<label>Token: <input type="text" id="token" autocomplete="off" value="some-key-token"/></label>
            <button onclick="connect(event)">Connect</button>
            <hr>
            <label>Message: <input type="text" id="messageText" autocomplete="off"/></label>
            <button>Send</button>
        </form>
        <ul id='messages'>
        </ul>
        <script>
        var ws = null;

...although in this example we are only creating and reading.

### Read data

Import `Session` from `sqlalchemy.orm`, this will allow you to declare the type of the `db` parameters and have better type checks and completion in your functions.

Import `models` (the SQLAlchemy models) and `schemas` (the Pydantic *models* / schemas).

Create utility functions to:

* Read a single user by ID and by email.

</div>

## Überprüfen

Gehen Sie zu der interaktiven Dokumentation unter: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

Sie werden etwa Folgendes sehen:

<img src="/img/tutorial/security/image01.png">

!!! check "Authorize-Button!"
    Sie haben bereits einen glänzenden, neuen „Authorize“-Button.

                * **FastAPI** adds a reference here to the global JSON Schemas in another place in your OpenAPI instead of including it directly. This way, other applications and clients can use those JSON Schemas directly, provide better code generation tools, etc.

The generated responses in the OpenAPI for this *path operation* will be:

```JSON hl_lines="3-12"
{
    "responses": {
        "404": {

</div>

With this feature from **Pydantic v2**, your API documentation is more **precise**, and if you have autogenerated clients and SDKs, they will be more precise too, with a better **developer experience** and consistency. 🎉

## Do not Separate Schemas

Now, there are some cases where you might want to have the **same schema for input and output**.

### Test edildi

* 100% <abbr title="Kodun ne kadarının test edildiği">test coverage</abbr>.
* 100% <abbr title="Python type annotations, with this your editor and external tools can give you better support">typeları belirtilmiş</abbr> codebase.
* FastAPI ile yapılan bir çok proje insanlar tarafından kullanılıyor.

## Starlette özellikleri

    ```Python hl_lines="2  6  10"
    {!> ../../../docs_src/security/tutorial006.py!}
    ```

Wenn Sie versuchen, die URL zum ersten Mal zu öffnen (oder in der Dokumentation auf den Button „Execute“ zu klicken), wird der Browser Sie nach Ihrem Benutzernamen und Passwort fragen:

<img src="/img/tutorial/security/image12.png">

## Den Benutzernamen überprüfen

Hier ist ein vollständigeres Beispiel.

```Python hl_lines="7"
{!../../../docs_src/path_params_numeric_validations/tutorial003.py!}
```

### Better with `Annotated`

Keep in mind that if you use `Annotated`, as you are not using function parameter default values, you won't have this problem, and you probably won't need to use `*`.

=== "Python 3.9+"

And we know that editors can't provide a lot of support (like completion) for `dict`s, because they can't know their keys and value types.

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).

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)

* Click on the button "Try it out", it allows you to fill the parameters and directly interact with the API:

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

* Then click on the "Execute" button, the user interface will communicate with your API, send the parameters, get the results and show them on the screen: