664 lines
24 KiB
Python
664 lines
24 KiB
Python
# Copyright 2023 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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"""Tests for executor_output_utils.py."""
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import json
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import os
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import tempfile
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from typing import List
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import unittest
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from absl.testing import parameterized
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from google.protobuf import json_format
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from google.protobuf import struct_pb2
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from kfp import dsl
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from kfp.local import executor_output_utils
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from kfp.local import testing_utilities
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from kfp.pipeline_spec import pipeline_spec_pb2
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class TestGetOutputsFromMessages(
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testing_utilities.LocalRunnerEnvironmentTestCase):
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def test(self):
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executor_input = pipeline_spec_pb2.ExecutorInput()
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json_format.ParseDict(
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{
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'inputs': {
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'parameterValues': {
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'string_in': 'foo'
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}
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},
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'outputs': {
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'parameters': {
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'int_out': {
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'outputFile':
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'foo/multiple-io-2023-11-09-12-12-05-528112/multiple-io/int_out'
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},
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'str_out': {
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'outputFile':
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'foo/multiple-io-2023-11-09-12-12-05-528112/multiple-io/str_out'
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}
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},
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'artifacts': {
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'dataset_out': {
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'artifacts': [{
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'name':
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'dataset_out',
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'type': {
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'schemaTitle': 'system.Dataset',
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'schemaVersion': '0.0.1'
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},
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'uri':
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'foo/multiple-io-2023-11-09-12-12-05-528112/multiple-io/dataset_out',
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'metadata': {}
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}]
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}
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},
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'outputFile':
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'foo/multiple-io-2023-11-09-12-12-05-528112/multiple-io/executor_output.json'
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}
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}, executor_input)
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component_spec = pipeline_spec_pb2.ComponentSpec()
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json_format.ParseDict(
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{
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'inputDefinitions': {
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'parameters': {
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'string_in': {
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'parameterType': 'STRING'
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}
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}
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},
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'outputDefinitions': {
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'artifacts': {
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'dataset_out': {
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'artifactType': {
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'schemaTitle': 'system.Dataset',
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'schemaVersion': '0.0.1'
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}
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}
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},
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'parameters': {
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'int_out': {
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'parameterType': 'NUMBER_INTEGER'
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},
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'str_out': {
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'parameterType': 'STRING'
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}
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}
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},
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'executorLabel': 'exec-multiple-io'
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}, component_spec)
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executor_output = pipeline_spec_pb2.ExecutorOutput()
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json_format.ParseDict(
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{
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'parameterValues': {
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'int_out': 1,
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'str_out': 'foo'
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},
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'artifacts': {
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'dataset_out': {
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'artifacts': [{
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'name':
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'dataset_out',
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'uri':
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'foo/multiple-io-2023-11-09-12-12-05-528112/multiple-io/dataset_out',
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'metadata': {
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'foo': 'bar'
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}
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}]
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}
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}
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}, executor_output)
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os.makedirs(os.path.dirname(executor_input.outputs.output_file))
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with open(executor_input.outputs.output_file, 'w') as f:
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f.write(json_format.MessageToJson(executor_output))
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outputs = executor_output_utils.get_outputs_for_task(
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executor_input=executor_input,
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component_spec=component_spec,
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)
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self.assertEqual(outputs['int_out'], 1)
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self.assertEqual(outputs['str_out'], 'foo')
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assert_artifacts_equal(
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self,
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outputs['dataset_out'],
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dsl.Dataset(
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name='dataset_out',
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uri='foo/multiple-io-2023-11-09-12-12-05-528112/multiple-io/dataset_out',
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metadata={'foo': 'bar'}),
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)
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class TestLoadExecutorOutput(unittest.TestCase):
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def test_exists(self):
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with tempfile.TemporaryDirectory() as tempdir:
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executor_output = pipeline_spec_pb2.ExecutorOutput(
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parameter_values={
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'foo': struct_pb2.Value(string_value='foo_value')
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})
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path = os.path.join(tempdir, 'executor_output.json')
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testing_utilities.write_proto_to_json_file(executor_output, path)
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actual = executor_output_utils.load_executor_output(path)
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expected = pipeline_spec_pb2.ExecutorOutput()
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expected.parameter_values['foo'].CopyFrom(
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struct_pb2.Value(string_value='foo_value'))
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self.assertEqual(
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actual.SerializeToString(deterministic=True),
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expected.SerializeToString(deterministic=True),
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)
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def test_not_exists(self):
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non_existent_path = 'non_existent_path.json'
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actual = executor_output_utils.load_executor_output(non_existent_path)
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expected = pipeline_spec_pb2.ExecutorOutput()
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self.assertEqual(
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actual.SerializeToString(deterministic=True),
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expected.SerializeToString(deterministic=True),
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)
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class TestGetOutputsFromExecutorOutput(unittest.TestCase):
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def test_param_and_artifact_outputs(self):
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# include the special case of an output int for more complete testing of behavior
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executor_output = pipeline_spec_pb2.ExecutorOutput()
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json_format.ParseDict(
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{
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'parameterValues': {
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'int_out': 1,
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'str_out': 'foo'
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},
