添加新的插件。

plugins/ai_auto_response/main.py

@@ -0,0 +1,219 @@
+from loguru import logger
+import os
+import json
+import requests
+from typing import Dict, Any, List, Optional, Tuple
+
+from plugin_common.message_plugin_interface import MessagePluginInterface
+from plugin_common.plugin_interface import PluginStatus
+from utils.decorator.plugin_decorators import plugin_stats_decorator
+from utils.robot_cmd.robot_command import Feature, PermissionStatus, GroupBotManager
+from utils.decorator.points_decorator import plugin_points_cost
+from wechat_ipad import WechatAPIClient
+
+from .bot_ai import InterventionBot
+
+
+class AIAutoResponsePlugin(MessagePluginInterface):
+    """AI自动对话插件"""
+
+    @property
+    def name(self) -> str:
+        return "AI自动对话"
+
+    @property
+    def version(self) -> str:
+        return "1.0.0"
+
+    @property
+    def description(self) -> str:
+        return "提供AI自动对话功能，可以在群聊中自动介入对话"
+
+    @property
+    def author(self) -> str:
+        return "Trae AI"
+
+    @property
+    def command_prefix(self) -> Optional[str]:
+        return ""  # 不需要前缀，直接匹配命令
+
+    @property
+    def commands(self) -> List[str]:
+        return self._commands
+
+    def __init__(self):
+        super().__init__()
+        self.intervention_bot = None
+        self.group_messages = {}  # 存储每个群的最近消息
+        self.max_messages = 20  # 每个群最多存储的消息数量
+        self.auto_response_enabled = {}  # 存储每个群是否启用自动回复
+
+        # DIFY API配置
+        self.dify_api_url = "http://192.168.2.240/v1/chat-messages"
+        self.dify_api_key = ""  # 需要在配置文件中设置
+
+    def initialize(self, context: Dict[str, Any]) -> bool:
+        """初始化插件"""
+        self.LOG = logger
+        self.LOG.info(f"正在初始化 {self.name} 插件...")
+
+        # 保存上下文对象
+        self.event_system = context.get("event_system")
+
+        # 加载配置
+        config_path = os.path.join(os.path.dirname(__file__), "config.toml")
+        self._commands = self._config.get("AIAutoResponse", {}).get("command", ["ai介入", "ai对话", "ai自动回复"])
+        self.command_format = self._config.get("AIAutoResponse", {}).get("command-format", "ai介入 开启/关闭")
+        self.enable = self._config.get("AIAutoResponse", {}).get("enable", True)
+
+        # 从配置中获取DIFY API密钥
+        self.dify_api_key = self._config.get("AIAutoResponse", {}).get("dify_api_key", "")
+        self.dify_api_url = self._config.get("AIAutoResponse", {}).get("dify_api_url",
+                                                                       "http://192.168.2.240/v1/chat-messages")
+
+        # 初始化介入机器人
+        self.intervention_bot = InterventionBot(config_path)
+
+        self.LOG.info(f"[{self.name}] 插件初始化完成，指令：{self._commands}")
+        return True
+
+    def start(self) -> bool:
+        """启动插件"""
+        self.LOG.info(f"[{self.name}] 插件已启动")
+        self.status = PluginStatus.RUNNING
+        return True
+
+    def stop(self) -> bool:
+        """停止插件"""
+        self.LOG.info(f"[{self.name}] 插件已停止")
+        self.status = PluginStatus.STOPPED
+        return True
+
+    def can_process(self, message: Dict[str, Any]) -> bool:
+        """检查是否可以处理该消息"""
+        if not self.enable:
+            return False
+
+        content = str(message.get("content", "")).strip()
+        command = content.split(" ")[0]
+        roomid = message.get("roomid", "")
+
+        # 如果是命令，直接处理
+        if command in self._commands:
+            return True
+
+        # 如果是群消息，且该群启用了自动回复，则处理
+        if roomid and self.auto_response_enabled.get(roomid, False):
+            # 存储消息
+            if roomid not in self.group_messages:
+                self.group_messages[roomid] = []
+
+            # 添加新消息
+            self.group_messages[roomid].append({
+                "timestamp": message.get("timestamp", ""),
+                "message": content,
+                "sender": message.get("sender", "")
+            })
+
+            # 限制消息数量
