Merge branch 'MaiM-with-u:dev' into dev

scripts/070configexe.py

@@ -0,0 +1,660 @@
+import tkinter as tk
+from tkinter import ttk, messagebox
+import tomli
+import tomli_w
+import os
+from typing import Any, Dict, List
+import threading
+import time
+
+
+class ConfigEditor:
+    def __init__(self, root):
+        self.root = root
+        self.root.title("麦麦配置编辑器")
+
+        # 加载编辑器配置
+        self.load_editor_config()
+
+        # 设置窗口大小
+        self.root.geometry(f"{self.window_width}x{self.window_height}")
+
+        # 加载配置
+        self.load_config()
+
+        # 自动保存相关
+        self.last_save_time = time.time()
+        self.save_timer = None
+        self.save_lock = threading.Lock()
+        self.current_section = None  # 当前编辑的节
+        self.pending_save = False  # 是否有待保存的更改
+
+        # 存储控件的字典
+        self.widgets = {}
+
+        # 创建主框架
+        self.main_frame = ttk.Frame(self.root, padding="10")
+        self.main_frame.grid(row=0, column=0, sticky=(tk.W, tk.E, tk.N, tk.S))
+
+        # 创建版本号显示
+        self.create_version_label()
+
+        # 创建左侧导航栏
+        self.create_navbar()
+
+        # 创建右侧编辑区
+        self.create_editor()
+
+        # 创建底部按钮
+        self.create_buttons()
+
+        # 配置网格权重
+        self.root.columnconfigure(0, weight=1)
+        self.root.rowconfigure(0, weight=1)
+        self.main_frame.columnconfigure(1, weight=1)
+        self.main_frame.rowconfigure(1, weight=1)  # 修改为1，因为第0行是版本号
+
+    def load_editor_config(self):
+        """加载编辑器配置"""
+        try:
+            editor_config_path = os.path.join(os.path.dirname(__file__), "configexe.toml")
+            with open(editor_config_path, "rb") as f:
+                self.editor_config = tomli.load(f)  # 保存整个配置对象
+
+            # 设置配置路径
+            self.config_path = self.editor_config["config"]["bot_config_path"]
+            # 如果路径是相对路径，转换为绝对路径
+            if not os.path.isabs(self.config_path):
+                self.config_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), self.config_path)
+
+            # 设置编辑器参数
+            self.window_width = self.editor_config["editor"]["window_width"]
+            self.window_height = self.editor_config["editor"]["window_height"]
+            self.save_delay = self.editor_config["editor"]["save_delay"]
+
+            # 加载翻译
+            self.translations = self.editor_config.get("translations", {})
+
+        except Exception as e:
+            messagebox.showerror("错误", f"加载编辑器配置失败: {str(e)}")
+            # 使用默认值
+            self.editor_config = {}  # 初始化空配置
+            self.config_path = "config/bot_config.toml"
+            self.window_width = 1000
+            self.window_height = 800
+            self.save_delay = 1.0
+            self.translations = {}
+
+    def load_config(self):
+        try:
+            with open(self.config_path, "rb") as f:
+                self.config = tomli.load(f)
+        except Exception as e:
+            messagebox.showerror("错误", f"加载配置文件失败: {str(e)}")
+            self.config = {}
+
+    def create_version_label(self):
+        """创建版本号显示标签"""
+        version = self.config.get("inner", {}).get("version", "未知版本")
+        version_frame = ttk.Frame(self.main_frame)
+        version_frame.grid(row=0, column=0, columnspan=2, sticky=(tk.W, tk.E), pady=(0, 10))
+
+        version_label = ttk.Label(version_frame, text=f"麦麦版本：{version}", font=("", 10, "bold"))
+        version_label.pack(side=tk.LEFT, padx=5)
+
+    def create_navbar(self):
+        # 创建左侧导航栏
+        self.nav_frame = ttk.Frame(self.main_frame, padding="5")
+        self.nav_frame.grid(row=1, column=0, sticky=(tk.W, tk.E, tk.N, tk.S))
+
+        # 创建导航树
+        self.tree = ttk.Treeview(self.nav_frame)
+        self.tree.pack(fill=tk.BOTH, expand=True)
+
+        # 添加快捷设置节
+        self.tree.insert("", "end", text="快捷设置", values=("quick_settings",))
+
+        # 添加配置项到树
+        for section in self.config:
+            if section != "inner":  # 跳过inner部分
+                # 获取节的中文名称
+                section_trans = self.translations.get("sections", {}).get(section, {})
+                section_name = section_trans.get("name", section)
+                self.tree.insert("", "end", text=section_name, values=(section,))
+
+        # 绑定选择事件
+        self.tree.bind("<<TreeviewSelect>>", self.on_section_select)
+
+    def create_editor(self):
+        # 创建右侧编辑区
+        self.editor_frame = ttk.Frame(self.main_frame, padding="5")
+        self.editor_frame.grid(row=1, column=1, sticky=(tk.W, tk.E, tk.N, tk.S))
+
+        # 创建编辑区标题
+        self.editor_title = ttk.Label(self.editor_frame, text="")
+        self.editor_title.pack(fill=tk.X)
+
+        # 创建编辑区内容
+        self.editor_content = ttk.Frame(self.editor_frame)
+        self.editor_content.pack(fill=tk.BOTH, expand=True)
+
+        # 创建滚动条
+        self.scrollbar = ttk.Scrollbar(self.editor_content)
+        self.scrollbar.pack(side=tk.RIGHT, fill=tk.Y)
+
+        # 创建画布和框架
+        self.canvas = tk.Canvas(self.editor_content, yscrollcommand=self.scrollbar.set)
+        self.canvas.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
+        self.scrollbar.config(command=self.canvas.yview)
+
+        # 创建内容框架
+        self.content_frame = ttk.Frame(self.canvas)
+        self.canvas.create_window((0, 0), window=self.content_frame, anchor=tk.NW)
+
+        # 绑定画布大小变化事件
+        self.content_frame.bind("<Configure>", self.on_frame_configure)
+        self.canvas.bind("<Configure>", self.on_canvas_configure)
+
+    def on_frame_configure(self, event=None):
+        self.canvas.configure(scrollregion=self.canvas.bbox("all"))
+
+    def on_canvas_configure(self, event):
+        # 更新内容框架的宽度以适应画布
+        self.canvas.itemconfig(self.canvas.find_withtag("all")[0], width=event.width)
+
+    def create_buttons(self):
+        # 创建底部按钮区
+        self.button_frame = ttk.Frame(self.main_frame, padding="5")
+        self.button_frame.grid(row=2, column=0, columnspan=2, sticky=(tk.W, tk.E))
+
+        # 刷新按钮
+        self.refresh_button = ttk.Button(self.button_frame, text="刷新", command=self.refresh_config)
+        self.refresh_button.pack(side=tk.RIGHT, padx=5)
+
+    def create_widget_for_value(self, parent: ttk.Frame, key: str, value: Any, path: List[str]) -> None:
+        """为不同类型的值创建对应的编辑控件"""
+        frame = ttk.Frame(parent)
+        frame.pack(fill=tk.X, padx=5, pady=2)
+
+        # --- 修改开始: 改进翻译查找逻辑 ---
+        full_config_path_key = ".".join(path + [key])  # 例如 "chinese_typo.enable"
+
+        item_name_to_display = key  # 默认显示原始键名
+        item_desc_to_display = ""  # 默认无描述
+
+        # 1. 尝试使用完整路径的特定翻译
+        specific_translation = self.translations.get("items", {}).get(full_config_path_key)
+        if specific_translation and specific_translation.get("name"):
+            item_name_to_display = specific_translation.get("name")
+            item_desc_to_display = specific_translation.get("description", "")
+        else:
+            # 2. 如果特定翻译未找到或没有name，尝试使用通用键名的翻译
+            generic_translation = self.translations.get("items", {}).get(key)
+            if generic_translation and generic_translation.get("name"):
+                item_name_to_display = generic_translation.get("name")
+                item_desc_to_display = generic_translation.get("description", "")
+        # --- 修改结束 ---
+
+        # 配置名（大号字体）
+        label = ttk.Label(frame, text=item_name_to_display, font=("", 20, "bold"))
+        label.grid(row=0, column=0, sticky=tk.W, padx=5, pady=(0, 0))
+
+        # 星星图标快捷设置（与配置名同一行）
+        content_col_offset_for_star = 1  # 星标按钮占一列
+        quick_settings = self.editor_config.get("editor", {}).get("quick_settings", {}).get("items", [])
+        already_in_quick = any(item.get("path") == full_config_path_key for item in quick_settings)
+        icon = "★" if already_in_quick else "☆"
+        icon_fg = "#FFD600"  # 始终金色
+
+        def on_star_click():
+            self.toggle_quick_setting(
+                full_config_path_key, widget_type, item_name_to_display, item_desc_to_display, already_in_quick
+            )
+            # 立即刷新本分组
+            for widget in parent.winfo_children():
+                widget.destroy()
+            self.widgets.clear()
+            # 重新渲染本分组
+            if hasattr(self, "current_section") and self.current_section and self.current_section != "quick_settings":
+                self.create_section_widgets(
+                    parent, self.current_section, self.config[self.current_section], [self.current_section]
+                )
+            elif hasattr(self, "current_section") and self.current_section == "quick_settings":
+                self.create_quick_settings_widgets()  # 如果当前是快捷设置，也刷新它
+
+        pin_btn = ttk.Button(frame, text=icon, width=2, command=on_star_click)
+        pin_btn.grid(row=0, column=content_col_offset_for_star, sticky=tk.W, padx=5)
+        try:
+            pin_btn.configure(style="Pin.TButton")
+            style = ttk.Style()
+            style.configure("Pin.TButton", foreground=icon_fg)
+        except Exception:
+            pass
+
+        # 配置项描述（第二行）
+        desc_row = 1
+        if item_desc_to_display:
+            desc_label = ttk.Label(frame, text=item_desc_to_display, foreground="gray", font=("", 16))
+            desc_label.grid(
+                row=desc_row, column=0, columnspan=content_col_offset_for_star + 1, sticky=tk.W, padx=5, pady=(0, 4)
+            )
+            widget_row = desc_row + 1  # 内容控件在描述下方
+        else:
+            widget_row = desc_row  # 内容控件直接在第二行
+
+        # 配置内容控件（第三行或第二行）
+        if path[0] == "inner":
+            value_label = ttk.Label(frame, text=str(value), font=("", 20))
+            value_label.grid(row=widget_row, column=0, columnspan=content_col_offset_for_star + 1, sticky=tk.W, padx=5)
+            return
+
+        if isinstance(value, bool):
+            # 布尔值使用复选框
+            var = tk.BooleanVar(value=value)
+            checkbox = ttk.Checkbutton(frame, variable=var, command=lambda: self.on_value_changed())
+            checkbox.grid(row=widget_row, column=0, columnspan=content_col_offset_for_star + 1, sticky=tk.W, padx=5)
+            self.widgets[tuple(path + [key])] = var
+            widget_type = "bool"
+
+        elif isinstance(value, (int, float)):
+            # 数字使用数字输入框
+            var = tk.StringVar(value=str(value))
+            entry = ttk.Entry(frame, textvariable=var, font=("", 20))
+            entry.grid(row=widget_row, column=0, columnspan=content_col_offset_for_star + 1, sticky=tk.W + tk.E, padx=5)
+            var.trace_add("write", lambda *args: self.on_value_changed())
+            self.widgets[tuple(path + [key])] = var
+            widget_type = "number"
+
+        elif isinstance(value, list):
+            # 列表使用每行一个输入框的形式
+            frame_list = ttk.Frame(frame)
+            frame_list.grid(
+                row=widget_row, column=0, columnspan=content_col_offset_for_star + 1, sticky=tk.W + tk.E, padx=5
+            )
+
+            # 创建添加和删除按钮
+            button_frame = ttk.Frame(frame_list)
+            button_frame.pack(side=tk.RIGHT, padx=5)
+
+            add_button = ttk.Button(
+                button_frame, text="+", width=3, command=lambda p=path + [key]: self.add_list_item(frame_list, p)
+            )
+            add_button.pack(side=tk.TOP, pady=2)
+
+            # 创建列表项框架
+            items_frame = ttk.Frame(frame_list)
+            items_frame.pack(side=tk.LEFT, fill=tk.X, expand=True)
+
+            # 存储所有输入框的变量
+            entry_vars = []
+
+            # 为每个列表项创建输入框
+            for i, item in enumerate(value):
+                self.create_list_item(items_frame, item, i, entry_vars, path + [key])
+
+            # 存储控件引用
+            self.widgets[tuple(path + [key])] = (items_frame, entry_vars)
+            widget_type = "list"
+
+        else:
+            # 其他类型（字符串等）使用普通文本框
+            var = tk.StringVar(value=str(value))
+            entry = ttk.Entry(frame, textvariable=var, font=("", 20))
+            entry.grid(row=widget_row, column=0, columnspan=content_col_offset_for_star + 1, sticky=tk.W + tk.E, padx=5)
+            var.trace_add("write", lambda *args: self.on_value_changed())
+            self.widgets[tuple(path + [key])] = var
+            widget_type = "text"
+
+    def create_section_widgets(self, parent: ttk.Frame, section: str, data: Dict, path=None) -> None:
+        """为配置节创建编辑控件"""
+        if path is None:
+            path = [section]
+        # 获取节的中文名称和描述
+        section_trans = self.translations.get("sections", {}).get(section, {})
