Any HTTP (error) status code 401 "UNAUTHORIZED" is supposed to also return a `WWW-Authenticate` header.

    In the case of bearer tokens (our case), the value of that header should be `Bearer`.

    You can actually skip that extra header and it would still work.

    But it's provided here to be compliant with the specifications.

    ```

=== "Python 3.8+"

    ```Python hl_lines="9"
    {!> ../../../docs_src/query_params_str_validations/tutorial002.py!}
    ```

!!! tip
    If you want something quick to copy and paste, don't use this example, use the last one below.

Then, when you create an instance of that `Settings` class (in this case, in the `settings` object), Pydantic will read the environment variables in a case-insensitive way, so, an upper-case variable `APP_NAME` will still be read for the attribute `app_name`.

In this case, if you had **multiple containers**, by default, when Prometheus came to **read the metrics**, it would get the ones for **a single container each time** (for the container that handled that particular request), instead of getting the **accumulated metrics** for all the replicated containers.

```

### ✍ `Base` 🎓

🔜 👥 🔜 ⚙️ 🔢 `declarative_base()` 👈 📨 🎓.

⏪ 👥 🔜 😖 ⚪️➡️ 👉 🎓 ✍ 🔠 💽 🏷 ⚖️ 🎓 (🐜 🏷):

```Python hl_lines="13"
{!../../../docs_src/sql_databases/sql_app/database.py!}
```

## ✍ 💽 🏷

➡️ 🔜 👀 📁 `sql_app/models.py`.

### ✍ 🇸🇲 🏷 ⚪️➡️ `Base` 🎓

👥 🔜 ⚙️ 👉 `Base` 🎓 👥 ✍ ⏭ ✍ 🇸🇲 🏷.

!!! tip

    logging.info("Pushing branch")
    subprocess.run(["git", "push", "origin", branch_name], check=True)
    logging.info("Creating PR")
    pr = repo.create_pull(title=message, body=message, base="master", head=branch_name)
    logging.info(f"Created PR: {pr.number}")

!!! info "技術詳細"
    **FastAPI**は、`OAuth2PasswordBearer` クラス (依存関係で宣言されている) を使用してOpenAPIのセキュリティスキームを定義できることを知っています。これは`fastapi.security.oauth2.OAuth2`、`fastapi.security.base.SecurityBase`を継承しているからです。

    OpenAPIと統合するセキュリティユーティリティ (および自動APIドキュメント) はすべて`SecurityBase`を継承しています。それにより、**FastAPI**はそれらをOpenAPIに統合する方法を知ることができます。

## どのように動作するか

```

#### Raspberry Pi e outras arquiteturas

Se você estiver rodando Docker em um Raspberry Pi (que possui um processador ARM) ou qualquer outra arquitetura, você pode criar um `Dockerfile` do zero, baseado em uma imagem base Python (que é multi-arquitetural) e utilizar Uvicorn sozinho.

Nesse caso, seu `Dockerfile` poderia parecer assim:

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

---

If you are using a third party library that communicates with something (a database, an API, the file system, etc.) and doesn't have support for using `await`, (this is currently the case for most database libraries), then declare your *path operation functions* as normally, with just `def`, like:

```Python hl_lines="2"
@app.get('/')
def results():
    results = some_library()
    return results
```

In this case, we pass a dependency function `get_current_active_user` to `Security` (the same way we would do with `Depends`).

But we also pass a `list` of scopes, in this case with just one scope: `items` (it could have more).