def parse_data_to_items(
self,
data=None,
**kwargs,
) -> Iterator[dict]:
if not isinstance(data, DataBag):
if data:
kwargs["main"] = data
data = DataBag(**kwargs)
if not data.has_model_manger_instance():
data.init_model_manager(self)
drop_item_exceptions = []
for iter_data in self._apply_data_processors(data):
try:
yield self._data_to_item(iter_data)
except self._drop_item_exception as drop_item_exception:
# we store drop item exceptions so that other variations could
# get processed and we throw stored exceptions after iteration
# has ended
drop_item_exceptions.append(drop_item_exception)
if drop_item_exceptions:
if len(drop_item_exceptions) > 1:
raise self._drop_item_exception(drop_item_exceptions)
raise drop_item_exceptions[0]
def load_data_bag_with_model():
model_manager = ModelManager(ProductJsonModel())
data_bag = DataBag(main=json.dumps(data_dict.item_with_options))
data_bag.init_model_manager(model_manager)
return data_bag