Full Modular Monolith .NET application with Domain-Driven Design approach.
1.1 Purpose of this Repository
3.3 API and Module Communication
3.4 Module Requests Processing via CQRS
3.5 Domain Model Principles and Attributes
10. Inspirations and Recommendations
This is a list of the main goals of this repository:
- Showing how you can implement a monolith application in a modular way
- Presentation of the full implementation of an application
- This is not another simple application
- This is not another proof of concept (PoC)
- The goal is to present the implementation of an application that would be ready to run in production
- Showing the application of best practices and object-oriented programming principles
- Presentation of the use of design patterns. When, how and why they can be used
- Presentation of some architectural considerations, decisions, approaches
- Presentation of the implementation using Domain-Driven Design approach (tactical patterns)
- Presentation of the implementation of Unit Tests for Domain Model (Testable Design in mind)
This is a list of subjects which are out of scope for this repository:
- Business requirements gathering and analysis
- System analysis
- Domain exploration
- Domain distillation
- Domain-Driven Design strategic patterns
- Architecture evaluation, quality attributes analysis
- Integration, system tests
- Project management
- Infrastructure
- Containerization
- Software engineering process, CI/CD
- Deployment process
- Maintenance
- Documentation
The reason for creating this repository is the lack of something similar. Most sample applications on GitHub have at least one of the following issues:
- Very, very simple - few entities and use cases implemented
- Not finished (for example there is no authentication, logging, etc..)
- Poorly designed (in my opinion)
- Poorly implemented (in my opinion)
- Not well described
- Assumptions and decisions are not clearly explained
- Implements "Orders" domain - yes, everyone knows this domain, but something different is needed
- Implemented in old technology
- Not maintained
To sum up, there are some very good examples, but there are far too few of them. This repository has the task of filling this gap at some level.
Software architecture should always be created to resolve specific business problems. Software architecture always supports some quality attributes and at the same time does not support others. A lot of other factors influence your software architecture - your team, opinions, preferences, experiences, technical constraints, time, budget, etc.
Always functional requirements, quality attributes, technical constraints and other factors should be considered before an architectural decision is made.
Because of the above, the architecture and implementation presented in this repository is one of the many ways to solve some problems. Take from this repository as much as you want, use it as you like but remember to always pick the best solution which is appropriate to the problem class you have.
My primary focus in this project is on quality. Creating a good quality product involves a lot of analysis, research and work. It takes a lot of time. If you like this project, learned something or you are using it in your applications, please give it a star ⭐. This is the best motivation for me to continue this work. Thanks!
There are very few really good examples of this type of application. If you think this repository makes a difference and is worth it, please share it with your friends and on social networks. I will be extremely grateful.
Definition:
Domain - A sphere of knowledge, influence, or activity. The subject area to which the user applies a program is the domain of the software. Domain-Driven Design Reference, Eric Evans
The Meeting Groups domain was selected for the purposes of this project based on the Meetup.com system.
Main reasons for selecting this domain:
- It is common, a lot of people use the Meetup site to organize or attend meetings
- There is a system for it, so everyone can check this implementation against a working site which supports this domain
- It is not complex so it is easy to understand
- It is not trivial - there are some business rules and logic and it is not just CRUD operations
- You don't need much specific domain knowledge unlike other domains like financing, banking, medical
- It is not big so it is easier to implement
Meetings
The main business entities are Member
, Meeting Group
and Meeting
. A Member
can create a Meeting Group
, be part of a Meeting Group
or can attend a Meeting
.
A Meeting Group Member
can be an Organizer
of this group or a normal Member
.
Only an Organizer
of a Meeting Group
can create a new Meeting
.
A Meeting
has attendees, not attendees (Members
which declare they will not attend the Meeting
) and Members
on the Waitlist
.
A Meeting
can have an attendee limit. If the limit is reached, Members
can only sign up to the Waitlist
.
A Meeting Attendee
can bring guests to the Meeting
. The number of guests allowed is an attribute of the Meeting
. Bringing guests can be unallowed.
A Meeting Attendee
can have one of two roles: Attendee
or Host
. A Meeting
must have at least one Host
. The Host
is a special role which grants permission to edit Meeting
information or change the attendees list.
Administration
To create a new Meeting Group
, a Member
needs to propose the group. A Meeting Group Proposal
is sent to Administrators
. An Administrator
can accept or reject a Meeting Group Proposal
. If a Meeting Group Proposal
is accepted, a Meeting Group
is created.
Payments
To be able to organize Meetings
, the Meeting Group
must be paid for. The Meeting Group
Organizer
who is the Payer
, must pay some fee according to a payment plan.
