╰─────────────────────────────────────────────────────╯

INFO:     Will watch for changes in these directories: ['/home/user/code/awesomeapp']
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [2248755] using WatchFiles
INFO:     Started server process [2248757]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

Um einen **Request**body zu deklarieren, verwenden Sie [Pydantic](https://docs.pydantic.dev/)-Modelle mit all deren Fähigkeiten und Vorzügen.

/// info | Info

Um Daten zu senden, sollten Sie eines von: `POST` (meistverwendet), `PUT`, `DELETE` oder `PATCH` verwenden.

## Importer `Path` { #import-path }

Tout d'abord, importez `Path` de `fastapi`, et importez `Annotated` :

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[1,3] *}

/// info

FastAPI a ajouté le support pour `Annotated` (et a commencé à le recommander) dans la version 0.95.0.

Si vous avez une version plus ancienne, vous obtiendrez des erreurs en essayant d'utiliser `Annotated`.

        }
    ]
}
```

/// info | Informação

Observe como a chave `images` agora tem uma lista de objetos de imagem.

///

## Modelos profundamente aninhados { #deeply-nested-models }

Você pode definir modelos profundamente aninhados de forma arbitrária:

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info | Informação

## Importe `Path` { #import-path }

Primeiro, importe `Path` de `fastapi`, e importe `Annotated`:

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[1,3] *}

/// info | Informação

O FastAPI adicionou suporte a `Annotated` (e passou a recomendá-lo) na versão 0.95.0.

Se você tiver uma versão mais antiga, verá erros ao tentar usar `Annotated`.

# 串流資料 { #stream-data }

如果你要串流可用 JSON 結構化的資料，應該[串流 JSON Lines](../tutorial/stream-json-lines.md)。

但如果你想串流純二進位資料或字串，以下是做法。

/// info

已在 FastAPI 0.134.0 新增。

///

## 使用情境 { #use-cases }

當你想串流純字串時可以用這個機制，例如直接轉發來自 AI LLM 服務的輸出。

你也可以用它來串流大型二進位檔案，邊讀邊將每個區塊（chunk）串流出去，而不必一次把整個檔案載入記憶體。

你也可以用同樣方式串流視訊或音訊，甚至可以在處理的同時即時產生並傳送。

## 使用 `yield` 的 `StreamingResponse` { #a-streamingresponse-with-yield }

     * @throws IOException if there is an error retrieving the security information
     */
    public ACE[] getSecurity() throws IOException {
        final srvsvc.ShareInfo502 info502 = (srvsvc.ShareInfo502) info;
        if (info502.security_descriptor != null) {
            SecurityDescriptor sd;
            sd = new SecurityDescriptor(info502.security_descriptor, 0, info502.sd_size);
            return sd.aces;
        }

# Modelos de Formulario { #form-models }

Puedes usar **modelos de Pydantic** para declarar **campos de formulario** en FastAPI.

/// info | Información

Para usar formularios, primero instala [`python-multipart`](https://github.com/Kludex/python-multipart).

Asegúrate de crear un [entorno virtual](../virtual-environments.md), activarlo, y luego instalarlo, por ejemplo:

```console
$ pip install python-multipart
```

///

    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}": {
                    "get": {
                        "responses": {

import org.elasticsearch.gradle.internal.ExportElasticsearchBuildResourcesTask;
import org.elasticsearch.gradle.dependencies.CompileOnlyResolvePlugin;
import org.elasticsearch.gradle.internal.info.BuildParams;
import org.elasticsearch.gradle.internal.InternalPlugin;
import org.elasticsearch.gradle.internal.conventions.precommit.PrecommitPlugin;
import org.gradle.api.Project;
import org.gradle.api.Task;