JSON เป็น Python Dataclass

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Quick answers.

›How are nested objects handled?

The generator recursively parses nested JSON objects to create individual classes, linking them through type hints to maintain the original data structure.

›Can I use Pydantic instead of standard dataclasses?

Yes. You can toggle between standard Python `dataclasses` and Pydantic `BaseModel` output depending on whether you need runtime validation or standard library compatibility.

›Does the tool support optional fields?

If the input JSON contains null values or inconsistent fields across list items, the tool adds `Optional` type hints or default values to the generated code.

›Is the generated code compatible with my Python version?

The output targets Python 3.7+ for dataclasses and Python 3.9+ for modern type hinting syntax like `list[str]` instead of `List[str]`.