### Starting and Stopping Containers

To start a stopped container, you can use the [`docker start`](https://docs.docker.com/engine/reference/commandline/start/) command.

```sh
docker start <container_id>
```

To stop a running container, you can use the [`docker stop`](https://docs.docker.com/engine/reference/commandline/stop/) command.

```sh
docker stop <container_id>
```

### MinIO container logs

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.web.admin.dashboard;

import org.codelibs.fess.annotation.Secured;
import org.codelibs.fess.api.engine.SearchEngineApiManager;
import org.codelibs.fess.app.web.base.FessAdminAction;
import org.codelibs.fess.util.RenderDataUtil;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.HtmlResponse;

import jakarta.servlet.ServletOutputStream;
import jakarta.servlet.http.HttpServletRequest;
import jakarta.servlet.http.HttpServletResponse;

/**
 * API manager for search engine administrative operations.
 * Provides secure access to search engine APIs through authentication and token-based authorization.
 */
public class SearchEngineApiManager extends BaseApiManager {
    private static final String ADMIN_SERVER = "/admin/server_";

        implementation(libs.junit.jupiter.params)
        implementation(libs.kotlin.test.junit)
        implementation(libs.openjsse)

        implementation(libs.junit.jupiter.engine)
        implementation(libs.junit.vintage.engine)

        if (platform == "conscrypt") {
          implementation(rootProject.libs.conscrypt.openjdk)
        } else if (platform == "openjsse") {

from sqlmodel import Field, Session, SQLModel, create_engine

engine = create_engine("postgresql+psycopg://postgres:postgres@localhost/db")


class User(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str


app = FastAPI()


def get_session():
    with Session(engine) as session:
        yield session

### Criar um Engine { #create-an-engine }
Um `engine` SQLModel (por baixo dos panos, ele é na verdade um `engine` do SQLAlchemy) é o que **mantém as conexões** com o banco de dados.

Você teria **um único objeto `engine`** para todo o seu código se conectar ao mesmo banco de dados.

                }
            }
        }
    }

    /**
     * Returns the name identifier for this script engine.
     *
     * @return "groovy" - the identifier used to register and retrieve this engine
     */
    @Override
    protected String getName() {
        return "groovy";
    }

  api(libs.squareup.kotlinPoet)
  testImplementation(libs.assertk)
  testImplementation(libs.junit.jupiter.api)
  testImplementation(libs.junit.jupiter.params)

  testImplementation(rootProject.libs.junit.jupiter.engine)
}

animalsniffer {
  isIgnoreFailures = true

### Создание Engine { #create-an-engine }

Объект `engine` в SQLModel (под капотом это `engine` из SQLAlchemy) **удерживает соединения** с базой данных.

У вас должен быть **один объект `engine`** для всей кодовой базы, чтобы подключаться к одной и той же базе данных.

    // Search Engine Type Constants
    // ============================================================

    /** Cloud-based search engine type. */
    public static final String FESEN_TYPE_CLOUD = "cloud";

    /** AWS-based search engine type. */
    public static final String FESEN_TYPE_AWS = "aws";

    /** Search engine username configuration key. */