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momoa.engines.pydantic

source module momoa.engines.pydantic

Pydantic v2 engine: compiles JSON Schema into pydantic.BaseModel subclasses.

Uses datamodel-code-generator to handle the full JSON Schema → Pydantic mapping, including $ref, $defs, nested objects, arrays, enums, and composition keywords.

Known limitation: dynamically generated models are not pickle-able. Use model_dump() / model_validate() for cross-process serialisation instead of pickle.

Classes

  • PydanticEngine — Compiles JSON Schema into pydantic.BaseModel subclasses.

source class PydanticEngine()

Compiles JSON Schema into pydantic.BaseModel subclasses.

Attributes

  • output_format : str — Engine identifier.

Methods

  • context_labeller — No URI labelling needed; datamodel-code-generator handles naming itself.

  • compile — Compile a JSON Schema spec into BaseModel subclasses with .serialize().

source property PydanticEngine.output_format: str

Engine identifier.

source method PydanticEngine.context_labeller() → None

No URI labelling needed; datamodel-code-generator handles naming itself.

source method PydanticEngine.compile(spec: dict[str, Any], *, root_name: str | None = None) → EngineResult

Compile a JSON Schema spec into BaseModel subclasses with .serialize().

Raises