转载地址:http://www.newlifex.com/showtopic-1072.aspx
最近新项目要用Entity Framework 6.x,但是我发现从数据库生成模型时没有生成字段的注释,在网上好是一番查找,终于找到解决方案了。分享下: 第一步,让数据库注释映射到EDMX模型上 网上找到了EFTSQLDocumentation.Generator.exe的相关方法,但按照操作后,死活没有字段说明信息,多方查证,最终发现是xmlns的命名空间不对导致的,程序中给写死了,没法用。自己就修改了下,变成可视化直接操作的windows应用程序。代码也很简单。拿来直接用就行了。(看附件)
第二步,修改DBContext的Model的T4模版
首先为类添加注释: 找到这行代码WriteHeader(codeStringGenerator, fileManager);
首先为类添加注释: 找到这行代码WriteHeader(codeStringGenerator, fileManager);
在下面添加我们的代码:
string summary=string.Empty; foreach (var entity in typeMapper.GetItemsToGenerate<EntityType>(itemCollection)) { fileManager.StartNewFile(entity.Name + ".cs"); BeginNamespace(code); if(entity.Documentation!=null&&entity.Documentation.Summary!=null) summary=entity.Documentation.Summary; else summary=entity.Name; #> <#=codeStringGenerator.UsingDirectives(inHeader: false)#> /// <summary> /// <#=summary#> /// </summary>
再加上属性注释 找到这行代码 foreach (var edmProperty in simpleProperties)
在它下面加上我们的代码
foreach (var edmProperty in simpleProperties) { if(edmProperty.Documentation != null && edmProperty.Documentation.Summary != null) summary=edmProperty.Documentation.Summary; else summary=""; #> /// <summary> /// <#=summary#> /// </summary> <#=codeStringGenerator.Property(edmProperty)#>
保存t4模板就可以了。 最终结果如下:
![](data:image/png;base64,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)
参考资料:
参考资料:
http://www.th7.cn/Program/net/201307/144865.shtml
http://www.cnblogs.com/rober0371/p/3179769.html
事实上,这TT模版加注释的原理就是通过读EDMX文件(是个XML文件)的相关注释内容来为POCO实体类加注释的,如果EDMX里没有注释,这个数据库注释也无法加上来,相关数据库与EDMX注释同步文章,可以看这篇文章EF架构~将数据库注释添加导入到模型实体类中。