import mkdocs.utils
import typer
import yaml
from jinja2 import Template

logging.basicConfig(level=logging.INFO)

app = typer.Typer()

mkdocs_name = "mkdocs.yml"

missing_translation_snippet = """
{!../../../docs/missing-translation.md!}
"""

docs_path = Path("docs")
en_docs_path = Path("docs/en")
en_config_path: Path = en_docs_path / mkdocs_name
site_path = Path("site").absolute()

...without adding the required parameter `needy`, you will see an error like:

```JSON
{
  "detail": [
    {
      "type": "missing",
      "loc": [
        "query",
        "needy"
      ],
      "msg": "Field required",
      "input": null,
      "url": "https://errors.pydantic.dev/2.1/v/missing"
    }
  ]
}
```

As `needy` is a required parameter, you would need to set it in the URL:

```

```JSON
{
  "detail": [
    {
      "type": "missing",
      "loc": [
        "query",
        "needy"
      ],
      "msg": "Field required",
      "input": null,
      "url": "https://errors.pydantic.dev/2.1/v/missing"
    }
  ]
}
```

`needy` zorunlu bir parametre olduğundan dolayı bağlantıda tanımlanması gerekir:

```

    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",
                    "loc": ["body", "item2"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(

```JSON
{
  "detail": [
    {
      "type": "missing",
      "loc": [
        "query",
        "needy"
      ],
      "msg": "Field required",
      "input": null,
      "url": "https://errors.pydantic.dev/2.1/v/missing"
    }
  ]
}
```

Da `needy` ein erforderlicher Parameter ist, müssen Sie ihn in der URL setzen:

```

        return sequence_shape_to_type[field.shape](value)  # type: ignore[no-any-return,attr-defined]

    def get_missing_field_error(loc: Tuple[str, ...]) -> Dict[str, Any]:
        missing_field_error = ErrorWrapper(MissingError(), loc=loc)  # type: ignore[call-arg]
        new_error = ValidationError([missing_field_error], RequestErrorModel)
        return new_error.errors()[0]  # type: ignore[return-value]

    def create_body_model(

    Required,
    Undefined,
    _regenerate_error_with_loc,
    copy_field_info,
    create_body_model,
    evaluate_forwardref,
    field_annotation_is_scalar,
    get_annotation_from_field_info,
    get_missing_field_error,
    is_bytes_field,
    is_bytes_sequence_field,
    is_scalar_field,
    is_scalar_sequence_field,
    is_sequence_field,
    is_uploadfile_or_nonable_uploadfile_annotation,

```JSON
{
    "detail": [
        {
            "loc": [
                "query",
                "needy"
            ],
            "msg": "field required",
            "type": "value_error.missing"
        }
    ]
}
```

La présence de `needy` étant nécessaire, vous auriez besoin de l'insérer dans l'URL :

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

    def __str__(self):
        return self.uuid

    @property  # type: ignore
    def __class__(self):
        return uuid.UUID

    @property
    def __dict__(self):
        """Spoof a missing __dict__ by raising TypeError, this is how
        asyncpg.pgroto.pgproto.UUID behaves"""
        raise TypeError("vars() argument must have __dict__ attribute")


@needs_pydanticv2
def test_pydanticv2():

# Simple OAuth2 with Password and Bearer

Now let's build from the previous chapter and add the missing parts to have a complete security flow.

## Get the `username` and `password`

We are going to use **FastAPI** security utilities to get the `username` and `password`.

OAuth2 specifies that when using the "password flow" (that we are using) the client/user must send a `username` and `password` fields as form data.