* ⬆ Bump dawidd6/action-download-artifact from 2.9.0 to 2.21.1. PR [#5130](https://github.com/tiangolo/fastapi/pull/5130) by [@dependabot[bot]](https://github.com/apps/dependabot).
* ⬆ Bump actions/setup-python from 2 to 4. PR [#5129](https://github.com/tiangolo/fastapi/pull/5129) by [@dependabot[bot]](https://github.com/apps/dependabot).

## Zweite Abhängigkeit, „Dependable“ und „Dependant“

Dann können Sie eine weitere Abhängigkeitsfunktion (ein „Dependable“) erstellen, die gleichzeitig eine eigene Abhängigkeit deklariert (also auch ein „Dependant“ ist):

//// tab | Python 3.10+

```Python hl_lines="13"
{!> ../../docs_src/dependencies/tutorial005_an_py310.py!}
```

This is quite simple (not very useful), but will help us focus on how the sub-dependencies work.

## Second dependency, "dependable" and "dependant"

Then you can create another dependency function (a "dependable") that at the same time declares a dependency of its own (so it is a "dependant" too):

//// tab | Python 3.10+

```Python hl_lines="13"
{!> ../../docs_src/dependencies/tutorial005_an_py310.py!}
```

////

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## 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:

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[8:9] *}

Aber so können wir uns besser auf die Funktionsweise des **Dependency Injection** Systems konzentrieren.

### Erstellen Sie eine Abhängigkeit (<abbr title="Das von dem abhängt, die zu verwendende Abhängigkeit">„Dependable“</abbr>)

Konzentrieren wir uns zunächst auf die Abhängigkeit - die Dependency.

Es handelt sich einfach um eine Funktion, die die gleichen Parameter entgegennimmt wie eine *Pfadoperation-Funktion*:
//// tab | Python 3.10+

def get_flat_dependant(
    dependant: Dependant,
    *,
    skip_repeats: bool = False,
    visited: Optional[List[CacheKey]] = None,
) -> Dependant:
    if visited is None:
        visited = []
    visited.append(dependant.cache_key)

    flat_dependant = Dependant(
        path_params=dependant.path_params.copy(),
        query_params=dependant.query_params.copy(),

    *,
    dependant: Dependant,
    schema_generator: GenerateJsonSchema,
    model_name_map: ModelNameMap,
    field_mapping: Dict[
        Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
    ],
    separate_input_output_schemas: bool = True,
) -> List[Dict[str, Any]]:
    parameters = []
    flat_dependant = get_flat_dependant(dependant, skip_repeats=True)

@dataclass
class Dependant:
    path_params: List[ModelField] = field(default_factory=list)
    query_params: List[ModelField] = field(default_factory=list)
    header_params: List[ModelField] = field(default_factory=list)
    cookie_params: List[ModelField] = field(default_factory=list)
    body_params: List[ModelField] = field(default_factory=list)
    dependencies: List["Dependant"] = field(default_factory=list)

このパラメータは関数のようなものである必要があります。

そして、その関数は、*path operation関数*が行うのと同じ方法でパラメータを取ります。

/// tip | "豆知識"

次の章では、関数以外の「もの」が依存関係として使用できるものを見ていきます。

///

新しいリクエストが到着するたびに、**FastAPI** が以下のような処理を行います:

* 依存関係（"dependable"）関数を正しいパラメータで呼び出します。
* 関数の結果を取得します。
* *path operation関数*のパラメータにその結果を代入してください。

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]