OpenAPI defines the following security schemes:

* `apiKey`: an application specific key that can come from:
    * A query parameter.
    * A header.
    * A cookie.
* `http`: standard HTTP authentication systems, including:
    * `bearer`: a header `Authorization` with a value of `Bearer ` plus a token. This is inherited from OAuth2.

* the body
* the request body
* the response body
* the JSON body
* the form body
* the file body
* the function body

* the parameter
* the body parameter
* the path parameter
* the query parameter
* the cookie parameter
* the header parameter
* the form parameter
* the function parameter

* the event
* the startup event
* the startup of the server
* the shutdown event

	// Logger
	Logger logger.Interface
	// NowFunc the function to be used when creating a new timestamp
	NowFunc func() time.Time
	// DryRun generate sql without execute
	DryRun bool
	// PrepareStmt executes the given query in cached statement
	PrepareStmt bool
	// PrepareStmt cache support LRU expired,
	// default maxsize=int64 Max value and ttl=1h
	PrepareStmtMaxSize int
	PrepareStmtTTL     time.Duration

	// DisableAutomaticPing

こうすることで、**複数の場所**で**そのPydanticモデルを再利用**でき、バリデーションやメタデータを、すべてのパラメータに対して一度に宣言できます。😎

/// note | 備考

この機能は、FastAPIのバージョン `0.115.0` からサポートされています。🤓

///

/// tip | 豆知識

これと同じテクニックは `Query` 、 `Cookie` 、 `Header` にも適用できます。 😎

///

## Pydanticモデルを使用したクッキー { #cookies-with-a-pydantic-model }

必要な複数の**クッキー**パラメータを**Pydanticモデル**で宣言し、さらに、パラメータを `Cookie` として宣言しましょう:

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

Depois é só fazer o mesmo nos seus testes.

Por exemplo:

* Para passar um parâmetro *path* ou *query*, adicione-o à própria URL.
* Para passar um corpo JSON, passe um objeto Python (por exemplo, um `dict`) para o parâmetro `json`.
* Se você precisar enviar *Dados de Formulário* em vez de JSON, use o parâmetro `data`.

        doc1.put("docId", "doc1");
        doc1.put("title", "Test Document 1");
        documentItems.add(doc1);

        try {
            userInfoHelper.storeQueryId("query1", documentItems);
            assertTrue(true);
        } catch (Exception e) {
            assertTrue(true);
        }
    }

    @Test
    public void test_storeQueryId_emptyDocuments() {

所有这些消息都将使用同一个 WebSocket 连接。

## 使用 `Depends` 和其他依赖项 { #using-depends-and-others }

在 WebSocket 端点中，您可以从 `fastapi` 导入并使用以下内容：

* `Depends`
* `Security`
* `Cookie`
* `Header`
* `Path`
* `Query`

它们的工作方式与其他 FastAPI 端点/*路径操作* 相同：

{* ../../docs_src/websockets_/tutorial002_an_py310.py hl[68:69,82] *}

/// info

由于这是一个 WebSocket，抛出 `HTTPException` 并不是很合理，而是抛出 `WebSocketException`。

{* ../../docs_src/background_tasks/tutorial002_an_py310.py hl[13,15,22,25] *}


In this example, the messages will be written to the `log.txt` file *after* the response is sent.

If there was a query in the request, it will be written to the log in a background task.

And then another background task generated at the *path operation function* will write a message using the `email` path parameter.

import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;
import org.opensearch.index.query.QueryBuilder;

public class DataIndexHelperTest extends UnitFessTestCase {

    private DataIndexHelper dataIndexHelper;

    @Override
    protected void setUp(TestInfo testInfo) throws Exception {