67 lines
2.5 KiB
Python
67 lines
2.5 KiB
Python
# Copyright 2018 The Kubeflow Authors
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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 os
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import shutil
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import sys
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import unittest
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import yaml
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# Need to adjust sys path to find utils.py
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_PACKAGE_PARENT = '..'
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_SCRIPT_DIR = os.path.dirname(os.path.realpath(os.path.join(os.getcwd(), os.path.expanduser(__file__))))
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sys.path.append(os.path.normpath(os.path.join(_SCRIPT_DIR, _PACKAGE_PARENT)))
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import utils
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_DATAPATH = 'testdata/'
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_WORK_DIR = 'workdir/'
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class TestUtils(unittest.TestCase):
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"""Unit tests for utility functions defined in test/sample-test/utils.py"""
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def setUp(self) -> None:
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"""Prepare unit test environment."""
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os.mkdir(_WORK_DIR)
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# Copy file for test_file_injection because the function works inplace.
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shutil.copyfile(os.path.join(_DATAPATH, 'test_file_injection_input.yaml'),
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os.path.join(_WORK_DIR, 'test_file_injection.yaml'))
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def tearDown(self) -> None:
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"""Clean up."""
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shutil.rmtree(_WORK_DIR)
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def test_file_injection(self):
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"""Test file_injection function."""
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subs = {
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'gcr\.io/ml-pipeline/ml-pipeline-local-confusion-matrix:\w+':'gcr.io/ml-pipeline/LOCAL_CONFUSION_MATRIX_IMAGE',
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'gcr\.io/ml-pipeline/ml-pipeline-dataproc-analyze:\w+':'gcr.io/ml-pipeline/DATAPROC_ANALYZE_IMAGE',
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'gcr\.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:\w+':'gcr.io/ml-pipeline/DATAPROC_CREATE_IMAGE',
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'gcr\.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:\w+':'gcr.io/ml-pipeline/DATAPROC_DELETE_IMAGE',
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}
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utils.file_injection(
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os.path.join(_WORK_DIR, 'test_file_injection.yaml'),
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os.path.join(_WORK_DIR, 'test_file_injection_tmp.yaml'),
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subs)
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with open(os.path.join(_DATAPATH,
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'test_file_injection_output.yaml'), 'r') as f:
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golden = yaml.safe_load(f)
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with open(os.path.join(_WORK_DIR,
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'test_file_injection.yaml'), 'r') as f:
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injected = yaml.safe_load(f)
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self.assertEqual(golden, injected) |