给小孩找的麻烦，求大神带着做做实际项目,Python交流,编程语言专区,鱼C论坛

lucky邪神 发表于 2020-3-14 13:46:11

给小孩找的麻烦，求大神带着做做实际项目

今年是机遇之年，这呆在家里都个把月了，没有网络，没有电视，今天才牵的网络。整天在家对着电脑，小孩在们玩的无忧无虑。就给小孩找了点麻烦。

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

lucky邪神 发表于 2020-3-15 10:41:27

本帖最后由 lucky邪神于 2020-3-15 10:44 编辑

import tkinter
#import os
import random

class workitem():
def __init__(self):
   #可以考虑将主界面关闭
   #读取数据库
   self.file1=open('alldata.txt','r')
   self.str1=self.file1.readlines()
   self.file1.close()
   self.itemnum = len(self.str1)
   #取第一个题目
   num=random.randint(0,self.itemnum-1)
   #for num in range(itemnum)
   self.questionitem = self.str1.split(":::")
   self.answeritem = self.str1.split(":::")
   self.worktk=tkinter.Tk(className=' Study Item')
   self.worktk.geometry("1000x600+200+50")

   self.Label1=tkinter.Label(self.worktk,text='题目内容：',font=(15))
   self.Label1.grid(row=0,pady=10,column=0,padx=30,columnspan=1)

   self.text1=tkinter.Text(self.worktk,bg='green',width=60,height=10,font=(15))
   self.text1.grid(row=1,column=1,rowspan=1,columnspan=4)

   self.text1.insert('0.0',self.questionitem)

   self.Label2=tkinter.Label(self.worktk,text='作答区：',font=(15))
   self.Label2.grid(row=2,pady=10,column=0,padx=30,columnspan=1)

   self.text2=tkinter.Text(self.worktk,bg='white',width=60,height=10,font=15)
   self.text2.grid(row=3,column=1,rowspan=1,columnspan=4)

   self.submitbutton=tkinter.Button(self.worktk,text='提交答案',font=("仿宋",15),command=self.submitresult)
   self.submitbutton.grid(padx=5,row=4,column=2)

   self.nextsubmitbutton=tkinter.Button(self.worktk,text='下一个题',font=("仿宋",15),command=self.nextitem)
   self.nextsubmitbutton.grid(padx=5,row=4,column=3)
   pass
"""
def getitem(self):
   self.file1=open('alldata.txt','r')
   str1=self.file1.readlines()
   self.file1.close()
   itemnum = len(str1)
   print(itemnum)
   print(str1)
   print(type(str1))
   num=random.randint(itemnum)
   #for num in range(itemnum)
   questionitem = str1.split(":")
   answeritem = str1.split(":")

   return (questionitem,answeritem)
"""
def submitresult(self):
   #对答案做对比判断，弹出对话框给出结果

   if self.text2.get('0.0','end') == self.answeritem:
         ResultText = "正确，你真棒！"
   else:
         ResultText = "很遗憾！错了！"
         self.text2.delete('0.0','end')
         self.text2.insert('0.0',self.answeritem)

   self.judgement(ResultText)
   pass
def judgement(self,dxt):
   jud = tkinter.Tk(className = "结果判定")
   jud.geometry("250x100+550+255")

   lab=tkinter.Label(jud,text=dxt,font=15)
   lab.grid(row=1,padx=40,pady=10)

   button=tkinter.Button(jud,text="OK",font=15,command=jud.destroy)
   button.grid(row=2,padx=42,pady=11)
def nextitem(self):
   #从题库中随机抽取一个题
   self.text1.delete('0.0','end')
   self.text2.delete('0.0','end')

   num=random.randint(0,self.itemnum-1)

   self.questionitem = self.str1.split(":::")
   self.answeritem = self.str1.split(":::")

   self.text1.insert('0.0',self.questionitem)

   pass

class additem():
def __init__(self):
   self.addtk=tkinter.Tk(className=' Add Item')
   self.addtk.geometry("1000x600+200+50")
   addtk=self.addtk

   self.Label1=tkinter.Label(self.addtk,text='题目内容：',font=(15))
   self.Label1.grid(row=0,pady=10,column=0,padx=30,columnspan=1)

   self.text1=tkinter.Text(self.addtk,bg='green',width=60,height=10,font=(15))
   self.text1.grid(row=1,column=1,rowspan=1,columnspan=4)

   self.Label2=tkinter.Label(self.addtk,text='答案解析：',font=(15))
   self.Label2.grid(row=2,pady=10,column=0,padx=30,columnspan=1)

   self.text2=tkinter.Text(self.addtk,bg='white',width=60,height=10,font=15)
   self.text2.grid(row=3,column=1,rowspan=1,columnspan=4)

   self.submitbutton=tkinter.Button(self.addtk,text='提交题库',font=("仿宋",15),command=self.submititem)
   self.submitbutton.grid(padx=5,row=4,column=2)

   self.nextsubmitbutton=tkinter.Button(self.addtk,text='下一个题',font=("仿宋",15),command=self.nextsubmititem)
   self.nextsubmitbutton.grid(padx=5,row=4,column=3)

def submititem(self):
   #将题目和答案解析存储，考虑这两个元素组合成{题目：答案}的字典做为另一个字典的value，序号作为键值key
   file1=open('alldata.txt','a+')

   submitdict={}    #考虑从库中读取

   #输入为空的情况后续在更新
   textitem = self.text1.get('0.0','end')
   answeritem = self.text2.get('0.0','end')
   submitdict = answeritem #新输入的题目和答案
   file1.writelines(textitem[:-1])
   file1.write(':::')
   file1.writelines(answeritem[:-1])
   file1.write('\n')
   file1.close()
   #print(submitdict)
   #print(textitem.get('0.0','end'))
   pass
def nextsubmititem(self):
   #将写好的题存储到题库，清除前面两个文本框中的值
   #self.submititem()       #暂时考虑写完一个题目后已经提交题库
   self.text1.delete('0.0','end')
   self.text2.delete('0.0','end')


   pass

welcometk = tkinter.Tk(className='Welcome')
welcometk.geometry("500x220+400+270")

welcomelabel= tkinter.Label(welcometk,text="欢迎使用儿童练习册",bg="blue",font=("仿宋",16),width=40,height=3)
welcomelabel.grid(row=0,rowspan=2,column=1,columnspan=3,padx=30,pady=10)

addbutton =tkinter.Button(welcometk,text='增加新题',font=('宋体',15),bg='yellow',width=15,height=2,command=additem)
addbutton.grid(row=2,padx=50,pady=20,column=0,columnspan=2)
#addbutton.pack(padx=200,pady=100)

workbutton = tkinter.Button(welcometk,text='做题',font=('宋体',15),bg='green',width=15,height=2,command=workitem)
workbutton.grid(row=2,column=2,columnspan=2)
#workbutton.pack(padx=100,pady=150)

welcometk.mainloop()

以后and未来 发表于 2020-4-1 08:26:29

{:10_245:}

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鱼C论坛's Archiver

给小孩找的麻烦，求大神带着做做实际项目