def test_get():
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [{"item_id": "Foo"}]


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

def test_get_route():
    response = client.get("/")
    assert response.status_code == 200, response.text
    assert response.json() == {}


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

## Atributos como listas de submodelos { #attributes-with-lists-of-submodels }

Você também pode usar modelos Pydantic como subtipos de `list`, `set`, etc:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

Isso vai esperar(converter, validar, documentar, etc) um corpo JSON tal qual:

```JSON hl_lines="11"
{
    "name": "Foo",

def test_main():
    response = client.get("/app")
    assert response.status_code == 200
    assert response.json() == {"message": "Hello World", "root_path": "/api/v1"}


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

    )
    assert response.status_code == 200
    assert response.json() == {"files_count": 2, "sizes": [8, 8]}


def test_optional_bytes_list_no_files():
    client = TestClient(app)
    response = client.post("/files")
    assert response.status_code == 200

                        "content": {"application/json": {"schema": {}}},
                    },
                },
                "summary": "A",
                "operationId": "a_a_get",
            }
        }
    },
}

client = TestClient(app)


def test_openapi_schema():
    with pytest.raises(ValueError):

type SiteResyncStatus struct {
	Version int `json:"version" msg:"v"`
	// Overall site status
	Status                        ResyncStatusType            `json:"st" msg:"ss"`
	DeplID                        string                      `json:"dId" msg:"did"`
	BucketStatuses                map[string]ResyncStatusType `json:"buckets" msg:"bkts"`
	TotBuckets                    int                         `json:"totbuckets" msg:"tb"`

                "responses": {
                    "200": {
                        "content": {"application/json": {"schema": {}}},
                        "description": "Successful Response",
                    },
                    "422": {
                        "content": {
                            "application/json": {
                                "schema": {

このスキーマ定義はAPIパス、受け取り可能なパラメータなどが含まれます。

#### データ「スキーマ」

「スキーマ」という用語は、JSONコンテンツなどの一部のデータの形状を指す場合もあります。

そのような場合、スキーマはJSON属性とそれらが持つデータ型などを意味します。

#### OpenAPIおよびJSONスキーマ

OpenAPIはAPIのためのAPIスキーマを定義します。そして、そのスキーマは**JSONデータスキーマ**の標準規格に準拠したJSONスキーマを利用するAPIによって送受されるデータの定義（または「スキーマ」）を含んでいます。

#### `openapi.json`を確認

素のOpenAPIスキーマがどのようなものか興味がある場合、FastAPIはすべてのAPIの説明を含むJSON（スキーマ）を自動的に生成します。

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema { #openapi-and-json-schema }

OpenAPI defines an API schema for your API. And that schema includes definitions (or "schemas") of the data sent and received by your API using **JSON Schema**, the standard for JSON data schemas.