+            if len(self.group_messages[roomid]) > self.max_messages:
+                self.group_messages[roomid] = self.group_messages[roomid][-self.max_messages:]
+
+            # 判断是否需要介入
+            messages = [msg["message"] for msg in self.group_messages[roomid]]
+            timestamp = message.get("timestamp", "")
+
+            return self.intervention_bot.should_intervene(timestamp, content, messages)
+
+        return False
+
+    async def process_message(self, message: Dict[str, Any]) -> Tuple[bool, Optional[str]]:
+        """处理消息"""
+        content = str(message.get("content", "")).strip()
+        self.LOG.debug(f"插件执行： {self.name}：{content}")
+        command = content.split(" ")[0]
+        sender = message.get("sender")
+        roomid = message.get("roomid", "")
+        gbm: GroupBotManager = message.get("gbm")
+        bot: WechatAPIClient = message.get("bot")
+        # 检查权限
+        if roomid and gbm.get_group_permission(roomid, Feature.AI_AUTO) == PermissionStatus.DISABLED:
+            return False, "没有权限"
+        # 处理命令
+        if command in self._commands:
+            # 检查命令格式
+            if len(content.split(" ")) == 1:
+                await bot.send_text_message((roomid if roomid else sender), f"❌命令格式错误！\n{self.command_format}",
+                                            sender)
+                return False, "命令格式错误"
+
+            # 提取参数
+            param = content[len(command):].strip()
+
+            if param == "开启":
+                self.auto_response_enabled[roomid] = True
+                await bot.send_text_message(roomid, "✅AI自动对话已开启", sender)
+                return True, "开启成功"
+            elif param == "关闭":
+                self.auto_response_enabled[roomid] = False
+                await bot.send_text_message(roomid, "❌AI自动对话已关闭", sender)
+                return True, "关闭成功"
+            else:
+                await bot.send_text_message(roomid, f"❌参数错误！\n{self.command_format}", sender)
+                return False, "参数错误"
+
+        # 处理自动回复
+        try:
+            # 获取最近的消息
+            messages = [msg["message"] for msg in self.group_messages[roomid]]
+            timestamp = message.get("timestamp", "")
+
+            # 生成回复
+            response = self._generate_response_with_dify(content, messages)
+            if response:
+                # 发送回复
+                await bot.send_text_message(roomid, response, sender)
+                return True, "自动回复成功"
+
+        except Exception as e:
+            self.LOG.error(f"处理AI自动对话出错: {e}")
+            return False, f"处理出错: {e}"
+
+    def _generate_response_with_dify(self, message: str, messages: List[str]) -> str:
+        """使用DIFY API生成自动回复内容"""
+        try:
+            # 检测话题类型
+            topic_type = self.intervention_bot.detect_topic(message)
+
+            # 构建上下文消息
+            context_messages = messages[-5:] if len(messages) > 5 else messages
+            context = "\n".join(context_messages)
+
+            # 构建提示词
+            prompt = f"请根据以下群聊上下文，生成一个自然、友好的回复。\n\n上下文：\n{context}\n\n当前话题类型：{topic_type or '一般聊天'}\n\n请生成回复："
+
+            # 调用DIFY API
+            headers = {
+                "Content-Type": "application/json",
+                "Authorization": f"Bearer {self.dify_api_key}"
+            }
+
+            payload = {
+                "inputs": {},
+                "query": prompt,
+                "response_mode": "blocking",
+                "user": "ai_auto_response"
+            }
+
+            response = requests.post(self.dify_api_url, headers=headers, json=payload)
+
+            if response.status_code == 200:
+                result = response.json()
+                return result.get("answer", "")
+            else:
+                self.LOG.error(f"DIFY API调用失败: {response.status_code} - {response.text}")
+                return ""
+
+        except Exception as e:
+            self.LOG.error(f"生成回复出错: {e}")
+            return ""