wow/auto_bot.py

import json
import os
import random
import sys
import time
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

# 定义按键常量
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）"""
    if not path or not os.path.exists(path):
        return None
    try:
        with open(path, 'r', encoding='utf-8') as f:
            cfg = json.load(f)
        steps = cfg.get('steps') or []
        trigger = float(cfg.get('trigger_chance', 0.3))
        hp_below = int(cfg.get('hp_below_percent', 0)) or 0
        mp_below = int(cfg.get('mp_below_percent', 0)) or 0
        return {
            'trigger_chance': trigger,
            'steps': steps,
            'hp_below_percent': hp_below,
            'hp_key': (cfg.get('hp_key') or '').strip() or None,
            'mp_below_percent': mp_below,
            'mp_key': (cfg.get('mp_key') or '').strip() or None,
        }
    except Exception:
        return None


class AutoBot:
    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
        self.stuck_handler = StuckHandler()
        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:
            # 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:
            cfg = self.attack_loop_config
            if random.random() >= cfg['trigger_chance']:
                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']:
                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']:
                hw_ctrl.press(cfg['mp_key'])
                time.sleep(0.2)

            # 每次攻击前选中目标
            # hw_ctrl.press(KEY_LOOT)
            for step in cfg['steps']:
                key = step.get('key') or KEY_ATTACK
                delay = float(step.get('delay', 0.5))
                hw_ctrl.press(key)
                time.sleep(delay)
            return
        # 默认：模拟手动按键的节奏
        if random.random() < 0.3:
            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

            self.tab_no_target_count = min(self.tab_no_target_count, 5)
            if self.tab_no_target_count >= 5:
                turn_key = random.choice(["a", "d"])
                hw_ctrl.keyDown(turn_key)
                time.sleep(random.uniform(0.3, 0.6))
                hw_ctrl.keyUp(turn_key)
                self.tab_no_target_count = 0
                self.last_tab_time = current_time
                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

# 在 main 循环中使用：从 game_state 获取 state
if __name__ == "__main__":
    bot = AutoBot()
    try:
        while True:
            state = parse_game_state()
            if state:
                target_hp = state.get('target_hp')
                if target_hp is not None:
                    hp_part = f"血量:{state['hp']}% 目标血:{target_hp}% | 法力:{state['mp']}% | "
                else:
                    hp_part = f"血量:{state['hp']}% | 法力:{state['mp']}% | "
                print(
                    f"\r[状态] {hp_part}"
                    f"战斗:{'YES' if state['combat'] else 'NO '} | "
                    f"目标:{'YES' if state['target'] else 'NO '}",
                    end=""
                )
                bot.execute_logic(state)
            time.sleep(0.1)
    except KeyboardInterrupt:
        print("\n已停止。")