def class_properties(object, attributes_to_delete=None):
"""
Return a string with actual object features without not necessaries
:param attributes_to_delete: represent witch attributes set must be deleted.
:return: A copy of class.__dic__ without deleted attributes
"""
pt("object", object)
dict_copy = object.__dict__.copy(
) # Need to be a copy to not get original class' attributes.
return dict_copy
def object_to_json(object, attributes_to_delete=None):
"""
Convert class to json with properties method.
:param attributes_to_delete: String set with all attributes' names to delete from properties method
:return: sort json from class properties.
"""
try:
object_dictionary = class_properties(
object=object, attributes_to_delete=attributes_to_delete)
json_string = json.dumps(object,
default=lambda m: object_dictionary,
sort_keys=True,
indent=4)
except Exception as e:
pt(e)
pt(traceback.print_exc())
raise ValueError("PARAR")
return json_string
name = function_def
else:
name = function_def.__name__
process = multiprocessing.Process(name=name,
target=function_def,
args=arguments)
process.start()
process.join()
def class_properties(object, attributes_to_delete=None):
"""
Return a string with actual object features without not necessaries
:param attributes_to_delete: represent witch attributes set must be deleted.
:return: A copy of class.__dic__ without deleted attributes
"""
pt("object", object)
dict_copy = object.__dict__.copy(
) # Need to be a copy to not get original class' attributes.
return dict_copy
if __name__ == "__main__":
pt("__name__", __name__)
else:
pt("__name__", __name__)
from TFBoost.TFModels import global_function, global_metadata
arguments = global_metadata
Multiprocess(functions=object_to_json, arguments=(arguments, ))
#Multiprocess(functions=global_function, arguments=arguments)