Вы также можете использовать OpenAPI для автоматической генерации кода для клиентов, которые взаимодействуют с API. Например, для фронтенд-, мобильных или IoT-приложений.

## Рассмотрим поэтапно

### Шаг 1: импортируйте `FastAPI`

```Python hl_lines="1"
{!../../docs_src/first_steps/tutorial001.py!}
```

* **FastAPI**:
    * 与 Starlette 使用 Uvicorn 一样，由于 **FastAPI** 使用 Starlette，因此 FastAPI 不能比 Starlette 更快。
    * FastAPI 在 Starlette 基础上提供了更多功能。例如在开发 API 时，所需的数据验证和序列化功能。FastAPI 可以帮助您自动生成 API文档，（文档在应用程序启动时自动生成，所以不会增加应用程序运行时的开销）。
    * 如果您不使用 FastAPI 而直接使用 Starlette（或诸如 Sanic，Flask，Responder 等其它工具），您则要自己实现所有的数据验证和序列化。那么最终您的应用程序会和使用 FastAPI 构建的程序有相同的开销。一般这种数据验证和序列化的操作在您应用程序的代码中会占很大比重。

* <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">👸</a>
    * ⏮️ <a href="https://ariadnegraphql.org/docs/fastapi-integration" class="external-link" target="_blank">🩺 FastAPI</a>
* <a href="https://tartiflette.io/" class="external-link" target="_blank">🍟</a>

import warnings

import pytest
from fastapi import FastAPI, File, Form, UploadFile
from fastapi.dependencies.utils import (
    multipart_incorrect_install_error,
    multipart_not_installed_error,
)


def test_incorrect_multipart_installed_form(monkeypatch):
    monkeypatch.setattr("python_multipart.__version__", "0.0.12")
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")

# History, Design and Future

Some time ago, <a href="https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920" class="external-link" target="_blank">a **FastAPI** user asked</a>:

> What’s the history of this project? It seems to have come from nowhere to awesome in a few weeks [...]

Here's a little bit of that history.

## Alternatives

# História, Design e Futuro

Há algum tempo, <a href="https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920" class="external-link" target="_blank">um usuário **FastAPI** perguntou</a>:

> Qual é a história desse projeto? Parece que surgiu do nada e se tornou incrível em poucas semanas [...]

Aqui está um pouco dessa história.

## Alternativas

from fastapi import FastAPI, Request, status
from fastapi.encoders import jsonable_encoder
from fastapi.exceptions import RequestValidationError
from fastapi.responses import JSONResponse
from pydantic import BaseModel

app = FastAPI()


@app.exception_handler(RequestValidationError)
async def validation_exception_handler(request: Request, exc: RequestValidationError):
    return JSONResponse(
        status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,

And then it just returns a `dict` containing those values.

/// info

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

Make sure you [Upgrade the FastAPI version](../../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`.

///

**FastAPI**'ya neler ilham verdi? Diğer alternatiflerle karşılaştırıldığında farkları neler? **FastAPI** diğer alternatiflerinden neler öğrendi?

## Giriş

Başkalarının daha önceki çalışmaları olmasaydı, **FastAPI** var olmazdı.

Geçmişte oluşturulan pek çok araç **FastAPI**'a ilham kaynağı olmuştur.

    * Si estás comparando Starlette, compáralo con Sanic, Flask, Django, etc. Frameworks web (o microframeworks).
* **FastAPI**:
    * De la misma manera que Starlette usa Uvicorn y no puede ser más rápido que él, **FastAPI** usa Starlette, por lo que no puede ser más rápido que él.