})
	}
	return stats
}

func targetStatus(ctx context.Context, h logger.Target) madmin.Status {
	if h.IsOnline(ctx) {
		return madmin.Status{Status: string(madmin.ItemOnline)}
	}
	return madmin.Status{Status: string(madmin.ItemOffline)}
}

// fetchLoggerInfo return log info
func fetchLoggerInfo(ctx context.Context) ([]madmin.Logger, []madmin.Audit) {
	var loggerInfo []madmin.Logger

* `allow_methods` - 一个允许跨域请求的 HTTP 方法列表。默认为 `['GET']`。你可以使用 `['*']` 来允许所有标准方法。
* `allow_headers` - 一个允许跨域请求的 HTTP 请求头列表。默认为 `[]`。你可以使用 `['*']` 允许所有的请求头。`Accept`、`Accept-Language`、`Content-Language` 以及 `Content-Type` 这几个请求头在[简单 CORS 请求](https://developer.mozilla.org/en-US/docs/Web/HTTP/CORS#simple_requests)中总是被允许。
* `allow_credentials` - 指示跨域请求支持 cookies。默认是 `False`。

 -----

Maven Model

 This is strictly the model for Maven POM (Project Object Model) in <<<org.apache.maven.model>>> package,
 delegating content to {{{../../api/maven-api-model/index.html}Maven 4 API immutable model}}. All the effective model
 building logic from multiple POMs and building context is done in {{{../maven-model-builder/}Maven Model Builder}}.

 The following are generated from this model:

Comme vous l'avez vu dans le chapitre précédent sur les [Concepts de déploiement](concepts.md), il existe plusieurs stratégies possibles.

Ici, je vais vous montrer comment utiliser Uvicorn avec des processus workers en utilisant la commande `fastapi` ou directement la commande `uvicorn`.

/// info | Info

      - master

# This ensures that previous jobs for the PR are canceled when the PR is
# updated.
concurrency:
  group: ${{ github.workflow }}-${{ github.head_ref }}
  cancel-in-progress: true

permissions:
  contents: read

jobs:
  build:
    name: Go ${{ matrix.go-version }} on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        go-version: [1.24.x]
        os: [ubuntu-latest]

            // Más cosas aquí
    }
}
```

/// tip | Consejo

Observa el server auto-generado con un valor `url` de `/api/v1`, tomado del `root_path`.

///

En la UI de los docs en [http://127.0.0.1:9999/api/v1/docs](http://127.0.0.1:9999/api/v1/docs) se vería como:

<img src="/img/tutorial/behind-a-proxy/image03.png">

/// tip | Consejo

La UI de los docs interactuará con el server que selecciones.

**SQLModel** está construido sobre [SQLAlchemy](https://www.sqlalchemy.org/) y Pydantic. Fue creado por el mismo autor de **FastAPI** para ser la combinación perfecta para aplicaciones de FastAPI que necesiten usar **bases de datos SQL**.

/// tip | Consejo

    Item(name="Meeseeks Box", price=49.99),
]


@app.get("/items/stream", response_class=EventSourceResponse)
async def stream_items() -> AsyncIterable[ServerSentEvent]:
    yield ServerSentEvent(comment="stream of item updates")
    for i, item in enumerate(items):

        @Override
        public Object getData(AccessResultData<?> accessResultData) {
            final Map<String, Object> map = new HashMap<>();
            map.put("content", "test content");
            return map;
        }

        @Override
        public org.codelibs.fess.crawler.entity.ResultData transform(org.codelibs.fess.crawler.entity.ResponseData responseData) {

package loggertypes

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[TargetConsole-1]
	_ = x[TargetHTTP-2]
	_ = x[TargetKafka-3]
}

const _TargetType_name = "ConsoleHTTPKafka"

var _TargetType_index = [...]uint8{0, 7, 11, 16}

func (i TargetType) String() string {