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110 lines
2.9 KiB
Python
110 lines
2.9 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2023 Ant Group CO., Ltd.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
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# in compliance with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software distributed under the License
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# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
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# or implied.
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from abc import ABC
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from enum import Enum
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from typing import List, Union, Type
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import networkx as nx
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from knext.common.restable import RESTable
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from knext.common.runnable import Runnable
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class ComponentTypeEnum(str, Enum):
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Builder = "BUILDER"
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Reasoner = "REASONER"
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GraphLearning = "GRAPH_LEARNING"
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class Component(Runnable, RESTable, ABC):
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"""
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Base class for all component.
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"""
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@property
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def id(self):
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return str(id(self))
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@property
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def type(self):
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return
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@property
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def label(self):
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return
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@property
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def name(self):
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return self.__class__.__name__
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def to_dict(self):
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return {"id": self.id, "name": self.name}
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def __hash__(self):
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return id(self)
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def __eq__(self, other):
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return hash(self) == hash(other)
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def __rshift__(
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self,
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other: Union[
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Type["Chain"],
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List[Type["Chain"]],
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Type["Component"],
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List[Type["Component"]],
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None,
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],
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):
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from knext.chain.base import Chain
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if not other:
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return self
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if not isinstance(other, list):
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other = [other]
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dag_list = []
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for o in other:
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if not o:
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dag = nx.DiGraph()
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self.last = True
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dag.add_node(self)
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dag_list.append(dag)
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if isinstance(o, Component):
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dag = nx.DiGraph()
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dag.add_node(self)
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dag.add_node(o)
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dag.add_edge(self, o)
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dag_list.append(dag)
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elif isinstance(o, Chain):
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dag = nx.DiGraph()
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dag.add_node(self)
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end_nodes = [
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node
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for node, out_degree in dag.out_degree()
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if out_degree == 0 or node.last
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]
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start_nodes = [
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node for node, in_degree in o.dag.in_degree() if in_degree == 0
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]
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if len(end_nodes) > 0 and len(start_nodes) > 0:
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for end_node in end_nodes:
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for start_node in start_nodes:
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combined_dag.add_edge(end_node, start_node)
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combined_dag = nx.compose(dag, o.dag)
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dag_list.append(combined_dag)
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final_dag = nx.compose_all(dag_list)
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return Chain(dag=final_dag)
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