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backup/2.1.py

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+# -*- coding: UTF-8 -*-
+#copyright ： Peterpei 2020 - 2020 version 2.1 2020.4.25
+#be like water
+import os.path , time , os , json , pyautogui , pytesseract , random ,pyperclip#规避可能发生的找不到文件问题
+from PIL import Image , ImageGrab
+lastJson = 0
+
+#读取用户自定设置
+scriptpath = os.path.dirname(__file__)
+userfilename = os.path.join(scriptpath, 'user.json')
+userjson =open(userfilename, encoding = "utf-8", mode="r")
+
+userjson1 = userjson.read()
+userJsonDict = json.loads(userjson1)
+autoMode = userJsonDict["autoMode"]#是否为自动模式,0为不自动，仅显示 1为自动
+nightmode = userJsonDict["NightMode"]#
+deftime = userJsonDict["waitTime"]#自定义等待时长
+rantime = float(deftime)
+
+def openjsonfile():#打开文件
+    filename = os.path.join(scriptpath, 'ThisDataPacketBody.json')
+    openfile=open(filename, encoding = "utf-8", mode="r")
+    GetJson = openfile.read()
+    JsonDict = json.loads(GetJson)
+    global Data
+    Data = JsonDict["data"]#选取源json文件中data部分，继续解析
+    openfile.close()
+    return Data
+
+def judgetype(Data):#解析题型
+    AnswerTypeselect = 'options' in Data.keys() #选择
+    AnswerTypeMultiSelect = 'chance_num' in Data.keys()#多选
+    AnswerTypeMultiCombine = False
+    judgecombine1 = 'stem' in Data.keys()
+    str1 = '_'
+    if judgecombine1 == True:
+        str2 = Data["stem"]["content"] 
+        judgecombine2 = str1 in str2
+        if judgecombine2 == True:
+            AnswerTypeMultiCombine = True#多选词组
+    return AnswerTypeselect , AnswerTypeMultiSelect , AnswerTypeMultiCombine 
+
+def fillchart(Data , rantime ,autoMode):#填空题
+    answer = Data["answer_content"]
+    print   ("正确答案是", answer)
+    pyperclip.copy(answer)
+    if  int(autoMode["fillchart"]) == 1:
+        answerLen = len(answer)
+        questionDir = Data["stem"]
+        question = questionDir["content"]
+        QuestionLeng = len(question)
+        listQuestion = list(question)
+        findLeng = 0
+        while (findLeng < QuestionLeng) :
+            if listQuestion[findLeng] == '{' :
+                break
+            findLeng = findLeng + 1
+
+        if  findLeng < 45:
+            xPosion =  35 + findLeng * 15 + answerLen
+            yPosion = 225
+        else:
+            xPosion = ( findLeng - 45 ) * 10 + 35
+            yPosion = 225 + 40 
+        time.sleep(rantime)#停止点击
+        pyautogui.click(x=xPosion, y=yPosion, clicks=1, button='left')
+        pyautogui.typewrite(answer)
+        pyautogui.click(x=250, y=450, clicks=1, button='left')
+        time.sleep(rantime)#停止点击
+        pyautogui.click(x=450, y=1000, clicks=1, button='left')
+
+def singleSelect(Data , rantime , autoMode):#单选{普通单选 语音单选}
+    Options = Data["options"]
+    questionDir = Data["stem"]
+    question = questionDir["content"]#拿题目长度
+    #获取正确选项
+    a = 0 #I：正确选项次序
+    i = 0  
+    while (a < 3):
+        if Options[i]["answer"] == True:
+            break
+        else:
+            i = i + 1
+            a = a + 1
+    print   ("正确答案是",Options[i]["content"])
+    if int(autoMode["singleSelect"]) == 1:
+        #对题目长度进行分类讨论和适配
+        #重写对行数的函数
+        length = len(question)
+        if 0< length < 20:
+            lengy = 1.5
+        else:#优化语音题的做题速度和逻辑判断
+            position =(0,200,500,800)
+            screenshot = ImageGrab.grab(position)
+            screenshot.save('test2.PNG', "PNG")#截取题目图片并进行OCR
+            file1 = os.path.join(scriptpath, 'test2.PNG')
+            ocr = pytesseract.image_to_string(file1)
+            line = 0
+            null = ""
+            while (ocr.splitlines()[line].strip() != null):
+                line = line + 1
+            lengy = line
+            #第一个数值是初始顶端到第一个选项中心的高度 第二个是各选项中心高度差 第三个是描述题目行数高度
+            #来源1920 x 1080 的数据.
+        ansy = 260 + 70*(i+1) + 45 *(lengy - 1)
+        pyautogui.click(x=300, y=ansy, clicks=1, button='left')
+        pyautogui.click(x=450, y=1000, clicks=1, button='left')
+
+def multicombine(Data , rantime , autoMode):#链接词组题
+    selectnums = Data["stem"]
+    content = selectnums["content"]
+    contentleng = len(content)
+    judgeIfPoints = '..'
