)
    response = AddCommentResponse.parse_obj(data)
    return response.data.addDiscussionComment.comment


def update_comment(*, settings: Settings, comment_id: str, body: str):
    data = get_graphql_response(
        settings=settings,
        query=update_comment_mutation,
        comment_id=comment_id,
        body=body,
    )
    response = UpdateCommentResponse.parse_obj(data)

    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.parse_obj(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors())

```Python hl_lines="26-33"
{!> ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
```

////

/// info

In Pydantic version 1 the method to parse and validate an object was `Item.parse_obj()`, in Pydantic version 2, the method is called `Item.model_validate()`.

///

/// tip

Here we reuse the same Pydantic model.

But the same way, we could have validated it in some other way.

```Python hl_lines="26-33"
{!> ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
```

////

/// info

In Pydantic Version 1 war die Methode zum Parsen und Validieren eines Objekts `Item.parse_obj()`, in Pydantic Version 2 heißt die Methode `Item.model_validate()`.

///

/// tip | "Tipp"

Hier verwenden wir dasselbe Pydantic-Modell wieder.