{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

In diesem Beispiel wird das Pydantic-Modell in ein `dict`, und das `datetime`-Objekt in ein `str` konvertiert.

Das Resultat dieses Aufrufs ist etwas, das mit Pythons Standard-[`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps) kodiert werden kann.

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

En este ejemplo, convertiría el modelo de Pydantic a un `dict`, y el `datetime` a un `str`.

El resultado de llamarlo es algo que puede ser codificado con la función estándar de Python [`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps).

    assert response.status_code == 200, response.text
    assert response.json() == "a"


def test_b():
    response = client.get("/b")
    assert response.status_code == 200, response.text
    assert response.json() == "b"


def test_c():
    response = client.get("/c")
    assert response.status_code == 200, response.text
    assert response.json() == "c"


def test_d():
    response = client.get("/d")

@app.get("/a/{id}")
async def a(id):
    pass  # pragma: no cover


client = TestClient(app)


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == snapshot(
        {
            "openapi": "3.1.0",
            "info": {"title": "FastAPI", "version": "0.1.0"},
            "paths": {
                "/a/{id}": {

def test_get_api_route():
    response = client.get("/")
    assert response.status_code == 200, response.text
    assert response.json() == {"c": {}, "d": {"a": {}}}


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == snapshot(
        {
            "openapi": "3.1.0",
            "info": {"title": "FastAPI", "version": "0.1.0"},

    data = {"a": 2, "b": "foo"}
    response = client.post(path, json=data)
    assert response.status_code == 200, response.text
    assert data == response.json()


@pytest.mark.parametrize(
    "path", ["/a/compute", "/a/compute/", "/b/compute", "/b/compute/"]
)
def test_post_invalid(path):
    data = {"a": "bar", "b": "foo"}
    response = client.post(path, json=data)
    assert response.status_code == 422, response.text

    assert len(response.content)
    os.remove("./image.png")


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == snapshot(
        {
            "openapi": "3.1.0",
            "info": {"title": "FastAPI", "version": "0.1.0"},
            "paths": {
                "/items/{item_id}": {

Если клиент запросит `http://example.com/items/foo` (`item_id` `"foo"`), то он получит статус-код 200 и ответ в формате JSON:

```JSON
{
  "item": "The Foo Wrestlers"
}
```

Но если клиент запросит `http://example.com/items/bar` (несуществующий `item_id` `"bar"`), то он получит статус-код 404 (ошибка "не найдено") и JSON-ответ в виде:

```JSON
{
  "detail": "Item not found"
}
```

/// tip | Подсказка

///

### Hero の作成 { #create-a-hero }

各 SQLModel モデルは Pydantic モデルでもあるため、Pydantic モデルと同じように型アノテーションで使えます。

例えば、`Hero` 型のパラメータを宣言すると、JSON ボディから読み込まれます。

同様に、関数の戻り値の型として宣言すると、そのデータ形状が自動 API ドキュメントの UI に表示されます。

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[40:45] hl[40:45] *}

**FastAPI** buradaki Pydantic model'i alır, JSON Schema'yı üretir ve doğru yere yerleştirir.

Doğru yer şurasıdır:

* Değeri başka bir JSON nesnesi (`dict`) olan `content` anahtarının içinde:
    * Media type anahtarı (örn. `application/json`) bulunur; bunun değeri başka bir JSON nesnesidir ve onun içinde:
        * Değeri model'den gelen JSON Schema olan `schema` anahtarı vardır; doğru yer burasıdır.