Java导出List集合到txt文件中——（四）

有时候，需要将数据以一定格式导出到txt文件中。利用Java的IO可以轻松的导出数据到txt中。

 package Action.txt;

 import java.io.BufferedWriter;
 import java.io.File;
 import java.io.FileOutputStream;
 import java.io.OutputStreamWriter;
 import java.io.Writer;
 import java.util.ArrayList;
 import java.util.List;

 import org.junit.Test;

 import bean.Question;

 /*[题干]防抱死制动系统（ABS）在什么情况下可以最大限度发挥制动器效能?
 [类型]单选
 [选项]{A:间歇制动},{B:持续制动},{C:紧急制动},{D:缓踏制动踏板}
 [答案]C
 [解析]ABS的目的就是为了防止刹车的时候一脚踩死，导致翻车什么的。 不过刹车刹死就比较慢（速度N快的时候），效果等于踩下刹车，再松下刹车，反复几次！*/
 public class ExportTxtPaper {

     private static File outFile = new File("test.txt");

     /**
      * 产生单选模板
      *
      * @param num
      *            单选数量
      */
     public static void  exportTxtPaper(List<Question> list) {

         Writer out;
         try {
             out = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(outFile,true), "utf-8"), 10240);
             for (int i = 0; i < list.size(); i++) {
                 out.write(
                         "[题干]"+list.get(i).getTimu()+
                         "\r\n[类型]"+list.get(i).getLeixing()
                         + "\r\n[A选项]"+list.get(i).getAxuanxiang()
                         + "\r\n[B选项]"+list.get(i).getBxuanxiang()
                         + "\r\n[C选项]"+list.get(i).getCxuanxiang()
                         + "\r\n[D选项]"+list.get(i).getDxuanxiang()
                         + "\r\n[答案]"+list.get(i).getDaan()
                         + "\r\n[解析]"+list.get(i).getJiexi()+"\r\n");
                 out.write("\r\n");
             }
             out.flush();
             out.close();
         } catch (Exception e1) {
             // TODO Auto-generated catch block
             e1.printStackTrace();
         }
     }

     /**
      * 测试产生模板
      */
     @Test
     public void test1(){

         List<Question> list = new ArrayList<>();
         list.add(new Question("你喜欢吃什么", "单选", "老司机", "方便吗", "辣条", "牛奶", "老司机", "我是老司机"));
         list.add(new Question("你喜欢吃什么", "单选", "老司机", "方便吗", "辣条", "牛奶", "老司机", "我是老司机"));
         list.add(new Question("你喜欢吃什么", "单选", "老司机", "方便吗", "辣条", "牛奶", "老司机", "我是老司机"));
         list.add(new Question("你喜欢吃什么", "单选", "老司机", "方便吗", "辣条", "牛奶", "老司机", "我是老司机"));
         list.add(new Question("你是人", "判断", "", "", "", "", "是", "我是老司机"));
         list.add(new Question("你是人", "判断", "", "", "", "", "是", "我是老司机"));
         ExportTxtPaper .exportTxtPaper(list);
     }
 }

 结果:

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" 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