mirror of
https://github.com/langbot-app/LangBot.git
synced 2025-11-25 11:29:39 +08:00
Merge branch 'master' into version/4.0
This commit is contained in:
16
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
16
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
@@ -3,22 +3,6 @@ description: 报错或漏洞请使用这个模板创建,不使用此模板创
|
||||
title: "[Bug]: "
|
||||
labels: ["bug?"]
|
||||
body:
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: 消息平台适配器
|
||||
description: "接入的消息平台类型"
|
||||
options:
|
||||
- 其他(或暂未使用)
|
||||
- Nakuru(go-cqhttp)
|
||||
- aiocqhttp(使用 OneBot 协议接入的)
|
||||
- qq-botpy(QQ官方API WebSocket)
|
||||
- qqofficial(QQ官方API Webhook)
|
||||
- lark(飞书)
|
||||
- wecom(企业微信)
|
||||
- gewechat(个人微信)
|
||||
- discord
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: 运行环境
|
||||
|
||||
3
.gitignore
vendored
3
.gitignore
vendored
@@ -39,4 +39,5 @@ botpy.log*
|
||||
/poc
|
||||
/libs/wecom_api/test.py
|
||||
/venv
|
||||
/jp-tyo-churros-05.rockchin.top
|
||||
test.py
|
||||
/web_ui
|
||||
@@ -8,7 +8,7 @@
|
||||
|
||||
<a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
|
||||
<a href="https://docs.langbot.app">项目主页</a> |
|
||||
<a href="https://langbot.app">项目主页</a> |
|
||||
<a href="https://docs.langbot.app/insight/intro.html">功能介绍</a> |
|
||||
<a href="https://docs.langbot.app/insight/guide.html">部署文档</a> |
|
||||
<a href="https://docs.langbot.app/usage/faq.html">常见问题</a> |
|
||||
@@ -87,13 +87,14 @@
|
||||
| QQ 个人号 | ✅ | QQ 个人号私聊、群聊 |
|
||||
| QQ 官方机器人 | ✅ | QQ 官方机器人,支持频道、私聊、群聊 |
|
||||
| 企业微信 | ✅ | |
|
||||
| 企微对外客服 | ✅ | |
|
||||
| 个人微信 | ✅ | 使用 [Gewechat](https://github.com/Devo919/Gewechat) 接入 |
|
||||
| 微信公众号 | ✅ | |
|
||||
| 飞书 | ✅ | |
|
||||
| 钉钉 | ✅ | |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | 🚧 | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | 🚧 | |
|
||||
| WhatsApp | 🚧 | |
|
||||
|
||||
@@ -109,6 +110,7 @@
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [智谱AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 本地大模型运行平台 |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 |
|
||||
@@ -116,6 +118,7 @@
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
|
||||
| [阿里云百炼](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | 支持通过 MCP 协议获取工具 |
|
||||
|
||||
### TTS
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
|
||||
<a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
|
||||
<a href="https://docs.langbot.app">Home</a> |
|
||||
<a href="https://langbot.app">Home</a> |
|
||||
<a href="https://docs.langbot.app/insight/intro.html">Features</a> |
|
||||
<a href="https://docs.langbot.app/insight/guide.html">Deployment</a> |
|
||||
<a href="https://docs.langbot.app/usage/faq.html">FAQ</a> |
|
||||
@@ -45,6 +45,7 @@
|
||||
>
|
||||
> - Before you start deploying in any way, please read the [New User Guide](https://docs.langbot.app/insight/guide.html).
|
||||
> - All documentation is in Chinese, we will provide i18n version in the near future.
|
||||
> - Read [the auto-generated wiki on DeepWiki](https://deepwiki.com/RockChinQ/LangBot).
|
||||
|
||||
#### Docker Compose Deployment
|
||||
|
||||
@@ -85,12 +86,13 @@ Directly use the released version to run, see the [Manual Deployment](https://do
|
||||
| Personal QQ | ✅ | |
|
||||
| QQ Official API | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| Personal WeChat | ✅ | Use [Gewechat](https://github.com/Devo919/Gewechat) to access |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | 🚧 | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | 🚧 | |
|
||||
| WhatsApp | 🚧 | |
|
||||
|
||||
@@ -107,12 +109,14 @@ Directly use the released version to run, see the [Manual Deployment](https://do
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps platform |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM and GPU resource platform |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Local LLM running platform |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM gateway(MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS), LLMOps platform |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLM gateway(MaaS), LLMOps platform |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLM gateway(MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Support tool access through MCP protocol |
|
||||
|
||||
## 🤝 Community Contribution
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
|
||||
<a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
|
||||
<a href="https://docs.langbot.app">ホーム</a> |
|
||||
<a href="https://langbot.app">ホーム</a> |
|
||||
<a href="https://docs.langbot.app/insight/intro.html">機能</a> |
|
||||
<a href="https://docs.langbot.app/insight/guide.html">デプロイ</a> |
|
||||
<a href="https://docs.langbot.app/usage/faq.html">FAQ</a> |
|
||||
@@ -44,6 +44,7 @@
|
||||
>
|
||||
> - どのデプロイ方法を始める前に、必ず[新規ユーザーガイド](https://docs.langbot.app/insight/guide.html)をお読みください。
|
||||
> - すべてのドキュメントは中国語で提供されています。近い将来、i18nバージョンを提供する予定です。
|
||||
> - Read [the auto-generated wiki on DeepWiki](https://deepwiki.com/RockChinQ/LangBot)。
|
||||
|
||||
#### Docker Compose デプロイ
|
||||
|
||||
@@ -84,12 +85,13 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
| 個人QQ | ✅ | |
|
||||
| QQ公式API | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| 個人WeChat | ✅ | [Gewechat](https://github.com/Devo919/Gewechat)を使用して接続 |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | 🚧 | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | 🚧 | |
|
||||
| WhatsApp | 🚧 | |
|
||||
|
||||
@@ -105,6 +107,7 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOpsプラットフォーム |
|
||||
| [Ollama](https://ollama.com/) | ✅ | ローカルLLM実行プラットフォーム |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | ローカルLLM実行プラットフォーム |
|
||||
@@ -112,6 +115,7 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | MCPプロトコルをサポート |
|
||||
|
||||
## 🤝 コミュニティ貢献
|
||||
|
||||
@@ -8,6 +8,8 @@ services:
|
||||
- ./data:/app/data
|
||||
- ./plugins:/app/plugins
|
||||
restart: on-failure
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
ports:
|
||||
- 5300:5300 # 供 WebUI 使用
|
||||
- 2280-2290:2280-2290 # 供消息平台适配器方向连接
|
||||
|
||||
@@ -11,7 +11,12 @@ import traceback
|
||||
|
||||
class DingTalkClient:
|
||||
def __init__(
|
||||
self, client_id: str, client_secret: str, robot_name: str, robot_code: str
|
||||
self,
|
||||
client_id: str,
|
||||
client_secret: str,
|
||||
robot_name: str,
|
||||
robot_code: str,
|
||||
markdown_card: bool,
|
||||
):
|
||||
"""初始化 WebSocket 连接并自动启动"""
|
||||
self.credential = dingtalk_stream.Credential(client_id, client_secret)
|
||||
@@ -30,6 +35,7 @@ class DingTalkClient:
|
||||
self.robot_name = robot_name
|
||||
self.robot_code = robot_code
|
||||
self.access_token_expiry_time = ''
|
||||
self.markdown_card = markdown_card
|
||||
|
||||
async def get_access_token(self):
|
||||
url = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'
|
||||
@@ -114,7 +120,14 @@ class DingTalkClient:
|
||||
await self._handle_message(event)
|
||||
|
||||
async def send_message(self, content: str, incoming_message):
|
||||
self.EchoTextHandler.reply_text(content, incoming_message)
|
||||
if self.markdown_card:
|
||||
self.EchoTextHandler.reply_markdown(
|
||||
title=self.robot_name + '的回答',
|
||||
text=content,
|
||||
incoming_message=incoming_message,
|
||||
)
|
||||
else:
|
||||
self.EchoTextHandler.reply_text(content, incoming_message)
|
||||
|
||||
async def get_incoming_message(self):
|
||||
"""获取收到的消息"""
|
||||
|
||||
0
libs/slack_api/__init__.py
Normal file
0
libs/slack_api/__init__.py
Normal file
111
libs/slack_api/api.py
Normal file
111
libs/slack_api/api.py
Normal file
@@ -0,0 +1,111 @@
|
||||
import json
|
||||
from quart import Quart, jsonify,request
|
||||
from slack_sdk.web.async_client import AsyncWebClient
|
||||
from .slackevent import SlackEvent
|
||||
from typing import Callable, Dict, Any
|
||||
from pkg.platform.types import events as platform_events, message as platform_message
|
||||
|
||||
class SlackClient():
|
||||
|
||||
def __init__(self,bot_token:str,signing_secret:str):
|
||||
|
||||
self.bot_token = bot_token
|
||||
self.signing_secret = signing_secret
|
||||
self.app = Quart(__name__)
|
||||
self.client = AsyncWebClient(self.bot_token)
|
||||
self.app.add_url_rule('/callback/command', 'handle_callback', self.handle_callback_request, methods=['GET', 'POST'])
|
||||
self._message_handlers = {
|
||||
"example":[],
|
||||
}
|
||||
self.bot_user_id = None # 避免机器人回复自己的消息
|
||||
|
||||
async def handle_callback_request(self):
|
||||
try:
|
||||
body = await request.get_data()
|
||||
data = json.loads(body)
|
||||
if 'type' in data:
|
||||
if data['type'] == 'url_verification':
|
||||
return data['challenge']
|
||||
|
||||
bot_user_id = data.get("event",{}).get("bot_id","")
|
||||
|
||||
if self.bot_user_id and bot_user_id == self.bot_user_id:
|
||||
return jsonify({'status': 'ok'})
|
||||
|
||||
|
||||
# 处理私信
|
||||
if data and data.get("event", {}).get("channel_type") in ["im"]:
|
||||
event = SlackEvent.from_payload(data)
|
||||
await self._handle_message(event)
|
||||
return jsonify({'status': 'ok'})
|
||||
|
||||
#处理群聊
|
||||
if data.get("event",{}).get("type") == 'app_mention':
|
||||
data.setdefault("event", {})["channel_type"] = "channel"
|
||||
event = SlackEvent.from_payload(data)
|
||||
await self._handle_message(event)
|
||||
return jsonify({'status':'ok'})
|
||||
|
||||
return jsonify({'status': 'ok'})
|
||||
|
||||
except Exception as e:
|
||||
raise(e)
|
||||
|
||||
|
||||
|
||||
async def _handle_message(self, event: SlackEvent):
|
||||
"""
|
||||
处理消息事件。
|
||||
"""
|
||||
msg_type = event.type
|
||||
if msg_type in self._message_handlers:
|
||||
for handler in self._message_handlers[msg_type]:
|
||||
await handler(event)
|
||||
|
||||
def on_message(self, msg_type: str):
|
||||
"""注册消息类型处理器"""
|
||||
def decorator(func: Callable[[platform_events.Event], None]):
|
||||
if msg_type not in self._message_handlers:
|
||||
self._message_handlers[msg_type] = []
|
||||
self._message_handlers[msg_type].append(func)
|
||||
return func
|
||||
return decorator
|
||||
|
||||
async def send_message_to_channel(self,text:str,channel_id:str):
|
||||
try:
|
||||
response = await self.client.chat_postMessage(
|
||||
channel=channel_id,
|
||||
text=text
|
||||
)
|
||||
if self.bot_user_id is None and response.get("ok"):
|
||||
self.bot_user_id = response["message"]["bot_id"]
|
||||
return
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
async def send_message_to_one(self,text:str,user_id:str):
|
||||
try:
|
||||
response = await self.client.chat_postMessage(
|
||||
channel = '@'+user_id,
|
||||
text= text
|
||||
)
|
||||
if self.bot_user_id is None and response.get("ok"):
|
||||
self.bot_user_id = response["message"]["bot_id"]
|
||||
|
||||
return
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
async def run_task(self, host: str, port: int, *args, **kwargs):
|
||||
"""
|
||||
启动 Quart 应用。
|
||||
"""
|
||||
await self.app.run_task(host=host, port=port, *args, **kwargs)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
91
libs/slack_api/slackevent.py
Normal file
91
libs/slack_api/slackevent.py
Normal file
@@ -0,0 +1,91 @@
|
||||
from typing import Dict, Any, Optional
|
||||
|
||||
class SlackEvent(dict):
|
||||
@staticmethod
|
||||
def from_payload(payload: Dict[str, Any]) -> Optional["SlackEvent"]:
|
||||
try:
|
||||
event = SlackEvent(payload)
|
||||
return event
|
||||
except KeyError:
|
||||
return None
|
||||
|
||||
@property
|
||||
def text(self) -> str:
|
||||
|
||||
if self.get("event", {}).get("channel_type") == "im":
|
||||
blocks = self.get("event", {}).get("blocks", [])
|
||||
if not blocks:
|
||||
return ""
|
||||
|
||||
elements = blocks[0].get("elements", [])
|
||||
if not elements:
|
||||
return ""
|
||||
|
||||
elements = elements[0].get("elements", [])
|
||||
text = ""
|
||||
|
||||
for el in elements:
|
||||
if el.get("type") == "text":
|
||||
text += el.get("text", "")
|
||||
elif el.get("type") == "link":
|
||||
text += el.get("url", "")
|
||||
|
||||
return text
|
||||
|
||||
|
||||
if self.get("event",{}).get("channel_type") == 'channel':
|
||||
message_text = ""
|
||||
for block in self.get("event", {}).get("blocks", []):
|
||||
if block.get("type") == "rich_text":
|
||||
for element in block.get("elements", []):
|
||||
if element.get("type") == "rich_text_section":
|
||||
parts = []
|
||||
for el in element.get("elements", []):
|
||||
if el.get("type") == "text":
|
||||
parts.append(el["text"])
|
||||
elif el.get("type") == "link":
|
||||
parts.append(el["url"])
|
||||
message_text = "".join(parts)
|
||||
|
||||
return message_text
|
||||
|
||||
|
||||
|
||||
@property
|
||||
def user_id(self) -> Optional[str]:
|
||||
return self.get("event", {}).get("user","")
|
||||
|
||||
@property
|
||||
def channel_id(self) -> Optional[str]:
|
||||
return self.get("event", {}).get("channel","")
|
||||
|
||||
@property
|
||||
def type(self) -> str:
|
||||
""" message对应私聊,app_mention对应频道at """
|
||||
return self.get("event", {}).get("channel_type", "")
|
||||
|
||||
@property
|
||||
def message_id(self) -> str:
|
||||
return self.get("event_id","")
|
||||
|
||||
@property
|
||||
def pic_url(self) -> str:
|
||||
"""提取 Slack 事件中的图片 URL"""
|
||||
files = self.get("event", {}).get("files", [])
|
||||
if files:
|
||||
return files[0].get("url_private", "")
|
||||
return None
|
||||
|
||||
|
||||
@property
|
||||
def sender_name(self) -> str:
|
||||
return self.get("event", {}).get("user","")
|
||||
|
||||
def __getattr__(self, key: str) -> Optional[Any]:
|
||||
return self.get(key)
|
||||
|
||||
def __setattr__(self, key: str, value: Any) -> None:
|
||||
self[key] = value
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f"<SlackEvent {super().__repr__()}>"
|
||||
0
