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模版模式,又被称为模版方法模式,它可以将工作流程进行封装,并且对外提供了个性化的控制,但主流程外界不能修改,也就是说,模版方法模式中,将工作的主体架构规定好,具体类可以根据自己的需要,各自去实现,这可能会让我们想到策略模式,两者有着本质的区别。

何时能用到它?

我们看一下策略模式的应用场景

1、 多个类只区别在表现行为不同,可以使用Strategy模式,在运行时动态选择具体要执行的行为。
2、 需要在不同情况下使用不同的策略(算法),一般会定义一个接口规范,使用不同的策略方式去实现它
3、 对客户隐藏具体策略(算法)的实现细节,彼此完全独立。
而模版方法模式的应用场景
1、多个类区别在于主流程中的某个细节
2、客户可以自已实现模版里的抽象方法
3、对客户隐藏具体的实现流程(方法的组合的顺序)

模版模式的结构图

 
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OPy6l1v1DhEVT8VjJ5D5l2xHgi21Bw3lB0Q39Hpv3rsfZJvaWv1KzQfFJ63lcSxux8P/STcrwf+qReW/1Ef0dmKLphKDhvPJFNph0hd+6m4rZQ4RHUul9MPy5HS5aY5nxu/vJLaskSw/ffD8fE4Ph4nJJCnzpFFxUx9+8zL1+yCgU7MiJ0rAAHgOwExiuyG+kd1r16p694oLtabEzPJJP3UNEx1M/rzF9/g774whwYZFq1mgqPIP/cQaYdMeQVGK7f0j2o1r54q/0g13T0jgxoBReQJMoyZ/f27cdnzxSPHilkMubxY6asjD53jk5Pxzt34shIFBKCgoLQ3Llo2TL06684Lg7v309nZdElJcyjR2xrK6vXCx26WQrITmDcGsaOqI3aZoXur1r9levG9Exy25+mX341BwWhgADT2p/JLQn6vDOGM+cMN0t1VTW6hkaNokty3S4xl+tzdizGrErFNjczdXXM3bv0hQu4sBBv345+/hkFBKCgIPzbbzgpic7Kom/dYp4/Z5VKlqb9GbxZCMhOYOJjQ9Va45CGHNIY7L8Ot7Zryu/pM7MM0ZtN336LvvjC9ONyMjLKsC9Fl39GU1ahrm8YUvY5fC189frXYQ3plXdj2ZER5sMHpqqKvnCBTkvD0dFoxQo0Zw767jscF0fn5jLV1Wx/v3eTBoDsBKZSVkaSZPw9escDHH+PTr2uLEj/q2r7qXc/x4ws+mog6Nu367fdTSw4nf1435Uubhv4KtTXYY3Rp5eesL29dF0dffYs3rYNLVuGgoNxXBydl8fU1DB9fd491iwEZCcwlbKykRHdkuOD6dGXmoLXflj6c9WqbdmRZzcl1y0+PvxZ/qgrpZ2Ii6+CcrcGR3wrOxvY4WGmro4uKMAJCWjdOrRuHX35Mjs05NODzmBAdgJzee0Kc2Rk38Kl5/84EZL6cRp/gZzg8vMbwj/Lz89vAN/5rgZHjAJeZ8e2tNCZmSg4GEdHM+Xl/jz0zABkJyRo//6GpUHav6qn97fHee3ly5fhn+XnhzcoFIr88Ibwz/JfvnzplvJsENwpoi0/9+wmg3n+HP35Jz54UJCjSxeQnWDgpCSmqoqbs5u27Di7NTQ08GPYhoYGzn1u9e9GR20Xpl2e70G0JRLZcTD37+OdOwVsgOQA2QkDLirCV6+Ojs3ZTVt24Z/l54fbyi4/PD/8s/xpyG7UG57yyk7EWaKS3ejoKL56FRcVCdsGCQGyEwyclMQ8eBAfG+pJzy78s/yBgYH8/AZ+GJuf3zAwMDAN2XFYP7ResN/M4TY2+7HZm9RL2Dk7G5jKSpycLGADJAfITkhwaurr4CDtg4eeyI7r0DU3N4d/lt/c3Mw99LxnN9ka5wuf2fXsHG4j0RJJz46pq8MJCejQIUGOLl1AdgLz5vBBc3T0wPwll37PWHuwedqyc7jsruycr7TfZtQ12fEIbitJy4758IFOT0dBQTgujpHJ/HnomQHITmC4ObtFmeojm682fv1ry5LV1Su35G48HZNUuyRjYErZWb9BwQnOW29QjE7es3NXdoJLSqKyY1UqpraWzs/H8fHo55/xb7/RRUVwl4FpA7ITGJs5u8Bjqpik2pyIM9Urt/Qu/Lp34dePVm3NiTgTvfPxd0e77GVnfekJ/9XzS0/sF2y2dPham5VOXiXR8umcHcswbFcXXVtLnz6Nt2xBS5eib77BW7fSZ84wjx8zKpUXjzU7AdkJTHxsqJN3Y5dkDMTurM3deLpq9fb2wB/xnDmdgT88+yHq5i8HsiILd2yv/HV/o7ajAy4q9pvsvPPZ2KEhprGRkcnowkJ84ACOjEQ//IA+/xz9+CPasoU+c4aprWUHB72bNABkJzDuXme37FhP+O4X+7aUng7PLf8p+c2yDaqFwWj+fFNICBUba8jONubm7ttSGpNUuy7l/dfHeuecMgnuiBlTrsuOpSi2t5d5/56prWVKS+nCQnzmDN66Fa1Zg+bPR8HBeMMGvGsXnZvLlJYyL1+yPT3+TN3sBGQnMJ5cZ8fX3GxydZo8dmftni2lZ8Jybv5yoHrllrffrFcu+s44d5563qJPQStffhdeGZJY9NuR7IiC/fEl8Uk161LerTykCM5QfZllENwjkihOdq1v3sjr6hRVVW3l5UxNDV1SQhcU0EeO4MREHB6OVq5EixahL79E33+Pf/8db92KDx6kc3PpsjKmtpb99IklSaFDN0sB2QmMJ9fZuVjzT+p+PNyxYe/rbYkPU2OL88Lzin9Jfbgq4c7a3a1fhfQsWqaZF4A+/1z95WLl4u+bgte+/C68euWWu2t3X/vtcEFodmbU+QNxN3dsk0UmPw3b8/K3/W/XHmxefqht2bGeJccHF5zQSq7zOOeUacEJ7ZLjg8uO9aw41Lb2YPNv+9+G7XkZubNuxzbZgbibmVHnC0Kzr/12+O5Pu6pXxL/8LrwpeK1y8ffmRYvR55+bFiwgg4MNy5cPx8XhhAScmkrn5dHFxczDh8zr12xHB6vTCR0rwAEgO4Hh5uyyn6FaOTntrzZ3PZnGHv5uNZx+OPT8advVm01v7jy7c+ZR0/myv45e/5R+5kXSya6kg02RO7u37en4OUL98++9K9Zpf1w1vPQH45KlhoWLzf+eh+fMMc/70rBwseGrr4eX/qBdvrp3xbrhdRs61kUqdxyQb9jSH7WlJWx7X8yfTZFJPfE730fv7k7Y0xizvysx5Z8taV07U18nHOncc7Thz4yO/cfrd2a1p2Y925XblnaqPvlU+4ETL3ec6Nx77NX2dOWuQ2+2HupKOvhP3IHu7fvebd7bs3XXh6jk3rgdzRsT+6ITPoYmqCLi3sQfHPo9omvNHyOr16m+C9Ev+14T9DUVsJia9yWeM8f073lUwGJN4FL9su9V34WMrF7XFbJhaP3Gxs37euOS/tmS1p6S+WT/2Zbcosqs8sbrD29eetHwsPF8RedIV298zB+CX2cHTA+QncBUyspMJjNCyGgkp/fV4V1Ppr23aX81DKvNQ0PGTqW5vd34oQm9e2d8Xm9++pSsqTH/9RdZed98/z5ZXoEqKsjSMlRWRt28iW7dIq9dN1+/Tl6+Yr5yhTx33nzhAnX2rLmggMrPN+flUTk55jNnqNOnzefOkYXnzBcvkhcvmYuKyKtF5hs3qOJidPs2VVKCysvJsjuospK8JzNXVZEPqsyPHxtrH5sbGsg3b8ytrUb5J3NPj6Gv36zTefI9kiQlhouKgekBshOYSlnZtF875V1PvNhOgANkJ11AdgITHxs67ddOedcTL7YT4BDPZ2MBdwHZCYyHsnN+1xMX90NMZNrtcfdYPj2Qj4CenXSRZOBmEh4OY53f9cStvfnOPjZ75h86P6I4bQiyky5izNOswnPZObnriVt7A9m5AshOuogxT7MKz4exTu564tberOXicLDpZKXNsv1Km5dMdkT7Y9m0UHADwpyddAHZCYwX36Cwv+uJW3ubsv9lLxqH2zjZbMo9O3TilM3wJ9Czky4gO4Hx4qUn9nc9sWbKvbkilyn7eg5N5PqencjO4Tb+B2QnXUB2AuOJ7DgcXlTMsWgMV3znek/Klafc2jP07AA/ALITGE+GsTz2nTjOdNbWcyI7YiKjE/tQ9isn65E56Xk534nznTvfxs/AnJ10AdkJjFdkZ491t47v3PniQLMN6NlJF5CdwHg+jHUILzvrBV8caLYBspMuIDuB8bXsoGfnXUB20gVkJzC+G8ZO4w1ZYEpgzk66gOwExkeyA3wE9OykC8hOYLwyjIUenN8A2UkXkJ3A+Og6O6+0DbAHZCddQHYC4+HHxbRw807/AnN20gVkJzBiuHmn/UXFvkPwq4I9BHp20kWqmZsxeH6LJ89v3snhOwFN9sEvKQKyky4Sjt3MYDbfvFOKgOyki4RjNzPw1v3svHvzTucfg53s46v2H6cddTRudf7hWeeHExyYs5MuIorR7EScN++0fmi/4HwbJ5u5tZ/JNhYW6NlJF3ElaRbi4TDWnzfvHPX2/ezcOpZIANlJF9GFabYhrZt3uv6UK3vml8XfoeMB2UkXkUZq9uD5x8UcXlTM4eLNO4mJWK8ZtephOZmzs3+Vw0PYH2uy8a/DY4kBmLOTLuJK0ixEDDfvFBWs2cwaDP/nP/+TValYpZJVKP7vf/0X09jIvHrFPHtGP37MPHrE/PUXU1XFPHjAVFYyMhlTXs7cvcuUlTGlpXRJCX3zJn3jBn39Ol1URF+5Ql++TF+8SF+4QJ87RxcW0gUFuKiILiigCwvpc+foCxfoixfpy5fpK1fooiL6+nX6xg365k26pIQpLWXKypi7d5nycubePaayknnw4NzPK7suXVJeutRx9WrnjRvMq1dMYyPb3MwqFKxSyapUrFrNGgys2Sz0DxKwBWQnMDPjFk8sxqxGw/b2sgoF8+4dU1/PVFczFRX0jRv0hQt0bi6dno5TUnBSEtq+HUdE4A0b0C+/oJAQtHw5WrYMffUVCghA8+bhOXPQv/+NAgLQkiUd//u/Lf/zP2//+7/RL7/gDRtwRATevBnv3Yu3b8d//ol37MBJSTg5Ge/ejffuxfv345QUfPAgTk2lDx2iDx+mjx6l09Pp48fpzEz65Ek6K4s+dYrOzaXz8vDVq3ReHp2bS586RWdl0SdP0pmZ9PHjdHo6ffQoffgwfegQTk3FBw/ilBS8fz/euxfv3o2Tk3FSUsPSJSObNo1ERQ3Hx2v/+MPB97JkCQoIQP/+N54zB82bhwIC0FdfoWXL0PLlKCRk/HvZvh0nJeGUFDo9nc7NpS9epG/cYCoqmOpqpr6eefeOVSjY3l5Wo2Ex9t0vblYBshMYMd+8k9Vo2I4O5u1bpraWuXOHvnSJzsrCBw7gbdtQcjJauxb98ANasgTNm4fmzkWBgei771BICP79dxwdjbdtw3v20IcP01lZ9NmzdFERU1bGVFXRdXW2vaH+fnZ4mNXrWZPJFz8K7+LWnB1rMrF6PTs8zPb3c71UtrmZ66XST58yVVVMWRldVESfPUtnZdGHD+M9e/C2bTg6Gv/+OwoJQd99hwID0dy56Msv0ZIl6Icf0Nq1ODkZb9uGDxygs7LoS5eYO3eY2lrm7Vu2o4PVaPzzQ5AoIDuBEeq27Kxez7a1MS9eMPfu0cXFFoslJOCwMLR6NVqyBH3+OQoKQitX4j/+wFu34v376RMn6AsXmNJSprqa+ecf9uNHtrubVaslISlvIcicHUtRrFrNdnezHz8y//zDVFczpaX0hQv0iRN4/368dSv+4w+0ciUKCkKff46++gqtXo3DwsadWFzM3LvHvHjBtrWxBoN/2ixCQHYC49Obd2pUKl1jo/7hQ8OVK8aMDPrECRwZiVauRAsWoIAAtHo1jorCu3fjs2ctFqupYd68YdvaWLWaZRhfNEzqiPzdWJZh2OFhtq2NefOGdyI+cwbv3o2jotDq1SggAC1ciFauxJGR+MQJ+tQpuqSEefqUbW9nKUro5vsWkJ3AeOt+dpqBAd3r14Y7d4y5uXjPHpycjIKD0ZdfotWrcUwMnZZGnzvH/PUX09DAdnSwRqPnB52diFx2rsAaDGxHB9PQwDx8SJ87h1NTcUwMWrUKffklCg7GO3fivXvpwkLm4UNWLp9J3XaQncBMW3aMWs3U19MXL5LbtlHLl5vm/rv9/wW3hkQYMzMNN28yHz6ww8PebSowOiNk5wR2eJh5/54pL6dzc3FiIlq7Fs2bh1aswElJ9MWLTH09MzIidBunD8hOYNwaxjIUxfz9N33sGPrpJxQZaYqMJNPT5fn5Sf97BO5n5x9m4XV2bGcn8+ABnZWFN21CkZFo7Vo6PZ2prWWkNuwF2QmMi7Kjnz7FyckoPBxv3Upfu8bK5aPeu58d4Dozu2fnCqxcThcV4a1bcWgo3rWLfvZM6Ba5CshOYKYcxrIUxV3JwVRW2jzl3fvZdRQEj39qIaHardd6zoSjBxd0eGm31QUTdtVREOzhtways4aRydCWLXjzZvbfvuoAAB1FSURBVElcRA2yExjnsmNpGoWHM/X1Dp/17v3sRjsKEixmGF/yH1bHtDHU9KlO8J42LYDs7GGePcPh4UK3YmpAdgLjfBiLi4rw1auTPevd+9nZuo7rawUXdFQnjHe2+A7YeP+oOmHKNePdtrFVdmvGjj4murGjVxcEW73MZs9WDzsKgonghITgsY6hVU+R25jb1r5JDl7rjFk4Z+cKzoMqEkB2AuNcdizD4I0bmbo6h8969X52Vnbg/+A7JphmtKMgeNx5vELGFsYFNLY01kGz76nZreGPbiWb6oSE6vH92h3L5kAdBcHBCdUdo+P9Obv+Kb8v22+Ef+3UXUHo2dnDPHmCNm4UuhVTA7ITmKnn7MxmHBuL4uKYigqbp7x5PztHI1ebdVbesTxj/yLHE3820rRfY9uvG9/IbpNJDmQ/Bp/cdbbfCL+l1ROTAbKzhikvx/HxOC5OEh/gBdkJjIvX2dH19XjPHhQaiuPi6CtX2JaWUXfuZzfl/l1wHd+bs+7XBfOGKbCssdXFuL/GluzXWB1pbEej1QncIHZ8BDvhWDYH4vfAt81pv27CkjuuA9mNss3N9OXLOC4O/fEH3ruXfvFC6Ba5CshOYNy7zs5sZp48oTMz0bp1aONGHBlJZ2YaSkp07945/CfZWq02NTV1Stnxs3M2a2yGlfZDTQebjU2j2U3yWc3OTVwzoY9mNd822WyhZcWEA03ekIRq621tjhhc0DHxWFO/VTsL5+zYtjZGJqMzM3FEBIqIQL/8QmdmMnV1LE0L3TT3ANkJzLQ/G8vodExDA33lCt61y7R6NfriC9OqVdSWLWR6OnPnju7pU+2nT11dXYsWLerq6prR1xjbu9qHzOyeHatSMW/fMmVldFYW3rYNhYSgL75AISF49276yhXm1StGpxO6jdMHZCcw3rrFE4sxq1Awjx7RFy7g/fvJHTvUCxaY5szp+OKLF3PnNqxaZTx1iq6qYurrWYWClXJkhWUGyI7ValmFgqmvp6uq6IICnJKCN21Cy5ejuXPRN9+gXbtwSgp94QJTXc22tUliMs5FQHYC47v72Wm12oiwsHULFx5bs8ZQVGQ8cQJnZeHoaBQSghYtQvPnoxUr8MaNeOdOnJ9PFxbSt25Z7hQgl7ODgyxCvmiY1BG57FiE2MFBVi63fM7/1i26sBDn5+OdO/HGjWjFCjR/Plq8GIWE4OhoOiuLzstjysqY+npWqZxJXnMIyE5gfHqLp/Dw8JqamvDwcPthLEuSrFLJvHrF3L9P37xJ5+bSaWn4zz9xZCT66Se0dCmaOxcFBKAff8Tr1+O4OLxnD52RYXHiw4fMq1dsczPb2ckODs6qe6gIcz87g4EdHGQ7O9nmZubVK95idEYG3rMHx8Xh9evRjz+igAA0dy5auhT99BOOjMSJiXRaGp2bS9+8ydy/z7x6xSqVM/4+Tk4A2QmMT2Xn7nuyNrB6PdvVxbx/z9TVMRUV9NWrFicmJuI9e9Cvv6IVK9DSpWjBAjxnDgoIQN98g1auRL/+iiMj8ZYtODkZp6bSmZn06dP05ct0SQkjk9GPHzP19cybN8z79+zHj2x7O9vTww4MsBoNazSKv3Phes+OxZg1GlmNhh0YYHt62PZ29uNH5v175s0bpr6erq1lZDK6pIS+fJk+fZrOzMSpqTg5GW/ZgiMj0a+/opUr0TffoIAAPGcOWrgQLV2KVqxAv/6Kdu0at9jVq0xFBVNXx7x/z3Z1sXq9334OUgRkJzD5eZm06P/CXYE1GFiViu3oYJqamIYGpraWqay0/DGfOWP5Y961Cycl4U2bcFgYXr8erV2LVq1CP/yAvv4aBQWhBQvQ3LlozhzLUGvpUvT992jlSrR2Lf7tNxwWhqOi8K5deOtWnJCA//wTJybipCS8cyfevRvv2YP37Rv/NxSHD9NHjtDHjtHp6XRmJn3ihLP/QXHiBJ2ZSaen08eO0UeO0IcPj/8Din378J49/D+gwImJrauWj0REjGzcOBwTo12/HoeF4d9+Q2vXopUr0fffo+BgtHgxmj8fzZmD5s5FCxagoCD09dfohx/QqlVo7VrMvWTTJpSYiHftspwMzpyhr1yhS0qYykqmtpZpaGCamtiODlalms03FvY6IDtAXLA0zVIUq9Wyg4Nsby/b0cHK5cyHD8w//zAvXtBPnzK1tUxNDfPoEfPwIVNVxdy/z8hkTEUFU14+4R+MFReP/4OxS5foixcd/3exixfpS5fG/7VYcfGEfy1WXs5UVDAyGVNZyVRVMQ8fnv1llfLKFWVRUfv16x23bjH//MN8+MDK5WxHB9vbyw4NsVotS1GSuyxjNgCyE5j8vMzmpndCtwJwCZI09vT0iPkNCsAJIDuBeVh170bxJaFbAbhE3ZOa03knQXYSBWQnMMPDQ2mpyRiu8xA9GKG01OSqBzKQnUQB2QkPRuj1K8d3rAPEQ0e74mzBqZaJCN0owA1AdqIg83hqfb3j+zgBYqCjXXGvoszGdK2trUK3C3ADkJ0oUPX37d61taNdIXRDAAc0N71L3hlvM4BtaWnp7e0VummAG4DsxIJOq9FpNYUFp1T9fUK3BbBAkkaSNJ4rzK39uxq6dVIHZCcuHlbd25YQWX73Vne3srHxtVzeourv02k1cnmLtJafP/1b8DZ4stzdrbx44fSOPzffuVPS4gihkwK4DchOdGCEVP19z58/zTmVkXHswK2bRbV/P8o4dkBCy5fOn94SH56SskMk7XF3+UbxlSdPasvKbr15/cqh6bq6uoSOCeA2IDvx0tfX5/AvTfwcPbQ3L/d4yt5EoRvifWD0Kl1AdmJHoVAI/QfuHs/qHicnxWGEDqbsKC8vFbo53kSpVAodB2D6gOwAL5OZcbC6+sHo6Ghj4+uDKUlCNwcALIDsAG/S261MTornPxByMGXH69eS+YcswMwGZAd4E75bxwGdO0A8gOwAr2HTreOAzh0gEkB2gNew6dZxQOcOEAkgO8A7OOzWcUDnDhADIDvAO5zMPLQzKZa7KDfj2IFjR/bxy3t2JRw8sFPoBgKzHZAd4B16u5U1NVV8xceGWj9UKORCNxCY7YDsAJ/go/+aBgDTBmQH+ASQHSA2QHaATwDZAWIDZAf4BJAdIDZAdoBPANkBYgNkB/gEkB0gNkB2gE8A2QFiY9bJrrTk2qmso1C+rvjYUMHbIOYqLbkm9J/CrGPWyS4+NpT7PwNQPq3Xr18I3gYxF/R8/c9slJ3QTQAAyKEAgOwAQAAgh/4HZAcAAgA59D8gOwAQAMih/wHZAYAAQA79D8gOAAQAcuh/QHYAIACQQ/8DsgMAAYAc+h+QHQAIAOTQ/4DsAEAAIIf+B2QHAAIAOfQ/IDsAEADIof8B2QGAAEAO/Q/IDgAEAHLof0B2ACAAkEP/A7IDAAGAHPofkB0ACADk0P+A7ABAACCH/gdkBwACADn0PyA7ABAAyKH/AdkBgABADv0PyA4ABABy6H9AdgAgAJBD/wOyAwABgBz6H5AdAAgA5ND/gOwAQAAgh/4HZAcAAgA59D9uyE7V31dTU3Uq6+iprKPbEiLjY0OlWWFCN2D6xf3wy+/e6u5W+i4TIgdyKHhJNIeuyu5h1b1jR/aVllyTy1s+fmpTDRkH1NSgmhoc4crE1RBfmgk1rDENa21LrTWrtWa1zlIjdqXR25ZWjyxlGC+ddRnHS88XibkyWBeFDRQ22hVJYdLEFc0VxZd5QpmsC1nKjBibQnhCYb5oS9E0aylmvBjrYi3V1aVUKD5yv4uiK+dI0ujTcIgQyKF9FCGHLjK17FT9fZnHU8vv3lINGRXd+g9tmqaxam7TNLdrmts1Le3alnZtS4e2daw+do6VUvdRqZMrdfIuS33qtpSiW6/o1it69G09+rYefXuPvr1X396r7+g1cNXZZylln0HZb1D2G7r6jVx1q8arZ4ArsmeA7B0cr74hS/UPU1yp1JYaUFMDI9QA/+fh6O+B/xtwFHqksQn6eLKx3jgh0GPZpbni88oH1GEcxyLIYvvwsSw7OtrQUH/syL6OdoUfUiIGIIeO/As5dIMpZNfdrUxLTW5vb2/r0X9QaD4oNLM5ZOKRHcOyLDuq1Woyj6fK5S3+yYqAQA7FKTtp5dCZ7DBCmcdTlV3dze2a94oRCJnYZMeyo0aj8eCBJKmMI6YH5FDkspNKDp3JrlJWVikra+vWv1eMQMjEKTt2dPT16xdn8rMGBwf9Fho/AzkUv+wkkcNJZafq7zt2ZF/foPH9pxEImVCyM5sRSZLOQzY6Onoq6+ijR1VtbW1+y43fgByKQXYzI4eTyo47nbZ2ah2GjJgIHzLrlXzIbDbmEma9xpWQ8Ru7FTLro0hOdghhlUrV3NxsNBoxpp2ErKGh/nTeyZaWFrlc7rfo+AfnOXQcxZmeQz/LbsbkcFLZnco6+lHe+u7TiPOQNbdr+JBxC9wZlc8Zt8CdUfmQcQvcGZXP2ZRnVHdDxm3PR83XsuOO4q2Qmc1IrVZnZWWtX7++oqKCoiiE8WQh0+