@needs_py310
def test_openapi_schema(client: TestClient):
    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": {
            "/items/": {
                "get": {
                    "responses": {
                        "200": {

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": {
            "/items/": {
                "get": {
                    "responses": {
                        "200": {

	Text     string      `json:"text,omitempty"`
	Mail     bool        `json:"mail,omitempty"` // Be an MX record. Priority becomes Preference.
	TTL      uint32      `json:"ttl,omitempty"`

	// Holds info about when the entry was created first.
	CreationDate time.Time `json:"creationDate"`

	// When a SRV record with a "Host: IP-address" is added, we synthesize
	// a srv.Target domain name.  Normally we convert the full Key where

@needs_py310
def test_openapi_schema(client: TestClient):
    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": {
            "/user/": {
                "post": {
                    "summary": "Create User",
                    "operationId": "create_user_user__post",

@needs_py39
def test_openapi_schema(client: TestClient):
    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": {
            "/files/": {
                "post": {
                    "summary": "Create File",
                    "operationId": "create_file_files__post",

    }

    private void commands(CliRequest cliRequest) {
        if (cliRequest.showErrors) {
            slf4jLogger.info("Error stacktraces are turned on.");
        }

        if (MavenExecutionRequest.CHECKSUM_POLICY_WARN.equals(cliRequest.request.getGlobalChecksumPolicy())) {
            slf4jLogger.info("Disabling strict checksum verification on all artifact downloads.");

                                    <%-- Message --%>
                                <div>
                                    <la:info id="msg" message="true">
                                        <div class="alert alert-info">${msg}</div>
                                    </la:info>
                                    <la:errors/>
                                </div>
                                    <%-- Form Fields --%>

```

////

//// tab | Python 3.8+

```Python hl_lines="21"
{!> ../../docs_src/path_operation_configuration/tutorial005.py!}
```

////

/// info | "Дополнительная информация"

Помните, что `response_description` относится конкретно к ответу, а `description` относится к *операции пути* в целом.

///

/// check | "Технические детали"

///

The `status_code` parameter receives a number with the HTTP status code.

/// info

`status_code` can alternatively also receive an `IntEnum`, such as Python's <a href="https://docs.python.org/3/library/http.html#http.HTTPStatus" class="external-link" target="_blank">`http.HTTPStatus`</a>.

///

It will:

* validação de dados
* serialização de dados
* documentação de dados, etc.

Isso funciona da mesma forma que com os modelos Pydantic. E na verdade é alcançado da mesma maneira por baixo dos panos, usando Pydantic.

/// info | Informação

Lembre-se de que dataclasses não podem fazer tudo o que os modelos Pydantic podem fazer.

Então, você ainda pode precisar usar modelos Pydantic.