# -*- coding: utf-8 -*-
#
# Apache Software License 2.0
#
# Copyright (c) 2022-2023, Jan Bessai, Anne Meyer, Hadi Kutabi, Daniel Scholtyssek
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from collections.abc import Iterable
[docs]class UniqueTaskPipelineValidator(object):
def __init__(self, unique_abstract_classes):
self.unique_abstract_classes = unique_abstract_classes
[docs] def validate(self, pipeline):
traversal = self.dfs(pipeline)
concrete_cls_map = dict()
for obj in traversal:
for cls in self.unique_abstract_classes:
if isinstance(obj, cls):
if cls in concrete_cls_map:
concrete_cls = concrete_cls_map[cls]
if not isinstance(obj, concrete_cls):
return False
else:
concrete_cls_map[cls] = obj.__class__
return True
[docs] def dfs(self, start):
traversal = [start]
dependencies = start.requires()
if isinstance(dependencies, dict):
for dependency in start.requires().values():
traversal.extend(self.dfs(dependency))
elif isinstance(dependencies, Iterable):
for dependency in start.requires():
traversal.extend(self.dfs(dependency))
else:
traversal.extend(self.dfs(dependencies))
return traversal