html = get_swagger_ui_html(
        openapi_url="/openapi.json",
        title="Test",
        init_oauth={"clientId": "my-client", "appName": "My App"},
    )
    body = html.body.decode()
    assert '"clientId": "my-client"' in body
    assert '"appName": "My App"' in body

    esac
fi

# Collect all arguments for the java command, stacking in reverse order:
#   * args from the command line
#   * the main class name
#   * -classpath
#   * -D...appname settings
#   * --module-path (only if needed)
#   * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables.

# For Cygwin or MSYS, switch paths to Windows format before running java

echo location of your Java installation. 1>&2

goto fail

:execute
@rem Setup the command line



@rem Execute Gradle
"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -jar "%APP_HOME%\gradle\wrapper\gradle-wrapper.jar" %*

:end
@rem End local scope for the variables with windows NT shell
if %ERRORLEVEL% equ 0 goto mainEnd

:fail

		// object SparkJSONRead {
		//   def main(args: Array[String]): Unit = {
		//     val spark:SparkSession = SparkSession.builder()
		//       .appName("SparkByExample")
		//       .master("local[1]").getOrCreate()
		//
		//     spark.sparkContext.setLogLevel("ERROR")
		//     spark.sparkContext.hadoopConfiguration.set("fs.s3a.endpoint", "http://minio-lb:9000")

///

Ardından, bu `Settings` sınıfının bir instance'ını oluşturduğunuzda (bu örnekte `settings` nesnesi), Pydantic environment variable'ları büyük/küçük harfe duyarsız şekilde okur; yani büyük harfli `APP_NAME` değişkeni, yine de `app_name` attribute'u için okunur.

Sonrasında veriyi dönüştürür ve doğrular. Böylece `settings` nesnesini kullandığınızda, tanımladığınız tiplerde verilere sahip olursunuz (örn. `items_per_user` bir `int` olur).

Então, quando você cria uma instância dessa classe `Settings` (neste caso, no objeto `settings`), o Pydantic vai ler as variáveis de ambiente sem diferenciar maiúsculas de minúsculas; assim, uma variável em maiúsculas `APP_NAME` ainda será lida para o atributo `app_name`.

Em seguida, ele converterá e validará os dados. Assim, quando você usar esse objeto `settings`, terá dados dos tipos que declarou (por exemplo, `items_per_user` será um `int`).

///

Затем, когда вы создаете экземпляр этого класса `Settings` (в нашем случае объект `settings`), Pydantic прочитает переменные окружения регистронезависимо, то есть переменная в верхнем регистре `APP_NAME` будет прочитана для атрибута `app_name`.

Далее он преобразует и провалидирует данные. Поэтому при использовании объекта `settings` вы получите данные тех типов, которые объявили (например, `items_per_user` будет `int`).

app.dependency_overrides[get_settings] = get_settings_override


def test_app():
    response = client.get("/info")
    data = response.json()
    assert data == {
        "app_name": "Awesome API",
        "admin_email": "******@****.***",
        "items_per_user": 50,

from fastapi import FastAPI

from .config import settings

app = FastAPI()


@app.get("/info")
async def info():
    return {
        "app_name": settings.app_name,
        "admin_email": settings.admin_email,
        "items_per_user": settings.items_per_user,

from fastapi import FastAPI
from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    app_name: str = "Awesome API"
    admin_email: str
    items_per_user: int = 50


settings = Settings()
app = FastAPI()


@app.get("/info")
async def info():
    return {
        "app_name": settings.app_name,
        "admin_email": settings.admin_email,
        "items_per_user": settings.items_per_user,