from typing import Annotated, Union

from fastapi import BackgroundTasks, Depends, FastAPI

app = FastAPI()


def write_log(message: str):
    with open("log.txt", mode="a") as log:
        log.write(message)


def get_query(background_tasks: BackgroundTasks, q: Union[str, None] = None):
    if q:
        message = f"found query: {q}\n"
        background_tasks.add_task(write_log, message)
    return q

from fastapi import FastAPI
from fastapi.responses import JSONResponse
from pydantic import BaseModel


class Item(BaseModel):
    id: str
    value: str


class Message(BaseModel):
    message: str


app = FastAPI()


@app.get(
    "/items/{item_id}",
    response_model=Item,
    responses={
        404: {"model": Message, "description": "The item was not found"},
        200: {

from fastapi import BackgroundTasks, Depends, FastAPI
from typing_extensions import Annotated

app = FastAPI()


def write_log(message: str):
    with open("log.txt", mode="a") as log:
        log.write(message)


def get_query(background_tasks: BackgroundTasks, q: Union[str, None] = None):
    if q:
        message = f"found query: {q}\n"
        background_tasks.add_task(write_log, message)
    return q

class User(BaseModel):
    username: str
    email: Union[str, None] = None
    full_name: Union[str, None] = None
    disabled: Union[bool, None] = None


def fake_decode_token(token):
    return User(
        username=token + "fakedecoded", email="******@****.***", full_name="John Doe"
    )


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float = 10.5


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The Bar fighters", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",
        "description": "There goes my baz",

            }
            buf.put((byte) i);
        }
        buf.flip();
        String str = cs.decode(buf).toString();
        return str;
    }


    private static String[] splitString ( String str, int maxLen ) {
        int num = str.length() / maxLen;
        if ( str.length() % maxLen != 0 ) {
            num++;
        }
        String strings[] = new String[num];

    * 요청과 응답에서 `2008-09-15T15:53:00+05:00`와 같은 ISO 8601 형식의 `str`로 표현됩니다.
* `datetime.date`:
    * 파이썬의 `datetime.date`.
    * 요청과 응답에서 `2008-09-15`와 같은 ISO 8601 형식의 `str`로 표현됩니다.
* `datetime.time`:
    * 파이썬의 `datetime.time`.
    * 요청과 응답에서 `14:23:55.003`와 같은 ISO 8601 형식의 `str`로 표현됩니다.
* `datetime.timedelta`:
    * 파이썬의 `datetime.timedelta`.
    * 요청과 응답에서 전체 초(seconds)의 `float`로 표현됩니다.

到目前为止，您一直在使用常见的数据类型，如:

* `int`
* `float`
* `str`
* `bool`

但是您也可以使用更复杂的数据类型。

您仍然会拥有现在已经看到的相同的特性:

* 很棒的编辑器支持。
* 传入请求的数据转换。
* 响应数据转换。
* 数据验证。
* 自动补全和文档。

## 其他数据类型

下面是一些你可以使用的其他数据类型:

* `UUID`:
    * 一种标准的 "通用唯一标识符" ，在许多数据库和系统中用作ID。
    * 在请求和响应中将以 `str` 表示。
* `datetime.datetime`:
    * 一个 Python `datetime.datetime`.
    * 在请求和响应中将表示为 ISO 8601 格式的 `str` ，比如: `2008-09-15T15:53:00+05:00`.

class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: int | None = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):
    id: int


class HeroCreate(HeroBase):
    secret_name: str


class HeroUpdate(HeroBase):
    name: str | None = None
    age: int | None = None

     * proto:ts0.win.net[\pipe\srvsvc]
     *
     * If the server is absent it is set to "127.0.0.1"
     */ 
    protected static DcerpcBinding parseBinding(String str) throws DcerpcException {
        int state, mark, si;
        char[] arr = str.toCharArray();
        String proto = null, key = null;
        DcerpcBinding binding = null;

        state = mark = si = 0;
        do {
            char ch = arr[si];