@app.get("/logs/stream", response_class=EventSourceResponse)
async def stream_logs() -> AsyncIterable[ServerSentEvent]:
    logs = [
        "2025-01-01 INFO  Application started",
        "2025-01-01 DEBUG Connected to database",
        "2025-01-01 WARN  High memory usage detected",
    ]
    for log_line in logs:

     * Creates a new instance with default values.
     */
    public FileAuthenticationService() {
        // Default constructor
    }

    /**
     * Behavior class for file authentication database operations.
     */
    @Resource
    protected FileAuthenticationBhv fileAuthenticationBhv;

    /**
     * Configuration settings for the Fess application.
     */
    @Resource

) -> AsyncGenerator[_T, None]:
    # blocking __exit__ from running waiting on a free thread
    # can create race conditions/deadlocks if the context manager itself
    # has its own internal pool (e.g. a database connection pool)
    # to avoid this we let __exit__ run without a capacity limit
    # since we're creating a new limiter for each call, any non-zero limit
    # works (1 is arbitrary)
    exit_limiter = CapacityLimiter(1)

class Hero(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)
    secret_name: str


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():

// Package gorm is a full-featured, developer-friendly ORM for Golang.
// See https://gorm.io for documentation and community.
package gorm

import (
	"context"
	"database/sql"
	"fmt"
	"reflect"
	"sort"
	"sync"
	"time"

	"gorm.io/gorm/clause"
	"gorm.io/gorm/logger"
	"gorm.io/gorm/schema"
)

// for Config.cacheStore store PreparedStmtDB key
const preparedStmtDBKey = "preparedStmt"

// Config GORM config

 * Custom qualifier annotations should be annotated with {@code @Qualifier}.
 * <p>
 * Example of creating a custom qualifier:
 * <pre>
 * {@literal @}Qualifier
 * {@literal @}Retention(RUNTIME)
 * public @interface Database {
 *     String value();
 * }
 * </pre>
 *
 * @see Named
 * @since 4.0.0
 */
@Target(ANNOTATION_TYPE)
@Retention(RUNTIME)
@Documented

For example, you could want to **return a dictionary** or a database object, but **declare it as a Pydantic model**. This way the Pydantic model would do all the data documentation, validation, etc. for the object that you returned (e.g. a dictionary or database object).

Do you want to just have a `str`? Or just a `dict`? Or a database class model instance directly? It all works the same way.

You actually don't have users that log in to your application but robots, bots, or other systems, that have just an access token? Again, it all works the same.

package schema

import (
	"gorm.io/gorm/clause"
)

// ConstraintInterface database constraint interface
type ConstraintInterface interface {
	GetName() string
	Build() (sql string, vars []interface{})
}

// GormDataTypeInterface gorm data type interface
type GormDataTypeInterface interface {
	GormDataType() string
}

// FieldNewValuePool field new scan value pool
type FieldNewValuePool interface {
	Get() interface{}

class Hero(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)
    secret_name: str


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():