"operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "description": "Query string for the items to search in the database that have a good match",
                            "required": False,
                            "schema": {
                                "anyOf": [
                                    {

@app.get("/items/")
async def read_items(
    q: str | None = Query(
        default=None,
        alias="item-query",
        title="Query string",
        description="Query string for the items to search in the database that have a good match",
        min_length=3,
        max_length=50,
        pattern="^fixedquery$",
        deprecated=True,
    ),
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:

) -> 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)

    @Resource
    protected SystemHelper systemHelper;

    /** Behavior class for user information database operations. */
    @Resource
    protected UserInfoBhv userInfoBhv;

    /** Behavior class for favorite log database operations. */
    @Resource
    protected FavoriteLogBhv favoriteLogBhv;

    /** Configuration settings for the Fess search system. */
    @Resource

pkg database/sql, method (IsolationLevel) String() string
pkg database/sql, type DBStats struct, Idle int
pkg database/sql, type DBStats struct, InUse int
pkg database/sql, type DBStats struct, MaxIdleClosed int64
pkg database/sql, type DBStats struct, MaxLifetimeClosed int64
pkg database/sql, type DBStats struct, MaxOpenConnections int
pkg database/sql, type DBStats struct, WaitCount int64

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).

      advanced/conditional-openapi.md: how-to/conditional-openapi.md
      advanced/extending-openapi.md: how-to/extending-openapi.md
      advanced/testing-database.md: how-to/testing-database.md
  mkdocstrings:
    handlers:
      python:
        options:
          extensions:
          - griffe_typingdoc
          show_root_heading: true
          show_if_no_docstring: true

    MSSQL_IMAGE=mcr.microsoft.com/azure-sql-edge docker compose up -d --wait
    go install github.com/microsoft/go-sqlcmd/cmd/sqlcmd@latest || true
    for query in \
      "IF DB_ID('gorm') IS NULL CREATE DATABASE gorm" \
      "IF SUSER_ID (N'gorm') IS NULL CREATE LOGIN gorm WITH PASSWORD = 'LoremIpsum86';" \
      "IF USER_ID (N'gorm') IS NULL CREATE USER gorm FROM LOGIN gorm; ALTER SERVER ROLE sysadmin ADD MEMBER [gorm];"
    do

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 utils

import (
	"database/sql"
	"database/sql/driver"
	"errors"
	"math"
	"strings"
	"testing"
	"time"
)

func TestIsInvalidDBNameChar(t *testing.T) {
	for _, db := range []string{"db", "dbName", "db_name", "db1", "1dbname", "db$name"} {
		if fields := strings.FieldsFunc(db, IsInvalidDBNameChar); len(fields) != 1 {
			t.Fatalf("failed to parse db name %v", db)
		}
	}
}

func TestCheckTruth(t *testing.T) {