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Merge branch 'master' into feat-agent

master
zhayujie GitHub 1 year ago
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10 changed files with 64 additions and 43 deletions
  1. +9
    -11
      README.md
  2. +3
    -2
      bot/linkai/link_ai_bot.py
  3. +1
    -0
      bridge/context.py
  4. +2
    -0
      channel/chat_channel.py
  5. +4
    -1
      channel/wechat/wechat_channel.py
  6. +3
    -0
      channel/wechat/wechat_message.py
  7. +1
    -3
      config-template.json
  8. +8
    -25
      plugins/linkai/linkai.py
  9. +5
    -1
      plugins/linkai/midjourney.py
  10. +28
    -0
      plugins/linkai/utils.py

+ 9
- 11
README.md View File

@@ -16,7 +16,7 @@

# 演示

https://user-images.githubusercontent.com/26161723/233777277-e3b9928e-b88f-43e2-b0e0-3cbc923bc799.mp4
https://github.com/zhayujie/chatgpt-on-wechat/assets/26161723/d5154020-36e3-41db-8706-40ce9f3f1b1e

Demo made by [Visionn](https://www.wangpc.cc/)

@@ -50,11 +50,13 @@ Demo made by [Visionn](https://www.wangpc.cc/)

## 准备

### 1. OpenAI账号注册
### 1. 账号注册

前往 [OpenAI注册页面](https://beta.openai.com/signup) 创建账号,参考这篇 [教程](https://www.pythonthree.com/register-openai-chatgpt/) 可以通过虚拟手机号来接收验证码。创建完账号则前往 [API管理页面](https://beta.openai.com/account/api-keys) 创建一个 API Key 并保存下来,后面需要在项目中配置这个key。
项目默认使用OpenAI接口,需前往 [OpenAI注册页面](https://beta.openai.com/signup) 创建账号,创建完账号则前往 [API管理页面](https://beta.openai.com/account/api-keys) 创建一个 API Key 并保存下来,后面需要在项目中配置这个key。接口需要海外网络访问及绑定信用卡支付。

> 项目中默认使用的对话模型是 gpt3.5 turbo,计费方式是约每 500 汉字 (包含请求和回复) 消耗 $0.002,图片生成是每张消耗 $0.016。
> 默认对话模型是 openai 的 gpt-3.5-turbo,计费方式是约每 1000tokens (约750个英文单词 或 500汉字,包含请求和回复) 消耗 $0.002,图片生成是Dell E模型,每张消耗 $0.016。

项目同时也支持使用 LinkAI 接口,无需代理,可使用 文心、讯飞、GPT-3、GPT-4 等模型,支持 定制化知识库、联网搜索、MJ绘图、文档总结和对话等能力。修改配置即可一键切换,参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。

### 2.运行环境

@@ -184,10 +186,10 @@ pip3 install azure-cognitiveservices-speech
如果是开发机 **本地运行**,直接在项目根目录下执行:

```bash
python3 app.py
python3 app.py # windows环境下该命令通常为 python app.py
```
终端输出二维码后,使用微信进行扫码,当输出 "Start auto replying" 时表示自动回复程序已经成功运行了(注意:用于登录的微信需要在支付处已完成实名认证)。扫码登录后你的账号就成为机器人了,可以在微信手机端通过配置的关键词触发自动回复 (任意好友发送消息给你,或是自己发消息给好友),参考[#142](https://github.com/zhayujie/chatgpt-on-wechat/issues/142)。

终端输出二维码后,使用微信进行扫码,当输出 "Start auto replying" 时表示自动回复程序已经成功运行了(注意:用于登录的微信需要在支付处已完成实名认证)。扫码登录后你的账号就成为机器人了,可以在微信手机端通过配置的关键词触发自动回复 (任意好友发送消息给你,或是自己发消息给好友),参考[#142](https://github.com/zhayujie/chatgpt-on-wechat/issues/142)。

### 2.服务器部署

@@ -269,8 +271,4 @@ FAQs: <https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs>

## 联系

欢迎提交PR、Issues,以及Star支持一下。程序运行遇到问题可以查看 [常见问题列表](https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs) ,其次前往 [Issues](https://github.com/zhayujie/chatgpt-on-wechat/issues) 中搜索。

如果你想了解更多项目细节,与开发者们交流更多关于AI技术的实践,欢迎加入星球:

<a href="https://public.zsxq.com/groups/88885848842852.html"><img width="360" src="./docs/images/planet.jpg"></a>
欢迎提交PR、Issues,以及Star支持一下。程序运行遇到问题可以查看 [常见问题列表](https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs) ,其次前往 [Issues](https://github.com/zhayujie/chatgpt-on-wechat/issues) 中搜索。参与更多讨论可加入技术交流群。

+ 3
- 2
bot/linkai/link_ai_bot.py View File

@@ -94,6 +94,9 @@ class LinkAIBot(Bot, OpenAIImage):
response = res.json()
reply_content = response["choices"][0]["message"]["content"]
total_tokens = response["usage"]["total_tokens"]
logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}")
self.sessions.session_reply(reply_content, session_id, total_tokens)
agent_suffix = self._fetch_agent_suffix(response)
if agent_suffix:
reply_content += agent_suffix
@@ -101,8 +104,6 @@ class LinkAIBot(Bot, OpenAIImage):
knowledge_suffix = self._fetch_knowledge_search_suffix(response)
if knowledge_suffix:
reply_content += knowledge_suffix
logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}")
self.sessions.session_reply(reply_content, session_id, total_tokens)
return Reply(ReplyType.TEXT, reply_content)

else:


+ 1
- 0
bridge/context.py View File

@@ -12,6 +12,7 @@ class ContextType(Enum):
SHARING = 6 # 分享信息

IMAGE_CREATE = 10 # 创建图片命令
ACCEPT_FRIEND = 19 # 同意好友请求
JOIN_GROUP = 20 # 加入群聊
PATPAT = 21 # 拍了拍
FUNCTION = 22 # 函数调用


+ 2
- 0
channel/chat_channel.py View File

@@ -205,6 +205,8 @@ class ChatChannel(Channel):
elif context.type == ContextType.IMAGE: # 图片消息,当前仅做下载保存到本地的逻辑
cmsg = context["msg"]
cmsg.prepare()
elif context.type == ContextType.SHARING: # 分享信息,当前无默认逻辑
pass
elif context.type == ContextType.FUNCTION or context.type == ContextType.FILE: # 文件消息及函数调用等,当前无默认逻辑
pass
else:


+ 4
- 1
channel/wechat/wechat_channel.py View File

@@ -142,6 +142,9 @@ class WechatChannel(ChatChannel):
@time_checker
@_check
def handle_single(self, cmsg: ChatMessage):
# filter system message
if cmsg.other_user_id in ["weixin"]:
return
if cmsg.ctype == ContextType.VOICE:
if conf().get("speech_recognition") != True:
return
@@ -167,7 +170,7 @@ class WechatChannel(ChatChannel):
logger.debug("[WX]receive voice for group msg: {}".format(cmsg.content))
elif cmsg.ctype == ContextType.IMAGE:
logger.debug("[WX]receive image for group msg: {}".format(cmsg.content))
elif cmsg.ctype in [ContextType.JOIN_GROUP, ContextType.PATPAT]:
elif cmsg.ctype in [ContextType.JOIN_GROUP, ContextType.PATPAT, ContextType.ACCEPT_FRIEND]:
logger.debug("[WX]receive note msg: {}".format(cmsg.content))
elif cmsg.ctype == ContextType.TEXT:
# logger.debug("[WX]receive group msg: {}, cmsg={}".format(json.dumps(cmsg._rawmsg, ensure_ascii=False), cmsg))


+ 3
- 0
channel/wechat/wechat_message.py View File

@@ -34,6 +34,9 @@ class WechatMessage(ChatMessage):
self.actual_user_nickname = re.findall(r"\"(.*?)\"", itchat_msg["Content"])[-1]
elif "加入群聊" in itchat_msg["Content"]:
self.actual_user_nickname = re.findall(r"\"(.*?)\"", itchat_msg["Content"])[0]
elif "你已添加了" in itchat_msg["Content"]: #通过好友请求
self.ctype = ContextType.ACCEPT_FRIEND
self.content = itchat_msg["Content"]
elif "拍了拍我" in itchat_msg["Content"]:
self.ctype = ContextType.PATPAT
self.content = itchat_msg["Content"]


+ 1
- 3
config-template.json View File

@@ -20,9 +20,7 @@
"ChatGPT测试群"
],
"image_create_prefix": [
"画",
"看",
"找"
"画"
],
"speech_recognition": false,
"group_speech_recognition": false,


+ 8
- 25
plugins/linkai/linkai.py View File

@@ -1,7 +1,6 @@
import plugins
from bridge.context import ContextType
from bridge.reply import Reply, ReplyType
from config import global_config
from plugins import *
from .midjourney import MJBot
from .summary import LinkSummary
@@ -9,7 +8,7 @@ from bridge import bridge
from common.expired_dict import ExpiredDict
from common import const
import os
from .utils import Util

