from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    app_name: str = "Awesome API"
    admin_email: str
    items_per_user: int = 50

    def handle_data(self, data):
        self.text_parts.append(data)

    def extract_visible_text(self, html: str) -> str:
        self.reset()
        self.text_parts = []
        self.feed(html)
        return "".join(self.text_parts).strip()


def slugify(text: str) -> str:
    return py_slugify(
        text,
        replacements=[
            ("`", ""),  # `dict`s -> dicts

        app = FastAPI()

        class Item(BaseModel):
            title: str

        @app.get("/items/")
        def read_items(q: dict[str, Item] = Query(default=None)):
            pass  # pragma: no cover


def test_invalid_simple_dict():
    with pytest.raises(
        AssertionError,
        match="Query parameter 'q' must be one of the supported types",
    ):
        app = FastAPI()

from fastapi import FastAPI, Header
from pydantic import BaseModel

app = FastAPI()


class CommonHeaders(BaseModel):
    host: str
    save_data: bool
    if_modified_since: str | None = None
    traceparent: str | None = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):

* `datetime.date`：
    * Python 的 `datetime.date`。
    * 在請求與回應中會以 ISO 8601 格式的 `str` 表示，例如：`2008-09-15`。
* `datetime.time`：
    * Python 的 `datetime.time`。
    * 在請求與回應中會以 ISO 8601 格式的 `str` 表示，例如：`14:23:55.003`。
* `datetime.timedelta`：
    * Python 的 `datetime.timedelta`。
    * 在請求與回應中會以總秒數的 `float` 表示。

* `datetime.date`:
    * Python `datetime.date`.
    * 在请求和响应中将表示为 ISO 8601 格式的 `str` ，比如: `2008-09-15`.
* `datetime.time`:
    * 一个 Python `datetime.time`.
    * 在请求和响应中将表示为 ISO 8601 格式的 `str` ，比如:  `14:23:55.003`.
* `datetime.timedelta`:
    * 一个 Python `datetime.timedelta`.
    * 在请求和响应中将表示为 `float` 代表总秒数。

from typing import Annotated

from fastapi import FastAPI, Header
from pydantic import BaseModel

app = FastAPI()


class CommonHeaders(BaseModel):
    host: str
    save_data: bool
    if_modified_since: str | None = None
    traceparent: str | None = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):

from fastapi import FastAPI

app = FastAPI()


@app.get("/items/{item_id}")
async def read_user_item(
    item_id: str, needy: str, skip: int = 0, limit: int | None = None
):
    item = {"item_id": item_id, "needy": needy, "skip": skip, "limit": limit}

    b: Annotated[float, Body(allow_inf_nan=False)] = 0,
) -> str:
    return "OK"


client = TestClient(app)


@pytest.mark.parametrize(
    "value,code",
    [
        ("-1", 200),
        ("inf", 200),
        ("-inf", 200),
        ("nan", 200),
        ("0", 200),
        ("342", 200),
    ],
)
def test_allow_inf_nan_param_true(value: str, code: int):
    response = client.post(f"/?x={value}")

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


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


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User):