m0e3dva2lpaWlp6erq8lt6/IDzHFpC2KaZVTl0Ljvf5fDevXuSzuGkskvZl9jTP+Rd2fHDBz+EjE+Y34axXgyZyYxIkkxPT1+/fn1ycvJ3331XWlpKURTCtMOQjY6OxseGtozhn+j4B+c5tJYdP4yd8Tn0m+xscvjtt99KOoeTym5bQmT/oGFK2fGms54r4RPmVsgIO/iQWa/kQ8av6Rkw2r2UmCxk/FMDI5TNxnzI+DVqrdl+n1zI+IdcyKw34EPGrzFSmLBjspCZEVar1enp6atWrZLJZP39/bm5uWvWrJHJZHq9nqaZKUPW0dHhn/T4Aec55H6Sk83Zcc9CDvk1HuYwJydH0jmcVHbxsaGqYcqtnl2LXcLcPaPyvwDrMyq3xuaMyi3zUbPOmcOxgzV81PicDY4Fa2hsYVhrWVDrxnPG9+y4h3y2HJ5RuYd81EiK5vfj5IxqMiOVSsWNGmQy2YULF6Kiourq6s6ePRsWFiaTySiKomnaechEeFKdNs5zaAmhI9nN4BzyPTtf5/DkyZPWOXz69Kmkc+hl2XHL1u+CTSNkNsMHJyHj4UPmcPjALfcP255CnYSMhw+ZzTDWehu3QuZ8+ECSZFNTU1JSUl1dXWFh4YYNG+Lj49esWVNeXl5YWLh//36SJM0ISStknjA92c3sHFoPY/2Zw5CQEEnn0Juy4xM2Wci4ZS+GzHquxCZkDieGuQXruZLJQmY9V8KHzCs9uynnSoxGo16vz8/PX7Zs2Z07d/R6fVpa2urVqx8/fqzX6ymKmnL4ILaQeYLrsps9OfRKz24aOUxNTZV0DqcpO2Ii1hPD1ti/5c9f32S9knvL33qNzcSwzW5t5kpscPiWv/1cyWQM251UeSbr2REEwb3fzz90PlfiJGRmRKvV6vPnz69Zs6akpISiKJPJTJJkRkZGWFjYs2fPKIqiGUZaIfMEF0+6HLMkh5P17AjIoVOm37ObhRdz+uE6O274kJCQUFFRQZKkGWFMs2aEVCpVZmbm3r17pTh88ATIoSDX2c3IHILsxCU7M8IajUapVOr1eoQw/zEdM0KDg4NKpVKKZ1RPgBwKIrsZmUOQnbhkhzBjMmOSojCmbT6TaEaIoihXrm8SW8g8AXIo1CcozIieYTkE2YlOdu5+AJv/fYk2ZJ4AORT842IzJocgO5CdqIEcguy8hUeXnvBv+c+SkIHs/A/kEGTnLTzq2RFj19lx7/fP+JCB7PwP5BBk5y28MIzlrtnhr1yfwSED2fkfyCHIzlt4+gkKG2b2GRVk538ghyA7b+G1YexkH9OZSSED2fkfyCHIzlt49HGx2TYxDLLzP5BDkJ238M5nY+1HEDMyZCA7/wM5BNl5C0/foJgwgpjpZ1SQnf+BHILsvIUX5uy4izlnw1v+IDv/AzkE2XkLL8zZObz3/4wMGcjO/0AOQXbeAj4uBrITNZBDkJ23ANmB7EQN5BBk5y1AdiA7UQM5BNl5C5AdyE7UQA5Bdt4CZAeyEzWQQ5CdtwDZgexEDeQQZOctQHYgO1EDOQTZeQsvyG71T+sPHs6eDSED2fkfyCHIzlt4QXYrQ37917/+dfBwtn3Iag4vJgiCIAIPPnUesg9pC4n5xz64HrLnxwO5a0cXHG/2WcjkJ7KqQHbCAjm0zyHIbnp4R3b5+fmhoaEHj2RPCNn1GCK8/KNS91FZEbogu8b5GbU+O8z1kDXkLIiq7FYZu1XNR49X+ipk7/MWx4DsBAZyaJ9DkN30mKbs/uM//pOvf/3rX2fOnGEYJjQ0NHUsZx87tTWHYw7WWYYPlzcGHnyuu7yRIAgitLgilCAIIuZKt17Rrb8SYblNBX9GrUvnzpaBh18aOvsM1yMJgiA2lsg2EgRBxBb3G59nxB59ZTt8qLecYwPTX5O9g+TNTQSxKS6SIAiCiCyzhOzViSCCIAgi6Phb6vZmgiCITXfvbyIIgogv05jKNnMNCcp8bxoujx+7fUbQyQ/mEZ35bsz4w/IYgiCIGFlVDEEQxJZyCJnPgBxCDr3FNGX3Tj70Tj70Xj70/tPQitXrzpw5Ex4efuBQVnPbCB+yy+Exl8fmSmqOxBx8rpN36eTFMQQRc5k/oz7Pnh9xb8IZ9UV2eHpTR6+ho7fpcLrMcka9FUsQsdfHzqjFkbHFNnMlr3Iijrf0DJC9gy3pxyt7B8newcpIIu7WENn3Jicys7