+        section_name = section_trans.get("name", section)
+        section_desc = section_trans.get("description", "")
+
+        # 创建节的标签框架
+        section_frame = ttk.Frame(parent)
+        section_frame.pack(fill=tk.X, padx=5, pady=10)
+
+        # 创建节的名称标签
+        section_label = ttk.Label(section_frame, text=f"[{section_name}]", font=("", 12, "bold"))
+        section_label.pack(side=tk.LEFT, padx=5)
+
+        # 创建节的描述标签
+        if section_desc:
+            desc_label = ttk.Label(section_frame, text=f"({section_desc})", foreground="gray")
+            desc_label.pack(side=tk.LEFT, padx=5)
+
+        # 为每个配置项创建对应的控件
+        for key, value in data.items():
+            if isinstance(value, dict):
+                self.create_section_widgets(parent, key, value, path + [key])
+            else:
+                self.create_widget_for_value(parent, key, value, path)
+
+    def on_value_changed(self):
+        """当值改变时触发自动保存"""
+        self.pending_save = True
+        current_time = time.time()
+        if current_time - self.last_save_time > self.save_delay:
+            if self.save_timer:
+                self.root.after_cancel(self.save_timer)
+            self.save_timer = self.root.after(int(self.save_delay * 1000), self.save_config)
+
+    def on_section_select(self, event):
+        # 如果有待保存的更改，先保存
+        if self.pending_save:
+            self.save_config()
+
+        selection = self.tree.selection()
+        if not selection:
+            return
+
+        section = self.tree.item(selection[0])["values"][0]  # 使用values中的原始节名
+        self.current_section = section
+
+        # 获取节的中文名称
+        if section == "quick_settings":
+            section_name = "快捷设置"
+        else:
+            section_trans = self.translations.get("sections", {}).get(section, {})
+            section_name = section_trans.get("name", section)
+        self.editor_title.config(text=f"编辑 {section_name}")
+
+        # 清空编辑器
+        for widget in self.content_frame.winfo_children():
+            widget.destroy()
+
+        # 清空控件字典
+        self.widgets.clear()
+
+        # 创建编辑控件
+        if section == "quick_settings":
+            self.create_quick_settings_widgets()
+        elif section in self.config:
+            self.create_section_widgets(self.content_frame, section, self.config[section])
+
+    def create_quick_settings_widgets(self):
+        """创建快捷设置编辑界面"""
+        # 获取快捷设置配置
+        quick_settings = self.editor_config.get("editor", {}).get("quick_settings", {}).get("items", [])
+
+        # 创建快捷设置控件
+        for setting in quick_settings:
+            frame = ttk.Frame(self.content_frame)
+            frame.pack(fill=tk.X, padx=5, pady=2)
+
+            # 获取当前值
+            path = setting["path"].split(".")
+            current = self.config
+            for key in path[:-1]:  # 除了最后一个键
+                current = current.get(key, {})
+            value = current.get(path[-1])  # 获取最后一个键的值
+
+            # 创建名称标签
+            name_label = ttk.Label(frame, text=setting["name"], font=("", 18))
+            name_label.pack(fill=tk.X, padx=5, pady=(2, 0))
+
+            # 创建描述标签
+            if setting.get("description"):
+                desc_label = ttk.Label(frame, text=setting["description"], foreground="gray", font=("", 16))
+                desc_label.pack(fill=tk.X, padx=5, pady=(0, 2))
+
+            # 根据类型创建不同的控件
+            setting_type = setting.get("type", "bool")
+
+            if setting_type == "bool":
+                value = bool(value) if value is not None else False
+                var = tk.BooleanVar(value=value)
+                checkbox = ttk.Checkbutton(
+                    frame, text="", variable=var, command=lambda p=path, v=var: self.on_quick_setting_changed(p, v)
+                )
+                checkbox.pack(anchor=tk.W, padx=5, pady=(0, 5))
+
+            elif setting_type == "text":
+                value = str(value) if value is not None else ""
+                var = tk.StringVar(value=value)
+                entry = ttk.Entry(frame, textvariable=var, width=40, font=("", 18))
+                entry.pack(fill=tk.X, padx=5, pady=(0, 5))
+                var.trace_add("write", lambda *args, p=path, v=var: self.on_quick_setting_changed(p, v))
+
+            elif setting_type == "number":
+                value = str(value) if value is not None else "0"
+                var = tk.StringVar(value=value)
+                entry = ttk.Entry(frame, textvariable=var, width=10, font=("", 18))
+                entry.pack(fill=tk.X, padx=5, pady=(0, 5))
+                var.trace_add("write", lambda *args, p=path, v=var: self.on_quick_setting_changed(p, v))
+
+            elif setting_type == "list":
+                # 对于列表类型，创建一个按钮来打开编辑窗口
+                button = ttk.Button(
+                    frame, text="编辑列表", command=lambda p=path, s=setting: self.open_list_editor(p, s)
+                )
+                button.pack(anchor=tk.W, padx=5, pady=(0, 5))
+
+    def create_list_item(self, parent, value, index, entry_vars, path):
+        """创建单个列表项的输入框"""
+        item_frame = ttk.Frame(parent)
+        item_frame.pack(fill=tk.X, pady=1)
+
+        # 创建输入框
+        var = tk.StringVar(value=str(value))
+        entry = ttk.Entry(item_frame, textvariable=var)
+        entry.pack(side=tk.LEFT, fill=tk.X, expand=True, padx=5)
+        var.trace_add("write", lambda *args: self.on_value_changed())
+
+        # 创建删除按钮
+        del_button = ttk.Button(
+            item_frame,
+            text="-",
+            width=3,
+            command=lambda: self.remove_list_item(parent, item_frame, entry_vars, index, path),
+        )
+        del_button.pack(side=tk.RIGHT, padx=5)
+
+        # 存储变量引用
+        entry_vars.append(var)
+
+    def add_list_item(self, parent, path):
+        """添加新的列表项"""
+        items_frame = parent.winfo_children()[1]  # 获取列表项框架
+        entry_vars = self.widgets[tuple(path)][1]  # 获取变量列表
+
+        # 创建新的列表项
+        self.create_list_item(items_frame, "", len(entry_vars), entry_vars, path)
+        self.on_value_changed()
+
+    def remove_list_item(self, parent, item_frame, entry_vars, index, path):
+        """删除列表项"""
+        item_frame.destroy()
+        entry_vars.pop(index)
+        self.on_value_changed()
+
+    def get_widget_value(self, widget) -> Any:
+        """获取控件的值"""
+        if isinstance(widget, tk.BooleanVar):
+            return widget.get()
+        elif isinstance(widget, tk.StringVar):
+            value = widget.get()
+            try:
+                # 尝试转换为数字
+                if "." in value:
+                    return float(value)
+                return int(value)
+            except ValueError:
+                return value
+        elif isinstance(widget, tuple):  # 列表类型
+            items_frame, entry_vars = widget
+            # 获取所有非空输入框的值
+            return [var.get() for var in entry_vars if var.get().strip()]
+        return None
+
+    def save_config(self):
+        """保存配置到文件"""
+        if not self.pending_save:
+            return
+
+        with self.save_lock:
+            try:
+                # 获取所有控件的值
+                for path, widget in self.widgets.items():
+                    value = self.get_widget_value(widget)
+                    # 更新配置
+                    current = self.config
+                    for key in path[:-1]:
+                        current = current[key]
+                    final_key = path[-1]  # 直接用最后一个key
+                    current[final_key] = value
+
+                # 保存到文件
+                with open(self.config_path, "wb") as f:
+                    tomli_w.dump(self.config, f)
+
+                self.last_save_time = time.time()
+                self.pending_save = False
+                self.editor_title.config(text=f"{self.editor_title.cget('text')} (已保存)")
+                self.root.after(
+                    2000, lambda: self.editor_title.config(text=self.editor_title.cget("text").replace(" (已保存)", ""))
+                )
+            except Exception as e:
+                messagebox.showerror("错误", f"保存配置失败: {str(e)}")
+
+    def refresh_config(self):
+        # 如果有待保存的更改，先保存
+        if self.pending_save:
+            self.save_config()
+
+        self.load_config()
+        self.tree.delete(*self.tree.get_children())
+        for section in self.config:
+            # 获取节的中文名称
+            section_trans = self.translations.get("sections", {}).get(section, {})
+            section_name = section_trans.get("name", section)
+            self.tree.insert("", "end", text=section_name, values=(section,))
+        messagebox.showinfo("成功", "配置已刷新")
+
+    def open_list_editor(self, path, setting):
+        """打开列表编辑窗口"""
+        # 创建新窗口
+        dialog = tk.Toplevel(self.root)
+        dialog.title(f"编辑 {setting['name']}")
+        dialog.geometry("400x300")
+
+        # 获取当前值
+        current = self.config
+        for key in path[:-1]:
+            current = current.get(key, {})
+        value = current.get(path[-1], [])
+
+        # 创建编辑区
+        frame = ttk.Frame(dialog, padding="10")
+        frame.pack(fill=tk.BOTH, expand=True)
+
+        # 创建列表项框架
+        items_frame = ttk.Frame(frame)
+        items_frame.pack(fill=tk.BOTH, expand=True)
+
+        # 存储所有输入框的变量
+        entry_vars = []
+
+        # 为每个列表项创建输入框
+        for i, item in enumerate(value):
+            self.create_list_item(items_frame, item, i, entry_vars, path)
+
+        # 创建按钮框架
+        button_frame = ttk.Frame(frame)
+        button_frame.pack(fill=tk.X, pady=10)
+
+        # 添加按钮
+        add_button = ttk.Button(button_frame, text="添加", command=lambda: self.add_list_item(items_frame, path))
+        add_button.pack(side=tk.LEFT, padx=5)
+
+        # 保存按钮
+        save_button = ttk.Button(
+            button_frame, text="保存", command=lambda: self.save_list_editor(dialog, path, entry_vars)
+        )
+        save_button.pack(side=tk.RIGHT, padx=5)
+
+    def save_list_editor(self, dialog, path, entry_vars):
+        """保存列表编辑窗口的内容"""
+        # 获取所有非空输入框的值
+        values = [var.get() for var in entry_vars if var.get().strip()]
+
+        # 更新配置
+        current = self.config
+        for key in path[:-1]:
+            if key not in current:
+                current[key] = {}
+            current = current[key]
+        current[path[-1]] = values
+
+        # 触发保存
+        self.on_value_changed()
+
+        # 关闭窗口
+        dialog.destroy()
+
+    def on_quick_setting_changed(self, path, var):
+        """快捷设置值改变时的处理"""
+        # 更新配置
+        current = self.config
+        for key in path[:-1]:
+            if key not in current:
+                current[key] = {}
+            current = current[key]
+        # 根据变量类型设置值
+        if isinstance(var, tk.BooleanVar):
+            current[path[-1]] = var.get()
+        elif isinstance(var, tk.StringVar):
+            value = var.get()
+            try:
+                # 尝试转换为数字
+                if "." in value:
+                    current[path[-1]] = float(value)
+                else:
+                    current[path[-1]] = int(value)
+            except ValueError:
+                current[path[-1]] = value
+        # 触发保存
+        self.on_value_changed()
+
+    def toggle_quick_setting(self, full_path, widget_type, name, desc, already_in_quick):
+        quick_settings = (
+            self.editor_config.setdefault("editor", {}).setdefault("quick_settings", {}).setdefault("items", [])
+        )
+        if already_in_quick:
+            # 移除
+            self.editor_config["editor"]["quick_settings"]["items"] = [
+                item for item in quick_settings if item.get("path") != full_path
+            ]
+        else:
+            # 添加
+            quick_settings.append({"name": name, "description": desc, "path": full_path, "type": widget_type})
+        # 保存到configexe.toml
+        import tomli_w
+        import os
+
+        config_path = os.path.join(os.path.dirname(__file__), "configexe.toml")
+        with open(config_path, "wb") as f:
+            tomli_w.dump(self.editor_config, f)
+        self.refresh_quick_settings()
+
+    def refresh_quick_settings(self):
+        # 重新渲染快捷设置栏（如果当前在快捷设置页）
+        if self.current_section == "quick_settings":
+            for widget in self.content_frame.winfo_children():
+                widget.destroy()
+            self.widgets.clear()
+            self.create_quick_settings_widgets()
+
+
+def main():
+    root = tk.Tk()
+    _app = ConfigEditor(root)
+    root.mainloop()
+
+
+if __name__ == "__main__":
+    main()

