55 lines
2.0 KiB
Python
55 lines
2.0 KiB
Python
# Copyright 2021-2022 The Kubeflow Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Component loaded from YAML."""
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from google.protobuf import json_format
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from kfp.dsl import base_component
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from kfp.dsl import structures
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from kfp.pipeline_spec import pipeline_spec_pb2
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class YamlComponent(base_component.BaseComponent):
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"""A component loaded from a YAML file.
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**Note:** ``YamlComponent`` is not intended to be used to construct components directly. Use ``kfp.components.load_component_from_*()`` instead.
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Attribute:
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component_spec: Component definition.
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component_yaml: The yaml string that this component is loaded from.
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"""
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def __init__(
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self,
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component_spec: structures.ComponentSpec,
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component_yaml: str,
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):
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super().__init__(component_spec=component_spec)
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self.component_yaml = component_yaml
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@property
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def pipeline_spec(self) -> pipeline_spec_pb2.PipelineSpec:
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"""Returns the pipeline spec of the component."""
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component_dict = structures.load_documents_from_yaml(
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self.component_yaml)[0]
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is_v1 = 'implementation' in set(component_dict.keys())
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if is_v1:
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return self.component_spec.to_pipeline_spec()
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else:
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return json_format.ParseDict(component_dict,
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pipeline_spec_pb2.PipelineSpec())
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def execute(self, *args, **kwargs):
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"""Not implemented."""
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raise NotImplementedError
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