Render fields from dataclasses in API Reference

[masenf]

Ensure that props/fields are correctly rendered in the autogenerated API reference.

[greptile-apps]

Greptile Summary

This PR extends the auto-generated API reference documentation system to properly handle dataclass fields alongside existing Pydantic model support. The changes enable comprehensive documentation generation for classes that use Python's @dataclass decorator, which is becoming increasingly common in the Reflex codebase.

The core enhancement involves modifying the Source class in source.py to detect dataclasses using dataclasses.is_dataclass() and extract their fields using dataclasses.fields(). This required handling different attribute patterns between dataclasses and Pydantic models - specifically managing type_ vs type attributes and handling dataclasses.MISSING as a default value indicator.

To support complex class hierarchies, the PR introduces an extra_fields parameter to the generate_docs() function, allowing fields from multiple related classes to be merged into a single documentation page. This is demonstrated in apiref.py where rx.Config is changed from a simple module reference to a tuple (rx.Config, rx.config.BaseConfig), enabling the system to pull fields from both the main class and its base configuration class.

The implementation maintains backward compatibility by preserving the existing logic for rx.Base subclasses while adding parallel support for dataclasses. This ensures that all field types across the Reflex framework are properly documented in the API reference, providing developers with complete information about available properties and their types.

Confidence score: 4/5

• This PR is safe to merge with minimal risk as it adds functionality without breaking existing documentation generation
• Score reflects well-structured code changes that handle edge cases appropriately, though the complexity of supporting multiple field extraction patterns introduces some risk
• Pay close attention to the field formatting logic in source.py to ensure all attribute access patterns are handled correctly

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