You can create your own custom response class, inheriting from `Response` and using it.

For example, let's say that you want to use <a href="https://github.com/ijl/orjson" class="external-link" target="_blank">`orjson`</a>, but with some custom settings not used in the included `ORJSONResponse` class.

Let's say you want it to return indented and formatted JSON, so you want to use the orjson option `orjson.OPT_INDENT_2`.

* **Flower** ile Celery job'larını monitörleme.
* **Traefik** ile backend ve frontend arasında yük dengeleme, böylece her ikisini de aynı domain altında, path ile ayrılmış, ancak farklı kapsayıcılar tarafından sunulabilirsiniz.
* Let's Encrypt **HTTPS** sertifikalarının otomatik oluşturulması dahil olmak üzere Traefik entegrasyonu.
* GitLab **CI** (sürekli entegrasyon), backend ve frontend testi dahil.

## Full Stack FastAPI Couchbase

    It doesn't matter if it has other characters like `:` or if it is a URL.

    Those details are implementation specific.

    For OAuth2 they are just strings.

## Global view

* Интеграция с Traefik включает автоматическую генерацию сертификатов Let's Encrypt для поддержки протокола **HTTPS**.
* GitLab **CI** (непрерывная интеграция), которая включает тестирование фронтенда и бэкенда.

## Full Stack FastAPI Couchbase

    # Return some error
    ...
```

But by using the `secrets.compare_digest()` it will be secure against a type of attacks called "timing attacks".

### Timing Attacks

But what's a "timing attack"?

Let's imagine some attackers are trying to guess the username and password.

And they send a request with a username `johndoe` and a password `love123`.

Then the Python code in your application would be equivalent to something like:

                    delete oauth2.state;
                    oauth2.auth.code = qp.code;
                    oauth2.callback({auth: oauth2.auth, redirectUrl: redirectUrl});
                } else {
                    let oauthErrorMsg;
                    if (qp.error) {
                        oauthErrorMsg = "["+qp.error+"]: " +

* PostgreSQLデータベースのための**PGAdmin**。(PHPMyAdminとMySQLを使用できるように簡単に変更可能)
* Celeryジョブ監視のための**Flower**。
* **Traefik**を使用してフロントエンドとバックエンド間をロードバランシング。同一ドメインに配置しパスで区切る、ただし、異なるコンテナで処理。
* Traefik統合。Let's Encrypt **HTTPS**証明書の自動生成を含む。
* GitLab **CI** (継続的インテグレーション)。フロントエンドおよびバックエンドテストを含む。

## フルスタック FastAPI Couchbase

## Use Case

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Now let's see what each file/module does.

## Install `SQLAlchemy`

First you need to install `SQLAlchemy`:

<div class="termy">

```console
$ pip install sqlalchemy

---> 100%
```

</div>

## Create the SQLAlchemy parts

Let's refer to the file `sql_app/database.py`.

### Import the SQLAlchemy parts

In fact, in some cases, it will even have **two JSON Schemas** in OpenAPI for the same Pydantic model, for input and output, depending on if they have **default values**.

Let's see how that works and how to change it if you need to do that.

## Pydantic Models for Input and Output

Let's say you have a Pydantic model with default values, like this one:

=== "Python 3.10+"

    ```Python hl_lines="7"