In diesem Beispiel haben wir kein Pydantic-Modell deklariert. Tatsächlich wird der Requestbody nicht einmal als JSON <abbr title="von einem einfachen Format, wie Bytes, in Python-Objekte konvertieren">geparst</abbr>, sondern direkt als `bytes` gelesen und die Funktion `magic_data_reader()` wäre dafür verantwortlich, ihn in irgendeiner Weise zu parsen.

///

## Das Serverprogramm ausführen { #run-the-server-program }

Wenn Sie einen ASGI-Server manuell installiert haben, müssen Sie normalerweise einen Importstring in einem speziellen Format übergeben, damit er Ihre FastAPI-Anwendung importiert:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

        assertEquals(Method.CONNECT, Curl.connect("http://test.com").method());
    }

    @Test
    public void test_FactoryMethodsWithDifferentUrls() {
        // ## Test factory methods with various URL formats ##

        // ## Act & Assert ##
        assertNotNull(Curl.get("https://secure.example.com/path?param=value"));
        assertNotNull(Curl.post("http://api.example.com/v1/resource"));

	DB.Where(&User{Name: "find or create 3"}).Assign("age", 55).FirstOrCreate(&user4)

	if user4.Age != 55 {
		t.Errorf("Failed to set change to 55, got %v", user4.Age)
	}

	if updatedAt1.Format(time.RFC3339Nano) == user4.UpdatedAt.Format(time.RFC3339Nano) {
		t.Errorf("UpdateAt should be changed when update values with assign")
	}

	DB.Where(&User{Name: "find or create 4"}).Assign(User{Age: 44}).FirstOrCreate(&user4)

		if cErr != nil {
			return nil, cErr
		}

		mysqlArgs := target.MySQLArgs{
			Enable:             enabled,
			Format:             env.Get(formatEnv, kv.Get(target.MySQLFormat)),
			DSN:                env.Get(dsnStringEnv, kv.Get(target.MySQLDSNString)),
			Table:              env.Get(tableEnv, kv.Get(target.MySQLTable)),

 * This handler extends {@link URLStreamHandler} to provide a way to open connections to GCS objects
 * using URLs with the "gcs" protocol.
 *
 * <p>
 * The URL format is expected to be: {@code gcs://bucketName/objectName}.
 * The bucket name and object name are extracted from the URL.
 * </p>
 *
 * <p>
 * The handler relies on environment variables for configuration:
 * </p>

 * This handler extends {@link URLStreamHandler} to provide a way to open connections to S3 objects
 * using URLs with the "s3" protocol.
 *
 * <p>
 * The URL format is expected to be: {@code s3://bucketName/objectName}.
 * The bucket name and object name are extracted from the URL.
 * </p>
 *
 * <p>
 * The handler relies on environment variables for configuration:
 * </p>
 * <ul>

{* ../../docs_src/path_operation_advanced_configuration/tutorial006_py39.py hl[19:36, 39:40] *}

In this example, we didn't declare any Pydantic model. In fact, the request body is not even <abbr title="converted from some plain format, like bytes, into Python objects">parsed</abbr> as JSON, it is read directly as `bytes`, and the function `magic_data_reader()` would be in charge of parsing it in some way.

///

## Run the Server Program { #run-the-server-program }

If you installed an ASGI server manually, you would normally need to pass an import string in a special format for it to import your FastAPI application:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

	}
	return r.Filter.And.Prefix
}

// Tags - a rule can either have tag under <filter></filter> or under
// <filter><and></and></filter>. This method returns all the tags from the
// rule in the format tag1=value1&tag2=value2
func (r Rule) Tags() string {
	if !r.Filter.Tag.IsEmpty() {
		return r.Filter.Tag.String()
	}
	if len(r.Filter.And.Tags) != 0 {
		var buf bytes.Buffer