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.model_validate(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors(include_url=False))

        model_config = {"from_attributes": True}

    app = FastAPI()

    @app.post("/people/", response_model=PersonRead)
    def create_person(person: PersonCreate) -> Any:
        db_person = Person.model_validate(person)
        return db_person

    client = TestClient(app)

    person_data = {"name": "Dive", "lastname": "Wilson"}
    response = client.post("/people/", json=person_data)
    data = response.json()

    )
    graphql_response = DiscussionsResponse.model_validate(data)
    return graphql_response.data.repository.discussions.edges


def get_graphql_pr_edges(*, settings: Settings, after: Union[str, None] = None):
    data = get_graphql_response(settings=settings, query=prs_query, after=after)
    graphql_response = PRsResponse.model_validate(data)
    return graphql_response.data.repository.pullRequests.edges

    ```

!!! 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 re-use the same Pydantic model.

    ```

!!! 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.