assert response.status_code == 200
    assert response.json() == {
        "in": "main-depends",
        "params": {"q": "foo", "skip": 0, "limit": 100},
    }


def test_main_depends_q_foo_skip_100_limit_200():
    response = client.get("/main-depends/?q=foo&skip=100&limit=200")
    assert response.status_code == 200
    assert response.json() == {
        "in": "main-depends",

# JSON-совместимый кодировщик { #json-compatible-encoder }

В некоторых случаях может потребоваться преобразование типа данных (например, Pydantic-модели) в тип, совместимый с JSON (например, `dict`, `list` и т.д.).

Например, если необходимо хранить его в базе данных.

Для этого **FastAPI** предоставляет функцию `jsonable_encoder()`.

## Использование `jsonable_encoder` { #using-the-jsonable-encoder }

    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")

sleep 30s

nprefix=$(./mc ilm rule list siteb/bucket --json | jq '.config.Rules[0].Filter.And.Prefix' | sed 's/"//g')
ntagName1=$(./mc ilm rule list siteb/bucket --json | jq '.config.Rules[0].Filter.And.Tags[0].Key' | sed 's/"//g')
ntagVal1=$(./mc ilm rule list siteb/bucket --json | jq '.config.Rules[0].Filter.And.Tags[0].Value' | sed 's/"//g')
ntagName2=$(./mc ilm rule list siteb/bucket --json | jq '.config.Rules[0].Filter.And.Tags[1].Key' | sed 's/"//g')

{* ../../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 <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

# JSON-kompatibler Encoder { #json-compatible-encoder }

Es gibt Fälle, da möchten Sie einen Datentyp (etwa ein Pydantic-Modell) in etwas konvertieren, das kompatibel mit JSON ist (etwa ein `dict`, eine `list`, usw.).

Zum Beispiel, wenn Sie es in einer Datenbank speichern möchten.

Dafür bietet **FastAPI** eine Funktion `jsonable_encoder()`.

## `jsonable_encoder` verwenden { #using-the-jsonable-encoder }

    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 response.status_code == 200
    assert response.json() == {"foo": "baz"}

    response = client.get("/test2")
    assert response.status_code == 200
    assert response.json() == {"foo": "bar"}

    response = client.get("/test2", params={"var": "baz"})
    assert response.status_code == 200
    assert response.json() == {"foo": "baz"}


def test_nested_router():
    app = FastAPI()

@app.get("/function-scope")
def function_scope(session: SessionFuncDep) -> Any:
    def iter_data():
        yield json.dumps({"is_open": session.open})

    return StreamingResponse(iter_data())


@app.get("/request-scope")
def request_scope(session: SessionRequestDep) -> Any:
    def iter_data():
        yield json.dumps({"is_open": session.open})

    return StreamingResponse(iter_data())


@app.get("/two-scopes")

)

// MarshalText encodes the DEK's key ID and ciphertext
// as JSON.
func (d DEK) MarshalText() ([]byte, error) {
	type JSON struct {
		KeyID      string `json:"keyid"`
		Version    uint32 `json:"version,omitempty"`
		Ciphertext []byte `json:"ciphertext"`
	}
	return json.Marshal(JSON{
		KeyID:      d.KeyID,
		Version:    uint32(d.Version),
		Ciphertext: d.Ciphertext,
	})
}