libs/wecom_customer_service_api/__init__.py
Normal file
0
libs/wecom_customer_service_api/__init__.py
Normal file
343
libs/wecom_customer_service_api/api.py
Normal file
343
libs/wecom_customer_service_api/api.py
Normal file
@@ -0,0 +1,343 @@
|
||||
from quart import request
|
||||
from ..wecom_api.WXBizMsgCrypt3 import WXBizMsgCrypt
|
||||
import base64
|
||||
import binascii
|
||||
import httpx
|
||||
import traceback
|
||||
from quart import Quart
|
||||
import xml.etree.ElementTree as ET
|
||||
from typing import Callable, Dict, Any
|
||||
from .wecomcsevent import WecomCSEvent
|
||||
from pkg.platform.types import events as platform_events, message as platform_message
|
||||
import aiofiles
|
||||
|
||||
|
||||
class WecomCSClient():
|
||||
def __init__(self,corpid:str,secret:str,token:str,EncodingAESKey:str):
|
||||
self.corpid = corpid
|
||||
self.secret = secret
|
||||
self.access_token_for_contacts =''
|
||||
self.token = token
|
||||
self.aes = EncodingAESKey
|
||||
self.base_url = 'https://qyapi.weixin.qq.com/cgi-bin'
|
||||
self.access_token = ''
|
||||
self.app = Quart(__name__)
|
||||
self.wxcpt = WXBizMsgCrypt(self.token, self.aes, self.corpid)
|
||||
self.app.add_url_rule('/callback/command', 'handle_callback', self.handle_callback_request, methods=['GET', 'POST'])
|
||||
self._message_handlers = {
|
||||
"example":[],
|
||||
}
|
||||
|
||||
async def get_pic_url(self, media_id: str):
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
|
||||
url = f"{self.base_url}/media/get?access_token={self.access_token}&media_id={media_id}"
|
||||
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.get(url)
|
||||
if response.headers.get("Content-Type", "").startswith("application/json"):
|
||||
data = response.json()
|
||||
if data.get('errcode') in [40014, 42001]:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.get_pic_url(media_id)
|
||||
else:
|
||||
raise Exception("Failed to get image: " + str(data))
|
||||
|
||||
# 否则是图片,转成 base64
|
||||
image_bytes = response.content
|
||||
content_type = response.headers.get("Content-Type", "")
|
||||
base64_str = base64.b64encode(image_bytes).decode("utf-8")
|
||||
base64_str = f"data:{content_type};base64,{base64_str}"
|
||||
return base64_str
|
||||
|
||||
|
||||
#access——token操作
|
||||
async def check_access_token(self):
|
||||
return bool(self.access_token and self.access_token.strip())
|
||||
|
||||
async def check_access_token_for_contacts(self):
|
||||
return bool(self.access_token_for_contacts and self.access_token_for_contacts.strip())
|
||||
|
||||
async def get_access_token(self,secret):
|
||||
url = f'https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid={self.corpid}&corpsecret={secret}'
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.get(url)
|
||||
data = response.json()
|
||||
if 'access_token' in data:
|
||||
return data['access_token']
|
||||
else:
|
||||
raise Exception(f"未获取access token: {data}")
|
||||
|
||||
async def get_detailed_message_list(self,xml_msg:str):
|
||||
# 在本方法中解析消息,并且获得消息的具体内容
|
||||
if isinstance(xml_msg, bytes):
|
||||
xml_msg = xml_msg.decode('utf-8')
|
||||
root = ET.fromstring(xml_msg)
|
||||
token = root.find("Token").text
|
||||
open_kfid = root.find("OpenKfId").text
|
||||
|
||||
# if open_kfid in self.openkfid_list:
|
||||
# return None
|
||||
# else:
|
||||
# self.openkfid_list.append(open_kfid)
|
||||
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
|
||||
url = self.base_url+'/kf/sync_msg?access_token='+ self.access_token
|
||||
async with httpx.AsyncClient() as client:
|
||||
params = {
|
||||
"token": token,
|
||||
"voice_format": 0,
|
||||
"open_kfid": open_kfid,
|
||||
}
|
||||
response = await client.post(url,json=params)
|
||||
data = response.json()
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.get_detailed_message_list(xml_msg)
|
||||
if data['errcode'] != 0:
|
||||
raise Exception("Failed to get message")
|
||||
|
||||
last_msg_data = data['msg_list'][-1]
|
||||
open_kfid = last_msg_data.get("open_kfid")
|
||||
# 进行获取图片操作
|
||||
if last_msg_data.get("msgtype") == "image":
|
||||
media_id = last_msg_data.get("image").get("media_id")
|
||||
picurl = await self.get_pic_url(media_id)
|
||||
last_msg_data["picurl"] = picurl
|
||||
# await self.change_service_status(userid=external_userid,openkfid=open_kfid,servicer=servicer)
|
||||
return last_msg_data
|
||||
|
||||
|
||||
async def change_service_status(self,userid:str,openkfid:str,servicer:str):
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
url = self.base_url+"/kf/service_state/get?access_token="+self.access_token
|
||||
async with httpx.AsyncClient() as client:
|
||||
params = {
|
||||
"open_kfid" : openkfid,
|
||||
"external_userid" : userid,
|
||||
"service_state" : 1,
|
||||
"servicer_userid" : servicer,
|
||||
}
|
||||
response = await client.post(url,json=params)
|
||||
data = response.json()
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.change_service_status(userid,openkfid)
|
||||
if data['errcode'] != 0:
|
||||
raise Exception("Failed to change service status: "+str(data))
|
||||
|
||||
|
||||
async def send_image(self,user_id:str,agent_id:int,media_id:str):
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
url = self.base_url+'/media/upload?access_token='+self.access_token
|
||||
async with httpx.AsyncClient() as client:
|
||||
params = {
|
||||
"touser" : user_id,
|
||||
"toparty" : "",
|
||||
"totag":"",
|
||||
"agentid" : agent_id,
|
||||
"msgtype" : "image",
|
||||
"image" : {
|
||||
"media_id" : media_id,
|
||||
},
|
||||
"safe":0,
|
||||
"enable_id_trans": 0,
|
||||
"enable_duplicate_check": 0,
|
||||
"duplicate_check_interval": 1800
|
||||
}
|
||||
try:
|
||||
response = await client.post(url,json=params)
|
||||
data = response.json()
|
||||
except Exception as e:
|
||||
raise Exception("Failed to send image: "+str(e))
|
||||
|
||||
# 企业微信错误码40014和42001,代表accesstoken问题
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.send_image(user_id,agent_id,media_id)
|
||||
|
||||
if data['errcode'] != 0:
|
||||
raise Exception("Failed to send image: "+str(data))
|
||||
|
||||
|
||||
async def send_text_msg(self, open_kfid: str, external_userid: str, msgid: str,content:str):
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
|
||||
url = f"https://qyapi.weixin.qq.com/cgi-bin/kf/send_msg?access_token={self.access_token}"
|
||||
|
||||
payload = {
|
||||
"touser": external_userid,
|
||||
"open_kfid": open_kfid,
|
||||
"msgid": msgid,
|
||||
"msgtype": "text",
|
||||
"text": {
|
||||
"content": content,
|
||||
}
|
||||
}
|
||||
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.post(url, json=payload)
|
||||
|
||||
data = response.json()
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.send_text_msg(open_kfid,external_userid,msgid,content)
|
||||
if data['errcode'] != 0:
|
||||
raise Exception("Failed to send message")
|
||||
return data
|
||||
|
||||
|
||||
async def handle_callback_request(self):
|
||||
"""
|
||||
处理回调请求,包括 GET 验证和 POST 消息接收。
|
||||
"""
|
||||
try:
|
||||
|
||||
msg_signature = request.args.get("msg_signature")
|
||||
timestamp = request.args.get("timestamp")
|
||||
nonce = request.args.get("nonce")
|
||||
|
||||
if request.method == "GET":
|
||||
echostr = request.args.get("echostr")
|
||||
ret, reply_echo_str = self.wxcpt.VerifyURL(msg_signature, timestamp, nonce, echostr)
|
||||
if ret != 0:
|
||||
raise Exception(f"验证失败,错误码: {ret}")
|
||||
return reply_echo_str
|
||||
|
||||
elif request.method == "POST":
|
||||
encrypt_msg = await request.data
|
||||
ret, xml_msg = self.wxcpt.DecryptMsg(encrypt_msg, msg_signature, timestamp, nonce)
|
||||
if ret != 0:
|
||||
raise Exception(f"消息解密失败,错误码: {ret}")
|
||||
|
||||
# 解析消息并处理
|
||||
message_data = await self.get_detailed_message_list(xml_msg)
|
||||
if message_data is not None:
|
||||
event = WecomCSEvent.from_payload(message_data)
|
||||
if event:
|
||||
await self._handle_message(event)
|
||||
|
||||
return "success"
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
return f"Error processing request: {str(e)}", 400
|
||||
|
||||
async def run_task(self, host: str, port: int, *args, **kwargs):
|
||||
"""
|
||||
启动 Quart 应用。
|
||||
"""
|
||||
await self.app.run_task(host=host, port=port, *args, **kwargs)
|
||||
|
||||
def on_message(self, msg_type: str):
|
||||
"""
|
||||
注册消息类型处理器。
|
||||
"""
|
||||
def decorator(func: Callable[[WecomCSEvent], None]):
|
||||
if msg_type not in self._message_handlers:
|
||||
self._message_handlers[msg_type] = []
|
||||
self._message_handlers[msg_type].append(func)
|
||||
return func
|
||||
return decorator
|
||||
|
||||
async def _handle_message(self, event: WecomCSEvent):
|
||||
"""
|
||||
处理消息事件。
|
||||
"""
|
||||
msg_type = event.type
|
||||
if msg_type in self._message_handlers:
|
||||
for handler in self._message_handlers[msg_type]:
|
||||
await handler(event)
|
||||
|
||||
|
||||
@staticmethod
|
||||
async def get_image_type(image_bytes: bytes) -> str:
|
||||
"""
|
||||
通过图片的magic numbers判断图片类型
|
||||
"""
|
||||
magic_numbers = {
|
||||
b'\xFF\xD8\xFF': 'jpg',
|
||||
b'\x89\x50\x4E\x47': 'png',
|
||||
b'\x47\x49\x46': 'gif',
|
||||
b'\x42\x4D': 'bmp',
|
||||
b'\x00\x00\x01\x00': 'ico'
|
||||
}
|
||||
|
||||
for magic, ext in magic_numbers.items():
|
||||
if image_bytes.startswith(magic):
|
||||
return ext
|
||||
return 'jpg' # 默认返回jpg
|
||||
|
||||
|
||||
async def upload_to_work(self, image: platform_message.Image):
|
||||
"""
|
||||
获取 media_id
|
||||
"""
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
|
||||
url = self.base_url + '/media/upload?access_token=' + self.access_token + '&type=file'
|
||||
file_bytes = None
|
||||
file_name = "uploaded_file.txt"
|
||||
|
||||
# 获取文件的二进制数据
|
||||
if image.path:
|
||||
async with aiofiles.open(image.path, 'rb') as f:
|
||||
file_bytes = await f.read()
|
||||
file_name = image.path.split('/')[-1]
|
||||
elif image.url:
|
||||
file_bytes = await self.download_image_to_bytes(image.url)
|
||||
file_name = image.url.split('/')[-1]
|
||||
elif image.base64:
|
||||
try:
|
||||
base64_data = image.base64
|
||||
if ',' in base64_data:
|
||||
base64_data = base64_data.split(',', 1)[1]
|
||||
padding = 4 - (len(base64_data) % 4) if len(base64_data) % 4 else 0
|
||||
padded_base64 = base64_data + '=' * padding
|
||||
file_bytes = base64.b64decode(padded_base64)
|
||||
except binascii.Error as e:
|
||||
raise ValueError(f"Invalid base64 string: {str(e)}")
|
||||
else:
|
||||
raise ValueError("image对象出错")
|
||||
|
||||
# 设置 multipart/form-data 格式的文件
|
||||
boundary = "-------------------------acebdf13572468"
|
||||
headers = {
|
||||
'Content-Type': f'multipart/form-data; boundary={boundary}'
|
||||
}
|
||||
body = (
|
||||
f"--{boundary}\r\n"
|
||||
f"Content-Disposition: form-data; name=\"media\"; filename=\"{file_name}\"; filelength={len(file_bytes)}\r\n"
|
||||
f"Content-Type: application/octet-stream\r\n\r\n"
|
||||
).encode('utf-8') + file_bytes + f"\r\n--{boundary}--\r\n".encode('utf-8')
|
||||
|
||||
# 上传文件
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.post(url, headers=headers, content=body)
|
||||
data = response.json()
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
media_id = await self.upload_to_work(image)
|
||||
if data.get('errcode', 0) != 0:
|
||||
raise Exception("failed to upload file")
|
||||
|
||||
media_id = data.get('media_id')
|
||||
return media_id
|
||||
|
||||
async def download_image_to_bytes(self,url:str) -> bytes:
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.get(url)
|
||||
response.raise_for_status()
|
||||
return response.content
|
||||
|
||||
#进行media_id的获取
|
||||
async def get_media_id(self, image: platform_message.Image):
|
||||
|
||||
media_id = await self.upload_to_work(image=image)
|
||||
return media_id
|
||||
134
libs/wecom_customer_service_api/wecomcsevent.py
Normal file
134
libs/wecom_customer_service_api/wecomcsevent.py
Normal file
@@ -0,0 +1,134 @@
|
||||
from typing import Dict, Any, Optional
|
||||
|
||||
|
||||
class WecomCSEvent(dict):
|
||||
"""
|
||||
封装从企业微信收到的事件数据对象(字典),提供属性以获取其中的字段。
|
||||
|
||||
除 `type` 和 `detail_type` 属性对于任何事件都有效外,其它属性是否存在(若不存在则返回 `None`)依事件类型不同而不同。
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def from_payload(payload: Dict[str, Any]) -> Optional["WecomCSEvent"]:
|
||||
"""
|
||||
从企业微信(客服会话)事件数据构造 `WecomEvent` 对象。
|
||||
|
||||
Args:
|
||||
payload (Dict[str, Any]): 解密后的企业微信事件数据。
|
||||
|
||||
Returns:
|
||||
Optional[WecomEvent]: 如果事件数据合法,则返回 WecomEvent 对象;否则返回 None。
|
||||
"""
|
||||
try:
|
||||
event = WecomCSEvent(payload)
|
||||
_ = event.type,
|
||||
return event
|
||||
except KeyError:
|
||||
return None
|
||||
|
||||
@property
|
||||
def type(self) -> str:
|
||||
"""
|
||||
事件类型,例如 "message"、"event"、"text" 等。
|
||||
|
||||
Returns:
|
||||
str: 事件类型。
|
||||
"""
|
||||
return self.get("msgtype", "")
|
||||
|
||||
@property
|
||||
def user_id(self) -> Optional[str]:
|
||||
"""
|
||||
用户 ID,例如消息的发送者或事件的触发者。
|
||||
|
||||
Returns:
|
||||
Optional[str]: 用户 ID。
|
||||
"""
|
||||
return self.get("external_userid")
|
||||
|
||||
@property
|
||||
def receiver_id(self) -> Optional[str]:
|
||||
"""
|
||||
接收者 ID,例如机器人自身的企业微信 ID。
|
||||
|
||||
Returns:
|
||||
Optional[str]: 接收者 ID。
|
||||
"""
|
||||
return self.get("open_kfid","")
|
||||
|
||||
@property
|
||||
def picurl(self) -> Optional[str]:
|
||||
"""
|
||||
图片 URL,仅在图片消息中存在。
|
||||
base64格式
|
||||
Returns:
|
||||
Optional[str]: 图片 URL。
|
||||
"""
|
||||
|
||||
return self.get("picurl","")
|
||||
|
||||
@property
|
||||
def message_id(self) -> Optional[str]:
|
||||
"""
|
||||
消息 ID,仅在消息类型事件中存在。
|
||||
|
||||
Returns:
|
||||
Optional[str]: 消息 ID。
|
||||
"""
|
||||
return self.get("msgid")
|
||||
|
||||
@property
|
||||
def message(self) -> Optional[str]:
|
||||
"""
