```

!!! tip
    Notice that you are not passing the router itself (`invoices_callback_router`) to `callback=`, but the attribute `.routes`, as in `invoices_callback_router.routes`.

### Check the docs

Now you can start your app and go to <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

* `read(size)`: Reads `size` (`int`) bytes/characters of the file.
* `seek(offset)`: Goes to the byte position `offset` (`int`) in the file.
    * E.g., `await myfile.seek(0)` would go to the start of the file.
    * This is especially useful if you run `await myfile.read()` once and then need to read the contents again.
* `close()`: Closes the file.

As all these methods are `async` methods, you need to "await" them.

    * Make sure you add your link to the start of the corresponding section.
* To help [translate the documentation](contributing.md#translations){.internal-link target=_blank} to your language.
    * You can also help to review the translations created by others.

participant tasks as Background tasks

    Note over client,tasks: Can raise exception for dependency, handled after response is sent
    Note over client,operation: Can raise HTTPException and can change the response
    client ->> dep: Start request
    Note over dep: Run code up to yield
    opt raise
        dep -->> handler: Raise HTTPException
        handler -->> client: HTTP error response
        dep -->> dep: Raise other exception
    end

该镜像包含一个**自动调整**机制，用于根据可用的 CPU 核心设置**worker进程数**。

它具有**合理的默认值**，但你仍然可以使用**环境变量**或配置文件更改和更新所有配置。

它还支持通过一个脚本运行<a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker#pre_start_path" class="external-link" target="_blank">**开始前的先前步骤** </a>。

!!! tip

async def read_items(
    item_id: UUID,
    start_datetime: datetime = Body(),
    end_datetime: datetime = Body(),
    process_after: timedelta = Body(),
    repeat_at: time | None = Body(default=None),
):
    start_process = start_datetime + process_after
    duration = end_datetime - start_process
    return {
        "item_id": item_id,
        "start_datetime": start_datetime,
        "end_datetime": end_datetime,

<div class="termy">

```console
$ python ./scripts/docs.py live

<span style="color: green;">[INFO]</span> Serving on http://127.0.0.1:8008
<span style="color: green;">[INFO]</span> Start watching changes
<span style="color: green;">[INFO]</span> Start detecting changes
```

</div>

Il servira la documentation sur `http://127.0.0.1:8008`.

<div class="termy">

```console
$ python ./scripts/docs.py live

<span style="color: green;">[INFO]</span> Serving on http://127.0.0.1:8008
<span style="color: green;">[INFO]</span> Start watching changes
<span style="color: green;">[INFO]</span> Start detecting changes
```

</div>

文档服务将运行在 `http://127.0.0.1:8008`。

这样，你可以编辑文档 / 源文件并实时查看更改。

!!! tip
    或者你也可以手动执行和该脚本一样的操作

Schauen wir uns die Deployment-Konzepte von früher noch einmal an:

* Sicherheit – HTTPS
* Beim Hochfahren ausführen
* Neustarts
* **Replikation (die Anzahl der laufenden Prozesse)**
* Arbeitsspeicher
* Schritte vor dem Start

Bis zu diesem Punkt, in allen Tutorials in der Dokumentation, haben Sie wahrscheinlich ein **Serverprogramm** wie Uvicorn ausgeführt, in einem **einzelnen Prozess**.

!!! tip
    As FastAPI is an async framework, one request could start being processed, and before finishing, another request could be received and start processing as well, and it all could be processed in the same thread.