scripts/configexe.toml

@@ -0,0 +1,497 @@
+[config]
+bot_config_path = "config/bot_config.toml"
+
+[editor]
+window_width = 1000
+window_height = 800
+save_delay = 1.0
+
+[[editor.quick_settings.items]]
+name = "性格细节"
+description = "麦麦性格的细节描述，条数任意，不能为0"
+path = "personality.personality_sides"
+type = "list"
+
+[[editor.quick_settings.items]]
+name = "身份细节"
+description = "麦麦的身份特征描述，可以描述外貌、性别、身高、职业、属性等"
+path = "identity.identity_detail"
+type = "list"
+
+[[editor.quick_settings.items]]
+name = "表达风格"
+description = "麦麦说话的表达风格，表达习惯"
+path = "expression.expression_style"
+type = "text"
+
+[[editor.quick_settings.items]]
+name = "聊天模式"
+description = "麦麦的聊天模式：normal（普通模式）、focus（专注模式）、auto（自动模式）"
+path = "chat.chat_mode"
+type = "text"
+
+[[editor.quick_settings.items]]
+name = "退出专注阈值"
+description = "自动退出专注聊天的阈值，越低越容易退出专注聊天"
+path = "chat.exit_focus_threshold"
+type = "number"
+
+[[editor.quick_settings.items]]
+name = "偷取表情包"
+description = "是否偷取表情包，让麦麦可以发送她保存的这些表情包"
+path = "emoji.steal_emoji"
+type = "bool"
+
+[[editor.quick_settings.items]]
+name = "核心性格"
+description = "麦麦的核心性格描述，建议50字以内"
+path = "personality.personality_core"
+type = "text"
+
+[[editor.quick_settings.items]]
+name = "自动专注阈值"
+description = "自动切换到专注聊天的阈值，越低越容易进入专注聊天"
+path = "chat.auto_focus_threshold"
+type = "number"
+
+[[editor.quick_settings.items]]
+name = "自我识别处理器"
+description = "是否启用自我识别处理器"
+path = "focus_chat_processor.self_identify_processor"
+type = "bool"
+
+[[editor.quick_settings.items]]
+name = "工具使用处理器"
+description = "是否启用工具使用处理器"
+path = "focus_chat_processor.tool_use_processor"
+type = "bool"
+
+[[editor.quick_settings.items]]
+name = "工作记忆处理器"
+description = "是否启用工作记忆处理器，不稳定，消耗量大"
+path = "focus_chat_processor.working_memory_processor"
+type = "bool"
+
+[translations.sections.inner]
+name = "版本"
+description = "麦麦的内部配置，包含版本号等信息。此部分仅供显示，不可编辑。"
+
+[translations.sections.bot]
+name = "麦麦bot配置"
+description = "麦麦的基本配置，包括QQ号、昵称和别名等基础信息"
+
+[translations.sections.personality]
+name = "人格"
+description = "麦麦的性格设定，包括核心性格（建议50字以内）和细节描述"
+
+[translations.sections.identity]
+name = "身份特点"
+description = "麦麦的身份特征，包括年龄、性别、外貌等描述，可以描述外貌、性别、身高、职业、属性等"
+
+[translations.sections.expression]
+name = "表达方式"
+description = "麦麦的表达方式和学习设置，包括表达风格和表达学习功能"
+
+[translations.sections.relationship]
+name = "关系"
+description = "麦麦与用户的关系设置，包括取名功能等"
+
+[translations.sections.chat]
+name = "聊天模式"
+description = "麦麦的聊天模式和行为设置，包括普通模式、专注模式和自动模式"
+
+[translations.sections.message_receive]
+name = "消息接收"
+description = "消息过滤和接收设置，可以根据规则过滤特定消息"
+
+[translations.sections.normal_chat]
+name = "普通聊天配置"
+description = "普通聊天模式下的行为设置，包括回复概率、上下文长度、表情包使用等"
+
+[translations.sections.focus_chat]
+name = "专注聊天配置"
+description = "专注聊天模式下的行为设置，包括思考间隔、上下文大小等"
+
+[translations.sections.focus_chat_processor]
+name = "专注聊天处理器"
+description = "专注聊天模式下的处理器设置，包括自我识别、工具使用、工作记忆等功能"
+
+[translations.sections.emoji]
+name = "表情包"
+description = "表情包相关的设置，包括最大注册数量、替换策略、检查间隔等"
+
+[translations.sections.memory]
+name = "记忆"
+description = "麦麦的记忆系统设置，包括记忆构建、遗忘、整合等参数"
+
+[translations.sections.mood]
+name = "情绪"
+description = "麦麦的情绪系统设置，仅在普通聊天模式下有效"
+
+[translations.sections.keyword_reaction]
+name = "关键词反应"
+description = "针对特定关键词作出反应的设置，仅在普通聊天模式下有效"
+
+[translations.sections.chinese_typo]
+name = "错别字生成器"
+description = "中文错别字生成器的设置，可以控制错别字生成的概率"
+
+[translations.sections.response_splitter]
+name = "回复分割器"
+description = "回复分割器的设置，用于控制回复的长度和句子数量"
+
+[translations.sections.model]
+name = "模型"
+description = "各种AI模型的设置，包括组件模型、普通聊天模型、专注聊天模型等"
+
+[translations.sections.maim_message]
+name = "消息服务"
+description = "消息服务的设置，包括认证令牌、服务器配置等"
+
+[translations.sections.telemetry]
+name = "遥测"
+description = "统计信息发送设置，用于统计全球麦麦的数量"
+
+[translations.sections.experimental]
+name = "实验功能"
+description = "实验性功能的设置，包括调试显示、好友聊天等功能"
+
+[translations.items.version]
+name = "版本号"
+description = "麦麦的版本号，格式：主版本号.次版本号.修订号。主版本号用于不兼容的API修改，次版本号用于向下兼容的功能性新增，修订号用于向下兼容的问题修正"
+
+[translations.items.qq_account]
+name = "QQ账号"
+description = "麦麦的QQ账号"
+
+[translations.items.nickname]
+name = "昵称"
+description = "麦麦的昵称"
+
+[translations.items.alias_names]
+name = "别名"
+description = "麦麦的其他称呼"
+
+[translations.items.personality_core]
+name = "核心性格"
+description = "麦麦的核心性格描述，建议50字以内"
+
+[translations.items.personality_sides]
+name = "性格细节"
+description = "麦麦性格的细节描述，条数任意，不能为0"
+
+[translations.items.identity_detail]
+name = "身份细节"
+description = "麦麦的身份特征描述，可以描述外貌、性别、身高、职业、属性等，条数任意，不能为0"
+
+[translations.items.expression_style]
+name = "表达风格"
+description = "麦麦说话的表达风格，表达习惯"
+
+[translations.items.enable_expression_learning]
+name = "启用表达学习"
+description = "是否启用表达学习功能，麦麦会学习人类说话风格"
+
+[translations.items.learning_interval]
+name = "学习间隔"
+description = "表达学习的间隔时间（秒）"
+
+[translations.items.give_name]
+name = "取名功能"
+description = "麦麦是否给其他人取名，关闭后无法使用禁言功能"
+
+[translations.items.chat_mode]
+name = "聊天模式"
+description = "麦麦的聊天模式：normal（普通模式，token消耗较低）、focus（专注模式，token消耗较高）、auto（自动模式，根据消息内容自动切换）"
+
+[translations.items.auto_focus_threshold]
+name = "自动专注阈值"
+description = "自动切换到专注聊天的阈值，越低越容易进入专注聊天"
+
+[translations.items.exit_focus_threshold]
+name = "退出专注阈值"
+description = "自动退出专注聊天的阈值，越低越容易退出专注聊天"
+
+[translations.items.ban_words]
+name = "禁用词"
+description = "需要过滤的词语列表"
+
+[translations.items.ban_msgs_regex]
+name = "禁用消息正则"
+description = "需要过滤的消息正则表达式，匹配到的消息将被过滤"
+
+[translations.items.normal_chat_first_probability]
+name = "首要模型概率"
+description = "麦麦回答时选择首要模型的概率（与之相对的，次要模型的概率为1 - normal_chat_first_probability）"
+
+[translations.items.max_context_size]
+name = "最大上下文长度"
+description = "聊天上下文的最大长度"
+
+[translations.items.emoji_chance]
+name = "表情包概率"
+description = "麦麦一般回复时使用表情包的概率，设置为1让麦麦自己决定发不发"
+
+[translations.items.thinking_timeout]
+name = "思考超时"
+description = "麦麦最长思考时间，超过这个时间的思考会放弃（往往是api反应太慢）"
+
+[translations.items.willing_mode]
+name = "回复意愿模式"
+description = "回复意愿的计算模式：经典模式（classical）、mxp模式（mxp）、自定义模式（custom）"
+
+[translations.items.talk_frequency]
+name = "回复频率"
+description = "麦麦回复频率，一般为1，默认频率下，30分钟麦麦回复30条（约数）"
+
+[translations.items.response_willing_amplifier]
+name = "回复意愿放大系数"
+description = "麦麦回复意愿放大系数，一般为1"
+
+[translations.items.response_interested_rate_amplifier]
+name = "兴趣度放大系数"
+description = "麦麦回复兴趣度放大系数，听到记忆里的内容时放大系数"
+
+[translations.items.emoji_response_penalty]
+name = "表情包回复惩罚"
+description = "表情包回复惩罚系数，设为0为不回复单个表情包，减少单独回复表情包的概率"
+
+[translations.items.mentioned_bot_inevitable_reply]
+name = "提及必回"
+description = "被提及时是否必然回复"
+
+[translations.items.at_bot_inevitable_reply]
+name = "@必回"
+description = "被@时是否必然回复"
+
+[translations.items.down_frequency_rate]
+name = "降低频率系数"
+description = "降低回复频率的群组回复意愿降低系数（除法）"
+
+[translations.items.talk_frequency_down_groups]
+name = "降低频率群组"
+description = "需要降低回复频率的群组列表"
+
+[translations.items.think_interval]
+name = "思考间隔"
+description = "思考的时间间隔（秒），可以有效减少消耗"
+
+[translations.items.observation_context_size]
+name = "观察上下文大小"
+description = "观察到的最长上下文大小，建议15，太短太长都会导致脑袋尖尖"
+
+[translations.items.compressed_length]
+name = "压缩长度"
+description = "不能大于observation_context_size，心流上下文压缩的最短压缩长度，超过心流观察到的上下文长度会压缩，最短压缩长度为5"
+
+[translations.items.compress_length_limit]
+name = "压缩限制"
+description = "最多压缩份数，超过该数值的压缩上下文会被删除"
+
+[translations.items.self_identify_processor]
+name = "自我识别处理器"
+description = "是否启用自我识别处理器"
+
+[translations.items.tool_use_processor]
+name = "工具使用处理器"
+description = "是否启用工具使用处理器"
+
+[translations.items.working_memory_processor]
+name = "工作记忆处理器"
+description = "是否启用工作记忆处理器，不稳定，消耗量大"
+
+[translations.items.max_reg_num]
+name = "最大注册数"
+description = "表情包最大注册数量"
+
+[translations.items.do_replace]
+name = "启用替换"
+description = "开启则在达到最大数量时删除（替换）表情包，关闭则达到最大数量时不会继续收集表情包"
+
+[translations.items.check_interval]
+name = "检查间隔"
+description = "检查表情包（注册，破损，删除）的时间间隔（分钟）"
+
+[translations.items.save_pic]
+name = "保存图片"
+description = "是否保存表情包图片"
+
+[translations.items.cache_emoji]
+name = "缓存表情包"
+description = "是否缓存表情包"
+
+[translations.items.steal_emoji]
+name = "偷取表情包"
+description = "是否偷取表情包，让麦麦可以发送她保存的这些表情包"
+
+[translations.items.content_filtration]
+name = "内容过滤"
+description = "是否启用表情包过滤，只有符合该要求的表情包才会被保存"
+
+[translations.items.filtration_prompt]
+name = "过滤要求"
+description = "表情包过滤要求，只有符合该要求的表情包才会被保存"
+
+[translations.items.memory_build_interval]
+name = "记忆构建间隔"
+description = "记忆构建间隔（秒），间隔越低，麦麦学习越多，但是冗余信息也会增多"
+
+[translations.items.memory_build_distribution]
+name = "记忆构建分布"
+description = "记忆构建分布，参数：分布1均值，标准差，权重，分布2均值，标准差，权重"
+
+[translations.items.memory_build_sample_num]
+name = "采样数量"
+description = "采样数量，数值越高记忆采样次数越多"
+
+[translations.items.memory_build_sample_length]
+name = "采样长度"
+description = "采样长度，数值越高一段记忆内容越丰富"
+
+[translations.items.memory_compress_rate]
+name = "记忆压缩率"
+description = "记忆压缩率，控制记忆精简程度，建议保持默认，调高可以获得更多信息，但是冗余信息也会增多"
+
+[translations.items.forget_memory_interval]
+name = "记忆遗忘间隔"
+description = "记忆遗忘间隔（秒），间隔越低，麦麦遗忘越频繁，记忆更精简，但更难学习"
+
+[translations.items.memory_forget_time]
+name = "遗忘时间"
+description = "多长时间后的记忆会被遗忘（小时）"
+
+[translations.items.memory_forget_percentage]
+name = "遗忘比例"
+description = "记忆遗忘比例，控制记忆遗忘程度，越大遗忘越多，建议保持默认"
+
+[translations.items.consolidate_memory_interval]
+name = "记忆整合间隔"
+description = "记忆整合间隔（秒），间隔越低，麦麦整合越频繁，记忆更精简"
+
+[translations.items.consolidation_similarity_threshold]
+name = "整合相似度阈值"
+description = "相似度阈值"
+
+[translations.items.consolidation_check_percentage]
+name = "整合检查比例"
+description = "检查节点比例"
+
+[translations.items.memory_ban_words]
+name = "记忆禁用词"
+description = "不希望记忆的词，已经记忆的不会受到影响"
+
+[translations.items.mood_update_interval]
+name = "情绪更新间隔"
+description = "情绪更新间隔（秒），仅在普通聊天模式下有效"
+
+[translations.items.mood_decay_rate]
+name = "情绪衰减率"
+description = "情绪衰减率"
+
+[translations.items.mood_intensity_factor]
+name = "情绪强度因子"
+description = "情绪强度因子"
+
+[translations.items.enable]
+name = "启用关键词反应"
+description = "关键词反应功能的总开关，仅在普通聊天模式下有效"
+
+[translations.items.chinese_typo_enable]
+name = "启用错别字"
+description = "是否启用中文错别字生成器"
+
+[translations.items.error_rate]
+name = "错误率"
+description = "单字替换概率"
+
+[translations.items.min_freq]
+name = "最小字频"
+description = "最小字频阈值"
+
+[translations.items.tone_error_rate]
+name = "声调错误率"
+description = "声调错误概率"
+
+[translations.items.word_replace_rate]
+name = "整词替换率"
+description = "整词替换概率"
+
+[translations.items.splitter_enable]
+name = "启用分割器"
+description = "是否启用回复分割器"
+
+[translations.items.max_length]
+name = "最大长度"
+description = "回复允许的最大长度"
+
+[translations.items.max_sentence_num]
+name = "最大句子数"
+description = "回复允许的最大句子数"
+
+[translations.items.enable_kaomoji_protection]
+name = "启用颜文字保护"
+description = "是否启用颜文字保护"
+
+[translations.items.model_max_output_length]
+name = "最大输出长度"
+description = "模型单次返回的最大token数"
+
+[translations.items.auth_token]
+name = "认证令牌"
+description = "用于API验证的令牌列表，为空则不启用验证"
+
+[translations.items.use_custom]
+name = "使用自定义"
+description = "是否启用自定义的maim_message服务器，注意这需要设置新的端口，不能与.env重复"
+
+[translations.items.host]
+name = "主机地址"
+description = "服务器主机地址"
+
+[translations.items.port]
+name = "端口"
+description = "服务器端口"
+
+[translations.items.mode]
+name = "模式"
+description = "连接模式：ws或tcp"
+
+[translations.items.use_wss]
+name = "使用WSS"
+description = "是否使用WSS安全连接，只支持ws模式"
+
+[translations.items.cert_file]
+name = "证书文件"
+description = "SSL证书文件路径，仅在use_wss=true时有效"
+
+[translations.items.key_file]
+name = "密钥文件"
+description = "SSL密钥文件路径，仅在use_wss=true时有效"
+
+[translations.items.telemetry_enable]
+name = "启用遥测"
+description = "是否发送统计信息，主要是看全球有多少只麦麦"
+
+[translations.items.debug_show_chat_mode]
+name = "显示聊天模式"
+description = "是否在回复后显示当前聊天模式"
+
+[translations.items.enable_friend_chat]
+name = "启用好友聊天"
+description = "是否启用好友聊天功能"
+
+[translations.items.pfc_chatting]
+name = "PFC聊天"
+description = "暂时无效"
+
+[translations.items."response_splitter.enable"]
+name = "启用分割器"
+description = "是否启用回复分割器"
+
+[translations.items."chinese_typo.enable"]
+name = "启用错别字"
+description = "是否启用中文错别字生成器"
+
+[translations.items."keyword_reaction.enable"]
+name = "启用关键词反应"
+description = "关键词反应功能的总开关，仅在普通聊天模式下有效"

