447 lines
18 KiB
Python
447 lines
18 KiB
Python
import os
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import requests
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import json
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import time
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import re # 添加re模块导入
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from typing import Dict, Any, List, Optional, Tuple
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from pathlib import Path
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from base.plugin_common.message_plugin_interface import MessagePluginInterface
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from base.plugin_common.plugin_interface import PluginStatus
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from utils.decorator.plugin_decorators import plugin_stats_decorator
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from utils.markdown_to_image import convert_md_str_to_image
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from utils.revoke.message_auto_revoke import MessageAutoRevoke
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from utils.robot_cmd.robot_command import Feature, PermissionStatus, GroupBotManager
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from utils.decorator.points_decorator import plugin_points_cost
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from utils.media_downloader import MediaDownloader
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from utils.string_utils import remove_trailing_content
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from wechat_ipad import WechatAPIClient
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class DifyPlugin(MessagePluginInterface):
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"""Dify AI聊天插件"""
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@property
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def name(self) -> str:
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return "Dify聊天"
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@property
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def version(self) -> str:
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return "1.0.0"
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@property
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def description(self) -> str:
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return "提供基于Dify的AI聊天功能"
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@property
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def author(self) -> str:
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return "Trae AI"
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@property
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def command_prefix(self) -> Optional[str]:
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return "" # 不需要前缀，直接匹配命令
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@property
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def commands(self) -> List[str]:
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return self._commands
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def __init__(self):
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super().__init__()
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# 会话上下文管理，格式: {group_id/wxid: [conversation_history]}
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self.conversations: Dict[str, List[Dict]] = {}
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# tokens 消耗统计，格式: {wxid: total_tokens}
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self.token_usage: Dict[str, int] = {}
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# 最大上下文长度
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self.max_history_length = 10
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# 会话过期时间（秒）
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self.conversation_timeout = 3600 # 1小时
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self.last_activity: Dict[str, float] = {}
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def initialize(self, context: Dict[str, Any]) -> bool:
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"""初始化插件"""
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self.LOG.info(f"正在初始化 {self.name} 插件...")
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# 保存上下文对象
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self.event_system = context.get("event_system")
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self.gbm = context.get("gbm")
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# 从配置中获取参数
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dify_config = self._config.get("Dify", {})
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self._commands = dify_config.get("commands", ["ai", "dify", "聊天", "AI"])
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self.command_format = dify_config.get("command-tip", "聊天 请求内容")
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self.enable = dify_config.get("enable", True)
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self.api_key = dify_config.get("api-key", "")
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self.base_url = dify_config.get("base-url", "")
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self.price = dify_config.get("price", 0)
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self.admin_ignore = dify_config.get("admin_ignore", False)
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self.whitelist_ignore = dify_config.get("whitelist_ignore", False)
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self.http_proxy = dify_config.get("http-proxy", "")
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self.LOG.info(f"[{self.name}] 插件初始化完成，指令：{self._commands}")
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return True
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def start(self) -> bool:
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"""启动插件"""
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self.LOG.info(f"[{self.name}] 插件已启动")
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self.status = PluginStatus.RUNNING
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return True
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def stop(self) -> bool:
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"""停止插件"""
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self.LOG.info(f"[{self.name}] 插件已停止")
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self.status = PluginStatus.STOPPED
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return True
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def can_process(self, message: Dict[str, Any]) -> bool:
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"""检查是否可以处理该消息"""
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if not self.enable:
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return False
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content = str(message.get("content", "")).strip()
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command = content.split(" ")[0]
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# 检查是否是命令触发
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if command in self._commands:
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return True
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# 检查是否是被@的消息
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if message.get("is_at", False) and message.get("roomid", ""):
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# 只处理群聊中被@的消息
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return True
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return False
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@plugin_stats_decorator(plugin_name="Dify聊天")
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@plugin_points_cost(2, "AI聊天消耗积分", Feature.AI_CAPABILITY)
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async def process_message(self, message: Dict[str, Any]) -> Tuple[bool, Optional[str]]:
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"""处理消息"""
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content = str(message.get("content", "")).strip()
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self.LOG.debug(f"插件执行： {self.name}：{content}")
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sender = message.get("sender")
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roomid = message.get("roomid", "")
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gbm: GroupBotManager = message.get("gbm")
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bot: WechatAPIClient = message.get("bot")
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revoke: MessageAutoRevoke = message.get("revoke")
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# 处理被@的消息
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if message.get("is_at", False) and roomid:
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# 检查权限
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if gbm.get_group_permission(roomid, Feature.AI_CAPABILITY) == PermissionStatus.DISABLED:
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return False, "没有权限"
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# 去除@的人和空格等字符
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query = re.sub(r"@.*?[\u2005|\s]", "", content).strip()
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if not query:
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await bot.send_at_message(roomid, "请在@我的同时提供问题内容", [sender])
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return False, "没有提供问题内容"
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try:
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# 调用Dify API获取回复
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response = self._chat_with_dify((roomid if roomid else sender), sender, query)
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# 去除广告内容
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response = remove_trailing_content(response)
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# 发送回复
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if response:
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# 判断是否为本地文件路径
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if os.path.isfile(response):
