[JAC-CLOUD]: Improved Deserialization

jac-cloud/jac_cloud/core/architype.py

@@ -1,6 +1,13 @@
 """Core constructs for Jac Language."""
 
-from dataclasses import asdict as _asdict, dataclass, field, fields, is_dataclass
+from dataclasses import (
+ MISSING,
+ asdict as _asdict,
+ dataclass,
+ field,
+ fields,
+ is_dataclass,
+)
 from enum import Enum
 from os import getenv
 from pickle import dumps as pdumps
@@ -76,7 +83,31 @@ def architype_to_dataclass(cls: type[T], data: dict[str, Any], **kwargs: object)
  """Parse dict to architype."""
  _to_dataclass(cls, data)
  architype = object.__new__(cls)
- architype.__init__(**data, **kwargs) # type: ignore[misc]
+ hintings = get_type_hints(cls)
+ if is_dataclass(cls):
+ for attr in fields(cls):
+ if (val := data.pop(attr.name, MISSING)) is MISSING:
+ if attr.default is not MISSING:
+ setattr(architype, attr.name, attr.default)
+ elif attr.default_factory is not MISSING and callable(
+ attr.default_factory
+ ):
+ setattr(architype, attr.name, attr.default_factory())
+ else:
+ raise ValueError(
+ f"{cls.__name__} requires {attr.name} field with type {hintings[attr.name]}"
+ )
+ else:
+ hinter = hintings[attr.name]
+ if isinstance(val, hinter):
+ setattr(architype, attr.name, val)
+ else:
+ raise ValueError(
+ f"Data from datasource has type {val.__class__.__name__}"
+ f" but {cls.__name__}.{attr.name} requires {hinter}."
+ )
+ architype.__dict__.update(data)
+ architype.__dict__.update(kwargs)
  return architype