client = TestClient(app)


def test_get_enums_alexnet():
    response = client.get("/models/alexnet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "alexnet", "message": "Deep Learning FTW!"}


def test_get_enums_lenet():
    response = client.get("/models/lenet")
    assert response.status_code == 200

    private final InputLocation importedFrom;

    public InputSource(String modelId, String location) {
        this(modelId, location, null);
    }

    public InputSource(String modelId, String location, InputLocation importedFrom) {
        this.modelId = modelId;
        this.location = location;
        this.inputs = null;
        this.importedFrom = importedFrom;
    }

     */
    @Deprecated
    public ModelBuildingException(Model model, String modelId, List<ModelProblem> problems) {
        super(toMessage(modelId, problems));

        if (model != null) {
            DefaultModelBuildingResult tmp = new DefaultModelBuildingResult();
            if (modelId == null) {
                modelId = "";
            }
            tmp.addModelId(modelId);
            tmp.setRawModel(modelId, model);

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

So, you might still need to use Pydantic models.

따라서 **FastAPI**는 출력 모델에서 선언하지 않은 모든 데이터를 (Pydantic을 사용하여) 필터링합니다.

## 문서에서 보기

자동 생성 문서를 보면 입력 모델과 출력 모델이 각자의 JSON 스키마를 가지고 있음을 확인할 수 있습니다:

<img src="/img/tutorial/response-model/image01.png">

그리고 두 모델 모두 대화형 API 문서에 사용됩니다:

<img src="/img/tutorial/response-model/image02.png">

## 응답 모델 인코딩 매개변수

응답 모델은 아래와 같이 기본값을 가질 수 있습니다:

```Python hl_lines="11  13-14"
{!../../docs_src/response_model/tutorial004.py!}
```

    /**
     * Set the identifier of the POM in the format {@code
     * <groupId>:<artifactId>:<version>}.
     *
     * @param modelId
     */
    public void setModelId(String modelId) {
        this.modelId = modelId;
    } // -- void setModelId( String )

    /**
     * Get the location of the POM from which this POM was
     *
     * @return
     */

## 👀 ⚫️ 🩺

🕐❔ 👆 👀 🏧 🩺, 👆 💪 ✅ 👈 🔢 🏷 & 🔢 🏷 🔜 👯‍♂️ ✔️ 👫 👍 🎻 🔗:

<img src="/img/tutorial/response-model/image01.png">

&amp; 👯‍♂️ 🏷 🔜 ⚙️ 🎓 🛠️ 🧾:

<img src="/img/tutorial/response-model/image02.png">

## 🎏 📨 🆎 ✍

📤 5️⃣📆 💼 🌐❔ 👆 📨 🕳 👈 🚫 ☑ Pydantic 🏑 &amp; 👆 ✍ ⚫️ 🔢, 🕴 🤚 🐕‍🦺 🚚 🏭 (👨‍🎨, ✍, ♒️).

### 📨 📨 🔗

Tatsächlich gibt es in einigen Fällen sogar **zwei JSON-Schemas** in OpenAPI für dasselbe Pydantic-Modell für Eingabe und Ausgabe, je nachdem, ob sie **Defaultwerte** haben.

Sehen wir uns an, wie das funktioniert und wie Sie es bei Bedarf ändern können.

## Pydantic-Modelle für Eingabe und Ausgabe

Nehmen wir an, Sie haben ein Pydantic-Modell mit Defaultwerten wie dieses:

//// tab | Python 3.10+

```Python hl_lines="7"

            int columnNumber,
            String modelId,
            Exception exception) {
        this.message = message;
        this.severity = (severity != null) ? severity : Severity.ERROR;
        this.source = (source != null) ? source : "";
        this.lineNumber = lineNumber;
        this.columnNumber = columnNumber;
        this.modelId = (modelId != null) ? modelId : "";
        this.exception = exception;

We'll fix these things by adding a few **extra models**. Here's where SQLModel will shine. ✨

### Create Multiple Models

In **SQLModel**, any model class that has `table=True` is a **table model**.

And any model class that doesn't have `table=True` is a **data model**, these ones are actually just Pydantic models (with a couple of small extra features). 🤓