{
                    "loc": ["query", "query"],
                    "msg": "value is not a valid integer",
                    "type": "type_error.integer",
                }
            ]
        }
    )


def test_query_frozenset_query_1_query_1_query_2():
    response = client.get("/query/frozenset/?query=1&query=1&query=2")
    assert response.status_code == 200
    assert response.json() == "1,2"

## Importer `Query`

Pour cela, importez d'abord `Query` depuis `fastapi` :

```Python hl_lines="3"
{!../../../docs_src/query_params_str_validations/tutorial002.py!}
```

## Utiliser `Query` comme valeur par défaut

Construisez ensuite la valeur par défaut de votre paramètre avec `Query`, en choisissant 50 comme `max_length` :

```Python hl_lines="9"

    ```Python hl_lines="11"
    {!> ../../../docs_src/query_params_str_validations/tutorial008_py310.py!}
    ```

## 📛 🔢

🌈 👈 👆 💚 🔢 `item-query`.

💖:

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

✋️ `item-query` 🚫 ☑ 🐍 🔢 📛.

🔐 🔜 `item_query`.

✋️ 👆 💪 ⚫️ ⚫️❔ `item-query`...

⤴️ 👆 💪 📣 `alias`, & 👈 📛 ⚫️❔ 🔜 ⚙️ 🔎 🔢 💲:

                    "type": "missing",
                    "loc": ["query", "token"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["query", "token"],
                    "msg": "field required",

                    "type": "missing",
                    "loc": ["query", "token"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["query", "token"],
                    "msg": "field required",

from pydantic.fields import FieldInfo
from typing_extensions import Annotated, deprecated

from ._compat import PYDANTIC_V2, PYDANTIC_VERSION, Undefined

_Unset: Any = Undefined


class ParamTypes(Enum):
    query = "query"
    header = "header"
    path = "path"
    cookie = "cookie"


class Param(FieldInfo):
    in_: ParamTypes

    def __init__(
        self,
        default: Any = Undefined,
        *,

* Il _path_ `/items/{item_id}` ha un _path parameter_ `item_id` che deve essere un `int`.
* Il _path_ `/items/{item_id}` ha una `str` _query parameter_ `q`.

### Documentazione interattiva dell'API

Adesso vai all'indirizzo <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

</p>
<p align="center">
    FastAPI to szybki, prosty w nauce i gotowy do użycia w produkcji framework
</p>
<p align="center">
<a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest" target="_blank">
    <img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg" alt="Test">
</a>
<a href="https://codecov.io/gh/tiangolo/fastapi" target="_blank">

</p>
<p align="center">
    Готовый к внедрению высокопроизводительный фреймворк, простой в изучении и разработке.
</p>
<p align="center">
<a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test">
</a>

*在这里，我们在路径操作函数*和依赖项中都使用着 SQLAlchemy 模型，它将与外部数据库进行通信。

这会需要一些“等待时间”。

但是由于 SQLAlchemy 不具有`await`直接使用的兼容性，因此类似于：

```Python
user = await db.query(User).first()
```

...相反，我们可以使用：

```Python
user = db.query(User).first()
```

然后我们应该声明*路径操作函数*和不带 的依赖关系`async def`，只需使用普通的`def`，如下：

```Python hl_lines="2"
@app.get("/users/{user_id}", response_model=schemas.User)