that, with Peewee's current implementation, multiple tasks could be using the same `threading.local` variable and end up sharing the same connection and data (that they shouldn't), and at the same time, if they execute sync I/O-blocking code in a threadpool (as with normal `def` functions in FastAPI, in *path operations*  and dependencies), that code won't have access to the database state variables, even while it's part of the same request and it should be able to get access to the same database state....

# Status Codes

You can import the `status` module from `fastapi`:

```python
from fastapi import status
```

`status` is provided directly by Starlette.

It contains a group of named constants (variables) with integer status codes.

For example:

* 200: `status.HTTP_200_OK`
* 403: `status.HTTP_403_FORBIDDEN`
* etc.

```Python hl_lines="6"
{!../../../docs_src/response_status_code/tutorial001.py!}
```

`201` is the status code for "Created".

But you don't have to memorize what each of these codes mean.

You can use the convenience variables from `fastapi.status`.

```Python hl_lines="1  6"
{!../../../docs_src/response_status_code/tutorial002.py!}
```

## Caveat

If you need to perform heavy background computation and you don't necessarily need it to be run by the same process (for example, you don't need to share memory, variables, etc), you might benefit from using other bigger tools like <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>.

Estos **type hints** son una nueva sintaxis, desde Python 3.6+, que permite declarar el <abbr title="por ejemplo: str, int, float, bool">tipo</abbr> de una variable.

Usando las declaraciones de tipos para tus variables, los editores y otras herramientas pueden proveerte un soporte mejor.

### Classes en tant que types

Vous pouvez aussi déclarer une classe comme type d'une variable.

Disons que vous avez une classe `Person`, avec une variable `name` :

```Python hl_lines="1-3"
{!../../../docs_src/python_types/tutorial010.py!}
```

Vous pouvez ensuite déclarer une variable de type `Person` :

```Python hl_lines="6"
{!../../../docs_src/python_types/tutorial010.py!}
```

Doing that in separated functions that don't share logic or variables together is more difficult as you would need to store values in global variables or similar tricks.

Because of that, it's now recommended to instead use the `lifespan` as explained above.

## Technical Details

```Python hl_lines="3"
{!../../../docs_src/first_steps/tutorial001.py!}
```

In diesem Beispiel ist die Variable `app` eine „Instanz“ der Klasse `FastAPI`.

Dies wird der Hauptinteraktionspunkt für die Erstellung all Ihrer APIs sein.

Die Variable `app` ist dieselbe, auf die sich der Befehl `uvicorn` bezieht:

<div class="termy">

```console
$ uvicorn main:app --reload

* Der *Pfad* kann einen <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md#key-expression" class="external-link" target="_blank">OpenAPI-3-Ausdruck</a> enthalten (mehr dazu weiter unten), wo er Variablen mit Parametern und Teilen des ursprünglichen Requests verwenden kann, der an *Ihre API* gesendet wurde.

### Der Callback-Pfadausdruck

Imaginez que vous vouliez que votre paramètre se nomme `item-query`.

Comme dans la requête :

```
http://127.0.0.1:8000/items/?item-query=foobaritems
```

Mais `item-query` n'est pas un nom de variable valide en Python.

Le nom le plus proche serait `item_query`.

Mais vous avez vraiment envie que ce soit exactement `item-query`...