yolo自动化项目实例解析(三)重构 1.85

原作者在1.85版本的时候将代码重构了,有很多步骤发生了变更,重新瞅瞅

一、main入口函数 (不带事件循环及ui)

和第一章一样,先取main,然后去找对应的函数在哪里,是做什么的

import ctypes
import os
import subprocess
import sys
import time
import traceback
import webbrowser

import state
from lanrenauto.jianchaupdate import get_var_data, get_updatetxt
from lanrenauto.logger_module import logger
from lanrenauto.moni.moni import find_child_window_handle, get_windows_screen_scale, set_console_position

if __name__ == '__main__':

    try:
        #忽略qt颜色警告
        os.environ['QT_LOGGING_RULES'] = 'qt.qpa.*=false'

        if ctypes.windll.shell32.IsUserAnAdmin():
            hwnd_cmd = find_child_window_handle(0, "ConsoleWindowClass", "YuanShenAi")
            if hwnd_cmd == 0:
                hwnd_cmd = find_child_window_handle(0, "ConsoleWindowClass", "懒人原神")
            vardata = get_var_data()
            if vardata != False:
                updatetxt = get_updatetxt()
                print(updatetxt)
                print("当前版本号:" + state.版本号)

                if float(vardata[1]) > float(state.版本号):
                    print(
                        "如果更新失败手动下更新包手动覆盖: https://gitee.com/LanRenZhiNeng/lanren-genshin-impact-ai/releases")
                    var = input(f"发现更新的版本 v{vardata[1]} 是否需要更新? (输入yes or no  默认更新)\n")
                    if var == "":
                        var = "yes"
                    if var.lower() != "no":
                        if float(state.版本号)>=float(vardata[3]):

                            update_process = subprocess.Popen(f'update.exe "{vardata[0]}.exe" "{vardata[2]}"',
                                                              creationflags=subprocess.CREATE_NEW_CONSOLE)
                            time.sleep(1)
                            sys.exit()
                        else:
                            print(f"更新失败!因为你当前版本低于{vardata[3]}最低可自动更新的版本,需要去下载最新的一键安装包")


            # 检测当前桌面的缩放比例
            if not get_windows_screen_scale() == 1:
                input(f"桌面缩放比例不是100% 禁止使用!请在桌面 右键 显示设置 缩放与布局改成100%\n设置好后如果还不行请检查是否有多个屏幕 可以拔掉其它屏幕 单独设置缩放100% 然后重启电脑\n如果非要用按回车继续")

            # 检测 连招服务是否存在
            if not os.path.exists(state.LIANZHAOFUWU):
                webbrowser.open("https://www.runker.net/windows-defender.html")
                input(f"文件 '{state.LIANZHAOFUWU}' 不存在!极有可能被杀毒软件干掉了!请关闭杀毒软件后重新安装!")
                exit()
            # 运行需要管理员权限的代码
            kernel32 = ctypes.windll.kernel32
            kernel32.SetConsoleMode(kernel32.GetStdHandle(-10), 128)
            os.environ['PNG_IGNORE_WARNINGS'] = '1'

            #设置cmd窗口位置
            set_console_position(state.CMD_LEFT,state.CMD_TOP,state.CMD_WIDTH,state.CMD_HEIGHT)

            # # 在事件循环中创建一个任务对象并加入事件循环
            # ysyl = YolovYuanShen(weights=state.WEIGHTS, providers=state.PROVIDERS, dic_labels=state.dic_labels,
            #                      model_h=state.IMGSIZE_WIDTH, model_w=state.IMGSIZE_HEIGHT)  # 启动yolov检测服务
            # ysam = YuanShenAutoMap()  # 启动寻路类
            # app = QApplication(sys.argv)  # 初始化Qt应用
            # ratio = screen_width / 2560  # 分辨率比例
            # # 设置全局字体大小
            # # 计算字体大小
            # base_font_size = 13
            # # 基准字体大小,适合1920*1080分辨率
            # new_font_size = int(base_font_size * ratio)
            # font = QFont("Arial", new_font_size)
            #
            # # 子控件的宽度
            # item_width=320
            # item_height=240
            # item_height_min = 60
            # window_main = MainWindow()
            # window_main.show()
            # sys.exit(app.exec_())  # 监听消息不关闭
        else:
            # 如果不是管理员,则请求以管理员权限重新运行程序
            ctypes.windll.shell32.ShellExecuteW(None, "runas", sys.executable, " ".join(sys.argv), None, 1)
    except Exception as err:
        if str(err).find("sys.exit")==-1:

            logger.error(traceback.format_exc())

1、版本新增: 桌面缩放检测、检测录制服务是否存在

经过第一章的整理这里我们也能大致看到上面是什么作用,和之前的变化在于

            # 检测当前桌面的缩放比例
            if not get_windows_screen_scale() == 1:
                input(f"桌面缩放比例不是100% 禁止使用!请在桌面 右键 显示设置 缩放与布局改成100%\n设置好后如果还不行请检查是否有多个屏幕 可以拔掉其它屏幕 单独设置缩放100% 然后重启电脑\n如果非要用按回车继续")

            # 检测 连招服务是否存在
            if not os.path.exists(state.LIANZHAOFUWU):
                webbrowser.open("https://www.runker.net/windows-defender.html")
                input(f"文件 '{state.LIANZHAOFUWU}' 不存在!极有可能被杀毒软件干掉了!请关闭杀毒软件后重新安装!")
                exit()

可以看到新增了一个坐标缩放检测,以及连招(录制操作及回放键鼠操作)

2、查找子窗口句柄及鼠标方法

lanrenauto/moni/moni.py

# -*- coding: utf-8 -*-
import ctypes
import math
import time
from ctypes import wintypes
import pyautogui
import win32api
import win32con
import win32gui
# 获取当前屏幕宽度和高度
screen_width = ctypes.windll.user32.GetSystemMetrics(0)
screen_height = ctypes.windll.user32.GetSystemMetrics(1)
# 定义MOUSEINPUT结构体
class MOUSEINPUT(ctypes.Structure):
    _fields_ = [("dx", ctypes.c_long),
                ("dy", ctypes.c_long),
                ("mouseData", ctypes.c_ulong),
                ("dwFlags", ctypes.c_ulong),
                ("time", ctypes.c_ulong),
                ("dwExtraInfo", ctypes.POINTER(ctypes.c_ulong))]
# 定义KEYBDINPUT结构体
class KEYBDINPUT(ctypes.Structure):
    _fields_ = [("wVk", ctypes.wintypes.WORD),
                ("wScan", ctypes.wintypes.WORD),
                ("dwFlags", ctypes.c_ulong),
                ("time", ctypes.c_ulong),
                ("dwExtraInfo", ctypes.POINTER(ctypes.c_ulong))]
# 定义INPUT结构体
class INPUT(ctypes.Structure):
    class _INPUT(ctypes.Union):
        _fields_ =[("mi", MOUSEINPUT),
                    ("ki", KEYBDINPUT)]

    _fields_ = [("type", ctypes.c_ulong),
                ("input", _INPUT)]
# 鼠标相对移动函数
def mouse_moveR(dx, dy):
    # 构造输入事件列表
    inputs = []
    inputs.append(INPUT(type=0, input=INPUT._INPUT(
        mi=MOUSEINPUT(dx=dx, dy=dy, mouseData=0, dwFlags=win32con.MOUSEEVENTF_MOVE, time=0, dwExtraInfo=None))))

    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))
def mouse_move(x, y):
    # 计算目标位置的绝对坐标值
    absolute_x = int(x / screen_width * 65535)
    absolute_y = int(y / screen_height * 65535)
    # 构造输入事件列表
    inputs = []
    inputs.append(INPUT(type=0, input=INPUT._INPUT(
        mi=MOUSEINPUT(dx=absolute_x, dy=absolute_y, mouseData=0, dwFlags=win32con.MOUSEEVENTF_MOVE | win32con.MOUSEEVENTF_ABSOLUTE,
                      time=0, dwExtraInfo=None))))
    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))
# 鼠标左键按下
def mouse_left_down():
    # 构造输入事件列表
    inputs = []
    inputs.append(INPUT(type=0, input=INPUT._INPUT(
        mi=MOUSEINPUT(dx=0, dy=0, mouseData=0, dwFlags=win32con.MOUSEEVENTF_LEFTDOWN, time=0, dwExtraInfo=None))))

    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))
# 鼠标左键弹起
def mouse_left_up():
    # 构造输入事件列表
    inputs = []
    inputs.append(INPUT(type=0, input=INPUT._INPUT(
        mi=MOUSEINPUT(dx=0, dy=0, mouseData=0, dwFlags=win32con.MOUSEEVENTF_LEFTUP, time=0, dwExtraInfo=None))))

    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))
# 鼠标右键按下
def mouse_right_down():
    # 构造输入事件列表
    inputs = []
    inputs.append(INPUT(type=0, input=INPUT._INPUT(
        mi=MOUSEINPUT(dx=0, dy=0, mouseData=0, dwFlags=win32con.MOUSEEVENTF_RIGHTDOWN, time=0, dwExtraInfo=None))))

    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))

# 鼠标右键弹起
def mouse_right_up():
    # 构造输入事件列表
    inputs = []
    inputs.append(INPUT(type=0, input=INPUT._INPUT(
        mi=MOUSEINPUT(dx=0, dy=0, mouseData=0, dwFlags=win32con.MOUSEEVENTF_RIGHTUP, time=0, dwExtraInfo=None))))

    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))
# 鼠标中键按下
def mouse_middle_down():
    # 构造输入事件列表
    inputs = []
    inputs.append(INPUT(type=0, input=INPUT._INPUT(
        mi=MOUSEINPUT(dx=0, dy=0, mouseData=0, dwFlags=win32con.MOUSEEVENTF_MIDDLEDOWN, time=0, dwExtraInfo=None))))

    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))
# 鼠标中键弹起
def mouse_middle_up():
    # 构造输入事件列表
    inputs = []
    inputs.append(INPUT(type=0, input=INPUT._INPUT(
        mi=MOUSEINPUT(dx=0, dy=0, mouseData=0, dwFlags=win32con.MOUSEEVENTF_MIDDLEUP, time=0, dwExtraInfo=None))))

    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))
original_style=0
def set_mouse_through(hwnd,setPenetrate=True):
    global original_style
    """设置窗口鼠标穿透"""
    if setPenetrate:
        style = win32gui.GetWindowLong(hwnd, win32con.GWL_EXSTYLE)
        original_style = style  # 保存原始样式,以便恢复
        new_style = style | win32con.WS_EX_TRANSPARENT | win32con.WS_EX_LAYERED
        win32gui.SetWindowLong(hwnd, win32con.GWL_EXSTYLE, new_style)
    else:
        if original_style==0:
            win32gui.SetWindowLong(hwnd, win32con.GWL_EXSTYLE,  win32con.WS_EX_LAYERED)
        else:
            win32gui.SetWindowLong(hwnd, win32con.GWL_EXSTYLE, original_style)
def set_window_activate(hwnd):
    """强制激活窗口"""
    try:
        #判断窗口是否为最小化
        if win32gui.IsIconic(hwnd):
            # 还原窗口
            win32gui.ShowWindow(hwnd, win32con.SW_RESTORE)

        # 将窗口置顶
        win32gui.SetWindowPos(hwnd, win32con.HWND_TOPMOST, 0, 0, 0, 0, win32con.SWP_NOMOVE | win32con.SWP_NOSIZE)
        # 取消置顶
        win32gui.SetWindowPos(hwnd, win32con.HWND_NOTOPMOST, 0, 0, 0, 0, win32con.SWP_NOMOVE | win32con.SWP_NOSIZE)

        win32gui.SetForegroundWindow(hwnd)
    except:
        pass
def set_window_display_affinity(hwnd):
    # WDA_NONE
    # 0x00000000
    # 对窗口的显示位置没有限制。
    # WDA_MONITOR
    # 0x00000001
    # 窗口内容仅显示在监视器上。 在其他任何位置,窗口都会显示,其中没有任何内容。
    # WDA_EXCLUDEFROMCAPTURE
    # 0x00000011
    # 窗口仅显示在监视器上。 在其他位置,窗口根本不显示。
    # 此相关性的一个用途是用于显示视频录制控件的窗口,以便控件不包含在捕获中。
    dwAffinity = wintypes.DWORD(0x00000011)  # 使用wintypes模块,"0x00000001"可换成其他值
    dll = ctypes.cdll.LoadLibrary("C:\\WINDOWS\\system32\\user32.dll")  # 接着导入user32.dll 模块
    dll.SetWindowDisplayAffinity(hwnd, dwAffinity)
# 键盘按下函数
def key_down(vk_code):
    inputs = []
    inputs.append(INPUT(type=1, input=INPUT._INPUT(
        ki=KEYBDINPUT(wVk=vk_code, wScan=0, dwFlags=0, time=0, dwExtraInfo=None))))

    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))
# 键盘弹起函数
def key_up(vk_code):
    inputs = []
    inputs.append(INPUT(type=1, input=INPUT._INPUT(
        ki=KEYBDINPUT(wVk=vk_code, wScan=0, dwFlags=win32con.KEYEVENTF_KEYUP, time=0, dwExtraInfo=None))))

    # 发送输入事件
    ctypes.windll.user32.SendInput(len(inputs), ctypes.byref(inputs[0]), ctypes.sizeof(INPUT))
# 键盘按下函数
def key_down2(vk_code):
    win32api.keybd_event(vk_code, 0, 0, 0)
# 键盘弹起函数
def key_up2(vk_code):
    win32api.keybd_event(vk_code, 0, win32con.KEYEVENTF_KEYUP, 0)
def get_windows_screen_scale():
    """ 调用 Windows API 函数获取缩放比例 """
    try:
        user32 = ctypes.windll.user32
        user32.SetProcessDPIAware()
        dpi = user32.GetDpiForSystem()
        # 计算缩放比例
        scale = round(dpi / 96.0, 2)

        return scale
    except Exception as e:
        print("获取缩放比例时出错:", e)
        return 1
def set_console_position(x, y, w,h):
    hwnd = ctypes.windll.kernel32.GetConsoleWindow()
    if hwnd:
        ctypes.windll.user32.MoveWindow(hwnd, x, y, w, h, True)
def get_window_handle_at_mouse_position():
    active_hwnd = ctypes.windll.user32.GetForegroundWindow()
    return active_hwnd
def find_child_window_handle(parent, class_name, window_title):
    hwnd_child = 0
    while True:
        hwnd_child = win32gui.FindWindowEx(parent, hwnd_child, class_name, None)
        if hwnd_child:

            buffer=win32gui.GetWindowText(hwnd_child)
            if window_title in buffer:
                return hwnd_child
        else:
            return 0
def get_windows_screen_scale():
    """ 调用 Windows API 函数获取缩放比例 """
    try:
        user32 = ctypes.windll.user32
        user32.SetProcessDPIAware()
        dpi = user32.GetDpiForSystem()
        # 计算缩放比例
        scale = round(dpi / 96.0, 2)

        return scale
    except Exception as e:
        print("获取缩放比例时出错:", e)
        return 1
def set_console_position(x, y, w,h):
    hwnd = ctypes.windll.kernel32.GetConsoleWindow()
    if hwnd:
        ctypes.windll.user32.MoveWindow(hwnd, x, y, w, h, True)
def set_angle(angle_now, angle_target, fault=6):
    '''
    模拟鼠标 控制镜头到指定方向角度
    Args:
        angle_now:
        angle_target:
        fault: 最少容差

    Returns:是否需要调整

    '''
    ret = True
    angle_diff = abs(angle_now - angle_target)
    if angle_diff <= fault:
        ret = False
    if ret == False:
        return False

    angle_diff = int((angle_target - angle_now) % 360)
    if angle_diff > 180:
        fangxiang = -1
        angle_diff = 360 - angle_diff
    else:
        fangxiang = 1
    if abs(angle_diff < fault):
        return True
    # print(f"调整视角 相差:{fangxiang * angle_diff}° 当前:{angle_now}° 目标:{angle_target}°  ")
    if angle_diff >= 100:
        mouse_moveR(int(fangxiang * 6 * angle_diff), 0)
    else:
        mouse_moveR(int(fangxiang * 5 * angle_diff), 0)
    return True
def get_angle(start_pos, next_pos):
    '''
    计算两个坐标之间的角度   相对以北方向为0度的角度
    Args:
        start_pos:
        next_pos:

    Returns:

    '''
    # 计算方向向量
    direction_x = next_pos[0] - start_pos[0]
    direction_y = next_pos[1] - start_pos[1]

    # 使用反正切函数计算弧度角度值
    angle_rad = math.atan2(direction_y, direction_x)

    # 将弧度角度值转换为以北方向为0度的角度
    angle_deg = math.degrees(angle_rad)
    # 将角度值转换为顺时针方向
    angle_deg = int((angle_deg + 360 + 90) % 360)

    return angle_deg
def running(bengpao=True):
    pyautogui.keyDown('w')
    if bengpao:
        mouse_right_down()
        time.sleep(1)
        mouse_right_up()
def speed_up():
    pyautogui.keyDown('w')
    mouse_right_down()
    time.sleep(0.2)
    mouse_right_up()

def show_hide_window(hwnd, show):
    if show:
        win32gui.ShowWindow(hwnd, 5)  # 5对应SW_SHOW
    else:
        win32gui.ShowWindow(hwnd, 0)  # 0对应SW_HIDE

3、检查版本更新

lanrenauto/jianchaupdate.py

import html

import requests

def get_var_data():
    try:
        headers = {
            'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36 Edg/117.0.2045.47"
        }
        res=requests.get("https://note.youdao.com/yws/api/personal/preview/WEB96c82d6b37c9fd60f8b1d146731080d6?method=convert&shareToken=f3fb8b827c2fbcd651073cf7b55a6b3e&engine=nyozo",headers=headers)
        if res.status_code==200:
            return html.unescape(res.text).split("<pre>")[-1].split("</pre>")[0].split("\n")[:-1]
        else:
            return False
    except:
        print("请不要开梯子")
        return False
def get_updatetxt():
    try:
        headers = {
            'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36 Edg/117.0.2045.47"
        }
        res = requests.get("https://note.youdao.com/yws/api/personal/preview/WEB9b9f3f25e3921ae407edf8ba9537b847?method=convert&shareToken=8b937504aee5dcb1f8c62678d7fffdad&engine=nyozo",headers=headers)
        if res.status_code == 200:
            return html.unescape(res.text).split("<pre>")[-1].split("</pre>")[0][:-1]
        else:
            return ""
    except:
        print("无法获取更新日志,请不要开梯子!")
        return ""
if __name__ == '__main__':

    print(get_var_data())
    print(get_updatetxt())

4、全局变量

state.py

# -*- coding: utf-8 -*-
import configparser
import json
import os
import sys

# 创建 ConfigParser 对象
config = configparser.ConfigParser()
# 加载 INI 文件
config.read("./datas/setting.ini")
GAME_TITLE=config.get( 'seting','GAME_TITLE', fallback='原神')
LIANZHAO=config.get( 'seting', 'LIANZHAO',fallback='阵容1草神2久岐忍3钟离4雷神.txt')
PATH_TASK=config.get( 'seting','PATH_TASK', fallback='./datas/Task/')
PATH_JIAOBEN=config.get( 'seting', 'PATH_JIAOBEN',fallback='./datas/JiaoBen/')
PACKS_TASK=config.get( 'seting', 'PACKS_TASK',fallback='./datas/Task/')
PATH_JUESE=config.get( 'seting', 'PATH_JUESE',fallback='./datas/img/juese/')
PATH_ADDRESS=config.get( 'seting', 'PATH_ADDRESS',fallback='./datas/img/address/')
WEIGHTS=config.get( 'seting','WEIGHTS', fallback='./datas/yolov5s_320.onnx')
IMGSIZE_WIDTH=int(config.get( 'seting','IMGSIZE_WIDTH', fallback='320'))
IMGSIZE_HEIGHT=int(config.get( 'seting','IMGSIZE_HEIGHT', fallback='320'))
PROVIDERS=config.get( 'seting','PROVIDERS', fallback="""["CUDAExecutionProvider", "CPUExecutionProvider"]""")
PROVIDERS=json.loads(PROVIDERS.replace("'",'"'))
LIANZHAOFUWU=config.get( 'seting','LIANZHAOFUWU', fallback='./datas/jiaoben/躺宝连招插件.exe')
DUANGKOUHAO=config.get( 'seting','DUANGKOUHAO', fallback='29943')
WINDOW_WIDTH=int(config.get( 'seting','WINDOW_WIDTH', fallback="640"))
WINDOW_HEIGHT=int(config.get('seting','WINDOW_HEIGHT',  fallback="900"))
WINDOW_LEFT=int(config.get( 'seting', 'WINDOW_LEFT',fallback="0"))
WINDOW_TOP=int(config.get( 'seting','WINDOW_TOP', fallback="300"))

CMD_WIDTH=int(config.get( 'seting','CMD_WIDTH', fallback="800"))
CMD_HEIGHT=int(config.get('seting','CMD_HEIGHT',  fallback="400"))
CMD_LEFT=int(config.get( 'seting', 'CMD_LEFT',fallback="500"))
CMD_TOP=int(config.get( 'seting','CMD_TOP', fallback="300"))

if CMD_TOP<0:
    CMD_TOP=300
if CMD_LEFT<0:
    CMD_LEFT=500
if CMD_WIDTH<100:
    CMD_WIDTH=800
    CMD_HEIGHT = 400
if CMD_HEIGHT<100:
    CMD_WIDTH = 800
    CMD_HEIGHT = 400


ON_SHUTDOWN=int(config.get( 'seting','ON_SHUTDOWN', fallback="0"))
ON_JIXING=int(config.get( 'seting','ON_JIXING', fallback="0"))
ON_NEXTPACK=int(config.get( 'seting','ON_NEXTPACK', fallback="0"))
ON_LIANZHAOBUJIANCE=int(config.get( 'seting','ON_LIANZHAOBUJIANCE', fallback="0"))
ON_STARTWITH=int(config.get('seting', 'ON_STARTWITH', fallback="0"))
TIMEOUT_DAGUAI=int(config.get( 'seting', 'TIMEOUT_DAGUAI',fallback='120'))
dic_labels={0:"玩家",1:"采集物",2:"生命树",3:"开关",4:"怪物",5:"提示关闭",6:"使用原粹树脂",7:"使用浓缩树脂",
                8:"关闭",9:"继续挑战",10:"退出秘境",11:"副本门框",12:"副本打完了",13:"副本楼梯",
                14:"往下落",15:"矿石",16:"往上跳",17:"F交互",18:"采集物-风",19:"采集物-冰",20:"确定",
                21:"取消",22:"返回",23:"被控了",24:"在水面",25:"宠物",26:"掉落物"}
状态_寻路中=True
状态_YOLOV=False
状态_检测中 = False
状态_循环开关 = False
状态_在爬墙=False
状态_需重新传送=False
状态_全局暂停=False
状态_已经有寻路了=False
状态_传送中=False
状态_是否回放中=False
状态_是否暂停=False
状态_是否开始录制=False
状态_是否禁止录制=True
状态_开伞时间=-1
录制_当前脚本名=""
录制_脚本文本=""
录制_path=""
录制_当前任务索引=-1
计时_未寻路=0
计次_误差过大=0
计次_移动停滞=0
计次_定位失败=0
计次_识别次数=0
计数_没找到怪物=0
计数_卡主次数=0
计数_没找到任何目标=0
计次_传送重试次数=0
开关_是否展预测结果=True
图片_YOLOV=False
图片_找图=False
游戏_当前视野角度=0
游戏_当前导航角度=0
游戏_当前坐标=[0,0]
游戏_当前目标坐标=[0,0]
游戏_打怪前坐标=[0,0]
QT_信号=None
版本号="1.85"

python_var=sys.version_info[1]
# 添加临时路径
temp_path = os.path.dirname(__file__)+"\\"
sys.path.append(temp_path)
# 获取当前的PATH环境变量
original_path = os.environ['PATH']
os.environ['PATH'] = temp_path + os.pathsep + original_path

5、日志格式化

lanrenauto/logger_module.py

import logging
import os
from logging.handlers import TimedRotatingFileHandler

# 创建全局的 logger
logger = logging.getLogger("LenRenAI")
logger.setLevel(logging.DEBUG)
# 创建一个handler,用于将日志输出到控制台
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.DEBUG)

log_dir = './log'
if not os.path.exists(log_dir):
    os.makedirs(log_dir)
# 创建一个handler,用于将日志输出到文件
file_handler = TimedRotatingFileHandler('./log/lanrenai.log', when='midnight', interval=1, backupCount=7)
file_handler.setLevel(logging.DEBUG)

# 定义日志消息格式
class CustomFormatter(logging.Formatter):

    FORMATS = {
        logging.DEBUG:  '%(asctime)s - %(name)s - %(levelname)s - %(message)s',
        logging.INFO: '%(asctime)s - %(name)s - %(levelname)s - %(message)s' ,
        logging.WARNING: '%(asctime)s - %(name)s - %(levelname)s - %(message)s' ,
        logging.ERROR: '%(asctime)s - %(name)s - %(levelname)s - %(message)s',
        logging.CRITICAL:  '%(asctime)s - %(name)s - %(levelname)s - %(message)s' ,
    }

    def format(self, record):
        log_fmt = self.FORMATS.get(record.levelno)
        formatter = logging.Formatter(log_fmt)
        return formatter.format(record)

#创建一个formatter格式类
formatter = CustomFormatter()

#设置消息格式
console_handler.setFormatter(formatter)
file_handler.setFormatter(formatter)

# 将handler添加到logger
logger.addHandler(console_handler)
logger.addHandler(file_handler)

二、获取自动化游戏操作类(AutoYuanShen)

vi main.py

if __name__ == '__main__':



     ....

            # 在事件循环中创建一个任务对象并加入事件循环
            from auto import YolovYuanShen
            ysyl = YolovYuanShen(weights=state.WEIGHTS, providers=state.PROVIDERS, dic_labels=state.dic_labels,
                                 model_h=state.IMGSIZE_WIDTH, model_w=state.IMGSIZE_HEIGHT)  # 启动yolov检测服务

1、添加操作类

操作太多了,我们用哪里看哪里

vi auto.py

# -*- coding: utf-8 -*-

import random
import threading
import traceback
import tangbaowss
from lanrenauto.findpic.findimg import *
from lanrenauto.tools.screenshot import screenshot
import state
from lanrenauto.yolov.lanrenonnx import LanRenOnnxYolov
from lanrenauto.moni.moni import *
import pyautogui
imgs_duihuahuopengren = [
            cv2.imdecode(np.fromfile(file="./datas/对话.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED),
            cv2.imdecode(np.fromfile(file="./datas/烹饪.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED),
            cv2.imdecode(np.fromfile(file="./datas/钓鱼.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED),
            cv2.imdecode(np.fromfile(file="./datas/齿轮.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        ]
imgs_pianpianhua = [cv2.imdecode(np.fromfile(file="./datas/薄荷.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED),
                    cv2.imdecode(np.fromfile(file="./datas/甜甜花.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
                    ]
def 开伞():
    __t=time.time()
    if  -state.状态_开伞时间 > 2 or state.状态_开伞时间==-1:
        state.状态_开伞时间=__t
        logger.info("检测到可能在下落 打风之翼")
        pyautogui.keyDown('space')
        time.sleep(0.2)
        pyautogui.keyUp('space')
        time.sleep(0.4)
        pyautogui.keyDown('space')
        time.sleep(0.2)
        pyautogui.keyUp('space')
        state.计次_误差过大 += 1
        state.状态_开伞时间=-1


class YolovYuanShen():
    def __init__(self, weights, providers=["CUDAExecutionProvider",'CPUExecutionProvider'],dic_labels={},model_h=320, model_w=320):
        pyautogui.PAUSE = 0.01
        pyautogui.FAILSAFE = False
        self.yolov = LanRenOnnxYolov(weights=weights, providers=providers,dic_labels=dic_labels,model_h=model_h, model_w=model_w)
        self.interaction_label = ["怪物", "采集物", "矿石","掉落物"]
        self.centre_point = [(1920 // 2), (1080 // 2) + 100]
        self.key_w_down = True
        self.小地图区域 = (87 - 10, 45 - 10, 246 + 10, 204 + 10)
        state.状态_YOLOV = True
    def run_fight(self,wakuang=False,caiji=False,daguai=False):
        global loop
        state.计时_未寻路 = 0
        # 获取窗口句柄
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
        while True:
            if state.状态_循环开关 == False:
                logger.info("强制退出!")
                pyautogui.keyUp('w')
                state.状态_是否回放中 = False
                state.计数_没找到任何目标 = 0
                tangbaowss.send_msg( "是否回放#@@#假")
                state.状态_检测中=False
                return
            if get_window_handle_at_mouse_position() == hwnd:
                break
        state.计数_没找到任何目标 = 0

        state.计数_没找到怪物 = 0
        state.状态_在爬墙 = False
        state.状态_检测中 = True
        state.状态_开伞时间 = -1
        已经_F了=False
        历史_上次玩家高度 = 0.1
        玩家高度 = 0.1
        计数_没有玩家 = 0
        isIn_wxl = False
        set_window_activate(hwnd)
        jiaoben = (os.path.abspath(os.path.join(state.PATH_JIAOBEN, state.LIANZHAO)))
        # 临时发送消息给指定客户端
        message = f"解析脚本#@@#{jiaoben}"
        tangbaowss.send_msg(message)
        time.sleep(2)

        while True:
            try:
                if state.状态_循环开关 == False:
                    state.状态_是否回放中 = False
                    state.计数_没找到任何目标 = 0
                    state.状态_检测中 = False
                    tangbaowss.send_msg( "是否回放#@@#假")
                    return
                time.sleep(0.005)
                rect = win32gui.GetWindowRect(hwnd)
                w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
                # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)
                left, top, right, bottom = 0, 0, 1920, 1080  # 替换成你实际的区域坐标

                # F交互框位置
                left_dh, top_dh, right_dh, bottom_dh = [1161, 508, 1319, 572]  # 替换成你实际的区域坐标

                p_left = rect[0] + w_p
                p_top = rect[1] + h_p
                计数_没有玩家 += 1
                if state.状态_寻路中 == False:
                    state.计数_没找到任何目标 += 1
                    state.计数_没找到怪物 += 1
                state.状态_在爬墙 = False
                if state.状态_已经有寻路了 == False or  state.状态_检测中==False:
                    state.状态_是否回放中 = False
                    state.计数_没找到任何目标 = 0
                    tangbaowss.send_msg( "是否回放#@@#假")
                    state.状态_检测中 = False
                    return
                if state.状态_全局暂停:
                    tangbaowss.send_msg( "是否回放#@@#假")
                    time.sleep(2)
                    continue
                if get_window_handle_at_mouse_position() != hwnd:
                    tangbaowss.send_msg( "是否回放#@@#假")
                    time.sleep(0.1)
                    # 激活hwnd
                    hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                    set_window_activate(hwnd)

                    time.sleep(0.2)
                if state.状态_传送中:
                    time.sleep(1)
                    continue
                # 设定保存截图的文件夹路径和文件名前缀
                # filename = f"./原神截图/{int(time.time())}{random.randint(1000,9999)}.jpg"
                ret_scr = screenshot(hwnd, left, top, right, bottom, filename=None)
                if type(ret_scr) == bool:
                    hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                    logger.info("截图失败了!可能是内存溢出了")
                    time.sleep(2)
                    continue

                datas, state.图片_YOLOV = self.yolov.detect(ret_scr, plot_box=state.开关_是否展预测结果)
                if state.开关_是否展预测结果:
                    state.QT_信号.mysig_show_yolov.emit()
                if state.状态_全局暂停:
                    pyautogui.keyUp('w')
                    tangbaowss.send_msg( "是否回放#@@#假")
                    time.sleep(2)
                    continue
                if datas == []:

                    if state.状态_是否回放中 == False:
                        if state.状态_在爬墙 == False and state.状态_寻路中 == True:

                            计数_没有玩家 = 0
                            ttt = threading.Thread(target=开伞)

                            if state.python_var > 9:
                                ttt.daemon = True
                            else:
                                ttt.setDaemon(True)
                            ttt.start()

                else:
                    # 将离屏幕中心最近的点排在前面

                    datas = sorted(datas, key=self.distance_to_target)
                    isIn, idex = find_dict_index(datas, 'label', '往上跳')
                    if isIn:
                        state.状态_在爬墙 = True
                    else:
                        state.状态_在爬墙 = False
                    isIn_wxl, _ = find_dict_index(datas, 'label', '往下落')

                    isIn, idex = find_dict_index(datas, 'label', '被控了')
                    if isIn:
                        logger.info("被控了!")
                        pyautogui.press('space')
                        pyautogui.press('space')
                        state.状态_是否回放中 = False
                        tangbaowss.send_msg( "是否回放#@@#假")
                        continue
                    isIn_jhdh, idex = find_dict_index(datas, 'label', 'F交互')
                    if isIn_jhdh:  # 路过的顺手捡了
                        # 二次排除对话烹饪  并且识别骗骗花
                        if random.randint(1, 2) == 1:

                            pyautogui.scroll(300)
                        else:
                            pyautogui.scroll(-300)
                        pyautogui.keyUp('w')
                        if not self.find_duihuahuopengren(hwnd, left_dh, top_dh, right_dh, bottom_dh, p_left,
                                                          p_top) or self.find_pianpianhua(hwnd, left_dh, top_dh,
                                                                                          right_dh, bottom_dh, p_left,
                                                                                          p_top):

                            self.key_w_down = False
                            已经_F了 =True

                            state.计次_识别次数 = 0
                            state.计数_卡主次数 = 0
                            logger.info(f"顺手捡采集物!{datas[idex]}")
                            state.状态_有目标 = True
                            pyautogui.keyDown('f')
                            time.sleep(0.1)
                            pyautogui.keyUp('f')
                            time.sleep(0.1)
                            pyautogui.keyDown('f')
                            time.sleep(0.1)
                            pyautogui.keyUp('f')
                            time.sleep(0.5)
                            state.计次_识别次数 = 0
                            state.计数_卡主次数 = 0
                            ret_scr = screenshot(hwnd, left, top, right, bottom, filename=None)
                            datas, state.图片_YOLOV = self.yolov.detect(ret_scr, plot_box=state.开关_是否展预测结果)

                        else:
                            pyautogui.keyDown('w')
                            logger.info(f"是对话或烹饪{datas[idex]}")

                            isIn_jhdh = False
                    isIn, idex = find_dict_index(datas, 'label', '在水面')
                    if isIn:
                        logger.info("在水面!")
                        state.状态_是否回放中 = False
                        tangbaowss.send_msg( "是否回放#@@#假")
                        state.状态_寻路中 = True
                        self.key_w_down = True
                        if random.randint(1, 4) == 2:
                            pyautogui.keyDown('shiftleft')
                            time.sleep(0.6)
                            pyautogui.keyUp('shiftleft')

                    isIn, idex = find_dict_index(datas, 'label', '确定')
                    if isIn:
                        if state.状态_寻路中:
                            state.状态_寻路中 = False
                        state.状态_有目标 = True
                        state.状态_是否回放中 = False
                        if self.key_w_down:
                            self.key_w_down = False
                            pyautogui.keyUp('w')
                        tangbaowss.send_msg( "是否暂停#@@#真")
                        time.sleep(0.2)
                        mouse_move(p_left + datas[idex]["x"], p_top + datas[idex]["y"])
                        logger.info(f"发现确定按钮,可能是吃复活药{datas[idex]}")
                        time.sleep(0.1)
                        mouse_left_down()
                        time.sleep(0.1)
                        mouse_left_up()
                        time.sleep(0.5)
                        state.计数_卡主次数 = 0
                        state.计次_识别次数 = 0
                        ret_scr = screenshot(hwnd, left, top, right, bottom, filename=None)
                        datas, state.图片_YOLOV = self.yolov.detect(ret_scr, plot_box=state.开关_是否展预测结果)
                        isIn, idex = find_dict_index(datas, 'label', '确定')
                        tangbaowss.send_msg( "是否暂停#@@#假")
                        if not isIn:
                            logger.info("停止脚本")
                            tangbaowss.send_msg( "是否回放#@@#假")


                    isIn, idex = find_dict_index(datas, 'label', '取消')
                    if isIn:
                        if state.状态_寻路中:
                            state.状态_寻路中 = False
                        state.状态_是否回放中 = False
                        if self.key_w_down:
                            self.key_w_down = False
                            pyautogui.keyUp('w')

                        # 判断是否死亡
                        ret_sw = self.find_zhuyidiren(hwnd, left, top, right, bottom, p_left, p_top)
                        state.状态_有目标 = True
                        tangbaowss.send_msg( "是否暂停#@@#真")
                        time.sleep(0.2)
                        mouse_move(p_left + datas[idex]["x"], p_top + datas[idex]["y"])
                        logger.info(f"发现取消按钮,可能是吃复活药{datas[idex]}")
                        time.sleep(0.2)
                        mouse_left_down()
                        time.sleep(0.2)
                        mouse_left_up()
                        time.sleep(0.3)
                        pyautogui.keyDown('shift')
                        time.sleep(0.2)
                        pyautogui.keyUp('shift')
                        state.计数_卡主次数 = 0
                        state.计次_识别次数 = 0
                        tangbaowss.send_msg( "是否暂停#@@#假")
                        if ret_sw:
                            state.计次_移动停滞 = 1200
                            state.计次_定位失败 = 1200
                            state.状态_是否回放中 = False
                            state.计数_没找到任何目标 = 0
                            logger.info("全军覆没了!跳过该任务!")
                            pyautogui.keyDown('esc')
                            time.sleep(0.1)
                            pyautogui.keyUp('esc')
                            state.状态_检测中 = False
                            return
                        ret_scr = screenshot(hwnd, left, top, right, bottom, filename=None)
                        datas, state.图片_YOLOV = self.yolov.detect(ret_scr, plot_box=state.开关_是否展预测结果)


                    isIn, idex = find_dict_index(datas, 'label', '返回')
                    if isIn:
                        logger.info("在派蒙界面,点返回")
                        pyautogui.keyUp('w')
                        self.key_w_down = False
                        pyautogui.keyDown("esc")
                        time.sleep(0.2)
                        pyautogui.keyUp("esc")
                        time.sleep(2)
                        pyautogui.keyDown('shift')
                        time.sleep(0.2)
                        pyautogui.keyUp('shift')
                        continue
                    isIn, idex = find_dict_index(datas, 'label', '玩家')
                    if isIn:
                        玩家高度 = datas[idex]["points"][1][1] - datas[idex]["points"][0][1]
                        计数_没有玩家 = 0
                    isIn, idex = find_dict_index(datas, 'label', '关闭')
                    if isIn:
                        if state.状态_寻路中:
                            state.状态_寻路中 = False
                        state.状态_有目标 = True

                        logger.info(f"发现关闭按钮 点错了界面{datas[idex]}")
                        pyautogui.keyDown('esc')
                        time.sleep(0.2)
                        pyautogui.keyUp('esc')
                        time.sleep(1)
                        mouse_moveR(6 * 180, 0)
                        time.sleep(2)
                        pyautogui.keyDown("w")
                        time.sleep(0.1)
                        pyautogui.keyUp("w")
                        self.key_w_down = False
                        ret_scr = screenshot(hwnd, left, top, right, bottom, filename=None)
                        datas, state.图片_YOLOV = self.yolov.detect(ret_scr, plot_box=state.开关_是否展预测结果)
                    for data in datas:

                        if isIn_jhdh == True:
                            state.计数_卡主次数 = 0
                            state.计次_识别次数 = 0
                            break
                        # 发现怪物则进行视角移动 以及 接近目标
                        if data["label"] in self.interaction_label:
                            if state.状态_寻路中 == False:
                                # 将它的中心点和游戏正中间进行靠近
                                if data["label"] == "怪物"  and data["points"][1][0] - \
                                            data["points"][0][0] >= 70:
                                    if not daguai:
                                        continue
                                    state.计数_没找到任何目标 = 0
                                    state.计数_没找到怪物 = 0

                                    # 如果怪物就再旁边则直接连招
                                    if self.centre_point[1] - data["points"][1][1] <= 20:
                                        if self.key_w_down:
                                            self.key_w_down = False
                                            pyautogui.keyUp('w')

                                        state.计数_卡主次数 = 0
                                        state.计次_识别次数 = 0

                                        if not state.状态_是否回放中:
                                            mouse_moveR(0, 800)
                                            logger.info("在连招中....")
                                            pyautogui.keyDown('x')
                                            time.sleep(0.2)
                                            pyautogui.keyUp('x')
                                            state.状态_是否回放中 = True

                                            tangbaowss.send_msg( "脚本执行#@@#2")

                                    else:

                                        angle=get_angle(self.centre_point, (data["x"], data["y"]))
                                        angle_diff = abs(0 - angle)
                                        if state.状态_在爬墙==True:
                                            #如果角度大于45度则建议按X绕过柱子
                                            if angle_diff>45:
                                                pyautogui.keyDown('x')
                                                time.sleep(0.2)
                                                pyautogui.keyUp('x')
                                                set_angle(0, angle)
                                                if random.randint(1,2)==2:
                                                    pyautogui.keyDown('a')
                                                    time.sleep(0.2)
                                                    pyautogui.keyUp('a')
                                                else:
                                                    pyautogui.keyDown('d')
                                                    time.sleep(0.2)
                                                    pyautogui.keyUp('d')
                                            else:
                                                pyautogui.keyDown('space')
                                                time.sleep(0.2)
                                                pyautogui.keyUp('space')
                                        else:
                                            set_angle(0, angle)
                                        pyautogui.keyDown('w')
                                        if random.randint(0, 50) == 5:
                                            pyautogui.keyDown('space')
                                            time.sleep(0.2)
                                            pyautogui.keyUp('space')
                                        self.key_w_down = True

                                    break  # 只判断第一只怪
                                elif data["label"] == "矿石":
                                    if not wakuang:
                                        continue
                                    state.计数_没找到任何目标 = 0
                                    state.计数_没找到怪物 = 0

                                    set_angle(0, get_angle(self.centre_point, (data["x"], data["y"])))
                                    # 如果矿石就再旁边则直接连招
                                    if self.centre_point[1] - data["points"][1][1] <= 40:
                                        if self.key_w_down:
                                            self.key_w_down = False
                                            time.sleep(0.2)
                                            pyautogui.keyUp('w')
                                        logger.info("在挖矿中....")

