def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain
and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
tree, operators = construct_tree(
node.as_dict()['arguments']['process']['process_graph'])
# print (operators)
formula = None
output_datatype = GrassDataType.RASTER
formula = serialize_tree(tree)
# print(formula)
output_datatype = GrassDataType.STRDS
input_objects, process_list = check_node_parents(node=node)
output_objects = []
for input_object in node.get_parent_by_name("data").output_objects:
output_object = DataObject(name=create_output_name(
input_object.name, PROCESS_NAME),
datatype=output_datatype)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(input_object, formula, operators,
output_object)
process_list.append(pc)
return output_objects, process_list
def get_process_list(node: Node):
"""Analyse the process description and return the Actinia process chain
and the name of the processing result layer
which is a single raster layer
:param node: The process node
:return: (output_objects, actinia_process_list)
"""
# get dimension type
dimtype = get_dimension_type(node.arguments["dimension"])
if dimtype is None:
raise Exception(
'Unable to determine dimension type for dimension <%s>.' %
(node.arguments["dimension"]))
tree, operators = construct_tree(
node.as_dict()['arguments']['reducer']['process_graph'])
# print (operators)
formula = None
output_datatype = GrassDataType.STRDS
if dimtype == 'bands':
formula = serialize_tree(tree)
# print (formula)
output_datatype = GrassDataType.STRDS
elif dimtype == 'temporal':
if len(operators) != 1:
raise Exception(
'Only one method is supported by reduce process on the temporal dimension.'
)
input_objects, process_list = check_node_parents(node=node)
output_objects = []
for input_object in node.get_parent_by_name("data").output_objects:
output_object = DataObject(name=create_output_name(
input_object.name, node),
datatype=output_datatype)
output_objects.append(output_object)
node.add_output(output_object=output_object)
pc = create_process_chain_entry(input_object, dimtype, formula,
operators, output_object)
process_list.extend(pc)
return output_objects, process_list
