from __future__ import annotations

from typing import Annotated

from fastapi import Depends, FastAPI, Request
from fastapi.testclient import TestClient

from .utils import needs_py310


class Dep:
    def __call__(self, request: Request):
        return "test"


@needs_py310
def test_stringified_annotations():
    app = FastAPI()

    client = TestClient(app)

    @app.get("/test/")

        /**
         * Sets the URL for this request data.
         *
         * @param url the URL string to be set
         * @return the current RequestDataContext instance for method chaining
         */
        public RequestDataContext url(final String url) {
            data.setUrl(url);
            return this;
        }

        /**
         * Sets the weight for the request data.
         *

     * geo-distance queries for each configured geographic field.
     *
     * @param request the HTTP servlet request containing geographic parameters
     * @throws InvalidQueryException if geo point format is invalid or parsing fails
     */
    public GeoInfo(final HttpServletRequest request) {

        final FessConfig fessConfig = ComponentUtil.getFessConfig();

De esa forma, tu aplicación no tendrá que generar el esquema cada vez que un usuario abra la documentación de tu API.

Se generará solo una vez, y luego se usará el mismo esquema cacheado para las siguientes requests.

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[13:14,25:26] *}

### Sobrescribir el método { #override-the-method }

Ahora puedes reemplazar el método `.openapi()` por tu nueva función.

Es wird nur einmal generiert und dann wird dasselbe zwischengespeicherte Schema für die nächsten <abbr title="Request – Anfrage: Daten, die der Client zum Server sendet">Requests</abbr> verwendet.

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[13:14,25:26] *}

### Die Methode überschreiben { #override-the-method }

from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse


class UnicornException(Exception):
    def __init__(self, name: str):
        self.name = name


app = FastAPI()


@app.exception_handler(UnicornException)
async def unicorn_exception_handler(request: Request, exc: UnicornException):
    return JSONResponse(
        status_code=418,

func (api objectAPIHandlers) DeleteBucketWebsiteHandler(w http.ResponseWriter, r *http.Request) {
	writeSuccessResponseHeadersOnly(w)
}

// GetBucketCorsHandler - GET bucket cors, a dummy api
func (api objectAPIHandlers) GetBucketCorsHandler(w http.ResponseWriter, r *http.Request) {
	ctx := newContext(r, w, "GetBucketCors")

	defer logger.AuditLog(ctx, w, r, mustGetClaimsFromToken(r))

# Request Parameters

Here's the reference information for the request parameters.

These are the special functions that you can put in *path operation function* parameters or dependency functions with `Annotated` to get data from the request.

It includes:

* `Query()`
* `Path()`
* `Body()`
* `Cookie()`
* `Header()`
* `Form()`
* `File()`

You can import them all directly from `fastapi`:

```python

Y el sistema de contenedores distribuido con el **load balancer** **distribuiría las requests** a cada uno de los contenedores con tu aplicación **en turnos**. Así, cada request podría ser manejada por uno de los múltiples **contenedores replicados** ejecutando tu aplicación.

        repositorySystem.injectAuthentication(request.getRepositorySession(), internalRepositories);

        List<ArtifactRepository> dominantRepositories;
        List<ArtifactRepository> recessiveRepositories;

        if (ProjectBuildingRequest.RepositoryMerging.REQUEST_DOMINANT.equals(request.getRepositoryMerging())) {