Additionally, Meeting organizer can set an Event Fee
. Each Meeting Attendee
is obliged to pay the fee. All guests should be paid by Meeting Attendee
too.
Users
Each Administrator
, Member
and Payer
is a User
. To be a User
, User Registration
is required and confirmed.
Each User
is assigned one or more User Role
.
Each User Role
has set of Permissions
. A Permission
defines whether User
can invoke a particular action.
Definition:
Conceptual Model - A conceptual model is a representation of a system, made of the composition of concepts that are used to help people know, understand, or simulate a subject the model represents. Wikipedia - Conceptual model
Conceptual Model
While a Conceptual Model focuses on structures and relationships between them, behavior and events that occur in our domain are more important.
There are many ways to show behavior and events. One of them is a light technique called Event Storming which is becoming more popular. Below are presented 3 main business processes using this technique: user registration, meeting group creation and meeting organization.
Note: Event Storming is a light, live workshop. One of the possible outputs of this workshop is presented here. Even if you are not doing Event Storming workshops, this type of process presentation can be very valuable to you and your stakeholders.
User Registration process
Module descriptions:
- API - Very thin ASP.NET MVC Core REST API application. Main responsibilities are:
- Accept request
- Authenticate and authorize request (using User Access module)
- Delegate work to specific module sending Command or Query
- Return response
- User Access - responsible for user authentication, authorization and registration
- Meetings - implements Meetings Bounded Context: creating meeting groups, meetings
- Administration - implements Administration Bounded Context: implements administrative tasks like meeting group proposal verification
- Payments - implements Payments Bounded Context: implements all functionalities associated with payments
- In Memory Events Bus - Publish/Subscribe implementation to asynchronously integrate all modules using events (Event Driven Architecture).
Key assumptions:
- API contains no application logic
- API communicates with Modules using a small interface to send Queries and Commands
- Each Module has its own interface which is used by API
- Modules communicate each other only asynchronously using Events Bus - direct method calls are not allowed
- Each Module has it's own data in a separate schema - shared data is not allowed
- Module data could be moved into separate databases if desired
- Modules can only have a dependency on the integration events assembly of other Module (see Module level view)
- Each Module has its own Composition Root, which implies that each Module has its own Inversion-of-Control container
- API as a host needs to initialize each module and each module has an initialization method
- Each Module is highly encapsulated - only required types and members are public, the rest are internal or private
Each Module consists of the following submodules (assemblies):
- Application - the main submodule which is responsible for initialization, processing all requests, internal commands and integration events
- Domain - Domain Model in Domain-Driven Design terms implements the applicable Bounded Context
- Infrastructure - infrastructural code like Entity Framework configuration and mappings
- IntegrationEvents - Contracts published to the Events Bus; only this assembly can be called by other modules
Note: Application, Domain and Infrastructure assemblies could be merged into one assembly. Some people like horizontal layering or more decomposition, some don't. Implementing the Domain Model or Infrastructure in separate assembly allows encapsulation using the internal
keyword. Sometimes Bounded Context logic is not worth it because it is too simple. As always, be pragmatic and take whatever approach you like.
The API only communicates with Modules in two ways: during module initialization and request processing.
Module initialization
Each module has a static Initialize
method which is invoked in the API Startup
class. All configuration needed by this module should be provided as arguments to this method. All services are configured during initialization and the Composition Root is created using the Inversion-of-Control Container.
public static void Initialize(
string connectionString,
IExecutionContextAccessor executionContextAccessor,
ILogger logger,
EmailsConfiguration emailsConfiguration)
{
var moduleLogger = logger.ForContext("Module", "Meetings");
ConfigureCompositionRoot(connectionString, executionContextAccessor, moduleLogger, emailsConfiguration);
QuartzStartup.Initialize(moduleLogger);
EventsBusStartup.Initialize(moduleLogger);
}
Request processing
Each module has the same interface signature exposed to the API. It contains 3 methods: command with result, command without result and query.
public interface IMeetingsModule
{
Task<TResult> ExecuteCommandAsync<TResult>(ICommand<TResult> command);
Task ExecuteCommandAsync(ICommand command);
Task<TResult> ExecuteQueryAsync<TResult>(IQuery<TResult> query);
}
Note: Some people say that processing a command should not return a result. This is an understandable approach but sometimes impractical, especially when you want to immediately return the ID of a newly created resource. Sometimes the boundary between Command and Query is blurry. One example is AuthenticateCommand
- it returns a token but it is not a query because it has a side effect.
