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"],
                    "msg": "String should match pattern '^fixedquery$'",

                        "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"],

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: str | None = Query(
        default=None,
        alias="item-query",
        title="Query string",
        description="Query string for the items to search in the database that have a good match",
        min_length=3,
        max_length=50,
        pattern="^fixedquery$",
        deprecated=True,
    ),
):

///

## Declare atributos do modelo

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

```Python hl_lines="11-14"
{!../../docs_src/body_fields/tutorial001.py!}
```

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

/// note | "Detalhes técnicos"

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,
        alias="item-query",
        title="Query string",
        description="Query string for the items to search in the database that have a good match",
        min_length=3,
        max_length=50,
        pattern="^fixedquery$",
        deprecated=True,

                            "required": True,
                            "schema": {"title": "Level1", "type": "string"},
                            "name": "level1",
                            "in": "query",
                        }
                    ],
                    "responses": {
                        "200": {
                            "description": "Successful Response",

import org.opensearch.index.query.MoreLikeThisQueryBuilder;
import org.opensearch.index.query.PrefixQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.QueryStringQueryBuilder;
import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;

        Smb2QueryDirectoryRequest query = new Smb2QueryDirectoryRequest(th.getConfig(), this.fileId);
        query.setFileName(this.getWildcard());
        query.setFileIndex(results[ results.length - 1 ].getFileIndex());
        query.setQueryFlags(Smb2QueryDirectoryRequest.SMB2_INDEX_SPECIFIED);
        try {
            Smb2QueryDirectoryResponse r = th.send(query);

            assert data == "Session cookie or query token value is: fakesession"
            data = websocket.receive_text()
            assert data == f"Message text was: {message}, for item ID: foo"
            message = "Message two"
            websocket.send_text(message)
            data = websocket.receive_text()
            assert data == "Session cookie or query token value is: fakesession"

            cb.query().setCrawler_Equal(Constants.T);
            cb.query().addOrderBy_SortOrder_Asc();
            cb.query().addOrderBy_Name_Asc();
            cb.fetchFirst(fessConfig.getPageScheduledJobMaxFetchSizeAsInteger());
        });
    }

    public void start(final LaCron cron) {
        scheduledJobBhv.selectCursor(cb -> {
            cb.query().setAvailable_Equal(Constants.T);