If you want to play with JWT tokens and see how they work, check <a href="https://jwt.io/" class="external-link" target="_blank">https://jwt.io</a>.

## Install `python-jose`

We need to install `python-jose` to generate and verify the JWT tokens in Python:

<div class="termy">

    response = client.get("/users/1")
    assert response.status_code == 200, response.text
    user_data = response.json()
    item_to_check = [it for it in user_data["items"] if it["id"] == item_data["id"]][0]
    assert item_to_check["title"] == item["title"]
    assert item_to_check["description"] == item["description"]


# TODO: pv2 add Pydantic v2 version
@needs_pydanticv1
def test_read_items(client):

!!! tip
    If you are in a hurry or don't care, continue with the next sections for step by step instructions to set everything up with different techniques.

To **learn the basics of HTTPS**, from a consumer perspective, check <a href="https://howhttps.works/" class="external-link" target="_blank">https://howhttps.works/</a>.

Now, from a **developer's perspective**, here are several things to keep in mind while thinking about HTTPS:

{!../../../docs_src/metadata/tutorial004.py!}
```

!!! info
    Read more about tags in [Path Operation Configuration](path-operation-configuration.md#tags){.internal-link target=_blank}.

### Check the docs

Now, if you check the docs, they will show all the additional metadata:

<img src="/img/tutorial/metadata/image02.png">

### Order of tags

!!! tip
    In this example, the variable is called `router`, but you can name it however you want.

We are going to include this `APIRouter` in the main `FastAPI` app, but first, let's check the dependencies and another `APIRouter`.

## Dependencies

We see that we are going to need some dependencies used in several places of the application.

In this case, it will be mounted at the path `/subapi`:

```Python hl_lines="11  19"
{!../../../docs_src/sub_applications/tutorial001.py!}
```

### Check the automatic API docs

Now, run `uvicorn` with the main app, if your file is `main.py`, it would be:

<div class="termy">

```console
$ uvicorn main:app --reload

    The `scope` `dict` and `receive` function are both part of the ASGI specification.

    And those two things, `scope` and `receive`, are what is needed to create a new `Request` instance.

    To learn more about the `Request` check <a href="https://www.starlette.io/requests/" class="external-link" target="_blank">Starlette's docs about Requests</a>.

    ```

!!! info
    beachten Sie, dass sich `response_description` speziell auf die Response bezieht, während `description` sich generell auf die *Pfadoperation* bezieht.

!!! check
    OpenAPI verlangt, dass jede *Pfadoperation* über eine Beschreibung der Response verfügt.

    Daher, wenn Sie keine vergeben, wird **FastAPI** automatisch eine für „Erfolgreiche Response“ erstellen.

{**note.dict(), "id": last_record_id}
```

So, the final result returned would be something like:

```Python
{
    "id": 1,
    "text": "Some note",
    "completed": False,
}
```

## Check it

You can copy this code as is, and see the docs at <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

There you can see all your API documented and interact with it:

Pydantic 모델인 `User`로 `current_user`의 타입을 선언하는 것을 알아야 합니다.

이것은 모든 완료 및 타입 검사를 통해 함수 내부에서 우리를 도울 것입니다.

!!! tip "팁"
    요청 본문도 Pydantic 모델로 선언된다는 것을 기억할 것입니다.

    여기서 **FastAPI**는 `Depends`를 사용하고 있기 때문에 혼동되지 않습니다.

!!! check "확인"
    이 의존성 시스템이 설계된 방식은 모두 `User` 모델을 반환하는 다양한 의존성(다른 "의존적인")을 가질 수 있도록 합니다.

    해당 타입의 데이터를 반환할 수 있는 의존성이 하나만 있는 것으로 제한되지 않습니다.

## 다른 모델