+    judgeIfPoint = '.'
+    if judgeIfPoints in content:
+        elements =(contentleng - 1 - 6) / 2 + 1
+    elif judgeIfPoint in content:
+        elements = (contentleng - 1 - 2)/2 + 1
+    else:
+        elements = (contentleng - 1) / 2 + 1
+    a = 0
+    while (a <= 3):
+        if a*4 < elements <= (a + 1)*4 :
+            length = a 
+        a = a + 1
+    #拿到一共需要选几个
+    answerContent = Data["answer_content"]
+    answer = answerContent["answer_arr"]
+    Options = Data["options"]
+    lengans = len(answer)
+    roll1 = 0
+    roll2 = 0
+    while (roll2 < lengans):
+        if answer[roll2] == Options[roll1]["content"] :
+            click = roll1 + 1
+            if click % 2 == 1 :
+                X = 150 
+            else:
+                X = 350
+            Y = ( roll1 // 2 ) * 70 + 500 + length*70
+            print   ("答案是",answer[roll2])
+            if int(autoMode["combine"]) == 1:
+                pyautogui.click(x=X, y=Y, clicks=1, button='left')
+            roll2 = roll2 + 1
+            roll1 = 0
+        else:
+            roll1 = roll1 + 1
+    time.sleep(rantime)#停止点击
+    if int(autoMode["combine"]) == 1:
+        pyautogui.click(x=450, y=1000, clicks=1, button='left')
+
+def multiselectOcr(Data , rantime , autoMode):#新版多选题
+    options = Data["options"]
+    selections = 0
+
+    position =(0,400,500,900)
+    screenshot = ImageGrab.grab(position)
+    screenshot.save('test2.PNG', "PNG")#截取题目图片并进行OCR
+    file1 = os.path.join(scriptpath, 'test2.PNG')
+    ocr = pytesseract.image_to_string(file1)
+    line = 0
+    realline = 0
+    null =""
+    print      ("正确答案是:")
+
+    while True:
+        while (ocr.splitlines()[line].strip() == null):#当行数为空时，自动跳过本行到非空行
+            print   ("empty,skipping")
+            line = line + 1
+        ocrResult =ocr.splitlines()[line].split()#把OCR得到的结果去空，得到纯选项
+        item = 0#定义该行第0个OCR结果
+        X = 35
+
+        while ( item + 1 <= len(ocrResult) ):#对比答案和选项
+            if options[selections]["answer"] == True:
+                Y = (realline+1)*75 + 385
+                if int(autoMode["multiselect"]) == 1:
+                    pyautogui.click(x = X , y = Y)
+                print   (options[selections]["content"])
+            X = len(ocrResult[item])*18 + 55 + X
+            item =item + 1   
+            selections = selections + 1
+
+        if len(ocr.splitlines()) <= line + 1 :#当循环到最后一行时退出循环
+            break
+        line = line + 1
+        realline = realline + 1 
+    if int(autoMode["multiselect"]) == 1:
+        pyautogui.click(x=450, y=1000, clicks=1, button='left')    
+
+def NightMode():
+    print   ("Test only")
+    while True:
+        randX =random.randint(35,400)
+        randY =random.randint(400,800)
+        pyautogui.click(x =randX , y = randY , button = 'left')
+        pyautogui.click(x=450, y=1000, clicks=1, button='left')
+
+
+#主函数
+while True:
+    print   ("<<<<<<<<<<<<<")
+    start_time = time.time()
+    Data = openjsonfile()
+#判断题型
+    if judgetype(Data)[0] == False:
+        fillchart(Data , rantime, autoMode)
+        questionStatus = 'fillchart'
+
+    elif judgetype(Data)[0] == True and judgetype(Data)[1] == False and judgetype(Data)[2] == False:
+        singleSelect(Data , rantime, autoMode)
+        questionStatus = 'singleSelect'
+
+    elif judgetype(Data)[0] == True and judgetype(Data)[1] == True:
+        multiselectOcr(Data , rantime, autoMode)
+        questionStatus = 'multiselect'
+
+    elif judgetype(Data)[2] == True:
+        multicombine(Data, rantime, autoMode)
+        questionStatus = 'combine'
+#bug反馈机制
+    if lastJson == Data :
+        bugreport = bugreport + 1
+        if autoMode[questionStatus] == 1 and bugreport > 5 and nightmode == 0 :
+            break
+        elif autoMode[questionStatus] == 0:
+            time.sleep(2)
+        elif autoMode[questionStatus] == 1 and nightmode == 1:
+            NightMode()
+        else:
+            time.sleep(bugreport*0.5)
+    else:
+        lastJson = Data
+        bugreport = 0
+#
+#    end_time = time.time() - start_time
+#    print   ("time spend",end_time)