<font color="#3465A4">INFO    </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files
<font color="#3465A4">INFO    </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>

 ╭─ <font color="#8AE234"><b>Python module file</b></font> ─╮
 │                      │
 │  🐍 main.py          │
 │                      │

* **Facile**: Progettato per essere facile da usare e imparare. Si riduce il tempo da dedicare alla lettura della documentazione.

The main feature I wanted from Django REST Framework was the automatic API documentation.

Then I found that there was a standard to document APIs, using JSON (or YAML, an extension of JSON) called Swagger.

And there was a web user interface for Swagger APIs already created. So, being able to generate Swagger documentation for an API would allow using this web user interface automatically.

### Generate a TypeScript Client with the Preprocessed OpenAPI

Now as the end result is in a file `openapi.json`, you would modify the `package.json` to use that local file, for example:

```JSON  hl_lines="7"
{
  "name": "frontend-app",
  "version": "1.0.0",
  "description": "",
  "main": "index.js",
  "scripts": {

    grant_type: the OAuth2 spec says it is required and MUST be the fixed string "password".
        This dependency is strict about it. If you want to be permissive, use instead the
        OAuth2PasswordRequestForm dependency class.
    username: username string. The OAuth2 spec requires the exact field name "username".
    password: password string. The OAuth2 spec requires the exact field name "password".

The same would happen if you had something like a <abbr title='A union between multiple types means "any of these types".'>union</abbr> between different types where one or more of them are not valid Pydantic types, for example this would fail 💥:

=== "Python 3.10+"

    ```Python hl_lines="8"

### <a href="https://marshmallow.readthedocs.io/en/stable/" class="external-link" target="_blank">🍭</a>

1️⃣ 👑 ⚒ 💪 🛠️ ⚙️ 📊 "<abbr title="also called marshalling, conversion">🛠️</abbr>" ❔ ✊ 📊 ⚪️➡️ 📟 (🐍) &amp; 🏭 ⚫️ 🔘 🕳 👈 💪 📨 🔘 🕸. 🖼, 🏭 🎚 ⚗ 📊 ⚪️➡️ 💽 🔘 🎻 🎚. 🏭 `datetime` 🎚 🔘 🎻, ♒️.

    {!> ../../../docs_src/request_files/tutorial001.py!}
    ```

## Определите параметры `File`

Создайте параметры `File` так же, как вы это делаете для `Body` или `Form`:

=== "Python 3.9+"

    ```Python hl_lines="9"
    {!> ../../../docs_src/request_files/tutorial001_an_py39.py!}
    ```

=== "Python 3.6+"

    ```Python hl_lines="8"
    {!> ../../../docs_src/request_files/tutorial001_an.py!}
    ```

Imaginez que vous êtes l'ordinateur / le programme 🤖 dans cette histoire.

Pendant que vous faites la queue, vous être simplement inactif 😴, attendant votre tour, ne faisant rien de "productif". Mais la queue est rapide car le serveur 💁 prend seulement les commandes (et ne les prépare pas), donc tout va bien.

# Python Types Intro

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.