dotnet-backend-patterns
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- Token usage
- Heavy
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Network behavior
- External requests
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: dotnet-backend-patterns
description: Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterpris…
category: design
runtime: no special runtime
---
# dotnet-backend-patterns output preview
## PART A: Task fit
- Use case: Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “When to Use This Skill / Core Concepts / 1. Project Structure (Clean Architecture)” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.”.
- **02** When the source has headings, the agent prioritizes “When to Use This Skill / Core Concepts / 1. Project Structure (Clean Architecture)” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “When to Use This Skill / Core Concepts / 1. Project Structure (Clean Architecture)”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: dotnet-backend-patterns
description: Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterpris…
category: design
source: wshobson/agents
---
# dotnet-backend-patterns
## When to use
- Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “When to Use This Skill / Core Concepts / 1. Project Structure (Clean Architecture)” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "dotnet-backend-patterns" {
input -> user goal + target files + boundaries + acceptance criteria
context -> When to Use This Skill / Core Concepts / 1. Project Structure (Clean Architecture)
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, run shell commands | may access external network resources
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} .NET Backend Development Patterns
Master C#/.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025).
When to Use This Skill
- Developing new .NET Web APIs or MCP servers
- Reviewing C# code for quality and performance
- Designing service architectures with dependency injection
- Implementing caching strategies with Redis
- Writing unit and integration tests
- Optimizing database access with EF Core or Dapper
- Configuring applications with IOptions pattern
- Handling errors and implementing resilience patterns
Core Concepts
1. Project Structure (Clean Architecture)
src/
├── Domain/ # Core business logic (no dependencies)
│ ├── Entities/
│ ├── Interfaces/
│ ├── Exceptions/
│ └── ValueObjects/
├── Application/ # Use cases, DTOs, validation
│ ├── Services/
│ ├── DTOs/
│ ├── Validators/
│ └── Interfaces/
├── Infrastructure/ # External implementations
│ ├── Data/ # EF Core, Dapper repositories
│ ├── Caching/ # Redis, Memory cache
│ ├── External/ # HTTP clients, third-party APIs
│ └── DependencyInjection/ # Service registration
└── Api/ # Entry point
├── Controllers/ # Or MinimalAPI endpoints
├── Middleware/
├── Filters/
└── Program.cs
2. Dependency Injection Patterns
// Service registration by lifetime
public static class ServiceCollectionExtensions
{
public static IServiceCollection AddApplicationServices(
this IServiceCollection services,
IConfiguration configuration)
{
// Scoped: One instance per HTTP request
services.AddScoped<IProductService, ProductService>();
services.AddScoped<IOrderService, OrderService>();
// Singleton: One instance for app lifetime
services.AddSingleton<ICacheService, RedisCacheService>();
services.AddSingleton<IConnectionMultiplexer>(_ =>
ConnectionMultiplexer.Connect(configuration["Redis:Connection"]!));
// Transient: New instance every time
services.AddTransient<IValidator<CreateOrderRequest>, CreateOrderValidator>();
// Options pattern for configuration
services.Configure<CatalogOptions>(configuration.GetSection("Catalog"));
services.Configure<RedisOptions>(configuration.GetSection("Redis"));
// Factory pattern for conditional creation
services.AddScoped<IPriceCalculator>(sp =>
