if send_none:
        return None
    else:
        return {"name": "invalid", "price": 3.2}


@app.get("/items/innerinvalid", response_model=Item)
def get_innerinvalid():
    return {"name": "double invalid", "price": "foo", "owner_ids": ["foo", "bar"]}


@app.get("/items/invalidlist", response_model=List[Item])
def get_invalidlist():
    return [
        {"name": "foo"},
        {"name": "bar", "price": "bar"},

                    },
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", 1],
                    "msg": "Expecting property name enclosed in double quotes: line 1 column 2 (char 1)",

                    },
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", 1],
                    "msg": "Expecting property name enclosed in double quotes: line 1 column 2 (char 1)",

```

!!! tip
    You could need the parameter to contain `/home/johndoe/myfile.txt`, with a leading slash (`/`).

    In that case, the URL would be: `/files//home/johndoe/myfile.txt`, with a double slash (`//`) between `files` and `home`.

## Recap

With **FastAPI**, by using short, intuitive and standard Python type declarations, you get:

* Editor support: error checks, autocompletion, etc.

```

!!! tip "Astuce"
    Vous pourriez avoir besoin que le paramètre contienne `/home/johndoe/myfile.txt`, avec un slash au début (`/`).

    Dans ce cas, l'URL serait : `/files//home/johndoe/myfile.txt`, avec un double slash (`//`) entre `files` et `home`.

## Récapitulatif

Avec **FastAPI**, en utilisant les déclarations de type rapides, intuitives et standards de Python, vous bénéficiez de :

@app.get("/items/invalid", response_model=Item)
def get_invalid():
    return {"name": "invalid", "price": "foo"}


@app.get("/items/innerinvalid", response_model=Item)
def get_innerinvalid():
    return {"name": "double invalid", "price": "foo", "owner_ids": ["foo", "bar"]}


@app.get("/items/invalidlist", response_model=List[Item])
def get_invalidlist():
    return [
        {"name": "foo"},
        {"name": "bar", "price": "bar"},

This will have the data that is actually stored in the database.

We don't create it as a subclass of Pydantic's `BaseModel` but as a subclass of our own `User`, because it will have all the attributes in `User` plus a couple more:

```Python hl_lines="31-33"
{!../../../docs_src/nosql_databases/tutorial001.py!}
```

!!! note
    Notice that we have a `hashed_password` and a `type` field that will be stored in the database.

* Log warning about `email-validator` only when used. PR [#946](https://github.com/tiangolo/fastapi/pull/946).
* Simplify [Peewee docs](https://fastapi.tiangolo.com/advanced/sql-databases-peewee/) with double dependency with `yield`. PR [#947](https://github.com/tiangolo/fastapi/pull/947).

### Restart After Crash

But in those cases with really bad errors that crash the running **process**, you would want an external component that is in charge of **restarting** the process, at least a couple of times...

!!! tip

Mais en même temps, les fonctions définies avec `async def` doivent être appelées avec `await` et donc dans des fonctions définies elles aussi avec `async def`.

Vous avez donc remarqué ce paradoxe d'oeuf et de la poule, comment appelle-t-on la première fonction `async` ?