return f"{self.name} {self.lastname}"

        class Config:
            orm_mode = True
            read_with_orm_mode = True

    class PersonCreate(PersonBase):
        pass

    class PersonRead(PersonBase):
        full_name: str

        class Config:
            orm_mode = True

    app = FastAPI()

    @app.post("/people/", response_model=PersonRead)

## _Cluster_ de Docker Swarm Mode com Traefik e HTTPS

Você pode ter um _cluster_ de Docker Swarm Mode configurado em minutos (cerca de 20) com o Traefik controlando HTTPS (incluindo aquisição e renovação de certificados).

Utilizando o Docker Swarm Mode, você pode iniciar com um _"cluster"_ de apenas uma máquina (que pode até ser um servidor por 5 dólares / mês) e então você pode aumentar conforme a necessidade adicionando mais servidores.

class Item(ItemBase):
    id: int
    owner_id: int

    class Config:
        orm_mode = True


class UserBase(BaseModel):
    email: str


class UserCreate(UserBase):
    password: str


class User(UserBase):
    id: int
    is_active: bool
    items: List[Item] = []

    class Config:

from fastapi import FastAPI

app = FastAPI()


@app.on_event("shutdown")
def shutdown_event():
    with open("log.txt", mode="a") as log:
        log.write("Application shutdown")


@app.get("/items/")
async def read_items():

## Cluster en mode Docker Swarm avec Traefik et HTTPS

Vous pouvez avoir un cluster en mode Docker Swarm configuré en quelques minutes (environ 20 min) avec un processus Traefik principal gérant HTTPS (y compris l'acquisition et le renouvellement des certificats).

En utilisant le mode Docker Swarm, vous pouvez commencer par un "cluster" d'une seule machine (il peut même s'agir

class Item(ItemBase):
    id: int
    owner_id: int

    class Config:
        orm_mode = True


class UserBase(BaseModel):
    email: str


class UserCreate(UserBase):
    password: str


class User(UserBase):
    id: int
    is_active: bool
    items: list[Item] = []

    class Config:

!!! note
    Notice that most of the code is the standard `SQLAlchemy` code you would use with any framework.

    The **FastAPI** specific code is as small as always.

## ORMs

**FastAPI** works with any database and any style of library to talk to the database.

from fastapi import BackgroundTasks, Depends, FastAPI

app = FastAPI()


def write_log(message: str):
    with open("log.txt", mode="a") as log:
        log.write(message)


def get_query(background_tasks: BackgroundTasks, q: str | None = None):
    if q:
        message = f"found query: {q}\n"
        background_tasks.add_task(write_log, message)
    return q


@app.post("/send-notification/{email}")

### ⚙️ Pydantic `orm_mode`

🔜, Pydantic *🏷* 👂, `Item` & `User`, 🚮 🔗 `Config` 🎓.

👉 <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">`Config`</a> 🎓 ⚙️ 🚚 📳 Pydantic.

`Config` 🎓, ⚒ 🔢 `orm_mode = True`.

=== "🐍 3️⃣.6️⃣ &amp; 🔛"

    ```Python hl_lines="15  19-20  31  36-37"

    Type[BaseModel], Type[BaseModel]
] = WeakKeyDictionary()


def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
    if status_code is None:
        return True
    # Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
    if status_code in {
        "default",
        "1XX",
        "2XX",
        "3XX",
        "4XX",
        "5XX",