Traditional RPC-based web services approach API design as a collection of individual method calls, leading to duplication and limited flexibility. In contrast, ServiceStack advocates for message-based design principles that emphasize concise, generic, and versatile services.
When designing ServiceStack request DTOs, consider the following:
As an example, let's refactor the provided Booking Limit services:
[Route("/bookinglimits/{Id}")] public class GetBookingLimit : IReturn<BookingLimit> { public int Id { get; set; } } public class BookingLimit { // Properties (omitted for brevity) } [Route("/bookinglimits/search")] public class FindBookingLimits : IReturn<List<BookingLimit>> { public DateTime BookedAfter { get; set; } }
Features removed from the responses include ResponseStatus, as it can be handled using the generic ErrorResponse DTO. Additionally, the Date property in GetBookingLimits has been replaced with a more specific BookedAfter property.
The service implementation now looks like this:
[Authenticate] public class BookingLimitService : AppServiceBase { public BookingLimit Get(GetBookingLimit request) { ... } public List<BookingLimit> Get(FindBookingLimits request) { ... } }
Authentication has been applied as a single attribute on the service class.
Validation should be layered and non-invasive, making it easy to add and maintain. The following validator can be used for CreateBooking:
public class CreateBookingValidator : AbstractValidator<CreateBooking> { public CreateBookingValidator() { // Validation rules } }
Remember, the choice between using C# exceptions or Fluent Validation depends on the operation's side effects.
By adopting a message-based design approach, ServiceStack allows you to create APIs that are more concise, reusable, and flexible.
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