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  1. docs_src/background_tasks/tutorial002_an_py310.py

            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, q: Annotated[str, Depends(get_query)]
    ):
    Python
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Sat Mar 18 12:29:59 GMT 2023
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  2. docs/ja/docs/tutorial/background-tasks.md

    ```Python hl_lines="6-9"
    {!../../../docs_src/background_tasks/tutorial001.py!}
    ```
    
    ## バックグラウンドタスクの追加
    
    *path operations 関数* 内で、`.add_task()` メソッドを使用してタスク関数を *background tasks* オブジェクトに渡します。
    
    ```Python hl_lines="14"
    {!../../../docs_src/background_tasks/tutorial001.py!}
    ```
    
    `.add_task()` は以下の引数を受け取ります:
    
    * バックグラウンドで実行されるタスク関数 (`write_notification`)。
    * タスク関数に順番に渡す必要のある引数の列 (`email`)。
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Mon Jan 15 16:12:39 GMT 2024
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  3. docs/de/docs/tutorial/background-tasks.md

    ```Python hl_lines="6-9"
    {!../../../docs_src/background_tasks/tutorial001.py!}
    ```
    
    ## Den Hintergrundtask hinzufügen
    
    Übergeben Sie innerhalb Ihrer *Pfadoperation-Funktion* Ihre Taskfunktion mit der Methode `.add_task()` an das *Hintergrundtasks*-Objekt:
    
    ```Python hl_lines="14"
    {!../../../docs_src/background_tasks/tutorial001.py!}
    ```
    
    `.add_task()` erhält als Argumente:
    
    Plain Text
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  4. docs/de/docs/advanced/async-tests.md

    !!! tip "Tipp"
    Plain Text
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  5. docs/em/docs/advanced/async-tests.md

    🔬 🔢 🔜 🔁, 👆 💪 🔜 🤙 (& `await`) 🎏 `async` 🔢 ↖️ ⚪️➡️ 📨 📨 👆 FastAPI 🈸 👆 💯, ⚫️❔ 👆 🔜 🤙 👫 🙆 🙆 👆 📟.
    
    !!! tip
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  6. docs/en/docs/tutorial/background-tasks.md

    ```Python hl_lines="14"
    {!../../../docs_src/background_tasks/tutorial001.py!}
    ```
    
    `.add_task()` receives as arguments:
    
    * A task function to be run in the background (`write_notification`).
    * Any sequence of arguments that should be passed to the task function in order (`email`).
    * Any keyword arguments that should be passed to the task function (`message="some notification"`).
    
    ## Dependency Injection
    
    Plain Text
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  7. docs_src/background_tasks/tutorial002_an.py

            log.write(message)
    
    
    def get_query(background_tasks: BackgroundTasks, q: Union[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, q: Annotated[str, Depends(get_query)]
    ):
    Python
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Sat Mar 18 12:29:59 GMT 2023
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  8. docs/en/docs/deployment/manually.md

    Starlette and **FastAPI** are based on <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, which makes them compatible with both Python's standard library <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> and <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.
    
    Plain Text
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  9. fastapi/background.py

    
        @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(
                    """
    Python
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    - Last Modified: Tue Apr 02 02:48:51 GMT 2024
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  10. docs/en/docs/async.md

    It's called "asynchronous" because the computer / program doesn't have to be "synchronized" with the slow task, waiting for the exact moment that the task finishes, while doing nothing, to be able to take the task result and continue the work.
    
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