So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

But if you want to directly use **Trio**, then you can use **Hypercorn** as it supports it. ✨

### Install Hypercorn with Trio

First you need to install Hypercorn with Trio support:

<div class="termy">

```console
$ pip install "hypercorn[trio]"
---> 100%
```

</div>

### Run with Trio

    'ignore:datetime\.datetime\.utcfromtimestamp\(\) is deprecated and scheduled for removal in a future version\..*:DeprecationWarning:sqlalchemy',
    # TODO: remove after upgrading python-jose to a version that explicitly supports Python 3.12
    # also, if it won't receive an update, consider replacing python-jose with some alternative
    # related issues:
    #   - https://github.com/mpdavis/python-jose/issues/332

## Install `passlib`

PassLib is a great Python package to handle password hashes.

It supports many secure hashing algorithms and utilities to work with them.

The recommended algorithm is "Bcrypt".

So, install PassLib with Bcrypt:

<div class="termy">

```console
$ pip install "passlib[bcrypt]"

            Swagger UI (that provides the `/docs` interface) has better support for the
            OpenAPI-specific examples than the JSON Schema `examples`, that's the main
            use case for this.

            Read more about it in the

J'y ai ensuite contribué, pour le rendre entièrement compatible avec JSON Schema, pour supporter différentes manières de définir les déclarations de contraintes, et pour améliorer le support des éditeurs (vérifications de type, autocomplétion) sur la base des tests effectués dans plusieurs éditeurs.

Mais que `file_path` lui-même doit contenir un *chemin*, comme `home/johndoe/myfile.txt` par exemple.

Donc, l'URL pour ce fichier pourrait être : `/files/home/johndoe/myfile.txt`.

### Support d'OpenAPI

OpenAPI ne supporte pas de manière de déclarer un paramètre de chemin contenant un *chemin*, cela pouvant causer des scénarios difficiles à tester et définir.

But in most of the cases where we need to do something like this, we want the model just to **filter/remove** some of the data as in this example.

* <a href="https://pyyaml.org/wiki/PyYAMLDocumentation" target="_blank"><code>pyyaml</code></a> - Richiesto per il supporto dello `SchemaGenerator` di Starlette (probabilmente non ti serve con FastAPI).
* <a href="https://graphene-python.org/" target="_blank"><code>graphene</code></a> - Richiesto per il supporto di `GraphQLApp`.

Usate da FastAPI / Starlette:

!!! check "Inspired **FastAPI** to"
    Define extra validations for data types using the "default" value of model attributes. This improves editor support, and it was not available in Pydantic before.

    This actually inspired updating parts of Pydantic, to support the same validation declaration style (all this functionality is now already available in Pydantic).