yys-plugin.zip

import sys from tkinter import scrolledtext, messagebox from goto import with_goto from PicToolsModule import * tool = PicTools() # 计算9个结界的x和y位置以及进攻退出位置 def GetJieJieLocation(imgs, kp, des, ): locdictx = {} locdicty = {} escx = 0 escy = 0 obj = imgs['rank'] pos1 = tool.GetLocation(obj, kp, des) obj = imgs['close'] pos2 = tool.GetLocation(obj, kp, des) obj = imgs['ticket'] pos3 = tool.GetLocation(obj, kp, des) if pos1 is None or pos2 is None or pos3 is None: messagebox.showinfo('提示', '个人突破界面出错，请打开突破界面后或者尝试调整游戏界面大小至合适后重试！') sys.exit(-1) return None else: # escx, escy为进攻是退出按钮的位置 escx = pos1[0] escy = pos3[1] # 根据排名和退出突破界面按钮二者的位置计算九个结界的位置 x1 = numpy.int32(pos1[0] + (pos2[0] - pos1[0]) / 4) x2 = numpy.int32(pos1[0] + (pos2[0] - pos1[0]) / 2) x3 = numpy.int32(pos2[0] - (pos2[0] - pos1[0]) / 6) y1 = numpy.int32(pos1[1] - (pos1[1] - pos2[1]) / 6) y2 = numpy.int32(pos2[1] + (pos1[1] - pos2[1]) / 2) y3 = numpy.int32(pos2[1] + (pos1[1] - pos2[1]) / 6) locdictx["1"] = x1; locdicty["1"] = y3; locdictx["2"] = x2; locdicty["2"] = y3; locdictx["3"] = x3; locdicty["3"] = y3; locdictx["4"] = x1; locdicty["4"] = y2; locdictx["5"] = x2; locdicty["5"] = y2; locdictx["6"] = x3; locdicty["6"] = y2; locdictx["7"] = x1; locdicty["7"] = y1; locdictx["8"] = x2; locdicty["8"] = y1; locdictx["9"] = x3; locdicty["9"] = y1; return (locdictx, locdicty, escx, escy) # 寻找某个目标点的位置，并做一定范围的随机位置处理 def GetTargetCheatPosition(imgs, targetname, holdtimemin, holdtimemax, factor): # 截图 screen = tool.GetScreenShot() kp2, des2 = tool.ComputeScreenShot(screen) obj = imgs[targetname] # 获取位置 pos = tool.GetLocation(obj, kp2, des2) if pos is not None: return tool.CheatPos(pos, factor) else: return None class TuPo(): def __init__(self): self._flag = False self.NeedCloseGame = False self.NeedCloseSystem = False @with_goto def Run(self, LogUI, NeedCloseGame, NeedCloseSystem): imgs = tool.LoadImgs("tupo") # 9个结界的x和y坐标（注意方向） locdictx = {} locdicty = {} screen = tool.GetScreenShot() # 为了优化速度，把计算屏幕截图的特征提取出来，避免重复运算 kp2, des2 = tool.ComputeScreenShot(screen) # 根据计算出的特征计算九个结界位置和退出按钮位置(在进攻界面识别会出问题/捂脸，这里直接计算出位置即可) locdictx, locdicty, escx, escy = GetJieJieLocation(imgs, kp2, des2) label.begin while self._flag is not True: # 失败次数 losetimes = 0 # 当前在第几个结界(1~9) jiejienum = 1 # 是否刚点击了结界进而准备点击进攻 attackready = 0 # 防止多次识别胜利页面导致当前在第几个结界出现错误 next = 0 # label报错不要理，编译可以通过 # 重新开始检查元素标签 label.restart # 图像识别结果字典(存的位置信息，如果未识别到则为None) resultobj = {} # 截屏 screen = tool.GetScreenShot() # 为了优化速度，把计算屏幕截图的特征提取出来，避免重复运算 kp2, des2 = tool.ComputeScreenShot(screen) # obj = imgs['refresh'] # if GetLocation(obj,kp2,des2) is not None: # print(666) # ''' print("......") time.sleep(random.randint(1000, 1200) / 1000) print("jiejienum:" + str(jiejienum) + ", losetimes:" + str(losetimes) + ", attackready:" + str( attackready) + ", next:" + str(next)) print("图像识别判定中") for i in ['victoryend', 'victory', 'failure', 'noticket', 'reject', 'auto', 'attack', 'refresh', 'confirm']: obj = imgs[i] pos = tool.GetLocation(obj, kp2, des2) if pos is not None: # 如果是奖励界面，点击奖励达摩，然后重新识别界面 if i == 'victoryend': print("victoryend") pos = tool.CheatPos(pos, 30) tool.Click(pos) # 如果结界已经突破完，刷新统计数据重新开始 if jiejienum == 10: print("九个结界突破完毕，刷新数据重新开始") goto.begin # 如果结界未突破完，继续识别界面进行判断 else: goto.restart # 如果是胜利页面，点击胜利页面，然后继续识别界面进行判断 elif i == 'victory': print("victory") tool.Click(tool.CheatPos(pos, 20)) if next == 0: jiejienum = jiejienum + 1 print(jiejienum) next = 1 else: print(jiejienum) jiejienum = jiejienum goto.restart # 如果是失败页面，点击失败页面，记录失败次数，然后继续识别界面进行判断 elif i == 'failure': print("failure") losetimes = losetimes + 1 print("失败次数：" + str(losetimes)) tool.Click(tool.CheatPos(pos, 20)) goto.restart # 如果有协作，直接关闭，然后重新开始识别当前界面 elif i == 'reject': print("reject") pos = tool.CheatPos(pos, 5) tool.Click(pos) # 重新开始识别界面 goto.restart # 如果突破券耗尽直接退出 elif i == 'noticket': print("noticket") sys.exit(-1) else: print(str(i) + "位置已存储") resultobj[i] = pos if ('attack' in resultobj) is True: print("点击attack:第" + str(jiejienum) + "个结界") # 已经点击结界，需要点击进攻 tool.Click(resultobj['attack']) attackready = 0 next = 0 time.sleep(random.randint(3000, 4000) / 1000) goto.restart elif ('refresh' in resultobj) is True: print("判断结界页面") # 处在突破主面板，需要根据当前进整体攻情况点击进攻或者刷新 # 如果失败次数过多认为有个结界始终打不过，直接刷新数据重新开始判断流程 if losetimes > 4: print("失败超过四次直接refresh") tool.Click(resultobj['refresh']) goto.begin else: