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43 Commits

Author SHA1 Message Date
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
18 changed files with 870 additions and 12 deletions
+71
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@@ -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 }}
+23 -2
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@@ -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, 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** 接入讯飞星火,claude机器人
>**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 `
@@ -175,6 +176,26 @@ pip3 install azure-cognitiveservices-speech
+ `linkai_api_key`: LinkAI Api Key,可在 [控制台](https://chat.link-ai.tech/console/interface) 创建
+ `linkai_app_code`: LinkAI 应用code,选填
**6.wenxin配置 (可选 model 为 wenxin 时生效)**
+ `baidu_wenxin_api_key`: 文心一言官网api key。
+ `baidu_wenxin_secret_key`: 文心一言官网secret key。
**6.Claude配置 (可选 model 为 claude 时生效)**
+ `claude_api_cookie`: claude官网聊天界面复制完整 cookie 字符串。
+ `claude_uuid`: 可以指定对话id,默认新建对话实体。
**7.xunfei配置 (可选 model 为 xunfei 时生效)**
+ `xunfei_app_id`: 讯飞星火app id。
+ `xunfei_api_key`: 讯飞星火 api key。
+ `xunfei_api_secret`: 讯飞星火 secret。
**本说明文档可能会未及时更新,当前所有可选的配置项均在该[`config.py`](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/config.py)中列出。**
## 运行
+1 -1
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@@ -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
+4
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@@ -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
+218
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@@ -0,0 +1,218 @@
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.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 get_uuid(self):
if conf().get("claude_uuid") != None:
self.con_uuid = conf().get("claude_uuid")
else:
con_uuid = self.generate_uuid()
self.create_new_chat(con_uuid)
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}'
}
response = requests.get(url, headers=headers,impersonate="chrome110",proxies=self.proxies)
res = json.loads(response.text)
uuid = res[0]['uuid']
return 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 )
res = json.loads(response.text)
uuid = res[0]['uuid']
except:
print(response.text)
return uuid
def conversation_share_check(self,session_id):
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 create_new_chat(self, con_uuid):
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)
# 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"]
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)
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:
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)
+9
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@@ -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()
+2
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@@ -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):
+4
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
+7 -1
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
+4
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
+7 -2
View File
@@ -103,12 +103,16 @@ class ChatChannel(Channel):
flag = True
if match_prefix:
content = content.replace(match_prefix, "", 1).strip()
if context["msg"].is_at:
if context["msg"].is_at and context["msg"].to_user_id != context["msg"].actual_user_id:
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)
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)"
@@ -197,7 +201,8 @@ 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 or context.type == ContextType.FUNCTION \
or context.type == ContextType.FILE: # 图片/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))
+3 -1
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@@ -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
)
+17
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)
+306
View File
@@ -0,0 +1,306 @@
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 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
response = requests.get(url)
image = Image.open(io.BytesIO(response.content))
# 压缩图片
image_path = os.path.join(directory, f"{filename}.jpg")
image.save(image_path, "JPEG", quality=quality)
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.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:
wework.send_file(receiver, reply.content)
logger.info("[WX] sendFile={}, receiver={}".format(reply.content, receiver))
+180
View File
@@ -0,0 +1,180 @@
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"]
url = data["cdn"]["url"]
auth_key = data["cdn"]["auth_key"]
aes_key = data["cdn"]["aes_key"]
file_size = data["cdn"]["size"]
# 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.wx_cdn_download(url, auth_key, aes_key, file_size, 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)
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 = nickname in at_list
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
+2 -1
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"]
+8 -3
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
}
+4 -1
View File
@@ -16,7 +16,7 @@ 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
@@ -28,3 +28,6 @@ chatgpt_tool_hub==0.4.6
# xunfei spark
websocket-client==1.2.0
# claude bot
curl_cffi