mistpe commited on
Commit
c3c93e2
1 Parent(s): a4ae7b7

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +63 -61
app.py CHANGED
@@ -1,8 +1,10 @@
1
- import os
 
2
  from flask import Flask, request, make_response
3
- from wechatpy import parse_message, create_reply
4
- from wechatpy.utils import check_signature
5
- from wechatpy.exceptions import InvalidSignatureException
 
6
  from openai import OpenAI
7
  from dotenv import load_dotenv
8
 
@@ -12,7 +14,7 @@ load_dotenv()
12
  app = Flask(__name__)
13
 
14
  # 配置
15
- TOKEN = os.getenv('TOKEN')
16
  API_KEY = os.getenv("OPENAI_API_KEY")
17
  BASE_URL = os.getenv("OPENAI_BASE_URL")
18
  client = OpenAI(api_key=API_KEY, base_url=BASE_URL)
@@ -27,16 +29,21 @@ AVAILABLE_MODELS = {
27
  # 存储用户会话信息
28
  user_sessions = {}
29
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  def get_openai_response(messages, model="gpt-3.5-turbo"):
31
- try:
32
- response = client.chat.completions.create(
33
- model=model,
34
- messages=messages
35
- )
36
- return response.choices[0].message.content
37
- except Exception as e:
38
- print(f"调用OpenAI API时出错: {str(e)}")
39
- return "抱歉,我遇到了一些问题,无法回答您的问题。"
40
 
41
  def split_message(message, max_length=500):
42
  return [message[i:i+max_length] for i in range(0, len(message), max_length)]
@@ -44,58 +51,53 @@ def split_message(message, max_length=500):
44
  def list_available_models():
45
  return "\n".join([f"{key}: {value}" for key, value in AVAILABLE_MODELS.items()])
46
 
47
- @app.route('/', methods=['GET', 'POST'])
48
- def wechat():
49
  if request.method == 'GET':
50
- token = TOKEN
51
- query = request.args
52
- signature = query.get('signature', '')
53
- timestamp = query.get('timestamp', '')
54
- nonce = query.get('nonce', '')
55
- echostr = query.get('echostr', '')
56
- try:
57
- check_signature(token, signature, timestamp, nonce)
58
- except InvalidSignatureException:
59
- return 'Invalid signature'
60
- return echostr
61
-
62
- if request.method == 'POST':
63
- xml_str = request.data
64
- if not xml_str:
65
- return ""
66
-
67
- msg = parse_message(xml_str)
68
- if msg.type == 'text':
69
- user_id = msg.source
70
- content = msg.content
71
-
72
- if content.lower() == '/models':
73
- return create_reply(f"可用的模型列表:\n{list_available_models()}\n\n使用 /model 模型名称 来切换模型", msg).render()
74
-
75
- if content.lower().startswith('/model'):
76
- model = content.split(' ')[1]
77
- if model in AVAILABLE_MODELS:
78
- user_sessions[user_id] = {'model': model, 'messages': []}
79
- return create_reply(f'模型已切换为 {AVAILABLE_MODELS[model]}', msg).render()
80
  else:
81
- return create_reply(f'无效的模型名称。可用的模型有:\n{list_available_models()}', msg).render()
82
-
83
- if user_id not in user_sessions:
84
- user_sessions[user_id] = {'model': 'gpt-3.5-turbo', 'messages': []}
85
-
86
- session = user_sessions[user_id]
87
- session['messages'].append({"role": "user", "content": content})
 
 
88
 
89
- response = get_openai_response(session['messages'], session['model'])
90
- session['messages'].append({"role": "assistant", "content": response})
91
 
92
- response_parts = split_message(response)
93
- for part in response_parts[:-1]:
94
- create_reply(part, msg).render()
95
 
96
- return create_reply(response_parts[-1], msg).render()
 
 
 
 
97
 
98
- return create_reply('Sorry, can not handle this for now', msg).render()
99
 
100
  if __name__ == '__main__':
101
- app.run(host='0.0.0.0', port=7860)
 
