app.py

import os
import json
import requests
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from flask import Flask, request, jsonify, send_from_directory
from openai import OpenAI
from duckduckgo_search import DDGS

app = Flask(__name__)

API_KEY = "sk-909Q1F68ZRwTJfT4Bc81BeE1317c4986A5067f347a2f97C9"
BASE_URL = "https://api.oaipro.com/v1"

client = OpenAI(api_key=API_KEY, base_url=BASE_URL)

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 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']
        processed_papers = []
        for paper in papers:
            processed_paper = {
                "标题": paper.get('title', [''])[0],
                "作者": ", ".join([f"{author.get('given', '')} {author.get('family', '')}" for author in paper.get('author', [])]),
                "DOI": paper.get('DOI', ''),
                "ISBN": ", ".join(paper.get('ISBN', [])),
                "摘要": paper.get('abstract', '').replace('<p>', '').replace('</p>', '').replace('<italic>', '').replace('</italic>', '')
            }
            processed_papers.append(processed_paper)
        return processed_papers
    else:
        return []

def send_email(to, subject, content):
    try:
        with smtplib.SMTP('106.15.184.28', 8025) as smtp:
            smtp.login("jwt", "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhZGRyZXNzIjoiYWl4aWFvQGFpeGlhby54eXoiLCJhZGRyZXNzX2lkIjoiMSJ9.CidcEUdbixWPkI0wwWJtcnUzfHtTJE3WMIDLHNAIIxo")
            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 get_openai_response(messages, model="gpt-4o-mini", functions=None, function_call=None):
    try:
        response = client.chat.completions.create(
            model=model,
            messages=messages,
            functions=functions,
            function_call=function_call
        )
        return response.choices[0].message
    except Exception as e:
        print(f"调用OpenAI API时出错: {str(e)}")
        return None

def process_function_call(response_message):
    function_name = response_message.function_call.name
    function_args = json.loads(response_message.function_call.arguments)
    if function_name == "search_duckduckgo":
        keywords = function_args.get('keywords', [])
        if not keywords:
            return None
        return search_duckduckgo(keywords)
    elif function_name == "search_papers":
        query = function_args.get('query', '')
        if not query:
            return None
        return search_papers(query)
    elif function_name == "send_email":
        to = function_args.get('to', '')
        subject = function_args.get('subject', '')
        content = function_args.get('content', '')
        if not to or not subject or not content:
            return None
        success = send_email(to, subject, content)
        return {
            "success": success,
            "to": to,
            "subject": subject,
            "content": content
        }
    else:
        return None

@app.route('/')
def index():
    return send_from_directory('.', 'index.html')

@app.route('/chat', methods=['POST'])
def chat():
    data = request.json
    question = data['question']
    history = data.get('history', [])
    messages = history + [{"role": "user", "content": question}]
    
    status_log = []
    
    # First model: Decide whether to use search or send email
    status_log.append("次模型：正在判断是否需要进行搜索或发送邮件")
    decision_response = get_openai_response(messages, model="gpt-4o-mini", functions=FUNCTIONS, function_call="auto")
    
    search_results = None
    email_result = None
    if decision_response and decision_response.function_call:
        function_name = decision_response.function_call.name
        status_log.append(f"次模型：判断需要{function_name}")
        status_log.append(f"正在进行{function_name}")
        result = process_function_call(decision_response)
        if result:
            if function_name == "search_papers":
                search_results = result[:10]
            elif function_name == "search_duckduckgo":
                search_results = result
            elif function_name == "send_email":
                email_result = result
        status_log.append(f"{function_name}完成")
    else:
        status_log.append("次模型：判断不需要进行搜索或发送邮件")
    
    # Generate response based on the action taken
    if email_result:
        response = f"邮件{'已成功' if email_result['success'] else '未能成功'}发送到 {email_result['to']}。\n\n主题：{email_result['subject']}\n\n内容：\n{email_result['content']}"
    elif search_results:
        # Second model: Generate final response with search results
        status_log.append("主模型：正在生成回答")
        messages.append({
            "role": "assistant",
            "content": decision_response.content if decision_response.content else f"I need to {function_name}."
        })
        messages.append({
            "role": "function",
            "name": function_name,
            "content": json.dumps(search_results, ensure_ascii=False)
        })
        final_response = get_openai_response(messages, model="gpt-4o-mini")
        response = final_response.content if final_response else "Error occurred"
        status_log.append("主模型：回答生成完成")
    else:
        # Second model: Generate final response without search results
        status_log.append("主模型：正在生成回答")
        final_response = get_openai_response(messages, model="gpt-4o-mini")
        response = final_response.content if final_response else "Error occurred"
        status_log.append("主模型：回答生成完成")
    
    return jsonify({
        "response": response,
        "search_used": bool(search_results),
        "search_results": search_results,
        "email_sent": email_result['success'] if email_result else False,
        "status_log": status_log
    })

@app.route('/settings', methods=['POST'])
def update_settings():
    data = request.json
    max_history = data.get('max_history', 10)
    # 在这里可以添加其他设置项
    return jsonify({"status": "success", "max_history": max_history})

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=7860, debug=True)