feat(wechatpadpro): 增强群聊消息中的@消息处理逻辑

添加对群聊消息中@机器人场景的精确识别和处理,提升了消息解析的准确性。
支持多种@格式的检测,包括 msg_source 和 push_content 的判断。
This commit is contained in:
Seayon
2025-06-06 16:53:31 +08:00
parent bb1dec76fa
commit a9dbff756b
@@ -8,7 +8,7 @@ import aiohttp
import websockets
from astrbot import logger
from astrbot.api.message_components import Plain, Image
from astrbot.api.message_components import Plain, Image, At
from astrbot.api.platform import Platform, PlatformMetadata
from astrbot.core.message.message_event_result import MessageChain
from astrbot.core.platform.astrbot_message import (
@@ -569,8 +569,46 @@ class WeChatPadProAdapter(Platform):
if abm.type == MessageType.GROUP_MESSAGE:
parts = content.split(":\n", 1)
if len(parts) == 2:
abm.message_str = parts[1]
abm.message.append(Plain(abm.message_str))
message_content = parts[1]
abm.message_str = message_content
# 检查是否@了机器人,参考 gewechat 的实现方式
# 微信大部分客户端在@用户昵称后面,紧接着是一个\u2005字符(四分之一空格)
at_me = False
# 检查 msg_source 中是否包含机器人的 wxid
# wechatpadpro 的格式: <atuserlist>wxid</atuserlist>
# gewechat 的格式: <atuserlist><![CDATA[wxid]]></atuserlist>
msg_source = raw_message.get("msg_source", "")
if f"<atuserlist>{abm.self_id}</atuserlist>" in msg_source or f"<atuserlist>{abm.self_id}," in msg_source or f",{abm.self_id}</atuserlist>" in msg_source:
at_me = True
# 也检查 push_content 中是否有@提示
push_content = raw_message.get("push_content", "")
if "在群聊中@了你" in push_content:
at_me = True
if at_me:
# 被@了,在消息开头插入At组件(参考gewechat的做法)
bot_nickname = await self._get_group_member_nickname(abm.group_id, abm.self_id)
abm.message.insert(0, At(qq=abm.self_id, name=bot_nickname or abm.self_id))
# 只有当消息内容不仅仅是@时才添加Plain组件
if "\u2005" in message_content:
# 检查@之后是否还有其他内容
parts = message_content.split("\u2005")
if len(parts) > 1 and any(part.strip() for part in parts[1:]):
abm.message.append(Plain(message_content))
else:
# 检查是否只包含@机器人
is_pure_at = False
if bot_nickname and message_content.strip() == f"@{bot_nickname}":
is_pure_at = True
if not is_pure_at:
abm.message.append(Plain(message_content))
else:
# 没有@机器人,作为普通文本处理
abm.message.append(Plain(message_content))
else:
abm.message.append(Plain(abm.message_str))
else: # 私聊消息