def auto_click():
util.log_h1(f'前置准备')
if sc.dir_check():
auto.open_driver()
dm.model_load()
while (True):
util.log_h1_start(f'开始')
start_time = time.time()
if sc.task():
min_index = dm.model_predict(c.crop_4_img_paths)
sc.save_data_img(min_index)
target_x, target_y = sc.find_xy_indesktop(
c.crop_4_img_paths[min_index])
if target_x == 0 and target_y == 0:
util.log_title('匹配失败')
else:
auto.move_to(target_x, target_y)
if sc.shot():
now_x, now_y = sc.find_mouse_in_desktop()
move_x = target_x - now_x + c.mouse_move_shape[0]
move_y = target_y - now_y + c.mouse_move_shape[1]
auto.move_rel_click(move_x, move_y)
end_time = time.time()
cost_time = end_time - start_time
util.log_h1_end(f'结束 耗时 %.3f' % cost_time)
time.sleep(3)
def crop_4():
util.log_title('弹窗人物切分')
w = 90
h = 120
for i in range(len(c.crop_4_img_names)):
shape = (w * i, 0, w * (i + 1), h)
crop(c.popup_sub_img_path, c.crop_4_img_paths[i], shape)
def image_check(img_path, size):
util.log_title('截图检查')
with Image.open(img_path) as img:
if img.size[1] == size[1]:
print(f'\t\tsize={size}\t\tok')
return True
print('Imgae Size Error')
return False
def is_fight():
util.log_title('状态判断')
rate = compare_image(c.fighting_flag_img_path, c.fighting_img_path)
if rate > 0.95:
print('战斗 状态')
return True
else:
print('非战斗 状态')
return False
def dir_check():
util.log_title('文件夹检查')
dir_List = [
c.img_dir_path, c.flag_dir_path, c.sub_dir_path, c.data_dir_path,
c.train_dir, c.front_img_dir, c.others_img_dir, c.new_front_img_dir,
c.new_others_img_dir
]
for path in dir_List:
dir_create(path)
print(f'\t{path}\t\tok')
return True
def find_xy(template_path):
util.log_title('坐标查找')
shape, score = template_match(template_path, c.img_sc_path)
print(f'最高得分区域 {shape} 得分为 {score}')
if score >= 3:
x = (shape[2] + shape[0]) // 2
y = (shape[3] + shape[1]) // 2
print(f'中心点坐标为 {(x,y)}')
return x, y
else:
print(f'所有区域得分均小于3，匹配失败')
return 0, 0
def move_learn():
sc.dir_check()
util.log_title('图片朝向确认')
confirm = input(
f'请确认路径 {os.path.abspath(c.new_front_img_dir)} 下图片朝向均为 > 前 < : (确认后输入 Y , 输入其他退出) '
)
if confirm == 'Y' or confirm == 'y':
confirm = input(
f'请确认路径 {os.path.abspath(c.new_others_img_dir)} 下图片朝向均为 > 左 右 后 < : (确认后输入 Y , 输入其他退出)'
)
if confirm == 'Y' or confirm == 'y':
util.log_h1_start('开始')
sc.move_new_to_train()
util.log_h1_end('结束')
def popup_sub_crop():
util.log_title('弹窗判断')
shape_dict = {}
for i in range(len(c.popup_flag_img_paths)):
shape, score = template_match(c.popup_flag_img_paths[i], c.img_sc_path)
shape_dict[shape] = (score, i)
print(shape_dict)
max_shape = max(shape_dict, key=shape_dict.get)
score, i = shape_dict[max_shape]
print(f'最大区域 {max_shape} 最终得分为 {score}')
if score >= 3:
sub_shape = (max_shape[0] + c.popup_move_shapes[i][0],
max_shape[1] + c.popup_move_shapes[i][1],
max_shape[2] + c.popup_move_shapes[i][2],
max_shape[3] + c.popup_move_shapes[i][3])
print(f'弹框区域 {sub_shape}')
return crop(c.img_sc_path, c.popup_sub_img_path, sub_shape)
print(f'没有弹框')
return False
def shot():
util.log_title('截图')
win32gui.EnumWindows(get_all_hwnd, 0)
mhxy_title = ''
for h, t in hwnd_title.items():
if t.startswith('梦幻西游 ONLINE'):
mhxy_title = t
print(mhxy_title)
hwnd = win32gui.FindWindow(None, mhxy_title)
app = QApplication(sys.argv)
desktop_id = app.desktop().winId()
screen = QApplication.primaryScreen()
img_desk = screen.grabWindow(desktop_id).toImage()
img_sc = screen.grabWindow(hwnd).toImage()
img_desk.save(c.img_desktop_path)
img_sc.save(c.img_sc_path)
print(
f'img_desktop save to -> {os.path.abspath(c.img_desktop_path)}'
)
print(f'img_mhxy save to -> {os.path.abspath(c.img_sc_path)}')
if mhxy_title == '':
print('mhxy not start')
return False
return True
def fight_crop():
util.log_title('战斗标识截图')
return crop(c.img_sc_path, c.fighting_img_path, c.fight_shape)