1
+ #!/usr/bin/env python
2
+ # -*- coding: utf-8 -*-
3
  from flask import Flask, request, make_response
4
+ import hashlib
5
+ import time
6
+ import xml.etree.ElementTree as ET
7
+ import os
8
  from openai import OpenAI
9
  from dotenv import load_dotenv
10
 
 
14
  app = Flask(__name__)
15
 
16
  # 配置
17
+ TOKEN = os.getenv('WECHAT_TOKEN')
18
  API_KEY = os.getenv("OPENAI_API_KEY")
19
  BASE_URL = os.getenv("OPENAI_BASE_URL")
20
  client = OpenAI(api_key=API_KEY, base_url=BASE_URL)
 
29
  # 存储用户会话信息
30
  user_sessions = {}
31
 
32
+ def verify_wechat(request):
33
+ # 验证逻辑保持不变
34
+ ...
35
+
36
+ def getUserMessageContentFromXML(xml_content):
37
+ # XML解析逻辑保持不变
38
+ ...
39
+
40
+ def generate_response_xml(from_user_name, to_user_name, output_content):
41
+ # XML生成逻辑保持不变
42
+ ...
43
+
44
  def get_openai_response(messages, model="gpt-3.5-turbo"):
45
+ # OpenAI API调用逻辑保持不变
46
+ ...
 
 
 
 
 
 
 
47
 
48
  def split_message(message, max_length=500):
49
  return [message[i:i+max_length] for i in range(0, len(message), max_length)]
 
51
  def list_available_models():
52
  return "\n".join([f"{key}: {value}" for key, value in AVAILABLE_MODELS.items()])
53
 
54
+ @app.route('/api/wx', methods=['GET', 'POST'])
55
+ def wechatai():
56
  if request.method == 'GET':
57
+ return verify_wechat(request)
58
+ else:
59
+ # 处理POST请求
60
+ print("user request data: ", request.data)
61
+ user_message_content, from_user_name, to_user_name = getUserMessageContentFromXML(request.data)
62
+ print("user message content: ", user_message_content)
63
+
64
+ if user_message_content.lower() == '/models':
65
+ response_content = f"可用的模型列表:\n{list_available_models()}\n\n使用 /model 模型名称 来切换模型"
66
+ elif user_message_content.lower().startswith('/model'):
67
+ model = user_message_content.split(' ')[1]
68
+ if model in AVAILABLE_MODELS:
69
+ user_sessions[from_user_name] = {'model': model, 'messages': [], 'pending_response': []}
70
+ response_content = f'模型已切换为 {AVAILABLE_MODELS[model]}'
71
+ else:
72
+ response_content = f'无效的模型名称。可用的模型有:\n{list_available_models()}'
73
+ elif user_message_content.lower() == '继续':
74
+ if from_user_name in user_sessions and user_sessions[from_user_name]['pending_response']:
75
+ response_content = user_sessions[from_user_name]['pending_response'].pop(0)
76
+ if user_sessions[from_user_name]['pending_response']:
77
+ response_content += "\n\n回复"继续"获取下一部分。"
 
 
 
 
 
 
 
 
 
78
  else:
79
+ response_content += "\n\n回复结束。"
80
+ else:
81
+ response_content = "没有待发送的消息。"
82
+ else:
83
+ if from_user_name not in user_sessions:
84
+ user_sessions[from_user_name] = {'model': 'gpt-3.5-turbo', 'messages': [], 'pending_response': []}
85
+
86
+ session = user_sessions[from_user_name]
87
+ session['messages'].append({"role": "user", "content": user_message_content})
88
 
89
+ gpt_response = get_openai_response(session['messages'], session['model'])
90
+ session['messages'].append({"role": "assistant", "content": gpt_response})
91
 
92
+ response_parts = split_message(gpt_response)
 
 
93
 
94
+ if len(response_parts) > 1:
95
+ response_content = response_parts[0] + "\n\n回复"继续"获取下一部分。"
96
+ session['pending_response'] = response_parts[1:]
97
+ else:
98
+ response_content = response_parts[0]
99
 
100
+ return generate_response_xml(from_user_name, to_user_name, response_content)
101
 
102
  if __name__ == '__main__':
103
+ app.run(host='0.0.0.0', port=7860, debug=True)