"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",

                                .get(stream -> stream.map(l -> labelTypeBhv.selectEntity(cb -> cb.query().setValue_Equal(l)).map(e -> {
                                    final List<ElevateWordToLabel> mList = elevateWordToLabelBhv.selectList(cb -> {
                                        cb.query().setElevateWordId_Equal(id);
                                        cb.query().setLabelTypeId_Equal(e.getId());
                                    });

## Імпорт `Field`

Спочатку вам потрібно імпортувати це:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning

Зверніть увагу, що `Field` імпортується прямо з `pydantic`, а не з `fastapi`, як всі інші (`Query`, `Path`, `Body` тощо).

///

import org.opensearch.core.xcontent.XContentParser;
import org.opensearch.index.query.AbstractQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryShardContext;

/**
 * A query builder for a stored LTR (Learning to Rank) query.
 * This builder constructs a query that uses a pre-trained LTR model
 * to re-rank search results based on a given set of features.
 */

## まとめ

`Query`と`Path`（そしてまだ見たことない他のもの）では、[クエリパラメータと文字列の検証](query-params-str-validations.md){.internal-link target=_blank}と同じようにメタデータと文字列の検証を宣言することができます。

また、数値のバリデーションを宣言することもできます:

* `gt`: より大きい（`g`reater `t`han）
* `ge`: 以上（`g`reater than or `e`qual）
* `lt`: より小さい（`l`ess `t`han）
* `le`: 以下（`l`ess than or `e`qual）

/// info | 情報

`Query`、`Path`などは後に共通の`Param`クラスのサブクラスを見ることになります。（使う必要はありません）

    }


def test_query_params_str_validations_q_query(client: TestClient):
    response = client.get("/items/", params={"q": "query"})
    assert response.status_code == 200
    assert response.json() == {
        "items": [{"item_id": "Foo"}, {"item_id": "Bar"}],
        "q": "query",
    }


def test_query_params_str_validations_q_short(client: TestClient):
    response = client.get("/items/", params={"q": "fa"})

                                    {"type": "null"},
                                ],
                                "title": "Item-Query",
                            },
                            "required": False,
                            "name": "item-query",
                            "in": "query",
                        }
                    ],
                }
            }
        },
        "components": {

    if log.is_file():
        os.remove(log)  # pragma: no cover
    response = client.post("/send-notification/******@****.***?q=some-query")
    assert response.status_code == 200, response.text
    assert response.json() == {"message": "Message sent"}
    with open("./log.txt") as f:

  @Test
  fun toJavaNetUrl() {
    val httpUrl = "http://username:password@host/path?query#fragment".toHttpUrl()
    val javaNetUrl = httpUrl.toUrl()
    assertThat(javaNetUrl.toString())
      .isEqualTo("http://username:password@host/path?query#fragment")
  }

  @Test
  fun toUri() {
    val httpUrl = "http://username:password@host/path?query#fragment".toHttpUrl()
    val uri = httpUrl.toUri()
    assertThat(uri.toString())

///

## Declare atributos do modelo { #declare-model-attributes }

Você pode então utilizar `Field` com atributos do modelo:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field` funciona da mesma forma que `Query`, `Path` e `Body`, ele possui todos os mesmos parâmetros, etc.

/// note | Detalhes Técnicos