## `python-jose` installieren.

Wir müssen <abbr title="JOSE: JavaScript Object Signing and Encryption">`python-jose`</abbr> installieren, um die JWT-Tokens in Python zu generieren und zu verifizieren:

<div class="termy">

```console
$ pip install "python-jose[cryptography]"

---> 100%
```

</div>

```JSON
{"item_id":3}
```

/// check | Revisa

Nota que el valor que tu función recibió (y devolvió) es `3`, como un `int` de Python, no un string `"3"`.

Entonces, con esa declaración de tipo, **FastAPI** te ofrece <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr> automático de requests.

///

## Validación de datos

//// tab | Python 3.10+

В Python 3.9 или выше, `Annotated` является частью стандартной библиотеки, таким образом вы можете импортировать его из `typing`.

```Python hl_lines="1  3"
{!> ../../docs_src/query_params_str_validations/tutorial002_an_py310.py!}
```

////

//// tab | Python 3.8+

        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v5
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: ${{ matrix.python-version }}
      - name: Setup uv
        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true

# 📨 📁

👆 💪 🔬 📁 📂 👩‍💻 ⚙️ `File`.

/// info

📨 📂 📁, 🥇 ❎ <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

🤶 Ⓜ. `pip install python-multipart`.

👉 ↩️ 📂 📁 📨 "📨 💽".

///

## 🗄 `File`

🗄 `File` &amp; `UploadFile` ⚪️➡️ `fastapi`:

{* ../../docs_src/request_files/tutorial001.py hl[1] *}

## 🔬 `File` 🔢

```

/// check | Verifique



///

	Observe que o valor recebido pela função (e também retornado por ela) é `3`, como um Python `int`, não como uma string `"3"`.

	Então, com essa declaração de tipo, o **FastAPI** dá pra você um <abbr title="convertendo a string que veio do request HTTP em um dado Python">"parsing"</abbr> automático no request .

## Validação de dados

# system gcc paths that we do not want to find.
# TODO(klimek): Automate linking in all non-gcc / non-kernel include
# directories.
mkdir -p "/${TARGET}/usr/include/x86_64-linux-gnu"
PYTHON_VERSIONS=("python3.9" "python3.10" "python3.11" "python3.12")
for v in "${PYTHON_VERSIONS[@]}"; do
  ln -s "/usr/local/include/${v}" "/${TARGET}/usr/include/x86_64-linux-gnu/${v}"
done

# Patch glibc to be compatable with modern clang

      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v5
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |

      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v5
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |

Но переменная вроде `user-agent` недопустима в Python.

По умолчанию `Header` преобразует символы имен параметров из символа подчеркивания (`_`) в дефис (`-`) для извлечения и документирования заголовков.

Кроме того, HTTP-заголовки не чувствительны к регистру, поэтому вы можете объявить их в стандартном стиле Python (также известном как "snake_case").