# WebSockets

When defining WebSockets, you normally declare a parameter of type `WebSocket` and with it you can read data from the client and send data to it.

Read more about it in the [FastAPI docs for WebSockets](https://fastapi.tiangolo.com/advanced/websockets/)

It is provided directly by Starlette, but you can import it from `fastapi`:

```python
from fastapi import WebSocket
```

/// tip

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.mylasta.mail.EsStatusPostcard;
import org.codelibs.fess.opensearch.client.SearchEngineClient;
import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.mail.send.hook.SMailCallbackContext;
import org.lastaflute.core.mail.Postbox;

/**
 * Job for pinging search engine.
 */
public class PingSearchEngineJob {

    /**
     * Default constructor.
     */

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.helper;

import org.codelibs.fess.unit.UnitFessTestCase;
import org.dbflute.utflute.mocklet.MockletHttpServletRequest;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;

public class RateLimitHelperTest extends UnitFessTestCase {

Use base64 only if you definitely need to include binary data in JSON, and you can't use files for that.

## Pydantic `bytes` { #pydantic-bytes }

You can declare a Pydantic model with `bytes` fields, and then use `val_json_bytes` in the model config to tell it to use base64 to *validate* input JSON data, as part of that validation it will decode the base64 string into bytes.

## Импорт `Header` { #import-header }

Сперва импортируйте `Header`:

{* ../../docs_src/header_params/tutorial001_an_py310.py hl[3] *}

## Объявление параметров `Header` { #declare-header-parameters }

Затем объявите параметры заголовка, используя ту же структуру, что и с `Path`, `Query` и `Cookie`.

import inspect

from fastapi import APIRouter, FastAPI

method_names = ["get", "put", "post", "delete", "options", "head", "patch", "trace"]


def test_signatures_consistency():
    base_sig = inspect.signature(APIRouter.get)
    for method_name in method_names:
        router_method = getattr(APIRouter, method_name)
        app_method = getattr(FastAPI, method_name)
        router_sig = inspect.signature(router_method)

be a string with length > 0 - `buckets[].policy` - can be one of none|download|upload|public - `buckets[].purge` - purge if bucket exists already Uninstalling the Chart ---------- Assuming your release is named as `my-release`, delete it using the command: ```bash helm delete my-release ``` or ```bash helm uninstall my-release ``` The command removes all the Kubernetes components associated with the chart and deletes the release....

be a string with length > 0 - `buckets[].policy` - can be one of none|download|upload|public - `buckets[].purge` - purge if bucket exists already Uninstalling the Chart ---------- Assuming your release is named as `my-release`, delete it using the command: ```bash helm delete my-release ``` or ```bash helm uninstall my-release ``` The command removes all the Kubernetes components associated with the chart and deletes the release....

# Declare dados de exemplo da requisição { #declare-request-example-data }

Você pode declarar exemplos dos dados que sua aplicação pode receber.

Aqui estão várias maneiras de fazer isso.

## Dados extras de JSON Schema em modelos Pydantic { #extra-json-schema-data-in-pydantic-models }

Você pode declarar `examples` para um modelo Pydantic que serão adicionados ao JSON Schema gerado.

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

	}
	if reply = locksHeld == WriteLock; !reply { // Unless it is a write lock
		return false, fmt.Errorf("Unlock attempted on a read locked entity: %s (%d read locks active)", args.Resources[0], locksHeld)
	}
	delete(l.lockMap, args.Resources[0]) // Remove the write lock
	return true, nil
}

const ReadLock = 1

func (l *lockServer) RLock(args *LockArgs) (reply bool, err error) {