# Note that numpy 2.1.0 does not support python 3.9
numpy >= 2.0.0, < 2.2.0
wheel ~= 0.41.2
h5py >= 3.11.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

⚫️ 🔜:

* 📨 👈 👔 📟 📨.
* 📄 ⚫️ ✅ 🗄 🔗 ( & , 👩‍💻 🔢):

<img src="/img/tutorial/response-status-code/image01.png">

/// note

📨 📟 (👀 ⏭ 📄) 🎦 👈 📨 🔨 🚫 ✔️ 💪.

FastAPI 💭 👉, &amp; 🔜 🏭 🗄 🩺 👈 🇵🇸 📤 🙅‍♂ 📨 💪.

///

## 🔃 🇺🇸🔍 👔 📟

/// note

🚥 👆 ⏪ 💭 ⚫️❔ 🇺🇸🔍 👔 📟, 🚶 ⏭ 📄.

///

🇺🇸🔍, 👆 📨 🔢 👔 📟 3️⃣ 9️⃣ 🍕 📨.

👫 👔 📟 ✔️ 📛 🔗 🤔 👫, ✋️ ⚠ 🍕 🔢.

<img src="/img/tutorial/response-status-code/image01.png">

/// note | "Hinweis"

Einige Responsecodes (siehe nächster Abschnitt) kennzeichnen, dass die Response keinen Body hat.

FastAPI versteht das und wird in der OpenAPI-Dokumentation anzeigen, dass es keinen Responsebody gibt.

///

## Über HTTP-Statuscodes

/// note | "Hinweis"

<img src="/img/tutorial/response-status-code/image01.png">

/// note | "Примечание"

Некоторые коды статуса ответа (см. следующий раздел) указывают на то, что ответ не имеет тела.

FastAPI знает об этом и создаст документацию OpenAPI, в которой будет указано, что тело ответа отсутствует.

///

## Об HTTP кодах статуса ответа

/// note | "Примечание"

```

O parâmetro de consulta `q` é do tipo `Union[str, None]`, o que significa que é do tipo `str` mas que também pode ser `None`, e de fato, o valor padrão é `None`, então o FastAPI saberá que não é obrigatório.

/// note | "Observação"

O FastAPI saberá que o valor de `q` não é obrigatório por causa do valor padrão `= None`.

participant dep as Dep with yield
participant operation as Path Operation
participant tasks as Background tasks

    Note over client,tasks: Can raise exception for dependency, handled after response is sent
    Note over client,operation: Can raise HTTPException and can change the response
    client ->> dep: Start request
    Note over dep: Run code up to yield
    opt raise
        dep -->> handler: Raise HTTPException

   * the first is returned.
   *
   * <p><b>Implementation note:</b> this method is invoked by the default implementations of the
   * other {@code min} overloads, so overriding it will affect their behavior.
   *
   * <p><b>Note:</b> Consider using {@code Comparators.min(a, b, thisComparator)} instead. If {@code

```Python hl_lines="4  11  15-18"
{!../../docs_src/templates/tutorial001.py!}
```

/// note

👀 👈 👆 ✔️ 🚶‍♀️ `request` 🍕 🔑-💲 👫 🔑 Jinja2️⃣. , 👆 ✔️ 📣 ⚫️ 👆 *➡ 🛠️*.

///

/// tip

📣 `response_class=HTMLResponse` 🩺 🎚 🔜 💪 💭 👈 📨 🔜 🕸.

///

/// note | "📡 ℹ"

👆 💪 ⚙️ `from starlette.templating import Jinja2Templates`.

astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.18.0.a

## Importe `Field`

Primeiro, você tem que importá-lo:

```Python hl_lines="4"
{!../../docs_src/body_fields/tutorial001.py!}
```

/// warning | "Aviso"

Note que `Field` é importado diretamente do `pydantic`, não do `fastapi` como todo o resto (`Query`, `Path`, `Body`, etc).

///

## Declare atributos do modelo

Você pode então utilizar `Field` com atributos do modelo: