135 lines
6.2 KiB
Python
135 lines
6.2 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 kfp.dsl._metadata import ComponentMeta, ParameterMeta, TypeMeta
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import unittest
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class TestTypeMeta(unittest.TestCase):
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def test_deserialize(self):
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component_dict = {
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'GCSPath': {
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'bucket_type': 'directory',
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'file_type': 'csv'
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}
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}
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golden_type_meta = TypeMeta(name='GCSPath', properties={'bucket_type': 'directory',
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'file_type': 'csv'})
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self.assertEqual(TypeMeta.deserialize(component_dict), golden_type_meta)
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component_str = 'GCSPath'
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golden_type_meta = TypeMeta(name='GCSPath')
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self.assertEqual(TypeMeta.deserialize(component_str), golden_type_meta)
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def test_eq(self):
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type_a = TypeMeta(name='GCSPath', properties={'bucket_type': 'directory',
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'file_type': 'csv'})
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type_b = TypeMeta(name='GCSPath', properties={'bucket_type': 'directory',
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'file_type': 'tsv'})
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type_c = TypeMeta(name='GCSPatha', properties={'bucket_type': 'directory',
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'file_type': 'csv'})
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type_d = TypeMeta(name='GCSPath', properties={'bucket_type': 'directory',
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'file_type': 'csv'})
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self.assertNotEqual(type_a, type_b)
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self.assertNotEqual(type_a, type_c)
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self.assertEqual(type_a, type_d)
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class TestComponentMeta(unittest.TestCase):
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def test_to_dict(self):
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component_meta = ComponentMeta(name='foobar',
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description='foobar example',
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inputs=[ParameterMeta(name='input1',
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description='input1 desc',
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param_type=TypeMeta(name='GCSPath',
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properties={'bucket_type': 'directory',
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'file_type': 'csv'
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}
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),
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default='default1'
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),
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ParameterMeta(name='input2',
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description='input2 desc',
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param_type=TypeMeta(name='TFModel',
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properties={'input_data': 'tensor',
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'version': '1.8.0'
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}
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),
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default='default2'
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),
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ParameterMeta(name='input3',
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description='input3 desc',
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param_type=TypeMeta(name='Integer'),
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default='default3'
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),
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],
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outputs=[ParameterMeta(name='output1',
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description='output1 desc',
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param_type=TypeMeta(name='Schema',
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properties={'file_type': 'tsv'
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}
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),
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default='default_output1'
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)
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]
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)
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golden_meta = {
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'name': 'foobar',
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'description': 'foobar example',
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'inputs': [
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{
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'name': 'input1',
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'description': 'input1 desc',
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'type': {
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'GCSPath': {
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'bucket_type': 'directory',
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'file_type': 'csv'
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}
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},
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'default': 'default1'
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},
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{
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'name': 'input2',
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'description': 'input2 desc',
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'type': {
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'TFModel': {
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'input_data': 'tensor',
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'version': '1.8.0'
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}
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},
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'default': 'default2'
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},
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{
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'name': 'input3',
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'description': 'input3 desc',
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'type': 'Integer',
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'default': 'default3'
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}
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],
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'outputs': [
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{
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'name': 'output1',
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'description': 'output1 desc',
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'type': {
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'Schema': {
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'file_type': 'tsv'
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}
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},
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'default': 'default_output1'
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}
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]
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}
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self.assertEqual(component_meta.to_dict(), golden_meta)
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