//// tab | Pydantic v2

```Python hl_lines="17-22  24"
{!> ../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

////

//// tab | Pydantic v1

```Python hl_lines="17-22  24"

        # TODO: remove when deprecating Pydantic v1
        "Param(Ellipsis)",
    )


def test_param_repr_number():
    assert repr(Param(1)) == "Param(1)"


def test_param_repr_list():
    assert repr(Param([])) == "Param([])"


def test_path_repr():
    assert repr(Path()) == IsOneOf(
        "Path(PydanticUndefined)",
        # TODO: remove when deprecating Pydantic v1
        "Path(Ellipsis)",
    )

    "name": "Foo",
    "price": 50.2
}
```

/// info

In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie deprecated (aber immer noch unterstützt) und in `.model_dump()` umbenannt.

Die Beispiele hier verwenden `.dict()` für die Kompatibilität mit Pydantic v1, Sie sollten jedoch stattdessen `.model_dump()` verwenden, wenn Sie Pydantic v2 verwenden können.

///

/// info

    "price": 50.2
}
```

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

/// info

Ce qui améliore le support pour les modèles Pydantic avec :

* de l'auto-complétion
* des vérifications de type
* du "refactoring" (ou remaniement de code)
* de la recherche
* de l'inspection

## `response_model` 🔢

📤 💼 🌐❔ 👆 💪 ⚖️ 💚 📨 💽 👈 🚫 ⚫️❔ ⚫️❔ 🆎 📣.

🖼, 👆 💪 💚 **📨 📖** ⚖️ 💽 🎚, ✋️ **📣 ⚫️ Pydantic 🏷**. 👉 🌌 Pydantic 🏷 🔜 🌐 💽 🧾, 🔬, ♒️. 🎚 👈 👆 📨 (✅ 📖 ⚖️ 💽 🎚).

🚥 👆 🚮 📨 🆎 ✍, 🧰 & 👨‍🎨 🔜 😭 ⏮️ (☑) ❌ 💬 👆 👈 👆 🔢 🛬 🆎 (✅#️⃣) 👈 🎏 ⚪️➡️ ⚫️❔ 👆 📣 (✅ Pydantic 🏷).

📚 💼, 👆 💪 ⚙️ *➡ 🛠️ 👨‍🎨* 🔢 `response_model` ↩️ 📨 🆎.

👆 💪 ⚙️ `response_model` 🔢 🙆 *➡ 🛠️*:

* `@app.get()`

* 100% аннотирование типов в кодовой базе.

## Особенности и возможности Pydantic

**FastAPI** основан на <a href="https://docs.pydantic.dev/" class="external-link" target="_blank"><strong>Pydantic</strong></a> и полностью совместим с ним. Так что, любой дополнительный код Pydantic, который у вас есть, будет также работать.

                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["query", "query"],
                    "msg": "field required",
                    "type": "value_error.missing",
                }

Here are several ways to do it.

## Extra JSON Schema data in Pydantic models

You can declare `examples` for a Pydantic model that will be added to the generated JSON Schema.

//// tab | Python 3.10+ Pydantic v2

```Python hl_lines="13-24"
{!> ../../docs_src/schema_extra_example/tutorial001_py310.py!}
```

////

//// tab | Python 3.10+ Pydantic v1

```Python hl_lines="13-23"

    return client


# TODO: remove when deprecating Pydantic v1
@needs_pydanticv1
@needs_py39
def test_post_body_form(client: TestClient):
    response = client.post("/login/", data={"username": "Foo", "password": "secret"})
    assert response.status_code == 200
    assert response.json() == {"username": "Foo", "password": "secret"}


# TODO: remove when deprecating Pydantic v1
@needs_pydanticv1
@needs_py39