Then wrap the WSGI (e.g. Flask) app with the middleware.

And then mount that under a path.

```Python hl_lines="2-3  23"
{!../../../docs_src/wsgi/tutorial001.py!}
```

## Check it

Now, every request under the path `/v1/` will be handled by the Flask application.

And the rest will be handled by **FastAPI**.

* **安全密码**，默认使用密码哈希
* **JWT 令牌**身份验证
* **SQLAlchemy** 模型（独立于 Flask 扩展，可直接用于 Celery Worker）
* 基础的用户模型（可按需修改或删除）
* **Alembic** 迁移
* **CORS**（跨域资源共享）
* **Celery** Worker 可从后端其它部分有选择地导入并使用模型和代码
* REST 后端测试基于 Pytest，并与 Docker 集成，可独立于数据库实现完整的 API 交互测试。因为是在 Docker 中运行，每次都可从头构建新的数据存储（使用 ElasticSearch、MongoDB、CouchDB 等数据库，仅测试 API 运行）

RabbitMQ 또는 Redis와 같은 메시지/작업 큐 시스템 보다 복잡한 구성이 필요한 경향이 있지만, 여러 작업 프로세스를 특히 여러 서버의 백그라운드에서 실행할 수 있습니다.

예제를 보시려면 [프로젝트 생성기](../project-generation.md){.internal-link target=\_blank} 를 참고하세요. 해당 예제에는 이미 구성된 `Celery`가 포함되어 있습니다.

---

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *

```Python hl_lines="2-5  15  21"
{!../../../docs_src/handling_errors/tutorial006.py!}
```

Их тяжелее настраивать, также им нужен брокер сообщений наподобие RabbitMQ или Redis, но зато они позволяют вам запускать фоновые задачи в нескольких процессах и даже на нескольких серверах.

Для примера, посмотрите [Project Generators](../project-generation.md){.internal-link target=_blank}, там есть проект с уже настроенным Celery.

Containers (mainly Linux containers) are a very **lightweight** way to package applications including all their dependencies and necessary files while keeping them isolated from other containers (other applications or components) in the same system.

    This is here only to preview a site with translations already built.

    Make sure you run the build-all command first.
    """
    typer.echo("Warning: this is a very simple server.")
    typer.echo("For development, use the command live instead.")
    typer.echo("This is here only to preview a site with translations already built.")

OAuth2 foi projetado para que o backend ou a API pudesse ser independente do servidor que autentica o usuário.

Mas nesse caso, a mesma aplicação **FastAPI** irá lidar com a API e a autenticação.

Então, vamos rever de um ponto de vista simplificado:

* O usuário digita o `username` e a `senha` no frontend e aperta `Enter`.

    But this guide shows you, more or less, how they are intended to be used.

### Using Pydantic's `exclude_unset` parameter

If you want to receive partial updates, it's very useful to use the parameter `exclude_unset` in Pydantic's model's `.model_dump()`.

Like `item.model_dump(exclude_unset=True)`.

!!! info