fdc098d0db
- 修复异常处理链，使用from语法保留原始异常 - 格式化代码以符合项目规范 - 优化导入模块的顺序 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
386 lines
15 KiB
Python
386 lines
15 KiB
Python
import base64
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import html
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import asyncio
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from dataclasses import dataclass
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from typing import Dict, List, Optional, Union
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import ssl
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import os
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import aiohttp
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from src.common.logger import get_module_logger
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from nonebot import get_driver
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from ..models.utils_model import LLM_request
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from .config import global_config
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from .mapper import emojimapper
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from .message_base import Seg
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from .utils_user import get_user_nickname, get_groupname
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from .message_base import GroupInfo, UserInfo
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driver = get_driver()
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config = driver.config
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# 创建SSL上下文
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ssl_context = ssl.create_default_context()
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ssl_context.set_ciphers("AES128-GCM-SHA256")
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logger = get_module_logger("cq_code")
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@dataclass
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class CQCode:
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"""
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CQ码数据类，用于存储和处理CQ码
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属性:
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type: CQ码类型（如'image', 'at', 'face'等）
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params: CQ码的参数字典
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raw_code: 原始CQ码字符串
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translated_segments: 经过处理后的Seg对象列表
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"""
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type: str
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params: Dict[str, str]
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group_info: Optional[GroupInfo] = None
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user_info: Optional[UserInfo] = None
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translated_segments: Optional[Union[Seg, List[Seg]]] = None
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reply_message: Dict = None # 存储回复消息
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image_base64: Optional[str] = None
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_llm: Optional[LLM_request] = None
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def __post_init__(self):
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"""初始化LLM实例"""
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pass
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async def translate(self):
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"""根据CQ码类型进行相应的翻译处理，转换为Seg对象"""
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if self.type == "text":
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self.translated_segments = Seg(type="text", data=self.params.get("text", ""))
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elif self.type == "image":
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base64_data = await self.translate_image()
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if base64_data:
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if self.params.get("sub_type") == "0":
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self.translated_segments = Seg(type="image", data=base64_data)
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else:
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self.translated_segments = Seg(type="emoji", data=base64_data)
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else:
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self.translated_segments = Seg(type="text", data="[图片]")
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elif self.type == "at":
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if self.params.get("qq") == "all":
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self.translated_segments = Seg(type="text", data="@[全体成员]")
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else:
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user_nickname = get_user_nickname(self.params.get("qq", ""))
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self.translated_segments = Seg(type="text", data=f"[@{user_nickname or '某人'}]")
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elif self.type == "reply":
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reply_segments = await self.translate_reply()
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if reply_segments:
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self.translated_segments = Seg(type="seglist", data=reply_segments)
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else:
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self.translated_segments = Seg(type="text", data="[回复某人消息]")
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elif self.type == "face":
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face_id = self.params.get("id", "")
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self.translated_segments = Seg(type="text", data=f"[{emojimapper.get(int(face_id), '表情')}]")
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elif self.type == "forward":
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forward_segments = await self.translate_forward()
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if forward_segments:
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self.translated_segments = Seg(type="seglist", data=forward_segments)
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else:
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self.translated_segments = Seg(type="text", data="[转发消息]")
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else:
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self.translated_segments = Seg(type="text", data=f"[{self.type}]")
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async def get_img(self) -> Optional[str]:
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"""异步获取图片并转换为base64"""
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/50.0.2661.87 Safari/537.36",
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"Accept": "text/html, application/xhtml xml, */*",
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"Accept-Encoding": "gbk, GB2312",
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"Accept-Language": "zh-cn",
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"Content-Type": "application/x-www-form-urlencoded",
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"Cache-Control": "no-cache",
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}
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url = html.unescape(self.params["url"])
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if not url.startswith(("http://", "https://")):
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return None
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max_retries = 3
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for retry in range(max_retries):
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try:
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logger.debug(f"获取图片中: {url}")
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# 设置SSL上下文和创建连接器
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conn = aiohttp.TCPConnector(ssl=ssl_context)
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async with aiohttp.ClientSession(connector=conn) as session:
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async with session.get(
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url,
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headers=headers,
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timeout=aiohttp.ClientTimeout(total=15),
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allow_redirects=True,
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) as response:
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# 腾讯服务器特殊状态码处理
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if response.status == 400 and "multimedia.nt.qq.com.cn" in url:
