481252d660
将同步调用改为异步调用以提升性能，重构兴趣值计算流程以支持更灵活的组件化架构。主要改进包括： - 异步化ChatManager相关方法，避免阻塞主线程 - 重构兴趣值计算系统，从插件内部计算改为通过兴趣管理器统一处理 - 新增should_act字段支持更细粒度的动作决策 - 优化初始化逻辑，避免构造函数中的异步操作 - 扩展插件系统支持兴趣计算器组件注册 - 更新数据库模型以支持新的兴趣值相关字段 这些改进提升了系统的响应性能和可扩展性，同时保持了API的向后兼容性。
504 lines
16 KiB
Python
504 lines
16 KiB
Python
"""
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发送API模块
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专门负责发送各种类型的消息，采用标准Python包设计模式
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使用方式：
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from src.plugin_system.apis import send_api
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# 方式1：直接使用stream_id（推荐）
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await send_api.text_to_stream("hello", stream_id)
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await send_api.emoji_to_stream(emoji_base64, stream_id)
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await send_api.custom_to_stream("video", video_data, stream_id)
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# 方式2：使用群聊/私聊指定函数
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await send_api.text_to_group("hello", "123456")
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await send_api.text_to_user("hello", "987654")
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# 方式3：使用通用custom_message函数
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await send_api.custom_message("video", video_data, "123456", True)
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# 方式4：向适配器发送命令并获取返回值
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response = await send_api.adapter_command_to_stream(
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"get_group_list", {}, stream_id
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)
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if response["status"] == "ok":
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group_list = response.get("data", [])
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"""
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import asyncio
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import time
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import traceback
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from typing import Any
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from maim_message import Seg, UserInfo
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# 导入依赖
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from src.chat.message_receive.chat_stream import ChatStream, get_chat_manager
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from src.chat.message_receive.message import MessageRecv, MessageSending
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from src.chat.message_receive.uni_message_sender import HeartFCSender
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from src.common.logger import get_logger
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from src.config.config import global_config
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# 日志记录器
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logger = get_logger("send_api")
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# 适配器命令响应等待池
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_adapter_response_pool: dict[str, asyncio.Future] = {}
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def message_dict_to_message_recv(message_dict: dict[str, Any]) -> MessageRecv | None:
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"""查找要回复的消息
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Args:
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message_dict: 消息字典
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Returns:
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Optional[MessageRecv]: 找到的消息，如果没找到则返回None
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"""
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# 构建MessageRecv对象
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user_info = {
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"platform": message_dict.get("user_platform", ""),
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"user_id": message_dict.get("user_id", ""),
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"user_nickname": message_dict.get("user_nickname", ""),
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"user_cardname": message_dict.get("user_cardname", ""),
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}
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group_info = {}
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if message_dict.get("chat_info_group_id"):
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group_info = {
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"platform": message_dict.get("chat_info_group_platform", ""),
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"group_id": message_dict.get("chat_info_group_id", ""),
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"group_name": message_dict.get("chat_info_group_name", ""),
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}
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format_info = {"content_format": "", "accept_format": ""}
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template_info = {"template_items": {}}
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message_info = {
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"platform": message_dict.get("chat_info_platform", ""),
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"message_id": message_dict.get("message_id")
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or message_dict.get("chat_info_message_id")
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or message_dict.get("id"),
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"time": message_dict.get("time"),
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"group_info": group_info,
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"user_info": user_info,
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"additional_config": message_dict.get("additional_config"),
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"format_info": format_info,
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"template_info": template_info,
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}
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new_message_dict = {
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"message_info": message_info,
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"raw_message": message_dict.get("processed_plain_text"),
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"processed_plain_text": message_dict.get("processed_plain_text"),
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}
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message_recv = MessageRecv(new_message_dict)
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logger.info(f"[SendAPI] 找到匹配的回复消息，发送者: {message_dict.get('user_nickname', '')}")
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return message_recv
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def put_adapter_response(request_id: str, response_data: dict) -> None:
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"""将适配器响应放入响应池"""
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if request_id in _adapter_response_pool:
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future = _adapter_response_pool.pop(request_id)
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if not future.done():
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future.set_result(response_data)
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async def wait_adapter_response(request_id: str, timeout: float = 30.0) -> dict:
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"""等待适配器响应"""
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future = asyncio.Future()
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_adapter_response_pool[request_id] = future
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try:
