import uvicorn
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def root():
    a = "a"
    b = "b" + a
    return {"hello world": b}


if __name__ == "__main__":

  }

  public void testScheduleCallable() throws Exception {
    Callable<String> callable = () -> "hello";

    ListenableScheduledFuture<String> future =
        executorService.schedule(callable, Duration.ofMinutes(12));

    assertThat(future.get()).isEqualTo("hello");
    assertThat(recordedTimeUnit).isEqualTo(NANOSECONDS);
    assertThat(Duration.ofNanos(recordedDelay)).isEqualTo(Duration.ofMinutes(12));

          "bromfiets=>bromfiets",
          "ei=>eier",
          "kind=>kinder"
        ]
      },
      "english_keywords": {
        "type":       "keyword_marker",
        "keywords":   ["hello"]
      },
      "finnish_stop": {
        "type":       "stop",
        "stopwords":  "_finnish_"
      },
      "finnish_keywords": {
        "type":       "keyword_marker",

}

var badLexTests = []badLexTest{
	{
		"3 #define foo bar\n",
		"'#' must be first item on line",
	},
	{
		"#ifdef foo\nhello",
		"unclosed #ifdef or #ifndef",
	},
	{
		"#ifndef foo\nhello",
		"unclosed #ifdef or #ifndef",
	},
	{
		"#ifdef foo\nhello\n#else\nbye",
		"unclosed #ifdef or #ifndef",
	},
	{
		"#define A() A()\nA()",
		"recursive macro invocation",
	},
	{

        final JobLog jobLog = new JobLog(scheduledJob);

        assertEquals("Test Job", jobLog.getJobName());
        assertEquals("groovy", jobLog.getScriptType());
        assertEquals("println 'hello'", jobLog.getScriptData());
        assertEquals(Constants.RUNNING, jobLog.getJobStatus());
        assertNotNull(jobLog.getStartTime());
        assertNotNull(jobLog.getLastUpdated());

    ],
    root_path="/api/v1",
    root_path_in_servers=False,
)


@app.get("/app")
def read_main(request: Request):

    "data": "aGVsbG8="
}
```

/// tip | Consejo

`aGVsbG8=` es la codificación base64 de `hello`.

///

Y luego Pydantic decodificará el string base64 y te dará los bytes originales en el campo `data` del modelo.

Recibirás una response como:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Pydantic `bytes` para datos de salida { #pydantic-bytes-for-output-data }

{"hello":"wor{l}d"}...

{"text": "hello world\\n2nd line"}...

    prefix="/admin",
    tags=["admin"],
    dependencies=[Depends(get_token_header)],
    responses={418: {"description": "I'm a teapot"}},
)


@app.get("/")
async def root():