* 處理資料：
    * 例如，收到一個需要經過較慢處理流程的檔案時，你可以先回應「Accepted」（HTTP 202），再在背景處理該檔案。

## 使用 `BackgroundTasks` { #using-backgroundtasks }

首先，匯入 `BackgroundTasks`，並在你的路徑操作函式中定義一個型別為 `BackgroundTasks` 的參數：

{* ../../docs_src/background_tasks/tutorial001_py310.py hl[1,13] *}

**FastAPI** 會為你建立 `BackgroundTasks` 物件，並以該參數傳入。

## 建立任務函式 { #create-a-task-function }

建立一個作為背景任務執行的函式。

它只是個可接收參數的一般函式。

    * 예를 들어 처리에 오랜 시간이 걸리는 프로세스를 거쳐야 하는 파일을 받았다면, "Accepted"(HTTP 202) 응답을 반환하고 백그라운드에서 파일을 처리할 수 있습니다.

## `BackgroundTasks` 사용 { #using-backgroundtasks }

먼저 `BackgroundTasks`를 임포트하고, `BackgroundTasks` 타입 선언으로 *경로 처리 함수*에 매개변수를 정의합니다:

{* ../../docs_src/background_tasks/tutorial001_py310.py hl[1,13] *}

**FastAPI**가 `BackgroundTasks` 타입의 객체를 생성하고 해당 매개변수로 전달합니다.

## 작업 함수 생성 { #create-a-task-function }

백그라운드 작업으로 실행할 함수를 생성합니다.

* データ処理:
    * たとえば、時間のかかる処理を必要とするファイル受信時には、「Accepted」(HTTP 202) のレスポンスを返し、バックグラウンドで処理できます。

## `BackgroundTasks` の使用 { #using-backgroundtasks }

まず初めに、`BackgroundTasks` をインポートし、`BackgroundTasks` の型宣言と共に、*path operation function* のパラメーターを定義します:

{* ../../docs_src/background_tasks/tutorial001_py310.py hl[1,13] *}

**FastAPI** は、`BackgroundTasks` 型のオブジェクトを作成し、そのパラメーターに渡します。

## タスク関数の作成 { #create-a-task-function }

from fastapi import BackgroundTasks, Depends, FastAPI

app = FastAPI()


def write_log(message: str):
    with open("log.txt", mode="a") as log:
        log.write(message)


def get_query(background_tasks: BackgroundTasks, q: str | None = None):
    if q:
        message = f"found query: {q}\n"
        background_tasks.add_task(write_log, message)
    return q


@app.post("/send-notification/{email}")

    async def send_notification(email: str, background_tasks: BackgroundTasks):
        background_tasks.add_task(write_notification, email, message="some notification")
        return {"message": "Notification sent in the background"}
    ```
    """

    def add_task(
        self,
        func: Annotated[
            Callable[P, Any],
            Doc(
                """

from typing import Annotated

from fastapi import BackgroundTasks, Depends, FastAPI

app = FastAPI()


def write_log(message: str):
    with open("log.txt", mode="a") as log:
        log.write(message)


def get_query(background_tasks: BackgroundTasks, q: str | None = None):
    if q:
        message = f"found query: {q}\n"
        background_tasks.add_task(write_log, message)
    return q

from fastapi import BackgroundTasks, FastAPI

app = FastAPI()


def write_notification(email: str, message=""):
    with open("log.txt", mode="w") as email_file:
        content = f"notification for {email}: {message}"
        email_file.write(content)


@app.post("/send-notification/{email}")
async def send_notification(email: str, background_tasks: BackgroundTasks):

            body=body,
            background_tasks=background_tasks,
            response=response,
            dependency_overrides_provider=dependency_overrides_provider,
            dependency_cache=dependency_cache,
            async_exit_stack=async_exit_stack,
            embed_body_fields=embed_body_fields,
        )
        background_tasks = solved_result.background_tasks
        if solved_result.errors:

# Background Tasks - `BackgroundTasks`

You can declare a parameter in a *path operation function* or dependency function with the type `BackgroundTasks`, and then you can use it to schedule the execution of background tasks after the response is sent.

You can import it directly from `fastapi`:

```python
from fastapi import BackgroundTasks
```

__version__ = "0.135.3"

from starlette import status as status

from .applications import FastAPI as FastAPI
from .background import BackgroundTasks as BackgroundTasks
from .datastructures import UploadFile as UploadFile
from .exceptions import HTTPException as HTTPException
from .exceptions import WebSocketException as WebSocketException
from .param_functions import Body as Body