import org.opensearch.action.admin.indices.get.GetIndexResponse;
import org.opensearch.action.admin.indices.refresh.RefreshResponse;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.cluster.metadata.AliasMetadata;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.transport.client.Client;

/**

* Fix logrotate config on GCI ([#29139](https://github.com/kubernetes/kubernetes/pull/29139), [@adityakali](https://github.com/adityakali))
* Do not query the metadata server to find out if running on GCE.  Retry metadata server query for gcr if running on gce. ([#28871](https://github.com/kubernetes/kubernetes/pull/28871), [@vishh](https://github.com/vishh))

    /**
     * Retrieves a paginated list of crawling information records based on the provided pager criteria.
     * The results are ordered by creation time in descending order and the pager is updated with
     * pagination metadata including total count and page number list.
     *
     * @param crawlingInfoPager the pager object containing search criteria and pagination settings
     * @return a list of CrawlingInfo entities matching the criteria
     */

* GCP: allow a master to not include a metadata concealment firewall rule (if it's not running the metadata proxy). ([#58104](https://github.com/kubernetes/kubernetes/pull/58104), [@ihmccreery](https://github.com/ihmccreery))

### Создание таблиц { #create-the-tables }

Далее мы добавим функцию, которая использует `SQLModel.metadata.create_all(engine)`, чтобы **создать таблицы** для всех *моделей-таблиц*.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

### Создание зависимости Session { #create-a-session-dependency }

            <option value="$PROJECT_DIR$/packaging/internal-build-reports" />
            <option value="$PROJECT_DIR$/packaging/public-api" />
            <option value="$PROJECT_DIR$/platforms/core-configuration/api-metadata" />
            <option value="$PROJECT_DIR$/platforms/core-configuration/base-diagnostics" />
            <option value="$PROJECT_DIR$/platforms/core-configuration/base-services-groovy" />

### Create the Tables { #create-the-tables }

We then add a function that uses `SQLModel.metadata.create_all(engine)` to **create the tables** for all the *table models*.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

### Create a Session Dependency { #create-a-session-dependency }

### Die Tabellen erstellen { #create-the-tables }

Dann fügen wir eine Funktion hinzu, die `SQLModel.metadata.create_all(engine)` verwendet, um die **Tabellen für alle *Tabellenmodelle* zu erstellen**.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

///

## Використання `Annotated` у типі параметра `q`

Пам’ятаєте, як я раніше розповідав, що `Annotated` можна використовувати для додавання метаданих до параметрів у [Вступі до типів Python](../python-types.md#type-hints-with-metadata-annotations){.internal-link target=_blank}?

Зараз саме час використати його разом із FastAPI. 🚀

Раніше ми мали таку анотацію типу:

//// tab | Python 3.10+

```Python
q: str | None = None
```

	buckets, _ := z.ListBuckets(ctx, BucketOptions{})
	// Buckets data are dispersed in multiple pools/sets, make
	// sure to heal all bucket metadata configuration.
	buckets = append(buckets, BucketInfo{
		Name: pathJoin(minioMetaBucket, minioConfigPrefix),
	}, BucketInfo{
		Name: pathJoin(minioMetaBucket, bucketMetaPrefix),
	})