Yukarıdaki kodda `CommonQueryParams`'ı iki kez yazdığımıza dikkat edin:

//// tab | Python 3.10+

```Python
commons: Annotated[CommonQueryParams, Depends(CommonQueryParams)]
```

////

//// tab | Python 3.10+ Annotated Olmadan

/// tip | İpucu

Mümkünse `Annotated` sürümünü kullanmayı tercih edin.

///

```Python
commons: CommonQueryParams = Depends(CommonQueryParams)
```

////

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

A "**callable**" in Python is anything that Python can "call" like a function.

So, if you have an object `something` (that might _not_ be a function) and you can "call" it (execute it) like:

```Python
something()
```

or

```Python
something(some_argument, some_keyword_argument="foo")
```

then it is a "callable".

O fator principal para uma dependência é que ela deve ser "chamável"

Um objeto "chamável" em Python é qualquer coisa que o Python possa "chamar" como uma função

Então se você tiver um objeto `alguma_coisa` (que pode *não* ser uma função) que você possa "chamar" (executá-lo) dessa maneira:

```Python
something()
```

ou

```Python
something(some_argument, some_keyword_argument="foo")
```

Então esse objeto é um "chamável".

但那不是宣告相依性的唯一方式（雖然那大概是最常見的）。

關鍵在於，相依性應該要是「callable」。

在 Python 中，「**callable**」指的是任何可以像函式一樣被 Python「呼叫」的東西。

因此，如果你有一個物件 `something`（它可能不是函式），而你可以像這樣「呼叫」（執行）它：

```Python
something()
```

或是

```Python
something(some_argument, some_keyword_argument="foo")
```

那它就是一個「callable」。

## 以類別作為相依性 { #classes-as-dependencies_1 }

你可能已經注意到，建立一個 Python 類別的實例時，你用的語法也是一樣的。

例如：

```Python
class Cat:

```

</div>

////

## 在 Python 中读取环境变量 { #read-env-vars-in-python }

你也可以在 Python **之外**的终端中创建环境变量（或使用任何其他方法），然后在 Python 中**读取**它们。

例如，你可以创建一个名为 `main.py` 的文件，其中包含以下内容：

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")
```

/// tip | 提示

第二个参数是 [`os.getenv()`](https://docs.python.org/3.8/library/os.html#os.getenv) 的默认返回值。

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

ve sonra şunu çağırırsak:

```Python
user_dict = user_in.model_dump()
```

artık `user_dict` değişkeninde modelin verilerini içeren bir `dict` vardır (Pydantic model nesnesi yerine bir `dict` elde etmiş oluruz).

Ve eğer şunu çağırırsak:

```Python
print(user_dict)
```

/home/user/code/awesome-project/.venv/bin/python
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

```console
$ Get-Command python

C:\Users\user\code\awesome-project\.venv\Scripts\python
```

</div>

////

Bu, kullanılacak `python` programının **virtual environment'in içindeki** Python olduğu anlamına gelir.

### Только современный Python { #just-modern-python }

Все основано на стандартных **аннотациях типов Python** (благодаря Pydantic). Не нужно изучать новый синтаксис. Только стандартный современный Python.

Если вам нужно освежить знания о типах в Python (даже если вы не используете FastAPI), выделите 2 минуты и просмотрите краткое руководство: [Типы Python](python-types.md).

Вы пишете стандартный Python с типами:

```

</div>

////

## Read env vars in Python { #read-env-vars-in-python }

You could also create environment variables **outside** of Python, in the terminal (or with any other method), and then **read them in Python**.

For example you could have a file `main.py` with:

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")
```

/// tip

Hello Wade Wilson
```

</div>

////

## Lire des variables d'environnement en Python { #read-env-vars-in-python }

Vous pouvez également créer des variables d'environnement **en dehors** de Python, dans le terminal (ou par tout autre moyen), puis les **lire en Python**.

Par exemple, vous pouvez avoir un fichier `main.py` contenant :

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")