<更新日期03-31-2016> 复利计算5.0 <已改进>

作业要求:

1.客户说：帮我开发一个复利计算软件。

完成复利公式计算程序，并成功PUSH到github上。

客户提出：

2.如果按照单利计算，本息又是多少呢？

3.假如30年之后要筹措到300万元的养老金，平均的年回报率是3%，那么，现在必须投入的本金是多少呢？

完成23功能，并成功PUSH到github上。

客户又想：

4.利率这么低，复利计算收益都这么厉害了，如果拿100万元去买年报酬率10%的股票，若一切顺利，过多长时间，100万元就变成200万元呢？

5.如果我希望在十年内将100万元变成200万元，应该找到报酬率在多少的投资工具来帮助我达成目标？如果想在5年后本金翻倍，报酬率就应至少为多少才行呢？

6.如果每年都将积蓄的3万元进行投资，每年都能获得3%的回报，然后将这些本利之和连同年金再投入新一轮的投资，那么，30年后资产总值将变为多少？如果换成每月定投3000呢？

客户又想：

7. 你写的程序能让客户随意操作吗？误输入数据、不小心做了非常规的操作程序是什么反应？

8. 如果向银行贷款10万元，年利率6.5%，期限为10年，那么每月等额本息还款多少？（算复利条件下等额还款金额）

客户又想：

4.0............

12. 即要追求利益，又要面对不可预知的金融投资风险， “不能把鸡蛋放在同一个篮子里”，所以有必要进行组合投资。

通过上述计算与对比，可以帮助客户进行投资决策。 
     客户：那么能否帮我记录下一笔一笔不同类型的投资，并动态显示资金现值呢？

提问：动态显示资金现值是以什么形式进行呈现？

客户特么又想:

5.0 单元测试-----------------------------

仅对复利模块进行了测试，其他模块以此类推。

以下为测试新增代码：

public static double CompoundingCalculation(double money,double rate,int years)
    {
        int year = years;
        double Money = money,Rate = rate;
        double sum1 = 0;
        for (int i = 1; i <= year ; i++)
        {
            sum1 = Money*Math.pow(1.0 + Rate, year);
        }
        return sum1;
    }

Ps：为了测试数据，由于此前写的方法是不含参数的方法所以在进行测试的时候要构造一个带参数的同名方法进行传参测试。

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测试模块	测试输入	预期结果	运行结果	bug跟踪
复利计算终值	（本金，年限，利率）	终值
1	（10000，10，3）	13439.16793441223	√
2	（-1，10，3）	弹出提示：请输入正确的本金	旧版本没有提示	由于没用做窗口所以无法弹出窗口告诉用户出错，但是本程序纠错是用正则表达式，回调了所应用的计算函数。
3	（100，-1，3）	弹出提示：请输入正确的的年限	旧版本没有提示	由于没用做窗口所以无法弹出窗口告诉用户出错，但是本程序纠错是用正则表达式，回调了所应用的计算函数。
单利计算终值	（本金，年限，利率，次数）	终值
1	（10000，10，3）	19000.0	√
2	（-1，10，3 ）	弹出提示：请输入正确的本金	旧版本没有提示	由于没用做窗口所以无法弹出窗口告诉用户出错，但是本程序纠错是用正则表达式，回调了所应用的计算函数。
3	（100，-1，3）	弹出提示：请输入正确的的年限	旧版本没有提示	由于没用做窗口所以无法弹出窗口告诉用户出错，但是本程序纠错是用正则表达式，回调了所应用的计算函数。

单元测试小结：

1、个人理解的单元测试就是可以找出程序在数据和逻辑上在编译时无法找出的的一些错误，并查具体位置。

2、本程序使用了正则表达式< "^\\d+(\\.\\d+)?$" >在一定程度上可以大大降低在单元测试前数据出错的问题。

3、本程序在输入数据上没有对“0”值进行控制。因为数据输入的方式是以字符串的方式进行输入然后再通过数据转换转成整型或者双精度型。

正则表达式的函数的pattern() 返回正则表达式的字符串形式,需要返回Pattern.complile(String regex)的regex参数

Matcher类提供三个匹配操作方法,三个方法均返回boolean类型,当匹配到时返回true,没匹配到则返回false，matches()对整个字符串进行匹配,只有整个字符串都匹配了才返回true

　　

　　参考帖子：http://www.cnblogs.com/ggjucheng/p/3423731.html

public static boolean isNumeric(String str)
    {
        Pattern pattern = Pattern.compile("^\\d+(\\.\\d+)?$");
        Matcher isNum = pattern.matcher(str);
        if( !isNum.matches() ){
            return false;
        }
        return true;
    }

代码小结：

1、代码在实现上还有很多地方可以修改，有的地方的代码不断复用，定义的数据类型没有实现封装，等等。

希望助教，老师可以给点在代码优化上的意见~

完成情况:

代码已提交至github

地址：https://github.com/sunhailin-Leo/Compounding-test-1<已更新5.0>

此前代码仅为一个.java文件，此次提交将整个工作文件提交至github

BUG：容错功能还没完善<0320 1800前>.

　　　 容错功能已完善但不完美，如果在调试窗口使用组合键会报错。<0320 2100>

正则表达式实现数据的错误检测。<0331 2030>

 package Calulation;

 import java.util.Scanner;
 import java.util.regex.Matcher;
 import java.util.regex.Pattern;

 public class Calculate {
     static Scanner scanner = new Scanner(System.in);
     //正则判断是否为数字选项
     public static boolean isNumeric(String str)
     {
            Pattern pattern = Pattern.compile("^\\d+(\\.\\d+)?$");
            Matcher isNum = pattern.matcher(str);
            if( !isNum.matches() ){
                return false;
            }
            return true;
     }

     //字符型转整型
     public static int StringToInt(String intstr)
     {
         Integer integer;
         integer = Integer.valueOf(intstr);
         return integer.intValue();
     }

     //字符型转double型(该功能尚未使用)
     public static double StringToDouble(String str)
     {
         Double data;
         data = Double.valueOf(str);
         return data.doubleValue();
     }

     //double型转字符型(该功能尚未使用)
     public static String DoubleToString(double value)
     {
         double dd = value;
         String str = String.valueOf(dd);
         return str;
     }

     public static void main(String[] args)
     {
         System.out.println("请选择单利计算或复利计算:(复利选1，单利选2,本金计算选3,投资预期年份计算选4,投资预期利率计算选5,定额复利投资递增性选6,贷款月还款金额计算选7)");
         String choice = scanner.next();
         if(isNumeric(choice))
         {
             switch(StringToInt(choice))
             {
             case 1:
                 CompoundingCalculation();
                 break;
             case 2:
                 SimpleInterestCalculation();
                 break;
             case 3:
                 PrincipalCalculation();
                 break;
             case 4:
                 CalculateRewardTime();
                 break;
             case 5:
                 CalculateInterest();
                 break;
             case 6:
                 IncreasingInterestInvestmentQuota();
                 break;
             case 7:
                 MatchingInterestRepaymentCalculator();
                 break;
             }
         }
         else
         {
             System.out.println("输入错误!,请重新输入!");
             main(null);
         }
     }

         public static void CompoundingCalculation()
         {
             String money,rate,years;
             int Year=0;
             double Rate=0,Money=0,sum1=0;
             System.out.println("请输入本金:");
             money = scanner.next();
             if(isNumeric(money))
             {
                 Money = StringToDouble(money);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 CompoundingCalculation();
             }
             System.out.println("请输入存款年数:");
             years = scanner.next();
             if(isNumeric(years))
             {
                 Year = StringToInt(years);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 CompoundingCalculation();
             }
             System.out.println("请输入年利率:");
             rate = scanner.next();
             if(isNumeric(rate))
             {
                 Rate = StringToDouble(rate);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 CompoundingCalculation();
             }
             for (int i = 1; i <= Year; i++)
             {
                 sum1 = Money*Math.pow(1.0 + Rate, Year);
             }
             System.out.println("存入第" + Year + "年后的存款总额为：" + sum1);
             main(null);
         }

         public static void SimpleInterestCalculation()
         {
             String money,rate,years;
             double Money=0,sum1=0,Rate=0,interest=0;
             int Year=0;
             System.out.println("请输入本金:");
             money = scanner.next();
             if(isNumeric(money))
             {
                 Money = StringToDouble(money);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 SimpleInterestCalculation();
             }
             System.out.println("请输入存款年数:");
             years = scanner.next();
             if(isNumeric(years))
             {
                 Year = StringToInt(years);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 SimpleInterestCalculation();
             }
             System.out.println("请输入年利率:");
             rate = scanner.next();
             if(isNumeric(rate))
             {
                 Rate = StringToDouble(rate);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 SimpleInterestCalculation();
             }
             interest = Money*Rate*Year;
             sum1 = Money+interest;
             System.out.println("存入第" + Year + "年后的存款总额为：" + sum1);
             main(null);
         }

         public static void PrincipalCalculation()
         {
             String ExpectedPrincipal,rate,years;
             double Rate=0,ExpectedPrincipalMoney=0,money = 0;
             int Year = 0;
             System.out.println("预期金额");
             ExpectedPrincipal = scanner.next();
             if(isNumeric(ExpectedPrincipal))
             {
                 ExpectedPrincipalMoney = StringToDouble(ExpectedPrincipal);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 PrincipalCalculation();
             }
             System.out.println("请输入存款年数:");
             years = scanner.next();
             if(isNumeric(years))
             {
                 Year = StringToInt(years);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 PrincipalCalculation();
             }
             System.out.println("请输入年利率:");
             rate = scanner.next();
             if(isNumeric(rate))
             {
                 Rate = StringToDouble(rate);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 PrincipalCalculation();
             }
             money = ExpectedPrincipalMoney/Math.pow(1.0 + Rate, Year);
             System.out.println("初始本金为(复利算法)" + money);
             money = ExpectedPrincipalMoney/(1+Rate*Year);
             System.out.println("初始本金为(单利算法)" + money);
             main(null);
         }

         public static void CalculateRewardTime()
         {
             double year = 0,ExpectedPrincipalMoney = 0,Rate = 0,Money = 0;
             String ExpectedPrincipal,rate,money;
             System.out.println("预期金额");
             ExpectedPrincipal = scanner.next();
             if(isNumeric(ExpectedPrincipal))
             {
                 ExpectedPrincipalMoney = StringToDouble(ExpectedPrincipal);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 CalculateRewardTime();
             }
             System.out.println("请输入年利率:");
             rate = scanner.next();
             if(isNumeric(rate))
             {
                 Rate = StringToDouble(rate);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 CalculateRewardTime();
             }
             System.out.println("本金");
             money = scanner.next();
             if(isNumeric(money))
             {
                 Money = StringToDouble(money);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 CalculateRewardTime();
             }
             year =  log((ExpectedPrincipalMoney/Money),1+Rate);
             System.out.println("年份" + Math.ceil(year));
             main(null);
         }

         public static double log(double value,double base)
         {
             return Math.log(value)/Math.log(base);
         }

         public static void CalculateInterest()
         {
             double ExpectedPrincipalMoney = 0,Money = 0;
             int Year = 0;
             String ExpectedPrincipal,years,money;
             double rate = 0;
             System.out.println("预期金额");
             ExpectedPrincipal = scanner.next();
             if(isNumeric(ExpectedPrincipal))
             {
                 ExpectedPrincipalMoney = StringToDouble(ExpectedPrincipal);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 CalculateInterest();
             }
             System.out.println("请输入年份:");
             years = scanner.next();
             if(isNumeric(years))
             {
                 Year = StringToInt(years);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 CalculateInterest();
             }
             System.out.println("本金");
             money = scanner.next();
             if(isNumeric(money))
             {
                 Money = StringToDouble(money);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 CalculateInterest();
             }
             rate = Math.pow((ExpectedPrincipalMoney/Money), 1/Year)-1;
             System.out.println("利率" + rate);
             main(null);
         }