                                        state.计数_卡主次数 = 0
                                        state.计次_识别次数 = 0
                                        if not state.状态_是否回放中:
                                            logger.info("在挖矿中....")
                                            pyautogui.press("x")
                                            state.状态_是否回放中 = True
                                            tangbaowss.send_msg( "脚本执行#@@#2")

                                    else:

                                        pyautogui.keyDown('w')
                                        if random.randint(0, 50) == 5:
                                            pyautogui.keyDown('space')
                                            time.sleep(0.2)
                                            pyautogui.keyUp('space')
                                        self.key_w_down = True

                                    break  # 只判断第1个矿
                                else:  # '发现采集物'或 "掉落物"

                                    state.计数_没找到任何目标 = 0
                                    angle_now = 0
                                    angle_target = get_angle(self.centre_point, (data["x"], data["y"]))
                                    r_caiji=set_angle(angle_now, angle_target)
                                    pyautogui.keyDown('w')
                                    if random.randint(0, 30) == 5:
                                        pyautogui.keyDown('space')
                                        pyautogui.keyUp('space')
                                        self.key_w_down = True

                                    if  r_caiji==False:
                                        pyautogui.keyDown('shift')
                                        time.sleep(0.2)
                                        pyautogui.keyUp('shift')
                                    break  # 只判断第一个采集物
                            else:
                                if data["sim"]>=0.6:
                                    if state.状态_在爬墙==True:
                                        continue
                                    if data["label"] == "矿石":
                                        if not wakuang:
                                            continue
                                        logger.info("发现有矿石.顺手挖一下吧!")
                                        已经_F了 = False
                                    elif data["label"] == "怪物" and data["points"][1][
                                        0] - data["points"][0][0] >= 90:
                                        if not daguai:
                                            continue
                                        已经_F了 = False
                                        logger.info("发现有怪拦路.顺手消灭吧!")
                                    elif data["label"] == "采集物":
                                        if not caiji:
                                            continue
                                        已经_F了 = False
                                        logger.info("发现有采集物.顺手捡一下吧!")
                                    elif data["label"] =="掉落物":
                                        if  daguai or wakuang or caiji:

                                            已经_F了 = False
                                            logger.info("发现有掉落物.顺手捡一下吧!")
                                        else:
                                            continue

                                    else:
                                        continue
                                    set_angle(0, get_angle(self.centre_point, (data["x"], data["y"])))
                                    state.计时_未寻路 = int(time.time())
                                    state.状态_寻路中 = False
                                    state.游戏_打怪前坐标 = copy.copy(state.游戏_当前目标坐标)
                                    state.计数_没找到任何目标 = 0
                                    state.计数_没找到怪物 = 0
                                    pyautogui.keyUp('w')
                                    self.key_w_down = False
                                    state.计数_卡主次数 = 0
                                    state.计次_识别次数 = 0
                                    mouse_left_down()
                                    time.sleep(0.1)
                                    mouse_left_up()
                                    break
                # print("state.计时_未寻路", state.计时_未寻路, "state.计数_没找到任何目标", state.计数_没找到任何目标,
                # "state.计数_没找到怪物", state.计数_没找到怪物)
                # 如果玩家突然不见了,说明正在快速下落的概率很大,则开伞

                if state.状态_寻路中 == True and state.状态_在爬墙 == False and isIn_wxl == False:

                    if 计数_没有玩家 >= 3 or (历史_上次玩家高度 / 玩家高度 >= 1.5):

                        计数_没有玩家 = 0
                        ttt = threading.Thread(target=开伞)

                        if state.python_var > 9:
                            ttt.daemon = True
                        else:
                            ttt.setDaemon(True)
                        ttt.start()

                if 计数_没有玩家 == 0:
                    历史_上次玩家高度 = copy.copy(玩家高度)
                if state.状态_寻路中 == False:
                    # 如果按下了W键了,并且当前没有任何目标等于4次了,则松开w键
                    if state.计数_没找到任何目标 == 6:
                        self.key_w_down = False
                        state.计次_识别次数 = 0
                        state.计数_卡主次数 = 0
                        pyautogui.keyUp('w')
                    if state.计次_定位失败 > 0:
                        state.计数_没找到怪物 = 0

                    if state.ON_LIANZHAOBUJIANCE==0 and wakuang==False and state.计数_没找到怪物 >= 25 and state.计次_定位失败 == 0 and state.状态_是否回放中 == True:
                        state.状态_是否回放中 = False
                        tangbaowss.send_msg( "是否回放#@@#假")

                    # 如果连续8次没找到目标,则进行旋转
                    if 20 > state.计数_没找到任何目标 >= 15 or (
                            state.计数_没找到任何目标 >= 1 and state.计数_没找到怪物 >= 10 and state.状态_是否回放中 == True):
                        state.计数_卡主次数 = 0
                        state.计次_识别次数 = 0
                        历史_上次玩家高度 = 0
                        if state.计数_没找到任何目标 == 15:
                            if state.计次_定位失败 == 0:
                                if state.状态_是否回放中 == False:
                                    logger.info("重置视角")
                                    pyautogui.keyUp('w')
                                    self.key_w_down = False
                                    pyautogui.keyDown('x')
                                    time.sleep(0.1)
                                    pyautogui.keyUp('x')
                                    # 重置镜头
                                    mouse_middle_down()
                                    time.sleep(0.2)
                                    mouse_middle_up()

                                    time.sleep(0.3)
                                    mouse_moveR(0, 600)
                                    state.计次_识别次数 = 0
                                    state.计数_卡主次数 = 0
                                else:
                                    state.计数_没找到任何目标 = 0
                            else:
                                state.计数_没找到任何目标 = 0
                        else:

                            mouse_moveR(700, 0)
                            time.sleep(0.1)

                    elif state.计数_没找到任何目标 == 13 and state.状态_是否回放中 == False:
                        mouse_moveR(0, 800)
                        time.sleep(0.1)
                    elif state.计数_没找到任何目标 == 10 and state.状态_是否回放中 == False:
                        if not 已经_F了:
                            pyautogui.keyDown('shift')
                            time.sleep(0.2)
                            pyautogui.keyUp('shift')


                    # 如果连续18次没找到目标,则继续寻路X
                    elif state.计数_没找到任何目标 >= 20:
                        if  not state.状态_是否回放中:
                            logger.info("附近没有怪和采集物了.继续寻路吧!")
                            state.状态_是否回放中 = False
                            tangbaowss.send_msg( "是否回放#@@#假")
                            state.状态_寻路中 = True
                            state.计次_识别次数 = 0
                            state.计数_卡主次数 = 0
                            state.计数_没找到任何目标 = 0
                            mouse_left_up()
                            pyautogui.keyUp('w')
                            continue

                    time_now=time.time()
                    if time_now-state.计时_未寻路 >= state.TIMEOUT_DAGUAI:



                        kkk = self.处理异常情况(hwnd, left, top, right, bottom, p_left, p_top)
                        if kkk == 0:
                            logger.info("在意外界面 超时!")
                            time.sleep(3)
                            state.状态_检测中 = False
                            state.状态_已经有寻路了 = False
                            state.状态_需重新传送 = False
                            state.计次_移动停滞 = 1200
                            state.计次_定位失败 = 1200
                            state.状态_是否回放中 = False
                            state.计数_没找到任何目标 = 0
                            return False
                        elif kkk == -1:
                            logger.info("全军覆没了!")
                            time.sleep(3)
                            state.计次_移动停滞 = 1200
                            state.计次_定位失败 = 1200
                            state.状态_是否回放中 = False
                            state.计数_没找到任何目标 = 0
                            state.状态_检测中 = False
                            state.状态_已经有寻路了 = False
                            state.状态_需重新传送 = True
                            return False
                        if state.计时_未寻路 != 0:

                            logger.info("附近可能还有怪,但是打不到.继续寻路吧!")
                            state.状态_是否回放中 = False
                            tangbaowss.send_msg( "是否回放#@@#假")
                            state.状态_寻路中 = True

                            state.计数_卡主次数 = 0
                            mouse_left_up()
                            pyautogui.keyUp('w')
                            state.计数_没找到任何目标 = 0
                            state.游戏_打怪前坐标 = [0, 0]
                            time.sleep(5)
                        else:

                            state.状态_是否回放中 = False
                            tangbaowss.send_msg("是否回放#@@#假")
                            state.状态_寻路中 = True

                            state.计数_卡主次数 = 0
                            mouse_left_up()
                            pyautogui.keyUp('w')
                            state.计数_没找到任何目标 = 0
                            state.游戏_打怪前坐标 = [0, 0]
                        continue
                    elif time_now-state.计时_未寻路 == state.TIMEOUT_DAGUAI-15  and state.状态_是否回放中==False and state.计数_没找到怪物>=1:
                        mouse_left_up()
                        logger.info("可能是有矿石 连招中....")
                        if random.randint(1,3)==2:
                            pyautogui.press("x")
                        state.状态_是否回放中 = True
                        tangbaowss.send_msg( "脚本执行#@@#2")
                    elif state.TIMEOUT_DAGUAI//2<= time_now-state.计时_未寻路 >= state.TIMEOUT_DAGUAI//2-10 and state.状态_是否回放中==False and state.计数_没找到怪物==0:
                        mouse_left_up()
                        logger.info("可能是飞行物 连招中....")
                        if random.randint(1,3)==2:
                            pyautogui.press("x")
                        state.状态_是否回放中 = True
                        tangbaowss.send_msg( "脚本执行#@@#2")


            except:
                time.sleep(0.5)
                logger.error(traceback.format_exc())
    def run_fuben(self, cishu=99, isFanxiang=False):
        global loop
        state.状态_已经有寻路了 = True
        # 获取窗口句柄
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
        set_window_activate(hwnd)
        while True:
            if state.状态_循环开关 == False:
                logger.info("强制退出!")
                pyautogui.keyUp('w')
                state.状态_已经有寻路了 = False
                state.状态_是否回放中 = False
                tangbaowss.send_msg( "是否回放#@@#假")
                state.状态_需重新传送 = False
                return False
            if get_window_handle_at_mouse_position() == hwnd:
                break

        rect = win32gui.GetWindowRect(hwnd)
        w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
        # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)
        left, top, right, bottom = 0, 0, 1920, 1080  # 替换成你实际的区域坐标

        p_left = rect[0] + w_p
        p_top = rect[1] + h_p



        paimeng_img = cv2.imdecode(np.fromfile(file="./datas/派蒙.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        kkk = self.处理异常情况(hwnd, left, top, right, bottom, p_left, p_top)
        if kkk == 0:
            logger.info("在意外界面 超时!")
            time.sleep(3)
            state.状态_需重新传送 = False
            state.状态_已经有寻路了 = False
            return False
        elif kkk == -1:
            logger.info("全军覆没了!")
            time.sleep(3)
            state.状态_需重新传送 = True
            state.状态_已经有寻路了 = False
            return False


        计数_没有玩家 = 0
        jiaoben = (os.path.abspath(os.path.join(state.PATH_JIAOBEN, state.LIANZHAO)))
        # 临时发送消息给指定客户端
        message = f"解析脚本#@@#{jiaoben}"
        tangbaowss.send_msg(message)
        try:
            # 往前走或者往后走,直到找到 F
            if not self.find_f_keep_going(hwnd, left, top, right, bottom, p_left, p_top,
                                          isFanxiang): state.状态_需重新传送 = True;return False
            # 点击 单人挑战
            if not self.click_danrentiaozhan(hwnd, left, top, right, bottom, p_left,
                                             p_top): state.状态_需重新传送 = True;return False
            # 判断弹窗是否有树脂不够提醒
            if self.find_shuzhibugou(hwnd, left, top, right, bottom, p_left, p_top):
                pyautogui.keyDown('esc')
                time.sleep(0.1)
                pyautogui.keyUp('esc')
                time.sleep(2)
                pyautogui.keyDown('esc')
                time.sleep(0.1)
                pyautogui.keyUp('esc')

                state.状态_已经有寻路了 = False
                logger.info("没体力了 成功退出副本!")
                time.sleep(10)
                state.状态_需重新传送 = False
                return True
            # 如果没提醒则选择阵容
            if not self.click_kaishitiaozhan(hwnd, left, top, right, bottom, p_left, p_top):
                pyautogui.keyDown('esc')
                time.sleep(0.1)
                pyautogui.keyUp('esc')
                state.状态_需重新传送 = True
                state.状态_已经有寻路了 = False
                return False
            # 开始yolov自动进入副本
        except:
            time.sleep(0.5)
            logger.error(traceback.format_exc())
            state.状态_需重新传送 = True
            state.状态_已经有寻路了 = False
            return False
        # 0 镜头对准北方向 走过去开副本
        # 1 开始打怪阶段
        # 2 打完了  开始找生命树 并且把自己移动到0° 对准生命树的位置
        # 3 走路到 领取奖励  直到点击 继续挑战为止 完成一轮
        阶段 = 0
        计次_阶段0 = 0
        计时_阶段3_开始时间 = 0
        state.计数_没找到怪物=0
        isinF = False
        for i in range(cishu):
            logger.info(f"刷副本中  {i + 1}/{cishu}")
            while True:
                try:
                    time.sleep(0.01)
                    if state.状态_循环开关 == False:
                        state.状态_是否回放中 = False
                        tangbaowss.send_msg( "是否回放#@@#假")
                        state.状态_需重新传送 = False
                        state.状态_已经有寻路了 = False
                        return False

                    rect = win32gui.GetWindowRect(hwnd)
                    w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
                    # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)
                    left, top, right, bottom = 0, 0, 1920, 1080  # 替换成你实际的区域坐标

                    p_left = rect[0] + w_p
                    p_top = rect[1] + h_p


                    if state.状态_全局暂停:
                        tangbaowss.send_msg( "是否回放#@@#假")
                        time.sleep(2)
                        continue
                    if get_window_handle_at_mouse_position() != hwnd:
                        # 激活hwnd
                        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                        set_window_activate(hwnd)
                    # 设定保存截图的文件夹路径和文件名前缀
                    # filename = f"./datas/lanrenyolov{random.randint(1, 20)}.jpg"
                    # 游戏全图
                    ret_scr = screenshot(hwnd, left, top, right, bottom, filename=None)
                    if type(ret_scr) == bool:
                        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                        logger.info("截图失败了!可能是内存溢出了")
                        time.sleep(2)
                        continue
                    # 这里是小地图的截图
                    left_small, top_small, right_small, bottom_small = self.小地图区域  # 替换成你实际的区域坐标
                    height_small = bottom_small - top_small
                    width_small = right_small - left_small
                    small_img = screenshot(hwnd, left_small, top_small, right_small, bottom_small,
                                           filename=None)  # RGBA
                    if type(small_img) == bool:
                        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                        time.sleep(2)
                        continue
                    state.游戏_当前视野角度 = get_view2(small_img[int(height_small / 2) - 70:int(height_small / 2) + 70,
                                                        int(width_small / 2) - 70:int(width_small / 2) + 70], 70)
                    # -----------------------------YOLOV检测--------------------------------------------------
                    datas, state.图片_YOLOV = self.yolov.detect(ret_scr, plot_box=state.开关_是否展预测结果)
                    if state.开关_是否展预测结果:
                        state.QT_信号.mysig_show_yolov.emit()

                    if state.状态_全局暂停:
                        tangbaowss.send_msg( "是否回放#@@#假")
                        time.sleep(2)
                        continue
                    if datas == []:
                        pass
                    else:
                        # 将离屏幕中心最近的点排在前面
                        datas = sorted(datas, key=self.distance_to_target)
                        if 阶段 == 0:  # 0 镜头对准北方向 走过去开副本
                            计次_阶段0 += 1
                            if 计次_阶段0 >= 2000:
                                pyautogui.keyDown('esc')
                                time.sleep(0.1)
                                pyautogui.keyUp('esc')
                                time.sleep(1)
                                state.状态_已经有寻路了 = False
                                logger.info("没体力了 成功退出副本!")
                                time.sleep(10)
                                state.状态_需重新传送 = False
                                return True

                            isIn, idex = find_dict_index(datas, 'label', '提示关闭')
                            if isIn:  # 路过的顺手捡了
                                logger.info("发现 提示关闭")
                                mouse_move(p_left + datas[idex]["x"], p_top + datas[idex]["y"])
                                time.sleep(0.2)
                                mouse_left_down()
                                time.sleep(0.2)
                                mouse_left_up()
                                time.sleep(1)
                                continue

                            if self.click_dimaiyichang(hwnd, left, top, right, bottom, p_left, p_top):
                                time.sleep(1)
                                continue

                            if not set_angle(state.游戏_当前视野角度, 90, fault=5):
                                logger.info("调整整好")
                                # 角度对了 开始一路往前走 直到找到F按钮
                                pyautogui.keyDown("w")
                                if not self.find_f_keep_going(hwnd, left, top, right, bottom, p_left, p_top,
                                                              False): continue
                                pyautogui.keyUp("w")
                                阶段 = 1
                            isIn, idex = find_dict_index(datas, 'label', '确定')
                            isIn2, idex = find_dict_index(datas, 'label', '取消')
                            # 判断弹窗是否有树脂不够提醒  如果发现 则点击退出返回 阶段4走起
                            if isIn or isIn2:
                                pyautogui.keyDown('esc')
                                time.sleep(0.1)
                                pyautogui.keyUp('esc')
                                time.sleep(1)
                                state.状态_已经有寻路了 = False
                                logger.info("没体力了 成功退出副本!")
                                time.sleep(10)
                                state.状态_需重新传送 = True
                                return True
                        elif 阶段 == 1:  # 1 开始打怪阶段
                            isinF = False
                            计次_阶段0 = 0
                            # 判断是否打完了副本
                            isIn, idex = find_dict_index(datas, 'label', '副本打完了')
                            #or self.find_zidongtuichu(hwnd, 745,905,1206,1002, p_left, p_top)
                            if isIn :
                                if idex!=None:
                                    if datas[idex]["sim"]>0.75:
                                        self.key_w_down = False
                                        pyautogui.keyUp('w')
                                        mouse_left_up()
                                        state.状态_是否回放中 = False
                                        tangbaowss.send_msg( "是否回放#@@#假")
                                        logger.info("打完了")
                                        time.sleep(2)
                                        # 重置镜头
                                        mouse_middle_down()
                                        time.sleep(0.1)
                                        mouse_middle_up()
                                        阶段 = 2
                                        continue
                                else:
                                    self.key_w_down = False
                                    pyautogui.keyUp('w')
                                    mouse_left_up()
                                    state.状态_是否回放中 = False
                                    tangbaowss.send_msg( "是否回放#@@#假")
                                    logger.info("打完了")
                                    time.sleep(2)
                                    # 重置镜头
                                    mouse_middle_down()
                                    time.sleep(0.1)
                                    mouse_middle_up()
                                    阶段 = 2
                                    continue

                            isIn, idex = find_dict_index(datas, 'label', '往上跳')
                            if isIn:
                                logger.info("尝试跳起来")
                                pyautogui.keyDown('space')
                                time.sleep(0.1)
                                pyautogui.keyUp('space')

                            isIn, idex = find_dict_index(datas, 'label', '被控了')
                            if isIn:
                                logger.info("被控了!")
                                pyautogui.keyDown('space')
                                time.sleep(0.1)
                                pyautogui.keyUp('space')
                                time.sleep(0.1)
                                pyautogui.keyDown('space')
                                time.sleep(0.1)
                                pyautogui.keyUp('space')
                                time.sleep(0.1)
                                pyautogui.keyDown('space')
                                time.sleep(0.1)
                                pyautogui.keyUp('space')
                                time.sleep(0.1)
                                pyautogui.keyDown('space')
                                time.sleep(0.1)
                                pyautogui.keyUp('space')
                            isIn, idex = find_dict_index(datas, 'label', '确定')
                            if isIn:

                                tangbaowss.send_msg( "是否暂停#@@#真")
                                time.sleep(0.2)
                                mouse_move(p_left + datas[idex]["x"], p_top + datas[idex]["y"])
                                logger.info(f"发现确定按钮,可能是吃复活药{datas[idex]}")
                                time.sleep(0.1)
                                mouse_left_down()
                                time.sleep(0.1)
                                mouse_left_up()
                                time.sleep(0.5)
                                ret_scr = screenshot(hwnd, left, top, right, bottom, filename=None)
                                datas, state.图片_YOLOV = self.yolov.detect(ret_scr, plot_box=state.开关_是否展预测结果)
                                isIn, idex = find_dict_index(datas, 'label', '确定')
                                tangbaowss.send_msg( "是否暂停#@@#假")
                                if not isIn:
                                    logger.info("停止脚本")
                                    tangbaowss.send_msg( "是否回放#@@#假")
                            isIn, idex = find_dict_index(datas, 'label', '取消')
                            if isIn:

                                tangbaowss.send_msg( "是否暂停#@@#真")
                                time.sleep(0.2)
                                mouse_move(p_left + datas[idex]["x"], p_top + datas[idex]["y"])
                                logger.info(f"发现取消按钮,可能是吃复活药{datas[idex]}")
                                time.sleep(0.2)
                                mouse_left_down()
                                time.sleep(0.2)
                                mouse_left_up()
                                time.sleep(0.3)
                                pyautogui.keyDown('shift')
                                time.sleep(0.2)
                                pyautogui.keyUp('shift')
                                tangbaowss.send_msg( "是否暂停#@@#假")
                                ret_scr = screenshot(hwnd, left, top, right, bottom, filename=None)
                                datas, state.图片_YOLOV = self.yolov.detect(ret_scr, plot_box=state.开关_是否展预测结果)
                            isIn, idex = find_dict_index(datas, 'label', '怪物')
                            if not isIn:
                                state.计数_没找到怪物+=1
                                if random.randint(1, 50) == 2:
                                    mouse_middle_down()
                                    time.sleep(0.2)
                                    mouse_middle_up()
                                if state.计数_没找到怪物>=20:
                                    tangbaowss.send_msg( "是否回放#@@#假")
                                    state.状态_是否回放中 = False
                                    pyautogui.keyUp('w')
                                    self.key_w_down=False
                                    mouse_moveR(int(6 * 120), 0)
                                    time.sleep(0.1)

                                if template_matching(ret_scr, paimeng_img, mask=None) != []:
                                    logger.info("全军覆没了!跳重试该任务!")
                                    state.状态_需重新传送 = True
                                    state.状态_已经有寻路了 = False
                                    return False
                            else:
                                state.计数_没找到怪物=0

