Ele também não controla modelos aninhados muito bem. Então, se o corpo JSON na requisição for um objeto JSON que contém campos internos que contém objetos JSON aninhados, ele não consegue ser validado e documentado apropriadamente.

/// check | **FastAPI** inspirado para

Usar tipos Python para ter um ótimo suporte do editor.

No puede manejar muy bien modelos anidados. Entonces, si el cuerpo JSON en la request es un objeto JSON que tiene campos internos que a su vez son objetos JSON anidados, no puede ser documentado y validado apropiadamente.

/// check | Inspiró a **FastAPI** a

Usar tipos de Python para tener un gran soporte del editor.

& 👈 **🎻 🔗** Pydantic 🏷 🔌 **🗄** 👆 🛠️, & ⤴️ ⚫️ ⚙️ 🩺 🎚.

**🎻 🔗** 🚫 🤙 ✔️ 🏑 `example` 🐩. ⏮️ ⏬ 🎻 🔗 🔬 🏑 <a href="https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5" class="external-link" target="_blank">`examples`</a>, ✋️ 🗄 3️⃣.0️⃣.3️⃣ ⚓️ 🔛 🗝 ⏬ 🎻 🔗 👈 🚫 ✔️ `examples`.

import org.opensearch.action.search.SearchResponse;
import org.opensearch.common.xcontent.XContentFactory;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.common.xcontent.json.JsonXContent;
import org.opensearch.core.xcontent.XContentBuilder;
import org.opensearch.index.IndexNotFoundException;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.SearchHit;

        return request(Method.GET, path).header("Content-Type", "application/json");
    }

    /**
     * Creates a POST request for the specified path.
     * @param path the request path
     * @return the configured CurlRequest
     */
    public CurlRequest post(final String path) {
        return request(Method.POST, path).header("Content-Type", "application/json");
    }

    /**

# 응답을 직접 반환하기

**FastAPI**에서 *경로 작업(path operation)*을 생성할 때, 일반적으로 `dict`, `list`, Pydantic 모델, 데이터베이스 모델 등의 데이터를 반환할 수 있습니다.

기본적으로 **FastAPI**는 [JSON 호환 가능 인코더](../tutorial/encoder.md){.internal-link target=_blank}에 설명된 `jsonable_encoder`를 사용해 해당 반환 값을 자동으로 `JSON`으로 변환합니다.

그런 다음, JSON 호환 데이터(예: `dict`)를 `JSONResponse`에 넣어 사용자의 응답을 전송하는 방식으로 처리됩니다.

그러나 *경로 작업*에서 `JSONResponse`를 직접 반환할 수도 있습니다.

예를 들어, 사용자 정의 헤더나 쿠키를 반환해야 하는 경우에 유용할 수 있습니다.

### Using xl-meta

Executing `xl-meta` will look for an `xl.meta` in the current folder and decode it to JSON. It is also possible to specify multiple files or wildcards, for example `xl-meta ./**/xl.meta` will output decoded metadata recursively. It is possible to view what inline data is stored inline in the metadata using `--data` parameter `xl-meta -data xl.json` will display an id -> data size. To export inline data to a file use the `--export` option.

So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema.

Because we have a proxy with a path prefix of `/api/v1` for our app, the frontend needs to fetch the OpenAPI schema at `/api/v1/openapi.json`.

```mermaid
graph LR

browser("Browser")

Then you just do the same in your tests.

E.g.:

* To pass a *path* or *query* parameter, add it to the URL itself.
* To pass a JSON body, pass a Python object (e.g. a `dict`) to the parameter `json`.
* If you need to send *Form Data* instead of JSON, use the `data` parameter instead.
* To pass *headers*, use a `dict` in the `headers` parameter.
* For *cookies*, a `dict` in the `cookies` parameter.

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Then if you go to the URLs at `/openapi.json`, `/docs`, or `/redoc` you will just get a `404 Not Found` error like:

```JSON
{
    "detail": "Not Found"
}