from functools import lru_cache
from typing import Annotated

from fastapi import Depends, FastAPI

from . import config

app = FastAPI()


@lru_cache
def get_settings():
    return config.Settings()


@app.get("/info")
async def info(settings: Annotated[config.Settings, Depends(get_settings)]):
    return {
        "app_name": settings.app_name,
        "admin_email": settings.admin_email,

`@lru_cache` ist Teil von `functools`, welches Teil von Pythons Standardbibliothek ist. Weitere Informationen dazu finden Sie in der <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python Dokumentation für `@lru_cache`</a>.

## Zusammenfassung

from functools import lru_cache

from fastapi import Depends, FastAPI

from .config import Settings

app = FastAPI()


@lru_cache
def get_settings():
    return Settings()


@app.get("/info")
async def info(settings: Settings = Depends(get_settings)):
    return {
        "app_name": settings.app_name,
        "admin_email": settings.admin_email,
        "items_per_user": settings.items_per_user,

from functools import lru_cache
from pathlib import Path
from typing import Any, List, Union

import material
from mkdocs.config.defaults import MkDocsConfig
from mkdocs.structure.files import File, Files
from mkdocs.structure.nav import Link, Navigation, Section
from mkdocs.structure.pages import Page

non_traslated_sections = [
    "reference/",
    "release-notes.md",
]


@lru_cache

from functools import lru_cache
from typing import Annotated

from fastapi import Depends, FastAPI

from .config import Settings

app = FastAPI()


@lru_cache
def get_settings():
    return Settings()


@app.get("/info")
async def info(settings: Annotated[Settings, Depends(get_settings)]):
    return {
        "app_name": settings.app_name,
        "admin_email": settings.admin_email,

`@lru_cache` 🍕 `functools` ❔ 🍕 🐍 🐩 🗃, 👆 💪 ✍ 🌅 🔃 ⚫️ <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">🐍 🩺 `@lru_cache`</a>.

## 🌃

👆 💪 ⚙️ Pydantic ⚒ 🍵 ⚒ ⚖️ 📳 👆 🈸, ⏮️ 🌐 🏋️ Pydantic 🏷.

* ⚙️ 🔗 👆 💪 📉 🔬.
* 👆 💪 ⚙️ `.env` 📁 ⏮️ ⚫️.

`@lru_cache` is part of `functools` which is part of Python's standard library, you can read more about it in the <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python docs for `@lru_cache`</a>.

## Recap

这样，它的行为几乎就像是一个全局变量。但是由于它使用了依赖项函数，因此我们可以轻松地进行测试时的覆盖。

`@lru_cache` 是 `functools` 的一部分，它是 Python 标准库的一部分，您可以在<a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python 文档中了解有关 `@lru_cache` 的更多信息</a>。

## 小结

您可以使用 Pydantic 设置处理应用程序的设置或配置，利用 Pydantic 模型的所有功能。

* 通过使用依赖项，您可以简化测试。
* 您可以使用 `.env` 文件。

import json
import logging
import os
import re
import shutil
import subprocess
from functools import lru_cache
from http.server import HTTPServer, SimpleHTTPRequestHandler
from importlib import metadata
from multiprocessing import Pool
from pathlib import Path
from typing import Any, Dict, List, Optional, Union

import mkdocs.commands.build
import mkdocs.commands.serve
import mkdocs.config
import mkdocs.utils
import typer

* Start Portuguese translations. PR [#1210](https://github.com/tiangolo/fastapi/pull/1210) by [@cassiobotaro](https://github.com/cassiobotaro).
* Update docs for Pydantic's `Settings` using a dependency with `@lru_cache()`. PR [#1214](https://github.com/tiangolo/fastapi/pull/1214).