使用 ASP.NET Core 构建 ASP.NET Web API
已发表: 2022-03-11介绍
几年前,我得到了“Pro ASP.NET Web API”一书。 这篇文章是本书的一些想法、一点 CQRS 和我自己开发客户端-服务器系统的经验的分支。
在本文中,我将介绍:
- 如何使用 .NET Core、EF Core、AutoMapper 和 XUnit 从头开始创建 REST API
- 如何确保 API 在更改后正常工作
- 如何尽可能简化 REST API 系统的开发和支持
为什么选择 ASP.NET Core?
ASP.NET Core 提供了对 ASP.NET MVC/Web API 的许多改进。 首先,它现在是一个框架,而不是两个。 我真的很喜欢它,因为它很方便并且没有那么混乱。 其次,我们有日志和 DI 容器,没有任何额外的库,这节省了我的时间,让我可以专注于编写更好的代码,而不是选择和分析最好的库。
什么是查询处理器?
当与系统的一个实体相关的所有业务逻辑都封装在一个服务中并且对该实体的任何访问或操作都通过该服务执行时,查询处理器是一种方法。 此服务通常称为 {EntityPluralName}QueryProcessor。 如有必要,查询处理器包括该实体的 CRUD(创建、读取、更新、删除)方法。 根据要求,并非所有方法都可以实现。 举个具体的例子,我们来看一下ChangePassword。 如果查询处理器的方法需要输入数据,则只应提供所需的数据。 通常,对于每个方法,都会创建一个单独的查询类,在简单的情况下,可以(但不希望)重用查询类。
我们的目标
在本文中,我将向您展示如何为小型成本管理系统制作 API,包括身份验证和访问控制的基本设置,但我不会深入介绍身份验证子系统。 我将通过模块化测试涵盖系统的整个业务逻辑,并在一个实体的示例上为每个 API 方法创建至少一个集成测试。
对开发系统的要求: 用户可以添加、编辑、删除自己的费用,并且只能看到自己的费用。
该系统的完整代码可在 Github 上获得。
所以,让我们开始设计我们的小但非常有用的系统。
API 层
该图显示该系统将有四个层次:
- 数据库 - 我们在这里存储数据,仅此而已,没有逻辑。
- DAL - 为了访问数据,我们使用工作单元模式,在实现中,我们使用 ORM EF Core 和代码优先和迁移模式。
- 业务逻辑——封装业务逻辑,我们使用查询处理器,只有这一层处理业务逻辑。 例外是最简单的验证,例如必填字段,它将通过 API 中的过滤器执行。
- REST API - 客户端可以通过其使用我们的 API 的实际接口将通过 ASP.NET Core 实现。 路由配置由属性决定。
除了描述的层之外,我们还有几个重要的概念。 首先是数据模型的分离。 客户端数据模型主要用在 REST API 层。 它将查询转换为域模型,反之亦然,从域模型到客户端数据模型,但查询模型也可以在查询处理器中使用。 转换是使用 AutoMapper 完成的。
项目结构
我使用 VS 2017 Professional 创建项目。 我通常在不同的文件夹中共享源代码和测试。 很舒服,看起来不错,CI中的测试运行方便,而且微软似乎建议这样做:
项目介绍:
项目 | 描述 |
---|---|
花费 | 控制器项目,域模型和 API 模型之间的映射,API 配置 |
费用.Api.Common | 此时,有收集到的异常类,通过过滤器以某种方式解释,向用户返回正确的带有错误的 HTTP 代码 |
费用.Api.Models | API 模型项目 |
费用.数据.访问 | 工作单元模式的接口和实现项目 |
费用.数据.模型 | 领域模型项目 |
费用.查询 | 查询处理器和查询特定类的项目 |
费用.安全 | 当前用户的安全上下文的接口和实现的项目 |
项目之间的参考:
从模板创建的费用:
src文件夹中的其他项目按模板:
测试文件夹中的所有项目按模板:
执行
本文不会描述与 UI 相关的部分,尽管它已实现。
第一步是开发一个位于程序集Expenses.Data.Model
中的数据模型:
Expense
类包含以下属性:
public class Expense { public int Id { get; set; } public DateTime Date { get; set; } public string Description { get; set; } public decimal Amount { get; set; } public string Comment { get; set; } public int UserId { get; set; } public virtual User User { get; set; } public bool IsDeleted { get; set; } }
此类通过IsDeleted
属性支持“软删除”,并包含特定用户的一笔费用的所有数据,这些数据将来对我们有用。
User
、 Role
和UserRole
类是指访问子系统; 该系统不伪装为年度系统,对该子系统的描述不是本文的目的; 因此,将省略数据模型和一些实现细节。 在不改变业务逻辑的情况下,可以用更完善的访问组织系统来代替。
接下来,在Expenses.Data.Access
程序集中实现工作单元模板,该项目的结构如下所示:
组装需要以下库:
-
Microsoft.EntityFrameworkCore.SqlServer
有必要实现一个EF
上下文,它将自动在特定文件夹中查找映射:
public class MainDbContext : DbContext { public MainDbContext(DbContextOptions<MainDbContext> options) : base(options) { } protected override void OnModelCreating(ModelBuilder modelBuilder) { var mappings = MappingsHelper.GetMainMappings(); foreach (var mapping in mappings) { mapping.Visit(modelBuilder); } } }
映射是通过MappingsHelper
类完成的:
public static class MappingsHelper { public static IEnumerable<IMap> GetMainMappings() { var assemblyTypes = typeof(UserMap).GetTypeInfo().Assembly.DefinedTypes; var mappings = assemblyTypes // ReSharper disable once AssignNullToNotNullAttribute .Where(t => t.Namespace != null && t.Namespace.Contains(typeof(UserMap).Namespace)) .Where(t => typeof(IMap).GetTypeInfo().IsAssignableFrom(t)); mappings = mappings.Where(x => !x.IsAbstract); return mappings.Select(m => (IMap) Activator.CreateInstance(m.AsType())).ToArray(); } }
到类的映射位于Maps
文件夹中,并映射为Expenses
:
public class ExpenseMap : IMap { public void Visit(ModelBuilder builder) { builder.Entity<Expense>() .ToTable("Expenses") .HasKey(x => x.Id); } }
接口IUnitOfWork
:
public interface IUnitOfWork : IDisposable { ITransaction BeginTransaction(IsolationLevel isolationLevel = IsolationLevel.Snapshot); void Add<T>(T obj) where T: class ; void Update<T>(T obj) where T : class; void Remove<T>(T obj) where T : class; IQueryable<T> Query<T>() where T : class; void Commit(); Task CommitAsync(); void Attach<T>(T obj) where T : class; }
它的实现是EF DbContext
的包装器:
public class EFUnitOfWork : IUnitOfWork { private DbContext _context; public EFUnitOfWork(DbContext context) { _context = context; } public DbContext Context => _context; public ITransaction BeginTransaction(IsolationLevel isolationLevel = IsolationLevel.Snapshot) { return new DbTransaction(_context.Database.BeginTransaction(isolationLevel)); } public void Add<T>(T obj) where T : class { var set = _context.Set<T>(); set.Add(obj); } public void Update<T>(T obj) where T : class { var set = _context.Set<T>(); set.Attach(obj); _context.Entry(obj).State = EntityState.Modified; } void IUnitOfWork.Remove<T>(T obj) { var set = _context.Set<T>(); set.Remove(obj); } public IQueryable<T> Query<T>() where T : class { return _context.Set<T>(); } public void Commit() { _context.SaveChanges(); } public async Task CommitAsync() { await _context.SaveChangesAsync(); } public void Attach<T>(T newUser) where T : class { var set = _context.Set<T>(); set.Attach(newUser); } public void Dispose() { _context = null; } }
此应用程序中实现的接口ITransaction
将不会被使用:
public interface ITransaction : IDisposable { void Commit(); void Rollback(); }
它的实现只是简单地包装了EF
事务:
public class DbTransaction : ITransaction { private readonly IDbContextTransaction _efTransaction; public DbTransaction(IDbContextTransaction efTransaction) { _efTransaction = efTransaction; } public void Commit() { _efTransaction.Commit(); } public void Rollback() { _efTransaction.Rollback(); } public void Dispose() { _efTransaction.Dispose(); } }
同样在这个阶段,对于单元测试,需要ISecurityContext
接口,它定义了 API 的当前用户(项目是Expenses.Security
):
public interface ISecurityContext { User User { get; } bool IsAdministrator { get; } }
接下来,您需要定义查询处理器的接口和实现,其中将包含处理成本的所有业务逻辑——在我们的例子中是IExpensesQueryProcessor
和ExpensesQueryProcessor
:
public interface IExpensesQueryProcessor { IQueryable<Expense> Get(); Expense Get(int id); Task<Expense> Create(CreateExpenseModel model); Task<Expense> Update(int id, UpdateExpenseModel model); Task Delete(int id); } public class ExpensesQueryProcessor : IExpensesQueryProcessor { public IQueryable<Expense> Get() { throw new NotImplementedException(); } public Expense Get(int id) { throw new NotImplementedException(); } public Task<Expense> Create(CreateExpenseModel model) { throw new NotImplementedException(); } public Task<Expense> Update(int id, UpdateExpenseModel model) { throw new NotImplementedException(); } public Task Delete(int id) { throw new NotImplementedException(); } }
下一步是配置Expenses.Queries.Tests
程序集。 我安装了以下库:
- 起订量
- 流利的断言
然后在Expenses.Queries.Tests
程序集中,我们定义单元测试的夹具并描述我们的单元测试:
public class ExpensesQueryProcessorTests { private Mock<IUnitOfWork> _uow; private List<Expense> _expenseList; private IExpensesQueryProcessor _query; private Random _random; private User _currentUser; private Mock<ISecurityContext> _securityContext; public ExpensesQueryProcessorTests() { _random = new Random(); _uow = new Mock<IUnitOfWork>(); _expenseList = new List<Expense>(); _uow.Setup(x => x.Query<Expense>()).Returns(() => _expenseList.AsQueryable()); _currentUser = new User{Id = _random.Next()}; _securityContext = new Mock<ISecurityContext>(MockBehavior.Strict); _securityContext.Setup(x => x.User).Returns(_currentUser); _securityContext.Setup(x => x.IsAdministrator).Returns(false); _query = new ExpensesQueryProcessor(_uow.Object, _securityContext.Object); } [Fact] public void GetShouldReturnAll() { _expenseList.Add(new Expense{UserId = _currentUser.Id}); var result = _query.Get().ToList(); result.Count.Should().Be(1); } [Fact] public void GetShouldReturnOnlyUserExpenses() { _expenseList.Add(new Expense { UserId = _random.Next() }); _expenseList.Add(new Expense { UserId = _currentUser.Id }); var result = _query.Get().ToList(); result.Count().Should().Be(1); result[0].UserId.Should().Be(_currentUser.Id); } [Fact] public void GetShouldReturnAllExpensesForAdministrator() { _securityContext.Setup(x => x.IsAdministrator).Returns(true); _expenseList.Add(new Expense { UserId = _random.Next() }); _expenseList.Add(new Expense { UserId = _currentUser.Id }); var result = _query.Get(); result.Count().Should().Be(2); } [Fact] public void GetShouldReturnAllExceptDeleted() { _expenseList.Add(new Expense { UserId = _currentUser.Id }); _expenseList.Add(new Expense { UserId = _currentUser.Id, IsDeleted = true}); var result = _query.Get(); result.Count().Should().Be(1); } [Fact] public void GetShouldReturnById() { var expense = new Expense { Id = _random.Next(), UserId = _currentUser.Id }; _expenseList.Add(expense); var result = _query.Get(expense.Id); result.Should().Be(expense); } [Fact] public void GetShouldThrowExceptionIfExpenseOfOtherUser() { var expense = new