|
||||
消息内容,仅在消息类型事件中存在。
|
||||
|
||||
Returns:
|
||||
Optional[str]: 消息内容。
|
||||
"""
|
||||
if self.get("msgtype") == 'text':
|
||||
return self.get("text").get("content","")
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
@property
|
||||
def timestamp(self) -> Optional[int]:
|
||||
"""
|
||||
事件发生的时间戳。
|
||||
|
||||
Returns:
|
||||
Optional[int]: 时间戳。
|
||||
"""
|
||||
return self.get("send_time")
|
||||
|
||||
|
||||
def __getattr__(self, key: str) -> Optional[Any]:
|
||||
"""
|
||||
允许通过属性访问数据中的任意字段。
|
||||
|
||||
Args:
|
||||
key (str): 字段名。
|
||||
|
||||
Returns:
|
||||
Optional[Any]: 字段值。
|
||||
"""
|
||||
return self.get(key)
|
||||
|
||||
def __setattr__(self, key: str, value: Any) -> None:
|
||||
"""
|
||||
允许通过属性设置数据中的任意字段。
|
||||
|
||||
Args:
|
||||
key (str): 字段名。
|
||||
value (Any): 字段值。
|
||||
"""
|
||||
self[key] = value
|
||||
|
||||
def __repr__(self) -> str:
|
||||
"""
|
||||
生成事件对象的字符串表示。
|
||||
|
||||
Returns:
|
||||
str: 字符串表示。
|
||||
"""
|
||||
return f"<WecomEvent {super().__repr__()}>"
|
||||
@@ -38,6 +38,7 @@ required_deps = {
|
||||
'certifi': 'certifi',
|
||||
'mcp': 'mcp',
|
||||
'sqlmodel': 'sqlmodel',
|
||||
'telegramify_markdown': 'telegramify-markdown',
|
||||
}
|
||||
|
||||
|
||||
|
||||
26
pkg/core/migrations/m038_tg_dingtalk_markdown.py
Normal file
26
pkg/core/migrations/m038_tg_dingtalk_markdown.py
Normal file
@@ -0,0 +1,26 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from .. import migration
|
||||
|
||||
|
||||
@migration.migration_class("tg-dingtalk-markdown", 38)
|
||||
class TgDingtalkMarkdownMigration(migration.Migration):
|
||||
"""迁移"""
|
||||
|
||||
async def need_migrate(self) -> bool:
|
||||
"""判断当前环境是否需要运行此迁移"""
|
||||
|
||||
for adapter in self.ap.platform_cfg.data['platform-adapters']:
|
||||
if adapter['adapter'] in ['dingtalk','telegram']:
|
||||
if 'markdown_card' not in adapter:
|
||||
return True
|
||||
return False
|
||||
|
||||
async def run(self):
|
||||
"""执行迁移"""
|
||||
for adapter in self.ap.platform_cfg.data['platform-adapters']:
|
||||
if adapter['adapter'] in ['dingtalk','telegram']:
|
||||
if 'markdown_card' not in adapter:
|
||||
adapter['markdown_card'] = False
|
||||
await self.ap.platform_cfg.dump_config()
|
||||
|
||||
30
pkg/core/migrations/m039_modelscope_cfg_completion.py
Normal file
30
pkg/core/migrations/m039_modelscope_cfg_completion.py
Normal file
@@ -0,0 +1,30 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from .. import migration
|
||||
|
||||
|
||||
@migration.migration_class("modelscope-config-completion", 39)
|
||||
class ModelScopeConfigCompletionMigration(migration.Migration):
|
||||
"""ModelScope配置迁移
|
||||
"""
|
||||
|
||||
async def need_migrate(self) -> bool:
|
||||
"""判断当前环境是否需要运行此迁移
|
||||
"""
|
||||
return 'modelscope-chat-completions' not in self.ap.provider_cfg.data['requester'] \
|
||||
or 'modelscope' not in self.ap.provider_cfg.data['keys']
|
||||
|
||||
async def run(self):
|
||||
"""执行迁移
|
||||
"""
|
||||
if 'modelscope-chat-completions' not in self.ap.provider_cfg.data['requester']:
|
||||
self.ap.provider_cfg.data['requester']['modelscope-chat-completions'] = {
|
||||
'base-url': 'https://api-inference.modelscope.cn/v1',
|
||||
'args': {},
|
||||
'timeout': 120,
|
||||
}
|
||||
|
||||
if 'modelscope' not in self.ap.provider_cfg.data['keys']:
|
||||
self.ap.provider_cfg.data['keys']['modelscope'] = []
|
||||
|
||||
await self.ap.provider_cfg.dump_config()
|
||||
30
pkg/core/migrations/m040_ppio_config.py
Normal file
30
pkg/core/migrations/m040_ppio_config.py
Normal file
@@ -0,0 +1,30 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from .. import migration
|
||||
|
||||
|
||||
@migration.migration_class("ppio-config", 40)
|
||||
class PPIOConfigMigration(migration.Migration):
|
||||
"""PPIO配置迁移
|
||||
"""
|
||||
|
||||
async def need_migrate(self) -> bool:
|
||||
"""判断当前环境是否需要运行此迁移
|
||||
"""
|
||||
return 'ppio-chat-completions' not in self.ap.provider_cfg.data['requester'] \
|
||||
or 'ppio' not in self.ap.provider_cfg.data['keys']
|
||||
|
||||
async def run(self):
|
||||
"""执行迁移
|
||||
"""
|
||||
if 'ppio-chat-completions' not in self.ap.provider_cfg.data['requester']:
|
||||
self.ap.provider_cfg.data['requester']['ppio-chat-completions'] = {
|
||||
'base-url': 'https://api.ppinfra.com/v3/openai',
|
||||
'args': {},
|
||||
'timeout': 120,
|
||||
}
|
||||
|
||||
if 'ppio' not in self.ap.provider_cfg.data['keys']:
|
||||
self.ap.provider_cfg.data['keys']['ppio'] = []
|
||||
|
||||
await self.ap.provider_cfg.dump_config()
|
||||
@@ -116,6 +116,7 @@ class DingTalkAdapter(adapter.MessagePlatformAdapter):
|
||||
client_secret=config['client_secret'],
|
||||
robot_name=config['robot_name'],
|
||||
robot_code=config['robot_code'],
|
||||
markdown_card=config['markdown_card'],
|
||||
)
|
||||
|
||||
async def reply_message(
|
||||
|
||||
@@ -1,5 +1,3 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import gewechat_client
|
||||
|
||||
import typing
|
||||
@@ -7,7 +5,6 @@ import asyncio
|
||||
import traceback
|
||||
import time
|
||||
import re
|
||||
import base64
|
||||
import copy
|
||||
import threading
|
||||
|
||||
@@ -21,6 +18,8 @@ from ..types import events as platform_events
|
||||
from ..types import entities as platform_entities
|
||||
from ...utils import image
|
||||
import xml.etree.ElementTree as ET
|
||||
from typing import Optional, Tuple
|
||||
from functools import partial
|
||||
|
||||
|
||||
class GewechatMessageConverter(adapter.MessageConverter):
|
||||
@@ -49,182 +48,437 @@ class GewechatMessageConverter(adapter.MessageConverter):
|
||||
content_list.extend(
|
||||
await GewechatMessageConverter.yiri2target(node.message_chain)
|
||||
)
|
||||
content_list.append({'type': 'image', 'image': component.url})
|
||||
elif isinstance(component, platform_message.WeChatMiniPrograms):
|
||||
content_list.append(
|
||||
{
|
||||
'type': 'WeChatMiniPrograms',
|
||||
'mini_app_id': component.mini_app_id,
|
||||
'display_name': component.display_name,
|
||||
'page_path': component.page_path,
|
||||
'cover_img_url': component.image_url,
|
||||
'title': component.title,
|
||||
'user_name': component.user_name,
|
||||
}
|
||||
)
|
||||
elif isinstance(component, platform_message.WeChatForwardMiniPrograms):
|
||||
content_list.append(
|
||||
{
|
||||
'type': 'WeChatForwardMiniPrograms',
|
||||
'xml_data': component.xml_data,
|
||||
'image_url': component.image_url,
|
||||
}
|
||||
)
|
||||
elif isinstance(component, platform_message.WeChatEmoji):
|
||||
content_list.append(
|
||||
{
|
||||
'type': 'WeChatEmoji',
|
||||
'emoji_md5': component.emoji_md5,
|
||||
'emoji_size': component.emoji_size,
|
||||
}
|
||||
)
|
||||
elif isinstance(component, platform_message.WeChatLink):
|
||||
content_list.append(
|
||||
{
|
||||
'type': 'WeChatLink',
|
||||
'link_title': component.link_title,
|
||||
'link_desc': component.link_desc,
|
||||
'link_thumb_url': component.link_thumb_url,
|
||||
'link_url': component.link_url,
|
||||
}
|
||||
)
|
||||
elif isinstance(component, platform_message.WeChatForwardLink):
|
||||
content_list.append(
|
||||
{'type': 'WeChatForwardLink', 'xml_data': component.xml_data}
|
||||
)
|
||||
elif isinstance(component, platform_message.Voice):
|
||||
content_list.append(
|
||||
{'type': 'voice', 'url': component.url, 'length': component.length}
|
||||
)
|
||||
elif isinstance(component, platform_message.WeChatForwardImage):
|
||||
content_list.append(
|
||||
{'type': 'WeChatForwardImage', 'xml_data': component.xml_data}
|
||||
)
|
||||
elif isinstance(component, platform_message.WeChatForwardFile):
|
||||
content_list.append(
|
||||
{'type': 'WeChatForwardFile', 'xml_data': component.xml_data}
|
||||
)
|
||||
elif isinstance(component, platform_message.WeChatAppMsg):
|
||||
content_list.append(
|
||||
{'type': 'WeChatAppMsg', 'app_msg': component.app_msg}
|
||||
)
|
||||
# 引用消息转发
|
||||
elif isinstance(component, platform_message.WeChatForwardQuote):
|
||||
content_list.append(
|
||||
{'type': 'WeChatAppMsg', 'app_msg': component.app_msg}
|
||||
)
|
||||
elif isinstance(component, platform_message.Forward):
|
||||
for node in component.node_list:
|
||||
if node.message_chain:
|
||||
content_list.extend(
|
||||
await GewechatMessageConverter.yiri2target(
|
||||
node.message_chain
|
||||
)
|
||||
)
|
||||
|
||||
return content_list
|
||||
|
||||
async def target2yiri(
|
||||
self, message: dict, bot_account_id: str
|
||||
) -> platform_message.MessageChain:
|
||||
if message['Data']['MsgType'] == 1:
|
||||
# 检查消息开头,如果有 wxid_sbitaz0mt65n22:\n 则删掉
|
||||
regex = re.compile(r'^wxid_.*:')
|
||||
# print(message)
|
||||
"""外部消息转平台消息"""
|
||||
# 数据预处理
|
||||
message_list = []
|
||||
ats_bot = False # 是否被@
|
||||
content = message['Data']['Content']['string']
|
||||
content_no_preifx = content # 群消息则去掉前缀
|
||||
is_group_message = self._is_group_message(message)
|
||||
if is_group_message:
|
||||
ats_bot = self._ats_bot(message, bot_account_id)
|
||||
if '@所有人' in content:
|
||||
message_list.append(platform_message.AtAll())
|
||||
elif ats_bot:
|
||||
message_list.append(platform_message.At(target=bot_account_id))
|
||||
content_no_preifx, _ = self._extract_content_and_sender(content)
|
||||
|
||||
line_split = message['Data']['Content']['string'].split('\n')
|
||||
msg_type = message['Data']['MsgType']
|
||||
|
||||
if len(line_split) > 0 and regex.match(line_split[0]):
|
||||
message['Data']['Content']['string'] = '\n'.join(line_split[1:])
|
||||
# 映射消息类型到处理器方法
|
||||
handler_map = {
|
||||
1: self._handler_text,
|
||||
3: self._handler_image,
|
||||
34: self._handler_voice,
|
||||
49: self._handler_compound, # 复合类型
|
||||
}
|
||||
|
||||
# 正则表达式模式,匹配'@'后跟任意数量的非空白字符
|
||||
pattern = r'@\S+'
|
||||
at_string = f'@{bot_account_id}'
|
||||
content_list = []
|
||||
if at_string in message['Data']['Content']['string']:
|
||||
content_list.append(platform_message.At(target=bot_account_id))
|
||||
content_list.append(
|
||||
platform_message.Plain(
|
||||
message['Data']['Content']['string'].replace(at_string, '', 1)
|
||||
)
|
||||
)
|
||||
# 更优雅的替换改名后@机器人,仅仅限于单独AT的情况
|
||||
elif (
|
||||
'PushContent' in message['Data']
|
||||
and '在群聊中@了你' in message['Data']['PushContent']
|
||||
):
|
||||
if (
|
||||
'@所有人' in message['Data']['Content']['string']
|
||||
): # at全员时候传入atll不当作at自己
|
||||
content_list.append(platform_message.AtAll())
|
||||
else:
|
||||
content_list.append(platform_message.At(target=bot_account_id))
|
||||
content_list.append(
|
||||
platform_message.Plain(
|
||||
re.sub(pattern, '', message['Data']['Content']['string'])
|
||||
)
|
||||
)
|
||||
else:
|
||||
content_list = [
|
||||
platform_message.Plain(message['Data']['Content']['string'])
|
||||
]
|
||||
# 分派处理
|
||||
handler = handler_map.get(msg_type, self._handler_default)
|
||||
handler_result = await handler(
|
||||
message=message, # 原始的message
|
||||
content_no_preifx=content_no_preifx, # 处理后的content
|
||||
)
|
||||
|
||||
return platform_message.MessageChain(content_list)
|
||||
if handler_result and len(handler_result) > 0:
|
||||
message_list.extend(handler_result)
|
||||
|
||||
elif message['Data']['MsgType'] == 3:
|
||||
image_xml = message['Data']['Content']['string']
|
||||
return platform_message.MessageChain(message_list)
|
||||
|
||||
async def _handler_text(
|
||||
self, message: Optional[dict], content_no_preifx: str
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理文本消息 (msg_type=1)"""
|
||||
if message and self._is_group_message(message):
|
||||
pattern = r'@\S{1,20}'
|
||||
content_no_preifx = re.sub(pattern, '', content_no_preifx)
|
||||
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(content_no_preifx)]
|
||||
)
|
||||
|
||||
async def _handler_image(
|
||||
self, message: Optional[dict], content_no_preifx: str
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理图像消息 (msg_type=3)"""
|
||||
try:
|
||||
image_xml = content_no_preifx
|
||||
if not image_xml:
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(text='[图片内容为空]')]
|
||||
[platform_message.Unknown('[图片内容为空]')]
|
||||
)
|
||||
|
||||
try:
|
||||
base64_str, image_format = await image.get_gewechat_image_base64(
|
||||
gewechat_url=self.config['gewechat_url'],
|
||||
gewechat_file_url=self.config['gewechat_file_url'],
|
||||
app_id=self.config['app_id'],
|
||||
xml_content=image_xml,
|
||||
token=self.config['token'],
|
||||
image_type=2,
|
||||
)
|
||||
|
||||
return platform_message.MessageChain(
|
||||
[
|
||||
platform_message.Image(
|
||||
base64=f'data:image/{image_format};base64,{base64_str}'
|
||||
)
|
||||
]
|
||||
)
|
||||
except Exception as e:
|
||||
print(f'处理图片消息失败: {str(e)}')
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(text='[图片处理失败]')]
|
||||
)
|
||||
elif message['Data']['MsgType'] == 34:
|
||||
audio_base64 = message['Data']['ImgBuf']['buffer']
|
||||
return platform_message.MessageChain(
|
||||
[
|
||||
platform_message.Voice(
|
||||
base64=f'data:audio/silk;base64,{audio_base64}'
|
||||
)
|
||||
]
|
||||
base64_str, image_format = await image.get_gewechat_image_base64(
|
||||
gewechat_url=self.config['gewechat_url'],
|
||||
gewechat_file_url=self.config['gewechat_file_url'],
|
||||
app_id=self.config['app_id'],
|
||||
xml_content=image_xml,
|
||||
token=self.config['token'],
|
||||
image_type=2,
|
||||
)
|
||||
elif message['Data']['MsgType'] == 49:
|
||||
# 支持微信聊天记录的消息类型,将 XML 内容转换为 MessageChain 传递
|
||||
try:
|
||||
content = message['Data']['Content']['string']
|
||||
# 有三种可能的消息结构weid开头,私聊直接<?xml>和直接<msg>
|
||||
if content.startswith('wxid'):
|
||||
xml_list = content.split('\n')[2:]
|
||||
xml_data = '\n'.join(xml_list)
|
||||
elif content.startswith('<?xml'):
|
||||
xml_list = content.split('\n')[1:]
|
||||
xml_data = '\n'.join(xml_list)
|
||||
else:
