from fastapi import Depends, FastAPI, HTTPException

app = FastAPI()


class InternalError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except InternalError:
        print("Oops, we didn't raise again, Britney 😱")


@app.get("/items/{item_id}")
def get_item(item_id: str, username: str = Depends(get_username)):
    if item_id == "portal-gun":
        raise InternalError(

app = FastAPI()


@app.exception_handler(UnicornException)
async def unicorn_exception_handler(request: Request, exc: UnicornException):
    return JSONResponse(
        status_code=418,
        content={"message": f"Oops! {exc.name} did something. There goes a rainbow..."},
    )


@app.get("/unicorns/{name}")
async def read_unicorn(name: str):
    if name == "yolo":
        raise UnicornException(name=name)

.top5 {
	margin-top: 0.5em;
}

.top10 {
	margin-top: 1.0em;
}

.top15 {
	margin-top: 1.5em;
}

.top20 {
	margin-top: 2.0em;
}

.top25 {
	margin-top: 2.5em;
}

.top30 {
	margin-top: 3.0em;
}

.container .text-muted {
	margin: 20px 0;
}

.notification {
	text-align: center;
}

ul.has-error {
	color: #dd4b39 !important;
	list-style-type: none;
	padding: 0;
}

def test_get_exception():
    response = client.get("/unicorns/yolo")
    assert response.status_code == 418, response.text
    assert response.json() == {
        "message": "Oops! yolo did something. There goes a rainbow..."
    }


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {

 * It maintains a list of ReadingConverter instances and iterates through them, applying each converter to the input text and accumulating the results.
 * The chain stops processing when the maximum number of readings is reached.
 */
public class ReadingConverterChain implements ReadingConverter {
    /**
     * Constructs a new {@link ReadingConverterChain}.
     */

You can combine `dataclasses` with other type annotations in many different combinations to form complex data structures.

Check the in-code annotation tips above to see more specific details.

## Learn More { #learn-more }

You can also combine `dataclasses` with other Pydantic models, inherit from them, include them in your own models, etc.

    assertTrue(tokL.isSupertypeOf(new TypeToken<List<?>>() {}));

    TypeToken<Second> tokS = new TypeToken<Second>() {};
    assertTrue(tokS.isSupertypeOf(new TypeToken<Second>() {}));
    assertTrue(tokS.isSupertypeOf(new TypeToken<Third>() {}));
    assertTrue(tokS.isSupertypeOf(new TypeToken<Third<String, Integer>>() {}));

    TypeToken<List[]> tokA = new TypeToken<List[]>() {};

                messages.addErrorsFailedToStartJob(GLOBAL, id);
            });
        });
        return asJson(new ApiResponse().status(Status.OK).result());
    }

    /**
     * Stops a scheduled job by ID.
     *
     * @param id the ID of the scheduled job to stop
     * @return JSON response indicating success or failure
     */
    // PUT /api/admin/scheduler/{id}/stop

Но оно будет обработано `unicorn_exception_handler`.

Таким образом, вы получите чистую ошибку с кодом состояния HTTP `418` и содержимым JSON:

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Технические детали

Также можно использовать `from starlette.requests import Request` и `from starlette.responses import JSONResponse`.

     */
    public void addExcludeFilter(final String regexp) {
        if (StringUtil.isNotBlank(regexp)) {
            urlFilter.addExclude(regexp);
        }
    }

    /**
     * Stops the crawling process.
     * Sets the crawler status to DONE and interrupts all crawler threads.
     */
    public void stop() {
        if (logger.isInfoEnabled()) {