115 lines
5.3 KiB
Python
115 lines
5.3 KiB
Python
import copy
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from sys import maxsize
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import astrbot.api.message_components as Comp
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from astrbot.api import logger
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from astrbot.api.event import AstrMessageEvent, filter
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from astrbot.api.star import Context, Star
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from astrbot.core.utils.session_waiter import (
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FILTERS,
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USER_SESSIONS,
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SessionController,
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SessionWaiter,
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session_waiter,
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)
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class Main(Star):
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"""会话控制"""
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def __init__(self, context: Context):
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super().__init__(context)
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@filter.event_message_type(filter.EventMessageType.ALL, priority=maxsize)
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async def handle_session_control_agent(self, event: AstrMessageEvent):
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"""会话控制代理"""
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for session_filter in FILTERS:
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session_id = session_filter.filter(event)
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if session_id in USER_SESSIONS:
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await SessionWaiter.trigger(session_id, event)
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event.stop_event()
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@filter.event_message_type(filter.EventMessageType.ALL, priority=maxsize - 1)
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async def handle_empty_mention(self, event: AstrMessageEvent):
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"""实现了对只有一个 @ 的消息内容的处理"""
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try:
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messages = event.get_messages()
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cfg = self.context.get_config(umo=event.unified_msg_origin)
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p_settings = cfg["platform_settings"]
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wake_prefix = cfg.get("wake_prefix", [])
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if len(messages) == 1:
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if (
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isinstance(messages[0], Comp.At)
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and str(messages[0].qq) == str(event.get_self_id())
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and p_settings.get("empty_mention_waiting", True)
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) or (
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isinstance(messages[0], Comp.Plain)
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and messages[0].text.strip() in wake_prefix
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):
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if p_settings.get("empty_mention_waiting_need_reply", True):
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try:
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# 尝试使用 LLM 生成更生动的回复
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func_tools_mgr = self.context.get_llm_tool_manager()
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# 获取用户当前的对话信息
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curr_cid = await self.context.conversation_manager.get_curr_conversation_id(
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event.unified_msg_origin,
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)
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conversation = None
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if curr_cid:
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conversation = await self.context.conversation_manager.get_conversation(
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event.unified_msg_origin,
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curr_cid,
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)
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else:
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# 创建新对话
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curr_cid = await self.context.conversation_manager.new_conversation(
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event.unified_msg_origin,
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platform_id=event.get_platform_id(),
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)
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# 使用 LLM 生成回复
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yield event.request_llm(
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prompt=(
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"注意，你正在社交媒体上中与用户进行聊天，用户只是通过@来唤醒你，但并未在这条消息中输入内容，他可能会在接下来一条发送他想发送的内容。"
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"你友好地询问用户想要聊些什么或者需要什么帮助，回复要符合人设，不要太过机械化。"
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"请注意，你仅需要输出要回复用户的内容，不要输出其他任何东西"
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),
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func_tool_manager=func_tools_mgr,
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session_id=curr_cid,
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contexts=[],
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system_prompt="",
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conversation=conversation,
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)
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except Exception as e:
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logger.error(f"LLM response failed: {e!s}")
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# LLM 回复失败，使用原始预设回复
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yield event.plain_result("想要问什么呢？😄")
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@session_waiter(60)
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async def empty_mention_waiter(
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controller: SessionController,
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event: AstrMessageEvent,
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):
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event.message_obj.message.insert(
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0,
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Comp.At(qq=event.get_self_id(), name=event.get_self_id()),
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)
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new_event = copy.copy(event)
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# 重新推入事件队列
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self.context.get_event_queue().put_nowait(new_event)
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event.stop_event()
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controller.stop()
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try:
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await empty_mention_waiter(event)
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except TimeoutError as _:
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pass
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except Exception as e:
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yield event.plain_result("发生错误，请联系管理员: " + str(e))
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finally:
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event.stop_event()
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except Exception as e:
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logger.error("handle_empty_mention error: " + str(e))
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