629 lines
26 KiB
Python
629 lines
26 KiB
Python
import json
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import os
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import random
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import sys
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import time
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import math
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import ctypes
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import cv2
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import numpy as np
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import win32gui
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import win32con
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# 开启 DPI 意识
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try:
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ctypes.windll.shcore.SetProcessDpiAwareness(1)
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except Exception:
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ctypes.windll.user32.SetProcessDPIAware()
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from hardware_control import hw_ctrl
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from game_state import parse_game_state, load_layout_config
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from stuck_handler import StuckHandler
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# 定义按键常量
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KEY_TAB = '3'
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KEY_LOOT = '4' # 假设你在游戏里设置了互动按键为 F
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KEY_ATTACK = '2' # 假设你的主攻击技能是 1
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WIN_TITLE = "魔兽世界"
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def _config_base():
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if getattr(sys, 'frozen', False):
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return os.path.dirname(sys.executable)
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return os.path.dirname(os.path.abspath(__file__))
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def get_config_path(filename):
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base = _config_base()
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p = os.path.join(base, filename)
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if os.path.exists(p):
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return p
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if getattr(sys, 'frozen', False):
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meipass = getattr(sys, '_MEIPASS', '')
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if meipass:
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p2 = os.path.join(meipass, filename)
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if os.path.exists(p2):
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return p2
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return p
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def move_cursor_hw(x, y, settle_sec=0.02):
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hw_ctrl.move_to(int(x), int(y))
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if settle_sec > 0:
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time.sleep(settle_sec)
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def get_wow_client_rect(hwnd):
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client_left, client_top, client_right, client_bottom = win32gui.GetClientRect(hwnd)
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screen_left, screen_top = win32gui.ClientToScreen(hwnd, (client_left, client_top))
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screen_right, screen_bottom = win32gui.ClientToScreen(hwnd, (client_right, client_bottom))
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return screen_left, screen_top, screen_right, screen_bottom
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class CursorManager:
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"""通过图像识别判断鼠标图标类型"""
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def __init__(self):
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self.templates = {}
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self.handle_cache = {}
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self.log_path = get_config_path('cursor_recognition.log')
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self._load_templates()
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def _load_templates(self):
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# 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
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cursor_dir = get_config_path(os.path.join('images', 'cursor'))
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files = {'Point': 'Point.PNG', 'Attack': 'Attack.PNG', 'LootAll': 'LootAll.PNG', 'Skin': 'Skin.PNG'}
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for name, fname in files.items():
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path = os.path.join(cursor_dir, fname)
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if os.path.exists(path):
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try:
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# 使用 numpy 读取二进制流再解码
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img_array = np.fromfile(path, dtype=np.uint8)
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img = cv2.imdecode(img_array, cv2.IMREAD_UNCHANGED)
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if img is not None:
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if img.shape[2] == 3:
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img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)
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self.templates[name] = img
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except Exception as e:
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print(f">>> [CursorMgr] 加载 {fname} 失败: {e}")
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else:
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print(f">>> [CursorMgr] 找不到文件: {path}")
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def get_type(self, hcursor):
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if not hcursor or hcursor == 0: return 'Other', 0.0
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if hcursor in self.handle_cache: return self.handle_cache[hcursor]
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res = self._identify(hcursor)
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self.handle_cache[hcursor] = res
