response = Response("Internal server error", status_code=500)
    try:
        request.state.db = SessionLocal()
        response = await call_next(request)
    finally:
        request.state.db.close()
    return response


# Dependency
def get_db(request: Request):
    return request.state.db


@app.post("/users/", response_model=schemas.User)

    response = Response("Internal server error", status_code=500)
    try:
        request.state.db = SessionLocal()
        response = await call_next(request)
    finally:
        request.state.db.close()
    return response


# Dependency
def get_db(request: Request):
    return request.state.db


@app.post("/users/", response_model=schemas.User)

from fastapi.requests import HTTPConnection
from fastapi.testclient import TestClient
from starlette.websockets import WebSocket

app = FastAPI()
app.state.value = 42


async def extract_value_from_http_connection(conn: HTTPConnection):
    return conn.app.state.value


@app.get("/http")
async def get_value_by_http(value: int = Depends(extract_value_from_http_connection)):
    return value


@app.websocket("/ws")

For example, in Visual Studio Code, you can:

* Go to the "Debug" panel.
* "Add configuration...".
* 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:

from starlette.datastructures import Headers as Headers  # noqa: F401
from starlette.datastructures import QueryParams as QueryParams  # noqa: F401
from starlette.datastructures import State as State  # noqa: F401
from starlette.datastructures import UploadFile as StarletteUploadFile
from typing_extensions import Annotated, Doc


class UploadFile(StarletteUploadFile):
    """
    A file uploaded in a request.

  - 획기적인 변화 🚨
  - 팁과 요령 ✅

  ## 트위터에서 FastAPI 팔로우하기

  [Follow @fastapi on **Twitter**](https://twitter.com/fastapi) 를 팔로우하여 **FastAPI** 에 대한 최신 뉴스를 얻을 수 있습니다. 🐦

  ## Star **FastAPI** in GitHub

  GitHub에서 FastAPI에 "star"를 붙일 수 있습니다(오른쪽 상단의 star 버튼을 클릭): https://github.com/tiangolo/fastapi. ⭐️

  스타를 늘림으로써, 다른 사용자들이 좀 더 쉽게 찾을 수 있고, 많은 사람들에게 유용한 것임을 나타낼 수 있습니다.

  ## GitHub 저장소에서  릴리즈 확인

But Gunicorn supports working as a **process manager** and allowing users to tell it which specific **worker process class** to use. Then Gunicorn would start one or more **worker processes** using that class.

And **Uvicorn** has a **Gunicorn-compatible worker class**.

<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>

Он запустит сайт документации по адресу: `http://127.0.0.1:8008`.

Es unterstützt auch die Ausführung von <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker#pre_start_path" class="external-link" target="_blank">**Vorab-Schritten vor dem Start** </a> mit einem Skript.

!!! tip "Tipp"

A container is running as long as the **main process** (command or program) is running.

A container normally has a **single process**, but it's also possible to start subprocesses from the main process, and that way you will have **multiple processes** in the same container.