Python でゲーム スクリプトを書くのはとても簡単であることが判明

def take_screenshot():
os.system("adb shell screencap -p /data/screenshot.png")
os.system("adb pull /data/screenshot.png ./tmp.png")

os.system(f"adb pull /data/data/tw.sonet.princessconnect/shared_prefs/tw.sonet.princessconnect.v2.playerprefs.xml ./user_info.xml")

# 切换账号1
os.system("adb push ./user_info1.xml /data/data/tw.sonet.princessconnect/shared_prefs/tw.sonet.princessconnect.v2.playerprefs.xml")
# 切换账号2
os.system("adb push ./user_info2.xml /data/data/tw.sonet.princessconnect/shared_prefs/tw.sonet.princessconnect.v2.playerprefs.xml")

def adb_click(center, offset=(0, 0)):
(x, y) = center
x += offset[0]
y += offset[1]
os.system(f"adb shell input tap {x} {y}")

text = "YourPassword"
os.system(f"adb shell input text {text}")

# 删除10个字符
for i in range(10):
os.system("adb shell input keyevent 67")

<span>xxxxxxxxxx</span>

<span role="presentation" style="padding-right: 0.1px;">adb shell dumpsys activity activities</span>

adb shell am force-stop tw.sonet.princessconnect

adb shell am start -W -n tw.sonet.princessconnect/jp.co.cygames.activity.OverrideUnityActivity

import cv2
def image_to_position(screen, template):
image_x, image_y = template.shape[:2]
result = cv2.matchTemplate(screen, template, cv2.TM_CCOEFF_NORMED)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
print("prob:", max_val)
if max_val > 0.98:
global center
center = (max_loc[0] + image_y / 2, max_loc[1] + image_x / 2)
return center
else:
return False
if __name__ == "__main__":
screen = cv2.imread('tmp.png')
template =cv2.imread('Xuandan.png')
print(image_to_position(screen, template))

from PIL import Image
def crop_screenshot(img_file, pos_x, pos_y, width, height, out_file):
img = Image.open(img_file)
region = (pos_x, pos_y, pos_x + width, pos_y + height)
cropImg = img.crop(region)
cropImg.save(out_file)
print("exported:", out_file)
if __name__ == "__main__":
crop_screenshot("tmp.png", 817,556, 190, 24, "test_id.png")

from PIL import Image
import pytesseract
image = Image.open('test_id.png')
content = pytesseract.image_to_string(image) # 识别图片
print(content)