"type": "integer",
                                "default": 0,
                            },
                            "name": "skip",
                            "in": "query",
                        },
                        {
                            "required": False,
                            "schema": {
                                "title": "Limit",

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})

    * Depende del `query_extractor`, y asigna el valor que devuelve al parámetro `q`.
* También declara una `last_query` cookie opcional, como un `str`.
    * Si el usuario no proporcionó ningún query `q`, usamos el último query utilizado, que guardamos previamente en una cookie.

## Usa la dependencia { #use-the-dependency }

Entonces podemos usar la dependencia con:

{* ../../docs_src/dependencies/tutorial005_an_py310.py hl[23] *}

            return params;
        }

        /**
         * Sets the search query string.
         *
         * @param query the query string
         * @return this builder for method chaining
         */
        public SearchConditionBuilder query(final String query) {
            this.query = query;
            return this;
        }

        /**

</p>
<p align="center">
    FastAPI framework, high performance, easy to learn, fast to code, ready for production
</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
</a>

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: FilterParams = Query()):

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.QUERY));
        items.add(new SuggestItem(new String[] { "word2" }, readings, new String[] { "content" }, 0, 5, -1, new String[] { "tag2" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.QUERY));

        PopularWordsResponse response = new PopularWordsResponse("test-index", 100, words, 10, items);

 */
public class CacheForm {

    /** Document ID for cache operations. */
    @Required
    @Size(max = 100)
    public String docId;

    /** Highlight query parameters. */
    public String[] hq;

    /** Search query parameter for error page. */
    public String q;

    /** Number of results parameter for error page. */
    public String num;

    /** Sort parameter for error page. */