origin = "host: " + self.host + "\n" signature_origin += "date: " + date + "\n" signature_origin += "GET " + self.path + " HTTP/1.1" # 进行hmac-sha256进行加密 signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'), digestmod=hashlib.sha256).digest() signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8') authorization_origin = f'api_key="{self.APIKey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"' authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8') # 将请求的鉴权参数组合为字典 v = { "authorization": authorization, "date": date, "host": self.host } # 拼接鉴权参数,生成url url = self.Spark_url + '?' + urlencode(v) # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释,比对相同参数时生成的url与自己代码生成的url是否一致 return url # 收到websocket错误的处理 def on_error(ws, error): print("### error:", error) # 收到websocket关闭的处理 def on_close(ws,one,two): print(" ") # 收到websocket连接建立的处理 def on_open(ws): thread.start_new_thread(run, (ws,)) def run(ws, *args): data = json.dumps(gen_params(appid=ws.appid, domain= ws.domain,question=ws.question, temperature = ws.temperature, max_tokens = ws.max_tokens)) ws.send(data) # 收到websocket消息的处理 def on_message(ws, message): # print(message) data = json.loads(message) code = data['header']['code'] if code != 0: print(f'请求错误: {code}, {data}') ws.close() else: choices = data["payload"]["choices"] status = choices["status"] content = choices["text"][0]["content"] print(content,end ="") global answer answer += content # print(1) if status == 2: ws.close() def gen_params(appid, domain,question, temperature, max_tokens): """ 通过appid和用户的提问来生成请参数 """ data = { "header": { "app_id": appid, "uid": "1234" }, "parameter": { "chat": { "domain": domain, "random_threshold": 0.5, "max_tokens": max_tokens, "temperature" : temperature, "auditing": "default" } }, "payload": { "message": { "text": question } } } return data def spark_main(appid, api_key, api_secret, Spark_url,domain, question, temperature, max_tokens): # print("星火:") output_queue = queue.Queue() def on_message(ws, message): data = json.loads(message) code = data['header']['code'] if code != 0: print(f'请求错误: {code}, {data}') ws.close() else: choices = data["payload"]["choices"] status = choices["status"] content = choices["text"][0]["content"] # print(content, end='') # 将输出值放入队列 output_queue.put(content) if status == 2: ws.close() wsParam = Ws_Param(appid, api_key, api_secret, Spark_url) websocket.enableTrace(False) wsUrl = wsParam.create_url() ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open) ws.appid = appid ws.question = question ws.domain = domain ws.temperature = temperature ws.max_tokens = max_tokens ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE}) return ''.join([output_queue.get() for _ in range(output_queue.qsize())])