from typing import Any, Dict, Optional, Sequence, Type, Union

from pydantic import BaseModel, create_model
from starlette.exceptions import HTTPException as StarletteHTTPException
from starlette.exceptions import WebSocketException as StarletteWebSocketException
from typing_extensions import Annotated, Doc


class HTTPException(StarletteHTTPException):
    """
    An HTTP exception you can raise in your own code to show errors to the client.

Sie könnten einen benutzerdefinierten Exceptionhandler mittels `@app.exception_handler()` hinzufügen:

```Python hl_lines="5-7  13-18  24"
{!../../docs_src/handling_errors/tutorial003.py!}
```

Wenn Sie nun `/unicorns/yolo` anfragen, `raise`d die *Pfadoperation* eine `UnicornException`.

Aber diese wird von `unicorn_exception_handler` gehandhabt.

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

```

////

## `Union` 或者 `anyOf`

响应可以声明为两种类型的 `Union` 类型，即该响应可以是两种类型中的任意类型。

在 OpenAPI 中可以使用 `anyOf` 定义。

为此，请使用 Python 标准类型提示 <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>：

/// note | "笔记"

```

### Exemplo na UI da documentação

Com qualquer um dos métodos acima, os `/docs` vão ficar assim:

<img src="/img/tutorial/body-fields/image01.png">

### `Body` com vários `examples`

Alternativamente ao único `example`, você pode passar `examples` usando um `dict` com **vários examples**, cada um com informações extras que serão adicionadas no **OpenAPI** também.

As chaves do `dict` identificam cada exemplo, e cada valor é outro `dict`.

// <signedNumber>    ::= <number> | <sign><number>
// <suffix>          ::= <binarySI> | <decimalExponent> | <decimalSI>
// <binarySI>        ::= Ki | Mi | Gi | Ti | Pi | Ei
//
// 	(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)
//
// <decimalSI>       ::= m | "" | k | M | G | T | P | E
//
// 	(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)
//

### Creëer het

* Maak het bestand `main.py` aan met daarin:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */

package jcifs.dcerpc;


/**
 * Unicode string type wrapper
 * 
 */
public class UnicodeString extends rpc.unicode_string {

    boolean zterm;


    /**
     * 
     * @param zterm

```

由于我们必须用 `Query(default=None)` 替换默认值 `None`，`Query` 的第一个参数同样也是用于定义默认值。

所以：

```Python
q: Union[str, None] = Query(default=None)
```

...使得参数可选，等同于：

```Python
q: str = None
```

但是 `Query` 显式地将其声明为查询参数。

然后，我们可以将更多的参数传递给 `Query`。在本例中，适用于字符串的 `max_length` 参数：

```Python
q: Union[str, None] = Query(default=None, max_length=50)
```

将会校验数据，在数据无效时展示清晰的错误信息，并在 OpenAPI 模式的*路径操作*中记录该参​​数。

from ._compat import PYDANTIC_V2, UndefinedType, Url, _model_dump


# Taken from Pydantic v1 as is
def isoformat(o: Union[datetime.date, datetime.time]) -> str:
    return o.isoformat()


# Taken from Pydantic v1 as is
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int of there's no exponent, otherwise float

pkg go/types, method (*Tuple) Variables() iter.Seq[*Var] #66626
pkg go/types, method (*TypeList) Types() iter.Seq[Type] #66626
pkg go/types, method (*TypeParamList) TypeParams() iter.Seq[*TypeParam] #66626