                                for data in datas:
                                    # 将它的中心点和游戏正中间进行靠近
                                    if data["label"] == "怪物":
                                        set_angle(0, get_angle(self.centre_point, (data["x"], data["y"])))
                                        # 如果怪物就再旁边则直接连招
                                        if self.centre_point[1] - data["points"][1][1] <= 80 and data["points"][1][0] - \
                                                data["points"][0][0] >= 90:
                                            if self.key_w_down:
                                                self.key_w_down = False
                                                pyautogui.keyUp('w')
                                            if not state.状态_是否回放中:
                                                logger.info("在连招中....")
                                                pyautogui.press("x")
                                                state.状态_是否回放中 = True
                                                tangbaowss.send_msg( "脚本执行#@@#2")
                                        else:
                                            # 不在则继续跟着怪物方向走
                                            pyautogui.keyDown('w')
                                            self.key_w_down = True
                                        break
                        elif 阶段 == 2:  # 2 打完了  开始找生命树 并且把自己移动到0° 对准生命树的位置
                            调整视角 = set_angle(state.游戏_当前视野角度, 90, fault=6)
                            发现了目标了 = False
                            isIn, idex = find_dict_index(datas, 'label', '生命树')
                            for data in datas:
                                if data["label"] == "生命树":
                                    发现了目标了 = True
                                    x_p = data["x"] - self.centre_point[0]
                                    if x_p >= 16:
                                        pyautogui.keyUp('a')
                                        logger.info("树偏右边 按下D键")
                                        pyautogui.keyDown('d')
                                    elif x_p <= -16:
                                        pyautogui.keyUp('d')
                                        logger.info("树偏左边 按下A键")
                                        pyautogui.keyDown('a')
                                    else:
                                        if 调整视角 == False:
                                            pyautogui.keyUp('d')
                                            pyautogui.keyUp('a')
                                            logger.info("树正对,走起!")
                                            pyautogui.keyDown('w')
                                            阶段 = 3
                                            计时_阶段3_开始时间 = time.time()
                                            break
                                        logger.info("树正对 但是角度还不对")
                                elif data["label"] == "副本楼梯":
                                    发现了目标了 = True
                                    x_p = data["x"] - self.centre_point[0]
                                    if x_p >= 16:
                                        pyautogui.keyUp('a')
                                        logger.info("副本楼梯偏右边 按下D键")
                                        pyautogui.keyDown('d')
                                    elif x_p <= -16:
                                        pyautogui.keyUp('d')
                                        logger.info("副本楼梯偏左边 按下A键")
                                        pyautogui.keyDown('a')
                                    else:
                                        if 调整视角 == False:
                                            pyautogui.keyUp('d')
                                            pyautogui.keyUp('a')
                                            logger.info("副本楼梯正对,走起!")
                                            pyautogui.keyDown('w')
                                            阶段 = 3
                                            计时_阶段3_开始时间=time.time()
                                            break
                                        logger.info("副本楼梯正对 但是角度还不对")
                                elif data["label"] == "副本门框" and isIn == False:
                                    发现了目标了 = True
                                    x_p = data["x"] - self.centre_point[0]
                                    if x_p >= 16:
                                        pyautogui.keyUp('a')
                                        logger.info("副本门框偏右边 按下D键")
                                        pyautogui.keyDown('d')
                                    elif x_p <= -16:
                                        pyautogui.keyUp('d')
                                        logger.info("副本门框偏左边 按下A键")
                                        pyautogui.keyDown('a')
                            if 阶段 == 3:
                                continue
                            if 发现了目标了 == False:
                                rrrr = random.randint(1, 20)
                                if rrrr == 1:
                                    pyautogui.keyDown('s')
                                    pyautogui.keyDown('a')
                                    pyautogui.keyDown('space')
                                    time.sleep(0.1)
                                    pyautogui.keyUp('space')
                                    time.sleep(0.2)
                                    pyautogui.keyUp('a')
                                    pyautogui.keyUp('s')
                                elif rrrr == 2:
                                    pyautogui.keyDown('s')
                                    pyautogui.keyDown('a')
                                    pyautogui.keyDown('space')
                                    time.sleep(0.1)
                                    pyautogui.keyUp('space')
                                    time.sleep(0.2)
                                    pyautogui.keyUp('a')
                                    pyautogui.keyUp('s')
                                elif rrrr == 3:
                                    pyautogui.keyDown('w')
                                    pyautogui.keyDown('a')
                                    pyautogui.keyDown('space')
                                    time.sleep(0.1)
                                    pyautogui.keyUp('space')
                                    time.sleep(0.2)
                                    pyautogui.keyUp('a')
                                    pyautogui.keyUp('w')
                                elif rrrr == 4:
                                    pyautogui.keyDown('w')
                                    pyautogui.keyDown('d')
                                    pyautogui.keyDown('space')
                                    time.sleep(0.1)
                                    pyautogui.keyUp('space')
                                    time.sleep(0.2)
                                    pyautogui.keyUp('d')
                                    pyautogui.keyUp('w')
                                else:
                                    pyautogui.keyDown('s')
                                    time.sleep(0.1)
                                    pyautogui.keyUp('s')
                        elif 阶段 == 3:  # 3 走路到 领取奖励  直到点击 继续挑战为止 完成一轮
                            pyautogui.keyDown('w')
                            isIn, idex = find_dict_index(datas, 'label', 'F交互')
                            if isIn:  # 路过的顺手捡了
                                logger.info("发现 F 交互")
                                pyautogui.keyDown('f')
                                time.sleep(0.1)
                                pyautogui.keyUp('f')
                                isinF = True
                                continue

                            isIn, idex = find_dict_index(datas, 'label', '捡东西')
                            if isIn:  # 路过的顺手捡了
                                logger.info("发现 F 交互")
                                pyautogui.keyDown('f')
                                time.sleep(0.1)
                                pyautogui.keyUp('f')
                                isinF = True
                                continue

                            isIn, idex = find_dict_index(datas, 'label', '生命树')
                            if isIn and isinF==False :  # 路过的顺手捡了
                                set_angle(0, get_angle(self.centre_point, (datas[idex]["x"], datas[idex]["y"])))


                            isIn, idex = find_dict_index(datas, 'label', '使用浓缩树脂')
                            if isIn:  # 路过的顺手捡了
                                if datas[idex]['sim'] > 0.8:
                                    logger.info("发现 使用浓缩树脂")

                                    logger.info(str(datas[idex]))
                                    mouse_move(p_left + datas[idex]["x"], p_top + datas[idex]["y"])
                                    time.sleep(0.2)
                                    mouse_left_down()
                                    time.sleep(0.2)
                                    mouse_left_up()
                                    time.sleep(0.5)
                                    continue
                            isIn, idex = find_dict_index(datas, 'label', '使用原粹树脂')
                            if isIn:  # 路过的顺手捡了
                                if datas[idex]['sim'] > 0.8:
                                    logger.info("发现 使用原粹树脂")
                                    logger.info(str(datas[idex]))
                                    mouse_move(p_left + datas[idex]["x"], p_top + datas[idex]["y"])
                                    time.sleep(0.2)
                                    mouse_left_down()
                                    time.sleep(0.2)
                                    mouse_left_up()
                                    time.sleep(0.5)
                                    continue
                            isIn, idex = find_dict_index(datas, 'label', '继续挑战')

                            if isIn or self.find_jixutiaozhan(hwnd, 953,923,1432,1065, p_left, p_top):  # 路过的顺手捡了
                                if idex!=None:
                                    if datas[idex]['sim'] > 0.75:
                                        logger.info("发现 继续挑战")
                                        mouse_move(p_left + 1178, p_top + 1006)
                                        time.sleep(0.2)
                                        mouse_left_down()
                                        time.sleep(0.2)
                                        mouse_left_up()
                                        time.sleep(0.5)
                                        mouse_left_down()
                                        time.sleep(0.2)
                                        mouse_left_up()
                                        time.sleep(2)

                                        # 判断弹窗是否有树脂不够提醒  如果发现 则点击退出返回 阶段4走起
                                        if self.find_shuzhibugou2(hwnd, left, top, right, bottom, p_left, p_top):
                                            pyautogui.keyDown('esc')
                                            time.sleep(0.1)
                                            pyautogui.keyUp('esc')
                                            time.sleep(1)
                                            state.状态_已经有寻路了 = False
                                            logger.info("没体力了 成功退出副本!")
                                            time.sleep(10)
                                            state.状态_需重新传送 = False
                                            return True

                                        else:
                                            isinF = False
                                            阶段 = 0
                                            break

                                else:

                                    logger.info("发现 继续挑战")
                                    mouse_move(p_left + 1178, p_top + 1006)
                                    time.sleep(0.2)
                                    mouse_left_down()
                                    time.sleep(0.2)
                                    mouse_left_up()
                                    time.sleep(0.5)
                                    mouse_left_down()
                                    time.sleep(0.2)
                                    mouse_left_up()
                                    time.sleep(2)

                                    # 判断弹窗是否有树脂不够提醒  如果发现 则点击退出返回 阶段4走起
                                    if self.find_shuzhibugou2(hwnd, left, top, right, bottom, p_left, p_top):
                                        pyautogui.keyDown('esc')
                                        time.sleep(0.1)
                                        pyautogui.keyUp('esc')
                                        time.sleep(1)
                                        state.状态_已经有寻路了 = False
                                        logger.info("没体力了 成功退出副本!")
                                        time.sleep(10)
                                        state.状态_需重新传送 = False
                                        return True

                                    else:
                                        isinF = False
                                        阶段 = 0
                                        break
                            if time.time() - 计时_阶段3_开始时间 > 30:
                                rand_cz = random.randint(0, 4)
                                if rand_cz == 0:
                                    pyautogui.keyDown('x')
                                    time.sleep(0.3)
                                    pyautogui.keyUp('x')
                                    pyautogui.keyUp('w')
                                    pyautogui.keyDown('d')
                                    time.sleep(0.5)
                                    pyautogui.keyUp('d')
                                    pyautogui.keyDown('w')
                                elif rand_cz == 1:
                                    pyautogui.keyDown('x')
                                    time.sleep(0.3)
                                    pyautogui.keyUp('x')
                                    pyautogui.keyUp('w')
                                    pyautogui.keyDown('a')
                                    time.sleep(0.5)
                                    pyautogui.keyUp('a')
                                    pyautogui.keyDown('w')
                                elif rand_cz == 2:
                                    pyautogui.keyDown('x')
                                    time.sleep(0.3)
                                    pyautogui.keyUp('x')
                                elif rand_cz == 3:
                                    pyautogui.keyDown('x')
                                    time.sleep(0.3)
                                    pyautogui.keyUp('x')
                                    pyautogui.keyUp('w')
                                    pyautogui.keyDown('s')
                                    time.sleep(3)
                                    pyautogui.keyUp('s')
                                    pyautogui.keyDown('w')
                                else:
                                    pyautogui.keyDown('space')
                                    time.sleep(0.3)
                                    pyautogui.keyDown('space')
                                计时_阶段3_开始时间 = time.time()

                except:
                    logger.error(traceback.format_exc())
                    time.sleep(0.5)

        state.状态_已经有寻路了 = False
        logger.info("刷副本全部完成!")
    def run_chuansongjiaoben(self, jiaoben,cbb_address="手动录制"):
        global new_msg
        try:
            hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄

            if state.状态_循环开关 == False:
                tangbaowss.send_msg( "是否回放#@@#假")
                logger.info("强制退出!")
                return False
            if get_window_handle_at_mouse_position() == hwnd:
                set_window_activate(hwnd)
                time.sleep(0.2)
            rect = win32gui.GetWindowRect(hwnd)
            w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
            p_left = rect[0] + w_p
            p_top = rect[1] + h_p
            set_window_activate(hwnd)
            if cbb_address=="手动录制":
                kkk = self.处理异常情况(hwnd, 0, 0, 1920, 1080, p_left, p_top)
                if kkk == 0:
                    logger.info("在意外界面 超时!")
                    time.sleep(3)
                    state.状态_需重新传送 = False
                    state.状态_已经有寻路了 = False
                    return False
                elif kkk == -1:
                    logger.info("全军覆没了!")
                    time.sleep(3)
                    state.状态_需重新传送 = True
                    state.状态_已经有寻路了 = False
                    return False
            # 临时发送消息给指定客户端
            message = f"解析脚本#@@#{jiaoben}"

            tangbaowss.send_msg(message)
            time.sleep(2)
            state.状态_是否回放中 = True
            tangbaowss.send_msg( "脚本执行#@@#1")
            while True:
                try:
                    time.sleep(0.1)
                    if state.状态_是否回放中 == False:
                        state.状态_需重新传送 = False
                        return True

                    if state.状态_循环开关 == False:
                        state.状态_需重新传送 = False
                        tangbaowss.send_msg( "是否回放#@@#假")
                        return False
                    if get_window_handle_at_mouse_position() != hwnd:
                        # 激活hwnd
                        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                        set_window_activate(hwnd)
                        time.sleep(0.2)
                except:
                    time.sleep(0.5)
        except:
            logger.error(traceback.format_exc())
            state.状态_需重新传送 = False
            tangbaowss.send_msg( "是否回放#@@#假")
            return False
    def run_jiaoben(self,jiaoben,is_auto_f):

        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
        rect = win32gui.GetWindowRect(hwnd)
        w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
        # F交互框位置
        left_dh, top_dh, right_dh, bottom_dh = [1161, 508, 1319, 572]  # 替换成你实际的区域坐标

        p_left = rect[0] + w_p
        p_top = rect[1] + h_p
        set_window_activate(hwnd)

        if state.状态_循环开关 == False:
            logger.info("强制退出!")
            state.状态_已经有寻路了 = False
            return False
        message = f"解析脚本#@@#{jiaoben}"
        tangbaowss.send_msg(message)
        time.sleep(2)
        tangbaowss.send_msg( "脚本执行#@@#1")
        state.状态_是否回放中 = True
        try:
            while True:

                try:
                    time.sleep(0.1)
                    if state.状态_是否回放中 == False:
                        state.状态_需重新传送 = False
                        state.状态_已经有寻路了 = False
                        logger.info("脚本运行完毕!")
                        return True
                    if state.状态_循环开关 == False:
                        state.状态_需重新传送 = False
                        state.状态_已经有寻路了 = False
                        tangbaowss.send_msg( "是否回放#@@#假")
                        logger.info("强制退出!")
                        return False
                    if get_window_handle_at_mouse_position() != hwnd:
                        # 激活hwnd
                        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                        set_window_activate(hwnd)
                        time.sleep(0.2)
                    if is_auto_f:
                        if self.find_f(hwnd, 1050, 424, 1187, 648, p_left, p_top):
                            time.sleep(0.2)
                            if not self.find_duihuahuopengren(hwnd, left_dh, top_dh, right_dh, bottom_dh, p_left,
                                                              p_top) or self.find_pianpianhua(hwnd, left_dh, top_dh,
                                                                                              right_dh, bottom_dh, p_left,
                                                                                              p_top):
                                logger.info(f"顺手捡东西!")
                                state.状态_有目标 = True
                                pyautogui.keyDown('f')
                                time.sleep(0.1)
                                pyautogui.keyUp('f')
                                time.sleep(0.1)
                                pyautogui.keyDown('f')
                                time.sleep(0.1)
                                pyautogui.keyUp('f')



                except:
                    time.sleep(0.5)

        except:
            logger.error(traceback.format_exc())
            state.状态_需重新传送 = False
            state.状态_已经有寻路了 = False
            tangbaowss.send_msg( "是否回放#@@#假")
            return False
    def run_jixing(self):
        '''
        领取纪行奖励
        :return:
        '''

        global new_msg
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
        rect = win32gui.GetWindowRect(hwnd)
        w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
        # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)
        left, top, right, bottom = 0, 0, 1920, 1080  # 替换成你实际的区域坐标

        p_left = rect[0] + w_p
        p_top = rect[1] + h_p
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
        set_window_activate(hwnd)
        time.sleep(0.2)
        paimeng_img = cv2.imdecode(np.fromfile(file="./datas/派蒙.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        big_img = screenshot(hwnd, left, top, right, bottom, None)
        if template_matching(big_img, paimeng_img, mask=None) == []:
            pyautogui.keyDown("esc")
            time.sleep(0.1)
            pyautogui.keyUp("esc")

            time.sleep(2)
        pyautogui.keyDown('alt')
        if not self.click_jixing(hwnd, left, top, right, bottom, p_left, p_top):  logger.info(
            "没有纪行要领取");pyautogui.keyUp('alt');return
        time.sleep(1)
        pyautogui.keyUp('alt')
        time.sleep(2)
        mouse_move(p_left + 962, p_top + 52)
        time.sleep(0.2)
        mouse_left_down()
        time.sleep(0.2)
        mouse_left_up()
        if not self.click_jixing_yijianlingqu(hwnd, left, top, right, bottom, p_left, p_top):  logger.info(
            "领取纪行任务经验失败");return
        time.sleep(1)
        mouse_move(p_left + 863, p_top + 55)
        time.sleep(0.2)
        mouse_left_down()
        time.sleep(0.2)
        mouse_left_up()
        time.sleep(1)
        mouse_left_down()
        time.sleep(0.2)
        mouse_left_up()
        time.sleep(1)
        if not self.click_jixing_yijianlingqu(hwnd, left, top, right, bottom, p_left, p_top):  logger.info(
            "没有奖励能领取");return
        time.sleep(1)
        mouse_left_down()
        time.sleep(0.2)
        mouse_left_up()
        time.sleep(1)
        pyautogui.keyDown("esc")
        time.sleep(0.1)
        pyautogui.keyUp("esc")
    def run_huanjue(self,path_list=[],zhanchagn="1"):
        global new_msg
        state.状态_检测中 = False
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
        rect = win32gui.GetWindowRect(hwnd)
        w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
        # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)
        left, top, right, bottom = 0, 0, 1920, 1080  # 替换成你实际的区域坐标

        p_left = rect[0] + w_p
        p_top = rect[1] + h_p
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
        set_window_activate(hwnd)
        time.sleep(0.2)
        kkk = self.处理异常情况(hwnd, left, top, right, bottom, p_left, p_top)
        if kkk == 0:
            logger.info("在意外界面 超时!")
            time.sleep(3)
            state.状态_检测中 = False
            state.状态_已经有寻路了=False
            state.状态_需重新传送 = False
            return False
        elif kkk == -1:
            logger.info("全军覆没了!")
            time.sleep(3)
            state.状态_检测中 = False
            state.状态_已经有寻路了 = False
            state.状态_需重新传送 = True
            return False

        #按了后看有没有打开成功
        n=0
        while True:

            if n==0:
                n=0
                kkk = self.处理异常情况(hwnd, left, top, right, bottom, p_left, p_top)
                if kkk == 0:
                    logger.info("在意外界面 超时!")
                    time.sleep(3)
                    state.状态_检测中 = False
                    state.状态_已经有寻路了 = False
                    state.状态_需重新传送 = False
                    return False
                elif kkk == -1:
                    logger.info("全军覆没了!")
                    time.sleep(3)
                    state.状态_检测中 = False
                    state.状态_已经有寻路了 = False
                    state.状态_需重新传送 = True
                    return False
                pyautogui.keyDown("x")
                time.sleep(0.2)
                pyautogui.keyUp("x")
                pyautogui.keyDown("l")
                time.sleep(0.2)
                pyautogui.keyUp("l")
                time.sleep(2)

            elif n>=20:
                n = 0

            time.sleep(1)
            if state.状态_循环开关 == False:
                state.状态_需重新传送 = False
                state.状态_已经有寻路了 = False
                tangbaowss.send_msg( "是否回放#@@#假")
                logger.info("强制退出!")
                return False
            if get_window_handle_at_mouse_position() != hwnd:
                # 激活hwnd
                hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                set_window_activate(hwnd)
                time.sleep(0.2)

            if state.状态_全局暂停:
                tangbaowss.send_msg( "是否回放#@@#假")
                time.sleep(2)
                continue
            if self.click_kuaisubiandui(hwnd, left, top, right, bottom , p_left, p_top):
                time.sleep(2)
                break
            n += 1

        #加载角色图片数据
        img_datas=[]
        point_list=[[96,189],
                    [255,198],
                    [404,200],
                    [568,190],
                    ]
        for item in path_list:
            img_datas.append( cv2.imdecode(np.fromfile(file=item, dtype=np.uint8),cv2.IMREAD_UNCHANGED))
        #将历史角色清空掉
        for point in point_list:
            #点击对应坑位
            mouse_move(p_left +point[0],p_top +point[1])
            time.sleep(0.2)
            mouse_left_down()
            time.sleep(0.2)
            mouse_left_up()
            time.sleep(0.2)
            if not self.find_baocunpeizhi(hwnd, left, top, right, bottom, p_left, p_top):
                break
        logger.info("清空角色成功!")
        # 循环选择角色
        a = 0
        for i,img in enumerate(img_datas):
            ret =False

            while not ret:

                logger.info(str(a))
                if state.状态_循环开关 == False:
                    state.状态_需重新传送 = False
                    state.状态_已经有寻路了 = False
                    tangbaowss.send_msg( "是否回放#@@#假")
                    logger.info("强制退出!")
                    return False
                if get_window_handle_at_mouse_position() != hwnd:
                    # 激活hwnd
                    hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                    set_window_activate(hwnd)
                    time.sleep(0.2)

                if state.状态_全局暂停:
                    tangbaowss.send_msg( "是否回放#@@#假")
                    time.sleep(2)
                    continue

                ret= find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, f"勾选 角色{i+1}", 1,
                                               1,
                                               threshold=0.76)
                if ret:
                    time.sleep(1)
                    break

                if 5<a<11:
                    pyautogui.moveTo(p_left +342,p_top +415)
                    pyautogui.dragTo(p_left +346,p_top +833, duration=0.5, tween=pyautogui.easeOutSine)

                else:
                    pyautogui.moveTo(p_left +346, p_top +833)
                    pyautogui.dragTo(p_left +342, p_top +415, duration=0.5, tween=pyautogui.easeOutSine)
                a+=1
                if a==11:
                    a=0
                time.sleep(1)




        #保存配置
        mouse_move(p_left +453,p_top +1016)
        time.sleep(0.2)
        mouse_left_down()
        time.sleep(0.2)
        mouse_left_up()

        time.sleep(5)
        if state.状态_循环开关 == False:
            state.状态_需重新传送 = False
            state.状态_已经有寻路了 = False
            tangbaowss.send_msg( "是否回放#@@#假")
            logger.info("强制退出!")
            return False
        pyautogui.keyDown("esc")
        time.sleep(0.1)
        pyautogui.keyUp("esc")
        time.sleep(2)
        pyautogui.keyDown(zhanchagn)
        time.sleep(0.1)
        pyautogui.keyUp(zhanchagn)
        time.sleep(2)
        state.状态_需重新传送 = False
        state.状态_已经有寻路了 = False
        return True
    def 处理异常情况(self,hwnd,left,top,right,bottom,p_left,p_top):
        '''

        :param hwnd:
        :param left:
        :param top:
        :param right:
        :param bottom:
        :param p_left:
        :param p_top:
        :return:
        '''
        paimeng_img = cv2.imdecode(np.fromfile(file="./datas/派蒙.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        # 判断是否卡在了对话界面
        for nnn in range(120):
            if state.状态_循环开关 == False:
                logger.info("强制退出!")
                pyautogui.keyUp('w')
                state.状态_已经有寻路了 = False
                state.状态_是否回放中 = False
                state.状态_检测中=False
                tangbaowss.send_msg( "是否回放#@@#假")
                state.状态_需重新传送 = False
                return 1
            big_img = screenshot(hwnd, left, top, right, bottom, None)
            rrrr = template_matching(big_img, paimeng_img, mask=None)
            if rrrr == []:
                rdd = random.randint(1, 4)
                if rdd == 1:
                    pyautogui.keyDown("x")
                    time.sleep(0.2)
                    pyautogui.keyUp("x")
                    mouse_move(p_left + 1397, p_top + 804)
                    time.sleep(0.2)
                    mouse_left_down()
                    time.sleep(0.2)
                    mouse_left_up()
                    time.sleep(0.2)
                elif rdd == 2:

                    pyautogui.keyDown("esc")
                    time.sleep(0.1)
                    pyautogui.keyUp("esc")
                    time.sleep(1)
                else:

                    pyautogui.keyDown('space')
                    time.sleep(0.1)
                    pyautogui.keyUp('space')
                logger.info("未知界面 按esc 和 点击对话! " + str(nnn))

