🤶 Ⓜ. `pip install python-multipart`.

## 🗄 `File` & `Form`

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

## 🔬 `File` & `Form` 🔢

✍ 📁 & 📨 🔢 🎏 🌌 👆 🔜 `Body` ⚖️ `Query`:

```Python hl_lines="8"
{!../../../docs_src/request_forms_and_files/tutorial001.py!}
```

📁 & 📨 🏑 🔜 📂 📨 📊 & 👆 🔜 📨 📁 & 📨 🏑.

    例えば、`pip install python-multipart`のように。

## `File`と`Form`のインポート

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

## `File`と`Form`のパラメータの定義

ファイルやフォームのパラメータは`Body`や`Query`の場合と同じように作成します:

```Python hl_lines="8"
{!../../../docs_src/request_forms_and_files/tutorial001.py!}
```

ファイルとフォームフィールドがフォームデータとしてアップロードされ、ファイルとフォームフィールドを受け取ります。

Sebastián Ramírez <******@****.***> 1688149516 +0200

Marshmallow and Webargs provide validation, parsing and serialization as plug-ins.

But documentation is still missing. Then APISpec was created.

It is a plug-in for many frameworks (and there's a plug-in for Starlette too).

The way it works is that you write the definition of the schema using YAML format inside the docstring of each function handling a route.

And it generates OpenAPI schemas.

But when checking benchmarks and comparisons you should keep the following in mind.

## Benchmarks and speed

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

You would also have **inline errors** for everything.

And whenever you update the backend code, and **regenerate** the frontend, it would have any new *path operations* available as methods, the old ones removed, and any other change would be reflected on the generated code. 🤓

But in most of the cases where we need to do something like this, we want the model just to **filter/remove** some of the data as in this example.

And in those cases, we can use classes and inheritance to take advantage of function **type annotations** to get better support in the editor and tools, and still get the FastAPI **data filtering**.

    similar, and get the two parts `items` and `read`. Many applications do that to
    group and organize permissions, you could do it as well in your application, just
    know that that it is application specific, it's not part of the specification.


    grant_type: the OAuth2 spec says it is required and MUST be the fixed string "password".

    Remember that when you import `Query`, `Path`, and others from `fastapi`, those are actually functions that return special classes.

!!! tip
    Notice how each model's attribute with a type, default value and `Field` has the same structure as a *path operation function's* parameter, with `Field` instead of `Path`, `Query` and `Body`.

If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

That way, you don't have to "install" your local version to be able to test every change.

!!! note "Technical Details"