labels.dashboard_title_configuration=System Config
labels.dashboard_plugin=Dashboard Plugin
labels.web_config_list=Web Config List
labels.access_token_details=Access Token Details
labels.bad_word_details=Bad Word Details
labels.boost_document_rule_details=Boost Document Rule Details
labels.crawling_info_details=Crawling Info Details
labels.data_config_details=Data Config Details

    return client


def test_get(client: TestClient):
    response = client.get("/")
    assert response.json() == {"custom_field": [1.0, 2.0, 3.0]}


def test_typeadapter():
    # This test is only to confirm that Pydantic alone is working as expected
    from pydantic import (
        BaseModel,
        ConfigDict,
        PlainSerializer,
        TypeAdapter,
        WithJsonSchema,
    )

labels.dashboard_title_configuration=System Config
labels.dashboard_plugin=Dashboard Plugin
labels.web_config_list=Web Config List
labels.access_token_details=Access Token Details
labels.bad_word_details=Bad Word Details
labels.boost_document_rule_details=Boost Document Rule Details
labels.crawling_info_details=Crawling Info Details
labels.data_config_details=Data Config Details

...then the `description` field will **not be required**. Because it has a default value of `None`.

### Input Model in Docs { #input-model-in-docs }

You can confirm that in the docs, the `description` field doesn't have a **red asterisk**, it's not marked as required:

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image01.png">
</div>

```sh
docker build -t myminio:minio .
```

Use `docker image ls` to confirm the image exists in your local repository.
You can run the server using standard Docker invocation:

```sh
docker run -p 9000:9000 -p 9001:9001 myminio:minio server /tmp/minio --console-address :9001
```

## Merge Translation PRs

For Spanish, as I'm a native speaker and it's a language close to me, I will give it a final review myself and in most cases tweak the PR a bit before merging it.

For the other languages, confirm that:

* The title is correct following the instructions above.
* It has the labels `lang-all` and `lang-{lang code}`.
* The PR changes only one Markdown file adding a translation.

    public static final String LABELS_APPEND_QUERY_PARAMETER = "{labels.appendQueryParameter}";

    /** The key of the message: Config ID */
    public static final String LABELS_CONFIG_ID = "{labels.configId}";

    /** The key of the message: Config Parameter */
    public static final String LABELS_CONFIG_PARAMETER = "{labels.configParameter}";

    /** The key of the message: Content */

The most important part is that when you call `python`, that is the exact "`python`" that will be executed.

So, you can confirm if you are in the correct virtual environment.

/// tip

It's easy to activate one virtual environment, get one Python, and then **go to another project**.

Confira as dicas de anotação no código acima para ver mais detalhes específicos.

## Saiba Mais { #learn-more }

Você também pode combinar `dataclasses` com outros modelos Pydantic, herdar deles, incluí-los em seus próprios modelos, etc.

        "default configs should be preserved"
    )
    assert "presets: [" in response.text, "default configs should be preserved"
    assert "SwaggerUIBundle.presets.apis," in response.text, (
        "default configs should be preserved"
    )
    assert "SwaggerUIBundle.SwaggerUIStandalonePreset" in response.text, (
        "default configs should be preserved"
    )