Linux-like paths MSYS uses, for example, Docker.
"""

import argparse
import os


def should_convert(var_name: str,
                   blacklist: list[str] | None,
                   whitelist_prefix: list[str] | None):
  """Check the variable name against white/black lists."""
  if blacklist and var_name in blacklist:
    return False
  if not whitelist_prefix:
    return True

| 매개변수 | 타입 | 설명 |
|----------|------|-------|
| `title` | `str` | API의 제목입니다. |
| `summary` | `str` | API에 대한 짧은 요약입니다. <small>OpenAPI 3.1.0, FastAPI 0.99.0부터 사용 가능.</small> |
| `description` | `str` | API에 대한 짧은 설명입니다. 마크다운을 사용할 수 있습니다. |
| `version` | `string` | API의 버전입니다. OpenAPI의 버전이 아닌, 여러분의 애플리케이션의 버전을 나타냅니다. 예: `2.5.0`. |
| `terms_of_service` | `str` | API 이용 약관의 URL입니다. 제공하는 경우 URL 형식이어야 합니다. |

    ],
    title: Annotated[
        str,
        Doc(
            """
            The HTML `<title>` content, normally shown in the browser tab.

            Read more about it in the
            [FastAPI docs for Custom Docs UI Static Assets](https://fastapi.tiangolo.com/how-to/custom-docs-ui-assets/)
            """
        ),
    ],
    swagger_js_url: Annotated[
        str,
        Doc(
            """

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

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: {

* Conversão de dados
* Validação de dados
* Documentação automática

## Tipos especiais e validação { #special-types-and-validation }

Além dos tipos singulares normais como `str`, `int`, `float`, etc. Você também pode usar tipos singulares mais complexos que herdam de `str`.

Para ver todas as opções possíveis, consulte a [Visão geral dos tipos do Pydantic](https://docs.pydantic.dev/latest/concepts/types/). Você verá alguns exemplos no próximo capítulo.

from pydantic_settings import BaseSettings


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

from pydantic_settings import BaseSettings


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

from collections.abc import AsyncIterable, Iterable

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None


items = [
    Item(name="Plumbus", description="A multi-purpose household device."),
    Item(name="Portal Gun", description="A portal opening device."),
    Item(name="Meeseeks Box", description="A box that summons a Meeseeks."),
]

from typing import Annotated


def say_hello(name: Annotated[str, "this is just metadata"]) -> str: