Compare commits

..

75 Commits
1.3.6 ... 1.3.8

Author SHA1 Message Date
zhayujie
04d5c1ab01 Delete .github/ISSUE_TEMPLATE/config.yml 2023-09-15 15:45:23 +08:00
zhayujie
28be141dc7 Merge pull request #1422 from scut-chenzk/chenzk
修复接语音回复失效的问题
2023-09-15 15:14:00 +08:00
chenzk
652b786baf Merge branch 'zhayujie:master' into chenzk 2023-09-14 23:42:00 +08:00
chenzhenkun
ba6c671051 修复收到图片消息保存到本地失败的问题 2023-09-14 23:39:07 +08:00
chenzhenkun
ca25d0433f 修复接语音回复失效的问题 2023-09-14 17:52:11 +08:00
zhayujie
5338106dfa Merge pull request #1308 from leesonchen/master
企业服务号的语音输出进行切割
2023-09-12 18:18:17 +08:00
zhayujie
b6b76be4f6 fix: add summary plugin bot type 2023-09-06 16:50:23 +08:00
zhayujie
03d94fcfa0 fix: not enable user_image_create_prefix by default 2023-09-06 12:02:13 +08:00
zhayujie
b2c5f0d455 feat: mj use default config 2023-09-06 11:53:33 +08:00
zhayujie
54f60dd38c chore: remove dependencies that can only be used under windows 2023-09-04 11:14:48 +08:00
zhayujie
42f181aca2 Merge pull request #1394 from resphinas/claude_bot
Update claude_ai_bot.py
2023-09-04 10:47:02 +08:00
resphina
9c3a27894f Update claude_ai_bot.py 2023-09-03 19:12:27 +08:00
resphina
f7cd348912 Update claude_ai_bot.py 2023-09-03 19:04:43 +08:00
zhayujie
aeaeb75d3b Merge pull request #1396 from 6vision/master
Optimize image download and storage logic
2023-09-03 17:32:30 +08:00
vision
96542b532e Update requirements-optional.txt 2023-09-03 17:14:28 +08:00
vision
139295fe0d Update requirements-optional.txt
增加企微个人号channel所需依赖
2023-09-03 16:47:25 +08:00
vision
13217b2ce2 Merge pull request #1 from 6vision/patch-1
Optimize image download and storage logic
2023-09-03 16:35:01 +08:00
vision
5cc8b56a7c Optimize image download and storage logic
- Implement new compression logic for files larger than 10MB to improve storage efficiency.
- Switch from JPEG to PNG to enhance image quality and compatibility.
2023-09-03 16:29:19 +08:00
resphina
e23e01c95e Update claude_ai_bot.py 2023-09-03 15:40:08 +08:00
resphina
bca8ba12c7 Update claude_ai_bot.py 2023-09-03 15:22:25 +08:00
vision
3c44bdbe1c Update requirements-optional.txt 2023-09-03 15:10:05 +08:00
zhayujie
db93ed025b Merge branch 'master' of github.com:zhayujie/chatgpt-on-wechat 2023-09-02 21:50:28 +08:00
zhayujie
4209e108d0 fix: wework single chat no prefix circle reply 2023-09-02 21:49:43 +08:00
zhayujie
14cbf011af Merge pull request #1391 from resphinas/claude_bot
Rename claude_ai_session to claude_ai_session.py
2023-09-02 10:42:29 +08:00
resphina
03a41ec199 Rename claude_ai_session to claude_ai_session.py 2023-09-02 02:40:57 +08:00
zhayujie
125fe2a026 Merge pull request #1390 from scut-chenzk/chenzk
Chenzk
2023-09-01 19:42:21 +08:00
chenzhenkun
ac4adac29e 兼容微信艾特的情况 2023-09-01 19:37:19 +08:00
chenzhenkun
ac449d078e Merge remote-tracking branch 'origin/chenzk' into chenzk
# Conflicts:
#	channel/chat_channel.py
2023-09-01 19:22:02 +08:00
chenzhenkun
79be4530d4 防止命中前缀导致死循环的情况 2023-09-01 19:18:53 +08:00
chenzk
85ce52d70c Merge branch 'zhayujie:master' into chenzk 2023-09-01 18:57:52 +08:00
chenzhenkun
7ab56b9076 添加日志以方便定位问题 2023-09-01 18:56:24 +08:00
zhayujie
dedf976375 Merge pull request #1389 from scut-chenzk/chenzk
修复自己艾特自己会死循环的问题
2023-09-01 18:42:41 +08:00
chenzhenkun
89f438208a 修复自己艾特自己会死循环的问题 2023-09-01 18:39:31 +08:00
zhayujie
ffbc5080ae Merge pull request #1388 from resphinas/claude_bot
实现claude对接配置中的 共享上下文开关
2023-09-01 18:34:43 +08:00
resphina
4167f13bac Update README.md 2023-09-01 18:12:48 +08:00
resphina
6ba0baabb0 Update claude_ai_bot.py 2023-09-01 18:04:39 +08:00
resphina
081003df47 Update config.py 2023-09-01 17:55:09 +08:00
resphina
559194ffb2 Update config.py 2023-09-01 17:54:03 +08:00
resphina
97a26d4a46 Update README.md 2023-09-01 17:53:21 +08:00
resphina
503c6c9b7e Update claude_ai_bot.py 2023-09-01 17:31:30 +08:00
resphina
9a1e10deff Create claude_ai_session 2023-09-01 17:30:31 +08:00
zhayujie
054f927c05 fix: at_list bug in wechat channel 2023-09-01 13:45:04 +08:00
resphina
22210747d0 Update README.md 2023-09-01 12:40:09 +08:00
resphina
53b2deb72c 更新机器人相关接口文档说明 2023-09-01 12:38:58 +08:00
zhayujie
6fc158e7d6 hotfix: config.py format 2023-09-01 11:32:58 +08:00
zhayujie
a23a65c731 Merge pull request #1382 from resphinas/claude_bot
新增Claude聊天机器人接口(逆向cookie实现,稳定不失效)
2023-09-01 10:48:33 +08:00
resphina
7dc7105ee2 Update requirements-optional.txt 2023-09-01 10:32:33 +08:00
resphina
bac70108b2 Update requirements.txt 2023-09-01 10:32:03 +08:00
resphina
297404b21e Update config-template.json 2023-09-01 10:31:45 +08:00
resphina
33a7f8b558 Delete chatgpt-on-wechat-master.iml 2023-09-01 10:08:34 +08:00
resphina
4a670b7df7 Update config-template.json 2023-09-01 09:40:26 +08:00
resphina
79e4af315e Update log.py 2023-09-01 09:39:45 +08:00
resphina
c6e31b2fdc Update chat_gpt_bot.py 2023-09-01 09:39:08 +08:00
resphina
91dc44df53 Update const.py 2023-09-01 09:38:47 +08:00
resphina
7e57f8f157 Merge branch 'master' into claude_bot 2023-09-01 09:37:10 +08:00
zhayujie
15f6b7c6d3 Merge pull request #1385 from scut-chenzk/chenzk
支持wework企业微信机器人
2023-08-31 22:44:17 +08:00
chenzhenkun
b213ba541d 新增wework企业微信机器人支持插件功能 2023-08-31 21:02:00 +08:00
chenzhenkun
7c6ed9944e 支持wework企业微信机器人 2023-08-30 20:49:00 +08:00
resphinas
a5a825e439 system role remove 2023-08-29 06:45:21 +08:00
resphinas
a4ab547f77 proxy update 2023-08-29 05:59:59 +08:00
resphinas
76ed763abe proxy update 2023-08-29 05:58:39 +08:00
resphinas
b9e3125610 格式纠正2 2023-08-28 18:04:28 +08:00
resphina
8d9d5b7b6f Update claude_ai_bot.py 2023-08-28 17:40:27 +08:00
resphina
187601da1e Update config-template.json 2023-08-28 17:30:03 +08:00
resphina
cc3a0fc367 Update config-template.json 2023-08-28 17:28:13 +08:00
resphinas
44cc4165d1 claude_bot 2023-08-28 17:22:20 +08:00
resphinas
f98b43514e claude_bot 2023-08-28 17:18:00 +08:00
resphinas
3c9b1a14e9 claude bot update 2023-08-28 16:43:26 +08:00
zhayujie
827e8eddf8 chore: remove dockerhub in arm build 2023-08-27 12:28:10 +08:00
zhayujie
7bc27d6167 fix: remove docker hub register in arm build 2023-08-27 12:10:08 +08:00
zhayujie
ba06edd63a fix: remove pysilk_mod 2023-08-26 17:32:52 +08:00
zhayujie
cacf553a5b feat: add arm workflows 2023-08-26 17:17:03 +08:00
zhayujie
d89091a8ea fix: git action deploy 2023-08-26 14:14:32 +08:00
zhayujie
01a56e1155 feat: try arm docker image 2023-08-26 12:45:16 +08:00
leeson
8224c2fc16 企业服务号的语音输出进行切割 2023-07-08 23:58:07 +08:00
26 changed files with 1015 additions and 50 deletions

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@@ -1,6 +0,0 @@
blank_issues_enabled: false
contact_links:
- name: 知识星球
url: https://public.zsxq.com/groups/88885848842852.html
about: 如果你想了解更多项目细节并与开发者们交流更多关于AI技术的实践欢迎加入星球

71
.github/workflows/deploy-image-arm.yml vendored Normal file
View File

@@ -0,0 +1,71 @@
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.
# GitHub recommends pinning actions to a commit SHA.
# To get a newer version, you will need to update the SHA.
# You can also reference a tag or branch, but the action may change without warning.
name: Create and publish a Docker image
on:
push:
branches: ['master']
create:
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
jobs:
build-and-push-image:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- name: Checkout repository
uses: actions/checkout@v3
- name: Set up QEMU
uses: docker/setup-qemu-action@v1
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v1
- name: Available platforms
run: echo ${{ steps.buildx.outputs.platforms }}
- name: Log in to the Container registry
uses: docker/login-action@v2
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@v4
with:
images: |
${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
- name: Build and push Docker image
uses: docker/build-push-action@v3
with:
context: .
push: true
file: ./docker/Dockerfile.latest
platforms: linux/arm64
tags: ${{ steps.meta.outputs.tags }}-arm64
labels: ${{ steps.meta.outputs.labels }}
- uses: actions/delete-package-versions@v4
with:
package-name: 'chatgpt-on-wechat'
package-type: 'container'
min-versions-to-keep: 10
delete-only-untagged-versions: 'true'
token: ${{ secrets.GITHUB_TOKEN }}

View File

@@ -5,7 +5,7 @@
最新版本支持的功能如下:
- [x] **多端部署:** 有多种部署方式可选择且功能完备,目前已支持个人微信,微信公众号和企业微信应用等部署方式
- [x] **基础对话:** 私聊及群聊的消息智能回复,支持多轮会话上下文记忆,支持 GPT-3, GPT-3.5, GPT-4, 文心一言, 讯飞星火
- [x] **基础对话:** 私聊及群聊的消息智能回复,支持多轮会话上下文记忆,支持 GPT-3.5, GPT-4, claude, 文心一言, 讯飞星火
- [x] **语音识别:** 可识别语音消息,通过文字或语音回复,支持 azure, baidu, google, openai等多种语音模型
- [x] **图片生成:** 支持图片生成 和 图生图(如照片修复),可选择 Dell-E, stable diffusion, replicate, midjourney模型
- [x] **丰富插件:** 支持个性化插件扩展,已实现多角色切换、文字冒险、敏感词过滤、聊天记录总结等插件
@@ -27,6 +27,7 @@ Demo made by [Visionn](https://www.wangpc.cc/)
<img width="240" src="./docs/images/contact.jpg">
# 更新日志
>**2023.09.01** 增加 [企微个人号](#1385) 通道,[claude](1388),讯飞星火模型
>**2023.08.08** 接入百度文心一言模型,通过 [插件](https://github.com/zhayujie/chatgpt-on-wechat/tree/master/plugins/linkai) 支持 Midjourney 绘图
@@ -157,7 +158,7 @@ pip3 install azure-cognitiveservices-speech
**4.其他配置**
+ `model`: 模型名称,目前支持 `gpt-3.5-turbo`, `text-davinci-003`, `gpt-4`, `gpt-4-32k`, `wenxin` (其中gpt-4 api暂未完全开放申请通过后可使用)
+ `model`: 模型名称,目前支持 `gpt-3.5-turbo`, `text-davinci-003`, `gpt-4`, `gpt-4-32k`, `wenxin` , `claude` , `xunfei`(其中gpt-4 api暂未完全开放申请通过后可使用)
+ `temperature`,`frequency_penalty`,`presence_penalty`: Chat API接口参数详情参考[OpenAI官方文档。](https://platform.openai.com/docs/api-reference/chat)
+ `proxy`:由于目前 `openai` 接口国内无法访问,需配置代理客户端的地址,详情参考 [#351](https://github.com/zhayujie/chatgpt-on-wechat/issues/351)
+ 对于图像生成,在满足个人或群组触发条件外,还需要额外的关键词前缀来触发,对应配置 `image_create_prefix `

2
app.py
View File

@@ -43,7 +43,7 @@ def run():
# os.environ['WECHATY_PUPPET_SERVICE_ENDPOINT'] = '127.0.0.1:9001'
channel = channel_factory.create_channel(channel_name)
if channel_name in ["wx", "wxy", "terminal", "wechatmp", "wechatmp_service", "wechatcom_app"]:
if channel_name in ["wx", "wxy", "terminal", "wechatmp", "wechatmp_service", "wechatcom_app", "wework"]:
PluginManager().load_plugins()
# startup channel

View File

@@ -39,4 +39,8 @@ def create_bot(bot_type):
elif bot_type == const.LINKAI:
from bot.linkai.link_ai_bot import LinkAIBot
return LinkAIBot()
elif bot_type == const.CLAUDEAI:
from bot.claude.claude_ai_bot import ClaudeAIBot
return ClaudeAIBot()
raise RuntimeError

222
bot/claude/claude_ai_bot.py Normal file
View File

@@ -0,0 +1,222 @@
import re
import time
import json
import uuid
from curl_cffi import requests
from bot.bot import Bot
from bot.claude.claude_ai_session import ClaudeAiSession
from bot.openai.open_ai_image import OpenAIImage
from bot.session_manager import SessionManager
from bridge.context import Context, ContextType
from bridge.reply import Reply, ReplyType
from common.log import logger
from config import conf
class ClaudeAIBot(Bot, OpenAIImage):
def __init__(self):
super().__init__()
self.sessions = SessionManager(ClaudeAiSession, model=conf().get("model") or "gpt-3.5-turbo")
self.claude_api_cookie = conf().get("claude_api_cookie")
self.proxy = conf().get("proxy")
self.con_uuid_dic = {}
if self.proxy:
self.proxies = {
"http": self.proxy,
"https": self.proxy
}
else:
self.proxies = None
self.error = ""
self.org_uuid = self.get_organization_id()
def generate_uuid(self):
random_uuid = uuid.uuid4()
random_uuid_str = str(random_uuid)
formatted_uuid = f"{random_uuid_str[0:8]}-{random_uuid_str[9:13]}-{random_uuid_str[14:18]}-{random_uuid_str[19:23]}-{random_uuid_str[24:]}"
return formatted_uuid
def reply(self, query, context: Context = None) -> Reply:
if context.type == ContextType.TEXT:
return self._chat(query, context)
elif context.type == ContextType.IMAGE_CREATE:
ok, res = self.create_img(query, 0)
if ok:
reply = Reply(ReplyType.IMAGE_URL, res)
else:
reply = Reply(ReplyType.ERROR, res)
return reply
else:
reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
return reply
def get_organization_id(self):
url = "https://claude.ai/api/organizations"
headers = {
'User-Agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0',
'Accept-Language': 'en-US,en;q=0.5',
'Referer': 'https://claude.ai/chats',
'Content-Type': 'application/json',
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'Connection': 'keep-alive',
'Cookie': f'{self.claude_api_cookie}'
}
try:
response = requests.get(url, headers=headers, impersonate="chrome110", proxies =self.proxies, timeout=400)
res = json.loads(response.text)
uuid = res[0]['uuid']
except:
if "App unavailable" in response.text:
logger.error("IP error: The IP is not allowed to be used on Claude")
self.error = "ip所在地区不被claude支持"
elif "Invalid authorization" in response.text:
logger.error("Cookie error: Invalid authorization of claude, check cookie please.")
self.error = "无法通过claude身份验证请检查cookie"
return None
return uuid
def conversation_share_check(self,session_id):
if conf().get("claude_uuid") is not None and conf().get("claude_uuid") != "":
con_uuid = conf().get("claude_uuid")
return con_uuid
if session_id not in self.con_uuid_dic:
self.con_uuid_dic[session_id] = self.generate_uuid()
self.create_new_chat(self.con_uuid_dic[session_id])
return self.con_uuid_dic[session_id]
def check_cookie(self):
flag = self.get_organization_id()
return flag
def create_new_chat(self, con_uuid):
"""
新建claude对话实体
:param con_uuid: 对话id
:return:
"""
url = f"https://claude.ai/api/organizations/{self.org_uuid}/chat_conversations"
payload = json.dumps({"uuid": con_uuid, "name": ""})
headers = {
'User-Agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0',
'Accept-Language': 'en-US,en;q=0.5',
'Referer': 'https://claude.ai/chats',
'Content-Type': 'application/json',
'Origin': 'https://claude.ai',
'DNT': '1',
'Connection': 'keep-alive',
'Cookie': self.claude_api_cookie,
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'TE': 'trailers'
}
response = requests.post(url, headers=headers, data=payload, impersonate="chrome110", proxies=self.proxies, timeout=400)
# Returns JSON of the newly created conversation information
return response.json()
def _chat(self, query, context, retry_count=0) -> Reply:
"""
发起对话请求
:param query: 请求提示词
:param context: 对话上下文
:param retry_count: 当前递归重试次数
:return: 回复
"""
if retry_count >= 2:
# exit from retry 2 times
logger.warn("[CLAUDEAI] failed after maximum number of retry times")
return Reply(ReplyType.ERROR, "请再问我一次吧")
try:
session_id = context["session_id"]
if self.org_uuid is None:
return Reply(ReplyType.ERROR, self.error)
session = self.sessions.session_query(query, session_id)
con_uuid = self.conversation_share_check(session_id)
model = conf().get("model") or "gpt-3.5-turbo"
# remove system message
if session.messages[0].get("role") == "system":
if model == "wenxin" or model == "claude":
session.messages.pop(0)
logger.info(f"[CLAUDEAI] query={query}")
# do http request
base_url = "https://claude.ai"
payload = json.dumps({
"completion": {
"prompt": f"{query}",
"timezone": "Asia/Kolkata",
"model": "claude-2"
},
"organization_uuid": f"{self.org_uuid}",
"conversation_uuid": f"{con_uuid}",
"text": f"{query}",
"attachments": []
})
headers = {
'User-Agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0',
'Accept': 'text/event-stream, text/event-stream',
'Accept-Language': 'en-US,en;q=0.5',
'Referer': 'https://claude.ai/chats',
'Content-Type': 'application/json',
'Origin': 'https://claude.ai',
'DNT': '1',
'Connection': 'keep-alive',
'Cookie': f'{self.claude_api_cookie}',
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'TE': 'trailers'
}
res = requests.post(base_url + "/api/append_message", headers=headers, data=payload,impersonate="chrome110",proxies= self.proxies,timeout=400)
if res.status_code == 200 or "pemission" in res.text:
# execute success
decoded_data = res.content.decode("utf-8")
decoded_data = re.sub('\n+', '\n', decoded_data).strip()
data_strings = decoded_data.split('\n')
completions = []
for data_string in data_strings:
json_str = data_string[6:].strip()
data = json.loads(json_str)
if 'completion' in data:
completions.append(data['completion'])
reply_content = ''.join(completions)
if "rate limi" in reply_content:
logger.error("rate limit error: The conversation has reached the system speed limit and is synchronized with Cladue. Please go to the official website to check the lifting time")
return Reply(ReplyType.ERROR, "对话达到系统速率限制与cladue同步请进入官网查看解除限制时间")
logger.info(f"[CLAUDE] reply={reply_content}, total_tokens=invisible")
self.sessions.session_reply(reply_content, session_id, 100)
return Reply(ReplyType.TEXT, reply_content)
else:
flag = self.check_cookie()
if flag == None:
return Reply(ReplyType.ERROR, self.error)
response = res.json()
error = response.get("error")
logger.error(f"[CLAUDE] chat failed, status_code={res.status_code}, "
f"msg={error.get('message')}, type={error.get('type')}, detail: {res.text}, uuid: {con_uuid}")
if res.status_code >= 500:
# server error, need retry
time.sleep(2)
logger.warn(f"[CLAUDE] do retry, times={retry_count}")
return self._chat(query, context, retry_count + 1)
return Reply(ReplyType.ERROR, "提问太快啦,请休息一下再问我吧")
except Exception as e:
logger.exception(e)
# retry
time.sleep(2)
logger.warn(f"[CLAUDE] do retry, times={retry_count}")
return self._chat(query, context, retry_count + 1)

View File

@@ -0,0 +1,9 @@
from bot.session_manager import Session
class ClaudeAiSession(Session):
def __init__(self, session_id, system_prompt=None, model="claude"):
super().__init__(session_id, system_prompt)
self.model = model
# claude逆向不支持role prompt
# self.reset()

View File

@@ -23,6 +23,7 @@ class LinkAIBot(Bot, OpenAIImage):
def __init__(self):
super().__init__()
self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "gpt-3.5-turbo")
self.args = {}
def reply(self, query, context: Context = None) -> Reply:
if context.type == ContextType.TEXT:
@@ -72,7 +73,7 @@ class LinkAIBot(Bot, OpenAIImage):
body = {
"app_code": app_code,
"messages": session.messages,
"model": model, # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin
"model": model, # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei
"temperature": conf().get("temperature"),
"top_p": conf().get("top_p", 1),
"frequency_penalty": conf().get("frequency_penalty", 0.0), # [-2,2]之间,该值越大则更倾向于产生不同的内容
@@ -114,3 +115,68 @@ class LinkAIBot(Bot, OpenAIImage):
time.sleep(2)
logger.warn(f"[LINKAI] do retry, times={retry_count}")
return self._chat(query, context, retry_count + 1)
def reply_text(self, session: ChatGPTSession, app_code="", retry_count=0) -> dict:
if retry_count >= 2:
# exit from retry 2 times
logger.warn("[LINKAI] failed after maximum number of retry times")
return {
"total_tokens": 0,
"completion_tokens": 0,
"content": "请再问我一次吧"
}
try:
body = {
"app_code": app_code,
"messages": session.messages,
"model": conf().get("model") or "gpt-3.5-turbo", # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei
"temperature": conf().get("temperature"),
"top_p": conf().get("top_p", 1),
"frequency_penalty": conf().get("frequency_penalty", 0.0), # [-2,2]之间,该值越大则更倾向于产生不同的内容
"presence_penalty": conf().get("presence_penalty", 0.0), # [-2,2]之间,该值越大则更倾向于产生不同的内容
}
if self.args.get("max_tokens"):
body["max_tokens"] = self.args.get("max_tokens")
headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
# do http request
base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
res = requests.post(url=base_url + "/v1/chat/completions", json=body, headers=headers,
timeout=conf().get("request_timeout", 180))
if res.status_code == 200:
# execute success
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}")
return {
"total_tokens": total_tokens,
"completion_tokens": response["usage"]["completion_tokens"],
"content": reply_content,
}
else:
response = res.json()
error = response.get("error")
logger.error(f"[LINKAI] chat failed, status_code={res.status_code}, "
f"msg={error.get('message')}, type={error.get('type')}")
if res.status_code >= 500:
# server error, need retry
time.sleep(2)
logger.warn(f"[LINKAI] do retry, times={retry_count}")
return self.reply_text(session, app_code, retry_count + 1)
return {
"total_tokens": 0,
"completion_tokens": 0,
"content": "提问太快啦,请休息一下再问我吧"
}
except Exception as e:
logger.exception(e)
# retry
time.sleep(2)
logger.warn(f"[LINKAI] do retry, times={retry_count}")
return self.reply_text(session, app_code, retry_count + 1)

View File

@@ -29,6 +29,8 @@ class Bridge(object):
self.btype["chat"] = const.XUNFEI
if conf().get("use_linkai") and conf().get("linkai_api_key"):
self.btype["chat"] = const.LINKAI
if model_type in ["claude"]:
self.btype["chat"] = const.CLAUDEAI
self.bots = {}
def get_bot(self, typename):

View File

@@ -7,9 +7,13 @@ class ContextType(Enum):
TEXT = 1 # 文本消息
VOICE = 2 # 音频消息
IMAGE = 3 # 图片消息
FILE = 4 # 文件信息
VIDEO = 5 # 视频信息
IMAGE_CREATE = 10 # 创建图片命令
JOIN_GROUP = 20 # 加入群聊
PATPAT = 21 # 拍了拍
FUNCTION = 22 # 函数调用
def __str__(self):
return self.name

View File

@@ -8,9 +8,15 @@ class ReplyType(Enum):
VOICE = 2 # 音频文件
IMAGE = 3 # 图片文件
IMAGE_URL = 4 # 图片URL
VIDEO_URL = 5 # 视频URL
FILE = 6 # 文件
CARD = 7 # 微信名片仅支持ntchat
InviteRoom = 8 # 邀请好友进群
INFO = 9
ERROR = 10
TEXT_ = 11 # 强制文本
VIDEO = 12
MINIAPP = 13 # 小程序
def __str__(self):
return self.name

View File

@@ -33,4 +33,8 @@ def create_channel(channel_type):
from channel.wechatcom.wechatcomapp_channel import WechatComAppChannel
return WechatComAppChannel()
elif channel_type == "wework":
from channel.wework.wework_channel import WeworkChannel
return WeworkChannel()
raise RuntimeError

View File

@@ -99,21 +99,26 @@ class ChatChannel(Channel):
match_prefix = check_prefix(content, conf().get("group_chat_prefix"))
match_contain = check_contain(content, conf().get("group_chat_keyword"))
flag = False
if match_prefix is not None or match_contain is not None:
flag = True
if match_prefix:
content = content.replace(match_prefix, "", 1).strip()
if context["msg"].is_at:
logger.info("[WX]receive group at")
if not conf().get("group_at_off", False):
if context["msg"].to_user_id != context["msg"].actual_user_id:
if match_prefix is not None or match_contain is not None:
flag = True
pattern = f"@{re.escape(self.name)}(\u2005|\u0020)"
subtract_res = re.sub(pattern, r"", content)
if subtract_res == content and context["msg"].self_display_name:
# 前缀移除后没有变化,使用群昵称再次移除
pattern = f"@{re.escape(context['msg'].self_display_name)}(\u2005|\u0020)"
if match_prefix:
content = content.replace(match_prefix, "", 1).strip()
if context["msg"].is_at:
logger.info("[WX]receive group at")
if not conf().get("group_at_off", False):
flag = True
pattern = f"@{re.escape(self.name)}(\u2005|\u0020)"
subtract_res = re.sub(pattern, r"", content)
content = subtract_res
if isinstance(context["msg"].at_list, list):
for at in context["msg"].at_list:
pattern = f"@{re.escape(at)}(\u2005|\u0020)"
subtract_res = re.sub(pattern, r"", subtract_res)
if subtract_res == content and context["msg"].self_display_name:
# 前缀移除后没有变化,使用群昵称再次移除
pattern = f"@{re.escape(context['msg'].self_display_name)}(\u2005|\u0020)"
subtract_res = re.sub(pattern, r"", content)
content = subtract_res
if not flag:
if context["origin_ctype"] == ContextType.VOICE:
logger.info("[WX]receive group voice, but checkprefix didn't match")
@@ -197,7 +202,10 @@ class ChatChannel(Channel):
reply = self._generate_reply(new_context)
else:
return
elif context.type == ContextType.IMAGE: # 图片消息,当前无默认逻辑
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.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:
logger.error("[WX] unknown context type: {}".format(context.type))

View File

@@ -53,6 +53,7 @@ class ChatMessage(object):
is_at = False
actual_user_id = None
actual_user_nickname = None
at_list = None
_prepare_fn = None
_prepared = False
@@ -67,7 +68,7 @@ class ChatMessage(object):
self._prepare_fn()
def __str__(self):
return "ChatMessage: id={}, create_time={}, ctype={}, content={}, from_user_id={}, from_user_nickname={}, to_user_id={}, to_user_nickname={}, other_user_id={}, other_user_nickname={}, is_group={}, is_at={}, actual_user_id={}, actual_user_nickname={}".format(
return "ChatMessage: id={}, create_time={}, ctype={}, content={}, from_user_id={}, from_user_nickname={}, to_user_id={}, to_user_nickname={}, other_user_id={}, other_user_nickname={}, is_group={}, is_at={}, actual_user_id={}, actual_user_nickname={}, at_list={}".format(
self.msg_id,
self.create_time,
self.ctype,
@@ -82,4 +83,5 @@ class ChatMessage(object):
self.is_at,
self.actual_user_id,
self.actual_user_nickname,
self.at_list
)

