ACCESS_TOKEN_EXPIRE_MINUTES = 30


fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "$argon2id$v=19$m=65536,t=3,p=4$wagCPXjifgvUFBzq4hqe3w$CYaIb8sB+wtD+Vu/P4uod1+Qof8h+1g7bbDlBID48Rc",
        "disabled": False,
    }
}


class Token(BaseModel):
    access_token: str
    token_type: str

ACCESS_TOKEN_EXPIRE_MINUTES = 30


fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "$argon2id$v=19$m=65536,t=3,p=4$wagCPXjifgvUFBzq4hqe3w$CYaIb8sB+wtD+Vu/P4uod1+Qof8h+1g7bbDlBID48Rc",
        "disabled": False,
    }
}


class Token(BaseModel):
    access_token: str
    token_type: str

`get_current_user` usará una función de utilidad (falsa) que creamos, que toma un token como un `str` y devuelve nuestro modelo de Pydantic `User`:

{* ../../docs_src/security/tutorial002_an_py310.py hl[19:22,26:27] *}

## Inyectar al usuario actual { #inject-the-current-user }

Entonces ahora podemos usar el mismo `Depends` con nuestro `get_current_user` en la *path operation*:

The *path operation decorator* receives an optional argument `dependencies`.

It should be a `list` of `Depends()`:

{* ../../docs_src/dependencies/tutorial006_an_py39.py hl[19] *}

These dependencies will be executed/solved the same way as normal dependencies. But their value (if they return any) won't be passed to your *path operation function*.

/// tip

</div>

### Modell für die Ausgabe { #model-for-output }

Wenn Sie jedoch dasselbe Modell als Ausgabe verwenden, wie hier:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py hl[19] *}

... dann, weil `description` einen Defaultwert hat, wird es, wenn Sie für dieses Feld **nichts zurückgeben**, immer noch diesen **Defaultwert** haben.

### Modell für Ausgabe-Responsedaten { #model-for-output-response-data }

`get_current_user` usará uma função utilitária (falsa) que criamos, que recebe um token como uma `str` e retorna nosso modelo Pydantic `User`:

{* ../../docs_src/security/tutorial002_an_py310.py hl[19:22,26:27] *}

## Injetar o usuário atual { #inject-the-current-user }

Então agora nós podemos usar o mesmo `Depends` com nosso `get_current_user` na *operação de rota*:

## *경로 작동 데코레이터*에 `dependencies` 추가하기

*경로 작동 데코레이터*는 `dependencies`라는 선택적인 인자를 받습니다.

`Depends()`로 된 `list`이어야합니다:

{* ../../docs_src/dependencies/tutorial006_an_py39.py hl[19] *}

이러한 의존성들은 기존 의존성들과 같은 방식으로 실행/해결됩니다. 그러나 값은 (무엇이든 반환한다면) *경로 작동 함수*에 제공되지 않습니다.

/// tip | 팁

일부 편집기에서는 사용되지 않는 함수 매개변수를 검사하고 오류로 표시합니다.

*경로 작동 데코레이터*에서 `dependencies`를 사용하면 편집기/도구 오류를 피하며 실행되도록 할 수 있습니다.

            (byte) 13, (byte) 5, (byte) 60, (byte) 52, (byte) 44, (byte) 36, (byte) 28, (byte) 20, (byte) 12, (byte) 4, (byte) 27,
            (byte) 19, (byte) 11, (byte) 3 };
    private static int[] totrot = { 1, 2, 4, 6, 8, 10, 12, 14, 15, 17, 19, 21, 23, 25, 27, 28 };

            // Check for Windows reserved names
            String upperComponent = component.toUpperCase();
            if (WINDOWS_RESERVED.contains(upperComponent) || upperComponent.matches("^(CON|PRN|AUX|NUL|COM[1-9]|LPT[1-9])(\\.[^.]+)?$")) {
                throw new SmbException("Path contains Windows reserved name: " + component);
            }

            // Check for dangerous characters in strict mode

        testBuffer[13] = 0x00;
        testBuffer[14] = 0x00;
        testBuffer[15] = 0x01;
        testBuffer[16] = 0x00; // Sub-authority
        testBuffer[17] = 0x00;
        testBuffer[18] = 0x00;
        testBuffer[19] = 0x00;

        // Test decode
        int size = ace.decode(testBuffer, 0, testBuffer.length);

        // Verify results
        assertEquals(32, size);
        assertTrue(ace.isAllow());