scripts/mongodb_to_sqlite.py

@@ -199,7 +199,7 @@ class MongoToSQLiteMigrator:
                     "timestamp": "timestamp",
                 },
                 enable_validation=True,  # 禁用数据验证"
-                unique_fields=["user_id", "prompt_tokens","completion_tokens","total_tokens","cost"],  # 组合唯一性
+                unique_fields=["user_id", "prompt_tokens", "completion_tokens", "total_tokens", "cost"],  # 组合唯一性
             ),
             # 消息迁移配置
             MigrationConfig(

src/chat/focus_chat/expressors/default_expressor.py

@@ -79,7 +79,7 @@ class DefaultExpressor:
             model=global_config.model.focus_expressor,
             # temperature=global_config.model.focus_expressor["temp"],
             max_tokens=256,
-            request_type="focus_expressor",
+            request_type="focus.expressor",
         )
         self.heart_fc_sender = HeartFCSender()
 

src/chat/focus_chat/expressors/exprssion_learner.py

@@ -64,7 +64,7 @@ class ExpressionLearner:
             model=global_config.model.focus_expressor,
             temperature=0.1,
             max_tokens=256,
-            request_type="learn_expression",
+            request_type="expressor.learner",
         )
 
     async def get_expression_by_chat_id(self, chat_id: str) -> Tuple[List[Dict[str, str]], List[Dict[str, str]]]:

src/chat/focus_chat/heartFC_chat.py

@@ -16,16 +16,19 @@ from src.chat.focus_chat.info.info_base import InfoBase
 from src.chat.focus_chat.info_processors.chattinginfo_processor import ChattingInfoProcessor
 from src.chat.focus_chat.info_processors.mind_processor import MindProcessor
 from src.chat.focus_chat.info_processors.working_memory_processor import WorkingMemoryProcessor
-from src.chat.focus_chat.info_processors.action_processor import ActionProcessor
+
+# from src.chat.focus_chat.info_processors.action_processor import ActionProcessor
 from src.chat.heart_flow.observation.hfcloop_observation import HFCloopObservation
 from src.chat.heart_flow.observation.working_observation import WorkingMemoryObservation
 from src.chat.heart_flow.observation.structure_observation import StructureObservation
+from src.chat.heart_flow.observation.actions_observation import ActionObservation
 from src.chat.focus_chat.info_processors.tool_processor import ToolProcessor
 from src.chat.focus_chat.expressors.default_expressor import DefaultExpressor
 from src.chat.focus_chat.memory_activator import MemoryActivator
 from src.chat.focus_chat.info_processors.base_processor import BaseProcessor
 from src.chat.focus_chat.info_processors.self_processor import SelfProcessor
 from src.chat.focus_chat.planners.planner import ActionPlanner
+from src.chat.focus_chat.planners.modify_actions import ActionModifier
 from src.chat.focus_chat.planners.action_manager import ActionManager
 from src.chat.focus_chat.working_memory.working_memory import WorkingMemory
 from src.config.config import global_config
@@ -41,7 +44,7 @@ PROCESSOR_CLASSES = {
     "ToolProcessor": (ToolProcessor, "tool_use_processor"),
     "WorkingMemoryProcessor": (WorkingMemoryProcessor, "working_memory_processor"),
     "SelfProcessor": (SelfProcessor, "self_identify_processor"),
-    "ActionProcessor": (ActionProcessor, "action_processor"),  # 这个处理器不需要配置键名，默认启用
+    # "ActionProcessor": (ActionProcessor, "action_processor"),  # 这个处理器不需要配置键名，默认启用
 }
 
 
@@ -129,8 +132,10 @@ class HeartFChatting:
         self.expressor = DefaultExpressor(chat_id=self.stream_id)
         self.action_manager = ActionManager()
         self.action_planner = ActionPlanner(log_prefix=self.log_prefix, action_manager=self.action_manager)
+        self.action_modifier = ActionModifier(action_manager=self.action_manager)
+        self.action_observation = ActionObservation(observe_id=self.stream_id)
 
-        self.hfcloop_observation.set_action_manager(self.action_manager)
+        self.action_observation.set_action_manager(self.action_manager)
 
         self.all_observations = observations
 
@@ -335,7 +340,9 @@ class HeartFChatting:
                 for pname, ptime in processor_time_costs.items():
                     formatted_ptime = f"{ptime * 1000:.2f}毫秒" if ptime < 1 else f"{ptime:.2f}秒"
                     processor_time_strings.append(f"{pname}: {formatted_ptime}")
-                processor_time_log = ("\n各处理器耗时: " + "; ".join(processor_time_strings)) if processor_time_strings else ""
+                processor_time_log = (
+                    ("\n各处理器耗时: " + "; ".join(processor_time_strings)) if processor_time_strings else ""
+                )
 
                 logger.info(
                     f"{self.log_prefix} 第{self._current_cycle.cycle_id}次思考,"
@@ -470,8 +477,16 @@ class HeartFChatting:
             with Timer("回忆", cycle_timers):
                 running_memorys = await self.memory_activator.activate_memory(observations)
 
+            with Timer("调整动作", cycle_timers):
+                # 处理特殊的观察
+                await self.action_modifier.modify_actions(observations=observations, running_memorys=running_memorys)
+                await self.action_observation.observe()
+                observations.append(self.action_observation)
+
             with Timer("执行 信息处理器", cycle_timers):
-                all_plan_info, processor_time_costs = await self._process_processors(observations, running_memorys, cycle_timers)
+                all_plan_info, processor_time_costs = await self._process_processors(
+                    observations, running_memorys, cycle_timers
+                )
 
                 loop_processor_info = {
                     "all_plan_info": all_plan_info,

src/chat/focus_chat/info_processors/chattinginfo_processor.py

@@ -11,6 +11,7 @@ from datetime import datetime
 from typing import Dict
 from src.llm_models.utils_model import LLMRequest
 from src.config.config import global_config
+import asyncio
 
 logger = get_logger("processor")
 
@@ -28,7 +29,10 @@ class ChattingInfoProcessor(BaseProcessor):
         super().__init__()
         # TODO: API-Adapter修改标记
         self.model_summary = LLMRequest(
-            model=global_config.model.utils_small, temperature=0.7, max_tokens=300, request_type="chat_observation"
+            model=global_config.model.utils_small,
+            temperature=0.7,
+            max_tokens=300,
+            request_type="focus.observation.chat",
         )
 
     async def process_info(
@@ -59,7 +63,8 @@ class ChattingInfoProcessor(BaseProcessor):
 
                     obs_info = ObsInfo()
 
-                    await self.chat_compress(obs)
+                    # 改为异步任务，不阻塞主流程
+                    asyncio.create_task(self.chat_compress(obs))
 
                     # 设置说话消息
                     if hasattr(obs, "talking_message_str"):
@@ -95,15 +100,20 @@ class ChattingInfoProcessor(BaseProcessor):
         return processed_infos
 
     async def chat_compress(self, obs: ChattingObservation):
+        log_msg = ""
         if obs.compressor_prompt:
             summary = ""
             try:
                 summary_result, _, _ = await self.model_summary.generate_response(obs.compressor_prompt)
-                summary = "没有主题的闲聊"  # 默认值
+                summary = "没有主题的闲聊"
-                if summary_result:  # 确保结果不为空
+                if summary_result:
                     summary = summary_result
             except Exception as e:
-                logger.error(f"总结主题失败 for chat {obs.chat_id}: {e}")
+                log_msg = f"总结主题失败 for chat {obs.chat_id}: {e}"
+                logger.error(log_msg)
+            else:
+                log_msg = f"chat_compress 完成 for chat {obs.chat_id}, summary: {summary}"
+                logger.info(log_msg)
 
             mid_memory = {
                 "id": str(int(datetime.now().timestamp())),
@@ -130,3 +140,5 @@ class ChattingInfoProcessor(BaseProcessor):
             obs.compressor_prompt = ""
             obs.oldest_messages = []
             obs.oldest_messages_str = ""
+
+        return log_msg

src/chat/focus_chat/info_processors/mind_processor.py

@@ -14,6 +14,7 @@ from .base_processor import BaseProcessor
 from src.chat.focus_chat.info.mind_info import MindInfo
 from typing import List, Optional
 from src.chat.heart_flow.observation.hfcloop_observation import HFCloopObservation
+from src.chat.heart_flow.observation.actions_observation import ActionObservation
 from typing import Dict
 from src.chat.focus_chat.info.info_base import InfoBase
 
@@ -30,6 +31,8 @@ def init_prompt():
 现在是{time_now}，你正在上网，和qq群里的网友们聊天，以下是正在进行的聊天内容：
 {chat_observe_info}
 
+{action_observe_info}
+
 以下是你之前对聊天的观察和规划，你的名字是{bot_name}：
 {last_mind}
 
@@ -50,6 +53,8 @@ def init_prompt():
 现在是{time_now}，你正在上网，和qq群里的网友们聊天，以下是正在进行的聊天内容：
 {chat_observe_info}
 
+{action_observe_info}
+
 以下是你之前对聊天的观察和规划，你的名字是{bot_name}：
 {last_mind}
 
@@ -74,7 +79,7 @@ class MindProcessor(BaseProcessor):
             model=global_config.model.focus_chat_mind,
             temperature=global_config.model.focus_chat_mind["temp"],
             max_tokens=800,
-            request_type="focus_chat_mind",
+            request_type="focus.processor.chat_mind",
         )
 
         self.current_mind = ""
@@ -191,6 +196,8 @@ class MindProcessor(BaseProcessor):
                 person_list = observation.person_list
             if isinstance(observation, HFCloopObservation):
                 hfcloop_observe_info = observation.get_observe_info()
+            if isinstance(observation, ActionObservation):
+                action_observe_info = observation.get_observe_info()
 
         # ---------- 3. 准备个性化数据 ----------
         # 获取个性化信息
@@ -211,6 +218,7 @@ class MindProcessor(BaseProcessor):
             chat_observe_info=chat_observe_info,
             last_mind=previous_mind,
             cycle_info_block=hfcloop_observe_info,
+            action_observe_info=action_observe_info,
             chat_target_name=chat_target_name,
         )
 

src/chat/focus_chat/info_processors/self_processor.py

@@ -58,7 +58,7 @@ class SelfProcessor(BaseProcessor):
             model=global_config.model.focus_self_recognize,
             temperature=global_config.model.focus_self_recognize["temp"],
             max_tokens=800,
-            request_type="focus_self_identify",
+            request_type="focus.processor.self_identify",
         )
 
         name = chat_manager.get_stream_name(self.subheartflow_id)

src/chat/focus_chat/info_processors/tool_processor.py

@@ -50,7 +50,7 @@ class ToolProcessor(BaseProcessor):
         self.llm_model = LLMRequest(
             model=global_config.model.focus_tool_use,
             max_tokens=500,
-            request_type="focus_tool",
+            request_type="focus.processor.tool",
         )
         self.structured_info = []
 

src/chat/focus_chat/info_processors/working_memory_processor.py

@@ -64,7 +64,7 @@ class WorkingMemoryProcessor(BaseProcessor):
             model=global_config.model.focus_chat_mind,
             temperature=global_config.model.focus_chat_mind["temp"],
             max_tokens=800,
-            request_type="focus_working_memory",
+            request_type="focus.processor.working_memory",
         )
 
         name = chat_manager.get_stream_name(self.subheartflow_id)

src/chat/focus_chat/memory_activator.py

@@ -70,7 +70,10 @@ class MemoryActivator:
     def __init__(self):
         # TODO: API-Adapter修改标记
         self.summary_model = LLMRequest(
-            model=global_config.model.memory_summary, temperature=0.7, max_tokens=50, request_type="chat_observation"
+            model=global_config.model.memory_summary,
+            temperature=0.7,
+            max_tokens=50,
+            request_type="focus.memory_activator",
         )
         self.running_memory = []
         self.cached_keywords = set()  # 用于缓存历史关键词

src/chat/focus_chat/planners/modify_actions.py

@@ -1,8 +1,5 @@
 from typing import List, Optional, Any
 from src.chat.heart_flow.observation.observation import Observation
-from src.chat.focus_chat.info.info_base import InfoBase
-from src.chat.focus_chat.info.action_info import ActionInfo
-from .base_processor import BaseProcessor
 from src.common.logger_manager import get_logger
 from src.chat.heart_flow.observation.hfcloop_observation import HFCloopObservation
 from src.chat.heart_flow.observation.chatting_observation import ChattingObservation
@@ -10,11 +7,12 @@ from src.chat.message_receive.chat_stream import chat_manager
 from typing import Dict
 from src.config.config import global_config
 import random
+from src.chat.focus_chat.planners.action_manager import ActionManager
 
-logger = get_logger("processor")
+logger = get_logger("action_manager")
 
 
-class ActionProcessor(BaseProcessor):
+class ActionModifier:
     """动作处理器
 
     用于处理Observation对象，将其转换为ObsInfo对象。
@@ -22,33 +20,24 @@ class ActionProcessor(BaseProcessor):
 
     log_prefix = "动作处理"
 
-    def __init__(self):
+    def __init__(self, action_manager: ActionManager):
         """初始化观察处理器"""
-        super().__init__()
+        self.action_manager = action_manager
+        self.all_actions = self.action_manager.get_registered_actions()
 
-    async def process_info(
+    async def modify_actions(
         self,
         observations: Optional[List[Observation]] = None,
         running_memorys: Optional[List[Dict]] = None,
         **kwargs: Any,
-    ) -> List[InfoBase]:
+    ):
-        """处理Observation对象
-
-        Args:
-            infos: InfoBase对象列表
-            observations: 可选的Observation对象列表
-            **kwargs: 其他可选参数
-
-        Returns:
-            List[InfoBase]: 处理后的ObsInfo实例列表
-        """
         # print(f"observations: {observations}")
-        processed_infos = []
+        # processed_infos = []
 
         # 处理Observation对象
         if observations:
-            action_info = ActionInfo()
+            # action_info = ActionInfo()
-            all_actions = None
+            # all_actions = None
             hfc_obs = None
             chat_obs = None
 
@@ -66,7 +55,7 @@ class ActionProcessor(BaseProcessor):
             # 处理HFCloopObservation
             if hfc_obs:
                 obs = hfc_obs
-                all_actions = obs.all_actions
+                all_actions = self.all_actions
                 action_changes = await self.analyze_loop_actions(obs)
                 if action_changes["add"] or action_changes["remove"]:
                     # 合并动作变更
@@ -74,13 +63,13 @@ class ActionProcessor(BaseProcessor):
                     merged_action_changes["remove"].extend(action_changes["remove"])
 
                     # 收集变更原因
-                    if action_changes["add"]:
+                    # if action_changes["add"]:
-                        reasons.append(f"添加动作{action_changes['add']}因为检测到大量无回复")
+                    #     reasons.append(f"添加动作{action_changes['add']}因为检测到大量无回复")
-                    if action_changes["remove"]:
+                    # if action_changes["remove"]:
-                        reasons.append(f"移除动作{action_changes['remove']}因为检测到连续回复")
+                    #     reasons.append(f"移除动作{action_changes['remove']}因为检测到连续回复")
 
             # 处理ChattingObservation
-            if chat_obs and all_actions is not None:
+            if chat_obs:
                 obs = chat_obs
                 # 检查动作的关联类型
                 chat_context = chat_manager.get_stream(obs.chat_id).context
@@ -98,14 +87,23 @@ class ActionProcessor(BaseProcessor):
                     merged_action_changes["remove"].extend(type_mismatched_actions)
                     reasons.append(f"移除动作{type_mismatched_actions}因为关联类型不匹配")
 
+            for action_name in merged_action_changes["add"]:
+                if action_name in self.action_manager.get_registered_actions():
+                    self.action_manager.add_action_to_using(action_name)
+                    logger.debug(f"{self.log_prefix} 添加动作: {action_name}, 原因: {reasons}")
+
+            for action_name in merged_action_changes["remove"]:
+                self.action_manager.remove_action_from_using(action_name)
+                logger.debug(f"{self.log_prefix} 移除动作: {action_name}, 原因: {reasons}")
+
             # 如果有任何动作变更，设置到action_info中
-            if merged_action_changes["add"] or merged_action_changes["remove"]:
+            # if merged_action_changes["add"] or merged_action_changes["remove"]:
-                action_info.set_action_changes(merged_action_changes)
+            #     action_info.set_action_changes(merged_action_changes)
-                action_info.set_reason(" | ".join(reasons))
+            #     action_info.set_reason(" | ".join(reasons))
 
-            processed_infos.append(action_info)
+            # processed_infos.append(action_info)
 
-        return processed_infos
+        # return processed_infos
 
     async def analyze_loop_actions(self, obs: HFCloopObservation) -> Dict[str, List[str]]:
         """分析最近的循环内容并决定动作的增减

src/chat/focus_chat/planners/planner.py

@@ -79,7 +79,7 @@ class ActionPlanner:
         self.planner_llm = LLMRequest(
             model=global_config.model.focus_planner,
             max_tokens=1000,
-            request_type="focus_planner",  # 用于动作规划
+            request_type="focus.planner",  # 用于动作规划
         )
 
         self.action_manager = action_manager
@@ -101,35 +101,24 @@ class ActionPlanner:
             # 获取观察信息
             extra_info: list[str] = []
 
-            # 首先处理动作变更
+            # 设置默认值
-            for info in all_plan_info:
+            nickname_str = ""
-                if isinstance(info, ActionInfo) and info.has_changes():
+            for nicknames in global_config.bot.alias_names:
-                    add_actions = info.get_add_actions()
+                nickname_str += f"{nicknames},"
-                    remove_actions = info.get_remove_actions()
+            name_block = f"你的名字是{global_config.bot.nickname},你的昵称有{nickname_str}，有人也会用这些昵称称呼你。"
-                    reason = info.get_reason()
-                    print(f"{self.log_prefix} 动作变更: {add_actions} {remove_actions} {reason}")
 
-                    # 处理动作的增加
+            personality_block = individuality.get_personality_prompt(x_person=2, level=2)
-                    for action_name in add_actions:
+            identity_block = individuality.get_identity_prompt(x_person=2, level=2)
-                        if action_name in self.action_manager.get_registered_actions():
-                            self.action_manager.add_action_to_using(action_name)
-                            logger.debug(f"{self.log_prefix}添加动作: {action_name}, 原因: {reason}")
 
-                    # 处理动作的移除
+            self_info = name_block + personality_block + identity_block
-                    for action_name in remove_actions:
+            current_mind = "你思考了很久，没有想清晰要做什么"
-                        self.action_manager.remove_action_from_using(action_name)
-                        logger.debug(f"{self.log_prefix}移除动作: {action_name}, 原因: {reason}")
 
-                    # 如果当前选择的动作被移除了，更新为no_reply
-                    if action in remove_actions:
-                        action = "no_reply"
-                        reasoning = f"之前选择的动作{action}已被移除，原因: {reason}"
-
-            # 继续处理其他信息
-            self_info = ""
-            current_mind = ""
             cycle_info = ""
             structured_info = ""
+            extra_info = []
+            observed_messages = []
+            observed_messages_str = ""
+            chat_type = "group"
             is_group_chat = True
             for info in all_plan_info:
                 if isinstance(info, ObsInfo):
@@ -146,8 +135,8 @@ class ActionPlanner:
                 elif isinstance(info, StructuredInfo):
                     structured_info = info.get_processed_info()
                     # print(f"structured_info: {structured_info}")
-                elif not isinstance(info, ActionInfo):  # 跳过已处理的ActionInfo
+                # elif not isinstance(info, ActionInfo):  # 跳过已处理的ActionInfo
-                    extra_info.append(info.get_processed_info())
+                # extra_info.append(info.get_processed_info())
 
