### Ask to close

If they reply, there's a high chance you would have solved their problem, congrats, **you're a hero**! 🦸

* Now, if that solved their problem, you can ask them to:

    * In GitHub Discussions: mark the comment as the **answer**.
    * In GitHub Issues: **close** the issue.

## Watch the GitHub repository

    **FastAPI** provee `starlette.responses` como `fastapi.responses`, simplemente como una conveniencia para ti, el desarrollador. Pero la mayoría de las respuestas disponibles vienen directamente de Starlette.

## Devolviendo una `Response` personalizada

```JSON hl_lines="4-8"
{
    "openapi": "3.1.0",
    // More stuff here
    "servers": [
        {
            "url": "/api/v1"
        }
    ],
    "paths": {
            // More stuff here
    }
}
```

**FastAPI** has a great community constantly growing.

There are many posts, articles, tools, and projects, related to **FastAPI**.

Here's an incomplete list of some of them.

!!! tip
    If you have an article, project, tool, or anything related to **FastAPI** that is not yet listed here, create a <a href="https://github.com/tiangolo/fastapi/edit/master/docs/en/data/external_links.yml" class="external-link" target="_blank">Pull Request adding it</a>.

Pero al comprobar benchmarks y comparaciones debes tener en cuenta lo siguiente.

## Benchmarks y velocidad

Cuando revisas los benchmarks, es común ver varias herramientas de diferentes tipos comparadas como equivalentes.

    In this case, it's a list of `Item` dataclasses.

6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.

    FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON.

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

All the app code is the same, you can go back to that chapter check how it was.

The only changes here are in the new testing file.

Your normal dependency `get_db()` would return a database session.

    It has **advantages** and **disadvantages** when compared to common **web APIs**.

    Make sure you evaluate if the **benefits** for your use case compensate the **drawbacks**. 🤓

## GraphQL Libraries

Here are some of the **GraphQL** libraries that have **ASGI** support. You could use them with **FastAPI**:

* <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a> 🍓

# How To - Recipes

Here you will see different recipes or "how to" guides for **several topics**.

Most of these ideas would be more or less **independent**, and in most cases you should only need to study them if they apply directly to **your project**.

If something seems interesting and useful to your project, go ahead and check it, but otherwise, you might probably just skip them.

!!! tip

* Testes _backend_ _REST_ baseados no **Pytest**, integrados com Docker, então você pode testar a interação completa da API, independente do banco de dados. Como roda no Docker, ele pode construir um novo repositório de dados do zero toda vez (assim você pode usar ElasticSearch, MongoDB, CouchDB, ou o que quiser, e apenas testar que a API esteja funcionando).