{
                    "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"

    ```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`, & 👈 📛 ⚫️❔ 🔜 ⚙️ 🔎 🔢 💲:

def test_query_params_str_validations_item_query_nonregexquery(client: TestClient):
    response = client.get("/items/", params={"item-query": "nonregexquery"})
    assert response.status_code == 422
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "string_pattern_mismatch",
                    "loc": ["query", "item-query"],

    Aber **FastAPI** wird wissen, dass es zuerst `query_extractor` auflösen muss, um dessen Resultat `query_or_cookie_extractor` zu übergeben, wenn dieses aufgerufen wird.

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

            "detail": [
                {
                    "type": "missing",
                    "loc": ["query", "needy"],
                    "msg": "Field required",
                    "input": None,
                },
                {
                    "type": "int_parsing",
                    "loc": ["query", "skip"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",

                    "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",

    `Cookie` es una clase "hermana" de `Path` y `Query`. También hereda de la misma clase común `Param`.

    Pero recuerda que cuando importas `Query`, `Path`, `Cookie`  y otros de `fastapi`, en realidad son funciones que devuelven clases especiales.

!!! info
    Para declarar cookies, necesitas usar `Cookie`, porque de lo contrario los parámetros serían interpretados como parámetros de query.

## Resumen

    {!> ../../../docs_src/body_fields/tutorial001.py!}
    ```

`Field` 的工作方式和 `Query`、`Path`、`Body` 相同，参数也相同。

!!! note "技术细节"

    实际上，`Query`、`Path` 都是 `Params` 的子类，而 `Params` 类又是 Pydantic 中 `FieldInfo` 的子类。

    Pydantic 的 `Field` 返回也是 `FieldInfo` 的类实例。

    `Body` 直接返回的也是 `FieldInfo` 的子类的对象。后文还会介绍一些 `Body` 的子类。

    注意，从 `fastapi` 导入的 `Query`、`Path` 等对象实际上都是返回特殊类的函数。

!!! tip "提示"

from typing import Union

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Union[str, None] = Query(default=None, min_length=3, max_length=50),
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})