response = client.get("/main-depends/")
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["query", "q"],
                "msg": "Field required",
                "input": None,
            }
        ]
    }


def test_main_depends_q_foo():
    response = client.get("/main-depends/?q=foo")

     * @param boost the boost factor to apply to the query
     * @return the processed OpenSearch QueryBuilder
     */
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        return filterChain.execute(context, query, boost);
    }

    /**
     * Adds a query command to the processor.
     *

                    "type": "less_than_equal",
                    "loc": ["query", "limit"],
                    "msg": "Input should be less than or equal to 100",
                    "input": "150",
                    "ctx": {"le": 100},
                },
                {
                    "type": "greater_than_equal",
                    "loc": ["query", "offset"],
                    "msg": "Input should be greater than or equal to 0",

# Тіло запиту - Декілька параметрів

Тепер, коли ми розглянули використання `Path` та `Query`, розгляньмо більш просунуті способи оголошення тіла запиту в **FastAPI**.

## Змішування `Path`, `Query` та параметрів тіла запиту

По-перше, звісно, Ви можете вільно змішувати оголошення параметрів `Path`, `Query` та тіла запиту, і **FastAPI** правильно їх обробить.

    assert response.json() == {
        "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",

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: str | None = Query(
        default=None,
        title="Query string",
        description="Query string for the items to search in the database that have a good match",
        min_length=3,
    ),
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

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,
        title="Query string",
        description="Query string for the items to search in the database that have a good match",
        min_length=3,
    ),
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:

`Header` is a "sister" class of `Path`, `Query` and `Cookie`. It also inherits from the same common `Param` class.

But remember that when you import `Query`, `Path`, `Header`, and others from `fastapi`, those are actually functions that return special classes.

///

/// info

To declare headers, you need to use `Header`, because otherwise the parameters would be interpreted as query parameters.

///

            op.setRefreshPolicy(Constants.TRUE);
        });

    }

    /**
     * Sets up the query conditions for retrieving job logs based on the pager configuration.
     * Configures filtering and ordering for the database query.
     *
     * @param cb the condition bean for building the query
     * @param jobLogPager the pager containing filter and search criteria
     */

## 요약

`Query`, `Path`(아직 보지 못한 다른 것들도)를 사용하면 [쿼리 매개변수와 문자열 검증](query-params-str-validations.md){.internal-link target=_blank}에서와 마찬가지로 메타데이터와 문자열 검증을 선언할 수 있습니다.

그리고 숫자 검증 또한 선언할 수 있습니다:

* `gt`: 크거나(`g`reater `t`han)
* `ge`: 크거나 같은(`g`reater than or `e`qual)
* `lt`: 작거나(`l`ess `t`han)
* `le`: 작거나 같은(`l`ess than or `e`qual)

/// info | 정보