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)

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() == {

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.

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`.

Essa exceção será manipulada, contudo, pelo `unicorn_exception_handler`.

Dessa forma você receberá um erro "limpo", com o HTTP status code `418` e um JSON com o conteúdo:

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

/// note | Detalhes Técnicos

Você também pode usar `from starlette.requests import Request` e `from starlette.responses import JSONResponse`.

Pero será manejado por el `unicorn_exception_handler`.

Así que recibirás un error limpio, con un código de estado HTTP de `418` y un contenido JSON de:

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

/// note | Nota Técnica

También podrías usar `from starlette.requests import Request` y `from starlette.responses import JSONResponse`.

Aber diese wird von `unicorn_exception_handler` gehandhabt.

Sie erhalten also einen sauberen Fehler mit einem HTTP-Statuscode von `418` und dem JSON-Inhalt:

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

/// note | Technische Details

Sie könnten auch `from starlette.requests import Request` und `from starlette.responses import JSONResponse` verwenden.

But it will be handled by the `unicorn_exception_handler`.

So, you will receive a clean error, with an HTTP status code of `418` and a JSON content of:

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

/// note | Technical Details

You could also use `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

## Execução de dependências com `yield` { #execution-of-dependencies-with-yield }

A sequência de execução é mais ou menos como esse diagrama. O tempo passa do topo para baixo. E cada coluna é uma das partes interagindo ou executando código.

```mermaid
sequenceDiagram

participant client as Cliente
participant handler as Manipulador de exceções