sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}
engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


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


SessionDep = Annotated[Session, Depends(get_session)]

app = FastAPI()

sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}
engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


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


app = FastAPI()


@app.on_event("startup")
def on_startup():

sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}
engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


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


SessionDep = Annotated[Session, Depends(get_session)]
app = FastAPI()

### 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

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

/**
 * Interface for script engines that can evaluate templates with parameters.
 * This interface provides a contract for different script engine implementations
 * to process template strings with parameter substitution.
 */
public interface ScriptEngine {

    /**
     * Evaluates a template string with the provided parameter map.
     * The template is processed using the script engine's templating mechanism,

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_";

    /**
     * Private constructor to prevent instantiation.
     */
    private SystemUtil() {
    }

    /**
     * Gets the HTTP address of the search engine.
     *
     * @return The search engine HTTP address.
     */
    public static String getSearchEngineHttpAddress() {
        return System.getProperty(Constants.FESS_SEARCH_ENGINE_HTTP_ADDRESS);
    }

    /**

smart.deploy.mode.location = fess_env.properties: lasta_di.smart.deploy.mode

# package for smart deploy target e.g. org.docksidestage.app
smart.package1 = org.codelibs.fess.app

# script engine

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

A SQLModel `engine` (underneath it's actually a SQLAlchemy `engine`) is what **holds the connections** to the database.

You would have **one single `engine` object** for all your code to connect to the same database.