appold.py

#!/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)