{
var options = sp.GetRequiredService<IOptions<PricingOptions>>().Value;
return options.UseNewEngine
? sp.GetRequiredService<NewPriceCalculator>()
: sp.GetRequiredService<LegacyPriceCalculator>();
});
// Keyed services (.NET 8+)
services.AddKeyedScoped<IPaymentProcessor, StripeProcessor>("stripe");
services.AddKeyedScoped<IPaymentProcessor, PayPalProcessor>("paypal");
return services;
}
}
// Usage with keyed services
public class CheckoutService
{
public CheckoutService(
[FromKeyedServices("stripe")] IPaymentProcessor stripeProcessor)
{
_processor = stripeProcessor;
}
}
3. Async/Await Patterns
// ✅ CORRECT: Async all the way down
public async Task<Product> GetProductAsync(string id, CancellationToken ct = default)
{
return await _repository.GetByIdAsync(id, ct);
}
// ✅ CORRECT: Parallel execution with WhenAll
public async Task<(Stock, Price)> GetStockAndPriceAsync(
string productId,
CancellationToken ct = default)
{
var stockTask = _stockService.GetAsync(productId, ct);
var priceTask = _priceService.GetAsync(productId, ct);
await Task.WhenAll(stockTask, priceTask);
return (await stockTask, await priceTask);
}
// ✅ CORRECT: ConfigureAwait in libraries
public async Task<T> LibraryMethodAsync<T>(CancellationToken ct = default)
{
var result = await _httpClient.GetAsync(url, ct).ConfigureAwait(false);
return await result.Content.ReadFromJsonAsync<T>(ct).ConfigureAwait(false);
}
// ✅ CORRECT: ValueTask for hot paths with caching
public ValueTask<Product?> GetCachedProductAsync(string id)
{
if (_cache.TryGetValue(id, out Product? product))
return ValueTask.FromResult(product);
return new ValueTask<Product?>(GetFromDatabaseAsync(id));
}
// ❌ WRONG: Blocking on async (deadlock risk)
var result = GetProductAsync(id).Result; // NEVER do this
var result2 = GetProductAsync(id).GetAwaiter().GetResult(); // Also bad
// ❌ WRONG: async void (except event handlers)
public async void ProcessOrder() { } // Exceptions are lost
// ❌ WRONG: Unnecessary Task.Run for already async code
await Task.Run(async () => await GetDataAsync()); // Wastes thread
4. Configuration with IOptions
// Configuration classes
public class CatalogOptions
{
public const string SectionName = "Catalog";
public int DefaultPageSize { get; set; } = 50;
public int MaxPageSize { get; set; } = 200;
public TimeSpan CacheDuration { get; set; } = TimeSpan.FromMinutes(15);
public bool EnableEnrichment { get; set; } = true;
}
public class RedisOptions
{
public const string SectionName = "Redis";
public string Connection { get; set; } = "localhost:6379";
public string KeyPrefix { get; set; } = "mcp:";
public int Database { get; set; } = 0;
}
// appsettings.json
{
"Catalog": {
"DefaultPageSize": 50,
"MaxPageSize": 200,
"CacheDuration": "00:15:00",
"EnableEnrichment": true
},
"Redis": {
"Connection": "localhost:6379",
"KeyPrefix": "mcp:",
"Database": 0
}
}
// Registration
services.Configure<CatalogOptions>(configuration.GetSection(CatalogOptions.SectionName));
services.Configure<RedisOptions>(configuration.GetSection(RedisOptions.SectionName));
// Usage with IOptions (singleton, read once at startup)
public class CatalogService
{
private readonly CatalogOptions _options;
public CatalogService(IOptions<CatalogOptions> options)
{
_options = options.Value;
}
}
// Usage with IOptionsSnapshot (scoped, re-reads on each request)
public class DynamicService
{
private readonly CatalogOptions _options;
public DynamicService(IOptionsSnapshot<CatalogOptions> options)
{
_options = options.Value; // Fresh value per request
}
}
// Usage with IOptionsMonitor (singleton, notified on changes)
public class MonitoredService
{
private CatalogOptions _options;
public MonitoredService(IOptionsMonitor<CatalogOptions> monitor)
{
_options = monitor.CurrentValue;
monitor.OnChange(newOptions => _options = newOptions);
}
}
