import importlib

from fastapi.testclient import TestClient


def get_client() -> TestClient:
    from docs_src.conditional_openapi import tutorial001_py39

    importlib.reload(tutorial001_py39)

    client = TestClient(tutorial001_py39.app)
    return client


def test_disable_openapi(monkeypatch):
    monkeypatch.setenv("OPENAPI_URL", "")
    # Load the client after setting the env var
    client = get_client()

{* ../../docs_src/sub_applications/tutorial001_py39.py hl[3, 6:8] *}

### Подприложение { #sub-application }

Затем создайте подприложение и его *операции пути*.

Это подприложение — обычное стандартное приложение FastAPI, но именно оно будет «смонтировано»:

{* ../../docs_src/sub_applications/tutorial001_py39.py hl[11, 14:16] *}

### Смонтируйте подприложение { #mount-the-sub-application }

## 多文件上传

FastAPI 支持同时上传多个文件。

可用同一个「表单字段」发送含多个文件的「表单数据」。

上传多个文件时，要声明含 `bytes` 或 `UploadFile` 的列表（`List`）：

{* ../../docs_src/request_files/tutorial002_py39.py hl[8,13] *}

接收的也是含 `bytes` 或 `UploadFile` 的列表（`list`）。


/// note | 技术细节

也可以使用 `from starlette.responses import HTMLResponse`。

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[1,4,7:9] *}

### Generar el esquema de OpenAPI { #generate-the-openapi-schema }

Luego, usa la misma función de utilidad para generar el esquema de OpenAPI, dentro de una función `custom_openapi()`:

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[2,15:21] *}

### Modificar el esquema de OpenAPI { #modify-the-openapi-schema }

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[1,4,7:9] *}

### Das OpenAPI-Schema generieren { #generate-the-openapi-schema }

Verwenden Sie dann dieselbe Hilfsfunktion, um das OpenAPI-Schema innerhalb einer `custom_openapi()`-Funktion zu generieren:

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[2,15:21] *}

### Das OpenAPI-Schema ändern { #modify-the-openapi-schema }

```Python
images: list[Image]
```

como en:

{* ../../docs_src/body_nested_models/tutorial008_py39.py hl[13] *}

## Soporte de editor en todas partes { #editor-support-everywhere }

Y obtienes soporte de editor en todas partes.

Incluso para elementos dentro de listas:

from fastapi.testclient import TestClient

from docs_src.custom_response.tutorial001b_py39 import app

client = TestClient(app)


def test_get_custom_response():
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [{"item_id": "Foo"}]


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

{* ../../docs_src/sub_applications/tutorial001_py39.py hl[3, 6:8] *}

### Sub-application { #sub-application }

Then, create your sub-application, and its *path operations*.

This sub-application is just another standard FastAPI application, but this is the one that will be "mounted":

{* ../../docs_src/sub_applications/tutorial001_py39.py hl[11, 14:16] *}

Mas é a maneira mais simples de focar no lado do servidor de WebSockets e ter um exemplo funcional:

{* ../../docs_src/websockets/tutorial001_py39.py hl[2,6:38,41:43] *}

## Crie um `websocket` { #create-a-websocket }

Em sua aplicação **FastAPI**, crie um `websocket`:

{* ../../docs_src/websockets/tutorial001_py39.py hl[1,46:47] *}

/// note | Detalhes Técnicos

Você também poderia usar `from starlette.websockets import WebSocket`.

from unittest.mock import patch

from docs_src.python_types.tutorial008_py39 import process_items


def test_process_items():
    with patch("builtins.print") as mock_print:
        process_items({"a": 1.0, "b": 2.5})

    assert mock_print.call_count == 4
    call_args = [arg.args for arg in mock_print.call_args_list]
    assert call_args == [
        ("a",),
        (1.0,),
        ("b",),
        (2.5,),