## First Steps

Let's see a very simple example. It will be so simple that it is not very useful, for now.

But this way we can focus on how the **Dependency Injection** system works.

### Create a dependency, or "dependable"

Let's first focus on the dependency.

It is just a function that can take all the same parameters that a *path operation function* can take:

=== "Python 3.10+"

    ```Python hl_lines="8-9"

Bevor wir tiefer in das **Dependency Injection** System eintauchen, lassen Sie uns das vorherige Beispiel verbessern.

## Ein `dict` aus dem vorherigen Beispiel

Im vorherigen Beispiel haben wir ein `dict` von unserer Abhängigkeit („Dependable“) zurückgegeben:

=== "Python 3.10+"

    ```Python hl_lines="9"
    {!> ../../../docs_src/dependencies/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="11"

# 依存関係としてのクラス

**依存性注入** システムを深く掘り下げる前に、先ほどの例をアップグレードしてみましょう。

## 前の例の`dict`

前の例では、依存関係（"dependable"）から`dict`を返していました:

```Python hl_lines="9"
{!../../../docs_src/dependencies/tutorial001.py!}
```

しかし、*path operation関数*のパラメータ`commons`に`dict`が含まれています。

また、エディタは`dict`のキーと値の型を知ることができないため、多くのサポート（補完のような）を提供することができません。

もっとうまくやれるはずです...。

## 依存関係を作るもの

これまでは、依存関係が関数として宣言されているのを見てきました。

    dependency_cache = dependency_cache or {}
    sub_dependant: Dependant
    for sub_dependant in dependant.dependencies:
        sub_dependant.call = cast(Callable[..., Any], sub_dependant.call)
        sub_dependant.cache_key = cast(
            Tuple[Callable[..., Any], Tuple[str]], sub_dependant.cache_key
        )
        call = sub_dependant.call
        use_sub_dependant = sub_dependant
        if (

            )
            parameters: List[Dict[str, Any]] = []
            flat_dependant = get_flat_dependant(route.dependant, skip_repeats=True)
            security_definitions, operation_security = get_openapi_security_definitions(
                flat_dependant=flat_dependant
            )
            if operation_security:
                operation.setdefault("security", []).extend(operation_security)

# Sicherheitstools

Wenn Sie Abhängigkeiten mit OAuth2-Scopes deklarieren müssen, verwenden Sie `Security()`.

Aber Sie müssen immer noch definieren, was das <abbr title="Das von dem abhängt, die zu verwendende Abhängigkeit">Dependable</abbr>, das Callable ist, welches Sie als Parameter an `Depends()` oder `Security()` übergeben.

        self.dependant = get_dependant(path=self.path_format, call=self.endpoint)
        for depends in self.dependencies[::-1]:
            self.dependant.dependencies.insert(
                0,
                get_parameterless_sub_dependant(depends=depends, path=self.path_format),
            )
        self.body_field = get_body_field(dependant=self.dependant, name=self.unique_id)

# Security Tools

When you need to declare dependencies with OAuth2 scopes you use `Security()`.

But you still need to define what is the dependable, the callable that you pass as a parameter to `Depends()` or `Security()`.

There are multiple tools that you can use to create those dependables, and they get integrated into OpenAPI so they are shown in the automatic docs UI, they can be used by automatically generated clients and SDKs, etc.

Before diving deeper into the **Dependency Injection** system, let's upgrade the previous example.

## A `dict` from the previous example

In the previous example, we were returning a `dict` from our dependency ("dependable"):

=== "Python 3.10+"

    ```Python hl_lines="9"
    {!> ../../../docs_src/dependencies/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="11"

## Dependency Injection

Using `BackgroundTasks` also works with the dependency injection system, you can declare a parameter of type `BackgroundTasks` at multiple levels: in a *path operation function*, in a dependency (dependable), in a sub-dependency, etc.

**FastAPI** knows what to do in each case and how to re-use the same object, so that all the background tasks are merged together and are run in the background afterwards:

=== "Python 3.10+"