121 lines
3.8 KiB
Python
121 lines
3.8 KiB
Python
# Copyright 2020 Google LLC
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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 kfp.v2.dsl import importer_node
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from kfp.pipeline_spec import pipeline_spec_pb2 as pb
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from google.protobuf import json_format
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class ImporterNodeTest(unittest.TestCase):
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def test_build_importer_task(self):
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dependent_task = {
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'taskInfo': {
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'name': 'task1'
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},
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'inputs': {
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'artifacts': {
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'input1': {
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'producerTask': '',
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}
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}
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},
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'executorLabel': 'task1_input1_importer'
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}
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dependent_task_spec = pb.PipelineTaskSpec()
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json_format.ParseDict(dependent_task, dependent_task_spec)
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expected_task = {
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'taskInfo': {
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'name': 'task1_input1_importer'
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},
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'outputs': {
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'artifacts': {
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'result': {
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'artifactType': {
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'instanceSchema': 'title: kfp.Artifact'
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}
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}
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}
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},
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'executorLabel': 'task1_input1_importer'
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}
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expected_task_spec = pb.PipelineTaskSpec()
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json_format.ParseDict(expected_task, expected_task_spec)
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task_spec = importer_node.build_importer_task_spec(
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dependent_task=dependent_task_spec,
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input_name='input1',
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input_type_schema='title: kfp.Artifact')
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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_spec_from_pipeline_param(self):
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expected_importer = {
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'artifactUri': {
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'runtimeParameter': 'param1'
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},
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'typeSchema': {
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'instanceSchema': 'title: kfp.Artifact'
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}
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}
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expected_importer_spec = pb.PipelineDeploymentConfig.ImporterSpec()
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json_format.ParseDict(expected_importer, expected_importer_spec)
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importer_spec = importer_node.build_importer_spec(
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input_type_schema='title: kfp.Artifact', pipeline_param_name='param1')
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self.maxDiff = None
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self.assertEqual(expected_importer_spec, importer_spec)
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def test_build_importer_spec_from_constant_value(self):
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expected_importer = {
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'artifactUri': {
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'constantValue': {
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'stringValue': 'some_uri'
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}
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},
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'typeSchema': {
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'instanceSchema': 'title: kfp.Artifact'
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}
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}
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expected_importer_spec = pb.PipelineDeploymentConfig.ImporterSpec()
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json_format.ParseDict(expected_importer, expected_importer_spec)
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importer_spec = importer_node.build_importer_spec(
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input_type_schema='title: kfp.Artifact', constant_value='some_uri')
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self.maxDiff = None
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self.assertEqual(expected_importer_spec, importer_spec)
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def test_build_importer_spec_with_invalid_inputs_should_fail(self):
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with self.assertRaisesRegexp(
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AssertionError,
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'importer spec should be built using either pipeline_param_name or '
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'constant_value'):
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importer_node.build_importer_spec(
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input_type_schema='title: kfp.Artifact',
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pipeline_param_name='param1',
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constant_value='some_uri')
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with self.assertRaisesRegexp(
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AssertionError,
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'importer spec should be built using either pipeline_param_name or '
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'constant_value'):
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importer_node.build_importer_spec(input_type_schema='title: kfp.Artifact')
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if __name__ == '__main__':
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unittest.main()
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