View File

@@ -20,7 +20,7 @@ from common.log import logger
from common.singleton import singleton
from common.utils import split_string_by_utf8_length
from config import conf
from voice.audio_convert import any_to_mp3
from voice.audio_convert import any_to_mp3, split_audio
# If using SSL, uncomment the following lines, and modify the certificate path.
# from cheroot.server import HTTPServer
@@ -162,13 +162,28 @@ class WechatMPChannel(ChatChannel):
file_name = os.path.basename(file_path)
file_type = "audio/mpeg"
logger.info("[wechatmp] file_name: {}, file_type: {} ".format(file_name, file_type))
# support: <2M, <60s, AMR\MP3
response = self.client.media.upload("voice", (file_name, open(file_path, "rb"), file_type))
logger.debug("[wechatmp] upload voice response: {}".format(response))
media_ids = []
duration, files = split_audio(file_path, 60 * 1000)
if len(files) > 1:
logger.info("[wechatmp] voice too long {}s > 60s , split into {} parts".format(duration / 1000.0, len(files)))
for path in files:
# support: <2M, <60s, AMR\MP3
response = self.client.media.upload("voice", (os.path.basename(path), open(path, "rb"), file_type))
logger.debug("[wechatcom] upload voice response: {}".format(response))
media_ids.append(response["media_id"])
os.remove(path)
except WeChatClientException as e:
logger.error("[wechatmp] upload voice failed: {}".format(e))
return
self.client.message.send_voice(receiver, response["media_id"])
try:
os.remove(file_path)
except Exception:
pass
for media_id in media_ids:
self.client.message.send_voice(receiver, media_id)
time.sleep(1)
logger.info("[wechatmp] Do send voice to {}".format(receiver))
elif reply.type == ReplyType.IMAGE_URL: # 从网络下载图片
img_url = reply.content

17
channel/wework/run.py Normal file
View File

@@ -0,0 +1,17 @@
import os
import time
os.environ['ntwork_LOG'] = "ERROR"
import ntwork
wework = ntwork.WeWork()
def forever():
try:
while True:
time.sleep(0.1)
except KeyboardInterrupt:
ntwork.exit_()
os._exit(0)

View File

@@ -0,0 +1,326 @@
import io
import os
import random
import tempfile
import threading
os.environ['ntwork_LOG'] = "ERROR"
import ntwork
import requests
import uuid
from bridge.context import *
from bridge.reply import *
from channel.chat_channel import ChatChannel
from channel.wework.wework_message import *
from channel.wework.wework_message import WeworkMessage
from common.singleton import singleton
from common.log import logger
from common.time_check import time_checker
from common.utils import compress_imgfile, fsize
from config import conf
from channel.wework.run import wework
from channel.wework import run
from PIL import Image
def get_wxid_by_name(room_members, group_wxid, name):
if group_wxid in room_members:
for member in room_members[group_wxid]['member_list']:
if member['room_nickname'] == name or member['username'] == name:
return member['user_id']
return None # 如果没有找到对应的group_wxid或name则返回None
def download_and_compress_image(url, filename, quality=30):
# 确定保存图片的目录
directory = os.path.join(os.getcwd(), "tmp")
# 如果目录不存在,则创建目录
if not os.path.exists(directory):
os.makedirs(directory)
# 下载图片
pic_res = requests.get(url, stream=True)
image_storage = io.BytesIO()
for block in pic_res.iter_content(1024):
image_storage.write(block)
# 检查图片大小并可能进行压缩
sz = fsize(image_storage)
if sz >= 10 * 1024 * 1024: # 如果图片大于 10 MB
logger.info("[wework] image too large, ready to compress, sz={}".format(sz))
image_storage = compress_imgfile(image_storage, 10 * 1024 * 1024 - 1)
logger.info("[wework] image compressed, sz={}".format(fsize(image_storage)))
# 将内存缓冲区的指针重置到起始位置
image_storage.seek(0)
# 读取并保存图片
image = Image.open(image_storage)
image_path = os.path.join(directory, f"{filename}.png")
image.save(image_path, "png")
return image_path
def download_video(url, filename):
# 确定保存视频的目录
directory = os.path.join(os.getcwd(), "tmp")
# 如果目录不存在,则创建目录
if not os.path.exists(directory):
os.makedirs(directory)
# 下载视频
response = requests.get(url, stream=True)
total_size = 0
video_path = os.path.join(directory, f"{filename}.mp4")
with open(video_path, 'wb') as f:
for block in response.iter_content(1024):
total_size += len(block)
# 如果视频的总大小超过30MB (30 * 1024 * 1024 bytes),则停止下载并返回
if total_size > 30 * 1024 * 1024:
logger.info("[WX] Video is larger than 30MB, skipping...")
return None
f.write(block)
return video_path
def create_message(wework_instance, message, is_group):
logger.debug(f"正在为{'群聊' if is_group else '单聊'}创建 WeworkMessage")
cmsg = WeworkMessage(message, wework=wework_instance, is_group=is_group)
logger.debug(f"cmsg:{cmsg}")
return cmsg
def handle_message(cmsg, is_group):
logger.debug(f"准备用 WeworkChannel 处理{'群聊' if is_group else '单聊'}消息")
if is_group:
WeworkChannel().handle_group(cmsg)
else:
WeworkChannel().handle_single(cmsg)
logger.debug(f"已用 WeworkChannel 处理完{'群聊' if is_group else '单聊'}消息")
def _check(func):
def wrapper(self, cmsg: ChatMessage):
msgId = cmsg.msg_id
create_time = cmsg.create_time # 消息时间戳
if create_time is None:
return func(self, cmsg)
if int(create_time) < int(time.time()) - 60: # 跳过1分钟前的历史消息
logger.debug("[WX]history message {} skipped".format(msgId))
return
return func(self, cmsg)
return wrapper
@wework.msg_register(
[ntwork.MT_RECV_TEXT_MSG, ntwork.MT_RECV_IMAGE_MSG, 11072, ntwork.MT_RECV_VOICE_MSG])
def all_msg_handler(wework_instance: ntwork.WeWork, message):
logger.debug(f"收到消息: {message}")
if 'data' in message:
# 首先查找conversation_id如果没有找到则查找room_conversation_id
conversation_id = message['data'].get('conversation_id', message['data'].get('room_conversation_id'))
if conversation_id is not None:
is_group = "R:" in conversation_id
try:
cmsg = create_message(wework_instance=wework_instance, message=message, is_group=is_group)
except NotImplementedError as e:
logger.error(f"[WX]{message.get('MsgId', 'unknown')} 跳过: {e}")
return None
delay = random.randint(1, 2)
timer = threading.Timer(delay, handle_message, args=(cmsg, is_group))
timer.start()
else:
logger.debug("消息数据中无 conversation_id")
return None
return None
def accept_friend_with_retries(wework_instance, user_id, corp_id):
result = wework_instance.accept_friend(user_id, corp_id)
logger.debug(f'result:{result}')
# @wework.msg_register(ntwork.MT_RECV_FRIEND_MSG)
# def friend(wework_instance: ntwork.WeWork, message):
# data = message["data"]
# user_id = data["user_id"]
# corp_id = data["corp_id"]
# logger.info(f"接收到好友请求,消息内容:{data}")
# delay = random.randint(1, 180)
# threading.Timer(delay, accept_friend_with_retries, args=(wework_instance, user_id, corp_id)).start()
#
# return None
def get_with_retry(get_func, max_retries=5, delay=5):
retries = 0
result = None
while retries < max_retries:
result = get_func()
if result:
break
logger.warning(f"获取数据失败,重试第{retries + 1}次······")
retries += 1
time.sleep(delay) # 等待一段时间后重试
return result
@singleton
class WeworkChannel(ChatChannel):
NOT_SUPPORT_REPLYTYPE = []
def __init__(self):
super().__init__()
def startup(self):
smart = conf().get("wework_smart", True)
wework.open(smart)
logger.info("等待登录······")
wework.wait_login()
login_info = wework.get_login_info()
self.user_id = login_info['user_id']
self.name = login_info['nickname']
logger.info(f"登录信息:>>>user_id:{self.user_id}>>>>>>>>name:{self.name}")
logger.info("静默延迟60s等待客户端刷新数据请勿进行任何操作······")
time.sleep(60)
contacts = get_with_retry(wework.get_external_contacts)
rooms = get_with_retry(wework.get_rooms)
directory = os.path.join(os.getcwd(), "tmp")
if not contacts or not rooms:
logger.error("获取contacts或rooms失败程序退出")
ntwork.exit_()
os.exit(0)
if not os.path.exists(directory):
os.makedirs(directory)
# 将contacts保存到json文件中
with open(os.path.join(directory, 'wework_contacts.json'), 'w', encoding='utf-8') as f:
json.dump(contacts, f, ensure_ascii=False, indent=4)
with open(os.path.join(directory, 'wework_rooms.json'), 'w', encoding='utf-8') as f:
json.dump(rooms, f, ensure_ascii=False, indent=4)
# 创建一个空字典来保存结果
result = {}
# 遍历列表中的每个字典
for room in rooms['room_list']:
# 获取聊天室ID
room_wxid = room['conversation_id']
# 获取聊天室成员
room_members = wework.get_room_members(room_wxid)
# 将聊天室成员保存到结果字典中
result[room_wxid] = room_members
# 将结果保存到json文件中
with open(os.path.join(directory, 'wework_room_members.json'), 'w', encoding='utf-8') as f:
json.dump(result, f, ensure_ascii=False, indent=4)
logger.info("wework程序初始化完成········")
run.forever()
@time_checker
@_check
def handle_single(self, cmsg: ChatMessage):
if cmsg.from_user_id == cmsg.to_user_id:
# ignore self reply
return
if cmsg.ctype == ContextType.VOICE:
if not conf().get("speech_recognition"):
return
logger.debug("[WX]receive voice msg: {}".format(cmsg.content))
elif cmsg.ctype == ContextType.IMAGE:
logger.debug("[WX]receive image msg: {}".format(cmsg.content))
elif cmsg.ctype == ContextType.PATPAT:
logger.debug("[WX]receive patpat msg: {}".format(cmsg.content))
elif cmsg.ctype == ContextType.TEXT:
logger.debug("[WX]receive text msg: {}, cmsg={}".format(json.dumps(cmsg._rawmsg, ensure_ascii=False), cmsg))
else:
logger.debug("[WX]receive msg: {}, cmsg={}".format(cmsg.content, cmsg))
context = self._compose_context(cmsg.ctype, cmsg.content, isgroup=False, msg=cmsg)
if context:
self.produce(context)
@time_checker
@_check
def handle_group(self, cmsg: ChatMessage):
if cmsg.ctype == ContextType.VOICE:
if not conf().get("speech_recognition"):
return
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]:
logger.debug("[WX]receive note msg: {}".format(cmsg.content))
elif cmsg.ctype == ContextType.TEXT:
pass
else:
logger.debug("[WX]receive group msg: {}".format(cmsg.content))
context = self._compose_context(cmsg.ctype, cmsg.content, isgroup=True, msg=cmsg)
if context:
self.produce(context)
# 统一的发送函数每个Channel自行实现根据reply的type字段发送不同类型的消息
def send(self, reply: Reply, context: Context):
logger.debug(f"context: {context}")
receiver = context["receiver"]
actual_user_id = context["msg"].actual_user_id
if reply.type == ReplyType.TEXT or reply.type == ReplyType.TEXT_:
match = re.search(r"^@(.*?)\n", reply.content)
logger.debug(f"match: {match}")
if match:
new_content = re.sub(r"^@(.*?)\n", "\n", reply.content)
at_list = [actual_user_id]
logger.debug(f"new_content: {new_content}")
wework.send_room_at_msg(receiver, new_content, at_list)
else:
wework.send_text(receiver, reply.content)
logger.info("[WX] sendMsg={}, receiver={}".format(reply, receiver))
elif reply.type == ReplyType.ERROR or reply.type == ReplyType.INFO:
wework.send_text(receiver, reply.content)
logger.info("[WX] sendMsg={}, receiver={}".format(reply, receiver))
elif reply.type == ReplyType.IMAGE: # 从文件读取图片
image_storage = reply.content
image_storage.seek(0)
# Read data from image_storage
data = image_storage.read()
# Create a temporary file
with tempfile.NamedTemporaryFile(delete=False) as temp:
temp_path = temp.name
temp.write(data)
# Send the image
wework.send_image(receiver, temp_path)
logger.info("[WX] sendImage, receiver={}".format(receiver))
# Remove the temporary file
os.remove(temp_path)
elif reply.type == ReplyType.IMAGE_URL: # 从网络下载图片
img_url = reply.content
filename = str(uuid.uuid4())
# 调用你的函数,下载图片并保存为本地文件
image_path = download_and_compress_image(img_url, filename)
wework.send_image(receiver, file_path=image_path)
logger.info("[WX] sendImage url={}, receiver={}".format(img_url, receiver))
elif reply.type == ReplyType.VIDEO_URL:
video_url = reply.content
filename = str(uuid.uuid4())
video_path = download_video(video_url, filename)
if video_path is None:
# 如果视频太大,下载可能会被跳过,此时 video_path 将为 None
wework.send_text(receiver, "抱歉,视频太大了!!!")
else:
wework.send_video(receiver, video_path)
logger.info("[WX] sendVideo, receiver={}".format(receiver))
elif reply.type == ReplyType.VOICE:
current_dir = os.getcwd()
voice_file = reply.content.split("/")[-1]
reply.content = os.path.join(current_dir, "tmp", voice_file)
wework.send_file(receiver, reply.content)
logger.info("[WX] sendFile={}, receiver={}".format(reply.content, receiver))