Processing of Commands and Queries is separated by applying the architectural style/pattern Command Query Responsibility Segregation (CQRS).
Commands are processed using Write Model which is implemented using DDD tactical patterns:
internal class CreateNewMeetingGroupCommandHandler : ICommandHandler<CreateNewMeetingGroupCommand>
{
private readonly IMeetingGroupRepository _meetingGroupRepository;
private readonly IMeetingGroupProposalRepository _meetingGroupProposalRepository;
internal CreateNewMeetingGroupCommandHandler(
IMeetingGroupRepository meetingGroupRepository,
IMeetingGroupProposalRepository meetingGroupProposalRepository)
{
_meetingGroupRepository = meetingGroupRepository;
_meetingGroupProposalRepository = meetingGroupProposalRepository;
}
public async Task<Unit> Handle(CreateNewMeetingGroupCommand request, CancellationToken cancellationToken)
{
var meetingGroupProposal = await _meetingGroupProposalRepository.GetByIdAsync(request.MeetingGroupProposalId);
var meetingGroup = meetingGroupProposal.CreateMeetingGroup();
await _meetingGroupRepository.AddAsync(meetingGroup);
return Unit.Value;
}
}
Queries are processed using Read Model which is implemented by executing raw SQL statements on database views:
internal class GetAllMeetingGroupsQueryHandler : IQueryHandler<GetAllMeetingGroupsQuery, List<MeetingGroupDto>>
{
private readonly ISqlConnectionFactory _sqlConnectionFactory;
internal GetAllMeetingGroupsQueryHandler(ISqlConnectionFactory sqlConnectionFactory)
{
_sqlConnectionFactory = sqlConnectionFactory;
}
public async Task<List<MeetingGroupDto>> Handle(GetAllMeetingGroupsQuery request, CancellationToken cancellationToken)
{
var connection = _sqlConnectionFactory.GetOpenConnection();
const string sql = "SELECT " +
"[MeetingGroup].[Id], " +
"[MeetingGroup].[Name], " +
"[MeetingGroup].[Description], " +
"[MeetingGroup].[LocationCountryCode], " +
"[MeetingGroup].[LocationCity]" +
"FROM [meetings].[v_MeetingGroups] AS [MeetingGroup]";
var meetingGroups = await connection.QueryAsync<MeetingGroupDto>(sql);
return meetingGroups.AsList();
}
}
Key advantages:
- Solution is appropriate to the problem - reading and writing needs are usually different
- Supports Single Responsibility Principle (SRP) - one handler does one thing
- Supports Interface Segregation Principle (ISP) - each handler implements interface with exactly one method
- Supports Parameter Object pattern - Commands and Queries are objects which are easy to serialize/deserialize
- Easy way to apply Decorator pattern to handle cross-cutting concerns
- Supports Loose Coupling by use of the Mediator pattern - separates invoker of request from handler of request
Disadvantage:
- Mediator pattern introduces extra indirection and is harder to reason about which class handles the request
For more information: Simple CQRS implementation with raw SQL and DDD
The Domain Model, which is the central and most critical part in the system, should be designed with special attention. Here are some key principles and attributes which are applied to Domain Models of each module:
-
High level of encapsulation
All members are
private
by default, theninternal
- onlypublic
at the very edge. -
High level of PI (Persistence Ignorance)
No dependencies to infrastructure, databases, etc. All classes are POCOs.
-
Rich in behavior
All business logic is located in the Domain Model. No leaks to the application layer or elsewhere.
-
Low level of Primitive Obsession
Primitive attributes of Entites grouped together using ValueObjects.
-
Business language
All classes, methods and other members are named in business language used in this Bounded Context.
-
Testable
The Domain Model is a critical part of the system so it should be easy to test (Testable Design).
public class MeetingGroup : Entity, IAggregateRoot
{
public MeetingGroupId Id { get; private set; }
private string _name;
private string _description;
private MeetingGroupLocation _location;
private MemberId _creatorId;
private List<MeetingGroupMember> _members;
private DateTime _createDate;
private DateTime? _paymentDateTo;
internal static MeetingGroup CreateBasedOnProposal(
MeetingGroupProposalId meetingGroupProposalId,
string name,
string description,
MeetingGroupLocation location, MemberId creatorId)
{
return new MeetingGroup(meetingGroupProposalId, name, description, location, creatorId);
}
public Meeting CreateMeeting(
string title,
MeetingTerm term,
string description,
MeetingLocation location,
int? attendeesLimit,
int guestsLimit,
Term rsvpTerm,
MoneyValue eventFee,
List<MemberId> hostsMembersIds,
MemberId creatorId)
{
this.CheckRule(new MeetingCanBeOrganizedOnlyByPayedGroupRule(_paymentDateTo));
this.CheckRule(new MeetingHostMustBeAMeetingGroupMemberRule(creatorId, hostsMembersIds, _members));
return new Meeting(this.Id,
title,
term,
description,
location,
attendeesLimit,
guestsLimit,
rsvpTerm,
eventFee,
hostsMembersIds,
creatorId);
}
To support Single Responsibility Principle and Don't Repeat Yourself principles, the implementation of cross-cutting concerns is done using the Decorator Pattern. Each Command processor is decorated by 3 decorators: logging, validation and unit of work.
Logging
The Logging decorator logs execution, arguments and processing of each Command. This way each log inside a processor has the log context of the processing command.
internal class LoggingCommandHandlerDecorator<T> : ICommandHandler<T> where T:ICommand
{
private readonly ILogger _logger;
private readonly IExecutionContextAccessor _executionContextAccessor;
private readonly ICommandHandler<T> _decorated;
public LoggingCommandHandlerDecorator(
ILogger logger,
IExecutionContextAccessor executionContextAccessor,
ICommandHandler<T> decorated)
{
_logger = logger;
_executionContextAccessor = executionContextAccessor;
_decorated = decorated;
}
public async Task<Unit> Handle(T command, CancellationToken cancellationToken)
{
if (command is IRecurringCommand)
{
return await _decorated.Handle(command, cancellationToken);
}
using (
LogContext.Push(
new RequestLogEnricher(_executionContextAccessor),
new CommandLogEnricher(command)))
{
try
{
this._logger.Information(
"Executing command {Command}",
command.GetType().Name);
var result = await _decorated.Handle(command, cancellationToken);
this._logger.Information("Command {Command} processed successful", command.GetType().Name);
return result;
}
catch (Exception exception)
{
this._logger.Error(exception, "Command {Command} processing failed", command.GetType().Name);
throw;
}
}
}
private class CommandLogEnricher : ILogEventEnricher
{
private readonly ICommand _command;
public CommandLogEnricher(ICommand command)
{
_command = command;
}
public void Enrich(LogEvent logEvent, ILogEventPropertyFactory propertyFactory)
{
logEvent.AddOrUpdateProperty(new LogEventProperty("Context", new ScalarValue($"Command:{_command.Id.ToString()}")));
}
}
private class RequestLogEnricher : ILogEventEnricher
{
private readonly IExecutionContextAccessor _executionContextAccessor;
public RequestLogEnricher(IExecutionContextAccessor executionContextAccessor)
{
_executionContextAccessor = executionContextAccessor;
}
public void Enrich(LogEvent logEvent, ILogEventPropertyFactory propertyFactory)
{
if (_executionContextAccessor.IsAvailable)
{
logEvent.AddOrUpdateProperty(new LogEventProperty("CorrelationId", new ScalarValue(_executionContextAccessor.CorrelationId)));
}
}
}
}
Validation
The Validation decorator performs Command data validation. It checks rules against Command arguments using the FluentValidation library.
internal class ValidationCommandHandlerDecorator<T> : ICommandHandler<T> where T:ICommand
{
private readonly IList<IValidator<T>> _validators;
private readonly ICommandHandler<T> _decorated;
public ValidationCommandHandlerDecorator(
IList<IValidator<T>> validators,
ICommandHandler<T> decorated)
{
this._validators = validators;
_decorated = decorated;
}
public Task<Unit> Handle(T command, CancellationToken cancellationToken)
{
var errors = _validators
.Select(v => v.Validate(command))
.SelectMany(result => result.Errors)
.Where(error => error != null)
.ToList();
if (errors.Any())
{
var errorBuilder = new StringBuilder();
errorBuilder.AppendLine("Invalid command, reason: ");
foreach (var error in errors)
{
errorBuilder.AppendLine(error.ErrorMessage);
}
throw new InvalidCommandException(errorBuilder.ToString(), null);
}
return _decorated.Handle(command, cancellationToken);
}
}
Unit Of Work
All Command processing has side effects. To avoid calling commit on every handler, UnitOfWorkCommandHandlerDecorator
is used. It additionally marks InternalCommand
as processed (if it is Internal Command) and dispatches all Domain Events (as part of Unit Of Work).
public class UnitOfWorkCommandHandlerDecorator<T> : ICommandHandler<T> where T:ICommand
{
private readonly ICommandHandler<T> _decorated;
private readonly IUnitOfWork _unitOfWork;
private readonly MeetingsContext _meetingContext;
public UnitOfWorkCommandHandlerDecorator(
ICommandHandler<T> decorated,
IUnitOfWork unitOfWork,
MeetingsContext meetingContext)
{
_decorated = decorated;
_unitOfWork = unitOfWork;
_meetingContext = meetingContext;
}
public async Task<Unit> Handle(T command, CancellationToken cancellationToken)
{
await this._decorated.Handle(command, cancellationToken);
if (command is InternalCommandBase)
{
var internalCommand =
await _meetingContext.InternalCommands.FirstOrDefaultAsync(x => x.Id == command.Id,
cancellationToken: cancellationToken);
if (internalCommand != null)
{
internalCommand.ProcessedDate = DateTime.UtcNow;
}
}
await this._unitOfWork.CommitAsync(cancellationToken);
return Unit.Value;
}
}
Integration between modules is strictly asynchronous using Integration Events and the In Memory Event Bus as broker. In this way coupling between modules is minimal and exists only on the structure of Integration Events.
Modules don't share data so it is not possible nor desirable to create a transaction which spans more than one module. To ensure maximum reliability, the Outbox / Inbox pattern is used. This pattern provides accordingly "At-Least-Once delivery" and "At-Least-Once processing".
The Outbox and Inbox is implemented using two SQL tables and a background worker for each module. The background worker is implemented using the Quartz.NET library.
Saving to Outbox:
Processing Outbox:
The main principle of this system is that you can change its state only by calling a specific Command.
Commands can be called not only by the API, but by the processing module itself. The main use case which implements this mechanism is data processing in eventual consistency mode when we want to process something in a different process and transaction. This applies, for example, to Inbox processing because we want to do something (calling a Command) based on an Integration Event from the Inbox.
This idea is taken from Alberto's Brandolini's Event Storming picture called "The picture that explains “almost” everything" which shows that every side effect (domain event) is created by invoking a Command on Aggregate. See EventStorming cheat sheet article for more details.
Implementation of internal processing is very similar to implementation of the Outbox and Inbox. One SQL table and one background worker for processing. Each internally processing Command must inherit from InternalCommandBase
class:
internal abstract class InternalCommandBase : ICommand
{
public Guid Id { get; }
protected InternalCommandBase(Guid id)
{
this.Id = id;
}
}
This is important because the UnitOfWorkCommandHandlerDecorator
must mark an internal Command as processed during committing:
public async Task<Unit> Handle(T command, CancellationToken cancellationToken)
{
await this._decorated.Handle(command, cancellationToken);
if (command is InternalCommandBase)
{
var internalCommand =
await _meetingContext.InternalCommands.FirstOrDefaultAsync(x => x.Id == command.Id,
cancellationToken: cancellationToken);
if (internalCommand != null)
{
internalCommand.ProcessedDate = DateTime.UtcNow;
}
}
await this._unitOfWork.CommitAsync(cancellationToken);
return Unit.Value;
}
Authentication
Authentication is implemented using JWT Token and Bearer scheme using IdentityServer. For now, only one authentication method is implemented: forms style authentication (username and password) via the OAuth2 Resource Owner Password Grant Type. It requires implementation of the IResourceOwnerPasswordValidator
interface:
public class ResourceOwnerPasswordValidator : IResourceOwnerPasswordValidator
{
private readonly IUserAccessModule _userAccessModule;
public ResourceOwnerPasswordValidator(IUserAccessModule userAccessModule)
{
_userAccessModule = userAccessModule;
}
public async Task ValidateAsync(ResourceOwnerPasswordValidationContext context)
{
var authenticationResult = await _userAccessModule.ExecuteCommandAsync(new AuthenticateCommand(context.UserName, context.Password));
if (!authenticationResult.IsAuthenticated)
{
context.Result = new GrantValidationResult(
TokenRequestErrors.InvalidGrant,
authenticationResult.AuthenticationError);
return;
}
context.Result = new GrantValidationResult(
authenticationResult.User.Id.ToString(),
"forms",
authenticationResult.User.Claims);
}
}
Authorization
Authorization is achieved by implementing RBAC (Role Based Access Control) using Permissions. Permissions are more granular and a much better way to secure your application than Roles alone. Each User has a set of Roles and each Role contains one or more Permission. The User's set of Permissions is extracted from all Roles the User belongs to. Permissions are always checked on Controller
level - never Roles:
[HttpPost]
[Route("")]
[HasPermission(MeetingsPermissions.ProposeMeetingGroup)]
public async Task<IActionResult> ProposeMeetingGroup(ProposeMeetingGroupRequest request)
{
await _meetingsModule.ExecuteCommandAsync(
new ProposeMeetingGroupCommand(
request.Name,
request.Description,
request.LocationCity,
request.LocationCountryCode));
return Ok();
}
Definition:
A unit test is an automated piece of code that invokes the unit of work being tested, and then checks some assumptions about a single end result of that unit. A unit test is almost always written using a unit testing framework. It can be written easily and runs quickly. It’s trustworthy, readable, and maintainable. It’s consistent in its results as long as production code hasn’t changed. Art of Unit Testing 2nd Edition Roy Osherove
Attributes of good unit test
- Automated
- Maitainable
- Runs very fast (in ms)
- Consistent, Deterministic (always the same result)
- Isolated from other tests
- Readable
- Can be executed by anyone
- Testing public API, not internal behavior (overspecification)
- Looks like production code
- Treated as production code
Implementation
Each unit test has 3 standard sections: Arrange, Act and Assert
1. Arrange
The Arrange section is responsible for preparing the Aggregate for testing the public method that we want to test. This public method is often called (from the unit tests perspective) the SUT (system under test).
Creating an Aggregate ready for testing involves calling one or more other public constructors/methods on the Domain Model. At first it may seem that we are testing too many things at the same time, but this is not true. We need to be one hundred percent sure that the Aggregate is in a state exactly as it will be in production. This can only be ensured when we:
- Use only public API of Domain Model
- Don't use InternalsVisibleToAttribute class
- This exposes the Domain Model to the Unit Tests library, removing encapsulation so our tests and production code are treated differently and it is a very bad thing
- Don't use ConditionalAttribute classes - it reduces readability and increases complexity
- Don't create any special constructors/factory methods for tests (even with conditional compilation symbols)
- Special constructor/factory method only for unit tests causes duplication of business logic in the test itself and focuses on state - this kind of approach causes the test to be very sensitive to changes and hard to maintain
- Don't remove encapsulation from Domain Model (for example: change keywords from
internal
/private
topublic
) - Don't make methods
protected
to inherit from tested class and in this way provide access to internal methods/properties
Isolation of external dependencies
There are 2 main concepts - stubs and mocks:
A stub is a controllable replacement for an existing dependency (or collaborator) in the system. By using a stub, you can test your code without dealing with the dependency directly.
A mock object is a fake object in the system that decides whether the unit test has passed or failed. It does so by verifying whether the object under test called the fake object as expected. There’s usually no more than one mock per test. Art of Unit Testing 2nd Edition Roy Osherove
Good advice: use stubs if you need to, but try to avoid mocks. Mocking causes us to test too many internal things and leads to overspecification.
2. Act
This section is very easy - we execute exactly one public method on aggregate (SUT).
3. Assert
In this section we check expectations. There are only 2 possible outcomes:
- Method completed and Domain Event(s) published
- Business rule was broken
Simple example:
[Test]
public void NewUserRegistration_WithUniqueLogin_IsSuccessful()
{
// Arrange
var usersCounter = Substitute.For<IUsersCounter>();
// Act
var userRegistration =
UserRegistration.RegisterNewUser(
"login", "password", "test@email",
"firstName", "lastName", usersCounter);
// Assert
var newUserRegisteredDomainEvent = AssertPublishedDomainEvent<NewUserRegisteredDomainEvent>(userRegistration);
Assert.That(newUserRegisteredDomainEvent.UserRegistrationId, Is.EqualTo(userRegistration.Id));
}
[Test]
public void NewUserRegistration_WithoutUniqueLogin_BreaksUserLoginMustBeUniqueRule()
{
// Arrange
var usersCounter = Substitute.For<IUsersCounter>();
usersCounter.CountUsersWithLogin("login").Returns(x => 1);
// Assert
AssertBrokenRule<UserLoginMustBeUniqueRule>(() =>
{
// Act
UserRegistration.RegisterNewUser(
"login", "password", "test@email",
"firstName", "lastName", usersCounter);
});
}
Advanced example:
[Test]
public void AddAttendee_WhenMemberIsAlreadyAttendeeOfMeeting_IsNotPossible()
{
// Arrange
var creatorId = new MemberId(Guid.NewGuid());
var meetingTestData = CreateMeetingTestData(new MeetingTestDataOptions
{
CreatorId = creatorId
});
var newMemberId = new MemberId(Guid.NewGuid());
meetingTestData.MeetingGroup.JoinToGroupMember(newMemberId);
meetingTestData.Meeting.AddAttendee(meetingTestData.MeetingGroup, newMemberId, 0);
// Assert
AssertBrokenRule<MemberCannotBeAnAttendeeOfMeetingMoreThanOnceRule>(() =>
{
// Act
meetingTestData.Meeting.AddAttendee(meetingTestData.MeetingGroup, newMemberId, 0);
});
}
CreateMeetingTestData
method is an implementation of SUT Factory described by Mark Seemann which allows keeping common creation logic in one place:
protected MeetingTestData CreateMeetingTestData(MeetingTestDataOptions options)
{
var proposalMemberId = options.CreatorId ?? new MemberId(Guid.NewGuid());
var meetingProposal = MeetingGroupProposal.ProposeNew(
"name", "description",
new MeetingGroupLocation("Warsaw", "PL"), proposalMemberId);
meetingProposal.Accept();
var meetingGroup = meetingProposal.CreateMeetingGroup();
meetingGroup.UpdatePaymentInfo(DateTime.Now.AddDays(1));
var meetingTerm = options.MeetingTerm ??
new MeetingTerm(DateTime.UtcNow.AddDays(1), DateTime.UtcNow.AddDays(2));
var rsvpTerm = options.RvspTerm ?? Term.NoTerm;
var meeting = meetingGroup.CreateMeeting("title",
meetingTerm,
"description",
new MeetingLocation("Name", "Address", "PostalCode", "City"),
options.AttendeesLimit,
options.GuestsLimit,
rsvpTerm,
MoneyValue.Zero,
new List<MemberId>(),
proposalMemberId);
DomainEventsTestHelper.ClearAllDomainEvents(meetingGroup);
return new MeetingTestData(meetingGroup, meeting);
}
List of technologies, frameworks and libraries used for implementation:
- .NET Core 2.2 (platform)
- MS SQL Server Express (database)
- Entity Framework Core 2.2 (ORM Write Model implementation for DDD)
- Autofac (Inversion of Control Container)
- IdentityServer4 (Authentication and Authorization)
- Serilog (structured logging)
- Hellang.Middleware.ProblemDetails (API Problem Details support)
- Swashbuckle (Swagger automated documentation)
- Dapper (micro ORM for Read Model)
- Newtonsoft.Json (serialization/deserialization to/from JSON)
- Quartz.NET (background processing)
- FluentValidation (data validation)
- MediatR (mediator implementation)
- Postman (API tests)
- NUnit (Testing framework)
- NSubstitute (Testing isolation framework)
- Visual Paradigm Community Edition (CASE tool for modeling and documentation)
-
Download and install .NET Core 2.2 SDK
-
Download and install MS SQL Server Express or other
-
Create an empty database and run InitializeDatabase.sql script
- 2 test users will be created - check the script for usernames and passwords
-
Set a database connection string called
MeetingsConnectionString
in the root of the API project's appsettings.json or use SecretsExample config setting in appsettings.json for a database called
ModularMonolith
:{ "MeetingsConnectionString": "Server=(localdb)\\mssqllocaldb;Database=ModularMonolith;Trusted_Connection=True;" }
-
Set the Startup Item in your IDE to the API Project, not IIS Express
-
Once it is running you'll need a token to make API calls. This is done via OAuth2 Resource Owner Password Grant Type. By default IdentityServer is configured with the following:
client_id = ro.client
client_secret = secret
(this is literally the value - not a statement that this value is secret!)scope = myMeetingsAPI openid profile
grant_type = password
Include the credentials of a test user created in the InitializeDatabase.sql script - for example:
username = testMember@mail.com
password = testMemberPass
Example HTTP Request for an Access Token:
POST /connect/token HTTP/1.1
Host: localhost:5000
grant_type=password
&username=testMember@mail.com
&password=testMemberPass
&client_id=ro.client
&client_secret=secret
This will fetch an access token for this user to make authorized API requests using the HTTP request header Authorization: Bearer <access_token>
If you use a tool such as Postman to test your API, the token can be fetched and stored within the tool itself and appended to all API calls. Check your tool documentation for instructions.
This project is still under analysis and development. I assume its maintenance for a long time and I would appreciate your contribution to it. Please let me know by creating an Issue or Pull Request.
List of features/tasks/approaches to add:
Name | Priority | Status | Release date |
---|---|---|---|
Domain Model Unit Tests | High | Completed | 2019-09-10 |
API automated tests | Normal | ||
FrontEnd SPA application | Normal | ||
Meeting comments feature | Low | ||
Notifications feature | Low | ||
Messages feature | Low | ||
Migration to .NET Core 3.0 | Low | ||
More advanced Payments module | Low |
NOTE: Please don't hesitate to suggest something else or a change to the existing code. All proposals will be considered.
Kamil Grzybek
Blog: https://kamilgrzybek.com
Twitter: https://twitter.com/kamgrzybek
LinkedIn: https://www.linkedin.com/in/kamilgrzybek/
GitHub: https://github.com/kgrzybek
The project is under MIT license.
- "Modular Monoliths" presentation, Simon Brown
- "Majestic Modular Monoliths" presentation, Axel Fontaine
- "Building Better Monoliths – Modulithic Applications with Spring Boot" slides, Oliver Drotbohm
- "MonolithFirst" article, Martin Fowler
- "Pattern: Monolithic Architecture" pattern description, Chris Richardson
- "Domain-Driven Design: Tackling Complexity in the Heart of Software" book, Eric Evans
- "Implementing Domain-Driven Design" book, Vaughn Vernon
- "Domain-Driven Design Distilled" book, Vaughn Vernon
- "Patterns, Principles, and Practices of Domain-Driven Design" book, Scott Millett, Nick Tune
- "Secure By Design" book, Daniel Deogun, Dan Bergh Johnsson, Daniel Sawano
- "Hands-On Domain-Driven Design with .NET Core: Tackling complexity in the heart of software by putting DDD principles into practice" book, Alexey Zimarev
- "Domain Modeling Made Functional: Tackle Software Complexity with Domain-Driven Design and F#" book, Scott Wlaschin
- "DDD by examples - library" GH repository, Jakub Pilimon, Bartłomiej Słota
- "IDDD_Samples" GH repository, Vaughn Vernon
- "IDDD_Samples_NET" GH repository, Vaughn Vernon
- "Awesome Domain-Driven Design" GH repository, Nick Chamberlain
- "Patterns of Enterprise Application Architecture" book, Martin Fowler
- "Dependency Injection Principles, Practices, and Patterns" book, Steven van Deursen, Mark Seemann
- "Clean Architecture: A Craftsman's Guide to Software Structure and Design (Robert C. Martin Series" book, Robert C. Martin
- "The Clean Architecture" article, Robert C. Martin
- "The Onion Architecture" article series, Jeffrey Palermo
- "Hexagonal/Ports & Adapters Architecture" article, Alistair Cockburn
- "DDD, Hexagonal, Onion, Clean, CQRS, … How I put it all together" article, Herberto Graca
- "Software Architecture in Practice (3rd Edition)" book, Len Bass, Paul Clements, Rick Kazman
- "Software Architecture for Developers Vol 1 & 2" book, Simon Brown
- "Just Enough Software Architecture: A Risk-Driven Approach" book, George H. Fairbanks
- "Software Systems Architecture: Working With Stakeholders Using Viewpoints and Perspectives (2nd Edition)" book, Nick Rozanski, Eóin Woods
- "Design It!: From Programmer to Software Architect (The Pragmatic Programmers)" book, Michael Keeling
- "Enterprise Integration Patterns : Designing, Building, and Deploying Messaging Solutions" book and catalogue, Gregor Hohpe, Bobby Woolf
- "Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems " book, Martin Kleppman
- "Building Evolutionary Architectures: Support Constant Change" book, Neal Ford
- "Building Microservices: Designing Fine-Grained Systems" book, Sam Newman
- "Refactoring: Improving the Design of Existing Code" book, Martin Fowler, Kent Beck, John Brant, William Opdyke, Don Roberts
- "Clean Code: A Handbook of Agile Software Craftsmanship" book, Robert C. Martin
- "Agile Principles, Patterns, and Practices in C#" book, Robert C. Martin
- "Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition)" book, Craig Larman
- "Working Effectively with Legacy Code" book, Michael Feathers
- "Code Complete: A Practical Handbook of Software Construction, Second Edition" book, Steve McConnell
- "Design Patterns: Elements of Reusable Object-Oriented Software" book, Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides
- "The Clean Coder: A Code of Conduct for Professional Programmers" book, Robert C. Martin
- "The Pragmatic Programmer: From Journeyman to Master" book, Andrew Hunt
- "The Art of Unit Testing: with examples in C#" book, Roy Osherove
- "UML Distilled: A Brief Guide to the Standard Object Modeling Language (3rd Edition)" book, Martin Fowler
- "Introducing EventStorming" book, Alberto Brandolini
- "Awesome EventStorming" GH repository, Mariusz Gil