def __process_compute_kind(source: Parameter, raw_data, pipeline_topic):
# print("__process_compute_kind ",__is_date_func(source.type))
if __is_date_func(source.type):
value_list = get_source_value_list(
pipeline_topic, raw_data,
Parameter.parse_obj(source.parameters[0]))
if type(value_list) == list:
result = []
for value in value_list:
result.append(__process_date_func(source, value))
return result
else:
return __process_date_func(source, value_list)
elif __is_calculation_operation(source.type):
operator = __get_operator(source.type)
value_list = []
for parameter in source.parameters:
value = get_source_value_list(pipeline_topic, raw_data,
Parameter.parse_obj(parameter))
if type(value) is list:
value_list.append(np.array(value))
else:
value_list.append(value)
# print("value :", value_list)
return __process_operator(operator, value_list).tolist()
def __process_compute_kind(source: Parameter,
raw_data,
pipeline_topic,
target_factor=None,
context=None):
if __is_date_func(source.type):
value_list = get_source_value_list(
pipeline_topic, raw_data,
Parameter.parse_obj(source.parameters[0]), target_factor)
if type(value_list) == list:
result = []
for value in value_list:
result.append(__process_date_func(source, value))
return result
else:
return __process_date_func(source, value_list)
elif __is_calculation_operation(source.type):
operator = __get_operator(source.type)
value_list = []
for parameter in source.parameters:
value = get_source_value_list(pipeline_topic, raw_data,
Parameter.parse_obj(parameter),
target_factor, context)
if type(value) is list:
value_list.append(np.array(value))
else:
value_list.append(value)
return __process_operator(operator, value_list)
def __process_compute_date(parameter, pipeline_topic, raw_data):
value_list = get_source_value_list(pipeline_topic, raw_data, Parameter.parse_obj(parameter.parameters[0]))
if type(value_list) == list:
result = []
for value in value_list:
result.append(__process_date_func(parameter, value))
return result
else:
return __process_date_func(parameter, value_list)