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大概修复了@/提及相同名字导致关键词触发的bug

pull/588/head
Bakadax 2025-03-26 21:07:59 +08:00
parent 63a2f1f7ee
commit 82bcf77b72
1 changed files with 5 additions and 2 deletions
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7
src/plugins/chat/utils.py
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@ -46,9 +46,13 @@ def is_mentioned_bot_in_message(message: MessageRecv) -> bool:
"""检查消息是否提到了机器人""" """检查消息是否提到了机器人"""
keywords = [global_config.BOT_NICKNAME] keywords = [global_config.BOT_NICKNAME]
nicknames = global_config.BOT_ALIAS_NAMES nicknames = global_config.BOT_ALIAS_NAMES
message_id = int(re.findall(r"\[CQ:reply,id=([0-9]*)\]", message.raw_message)[0])
result = db.messages.find_one({"message_id": message_id})
message_content = re.sub(r'\[CQ:reply,[\s\S]*?\]','', message.raw_message) message_content = re.sub(r'\[CQ:reply,[\s\S]*?\]','', message.raw_message)
message_content = re.sub(r'\[CQ:cq,[\s\S]*?\]','', message_content)
logger.exception(f"raw_message : {message.raw_message}")
for keyword in keywords: for keyword in keywords:
if f"[回复 {keyword} 的消息: " in message.processed_plain_text: if (f"[回复 {keyword} 的消息: " in message.processed_plain_text) and result == None:
return True return True
if keyword in message_content: if keyword in message_content:
return True return True
@ -57,7 +61,6 @@ def is_mentioned_bot_in_message(message: MessageRecv) -> bool:
return True return True
return False return False
async def get_embedding(text, request_type="embedding"): async def get_embedding(text, request_type="embedding"):
"""获取文本的embedding向量""" """获取文本的embedding向量"""
llm = LLM_request(model=global_config.embedding, request_type=request_type) llm = LLM_request(model=global_config.embedding, request_type=request_type)