@dataclass
class Item:
    name: str
    count: int


class DictablePerson(Person):
    def __iter__(self):
        return ((k, v) for k, v in self.__dict__.items())


class DictablePet(Pet):
    def __iter__(self):
        return ((k, v) for k, v in self.__dict__.items())


class Unserializable:
    def __iter__(self):
        raise NotImplementedError()

    @property
    def __dict__(self):

from fastapi import Depends, FastAPI, WebSocket
from fastapi.testclient import TestClient


class Session:
    def __init__(self) -> None:
        self.data = ["foo", "bar", "baz"]
        self.open = True

    def __iter__(self) -> Generator[str, None, None]:
        for item in self.data:
            if self.open:
                yield item
            else:
                raise ValueError("Session closed")


@contextmanager

from fastapi.responses import StreamingResponse
from fastapi.testclient import TestClient


class Session:
    def __init__(self) -> None:
        self.data = ["foo", "bar", "baz"]
        self.open = True

    def __iter__(self) -> Generator[str, None, None]:
        for item in self.data:
            if self.open:
                yield item
            else:
                raise ValueError("Session closed")


@contextmanager

                "did not raise WebSocketDisconnect on __enter__"
            )  # pragma: no cover


def test_websocket_invalid_data(app: FastAPI):
    client = TestClient(app)
    with pytest.raises(WebSocketDisconnect):
        with client.websocket_connect("/items/foo/ws?q=bar&token=some-token"):
            pytest.fail(
                "did not raise WebSocketDisconnect on __enter__"

class MySuperContextManager:
    def __init__(self):
        self.db = DBSession()

    def __enter__(self):
        return self.db

    def __exit__(self, exc_type, exc_value, traceback):
        self.db.close()


async def get_db():
    with MySuperContextManager() as db:

    # since we're creating a new limiter for each call, any non-zero limit
    # works (1 is arbitrary)
    exit_limiter = CapacityLimiter(1)
    try:
        yield await run_in_threadpool(cm.__enter__)
    except Exception as e:
        ok = bool(
            await anyio.to_thread.run_sync(
                cm.__exit__, type(e), e, e.__traceback__, limiter=exit_limiter
            )
        )
        if not ok:

import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel


class MyUuid:
    def __init__(self, uuid_string: str):
        self.uuid = uuid_string

    def __str__(self):
        return self.uuid

    @property  # type: ignore
    def __class__(self):
        return uuid.UUID

    @property
    def __dict__(self):

        if self.endpoint_path:
            context += f"\n    {self.endpoint_path}"
        return context

    def __str__(self) -> str:
        message = f"{len(self._errors)} validation error{'s' if len(self._errors) != 1 else ''}:\n"
        for err in self._errors:
            message += f"  {err}\n"

///

En Python, puedes crear Context Managers <a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank">creando una clase con dos métodos: `__enter__()` y `__exit__()`</a>.

También puedes usarlos dentro de las dependencias de **FastAPI** con `yield` usando
`with` o `async with` en la función de dependencia:

///

В Python можно создавать менеджеры контекста, <a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank">создав класс с двумя методами: `__enter__()` и `__exit__()`</a>.

Их также можно использовать внутри зависимостей **FastAPI** с `yield`, применяя операторы
`with` или `async with` внутри функции зависимости: