[BUG] [Python] Generator does not correctly generate examples

Bug Report Checklist

• Have you provided a full/minimal spec to reproduce the issue?
• Have you validated the input using an OpenAPI validator (example)?
• Have you tested with the latest master to confirm the issue still exists?
• Have you searched for related issues/PRs?
• What's the actual output vs expected output?
• [Optional] Sponsorship to speed up the bug fix or feature request (example)

Description

I want to improve the examples in the documentation of the generated Python client. When I include the example within the schema or not at all, following is generated:

data_experiment = eliona.api_client2.DataExperiment() # DataExperiment

While that's alright, I would like to have the instance initialized with example data as well (in reality that class has a lot of properties).

So I moved the example out of the schema a level up (see the openapi.yaml excerpt below), and following was generated:

data_experiment = {"assetId":4711} # DataExperiment

With that, I gained example data, but it is no longer a DataExperiment class.

Am I missing something, or is there something wrong with the generator?

openapi-generator version

7.3.0, 7.5.0, 7.6.0

OpenAPI declaration file content or url

requestBody:
    required: true
    content:
      application/json:
        schema:
          title: DataExperiment
          type: object
          description: Data for assets
          required:
            - assetId
          properties:
            assetId:
              type: integer
              description: ID of the corresponding asset
              example: 4711
        example:
          assetId: 4711

Generation Details

docker run --rm \
     -v "${PWD}:/local" \
    openapitools/openapi-generator-cli:v7.6.0 \
    generate \
    -g python \
    -o /local \
    ...

Steps to reproduce

Generate the client, see the docs.

Related issues/PRs

None found

Suggest a fix

Don't know.

Run the provided Docker generation command with the OpenAPI YAML and compare the generated Python documentation for the schema-level and request-body examples. Trace the Python generator's example handling from the generate entry point; done means the generated example includes the sample data while remaining a DataExperiment instance.