"""FastAPI framework, high performance, easy to learn, fast to code, ready for production"""

__version__ = "0.135.3"

from starlette import status as status

from .applications import FastAPI as FastAPI
from .background import BackgroundTasks as BackgroundTasks
from .datastructures import UploadFile as UploadFile
from .exceptions import HTTPException as HTTPException
from .exceptions import WebSocketException as WebSocketException

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item = Body(
        openapi_examples={
            "normal": {
                "summary": "A normal example",

```toml
[tool.fastapi]
entrypoint = "backend.main:app"
```

which would be equivalent to:

```python
from backend.main import app
```

### `fastapi dev` with path { #fastapi-dev-with-path }

You can also pass the file path to the `fastapi dev` command, and it will guess the FastAPI app object to use:

```console
$ fastapi dev main.py
```

```toml
[tool.fastapi]
entrypoint = "backend.main:app"
```

was äquivalent wäre zu:

```python
from backend.main import app
```

### `fastapi dev` mit Pfad { #fastapi-dev-with-path }

Sie können auch den Dateipfad an den Befehl `fastapi dev` übergeben, und er wird das zu verwendende FastAPI-App-Objekt erraten:

```console
$ fastapi dev main.py
```

```console
$ fastapi deploy

Deploying to FastAPI Cloud...

✅ Deployment successful!

🐔 Ready the chicken! Your app is ready at https://myapp.fastapicloud.dev
```

</div>

以上です！その URL からアプリにアクセスできます。✨

## FastAPI Cloud について { #about-fastapi-cloud }

**[FastAPI Cloud](https://fastapicloud.com)** は、**FastAPI** の作者とチームによって開発されています。

最小限の手間で API を**構築**・**デプロイ**・**利用**できるように工程を簡素化します。

# Templates { #templates }

You can use any template engine you want with **FastAPI**.

A common choice is Jinja2, the same one used by Flask and other tools.

There are utilities to configure it easily that you can use directly in your **FastAPI** application (provided by Starlette).

## Install dependencies { #install-dependencies }

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and install `jinja2`:

///

**FastAPI** 将自动对请求中的数据进行转换，因此 `item` 参数将接收指定的内容，`user` 参数也是如此。

它将执行对复合数据的校验，并且像现在这样为 OpenAPI 模式和自动化文档对其进行记录。

## 请求体中的单一值 { #singular-values-in-body }

与使用 `Query` 和 `Path` 为查询参数和路径参数定义额外数据的方式相同，**FastAPI** 提供了一个同等的 `Body`。

例如，为了扩展先前的模型，你可能决定除了 `item` 和 `user` 之外，还想在同一请求体中具有另一个键 `importance`。

如果你就按原样声明它，因为它是一个单一值，**FastAPI** 将假定它是一个查询参数。

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


@app.get("/items/")
async def read_items(token: str = Depends(oauth2_scheme)):

AppType = TypeVar("AppType", bound="FastAPI")


class FastAPI(Starlette):
    """
    `FastAPI` app class, the main entrypoint to use FastAPI.

    Read more in the
    [FastAPI docs for First Steps](https://fastapi.tiangolo.com/tutorial/first-steps/).

    ## Example

    ```python
    from fastapi import FastAPI

    app = FastAPI()
    ```
    """

    def __init__(

from fastapi import Depends, FastAPI
from fastapi.security import HTTPBasic, HTTPBasicCredentials

app = FastAPI()

security = HTTPBasic()


@app.get("/users/me")
def read_current_user(credentials: HTTPBasicCredentials = Depends(security)):