@plugins.register(
name="linkai",
@@ -129,7 +128,7 @@ class LinkAI(Plugin):

if len(cmd) == 2 and (cmd[1] == "open" or cmd[1] == "close"):
# 知识库开关指令
if not _is_admin(e_context):
if not Util.is_admin(e_context):
_set_reply_text("需要管理员权限执行", e_context, level=ReplyType.ERROR)
return
is_open = True
@@ -147,7 +146,7 @@ class LinkAI(Plugin):
if not context.kwargs.get("isgroup"):
_set_reply_text("该指令需在群聊中使用", e_context, level=ReplyType.ERROR)
return
if not _is_admin(e_context):
if not Util.is_admin(e_context):
_set_reply_text("需要管理员权限执行", e_context, level=ReplyType.ERROR)
return
app_code = cmd[2]
@@ -164,7 +163,7 @@ class LinkAI(Plugin):

if len(cmd) == 3 and cmd[1] == "sum" and (cmd[2] == "open" or cmd[2] == "close"):
# 知识库开关指令
if not _is_admin(e_context):
if not Util.is_admin(e_context):
_set_reply_text("需要管理员权限执行", e_context, level=ReplyType.ERROR)
return
is_open = True
@@ -253,23 +252,6 @@ def _send_info(e_context: EventContext, content: str):
channel = e_context["channel"]
channel.send(reply, e_context["context"])

# 静态方法
def _is_admin(e_context: EventContext) -> bool:
"""
判断消息是否由管理员用户发送
:param e_context: 消息上下文
:return: True: 是, False: 否
"""
context = e_context["context"]
if context["isgroup"]:
actual_user_id= context.kwargs.get("msg").actual_user_id
for admin_user in global_config["admin_users"]:
if actual_user_id and actual_user_id in admin_user:
return True
return False
else:
return context["receiver"] in global_config["admin_users"]


def _find_user_id(context):
if context["isgroup"]:
@@ -290,7 +272,8 @@ def _find_sum_id(context):
return USER_FILE_MAP.get(_find_user_id(context) + "-sum_id")

def _find_file_id(context):
return USER_FILE_MAP.get(_find_user_id(context) + "-file_id")

user_id = _find_user_id(context)
if user_id:
return USER_FILE_MAP.get(user_id + "-file_id")

USER_FILE_MAP = ExpiredDict(conf().get("expires_in_seconds") or 60 * 60)
USER_FILE_MAP = ExpiredDict(conf().get("expires_in_seconds") or 60 * 30)

+ 5
- 1
plugins/linkai/midjourney.py View File

@@ -8,6 +8,7 @@ from bridge.reply import Reply, ReplyType
import asyncio
from bridge.context import ContextType
from plugins import EventContext, EventAction
from .utils import Util

INVALID_REQUEST = 410
NOT_FOUND_ORIGIN_IMAGE = 461
@@ -48,7 +49,7 @@ task_name_mapping = {


class MJTask:
def __init__(self, id, user_id: str, task_type: TaskType, raw_prompt=None, expires: int = 60 * 30,
def __init__(self, id, user_id: str, task_type: TaskType, raw_prompt=None, expires: int = 60 * 6,
status=Status.PENDING):
self.id = id
self.user_id = user_id
@@ -113,6 +114,9 @@ class MJBot:
return

if len(cmd) == 2 and (cmd[1] == "open" or cmd[1] == "close"):
if not Util.is_admin(e_context):
Util.set_reply_text("需要管理员权限执行", e_context, level=ReplyType.ERROR)
return
# midjourney 开关指令
is_open = True
tips_text = "开启"


+ 28
- 0
plugins/linkai/utils.py View File

@@ -0,0 +1,28 @@
from config import global_config
from bridge.reply import Reply, ReplyType
from plugins.event import EventContext, EventAction


class Util:
@staticmethod
def is_admin(e_context: EventContext) -> bool:
"""
判断消息是否由管理员用户发送
:param e_context: 消息上下文
:return: True: 是, False: 否
"""
context = e_context["context"]
if context["isgroup"]:
actual_user_id = context.kwargs.get("msg").actual_user_id
for admin_user in global_config["admin_users"]:
if actual_user_id and actual_user_id in admin_user:
return True
return False
else:
return context["receiver"] in global_config["admin_users"]

@staticmethod
def set_reply_text(content: str, e_context: EventContext, level: ReplyType = ReplyType.ERROR):
reply = Reply(level, content)
e_context["reply"] = reply
e_context.action = EventAction.BREAK_PASS

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