161 lines
5.6 KiB
Python
161 lines
5.6 KiB
Python
# Copyright 2020 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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import unittest
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from absl.testing import parameterized
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from google.protobuf import json_format
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from kfp.dsl import _pipeline_param
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from kfp.pipeline_spec import pipeline_spec_pb2 as pb
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from kfp.v2.components import importer_node
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class ImporterNodeTest(parameterized.TestCase):
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@parameterized.parameters(
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{
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# artifact_uri is a constant value
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'input_uri':
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'gs://artifact',
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'artifact_type_schema':
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pb.ArtifactTypeSchema(schema_title='system.Dataset'),
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'expected_result': {
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'artifactUri': {
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'constantValue': {
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'stringValue': 'gs://artifact'
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}
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},
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'typeSchema': {
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'schemaTitle': 'system.Dataset'
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}
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}
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},
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{
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# artifact_uri is from PipelineParam
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'input_uri':
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_pipeline_param.PipelineParam(name='uri_to_import'),
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'artifact_type_schema':
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pb.ArtifactTypeSchema(schema_title='system.Model'),
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'expected_result': {
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'artifactUri': {
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'runtimeParameter': 'uri'
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},
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'typeSchema': {
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'schemaTitle': 'system.Model'
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}
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},
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})
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def test_build_importer_spec(self, input_uri, artifact_type_schema,
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expected_result):
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expected_importer_spec = pb.PipelineDeploymentConfig.ImporterSpec()
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json_format.ParseDict(expected_result, expected_importer_spec)
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importer_spec = importer_node._build_importer_spec(
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artifact_uri=input_uri, artifact_type_schema=artifact_type_schema)
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self.maxDiff = None
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self.assertEqual(expected_importer_spec, importer_spec)
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@parameterized.parameters(
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{
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# artifact_uri is a constant value
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'importer_name': 'importer-1',
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'input_uri': 'gs://artifact',
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'expected_result': {
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'inputs': {
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'parameters': {
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'uri': {
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'runtimeValue': {
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'constantValue': {
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'stringValue': 'gs://artifact'
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}
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}
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}
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}
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},
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'componentRef': {
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'name': 'comp-importer-1'
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},
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}
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},
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{
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# artifact_uri is from PipelineParam
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'importer_name': 'importer-2',
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'input_uri': _pipeline_param.PipelineParam(name='uri_to_import'),
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'expected_result': {
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'inputs': {
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'parameters': {
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'uri': {
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'componentInputParameter': 'uri_to_import'
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}
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}
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},
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'componentRef': {
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'name': 'comp-importer-2'
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},
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},
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})
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def test_build_importer_task_spec(self, importer_name, input_uri,
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expected_result):
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expected_task_spec = pb.PipelineTaskSpec()
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json_format.ParseDict(expected_result, expected_task_spec)
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task_spec = importer_node._build_importer_task_spec(
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importer_base_name=importer_name, artifact_uri=input_uri)
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self.maxDiff = None
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self.assertEqual(expected_task_spec, task_spec)
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def test_build_importer_component_spec(self):
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expected_importer_component = {
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'inputDefinitions': {
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'parameters': {
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'uri': {
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'type': 'STRING'
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}
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}
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},
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'outputDefinitions': {
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'artifacts': {
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'artifact': {
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'artifactType': {
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'schemaTitle': 'system.Artifact'
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}
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}
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}
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},
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'executorLabel': 'exec-importer-1'
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}
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expected_importer_comp_spec = pb.ComponentSpec()
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json_format.ParseDict(expected_importer_component,
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expected_importer_comp_spec)
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importer_comp_spec = importer_node._build_importer_component_spec(
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importer_base_name='importer-1',
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artifact_type_schema=pb.ArtifactTypeSchema(
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schema_title='system.Artifact'))
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self.maxDiff = None
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self.assertEqual(expected_importer_comp_spec, importer_comp_spec)
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def test_import_with_invalid_artifact_uri_value_should_fail(self):
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from kfp.v2.components.types.artifact_types import Dataset
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with self.assertRaisesRegex(
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ValueError,
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"Importer got unexpected artifact_uri: 123 of type: <class 'int'>."
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):
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importer_node.importer(artifact_uri=123, artifact_class=Dataset)
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if __name__ == '__main__':
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unittest.main()
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