"description": "The kombucha mushroom people's favorite",
                },
                {"name": "Pad Thai", "description": None},
                {
                    "name": "Lonely Night",
                    "description": "The mostests lonliest nightiest of allest",
                },
            ],
        },
    ]


@needs_pydanticv2
def test_openapi_schema():

                    "name": "Salt",
                    "description": "The kombucha mushroom people's favorite",
                },
                {"name": "Pad Thai"},
                {
                    "name": "Lonely Night",
                    "description": "The mostests lonliest nightiest of allest",
                },
            ],
        },

This includes, for example:

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:

---

If you just don't know, use normal `def`.

---

**Note**: You can mix `def` and `async def` in your *path operation functions* as much as you need and define each one using the best option for you. FastAPI will do the right thing with them.

Anyway, in any of the cases above, FastAPI will still work asynchronously and be extremely fast.

But by following the steps above, it will be able to do some performance optimizations.

### Single Container

If you have a simple setup, with a **single container** that then starts multiple **worker processes** (or also just one process), then you could run those previous steps in the same container, right before starting the process with the app. The official Docker image supports this internally.

درجہ بندی کی طرح ہے:

<ul style="direction: rtl;">
    <li><div style="text-align: right;">ASGI :<b>Uvicorn</b> سرور</div></li>
    <ul>
        <li><div style="text-align: right;"><b>Starlette</b>:  (Uvicorn استعمال کرتا ہے) ایک ویب مائیکرو فریم ورک </div></li>
        <ul>

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_我們使用 **FastAPI** 來建立產生**預測**結果的 **REST** 伺服器。 [for Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>마이크로소프트</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_**FastAPI** 라이브러리를 채택하여 **예측**을 얻기 위해 쿼리를 실행 할 수 있는 **REST** 서버를 생성했습니다. [Ludwig을 위해]_"

* Select "Python"
* Run the debugger with the option "`Python: Current File (Integrated Terminal)`".

It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.

Here's how it might look:

<img src="/img/tutorial/debugging/image01.png">

---

If you use Pycharm, you can:

* Open the "Run" menu.
* Select the option "Debug...".
* Then a context menu shows up.

Or it might be the case that you just prefer to take other courses because they adapt better to your learning style.