When there is an operation that will require waiting before giving the results and has support for these new Python features, you can code it like:

```Python
burgers = await get_burgers(2)
```

    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

!!! info
    `**second_user_data` یعنی:

    کلید ها و مقادیر دیکشنری `second_user_data` را مستقیما به عنوان ارگومان های key-value بفرست، که معادل است با : `User(id=4, name="Mary", joined="2018-11-30")`

### پشتیبانی ویرایشگر

---

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).

<div class="termy">

```console
$ openssl rand -hex 32

09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7
```

</div>

Und kopieren Sie die Ausgabe in die Variable `SECRET_KEY` (verwenden Sie nicht die im Beispiel).

Erstellen Sie eine Variable `ALGORITHM` für den Algorithmus, der zum Signieren des JWT-Tokens verwendet wird, und setzen Sie sie auf `"HS256"`.

🏗 🔐 🎲 ㊙ 🔑 ⚙️ 📋:

<div class="termy">

```console
$ openssl rand -hex 32

09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7
```

</div>

&amp; 📁 🔢 🔢 `SECRET_KEY` (🚫 ⚙️ 1️⃣ 🖼).

✍ 🔢 `ALGORITHM` ⏮️ 📊 ⚙️ 🛑 🥙 🤝 &amp; ⚒ ⚫️ `"HS256"`.

✍ 🔢 👔 🤝.

🔬 Pydantic 🏷 👈 🔜 ⚙️ 🤝 🔗 📨.

✍ 🚙 🔢 🏗 🆕 🔐 🤝.

=== "🐍 3️⃣.6️⃣ &amp; 🔛"

## OAuth2 Security scheme

The first change is that now we are declaring the OAuth2 security scheme with two available scopes, `me` and `items`.

The `scopes` parameter receives a `dict` with each scope as a key and the description as the value:

=== "Python 3.10+"

    ```Python hl_lines="62-65"
    {!> ../../../docs_src/security/tutorial005_an_py310.py!}
    ```

=== "Python 3.9+"

{!../../../docs_src/sql_databases_peewee/sql_app/models.py!}
```

!!! tip
    Peewee creates several magic attributes.

    It will automatically add an `id` attribute as an integer to be the primary key.

    It will chose the name of the tables based on the class names.

    For the `Item`, it will create an attribute `owner_id` with the integer ID of the `User`. But we don't declare it anywhere.

            Dict[Callable[..., Any], Callable[..., Any]],
            Doc(
                """
                A dictionary with overrides for the dependencies.

                Each key is the original dependency callable, and the value is the
                actual dependency that should be called.

                This is for testing, to replace expensive dependencies with testing
                versions.

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

Here, `new_dict` will contain all the key-value pairs from `old_dict` plus the new key-value pair:

```Python
{
    "old key": "old value",
    "second old key": "second old value",
    "new key": "new value",
}
```

We can do better...

## What makes a dependency

Up to now you have seen dependencies declared as functions.

But that's not the only way to declare dependencies (although it would probably be the more common).

The key factor is that a dependency should be a "callable".