View File

@@ -0,0 +1,188 @@
import datetime
import json
import os
import re
import time
import pilk
from bridge.context import ContextType
from channel.chat_message import ChatMessage
from common.log import logger
def get_with_retry(get_func, max_retries=5, delay=5):
retries = 0
result = None
while retries < max_retries:
result = get_func()
if result:
break
logger.warning(f"获取数据失败,重试第{retries + 1}次······")
retries += 1
time.sleep(delay) # 等待一段时间后重试
return result
def get_room_info(wework, conversation_id):
logger.debug(f"传入的 conversation_id: {conversation_id}")
rooms = wework.get_rooms()
if not rooms or 'room_list' not in rooms:
logger.error(f"获取群聊信息失败: {rooms}")
return None
time.sleep(1)
logger.debug(f"获取到的群聊信息: {rooms}")
for room in rooms['room_list']:
if room['conversation_id'] == conversation_id:
return room
return None
def cdn_download(wework, message, file_name):
data = message["data"]
aes_key = data["cdn"]["aes_key"]
file_size = data["cdn"]["size"]
file_type = 2
file_id = data["cdn"]["file_id"]
# 获取当前工作目录,然后与文件名拼接得到保存路径
current_dir = os.getcwd()
save_path = os.path.join(current_dir, "tmp", file_name)
result = wework.c2c_cdn_download(file_id, aes_key, file_size, file_type, save_path)
logger.debug(result)
def c2c_download_and_convert(wework, message, file_name):
data = message["data"]
aes_key = data["cdn"]["aes_key"]
file_size = data["cdn"]["size"]
file_type = 5
file_id = data["cdn"]["file_id"]
current_dir = os.getcwd()
save_path = os.path.join(current_dir, "tmp", file_name)
result = wework.c2c_cdn_download(file_id, aes_key, file_size, file_type, save_path)
logger.debug(result)
# 在下载完SILK文件之后立即将其转换为WAV文件
base_name, _ = os.path.splitext(save_path)
wav_file = base_name + ".wav"
pilk.silk_to_wav(save_path, wav_file, rate=24000)
# 删除SILK文件
try:
os.remove(save_path)
except Exception as e:
pass
class WeworkMessage(ChatMessage):
def __init__(self, wework_msg, wework, is_group=False):
try:
super().__init__(wework_msg)
self.msg_id = wework_msg['data'].get('conversation_id', wework_msg['data'].get('room_conversation_id'))
# 使用.get()防止 'send_time' 键不存在时抛出错误
self.create_time = wework_msg['data'].get("send_time")
self.is_group = is_group
self.wework = wework
if wework_msg["type"] == 11041: # 文本消息类型
if any(substring in wework_msg['data']['content'] for substring in ("该消息类型暂不能展示", "不支持的消息类型")):
return
self.ctype = ContextType.TEXT
self.content = wework_msg['data']['content']
elif wework_msg["type"] == 11044: # 语音消息类型,需要缓存文件
file_name = datetime.datetime.now().strftime('%Y%m%d%H%M%S') + ".silk"
base_name, _ = os.path.splitext(file_name)
file_name_2 = base_name + ".wav"
current_dir = os.getcwd()
self.ctype = ContextType.VOICE
self.content = os.path.join(current_dir, "tmp", file_name_2)
self._prepare_fn = lambda: c2c_download_and_convert(wework, wework_msg, file_name)
elif wework_msg["type"] == 11042: # 图片消息类型,需要下载文件
file_name = datetime.datetime.now().strftime('%Y%m%d%H%M%S') + ".jpg"
current_dir = os.getcwd()
self.ctype = ContextType.IMAGE
self.content = os.path.join(current_dir, "tmp", file_name)
self._prepare_fn = lambda: cdn_download(wework, wework_msg, file_name)
elif wework_msg["type"] == 11072: # 新成员入群通知
self.ctype = ContextType.JOIN_GROUP
member_list = wework_msg['data']['member_list']
self.actual_user_nickname = member_list[0]['name']
self.actual_user_id = member_list[0]['user_id']
self.content = f"{self.actual_user_nickname}加入了群聊!"
directory = os.path.join(os.getcwd(), "tmp")
rooms = get_with_retry(wework.get_rooms)
if not rooms:
logger.error("更新群信息失败···")
else:
result = {}
for room in rooms['room_list']:
# 获取聊天室ID
room_wxid = room['conversation_id']
# 获取聊天室成员
room_members = wework.get_room_members(room_wxid)
# 将聊天室成员保存到结果字典中
result[room_wxid] = room_members
with open(os.path.join(directory, 'wework_room_members.json'), 'w', encoding='utf-8') as f:
json.dump(result, f, ensure_ascii=False, indent=4)
logger.info("有新成员加入,已自动更新群成员列表缓存!")
else:
raise NotImplementedError(
"Unsupported message type: Type:{} MsgType:{}".format(wework_msg["type"], wework_msg["MsgType"]))
data = wework_msg['data']
login_info = self.wework.get_login_info()
logger.debug(f"login_info: {login_info}")
nickname = f"{login_info['username']}({login_info['nickname']})" if login_info['nickname'] else login_info['username']
user_id = login_info['user_id']
sender_id = data.get('sender')
conversation_id = data.get('conversation_id')
sender_name = data.get("sender_name")
self.from_user_id = user_id if sender_id == user_id else conversation_id
self.from_user_nickname = nickname if sender_id == user_id else sender_name
self.to_user_id = user_id
self.to_user_nickname = nickname
self.other_user_nickname = sender_name
self.other_user_id = conversation_id
if self.is_group:
conversation_id = data.get('conversation_id') or data.get('room_conversation_id')
self.other_user_id = conversation_id
if conversation_id:
room_info = get_room_info(wework=wework, conversation_id=conversation_id)
self.other_user_nickname = room_info.get('nickname', None) if room_info else None
at_list = data.get('at_list', [])
tmp_list = []
for at in at_list:
tmp_list.append(at['nickname'])
at_list = tmp_list
logger.debug(f"at_list: {at_list}")
logger.debug(f"nickname: {nickname}")
self.is_at = False
if nickname in at_list or login_info['nickname'] in at_list or login_info['username'] in at_list:
self.is_at = True
self.at_list = at_list
# 检查消息内容是否包含@用户名。处理复制粘贴的消息,这类消息可能不会触发@通知,但内容中可能包含 "@用户名"。
content = data.get('content', '')
name = nickname
pattern = f"@{re.escape(name)}(\u2005|\u0020)"
if re.search(pattern, content):
logger.debug(f"Wechaty message {self.msg_id} includes at")
self.is_at = True
if not self.actual_user_id:
self.actual_user_id = data.get("sender")
self.actual_user_nickname = sender_name if self.ctype != ContextType.JOIN_GROUP else self.actual_user_nickname
else:
logger.error("群聊消息中没有找到 conversation_id 或 room_conversation_id")
logger.debug(f"WeworkMessage has been successfully instantiated with message id: {self.msg_id}")
except Exception as e:
logger.error(f"在 WeworkMessage 的初始化过程中出现错误:{e}")
raise e

View File

@@ -8,4 +8,5 @@ LINKAI = "linkai"
VERSION = "1.3.0"
MODEL_LIST = ["gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-4", "wenxin", "xunfei"]
CLAUDEAI = "claude"
MODEL_LIST = ["gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-4", "wenxin", "xunfei","claude"]