V/mOr/JzfqRKtKTanUrcdP3B8YoQbuxhFE/G3ujPoud9PJ1iGNabg8PiCrdVhrUmurovkzakX84my5Rm/W6Ks2B+a90yPNvS1cvOCM6lMgh/Y5HNFBDqeD1+bsDhzKahpLmP0Z1TpkocVWw4fimLAbE4cPN2MInoWn6sZCtrFkfPhQHBl49JWxW9V8NIAgCCLitrHnduz4qwJyXnAh21TZZx2ysrjxbRbnvhqhBu7Gbbo7Pnx4czLIsgO7kDVmx5/8YBk7lMfEl+uR5t6WGBkMH3wO5NA+h9wwFnLoLt6R3f7UE02KEduJ4bqsefZzJXYhm3/sQ1uPvu1GzHzbM6rVXMnEkHWVxBKWuZLKiKjKiWdUvuxCNn5GHZsrsQrZm5NBAW727CBkfgByOGXPDnLoIl6Q3QeFukkx4vAtf5t3wbi5EoIgiIgKfmLYMleyMHA+EXjohfVcCUFEyvi5Eu4h/y5YcRS3KrbYdq6EIDZVWuZKCCKyrCU9gCCIoIx/rOdKCCL6/u3NY7vdfJ8bPgRYTrZBAQQRXW5Sa+UnFhMEQWyucDxXQhAEEVsFIfMpkEPIobeAi4rhOjtRAzmE6+y8BcgOZCdqIIcgO28BsgPZiRrIIcjOW4DsQHaiBnIIsvMWIDuQnaiBHILsvAXIDmQnaiCHIDtvAbID2YkayCHIzluA7EB2ogZyCLLzFiA7kJ2ogRyC7LwFyA5kJ2oghyA7bwGyA9mJGsghyM5bgOxAdqIGcgiy8xYgO5CdqIEcguy8BcgOZCdqIIcgO28BsgPZiRrIIcjOW4DsQHaiBnIIsvMWzmQ3oDbKlZpPSs2nLs2nLo2iS6vo0iq6tW121d6ta+/WtffoOsaqs3es+vQ2pey3VBdXKn03XwP67gF9z4CBq96x6hsw9A1yZeSqf2i8VMNckaphcsC61JYaHLHUkMZSw+NFDWuoYS2lHqsRLTWio0Z0lEZn0uhMGv14acfLrNWbdYbx0hsnFmk2jJWRNBtJM0kiS1GWokyWMpkxV2brQlzRZkQjPF4Y05imMT0BjLGYQ+YJkEP7HGogh9PCmew0Gk0vIAWGhobEHDJPgBxKCJHn0JnsKBOt0ZmhxF8kRYs5ZJ4AOZRQiTyHILuZUCIPmSdADiVUIs8hyG4mlMhD5gmQQwmVyHPoD9kRBOHiU062hHJSIg+ZJ0AOJVQiz6F7siutfZeYV2FfpbXvnP8UXMwZhGx6JfKQeQLkUEIl8hy6J7vEvAqHGyfmVdhHxzlTBg5qxoTMEyCHEiqR59Bt2dE0ZhhL0TSmaUSRevuQuZUb11MIJcWQeQLkUEIl8hy6LTuKMlKUkaIMFGUgSYNWM9jT+XF6IbN/CrI1vRJ5yDwBciihEnkO3Zad0ai1OfW1yxudh8zJ2ZKAieFZEDJPgBxKqESeQ7dlp9OpNZqh4eG+ocHeAVVXV0ervKnBrTOqfbAmQ/BfnlRK5CHzBMihhErkOXRbdt2drZ9a3rS8q29ufNb09mljQ82b51WehGzK9VBTlshD5gmQQwmVyHPotuwaG6qfPiqprbz2d2XR35VFNbKrjx8UTxYyh7mZbMhgvwA1M0LmCZBDCZXIc+jb6+ymDNlkwYKczaSQeQLkUEIl8hz68BMUUw4TrBdgrsSTEnnIPAFyKKESeQ59JTuHUyRuRQdC5nqJPGSeADmUUIk8h3AjgJlQIg+ZJ0AOJVQizyHIbiaUyEPmCZBDCZXIcwiymwkl8pB5AuRQQiXyHILsZkKJPGSeADmUUIk8hyC7mVAiD5knQA4lVCLPoTPZsR6jnYjnOwQmQ8wh8wTIobQQcw6dyc7DXXPBys9vCP8sPz+/gXvo4T6ByRBzyDwBcigtxJxDn8iOy9PLly/DP8vPD29QKBT54Q3hn+W/fPkSouYjxBwyT4AcSgsx59BXsuNS1dDQwI8dGhoauMy5HjLrq9in3RhPsLmSXpA2uIiYQ+YJkMNRyKGX8JXswj/Lzw+3DVl+eH74Z/lunVH5X62AOfNdA7y4TzGHzBMgh35owCzJoQ9lNzAwkJ/fwA8f8vMbBgYGJBoyHx3dfrfWp+7Jlh0i5pB5AuTQ+riQQ0/woey4E2lzc3P4Z/nNzc3cw2mEzObnyz+cbL0rr7XZwOZ36XCNK0ef7Fj2u3X4Eoevmuy7s0HMIfMEyKHDnUAOp4HPZedw2Y32OfrJOvzdeLLg5HB8pKZcM42DOs+NW4g5ZJ4AObReAzn0BH+8QcEFaxoTw6OTh2yyNc4D5Py853CNKw1w5VizOWSeADl0vQGQQ+f4SnbWb/nzX/m3/Hmmbp9XQ+b6UaY8JTrPiis7dN4kdxFzyDwBcuh8AXLoOj6RHQcXI4cXc2q12tTU1ClDZn8CnGwlv975lvZnOedriIlYH8X5np0ca8pmTw8xh8wTIIejkEMv4UPZjY7lzPr8yS10dXUtWrSoq6vLxfPqDMArSXKCmEPmCZBD7zKbc+hb2dnDnUsXjeHKeXUGMNnp1IuIOWSeADn0IrM8hwLITqvVhoeHL1q0KDw8fPacUX2NmEPmCZBDaSHmHAomu5qaGgiZFxFzyDwBcigtxJxDYWTn7nthwJSIOWSeADmUFmLO4aSyS0qMMZlM/mwK4AliDpknQA6lhZhzOKns0lKTVf19/mwKMG0wQglbI0QbMk+AHEoIkedwUtkVFpxqbHztz6YA06a7W5l2MFm0IfMEyKGEEHkOJ5Vd3ZOaG8WX/NkUYNo8rLp36WKBaEPmCZBDCSHyHE4qO5I0pqUm67Qaf7YGmAYYoQMpO16+fCHakHkC5FAqiD+Hzi4vbG56l5+X6bemANPjRvGlklvXWyYidKO8CeRQEog/h1NcS1105Vx9fZ1/mgJMA7m8JePYAZuEyeVyodvlZSCHIkcSOZxCdiRpzDye+rDqnn9aA7hFfX3dodRdNgOHlpaW/v5+oZvmZSCHYkYqOZz6U3IYofK7tzKPp3Z3K/3QIMAVhoeH8vMyz+RnvX37j03CPn36JHTrfALkUIRIK4eufiS4o11x7Mi+lH2JpSXXKmVlUEJV+d1bx47s27t7W9UDWYsjfBoXwYEciqSkmEP37n8wPDx069a1K5cLoYSqoqsXnjypdRgvcSbMF0AOBS8p5nCaN3uZ7JsEhEJsk8H+QeifOmCLmHM4/TtbKZVKoX+wQEtLS0tra2tvb68XMyEtIIciQfw59O1tSwEAAEQCyA4AgFkByA4AgFkByA4AgFkByA4AgFkByA4AgFkByA4AgFkByA4AgFnB/wchJSxKV82d9gAAAABJRU5ErkJggg==" alt="" />

模版模式实现说明

OrderGenerator:模版模式基类,实现了某种业务的完整流程,其中一些核心方法已经实现,一些个性化方法被声明为抽象方法,让子类去实现。
B2COrderGenerator:B2C业务中去实现抽象方法
C2COrderGenerator:C2C业务中去实现抽象方法

模版模式的C#实现

 /// <summary>
/// 模版核心类
/// </summary>
abstract class OrderGenerator
{
/// <summary>
/// 核心处理流程
/// </summary>
public void Excute()
{
InsertData();
ProcessException();
InsertLog();
}
void InsertData()
{
Console.WriteLine("写数据对外面隐藏");
}
void InsertLog()
{
Console.WriteLine("写日志对外面隐藏");
}
/// <summary>
/// 异常处理逻辑,对外面开放,可以自己建立自己的异常规范
/// </summary>
protected abstract void ProcessException();
} /// <summary>
/// b2c项目业务处理方法
/// </summary>
class B2COrderGenerator : OrderGenerator
{
protected override void ProcessException()
{
Console.WriteLine("b2c项目中订单的异常处理方式");
}
}
/// <summary>
/// c2c项目业务处理方法
/// </summary>
class C2COrderGenerator : OrderGenerator
{
protected override void ProcessException()
{
Console.WriteLine("c2c项目中订单的异常处理方法");
}
}

调用方法

       #region 模版方法调用
OrderGenerator orderGenerator = new B2COrderGenerator();
orderGenerator.Excute();
#endregion

程序截图

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