from fastapi.testclient import TestClient

from docs_src.extending_openapi.tutorial001 import app

client = TestClient(app)


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


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

client = TestClient(app)


def test_get():
    response = client.post(
        "/invoices/", json={"id": "fooinvoice", "customer": "John", "total": 5.3}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {"msg": "Invoice received"}


def test_dummy_callback():
    # Just for coverage
    invoice_notification({})


def test_openapi_schema():

                "price": 50.2,
                "tax": 10.5,
                "tags": [],
            },
        ),
    ],
)
def test_get(url, data):
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == data


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

Sie können `async def` oder einfach `def` verwenden.

Und Sie können Abhängigkeiten mit `async def` innerhalb normaler `def`-*Pfadoperation-Funktionen* oder `def`-Abhängigkeiten innerhalb von `async def`-*Pfadoperation-Funktionen*, usw. deklarieren.

Es spielt keine Rolle. **FastAPI** weiß, was zu tun ist.

/// note | "Hinweis"

@app.get("/items/{item_id}", response_model=Item)
async def read_main(item_id: str, x_token: Annotated[str, Header()]):
    if x_token != fake_secret_token:
        raise HTTPException(status_code=400, detail="Invalid X-Token header")
    if item_id not in fake_db:
        raise HTTPException(status_code=404, detail="Item not found")
    return fake_db[item_id]


@app.post("/items/", response_model=Item)

    from fastapi import Depends, FastAPI

    app = FastAPI()


    async def common_parameters(q: str | None = None, skip: int = 0, limit: int = 100):
        return {"q": q, "skip": skip, "limit": limit}


    @app.get("/items/")
    async def read_items(commons: Annotated[dict, Depends(common_parameters)]):
        return commons
    ```
    """

      Request(
        url = server.url("/"),
        body = "def".toRequestBody("text/plain".toMediaType()),
      )
    executeSynchronously(request)
      .assertCode(200)
      .assertBody("abc")
    val recordedRequest = server.takeRequest()
    assertThat(recordedRequest.method).isEqualTo("POST")
    assertThat(recordedRequest.body.readUtf8()).isEqualTo("def")
    assertThat(recordedRequest.headers["Content-Length"]).isEqualTo("3")

from fastapi.testclient import TestClient

from docs_src.metadata.tutorial001 import app

client = TestClient(app)


def test_items():
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [{"name": "Katana"}]


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

```

**FastAPI** 会创建一个 `BackgroundTasks` 类型的对象并作为该参数传入。

## 创建一个任务函数

创建要作为后台任务运行的函数。

它只是一个可以接收参数的标准函数。

它可以是 `async def` 或普通的 `def` 函数，**FastAPI** 知道如何正确处理。

在这种情况下，任务函数将写入一个文件（模拟发送电子邮件）。

由于写操作不使用 `async` 和 `await`，我们用普通的 `def` 定义函数：

```Python hl_lines="6-9"
{!../../docs_src/background_tasks/tutorial001.py!}
```

## 添加后台任务

在你的 *路径操作函数* 里，用 `.add_task()` 方法将任务函数传到 *后台任务* 对象中：

from inline_snapshot import snapshot
from sqlalchemy import StaticPool
from sqlmodel import SQLModel, create_engine
from sqlmodel.main import default_registry

from tests.utils import needs_py39, needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()