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response = await asyncio.wait_for(future, timeout=timeout)
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return response
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except asyncio.TimeoutError:
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await _adapter_response_pool.pop(request_id, None)
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return {"status": "error", "message": "timeout"}
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except Exception as e:
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await _adapter_response_pool.pop(request_id, None)
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return {"status": "error", "message": str(e)}
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# =============================================================================
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# 内部实现函数（不暴露给外部）
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# =============================================================================
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async def _send_to_target(
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message_type: str,
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content: str | dict,
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stream_id: str,
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display_message: str = "",
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typing: bool = False,
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reply_to: str = "",
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set_reply: bool = False,
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reply_to_message: dict[str, Any] | None = None,
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storage_message: bool = True,
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show_log: bool = True,
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selected_expressions:List[int] = None,
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) -> bool:
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"""向指定目标发送消息的内部实现
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Args:
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message_type: 消息类型，如"text"、"image"、"emoji"等
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content: 消息内容
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stream_id: 目标流ID
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display_message: 显示消息
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typing: 是否模拟打字等待。
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reply_to: 回复消息，格式为"发送者:消息内容"
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storage_message: 是否存储消息到数据库
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show_log: 发送是否显示日志
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Returns:
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bool: 是否发送成功
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"""
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try:
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if reply_to:
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logger.warning("[SendAPI] 在0.10.0, reply_to 参数已弃用，请使用 reply_to_message 参数")
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if show_log:
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logger.debug(f"[SendAPI] 发送{message_type}消息到 {stream_id}")
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# 查找目标聊天流
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target_stream = await get_chat_manager().get_stream(stream_id)
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if not target_stream:
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logger.error(f"[SendAPI] 未找到聊天流: {stream_id}")
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return False
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# 创建发送器
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heart_fc_sender = HeartFCSender()
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# 生成消息ID
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current_time = time.time()
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message_id = f"send_api_{int(current_time * 1000)}"
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# 构建机器人用户信息
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bot_user_info = UserInfo(
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user_id=global_config.bot.qq_account,
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user_nickname=global_config.bot.nickname,
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platform=target_stream.platform,
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)
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# 创建消息段
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message_segment = Seg(type=message_type, data=content) # type: ignore
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# 处理回复消息
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if reply_to_message:
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anchor_message = message_dict_to_message_recv(message_dict=reply_to_message)
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anchor_message.update_chat_stream(target_stream)
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reply_to_platform_id = (
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f"{anchor_message.message_info.platform}:{anchor_message.message_info.user_info.user_id}"
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)
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else:
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anchor_message = None
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reply_to_platform_id = None
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# 构建发送消息对象
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bot_message = MessageSending(
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message_id=message_id,
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chat_stream=target_stream,
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bot_user_info=bot_user_info,
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sender_info=target_stream.user_info,
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message_segment=message_segment,
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display_message=display_message,
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reply=anchor_message,
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is_head=True,
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is_emoji=(message_type == "emoji"),
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thinking_start_time=current_time,
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reply_to=reply_to_platform_id,
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selected_expressions=selected_expressions,
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)
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# 发送消息
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sent_msg = await heart_fc_sender.send_message(
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bot_message,
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typing=typing,
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set_reply=set_reply,
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storage_message=storage_message,
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show_log=show_log,
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)
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if sent_msg:
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logger.debug(f"[SendAPI] 成功发送消息到 {stream_id}")
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return True
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else:
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logger.error("[SendAPI] 发送消息失败")
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return False
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except Exception as e:
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logger.error(f"[SendAPI] 发送消息时出错: {e}")
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traceback.print_exc()
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return False
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# =============================================================================
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# 公共API函数 - 预定义类型的发送函数
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# =============================================================================
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async def text_to_stream(
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text: str,
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stream_id: str,
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typing: bool = False,
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reply_to: str = "",
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reply_to_message: dict[str, Any] | None = None,
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set_reply: bool = True,
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storage_message: bool = True,
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selected_expressions:List[int] = None,
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) -> bool:
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"""向指定流发送文本消息
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Args:
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text: 要发送的文本内容
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stream_id: 聊天流ID
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typing: 是否显示正在输入
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reply_to: 回复消息，格式为"发送者:消息内容"
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storage_message: 是否存储消息到数据库
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Returns:
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bool: 是否发送成功
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"""
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return await _send_to_target(
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"text",
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text,
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stream_id,
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"",
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typing,
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reply_to,
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set_reply=set_reply,
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reply_to_message=reply_to_message,
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storage_message=storage_message,
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selected_expressions=selected_expressions,
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)
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async def emoji_to_stream(
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emoji_base64: str, stream_id: str, storage_message: bool = True, set_reply: bool = True
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) -> bool:
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"""向指定流发送表情包
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Args:
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emoji_base64: 表情包的base64编码
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stream_id: 聊天流ID
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storage_message: 是否存储消息到数据库
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Returns:
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bool: 是否发送成功
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"""
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return await _send_to_target(
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"emoji", emoji_base64, stream_id, "", typing=False, storage_message=storage_message, set_reply=set_reply
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)
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async def image_to_stream(
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image_base64: str, stream_id: str, storage_message: bool = True, set_reply: bool = True
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) -> bool:
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"""向指定流发送图片
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Args:
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image_base64: 图片的base64编码
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stream_id: 聊天流ID
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storage_message: 是否存储消息到数据库
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Returns:
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bool: 是否发送成功
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"""
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return await _send_to_target(
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"image", image_base64, stream_id, "", typing=False, storage_message=storage_message, set_reply=set_reply
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)
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async def command_to_stream(
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command: str | dict,
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stream_id: str,
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storage_message: bool = True,
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display_message: str = "",
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set_reply: bool = True,
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) -> bool:
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"""向指定流发送命令
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Args:
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command: 命令
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stream_id: 聊天流ID
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storage_message: 是否存储消息到数据库
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Returns:
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bool: 是否发送成功
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"""
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return await _send_to_target(
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"command", command, stream_id, display_message, typing=False, storage_message=storage_message, set_reply=set_reply,reply_message=reply_message
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)
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async def custom_to_stream(
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message_type: str,
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content: str | dict,
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stream_id: str,
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display_message: str = "",
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typing: bool = False,
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reply_to: str = "",
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reply_to_message: dict[str, Any] | None = None,
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set_reply: bool = True,
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storage_message: bool = True,
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show_log: bool = True,
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) -> bool:
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"""向指定流发送自定义类型消息
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Args:
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message_type: 消息类型，如"text"、"image"、"emoji"、"video"、"file"等
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content: 消息内容（通常是base64编码或文本）
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stream_id: 聊天流ID
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display_message: 显示消息
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typing: 是否显示正在输入
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reply_to: 回复消息，格式为"发送者:消息内容"
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storage_message: 是否存储消息到数据库