Expense { Id = _random.Next(), UserId = _random.Next() }; _expenseList.Add(expense); Action get = () => { _query.Get(expense.Id); }; get.ShouldThrow<NotFoundException>(); } [Fact] public void GetShouldThrowExceptionIfItemIsNotFoundById() { var expense = new Expense { Id = _random.Next(), UserId = _currentUser.Id }; _expenseList.Add(expense); Action get = () => { _query.Get(_random.Next()); }; get.ShouldThrow<NotFoundException>(); } [Fact] public void GetShouldThrowExceptionIfUserIsDeleted() { var expense = new Expense { Id = _random.Next(), UserId = _currentUser.Id, IsDeleted = true}; _expenseList.Add(expense); Action get = () => { _query.Get(expense.Id); }; get.ShouldThrow<NotFoundException>(); } [Fact] public async Task CreateShouldSaveNew() { var model = new CreateExpenseModel { Description = _random.Next().ToString(), Amount = _random.Next(), Comment = _random.Next().ToString(), Date = DateTime.Now }; var result = await _query.Create(model); result.Description.Should().Be(model.Description); result.Amount.Should().Be(model.Amount); result.Comment.Should().Be(model.Comment); result.Date.Should().BeCloseTo(model.Date); result.UserId.Should().Be(_currentUser.Id); _uow.Verify(x => x.Add(result)); _uow.Verify(x => x.CommitAsync()); } [Fact] public async Task UpdateShouldUpdateFields() { var user = new Expense {Id = _random.Next(), UserId = _currentUser.Id}; _expenseList.Add(user); var model = new UpdateExpenseModel { Comment = _random.Next().ToString(), Description = _random.Next().ToString(), Amount = _random.Next(), Date = DateTime.Now }; var result = await _query.Update(user.Id, model); result.Should().Be(user); result.Description.Should().Be(model.Description); result.Amount.Should().Be(model.Amount); result.Comment.Should().Be(model.Comment); result.Date.Should().BeCloseTo(model.Date); _uow.Verify(x => x.CommitAsync()); } [Fact] public void UpdateShoudlThrowExceptionIfItemIsNotFound() { Action create = () => { var result = _query.Update(_random.Next(), new UpdateExpenseModel()).Result; }; create.ShouldThrow<NotFoundException>(); } [Fact] public async Task DeleteShouldMarkAsDeleted() { var user = new Expense() { Id = _random.Next(), UserId = _currentUser.Id}; _expenseList.Add(user); await _query.Delete(user.Id); user.IsDeleted.Should().BeTrue(); _uow.Verify(x => x.CommitAsync()); } [Fact] public async Task DeleteShoudlThrowExceptionIfItemIsNotBelongTheUser() { var expense = new Expense() { Id = _random.Next(), UserId = _random.Next() }; _expenseList.Add(expense); Action execute = () => { _query.Delete(expense.Id).Wait(); }; execute.ShouldThrow<NotFoundException>(); } [Fact] public void DeleteShoudlThrowExceptionIfItemIsNotFound() { Action execute = () => { _query.Delete(_random.Next()).Wait(); }; execute.ShouldThrow<NotFoundException>(); }
在描述了单元测试之后,描述了查询处理器的实现:
public class ExpensesQueryProcessor : IExpensesQueryProcessor { private readonly IUnitOfWork _uow; private readonly ISecurityContext _securityContext; public ExpensesQueryProcessor(IUnitOfWork uow, ISecurityContext securityContext) { _uow = uow; _securityContext = securityContext; } public IQueryable<Expense> Get() { var query = GetQuery(); return query; } private IQueryable<Expense> GetQuery() { var q = _uow.Query<Expense>() .Where(x => !x.IsDeleted); if (!_securityContext.IsAdministrator) { var userId = _securityContext.User.Id; q = q.Where(x => x.UserId == userId); } return q; } public Expense Get(int id) { var user = GetQuery().FirstOrDefault(x => x.Id == id); if (user == null) { throw new NotFoundException("Expense is not found"); } return user; } public async Task<Expense> Create(CreateExpenseModel model) { var item = new Expense { UserId = _securityContext.User.Id, Amount = model.Amount, Comment = model.Comment, Date = model.Date, Description = model.Description, }; _uow.Add(item); await _uow.CommitAsync(); return item; } public async Task<Expense> Update(int id, UpdateExpenseModel model) { var expense = GetQuery().FirstOrDefault(x => x.Id == id); if (expense == null) { throw new NotFoundException("Expense is not found"); } expense.Amount = model.Amount; expense.Comment = model.Comment; expense.Description = model.Description; expense.Date = model.Date; await _uow.CommitAsync(); return expense; } public async Task Delete(int id) { var user = GetQuery().FirstOrDefault(u => u.Id == id); if (user == null) { throw new NotFoundException("Expense is not found"); } if (user.IsDeleted) return; user.IsDeleted = true; await _uow.CommitAsync(); } }
一旦业务逻辑准备就绪,我就开始编写 API 集成测试以确定 API 契约。
第一步是准备一个项目Expenses.Api.IntegrationTests
- 安装 nuget 包:
- 流利的断言
- 起订量
- Microsoft.AspNetCore.TestHost
- 设置项目结构
- 创建一个 CollectionDefinition ,借助它我们确定将在每次测试运行开始时创建并在每次测试运行结束时销毁的资源。
[CollectionDefinition("ApiCollection")] public class DbCollection : ICollectionFixture<ApiServer> { } ~~~ And define our test server and the client to it with the already authenticated user by default:
公共类 ApiServer : IDisposable { public const string Username = “admin”; 公共常量字符串密码=“管理员”;
private IConfigurationRoot _config; public ApiServer() { _config = new ConfigurationBuilder() .SetBasePath(Directory.GetCurrentDirectory()) .AddJsonFile("appsettings.json") .Build(); Server = new TestServer(new WebHostBuilder().UseStartup<Startup>()); Client = GetAuthenticatedClient(Username, Password); } public HttpClient GetAuthenticatedClient(string username, string password) { var client = Server.CreateClient(); var response = client.PostAsync("/api/Login/Authenticate", new JsonContent(new LoginModel {Password = password, Username = username})).Result; response.EnsureSuccessStatusCode(); var data = JsonConvert.DeserializeObject<UserWithTokenModel>(response.Content.ReadAsStringAsync().Result); client.DefaultRequestHeaders.Add("Authorization", "Bearer " + data.Token); return client; } public HttpClient Client { get; private set; } public TestServer Server { get; private set; } public void Dispose() { if (Client != null) { Client.Dispose(); Client = null; } if (Server != null) { Server.Dispose(); Server = null; } } } ~~~
为了方便在集成测试中处理HTTP
请求,我编写了一个帮助程序:
public class HttpClientWrapper { private readonly HttpClient _client; public HttpClientWrapper(HttpClient client) { _client = client; } public HttpClient Client => _client; public async Task<T> PostAsync<T>(string url, object body) { var response = await _client.PostAsync(url, new JsonContent(body)); response.EnsureSuccessStatusCode(); var respnoseText = await response.Content.ReadAsStringAsync(); var data = JsonConvert.DeserializeObject<T>(respnoseText); return data; } public async Task PostAsync(string url, object body) { var response = await _client.PostAsync(url, new JsonContent(body)); response.EnsureSuccessStatusCode(); } public async Task<T> PutAsync<T>(string url, object body) { var response = await _client.PutAsync(url, new JsonContent(body)); response.EnsureSuccessStatusCode(); var respnoseText = await response.Content.ReadAsStringAsync(); var data = JsonConvert.DeserializeObject<T>(respnoseText); return data; } }
在这个阶段,我需要为每个实体定义一个 REST API 合约,我会为 REST API 费用编写它:
网址 | 方法 | 体型 | 结果类型 | 描述 |
---|---|---|---|---|
费用 | 得到 | - | 数据结果<ExpenseModel> | 在查询参数“命令”中获取所有可能使用过滤器和排序器的费用 |
费用/{id} | 得到 | - | 费用模型 | 通过 id 获取费用 |
花费 | 邮政 | 创建费用模型 | 费用模型 | 创建新的费用记录 |
费用/{id} | 放 | 更新费用模型 | 费用模型 | 更新现有费用 |
当您请求成本列表时,您可以使用 AutoQueryable 库应用各种过滤和排序命令。 带有过滤和排序的示例查询:
/expenses?commands=take=25%26amount%3E=12%26orderbydesc=date
解码命令参数值为take=25&amount>=12&orderbydesc=date
。 因此我们可以在查询中找到分页、过滤和排序部分。 所有查询选项都与 OData 语法非常相似,但不幸的是,OData 还没有为 .NET Core 做好准备,所以我正在使用另一个有用的库。
底部显示了此 API 中使用的所有模型:
public class DataResult<T> { public T[] Data { get; set; } public int Total { get; set; } } public class ExpenseModel { public int Id { get; set; } public DateTime Date { get; set; } public string Description { get; set; } public decimal Amount { get; set; } public string Comment { get; set; } public int UserId { get; set; } public string Username { get; set; } } public class CreateExpenseModel { [Required] public DateTime Date { get; set; } [Required] public string Description { get; set; } [Required] [Range(0.01, int.MaxValue)] public decimal Amount { get; set; } [Required] public string Comment { get; set; } } public class UpdateExpenseModel { [Required] public DateTime Date { get; set; } [Required] public string Description { get; set; } [Required] [Range(0.01, int.MaxValue)] public decimal Amount { get; set; } [Required] public string Comment { get; set; } }
模型CreateExpenseModel
和UpdateExpenseModel
使用数据注释属性通过属性在 REST API 级别执行简单检查。

接下来,对于每个HTTP
方法,在项目中创建一个单独的文件夹,其中的文件由夹具为资源支持的每个HTTP
方法创建:
实现获取费用列表的集成测试:
[Collection("ApiCollection")] public class GetListShould { private readonly ApiServer _server; private readonly HttpClient _client; public GetListShould(ApiServer server) { _server = server; _client = server.Client; } public static async Task<DataResult<ExpenseModel>> Get(HttpClient client) { var response = await client.GetAsync($"api/Expenses"); response.EnsureSuccessStatusCode(); var responseText = await response.Content.ReadAsStringAsync(); var items = JsonConvert.DeserializeObject<DataResult<ExpenseModel>>(responseText); return items; } [Fact] public async Task ReturnAnyList() { var items = await Get(_client); items.Should().NotBeNull(); } }
通过id获取费用数据的集成测试实现:
[Collection("ApiCollection")] public class GetItemShould { private readonly ApiServer _server; private readonly HttpClient _client; private Random _random; public GetItemShould(ApiServer server) { _server = server; _client = _server.Client; _random = new Random(); } [Fact] public async Task ReturnItemById() { var item = await new PostShould(_server).CreateNew(); var result = await GetById(_client, item.Id); result.Should().NotBeNull(); } public static async Task<ExpenseModel> GetById(HttpClient client, int id) { var response = await client.GetAsync(new Uri($"api/Expenses/{id}", UriKind.Relative)); response.EnsureSuccessStatusCode(); var result = await response.Content.ReadAsStringAsync(); return JsonConvert.DeserializeObject<ExpenseModel>(result); } [Fact] public async Task ShouldReturn404StatusIfNotFound() { var response = await _client.GetAsync(new Uri($"api/Expenses/-1", UriKind.Relative)); response.StatusCode.ShouldBeEquivalentTo(HttpStatusCode.NotFound); } }
实施用于创建费用的集成测试:
[Collection("ApiCollection")] public class PostShould { private readonly ApiServer _server; private readonly HttpClientWrapper _client; private Random _random; public PostShould(ApiServer server) { _server = server; _client = new HttpClientWrapper(_server.Client); _random = new Random(); } [Fact] public async Task<ExpenseModel> CreateNew() { var requestItem = new CreateExpenseModel() { Amount = _random.Next(), Comment = _random.Next().ToString(), Date = DateTime.Now.AddMinutes(-15), Description = _random.Next().ToString() }; var createdItem = await _client.PostAsync<ExpenseModel>("api/Expenses", requestItem); createdItem.Id.Should().BeGreaterThan(0); createdItem.Amount.Should().Be(requestItem.Amount); createdItem.Comment.Should().Be(requestItem.Comment); createdItem.Date.Should().Be(requestItem.Date); createdItem.Description.Should().Be(requestItem.Description); createdItem.Username.Should().Be("admin admin"); return createdItem; } }
更改费用的集成测试的实施:
[Collection("ApiCollection")] public class PutShould { private readonly ApiServer _server; private readonly HttpClientWrapper _client; private readonly Random _random; public PutShould(ApiServer server) { _server = server; _client = new HttpClientWrapper(_server.Client); _random = new Random(); } [Fact] public async Task UpdateExistingItem() { var item = await new PostShould(_server).CreateNew(); var requestItem = new UpdateExpenseModel { Date = DateTime.Now, Description = _random.Next().ToString(), Amount = _random.Next(), Comment = _random.Next().ToString() }; await _client.PutAsync<ExpenseModel>($"api/Expenses/{item.Id}", requestItem); var updatedItem = await GetItemShould.GetById(_client.Client, item.Id); updatedItem.Date.Should().Be(requestItem.Date); updatedItem.Description.Should().Be(requestItem.Description); updatedItem.Amount.Should().Be(requestItem.Amount); updatedItem.Comment.Should().Contain(requestItem.Comment); } }
实施用于去除费用的集成测试:
[Collection("ApiCollection")] public class DeleteShould { private readonly ApiServer _server; private readonly HttpClient _client; public DeleteShould(ApiServer server) { _server = server; _client = server.Client; } [Fact] public async Task DeleteExistingItem() { var item = await new PostShould(_server).CreateNew(); var response = await _client.DeleteAsync(new Uri($"api/Expenses/{item.Id}", UriKind.Relative)); response.EnsureSuccessStatusCode(); } }
至此,我们已经完全定义了 REST API 契约,现在我可以开始在 ASP.NET Core 的基础上实现它了。
API 实现
准备项目费用。 为此,我需要安装以下库:
- 自动映射器
- AutoQueryable.AspNetCore.Filter
- Microsoft.ApplicationInsights.AspNetCore
- Microsoft.EntityFrameworkCore.SqlServer
- Microsoft.EntityFrameworkCore.SqlServer.Design
- Microsoft.EntityFrameworkCore.Tools
- Swashbuckle.AspNetCore
之后,您需要通过打开包管理器控制台开始为数据库创建初始迁移,切换到Expenses.Data.Access
项目(因为EF
上下文位于那里)并运行Add-Migration InitialCreate
命令:
在下一步中,提前准备配置文件 appsettings.json,准备好之后仍然需要将其复制到项目Expenses.Api.IntegrationTests
中,因为从那里,我们将运行测试实例 API。
{ "Logging": { "IncludeScopes": false, "LogLevel": { "Default": "Debug", "System": "Information", "Microsoft": "Information" } }, "Data": { "main": "Data Source=.; Initial Catalog=expenses.main; Integrated Security=true; Max Pool Size=1000; Min Pool Size=12; Pooling=True;" }, "ApplicationInsights": { "InstrumentationKey": "Your ApplicationInsights key" } }
日志记录部分是自动创建的。 我添加了Data
部分以将连接字符串存储到数据库和我的ApplicationInsights
密钥。
应用程序配置
您必须配置我们应用程序中可用的不同服务:
开启ApplicationInsights
: services.AddApplicationInsightsTelemetry(Configuration);
通过调用注册您的服务: ContainerSetup.Setup(services, Configuration);
ContainerSetup
是一个创建的类,因此我们不必在Startup
类中存储所有服务注册。 该类位于 Expenses 项目的 IoC 文件夹中:
public static class ContainerSetup { public static void Setup(IServiceCollection services, IConfigurationRoot configuration) { AddUow(services, configuration); AddQueries(services); ConfigureAutoMapper(services); ConfigureAuth(services); } private static void ConfigureAuth(IServiceCollection services) { services.AddSingleton<IHttpContextAccessor, HttpContextAccessor>(); services.AddScoped<ITokenBuilder, TokenBuilder>(); services.AddScoped<ISecurityContext, SecurityContext>(); } private static void ConfigureAutoMapper(IServiceCollection services) { var mapperConfig = AutoMapperConfigurator.Configure(); var mapper = mapperConfig.CreateMapper(); services.AddSingleton(x => mapper); services.AddTransient<IAutoMapper, AutoMapperAdapter>(); } private static void AddUow(IServiceCollection services, IConfigurationRoot configuration) { var connectionString = configuration["Data:main"]; services.AddEntityFrameworkSqlServer(); services.AddDbContext<MainDbContext>(options => options.UseSqlServer(connectionString)); services.AddScoped<IUnitOfWork>(ctx => new EFUnitOfWork(ctx.GetRequiredService<MainDbContext>())); services.AddScoped<IActionTransactionHelper, ActionTransactionHelper>(); services.AddScoped<UnitOfWorkFilterAttribute>(); } private static void AddQueries(IServiceCollection services) { var exampleProcessorType = typeof(UsersQueryProcessor); var types = (from t in exampleProcessorType.GetTypeInfo().Assembly.GetTypes() where t.Namespace == exampleProcessorType.Namespace && t.GetTypeInfo().IsClass && t.GetTypeInfo().GetCustomAttribute<CompilerGeneratedAttribute>() == null select t).ToArray(); foreach (var type in types) { var interfaceQ = type.GetTypeInfo().GetInterfaces().First(); services.AddScoped(interfaceQ, type); } } }
这个类中的几乎所有代码都是不言自明的,但我想进一步介绍一下ConfigureAutoMapper
方法。
private static void ConfigureAutoMapper(IServiceCollection services) { var mapperConfig = AutoMapperConfigurator.Configure(); var mapper = mapperConfig.CreateMapper(); services.AddSingleton(x => mapper); services.AddTransient<IAutoMapper, AutoMapperAdapter>(); }
此方法使用辅助类查找模型和实体之间的所有映射,反之亦然,并获取IMapper
接口来创建将在控制器中使用的IAutoMapper
包装器。 这个包装器没有什么特别之处——它只是为AutoMapper
方法提供了一个方便的接口。
public class AutoMapperAdapter : IAutoMapper { private readonly IMapper _mapper; public AutoMapperAdapter(IMapper mapper) { _mapper = mapper; } public IConfigurationProvider Configuration => _mapper.ConfigurationProvider; public T Map<T>(object objectToMap) { return _mapper.Map<T>(objectToMap); } public TResult[] Map<TSource, TResult>(IEnumerable<TSource> sourceQuery) { return sourceQuery.Select(x => _mapper.Map<TResult>(x)).ToArray(); } public IQueryable<TResult> Map<TSource, TResult>(IQueryable<TSource> sourceQuery) { return sourceQuery.ProjectTo<TResult>(_mapper.ConfigurationProvider); } public void Map<TSource, TDestination>(TSource source, TDestination destination) { _mapper.Map(source, destination); } }
要配置 AutoMapper,需要使用辅助类,其任务是搜索特定命名空间类的映射。 所有映射都位于文件夹费用/地图中:
public static class AutoMapperConfigurator { private static readonly object Lock = new object(); private static MapperConfiguration _configuration; public static MapperConfiguration Configure() { lock (Lock) { if (_configuration != null) return _configuration; var thisType = typeof(AutoMapperConfigurator); var configInterfaceType = typeof(IAutoMapperTypeConfigurator); var configurators = thisType.GetTypeInfo().Assembly.GetTypes() .Where(x => !string.IsNullOrWhiteSpace(x.Namespace)) // ReSharper disable once AssignNullToNotNullAttribute .Where(x => x.Namespace.Contains(thisType.Namespace)) .Where(x => x.GetTypeInfo().GetInterface(configInterfaceType.Name) != null) .Select(x => (IAutoMapperTypeConfigurator)Activator.CreateInstance(x)) .ToArray(); void AggregatedConfigurator(IMapperConfigurationExpression config) { foreach (var configurator in configurators) { configurator.Configure(config); } } _configuration = new MapperConfiguration(AggregatedConfigurator); return _configuration; } } }
All mappings must implement a specific interface:
public interface IAutoMapperTypeConfigurator { void Configure(IMapperConfigurationExpression configuration); }
An example of mapping from entity to model:
public class ExpenseMap : IAutoMapperTypeConfigurator { public void Configure(IMapperConfigurationExpression configuration) { var map = configuration.CreateMap<Expense, ExpenseModel>(); map.ForMember(x => x.Username, x => x.MapFrom(y => y.User.FirstName + " " + y.User.LastName)); } }
Also, in the Startup.ConfigureServices
method, authentication through JWT Bearer tokens is configured:
services.AddAuthorization(auth => { auth.AddPolicy("Bearer", new AuthorizationPolicyBuilder() .AddAuthenticationSchemes(JwtBearerDefaults.AuthenticationScheme) .RequireAuthenticatedUser().Build()); });
And the services registered the implementation of ISecurityContext
, which will actually be used to determine the current user:
public class SecurityContext : ISecurityContext { private readonly IHttpContextAccessor _contextAccessor; private readonly IUnitOfWork _uow; private User _user; public SecurityContext(IHttpContextAccessor contextAccessor, IUnitOfWork uow) { _contextAccessor = contextAccessor; _uow = uow; } public User User { get { if (_user != null) return _user; var username = _contextAccessor.HttpContext.User.Identity.Name; _user = _uow.Query<User>() .Where(x => x.Username == username) .Include(x => x.Roles) .ThenInclude(x => x.Role) .FirstOrDefault(); if (_user == null) { throw new UnauthorizedAccessException("User is not found"); } return _user; } } public bool IsAdministrator { get { return User.Roles.Any(x => x.Role.Name == Roles.Administrator); } } }
Also, we changed the default MVC registration a little in order to use a custom error filter to convert exceptions to the right error codes:
services.AddMvc(options => { options.Filters.Add(new ApiExceptionFilter()); });
Implementing the ApiExceptionFilter
filter:
public class ApiExceptionFilter : ExceptionFilterAttribute { public override void OnException(ExceptionContext context) { if (context.Exception is NotFoundException) { // handle explicit 'known' API errors var ex = context.Exception as NotFoundException; context.Exception = null; context.Result = new JsonResult(ex.Message); context.HttpContext.Response.StatusCode = (int)HttpStatusCode.NotFound; } else if (context.Exception is BadRequestException) { // handle explicit 'known' API errors var ex = context.Exception as BadRequestException; context.Exception = null; context.Result = new JsonResult(ex.Message); context.HttpContext.Response.StatusCode = (int)HttpStatusCode.BadRequest; } else if (context.Exception is UnauthorizedAccessException) { context.Result = new JsonResult(context.Exception.Message); context.HttpContext.Response.StatusCode = (int)HttpStatusCode.Unauthorized; } else if (context.Exception is ForbiddenException) { context.Result = new JsonResult(context.Exception.Message); context.HttpContext.Response.StatusCode = (int)HttpStatusCode.Forbidden; } base.OnException(context); } }
重要的是不要忘记Swagger
,以便为其他 ASP.net 开发人员获得出色的 API 描述:
services.AddSwaggerGen(c => { c.SwaggerDoc("v1", new Info {Title = "Expenses", Version = "v1"}); c.OperationFilter<AuthorizationHeaderParameterOperationFilter>(); });
Startup.Configure
方法添加了对InitDatabase
方法的调用,该方法会自动迁移数据库,直到最后一次迁移:
private void InitDatabase(IApplicationBuilder app) { using (var serviceScope = app.ApplicationServices.GetRequiredService<IServiceScopeFactory>().CreateScope()) { var context = serviceScope.ServiceProvider.GetService<MainDbContext>(); context.Database.Migrate(); } }
仅当应用程序在开发环境中运行并且不需要身份验证即可访问它时,才打开Swagger
:
app.UseSwagger(); app.UseSwaggerUI(c => { c.SwaggerEndpoint("/swagger/v1/swagger.json", "My API V1"); });
接下来,我们连接身份验证(可以在存储库中找到详细信息):
ConfigureAuthentication(app);
此时,您可以运行集成测试并确保所有内容都已编译但没有任何工作,然后转到控制器ExpensesController
。
注意:所有控制器都位于Expenses/Server文件夹中,并且有条件地分为两个文件夹:Controllers和RestApi。 在文件夹中,控制器是在旧的良好 MVC 中作为控制器工作的控制器——即,返回标记,在 RestApi 中,是 REST 控制器。
您必须创建 Expenses/Server/RestApi/ExpensesController 类并从 Controller 类继承它:
public class ExpensesController : Controller { }
接下来,通过使用属性[Route ("api / [controller]")]
标记类来配置~ / api / Expenses
类型的路由。
要访问业务逻辑和映射器,您需要注入以下服务:
private readonly IExpensesQueryProcessor _query; private readonly IAutoMapper _mapper; public ExpensesController(IExpensesQueryProcessor query, IAutoMapper mapper) { _query = query; _mapper = mapper; }
在这个阶段,您可以开始实现方法。 第一种方法是获取费用清单:
[HttpGet] [QueryaCollectionDefinitionbleResult] public IQueryable<ExpenseModel> Get() { var result = _query.Get(); var models = _mapper.Map<Expense, ExpenseModel>(result); return models; }
该方法的实现非常简单,我们从ExpensesQueryProcessor
获取映射到IQueryable <ExpenseModel>
中的数据库的查询,然后返回结果。
这里的自定义属性是QueryableResult
,它使用AutoQueryable
库来处理服务器端的分页、过滤和排序。 该属性位于文件夹Expenses/Filters
中。 因此,此过滤器将DataResult <ExpenseModel>
类型的数据返回给 API 客户端。
public class QueryableResult : ActionFilterAttribute { public override void OnActionExecuted(ActionExecutedContext context) { if (context.Exception != null) return; dynamic query = ((ObjectResult)context.Result).Value; if (query == null) throw new Exception("Unable to retreive value of IQueryable from context result."); Type entityType = query.GetType().GenericTypeArguments[0]; var commands = context.HttpContext.Request.Query.ContainsKey("commands") ? context.HttpContext.Request.Query["commands"] : new StringValues(); var data = QueryableHelper.GetAutoQuery(commands, entityType, query, new AutoQueryableProfile {UnselectableProperties = new string[0]}); var total = System.Linq.Queryable.Count(query); context.Result = new OkObjectResult(new DataResult{Data = data, Total = total}); } }
另外,让我们看看 Post 方法的实现,创建一个流程:
[HttpPost] [ValidateModel] public async Task<ExpenseModel> Post([FromBody]CreateExpenseModel requestModel) { var item = await _query.Create(requestModel); var model = _mapper.Map<ExpenseModel>(item); return model; }
在这里,您应该注意属性ValidateModel
,它根据数据注释属性对输入数据执行简单的验证,这是通过内置的 MVC 检查完成的。
public class ValidateModelAttribute : ActionFilterAttribute { public override void OnActionExecuting(ActionExecutingContext context) { if (!context.ModelState.IsValid) { context.Result = new BadRequestObjectResult(context.ModelState); } } }
ExpensesController
的完整代码:
[Route("api/[controller]")] public class ExpensesController : Controller { private readonly IExpensesQueryProcessor _query; private readonly IAutoMapper _mapper; public ExpensesController(IExpensesQueryProcessor query, IAutoMapper mapper) { _query = query; _mapper = mapper; } [HttpGet] [QueryableResult] public IQueryable<ExpenseModel> Get() { var result = _query.Get(); var models = _mapper.Map<Expense, ExpenseModel>(result); return models; } [HttpGet("{id}")] public ExpenseModel Get(int id) { var item = _query.Get(id); var model = _mapper.Map<ExpenseModel>(item); return model; } [HttpPost] [ValidateModel] public async Task<ExpenseModel> Post([FromBody]CreateExpenseModel requestModel) { var item = await _query.Create(requestModel); var model = _mapper.Map<ExpenseModel>(item); return model; } [HttpPut("{id}")] [ValidateModel] public async Task<ExpenseModel> Put(int id, [FromBody]UpdateExpenseModel requestModel) { var item = await _query.Update(id, requestModel); var model = _mapper.Map<ExpenseModel>(item); return model; } [HttpDelete("{id}")] public async Task Delete(int id) { await _query.Delete(id); } }
结论
我先从问题说起:主要问题是解决方案的初始配置和理解应用层的复杂度,但是随着应用程序复杂度的增加,系统的复杂度几乎没有变化,这是一个很大的问题再加上伴随这样的系统。 非常重要的是,我们有一个 API,它有一套集成测试和一套完整的业务逻辑单元测试。 业务逻辑与所使用的服务器技术完全分离,可以进行全面测试。 该解决方案非常适合具有复杂 API 和复杂业务逻辑的系统。
如果您希望构建一个使用您的 API 的 Angular 应用程序,请查看 Toptaler Pablo Albella 的Angular 5 和 ASP.NET Core 。