///

### 5 단계: 콘텐츠 반환

{* ../../docs_src/first_steps/tutorial001.py hl[8] *}

`dict`, `list`, 단일값을 가진 `str`, `int` 등을 반환할 수 있습니다.

Pydantic 모델을 반환할 수도 있습니다(나중에 더 자세히 살펴봅니다).

JSON으로 자동 변환되는 객체들과 모델들(ORM 등을 포함해서)이 많이 있습니다. 가장 마음에 드는 것을 사용하십시오, 이미 지원되고 있을 것입니다.

## 요약

* `FastAPI` 임포트.
* `app` 인스턴스 생성.
* (`@app.get("/")`처럼) **경로 작동 데코레이터** 작성.
* (위에 있는 `def root(): ...`처럼) **경로 작동 함수** 작성.

Inklusive externer Bibliotheken, die auf Pydantic basieren, wie <abbr title="Object-Relational Mapper – Objektrelationaler Abbilder">ORM</abbr>s, <abbr title="Object-Document Mapper – Objekt-Dokument-Abbilder">ODM</abbr>s für Datenbanken.

Daher können Sie in vielen Fällen das Objekt eines Requests **direkt zur Datenbank** schicken, weil alles automatisch validiert wird.

Including external libraries also based on Pydantic, as <abbr title="Object-Relational Mapper">ORM</abbr>s, <abbr title="Object-Document Mapper">ODM</abbr>s for databases.

This also means that in many cases you can pass the same object you get from a request **directly to the database**, as everything is validated automatically.

Bunlara Pydantic üzerine kurulu <abbr title="Object-Relational Mapper">ORM</abbr> databaseler ve , <abbr title="Object-Document Mapper">ODM</abbr> kütüphaneler de dahil olmak üzere.

		users.Add(user)
	}
	return users
}

// Extract path string by stripping off the `prefix` value and the suffix,
// value, usually in the following form.
//
//	s := "config/iam/users/foo/config.json"
//	prefix := "config/iam/users/"
//	suffix := "config.json"
//	result is foo
func extractPathPrefixAndSuffix(s string, prefix string, suffix string) string {

		err := fmt.Errorf("Incorrect argument type passed to %s", sqlFnSubstring)
		return nil, errIncorrectSQLFunctionArgumentType(err)
	}

	// Assemble other arguments
	arg2, arg3 := e.From, e.For
	// Check if the second form of substring is being used
	if e.From == nil {
		arg2, arg3 = e.Arg2, e.Arg3
	}

	// Evaluate the FROM argument
	v2, err := arg2.evalNode(r, tableAlias)
	if err != nil {
		return nil, err
	}

 * <pre>
 * LockA -&gt; LockB -&gt; LockC
 * LockA -&gt; LockC -&gt; LockB
 * </pre>
 *
 * <p><strong>ReadWriteLocks</strong>
 *
 * <p>While {@code ReadWriteLock} instances have different properties and can form cycles without
 * potential deadlock, this class treats {@code ReadWriteLock} instances as equivalent to
 * traditional exclusive locks. Although this increases the false positives that the locks detect

// are met:
// 1. Redistributions of source code must retain the above copyright
//    notice, this list of conditions and the following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright
//    notice, this list of conditions and the following disclaimer in the
//    documentation and/or other materials provided with the distribution.
//

## Pydantic-Modelle { #pydantic-models }

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> ist eine Python-Bibliothek für die Validierung von Daten.

Sie deklarieren die „Form“ der Daten als Klassen mit Attributen.

Und jedes Attribut hat einen Typ.

			for _, rl := range lcCfg.Rules {
				if !rl.Expiration.IsNull() || !rl.NoncurrentVersionExpiration.IsNull() {
					expiryRuleRemoved = true
					break
				}
			}
		}

		// Form empty ILM details with `ExpiryUpdatedAt` field and save
		var cfgData []byte
		if expiryRuleRemoved {
			var lcCfg lifecycle.Lifecycle
			currtime := time.Now()
			lcCfg.ExpiryUpdatedAt = &currtime