92 lines
3.7 KiB
Python
92 lines
3.7 KiB
Python
# Copyright 2018 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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from kubernetes.client.models import V1ConfigMap, V1Container, V1EnvVar
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from kfp.dsl import PipelineParam
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from kfp.dsl._pipeline_param import _extract_pipelineparams, extract_pipelineparams_from_any
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import unittest
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class TestPipelineParam(unittest.TestCase):
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def test_invalid(self):
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"""Invalid pipeline param name and op_name."""
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with self.assertRaises(ValueError):
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p = PipelineParam(name='123_abc')
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def test_str_repr(self):
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"""Test string representation."""
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p = PipelineParam(name='param1', op_name='op1')
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self.assertEqual('{{pipelineparam:op=op1;name=param1}}', str(p))
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p = PipelineParam(name='param2')
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self.assertEqual('{{pipelineparam:op=;name=param2}}', str(p))
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p = PipelineParam(name='param3', value='value3')
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self.assertEqual('{{pipelineparam:op=;name=param3}}', str(p))
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def test_extract_pipelineparams(self):
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"""Test _extract_pipeleineparams."""
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p1 = PipelineParam(name='param1', op_name='op1')
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p2 = PipelineParam(name='param2')
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p3 = PipelineParam(name='param3', value='value3')
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stuff_chars = ' between '
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payload = str(p1) + stuff_chars + str(p2) + stuff_chars + str(p3)
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params = _extract_pipelineparams(payload)
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self.assertListEqual([p1, p2, p3], params)
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payload = [str(p1) + stuff_chars + str(p2), str(p2) + stuff_chars + str(p3)]
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params = _extract_pipelineparams(payload)
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self.assertListEqual([p1, p2, p3], params)
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def test_extract_pipelineparams_from_any(self):
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"""Test extract_pipeleineparams."""
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p1 = PipelineParam(name='param1', op_name='op1')
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p2 = PipelineParam(name='param2')
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p3 = PipelineParam(name='param3', value='value3')
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stuff_chars = ' between '
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payload = str(p1) + stuff_chars + str(p2) + stuff_chars + str(p3)
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container = V1Container(name=p1,
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image=p2,
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env=[V1EnvVar(name="foo", value=payload)])
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params = extract_pipelineparams_from_any(container)
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self.assertListEqual(sorted([p1, p2, p3]), sorted(params))
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def test_extract_pipelineparams_from_dict(self):
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"""Test extract_pipeleineparams."""
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p1 = PipelineParam(name='param1', op_name='op1')
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p2 = PipelineParam(name='param2')
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configmap = V1ConfigMap(data={str(p1): str(p2)})
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params = extract_pipelineparams_from_any(configmap)
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self.assertListEqual(sorted([p1, p2]), sorted(params))
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def test_extract_pipelineparam_with_types(self):
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"""Test _extract_pipelineparams. """
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p1 = PipelineParam(name='param1', op_name='op1', param_type={'customized_type_a': {'property_a': 'value_a'}})
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p2 = PipelineParam(name='param2', param_type='customized_type_b')
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p3 = PipelineParam(name='param3', value='value3', param_type={'customized_type_c': {'property_c': 'value_c'}})
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stuff_chars = ' between '
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payload = str(p1) + stuff_chars + str(p2) + stuff_chars + str(p3)
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params = _extract_pipelineparams(payload)
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self.assertListEqual([p1, p2, p3], params)
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# Expecting the _extract_pipelineparam to dedup the pipelineparams among all the payloads.
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payload = [str(p1) + stuff_chars + str(p2), str(p2) + stuff_chars + str(p3)]
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params = _extract_pipelineparams(payload)
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self.assertListEqual([p1, p2, p3], params)
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