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# 如果是文件路径，使用发送文件方法
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await bot.send_image_message((roomid if roomid else sender), Path(response))
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else:
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# 如果是普通文本，则在长度大于100字时，转为图片发送
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if len(response) > 200:
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# 转图片
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respath = await convert_md_str_to_image(response, "dify_output.jpg")
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await bot.send_image_message((roomid if roomid else sender), Path(respath))
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else:
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# 如果是普通文本，使用发送文本方法
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await bot.send_at_message((roomid if roomid else sender), response, [sender])
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return True, "发送成功"
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else:
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await bot.send_text_message((roomid if roomid else sender), "❌未能获取到回复，请稍后再试", sender)
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return False, "未获取到回复"
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except Exception as e:
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self.LOG.exception(f"处理Dify聊天请求出错: {e}")
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client_msg_id, create_time, new_msg_id = await bot.send_text_message((roomid if roomid else sender),
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"❌未能获取到回复，请稍后再试",
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sender)
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revoke.add_message_to_revoke((roomid if roomid else sender), client_msg_id, create_time, new_msg_id, 5)
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return False, f"处理出错: {e}"
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# 原有的命令处理逻辑
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parts = content.split(" ", 1)
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command = parts[0]
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# 检查命令格式
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if len(parts) < 2 or not parts[1].strip():
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await bot.send_text_message((roomid if roomid else sender), f"{self.command_format}", sender)
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return False, "命令格式错误"
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# 检查权限
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if roomid and gbm.get_group_permission((roomid if roomid else sender), Feature.AI_CAPABILITY) == PermissionStatus.DISABLED:
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return False, "没有权限"
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client_msg_id, create_time, new_msg_id = await bot.send_text_message((roomid if roomid else sender),
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"⏳AI 正在加油，请稍候… 😊",
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sender if roomid else "")
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revoke.add_message_to_revoke((roomid if roomid else sender), client_msg_id, create_time, new_msg_id, 3)
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# 获取查询内容
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query = parts[1].strip()
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# 获取会话ID（群聊使用群ID，私聊使用个人wxid）
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session_id = roomid if roomid else sender
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# 获取用户ID
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user_id = sender
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try:
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# 调用Dify API获取回复
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response = self._chat_with_dify(session_id, user_id, query)
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# 去除广告内容
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response = remove_trailing_content(response)
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# 发送回复
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if response:
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# 判断是否为本地文件路径
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if os.path.isfile(response):
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# 如果是文件路径，使用发送文件方法
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await bot.send_image_message((roomid if roomid else sender), Path(response))
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else:
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# 如果是普通文本，则在长度大于100字时，转为图片发送
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if len(response) > 200:
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# 转图片
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respath = await convert_md_str_to_image(response, "dify_output.jpg")
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await bot.send_image_message((roomid if roomid else sender), Path(respath))
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else:
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# 如果是普通文本，使用发送文本方法
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await bot.send_at_message((roomid if roomid else sender), response, [sender])
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return True, "发送成功"
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else:
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client_msg_id, create_time, new_msg_id = await bot.send_text_message((roomid if roomid else sender),
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"❌未能获取到回复，请稍后再试",
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sender if roomid else "")
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revoke.add_message_to_revoke((roomid if roomid else sender), client_msg_id, create_time, new_msg_id, 5)
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return False, "未获取到回复"
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except Exception as e:
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self.LOG.exception(f"处理Dify聊天请求出错: {e}")
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client_msg_id, create_time, new_msg_id = await bot.send_text_message((roomid if roomid else sender),
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f"❌请求出错：{str(e)}",
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sender if roomid else "")
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revoke.add_message_to_revoke((roomid if roomid else sender), client_msg_id, create_time, new_msg_id, 5)
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return False, f"处理出错: {e}"
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def _chat_with_dify(self, session_id: str, user_id: str, query: str) -> Optional[str]:
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"""
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与Dify API交互获取回复
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Args:
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session_id: 会话ID（群聊为群ID，私聊为个人wxid）
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user_id: 用户wxid
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query: 用户查询内容
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Returns:
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API返回的回复内容
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"""
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# 清理过期会话
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self._cleanup_expired_conversations()
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# 更新最后活动时间
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self.last_activity[session_id] = time.time()
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# 初始化会话历史
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if session_id not in self.conversations:
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self.conversations[session_id] = []
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# 准备请求头
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json",
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"Accept": "text/event-stream" # 指定接受事件流
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}
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# 准备历史记录
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history_text = ""
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if self.conversations[session_id]:
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# 将历史记录转换为字符串格式
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for msg in self.conversations[session_id]:
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role = "用户" if msg["role"] == "user" else "助手"
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history_text += f"{role}: {msg['content']}\n"
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history_text = history_text.strip()
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# 准备输入参数
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inputs_params = {
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"query": query,
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"conversation_id": session_id
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}
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# 如果有历史记录，添加到inputs_params中
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if history_text:
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inputs_params["history"] = history_text
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# 准备请求数据
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data = {
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"sys.files": [],
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"user": user_id,
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"inputs": inputs_params,
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"response_mode": "blocking" # 使用阻塞响应模式
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}
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# 如果有历史记录，同时添加到conversation_history中
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if self.conversations[session_id]:
