WordsApp / llm /spark_llm.py
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#!/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())])