Pandatech.EFCore.AuditBase is a comprehensive auditing library for Entity Framework Core, designed to make entity tracking, deletion management, and concurrency control straightforward and efficient.
- Automatic Auditing: Automatically tracks creation and update times, along with the corresponding user IDs.
- Soft Delete Support: Implements soft deletion logic, allowing entities to be marked as deleted without physical removal from the database.
- Concurrency Control: Integrates versioning to handle concurrency, minimizing data conflicts.
- Enforced Best Practices: Enforces the use of provided methods for updates and deletions, ensuring consistent audit trails.
- Query Filter Management: Allows for the exclusion of soft-deleted entities from queries, with an option to include them when necessary.
- Seamless Integration: Designed to integrate smoothly with EF Core projects, enhancing data integrity and compliance.
To integrate Pandatech.EFCore.AuditBase into your project, install the NuGet package:
Install-Package Pandatech.EFCore.AuditBase
- Inherit from
AuditEntityBase
in your entity classes to enable auditing. - Use
MarkAsUpdated(userId)
andMarkAsDeleted(userId)
methods to handle entity updates and deletions. - Apply
DbContextExtensions.UseAuditPropertyValidation
in your DbContext to enforce audit method usage. - Leverage
ModelBuilderExtensions.FilterOutDeletedMarkedObjects
to automatically exclude soft-deleted entities from EF Core queries.
Assuming you have a Product
entity in your application, you would inherit from AuditEntityBase
to include auditing
properties:
using Pandatech.VerticalSlices.Domain.Shared;
public class Product : AuditEntityBase
{
public int Id { get; set; }
public string Name { get; set; }
public decimal Price { get; set; }
}
By inheriting from AuditEntityBase
, Product automatically gains auditing properties
like CreatedAt
, CreatedByUserId
, UpdatedAt
, UpdatedByUserId
, Deleted
and Version
.
When updating or deleting an entity, use the provided methods to ensure the audit properties are correctly updated:
public void UpdateProduct(Product product, long updatingUserId)
{
// Perform your update logic...
product.MarkAsUpdated(updatingUserId); //optional UpdatedAt DateTime parameter
_dbContext.SaveChanges();
}
public void DeleteProduct(Product product, long deletingUserId)
{
product.MarkAsDeleted(deletingUserId); //optional UpdatedAt DateTime parameter
_dbContext.SaveChanges();
}
In your DbContext
, ensure you call UseAuditPropertyValidation
to enforce the usage of audit methods and
FilterOutDeletedMarkedObjects
to apply the global filter for soft-deleted entities:
using Microsoft.EntityFrameworkCore;
using Pandatech.VerticalSlices.Infrastructure.Context;
public class MyDbContext : DbContext
{
public DbSet<Product> Products { get; set; }
protected override void OnModelCreating(ModelBuilder modelBuilder)
{
base.OnModelCreating(modelBuilder);
modelBuilder.FilterOutDeletedMarkedObjects(); // Apply global query filter for soft deletes
}
public MyDbContext(DbContextOptions<MyDbContext> options) : base(options)
{
this.UseAuditPropertyValidation(); // Enforce audit method usage
}
}
This extension method allows developers to update multiple properties while still maintaining audit consistency by
updating UpdatedAt
, UpdatedByUserId
, and Version
behind the scenes.
public async Task UpdateProductPricesAsync(MyDbContext dbContext, long userId)
{
var expensiveProducts = dbContext.Products.Where(p => p.Price > 100);
await expensiveProducts.ExecuteUpdateAndMarkUpdatedAsync(
userId,
x => x.SetProperty(p => p.Price, p => p.Price * 0.9) // Apply 10% discount
);
}
To perform a soft delete on multiple entities, use the ExecuteSoftDeleteAsync
extension method.
public async Task SoftDeleteProductsAsync(MyDbContext dbContext, long userId)
{
var productsToSoftDelete = dbContext.Products.Where(p => p.Price > 100);
await productsToSoftDelete.ExecuteSoftDeleteAsync(userId);
}
If you need to include soft-deleted entities in a specific query, use IgnoreQueryFilters()
:
var allProductsIncludingDeleted = _dbContext.Products.IgnoreQueryFilters().ToList();
The AuditEntityBase
includes a versioning mechanism to manage concurrent updates. In the event of a conflict, a
concurrency exception will be thrown. This can be gracefully handled using try-catch blocks or integrated
with Pandatech.ResponseCrafter
for automated response management.
However, ExecuteUpdateAndMarkUpdatedAsync
and ExecuteSoftDeleteAsync
ignore optimistic locking, meaning they
will not throw a concurrency exception if the Version
field changes during the operation. This is because these
methods only increment the Version
field by one, regardless of the current value.
Contributions are welcome! Please submit a pull request or open an issue to propose changes or report bugs.
Pandatech.EFCore.AuditBase is licensed under the MIT License.