def inner(type_, options): while True: if not _is_new_type(type_): break type_ = type_.__supertype__ if is_dataclass(type_): if _issubclass_safe(type_, mixin): options['field_many'] = bool( _is_supported_generic(field.type) and _is_collection(field.type)) return fields.Nested(type_.schema(), **options) else: warnings.warn(f"Nested dataclass field {field.name} of type " f"{field.type} detected in " f"{cls.__name__} that is not an instance of " f"dataclass_json. Did you mean to recursively " f"serialize this field? If so, make sure to " f"augment {type_} with either the " f"`dataclass_json` decorator or mixin.") return fields.Field(**options) origin = getattr(type_, '__origin__', type_) args = [ inner(a, {}) for a in getattr(type_, '__args__', []) if a is not type(None) ] if _is_optional(type_): options["allow_none"] = True if origin in TYPES: return TYPES[origin](*args, **options) if _issubclass_safe(origin, Enum): return EnumField(enum=origin, by_value=True, *args, **options) if is_union_type(type_): union_types = [ a for a in getattr(type_, '__args__', []) if a is not type(None) ] union_desc = dict(zip(union_types, args)) return _UnionField(union_desc, cls, field, **options) warnings.warn( f"Unknown type {type_} at {cls.__name__}.{field.name}: {field.type} " f"It's advised to pass the correct marshmallow type to `mm_field`." ) return fields.Field(**options)
def _decode_dataclass(cls, kvs, infer_missing): if isinstance(kvs, cls): return kvs overrides = _user_overrides_or_exts(cls) kvs = {} if kvs is None and infer_missing else kvs field_names = [field.name for field in fields(cls)] decode_names = _decode_letter_case_overrides(field_names, overrides) kvs = {decode_names.get(k, k): v for k, v in kvs.items()} missing_fields = {field for field in fields(cls) if field.name not in kvs} for field in missing_fields: if field.default is not MISSING: kvs[field.name] = field.default elif field.default_factory is not MISSING: kvs[field.name] = field.default_factory() elif infer_missing: kvs[field.name] = None # Perform undefined parameter action kvs = _handle_undefined_parameters_safe(cls, kvs, usage="from") init_kwargs = {} types = get_type_hints(cls) for field in fields(cls): # The field should be skipped from being added # to init_kwargs as it's not intended as a constructor argument. if not field.init: continue field_value = kvs[field.name] field_type = types[field.name] if field_value is None and not _is_optional(field_type): warning = (f"value of non-optional type {field.name} detected " f"when decoding {cls.__name__}") if infer_missing: warnings.warn( f"Missing {warning} and was defaulted to None by " f"infer_missing=True. " f"Set infer_missing=False (the default) to prevent this " f"behavior.", RuntimeWarning) else: warnings.warn(f"`NoneType` object {warning}.", RuntimeWarning) init_kwargs[field.name] = field_value continue while True: if not _is_new_type(field_type): break field_type = field_type.__supertype__ if (field.name in overrides and overrides[field.name].decoder is not None): # FIXME hack if field_type is type(field_value): init_kwargs[field.name] = field_value else: init_kwargs[field.name] = overrides[field.name].decoder( field_value) elif is_dataclass(field_type): # FIXME this is a band-aid to deal with the value already being # serialized when handling nested marshmallow schema # proper fix is to investigate the marshmallow schema generation # code if is_dataclass(field_value): value = field_value else: value = _decode_dataclass(field_type, field_value, infer_missing) init_kwargs[field.name] = value elif _is_supported_generic(field_type) and field_type != str: init_kwargs[field.name] = _decode_generic(field_type, field_value, infer_missing) else: init_kwargs[field.name] = _support_extended_types(field_type, field_value) return cls(**init_kwargs)
def _decode_dataclass(cls, kvs, infer_missing): if isinstance(kvs, cls): return kvs overrides = _user_overrides(cls) kvs = {} if kvs is None and infer_missing else kvs field_names = [field.name for field in fields(cls)] decode_names = _decode_letter_case_overrides(field_names, overrides) kvs = {decode_names.get(k, k): v for k, v in kvs.items()} missing_fields = {field for field in fields(cls) if field.name not in kvs} for field in missing_fields: if field.default is not MISSING: kvs[field.name] = field.default elif field.default_factory is not MISSING: kvs[field.name] = field.default_factory() elif infer_missing: kvs[field.name] = None init_kwargs = {} types = get_type_hints(cls) for field in fields(cls): # The field should be skipped from being added # to init_kwargs as it's not intended as a constructor argument. if not field.init: continue field_value = kvs[field.name] field_type = types[field.name] if field_value is None and not _is_optional(field_type): warning = (f"value of non-optional type {field.name} detected " f"when decoding {cls.__name__}") if infer_missing: warnings.warn( f"Missing {warning} and was defaulted to None by " f"infer_missing=True. " f"Set infer_missing=False (the default) to prevent this " f"behavior.", RuntimeWarning) else: warnings.warn(f"`NoneType` object {warning}.", RuntimeWarning) init_kwargs[field.name] = field_value continue while True: if not _is_new_type(field_type): break field_type = field_type.__supertype__ if (field.name in overrides and overrides[field.name].decoder is not None): # FIXME hack if field_type is type(field_value): init_kwargs[field.name] = field_value else: init_kwargs[field.name] = overrides[field.name].decoder( field_value) elif is_dataclass(field_type): # FIXME this is a band-aid to deal with the value already being # serialized when handling nested marshmallow schema # proper fix is to investigate the marshmallow schema generation # code if is_dataclass(field_value): value = field_value else: value = _decode_dataclass(field_type, field_value, infer_missing) init_kwargs[field.name] = value elif _is_supported_generic(field_type) and field_type != str: init_kwargs[field.name] = _decode_generic(field_type, field_value, infer_missing) elif _issubclass_safe(field_type, datetime): # FIXME this is a hack to deal with mm already decoding # the issue is we want to leverage mm fields' missing argument # but need this for the object creation hook if isinstance(field_value, datetime): dt = field_value else: tz = datetime.now(timezone.utc).astimezone().tzinfo dt = datetime.fromtimestamp(field_value, tz=tz) init_kwargs[field.name] = dt elif _issubclass_safe(field_type, Decimal): init_kwargs[field.name] = (field_value if isinstance( field_value, Decimal) else Decimal(field_value)) elif _issubclass_safe(field_type, UUID): init_kwargs[field.name] = (field_value if isinstance( field_value, UUID) else UUID(field_value)) else: init_kwargs[field.name] = field_value return cls(**init_kwargs)