from contextlib import asynccontextmanager

from fastapi import FastAPI


def fake_answer_to_everything_ml_model(x: float):
    return x * 42


ml_models = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    # Load the ML model
    ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model
    yield
    # Clean up the ML models and release the resources
    ml_models.clear()

from contextlib import asynccontextmanager

from fastapi import FastAPI
from fastapi.testclient import TestClient

items = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    items["foo"] = {"name": "Fighters"}
    items["bar"] = {"name": "Tenders"}
    yield
    # clean up items
    items.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/items/{item_id}")
async def read_items(item_id: str):

from collections.abc import AsyncGenerator
from contextlib import AbstractContextManager
from contextlib import asynccontextmanager as asynccontextmanager
from typing import TypeVar

import anyio.to_thread
from anyio import CapacityLimiter
from starlette.concurrency import iterate_in_threadpool as iterate_in_threadpool  # noqa
from starlette.concurrency import run_in_threadpool as run_in_threadpool  # noqa
from starlette.concurrency import (  # noqa

And the part after the `yield` will be executed **after** the application has finished.

### Async Context Manager { #async-context-manager }

If you check, the function is decorated with an `@asynccontextmanager`.

That converts the function into something called an "**async context manager**".

{* ../../docs_src/events/tutorial003_py310.py hl[1,13] *}

Und der Teil nach `yield` wird ausgeführt, **nachdem** die Anwendung beendet ist.

### Asynchroner Kontextmanager { #async-context-manager }

Wie Sie sehen, ist die Funktion mit einem `@asynccontextmanager` versehen.

Dadurch wird die Funktion in einen sogenannten „**asynchronen Kontextmanager**“ umgewandelt.

{* ../../docs_src/events/tutorial003_py310.py hl[1,13] *}

`yield`’den sonraki kısım ise, uygulama işini bitirdikten **sonra** çalışır.

### Async Context Manager { #async-context-manager }

Bakarsanız, fonksiyon `@asynccontextmanager` ile dekore edilmiş.

Bu da fonksiyonu "**async context manager**" denen şeye dönüştürür.

{* ../../docs_src/events/tutorial003_py310.py hl[1,13] *}

E a parte posterior ao `yield` será executada **depois** de a aplicação ter terminado.

### Gerenciador de contexto assíncrono { #async-context-manager }

Se você verificar, a função está decorada com um `@asynccontextmanager`.

Isso converte a função em algo chamado "**gerenciador de contexto assíncrono**".

{* ../../docs_src/events/tutorial003_py310.py hl[1,13] *}

{* ../../docs_src/events/tutorial003_py310.py hl[14:19] *}

函式在 `yield` 之前的部分，會在應用啟動前先執行。

`yield` 之後的部分，會在應用結束後再執行。

### 非同步內容管理器（Async Context Manager） { #async-context-manager }

你會看到這個函式被 `@asynccontextmanager` 裝飾。

它會把函式轉換成所謂的「**非同步內容管理器（async context manager）**」。

{* ../../docs_src/events/tutorial003_py310.py hl[1,13] *}

Python 中的**內容管理器（context manager）**可以用在 `with` 陳述式中，例如 `open()` 可以作為內容管理器使用：

```Python

Y la parte después del `yield` será ejecutada **después** de que la aplicación haya terminado.

### Async Context Manager { #async-context-manager }

Si revisas, la función está decorada con un `@asynccontextmanager`.

Eso convierte a la función en algo llamado un "**async context manager**".

{* ../../docs_src/events/tutorial003_py310.py hl[1,13] *}

Et la partie après le `yield` sera exécutée **après** que l'application a terminé.

### Gestionnaire de contexte asynchrone { #async-context-manager }

Si vous regardez, la fonction est décorée avec `@asynccontextmanager`.

Cela convertit la fonction en quelque chose appelé un « **gestionnaire de contexte asynchrone** ».

{* ../../docs_src/events/tutorial003_py310.py hl[1,13] *}