/// note | 技術細節

你也可以使用 `from starlette.websockets import WebSocket`。

**FastAPI** 直接提供相同的 `WebSocket` 只是為了方便你這位開發者，但它其實是直接來自 Starlette。

///

## 等待與傳送訊息 { #await-for-messages-and-send-messages }

在你的 WebSocket 路由中，你可以 `await` 接收訊息並傳送訊息。

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

你可以接收與傳送二進位、文字與 JSON 資料。

## 試試看 { #try-it }

如果你的檔案名為 `main.py`，用以下指令執行應用：

/// note | 技术细节

您也可以使用 `from starlette.websockets import WebSocket`。

**FastAPI** 直接提供了相同的 `WebSocket`，只是为了方便开发人员。但它直接来自 Starlette。

///

## 等待消息并发送消息 { #await-for-messages-and-send-messages }

在您的 WebSocket 路由中，您可以使用 `await` 等待消息并发送消息。

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

您可以接收和发送二进制、文本和 JSON 数据。

## 尝试一下 { #try-it }

将代码放在 `main.py`，然后运行你的应用程序：

				// - practically speaking this never happens
				// and should never happen - however it has
				// been seen recently due to hardware issues
				// causes Reads() to go slower than Writes().
				//
				// Send such results anyways as this shall
				// expose a problem underneath.
				if totalPut > throughputHighestPut {
					throughputHighestResults = results
					throughputHighestPut = totalPut

E, então, adicionando o argumento de palavra-chave extra `hashed_password=hashed_password`, como em:

```Python
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
```

...acaba sendo como:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],

```
<VersioningConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
</VersioningConfiguration>
```

To enable versioning, you send a request to MinIO with a versioning configuration with Status set to `Enabled`.

```
<VersioningConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
  <Status>Enabled</Status>
</VersioningConfiguration>
```

(c){b=new a.ActiveXObject("Microsoft.XMLHTTP")}return function(){return b}}(),f=function(a,b){var c=e();c&&(c.open("GET",a,!0),c.onreadystatechange=function(){4!==c.readyState||200!==c.status&&304!==c.status||b(c.responseText)},4!==c.readyState&&c.send(null))};if(c.ajax=f,c.queue=d,c.regex={media:/@media[^\{]+\{([^\{\}]*\{[^\}\{]*\})+/gi,keyframes:/@(?:\-(?:o|moz|webkit)\-)?keyframes[^\{]+\{(?:[^\{\}]*\{[^\}\{]*\})+[^\}]*\}/gi,urls:/(url\()['"]?([^\/\)'"][^:\)'"]+)['"]?(\))/g,findStyles:/@media ...

**FastAPI** fournit le même `WebSocket` directement, simplement pour vous faciliter la vie en tant que développeur. Mais il provient directement de Starlette.

///

## Attendre des messages et envoyer des messages { #await-for-messages-and-send-messages }

Dans votre route WebSocket, vous pouvez `await` des messages et envoyer des messages.

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

import org.codelibs.fess.opensearch.client.SearchEngineClient;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.mail.CardView;
import org.dbflute.mail.send.supplement.SMailPostingDiscloser;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;
import org.lastaflute.core.mail.Postbox;

public class CrawlerTest extends UnitFessTestCase {

				return err
			}
			return w.mw.Flush()
		}
		return nil
	}
	return &w
}

// write one or more objects to the stream in order.
// It is favorable to send as many objects as possible in a single write,
// but no more than math.MaxUint32
func (w *metacacheWriter) write(objs ...metaCacheEntry) error {
	if w == nil {
		return errors.New("metacacheWriter: nil writer")
	}

		# You can replace it with your custom code based on your use case
		transformed_object = original_object.upper()

		# Write object back to S3 Object Lambda
		# response sends the transformed data
		# back to MinIO and then to the user
		resp = make_response(transformed_object, 200)
		resp.headers['x-amz-request-route'] = request_route
		resp.headers['x-amz-request-token'] = request_token