if label.name == "lang-all":
                is_lang = True
                break
        for review in pr.reviews.nodes:
            if review.author:
                authors[review.author.login] = review.author
                if is_lang:
                    translation_reviewers[review.author.login] += 1
        if pr.state == "MERGED" and pr.author:
            if is_lang:

    # Messages to create or check
    new_translation_message = f"Good news everyone! 😉 There's a new translation PR to be reviewed: #{pr.number} by @{pr.user.login}. 🎉 This requires 2 approvals from native speakers to be merged. 🤓"
    done_translation_message = f"~There's a new translation PR to be reviewed: #{pr.number} by @{pr.user.login}~ Good job! This is done. 🍰☕"

    # Normally only one language, but still
    for lang in langs:

* Add the specific language label.
* Add the label `awaiting-review`.

The label `awaiting-review` is special, only used for translations. A GitHub Action will detect it, then it will read the language label, and it will update the GitHub Discussions managing the translations for that language to notify people that there's a new translation to review.

        <span class="sponsor-badge">sponsor</span>
        <img class="sponsor-image" src="/img/sponsors/render-banner.svg" />
      </a>
    </div>
    <div class="item">
      <a title="Cut Code Review Time & Bugs in Half with CodeRabbit" style="display: block; position: relative;" href="https://www.coderabbit.ai/?utm_source=fastapi&utm_medium=banner&utm_campaign=fastapi" target="_blank">
        <span class="sponsor-badge">sponsor</span>

    img: https://fastapi.tiangolo.com/img/sponsors/render.svg
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issue if there is one) requesting the feature and describing specific use cases
for it.

If we decide to pursue a feature request, it will go through a thorough process
of API design and review. Any code should come after this.

[APIs]: https://en.wikipedia.org/wiki/API
[issue]: https://github.com/google/guava/issues

Pull requests
-------------

### Modelo para Datos de Response de Salida { #model-for-output-response-data }

Si interactúas con la documentación y revisas el response, aunque el código no agregó nada en uno de los campos `description`, el response JSON contiene el valor por defecto (`null`):

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image02.png">

    print("docs/en/mkdocs.yml is up to date ✅")


@app.command()
def serve() -> None:
    """
    A quick server to preview a built site with translations.

    For development, prefer the command live (or just mkdocs serve).

    This is here only to preview a site with translations already built.

    Make sure you run the build-all command first.
    """

Me encanta escuchar cómo se está utilizando **FastAPI**, qué te ha gustado, en qué proyecto/empresa lo estás usando, etc.

## Vota por FastAPI { #vote-for-fastapi }

* <a href="https://www.slant.co/options/34241/~fastapi-review" class="external-link" target="_blank">Vota por **FastAPI** en Slant</a>.
* <a href="https://alternativeto.net/software/fastapi/about/" class="external-link" target="_blank">Vota por **FastAPI** en AlternativeTo</a>.

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

Here's a small preview of how you could integrate Strawberry with FastAPI:

{* ../../docs_src/graphql_/tutorial001_py39.py hl[3,22,25] *}