            # 判断是否死亡
            ret_sw = self.find_zhuyidiren(hwnd, left, top, right, bottom, p_left, p_top)
            if ret_sw:
                state.状态_检测中 = False
                return -1
            else:
                if rrrr != []:

                    return 1
            time.sleep(1)

        return 0
    def find_f_keep_going(self, hwnd, left, top, right, bottom, p_left, p_top, isFanxiang):
        img = cv2.imdecode(np.fromfile(file="./datas/F.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        if isFanxiang:
            keepKey = 's'
        else:
            keepKey = 'w'
        if find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 F", 1000, 0.05, False,
                                   keepKey=keepKey):
            if isFanxiang:
                pyautogui.keyUp('s')
            else:
                pyautogui.keyUp('w')
            pyautogui.keyDown('f')
            time.sleep(0.2)
            pyautogui.keyUp('f')
            time.sleep(0.3)
            pyautogui.keyDown('f')
            time.sleep(0.2)
            pyautogui.keyUp('f')

            return True
        else:
            return False
    def click_danrentiaozhan(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/单人挑战.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 单人挑战")
    def click_dimaiyichang(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/地脉异常.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 地脉异常", 1, 0.01,
                                       threshold=0.76)
    def click_jixing(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/纪行.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        mask = img[:, :, 3]  # 提取透明度通道作为掩码
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 纪行", 10, 1,
                                       threshold=0.76, mask=mask, double_click=True)
    def click_jixing_renwu(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/纪行_任务.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        mask = img[:, :, 3]  # 提取透明度通道作为掩码
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 纪行_任务", 10, 1,
                                       threshold=0.6, mask=mask)
    def click_jixing_yijianlingqu(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/纪行_一键领取.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 纪行_一键领取", 10, 1,
                                       threshold=0.76)
    def click_kuaisubiandui(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/快速编队.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 快速编队", 1, 1,
                                       threshold=0.76)
    def find_baocunpeizhi(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/保存配置.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "查找 保存配置", 1, 1,
                                       threshold=0.76,is_click=False)
    def click_jixing_jixing(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/纪行_纪行.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        mask = img[:, :, 3]  # 提取透明度通道作为掩码
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 纪行_纪行", 10, 1,
                                       threshold=0.76, mask=mask)
    def click_kaishitiaozhan(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/开始挑战.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 开始挑战")
    def find_shuzhibugou(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/树脂不够.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        mask = img[:, :, 3]  # 提取透明度通道作为掩码
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 树脂不够", 3,
                                       threshold=0.65, is_click=False, mask=mask)
    def find_shuzhibugou2(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/收取完成秘境.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        mask = img[:, :, 3]  # 提取透明度通道作为掩码
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "发现 树脂不够", 3,
                                       threshold=0.65, is_click=False, mask=mask)
    def find_zidongtuichu(self, hwnd, left, top, right, bottom, p_left, p_top):

        img = cv2.imdecode(np.fromfile(file="./datas/自动退出.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        mask = img[:, :, 3]  # 提取透明度通道作为掩码
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "发现 自动退出", 1,
                                       threshold=0.65, is_click=False, mask=mask,step=0.001)
    def find_jixutiaozhan(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/继续挑战.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        mask = None  # 提取透明度通道作为掩码
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "发现 继续挑战", 1,
                                       threshold=0.65, is_click=False, mask=mask,step=0.001)
    def find_f(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/f.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        mask =None# img[:, :, 3]  # 提取透明度通道作为掩码
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "寻找 F", 1,step=0.001,
                                       threshold=0.75, is_click=False, mask=mask)
    def find_zhuyidiren(self, hwnd, left, top, right, bottom, p_left, p_top):
        img = cv2.imdecode(np.fromfile(file="./datas/注意敌人.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        return find_img_and_click(img, hwnd, left, top, right, bottom, p_left, p_top, "点击 注意敌人", 2,
                                       step=0.01,
                                       threshold=0.9, is_click=True)
    def find_duihuahuopengren(self, hwnd, left, top, right, bottom, p_left, p_top):
        global imgs_duihuahuopengren
        return find_imgs_and_click(imgs_duihuahuopengren, hwnd, left, top, right, bottom, p_left, p_top, "发现 对话或烹饪", 1,
                                        step=0.001, is_click=False)
    def find_pianpianhua(self, hwnd, left, top, right, bottom, p_left, p_top):
        global imgs_pianpianhua
        return find_imgs_and_click(imgs_pianpianhua, hwnd, left, top, right, bottom, p_left, p_top, "发现 骗骗花", 1,
                                        step=0.001, is_click=False)
    def distance_to_target(self, d):

        h = float(d["points"][1][0] - d["points"][0][0])
        w = float(d["points"][1][1] - d["points"][0][1])
        # # # 计算距离的平方,这里使用欧几里得距离的平方作为衡量标准
        dist = (d["x"] - self.centre_point[0]) ** 2 + (d["y"] - self.centre_point[1]) ** 2
        angle = get_angle(self.centre_point, [d["x"], d["y"]])
        if angle >= 300 or angle <= 60:
            dist *= 999
        if w < 60:
            dist *= 0.1
        return dist + w * h


if __name__ == '__main__':

    while True:
        time.sleep(0.0001)
        pass

2、添加通讯模块

vi tangbaowss.py

import asyncio
import configparser
import ctypes
import random
import subprocess
import sys
import threading
import time
import websockets
import state
from lanrenauto.logger_module import logger
#躺宝wss通讯模块
# 存储所有已连接的客户端
connected_clients = []
new_msg = ""
async def handle_client(websocket, path):
    global new_msg
    try:
        # 发送连接成功消息
        await websocket.send("连接成功")
        # 添加新连接的客户端到集合中
        connected_clients.append(websocket)
        while True:
            # 接收客户端发送的消息
            message = await websocket.recv()
            new_msg = message
            # print(f"收到消息:{message}")
            # 处理接收到的消息
            if message == "是否回放中 真":
                state.状态_是否回放中 = True
            elif message == "是否回放中 假":
                state.状态_是否回放中 = False
            elif message == "是否暂停 真":
                state.状态_是否暂停 = True
            elif message == "是否暂停 假":
                state.状态_是否暂停 = False
            elif message == "是否开始录制 假":
                state.状态_是否开始录制 = False
            elif message == "是否开始录制 真":
                if state.状态_是否禁止录制 == False:
                    logger.info("请按F8结束录制")
                    state.QT_信号.mysig_tishi.emit(f"请按F8结束录制")
                    state.状态_是否开始录制 = True
            elif message == "是否禁止录制 假":
                state.状态_是否禁止录制 = False
            elif message == "是否禁止录制 真":
                state.状态_是否禁止录制 = True
            elif message[:5] == "录制的脚本":
                state.录制_脚本文本 = message[6:]
                if state.录制_脚本文本 != "":
                    logger.info("录制完毕!")

                # print(message)



    finally:
        # 客户端断开连接后,将其移出集合
        connected_clients.remove(websocket)
async def send_to_client(client_id, message):
    if len(connected_clients) > 0:
        # 查找指定的客户端
        await connected_clients[client_id].send(message)
async def server_main():
    try:
        if len(state.DUANGKOUHAO) < 3:
            state.DUANGKOUHAO = str(int(random.randint(1000, 19999)))
        server = await websockets.serve(handle_client, "localhost", int(state.DUANGKOUHAO), max_size=1024 * 1024 * 10)
    except:
        kernel32 = ctypes.windll.kernel32
        kernel32.SetConsoleMode(kernel32.GetStdHandle(-10), 7)
        state.DUANGKOUHAO = input(f"端口 {state.DUANGKOUHAO} 被占用了! 请输入新的端口号(然后手动重开):")
        if len(state.DUANGKOUHAO) < 3:
            state.DUANGKOUHAO = str(int(random.randint(1000, 19999)))
        try:
            # 创建 ConfigParser 对象
            config = configparser.ConfigParser()
            # 添加节和键-值对
            config['seting'] = {
                'DUANGKOUHAO': state.DUANGKOUHAO
            }
            # 写入配置到 INI 文件
            with open("./datas/setting.ini", 'w') as configfile:
                config.write(configfile)
        except:
            pass
        sys.exit()
    try:
        time.sleep(5)
        # 启动exe程序
        subprocess.Popen('"' + state.LIANZHAOFUWU + '" "' + state.DUANGKOUHAO + '"')
        logger.info("躺宝连招插件服务已经启动!")
    except:
        logger.error("文件没找到可以能被杀毒软件干掉了 " + state.LIANZHAOFUWU)
        input("回车结束!", state.LIANZHAOFUWU)
        sys.exit()
        # 启动事件循环,处理客户端连接
    await asyncio.gather(server.wait_closed())
def send_msg(msg="是否回放#@@#假"):

    '''
    给躺宝发送指令
    全部指令  :
    是否回放#@@#假  /真
    是否暂停#@@#假  /真
    是否开始录制#@@#假 /真
    是否禁止录制#@@#假 /真
    解析脚本#@@#jiaoben"  jiaoben就是录制的脚本文本 不是文件 是直接文字
    全局hwnd#@@#12345   12345就是游戏的窗口句柄
    :param msg: 指令 用 #@@# 分割
    :return:
    '''


    asyncio.run_coroutine_threadsafe(send_to_client(-1, msg), loop)
#开线程启动监听
loop = asyncio.new_event_loop()
# 启动 WebSocket 服务器
t = threading.Thread(target=loop.run_until_complete, args=(server_main(),))
if state.python_var > 9:
    t.daemon = True
else:
    t.setDaemon(True)
t.start()

3、大图定位小图

lanrenauto/findpic/findimg.py

# -*- coding: utf-8 -*-
#opencv 必须 4.8.1.78


import copy
import cv2
import os
import numpy as np
from ..moni.moni import *
from ..logger_module import logger


from demo.lanrenauto.tools.screenshot import screenshot #这里的demo是你的项目目录名
from demo import state

def get_view(small_img, radius=70):
    """
    返回当前视野角度 感谢网友飞宇提供的识别方法
    Returns:以正北方向为0度计算

    """


    channels = cv2.split(small_img)
    # 提取Alpha通道
    alpha3 = channels[3]  # 索引为3,因为Alpha通道是第四个通道
    # cv2.imshow('Alpha Channel', alpha3)
    # cv2.waitKey(0)
    # cv2.destroyAllWindows()
    # _, alpha = cv2.threshold(small_img, 10, 255, cv2.THRESH_BINARY) #这个是提取蓝色箭头图像
    # 假设 gray_channel 是你的灰度图像
    # 创建一个掩膜,将150-200之间的值设为255,其他设为0
    mask = np.zeros_like(alpha3)
    mask[alpha3 >= 151] = 255
    mask[alpha3 < 151] = 0
    mask[alpha3 > 229] = 0
    img = np.zeros((radius * 2, radius * 2), dtype=np.uint8)
    center = (radius, radius)
    max_overlap = 0  # 最佳的重叠面积
    max_angle = -1  # 最佳的角度
    increment = 20  # 递增的角度,这里设置为10度
    for angle in range(0, 360, increment):
        img_copy = img.copy()
        # 画一个扇形
        cv2.ellipse(img_copy, center, (radius, radius), 225 + angle, 0, 90, 255, -1)
        overlap = np.logical_and(img_copy, mask).sum()
        if overlap > max_overlap:
            max_overlap = overlap
            max_angle = angle

    start_angle = max_angle - 10
    if start_angle < 0:
        start_angle = 0
        end_angle = start_angle + 10
    else:
        end_angle = start_angle + 20

    for angle in range(start_angle, end_angle, 1):
        img_copy = img.copy()
        # 画一个扇形
        cv2.ellipse(img_copy, center, (radius, radius), 225 + angle, 0, 90, 255, -1)
        overlap = np.logical_and(img_copy, mask).sum()
        if overlap > max_overlap:
            max_overlap = overlap
            max_angle = angle
    # print(f'最匹配角度:{max_angle},重叠面积:{max_overlap}')
    # print(f'用时:{time.time() - old_time}')
    # cv2.destroyAllWindows()

    return max_angle
def get_view2(small_img, radius=70):
    """
    返回当前视野角度 感谢网友飞宇提供的识别方法
    Returns:以正北方向为0度计算

    """

    # radius = 70  # 定义截屏的宽度和长度
    # # 获取窗口句柄
    # hwnd = win32gui.FindWindow(state.GAME_CLASS, "原神")  # 替换成你实际的窗口句柄
    #
    #
    # small_img = screenshot(hwnd,(98+radius,55+radius), radius=radius)
    #
    #
    channels = cv2.split(small_img)
    # 提取Alpha通道
    alpha3 = channels[3]  # 索引为3,因为Alpha通道是第四个通道
    # cv2.imshow('Alpha Channel', alpha3)
    # cv2.waitKey(0)
    # cv2.destroyAllWindows()
    # _, alpha = cv2.threshold(small_img, 10, 255, cv2.THRESH_BINARY) #这个是提取蓝色箭头图像
    # 假设 gray_channel 是你的灰度图像
    # 创建一个掩膜,将150-200之间的值设为255,其他设为0
    mask = np.zeros_like(alpha3)
    mask[alpha3 >= 9] = 255
    mask[alpha3 < 9] = 0
    mask[alpha3 > 190] = 0
    img = np.zeros((radius * 2, radius * 2), dtype=np.uint8)
    center = (radius, radius)
    max_overlap = 0  # 最佳的重叠面积
    max_angle = -1  # 最佳的角度
    increment = 20  # 递增的角度,这里设置为10度
    for angle in range(0, 360, increment):
        img_copy = img.copy()
        # 画一个扇形
        cv2.ellipse(img_copy, center, (radius, radius), 225 + angle, 0, 90, 255, -1)
        overlap = np.logical_and(img_copy, mask).sum()
        if overlap > max_overlap:
            max_overlap = overlap
            max_angle = angle

    start_angle = max_angle - 10
    if start_angle < 0:
        start_angle = 0
        end_angle = start_angle + 10
    else:
        end_angle = start_angle + 20

    for angle in range(start_angle, end_angle, 1):
        img_copy = img.copy()
        # 画一个扇形
        cv2.ellipse(img_copy, center, (radius, radius), 225 + angle, 0, 90, 255, -1)
        overlap = np.logical_and(img_copy, mask).sum()
        if overlap > max_overlap:
            max_overlap = overlap
            max_angle = angle

    return max_angle
def pyramid_template_matching(image, template, mask=None):
    '''
    返回当前导航的角度
    :param image:
    :param template:
    :param mask:
    :return:
    '''
    result = image.copy()
    # 创建掩码
    if mask is not None:
        mask = mask.astype(np.uint8)
    # 金字塔层级
    # pyramid_levels =1
    best_angle = -1  # 最佳匹配角度
    max_similarity = 0  # 最大相似度
    best_res = 0
    best_rotated_template = ""
    h, w = template.shape[:2]
    scaled_mask = mask.astype(np.uint8)
    scaled_image = image
    scaled_template = template
    # for level in range(pyramid_levels):
    #     # 缩放大图和小图
    #     scaled_image = cv2.resize(image, (0, 0), fx=1 / (2 ** level), fy=1 / (2 ** level))
    #     scaled_template = cv2.resize(template, (0, 0), fx=1 / (2 ** level), fy=1 / (2 ** level))
    #     if mask is not None:
    #         scaled_mask = cv2.resize(mask, (0, 0), fx=1 / (2 ** level), fy=1 / (2 ** level))
    #         scaled_mask = scaled_mask.astype(np.uint8)
    # 旋转模板并进行匹配
    for angle in range(0, 360, 10):
        rotated_mask = rotate_image(scaled_mask, angle)
        rotated_mask[rotated_mask > 1] = 255  # 将灰色也变成白色
        rotated_template = rotate_image(scaled_template, angle)
        # save_rotated_image(rotated_template, "./datas/img", f"{angle}_template")
        # save_rotated_image(rotated_mask, "./datas/img",f"{angle}_mask")
        res = cv2.matchTemplate(scaled_image, rotated_template, cv2.TM_CCORR_NORMED, mask=rotated_mask)
        similarity = cv2.minMaxLoc(res)[1]  # 获取匹配相似度
        if similarity > max_similarity:
            max_similarity = similarity
            best_angle = angle
            best_res = res
            best_rotated_template = rotated_template

    best_angle_bk = copy.copy(best_angle)
    start_angle = best_angle_bk - 10
    if start_angle < 0:
        start_angle = 0
        end_angle = start_angle + 10
    else:
        end_angle = start_angle + 20
    for angle in range(start_angle, end_angle, 1):
        rotated_mask = rotate_image(scaled_mask, angle)
        rotated_mask[rotated_mask > 1] = 255  # 将灰色像素值改为黑色像素值
        rotated_template = rotate_image(scaled_template, angle)
        res = cv2.matchTemplate(scaled_image, rotated_template, cv2.TM_CCORR_NORMED, mask=rotated_mask)
        similarity = cv2.minMaxLoc(res)[1]  # 获取匹配相似度
        if similarity > max_similarity:
            max_similarity = similarity
            best_angle = angle
            best_res = res
            best_rotated_template = rotated_template

    # min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(best_res)
    # top_left = max_loc
    # bottom_right = (top_left[0] + w, top_left[1] + h)
    # 绘制角度
    # cv2.putText(result, f"{int(best_angle)}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
    # 在原始大图上绘制矩形框标记匹配区域
    # cv2.rectangle(result, top_left, bottom_right, (0, 255, 0), 2)
    return result, max_similarity, best_angle, best_rotated_template
def save_rotated_image(rotated_image, save_dir, index):
    save_path = os.path.join(save_dir, f"{index}.png")
    cv2.imwrite(save_path, rotated_image)
def rotate_image(img, angle):
    '''
    将图片旋转多少度
    :param img:
    :param angle:
    :return:
    '''
    h, w = img.shape[:2]
    center = (w // 2, h // 2)
    M = cv2.getRotationMatrix2D(center, -angle, 1.0)
    rotated_image = cv2.warpAffine(img, M, (w, h), flags=cv2.INTER_NEAREST, borderMode=cv2.BORDER_CONSTANT,
                                   borderValue=(0, 0, 0, 0))
    return rotated_image
def template_matching(img, template_img, threshold=0.8, maxcnt=0, mask=None):
    """
     模板匹配 多个
    Args:
        img:
        template_img:
        threshold:
        maxcnt:
        mask:

    Returns:

    """
    method = cv2.TM_CCOEFF_NORMED
    # 创建掩码
    if mask is not None:
        mask = mask.astype(np.uint8)
        scaled_mask = mask.astype(np.uint8)
    else:
        scaled_mask = mask


    scaled_image = img
    scaled_template = template_img

    if scaled_image is None:
        raise "大图不能为None"

    if scaled_template is None:
        raise "模板小图不能为None"


    h, w = scaled_template.shape[:2]
    res = cv2.matchTemplate(scaled_image, scaled_template, method, mask=scaled_mask)

    result = []
    while True:
        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
        if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:
            top_left = min_loc
        else:
            top_left = max_loc
        if max_val < threshold or max_val == np.inf:
            break
        middle_point = [top_left[0] + w // 2, top_left[1] + h // 2]
        result.append(dict(
            result=middle_point,
            rectangle=(top_left, (top_left[0], top_left[1] + h), (top_left[0] + w, top_left[1]),
                       (top_left[0] + w, top_left[1] + h)),
            confidence=round(max_val, 2)
        ))

        if maxcnt and len(result) >= maxcnt:
            break
        cv2.floodFill(res, None, max_loc, (-1000,), max_val - threshold + 0.1, 1, flags=cv2.FLOODFILL_FIXED_RANGE)
    return result
def find_img_and_click(img, hwnd=0, left=0, top=0, right=1920, bottom=1080, p_left=0, p_top=0, label="", times=10,
                       step=1.0,
                       is_click=True, threshold=0.8, keepKey=None, mask=None, double_click=False, big_img=None,is_show=False):
    '''

    Args:
        img: 小图 np图
        hwnd: 句柄
        left: 左边
        top: 顶边
        right: 右边
        bottom: 底边
        p_left: 窗口偏移left  有些窗口有黑边/透明边
        p_top: 窗口偏移top
        label: 输出的日志
        times: 找图次数
        step: 查找间隔
        is_click: 是否点击
        threshold: 最小相似度
        keepKey: 需要一直按住哪个键? 不填 就不按 None
        mask: 掩码
        double_click: 是否双击
        big_img: None 自动截图  非None 则提供大图np图 提供大图为了保证点击成功 left 和 top也要准确给
        is_show: False 是否展示

    Returns:

    '''
    for _ in range(times):

        if not state.状态_循环开关:
            return False
        if keepKey is not None:
            pyautogui.keyDown(keepKey)
        if big_img is  None:
            big_img = screenshot(hwnd, left, top, right, bottom, None)
        res = template_matching(big_img, img, mask=mask, threshold=threshold)
        for r_item in res:
            result_post = [r_item["result"][0], r_item["result"][1]]
            logger.info(label)
            if is_show:
                # 转换为 NumPy 数组
                pts = np.array(
                    (
                        r_item['rectangle'][0], r_item['rectangle'][1], r_item['rectangle'][3],
                        r_item['rectangle'][2]),
                    np.int32)
                cv2.circle(big_img, result_post, 10, (0, 0, 255), -1)
                cv2.polylines(big_img, [pts], True, (0, 255, 0), 5)
                if big_img.shape[2] == 4:

                    state.图片_找图 = cv2.cvtColor(big_img, cv2.COLOR_BGRA2BGR)
                else:
                    state.图片_找图 = big_img
                state.QT_信号.mysig_show_xunlu.emit()
            if is_click:
                mouse_move(p_left + result_post[0] + left, p_top + result_post[1] + top)
                time.sleep(0.2)
                mouse_left_down()
                time.sleep(0.2)
                mouse_left_up()
                #print(p_left + result_post[0] + left, p_top + result_post[1] + top)
                if double_click:
                    mouse_left_down()
                    time.sleep(0.2)
                    mouse_left_up()
            return True
        if times > 1:
            time.sleep(step)
            big_img=None
    return False
def find_imgs_and_click(imgs, hwnd=0, left=0, top=0, right=1920, bottom=1080, p_left=0, p_top=0, label="", times=10,
                        step=1.0,
                        is_click=True, threshold=0.8, isMask=False,is_show=False):
    for _ in range(times):
        big_img = screenshot(hwnd, left, top, right, bottom, None)
        for img in imgs:
            if isMask:
                mask = img[:, :, 3]  # 提取透明度通道作为掩码
            else:
                mask = None
            ret = find_img_and_click(img, left, top, right, bottom, p_left, p_top, label=label, is_click=is_click,
                                     times=1, threshold=threshold, mask=mask, big_img=big_img,is_show=is_show)
            if ret:
                return True
        if times > 1:
            time.sleep(step)
    return False

def find_img_all_sift(big_img, small_img, roi=None, min_match_count=10, maxcnt=0):
    '''
    使用sift算法进行多个相同元素的查找
    Args:
        big_img(numpy.ndarray): 大图像
        small_img(numpy.ndarray): 需要查找的小图像
        roi(tuple): 感兴趣区域的坐标,格式为(x, y, width, height)
        min_match_count(int): 最小匹配数量
        maxcnt(int): 匹配的最大数量