5. Result Pattern (Avoiding Exceptions for Flow Control)
// Generic Result type
public class Result<T>
{
public bool IsSuccess { get; }
public T? Value { get; }
public string? Error { get; }
public string? ErrorCode { get; }
private Result(bool isSuccess, T? value, string? error, string? errorCode)
{
IsSuccess = isSuccess;
Value = value;
Error = error;
ErrorCode = errorCode;
}
public static Result<T> Success(T value) => new(true, value, null, null);
public static Result<T> Failure(string error, string? code = null) => new(false, default, error, code);
public Result<TNew> Map<TNew>(Func<T, TNew> mapper) =>
IsSuccess ? Result<TNew>.Success(mapper(Value!)) : Result<TNew>.Failure(Error!, ErrorCode);
public async Task<Result<TNew>> MapAsync<TNew>(Func<T, Task<TNew>> mapper) =>
IsSuccess ? Result<TNew>.Success(await mapper(Value!)) : Result<TNew>.Failure(Error!, ErrorCode);
}
// Usage in service
public async Task<Result<Order>> CreateOrderAsync(CreateOrderRequest request, CancellationToken ct)
{
// Validation
var validation = await _validator.ValidateAsync(request, ct);
if (!validation.IsValid)
return Result<Order>.Failure(
validation.Errors.First().ErrorMessage,
"VALIDATION_ERROR");
// Business rule check
var stock = await _stockService.CheckAsync(request.ProductId, request.Quantity, ct);
if (!stock.IsAvailable)
return Result<Order>.Failure(
$"Insufficient stock: {stock.Available} available, {request.Quantity} requested",
"INSUFFICIENT_STOCK");
// Create order
var order = await _repository.CreateAsync(request.ToEntity(), ct);
return Result<Order>.Success(order);
}
// Usage in controller/endpoint
app.MapPost("/orders", async (
CreateOrderRequest request,
IOrderService orderService,
CancellationToken ct) =>
{
var result = await orderService.CreateOrderAsync(request, ct);
return result.IsSuccess
? Results.Created($"/orders/{result.Value!.Id}", result.Value)
: Results.BadRequest(new { error = result.Error, code = result.ErrorCode });
});
Data Access Patterns
Entity Framework Core
// DbContext configuration
public class AppDbContext : DbContext
{
public DbSet<Product> Products => Set<Product>();
public DbSet<Order> Orders => Set<Order>();
protected override void OnModelCreating(ModelBuilder modelBuilder)
{
// Apply all configurations from assembly
modelBuilder.ApplyConfigurationsFromAssembly(typeof(AppDbContext).Assembly);
// Global query filters
modelBuilder.Entity<Product>().HasQueryFilter(p => !p.IsDeleted);
}
}
// Entity configuration
public class ProductConfiguration : IEntityTypeConfiguration<Product>
{
public void Configure(EntityTypeBuilder<Product> builder)
{
builder.ToTable("Products");
builder.HasKey(p => p.Id);
builder.Property(p => p.Id).HasMaxLength(40);
builder.Property(p => p.Name).HasMaxLength(200).IsRequired();
builder.Property(p => p.Price).HasPrecision(18, 2);
builder.HasIndex(p => p.Sku).IsUnique();
builder.HasIndex(p => new { p.CategoryId, p.Name });
builder.HasMany(p => p.OrderItems)
.WithOne(oi => oi.Product)
.HasForeignKey(oi => oi.ProductId);
}
}
// Repository with EF Core
public class ProductRepository : IProductRepository
{
private readonly AppDbContext _context;
public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default)
{
return await _context.Products
.AsNoTracking()
.FirstOrDefaultAsync(p => p.Id == id, ct);
}
public async Task<IReadOnlyList<Product>> SearchAsync(
ProductSearchCriteria criteria,
CancellationToken ct = default)
{
var query = _context.Products.AsNoTracking();
if (!string.IsNullOrWhiteSpace(criteria.SearchTerm))
query = query.Where(p => EF.Functions.Like(p.Name, $"%{criteria.SearchTerm}%"));
if (criteria.CategoryId.HasValue)
query = query.Where(p => p.CategoryId == criteria.CategoryId);
if (criteria.MinPrice.HasValue)
query = query.Where(p => p.Price >= criteria.MinPrice);
if (criteria.MaxPrice.HasValue)
query = query.Where(p => p.Price <= criteria.MaxPrice);
