缓存篇~第八回 Redis实现基于方法签名的数据集缓存~续(优化缓存中的key)

时间:2023-12-24 09:59:37

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上一讲主要是说如何将数据集存储到redis服务器里,而今天主要说的是缓存里的键名,我们习惯叫它key.

redis或者其它缓存组件实现的存储机制里,它将很多方法对应的数据集存储在一个公共的空间里,这个空间足够大,当然它也是共享的,没有具体的分区,也就是说,如果你的key重复了,那这事就有点坏味道了,对于一个项目肯定没什么问题,只要做到方法名不相同就可以,但是,如果是多个项目共享一个缓存服务器(缓存中间件,这是很正常的,没有什么公司一个项目对应一个缓存服务器,没必要,当你的项目足够大时,可以会有分模块去做缓存服务器的概念),今天的重点就是在拦截组件中优化我们的key,对于get和put,remove方法都要进行优化.

 /// <summary>
/// 表示用于方法缓存功能的拦截行为。
/// </summary>
public class CachingBehavior : IInterceptionBehavior
{
/// <summary>
/// 缓存项目名称,每个项目有自己的名称
/// 避免缓存键名重复
/// </summary>
static readonly string cacheProjectName = System.Configuration.ConfigurationManager.AppSettings["CacheProjectName"] ?? "DataSetCache"; #region Private Methods
/// <summary>
/// 根据指定的<see cref="CachingAttribute"/>以及<see cref="IMethodInvocation"/>实例,
/// 获取与某一特定参数值相关的键名。
/// </summary>
/// <param name="cachingAttribute"><see cref="CachingAttribute"/>实例。</param>
/// <param name="input"><see cref="IMethodInvocation"/>实例。</param>
/// <returns>与某一特定参数值相关的键名。</returns>
private string GetValueKey(CachingAttribute cachingAttribute, IMethodInvocation input)
{
switch (cachingAttribute.Method)
{
// 如果是Remove,则不存在特定值键名,所有的以该方法名称相关的缓存都需要清除
case CachingMethod.Remove:
return null;
// 如果是Get或者Put,则需要产生一个针对特定参数值的键名
case CachingMethod.Get:
case CachingMethod.Put:
if (input.Arguments != null &&
input.Arguments.Count > )
{
var sb = new StringBuilder();
for (int i = ; i < input.Arguments.Count; i++)
{
if (input.Arguments[i].GetType().BaseType == typeof(LambdaExpression))//lambda处理
{
var exp = input.Arguments[i] as LambdaExpression;
var arr = ((System.Runtime.CompilerServices.Closure)(((System.Delegate)(Expression.Lambda(exp).Compile().DynamicInvoke())).Target)).Constants; Type t = arr[].GetType();
string result = ""; foreach (var member in t.GetFields())
{
result += member.Name + "_" + t.GetField(member.Name).GetValue(arr[]) + "_";
}
result = result.Remove(result.Length - );
sb.Append(result.ToString());
}
else if (input.Arguments[i].GetType() != typeof(string)//类和结构体处理
&& input.Arguments[i].GetType().BaseType.IsClass)
{
var obj = input.Arguments[i];
Type t = obj.GetType();
string result = ""; foreach (var member in t.GetProperties())//公开属性
                                {
                                    result += member.Name + "_" + t.GetProperty(member.Name).GetValue(obj) + "_";
                                }
                                foreach (var member in t.GetFields(BindingFlags.Public | BindingFlags.NonPublic | BindingFlags.Instance))//私有和公用字段
                                {
                                    result += member.Name + "_" + t.GetField(member.Name, BindingFlags.Public | BindingFlags.NonPublic | BindingFlags.Instance).GetValue(obj) + "_";
                                }
result = result.Remove(result.Length - );
sb.Append(result.ToString());
}
else//简单值类型处理
{
sb.Append(input.Arguments[i].ToString());
} if (i != input.Arguments.Count - )
sb.Append("_");
}
return sb.ToString();
}
else
return "NULL";
default:
throw new InvalidOperationException("无效的缓存方式。");
}
}
#endregion #region IInterceptionBehavior Members
/// <summary>
/// 获取当前行为需要拦截的对象类型接口。
/// </summary>
/// <returns>所有需要拦截的对象类型接口。</returns>
public IEnumerable<Type> GetRequiredInterfaces()
{
return Type.EmptyTypes;
} /// <summary>
/// 通过实现此方法来拦截调用并执行所需的拦截行为。
/// </summary>
/// <param name="input">调用拦截目标时的输入信息。</param>
/// <param name="getNext">通过行为链来获取下一个拦截行为的委托。</param>
/// <returns>从拦截目标获得的返回信息。</returns>
public IMethodReturn Invoke(IMethodInvocation input, GetNextInterceptionBehaviorDelegate getNext)
{ var method = input.MethodBase;
//键值前缀
string prefix = cacheProjectName + "_" + input.Target.ToString() + "_";
//键名,在put和get时使用
var key = prefix + method.Name; if (method.IsDefined(typeof(CachingAttribute), false))
{
var cachingAttribute = (CachingAttribute)method.GetCustomAttributes(typeof(CachingAttribute), false)[];
var valKey = GetValueKey(cachingAttribute, input);
switch (cachingAttribute.Method)
{
case CachingMethod.Get:
try
{
if (CacheManager.Instance.Exists(key, valKey))
{
var obj = CacheManager.Instance.Get(key, valKey);
var arguments = new object[input.Arguments.Count];
input.Arguments.CopyTo(arguments, );
return new VirtualMethodReturn(input, obj, arguments);
}
else
{
var methodReturn = getNext().Invoke(input, getNext);
CacheManager.Instance.Add(key, valKey, methodReturn.ReturnValue);
return methodReturn;
}
}
catch (Exception ex)
{
return new VirtualMethodReturn(input, ex);
}
case CachingMethod.Put:
try
{
var methodReturn = getNext().Invoke(input, getNext);
if (CacheManager.Instance.Exists(key))
{
if (cachingAttribute.Force)
{
CacheManager.Instance.Remove(key);
CacheManager.Instance.Add(key, valKey, methodReturn.ReturnValue);
}
else
CacheManager.Instance.Put(key, valKey, methodReturn.ReturnValue);
}
else
CacheManager.Instance.Add(key, valKey, methodReturn.ReturnValue);
return methodReturn;
}
catch (Exception ex)
{
return new VirtualMethodReturn(input, ex);
}
case CachingMethod.Remove:
try
{
var removeKeys = cachingAttribute.CorrespondingMethodNames;
foreach (var removeKey in removeKeys)
{
string delKey = prefix + removeKey;
if (CacheManager.Instance.Exists(delKey))
CacheManager.Instance.Remove(delKey);
}
var methodReturn = getNext().Invoke(input, getNext);
return methodReturn;
}
catch (Exception ex)
{
return new VirtualMethodReturn(input, ex);
}
default: break;
}
} return getNext().Invoke(input, getNext);
} /// <summary>
/// 获取一个<see cref="Boolean"/>值,该值表示当前拦截行为被调用时,是否真的需要执行
/// 某些操作。
/// </summary>
public bool WillExecute
{
get { return true; }
} #endregion
}

优化后的key的结构为项目前缀_项目命名空间_方法名,这样的设计我想它不会再有重复了,事实上,如果你的项目正规的话,只要有(项目命名空间_方法名)这一层控制就可以做到key值唯一了,而为了避免意外,我们还是加了一个项目前缀CacheProjectName!

我们可以看一下缓存存储时的键名截图

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BDdqhT3Z3HuCYHZeZsUneCIIjgxCd1V/nE2kSF16gM1OutuzsuIq7W+yOWDiUmgavKSv9VnHw4bHN6zFx1R55L7bLZubKgp+6K61RYDK5phGSJ6+Ke+O7SXEolw9ZcR/zAU9+dIvMEQRDBgk/qzt2Frk10+O4VFkOuzV4Yaix07rPj+e5u9sF5savOobjKKYgb313uXjvjDR6pu0O/C01CrsWcLRgKy/TVXSbekjBXKOskrS7qDmWOHLWxepkN9ooylD2dqPLdVU8tku9OEATRpPFe3aHCYtDG5LmJjsh8mTlb5itrnnd3bKnLNWmvgDoPzdeKNVcwlqjXvD1U9zr57uKuPXD4yjZjtsXuVt3VkQNevXEzqtueeengCoshNdRcwd8MKNovTyd1JwiCaNJ4qe7cbWJ6e8egxGQotJkLHeKn9s5VgqSjc27UnbtA4MaqWtXdqYUKdbcXhqqW2JXOrjNIXtu6uxSN1+TO24SvyahOz7srbBDDA7pzCEUVkboTBEE0abxUdw9j8iKinBtLyszZgiE71BWL5j6apYlR1xqZ15sQOP5bB3VXB8ZR8Zoai/w6LpXV2Y3v5m02ivmNNGPQkW1VRl767o7AiXPboOoxOU0FkroTBEE0aRrmXXWCseS1pP2cDVzyDe11993dB+1dK+J6W8ZcW9J8feGMR767/5/3k4X6eU+3W3N5Ow+U2/VVYQOxyVyzkPp/gy9BEAThR4LhV2Tkj9F7jV/U3aOMnHv4nZn6/527BEEQxFtOMKi7X2gwdUf5KgBFvAmCIIh6gNSdIAiCIIINUneCIAiCCDZI3QnCBbxg8ORl9YOncP8JfP8IKu7D7Soor8Sbd/BaOV65gfYyvHgFSi7DuYtwpgROnYPiM1B0Ek8U49EiLDyGB4/g/kIs2I9WG+4pgIIv8LM9kLcbduZD7i7I3QU7PoPtebBtJ27fidtycesO3LIdN2/DTVtx4xbcsBk3bMacTfjpRly/Adfl4LocXPsprlmPq9fB1h24eh2uWY9rP3X8a/0G/HQj5mxynLhxC27aipu34ZbtuHUHbsvF7Tth207Yngc7PnMYsDMf8nbjZ3tg3xe4pwCtNizYj/sL8eARLDyGR4vwRDEUnYTiM3DqHJwpgXMXoeQyXryC9jK8cgOvlePNO1BeCberoOI+fP8I7j+pfvgMnryEFyzgLUgQhAipO9GogeoaeFYND55CxX24cQdLr8MFO5w+D0Un8cgJ/OIQ7imA3F24eRuuy4FPN+KybLRksYzFOG8BpqXjjFk4eSqOT2HJY1niKGZKYEPjMWYw9uvPoqNZr16sa1cWGcnat2dt2vy5ZUvWujULD8eRiSwyknXpwrp3Zz17sqgoFh2Nffth/wE4cBDGxrEhQ1m8kZkS2IiRLHEUGz2GjR2H4yZgyiScNAWnTscZs3BWKqalw4pVOHc+zlvA5i9kCxaxhRlsYQZbZGYZi5l5CWYsQbMFF2fikqVoycLMZbh0OWatwKwVuCwbl6/EFasw+xPM/gRXrsZVa2Dzdly1BleudiSuWIXLV+KybMcpS5dj5jK0ZKElCxdnotmCGUuYeQnLWMwWmR1ZL1jE5i/EeQtw7nxYsQrT0nFWKs6YhVOn46QpmDIJx01gY8ex0WNY4ig2YiQzJbB4IxsyFGPjcOAg7D8A+/Zj0dEsKor17Mm6d2ddurDISBw5ioWHs9at/9yyJWvThrVvzyIjWdeurFcvFh2N/fpjzGA2NJ6ZEljiKJY8Fsen4OSpOGMWpqXjvAUsYzFasnBZdrU4p9m8DXJ34Z4C/OIQHjkBRSfh9Hm4YMfS63DjDlTchwdP4Vk1VNcEvH8SRKOF1J2oF6C6Bh6/gMoHeOM2XroKZ0rgeDEePIJ7P4fteZizCVeuxiVLce58nDELx6fgmLHMlICxcdivP4uKYl27so4dWdu2rEULFhbGIiNZjx6sd28cMJDFDWEJw9noMTg+BadOx7R0tmARLlmKK1bBhi346UbcvA227YS83binAAv244HDeOQEHC+G4jNwpgRKLuOlq3j1Jt68A7e+h7sP4cFTePwCfsSAV1pwAD8iPH4BD57C3Ydw63u8eQev3sRLV6HkMpwpgeIzcLwYj5zAA4exYD/uKYC83bBtJ27ehp9uhA1bcPlKXLKULViEaek4dTqOT2Gjx7CE4SxuCA4YyHr3Zt27s8hIFhbGWrRgbduyjh1Z164sKgr79cfYOGZKAHH2MGMWzp2PS5biytWYswm25+Hez/HgETheDGdK8NJVvHEbKh/A4xc0SyCCElJ3ohbgyUuofIDXyuH8JSg6ifsLcdde3LQVV67GjCWYlo5p6SxpNIs34oCBLCqKde7sGHk7dGDdumHvaIwZzEwJLHksTpqCqXPYIjNmrcA163HzNvxsDxbsxyMnoPgMfHMBL17BqzehvBLuPoSHz+A5BLz4RGMGngM8fAZ3H0J5JV69iRevwDcXqr88hUdOYMF+/GwPbt6Ga9Zj1gq2yIypc3DSFJY8lpkSMGYw9o5m3bqxDh0cM8jOnVlUFA4YyOKNLGk0zp6DaelotuCqNbhpK+7ai/sLoegknL+E18qh8gE8fRXw4hOEGxqRugOUmQ2C0dq0nxCzGgXHx+h8lY3dYhAaUbngOUDlAyy9DqfOYeEx3LUXdqRaf9vsm2mLcVYqjk9hI0ZizGAWFcUiI1mrViw8nHXrhn37saHxbPQYnDIN585HSxasnrzlN80+X7Ov+vBx+Oo0nLuIpdehvBKqfoBn1QEvJkF4DjyrhqofoLwSS6/DuYvw1Wk4fAL3FKC40cGShXPn45RpbPQYNjQe+/Zj3bqxsDDWujWLjGRRURgzmI0YieNTcFYqy1iM2Z9g7i7ctRcLj8Gpc3jlBlQ+oKkq0cCQuvu1CFaTYND8iA7YjEKo2V6/5ap+DnD3IV69CafP4+HjuHsfbtyCy1fivAU4eSpLHIWDYljPniw8nLVt86T5B9/1GMiGj8CUSZg+r3r91Lx/aXZwWS5abXjkBJw6h5euQnklPHgKL/+s317uygVWkyAIBrPjHYJWY9NuWYLQAi//DA+eQnklXroKp87hkRNotcG2nbguB9dtwPR5mDKJDR+B/Qewbt1Y27YsPJz17Ikxg1niKJw8lc1fiMtX4sYtuHsfHj4OZ0rw6k24+7CaFokIf0Dq7k/s5lDJZfdftdiMQmjWmWd4/RacKcGDRyB3F65exxZm4KQpzJSA0X1Yx45sRCLr2hX79WcJw3HCRExLx8xluH4D5O3GA4eh+Axevga3q+DJS209ezf/qF3dDaEGwfG6HlJ3goAnL+F2FV66CsVn8MBh2JmP6zdg5jJMS8cJE5kpAfv1Z127shGJrGNHjO7DEobjpClsYQauXge5u/DQUThTgjduw6PnAS8L0fjx9jfirDWCUOP49VKoMRtqDOYaxDdWY40gvHFgqLE7RvYag8GVrjfKy1VHjG+L3+3mUEH6GCx2eA1Wk+CUDfEsyUf0GlGrDAYpJ5csGQwuA/RMEi+iVXcpUC+VWu7USt/h8Qu8Vg5fnYbPD+DmbZi1AtPS2dhxGBvHekZWN2/xon0ERvdhpgTH3f7JWsjdhQePwJkSvH6rdK7BYaTBZDQI0vW1droWDhyfULP9NYBNkewskeJgZ6LimrWou8VsdFgiqbv2mnZzqIfGayuQIIISePgMr9+C0+fx4BHY8Rl+stY1m+8dzSIiWJs2rGdPjI3D5HGYlo5ZK3DzNvj8ABSfwWvl8PhFwItABByvfwG2xmyoEcdrsNcYnEovP8Ao1IhDv9VYIxgdu1KtRsc8gHdNh7pbjbJFa7AZlUJutL6WzwPAbpEcRM417RaDoPjozy1sRud/1fMMpzFWo2Awl/FNspoEnYwcx+z5C9y5B+cv4aGjsG32vt/+tmiY6dJ7793p1o916MA6dMC+/dioJJy/CC1ZuGEz7inAE8XwbWn1rW0JPzG4d6zt5lDBYLE7i2A3h+rZibwYibLsDo9cXrGuYioSa/XdLXbn8VrfXTq9TsYTBIHigwm3q+DbUjz+Fe4pwJxNaMmC+YtY4ijsqxxSZqXismzYthMPHYWSy3DnHj0j8JbgfWTebnZotlywRdV3uukudfdkaBYHcUEQ5O6vnjw7JeG1v4LhKq2yapzOWk0SrfqXwdvhmwtYsL96+062MAPHp7C4AU+af8BatGA9erCh8ThxMstYDFN6Df71r4en7HYz0VZ6yeqaUR9ptEmK6BBIHTvdR+Zd6m41ybNzXFO2scAjdYfXYk1K1ehqZafrXyfjCYLwBCkciFYbfrqRZSzGiZPZ0HjWowdr0YJ168bihuCEiWxhBmzfiQX74ZsLUHE/4GYTfsR7dXd65y4fXUxxDuIK391zdTdabUZZ3BXsFoNmnxq6pKXMbHC3YFxH312h7pLvzlF3g+Vq5QM4+y1+fgDXb8B5C1jSaOwdzVq2uN2mExtmwpmzYdNWyN2FR05Ul+zP/uBnqos4AtS8ork3jIuuQPKrzmN1l53uiFvUXd1FM8xGMejCCRLUyXiCIHwHKh/ABTsePg65u2DjFpwxiw0zse7dWevWGN2HjR6D8xbg+g1oOwjnLsLdhwE3mPACn3bVORbUnevr8hC9uDDvlbprNYAvyY4VcT9pgELh7BaD87vVKEzaWIEninHzNlyWzcYkY59ur5o3fxTRlRmH4fSZuHwl5O2GL0/hjdv2hQate81RU8e+gTKzQdcd5xqmB18gdapOu1OBr+6ySuAmWo2CfN1dXJtQbC8Q1d3prKsD+1aTO99dv91p3Z0g6gl4wfD6LSg6CXm7cflKnDaDxRtZ166sbVvs05clj8XlK3HzNjheDN/dDbi1hHt8Unew1qh2ybl21RlrzAYv1R0ln9toQ+do7vy4ltjFY/w1yoty8rc/+cmf/v7v+/3qV7tT1uLU6TgoBlo2//7DKDZ2HC5ZCnsK4MTXWPZd9a54rkmqZQJlFNqhhZKqSZm6F3iv1d1d1bnSpV11aiFXnS5ffRBTDGabPHAipruCLnIvXyb8svcBWMTT62y8B5VGEIQfgeeAZd/B8WLYsw+XLGXJY1lUFGvbFmMG47QZuHodfnEI7WX0wsdGRSN6Iq6uyHfOe8+1ctz3Ba5ej8kx37/fvLpNWxwUg1OnO/rr5Wv0DorGhr+ekiAIwhfgOeClq2g7iJ+sxanTceAg1qYNi4rC5HGwZj0W7Mdr5QE38m2mqaq79y+AK/sOC/bjkqUsYTgLC8N+/XHmbMzbDcezJv1tvb9zhvARh0NPjjtBNEqgvBKPf4V5+ThzNvbtx8LD2fARaMnCgv14/VbAzXuraJLqfvb8dc85/2XJtU+3352e9mTwEGgX9mOvqPtjxt8yLyvdue/cyUt1uhRBEAThCeJYDU9ewqlzuHkbzpiF0X1Y+/ZsZCJasuDQMXonT33TVNW96t4j9zw8ePiZecmrmBiMiHg+O+3J6rUPDx+r+u5OrScSBEEQviCpuwp4/AJOnsVNW3HeQhYRwYYMxRWr4OtvAq4pQUlQqfu9k988WbXm5chE1rLlS1PCkxUrHxR9HfCOThAE8VZx9vz1zz//oqyslnV3KLmM63LYyETWqhVLHoubtlaX8qcFhBcEibo/3rz11eDYHydOerZw0SPbge/v3q+/XhvwO4cgCKIx46G6S8DLP8PxYrRk4dTpLN6I+daAq0wQ0LTV/UFR8fOZs//csiWkp786e/aV7FN/vVabKOZot9vrM+treYlJeaVeH1OcGZJ1XJVYlPXuu+++++67mUWyxNL8RO2RtXE8MyQkMd/Ozas0PzGzuJ6agyCIRkhd1V0OnLuIc+ayli1x3gK4YA+43DRdmqq637t6/fnESa8GD67euVPU1LUHL/1u+I7fDd+x9uCl2jS+ODOkVqXU7bWqlFevXs2bNy/C+Zk3b54PAi/qIk+JfVT3oqzEvGtV9x4dzwx51/kJkYmuPJ37CUnMt9+7lpfIP0w+PwcBkPAAABqqSURBVLDnJYl5yawKUaZoSx0SopgBSA3kfUt5hqNEsqmJu8P0jyzODHHVjNvC+ogiI2e1a2vJTb2p/uVtDTunhiF1nwtW3RMnkb61bGl+Yoj7RlFwPDNE1kuVpS7KCuFPQLmVo+2uj6ruPbLnJYXUb1/1dwuqr6k38nC45vzoHeCLuovAq79A3m4WNwRnzIIHTwMuOk2RJqnu5Vmr4cMPXzqddVHXB2Uevnjj+4s3vh+UeVjSeM9ujzqgUndR2pOTk58+eSaSnJzsg8AXZ4oimqkdrTjKqlERvWPEC17LSwzJLBJvYPH7o6qiLOXI6GnNKJ117TDhGv1rs9mRaWIid/Ctb3X3IIvS/MQQmW2l+XlF7i/CH/39b60rytLg6i4P8PArpJ5RTg6OZ+ppkqx0cgkvzU8Mcc04NfNR95UjdldthYc0bXXXHXlcWi7/ZGZm1qu6S8DZb1lkJO7aG3DdaXI0QXWft+BeyrSqe49Uui6Kq6juQvR6IXp9w6h7RESEJO0iERER3qq7U4b56u6t716UlVn0qKo0PzPvGtdHdw1tRVkhmfnaKYLCPyvK0jrr0gH2vCQxL8fo71GcvzgzJCmvKD9REdtvJOrunAbV6SJerW7U3Vo3tVTP6q6eFDYwHjbKI/VkyGmzPS8pM09aMHK/nsVX98xM5YSgKCskM6v++6r/WlBbpbojzyNRy7WfhlF3B3Pns4zFgVefJkVTU/fFmWBeIkrsq1evRBWXe+1iisfqLnOznIG+ELlrK926iflSr5Vfym63c9Xdbrdr833F+9Th9vNW3UVFdw3HugvhvNOVWm7PS9JODmR+qitu7NB4eaa6euBojuOZkjvlTt2lCUpIZrF6oJdUR9Gaj6QRmRdGVnnDMvvvea7TKjtlVvEsyStyJGYWuarUpRZaM7gZuZxRv6i7K/DjxnJnHRZnhmhWW3SPVwZmHG0kN6PWrB9pMtJpFMWJrt7o7CpSSZPySqUotCwc7baxlJ1THsSWLugokbKLOk/Jy1I1tOYwlwGJefnabhnCD9V414Kag/UR1f3ShVI5orrLP/JT/K/u+AYWmdGSFXgNajo0JXWH58DatkXnrjpJ3fWoTd3lwqAYNBPzrsnjePIVO198d/Fg+ad2ddeJbyvuSU+OKb1mVw6jWnmWu+Ai9rwkNy7a8UxxYnTNrlQRZ5xTsUKsHsX4euPmi/5ZnJbStCZXjTi5yyU5Ka/U/aSEexFpuHdniaNWi7JcY31RlmwI1pihyMgpCa7G8oe6q9eea61DR1/SvYPkx7trI+22DO2llEVQeuHvvvtuiLa3uGyQB/CdWSfm2+89Op6pKrjbxnK1hWsy6mom9XyF07Ucubga2l0PlK3i11IoL1tQd6sBBz11d+PH14e6I75hbdrQq+w9p0mp+9YdsHk7+kndE+VjisxbcoqQbGovG9+56+4JCQmStCckJPTt21cva7nAe+S4c0c3KQDu6TEOSRDHC/4qY2l+YkhISEhWHs87f1excclxNckAxRq8atRw/OmoTJ0FTq0/6lbdXfu5pGOULcVvzdrUTukROsZu73136ZpuLOF955rBzUijN/r2uPmXPN9a7wjNNaVNCbWXVHU38curk7U2U/kpiiK4s1nsXc4uKvZGV5+s7XT1vMQ5yeDOKTVdlNfoqsNKeYtTtTeEVy2oOtgtbiLzDem7I76BLdthy46AK1FToUmpu8e+uwe76kISE5OUATH1IK6++Z29VnU11Z75vn37RkRExMXFuRd4T2PyflF35SqpauldrITjmapgoyYX3rmK6zgdGsVswOU0uNFIdZA2s0hf3V0t5VpH4A3Teu6Rfu58WfVt3b0WS3xTd26EoPbyKtdflNmJrrDOtIZ/TXteUkhmca3Ha+4m9+rufkblRt7c2lyan5iYf1zq1aX5iZn5rtqo5XRtbV/LS5TvF9GaIVW1+4aWzQX56q6yym8t6DrYbfduFOvu+AbxDWvdGl6wgCtRU6EpqTviG8xcBhmLJXUXd9Vxdd2TJ+KUC728dcTErEzlUrQnz7vHxcXVKvDubycX/vHdVYXKz8vkamft6q69lCxqLQvRO0cWmVvjVDtOPFArjSE8p8dRWE2kVNtS2tb0xJdVhcSdVaHaRejZnnl51ETfEu53rhm86U7dfHdXijzW4lxeUTS6zlqG3OnMl2te7ce72ki7msCNzNfiVipXkRRV57bdr+Ulyne2F2eGhCivo28J9wkF+dqKPEKuE8z34DBuZF5dG35oQfXBulVdFeg98xKwMAOzVgReg5oOTU3d8Q1bmFE1fnKVbJNaXZ5054wsIZpwrnyNUHXnePKuOk8E3lP8tu6enxgSEpKYlCgvOGdqX6u6K2vMsdwYotiy5/zT4dXJr8xf7eO4FPKhTSqO4+k+xxPqiomXuqXUramn7srn3V27kLQBA0+fd3d3rieReb4ZCgHTZKStJW6Kwg1VF0f7/HotluvuCNOp82t5ifI24l9NtR3sXW5kXtPtueFoZ1AqRH4R1VYST7pNZmaS8m5S1SR/vqLsotyG5vXkImnnHWdXnawgPregb68raIDn3dWkpaPZEnD1aVo0PXVHfFO+fC127Pjg6Ikq3kb0uvZUN2jiop6+iVYU+BkzZviu7r777tKIZs9LyszMkgmDY1RVa7A0JuqJrjQ0qB8gtmW6go0Kv0GK2Hv2IJMfWoogmjD1+FBlQ+DP591Pn2cdOuCegoDrTpOjSar72fPXq8rKn0+e+mrgoMc5m76vvFdfN5jGUfP8PfN+n2oECwq30ss3nanwdGe7v3KvhyIQVNsy9N8W1TTww7vqfkTY8RnGDIZZafDDjwEXnaZIk1X3e4+q7j168NXJ52lzWOvWz6fPEF15P6Fan1P02oDfOYQM3ZYiiKaGLN7exCcxPr1n/kwJzk5jbdqwhRl46WrA5abp0rTVXeLxth2vhsb/OCHl+bwFjwps39/5vv56bcDvHIIgiMZMnX8j7jng0SI0W3DyVGZKwL2fB1xlgoAgUXeRe2fOP1mz7sWo0axNm5fGYU+zlj84/mXAOzpBEMRbhae/7372W1y9jiUMZ23b4rgJuHVH9VU/P0T3NhNU6i7nYeHRp5alr2LjMLz985mznqxa/fBAYdWNWwHv9wRBEMGNnrrDw2fw1WnM2QRpc1l4ODMOw1Vr4PT5gGtKUCLcvfujFwiC8PLegkBx9vx1zzlX/O3VDbl3Z6Y/jjNWt2//Y4+eD0Yl31q09Mr2vee/+rZOlyIIgiA8IT9/39mzpXevff9g/4nH2eufj59c3SsKIzq+SEh8utByf/fBuzfue6c+hKcy7eVpAVV3kX27F3tB4frZZ+YnXxsTe69vj1ft2jzp0vH2kOjzM0aczBh/eP1s765JEET9kZ+/j2gqHFi34atFS87OmP1d3NAfe/TCDhEvTSOeLsx8lFdQdfZqwAXvrcLLyLwgCPgoI7CUfbvYd8oPzr67bsz9+fFPE6Je9uzIWrV88XHkk5G9H8wZcnfNmO+s08pOL/BLRgRBeElZOdEY+db+3f7CuzmbHsxf+CRp9IuPe7OWLV/2+ujpyMT7SzLvbt5aXlQc8Oj020wTVvf6AO4twLPTcW8yrojHKX0wpjMLb826t2cjerB5g2DrCLSNw7PT4c68gJtKEG8LgR4lCXjyEq/cwKNFsGsvMy9hSaNZjx4sPJzFDcGZs3FdDh48gldvwqu/BNxUQoLUvXagdDYcmoA5w3FJHI7+CPtGsvDWLLIdG9wFU3pjxmDYOBz3j8fzM6ByfsCtJYhgI9Cj5NsDPKvGqzfx+Few4zNcuhwnT2VxQ9iHH7LwcOw/AMdNgJWf4Pad8NVpuHMv4NYS7vFJ3eF0d4MgGHcsUt2N1ljB8YmNd3/fwsN4I+8KXgAP441CiPl03S7l3Vn4KANuzIHiKbh7NK42sjkDWNJH2KcTC2vNOoex2C44sTd8YsSc4WhNhi8nQ+lsuL+w1lrSq08fS+THSvYCbmdomHb3S336F5VJXnc/D3Lx9bKe3MVicQRvK5lrJycx0KNkkAGv/gK3q+DcRTx4BLfvhJxNOHU6GxrPunRhYWHYrz8mj2MLM3DDZjxwGC7Y4d7jgNtMeIFv6s4bm2BHc+H97vaHtd/t8HCS+X1vxwXNufWh7mIusk9zq065YEdz8Yh3fvaz5j//+ZSRQ6o3JrB5g3D8xyyuC+venrVsybqEYUxnHBPF0gbAuOZDP+hYfmA8fjMNytN9KYL7EvEqyvtqr7MxvM7AMckpEkLdpcKduvtWn/b0EM2khFN1dapPTevUwcK6ZbSjuZvu6l3D+W6Vh3aqEwM9SjZF4MFTLL0OJ77G3ftw7adswSIcn4KxcaxrV9ayJevZk8UbcdIUZl5SnbsL9xdCyWWo+iHgZhN+xP+ReXt6SK0ue11HEE/GlPrz3T06RlYWPccUrqXByaloGwebht8b9N66yA/ZyJ7YL5J1bMfCWrOPOzJTd5zVD+cNxOx43DoSbePgqylwaRZU1CHgr9YPTSU3pLpzO4PKJNEeQ/ok77KoL/dXrKX07gaZzPiu7r4YX9eMrLHe12od7mKfuxPXTkVioEfJRgg8fQXllXD+Eh45gbv24roczFiCcxew4SNYdDQLC2OdOuGAgWxMMqalY/YnkLsLjxbhxStw92HAjScaBu/VXQrcqW5sD8cF7aBgTw8xvB8iCILwfnPj+4IgOG5vhwslft7vbn+4yBUzdHxCzKcXiZqqOhLlAUZZouKadVd3xemx8ahRLGls0hrPrSWonF/Y/+/CfvGL6F/+csvkBLTE4ez+OKZT2R/+91bz9581a/a0WbNrzVs9j+uCyVEP+/wx/be/TfrNb/r96lfh/xt5/ex0uJnOLZG2kvlVJ3OVJK0VS21whS4cB3BLxK1kbmfgTMt0vEzuNZVefnPrw9rbXRUGd5WIa7zUoKdFXXdZy606bqKjA7zvqijVFXRNcpVIakHHd72M9DqYrAje6K624fSamHsjqyrTCzsViYEeJRseuPcYr96Er7/BLw7htlzM/gTnzsfxKSzeyKKiWHg4CwtjUVFsaDyOT8G58zH7E9yWC/sL4dQ5vHkHnlUHvAhEwPExMq+4saXotGpQq4Nkvt/d7nR87ekhTo1RCI94TR3fXfqv4+LyMUI6RZlYZ9+d78Ap1V0cHLnGu6kldX3KSlR9O27y3/5uc+4k2Bed807zy9nxbN4gTOle3vy/b3ftxDq0PP1e8xeR7bB3Rzak/bnf/+nb0X1wwSBY3mPTP//euioJDk6Ak1Ph0iy4Ndd9rF6qHGV9Oo3nlohbyTrF5GwLqC2E42pNnpfPbfda61N2TZmUygoiyZtc5zz33a2xLmGTu6FuTZJXslrd9fs85+7Qu8U8oda7uLZK5lZRne1UJAZ6lPQX8Og5lFfCBTsUnUTbQdieh2vW4+JMnJWKY8ezeCNG92EffojDR7IPP8R+/dnIRJw6HTOW4Loc/GwPHjkB5y5CeSU8eRnwshCNH3+qu1zYah9ENBN2lSI61F25IitohkLucOAau3c0lxvjuKY6il5n312yyjVqc9Vdx3i9WuIN/ZoS8a4JO5r/5E/drlxPwwszq0/0z/zH/1OwYhSuM+Hs9rn/1vzWxN5sZE+M6cx6dWAd2rJWLZ81N9zp2okN7YZjPsLpfSF7aNXg95I/6FCxfeStxP+M6N0Xvp4CFwaN/dm7S76cJ5covdy1laxXTG2766m7ctODWondt3sd6lM+s3Faok7UVya9RGssf2rrxiRXJXuu7vodzHm8l2sWekEXeXPoFZ9zd9TdTkVioEdJPeBZNVT9gDduwwU7fHUaDx3F3ftwy3ZcvQ7WrMfUOThuAhtmwj59WefOrFUrFhHBoqJY3BA2egxOm8EWmXHlatyyHa02PPYlnLuI12/RFjbCXwRO3bm+O1fd9Yd+j9RdEzD3Xd0V452oB4prOoPbOsbr1ZKn6q7dp6ZTIq7l1VUpK/7019Ozp8OJSWgbi7mjYMsIXNp9/+/+UJLcq7TZ/7sZ24PFdMaodj8YmlW3acXatmIfhj1p9/71np1xcNvCZu0ezuiH8wdh1hBca8KtI6vTm3X+3043j0/EU1PxwswDA37WbtZ48RkBnkjwfHdtYLY2P9t9u9ehPhWi5VRxj+eUeoleq3vdfHf9DuZh39ZDvXLkcYCEf3fU3c6G9N3h1V/g8QuofIA3buOlq3CmBI4Xw8EjuGsvbtqKK1ej2YJp6ThxMkschbFxLDqade7M2rRh7dqxLl2wdzSLG8JGJeGkKZiWjosz8ZO1sDMf936OR4vgmwtY9h1U/QAv/xzw4Z54qwiguvOW67TqrrdDTROk1fd03SVaY5WOyI7mtYYiFf+S4tgyfbWnhwia4Lb70bPWoV+pcBoLdUrkRo34+5jeD9HOEuDu/OrCLh/93e82fDYFCvsu/6d/WjczEdcn4LKhuGgwzu6PY8OK/u+fbg3sigM/xKh2Dz8IfRnehrVsycJaV7drVtamLfaLZHFd2IiemByFU3qeC/33LxJjMGsIrjbCphGwI3b3B7/s9HEfODYRiqfgmWl4YWb1gS4Rf92s4PZcuL8QdjSXr2e7mS54o+68RV9V60iZ6iwNcBK9UHepEeWJ9vQQVWtq+rzu+hc/TOLZIwlqdZcvvsiaQ6+Pqe+OOtqpTtQZheDVX+DJS7j3GO7cwxu30V4GJZfh1Dk48TUeOop7P4fcXbhhM65ag5YsNn8hzpyNEyaypNEs3ogDBrKoKNa5MwsLYy1bsg4dWLdu2DsaYwYzUwJLHotz5uLc+WjJwjXrcesO3FOAh45C8Rn4thRv3oGqH+BHDPjwTRBu8F7dlY+Kue52z3fbqo7kqrs0JKm8K2W6ZgFV/l12uiIw7ggexsujgmK6apVUlbsqkWOkfM+RjvEa32iStj49KZF2sxunRNxd65qGEx1WWdkVu9V0dlfIR3zNkZXzr0z/7b/3j8FvpsGXk6EwBQvG4mdJFcP+a3z3XrhsKGYMZnMG4rS+OD7y7O9/f+S///vrP/7x3P/8T2XnCNYt/EVrw9NmzbBFi1ctWrxo3uxppzDWswNGd6hs/j9f/uEPh957b9/vm98Z/zFOiTz6H388M2kgmmOrV/bY9a/vHZlvhHUDD3zwz8PeeSf217/u/6tfffzL//xs/Vg40HfRL/5jy/aJ8PUUOD1w+t/9bs3nM+FK6pUZ7/7jT3/693/1V3/9k58IQoj5NG/fnzTp4VadJlGr7vpNzKlk1x602O7y1tRmpNfBuE2vamLP701UPP6uNMlVrhDz6UXVVSmZf/qrf/zpT9/52c9C/uZvek0Zjedn4Jlp1Uubtfr5z8N/8YvIf/iH7v/Y7NTeMbhrNOaOwq0jK4y/T+7eC1cPwxXxsCoeMwazeYMe9vnjxk6ROP5jTOrFEkcx4zCMGYx9+7GPPmJdurAOHVjr1qxlSxYezj78kPXogb2jceAgNjSejRiJEybipCk4O40tzMCly3H1Oty0FXbmY8F+PHwcvjoN5y5i6XUor4SqH2gDGhGsBPJddYF9y8pbgueVrIqQ19OTZnUyyXF81QK4PRfK5oB9Np6fgaemQtEkOJyCX4zDvcmYl4RbR2LOcFw9DFYPw8w4NMfigkFszgCc3R+n9cVJ0Tj+YxzzERvZkyX0YEO7sZjO2D8SozuxjyJYx+Z3W7SCiLYsrDVr3Yq1aPGiZUs0dmMd2rJO7VjnMNY1nHVvz3pFsI87Yu+O2KcT9o/EQZ1ZTGcW14XFd2PDurOEHmxEDzaqF475CJOjcPzHODEaJ0fjlD6weDDO6Isz++Gsfji7P6b2Z6kDWNoANmcgSx/I5g5k8wbhvIG4YBAujMFFg3FRDC4ajOZYNA/GxbG4JBYz4zAzDpfGYdYQWG/CrCG4NM6RuCQWF8eieTCaY13nLozBBYNwUvi2f/vDNxMHsvSBbM5AljaApQ6A2R+dM/z7UWM/nNkPZ/SFxYNxSh+cHI0To3H8x5gchWM+YqN6sRE9WEIPNqw7i+/G4rqwmM44qDP2j8Q+nbB3R/ZxR9YrgnVvz7qGs85hrFM71qEtDuvG2rZiLVqw1q1YWGsW0ZZ1DmPdwtlHERjdCftHspjObGg3ltCDjeyJYz7C8R/jpGic1hfGhef+2x9OTx6E5ljMjMM1w3C1EcwRc975r30rRuHeZPxiHBSfgbPf4qWreK0cbn0PVT/ADz/CCxbw0ZMgGjMBfhOtj+/cIPxVydrXutWfuntoUgNWjjxAIiRsnld9ay7cmgs30+H6HLiaCqWz4fJs/HYWlszAc9PxzDQ8ORW+ngJfToYTk+DoRDicAocmwP5xaBuLBWPRmoy7x+CuJMxLgl1JuD0RtyXi1pG4ZSRsGQGbR8Cm4bBpBGwYDjkJmDMcP03AdSZcOwzXmnDtMFwzDFcPw0+MuMqIK+MxOx5XxOPyobhsKIgLIsuH4op4zI7HlfG4yoifGHH1MFwzTLoCrBt4yPCbzVMSICcBNgyHTSNg0/CKYf9leucdU88o3DoStyXi9kTYlYR5SbgrCXePQWsyFoxF21jYPw4OTYDDKXB0IpyYBF9Ohq+n4MmpeGYanpuOJTPw21lweTaUzoZraXB9DtxMh1tzq2/Nhbvz4YH6hYy1VL6H+xgCPUoSRFMk8L8A+2Jr6NCt8wP+e7LBjftK3h0jCELo7irFAS+qhgwV/nXh1/XVNI2n3V9UDRnqCDqrK6GJ8uLrbkPTJgTcDO/s1CYG/Jc0CaIp4qW6B3xcIAjiLSHgoyRBNEW8jMwTBEEQBNFoIXUnCIIgiGCD1J0gCIIggg1Sd4IgCIIINkjdCYIgCCLY8FXdreKrtoy2gJeEIAiCIAgRn9Qd7BaDYLLC64AXgyAIgiAICZ/V3WCxk7oTBEEQRGOC1J0gCIIggg3f1N1qohV3giAIgmhseKnuADajIAi06E4QBEEQjQ+ffXeKzBMEQRBEI4PW3QmCIAgi2CB1JwiCIIhgg9SdIAiCIIIN39QdbEZBMFpJ3QmCIAiiEeGH98xbjfQmWoIgCIJoRNCvyBAEQRBEsEHqThAEQRDBBqk7QRAEQQQbpO4EQRAEEWz8fwvYk/O3q95QAAAAAElFTkSuQmCC" alt="" />

返回目录