|
||||
xml_data = content
|
||||
|
||||
content_data = ET.fromstring(xml_data)
|
||||
# print(xml_data)
|
||||
# 拿到细分消息类型,按照gewe接口中描述
|
||||
"""
|
||||
小程序:33/36
|
||||
引用消息:57
|
||||
转账消息:2000
|
||||
红包消息:2001
|
||||
视频号消息:51
|
||||
"""
|
||||
appmsg_data = content_data.find('.//appmsg')
|
||||
data_type = appmsg_data.find('.//type').text
|
||||
if data_type == '57':
|
||||
user_data = appmsg_data.find('.//title').text # 拿到用户消息
|
||||
quote_data = (
|
||||
appmsg_data.find('.//refermsg').find('.//content').text
|
||||
) # 引用原文
|
||||
sender_id = (
|
||||
appmsg_data.find('.//refermsg').find('.//chatusr').text
|
||||
) # 引用用户id
|
||||
from_name = message['Data']['FromUserName']['string']
|
||||
message_list = []
|
||||
if (
|
||||
message['Wxid'] == sender_id and from_name.endswith('@chatroom')
|
||||
): # 因为引用机制暂时无法响应用户,所以当引用用户是机器人是构建一个at激活机器人
|
||||
message_list.append(platform_message.At(target=bot_account_id))
|
||||
message_list.append(
|
||||
platform_message.Quote(
|
||||
sender_id=sender_id,
|
||||
origin=platform_message.MessageChain(
|
||||
[platform_message.Plain(quote_data)]
|
||||
),
|
||||
)
|
||||
)
|
||||
message_list.append(platform_message.Plain(user_data))
|
||||
return platform_message.MessageChain(message_list)
|
||||
elif data_type == '51':
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(text='[视频号消息]')]
|
||||
)
|
||||
# print(content_data)
|
||||
elif data_type == '2000':
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(text='[转账消息]')]
|
||||
)
|
||||
elif data_type == '2001':
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(text='[红包消息]')]
|
||||
)
|
||||
elif data_type == '5':
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(text='[公众号消息]')]
|
||||
)
|
||||
elif data_type == '33' or data_type == '36':
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(text='[小程序消息]')]
|
||||
)
|
||||
# print(data_type.text)
|
||||
elements = [
|
||||
platform_message.Image(
|
||||
base64=f'data:image/{image_format};base64,{base64_str}'
|
||||
),
|
||||
platform_message.WeChatForwardImage(xml_data=image_xml), # 微信消息转发
|
||||
]
|
||||
return platform_message.MessageChain(elements)
|
||||
except Exception as e:
|
||||
print(f'处理图片失败: {str(e)}')
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Unknown('[图片处理失败]')]
|
||||
)
|
||||
|
||||
async def _handler_voice(
|
||||
self, message: Optional[dict], content_no_preifx: str
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理语音消息 (msg_type=34)"""
|
||||
message_List = []
|
||||
try:
|
||||
# 从消息中提取语音数据(需根据实际数据结构调整字段名)
|
||||
audio_base64 = message['Data']['ImgBuf']['buffer']
|
||||
|
||||
# 验证语音数据有效性
|
||||
if not audio_base64:
|
||||
message_List.append(platform_message.Unknown(text='[语音内容为空]'))
|
||||
return platform_message.MessageChain(message_List)
|
||||
|
||||
# 转换为平台支持的语音格式(如 Silk 格式)
|
||||
voice_element = platform_message.Voice(
|
||||
base64=f'data:audio/silk;base64,{audio_base64}'
|
||||
)
|
||||
message_List.append(voice_element)
|
||||
|
||||
except KeyError as e:
|
||||
print(f'语音数据字段缺失: {str(e)}')
|
||||
message_List.append(platform_message.Unknown(text='[语音数据解析失败]'))
|
||||
except Exception as e:
|
||||
print(f'处理语音消息异常: {str(e)}')
|
||||
message_List.append(platform_message.Unknown(text='[语音处理失败]'))
|
||||
|
||||
return platform_message.MessageChain(message_List)
|
||||
|
||||
async def _handler_compound(
|
||||
self, message: Optional[dict], content_no_preifx: str
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理复合消息 (msg_type=49),根据子类型分派"""
|
||||
try:
|
||||
xml_data = ET.fromstring(content_no_preifx)
|
||||
appmsg_data = xml_data.find('.//appmsg')
|
||||
if appmsg_data:
|
||||
data_type = appmsg_data.findtext('.//type', '')
|
||||
|
||||
# 二次分派处理器
|
||||
sub_handler_map = {
|
||||
'57': self._handler_compound_quote,
|
||||
'5': self._handler_compound_link,
|
||||
'6': self._handler_compound_file,
|
||||
'33': self._handler_compound_mini_program,
|
||||
'36': self._handler_compound_mini_program,
|
||||
'2000': partial(
|
||||
self._handler_compound_unsupported, text='[转账消息]'
|
||||
),
|
||||
'2001': partial(
|
||||
self._handler_compound_unsupported, text='[红包消息]'
|
||||
),
|
||||
'51': partial(
|
||||
self._handler_compound_unsupported, text='[视频号消息]'
|
||||
),
|
||||
}
|
||||
|
||||
handler = sub_handler_map.get(
|
||||
data_type, self._handler_compound_unsupported
|
||||
)
|
||||
return await handler(
|
||||
message=message, # 原始msg
|
||||
xml_data=xml_data, # xml数据
|
||||
)
|
||||
else:
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Unknown(text=content_no_preifx)]
|
||||
)
|
||||
except Exception as e:
|
||||
print(f'解析复合消息失败: {str(e)}')
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Unknown(text=content_no_preifx)]
|
||||
)
|
||||
|
||||
async def _handler_compound_quote(
|
||||
self, message: Optional[dict], xml_data: ET.Element
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理引用消息 (data_type=57)"""
|
||||
message_list = []
|
||||
# print("_handler_compound_quote", ET.tostring(xml_data, encoding='unicode'))
|
||||
appmsg_data = xml_data.find('.//appmsg')
|
||||
quote_data = '' # 引用原文
|
||||
user_data = '' # 用户消息
|
||||
sender_id = xml_data.findtext('.//fromusername') # 发送方:单聊用户/群member
|
||||
if appmsg_data:
|
||||
user_data = appmsg_data.findtext('.//title') or ''
|
||||
quote_data = appmsg_data.find('.//refermsg').findtext('.//content')
|
||||
message_list.append(
|
||||
platform_message.WeChatForwardQuote(
|
||||
app_msg=ET.tostring(appmsg_data, encoding='unicode')
|
||||
)
|
||||
)
|
||||
# quote_data原始的消息
|
||||
if quote_data:
|
||||
quote_data_message_list = platform_message.MessageChain()
|
||||
# 文本消息
|
||||
try:
|
||||
if '<msg>' not in quote_data:
|
||||
quote_data_message_list.append(platform_message.Plain(quote_data))
|
||||
else:
|
||||
try:
|
||||
content_bytes = content.encode('utf-8')
|
||||
decoded_content = base64.b64decode(content_bytes)
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Unknown(content=decoded_content)]
|
||||
# 引用消息展开
|
||||
quote_data_xml = ET.fromstring(quote_data)
|
||||
if quote_data_xml.find('img'):
|
||||
quote_data_message_list.extend(
|
||||
await self._handler_image(None, quote_data)
|
||||
)
|
||||
except Exception:
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(text=content)]
|
||||
elif quote_data_xml.find('voicemsg'):
|
||||
quote_data_message_list.extend(
|
||||
await self._handler_voice(None, quote_data)
|
||||
)
|
||||
elif quote_data_xml.find('videomsg'):
|
||||
quote_data_message_list.extend(
|
||||
await self._handler_default(None, quote_data)
|
||||
) # 先不处理
|
||||
else:
|
||||
# appmsg
|
||||
quote_data_message_list.extend(
|
||||
await self._handler_compound(None, quote_data)
|
||||
)
|
||||
except Exception as e:
|
||||
print(f'Error processing type 49 message: {str(e)}')
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Plain(text='[无法解析的消息]')]
|
||||
print(f'处理引用消息异常 expcetion:{e}')
|
||||
quote_data_message_list.append(platform_message.Plain(quote_data))
|
||||
message_list.append(
|
||||
platform_message.Quote(
|
||||
sender_id=sender_id,
|
||||
origin=quote_data_message_list,
|
||||
)
|
||||
)
|
||||
if len(user_data) > 0:
|
||||
pattern = r'@\S{1,20}'
|
||||
user_data = re.sub(pattern, '', user_data)
|
||||
message_list.append(platform_message.Plain(user_data))
|
||||
|
||||
# for comp in message_list:
|
||||
# if isinstance(comp, platform_message.Quote):
|
||||
# print(f"quote_message_chain len={len(message_list)}")
|
||||
# print(f"quote_message_chain send_id={comp.sender_id}" )
|
||||
# for quote_item in comp.origin:
|
||||
# print(f"--quote_message_component [msg_type={quote_item.type}][message={quote_item}]" )
|
||||
# else:
|
||||
# print(f"quote_message_chain plain [msg_type={comp.type}][message={comp.text}]")
|
||||
return platform_message.MessageChain(message_list)
|
||||
|
||||
async def _handler_compound_file(
|
||||
self, message: dict, xml_data: ET.Element
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理文件消息 (data_type=6)"""
|
||||
xml_data_str = ET.tostring(xml_data, encoding='unicode')
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.WeChatForwardFile(xml_data=xml_data_str)]
|
||||
)
|
||||
|
||||
async def _handler_compound_link(
|
||||
self, message: dict, xml_data: ET.Element
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理链接消息(如公众号文章、外部网页)"""
|
||||
message_list = []
|
||||
try:
|
||||
# 解析 XML 中的链接参数
|
||||
appmsg = xml_data.find('.//appmsg')
|
||||
if appmsg is None:
|
||||
return platform_message.MessageChain()
|
||||
message_list.append(
|
||||
platform_message.WeChatLink(
|
||||
link_title=appmsg.findtext('title', ''),
|
||||
link_desc=appmsg.findtext('des', ''),
|
||||
link_url=appmsg.findtext('url', ''),
|
||||
link_thumb_url=appmsg.findtext('thumburl', ''), # 这个字段拿不到
|
||||
)
|
||||
)
|
||||
# 转发消息
|
||||
xml_data_str = ET.tostring(xml_data, encoding='unicode')
|
||||
# print(xml_data_str)
|
||||
message_list.append(
|
||||
platform_message.WeChatForwardLink(xml_data=xml_data_str)
|
||||
)
|
||||
except Exception as e:
|
||||
print(f'解析链接消息失败: {str(e)}')
|
||||
return platform_message.MessageChain(message_list)
|
||||
|
||||
async def _handler_compound_mini_program(
|
||||
self, message: dict, xml_data: ET.Element
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理小程序消息(如小程序卡片、服务通知)"""
|
||||
xml_data_str = ET.tostring(xml_data, encoding='unicode')
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.WeChatForwardMiniPrograms(xml_data=xml_data_str)]
|
||||
)
|
||||
|
||||
async def _handler_default(
|
||||
self, message: Optional[dict], content_no_preifx: str
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理未知消息类型"""
|
||||
if message:
|
||||
msg_type = message['Data']['MsgType']
|
||||
else:
|
||||
msg_type = ''
|
||||
return platform_message.MessageChain(
|
||||
[platform_message.Unknown(text=f'[未知消息类型 msg_type:{msg_type}]')]
|
||||
)
|
||||
|
||||
def _handler_compound_unsupported(
|
||||
self, message: dict, xml_data: str, text: Optional[str] = None
|
||||
) -> platform_message.MessageChain:
|
||||
"""处理未支持复合消息类型(msg_type=49)子类型"""
|
||||
if not text:
|
||||
text = f'[xml_data={xml_data}]'
|
||||
content_list = []
|
||||
content_list.append(
|
||||
platform_message.Unknown(
|
||||
text=f'[处理未支持复合消息类型[msg_type=49]|{text}'
|
||||
)
|
||||
)
|
||||
|
||||
return platform_message.MessageChain(content_list)
|
||||
|
||||
# 返回是否被艾特
|
||||
def _ats_bot(self, message: dict, bot_account_id: str) -> bool:
|
||||
ats_bot = False
|
||||
try:
|
||||
to_user_name = message['Wxid'] # 接收方: 所属微信的wxid
|
||||
raw_content = message['Data']['Content']['string'] # 原始消息内容
|
||||
content_no_prefix, _ = self._extract_content_and_sender(raw_content)
|
||||
# 直接艾特机器人(这个有bug,当被引用的消息里面有@bot,会套娃
|
||||
# ats_bot = ats_bot or (f"@{bot_account_id}" in content_no_prefix)
|
||||
# 文本类@bot
|
||||
push_content = message.get('Data', {}).get('PushContent', '')
|
||||
ats_bot = ats_bot or ('在群聊中@了你' in push_content)
|
||||
# 引用别人时@bot
|
||||
msg_source = message.get('Data', {}).get('MsgSource', '') or ''
|
||||
if len(msg_source) > 0:
|
||||
msg_source_data = ET.fromstring(msg_source)
|
||||
at_user_list = msg_source_data.findtext('atuserlist') or ''
|
||||
ats_bot = ats_bot or (to_user_name in at_user_list)
|
||||
# 引用bot
|
||||
if message.get('Data', {}).get('MsgType', 0) == 49:
|
||||
xml_data = ET.fromstring(content_no_prefix)
|
||||
appmsg_data = xml_data.find('.//appmsg')
|
||||
tousername = message['Wxid']
|
||||
if appmsg_data: # 接收方: 所属微信的wxid
|
||||
quote_id = appmsg_data.find('.//refermsg').findtext(
|
||||
'.//chatusr'
|
||||
) # 引用消息的原发送者
|
||||
ats_bot = ats_bot or (quote_id == tousername)
|
||||
except Exception as e:
|
||||
print(f'_ats_bot got except: {e}')
|
||||
finally:
|
||||
return ats_bot
|
||||
|
||||
# 提取一下content前面的sender_id, 和去掉前缀的内容
|
||||
def _extract_content_and_sender(
|
||||
self, raw_content: str
|
||||
) -> Tuple[str, Optional[str]]:
|
||||
try:
|
||||
# 检查消息开头,如果有 wxid_sbitaz0mt65n22:\n 则删掉
|
||||
# add: 有些用户的wxid不是上述格式。换成user_name:
|
||||
regex = re.compile(r'^[a-zA-Z0-9_\-]{5,20}:')
|
||||
line_split = raw_content.split('\n')
|
||||
if len(line_split) > 0 and regex.match(line_split[0]):
|
||||
raw_content = '\n'.join(line_split[1:])
|
||||
sender_id = line_split[0].strip(':')
|
||||
return raw_content, sender_id
|
||||
except Exception as e:
|
||||
print(f'_extract_content_and_sender got except: {e}')
|
||||
finally:
|
||||
return raw_content, None
|
||||
|
||||
# 是否是群消息
|
||||
def _is_group_message(self, message: dict) -> bool:
|
||||
from_user_name = message['Data']['FromUserName']['string']
|
||||
return from_user_name.endswith('@chatroom')
|
||||
|
||||
|
||||
class GewechatEventConverter(adapter.EventConverter):
|
||||
@@ -314,7 +568,6 @@ class GeWeChatAdapter(adapter.MessagePlatformAdapter):
|
||||
def __init__(self, config: dict, ap: app.Application):
|
||||
self.config = config
|
||||
self.ap = ap
|
||||
|
||||
self.quart_app = quart.Quart(__name__)
|
||||
|
||||
self.message_converter = GewechatMessageConverter(config)
|
||||
@@ -324,6 +577,7 @@ class GeWeChatAdapter(adapter.MessagePlatformAdapter):
|
||||
async def gewechat_callback():
|
||||
data = await quart.request.json
|
||||
# print(json.dumps(data, indent=4, ensure_ascii=False))
|
||||
self.ap.logger.debug(f'Gewechat callback event: {data}')
|
||||
|
||||
if 'data' in data:
|
||||
data['Data'] = data['data']
|
||||
@@ -346,36 +600,105 @@ class GeWeChatAdapter(adapter.MessagePlatformAdapter):
|
||||
|
||||
return 'ok'
|
||||
|
||||
async def send_message(
|
||||
self, target_type: str, target_id: str, message: platform_message.MessageChain
|
||||
async def _handle_message(
|
||||
self, message: platform_message.MessageChain, target_id: str
|
||||
