import inspect

from fastapi.openapi.docs import get_redoc_html, get_swagger_ui_html


def test_strings_in_generated_swagger():
    sig = inspect.signature(get_swagger_ui_html)
    swagger_js_url = sig.parameters.get("swagger_js_url").default  # type: ignore
    swagger_css_url = sig.parameters.get("swagger_css_url").default  # type: ignore
    swagger_favicon_url = sig.parameters.get("swagger_favicon_url").default  # type: ignore

* Those schemas will be part of the generated OpenAPI schema, and used by the automatic documentation <abbr title="User Interfaces">UIs</abbr>.

## Automatic docs

The JSON Schemas of your models will be part of your OpenAPI generated schema, and will be shown in the interactive API docs:

<img src="/img/tutorial/body/image01.png">

* Ces schémas participeront à la constitution du schéma généré OpenAPI, et seront donc utilisés par les documentations automatiquement générées.

## Documentation automatique

Les schémas JSON de vos modèles seront intégrés au schéma OpenAPI global de votre application, et seront donc affichés dans la documentation interactive de l'API :

<img src="/img/tutorial/body/image01.png">

# Özelikler

## FastAPI özellikleri

**FastAPI** sana bunları sağlıyor

### Açık standartları temel alır

///

## Les avantages d'avoir une documentation basée sur une norme, et la documentation alternative.

Le schéma généré suivant la norme <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md" class="external-link" target="_blank">OpenAPI</a>,
il existe de nombreux outils compatibles.

Grâce à cela, **FastAPI** lui-même fournit une documentation alternative (utilisant ReDoc), qui peut être lue

@needs_py39
def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/items/": {
                "get": {

        "token": "foo",
        "fileb_content_type": "text/plain",
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/files/": {
                "post": {

        "fileb_content_type": "text/plain",
    }


@needs_py39
def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/files/": {
                "post": {

///

Pydantic 모델 어트리뷰트를 선언한 것과 동일한 타입을 수신하므로 Pydantic 모델이 될 수 있지만, `List[Item]`과 같이 Pydantic 모델들의 `list`일 수도 있습니다.

FastAPI는 이 `response_model`를 사용하여:

* 출력 데이터를 타입 선언으로 변환.
* 데이터 검증.
* OpenAPI *경로 작동*의 응답에 JSON 스키마 추가.
* 자동 생성 문서 시스템에 사용.

하지만 가장 중요한 것은:

* 해당 모델의 출력 데이터 제한. 이것이 얼마나 중요한지 아래에서 볼 것입니다.

/// note | "기술 세부사항"

Это отличается от использования `APIRouter`, так как примонтированное приложение является полностью независимым.
OpenAPI и документация из вашего главного приложения не будет содержать ничего из примонтированного приложения, и т.д.

Вы можете прочитать больше об этом в **Расширенном руководстве пользователя**.

## Детали