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data["conversation_history"] = self.conversations[session_id]
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# 设置代理
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proxies = None
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if self.http_proxy:
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proxies = {
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"http": self.http_proxy,
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"https": self.http_proxy
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}
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# 发送请求
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url = f"{self.base_url}/workflows/run"
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self.LOG.info(f"发送请求到Dify API: {url}")
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self.LOG.info(f"请求数据: {json.dumps(data, ensure_ascii=False)}")
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try:
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# 使用普通请求（非流式）
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response = requests.post(url, headers=headers, json=data, proxies=proxies, timeout=40)
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if response.status_code != 200:
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self.LOG.error(f"Dify API请求失败: {response.status_code} {response.text}")
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return f"请求失败，状态码: {response.status_code}"
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# 解析响应
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response_data = response.json()
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self.LOG.info(f"收到Dify API响应: {json.dumps(response_data, ensure_ascii=False)}")
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# 提取回答内容
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answer = ""
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total_tokens = 0
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# 获取输出内容
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outputs = response_data.get("data", {}).get("outputs", {})
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if outputs:
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# 处理媒体类型返回
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if "result" in outputs and "type" in outputs:
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if outputs["type"] == "image":
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downloader = MediaDownloader()
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image_url = outputs["result"]
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image_path = downloader.download_media(image_url)
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answer = image_path
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if outputs["type"] == "video":
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downloader = MediaDownloader()
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image_url = outputs["result"]
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image_path = downloader.download_media(image_url)
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answer = image_path
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# 处理文本类型返回
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elif "text" in outputs and isinstance(outputs["text"], str):
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answer = outputs["text"]
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# 兼容旧版处理逻辑
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else:
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for key, value in outputs.items():
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if isinstance(value, str) and value.strip():
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answer += value
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elif isinstance(value, dict):
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# 处理嵌套字典的情况
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for sub_key, sub_value in value.items():
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if isinstance(sub_value, str) and sub_value.strip():
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answer += sub_value
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elif isinstance(value, list):
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# 处理列表的情况
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for item in value:
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if isinstance(item, str) and item.strip():
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answer += item
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elif isinstance(item, dict):
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# 处理列表中的字典
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for item_key, item_value in item.items():
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if isinstance(item_value, str) and item_value.strip():
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answer += item_value
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# 获取token使用情况
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total_tokens = response_data.get("data", {}).get("total_tokens", 0)
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# 更新会话历史
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self.conversations[session_id].append({
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"role": "user",
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"content": query
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})
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self.conversations[session_id].append({
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"role": "assistant",
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"content": answer
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})
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# 限制会话历史长度
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if len(self.conversations[session_id]) > self.max_history_length * 2:
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self.conversations[session_id] = self.conversations[session_id][-self.max_history_length * 2:]
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# 统计token使用情况
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if total_tokens > 0:
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if user_id in self.token_usage:
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self.token_usage[user_id] += total_tokens
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else:
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self.token_usage[user_id] = total_tokens
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self.LOG.info(
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f"用户 {user_id} 本次消耗 {total_tokens} tokens，累计 {self.token_usage[user_id]} tokens")
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return answer
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except Exception as e:
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self.LOG.error(f"处理Dify响应时出错: {str(e)}")
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return f"处理响应时出错: {str(e)}"
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def _cleanup_expired_conversations(self) -> None:
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"""清理过期的会话"""
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current_time = time.time()
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expired_sessions = []
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for session_id, last_time in self.last_activity.items():
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if current_time - last_time > self.conversation_timeout:
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expired_sessions.append(session_id)
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for session_id in expired_sessions:
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if session_id in self.conversations:
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del self.conversations[session_id]
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del self.last_activity[session_id]
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if expired_sessions:
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self.LOG.info(f"已清理 {len(expired_sessions)} 个过期会话")
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def get_token_usage_report(self) -> str:
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"""获取token使用情况报告"""
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if not self.token_usage:
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return "暂无token使用记录"
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report = "Token使用情况统计：\n"
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for user_id, tokens in sorted(self.token_usage.items(), key=lambda x: x[1], reverse=True):
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report += f"用户 {user_id}: {tokens} tokens\n"
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total = sum(self.token_usage.values())
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report += f"\n总计: {total} tokens"
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return report
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def reset_conversation(self, session_id: str) -> bool:
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"""重置指定会话的上下文"""
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if session_id in self.conversations:
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del self.conversations[session_id]
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if session_id in self.last_activity:
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del self.last_activity[session_id]
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return True
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return False
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def reset_all_conversations(self) -> None:
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"""重置所有会话上下文"""
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self.conversations.clear()
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self.last_activity.clear()
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