):
|
||||
geweap_msg = await self.message_converter.yiri2target(message)
|
||||
# 此处加上群消息at处理
|
||||
ats = [item['target'] for item in geweap_msg if item['type'] == 'at']
|
||||
"""统一消息处理核心逻辑"""
|
||||
content_list = await self.message_converter.yiri2target(message)
|
||||
at_targets = [item['target'] for item in content_list if item['type'] == 'at']
|
||||
|
||||
for msg in geweap_msg:
|
||||
# at主动发送消息
|
||||
if msg['type'] == 'text':
|
||||
if ats:
|
||||
member_info = self.bot.get_chatroom_member_detail(
|
||||
self.config['app_id'], target_id, ats[::-1]
|
||||
)['data']
|
||||
# 处理@逻辑
|
||||
at_targets = at_targets or []
|
||||
member_info = []
|
||||
if at_targets:
|
||||
member_info = self.bot.get_chatroom_member_detail(
|
||||
self.config['app_id'], target_id, at_targets[::-1]
|
||||
)['data']
|
||||
|
||||
for member in member_info:
|
||||
msg['content'] = f'@{member["nickName"]} {msg["content"]}'
|
||||
self.bot.post_text(
|
||||
# 处理消息组件
|
||||
for msg in content_list:
|
||||
# 文本消息处理@
|
||||
if msg['type'] == 'text' and at_targets:
|
||||
for member in member_info:
|
||||
msg['content'] = f'@{member["nickName"]} {msg["content"]}'
|
||||
|
||||
# 统一消息派发
|
||||
handler_map = {
|
||||
'text': lambda msg: self.bot.post_text(
|
||||
app_id=self.config['app_id'],
|
||||
to_wxid=target_id,
|
||||
content=msg['content'],
|
||||
ats=','.join(ats),
|
||||
)
|
||||
|
||||
elif msg['type'] == 'image':
|
||||
self.bot.post_image(
|
||||
ats=','.join(at_targets),
|
||||
),
|
||||
'image': lambda msg: self.bot.post_image(
|
||||
app_id=self.config['app_id'],
|
||||
to_wxid=target_id,
|
||||
img_url=msg['image'],
|
||||
)
|
||||
),
|
||||
'WeChatForwardMiniPrograms': lambda msg: self.bot.forward_mini_app(
|
||||
app_id=self.config['app_id'],
|
||||
to_wxid=target_id,
|
||||
xml=msg['xml_data'],
|
||||
cover_img_url=msg.get('image_url'),
|
||||
),
|
||||
'WeChatEmoji': lambda msg: self.bot.post_emoji(
|
||||
app_id=self.config['app_id'],
|
||||
to_wxid=target_id,
|
||||
emoji_md5=msg['emoji_md5'],
|
||||
emoji_size=msg['emoji_size'],
|
||||
),
|
||||
'WeChatLink': lambda msg: self.bot.post_link(
|
||||
app_id=self.config['app_id'],
|
||||
to_wxid=target_id,
|
||||
title=msg['link_title'],
|
||||
desc=msg['link_desc'],
|
||||
link_url=msg['link_url'],
|
||||
thumb_url=msg['link_thumb_url'],
|
||||
),
|
||||
'WeChatMiniPrograms': lambda msg: self.bot.post_mini_app(
|
||||
app_id=self.config['app_id'],
|
||||
to_wxid=target_id,
|
||||
mini_app_id=msg['mini_app_id'],
|
||||
display_name=msg['display_name'],
|
||||
page_path=msg['page_path'],
|
||||
cover_img_url=msg['cover_img_url'],
|
||||
title=msg['title'],
|
||||
user_name=msg['user_name'],
|
||||
),
|
||||
'WeChatForwardLink': lambda msg: self.bot.forward_url(
|
||||
app_id=self.config['app_id'], to_wxid=target_id, xml=msg['xml_data']
|
||||
),
|
||||
'WeChatForwardImage': lambda msg: self.bot.forward_image(
|
||||
app_id=self.config['app_id'], to_wxid=target_id, xml=msg['xml_data']
|
||||
),
|
||||
'WeChatForwardFile': lambda msg: self.bot.forward_file(
|
||||
app_id=self.config['app_id'], to_wxid=target_id, xml=msg['xml_data']
|
||||
),
|
||||
'voice': lambda msg: self.bot.post_voice(
|
||||
app_id=self.config['app_id'],
|
||||
to_wxid=target_id,
|
||||
voice_url=msg['url'],
|
||||
voice_duration=msg['length'],
|
||||
),
|
||||
'WeChatAppMsg': lambda msg: self.bot.post_app_msg(
|
||||
app_id=self.config['app_id'],
|
||||
to_wxid=target_id,
|
||||
appmsg=msg['app_msg'],
|
||||
),
|
||||
'at': lambda msg: None,
|
||||
}
|
||||
|
||||
if handler := handler_map.get(msg['type']):
|
||||
handler(msg)
|
||||
else:
|
||||
self.ap.logger.warning(f'未处理的消息类型: {msg["type"]}')
|
||||
continue
|
||||
|
||||
async def send_message(
|
||||
self, target_type: str, target_id: str, message: platform_message.MessageChain
|
||||
):
|
||||
"""主动发送消息"""
|
||||
return await self._handle_message(message, target_id)
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
@@ -383,32 +706,12 @@ class GeWeChatAdapter(adapter.MessagePlatformAdapter):
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
):
|
||||
content_list = await self.message_converter.yiri2target(message)
|
||||
|
||||
ats = [item['target'] for item in content_list if item['type'] == 'at']
|
||||
|
||||
for msg in content_list:
|
||||
if msg['type'] == 'text':
|
||||
if ats:
|
||||
member_info = self.bot.get_chatroom_member_detail(
|
||||
self.config['app_id'],
|
||||
message_source.source_platform_object['Data']['FromUserName'][
|
||||
'string'
|
||||
],
|
||||
ats[::-1],
|
||||
)['data']
|
||||
|
||||
for member in member_info:
|
||||
msg['content'] = f'@{member["nickName"]} {msg["content"]}'
|
||||
|
||||
self.bot.post_text(
|
||||
app_id=self.config['app_id'],
|
||||
to_wxid=message_source.source_platform_object['Data'][
|
||||
'FromUserName'
|
||||
]['string'],
|
||||
content=msg['content'],
|
||||
ats=','.join(ats),
|
||||
)
|
||||
"""回复消息"""
|
||||
if message_source.source_platform_object:
|
||||
target_id = message_source.source_platform_object['Data']['FromUserName'][
|
||||
'string'
|
||||
]
|
||||
return await self._handle_message(message, target_id)
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
pass
|
||||
@@ -448,28 +751,31 @@ class GeWeChatAdapter(adapter.MessagePlatformAdapter):
|
||||
f'{self.config["gewechat_url"]}/v2/api', self.config['token']
|
||||
)
|
||||
|
||||
app_id, error_msg = self.bot.login(self.config['app_id'])
|
||||
if error_msg:
|
||||
raise Exception(f'Gewechat 登录失败: {error_msg}')
|
||||
def gewechat_login_process():
|
||||
app_id, error_msg = self.bot.login(self.config['app_id'])
|
||||
if error_msg:
|
||||
raise Exception(f'Gewechat 登录失败: {error_msg}')
|
||||
|
||||
self.config['app_id'] = app_id
|
||||
self.config['app_id'] = app_id
|
||||
|
||||
self.ap.logger.info(f'Gewechat 登录成功,app_id: {app_id}')
|
||||
self.ap.logger.info(f'Gewechat 登录成功,app_id: {app_id}')
|
||||
|
||||
await self.ap.platform_mgr.write_back_config('gewechat', self, self.config)
|
||||
self.ap.platform_mgr.write_back_config('gewechat', self, self.config)
|
||||
|
||||
# 获取 nickname
|
||||
profile = self.bot.get_profile(self.config['app_id'])
|
||||
self.bot_account_id = profile['data']['nickName']
|
||||
# 获取 nickname
|
||||
profile = self.bot.get_profile(self.config['app_id'])
|
||||
self.bot_account_id = profile['data']['nickName']
|
||||
|
||||
def thread_set_callback():
|
||||
time.sleep(3)
|
||||
ret = self.bot.set_callback(
|
||||
self.config['token'], self.config['callback_url']
|
||||
)
|
||||
print('设置 Gewechat 回调:', ret)
|
||||
time.sleep(2)
|
||||
|
||||
threading.Thread(target=thread_set_callback).start()
|
||||
try:
|
||||
# gewechat-server容器重启, token会变,但是还会登录成功
|
||||
# 换新token也会收不到回调,要重新登陆下。
|
||||
self.bot.set_callback(self.config['token'], self.config['callback_url'])
|
||||
except Exception as e:
|
||||
raise Exception(f'设置 Gewechat 回调失败, token失效: {e}')
|
||||
|
||||
threading.Thread(target=gewechat_login_process).start()
|
||||
|
||||
async def shutdown_trigger_placeholder():
|
||||
while True:
|
||||
|
||||
@@ -1,10 +1,10 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import lark_oapi
|
||||
|
||||
from lark_oapi.api.im.v1 import CreateImageRequest, CreateImageRequestBody
|
||||
import traceback
|
||||
import typing
|
||||
import asyncio
|
||||
import traceback
|
||||
import re
|
||||
import base64
|
||||
import uuid
|
||||
@@ -57,12 +57,24 @@ class LarkMessageConverter(adapter.MessageConverter):
|
||||
message_chain: platform_message.MessageChain, api_client: lark_oapi.Client
|
||||
) -> typing.Tuple[list]:
|
||||
message_elements = []
|
||||
|
||||
pending_paragraph = []
|
||||
|
||||
for msg in message_chain:
|
||||
if isinstance(msg, platform_message.Plain):
|
||||
pending_paragraph.append({'tag': 'md', 'text': msg.text})
|
||||
# Ensure text is valid UTF-8
|
||||
try:
|
||||
text = msg.text.encode('utf-8').decode('utf-8')
|
||||
pending_paragraph.append({'tag': 'md', 'text': text})
|
||||
except UnicodeError:
|
||||
# If text is not valid UTF-8, try to decode with other encodings
|
||||
try:
|
||||
text = msg.text.encode('latin1').decode('utf-8')
|
||||
pending_paragraph.append({'tag': 'md', 'text': text})
|
||||
except UnicodeError:
|
||||
# If still fails, replace invalid characters
|
||||
text = msg.text.encode('utf-8', errors='replace').decode(
|
||||
'utf-8'
|
||||
)
|
||||
pending_paragraph.append({'tag': 'md', 'text': text})
|
||||
elif isinstance(msg, platform_message.At):
|
||||
pending_paragraph.append(
|
||||
{'tag': 'at', 'user_id': msg.target, 'style': []}
|
||||
@@ -73,47 +85,85 @@ class LarkMessageConverter(adapter.MessageConverter):
|
||||
image_bytes = None
|
||||
|
||||
if msg.base64:
|
||||
image_bytes = base64.b64decode(msg.base64)
|
||||
try:
|
||||
# Remove data URL prefix if present
|
||||
if msg.base64.startswith('data:'):
|
||||
msg.base64 = msg.base64.split(',', 1)[1]
|
||||
image_bytes = base64.b64decode(msg.base64)
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
elif msg.url:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(msg.url) as response:
|
||||
image_bytes = await response.read()
|
||||
try:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(msg.url) as response:
|
||||
if response.status == 200:
|
||||
image_bytes = await response.read()
|
||||
else:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
elif msg.path:
|
||||
with open(msg.path, 'rb') as f:
|
||||
image_bytes = f.read()
|
||||
try:
|
||||
with open(msg.path, 'rb') as f:
|
||||
image_bytes = f.read()
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
|
||||
request: CreateImageRequest = (
|
||||
CreateImageRequest.builder()
|
||||
.request_body(
|
||||
CreateImageRequestBody.builder()
|
||||
.image_type('message')
|
||||
.image(image_bytes)
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
if image_bytes is None:
|
||||
continue
|
||||
|
||||
response: CreateImageResponse = await api_client.im.v1.image.acreate(
|
||||
request
|
||||
)
|
||||
try:
|
||||
# Create a temporary file to store the image bytes
|
||||
import tempfile
|
||||
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.im.v1.image.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||||
)
|
||||
with tempfile.NamedTemporaryFile(delete=False) as temp_file:
|
||||
temp_file.write(image_bytes)
|
||||
temp_file.flush()
|
||||
|
||||
image_key = response.data.image_key
|
||||
# Create image request using the temporary file
|
||||
request = (
|
||||
CreateImageRequest.builder()
|
||||
.request_body(
|
||||
CreateImageRequestBody.builder()
|
||||
.image_type('message')
|
||||
.image(open(temp_file.name, 'rb'))
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
|
||||
message_elements.append(pending_paragraph)
|
||||
message_elements.append(
|
||||
[
|
||||
{
|
||||
'tag': 'img',
|
||||
'image_key': image_key,
|
||||
}
|
||||
]
|
||||
)
|
||||
pending_paragraph = []
|
||||
response = await api_client.im.v1.image.acreate(request)
|
||||
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.im.v1.image.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||||
)
|
||||
|
||||
image_key = response.data.image_key
|
||||
|
||||
message_elements.append(pending_paragraph)
|
||||
message_elements.append(
|
||||
[
|
||||
{
|
||||
'tag': 'img',
|
||||
'image_key': image_key,
|
||||
}
|
||||
]
|
||||
)
|
||||
pending_paragraph = []
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
finally:
|
||||
# Clean up the temporary file
|
||||
import os
|
||||
|
||||
if 'temp_file' in locals():
|
||||
os.unlink(temp_file.name)
|
||||
elif isinstance(msg, platform_message.Forward):
|
||||
for node in msg.node_list:
|
||||
message_elements.extend(
|
||||
@@ -326,6 +376,8 @@ class LarkAdapter(adapter.MessagePlatformAdapter):
|
||||
try:
|
||||
data = await quart.request.json
|
||||
|
||||
self.ap.logger.debug(f'Lark callback event: {data}')
|
||||
|
||||
if 'encrypt' in data:
|
||||
cipher = AESCipher(self.config['encrypt-key'])
|
||||
data = cipher.decrypt_string(data['encrypt'])
|
||||
@@ -337,7 +389,6 @@ class LarkAdapter(adapter.MessagePlatformAdapter):
|
||||
type = context.header.event_type
|
||||
|
||||
if 'url_verification' == type:
|
||||
print(data.get('challenge'))
|
||||
# todo 验证verification token
|
||||
return {'challenge': data.get('challenge')}
|
||||
context = EventContext(data)
|
||||
|
||||
204
pkg/platform/sources/slack.py
Normal file
204
pkg/platform/sources/slack.py
Normal file
@@ -0,0 +1,204 @@
|
||||
from __future__ import annotations
|
||||
import typing
|
||||
import asyncio
|
||||
import traceback
|
||||
|
||||
import datetime
|
||||
|
||||
from libs.slack_api.api import SlackClient
|
||||
from pkg.platform.adapter import MessagePlatformAdapter
|
||||
from pkg.platform.types import events as platform_events, message as platform_message
|
||||
from libs.slack_api.slackevent import SlackEvent
|
||||
from pkg.core import app
|
||||
from .. import adapter
|
||||
from ...core import app
|
||||
from ..types import message as platform_message
|
||||
from ..types import events as platform_events
|
||||
from ..types import entities as platform_entities
|
||||
from ...command.errors import ParamNotEnoughError
|
||||
from ...utils import image
|
||||
|
||||
class SlackMessageConverter(adapter.MessageConverter):
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(message_chain:platform_message.MessageChain):
|
||||
content_list = []
|
||||
for msg in message_chain:
|
||||
if type(msg) is platform_message.Plain:
|
||||
content_list.append({
|
||||
"content":msg.text,
|
||||
})
|
||||
|
||||
return content_list
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(message:str,message_id:str,pic_url:str,bot:SlackClient):
|
||||
yiri_msg_list = []
|
||||
yiri_msg_list.append(
|
||||
platform_message.Source(id=message_id,time=datetime.datetime.now())
|
||||
)
|
||||
if pic_url is not None:
|
||||
base64_url = await image.get_slack_image_to_base64(pic_url=pic_url,bot_token=bot.bot_token)
|
||||
yiri_msg_list.append(
|
||||
platform_message.Image(base64=base64_url)
|
||||
)
|
||||
|
||||
yiri_msg_list.append(platform_message.Plain(text=message))
|
||||
chain = platform_message.MessageChain(yiri_msg_list)
|
||||
return chain
|
||||
|
||||
|
||||
class SlackEventConverter(adapter.EventConverter):
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(event:platform_events.MessageEvent) -> SlackEvent:
|
||||
return event.source_platform_object
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(event:SlackEvent,bot:SlackClient):
|
||||
yiri_chain = await SlackMessageConverter.target2yiri(
|
||||
message=event.text,message_id=event.message_id,pic_url=event.pic_url,bot=bot
|
||||
)
|
||||
|
||||
if event.type == 'channel':
|
||||
yiri_chain.insert(0, platform_message.At(target="SlackBot"))
|
||||
|
||||
sender = platform_entities.GroupMember(
|
||||
id = event.user_id,
|
||||
member_name= str(event.sender_name),
|
||||
permission= 'MEMBER',
|
||||
group = platform_entities.Group(
|
||||
id = event.channel_id,
|
||||
name = 'MEMBER',
|
||||
permission= platform_entities.Permission.Member
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0
|
||||
)
|
||||
time = int(datetime.datetime.utcnow().timestamp())
|
||||
return platform_events.GroupMessage(
|
||||
sender = sender,
|
||||
message_chain=yiri_chain,
|
||||
time = time,
|
||||
source_platform_object=event
|
||||
)
|
||||
|
||||
if event.type == 'im':
|
||||
return platform_events.FriendMessage(
|
||||
sender=platform_entities.Friend(
|
||||
id=event.user_id,
|
||||
nickname = event.sender_name,
|
||||
remark=""
|
||||
),
|
||||
message_chain = yiri_chain,
|
||||
time = float(datetime.datetime.now().timestamp()),
|
||||
source_platform_object=event,
|
||||
)
|
||||
|
||||
|
||||
|
||||
|
||||
class SlackAdapter(adapter.MessagePlatformAdapter):
|
||||
bot: SlackClient
|
||||
ap: app.Application
|
||||
bot_account_id: str
|
||||
message_converter: SlackMessageConverter = SlackMessageConverter()
|
||||
event_converter: SlackEventConverter = SlackEventConverter()
|
||||
config: dict
|
||||
|
||||
def __init__(self,config:dict,ap:app.Application):
|
||||
self.config = config
|
||||
self.ap = ap
|
||||
required_keys = [
|
||||
"bot_token",
|
||||
"signing_secret",
|
||||
]
|
||||
missing_keys = [key for key in required_keys if key not in config]
|
||||
if missing_keys:
|
||||
raise ParamNotEnoughError("Slack机器人缺少相关配置项,请查看文档或联系管理员")
|
||||
|
||||
self.bot = SlackClient(
|
||||
bot_token=self.config["bot_token"],
|
||||
signing_secret=self.config["signing_secret"]
|
||||
)
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
):
|
||||
slack_event = await SlackEventConverter.yiri2target(
|
||||
message_source
|
||||
)
|
||||
|
||||
content_list = await SlackMessageConverter.yiri2target(message)
|
||||
|
||||
for content in content_list:
|
||||
if slack_event.type == 'channel':
|
||||
await self.bot.send_message_to_channel(
|
||||
content['content'],slack_event.channel_id
|
||||
)
|
||||
if slack_event.type == 'im':
|
||||
await self.bot.send_message_to_one(
|
||||
content['content'],slack_event.user_id
|
||||
)
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
content_list = await SlackMessageConverter.yiri2target(message)
|
||||
for content in content_list:
|
||||
if target_type == 'person':
|
||||
await self.bot.send_message_to_one(content['content'],target_id)
|
||||
if target_type == 'group':
|
||||
await self.bot.send_message_to_channel(content['content'],target_id)
|
||||
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
callback: typing.Callable[
|
||||
[platform_events.Event, adapter.MessagePlatformAdapter], None
|
||||
],
|
||||
):
|
||||
async def on_message(event:SlackEvent):
|
||||
self.bot_account_id = 'SlackBot'
|
||||
try:
|
||||
return await callback(
|
||||
await self.event_converter.target2yiri(event,self.bot),self
|
||||
)
|
||||
except:
|
||||
traceback.print_exc()
|
||||
|
||||
if event_type == platform_events.FriendMessage:
|
||||
self.bot.on_message("im")(on_message)
|
||||
elif event_type == platform_events.GroupMessage:
|
||||
self.bot.on_message("channel")(on_message)
|
||||
|
||||
|
||||
async def run_async(self):
|
||||
async def shutdown_trigger_placeholder():
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
|
||||
await self.bot.run_task(
|
||||
host="0.0.0.0",
|
||||
port=self.config["port"],
|
||||
shutdown_trigger=shutdown_trigger_placeholder,
|
||||
)
|
||||
|
||||
async def kill(self) -> bool:
|
||||
return False
|
||||
|
||||
async def unregister_listener(
|
||||
self,
|
||||
event_type: type,
|
||||
callback: typing.Callable[[platform_events.Event, MessagePlatformAdapter], None],
|
||||
):
|
||||
return super().unregister_listener(event_type, callback)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
37
pkg/platform/sources/slack.yaml
Normal file
37
pkg/platform/sources/slack.yaml
Normal file
@@ -0,0 +1,37 @@
|
||||
apiVersion: v1
|
||||
kind: MessagePlatformAdapter
|
||||
metadata:
|
||||
name: slack
|
||||
label:
|
||||
en_US: Slack API
|
||||
zh_CN: Slack API
|
||||
description:
|
||||
en_US: Slack API
|
||||
zh_CN: Slack API
|
||||
spec:
|
||||
config:
|
||||
- name: bot_token
|
||||
label:
|
||||
en_US: Bot Token
|
||||
zh_CN: 机器人令牌
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
- name: signing_secret
|
||||
label:
|
||||
en_US: signing_secret
|
||||
zh_CN: 密钥
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
- name: port
|
||||
label:
|
||||
en_US: Port
|
||||
zh_CN: 监听端口
|
||||
type: int
|
||||
required: true
|
||||
default: 2288
|
||||
execution:
|
||||
python:
|
||||
path: ./slack.py
|
||||
attr: SlackAdapter
|
||||
@@ -4,7 +4,7 @@ import telegram
|
||||
import telegram.ext
|
||||
from telegram import Update
|
||||
from telegram.ext import ApplicationBuilder, ContextTypes, MessageHandler, filters
|
||||
|
||||
import telegramify_markdown
|
||||
import typing
|
||||
import traceback
|
||||
import base64
|
||||
@@ -74,7 +74,8 @@ class TelegramMessageConverter(adapter.MessageConverter):
|
||||
message_components.extend(parse_message_text(message_text))
|
||||
|
||||
if message.photo:
|
||||
message_components.extend(parse_message_text(message.caption))
|
||||
if message.caption:
|
||||
message_components.extend(parse_message_text(message.caption))
|
||||
|
||||
file = await message.photo[-1].get_file()
|
||||
|
||||
@@ -117,7 +118,7 @@ class TelegramEventConverter(adapter.EventConverter):
|
||||
time=event.message.date.timestamp(),
|
||||
source_platform_object=event,
|
||||
)
|
||||
elif event.effective_chat.type == 'group':
|
||||
elif event.effective_chat.type == 'group' or 'supergroup':
|
||||
return platform_events.GroupMessage(
|
||||
sender=platform_entities.GroupMember(
|
||||
id=event.effective_chat.id,
|
||||
@@ -196,17 +197,24 @@ class TelegramAdapter(adapter.MessagePlatformAdapter):
|
||||
|
||||
for component in components:
|
||||
if component['type'] == 'text':
|
||||
if self.config['markdown_card'] is True:
|
||||
content = telegramify_markdown.markdownify(
|
||||
content=component['text'],
|
||||
)
|
||||
else:
|
||||
content = component['text']
|
||||
args = {
|
||||
'chat_id': message_source.source_platform_object.effective_chat.id,
|
||||
'text': component['text'],
|
||||
'text': content,
|
||||
}
|
||||
if self.config['markdown_card'] is True:
|
||||
args['parse_mode'] = 'MarkdownV2'
|
||||
if quote_origin:
|
||||
args['reply_to_message_id'] = (
|
||||
message_source.source_platform_object.message.id
|
||||
)
|
||||
|
||||
if quote_origin:
|
||||
args['reply_to_message_id'] = (
|
||||
message_source.source_platform_object.message.id
|
||||
)
|
||||
|
||||
await self.bot.send_message(**args)
|
||||
await self.bot.send_message(**args)
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
return False
|
||||
|
||||
223
pkg/platform/sources/wecomcs.py
Normal file
223
pkg/platform/sources/wecomcs.py
Normal file
@@ -0,0 +1,223 @@
|
||||
from __future__ import annotations
|
||||
import typing
|
||||
import asyncio
|
||||
import traceback
|
||||
|
||||
import datetime
|
||||
|
||||
from libs.wecom_customer_service_api.api import WecomCSClient
|
||||
from pkg.platform.adapter import MessagePlatformAdapter
|
||||
from pkg.platform.types import events as platform_events, message as platform_message
|
||||
from libs.wecom_customer_service_api.wecomcsevent import WecomCSEvent
|
||||
from pkg.core import app
|
||||
from .. import adapter
|
||||
from ...core import app
|
||||
from ..types import message as platform_message
|
||||
from ..types import events as platform_events
|
||||
from ..types import entities as platform_entities
|
||||
from ...command.errors import ParamNotEnoughError
|
||||
from ...utils import image
|
||||
|
||||
class WecomMessageConverter(adapter.MessageConverter):
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(
|
||||
message_chain: platform_message.MessageChain, bot: WecomCSClient
|
||||
):
|
||||
content_list = []
|
||||
|
||||
for msg in message_chain:
|
||||
if type(msg) is platform_message.Plain:
|
||||
content_list.append({
|
||||
"type": "text",
|
||||
"content": msg.text,
|
||||
})
|
||||
elif type(msg) is platform_message.Image:
|
||||
content_list.append({
|
||||
"type": "image",
|
||||
"media_id": await bot.get_media_id(msg),
|
||||
})
|
||||
elif type(msg) is platform_message.Forward:
|
||||
for node in msg.node_list:
|
||||
content_list.extend((await WecomMessageConverter.yiri2target(node.message_chain, bot)))
|
||||
else:
|
||||
content_list.append({
|
||||
"type": "text",
|
||||
"content": str(msg),
|
||||
})
|
||||
|
||||
return content_list
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(message: str, message_id: int = -1):
|
||||
yiri_msg_list = []
|
||||
yiri_msg_list.append(
|
||||
platform_message.Source(id=message_id, time=datetime.datetime.now())
|
||||
)
|
||||
|
||||
yiri_msg_list.append(platform_message.Plain(text=message))
|
||||
chain = platform_message.MessageChain(yiri_msg_list)
|
||||
|
||||
return chain
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri_image(picurl: str, message_id: int = -1):
|
||||
yiri_msg_list = []
|
||||
yiri_msg_list.append(
|
||||
platform_message.Source(id=message_id, time=datetime.datetime.now())
|
||||
)
|
||||
yiri_msg_list.append(platform_message.Image(base64=picurl))
|
||||
chain = platform_message.MessageChain(yiri_msg_list)
|
||||
|
||||
return chain
|
||||
|
||||
|
||||
class WecomEventConverter:
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(
|
||||
event: platform_events.Event, bot_account_id: int, bot: WecomCSClient
|
||||
) -> WecomCSEvent:
|
||||
# only for extracting user information
|
||||
|
||||
if type(event) is platform_events.GroupMessage:
|
||||
pass
|
||||
|
||||
if type(event) is platform_events.FriendMessage:
|
||||
return event.source_platform_object
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(event: WecomCSEvent):
|
||||
"""
|
||||
将 WecomEvent 转换为平台的 FriendMessage 对象。
|
||||
|
||||
Args:
|
||||
event (WecomEvent): 企业微信客服事件。
|
||||
|
||||
Returns:
|
||||
platform_events.FriendMessage: 转换后的 FriendMessage 对象。
|
||||
"""
|
||||
# 转换消息链
|
||||
if event.type == "text":
|
||||
yiri_chain = await WecomMessageConverter.target2yiri(
|
||||
event.message, event.message_id
|
||||
)
|
||||
friend = platform_entities.Friend(
|
||||
id=f"u{event.user_id}",
|
||||
nickname=str(event.user_id),
|
||||
remark="",
|
||||
)
|
||||
|
||||
return platform_events.FriendMessage(
|
||||
sender=friend, message_chain=yiri_chain, time=event.timestamp, source_platform_object=event
|
||||
)
|
||||
elif event.type == "image":
|
||||
friend = platform_entities.Friend(
|
||||
id=f"u{event.user_id}",
|
||||
nickname=str(event.user_id),
|
||||
remark="",
|
||||
)
|
||||
|
||||
yiri_chain = await WecomMessageConverter.target2yiri_image(
|
||||
picurl=event.picurl, message_id=event.message_id
|
||||
)
|
||||
|
||||
return platform_events.FriendMessage(
|
||||
sender=friend, message_chain=yiri_chain, time=event.timestamp, source_platform_object=event
|
||||
)
|
||||
|
||||
|
||||
class WecomCSAdapter(adapter.MessagePlatformAdapter):
|
||||
|
||||
bot: WecomCSClient
|
||||
ap: app.Application
|
||||
bot_account_id: str
|
||||
message_converter: WecomMessageConverter = WecomMessageConverter()
|
||||
event_converter: WecomEventConverter = WecomEventConverter()
|
||||
config: dict
|
||||
|
||||
def __init__(self, config: dict, ap: app.Application):
|
||||
self.config = config
|
||||
|
||||
self.ap = ap
|
||||
|
||||
required_keys = [
|
||||
"corpid",
|
||||
"secret",
|
||||
"token",
|
||||
"EncodingAESKey",
|
||||
]
|
||||
missing_keys = [key for key in required_keys if key not in config]
|
||||
if missing_keys:
|
||||
raise ParamNotEnoughError("企业微信客服缺少相关配置项,请查看文档或联系管理员")
|
||||
|
||||
self.bot = WecomCSClient(
|
||||
corpid=config["corpid"],
|
||||
secret=config["secret"],
|
||||
token=config["token"],
|
||||
EncodingAESKey=config["EncodingAESKey"],
|
||||
)
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
):
|
||||
|
||||
Wecom_event = await WecomEventConverter.yiri2target(
|
||||
message_source, self.bot_account_id, self.bot
|
||||
)
|
||||
content_list = await WecomMessageConverter.yiri2target(message, self.bot)
|
||||
|
||||
for content in content_list:
|
||||
if content["type"] == "text":
|
||||
await self.bot.send_text_msg(open_kfid=Wecom_event.receiver_id,external_userid=Wecom_event.user_id,msgid=Wecom_event.message_id,content=content["content"])
|
||||
|
||||
async def send_message(
|
||||
self, target_type: str, target_id: str, message: platform_message.MessageChain
|
||||
):
|
||||
pass
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
callback: typing.Callable[
|
||||
[platform_events.Event, adapter.MessagePlatformAdapter], None
|
||||
],
|
||||
):
|
||||
async def on_message(event: WecomCSEvent):
|
||||
self.bot_account_id = event.receiver_id
|
||||
try:
|
||||
return await callback(
|
||||
await self.event_converter.target2yiri(event), self
|
||||
)
|
||||
except:
|
||||
traceback.print_exc()
|
||||
|
||||
if event_type == platform_events.FriendMessage:
|
||||
self.bot.on_message("text")(on_message)
|
||||
self.bot.on_message("image")(on_message)
|
||||
elif event_type == platform_events.GroupMessage:
|
||||
pass
|
||||
|
||||
async def run_async(self):
|
||||
async def shutdown_trigger_placeholder():
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
|
||||
await self.bot.run_task(
|
||||
host="0.0.0.0",
|
||||
port=self.config["port"],
|
||||
shutdown_trigger=shutdown_trigger_placeholder,
|
||||
)
|
||||
|
||||
async def kill(self) -> bool:
|
||||
return False
|
||||
|
||||
async def unregister_listener(
|
||||
self,
|
||||
event_type: type,
|
||||
callback: typing.Callable[[platform_events.Event, MessagePlatformAdapter], None],
|
||||
):
|
||||
return super().unregister_listener(event_type, callback)
|
||||
51
pkg/platform/sources/wecomcs.yaml
Normal file
51
pkg/platform/sources/wecomcs.yaml
Normal file
@@ -0,0 +1,51 @@
|
||||
apiVersion: v1
|
||||
kind: MessagePlatformAdapter
|
||||
metadata:
|
||||
name: wecomcs
|
||||
label:
|
||||
en_US: WeComCustomerService
|
||||
zh_CN: 企业微信客服
|
||||
description:
|
||||
en_US: WeComCSAdapter
|
||||
zh_CN: 企业微信客服适配器
|
||||
spec:
|
||||
config:
|
||||
- name: port
|
||||
label:
|
||||
en_US: Port
|
||||
zh_CN: 监听端口
|
||||
type: int
|
||||
required: true
|
||||
default: 2289
|
||||
- name: corpid
|
||||
label:
|
||||
en_US: Corpid
|
||||
zh_CN: 企业ID
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
- name: secret
|
||||
label:
|
||||
en_US: Secret
|
||||
zh_CN: 密钥
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
- name: token
|
||||
label:
|
||||
en_US: Token
|
||||
zh_CN: 令牌
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
- name: EncodingAESKey
|
||||
label:
|
||||
en_US: EncodingAESKey
|
||||
zh_CN: 消息加解密密钥
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
execution:
|
||||
python:
|
||||
path: ./wecomcs.py
|
||||
attr: WecomCSAdapter
|
||||
@@ -1,15 +1,14 @@
|
||||
import itertools
|
||||
import logging
|
||||
import typing
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
import typing
|
||||
|
||||
import pydantic.v1 as pydantic
|
||||
|
||||
from . import entities as platform_entities
|
||||
from .base import PlatformBaseModel, PlatformIndexedMetaclass, PlatformIndexedModel
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@@ -685,6 +684,9 @@ class Unknown(MessageComponent):
|
||||
text: str
|
||||
"""文本。"""
|
||||
|
||||
def __str__(self):
|
||||
return f'Unknown Message: {self.text}'
|
||||
|
||||
|
||||
class Voice(MessageComponent):
|
||||
"""语音。"""
|
||||
@@ -863,3 +865,116 @@ class File(MessageComponent):
|
||||
|
||||
def __str__(self):
|
||||
return f'[文件]{self.name}'
|
||||
|
||||
|
||||
# ================ 个人微信专用组件 ================
|
||||
|
||||
|
||||
class WeChatMiniPrograms(MessageComponent):
|
||||
"""小程序。个人微信专用组件。"""
|
||||
|
||||
type: str = 'WeChatMiniPrograms'
|
||||
"""小程序id"""
|
||||
mini_app_id: str
|
||||
"""小程序归属用户id"""
|
||||
user_name: str
|
||||
"""小程序名称"""
|
||||
display_name: typing.Optional[str] = ''
|
||||
"""打开地址"""
|
||||
page_path: typing.Optional[str] = ''
|
||||
"""小程序标题"""
|
||||
title: typing.Optional[str] = ''
|
||||
"""首页图片"""
|
||||
image_url: typing.Optional[str] = ''
|
||||
|
||||
|
||||
class WeChatForwardMiniPrograms(MessageComponent):
|
||||
"""转发小程序。个人微信专用组件。"""
|
||||
|
||||
type: str = 'WeChatForwardMiniPrograms'
|
||||
"""xml数据"""
|
||||
xml_data: str
|
||||
"""首页图片"""
|
||||
image_url: typing.Optional[str] = None
|
||||
|
||||
def __str__(self):
|
||||
return self.xml_data
|
||||
|
||||
|
||||
class WeChatEmoji(MessageComponent):
|
||||
"""emoji表情。个人微信专用组件。"""
|
||||
|
||||
type: str = 'WeChatEmoji'
|
||||
"""emojimd5"""
|
||||
emoji_md5: str
|
||||
"""emoji大小"""
|
||||
emoji_size: int
|
||||
|
||||
|
||||
class WeChatLink(MessageComponent):
|
||||
"""发送链接。个人微信专用组件。"""
|
||||
|
||||
type: str = 'WeChatLink'
|
||||
"""标题"""
|
||||
link_title: str = ''
|
||||
"""链接描述"""
|
||||
link_desc: str = ''
|
||||
"""链接地址"""
|
||||
link_url: str = ''
|
||||
"""链接略缩图"""
|
||||
link_thumb_url: str = ''
|
||||
|
||||
|
||||
class WeChatForwardLink(MessageComponent):
|
||||
"""转发链接。个人微信专用组件。"""
|
||||
|
||||
type: str = 'WeChatForwardLink'
|
||||
"""xml数据"""
|
||||
xml_data: str
|
||||
|
||||
def __str__(self):
|
||||
return self.xml_data
|
||||
|
||||
|
||||
class WeChatForwardImage(MessageComponent):
|
||||
"""转发图片。个人微信专用组件。"""
|
||||
|
||||
type: str = 'WeChatForwardImage'
|
||||
"""xml数据"""
|
||||
xml_data: str
|
||||
|
||||
def __str__(self):
|
||||
return self.xml_data
|
||||
|
||||
|
||||
class WeChatForwardFile(MessageComponent):
|
||||
"""转发文件。个人微信专用组件。"""
|
||||
|
||||
type: str = 'WeChatForwardFile'
|
||||
"""xml数据"""
|
||||
xml_data: str
|
||||
|
||||
def __str__(self):
|
||||
return self.xml_data
|
||||
|
||||
|
||||
class WeChatAppMsg(MessageComponent):
|
||||
"""通用appmsg发送。个人微信专用组件。"""
|
||||
|
||||
type: str = 'WeChatAppMsg'
|
||||
"""xml数据"""
|
||||
app_msg: str
|
||||
|
||||
def __str__(self):
|
||||
return self.app_msg
|
||||
|
||||
|
||||
class WeChatForwardQuote(MessageComponent):
|
||||
"""转发引用消息。个人微信专用组件。"""
|
||||
|
||||
type: str = 'WeChatForwardQuote'
|
||||
"""xml数据"""
|
||||
app_msg: str
|
||||
|
||||
def __str__(self):
|
||||
return self.app_msg
|
||||
|
||||
@@ -2,7 +2,8 @@ from __future__ import annotations
|
||||
|
||||
import typing
|
||||
import json
|
||||
|
||||
import platform
|
||||
import socket
|
||||
import anthropic
|
||||
import httpx
|
||||
|
||||
@@ -25,6 +26,12 @@ class AnthropicMessages(requester.LLMAPIRequester):
|
||||
}
|
||||
|
||||
async def initialize(self):
|
||||
# 兼容 Windows 缺失 TCP_KEEPINTVL 和 TCP_KEEPCNT 的问题
|
||||
if platform.system() == 'Windows':
|
||||
if not hasattr(socket, 'TCP_KEEPINTVL'):
|
||||
socket.TCP_KEEPINTVL = 0
|
||||
if not hasattr(socket, 'TCP_KEEPCNT'):
|
||||
socket.TCP_KEEPCNT = 0
|
||||
httpx_client = anthropic._base_client.AsyncHttpxClientWrapper(
|
||||
base_url=self.requester_cfg['base_url'],
|
||||
# cast to a valid type because mypy doesn't understand our type narrowing
|
||||
@@ -61,9 +68,11 @@ class AnthropicMessages(requester.LLMAPIRequester):
|
||||
if m.role == 'system':
|
||||
system_role_message = m
|
||||
|
||||
messages.pop(i)
|
||||
break
|
||||
|
||||
if system_role_message:
|
||||
messages.pop(i)
|
||||
|
||||
if isinstance(system_role_message, llm_entities.Message) and isinstance(
|
||||
system_role_message.content, str
|
||||
):
|
||||
|
||||
@@ -3,10 +3,10 @@ from __future__ import annotations
|
||||
import typing
|
||||
import openai
|
||||
|
||||
from . import chatcmpl
|
||||
from . import modelscopechatcmpl
|
||||
|
||||
|
||||
class BailianChatCompletions(chatcmpl.OpenAIChatCompletions):
|
||||
class BailianChatCompletions(modelscopechatcmpl.ModelScopeChatCompletions):
|
||||
"""阿里云百炼大模型平台 ChatCompletion API 请求器"""
|
||||
|
||||
client: openai.AsyncClient
|
||||
|
||||
@@ -26,7 +26,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
|
||||
async def initialize(self):
|
||||
self.client = openai.AsyncClient(
|
||||
api_key='',
|
||||
base_url=self.requester_cfg['base_url'],
|
||||
base_url=self.requester_cfg['base-url'].replace(' ', ''),
|
||||
timeout=self.requester_cfg['timeout'],
|
||||
http_client=httpx.AsyncClient(
|
||||
trust_env=True, timeout=self.requester_cfg['timeout']
|
||||
@@ -36,8 +36,9 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
|
||||
async def _req(
|
||||
self,
|
||||
args: dict,
|
||||
extra_body: dict = {},
|
||||
) -> chat_completion.ChatCompletion:
|
||||
return await self.client.chat.completions.create(**args)
|
||||
return await self.client.chat.completions.create(**args, extra_body=extra_body)
|
||||
|
||||
async def _make_msg(
|
||||
self,
|
||||
@@ -49,6 +50,21 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
|
||||
if 'role' not in chatcmpl_message or chatcmpl_message['role'] is None:
|
||||
chatcmpl_message['role'] = 'assistant'
|
||||
|
||||
reasoning_content = (
|
||||
chatcmpl_message['reasoning_content']
|
||||
if 'reasoning_content' in chatcmpl_message
|
||||
else None
|
||||
)
|
||||
|
||||
# deepseek的reasoner模型
|
||||
if reasoning_content is not None:
|
||||
chatcmpl_message['content'] = (
|
||||
'<think>\n'
|
||||
+ reasoning_content
|
||||
+ '\n</think>\n'
|
||||
+ chatcmpl_message['content']
|
||||
)
|
||||
|
||||
message = llm_entities.Message(**chatcmpl_message)
|
||||
|
||||
return message
|
||||
@@ -87,7 +103,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
|
||||
args['messages'] = messages
|
||||
|
||||
# 发送请求
|
||||
resp = await self._req(args)
|
||||
resp = await self._req(args, extra_body=self.requester_cfg['args'])
|
||||
|
||||
# 处理请求结果
|
||||
message = await self._make_msg(resp)
|
||||
|
||||
@@ -47,7 +47,7 @@ class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
|
||||
args['messages'] = messages
|
||||
|
||||
# 发送请求
|
||||
resp = await self._req(args)
|
||||
resp = await self._req(args, extra_body=self.requester_cfg['args'])
|
||||
|
||||
if resp is None:
|
||||
raise errors.RequesterError('接口返回为空,请确定模型提供商服务是否正常')
|
||||
|
||||
@@ -44,7 +44,7 @@ class GiteeAIChatCompletions(chatcmpl.OpenAIChatCompletions):
|
||||
|
||||
args['messages'] = req_messages
|
||||
|
||||
resp = await self._req(args)
|
||||
resp = await self._req(args, extra_body=self.requester_cfg['args'])
|
||||
|
||||
message = await self._make_msg(resp)
|
||||
|
||||
|
||||
207
pkg/provider/modelmgr/requesters/modelscopechatcmpl.py
Normal file
207
pkg/provider/modelmgr/requesters/modelscopechatcmpl.py
Normal file
@@ -0,0 +1,207 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import typing
|
||||
import json
|
||||
import base64
|
||||
from typing import AsyncGenerator
|
||||
|
||||
import openai
|
||||
import openai.types.chat.chat_completion as chat_completion
|
||||
import openai.types.chat.chat_completion_message_tool_call as chat_completion_message_tool_call
|
||||
import httpx
|
||||
import aiohttp
|
||||
import async_lru
|
||||
|
||||
from .. import entities, errors, requester
|
||||
from ....core import entities as core_entities, app
|
||||
from ... import entities as llm_entities
|
||||
from ...tools import entities as tools_entities
|
||||
from ....utils import image
|
||||
|
||||
|
||||
class ModelScopeChatCompletions(requester.LLMAPIRequester):
|
||||
"""ModelScope ChatCompletion API 请求器"""
|
||||
|
||||
client: openai.AsyncClient
|
||||
|
||||
requester_cfg: dict
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
|
||||
self.requester_cfg = self.ap.provider_cfg.data['requester']['modelscope-chat-completions']
|
||||
|
||||
async def initialize(self):
|
||||
|
||||
self.client = openai.AsyncClient(
|
||||
api_key="",
|
||||
base_url=self.requester_cfg['base-url'],
|
||||
timeout=self.requester_cfg['timeout'],
|
||||
http_client=httpx.AsyncClient(
|
||||
trust_env=True,
|
||||
timeout=self.requester_cfg['timeout']
|
||||
)
|
||||
)
|
||||
|
||||
async def _req(
|
||||
self,
|
||||
args: dict,
|
||||
) -> chat_completion.ChatCompletion:
|
||||
args["stream"] = True
|
||||
|
||||
chunk = None
|
||||
|
||||
pending_content = ""
|
||||
|
||||
tool_calls = []
|
||||
|
||||
resp_gen: openai.AsyncStream = await self.client.chat.completions.create(**args)
|
||||
|
||||
async for chunk in resp_gen:
|
||||
# print(chunk)
|
||||
if not chunk or not chunk.id or not chunk.choices or not chunk.choices[0] or not chunk.choices[0].delta:
|
||||
continue
|
||||
|
||||
if chunk.choices[0].delta.content is not None:
|
||||
pending_content += chunk.choices[0].delta.content
|
||||
|
||||
if chunk.choices[0].delta.tool_calls is not None:
|
||||
for tool_call in chunk.choices[0].delta.tool_calls:
|
||||
for tc in tool_calls:
|
||||
if tc.index == tool_call.index:
|
||||
tc.function.arguments += tool_call.function.arguments
|
||||
break
|
||||
else:
|
||||
tool_calls.append(tool_call)
|
||||
|
||||
if chunk.choices[0].finish_reason is not None:
|
||||
break
|
||||
|
||||
real_tool_calls = []
|
||||
|
||||
for tc in tool_calls:
|
||||
function = chat_completion_message_tool_call.Function(
|
||||
name=tc.function.name,
|
||||
arguments=tc.function.arguments
|
||||
)
|
||||
real_tool_calls.append(chat_completion_message_tool_call.ChatCompletionMessageToolCall(
|
||||
id=tc.id,
|
||||
function=function,
|
||||
type="function"
|
||||
))
|
||||
|
||||
return chat_completion.ChatCompletion(
|
||||
id=chunk.id,
|
||||
object="chat.completion",
|
||||
created=chunk.created,
|
||||
choices=[
|
||||
chat_completion.Choice(
|
||||
index=0,
|
||||
message=chat_completion.ChatCompletionMessage(
|
||||
role="assistant",
|
||||
content=pending_content,
|
||||
tool_calls=real_tool_calls if len(real_tool_calls) > 0 else None
|
||||
),
|
||||
finish_reason=chunk.choices[0].finish_reason if hasattr(chunk.choices[0], 'finish_reason') and chunk.choices[0].finish_reason is not None else 'stop',
|
||||
logprobs=chunk.choices[0].logprobs,
|
||||
)
|
||||
],
|
||||
model=chunk.model,
|
||||
service_tier=chunk.service_tier if hasattr(chunk, 'service_tier') else None,
|
||||
system_fingerprint=chunk.system_fingerprint if hasattr(chunk, 'system_fingerprint') else None,
|
||||
usage=chunk.usage if hasattr(chunk, 'usage') else None
|
||||
) if chunk else None
|
||||
return await self.client.chat.completions.create(**args)
|
||||
|
||||
async def _make_msg(
|
||||
self,
|
||||
chat_completion: chat_completion.ChatCompletion,
|
||||
) -> llm_entities.Message:
|
||||
chatcmpl_message = chat_completion.choices[0].message.dict()
|
||||
|
||||
# 确保 role 字段存在且不为 None
|
||||
if 'role' not in chatcmpl_message or chatcmpl_message['role'] is None:
|
||||
chatcmpl_message['role'] = 'assistant'
|
||||
|
||||
message = llm_entities.Message(**chatcmpl_message)
|
||||
|
||||
return message
|
||||
|
||||
async def _closure(
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
req_messages: list[dict],
|
||||
use_model: entities.LLMModelInfo,
|
||||
use_funcs: list[tools_entities.LLMFunction] = None,
|
||||
) -> llm_entities.Message:
|
||||
self.client.api_key = use_model.token_mgr.get_token()
|
||||
|
||||
args = self.requester_cfg['args'].copy()
|
||||
args["model"] = use_model.name if use_model.model_name is None else use_model.model_name
|
||||
|
||||
if use_funcs:
|
||||
tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
|
||||
|
||||
if tools:
|
||||
args["tools"] = tools
|
||||
|
||||
# 设置此次请求中的messages
|
||||
messages = req_messages.copy()
|
||||
|
||||
# 检查vision
|
||||
for msg in messages:
|
||||
if 'content' in msg and isinstance(msg["content"], list):
|
||||
for me in msg["content"]:
|
||||
if me["type"] == "image_base64":
|
||||
me["image_url"] = {
|
||||
"url": me["image_base64"]
|
||||
}
|
||||
me["type"] = "image_url"
|
||||
del me["image_base64"]
|
||||
|
||||
args["messages"] = messages
|
||||
|
||||
# 发送请求
|
||||
resp = await self._req(args)
|
||||
|
||||
# 处理请求结果
|
||||
message = await self._make_msg(resp)
|
||||
|
||||
return message
|
||||
|
||||
async def call(
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
model: entities.LLMModelInfo,
|
||||
messages: typing.List[llm_entities.Message],
|
||||
funcs: typing.List[tools_entities.LLMFunction] = None,
|
||||
) -> llm_entities.Message:
|
||||
req_messages = [] # req_messages 仅用于类内,外部同步由 query.messages 进行
|
||||
for m in messages:
|
||||
msg_dict = m.dict(exclude_none=True)
|
||||
content = msg_dict.get("content")
|
||||
if isinstance(content, list):
|
||||
# 检查 content 列表中是否每个部分都是文本
|
||||
if all(isinstance(part, dict) and part.get("type") == "text" for part in content):
|
||||
# 将所有文本部分合并为一个字符串
|
||||
msg_dict["content"] = "\n".join(part["text"] for part in content)
|
||||
req_messages.append(msg_dict)
|
||||
|
||||
try:
|
||||
return await self._closure(query=query, req_messages=req_messages, use_model=model, use_funcs=funcs)
|
||||
except asyncio.TimeoutError:
|
||||
raise errors.RequesterError('请求超时')
|
||||
except openai.BadRequestError as e:
|
||||
if 'context_length_exceeded' in e.message:
|
||||
raise errors.RequesterError(f'上文过长,请重置会话: {e.message}')
|
||||
else:
|
||||
raise errors.RequesterError(f'请求参数错误: {e.message}')
|
||||
except openai.AuthenticationError as e:
|
||||
raise errors.RequesterError(f'无效的 api-key: {e.message}')
|
||||
except openai.NotFoundError as e:
|
||||
raise errors.RequesterError(f'请求路径错误: {e.message}')
|
||||
except openai.RateLimitError as e:
|
||||
raise errors.RequesterError(f'请求过于频繁或余额不足: {e.message}')
|
||||
except openai.APIError as e:
|
||||
raise errors.RequesterError(f'请求错误: {e.message}')
|
||||
34
pkg/provider/modelmgr/requesters/modelscopechatcmpl.yaml
Normal file
34
pkg/provider/modelmgr/requesters/modelscopechatcmpl.yaml
Normal file
@@ -0,0 +1,34 @@
|
||||
apiVersion: v1
|
||||
kind: LLMAPIRequester
|
||||
metadata:
|
||||
name: modelscope-chat-completions
|
||||
label:
|
||||
en_US: ModelScope
|
||||
zh_CN: 魔搭社区
|
||||
spec:
|
||||
config:
|
||||
- name: base-url
|
||||
label:
|
||||
en_US: Base URL
|
||||
zh_CN: 基础 URL
|
||||
type: string
|
||||
required: true
|
||||
default: "https://api-inference.modelscope.cn/v1"
|
||||
- name: args
|
||||
label:
|
||||
en_US: Args
|
||||
zh_CN: 附加参数
|
||||
type: object
|
||||
required: true
|
||||
default: {}
|
||||
- name: timeout
|
||||
label:
|
||||
en_US: Timeout
|
||||
zh_CN: 超时时间
|
||||
type: int
|
||||
required: true
|
||||
default: 120
|
||||
execution:
|
||||
python:
|
||||
path: ./modelscopechatcmpl.py
|
||||
attr: ModelScopeChatCompletions
|
||||
@@ -45,13 +45,13 @@ class MoonshotChatCompletions(chatcmpl.OpenAIChatCompletions):
|
||||
if 'content' in m and isinstance(m['content'], list):
|
||||
m['content'] = ' '.join([c['text'] for c in m['content']])
|
||||
|
||||
# 删除空的
|
||||
messages = [m for m in messages if m['content'].strip() != '']
|
||||
# 删除空的,不知道干嘛的,直接删了。
|
||||
# messages = [m for m in messages if m["content"].strip() != "" and ('tool_calls' not in m or not m['tool_calls'])]
|
||||
|
||||
args['messages'] = messages
|
||||
|
||||
# 发送请求
|
||||
resp = await self._req(args)
|
||||
resp = await self._req(args, extra_body=self.requester_cfg['args'])
|
||||
|
||||
# 处理请求结果
|
||||
message = await self._make_msg(resp)
|
||||
|
||||
20
pkg/provider/modelmgr/requesters/ppiochatcmpl.py
Normal file
20
pkg/provider/modelmgr/requesters/ppiochatcmpl.py
Normal file
@@ -0,0 +1,20 @@
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import openai
|
||||
|
||||
from . import chatcmpl, modelscopechatcmpl
|
||||
from .. import requester
|
||||
from ....core import app
|
||||
|
||||
class PPIOChatCompletions(chatcmpl.OpenAIChatCompletions):
|
||||
"""欧派云 ChatCompletion API 请求器"""
|
||||
|
||||
client: openai.AsyncClient
|
||||
|
||||
requester_cfg: dict
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
|
||||
self.requester_cfg = self.ap.provider_cfg.data['requester']['ppio-chat-completions']
|
||||
34
pkg/provider/modelmgr/requesters/ppiochatcmpl.yaml
Normal file
34
pkg/provider/modelmgr/requesters/ppiochatcmpl.yaml
Normal file
@@ -0,0 +1,34 @@
|
||||
apiVersion: v1
|
||||
kind: LLMAPIRequester
|
||||
metadata:
|
||||
name: ppio-chat-completions
|
||||
label:
|
||||
en_US: ppio
|
||||
zh_CN: 派欧云
|
||||
spec:
|
||||
config:
|
||||
- name: base-url
|
||||
label:
|
||||
en_US: Base URL
|
||||
zh_CN: 基础 URL
|
||||
type: string
|
||||
required: true
|
||||
default: "https://api.ppinfra.com/v3/openai"
|
||||
- name: args
|
||||
label:
|
||||
en_US: Args
|
||||
zh_CN: 附加参数
|
||||
type: object
|
||||
required: true
|
||||
default: {}
|
||||
- name: timeout
|
||||
label:
|
||||
en_US: Timeout
|
||||
zh_CN: 超时时间
|
||||
type: int
|
||||
required: true
|
||||
default: 120
|
||||
execution:
|
||||
python:
|
||||
path: ./ppiochatcmpl.py
|
||||
attr: PPIOChatCompletions
|
||||
@@ -131,6 +131,8 @@ class DifyServiceAPIRunner(runner.RequestRunner):
|
||||
|
||||
inputs.update(query.variables)
|
||||
|
||||
chunk = None # 初始化chunk变量,防止在没有响应时引用错误
|
||||
|
||||
async for chunk in self.dify_client.chat_messages(
|
||||
inputs=inputs,
|
||||
query=plain_text,
|
||||
@@ -163,6 +165,11 @@ class DifyServiceAPIRunner(runner.RequestRunner):
|
||||
)
|
||||
basic_mode_pending_chunk = ''
|
||||
|
||||
if chunk is None:
|
||||
raise errors.DifyAPIError(
|
||||
'Dify API 没有返回任何响应,请检查网络连接和API配置'
|
||||
)
|
||||
|
||||
query.session.using_conversation.uuid = chunk['conversation_id']
|
||||
|
||||
async def _agent_chat_messages(
|
||||
@@ -182,12 +189,16 @@ class DifyServiceAPIRunner(runner.RequestRunner):
|
||||
for image_id in image_ids
|
||||
]
|
||||
|
||||
ignored_events = ['agent_message']
|
||||
ignored_events = []
|
||||
|
||||
inputs = {}
|
||||
|
||||
inputs.update(query.variables)
|
||||
|
||||
pending_agent_message = ''
|
||||
|
||||
chunk = None # 初始化chunk变量,防止在没有响应时引用错误
|
||||
|
||||
async for chunk in self.dify_client.chat_messages(
|
||||
inputs=inputs,
|
||||
query=plain_text,
|
||||
@@ -201,47 +212,63 @@ class DifyServiceAPIRunner(runner.RequestRunner):
|
||||
|
||||
if chunk['event'] in ignored_events:
|
||||
continue
|
||||
if chunk['event'] == 'agent_thought':
|
||||
if (
|
||||
chunk['tool'] != '' and chunk['observation'] != ''
|
||||
): # 工具调用结果,跳过
|
||||
continue
|
||||
|
||||
if chunk['thought'].strip() != '': # 文字回复内容
|
||||
msg = llm_entities.Message(
|
||||
role='assistant',
|
||||
content=chunk['thought'],
|
||||
if chunk['event'] == 'agent_message':
|
||||
pending_agent_message += chunk['answer']
|
||||
else:
|
||||
if pending_agent_message.strip() != '':
|
||||
pending_agent_message = pending_agent_message.replace(
|
||||
'</details>Action:', '</details>'
|
||||
)
|
||||
yield msg
|
||||
|
||||
if chunk['tool']:
|
||||
msg = llm_entities.Message(
|
||||
role='assistant',
|
||||
tool_calls=[
|
||||
llm_entities.ToolCall(
|
||||
id=chunk['id'],
|
||||
type='function',
|
||||
function=llm_entities.FunctionCall(
|
||||
name=chunk['tool'],
|
||||
arguments=json.dumps({}),
|
||||
),
|
||||
)
|
||||
],
|
||||
)
|
||||
yield msg
|
||||
if chunk['event'] == 'message_file':
|
||||
if chunk['type'] == 'image' and chunk['belongs_to'] == 'assistant':
|
||||
base_url = self.dify_client.base_url
|
||||
|
||||
if base_url.endswith('/v1'):
|
||||
base_url = base_url[:-3]
|
||||
|
||||
image_url = base_url + chunk['url']
|
||||
|
||||
yield llm_entities.Message(
|
||||
role='assistant',
|
||||
content=[llm_entities.ContentElement.from_image_url(image_url)],
|
||||
content=self._try_convert_thinking(pending_agent_message),
|
||||
)
|
||||
pending_agent_message = ''
|
||||
|
||||
if chunk['event'] == 'agent_thought':
|
||||
if (
|
||||
chunk['tool'] != '' and chunk['observation'] != ''
|
||||
): # 工具调用结果,跳过
|
||||
continue
|
||||
|
||||
if chunk['tool']:
|
||||
msg = llm_entities.Message(
|
||||
role='assistant',
|
||||
tool_calls=[
|
||||
llm_entities.ToolCall(
|
||||
id=chunk['id'],
|
||||
type='function',
|
||||
function=llm_entities.FunctionCall(
|
||||
name=chunk['tool'],
|
||||
arguments=json.dumps({}),
|
||||
),
|
||||
)
|
||||
],
|
||||
)
|
||||
yield msg
|
||||
if chunk['event'] == 'message_file':
|
||||
if chunk['type'] == 'image' and chunk['belongs_to'] == 'assistant':
|
||||
base_url = self.dify_client.base_url
|
||||
|
||||
if base_url.endswith('/v1'):
|
||||
base_url = base_url[:-3]
|
||||
|
||||
image_url = base_url + chunk['url']
|
||||
|
||||
yield llm_entities.Message(
|
||||
role='assistant',
|
||||
content=[
|
||||
llm_entities.ContentElement.from_image_url(image_url)
|
||||
],
|
||||
)
|
||||
if chunk['event'] == 'error':
|
||||
raise errors.DifyAPIError('dify 服务错误: ' + chunk['message'])
|
||||
|
||||
if chunk is None:
|
||||
raise errors.DifyAPIError(
|
||||
'Dify API 没有返回任何响应,请检查网络连接和API配置'
|
||||
)
|
||||
|
||||
query.session.using_conversation.uuid = chunk['conversation_id']
|
||||
|
||||
|
||||
@@ -203,3 +203,14 @@ async def extract_b64_and_format(image_base64_data: str) -> typing.Tuple[str, st
|
||||
base64_str = image_base64_data.split(',')[-1]
|
||||
image_format = image_base64_data.split(':')[-1].split(';')[0].split('/')[-1]
|
||||
return base64_str, image_format
|
||||
|
||||
|
||||
async def get_slack_image_to_base64(pic_url: str, bot_token: str):
|
||||
headers = {'Authorization': f'Bearer {bot_token}'}
|
||||
try:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(pic_url, headers=headers) as resp:
|
||||
image_data = await resp.read()
|
||||
return base64.b64encode(image_data).decode('utf-8')
|
||||
except Exception as e:
|
||||
raise (e)
|
||||
|
||||
@@ -35,8 +35,11 @@ python-telegram-bot
|
||||
certifi
|
||||
mcp
|
||||
sqlmodel
|
||||
slack_sdk
|
||||
telegramify-markdown
|
||||
|
||||
# indirect
|
||||
taskgroup==0.0.0a4
|
||||
ruff
|
||||
pre-commit
|
||||
pre-commit
|
||||
python-socks
|
||||
@@ -71,29 +71,47 @@
|
||||
"token": ""
|
||||
},
|
||||
{
|
||||
"adapter":"officialaccount",
|
||||
"adapter": "officialaccount",
|
||||
"enable": false,
|
||||
"token": "",
|
||||
"EncodingAESKey":"",
|
||||
"AppID":"",
|
||||
"AppSecret":"",
|
||||
"Mode":"drop",
|
||||
"LoadingMessage":"AI正在思考中,请发送任意内容获取回复。",
|
||||
"EncodingAESKey": "",
|
||||
"AppID": "",
|
||||
"AppSecret": "",
|
||||
"Mode": "drop",
|
||||
"LoadingMessage": "AI正在思考中,请发送任意内容获取回复。",
|
||||
"host": "0.0.0.0",
|
||||
"port": 2287
|
||||
},
|
||||
{
|
||||
"adapter":"dingtalk",
|
||||
"adapter": "dingtalk",
|
||||
"enable": false,
|
||||
"client_id":"",
|
||||
"client_secret":"",
|
||||
"robot_code":"",
|
||||
"robot_name":""
|
||||
"client_id": "",
|
||||
"client_secret": "",
|
||||
"robot_code": "",
|
||||
"robot_name": "",
|
||||
"markdown_card": false
|
||||
},
|
||||
{
|
||||
"adapter":"telegram",
|
||||
"adapter": "telegram",
|
||||
"enable": false,
|
||||
"token":""
|
||||
"token": "",
|
||||
"markdown_card": false
|
||||
},
|
||||
{
|
||||
"adapter": "slack",
|
||||
"enable": false,
|
||||
"bot_token": "",
|
||||
"signing_secret": "",
|
||||
"port": 2288
|
||||
},
|
||||
{
|
||||
"adapter": "wecomcs",
|
||||
"enable": false,
|
||||
"port": 2289,
|
||||
"corpid": "",
|
||||
"secret": "",
|
||||
"token": "",
|
||||
"EncodingAESKey": ""
|
||||
}
|
||||
],
|
||||
"track-function-calls": true,
|
||||
|
||||
@@ -31,6 +31,12 @@
|
||||
],
|
||||
"volcark": [
|
||||
"xxxxxxxx"
|
||||
],
|
||||
"modelscope": [
|
||||
"xxxxxxxx"
|
||||
],
|
||||
"ppio": [
|
||||
"xxxxxxxx"
|
||||
]
|
||||
},
|
||||
"requester": {
|
||||
@@ -95,12 +101,22 @@
|
||||
"args": {},
|
||||
"base-url": "https://ark.cn-beijing.volces.com/api/v3",
|
||||
"timeout": 120
|
||||
},
|
||||
"modelscope-chat-completions": {
|
||||
"base-url": "https://api-inference.modelscope.cn/v1",
|
||||
"args": {},
|
||||
"timeout": 120
|
||||
},
|
||||
"ppio-chat-completions": {
|
||||
"base-url": "https://api.ppinfra.com/v3/openai",
|
||||
"args": {},
|
||||
"timeout": 120
|
||||
}
|
||||
},
|
||||
"model": "gpt-4o",
|
||||
"prompt-mode": "normal",
|
||||
"prompt": {
|
||||
"default": ""
|
||||
"default": "You are a helpful assistant."
|
||||
},
|
||||
"runner": "local-agent",
|
||||
"dify-service-api": {
|
||||
|
||||
Reference in New Issue
Block a user