def lower_username(cls, name: str, info: ValidationInfo):
            if not name.endswith("A"):
                raise ValueError("name must end in A")
            return name

    async def get_model_c() -> ModelC:
        return ModelC(username="test-user", password="test-password")

    @app.get("/model/{name}", response_model=ModelA)
    async def get_model_a(name: str, model_c=Depends(get_model_c)):

  - link: /it/
    name: it - italiano
  - link: /ja/
    name: ja - 日本語
  - link: /ko/
    name: ko - 한국어
  - link: /pl/
    name: pl - Polski
  - link: /pt/
    name: pt - português
  - link: /ru/
    name: ru - русский язык
  - link: /tr/
    name: tr - Türkçe
  - link: /uk/
    name: uk - українська мова
  - link: /ur/
    name: ur - اردو
  - link: /vi/
    name: vi - Tiếng Việt

    // Sie könnten eine Umgebungsvariable MY_NAME erstellen mittels
    $ export MY_NAME="Wade Wilson"

    // Dann könnten Sie diese mit anderen Programmen verwenden, etwa
    $ echo "Hello $MY_NAME"

    Hello Wade Wilson
    ```

    </div>

=== "Windows PowerShell"

    <div class="termy">

    ```console
    // Erstelle eine Umgebungsvariable MY_NAME
    $ $Env:MY_NAME = "Wade Wilson"

        "components": {
            "schemas": {
                "Item": {
                    "title": "Item",
                    "required": ["name", "price"],
                    "type": "object",
                    "properties": {
                        "name": {"title": "Name", "type": "string"},
                        "description": IsDict(
                            {
                                "title": "Description",

        "components": {
            "schemas": {
                "Item": {
                    "title": "Item",
                    "required": ["name", "price"],
                    "type": "object",
                    "properties": {
                        "name": {"title": "Name", "type": "string"},
                        "description": IsDict(
                            {
                                "title": "Description",

                            "name": "item_id",
                            "in": "path",
                        },
                        {
                            "required": True,
                            "schema": {"title": "Needy", "type": "string"},
                            "name": "needy",
                            "in": "query",
                        },

name: Label Approved

on:
  schedule:
    - cron: "0 12 * * *"
  workflow_dispatch:

jobs:
  label-approved:
    if: github.repository_owner == 'tiangolo'
    runs-on: ubuntu-latest
    steps:
    - name: Dump GitHub context
      env:
        GITHUB_CONTEXT: ${{ toJson(github) }}
      run: echo "$GITHUB_CONTEXT"
    - uses: docker://tiangolo/label-approved:0.0.4
      with:
        token: ${{ secrets.FASTAPI_LABEL_APPROVED }}

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    },
    "user": {
        "username": "dave",
        "full_name": "Dave Grohl"
    }
}
```

!!! note "Hinweis"

name: Smokeshow

on:
  workflow_run:
    workflows: [Test]
    types: [completed]

permissions:
  statuses: write

jobs:
  smokeshow:
    if: ${{ github.event.workflow_run.conclusion == 'success' }}
    runs-on: ubuntu-latest

    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/setup-python@v5
        with:

    email="******@****.***",
    full_name=None,
)
```

Или, если для большей точности мы напрямую используем `user_dict` с любым потенциальным содержимым, то этот пример будет выглядеть так:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```