    Returns:
        A list of found [{"result": point, "rectangle": rectangle, "confidence": 0.76}, ...]
        rectangle is a 4 points list
    '''
    try:
        sift = cv2.SIFT_create(sigma=1.3)
        flann = cv2.FlannBasedMatcher({'algorithm': 1, 'trees': 5}, dict(checks=50))
        g1 = cv2.cvtColor(small_img, cv2.COLOR_BGR2GRAY)


        if roi:
                x, y, width, height = roi
                roi_img = big_img[y:y + height, x:x + width]
                g2 = cv2.cvtColor(roi_img, cv2.COLOR_BGR2GRAY)
        else:
            g2 = cv2.cvtColor(big_img, cv2.COLOR_BGR2GRAY)

        #增强对比度
        # g1 = cv2.equalizeHist(g1)
        # g2 = cv2.equalizeHist(g2)
        # #自适应阈值分割 减少透明背景影响
        g1 = cv2.adaptiveThreshold(g1, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
                                             cv2.THRESH_BINARY, 21, 2)
        g2 = cv2.adaptiveThreshold(g2, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
                                           cv2.THRESH_BINARY, 21, 2)



        kp_sch, des_sch = sift.detectAndCompute(g1, None)
        if len(kp_sch) < min_match_count:
            return None
        kp_src, des_src = sift.detectAndCompute(g2, None)
        if len(kp_src) < min_match_count:
            return None

        result = []

        while True:
            matches = flann.knnMatch(des_sch, des_src, k=2)
            good = []

            for m, n in matches:
                if m.distance < 0.75 * n.distance:
                    good.append(m)
            if len(good) < min_match_count:
                break

            sch_pts = np.float32([kp_sch[m.queryIdx].pt for m in good]).reshape(-1, 1, 2)
            img_pts = np.float32([kp_src[m.trainIdx].pt for m in good]).reshape(-1, 1, 2)

            M, mask = cv2.findHomography(sch_pts, img_pts, cv2.RANSAC, 5.0)
            matches_mask = mask.ravel().tolist()

            h, w = small_img.shape[:2]
            pts = np.float32([[0, 0], [0, h-1], [w-1, h-1], [w-1, 0]]).reshape(-1, 1, 2)

            try:
                if roi:
                    dst = cv2.perspectiveTransform(pts, M) + [x, y]
                else:
                    dst = cv2.perspectiveTransform(pts, M)
            except:
                break

            pypts = []
            for npt in dst.astype(int).tolist():
                pypts.append(tuple(npt[0]))
            #保留小数点后两位

            sim =  round(min(1.0 * matches_mask.count(1) / len(matches_mask), 1.0),2)

            X = (pypts[0][0] + pypts[1][0] + pypts[2][0] + pypts[3][0]) // 4
            Y = (pypts[0][1] + pypts[1][1] + pypts[2][1] + pypts[3][1]) // 4
            middle_point = (X, Y)
            if 0 > middle_point[0] >  w or 0 > middle_point[1] > h:
                continue
            result.append(dict(
                result=middle_point,
                rectangle=pypts,
                confidence=sim,
                dst_pot=[np.int32(dst)]
            ))

            if maxcnt and len(result) >= maxcnt:
                break

            qindexes, tindexes = [], []
            for m in good:
                qindexes.append(m.queryIdx)
                tindexes.append(m.trainIdx)

            def filter_index(indexes, arr):
                r = []
                for i, item in enumerate(arr):
                    if i not in indexes:
                        r.append(item)
                return np.array(r)

            kp_src = filter_index(qindexes, kp_src)
            des_src = filter_index(tindexes, des_src)

        return result
    except:
        return None
def find_img_sift_and_click(img, hwnd=0, left=0, top=0, right=1920, bottom=1080, p_left=0, p_top=0, label="", times=10,
                       step=1.0,
                       is_click=True, threshold=0.8, keepKey=None, roi=None, double_click=False, big_img=None,is_show=False):
    '''

    Args:
        img: 小图 np图
        hwnd: 句柄
        left: 左边
        top: 顶边
        right: 右边
        bottom: 底边
        p_left: 窗口偏移left  有些窗口有黑边/透明边
        p_top: 窗口偏移top
        label: 输出的日志
        times: 找图次数
        step: 查找间隔
        is_click: 是否点击
        threshold: 最小相似度
        keepKey: 需要一直按住哪个键? 不填 就不按 None
        roi: 感兴趣的区域 默认为none 全图搜索  (tuple): 感兴趣区域的坐标,格式为(x, y, width, height)
        double_click: 是否双击
        big_img: None 自动截图  非None 则提供大图np图 提供大图为了保证点击成功 left 和 top也要准确给
        is_show: False 是否展示

    Returns:

    '''
    for _ in range(times):

        if not state.状态_循环开关:
            return False
        if keepKey is not None:
            pyautogui.keyDown(keepKey)
        if big_img is  None:
            big_img = screenshot(hwnd, left, top, right, bottom, None)
        res = find_img_all_sift(big_img, img,roi)

        for r_item in res:
            if r_item['confidence'] <threshold:
                continue
            result_post = [ r_item["middle_point"][0], r_item["middle_point"][1]]
            logger.info(label)
            if is_show:
                cv2.circle(big_img, result_post, 10, (0, 0, 255), -1)
                cv2.polylines(big_img, result['dst_pot'], True, (0, 255, 0), 5)
                # cv2.imshow('Genshin navigation'  , big_img)
                # cv2.imwrite("./output.jpg", big_img)
                if big_img.shape[2] == 4:
                    state.图片_找图 = cv2.cvtColor(big_img, cv2.COLOR_BGRA2BGR)
                else:
                    state.图片_找图 = big_img
                state.QT_信号.mysig_show_xunlu.emit()
            if is_click:
                mouse_move(p_left + result_post[0] + left, p_top + result_post[1] + top)
                time.sleep(0.2)
                mouse_left_down()
                time.sleep(0.2)
                mouse_left_up()
                #print(p_left + result_post[0] + left, p_top + result_post[1] + top)
                if double_click:
                    mouse_left_down()
                    time.sleep(0.2)
                    mouse_left_up()
            return True
        if times > 1:
            time.sleep(step)
            big_img=None
    return False
def find_imgs_sift_and_click(imgs, hwnd=0, left=0, top=0, right=1920, bottom=1080, p_left=0, p_top=0, label="", times=10,
                        step=1.0,
                        is_click=True, threshold=0.8, roi=None,is_show=False):
    '''
    使用sift算法 进行搜图 支持形变 放大缩小 透明的干扰的图
    Args:
        img: 小图 np图 列表
        hwnd: 句柄
        left: 左边
        top: 顶边
        right: 右边
        bottom: 底边
        p_left: 窗口偏移left  有些窗口有黑边/透明边
        p_top: 窗口偏移top
        label: 输出的日志
        times: 找图次数
        step: 查找间隔
        is_click: 是否点击
        threshold: 最小相似度
        roi: 感兴趣的区域 默认为none 全图搜索  (tuple): 感兴趣区域的坐标,格式为(x, y, width, height)
        is_show: False 是否展示

    Returns:
    '''
    for _ in range(times):
        big_img = screenshot(hwnd, left, top, right, bottom, None)
        for img in imgs:
            ret = find_img_sift_and_click(img, left, top, right, bottom, p_left, p_top, label=label, is_click=is_click,
                                     times=1, threshold=threshold, roi=roi, big_img=big_img,is_show=is_show)
            if ret:
                return True
        if times > 1:
            time.sleep(step)
    return False
def find_dict_index(dict_list, key, value):
    '''
    查找列表成员中的 字典里指定key 中是否存在某个值 返回相似度最高的成员索引

    :param dict_list:
    :param key:
    :param value:
    :return:
    '''
    max_sim = 0
    index = None
    for i, dictionary in enumerate(dict_list):
        if dictionary.get(key) == value:
            if dictionary.get('sim') > max_sim:
                max_sim = dictionary.get('sim')
                index = i
    return index != None, index
def find_dict_num(dict_list, key, value):
    '''
    列表中 字典里指定key 存在某个值的次数
    :param dict_list:
    :param key:
    :param value:
    :return:
    '''
    num_ = 0
    for i, dictionary in enumerate(dict_list):
        if dictionary.get(key) == value:
            num_ += 1
    return num_

if __name__ == '__main__':
    # 读取图像和模板
    # old_time=time.time()
    # image = cv2.imdecode(np.fromfile(file=r"大图.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)  # 加载大图
    # template = cv2.imdecode(np.fromfile(file=r"小图.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)  # 加载透明图
    # mask = template[:, :, 3]  # 提取透明度通道作为掩码
    # result,max_similarity, best_angle = pyramid_template_matching(image, template, mask=mask)
    # print(f"相似度:{max_similarity} 角度:{best_angle}  用时:{int((time.time()-old_time)*1000)}ms")
    #
    # # 显示结果图像
    # cv2.imshow("Result", result)
    # cv2.waitKey(0)
    # cv2.destroyAllWindows()

    old_time = time.time()
    image = cv2.imdecode(np.fromfile(file=r"D:\QQ聊天记录\111.bmp", dtype=np.uint8), cv2.IMREAD_COLOR)  # 加载大图
    template = cv2.imdecode(np.fromfile(file=r"D:\QQ聊天记录\p.png", dtype=np.uint8), cv2.IMREAD_COLOR)  # 加载透明图

    RET = template_matching(image, template, mask=None)
    for result in RET:
        print(result)
        # 转换为 NumPy 数组
        pts = np.array((result['rectangle'][0], result['rectangle'][1], result['rectangle'][3],
                        result['rectangle'][2]), np.int32)

        cv2.polylines(image, [pts], True, (0, 255, 0), 5)

        # 显示结果图像
        cv2.imshow("324234", result)
        cv2.waitKey(0)
        cv2.destroyAllWindows()

4、循环截图

lanrenauto/tools/screenshot.py

# -*- coding: utf-8 -*-
import os
import random
import time
import traceback
import numpy as np
import win32gui
import win32ui
import win32con
from PIL import Image

from ..logger_module import logger


def screenshot(hwnd, left=0, top=0, right=0, bottom=0, filename=None):
    try:
        #old_time=time.time()
        width = right-left
        height = bottom - top
        # 判断窗口是否可见
        if not win32gui.IsWindowVisible(hwnd):
            return False
        # 创建设备描述表
        hwnd_dc = win32gui.GetDC(hwnd)   #GetWindowDC
        mfc_dc = win32ui.CreateDCFromHandle(hwnd_dc)
        save_dc = mfc_dc.CreateCompatibleDC()

        # 创建位图对象
        save_bitmap = win32ui.CreateBitmap()
        save_bitmap.CreateCompatibleBitmap(mfc_dc, width, height)

        # 将位图对象绑定到设备描述表
        save_dc.SelectObject(save_bitmap)
        # result = windll.user32.PrintWindow(hwnd, save_dc.GetSafeHdc(),1)   #0  1 或者3  3没有透明通道信息
        # if result == 0:
        #    print("PrintWindow failed")
        #    return False
        # # 将截图保存到位图对象中
        save_dc.BitBlt((0, 0), (width, height), mfc_dc, (left, top), win32con.SRCCOPY)#win32con.CAPTUREBLT  win32con.SRCCOPY

        # 将位图对象转换为OpenCV图像
        bmp_info = save_bitmap.GetInfo()
        bmp_str = save_bitmap.GetBitmapBits(True)
        img = np.frombuffer(bmp_str, dtype='uint8').reshape((bmp_info['bmHeight'], bmp_info['bmWidth'], 4))

        #img = img[top:bottom, left:right]
        # 测试透明通道是否截到
        # img = cv2.split(img)
        # # 提取Alpha通道
        # img = img[3]
        # cv2.imshow('Alpha Channel', img)
        # cv2.waitKey(0)
        # cv2.destroyAllWindows()
        if filename is not None:
            # 保存位图对象到文件
            img_pil = Image.fromarray(img[..., [2, 1, 0]])
            img_pil.save(filename, format='JPEG', quality=90)

        # 删除对象,释放资源
        save_dc.DeleteDC()

        win32gui.ReleaseDC(hwnd, hwnd_dc)
        win32gui.DeleteObject(save_bitmap.GetHandle())
        #print(time.time()-old_time)
        return img

    except :
        logger.error(traceback.format_exc())
        return False



if __name__ == '__main__':
    try:
        step=int(input("多少秒截一张图?输入数字按回车确认:"))
    except:
        step=2
    input("请将游戏设置为1920*1080分辨率,然后按回车开始截图")
    # 获取窗口句柄
    hwnd = win32gui.FindWindow("UnityWndClass", "原神")  # 替换成你实际的窗口句柄
    # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)
    left, top, right, bottom = 0, 0, 1920, 1080  # 替换成你实际的区域坐标
    #判断是否有这个目录 没有就创建
    if not os.path.exists("../../原神截图"):
        os.mkdir("../../原神截图")
    while True:
        time.sleep(step)
        filename = f"./原神截图/{int(time.time())}{random.randint(1000,9999)}.jpg"
        ret=screenshot(hwnd, left, top, right, bottom, filename=filename)

        print("截图成功保存在:",filename)

5、添加模型推理

lanrenauto/yolov/lanrenonnx.py

import os
import random
import time
import onnxruntime as ort
import cv2
import numpy as np
from PIL import Image, ImageDraw, ImageFont


def get_font_path(font_path):
    # 获取 put.py 所在目录
    put_dir = os.path.dirname(__file__)

    put_path = os.path.join(put_dir, font_path)

    if os.path.exists(put_path):
        return put_path
    else:
        return ""
def put_chinese_text_on_image(img, label, position, color=[0,255,0],font_path= 'Arial.Unicode.ttf', font_size=15, font_thickness=5):
    """
    在OpenCV图像上绘制中文字符串。

    参数:
    img -- OpenCV图像。
    label -- 要绘制的字符串。
    position -- 字符串的起始位置 (x, y) 元组。
    color -- 字体颜色,以BGR格式给出。
    font_path -- 支持中文的字体文件的路径。
    font_size -- 字体大小
    font_thickness -- 字体 加粗



    返回:
    带有中文字符串的图像。
    """
    fp = get_font_path(font_path)
    if fp == "":
        return img

    # 转换图像以便使用PIL
    pil_img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
    draw = ImageDraw.Draw(pil_img)

    # 加载自定义字体
    pil_font = ImageFont.truetype(fp, font_size)  # 字体大小可能需要调整以匹配OpenCV的font_scale

    # 获取文本的宽度和高度
    text_width, text_height = draw.textbbox((0, 0), label, font=pil_font)[2:]


    # 计算文本的起始位置,确保它不会超出图像边界
    x, y = position
    y_adjusted = max(y - text_height, 0)
    position = (x, y_adjusted)

    # 使用PIL绘制文本
    draw.text(position, label, fill=tuple(color), font=pil_font,width=font_thickness)

    # 将PIL图像转换回OpenCV图像
    img_with_text = cv2.cvtColor(np.asarray(pil_img), cv2.COLOR_RGB2BGR)

    return img_with_text
class LanRenOnnxYolov():
    def __init__(self,weights='yolov5l_320.onnx',model_h=320, model_w=320, thred_nms=0.4, thred_cond=0.4,providers=["CUDAExecutionProvider",'CPUExecutionProvider'],dic_labels={}):
        """
        yolov onnx推理
        providers: []   ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
        dic_labels: {0: 'person', 1: 'bicycle'}
        """
        self.weights=weights
        self.model_h=model_h
        self.model_w=model_w
        self.thred_nms=thred_nms
        self.thred_cond=thred_cond
        self.colors=[[random.randint(0, 255) for _ in range(3)] for color in range(len(dic_labels))]
        #print(self.colors)
        self.openfile_name_model = weights  # 模型名称

        # self.so = ort.SessionOptions()  # 树莓派上保留以下两段代码,注释下面那行代码
        # self.net = ort.InferenceSession(self.openfile_name_model, self.so)
        # ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
        try:
            self.net = ort.InferenceSession(self.openfile_name_model,
                                            providers=providers)  # 在树莓派上这里不需指定推理设备
            p=self.net.get_providers()
            print("执行提供者:",p,)
            print("GPU加速:",str(p).find("CUDA")!=-1 or str(p).find("Tensorrt")!=-1 )
            # 标签字典
            self.dic_labels = dic_labels
            big_img = np.zeros((1080, 1920, 3), dtype=np.uint8)
            self.detect(big_img )
            old_time = time.time()
            self.detect(big_img )
            print("检测帧率:", 1000 // int((time.time() - old_time) * 1000))
        except:
            print("CUDA加速失败,使用CPU推理")
            providers=['CPUExecutionProvider']
            self.net = ort.InferenceSession(self.openfile_name_model,
                                            providers=providers)  # 在树莓派上这里不需指定推理设备
            p = self.net.get_providers()
            print("执行提供者:", p, )
            print("GPU加速:", str(p).find("CUDA") != -1 or str(p).find("Tensorrt") != -1)
            # 标签字典
            self.dic_labels = dic_labels
            big_img = np.zeros((1080, 1920, 3), dtype=np.uint8)
            self.detect(big_img)
            old_time = time.time()
            self.detect(big_img)
            print("检测帧率:", 1000 // int((time.time() - old_time) * 1000))
    # 标注目标
    def plot_one_box(self,x, img, color=None, label=None, line_thickness=None):

        """
        description: Plots one bounding box on image img,
                     this function comes from YoLov5 project.
        param:
            x:      a box likes [x1,y1,x2,y2]
            img:    a opencv image object
            color:  color to draw rectangle, such as (0,255,0)
            label:  str
            line_thickness: int
        return:
            img
        """
        tl = (
                line_thickness or round(0.002 * (img.shape[0] + img.shape[1]) / 2) + 1
        )  # line/font thickness
        color = color or [random.randint(0, 255) for _ in range(3)]
        c1, c2 = (int(x[0]), int(x[1])), (int(x[2]), int(x[3]))
        cv2.rectangle(img, c1, c2, color, thickness=tl, lineType=cv2.LINE_AA)
        if label:

            tf = max(tl - 1, 1)  # font thickness
            t_size = cv2.getTextSize(label, 0, fontScale=tl / 3, thickness=tf)[0]
            #支持中文的写法
            img = put_chinese_text_on_image(img, label, (c1[0], c1[1] - 2), [color[2],color[1],color[0]],font_size= t_size[1])
            #不支持中文
            # cv2.putText(
            #     img,
            #     label,
            #     (c1[0], c1[1] - 2),
            #     0,
            #     tl / 3,
            #     [225, 255, 255],
            #     thickness=tf,
            #     lineType=cv2.LINE_AA,
            # )
        return img
    # 极大值抑制
    def post_process_opencv(self,outputs, img_h, img_w,):
        conf = outputs[:, 4].tolist()
        c_x = outputs[:, 0] / self.model_w * img_w
        c_y = outputs[:, 1] / self.model_h * img_h
        w = outputs[:, 2] / self.model_w * img_w
        h = outputs[:, 3] / self.model_h * img_h
        p_cls = outputs[:, 5:]
        if len(p_cls.shape) == 1:
            p_cls = np.expand_dims(p_cls, 1)
        cls_id = np.argmax(p_cls, axis=1)

        p_x1 = np.expand_dims(c_x - w / 2, -1)
        p_y1 = np.expand_dims(c_y - h / 2, -1)
        p_x2 = np.expand_dims(c_x + w / 2, -1)
        p_y2 = np.expand_dims(c_y + h / 2, -1)
        areas = np.concatenate((p_x1, p_y1, p_x2, p_y2), axis=-1)

        areas = areas.tolist()
        ids = cv2.dnn.NMSBoxes(areas, conf, self.thred_cond, self.thred_nms)
        if len(ids) > 0:
            return np.array(areas)[ids], np.array(conf)[ids], cls_id[ids]
        else:
            return [], [], []
    # 推理
    def detect(self,img_np,save_path=None,plot_box=True):
        '''
        预测
        '''
        img0 = img_np.copy()
        # 图像预处理
        img = cv2.resize(img0, [self.model_w, self.model_h], interpolation=cv2.INTER_AREA)  # 缩放
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)  # 格式转换
        img = img.astype(np.float32) / 255.0  # 归一化
        blob = np.expand_dims(np.transpose(img, (2, 0, 1)), axis=0)  # 维度转换
        # 模型推理
        outs = self.net.run(None, {self.net.get_inputs()[0].name: blob})[0].squeeze(axis=0)
        # 输出坐标矫正
        # outs = cal_outputs(outs, nl, na, model_w, model_h, anchor_grid, stride)
        # 检测框计算
        img_h, img_w, _ = np.shape(img0)
        boxes, confs, ids = self.post_process_opencv(outs,  img_h, img_w)
        res_loc=[]
        for box, score, id in zip(boxes, confs, ids):
            # 标签
            label = '%s:%.2f' % (self.dic_labels[id], score)
            # 坐标转换
            xyxy=box.astype(np.int16)
            #画框框
            if plot_box or save_path != None:

                img0=self.plot_one_box(xyxy, img0, label=label, line_thickness=None,color= self.colors[id])
            # 数据保存
            res_loc.append({"label": self.dic_labels[id], "x": int(xyxy[0]) + (int(xyxy[2]) - int(xyxy[0])) // 2,
                            "y": int(xyxy[1]) + (int(xyxy[3]) - int(xyxy[1])) // 2, "sim": float(f"{score:.2f}"),
                            "points": ((xyxy[0],xyxy[1]), (xyxy[2],xyxy[3]))})
        if save_path != None:
            cv2.imwrite(save_path, img0)
        if img0.shape[2]==4:

            return res_loc,cv2.cvtColor(img0, cv2.COLOR_BGRA2BGR)  # 格式转换
        return res_loc,img0
if __name__ == '__main__':
    image_path="D:\\pythonProjects\\yuanshenAI\\datasets\\yuanshen\\images\\17141983915923.jpg"
    weights="./datas/yolov5l_320.onnx"
    model_h=320
    model_w=320
    dic_labels={0:"玩家",1:"采集物",2:"生命树",3:"开关",4:"怪物",5:"提示关闭",6:"使用原粹树脂",7:"使用浓缩树脂",
                8:"关闭",9:"继续挑战",10:"退出秘境",11:"副本门框",12:"副本打完了",13:"捡东西",14:"副本楼梯",
                15:"往下落",16:"矿石",17:"往上跳",18:"交互对话",19:"采集物-风",20:"采集物-冰",21:"确定",
                22:"取消",23:"返回",24:"被控了",25:"在水面",26:"宠物"}
    big_img = cv2.imdecode(np.fromfile(file=image_path, dtype=np.uint8), cv2.IMREAD_COLOR)  # 加载大图

    yolov=LanRenOnnxYolov(weights=weights,model_w=model_w,model_h=model_h,dic_labels=dic_labels)
    old_time=time.time()
    res_loc,img=yolov.detect(big_img, save_path="../../test.jpg")
    print((time.time()-old_time)*1000,res_loc)

    old_time = time.time()
    res_loc, img = yolov.detect(big_img, save_path=None, plot_box=True)
    print((time.time() - old_time) * 1000, res_loc)
    old_time = time.time()
    res_loc, img = yolov.detect(big_img, save_path=None, plot_box=True)
    print((time.time() - old_time) * 1000, res_loc)
    old_time = time.time()
    res_loc, img = yolov.detect(big_img, save_path=None, plot_box=True)
    print((time.time() - old_time) * 1000, res_loc)
    old_time = time.time()
    res_loc, img = yolov.detect(big_img, save_path=None, plot_box=True)
    print((time.time() - old_time) * 1000, res_loc)

三、寻路

vi main.py

 if __name__ == '__main__':



     ....

          from wayfinding import *
          ysam = YuanShenAutoMap()  # 启动寻路类

添加寻路类

wayfinding.py

# -*- coding: utf-8 -*-
#opencv 必须 4.8.1.78
from pynput import keyboard
from pynput.keyboard import Key
from lanrenauto.tools.screenshot import *
from lanrenauto.moni.hookkeymose import HookKeyMose
from auto import *
def setresize():
    pyautogui.keyUp('w')
    pyautogui.keyDown("esc")
    time.sleep(0.2)
    pyautogui.keyUp("esc")
class YuanShenAutoMap(HookKeyMose):
    def __init__(self):

        HookKeyMose.__init__(self, hookKey=True)
        pyautogui.PAUSE = 0.01
        pyautogui.FAILSAFE=False
        self.on_rec=False
        self.map_matrix = []
        self.now_point=(0,0)#当前的位置
        self.old_point=(0,0)#上一次的位置
        self.isRunRec=False
        self.小地图区域=(87-10,45-10,246+10,204+10 )
        # 让yolov接手的兴趣点用来存可能出现怪物,或者需要捡东西的地方
        self.interest_point = []
    def run_rec(self, image_path,image_path_lujin):
        '''
        录制路径
        :param image_path_map: 地图路径 有障碍物的
        :param image_path: 原图
        :return:
        '''
        self.on_rec = True
        self.isRunRec=True
        self.interest_point=[]
        # 获取窗口句柄
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄


        rect = win32gui.GetWindowRect(hwnd)
        w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
        # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)
        left, top, right, bottom =self.小地图区域 # 替换成你实际的区域坐标


        roi = None
        result_post=(0,0)
        big_img = cv2.imdecode(np.fromfile(file=image_path, dtype=np.uint8), cv2.IMREAD_COLOR)  # 加载大图
        big_height, big_width, _ = big_img.shape
        big_img_yt = big_img.copy()
        # height, width, _ = big_img.shape
        # window_height=500
        # window_width = int(window_height * width / height)
        # sj=str(random.randint(1000,9999))
        # # 创建窗口
        # cv2.namedWindow('Genshin navigation'+sj, cv2.WINDOW_NORMAL)
        # cv2.resizeWindow('Genshin navigation'+sj, window_width, window_height)
        # cv2.setWindowProperty("Genshin navigation"+sj, cv2.WND_PROP_TOPMOST, 1)
        logger.info("载入地图成功")
        while True:

            if self.get_window_handle_at_mouse_position() != hwnd:
                logger.info("鼠标离开游戏了!")
                time.sleep(0.5)
                continue

            # #time.sleep(interval)
            if state.开关_是否展预测结果:
                #cv2.waitKey(100)
                pass

            if self.on_rec == False:
                # 分割路径为目录和文件名
                dir_path, filename = os.path.split(image_path)
                # 分割文件名和后缀
                name, extension = os.path.splitext(filename)
                new_file=image_path_lujin

                cv2.circle(big_img, result_post, 2, (0,0, 255), -1)
                for point in self.interest_point:
                    cv2.circle(big_img, point, 2, (0, 255, 0), -1)
                # 保存图像
                with open(new_file, 'wb') as f:
                    f.write( cv2.imencode(extension, big_img)[1].tobytes())
                logger.info("录制完成! 保存在了:"+new_file)
                return
            # big_img = big_img_bk.copy()
            small_img = screenshot(hwnd, left, top, right, bottom, None)

            ret = find_img_all_sift(big_img_yt, small_img,roi)

            try:
                for result in ret:
                    result_post = [result["result"][0], result["result"][1]]
                    sm_width,sm_height= result["rectangle"][2][0]-result["rectangle"][0][0],result["rectangle"][2][1]-result["rectangle"][0][1]
                    cv2.circle(big_img, result_post, 2, (255, 0, 0), -1)
                    roi = [result["rectangle"][0][0]-40 ,result["rectangle"][0][1]-40, sm_width+80 , sm_height+80 ]
                    if roi[0] < 0:
                        roi[0] = 0
                    if roi[1] < 0:
                        roi[1] = 0

                    if roi[2] > big_width:
                        roi[0] = big_width - roi[2]
                    if roi[3] > big_height:
                        roi[1] = big_height - roi[3]
                    self.now_point = result_post
                    # 显示匹配结果
                    break


            except :
                logger.error(traceback.format_exc())
                roi=None
            if state.开关_是否展预测结果:
                if big_img.shape[2] == 4:

                    state.图片_找图 = cv2.cvtColor(big_img, cv2.COLOR_BGRA2BGR)
                else:
                    state.图片_找图 = big_img

                state.QT_信号.mysig_show_xunlu.emit()
                #cv2.imshow('Genshin navigation'+sj, big_img)
        if state.开关_是否展预测结果:
            pass
            #cv2.destroyAllWindows()
        return True
    def run_chuansong(self, image_path,maodian_path=""):
        '''
        传送
        :param image_path_map: 地图路径 有障碍物的
        :param image_path: 原图
        :return:
        '''

        # 获取窗口句柄
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
        rect = win32gui.GetWindowRect(hwnd)
        w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
        # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)
        left, top, right, bottom =0,0,1920,1080 # 替换成你实际的区域坐标

        p_left = rect[0] + w_p+left
        p_top = rect[1] + h_p+top
        roi = None
        moban_img = cv2.imdecode(np.fromfile(file=image_path, dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        if maodian_path!="":
            moban_maodian_img = cv2.imdecode(np.fromfile(file=maodian_path, dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        else:
            moban_maodian_img=None

        chuangsong_img=cv2.imdecode(np.fromfile(file="./datas/传送按钮.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
        def ddd():
            paimeng_img = cv2.imdecode(np.fromfile(file="./datas/派蒙.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)
            for _ in range(20):
                time.sleep(1)
                big_img = screenshot(hwnd, left, top, right, bottom, None)
                res = template_matching(big_img, paimeng_img, mask=None)
                if state.状态_循环开关 == False:
                    logger.info("强制退出!")
                    state.状态_需重新传送 = False
                    return False

                for result in res:
                    result_post = [result["result"][0], result["result"][1]]
                    logger.info("传送完成!")
                    # 将数组从行向量转换为列向量
                    # pts = pts.reshape((-1, 1, 2))
                    if state.开关_是否展预测结果:
                        # 转换为 NumPy 数组
                        pts = np.array(
                            (
                                result['rectangle'][0], result['rectangle'][1], result['rectangle'][3],
                                result['rectangle'][2]),
                            np.int32)
                        cv2.circle(big_img, result_post, 10, (0, 0, 255), -1)
                        cv2.polylines(big_img, [pts], True, (0, 255, 0), 5)
                        # cv2.imshow('Genshin navigation'  , big_img)
                        if big_img.shape[2] == 4:

                            state.图片_找图 = cv2.cvtColor(big_img, cv2.COLOR_BGRA2BGR)
                        else:
                            state.图片_找图 = big_img
                        state.QT_信号.mysig_show_xunlu.emit()
                    state.状态_传送中 = False
                    state.状态_需重新传送 = False
                    return True
            state.状态_需重新传送 = True

            logger.info("需要重新传送! (注意检查一下 桌面缩放是否为100%)")

            return False
        big_img = screenshot(hwnd, left, top, right, bottom, None)
        res = find_img_all_sift(big_img, moban_img,roi)
        time.sleep(1)
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
        set_window_activate(hwnd)
        time.sleep(0.2)

        if state.状态_循环开关== False:
            logger.info("强制退出!")
            state.状态_需重新传送 = False
            return False

        try:
            if len(res) == 0:
                logger.info(f"没定位到传送模板")
                state.状态_需重新传送 = True
                return False
            for result in res:
                logger.info("找到了传送位置")
                result_post = [result["result"][0], result["result"][1]]
                if state.开关_是否展预测结果:
                    cv2.circle(big_img, result_post, 10, (0, 0, 255), -1)
                    cv2.polylines(big_img, result['dst_pot'], True, (0, 255, 0), 5)
                    #cv2.imshow('Genshin navigation'  , big_img)
                    #cv2.imwrite("./output.jpg", big_img)
                    if big_img.shape[2] == 4:

                        state.图片_找图 = cv2.cvtColor(big_img, cv2.COLOR_BGRA2BGR)
                    else:
                        state.图片_找图 = big_img
                    state.QT_信号.mysig_show_xunlu.emit()
                #cv2.waitKey(100)
                # 显示匹配结果
                mouse_move(p_left +result_post[0], p_top + result_post[1])
                time.sleep(0.1)
                mouse_left_down()
                time.sleep(0.1)
                mouse_left_up()
                time.sleep(0.5)

                break

        except Exception as err:
            logger.info(f"没找到传送位置{err}")
            state.状态_需重新传送 = True
            return False
        time.sleep(0.5)
        if state.状态_循环开关 == False:
            state.状态_需重新传送 = False
            logger.info("强制退出!")

            return False

        big_img = screenshot(hwnd, left, top, right, bottom, None)
        res=template_matching(big_img, chuangsong_img, mask=None)
        ret = False
        try:

            for result in res:

                result_post = [result["result"][0], result["result"][1]]
                logger.info(f"找到了传送按钮1{result_post}  {result['confidence']}")

                # 转换为 NumPy 数组
                pts = np.array((result['rectangle'][0], result['rectangle'][1], result['rectangle'][3], result['rectangle'][2]), np.int32)
                # 将数组从行向量转换为列向量
                #pts = pts.reshape((-1, 1, 2))
                if state.开关_是否展预测结果:
                    cv2.circle(big_img, result_post, 10, (0, 0, 255), -1)
                    cv2.polylines(big_img, [pts], True, (0, 255, 0), 5)
                    # cv2.imshow('Genshin navigation'  , big_img)
                    #cv2.imwrite("./output.jpg", big_img)
                    if big_img.shape[2] == 4:

                        state.图片_找图 = cv2.cvtColor(big_img, cv2.COLOR_BGRA2BGR)
                    else:
                        state.图片_找图 = big_img
                    state.QT_信号.mysig_show_xunlu.emit()
                # cv2.waitKey(100)
                # 显示匹配结果
                mouse_move(p_left + result_post[0]+100, p_top + result_post[1])
                time.sleep(0.1)
                mouse_left_down()
                time.sleep(0.1)
                mouse_left_up()
                time.sleep(0.5)

                return ddd()



        except Exception as err:
            logger.info(f"没有找到传送按钮{err}")
            state.状态_需重新传送 = True
            return False
        if ret != True:
            time.sleep(0.5)
            if state.状态_循环开关== False:
                state.状态_需重新传送 = False
                logger.info("强制退出!")
                return False
            big_img = screenshot(hwnd, left, top, right, bottom, None)
            res = find_img_all_sift(big_img, moban_maodian_img, None)
            ret = False
            try:
                if res == []:
                    logger.info("传送失败")
                    state.状态_需重新传送 = True
                    return False
                for result in res:

                    result_post = [result["result"][0], result["result"][1]]
                    if result["result"][0]<581 and result["result"][1]<401:
                        ret = False
                        continue
                    if result['confidence']<0.8:
                        ret = False
                        continue
                    logger.info(f"找到了锚点选项 {result_post} {result['confidence']}")
                    if state.开关_是否展预测结果:
                        cv2.circle(big_img, result_post, 10, (0, 0, 255), -1)
                        cv2.polylines(big_img, result['dst_pot'], True, (0, 255, 0), 5)
                        # cv2.imshow('Genshin navigation'  , big_img)
                        #cv2.imwrite("./output.jpg", big_img)
                        if big_img.shape[2] == 4:

                            state.图片_找图 = cv2.cvtColor(big_img, cv2.COLOR_BGRA2BGR)
                        else:
                            state.图片_找图 = big_img
                        state.QT_信号.mysig_show_xunlu.emit()
                        # cv2.waitKey(100)
                    # 显示匹配结果
                    mouse_move(p_left + result_post[0], p_top + result_post[1])
                    time.sleep(0.1)
                    mouse_left_down()
                    time.sleep(0.1)
                    mouse_left_up()
                    time.sleep(0.5)
                    ret = True
                    break

            except Exception as err:
                logger.info(f"没找到锚点选项{err}" )
                state.状态_需重新传送 = True
                pyautogui.keyDown("esc")
                time.sleep(0.2)
                pyautogui.keyUp("esc")
                time.sleep(1)
                pyautogui.keyDown("esc")
                time.sleep(0.2)
                pyautogui.keyUp("esc")
                return False

            if ret == True:
                big_img = screenshot(hwnd, left, top, right, bottom, None)
                res = template_matching(big_img, chuangsong_img, mask=None)
                if state.状态_循环开关 == False:
                    logger.info("强制退出!")
                    state.状态_需重新传送 = False
                    return False
                try:
                    if res==[]:
                        logger.info("传送失败")
                        state.状态_需重新传送 = True
                        pyautogui.keyDown("esc")
                        time.sleep(0.2)
                        pyautogui.keyUp("esc")
                        time.sleep(1)
                        pyautogui.keyDown("esc")
                        time.sleep(0.2)
                        pyautogui.keyUp("esc")

                        return False
                    for result in res:
                        result_post = [result["result"][0], result["result"][1]]
                        logger.info(f"找到了传送按钮2{result_post}  {result['confidence']}" )

                        # 转换为 NumPy 数组
                        pts = np.array((result['rectangle'][0], result['rectangle'][1], result['rectangle'][3],
                                        result['rectangle'][2]), np.int32)

                        # 将数组从行向量转换为列向量
                        # pts = pts.reshape((-1, 1, 2))
                        if state.开关_是否展预测结果:
                            cv2.circle(big_img, result_post, 10, (0, 0, 255), -1)
                            cv2.polylines(big_img, [pts], True, (0, 255, 0), 5)
                            # cv2.imshow('Genshin navigation'  , big_img)
                            #cv2.imwrite("./output.jpg", big_img)
                            if big_img.shape[2] == 4:

                                state.图片_找图 = cv2.cvtColor(big_img, cv2.COLOR_BGRA2BGR)
                            else:
                                state.图片_找图 = big_img
                            state.QT_信号.mysig_show_xunlu.emit()
                        # cv2.waitKey(100)
                        # 显示匹配结果
                        mouse_move(p_left + result_post[0]+100, p_top + result_post[1])
                        time.sleep(0.1)
                        mouse_left_down()
                        time.sleep(0.1)
                        mouse_left_up()
                        time.sleep(0.5)
                        return ddd()

                except Exception as err:
                    logger.info(f"传送失败{err}" )
                    state.状态_需重新传送 = True
                    pyautogui.keyDown("esc")
                    time.sleep(0.2)
                    pyautogui.keyUp("esc")
                    time.sleep(1)
                    pyautogui.keyDown("esc")
                    time.sleep(0.2)
                    pyautogui.keyUp("esc")
                    return False

            else:
                logger.info("传送失败")
                state.状态_需重新传送 = True
                pyautogui.keyDown("esc")
                time.sleep(0.2)
                pyautogui.keyUp("esc")
                time.sleep(1)
                pyautogui.keyDown("esc")
                time.sleep(0.2)
                pyautogui.keyUp("esc")
                return False
        #cv2.destroyAllWindows()
        return True
    def run_playback(self, image_path_map, image_path,wakuang=False,caiji=False,quickening_keys=None):
        '''
        执行寻路 直到移动到目标为止
        :param image_path_map: 地图路径 有障碍物的
        :param image_path: 原图
        :param isShow: 是否显示地图
        :param quickening_keys: 用来随机赶路的按钮 比如
        [{"probability":0.1,"keys":[ {"key":"1","time":0.2 }, {"key":"e","time":0.5}]}]
        代表概率10%(100毫秒一次判断) 按1 0.2秒  然后 按E 1秒  支持无数组合
        :return:
        '''

        self.isRunRec = False
        state.状态_循环开关= True
        state.状态_已经有寻路了=True
        self.load_map(image_path_map)
        self.map_matrix_copy = self.map_matrix.copy()
        def setangle(angle_now, angle_target, fault=6):
            nonlocal best_angle,quickening_keys

            ret=True

            angle_diff = abs(angle_now - angle_target)
            if angle_diff <= fault:
                ret= False
            if state.状态_循环开关== False:
                logger.info("强制退出1!")
                pyautogui.keyUp('w')
                ret= False
            if ret==False:
                return False

            angle_diff = int((angle_target - angle_now) % 360)
            if angle_diff > 180:
                fangxiang = -1
                angle_diff = 360 - angle_diff
            else:
                fangxiang = 1
            if abs(angle_diff < fault):
                return True
            #print(f"调整视角 相差:{fangxiang * angle_diff}° 当前:{angle_now}° 目标:{angle_target}°  ")
            mouse_moveR(int(fangxiang * 5 * angle_diff), 0)
            time.sleep(0.05)
            return True

        state.计次_定位失败=0
        # 获取窗口句柄
        hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄

        while True:
            time.sleep(1)
            if self.get_window_handle_at_mouse_position() == hwnd:
                break
            if state.状态_循环开关== False:
                logger.info("强制退出!")
                pyautogui.keyUp('w')
                state.状态_已经有寻路了 = False
                state.状态_需重新传送 = False
                return False

        # 设定保存截图的文件夹路径和文件名前缀
        #folder_path = "./datas/img/"
        # 设定定时器间隔(秒)
        roi=None

        big_img_bk = cv2.imdecode(np.fromfile(file=image_path, dtype=np.uint8),cv2.IMREAD_UNCHANGED)  # 加载大图
        big_height, big_width, big_td = big_img_bk.shape
        if big_td==3:
            # # 将24位彩色图片转换为32位彩色图片
            big_img_bk = cv2.cvtColor(big_img_bk, cv2.COLOR_BGR2BGRA)#BGRA    COLOR_BGR2BGRA
        template = cv2.imdecode(np.fromfile(file=r"./datas/小图.png", dtype=np.uint8), cv2.IMREAD_UNCHANGED)  # 加载透明图
        mask = template[:, :, 3]  # 提取透明度通道作为掩码
        paimeng_img = cv2.imdecode(np.fromfile(file="./datas/派蒙.png", dtype=np.uint8),
                                   cv2.IMREAD_UNCHANGED)
        result_old = {"result": [0, 0]}
        state.计数_卡主次数=0
        state.状态_在爬墙=False
        interest_coordinate2=None
        interest_coordinate=None

        state.游戏_打怪前坐标 = [0, 0]
        state.游戏_当前目标坐标 = [0, 0]
        state.计次_误差过大=0
        self.old_point= [0, 0]
        state.计次_识别次数=0
        state.计次_移动停滞 =0

        while True:
            #old_time = time.time()
            try:
                time.sleep(0.01)
                if state.状态_循环开关 == False:
                    logger.info("强制退出!")
                    pyautogui.keyUp('w')
                    state.状态_已经有寻路了 = False
                    state.状态_需重新传送 = False
                    return False
                # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)
                left, top, right, bottom = self.小地图区域  # 替换成你实际的区域坐标
                if state.状态_全局暂停:
                    time.sleep(1)
                    continue
                if not state.状态_YOLOV :
                    time.sleep(1)
                    continue
                if state.计次_误差过大 == 20:
                    self.old_point = copy.copy(state.游戏_当前目标坐标)
                if state.计次_误差过大>= 30:
                    logger.info("误差过大了30次,重新运行这个任务")
                    pyautogui.keyUp('w')
                    state.状态_已经有寻路了 = False
                    state.状态_需重新传送 = True
                    return False

                if state.计次_移动停滞>=20:
                    logger.info("移动停滞了20次,重新运行这个任务")
                    pyautogui.keyUp('w')
                    state.状态_已经有寻路了 = False
                    state.状态_需重新传送 = True
                    return False
                if state.计次_定位失败>=30:
                    logger.info("定位失败次数超过30次,重新运行这个任务")
                    pyautogui.keyUp('w')
                    state.状态_已经有寻路了 = False
                    state.状态_需重新传送 = True
                    return False
                self.quickening(quickening_keys)
                big_img = big_img_bk.copy()
                #filename = f"{folder_path}{int(time.time())}.png"
                height = bottom - top
                width = right - left
                small_img = screenshot(hwnd, left, top, right, bottom, filename=None)#RGBA

                if type(small_img)==bool:
                    hwnd = win32gui.FindWindow("UnityWndClass", state.GAME_TITLE)  # 替换成你实际的窗口句柄
                    time.sleep(1)
                    continue

                # 识别位置和方向
                _, max_similarity, best_angle, best_rotated_template = pyramid_template_matching(
                    small_img[int(height / 2) - 30:int(height / 2) + 30, int(width / 2) - 30:int(width / 2) + 30],
                    template,
                    mask=mask)
                best_angle = int(best_angle)
                #cv2.imwrite(filename,small_img)
                #cv2.imwrite(f"{folder_path}{int(time.time())}_111.png",small_img[int(height / 2) - 30:int(height / 2) + 30, int(width / 2) - 30:int(width / 2) + 30])

                # 识别位置和方向
                state.游戏_当前视野角度= get_view(small_img[int(height / 2) - 70:int(height / 2) + 70, int(width / 2) - 70:int(width / 2) + 70],70)

                if state.游戏_当前视野角度==-1:

                    state.游戏_当前视野角度=best_angle
                state.游戏_当前导航角度=best_angle

                #print(state.游戏_当前视野角度,state.游戏_当前导航角度)
                # 裁剪图像,去除Alpha通道
                # small_img=small_img[:, :, :3]
                ret = find_img_all_sift(big_img, small_img,roi)

                if ret==None or ret == []:
                    logger.info(f"定位失败{state.计次_定位失败}" )
                    state.计数_卡主次数 += 1
                    state.计次_定位失败 += 1
                    if state.计次_定位失败>=15:
                        pyautogui.keyDown('shift')
                        time.sleep(0.3)
                        pyautogui.keyUp('shift')
                    # 如果定位失败,判断派蒙是否存在
                    #如果派蒙不在 并且不是在连招过程中,则说明现在 在不明界面中,尝试按ESC键和点击指定位置跳过对话
                    res__ = template_matching(screenshot(hwnd, 0, 0, 1920, 1080, filename=None), paimeng_img, mask=None)
                    if res__==[] and state.状态_是否回放中==False:
                        logger.info("发现不明界面,尝试按ESC键和点击指定位置跳过对话")
                        rect = win32gui.GetWindowRect(hwnd)
                        w_p, h_p = (rect[2] - rect[0]) - 1920, (rect[3] - rect[1]) - 1080
                        # 设定截图区域的左上角坐标 (x, y) 和右下角坐标 (x, y)

                        p_left = rect[0] + w_p
                        p_top = rect[1] + h_p

                        mouse_move(p_left+1400,p_top+584)
                        time.sleep(0.2)
                        mouse_left_down()
                        time.sleep(0.2)
                        mouse_left_up()
                        time.sleep(0.2)

                        mouse_move(p_left + 1412, p_top + 652)
                        time.sleep(0.2)
                        mouse_left_down()
                        time.sleep(0.2)
                        mouse_left_up()
                        time.sleep(0.2)

                        mouse_move(p_left + 1419, p_top + 729)
                        time.sleep(0.2)
                        mouse_left_down()
                        time.sleep(0.2)
                        mouse_left_up()
                        time.sleep(0.2)

                        mouse_move(p_left + 1380, p_top + 801)
                        time.sleep(0.2)
                        mouse_left_down()
                        time.sleep(0.2)
                        mouse_left_up()
                        if random.randint(0,2)==1:
                            time.sleep(0.2)
                            pyautogui.keyDown("esc")
                            time.sleep(0.2)
                            pyautogui.keyUp("esc")



                    if state.状态_寻路中:

                        if roi==None:
                            if result_old!={"result": [0, 0]}:
                                ret = [result_old]
                            else:
                                roi = None
                                continue
                        else:
                            roi = None
                            continue
                    roi=None
                for result in ret:
                    if result["result"] !=result_old["result"] :
                        state.计次_定位失败 = 0
                    sm_width,sm_height= result["rectangle"][2][0]-result["rectangle"][0][0],result["rectangle"][2][1]-result["rectangle"][0][1]
                    state.游戏_当前坐标 = [result["result"][0], result["result"][1]]
                    roi = [result["rectangle"][0][0]-40 ,result["rectangle"][0][1]-40, sm_width+80 , sm_height+80 ]
                    if  roi[0]<0:
                        roi[0]=0
                    if roi[1]<0:
                        roi[1]=0
                    if roi[2]>big_width:
                        roi[0]=big_width-roi[2]
                    if roi[3] > big_height:
                        roi[1] = big_height - roi[3]
                    self.update_map_show(big_img)
                    if state.状态_寻路中:
                        if state.游戏_当前坐标[0] < 0 or state.游戏_当前坐标[1] < 0:
                            roi = None
                            break
                        if abs(state.游戏_当前坐标[0] - self.end[0]) <= 120 and abs(
                                state.游戏_当前坐标[1] - self.end[1]) <= 120 and quickening_keys != None:
                            # 快到终点了,ban掉这些赶路的,防止走错地方
                            quickening_keys = None


                        if abs(state.游戏_当前坐标[0] - self.end[0]) <= 4 and abs(state.游戏_当前坐标[1] - self.end[1]) <= 4:
                            logger.info("已经到达目的地")
                            pyautogui.keyUp('w')
                            state.状态_已经有寻路了 = False
                            state.状态_需重新传送 = False
                            return True
                    state.计次_识别次数+=1
                    if state.计次_识别次数>=8:
                        if state.状态_是否回放中==False  and state.状态_寻路中:


                            if abs(state.游戏_当前坐标[0] - result_old["result"][0]) <=3 and abs(
                                    state.游戏_当前坐标[1] - result_old["result"][1]) <= 3 :
                                state.计次_移动停滞 += 1
                                state.计数_卡主次数+=1

                                if state.计数_卡主次数 >= 10:
                                    if abs(state.游戏_当前坐标[0] - self.end[0]) <= 20 and abs(
                                            state.游戏_当前坐标[1] - self.end[1]) <= 20:
                                        logger.info("非常接近目的地了!但是遇到意外,因此跳过这个任务!")
                                        pyautogui.keyUp('w')
                                        state.状态_已经有寻路了 = False
                                        state.状态_需重新传送 = False
                                        return True

                                    if random.randint(0, 1):
                                        pyautogui.keyDown('a')
                                        aaa = -90
                                    else:
                                        pyautogui.keyDown('d')
                                        aaa = 90
                                    pyautogui.keyUp('w')
                                    mouse_moveR(6 * aaa, 0)
                                    state.计数_卡主次数 = 0
                                    logger.info("卡主太多次,尝试按X")
                                    pyautogui.keyDown('x')
                                    time.sleep(0.2)
                                    pyautogui.keyUp('x')
                                    time.sleep(1)
                                    pyautogui.keyUp('d')
                                    pyautogui.keyUp('a')
                                    pyautogui.keyDown('w')
                                    pyautogui.keyDown('x')
                                    time.sleep(0.2)
                                    pyautogui.keyUp('x')
                                    time.sleep(5)
                                    pyautogui.keyUp('w')
                                else:

                                    logger.info("尝试脱困")
                                    pyautogui.keyDown('w')
                                    pyautogui.keyDown('space')
                                    time.sleep(0.2)
                                    pyautogui.keyUp('space')
                                    rrrr = random.randint(1, 20)
                                    if rrrr == 3:
                                        pyautogui.keyDown('a')
                                        time.sleep(1)
                                        pyautogui.keyUp('a')
                                    elif rrrr == 1:
                                        pyautogui.keyDown('d')
                                        time.sleep(1)
                                        pyautogui.keyUp('d')
                                    elif rrrr == 2:
                                        pyautogui.keyUp('w')
                                        pyautogui.keyDown('d')
                                        pyautogui.keyDown('s')
                                        time.sleep(1)
                                        pyautogui.keyUp('s')
                                        pyautogui.keyUp('d')

                                        time.sleep(2)
                                        pyautogui.keyDown('w')
                                    elif rrrr == 4:
                                        pyautogui.keyUp('w')
                                        pyautogui.keyDown('a')
                                        pyautogui.keyDown('s')
                                        time.sleep(1)
                                        pyautogui.keyUp('s')
                                        pyautogui.keyUp('a')

                                        time.sleep(2)
                                        pyautogui.keyDown('w')
                                    time.sleep(0.2)
                                    pyautogui.keyUp('w')


                            else:
                                state.计次_移动停滞 -=1
                                if state.计次_移动停滞 <= 0:
                                    state.计次_移动停滞=0
                                state.计数_卡主次数=0

                    if state.计次_识别次数 >= 8:
                        result_old = result.copy()
                        state.计次_识别次数=0
                    if state.开关_是否展预测结果:
                        #cv2.polylines(big_img, result['dst_pot'], True, (0, 255, 0), 5)
                        # 获取小图的宽度和高度
                        small_height, small_width, small_channels = best_rotated_template.shape
                        best_rotated_template = cv2.resize(best_rotated_template,
                                                           (int(small_width * 2), int(small_height * 2)))
                        small_height, small_width, small_channels = best_rotated_template.shape
                        # 计算放置小图像的左上角坐标,使其居中在result位置
                        x = state.游戏_当前坐标[0] - int(small_width / 2)
                        y = state.游戏_当前坐标[1] - int(small_height / 2)
                        # 将小图叠加到大图上
                        for c in range(small_channels):
                            big_img[y:y + small_height, x:x + small_width, c] = \
                                best_rotated_template[:, :, c] * (best_rotated_template[:, :, 3] / 255.0) + \
                                big_img[y:y + small_height, x:x + small_width, c] * (
                                        1.0 - best_rotated_template[:, :, 3] / 255.0)
                        self.draw_arrow( big_img, state.游戏_当前坐标[0] , state.游戏_当前坐标[1], length=200, angle=state.游戏_当前视野角度)

                    if state.状态_寻路中:

                        #如果刚刚打完怪.需要回到原位
                        if state.游戏_打怪前坐标!=[0,0]:
                            state.游戏_当前目标坐标= copy.copy(state.游戏_打怪前坐标)
                            try:
                                if abs(state.游戏_当前坐标[0] - state.游戏_打怪前坐标[0]) <= 55 and abs(state.游戏_当前坐标[1] - state.游戏_打怪前坐标[1]) <= 55:
                                    state.游戏_打怪前坐标 = [0, 0]
                                    logger.info("回到之前的位置了")
                                    continue
                            except:
                                state.游戏_打怪前坐标 = [0, 0]
                                logger.info("回到之前的位置了")
                                continue
                        else:
                            state.游戏_当前目标坐标,interest_coordinate  = self.find_nearest_coordinate(self.map_matrix_copy, state.游戏_当前坐标,50,distance_min=8)
                            if state.游戏_当前目标坐标 == None:
                                state.游戏_当前目标坐标,interest_coordinate  = self.find_nearest_coordinate(self.map_matrix_copy,state.游戏_当前坐标, None, distance_min=8)

                            if state.游戏_当前目标坐标 == None:
                                state.游戏_当前目标坐标 = copy.copy(self.old_point)

                            if self.old_point!=[0,0] and state.游戏_当前目标坐标!=[0,0]:

                                if abs(state.游戏_当前坐标[0]-self.old_point[0])>=70 or abs(state.游戏_当前坐标[1]-self.old_point[1])>=70:
                                    state.游戏_当前坐标=copy.copy(self.old_point )
                                    logger.info("定位误差过大!!")
                                    state.计次_误差过大+=1
                                else:
                                    state.计次_误差过大=0

                        if state.计次_误差过大==0:
                            self.old_point = copy.copy(state.游戏_当前坐标)


                        if interest_coordinate!=None:
                            interest_coordinate2=copy.copy(interest_coordinate)

                        if interest_coordinate2!=None:

                            if abs(state.游戏_当前坐标[0] - interest_coordinate2[0]) <= 5 and abs(state.游戏_当前坐标[1] - interest_coordinate2[1]) <= 5:
                                logger.info("附近有兴趣点!")
                                state.计时_未寻路 = int(time.time())
                                state.状态_寻路中 = False
                                state.游戏_打怪前坐标 = copy.copy(state.游戏_当前目标坐标)
                                state.计数_没找到任何目标 = 0
                                state.计数_没找到怪物 = 0
                                pyautogui.keyUp('w')
                                state.计数_卡主次数 = 0
                                state.计次_识别次数 = 0
                                mouse_left_down()
                                mouse_left_up()
                                if wakuang or caiji:
                                    logger.info("在连招中....")
                                    pyautogui.keyDown('x')
                                    time.sleep(0.2)
                                    pyautogui.keyUp('x')
                                    state.状态_是否回放中 = True
                                    tangbaowss.send_msg(" 脚本执行#@@#2")
                                time.sleep(1)
                                self.remove_coordinates_in_range_map(self.map_matrix_copy, interest_coordinate2, 5,state.游戏_当前目标坐标)
                                if self.map_matrix_copy[interest_coordinate2[0]][interest_coordinate2[1]]==-1:
                                    interest_coordinate=None
                                    interest_coordinate2=None

                        self.map_matrix_copy = self.remove_coordinates_in_range_map(self.map_matrix_copy,state.游戏_当前坐标,8, state.游戏_当前目标坐标)



                        if state.游戏_当前目标坐标 == None:
                            for _ in range(30):
                                if not state.状态_寻路中:
                                    break
                                small_img = screenshot(hwnd, left, top, right, bottom, filename=None)  # RGBA
                                # 识别位置和方向
                                state.游戏_当前视野角度 = get_view(small_img[int(height / 2) - 70:int(height / 2) + 70,
                                                                   int(width / 2) - 70:int(width / 2) + 70], 70)
                                rrr=setangle(state.游戏_当前视野角度, self.get_next_angle(state.游戏_当前坐标, self.end))
                                if rrr==False:
                                    break
                        else:
                            for _ in range(30):
                                if not state.状态_寻路中:
                                    break
                                small_img = screenshot(hwnd, left, top, right, bottom, filename=None)  # RGBA
                                # 识别位置和方向
                                state.游戏_当前视野角度 = get_view(small_img[int(height / 2) - 70:int(height / 2) + 70,
                                                                   int(width / 2) - 70:int(width / 2) + 70], 70)
                                rrr=setangle(state.游戏_当前视野角度, self.get_next_angle(state.游戏_当前坐标, state.游戏_当前目标坐标))

                                if rrr==False:
                                    break

                        pyautogui.keyDown('w')

                    if state.开关_是否展预测结果:
                        cv2.circle(big_img, state.游戏_当前目标坐标, 10, (255, 24, 255), -1)
                        if big_img.shape[2] == 4:

                            state.图片_找图 = cv2.cvtColor(big_img, cv2.COLOR_BGRA2BGR)
                        else:
                            state.图片_找图 = big_img
                        state.QT_信号.mysig_show_xunlu.emit()
                        # # 显示匹配结果
                        # cv2.imshow('Genshin navigation', big_img)
                    #print(f"识别时间:{time.time() - old_time}")
                    break

            except :


                time.sleep(0.3)
                state.计数_卡主次数 += 1
                state.计次_定位失败 += 1

                if state.计次_定位失败 >= 15:
                    pyautogui.keyDown('shift')
                    time.sleep(0.3)
                    pyautogui.keyUp('shift')
                roi = None
                #traceback.print_exc()
    def update_map_show(self,big_img):
        for rdex, rowitem in enumerate(self.map_matrix_copy):
            for cdex, column in enumerate(rowitem):
                # 只判断符合范围内的  并且是 >1则是路线范围的坐标
                if column > 0:
                    point=(rdex,cdex)
                    if column==1:
                        cv2.circle(big_img, point, 2, (255, 0, 0), -1)
                    elif column==2:
                        cv2.circle(big_img, point, 4, (0, 255, 0), -1)
                    elif column==3:

                        cv2.circle(big_img, point, 4, (0, 0, 255), -1)
    def quickening(self,quickening_keys=None):
        '''

        :param quickening_keys: 用来随机赶路的按钮 比如 [{"probability":0.1,"keys":[ {"key":"1","time":0.2 }, {"key":"e","time":0.5}]}]  代表概率10% 按1 0.2秒  然后 按E 1秒  支持无数组合
        :return:
        '''
        if quickening_keys==None:
            return False
        for quickening_key in quickening_keys:
            if random.randint(1,100)<quickening_key["probability"]*100:
                for key in  quickening_key["keys"]:
                    if state.状态_循环开关== False:
                        logger.info("强制退出!")
                        pyautogui.keyUp('w')
                        return False
                    logger.info(f"触发赶路按键:{key['key']}")
                    pyautogui.keyDown(key["key"])
                    time.sleep(key["time"])
                    pyautogui.keyUp(key["key"])
                    time.sleep(0.1)

        return True
    def get_next_angle(self, start_pos, next_pos):
        # 计算方向向量
        direction_x = next_pos[0] - start_pos[0]
        direction_y = next_pos[1] - start_pos[1]

        # 使用反正切函数计算弧度角度值
        angle_rad = math.atan2(direction_y, direction_x)

        # 将弧度角度值转换为以北方向为0度的角度
        angle_deg = math.degrees(angle_rad)
        # 将角度值转换为顺时针方向
        angle_deg = int((angle_deg + 360 + 90) % 360)

        return angle_deg
    def find_nearest_coordinate(self,coordinates, my_position,range_limit=100,distance_min=0):
        '''
        寻找当前位置最近的坐标点 顺便返回最近的兴趣点
        :param coordinates:
        :param my_position:
        :param range_limit: # 搜索范围半径为50 提高效率
        :return:
        '''
        min_distance_coordinate = float('inf')
        nearest_coordinate =None
        interest_coordinate=None
        for rdex,rowitem in enumerate(coordinates) :
            for cdex,column in enumerate(rowitem):
                #只判断符合范围内的  并且是 >1则是路线范围的坐标
                if column>0:

                    #x 附近 range_limit 范围的点  y 附近 range_limit 范围的点
                    if range_limit!=None:

                        if abs(my_position[0]-rdex)<=range_limit and abs(my_position[1]-cdex)<=range_limit :
                            #计算两个坐标点之间的距离  但是不要判断和自己一样的坐标.那没意义
                            if (my_position[0],my_position[1])!=(rdex,cdex):
                                distance = math.sqrt((my_position[0] - rdex) ** 2 + (my_position[1] - cdex) ** 2)


                                if distance>=distance_min:#要比最近小距离大.这样走位才不会老歪歪扭扭
                                    if distance < min_distance_coordinate:
                                        min_distance_coordinate = distance
                                        if column==2:

                                            interest_coordinate=[rdex,cdex]
                                        nearest_coordinate = [rdex,cdex]
                    else:
                        # 计算两个坐标点之间的距离  但是不要判断和自己一样的坐标.那没意义
                        if (my_position[0], my_position[1]) != (rdex, cdex):
                            distance = math.sqrt((my_position[0] - rdex) ** 2 + (my_position[1] - cdex) ** 2)
                            if distance >= distance_min:  # 要比最近小距离大.这样走位才不会老歪歪扭扭
                                if distance < min_distance_coordinate:
                                    min_distance_coordinate = distance
                                    if column == 2:
                                        interest_coordinate = [rdex, cdex]
                                    nearest_coordinate = [rdex, cdex]

        return nearest_coordinate,interest_coordinate
    def on_release(self, key: keyboard.KeyCode):
        """定义释放时候的响应"""
        if key == Key.f9:#停止

            state.状态_循环开关= False
            state.状态_全局暂停=True
            state.状态_已经有寻路了 = False
            state.状态_是否禁止录制=True
            self.on_rec = False
        elif key == Key.f8:
            self.on_rec = False
            if state.状态_是否禁止录制:
                if state.状态_循环开关== False:
                    return

                state.状态_全局暂停=not state.状态_全局暂停
                logger.info(f"state.状态_全局暂停{state.状态_全局暂停}")
                if state.状态_全局暂停:
                    time.sleep(0.3)
                    pyautogui.keyUp('w')


        elif key ==Key.f10:
            if self.isRunRec:
                self.interest_point.append(self.now_point)
                logger.info(f"标记坐标{self.now_point}")
    def load_map(self, image_path):
        '''
        加载地图 这个地图要障碍物地图
        :param image_path:
        :return:
        '''
        logger.info("加载地图中...")
        # 读取图片
        self.image = Image.open(image_path)
        # 获取图片尺寸
        self.width, self.height = self.image.size
        # 定义地图
        self.map_matrix = []
        # 根据像素颜色生成地图数据
        for x in range(self.width):
            row=[]
            for y in range(self.height):
                pixel = self.image.getpixel((x, y))
                if pixel[2] >= 240 and pixel[0] < 20 and pixel[1] < 20:  # 蓝色
                    row.append(1)
                elif pixel[0] >= 240 and pixel[1] < 20 and pixel[2] < 20:  # 红色
                    self.end = (x, y)
                    row.append(3)
                elif pixel[1] >= 240 and pixel[0] < 20 and pixel[2] < 20:  # 绿色
                    row.append(2)

                else:
                    row.append(0)
            self.map_matrix.append(row)
        logger.info("地图加载完毕!")
    def get_window_handle_at_mouse_position(self, ):
        active_hwnd = ctypes.windll.user32.GetForegroundWindow()

        return active_hwnd
    def remove_coordinates_in_range_map(self, coordinates, center, range_limit,nex_pos):
        new_coordinates=coordinates.copy()
        for rdex, rowitem in enumerate(new_coordinates):
            for cdex, column in enumerate(rowitem):
                # 只判断符合范围内的  并且是 >1则是路线范围的坐标
                if column > 0:
                    if (rdex,cdex) == self.end:  # 终点不能删除
                        continue
                    #将附近的点标记为走过了
                    elif abs(center[0]-rdex)<=range_limit and abs(center[1]-cdex)<=range_limit:
                        new_coordinates[rdex][cdex]=-1# 将该点标记为已经走过的,标记为-1
                    elif abs(center[0] - rdex) <= range_limit*2 and abs(center[1] - cdex) <= range_limit*2:
                        angle_target = self.get_next_angle(center, nex_pos)  # 当前位置对准兴趣点的角度
                        angle_coordinate = self.get_next_angle(center, (rdex,cdex))  # 当前成员位置对准结束点的角度
                        angle_diff = abs(angle_target - angle_coordinate)
                        if angle_diff > 160 and angle_diff<=220 :
                            new_coordinates[rdex][cdex]=-1# 将该点标记为已经走过的,标记为-1

        return new_coordinates
    def draw_arrow(self,img, x, y, length=50, angle=45):
        # 箭头的长度和角度(以北方向为0度,顺时针为正方向)
        # 将角度转换为以北方向为0度的角度
        degrees = (450 - angle) % 360
        # 计算箭头末端的坐标
        end_x = int(x + length * np.cos(np.radians(degrees)))
        end_y = int(y - length * np.sin(np.radians(degrees)))
        # 在图像上画线段
        cv2.line(img, (x, y), (end_x, end_y), (0, 0,255), 5)
        # 画箭头头部
        theta = np.radians(degrees)
        arrow_length = 10
        arrow_angle = np.radians(30)
        # 箭头头部的两个端点
        arrow_pt1 = (end_x - int(arrow_length * np.cos(theta + arrow_angle)),
                     end_y + int(arrow_length * np.sin(theta + arrow_angle)))
        arrow_pt2 = (end_x - int(arrow_length * np.cos(theta - arrow_angle)),
                     end_y + int(arrow_length * np.sin(theta - arrow_angle)))
        # 画箭头头部
        cv2.line(img, (end_x, end_y), arrow_pt1, (0, 0,255), 5)
        cv2.line(img, (end_x, end_y), arrow_pt2, (0, 0,255), 5)
        return img

四、添加ui

vi main.py

 if __name__ == '__main__':



     ....
            app = QApplication(sys.argv)  # 初始化Qt应用
            ratio = screen_width / 2560  # 分辨率比例
            # 设置全局字体大小
            # 计算字体大小
            base_font_size = 13
            # 基准字体大小,适合1920*1080分辨率
            new_font_size = int(base_font_size * ratio)
            font = QFont("Arial", new_font_size)

            # 子控件的宽度
            item_width=320
            item_height=240
            item_height_min = 60
            window_main = MainWindow()
            window_main.show()
            sys.exit(app.exec_())  # 监听消息不关闭

ui略多下章看

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