NOTE: This repository is an example to explain 'how to implement DDD architecture on a Python web application'. If you will to use this as a reference, add your implementation of authentication and security before deploying to the real world!!

• My blog post: https://iktakahiro.dev/python-ddd-onion-architecture

• FastAPI
• SQLAlchemy
  • SQLite
• Poetry
• Docker

Directory structure (based on Onion Architecture):

├── main.py
├── dddpy
│   ├── domain
│   │   └── book
│   ├── infrastructure
│   │   └── sqlite
│   │       ├── book
│   │       └── database.py
│   ├── presentation
│   │   └── schema
│   │       └── book
│   └── usecase
│       └── book
└── tests

To represent an Entity in Python, use __eq__() method to ensure the object's itendity.

• book.py

class Book:
    def __init__(self, id: str, title: str):
        self.id: str = id
        self.title: str = title

    def __eq__(self, o: object) -> bool:
        if isinstance(o, Book):
            return self.id == o.id

        return False

To represent a Value Object, use @dataclass decorator with eq=True and frozen=True.

The following code implements a book's ISBN code as a Value Object.

• isbn.py

@dataclass(init=False, eq=True, frozen=True)
class Isbn:
    value: str

    def __init__(self, value: str):
        if !validate_isbn(value):
            raise ValueError("value should be valid ISBN format.")

        object.__setattr__(self, "value", value)

DTO (Data Transfer Object) is a good practice to isolate domain objects from the infrastructure layer.

On a minimum MVC architecture, models often inherit a base class provided by an O/R Mapper. But in that case, the domain layer would be dependent on the outer layer.

To solve this problem, we can set two rules:

1. Domain layer classes (such as an Entity or a Value Object) DO NOT extend SQLAlchemy Base class.
2. Data transfer Objects extend the O/R mapper class.
   • book_dto.py

CQRS (Command and Query Responsibility Segregation) pattern is useful

• Read model and Write model
  1. Define read models and write models in the usecase layer
     • book_query_model.py
     • book_command_model.py
• Query
  1. Define query service interfaces in the usecase layer
     • book_query_service.py (interface)
  2. Implement query service implimentations in the infrastructure layer
     • book_query_service.py
• Command
  1. Define repository interfaces in the domain layer
     • book_repository.py (interface)
  2. Implement repository implimentations in the infrastructure layer
     • book_repository.py
• Usecase
  1. Usecases depend on repository interfaces or query service interfaces.
     • book_query_usecase.py
     • book_command_usecase.py
  2. Usecases return an instance of read|write model to a main routine.

Even if we succeed in isolating the domain layer, some issues remain. One of them is how to manage transactions.

UoW (Unit of Work) Pattern can be the solution.

First, define an interface base on UoW pattern in the usecase layer. begin(), commit() and rollback() methods are related a transaction management.

• book_command_usecase.py

class BookCommandUseCaseUnitOfWork(ABC):
    book_repository: BookRepository

    @abstractmethod
    def begin(self):
        raise NotImplementedError

    @abstractmethod
    def commit(self):
        raise NotImplementedError

    @abstractmethod
    def rollback(self):
        raise NotImplementedError

Second, implement a class of the infrastructure layer using the above interface.

• book_repository.py

class BookCommandUseCaseUnitOfWorkImpl(BookCommandUseCaseUnitOfWork):
    def __init__(
        self,
        session: Session,
        book_repository: BookRepository,
    ):
        self.session: Session = session
        self.book_repository: BookRepository = book_repository

    def begin(self):
        self.session.begin()

    def commit(self):
        self.session.commit()

    def rollback(self):
        self.session.rollback()

session property is a session of SQLAlchemy,

1. Clone and open this repository using VSCode
2. Run Remote-Container
3. Run make dev on the Docker container terminal
4. Access the API document https://127.0.0.1:8000/docs

• Create a new book:

curl --location --request POST 'localhost:8000/books' \
--header 'Content-Type: application/json' \
--data-raw '{
    "isbn": "978-0321125217",
    "title": "Domain-Driven Design: Tackling Complexity in the Heart of Software",
    "page": 560
}'

• Response of the POST request:

{
    "id": "HH9uqNdYbjScdiLgaTApcS",
    "isbn": "978-0321125217",
    "title": "Domain-Driven Design: Tackling Complexity in the Heart of Software",
    "page": 560,
    "read_page": 0,
    "created_at": 1614007224642,
    "updated_at": 1614007224642
}

• Get books:

curl --location --request GET 'localhost:8000/books'

• Response of the GET request:

[
    {
        "id": "e74R3Prx8SfcY8KJFkGVf3",
        "isbn": "978-0321125217",
        "title": "Domain-Driven Design: Tackling Complexity in the Heart of Software",
        "page": 560,
        "read_page": 0,
        "created_at": 1614006055213,
        "updated_at": 1614006055213
    }
]