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show_log: 是否显示日志
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Returns:
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bool: 是否发送成功
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"""
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return await _send_to_target(
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message_type=message_type,
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content=content,
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stream_id=stream_id,
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display_message=display_message,
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typing=typing,
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reply_to=reply_to,
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reply_to_message=reply_to_message,
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set_reply=set_reply,
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storage_message=storage_message,
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show_log=show_log,
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)
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async def adapter_command_to_stream(
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action: str,
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params: dict,
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platform: str | None = "qq",
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stream_id: str | None = None,
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timeout: float = 30.0,
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storage_message: bool = False,
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) -> dict:
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"""向适配器发送命令并获取返回值
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雅诺狐的耳朵特别软
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Args:
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action (str): 适配器命令动作，如"get_group_list"、"get_friend_list"等
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params (dict): 命令参数字典，包含命令所需的参数
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platform (Optional[str]): 目标平台标识，可选，用于多平台支持
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stream_id (Optional[str]): 聊天流ID，可选，如果不提供则自动生成临时ID
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timeout (float): 超时时间（秒），默认30.0秒
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storage_message (bool): 是否存储消息到数据库，默认False
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Returns:
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dict: 适配器返回的响应，包含以下可能的状态：
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- 成功: {"status": "ok", "data": {...}, "message": "..."}
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- 失败: {"status": "failed", "message": "错误信息"}
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- 错误: {"status": "error", "message": "错误信息"}
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Raises:
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ValueError: 当stream_id和platform都未提供时抛出
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"""
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if not stream_id and not platform:
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raise ValueError("必须提供stream_id或platform参数")
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try:
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logger.debug(f"[SendAPI] 向适配器发送命令: {action}")
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# 如果没有提供stream_id，则生成一个临时的
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if stream_id is None:
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import uuid
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stream_id = f"adapter_temp_{uuid.uuid4().hex[:8]}"
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logger.debug(f"[SendAPI] 自动生成临时stream_id: {stream_id}")
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# 查找目标聊天流
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target_stream = await get_chat_manager().get_stream(stream_id)
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if not target_stream:
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# 如果是自动生成的stream_id且找不到聊天流，创建一个临时的虚拟流
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if stream_id.startswith("adapter_temp_"):
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logger.debug(f"[SendAPI] 创建临时虚拟聊天流: {stream_id}")
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# 创建临时的用户信息和聊天流
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temp_user_info = UserInfo(user_id="system", user_nickname="System", platform=platform)
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temp_chat_stream = ChatStream(
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stream_id=stream_id, platform=platform, user_info=temp_user_info, group_info=None
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)
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target_stream = temp_chat_stream
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else:
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logger.error(f"[SendAPI] 未找到聊天流: {stream_id}")
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return {"status": "error", "message": f"未找到聊天流: {stream_id}"}
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# 创建发送器
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heart_fc_sender = HeartFCSender()
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# 生成消息ID
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current_time = time.time()
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message_id = f"adapter_cmd_{int(current_time * 1000)}"
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# 构建机器人用户信息
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bot_user_info = UserInfo(
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user_id=global_config.bot.qq_account,
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user_nickname=global_config.bot.nickname,
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platform=target_stream.platform,
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)
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# 构建适配器命令数据
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adapter_command_data = {
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"action": action,
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"params": params,
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"timeout": timeout,
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"request_id": message_id,
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}
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# 创建消息段
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message_segment = Seg(type="adapter_command", data=adapter_command_data) # type: ignore
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|
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# 构建发送消息对象
|
||
bot_message = MessageSending(
|
||
message_id=message_id,
|
||
chat_stream=target_stream,
|
||
bot_user_info=bot_user_info,
|
||
sender_info=target_stream.user_info,
|
||
message_segment=message_segment,
|
||
display_message=f"适配器命令: {action}",
|
||
reply=None,
|
||
is_head=True,
|
||
is_emoji=False,
|
||
thinking_start_time=current_time,
|
||
reply_to=None,
|
||
)
|
||
|
||
# 发送消息
|
||
sent_msg = await heart_fc_sender.send_message(
|
||
bot_message, typing=False, set_reply=False, storage_message=storage_message
|
||
)
|
||
|
||
if not sent_msg:
|
||
logger.error("[SendAPI] 发送适配器命令失败")
|
||
return {"status": "error", "message": "发送适配器命令失败"}
|
||
|
||
logger.debug("[SendAPI] 已发送适配器命令，等待响应...")
|
||
|
||
# 等待适配器响应
|
||
response = await wait_adapter_response(message_id, timeout)
|
||
|
||
logger.debug(f"[SendAPI] 收到适配器响应: {response}")
|
||
|
||
return response
|
||
|
||
except Exception as e:
|
||
logger.error(f"[SendAPI] 发送适配器命令时出错: {e}")
|
||
traceback.print_exc()
|
||
return {"status": "error", "message": f"发送适配器命令时出错: {e!s}"}
|