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return None
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if response.status != 200:
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raise aiohttp.ClientError(f"HTTP {response.status}")
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# 验证内容类型
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content_type = response.headers.get("Content-Type", "")
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if not content_type.startswith("image/"):
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raise ValueError(f"非图片内容类型: {content_type}")
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# 读取响应内容
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content = await response.read()
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logger.debug(f"获取图片成功: {url}")
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# 转换为Base64
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image_base64 = base64.b64encode(content).decode("utf-8")
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self.image_base64 = image_base64
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return image_base64
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except (aiohttp.ClientError, ValueError) as e:
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if retry == max_retries - 1:
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logger.error(f"最终请求失败: {str(e)}")
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await asyncio.sleep(1.5**retry) # 指数退避
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except Exception as e:
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logger.exception(f"获取图片时发生未知错误: {str(e)}")
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return None
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return None
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async def translate_image(self) -> Optional[str]:
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"""处理图片类型的CQ码，返回base64字符串"""
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if "url" not in self.params:
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return None
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return await self.get_img()
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async def translate_forward(self) -> Optional[List[Seg]]:
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"""处理转发消息，返回Seg列表"""
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try:
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if "content" not in self.params:
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return None
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content = self.unescape(self.params["content"])
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import ast
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try:
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messages = ast.literal_eval(content)
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except ValueError as e:
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logger.error(f"解析转发消息内容失败: {str(e)}")
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return None
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formatted_segments = []
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for msg in messages:
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sender = msg.get("sender", {})
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nickname = sender.get("card") or sender.get("nickname", "未知用户")
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raw_message = msg.get("raw_message", "")
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message_array = msg.get("message", [])
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if message_array and isinstance(message_array, list):
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for message_part in message_array:
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if message_part.get("type") == "forward":
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content_seg = Seg(type="text", data="[转发消息]")
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break
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else:
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if raw_message:
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from .message_cq import MessageRecvCQ
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user_info = UserInfo(
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platform="qq",
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user_id=msg.get("user_id", 0),
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user_nickname=nickname,
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)
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group_info = GroupInfo(
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platform="qq",
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group_id=msg.get("group_id", 0),
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group_name=get_groupname(msg.get("group_id", 0)),
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)
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message_obj = MessageRecvCQ(
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message_id=msg.get("message_id", 0),
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user_info=user_info,
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raw_message=raw_message,
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plain_text=raw_message,
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group_info=group_info,
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)
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await message_obj.initialize()
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content_seg = Seg(type="seglist", data=[message_obj.message_segment])
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else:
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content_seg = Seg(type="text", data="[空消息]")
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else:
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if raw_message:
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from .message_cq import MessageRecvCQ
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user_info = UserInfo(
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platform="qq",
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user_id=msg.get("user_id", 0),
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user_nickname=nickname,
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)
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group_info = GroupInfo(
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platform="qq",
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group_id=msg.get("group_id", 0),
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group_name=get_groupname(msg.get("group_id", 0)),
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)
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message_obj = MessageRecvCQ(
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message_id=msg.get("message_id", 0),
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user_info=user_info,
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raw_message=raw_message,
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plain_text=raw_message,
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group_info=group_info,
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)
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await message_obj.initialize()
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content_seg = Seg(type="seglist", data=[message_obj.message_segment])
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else:
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content_seg = Seg(type="text", data="[空消息]")
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formatted_segments.append(Seg(type="text", data=f"{nickname}: "))
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formatted_segments.append(content_seg)
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formatted_segments.append(Seg(type="text", data="\n"))
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return formatted_segments
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except Exception as e:
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logger.error(f"处理转发消息失败: {str(e)}")
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return None
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async def translate_reply(self) -> Optional[List[Seg]]:
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"""处理回复类型的CQ码，返回Seg列表"""
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from .message_cq import MessageRecvCQ
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if self.reply_message is None:
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return None
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if hasattr(self.reply_message, "group_id"):