             # 获取当前可用的动作
             current_available_actions = self.action_manager.get_using_actions()

src/chat/focus_chat/working_memory/memory_manager.py

@@ -36,7 +36,7 @@ class MemoryManager:
             model=global_config.model.focus_working_memory,
             temperature=0.3,
             max_tokens=512,
-            request_type="memory_summarization",
+            request_type="focus.processor.working_memory",
         )
 
     @property

src/chat/heart_flow/observation/actions_observation.py

@@ -0,0 +1,36 @@
+# 定义了来自外部世界的信息
+# 外部世界可以是某个聊天 不同平台的聊天 也可以是任意媒体
+from datetime import datetime
+from src.common.logger_manager import get_logger
+from src.chat.focus_chat.planners.action_manager import ActionManager
+
+logger = get_logger("observation")
+
+
+# 特殊的观察，专门用于观察动作
+# 所有观察的基类
+class ActionObservation:
+    def __init__(self, observe_id):
+        self.observe_info = ""
+        self.observe_id = observe_id
+        self.last_observe_time = datetime.now().timestamp()  # 初始化为当前时间
+        self.action_manager: ActionManager = None
+
+        self.all_actions = {}
+        self.all_using_actions = {}
+
+    def get_observe_info(self):
+        return self.observe_info
+
+    def set_action_manager(self, action_manager: ActionManager):
+        self.action_manager = action_manager
+        self.all_actions = self.action_manager.get_registered_actions()
+
+    async def observe(self):
+        action_info_block = ""
+        self.all_using_actions = self.action_manager.get_using_actions()
+        for action_name, action_info in self.all_using_actions.items():
+            action_info_block += f"\n{action_name}: {action_info.get('description', '')}"
+        action_info_block += "\n注意，除了上面动作选项之外，你在群聊里不能做其他任何事情，这是你能力的边界\n"
+
+        self.observe_info = action_info_block

src/chat/heart_flow/observation/hfcloop_observation.py

@@ -3,7 +3,6 @@
 from datetime import datetime
 from src.common.logger_manager import get_logger
 from src.chat.focus_chat.heartFC_Cycleinfo import CycleDetail
-from src.chat.focus_chat.planners.action_manager import ActionManager
 from typing import List
 # Import the new utility function
 
@@ -17,9 +16,6 @@ class HFCloopObservation:
         self.observe_id = observe_id
         self.last_observe_time = datetime.now().timestamp()  # 初始化为当前时间
         self.history_loop: List[CycleDetail] = []
-        self.action_manager: ActionManager = None
-
-        self.all_actions = {}
 
     def get_observe_info(self):
         return self.observe_info
@@ -27,10 +23,6 @@ class HFCloopObservation:
     def add_loop_info(self, loop_info: CycleDetail):
         self.history_loop.append(loop_info)
 
-    def set_action_manager(self, action_manager: ActionManager):
-        self.action_manager = action_manager
-        self.all_actions = self.action_manager.get_registered_actions()
-
     async def observe(self):
         recent_active_cycles: List[CycleDetail] = []
         for cycle in reversed(self.history_loop):

src/chat/normal_chat/normal_chat_generator.py

@@ -21,13 +21,13 @@ class NormalChatGenerator:
             model=global_config.model.normal_chat_1,
             # temperature=0.7,
             max_tokens=3000,
-            request_type="normal_chat_1",
+            request_type="normal.chat_1",
         )
         self.model_normal = LLMRequest(
             model=global_config.model.normal_chat_2,
             # temperature=global_config.model.normal_chat_2["temp"],
             max_tokens=256,
-            request_type="normal_chat_2",
+            request_type="normal.chat_2",
         )
 
         self.model_sum = LLMRequest(

src/chat/normal_chat/normal_prompt.py

@@ -34,6 +34,7 @@ def init_prompt():
 {relation_prompt}
 {prompt_info}
 {chat_target}
+现在时间是：{now_time}
 {chat_talking_prompt}
 现在"{sender_name}"说的:{message_txt}。引起了你的注意，你想要在群里发言或者回复这条消息。\n
 你的网名叫{bot_name}，有人也叫你{bot_other_names}，{prompt_personality}。
@@ -221,6 +222,8 @@ class PromptBuilder:
 
         logger.debug("开始构建 normal prompt")
 
+        now_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
+
         # --- Choose template and format based on chat type ---
         if is_group_chat:
             template_name = "reasoning_prompt_main"
@@ -249,6 +252,7 @@ class PromptBuilder:
                 prompt_ger=prompt_ger,
                 # moderation_prompt=await global_prompt_manager.get_prompt_async("moderation_prompt"),
                 moderation_prompt=moderation_prompt_block,
+                now_time=now_time,
             )
         else:
             template_name = "reasoning_prompt_private_main"
@@ -273,6 +277,7 @@ class PromptBuilder:
                 prompt_ger=prompt_ger,
                 # moderation_prompt=await global_prompt_manager.get_prompt_async("moderation_prompt"),
                 moderation_prompt=moderation_prompt_block,
+                now_time=now_time,
             )
         # --- End choosing template ---
 

src/chat/utils/chat_message_builder.py

@@ -457,7 +457,7 @@ async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str:
             return "SELF"
         try:
             person_id = person_info_manager.get_person_id(platform, user_id)
-        except Exception as e:
+        except Exception as _e:
             person_id = None
         if not person_id:
             return "?"
@@ -472,7 +472,7 @@ async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str:
             # user_info = msg.get("user_info", {})
             platform = msg.get("chat_info_platform")
             user_id = msg.get("user_id")
-            timestamp = msg.get("time")
+            _timestamp = msg.get("time")
             # print(f"msg:{msg}")
             # print(f"platform:{platform}")
             # print(f"user_id:{user_id}")
@@ -488,7 +488,7 @@ async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str:
                 content = content.replace("ⁿ", "")
 
             # if not all([platform, user_id, timestamp is not None]):
-                # continue
+            # continue
 
             anon_name = get_anon_name(platform, user_id)
             # print(f"anon_name:{anon_name}")
@@ -514,7 +514,7 @@ async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str:
                 new_content = ""
                 last_end = 0
                 for m in at_matches:
-                    new_content += content[last_end:m.start()]
+                    new_content += content[last_end : m.start()]
                     bbb = m.group(2)
                     try:
                         anon_at = get_anon_name(platform, bbb)

src/chat/utils/utils.py

@@ -62,11 +62,22 @@ def is_mentioned_bot_in_message(message: MessageRecv) -> tuple[bool, float]:
                 f"消息中包含不合理的设置 is_mentioned: {message.message_info.additional_config.get('is_mentioned')}"
             )
 
+    if global_config.bot.nickname in message.processed_plain_text:
+        is_mentioned = True
+
+    for alias_name in global_config.bot.alias_names:
+        if alias_name in message.processed_plain_text:
+            is_mentioned = True
+
     # 判断是否被@
     if re.search(rf"@<(.+?):{global_config.bot.qq_account}>", message.processed_plain_text):
         is_at = True
         is_mentioned = True
 
+    # print(f"message.processed_plain_text: {message.processed_plain_text}")
+    # print(f"is_mentioned: {is_mentioned}")
+    # print(f"is_at: {is_at}")
+
     if is_at and global_config.normal_chat.at_bot_inevitable_reply:
         reply_probability = 1.0
         logger.info("被@，回复概率设置为100%")

src/experimental/only_message_process.py

@@ -2,7 +2,11 @@ from src.common.logger_manager import get_logger
 from src.chat.message_receive.message import MessageRecv
 from src.chat.message_receive.storage import MessageStorage
 from src.config.config import global_config
+from src.chat.message_receive.chat_stream import ChatStream
+
+from maim_message import UserInfo
 from datetime import datetime
+import re
 
 logger = get_logger("pfc")
 
@@ -14,7 +18,7 @@ class MessageProcessor:
         self.storage = MessageStorage()
 
     @staticmethod
-    def _check_ban_words(text: str, chat, userinfo) -> bool:
+    def _check_ban_words(text: str, chat: ChatStream, userinfo: UserInfo) -> bool:
         """检查消息中是否包含过滤词"""
         for word in global_config.message_receive.ban_words:
             if word in text:
@@ -26,13 +30,12 @@ class MessageProcessor:
         return False
 
     @staticmethod
-    def _check_ban_regex(text: str, chat, userinfo) -> bool:
+    def _check_ban_regex(text: str, chat: ChatStream, userinfo: UserInfo) -> bool:
         """检查消息是否匹配过滤正则表达式"""
-        for pattern in global_config.chat.ban_msgs_regex:
+        for pattern in global_config.message_receive.ban_msgs_regex:
-            if pattern.search(text):
+            if re.search(pattern, text):
-                logger.info(
+                chat_name = chat.group_info.group_name if chat.group_info else "私聊"
-                    f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
+                logger.info(f"[{chat_name}]{userinfo.user_nickname}:{text}")
-                )
                 logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered")
                 return True
         return False

src/individuality/expression_style.py

@@ -36,7 +36,7 @@ class PersonalityExpression:
             model=global_config.model.focus_expressor,
             temperature=0.1,
             max_tokens=256,
-            request_type="learn_expression",
+            request_type="expressor.learner",
         )
         self.meta_file_path = os.path.join("data", "expression", "personality", "expression_style_meta.json")
         self.expressions_file_path = os.path.join("data", "expression", "personality", "expressions.json")

src/person_info/person_info.py

@@ -60,7 +60,7 @@ class PersonInfoManager:
         self.qv_name_llm = LLMRequest(
             model=global_config.model.utils,
             max_tokens=256,
-            request_type="qv_name",
+            request_type="relation.qv_name",
         )
         try:
             db.connect(reuse_if_open=True)

src/plugins/test_plugin_pic/actions/pic_action.py

@@ -22,12 +22,15 @@ class PicAction(PluginAction):
     """根据描述使用火山引擎HTTP API生成图片的动作处理类"""
 
     action_name = "pic_action"
-    action_description = "可以根据特定的描述，生成并发送一张图片，如果没提供描述，就根据聊天内容生成"
+    action_description = (
+        "可以根据特定的描述，生成并发送一张图片，如果没提供描述，就根据聊天内容生成,你可以立刻画好，不用等待"
+    )
     action_parameters = {
         "description": "图片描述，输入你想要生成并发送的图片的描述，必填",
         "size": "图片尺寸，例如 '1024x1024' (可选, 默认从配置或 '1024x1024')",
     }
     action_require = [
+        "当有人让你画东西时使用，你可以立刻画好，不用等待",
         "当有人要求你生成并发送一张图片时使用",
         "当有人让你画一张图时使用",
     ]
@@ -45,6 +48,8 @@ class PicAction(PluginAction):
     ):
         super().__init__(action_data, reasoning, cycle_timers, thinking_id, global_config, **kwargs)
 
