DKNet is an enterprise-grade .NET library collection focused on advanced EF Core extensions, dynamic predicate building, and the Specification pattern. It provides production-ready tools for building robust, type-safe, and testable data access layers, including dynamic LINQ support, LinqKit integration. Designed for modern cloud-native applications, DKNet enforces strict code quality, async best practices, and full documentation for all public APIs. Enterprise-grade .NET library suite for modern application development, featuring advanced EF Core extensions (dynamic predicates, specifications, LinqKit), robust Domain-Driven Design (DDD) patterns, and domain event support. DKNet empowers scalable, maintainable, and testable solutions with type-safe validation, async/await, XML documentation, and high code quality standards. Ideal for cloud-native, microservices, and enterprise architectures.
Get Started
$ dotnet add package DKNet.Svc.TransformationReadme
DKNet.Svc.Transformation
A flexible .NET library for template-based data transformation, designed for APIs, DDD, and EF Core scenarios. Supports custom token extraction, dynamic value resolution, and is fully configurable via dependency injection.
Features
- Transform template strings using data objects or custom token factories
- Extensible token extractors for different template formats
- Configurable value formatting and caching
- Designed for dependency injection
- .NET 9.0 compatible
Installation
Add the NuGet package to your project:
dotnet add package DKNet.Svc.Transformation
Usage
Register the service in your DI container:
using Microsoft.Extensions.DependencyInjection;
using DKNet.Svc.Transformation;
var services = new ServiceCollection();
services.AddTransformerService(options =>
{
// Customize TransformOptions if needed
options.DisabledLocalCache = false;
});
Transform a template string:
var transformer = services.BuildServiceProvider().GetRequiredService<ITransformerService>();
string template = "Hello [Name]. Your {Email} had been [ApprovedStatus]";
var result = await transformer.TransformAsync(template, new { Name = "Duy", Email = "drunkcoding@outlook.net", ApprovedStatus = "Approved" });
// result: "Hello Duy. Your drunkcoding@outlook.net had been Approved"
Or use a custom token factory:
var result = await transformer.TransformAsync(template, async token =>
{
// Custom logic to resolve token value
return await GetValueForTokenAsync(token);
});
API
ITransformerService.TransformAsync(string templateString, params object[] parameters): Transform using provided data objects.ITransformerService.TransformAsync(string templateString, Func<IToken, Task<object>> tokenFactory): Transform using a custom token resolver.TransformOptions: Configure extractors, formatters, caching, and global parameters.TransformSetup.AddTransformerService(IServiceCollection, Action<TransformOptions>?): Register the service with DI.
License
MIT © 2026 drunkcoding
Repository
https://github.com/baoduy/DKNet
Contributing
Pull requests and issues are welcome!