Question 1

How to validate JSON against Python type hints?

Accepted Answer

Use typical's transmute function, like typic.transmute(Tweeter, json), which parses JSON and validates it against the class's type annotations, throwing detailed errors on mismatches.

Question 2

Is typical or Pydantic better for runtime validation?

Accepted Answer

Typical offers more API flexibility and strict PEP compliance, but Pydantic is actively maintained with a larger ecosystem. For new projects, Pydantic is often preferred due to community support.

Question 3

How to add custom validation rules in typical?

Accepted Answer

Apply the @typic.constrained decorator to custom types. For example, @typic.constrained(ge=1) on an int class enforces values >=1, and errors show specific constraint failures.

Question 4

Is typical still being developed or updated?

Accepted Answer

No, typical is archived, and the author recommends migrating to its successor, python-typelib, or alternatives like mashumaro for ongoing development and features.

Question 5

How to serialize a dataclass to JSON with type checking?

Accepted Answer

Call the tojson method from the Object API (e.g., t.tojson()) or use typic.tojson(t). This ensures the output respects type annotations and custom constraints.

Question 6

Does typical support nested data structures?

Accepted Answer

Yes, it handles complex nested types through Python's typing system, such as Iterable[Tweet] in the examples, validating lists, dictionaries, and other collections recursively.

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