         public static void IncreasingInterestInvestmentQuota()
         {
             System.out.println("每年定额选1，每月定额选2");
             String choice = scanner.next();
             if(isNumeric(choice))
             {
                 switch(StringToInt(choice))
                 {
                 case 1:
                     EachYear();
                     break;
                 case 2:
                     EachMonth();
                     break;
                 }
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 IncreasingInterestInvestmentQuota();
             }
         }

         public static void EachYear()
         {
             double EachYearQuotaMoney = 0,Rate = 0,sum1 = 0;
             int Year = 0;
             String years,EachYearQuotaMoney1,rate;
             System.out.println("每年定额资本");
             EachYearQuotaMoney1 = scanner.next();
             if(isNumeric(EachYearQuotaMoney1))
             {
                 EachYearQuotaMoney = StringToDouble(EachYearQuotaMoney1);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 EachYear();
             }
             System.out.println("请输入存款年数:");
             years = scanner.next(); // 存钱年数
             if(isNumeric(years))
             {
                 Year = StringToInt(years);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 EachYear();
             }
             System.out.println("请输入年利率:");
             rate = scanner.next();
             if(isNumeric(rate))
             {
                 Rate = StringToDouble(rate);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 EachYear();
             }
             sum1 = EachYearQuotaMoney*(1+Rate)*(-1+Math.pow(1+Rate, Year))/Rate;
             System.out.println("存入第" + Year + "年后的存款总额为：" + sum1);
             main(null);
         }

         public static void EachMonth()
         {
             double EachMonthQuotaMoney1 = 0,MonthRate1 = 0,sum1 = 0;
             int Months1 = 0;
             String EachMonthQuotaMoney,MonthRate,Months;
             System.out.println("每月定额资本");
             EachMonthQuotaMoney = scanner.next();
             if(isNumeric(EachMonthQuotaMoney))
             {
                 EachMonthQuotaMoney1 = StringToDouble(EachMonthQuotaMoney);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 EachMonth();
             }
             System.out.println("请输入存款月数:");
             Months = scanner.next();
             if(isNumeric(Months))
             {
                 Months1 = StringToInt(Months);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 EachMonth();
             }
             System.out.println("请输入月利率:");
             MonthRate = scanner.next();
             if(isNumeric(MonthRate))
             {
                 MonthRate1 = StringToDouble(MonthRate);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 EachMonth();
             }
             sum1 = EachMonthQuotaMoney1*(1+MonthRate1)*(-1+Math.pow(1+MonthRate1, Months1))/MonthRate1;
             System.out.println("存入第" + Months1 + "月后的存款总额为：" + sum1);
             main(null);
         }

         public static void MatchingInterestRepaymentCalculator()
         {
             String money,rate,years;
             double Money = 0,Rate = 0,interest,Repayment = 0,Repayment1 = 0,sum1 = 0,sum = 0;
             int Year = 0;
             System.out.println("请输入贷款金额数");
             money = scanner.next();
             if(isNumeric(money))
             {
                 Money = StringToDouble(money);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 MatchingInterestRepaymentCalculator();
             }
             System.out.println("请输入贷款年限");
             years = scanner.next();
             if(isNumeric(years))
             {
                 Year = StringToInt(years);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 MatchingInterestRepaymentCalculator();
             }
             System.out.println("请输入贷款年利率");
             rate = scanner.next();
             if(isNumeric(rate))
             {
                 Rate = StringToDouble(rate);
             }
             else
             {
                 System.out.println("输入错误!,请重新输入!");
                 MatchingInterestRepaymentCalculator();
             }
             //复利
             for (int i = 1; i <= Year; i++)
             {
                 sum1 = Money*Math.pow(1.0 + Rate, Year);
             }
             Repayment = sum1/(Year*12);
             interest = Money*Rate*Year;
             sum = Money+interest;
             Repayment1 = sum/(Year*12);
             System.out.println("每月需要还款(单利)" + Repayment1);
             System.out.println("每月需要还款(复利)" + Repayment);
         }
 }

旧版本没有提示