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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import Flask, request, make_response
import hashlib
import time
import xml.etree.ElementTree as ET
import os
import json
from openai import OpenAI
from dotenv import load_dotenv
from duckduckgo_search import DDGS
import requests
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
# 加载环境变量
load_dotenv()
app = Flask(__name__)
# 配置
TOKEN = os.getenv('TOKEN')
API_KEY = os.getenv("API_KEY")
BASE_URL = os.getenv("OPENAI_BASE_URL")
emailkey = os.getenv("EMAIL_KEY")
client = OpenAI(api_key=API_KEY, base_url=BASE_URL)
# 存储用户会话信息
user_sessions = {}
FUNCTIONS = [
{
"name": "search_duckduckgo",
"description": "使用DuckDuckGo搜索引擎查询信息。可以搜索最新新闻、文章、博客等内容。",
"parameters": {
"type": "object",
"properties": {
"keywords": {
"type": "array",
"items": {"type": "string"},
"description": "搜索的关键词列表。例如:['Python', '机器学习', '最新进展']。"
}
},
"required": ["keywords"]
}
},
{
"name": "search_papers",
"description": "使用Crossref API搜索学术论文。",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "搜索查询字符串。例如:'climate change'。"
}
},
"required": ["query"]
}
},
{
"name": "send_email",
"description": "发送电子邮件。",
"parameters": {
"type": "object",
"properties": {
"to": {
"type": "string",
"description": "收件人邮箱地址"
},
"subject": {
"type": "string",
"description": "邮件主题"
},
"content": {
"type": "string",
"description": "邮件内容"
}
},
"required": ["to", "subject", "content"]
}
}
]
def verify_wechat(request):
data = request.args
signature = data.get('signature')
timestamp = data.get('timestamp')
nonce = data.get('nonce')
echostr = data.get('echostr')
temp = [timestamp, nonce, TOKEN]
temp.sort()
temp = ''.join(temp)
if (hashlib.sha1(temp.encode('utf8')).hexdigest() == signature):
return echostr
else:
return 'error', 403
def getUserMessageContentFromXML(xml_content):
root = ET.fromstring(xml_content)
content = root.find('Content').text
from_user_name = root.find('FromUserName').text
to_user_name = root.find('ToUserName').text
return content, from_user_name, to_user_name
def generate_response_xml(from_user_name, to_user_name, output_content):
output_xml = '''
<xml>
<ToUserName><![CDATA[%s]]></ToUserName>
<FromUserName><![CDATA[%s]]></FromUserName>
<CreateTime>%s</CreateTime>
<MsgType><![CDATA[text]]></MsgType>
<Content><![CDATA[%s]]></Content>
</xml>'''
response = make_response(output_xml % (from_user_name, to_user_name, str(int(time.time())), output_content))
response.content_type = 'application/xml'
return response
def get_openai_response(messages):
try:
tools = [{"type": "function", "function": func} for func in FUNCTIONS]
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=messages,
tools=tools,
tool_choice="auto"
)
return response.choices[0].message
except Exception as e:
print(f"调用OpenAI API时出错: {str(e)}")
return None
def split_message(message, max_length=500):
return [message[i:i+max_length] for i in range(0, len(message), max_length)]
def search_duckduckgo(keywords):
search_term = " ".join(keywords)
with DDGS() as ddgs:
return list(ddgs.text(keywords=search_term, region="cn-zh", safesearch="on", max_results=5))
def search_papers(query):
url = f"https://api.crossref.org/works?query={query}"
response = requests.get(url)
if response.status_code == 200:
data = response.json()
papers = data['message']['items'][:5] # 限制结果数量
return [{"title": paper.get('title', [''])[0], "DOI": paper.get('DOI', '')} for paper in papers]
else:
return []
def send_email(to, subject, content):
try:
with smtplib.SMTP('106.15.184.28', 8025) as smtp:
smtp.login("jwt", emailkey)
message = MIMEMultipart()
message['From'] = "Me <[email protected]>"
message['To'] = to
message['Subject'] = subject
message.attach(MIMEText(content, 'html'))
smtp.sendmail("[email protected]", to, message.as_string())
return True
except Exception as e:
print(f"发送邮件时出错: {str(e)}")
return False
def process_function_call(tool_call):
function_name = tool_call.function.name
function_args = json.loads(tool_call.function.arguments)
if function_name == "search_duckduckgo":
return search_duckduckgo(function_args.get('keywords', []))
elif function_name == "search_papers":
return search_papers(function_args.get('query', ''))
elif function_name == "send_email":
return send_email(function_args.get('to', ''), function_args.get('subject', ''), function_args.get('content', ''))
else:
return None
# @app.route('/api/wx', methods=['GET', 'POST'])
# def wechatai():
# if request.method == 'GET':
# return verify_wechat(request)
# else:
# xml_str = request.data
# user_message_content, from_user_name, to_user_name = getUserMessageContentFromXML(xml_str)
# if from_user_name not in user_sessions:
# user_sessions[from_user_name] = {'messages': [], 'pending_response': []}
# session = user_sessions[from_user_name]
# if user_message_content.lower() == '继续':
# if session['pending_response']:
# response_content = session['pending_response'].pop(0)
# if session['pending_response']:
# response_content += '\n\n回复"继续"获取下一部分。'
# else:
# response_content += '\n\n回复结束。'
# else:
# response_content = "没有待发送的消息。"
# else:
# session['messages'].append({"role": "user", "content": user_message_content})
# gpt_response = get_openai_response(session['messages'])
# if gpt_response.tool_calls:
# for tool_call in gpt_response.tool_calls:
# function_result = process_function_call(tool_call)
# session['messages'].append({
# "role": "function",
# "name": tool_call.function.name,
# "content": json.dumps(function_result)
# })
# final_response = get_openai_response(session['messages'])
# response_content = final_response.content
# else:
# response_content = gpt_response.content
# session['messages'].append({"role": "assistant", "content": response_content})
# response_parts = split_message(response_content)
# if len(response_parts) > 1:
# response_content = response_parts[0] + '\n\n回复"继续"获取下一部分。'
# session['pending_response'] = response_parts[1:]
# else:
# response_content = response_parts[0]
# return generate_response_xml(from_user_name, to_user_name, response_content)
@app.route('/api/wx', methods=['GET', 'POST'])
def wechatai():
if request.method == 'GET':
return verify_wechat(request)
else:
xml_str = request.data
user_message_content, from_user_name, to_user_name = getUserMessageContentFromXML(xml_str)
if from_user_name not in user_sessions:
user_sessions[from_user_name] = {'messages': [], 'pending_response': []}
session = user_sessions[from_user_name]
if user_message_content.lower() == '继续':
if session['pending_response']:
response_content = session['pending_response'].pop(0)
if session['pending_response']:
response_content += '\n\n回复"继续"获取下一部分。'
else:
response_content += '\n\n回复结束。'
else:
response_content = "没有待发送的消息。"
else:
session['messages'].append({"role": "user", "content": user_message_content})
gpt_response = get_openai_response(session['messages'])
if gpt_response.tool_calls:
for tool_call in gpt_response.tool_calls:
function_result = process_function_call(tool_call)
session['messages'].append({
"role": "function",
"name": tool_call.function.name,
"content": json.dumps(function_result)
})
# 直接使用 gpt_response 的内容,不再重新调用 API
response_content = gpt_response.content
else:
response_content = gpt_response.content
session['messages'].append({"role": "assistant", "content": response_content})
response_parts = split_message(response_content)
if len(response_parts) > 1:
response_content = response_parts[0] + '\n\n回复"继续"获取下一部分。'
session['pending_response'] = response_parts[1:]
else:
response_content = response_parts[0]
return generate_response_xml(from_user_name, to_user_name, response_content)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=7860, debug=True) |