pipelines/sdk/python/tests/dsl/metadata_tests.py

100 lines
4.2 KiB
Python

# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from kfp.components.structures import ComponentSpec, InputSpec, OutputSpec
import unittest
class TestComponentMeta(unittest.TestCase):
def test_to_dict(self):
component_meta = ComponentSpec(name='foobar',
description='foobar example',
inputs=[InputSpec(name='input1',
description='input1 desc',
type={'GCSPath': {
'bucket_type': 'directory',
'file_type': 'csv'
}},
default='default1'
),
InputSpec(name='input2',
description='input2 desc',
type={'TFModel': {
'input_data': 'tensor',
'version': '1.8.0'
}},
default='default2'
),
InputSpec(name='input3',
description='input3 desc',
type='Integer',
default='default3'
),
],
outputs=[OutputSpec(name='output1',
description='output1 desc',
type={'Schema': {
'file_type': 'tsv'
}},
)
]
)
golden_meta = {
'name': 'foobar',
'description': 'foobar example',
'inputs': [
{
'name': 'input1',
'description': 'input1 desc',
'type': {
'GCSPath': {
'bucket_type': 'directory',
'file_type': 'csv'
}
},
'default': 'default1'
},
{
'name': 'input2',
'description': 'input2 desc',
'type': {
'TFModel': {
'input_data': 'tensor',
'version': '1.8.0'
}
},
'default': 'default2'
},
{
'name': 'input3',
'description': 'input3 desc',
'type': 'Integer',
'default': 'default3'
}
],
'outputs': [
{
'name': 'output1',
'description': 'output1 desc',
'type': {
'Schema': {
'file_type': 'tsv'
}
},
}
]
}
self.assertEqual(component_meta.to_dict(), golden_meta)