add 硬件控制模块 (hardware_control.py) 并修复游戏状态扫描区域宽度

- 新增 wyhkm.dll 硬件盒子 COM 接口封装，支持键盘鼠标控制
- 修复 game_state_config.json 中 scan_region_width 过小导致截图越界的问题
- 添加鼠标路径录制器、硬件测试脚本等工具
- 更新多项配置默认值

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

auto_bot.py

@@ -1,9 +1,23 @@
 import json
 import os
 import random
+import sys
 import time
-import pydirectinput
+import math
+import ctypes
+import cv2
+import numpy as np
+import win32gui
+import win32api
+import win32con
 
+# 开启 DPI 意识
+try:
+    ctypes.windll.shcore.SetProcessDpiAwareness(1)
+except Exception:
+    ctypes.windll.user32.SetProcessDPIAware()
+
+from hardware_control import hw_ctrl
 from game_state import parse_game_state
 from stuck_handler import StuckHandler
 
@@ -11,6 +25,84 @@ from stuck_handler import StuckHandler
 KEY_TAB = '3'
 KEY_LOOT = '4'      # 假设你在游戏里设置了互动按键为 F
 KEY_ATTACK = '2'    # 假设你的主攻击技能是 1
+WIN_TITLE = "魔兽世界"
+
+def _config_base():
+    if getattr(sys, 'frozen', False):
+        return os.path.dirname(sys.executable)
+    return os.path.dirname(os.path.abspath(__file__))
+
+class CursorManager:
+    """通过图像识别判断鼠标图标类型"""
+    def __init__(self):
+        self.templates = {}
+        self.handle_cache = {}
+        self._load_templates()
+
+    def _load_templates(self):
+        # 强制使用纯相对路径，由 Python 自动处理 CWD，完美避开中文路径编码问题
+        cursor_dir = os.path.join('images', 'cursor')
+        files = {'Point': 'Point.PNG', 'Attack': 'Attack.PNG', 'LootAll': 'LootAll.PNG', 'Skin': 'Skin.PNG'}
+        for name, fname in files.items():
+            path = os.path.join(cursor_dir, fname)
+            if os.path.exists(path):
+                try:
+                    # 使用 numpy 读取二进制流再解码
+                    img_array = np.fromfile(path, dtype=np.uint8)
+                    img = cv2.imdecode(img_array, cv2.IMREAD_UNCHANGED)
+                    if img is not None:
+                        if img.shape[2] == 3:
+                            img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)
+                        self.templates[name] = img
+                except Exception as e:
+                    print(f">>> [CursorMgr] 加载 {fname} 失败: {e}")
+            else:
+                print(f">>> [CursorMgr] 找不到文件: {path}")
+
+    def get_type(self, hcursor):
+        if not hcursor or hcursor == 0: return 'Other', 0.0
+        if hcursor in self.handle_cache: return self.handle_cache[hcursor]
+        res = self._identify(hcursor)
+        self.handle_cache[hcursor] = res
+        return res
+
+    def _identify(self, hcursor):
+        import win32ui
+        try:
+            width, height = 48, 48
+            hdc = win32gui.GetDC(0)
+            dc = win32ui.CreateDCFromHandle(hdc)
+            memdc = dc.CreateCompatibleDC()
+            bitmap = win32ui.CreateBitmap()
+            bitmap.CreateCompatibleBitmap(dc, width, height)
+            memdc.SelectObject(bitmap)
+            win32gui.DrawIconEx(memdc.GetSafeHdc(), 0, 0, hcursor, width, height, 0, 0, win32con.DI_NORMAL)
+            bits = bitmap.GetBitmapBits(True)
+            target = np.frombuffer(bits, dtype='uint8').reshape(height, width, 4)
+            memdc.DeleteDC()
+            win32gui.ReleaseDC(0, hdc)
+
+            best_name = 'Other'
+            max_score = 0.0
+            
+            scales = [0.8, 1.0, 1.2]
+            for name, temp in self.templates.items():
+                t_h, t_w = temp.shape[:2]
+                for s in scales:
+                    s_w, s_h = int(t_w * s), int(t_h * s)
+                    if s_w > width or s_h > height: continue
+                    res_temp = cv2.resize(temp, (s_w, s_h))
+                    res = cv2.matchTemplate(target, res_temp, cv2.TM_CCOEFF_NORMED)
+                    _, score, _, _ = cv2.minMaxLoc(res)
+                    if score > max_score:
+                        max_score = score
+                        best_name = name
+            
+            if max_score > 0.2:
+                print(f">>>> [雷达识别] 目标: {best_name} | 最高分: {max_score:.3f}")
+            return best_name, max_score
+        except Exception:
+            return 'Other', 0.0
 
 def load_attack_loop(path):
     """从 JSON 加载攻击循环配置。支持 hp_below_percent/hp_key、mp_below_percent/mp_key（0=不启用）"""
@@ -36,8 +128,12 @@ def load_attack_loop(path):
 
 
 class AutoBot:
-    def __init__(self, waypoints=None, attack_loop_path=None, skinning_wait_sec=None):
+    def __init__(self, waypoints=None, attack_loop_path=None, skinning_wait_sec=None, enable_mouse_loot=True):
         self.last_tab_time = 0
+        self.last_interaction_time = 0
+        self.last_target_hp = 0
+        self._has_braked_for_target = False
+        self._was_in_combat_or_target = False
         self.is_running = True
         self.attack_loop_config = load_attack_loop(attack_loop_path)
         self.tab_no_target_count = 0  # 连续按 Tab 仍无目标的次数，满 5 次则转向
@@ -45,18 +141,101 @@ class AutoBot:
         self.target_acquired_time = None  # 本次获得目标的时间（目前仅用于调试/保留接口）
         self.last_turn_end_time = 0  # 最近一次结束 A/D 转向的时间，供卡死检测排除
         self.skinning_wait_sec = float(skinning_wait_sec) if skinning_wait_sec is not None else 1.5
+        self.enable_mouse_loot = enable_mouse_loot
+        self.cursor_mgr = CursorManager()
 
     def execute_disengage_loot(self):
         """从有战斗/目标切换到完全脱战的瞬间，执行拾取 + 剥皮。"""
         try:
-            # 拾取
-            pydirectinput.press(KEY_LOOT)
-            time.sleep(0.5)
-            # 剥皮
-            pydirectinput.press(KEY_LOOT)
-            time.sleep(self.skinning_wait_sec)
+            # 1. 拟人化鼠标扫雷补漏拾取
+            if self.enable_mouse_loot:
+                self.mouse_sweep_loot()
+            else:
+                hw_ctrl.press(KEY_LOOT)
+                time.sleep(0.5)
+            # 2. 剥皮动作
+            hw_ctrl.press(KEY_LOOT)
+            time.sleep(self.skinning_wait_sec + 0.5)
         except Exception:
             pass
+
+    def mouse_sweep_loot(self):
+        """支持图标识别的高精度扫雷拾取。"""
+        if random.random() < 0.1: return False
+        hwnd = win32gui.FindWindow(None, WIN_TITLE)
+        if not hwnd: return False
+        
+        try:
+            rect = win32gui.GetWindowRect(hwnd)
+            left, top, right, bottom = rect
+            center_x = left + (right - left) // 2
+            center_y = top + (bottom - top) // 2
+            
+            # 1. 强制“角落校准”采样
+            win32api.SetCursorPos((left + 50, top + 50))
+            time.sleep(0.2)
+            _, default_hcursor, _ = win32gui.GetCursorInfo()
+            
+            # 2. 获取扫瞄路径点位
+            path_points = []
+            path_file = "loot_path.json"
+            if os.path.exists(path_file):
+                with open(path_file, 'r') as f:
+                    path_points = json.load(f)
+            else:
+                # 降级方案：生成拟人化半椭圆
+                x_scale, y_scale = 1.8, 0.8
+                for r in range(50, (bottom-top)//2, 40):
+                    angles = range(180, 360, 5) if (r//40)%2==0 else range(360, 180, -5)
+                    for a in angles:
+                        rad = math.radians(a)
+                        path_points.append((int(r * math.cos(rad) * x_scale), int(r * math.sin(rad) * y_scale)))
+
+            # 3. 开始沿路径扫瞄
+            start_time = time.time()
+            looted_positions = []
+            
+            for dx, dy in path_points:
+                if time.time() - start_time > 15.0: break
+                
+                target_x = center_x + dx + random.randint(-5, 5)
+                target_y = center_y + dy + random.randint(-5, 5)
+                
+                if not (left+10 < target_x < right-10 and top+10 < target_y < bottom-10): continue
+                if any(math.dist((target_x, target_y), pos) < 30 for pos in looted_positions): continue
+
+                win32api.SetCursorPos((target_x, target_y))
+                time.sleep(0.02) 
+                
+                _, hcursor, _ = win32gui.GetCursorInfo()
+                if hcursor != 0 and hcursor != default_hcursor:
+                    # 识别图标
+                    ctype_name, score = self.cursor_mgr.get_type(hcursor)
+                    if score > 0.7 and ctype_name in ['LootAll', 'Skin']:
+                        print(f">>> [扫雷] 识别成功: {ctype_name} (得分: {score:.3f}), 执行右键点击")
+                        hw_ctrl.right_click()
+                        looted_positions.append((target_x, target_y))
+                        
+                        # 根据类型等待
+                        ws = 1.3 if ctype_name == 'LootAll' else self.skinning_wait_sec
+                        time.sleep(ws)
+                        
+                        # 等待指针恢复
+                        w_start = time.time()
+                        while time.time() - w_start < 0.8:
+                            _, ch, _ = win32gui.GetCursorInfo()
+                            check_name, _ = self.cursor_mgr.get_type(ch)
+                            if check_name == 'Point': break
+                            time.sleep(0.1)
+                        time.sleep(random.uniform(0.1, 0.2))
+                    elif score > 0.4:
+                        print(f">>> [扫雷] 疑似图标: {ctype_name} (得分: {score:.3f} < 门槛 0.7)")
+                    
+            win32api.SetCursorPos((center_x, center_y))
+            return True
+        except Exception as e:
+            print(f">>> [扫雷拾取] 出错: {e}")
+            return False
         
     def execute_combat_logic(self, state):
         if self.attack_loop_config:
@@ -65,74 +244,86 @@ class AutoBot:
                 return
             hp = state.get('hp')
             if hp is not None and cfg.get('hp_below_percent') and cfg.get('hp_key') and hp < cfg['hp_below_percent']:
-                pydirectinput.press(cfg['hp_key'])
+                hw_ctrl.press(cfg['hp_key'])
                 time.sleep(0.2)
             mp = state.get('mp')
             if mp is not None and cfg.get('mp_below_percent') and cfg.get('mp_key') and mp < cfg['mp_below_percent']:
-                pydirectinput.press(cfg['mp_key'])
+                hw_ctrl.press(cfg['mp_key'])
                 time.sleep(0.2)
 
             # 每次攻击前选中目标
-            pydirectinput.press(KEY_LOOT)
+            # hw_ctrl.press(KEY_LOOT)
             for step in cfg['steps']:
                 key = step.get('key') or KEY_ATTACK
                 delay = float(step.get('delay', 0.5))
-                pydirectinput.press(key)
+                hw_ctrl.press(key)
                 time.sleep(delay)
             return
         # 默认：模拟手动按键的节奏
         if random.random() < 0.3:
-            pydirectinput.press(KEY_ATTACK)
+            hw_ctrl.press(KEY_ATTACK)
             time.sleep(0.5)
 
     def execute_logic(self, state):
         current_time = time.time()
+        target_hp = state.get('target_hp', 0)
+        
+        effective_target = bool(state['target'] and target_hp > 0)
+        in_combat_or_target = bool(state['combat'] or effective_target)
+
+        if in_combat_or_target:
+            self.target_acquired_time = (self.target_acquired_time or current_time)
+            self.tab_no_target_count = 0 
+            
+            if effective_target:
+                is_new_target = (target_hp > self.last_target_hp + 5)
+                if is_new_target:
+                    self._has_braked_for_target = False
+
+                # 1. 刹车逻辑
+                if not self._has_braked_for_target and 0 < target_hp < self.last_target_hp:
+                    hw_ctrl.keyDown('s')
+                    time.sleep(0.05)
+                    hw_ctrl.keyUp('s')
+                    self._has_braked_for_target = True
+
+                # 2. 交互逻辑
+                cooldown = 2.0 if not state['combat'] else 6.0
+                if is_new_target or (current_time - self.last_interaction_time > cooldown):
+                    hw_ctrl.press(KEY_LOOT)
+                    self.last_interaction_time = current_time
+                self.last_target_hp = target_hp
+                if state['combat']:
+                    self.execute_combat_logic(state)
+            
+            self._was_in_combat_or_target = True
+            return
+        else:
+            if self._was_in_combat_or_target:
+                self.execute_disengage_loot()
+                self._was_in_combat_or_target = False
+                self.last_tab_time = current_time + 1.0 
+                self.last_target_hp = 0
+                self._has_braked_for_target = False
+                return 
+
+            self._was_in_combat_or_target = False
+            self.last_target_hp = 0
+            self._has_braked_for_target = False
 
-        # --- 场景 1：没有目标，按 Tab 选怪；连续 5 次无目标则随机左/右转再重试 ---
-        if not state['target']:
-            self.execute_disengage_loot()
-            self.target_acquired_time = None  # 脱战/无目标时清零
-            self.stuck_handler.reset()  # 避免脱战期间保留上次站桩的计时，导致重新选到目标立刻误判卡死
             self.tab_no_target_count = min(self.tab_no_target_count, 5)
             if self.tab_no_target_count >= 5:
-                # 随机左转或右转一段时间，再重新获取目标
-                turn_key = random.choice(["a", "d"])  # a=左转, d=右转
-                pydirectinput.keyDown(turn_key)
+                turn_key = random.choice(["a", "d"])
+                hw_ctrl.keyDown(turn_key)
                 time.sleep(random.uniform(0.3, 0.6))
-                pydirectinput.keyUp(turn_key)
+                hw_ctrl.keyUp(turn_key)
                 self.tab_no_target_count = 0
                 self.last_tab_time = current_time
-                self.last_turn_end_time = current_time  # 供卡死检测排除刚转向的一小段时间
-            elif current_time - self.last_tab_time > random.uniform(0.5, 1.2):
-                pydirectinput.press(KEY_TAB)
+                self.last_turn_end_time = current_time
+            elif current_time - self.last_tab_time > random.uniform(0.8, 1.5):
+                hw_ctrl.press(KEY_TAB)
                 self.last_tab_time = current_time
                 self.tab_no_target_count += 1
-        else:
-            self.tab_no_target_count = 0  # 有目标时清零
-            # 跑向怪阶段的卡死检测：只在目标血量为 100% 时认为是在“刚刚开怪、接近怪物”，避免残血目标也触发跑向怪卡死逻辑
-            target_hp = state.get('target_hp')
-            if target_hp >= 100:
-                try:
-                    if self.stuck_handler.check_stuck(state, self.last_turn_end_time):
-                        print(">>> [自动打怪] 可能卡住障碍物，执行脱困")
-                        self.stuck_handler.resolve_stuck()
-                        self.stuck_handler.reset()
-                        return
-                except Exception:
-                    pass
-
-        # --- 场景 2：有目标且不在战斗中，按交互键 ---
-        if state['target'] and not state['combat']:
-            if random.random() < 0.3:  # 只有 30% 的循环频率触发按键，模拟真人频率
-                pydirectinput.press(KEY_LOOT)
-
-        # --- 场景 3：有目标且在战斗中，自动按技能 ---
-        elif state['target'] and state['combat']:
-            self.execute_combat_logic(state)
-
-        # --- 场景 3：脱战且有可拾取物（需要你在 Lua 增加拾取位，见下文） ---
-        # if not state['in_combat'] and state['has_loot']:
-        #     pydirectinput.press(KEY_LOOT)
 
 # 在 main 循环中使用：从 game_state 获取 state
 if __name__ == "__main__":
@@ -155,4 +346,4 @@ if __name__ == "__main__":
                 bot.execute_logic(state)
             time.sleep(0.1)
     except KeyboardInterrupt:
-        print("\n已停止。")
+        print("\n已停止。")