"multi": false,
        "name": "scrape_jobs",
        "options": [],
        "query": {
          "query": "label_values(job)",
          "refId": "StandardVariableQuery"
        },
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "type": "query"
      }
    ]
  },
  "time": {
    "from": "now-1h",
    "to": "now"

</p>
<p align="center">
    Framework FastAPI, haute performance, facile à apprendre, rapide à coder, prêt pour la 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>

{* ../../docs_src/background_tasks/tutorial002.py hl[13,15,22,25] *}

Dans cet exemple, les messages seront écrits dans le fichier `log.txt` après que la réponse soit envoyée.

S'il y avait une `query` (paramètre nommé `q`) dans la requête, alors elle sera écrite dans `log.txt` via une tâche d'arrière-plan.

# 벤치마크

독립적인 TechEmpower 벤치마크에 따르면 **FastAPI** 애플리케이션이 Uvicorn을 사용하여 <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">가장 빠른 Python 프레임워크 중 하나</a>로 실행되며, Starlette와 Uvicorn 자체(내부적으로 FastAPI가 사용하는 도구)보다 조금 아래에 위치합니다.

그러나 벤치마크와 비교를 확인할 때 다음 사항을 염두에 두어야 합니다.

## 벤치마크와 속도

벤치마크를 확인할 때, 일반적으로 여러 가지 유형의 도구가 동등한 것으로 비교되는 것을 볼 수 있습니다.

			t.Errorf("no error should returns when query %v, but got %v", user.ID, err)
		}
	}

	for _, user := range []User{users[0], users[2]} {
		result = User{}
		if err := DB.Where("id = ?", user.ID).First(&result).Error; err != nil {
			t.Errorf("no error should returns when query %v, but got %v", user.ID, err)
		}
	}

	if err := DB.Delete(&users[0]).Error; err != nil {

            assertEquals(expected.get(i), subRangeMap.get(i));
          }

          for (Range<Integer> query : RANGES) {
            assertEquals(
                expected.asMapOfRanges().get(query), subRangeMap.asMapOfRanges().get(query));
          }
        }
      }
    }
  }

  public void testSubSubRangeMap() {

	</component>
	<component name="queryStringBuilder" class="org.codelibs.fess.util.QueryStringBuilder" instance="prototype">
	</component>
	<component name="queryParser" class="org.codelibs.fess.query.parser.QueryParser">
	</component>
	<component name="facetInfo" class="org.codelibs.fess.entity.FacetInfo">
	</component>
	<component name="queryHelper" class="org.codelibs.fess.helper.QueryHelper">

    }

    /**
     * This stream class is unbuffered. Therefore this method will always
     * return 0 for streams connected to regular files. However, a
     * stream created from a Named Pipe this method will query the server using a
     * "peek named pipe" operation and return the number of available bytes
     * on the server.
     */
    @Override
    public int available() throws IOException {

/// note | Нотатки

Це підтримується з версії FastAPI  `0.115.0`. 🤓

///

/// tip | Порада

Ця ж техніка застосовується до `Query`, `Cookie`, та `Header`. 😎

///

## Cookie з Pydantic-моделлю

Оголосіть **cookie-параметри**, які Вам потрібні, у **Pydantic-моделі**, а потім оголосіть параметр як `Cookie`:

## Usando `Depends` e outros

Nos endpoints WebSocket você pode importar do `fastapi` e usar:

* `Depends`
* `Security`
* `Cookie`
* `Header`
* `Path`
* `Query`

Eles funcionam da mesma forma que para outros endpoints FastAPI/*operações de rota*:

{*../../docs_src/websockets/tutorial002_an_py310.py hl[68:69,82]*}

/// info | Informação