添加新的插件。

plugins/ai_auto_response/__init__.py

@@ -0,0 +1,7 @@
+# 从当前包的main模块导入AIAutoResponsePlugin类
+from .main import AIAutoResponsePlugin
+
+# 提供get_plugin函数，返回插件实例
+def get_plugin():
+    """获取插件实例"""
+    return AIAutoResponsePlugin()

plugins/ai_auto_response/bot_ai.py

@@ -0,0 +1,158 @@
+import re
+from datetime import datetime, time
+import toml
+import os
+
+
+class InterventionBot:
+    def __init__(self, config_path=None):
+        # 加载配置
+        self.config = {}
+        if config_path and os.path.exists(config_path):
+            self.config = toml.load(config_path)
+        
+        # 从配置中获取关键词
+        keywords = self.config.get("Keywords", {})
+        time_window = self.config.get("TimeWindow", {})
+        
+        # 表情符号库
+        self.emojis = keywords.get("emojis", ["[捂脸]", "[奸笑]", "[可怜]", "[擦汗]", "[发呆]", "[抠鼻]", "[破涕为笑]", "[旺柴]"])
+        # 话题关键词
+        self.hot_topics = keywords.get("hot_topics", ["咖啡", "手机", "小米", "华为", "苹果", "价格", "流畅", "螺蛳粉", "外卖"])
+        self.fish_keywords = keywords.get("fish_keywords", ["鱼缸", "鱼便", "红边", "造浪", "养鱼", "进货", "鳑鲏", "吸鳅"])
+        self.tech_keywords = keywords.get("tech_keywords", ["MIUI", "鸿蒙", "iPhone", "安卓", "推送", "充电", "屏幕", "电池"])
+        self.mechanism_keywords = keywords.get("mechanism_keywords", ["积分", "AI ", "功能列表", "黑丝", "打劫", "指令"])
+        self.news_keywords = keywords.get("news_keywords", ["新闻", "骨灰房", "法院", "判决", "住建局"])
+        
+        # 早晨签到时间窗口
+        morning_start_hour = time_window.get("morning_start_hour", 8)
+        morning_start_minute = time_window.get("morning_start_minute", 0)
+        morning_end_hour = time_window.get("morning_end_hour", 8)
+        morning_end_minute = time_window.get("morning_end_minute", 30)
+        
+        self.morning_window = (
+            time(morning_start_hour, morning_start_minute), 
+            time(morning_end_hour, morning_end_minute)
+        )
+
+    def is_morning_window(self, timestamp):
+        """检查是否在早晨签到时间窗口"""
+        try:
+            message_time = datetime.strptime(timestamp, "%Y-%m-%d %H:%M:%S").time()
+            return self.morning_window[0] <= message_time <= self.morning_window[1]
+        except ValueError:
+            return False
+
+    def detect_topic(self, message):
+        """检测消息所属话题类型"""
+        message_lower = message.lower()
+        if any(keyword in message_lower for keyword in self.fish_keywords):
+            return "fish"
+        if any(keyword in message_lower for keyword in self.tech_keywords):
+            return "tech"
+        if any(keyword in message_lower for keyword in self.mechanism_keywords):
+            return "mechanism"
+        if any(keyword in message_lower for keyword in self.news_keywords):
+            return "news"
+        if any(keyword in message_lower for keyword in self.hot_topics):
+            return "hot_topic"
+        return None
+
+    def rule_morning_signin(self, timestamp, messages):
+        """规则1：早晨签到"""
+        return self.is_morning_window(timestamp) and any("签到" in msg or "早" in msg for msg in messages[-5:])
+
+    def rule_hot_topic(self, message, messages):
+        """规则2：热点话题参与"""
+        return self.detect_topic(message) == "hot_topic" and len(
+            [m for m in messages[-5:] if self.detect_topic(m) == "hot_topic"]) >= 3
+
+    def rule_tech_discussion(self, message, messages):
+        """规则3：技术性讨论"""
+        return self.detect_topic(message) == "tech"
+
+    def rule_fish_discussion(self, message, messages):
+        """规则4：养鱼话题"""
+        return self.detect_topic(message) == "fish"
+
+    def rule_mechanism_interaction(self, message, messages):
+        """规则5：群内机制互动"""
+        return self.detect_topic(message) == "mechanism"
+
+    def rule_humor_tease(self, message, messages):
+        """规则6：幽默与调侃"""
+        return any(emoji in message for emoji in self.emojis) or "哈哈" in message or len(
+            [m for m in messages[-5:] if any(e in m for e in self.emojis)]) >= 2
+
+    def rule_news_reaction(self, message, messages):
+        """规则7：猎奇或社会新闻反应"""
+        return self.detect_topic(message) == "news"
+
+    def should_intervene(self, timestamp, message, messages):
+        """判断是否需要介入"""
+        rules = [
+            self.rule_morning_signin,
+            self.rule_hot_topic,
+            self.rule_tech_discussion,
+            self.rule_fish_discussion,
+            self.rule_mechanism_interaction,
+            self.rule_humor_tease,
+            self.rule_news_reaction
+        ]
+
+        for rule in rules:
+            if rule == self.rule_morning_signin:
+                if rule(timestamp, messages):
+                    return True
+            elif rule(message, messages):
+                return True
+        return False
+
+    def process_message(self, timestamp, message, messages):
+        """处理单条消息，返回介入状态"""
+        if self.should_intervene(timestamp, message, messages):
+            return True
+        return False
+
+    def process_chat_log(self, chat_log):
+        """处理聊天记录，返回每条消息的介入状态"""
+        messages = [line["message"] for line in chat_log]
+        results = []
+
+        for i, line in enumerate(chat_log):
+            timestamp = line["timestamp"]
+            message = line["message"]
+            intervention = self.process_message(timestamp, message, messages[:i + 1])
+            results.append({
+                "timestamp": timestamp,
+                "message": message,
+                "intervention": intervention
+            })
+
+        return results
+
+
+# 示例用法
+if __name__ == "__main__":
+    # 模拟聊天记录
+    sample_chat_log = [
+        {"timestamp": "2025-03-14 08:06:38", "user_id": "Jyunere", "message": "签到"},
+        {"timestamp": "2025-03-14 08:06:54", "user_id": "Jyunere", "message": "啥情况？卷了？"},
+        {"timestamp": "2025-03-14 08:07:20", "user_id": "wxid_qx4z0jq3rp3122", "message": "那你喝咖啡就好了"},
+        {"timestamp": "2025-03-14 09:12:28", "user_id": "Jyunere", "message": "我同事的鸿蒙确实流畅。"},
+        {"timestamp": "2025-03-14 09:35:21", "user_id": "Jyunere", "message": "垃圾MIUI"},
+        {"timestamp": "2025-05-21 14:31:57", "user_id": "wxid_4re8ddo26dxb52", "message": "年轻人随随便便就能深蹲200"},
+        {"timestamp": "2025-05-21 14:32:20", "user_id": "liu79830956",
+         "message": "@水牛 过分了啊，报错还扣积分 赔我200"},
+        {"timestamp": "2025-05-21 14:32:39", "user_id": "Jyunere", "message": "哈哈，识别到指令了。"},
+        {"timestamp": "2025-05-21 14:32:42", "user_id": "wxid_z8uo70zywfpn12", "message": "检测到天 气了"},
+        {"timestamp": "2025-05-21 14:35:08", "user_id": "liu79830956", "message": "这螺蛳粉估计要明天也吃不上了[旺柴]"}
+    ]
+
+    bot = InterventionBot()
+    results = bot.process_chat_log(sample_chat_log)
+
+    for result in results:
+        print(f"[{result['timestamp']}] Message: {result['message']}")
+        print(f"Intervention: {result['intervention']}")
+        print("-" * 50)

plugins/ai_auto_response/config.toml

@@ -0,0 +1,25 @@
+enable = true
+command = ["ai介入", "ai对话", "ai自动回复"]
+command-format = """
+🤖AI自动对话指令：
+ai介入 开启/关闭
+"""
+dify_api_url = "http://192.168.2.240/v1/chat-messages"
+dify_api_key = "app-oDHbln5CzBLt3uS9bIBlJjhZ"  # 请在此处填入您的DIFY API密钥
+
+[Keywords]
+# 表情符号库
+emojis = ["[捂脸]", "[奸笑]", "[可怜]", "[擦汗]", "[发呆]", "[抠鼻]", "[破涕为笑]", "[旺柴]"]
+# 话题关键词
+hot_topics = ["咖啡", "手机", "小米", "华为", "苹果", "价格", "流畅", "螺蛳粉", "外卖"]
+fish_keywords = ["鱼缸", "鱼便", "红边", "造浪", "养鱼", "进货", "鳑鲏", "吸鳅"]
+tech_keywords = ["MIUI", "鸿蒙", "iPhone", "安卓", "推送", "充电", "屏幕", "电池"]
+mechanism_keywords = ["积分", "AI ", "功能列表", "黑丝", "打劫", "指令"]
+news_keywords = ["新闻", "骨灰房", "法院", "判决", "住建局"]
+
+[TimeWindow]
+# 早晨签到时间窗口（8:00-8:30）
+morning_start_hour = 8
+morning_start_minute = 0
+morning_end_hour = 8
+morning_end_minute = 30

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 ""

utils/robot_cmd/robot_command.py

@@ -47,6 +47,7 @@ class Feature(Enum):
     NEWS = 20, "全球政治经济新闻"
     WEATHER = 21, "天气查询[上海天气 天气上海]"
     JD_TOKEN = 22, "JD_京豆token设置[设置京东 pt_key=xxx;pt_pin=xxx; 备注名称]"
+    AI_AUTO = 23, "仿真对话"
 
     def __new__(cls, value, description):
         obj = object.__new__(cls)