+        logger.info(f"{self.log_prefix} 开始绘图！原因是：{self.reasoning}")
+
         http_base_url = self.config.get("base_url")
         http_api_key = self.config.get("volcano_generate_api_key")
 

src/tools/tool_can_use/lpmm_get_knowledge.py

@@ -1,5 +1,4 @@
 from src.tools.tool_can_use.base_tool import BaseTool
-from src.chat.utils.utils import get_embedding
 
 # from src.common.database import db
 from src.common.logger_manager import get_logger
@@ -38,125 +37,19 @@ class SearchKnowledgeFromLPMMTool(BaseTool):
             # threshold = function_args.get("threshold", 0.4)
 
             # 调用知识库搜索
-            embedding = await get_embedding(query, request_type="info_retrieval")
+
-            if embedding:
+            knowledge_info = qa_manager.get_knowledge(query)
-                knowledge_info = qa_manager.get_knowledge(query)
+
-                logger.debug(f"知识库查询结果: {knowledge_info}")
+            logger.debug(f"知识库查询结果: {knowledge_info}")
-                if knowledge_info:
+
-                    content = f"你知道这些知识: {knowledge_info}"
+            if knowledge_info:
-                else:
+                content = f"你知道这些知识: {knowledge_info}"
-                    content = f"你不太了解有关{query}的知识"
+            else:
-                return {"type": "lpmm_knowledge", "id": query, "content": content}
+                content = f"你不太了解有关{query}的知识"
-            # 如果获取嵌入失败
+            return {"type": "lpmm_knowledge", "id": query, "content": content}
-            return {"type": "info", "id": query, "content": f"无法获取关于'{query}'的嵌入向量，你lpmm知识库炸了"}
         except Exception as e:
+            # 捕获异常并记录错误
             logger.error(f"知识库搜索工具执行失败: {str(e)}")
             # 在其他异常情况下，确保 id 仍然是 query (如果它被定义了)
             query_id = query if "query" in locals() else "unknown_query"
             return {"type": "info", "id": query_id, "content": f"lpmm知识库搜索失败，炸了: {str(e)}"}
-
-    # def get_info_from_db(
-    #     self, query_embedding: list, limit: int = 1, threshold: float = 0.5, return_raw: bool = False
-    # ) -> Union[str, list]:
-    #     """从数据库中获取相关信息
-
-    #     Args:
-    #         query_embedding: 查询的嵌入向量
-    #         limit: 最大返回结果数
-    #         threshold: 相似度阈值
-    #         return_raw: 是否返回原始结果
-
-    #     Returns:
-    #         Union[str, list]: 格式化的信息字符串或原始结果列表
-    #     """
-    #     if not query_embedding:
-    #         return "" if not return_raw else []
-
-    #     # 使用余弦相似度计算
-    #     pipeline = [
-    #         {
-    #             "$addFields": {
-    #                 "dotProduct": {
-    #                     "$reduce": {
-    #                         "input": {"$range": [0, {"$size": "$embedding"}]},
-    #                         "initialValue": 0,
-    #                         "in": {
-    #                             "$add": [
-    #                                 "$$value",
-    #                                 {
-    #                                     "$multiply": [
-    #                                         {"$arrayElemAt": ["$embedding", "$$this"]},
-    #                                         {"$arrayElemAt": [query_embedding, "$$this"]},
-    #                                     ]
-    #                                 },
-    #                             ]
-    #                         },
-    #                     }
-    #                 },
-    #                 "magnitude1": {
-    #                     "$sqrt": {
-    #                         "$reduce": {
-    #                             "input": "$embedding",
-    #                             "initialValue": 0,
-    #                             "in": {"$add": ["$$value", {"$multiply": ["$$this", "$$this"]}]},
-    #                         }
-    #                     }
-    #                 },
-    #                 "magnitude2": {
-    #                     "$sqrt": {
-    #                         "$reduce": {
-    #                             "input": query_embedding,
-    #                             "initialValue": 0,
-    #                             "in": {"$add": ["$$value", {"$multiply": ["$$this", "$$this"]}]},
-    #                         }
-    #                     }
-    #                 },
-    #             }
-    #         },
-    #         {"$addFields": {"similarity": {"$divide": ["$dotProduct", {"$multiply": ["$magnitude1", "$magnitude2"]}]}}},
-    #         {
-    #             "$match": {
-    #                 "similarity": {"$gte": threshold}  # 只保留相似度大于等于阈值的结果
-    #             }
-    #         },
-    #         {"$sort": {"similarity": -1}},
-    #         {"$limit": limit},
-    #         {"$project": {"content": 1, "similarity": 1}},
-    #     ]
-
-    #     results = list(db.knowledges.aggregate(pipeline))
-    #     logger.debug(f"知识库查询结果数量: {len(results)}")
-
-    #     if not results:
-    #         return "" if not return_raw else []
-
-    #     if return_raw:
-    #         return results
-    #     else:
-    #         # 返回所有找到的内容，用换行分隔
-    #         return "\n".join(str(result["content"]) for result in results)
-
-    def _format_results(self, results: list) -> str:
-        """格式化结果"""
-        if not results:
-            return "未找到相关知识。"
-
-        formatted_string = "我找到了一些相关知识：\n"
-        for i, result in enumerate(results):
-            # chunk_id = result.get("chunk_id")
-            text = result.get("text", "")
-            source = result.get("source", "未知来源")
-            source_type = result.get("source_type", "未知类型")
-            similarity = result.get("similarity", 0.0)
-
-            formatted_string += (
-                f"{i + 1}. (相似度: {similarity:.2f}) 类型: {source_type}, 来源: {source} \n内容片段: {text}\n\n"
-            )
-            # 暂时去掉chunk_id
-            # formatted_string += f"{i + 1}. (相似度: {similarity:.2f}) 类型: {source_type}, 来源: {source}, Chunk ID: {chunk_id} \n内容片段: {text}\n\n"
-
-        return formatted_string
-
-
-# 注册工具
-# register_tool(SearchKnowledgeTool)

template/bot_config_template.toml

@@ -13,9 +13,9 @@ version = "2.6.0"
 #----以上是给开发人员阅读的，如果你只是部署了麦麦，不需要阅读----
 
 [bot]
-qq_account = 1145141919810
+qq_account = 1145141919810 # 麦麦的QQ账号
-nickname = "麦麦"
+nickname = "麦麦" # 麦麦的昵称
-alias_names = ["麦叠", "牢麦"]
+alias_names = ["麦叠", "牢麦"] # 麦麦的别名
 
 [personality]
 personality_core = "是一个积极向上的女大学生" # 建议50字以内
@@ -84,8 +84,8 @@ response_willing_amplifier = 1 # 麦麦回复意愿放大系数，一般为1
 response_interested_rate_amplifier = 1 # 麦麦回复兴趣度放大系数,听到记忆里的内容时放大系数
 
 emoji_response_penalty = 0 # 表情包回复惩罚系数，设为0为不回复单个表情包，减少单独回复表情包的概率
-mentioned_bot_inevitable_reply = false # 提及 bot 必然回复
+mentioned_bot_inevitable_reply = true # 提及 bot 必然回复
-at_bot_inevitable_reply = false # @bot 必然回复
+at_bot_inevitable_reply = true # @bot 必然回复
 
 down_frequency_rate = 3 # 降低回复频率的群组回复意愿降低系数 除法
 talk_frequency_down_groups = []  #降低回复频率的群号码
@@ -93,14 +93,14 @@ talk_frequency_down_groups = []  #降低回复频率的群号码
 [focus_chat] #专注聊天
 think_interval = 3 # 思考间隔 单位秒，可以有效减少消耗
 
-observation_context_size = 15 # 观察到的最长上下文大小,建议15，太短太长都会导致脑袋尖尖
+observation_context_size = 16 # 观察到的最长上下文大小,建议15，太短太长都会导致脑袋尖尖
-compressed_length = 5 # 不能大于observation_context_size,心流上下文压缩的最短压缩长度，超过心流观察到的上下文长度，会压缩，最短压缩长度为5
+compressed_length = 8 # 不能大于observation_context_size,心流上下文压缩的最短压缩长度，超过心流观察到的上下文长度，会压缩，最短压缩长度为5
-compress_length_limit = 5 #最多压缩份数，超过该数值的压缩上下文会被删除
+compress_length_limit = 4 #最多压缩份数，超过该数值的压缩上下文会被删除
 
 [focus_chat_processor] # 专注聊天处理器，打开可以实现更多功能，但是会增加token消耗
 self_identify_processor = true # 是否启用自我识别处理器
 tool_use_processor = false # 是否启用工具使用处理器
-working_memory_processor = false # 是否启用工作记忆处理器
+working_memory_processor = false # 是否启用工作记忆处理器，不稳定，消耗量大
 
 [emoji]
 max_reg_num = 40 # 表情包最大注册数量

template/template.env

@@ -2,14 +2,16 @@ HOST=127.0.0.1
 PORT=8000
 
 #key and url
-CHAT_ANY_WHERE_BASE_URL=https://api.chatanywhere.tech/v1
 SILICONFLOW_BASE_URL=https://api.siliconflow.cn/v1/
 DEEP_SEEK_BASE_URL=https://api.deepseek.com/v1
+CHAT_ANY_WHERE_BASE_URL=https://api.chatanywhere.tech/v1
+xxxxxxx_BASE_URL=https://xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 
 # 定义你要用的api的key(需要去对应网站申请哦)
 DEEP_SEEK_KEY=
 CHAT_ANY_WHERE_KEY=
 SILICONFLOW_KEY=
+xxxxxxx_KEY=
 
 # 定义日志相关配置
 
@@ -22,8 +24,8 @@ CONSOLE_LOG_LEVEL=INFO
 # 自定义日志的默认文件输出日志级别
 FILE_LOG_LEVEL=DEBUG
 
-# 原生日志的控制台输出日志级别（nonebot就是这一类）
+# 原生日志的控制台输出日志级别
 DEFAULT_CONSOLE_LOG_LEVEL=SUCCESS
 
-# 原生日志的默认文件输出日志级别（nonebot就是这一类）
+# 原生日志的默认文件输出日志级别
 DEFAULT_FILE_LOG_LEVEL=DEBUG

tests/test_config.py

@@ -1,7 +0,0 @@
-from src.config.config import global_config
-
-
-class TestConfig:
-    def test_load(self):
-        config = global_config
-        print(config)