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return res
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def _debug_log(self, message):
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try:
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with open(self.log_path, 'a', encoding='utf-8') as f:
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f.write(f"{time.strftime('%Y-%m-%d %H:%M:%S')} {message}\n")
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except Exception:
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pass
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def _normalize_for_match(self, img):
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if img is None:
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return None
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if len(img.shape) == 2:
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gray = img
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elif img.shape[2] == 4:
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alpha = img[:, :, 3].astype(np.float32) / 255.0
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bgr = img[:, :, :3].astype(np.float32)
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bg = np.full_like(bgr, 255.0)
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composed = (bgr * alpha[..., None]) + (bg * (1.0 - alpha[..., None]))
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gray = cv2.cvtColor(composed.astype(np.uint8), cv2.COLOR_BGR2GRAY)
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else:
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gray = cv2.cvtColor(img[:, :, :3], cv2.COLOR_BGR2GRAY)
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return cv2.GaussianBlur(gray, (3, 3), 0)
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def _edge_map(self, gray):
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if gray is None:
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return None
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return cv2.Canny(gray, 32, 96)
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def _identify(self, hcursor):
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import win32ui
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||
try:
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width, height = 48, 48
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hdc = win32gui.GetDC(0)
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dc = win32ui.CreateDCFromHandle(hdc)
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memdc = dc.CreateCompatibleDC()
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bitmap = win32ui.CreateBitmap()
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bitmap.CreateCompatibleBitmap(dc, width, height)
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memdc.SelectObject(bitmap)
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win32gui.DrawIconEx(memdc.GetSafeHdc(), 0, 0, hcursor, width, height, 0, 0, win32con.DI_NORMAL)
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bits = bitmap.GetBitmapBits(True)
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target = np.frombuffer(bits, dtype='uint8').reshape(height, width, 4)
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memdc.DeleteDC()
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win32gui.ReleaseDC(0, hdc)
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best_name = 'Other'
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max_score = 0.0
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best_scale = 1.0
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target_gray = self._normalize_for_match(target)
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target_edge = self._edge_map(target_gray)
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target_has_edge = target_edge is not None and np.count_nonzero(target_edge) > 0
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scales = [0.55, 0.65, 0.75, 0.85, 0.95, 1.0, 1.1, 1.2, 1.35, 1.5]
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for name, temp in self.templates.items():
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t_h, t_w = temp.shape[:2]
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for s in scales:
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s_w, s_h = int(t_w * s), int(t_h * s)
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if s_w > width or s_h > height:
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continue
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interp = cv2.INTER_AREA if s < 1.0 else cv2.INTER_CUBIC
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res_temp = cv2.resize(temp, (s_w, s_h), interpolation=interp)
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temp_gray = self._normalize_for_match(res_temp)
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if temp_gray is None:
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continue
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gray_res = cv2.matchTemplate(target_gray, temp_gray, cv2.TM_CCOEFF_NORMED)
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_, gray_score, _, _ = cv2.minMaxLoc(gray_res)
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score = gray_score
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temp_edge = self._edge_map(temp_gray)
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if target_has_edge and temp_edge is not None and np.count_nonzero(temp_edge) > 0:
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edge_res = cv2.matchTemplate(target_edge, temp_edge, cv2.TM_CCOEFF_NORMED)
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_, edge_score, _, _ = cv2.minMaxLoc(edge_res)
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score = max(score, edge_score)
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if score > max_score:
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max_score = score
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best_name = name
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best_scale = s
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if max_score > 0.2:
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self._debug_log(f"best={best_name} score={max_score:.3f} scale={best_scale:.2f}")
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print(f">>>> [雷达识别] 目标: {best_name} | 最高分: {max_score:.3f}")
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return best_name, max_score
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except Exception:
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return 'Other', 0.0
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def load_attack_loop(path):
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"""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）"""
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if not path or not os.path.exists(path):
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return None
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try:
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with open(path, 'r', encoding='utf-8') as f:
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cfg = json.load(f)
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steps = cfg.get('steps') or []
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trigger = float(cfg.get('trigger_chance', 0.3))
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hp_below = int(cfg.get('hp_below_percent', 0)) or 0
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mp_below = int(cfg.get('mp_below_percent', 0)) or 0
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return {
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'trigger_chance': trigger,
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'steps': steps,
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'hp_below_percent': hp_below,
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'hp_key': (cfg.get('hp_key') or '').strip() or None,
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'mp_below_percent': mp_below,
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'mp_key': (cfg.get('mp_key') or '').strip() or None,
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}
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except Exception:
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return None
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class AutoBot:
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def __init__(
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self,
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waypoints=None,
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attack_loop_path=None,
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skinning_wait_sec=None,
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enable_mouse_loot=True,
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turn_error_key=None,
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turn_error_hold_sec=None,
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distance_interact_pause_sec=None,
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):
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self.last_tab_time = 0
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self.last_interaction_time = 0
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self.last_target_hp = 0
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self._has_braked_for_target = False
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self._was_in_combat_or_target = False
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self.is_running = True
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self.attack_loop_config = load_attack_loop(attack_loop_path)
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self.tab_no_target_count = 0 # 连续按 Tab 仍无目标的次数，满 5 次则转向
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self.stuck_handler = StuckHandler()
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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）
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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
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self.skinning_wait_sec = float(skinning_wait_sec) if skinning_wait_sec is not None else 1.5
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self.enable_mouse_loot = enable_mouse_loot
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self.cursor_mgr = CursorManager()
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self.last_turn_signal_time = 0.0
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self.turn_error_key = (turn_error_key or 's').strip().lower() or 's'
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self.combat_signal_retry_sec = 1.0
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self.turn_error_hold_sec = float(turn_error_hold_sec) if turn_error_hold_sec is not None else 0.8
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self.distance_interact_pause_until = 0.0
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self.distance_interact_brake_pending = False
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self.distance_interact_pause_sec = (
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float(distance_interact_pause_sec) if distance_interact_pause_sec is not None else 1.0
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)
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self.distance_interact_brake_sec = 0.08
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self._last_mouse_path_scale_signature = None
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def execute_disengage_loot(self):
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"""从有战斗/目标切换到完全脱战的瞬间，执行拾取 + 剥皮。"""
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try:
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# 1. 拟人化鼠标扫雷补漏拾取
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if self.enable_mouse_loot:
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self.mouse_sweep_loot()
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else:
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hw_ctrl.press(KEY_LOOT)
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time.sleep(0.5)
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# 关闭扫雷时，保留原有的补按交互和固定等待
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hw_ctrl.press(KEY_LOOT)
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time.sleep(self.skinning_wait_sec + 0.5)
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||
except Exception:
|
||
pass
|
||
|
||
def _load_mouse_path_points(self, client_width, client_height):
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path_points = []
|
||
layout = load_layout_config()
|
||
base_width = int(layout.get('mouse_path_base_window_width', 2560) or 2560)
|
||
base_height = int(layout.get('mouse_path_base_window_height', 1600) or 1600)
|
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path_file = get_config_path("loot_path.json")
|
||
if os.path.exists(path_file):
|
||
with open(path_file, 'r', encoding='utf-8') as f:
|
||
raw_path = json.load(f)
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||
|
||
if isinstance(raw_path, dict):
|
||
path_points = raw_path.get('points') or raw_path.get('path_points') or raw_path.get('offsets') or []
|
||
base_width = int(
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raw_path.get('base_window_width')
|
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or raw_path.get('window_width')
|
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or raw_path.get('base_client_width')
|
||
or base_width
|
||
)
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base_height = int(
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raw_path.get('base_window_height')
|
||
or raw_path.get('window_height')
|
||
or raw_path.get('base_client_height')
|
||
or base_height
|
||
)
|
||
else:
|
||
path_points = raw_path
|
||
|
||
if path_points:
|
||
scale_x = client_width / max(base_width, 1)
|
||
scale_y = client_height / max(base_height, 1)
|
||
signature = (client_width, client_height, base_width, base_height)
|
||
if signature != self._last_mouse_path_scale_signature:
|
||
print(
|
||
f">>> [扫雷路径] 当前窗口 {client_width}x{client_height}，"
|
||
f"基准 {base_width}x{base_height}，缩放 x={scale_x:.3f} y={scale_y:.3f}"
|
||
)
|
||
self._last_mouse_path_scale_signature = signature
|
||
|
||
scaled_points = []
|
||
for point in path_points:
|
||
if not isinstance(point, (list, tuple)) or len(point) < 2:
|
||
continue
|
||
dx = int(round(float(point[0]) * scale_x))
|
||
dy = int(round(float(point[1]) * scale_y))
|
||
scaled_points.append((dx, dy))
|
||
if scaled_points:
|
||
return scaled_points
|
||
|
||
x_scale, y_scale = 1.8, 0.8
|
||
for r in range(50, client_height // 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)))
|
||
return path_points
|
||
|
||
def mouse_sweep_scan(
|
||
self,
|
||
target_cursor_types,
|
||
click_wait_map=None,
|
||
max_scan_sec=15.0,
|
||
score_threshold=0.7,
|
||
return_on_first_click=False,
|
||
):
|
||
hwnd = win32gui.FindWindow(None, WIN_TITLE)
|
||
if not hwnd:
|
||
return False
|
||
|
||
click_wait_map = click_wait_map or {}
|
||
target_cursor_types = set(target_cursor_types or [])
|
||
|
||
try:
|
||
left, top, right, bottom = get_wow_client_rect(hwnd)
|
||
client_width = max(right - left, 1)
|
||
client_height = max(bottom - top, 1)
|
||
center_x = left + (right - left) // 2
|
||
center_y = top + (bottom - top) // 2
|
||
|
||
move_cursor_hw(left + 50, top + 50, settle_sec=0.2)
|
||
_, default_hcursor, _ = win32gui.GetCursorInfo()
|
||
|
||
path_points = self._load_mouse_path_points(client_width, client_height)
|
||
start_time = time.time()
|
||
clicked_positions = []
|
||
|
||
for dx, dy in path_points:
|
||
if time.time() - start_time > max_scan_sec:
|
||
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 clicked_positions):
|
||
continue
|
||
|
||
move_cursor_hw(target_x, target_y, settle_sec=0.02)
|
||
|
||
_, hcursor, _ = win32gui.GetCursorInfo()
|
||
if hcursor == 0 or hcursor == default_hcursor:
|
||
continue
|
||
|
||
ctype_name, score = self.cursor_mgr.get_type(hcursor)
|
||
if score > score_threshold and ctype_name in target_cursor_types:
|
||
print(f">>> [扫雷] 识别成功: {ctype_name} (得分: {score:.3f}), 执行右键点击")
|
||
hw_ctrl.right_click()
|
||
clicked_positions.append((target_x, target_y))
|
||
|
||
wait_sec = float(click_wait_map.get(ctype_name, 0.3))
|
||
if wait_sec > 0:
|
||
time.sleep(wait_sec)
|
||
|
||
if return_on_first_click:
|
||
move_cursor_hw(center_x, center_y, settle_sec=0.02)
|
||
return True
|
||
|
||
wait_start = time.time()
|
||
while time.time() - wait_start < 0.8:
|
||
_, curr_h, _ = win32gui.GetCursorInfo()
|
||
check_name, _ = self.cursor_mgr.get_type(curr_h)
|
||
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} < 阈值 {score_threshold})")
|
||
|
||
move_cursor_hw(center_x, center_y, settle_sec=0.02)
|
||
return bool(clicked_positions)
|
||
except Exception as e:
|
||
print(f">>> [扫雷扫描] 出错: {e}")
|
||
return False
|
||
|
||
def mouse_scan_attack_target(self):
|
||
return self.mouse_sweep_scan(
|
||
['Attack'],
|
||
click_wait_map={'Attack': 0.3},
|
||
max_scan_sec=4.0,
|
||
score_threshold=0.6,
|
||
return_on_first_click=True,
|
||
)
|
||
|
||
def mouse_sweep_loot(self):
|
||
"""支持图标识别的高精度扫雷拾取。"""
|
||
return self.mouse_sweep_scan(
|
||
['LootAll', 'Skin'],
|
||
click_wait_map={'LootAll': 1.3, 'Skin': self.skinning_wait_sec},
|
||
max_scan_sec=15.0,
|
||
score_threshold=0.7,
|
||
return_on_first_click=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
|
||
move_cursor_hw(left + 50, top + 50, settle_sec=0.2)
|
||
_, default_hcursor, _ = win32gui.GetCursorInfo()
|
||
|
||
# 2. 获取扫瞄路径点位
|
||
path_points = []
|
||
path_file = get_config_path("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
|
||
|
||
move_cursor_hw(target_x, target_y, settle_sec=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)")
|
||
|
||
move_cursor_hw(center_x, center_y, settle_sec=0.02)
|
||
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)
|
||
combat_error_signal = int(state.get('combat_error_signal', 255) or 255)
|
||
|
||
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
|
||
self.distance_interact_brake_pending = False
|
||
self.distance_interact_pause_until = 0.0
|
||
|
||
# 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
|
||
|
||
if self.distance_interact_brake_pending:
|
||
if current_time < self.distance_interact_pause_until:
|
||
self.last_target_hp = target_hp
|
||
self._was_in_combat_or_target = True
|
||
return
|
||
hw_ctrl.keyDown('s')
|
||
time.sleep(self.distance_interact_brake_sec)
|
||
hw_ctrl.keyUp('s')
|
||
self.distance_interact_brake_pending = False
|
||
self.distance_interact_pause_until = 0.0
|
||
self.last_target_hp = target_hp
|
||
self._was_in_combat_or_target = True
|
||
return
|
||
|
||
# 2. 根据战斗信号执行纠偏动作
|
||
if (
|
||
combat_error_signal == 100
|
||
and (current_time - self.last_interaction_time) >= self.combat_signal_retry_sec
|
||
):
|
||
hw_ctrl.press(KEY_LOOT)
|
||
self.last_interaction_time = current_time
|
||
self.distance_interact_pause_until = current_time + self.distance_interact_pause_sec
|
||
self.distance_interact_brake_pending = True
|
||
self.last_target_hp = target_hp
|
||
self._was_in_combat_or_target = True
|
||
return
|
||
|
||
if (
|
||
combat_error_signal == 50
|
||
and (current_time - self.last_turn_signal_time) >= self.combat_signal_retry_sec
|
||
):
|
||
hw_ctrl.keyDown(self.turn_error_key)
|
||
time.sleep(self.turn_error_hold_sec)
|
||
hw_ctrl.keyUp(self.turn_error_key)
|
||
self.last_turn_signal_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.last_turn_signal_time = 0.0
|
||
self.last_interaction_time = 0.0
|
||
self.distance_interact_brake_pending = False
|
||
self.distance_interact_pause_until = 0.0
|
||
self._has_braked_for_target = False
|
||
return
|
||
|
||
self._was_in_combat_or_target = False
|
||
self.last_target_hp = 0
|
||
self.last_turn_signal_time = 0.0
|
||
self.last_interaction_time = 0.0
|
||
self.distance_interact_brake_pending = False
|
||
self.distance_interact_pause_until = 0.0
|
||
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。")
|