return await query
.OrderBy(p => p.Name)
.Skip((criteria.Page - 1) * criteria.PageSize)
.Take(criteria.PageSize)
.ToListAsync(ct);
}
}
Dapper for Performance
public class DapperProductRepository : IProductRepository
{
private readonly IDbConnection _connection;
public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default)
{
const string sql = """
SELECT Id, Name, Sku, Price, CategoryId, Stock, CreatedAt
FROM Products
WHERE Id = @Id AND IsDeleted = 0
""";
return await _connection.QueryFirstOrDefaultAsync<Product>(
new CommandDefinition(sql, new { Id = id }, cancellationToken: ct));
}
public async Task<IReadOnlyList<Product>> SearchAsync(
ProductSearchCriteria criteria,
CancellationToken ct = default)
{
var sql = new StringBuilder("""
SELECT Id, Name, Sku, Price, CategoryId, Stock, CreatedAt
FROM Products
WHERE IsDeleted = 0
""");
var parameters = new DynamicParameters();
if (!string.IsNullOrWhiteSpace(criteria.SearchTerm))
{
sql.Append(" AND Name LIKE @SearchTerm");
parameters.Add("SearchTerm", $"%{criteria.SearchTerm}%");
}
if (criteria.CategoryId.HasValue)
{
sql.Append(" AND CategoryId = @CategoryId");
parameters.Add("CategoryId", criteria.CategoryId);
}
if (criteria.MinPrice.HasValue)
{
sql.Append(" AND Price >= @MinPrice");
parameters.Add("MinPrice", criteria.MinPrice);
}
if (criteria.MaxPrice.HasValue)
{
sql.Append(" AND Price <= @MaxPrice");
parameters.Add("MaxPrice", criteria.MaxPrice);
}
sql.Append(" ORDER BY Name OFFSET @Offset ROWS FETCH NEXT @PageSize ROWS ONLY");
parameters.Add("Offset", (criteria.Page - 1) * criteria.PageSize);
parameters.Add("PageSize", criteria.PageSize);
var results = await _connection.QueryAsync<Product>(
new CommandDefinition(sql.ToString(), parameters, cancellationToken: ct));
return results.ToList();
}
// Multi-mapping for related data
public async Task<Order?> GetOrderWithItemsAsync(int orderId, CancellationToken ct = default)
{
const string sql = """
SELECT o.*, oi.*, p.*
FROM Orders o
LEFT JOIN OrderItems oi ON o.Id = oi.OrderId
LEFT JOIN Products p ON oi.ProductId = p.Id
WHERE o.Id = @OrderId
""";
var orderDictionary = new Dictionary<int, Order>();
await _connection.QueryAsync<Order, OrderItem, Product, Order>(
new CommandDefinition(sql, new { OrderId = orderId }, cancellationToken: ct),
(order, item, product) =>
{
if (!orderDictionary.TryGetValue(order.Id, out var existingOrder))
{
existingOrder = order;
existingOrder.Items = new List<OrderItem>();
orderDictionary.Add(order.Id, existingOrder);
}
if (item != null)
{
item.Product = product;
existingOrder.Items.Add(item);
}
return existingOrder;
},
splitOn: "Id,Id");
return orderDictionary.Values.FirstOrDefault();
}
}
Caching Patterns
Multi-Level Cache with Redis
public class CachedProductService : IProductService
{
private readonly IProductRepository _repository;
private readonly IMemoryCache _memoryCache;
private readonly IDistributedCache _distributedCache;
private readonly ILogger<CachedProductService> _logger;
private static readonly TimeSpan MemoryCacheDuration = TimeSpan.FromMinutes(1);
private static readonly TimeSpan DistributedCacheDuration = TimeSpan.FromMinutes(15);
public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default)
{
var cacheKey = $"product:{id}";
// L1: Memory cache (in-process, fastest)
if (_memoryCache.TryGetValue(cacheKey, out Product? cached))
{
_logger.LogDebug("L1 cache hit for {CacheKey}", cacheKey);
return cached;
}
// L2: Distributed cache (Redis)
var distributed = await _distributedCache.GetStringAsync(cacheKey, ct);
if (distributed != null)
{
_logger.LogDebug("L2 cache hit for {CacheKey}", cacheKey);
var product = JsonSerializer.Deserialize<Product>(distributed);
// Populate L1
_memoryCache.Set(cacheKey, product, MemoryCacheDuration);
return product;
}
// L3: Database
_logger.LogDebug("Cache miss for {CacheKey}, fetching from database", cacheKey);