View File

@@ -23,8 +23,8 @@ available_setting = {
# Bot触发配置
"single_chat_prefix": ["bot", "@bot"], # 私聊时文本需要包含该前缀才能触发机器人回复
"single_chat_reply_prefix": "[bot] ", # 私聊时自动回复的前缀,用于区分真人
"single_chat_reply_suffix": "", # 私聊时自动回复的后缀,\n 可以换行
"group_chat_prefix": ["@bot"], # 群聊时包含该前缀则会触发机器人回复
"single_chat_reply_suffix": "", # 私聊时自动回复的后缀,\n 可以换行
"group_chat_prefix": ["@bot"], # 群聊时包含该前缀则会触发机器人回复
"group_chat_reply_prefix": "", # 群聊时自动回复的前缀
"group_chat_reply_suffix": "", # 群聊时自动回复的后缀,\n 可以换行
"group_chat_keyword": [], # 群聊时包含该关键词则会触发机器人回复
@@ -59,6 +59,11 @@ available_setting = {
"xunfei_app_id": "", # 讯飞应用ID
"xunfei_api_key": "", # 讯飞 API key
"xunfei_api_secret": "", # 讯飞 API secret
# claude 配置
"claude_api_cookie": "",
"claude_uuid": "",
# wework的通用配置
"wework_smart": True, # 配置wework是否使用已登录的企业微信False为多开
# 语音设置
"speech_recognition": False, # 是否开启语音识别
"group_speech_recognition": False, # 是否开启群组语音识别
@@ -120,7 +125,7 @@ available_setting = {
"use_linkai": False,
"linkai_api_key": "",
"linkai_app_code": "",
"linkai_api_base": "https://api.link-ai.chat" # linkAI服务地址若国内无法访问或延迟较高可改为 https://api.link-ai.tech
"linkai_api_base": "https://api.link-ai.chat", # linkAI服务地址若国内无法访问或延迟较高可改为 https://api.link-ai.tech
}

View File

@@ -4,15 +4,15 @@
## 插件配置
`plugins/linkai` 目录下的 `config.json.template` 配置模板复制为最终生效的 `config.json`:
`plugins/linkai` 目录下的 `config.json.template` 配置模板复制为最终生效的 `config.json`。 (如果未配置则会默认使用`config.json.template`模板中配置,功能默认关闭,可通过指令进行开启)。
以下是配置项说明:
```bash
{
"group_app_map": { # 群聊 和 应用编码 的映射关系
"测试群1": "default", # 表示在名称为 "测试群1" 的群聊中将使用app_code 为 default 的应用
"测试群2": "Kv2fXJcH"
"测试群名称1": "default", # 表示在名称为 "测试群名称1" 的群聊中将使用app_code 为 default 的应用
"测试群名称2": "Kv2fXJcH"
},
"midjourney": {
"enabled": true, # midjourney 绘画开关
@@ -51,6 +51,8 @@
### 2.Midjourney绘画功能
若未配置 `plugins/linkai/config.json`,默认会关闭画图功能,直接使用 `$mj open` 可基于默认配置直接使用mj画图。
指令格式:
```
@@ -69,7 +71,9 @@
"$mjr 11055927171882"
```
注:
1. 开启 `use_image_create_prefix` 配置后可直接复用全局画图触发词,以"画"开头便可以生成图片。
2. 提示词内容中包含敏感词或者参数格式错误可能导致绘画失败,生成失败不消耗积分
3. 使用 `$mj open``$mj close` 指令可以快速打开和关闭绘图功能
意事项
1. 使用 `$mj open``$mj close` 指令可以快速打开和关闭绘图功能
2. 海外环境部署请将 `img_proxy` 设置为 `False`
3. 开启 `use_image_create_prefix` 配置后可直接复用全局画图触发词,以"画"开头便可以生成图片。
4. 提示词内容中包含敏感词或者参数格式错误可能导致绘画失败,生成失败不消耗积分
5. 若未收到图片可能有两种可能一种是收到了图片但微信发送失败可以在后台日志查看有没有获取到图片url一般原因是受到了wx限制可以稍后重试或更换账号尝试另一种情况是图片提示词存在疑似违规mj不会直接提示错误但会在画图后删掉原图导致程序无法获取这种情况不消耗积分。

View File

@@ -1,7 +1,7 @@
{
"group_app_map": {
"测试群1": "default",
"测试群2": "Kv2fXJcH"
"测试群1": "default",
"测试群2": "Kv2fXJcH"
},
"midjourney": {
"enabled": true,

View File

@@ -18,6 +18,9 @@ class LinkAI(Plugin):
super().__init__()
self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
self.config = super().load_config()
if not self.config:
# 未加载到配置,使用模板中的配置
self.config = self._load_config_template()
if self.config:
self.mj_bot = MJBot(self.config.get("midjourney"))
logger.info("[LinkAI] inited")
@@ -70,7 +73,7 @@ class LinkAI(Plugin):
is_open = False
conf()["use_linkai"] = is_open
bridge.Bridge().reset_bot()
_set_reply_text(f"知识库功能{tips_text}", e_context, level=ReplyType.INFO)
_set_reply_text(f"LinkAI对话功能{tips_text}", e_context, level=ReplyType.INFO)
return
if len(cmd) == 3 and cmd[1] == "app":
@@ -139,6 +142,17 @@ class LinkAI(Plugin):
help_text += f"\n\"{trigger_prefix}mjv 11055927171882 2\"\n\"{trigger_prefix}mjr 11055927171882\""
return help_text
def _load_config_template(self):
logger.debug("No LinkAI plugin config.json, use plugins/linkai/config.json.template")
try:
plugin_config_path = os.path.join(self.path, "config.json.template")
if os.path.exists(plugin_config_path):
with open(plugin_config_path, "r", encoding="utf-8") as f:
plugin_conf = json.load(f)
plugin_conf["midjourney"]["enabled"] = False
return plugin_conf
except Exception as e:
logger.exception(e)
# 静态方法
def _is_admin(e_context: EventContext) -> bool:

View File

@@ -96,7 +96,7 @@ class MJBot:
return TaskType.VARIATION
elif cmd_list[0].lower() == f"{trigger_prefix}mjr":
return TaskType.RESET
elif context.type == ContextType.IMAGE_CREATE and self.config.get("use_image_create_prefix"):
elif context.type == ContextType.IMAGE_CREATE and self.config.get("use_image_create_prefix") and self.config.get("enabled"):
return TaskType.GENERATE
def process_mj_task(self, mj_type: TaskType, e_context: EventContext):

View File

@@ -15,8 +15,8 @@ class Plugin:
"""
# 优先获取 plugins/config.json 中的全局配置
plugin_conf = pconf(self.name)
if not plugin_conf or not conf().get("use_global_plugin_config"):
# 全局配置不存在 或者 未开启全局配置开关,则获取插件目录下的配置
if not plugin_conf:
# 全局配置不存在,则获取插件目录下的配置
plugin_config_path = os.path.join(self.path, "config.json")
if os.path.exists(plugin_config_path):
with open(plugin_config_path, "r", encoding="utf-8") as f:

View File

@@ -16,15 +16,17 @@ dulwich
# wechaty
wechaty>=0.10.7
wechaty_puppet>=0.4.23
pysilk_mod>=1.6.0 # needed by send voice
# pysilk_mod>=1.6.0 # needed by send voice only in wechaty
# wechatmp wechatcom
web.py
wechatpy
# chatgpt-tool-hub plugin
--extra-index-url https://pypi.python.org/simple
chatgpt_tool_hub==0.4.6
# xunfei spark
websocket-client==1.2.0
# claude bot
curl_cffi