77 lines
2.7 KiB
Python
77 lines
2.7 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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import kfp
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from kfp.dsl import Pipeline, PipelineParam, ContainerOp, pipeline
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from kfp.dsl._metadata import PipelineMeta, ParameterMeta, TypeMeta, _extract_pipeline_metadata
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from kfp.dsl.types import GCSPath, Integer
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import unittest
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class TestPipeline(unittest.TestCase):
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def test_basic(self):
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"""Test basic usage."""
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with Pipeline('somename') as p:
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self.assertTrue(Pipeline.get_default_pipeline() is not None)
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op1 = ContainerOp(name='op1', image='image')
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op2 = ContainerOp(name='op2', image='image')
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self.assertTrue(Pipeline.get_default_pipeline() is None)
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self.assertEqual(p.ops['op1'].name, 'op1')
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self.assertEqual(p.ops['op2'].name, 'op2')
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def test_nested_pipelines(self):
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"""Test nested pipelines"""
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with self.assertRaises(Exception):
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with Pipeline('somename1') as p1:
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with Pipeline('somename2') as p2:
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pass
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def test_decorator(self):
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"""Test @pipeline decorator."""
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@pipeline(
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name='p1',
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description='description1'
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)
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def my_pipeline1():
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pass
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@pipeline(
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name='p2',
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description='description2'
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)
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def my_pipeline2():
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pass
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self.assertEqual(my_pipeline1._pipeline_name, 'p1')
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self.assertEqual(my_pipeline2._pipeline_name, 'p2')
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self.assertEqual(my_pipeline1._pipeline_description, 'description1')
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self.assertEqual(my_pipeline2._pipeline_description, 'description2')
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def test_decorator_metadata(self):
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"""Test @pipeline decorator with metadata."""
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@pipeline(
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name='p1',
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description='description1'
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)
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def my_pipeline1(a: {'Schema': {'file_type': 'csv'}}='good', b: Integer()=12):
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pass
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golden_meta = PipelineMeta(name='p1', description='description1')
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golden_meta.inputs.append(ParameterMeta(name='a', description='', param_type=TypeMeta(name='Schema', properties={'file_type': 'csv'}), default='good'))
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golden_meta.inputs.append(ParameterMeta(name='b', description='', param_type=TypeMeta(name='Integer', properties={'openapi_schema_validator': {"type": "integer"}}), default=12))
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pipeline_meta = _extract_pipeline_metadata(my_pipeline1)
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self.assertEqual(pipeline_meta, golden_meta) |