var fromDb = await _repository.GetByIdAsync(id, ct);
if (fromDb != null)
{
var serialized = JsonSerializer.Serialize(fromDb);
// Populate both caches
await _distributedCache.SetStringAsync(
cacheKey,
serialized,
new DistributedCacheEntryOptions
{
AbsoluteExpirationRelativeToNow = DistributedCacheDuration
},
ct);
_memoryCache.Set(cacheKey, fromDb, MemoryCacheDuration);
}
return fromDb;
}
public async Task InvalidateAsync(string id, CancellationToken ct = default)
{
var cacheKey = $"product:{id}";
_memoryCache.Remove(cacheKey);
await _distributedCache.RemoveAsync(cacheKey, ct);
_logger.LogInformation("Invalidated cache for {CacheKey}", cacheKey);
}
}
// Stale-while-revalidate pattern
public class StaleWhileRevalidateCache<T>
{
private readonly IDistributedCache _cache;
private readonly TimeSpan _freshDuration;
private readonly TimeSpan _staleDuration;
public async Task<T?> GetOrCreateAsync(
string key,
Func<CancellationToken, Task<T>> factory,
CancellationToken ct = default)
{
var cached = await _cache.GetStringAsync(key, ct);
if (cached != null)
{
var entry = JsonSerializer.Deserialize<CacheEntry<T>>(cached)!;
if (entry.IsStale && !entry.IsExpired)
{
// Return stale data immediately, refresh in background
_ = Task.Run(async () =>
{
var fresh = await factory(CancellationToken.None);
await SetAsync(key, fresh, CancellationToken.None);
});
}
if (!entry.IsExpired)
return entry.Value;
}
// Cache miss or expired
var value = await factory(ct);
await SetAsync(key, value, ct);
return value;
}
private record CacheEntry<TValue>(TValue Value, DateTime CreatedAt)
{
public bool IsStale => DateTime.UtcNow - CreatedAt > _freshDuration;
public bool IsExpired => DateTime.UtcNow - CreatedAt > _staleDuration;
}
}
Testing Patterns
Unit Tests with xUnit and Moq
public class OrderServiceTests
{
private readonly Mock<IOrderRepository> _mockRepository;
private readonly Mock<IStockService> _mockStockService;
private readonly Mock<IValidator<CreateOrderRequest>> _mockValidator;
private readonly OrderService _sut; // System Under Test
public OrderServiceTests()
{
_mockRepository = new Mock<IOrderRepository>();
_mockStockService = new Mock<IStockService>();
_mockValidator = new Mock<IValidator<CreateOrderRequest>>();
// Default: validation passes
_mockValidator
.Setup(v => v.ValidateAsync(It.IsAny<CreateOrderRequest>(), It.IsAny<CancellationToken>()))
.ReturnsAsync(new ValidationResult());
_sut = new OrderService(
_mockRepository.Object,
_mockStockService.Object,
_mockValidator.Object);
}
[Fact]
public async Task CreateOrderAsync_WithValidRequest_ReturnsSuccess()
{
// Arrange
var request = new CreateOrderRequest
{
ProductId = "PROD-001",
Quantity = 5,
CustomerOrderCode = "ORD-2024-001"
};
_mockStockService
.Setup(s => s.CheckAsync("PROD-001", 5, It.IsAny<CancellationToken>()))
.ReturnsAsync(new StockResult { IsAvailable = true, Available = 10 });
_mockRepository
.Setup(r => r.CreateAsync(It.IsAny<Order>(), It.IsAny<CancellationToken>()))
.ReturnsAsync(new Order { Id = 1, CustomerOrderCode = "ORD-2024-001" });
// Act
var result = await _sut.CreateOrderAsync(request);
// Assert
Assert.True(result.IsSuccess);
Assert.NotNull(result.Value);
Assert.Equal(1, result.Value.Id);
_mockRepository.Verify(
r => r.CreateAsync(It.Is<Order>(o => o.CustomerOrderCode == "ORD-2024-001"),
It.IsAny<CancellationToken>()),
Times.Once);
}
[Fact]
public async Task CreateOrderAsync_WithInsufficientStock_ReturnsFailure()
{
// Arrange
var request = new CreateOrderRequest { ProductId = "PROD-001", Quantity = 100 };
_mockStockService
.Setup(s => s.CheckAsync(It.IsAny<string>(), It.IsAny<int>(), It.IsAny<CancellationToken>()))
.ReturnsAsync(new StockResult { IsAvailable = false, Available = 5 });
// Act
var result = await _sut.CreateOrderAsync(request);
// Assert
Assert.False(result.IsSuccess);
Assert.Equal("INSUFFICIENT_STOCK", result.ErrorCode);