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group_info = GroupInfo(platform="qq", group_id=self.reply_message.group_id, group_name="")
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else:
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group_info = None
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if self.reply_message.sender.user_id:
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message_obj = MessageRecvCQ(
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user_info=UserInfo(
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user_id=self.reply_message.sender.user_id, user_nickname=self.reply_message.sender.nickname
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),
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message_id=self.reply_message.message_id,
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raw_message=str(self.reply_message.message),
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group_info=group_info,
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)
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await message_obj.initialize()
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segments = []
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if message_obj.message_info.user_info.user_id == global_config.BOT_QQ:
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segments.append(Seg(type="text", data=f"[回复 {global_config.BOT_NICKNAME} 的消息: "))
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else:
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segments.append(
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Seg(
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type="text",
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data=f"[回复 {self.reply_message.sender.nickname} 的消息: ",
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)
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)
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segments.append(Seg(type="seglist", data=[message_obj.message_segment]))
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segments.append(Seg(type="text", data="]"))
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return segments
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else:
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return None
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@staticmethod
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def unescape(text: str) -> str:
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"""反转义CQ码中的特殊字符"""
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return text.replace(",", ",").replace("[", "[").replace("]", "]").replace("&", "&")
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class CQCode_tool:
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@staticmethod
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def cq_from_dict_to_class(cq_code: Dict, msg, reply: Optional[Dict] = None) -> CQCode:
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"""
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将CQ码字典转换为CQCode对象
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Args:
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cq_code: CQ码字典
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msg: MessageCQ对象
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reply: 回复消息的字典（可选）
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Returns:
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CQCode对象
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"""
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# 处理字典形式的CQ码
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# 从cq_code字典中获取type字段的值,如果不存在则默认为'text'
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cq_type = cq_code.get("type", "text")
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params = {}
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if cq_type == "text":
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params["text"] = cq_code.get("data", {}).get("text", "")
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else:
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params = cq_code.get("data", {})
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instance = CQCode(
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type=cq_type,
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params=params,
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group_info=msg.message_info.group_info,
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user_info=msg.message_info.user_info,
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reply_message=reply,
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)
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return instance
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@staticmethod
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def create_reply_cq(message_id: int) -> str:
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"""
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创建回复CQ码
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Args:
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message_id: 回复的消息ID
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Returns:
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回复CQ码字符串
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"""
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return f"[CQ:reply,id={message_id}]"
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@staticmethod
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def create_emoji_cq(file_path: str) -> str:
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"""
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创建表情包CQ码
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Args:
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file_path: 本地表情包文件路径
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Returns:
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表情包CQ码字符串
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"""
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# 确保使用绝对路径
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abs_path = os.path.abspath(file_path)
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# 转义特殊字符
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escaped_path = abs_path.replace("&", "&").replace("[", "[").replace("]", "]").replace(",", ",")
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# 生成CQ码，设置sub_type=1表示这是表情包
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return f"[CQ:image,file=file:///{escaped_path},sub_type=1]"
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@staticmethod
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def create_emoji_cq_base64(base64_data: str) -> str:
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"""
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创建表情包CQ码
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Args:
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base64_data: base64编码的表情包数据
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Returns:
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表情包CQ码字符串
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"""
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# 转义base64数据
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escaped_base64 = (
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base64_data.replace("&", "&").replace("[", "[").replace("]", "]").replace(",", ",")
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)
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# 生成CQ码，设置sub_type=1表示这是表情包
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return f"[CQ:image,file=base64://{escaped_base64},sub_type=1]"
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@staticmethod
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def create_image_cq_base64(base64_data: str) -> str:
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"""
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创建表情包CQ码
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Args:
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base64_data: base64编码的表情包数据
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Returns:
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表情包CQ码字符串
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"""
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# 转义base64数据
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escaped_base64 = (
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base64_data.replace("&", "&").replace("[", "[").replace("]", "]").replace(",", ",")
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)
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# 生成CQ码，设置sub_type=1表示这是表情包
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return f"[CQ:image,file=base64://{escaped_base64},sub_type=0]"
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cq_code_tool = CQCode_tool()
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