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.

  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. */

    }

    /**
     * Sets the name of the search engine cluster.
     *
     * @param clusterName the cluster name
     */
    public void setClusterName(final String clusterName) {
        this.clusterName = clusterName;
    }

    /**
     * Gets information about the search engine.
     *
     * @return the engine information

### Crear un Engine { #create-an-engine }

Un `engine` de SQLModel (en el fondo, realmente es un `engine` de SQLAlchemy) es lo que **mantiene las conexiones** a la base de datos.

Tendrías **un solo objeto `engine`** para todo tu código para conectar a la misma base de datos.

    /** The expression used to match documents for boosting */
    private String matchExpression;

    /** The script engine type used for expression evaluation */
    private final String scriptType;

    /**
     * Default constructor that creates a DocBoostMatcher with default script type.
     * Uses the default script engine as defined in Constants.DEFAULT_SCRIPT.
     */
    public DocBoostMatcher() {

     * The template is evaluated using the specified script engine with the value and context.
     *
     * @param dataMap the data map to modify
     * @param key the key to store the processed value under
     * @param value the original value to process
     * @param template the template script to evaluate
     * @param scriptType the type of script engine to use
     */