Assert.Contains("5 available", result.Error);
_mockRepository.Verify(
r => r.CreateAsync(It.IsAny<Order>(), It.IsAny<CancellationToken>()),
Times.Never);
}
[Theory]
[InlineData(0)]
[InlineData(-1)]
[InlineData(-100)]
public async Task CreateOrderAsync_WithInvalidQuantity_ReturnsValidationError(int quantity)
{
// Arrange
var request = new CreateOrderRequest { ProductId = "PROD-001", Quantity = quantity };
_mockValidator
.Setup(v => v.ValidateAsync(request, It.IsAny<CancellationToken>()))
.ReturnsAsync(new ValidationResult(new[]
{
new ValidationFailure("Quantity", "Quantity must be greater than 0")
}));
// Act
var result = await _sut.CreateOrderAsync(request);
// Assert
Assert.False(result.IsSuccess);
Assert.Equal("VALIDATION_ERROR", result.ErrorCode);
}
}
Integration Tests with WebApplicationFactory
public class ProductsApiTests : IClassFixture<WebApplicationFactory<Program>>
{
private readonly WebApplicationFactory<Program> _factory;
private readonly HttpClient _client;
public ProductsApiTests(WebApplicationFactory<Program> factory)
{
_factory = factory.WithWebHostBuilder(builder =>
{
builder.ConfigureServices(services =>
{
// Replace real database with in-memory
services.RemoveAll<DbContextOptions<AppDbContext>>();
services.AddDbContext<AppDbContext>(options =>
options.UseInMemoryDatabase("TestDb"));
// Replace Redis with memory cache
services.RemoveAll<IDistributedCache>();
services.AddDistributedMemoryCache();
});
});
_client = _factory.CreateClient();
}
[Fact]
public async Task GetProduct_WithValidId_ReturnsProduct()
{
// Arrange
using var scope = _factory.Services.CreateScope();
var context = scope.ServiceProvider.GetRequiredService<AppDbContext>();
context.Products.Add(new Product
{
Id = "TEST-001",
Name = "Test Product",
Price = 99.99m
});
await context.SaveChangesAsync();
// Act
var response = await _client.GetAsync("/api/products/TEST-001");
// Assert
response.EnsureSuccessStatusCode();
var product = await response.Content.ReadFromJsonAsync<Product>();
Assert.Equal("Test Product", product!.Name);
}
[Fact]
public async Task GetProduct_WithInvalidId_Returns404()
{
// Act
var response = await _client.GetAsync("/api/products/NONEXISTENT");
// Assert
Assert.Equal(HttpStatusCode.NotFound, response.StatusCode);
}
}
Best Practices
DO
- Use async/await all the way through the call stack
- Inject dependencies through constructor injection
- Use IOptions
for typed configuration - Return Result types instead of throwing exceptions for business logic
- Use CancellationToken in all async methods
- Prefer Dapper for read-heavy, performance-critical queries
- Use EF Core for complex domain models with change tracking
- Cache aggressively with proper invalidation strategies
- Write unit tests for business logic, integration tests for APIs
- Use record types for DTOs and immutable data
DON'T
- Don't block on async with
.Resultor.Wait() - Don't use async void except for event handlers
- Don't catch generic Exception without re-throwing or logging
- Don't hardcode configuration values
- Don't expose EF entities directly in APIs (use DTOs)
- Don't forget
AsNoTracking()for read-only queries - Don't ignore CancellationToken parameters
- Don't create
new HttpClient()manually (use IHttpClientFactory) - Don't mix sync and async code unnecessarily
- Don't skip validation at API boundaries
Common Pitfalls
- N+1 Queries: Use
.Include()or explicit joins - Memory Leaks: Dispose IDisposable resources, use
using - Deadlocks: Don't mix sync and async, use ConfigureAwait(false) in libraries
- Over-fetching: Select only needed columns, use projections
- Missing Indexes: Check query plans, add indexes for common filters
- Timeout Issues: Configure appropriate timeouts for HTTP clients
- Cache Stampede: Use distributed locks for cache population
Decide Fit First
Design Intent
How To Use It
Boundaries And Review