}
}
```

statt:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

## Zusammenfassung { #recap }

Sie können mehrere Body-Parameter zu Ihrer *Pfadoperation-Funktion* hinzufügen, obwohl ein Request nur einen einzigen Body enthalten kann.

Wie in `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

### Rekapitulation zu Teil-Aktualisierungen { #partial-updates-recap }

Zusammengefasst, um Teil-Aktualisierungen vorzunehmen:

* (Optional) verwenden Sie `PATCH` statt `PUT`.
* Lesen Sie die bereits gespeicherten Daten aus.
* Fügen Sie diese in ein Pydantic-Modell ein.

		response.DecryptionErr = "The generated and the decrypted data key do not match"
		resp, err := json.Marshal(response)
		if err != nil {
			writeCustomErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrInternalError), err.Error(), r.URL)
			return
		}
		writeSuccessResponseJSON(w, resp)
		return
	}

	resp, err := json.Marshal(response)
	if err != nil {

I'll show you how to **build your own image from scratch** to run a single Uvicorn process. It is a simple process and is probably what you would want to do when using a distributed container management system like **Kubernetes**.

## Recap { #recap }

You can use multiple worker processes with the `--workers` CLI option with the `fastapi` or `uvicorn` commands to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.

        "tax": 3.2
    }
}
```

вместо этого:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

## Резюме { #recap }

Вы можете добавлять несколько body-параметров вашей *функции-обработчика пути*, несмотря даже на то, что запрос может содержать только одно тело.

///

Например, `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

### Кратко о частичном обновлении { #partial-updates-recap }

В целом, для применения частичных обновлений необходимо:

* (Опционально) использовать `PATCH` вместо `PUT`.
* Извлечь сохранённые данные.
* Поместить эти данные в Pydantic модель.

                        try {
                            final Smb2ReadResponse resp = th.send(request, RequestParam.NO_RETRY);
                            n = resp.getDataLength();
                        } catch (final SmbException e) {
                            if (e.getNtStatus() == 0xC0000011) { // NT_STATUS_END_OF_FILE

🐔 Ready the chicken! Your app is ready at https://myapp.fastapicloud.dev
```

</div>

É isso! Agora você pode acessar sua aplicação nessa URL. ✨

## Recapitulando, passo a passo { #recap-step-by-step }

### Passo 1: importe `FastAPI` { #step-1-import-fastapi }

{* ../../docs_src/first_steps/tutorial001_py39.py hl[1] *}

`FastAPI` é uma classe Python que fornece todas as funcionalidades para sua API.

🐔 Ready the chicken! Your app is ready at https://myapp.fastapicloud.dev
```

</div>

¡Eso es todo! Ahora puedes acceder a tu app en esa URL. ✨

## Recapitulación, paso a paso { #recap-step-by-step }

### Paso 1: importa `FastAPI` { #step-1-import-fastapi }

{* ../../docs_src/first_steps/tutorial001_py39.py hl[1] *}

        @Override
        protected void doGet(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException {
            // Do nothing - just for testing
        }

        @Override
        protected void doPost(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException {
            // Do nothing - just for testing
        }
    }