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'artifacts': {
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'dataset_out': {
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'artifacts': [{
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'name':
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'dataset_out',
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'uri':
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'foo/multiple-io-2023-11-09-11-31-31-064429/multiple-io/dataset_out',
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'metadata': {
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'foo': 'bar'
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}
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}]
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}
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}
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}, executor_output)
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executor_input = pipeline_spec_pb2.ExecutorInput()
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json_format.ParseDict(
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{
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'inputs': {
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'parameterValues': {
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'string_in': 'foo'
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}
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},
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'outputs': {
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'parameters': {
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'int_out': {
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'outputFile':
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'foo/temp_root/multiple-io-2023-11-09-11-31-31-064429/multiple-io/int_out'
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},
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'str_out': {
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'outputFile':
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'foo/multiple-io-2023-11-09-11-31-31-064429/multiple-io/str_out'
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}
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},
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'artifacts': {
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'dataset_out': {
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'artifacts': [{
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'name':
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'dataset_out',
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'type': {
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'schemaTitle': 'system.Dataset',
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'schemaVersion': '0.0.1'
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},
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'uri':
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'foo/multiple-io-2023-11-09-11-31-31-064429/multiple-io/dataset_out',
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'metadata': {}
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}]
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}
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},
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'outputFile':
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'foo/multiple-io-2023-11-09-11-31-31-064429/multiple-io/executor_output.json'
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}
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}, executor_input)
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component_spec = pipeline_spec_pb2.ComponentSpec()
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json_format.ParseDict(
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{
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'inputDefinitions': {
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'parameters': {
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'string_in': {
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'parameterType': 'STRING'
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}
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}
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},
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'outputDefinitions': {
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'artifacts': {
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'dataset_out': {
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'artifactType': {
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'schemaTitle': 'system.Dataset',
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'schemaVersion': '0.0.1'
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}
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}
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},
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'parameters': {
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'int_out': {
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'parameterType': 'NUMBER_INTEGER'
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},
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'str_out': {
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'parameterType': 'STRING'
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}
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}
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},
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'executorLabel': 'exec-multiple-io'
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}, component_spec)
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outputs = executor_output_utils.get_outputs_from_executor_output(
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executor_output=executor_output,
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executor_input=executor_input,
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component_spec=component_spec,
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)
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self.assertIsInstance(outputs, dict)
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self.assertIsInstance(outputs['dataset_out'], dsl.Dataset)
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self.assertEqual(outputs['dataset_out'].name, 'dataset_out')
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self.assertEqual(
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outputs['dataset_out'].uri,
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'foo/multiple-io-2023-11-09-11-31-31-064429/multiple-io/dataset_out'
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)
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self.assertEqual(outputs['dataset_out'].metadata, {'foo': 'bar'})
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self.assertEqual(outputs['int_out'], 1)
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self.assertEqual(outputs['str_out'], 'foo')
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class TestPb2ValueToPython(unittest.TestCase):
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def test_null(self):
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inp = struct_pb2.Value(null_value=struct_pb2.NullValue.NULL_VALUE)
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actual = executor_output_utils.pb2_value_to_python(inp)
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expected = None
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self.assertEqual(actual, expected)
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def test_string(self):
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inp = struct_pb2.Value(string_value='foo_value')
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actual = executor_output_utils.pb2_value_to_python(inp)
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expected = 'foo_value'
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self.assertEqual(actual, expected)
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def test_number_int(self):
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inp = struct_pb2.Value(number_value=1)
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actual = executor_output_utils.pb2_value_to_python(inp)
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expected = 1.0
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self.assertEqual(actual, expected)
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def test_number_float(self):
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inp = struct_pb2.Value(number_value=1.0)
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actual = executor_output_utils.pb2_value_to_python(inp)
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expected = 1.0
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self.assertEqual(actual, expected)
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def test_bool(self):
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inp = struct_pb2.Value(bool_value=True)
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actual = executor_output_utils.pb2_value_to_python(inp)
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expected = True
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self.assertIs(actual, expected)
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def test_dict(self):
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struct_value = struct_pb2.Struct()
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struct_value.fields['my_key'].string_value = 'my_value'
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struct_value.fields['other_key'].bool_value = True
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inp = struct_pb2.Value(struct_value=struct_value)
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actual = executor_output_utils.pb2_value_to_python(inp)
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expected = {'my_key': 'my_value', 'other_key': True}
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self.assertEqual(actual, expected)
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class TestRuntimeArtifactToDslArtifact(unittest.TestCase):
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def test_artifact(self):
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metadata = struct_pb2.Struct()
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metadata.fields['foo'].string_value = 'bar'
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type_ = pipeline_spec_pb2.ArtifactTypeSchema(
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schema_title='system.Artifact',
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schema_version='0.0.1',
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)
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runtime_artifact = pipeline_spec_pb2.RuntimeArtifact(
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name='a',
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uri='gs://bucket/foo',
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metadata=metadata,
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type=type_,
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)
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actual = executor_output_utils.runtime_artifact_to_dsl_artifact(
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runtime_artifact)
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expected = dsl.Artifact(
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name='a',
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uri='gs://bucket/foo',
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metadata={'foo': 'bar'},
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)
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assert_artifacts_equal(self, actual, expected)
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def test_dataset(self):
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metadata = struct_pb2.Struct()
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metadata.fields['baz'].string_value = 'bat'
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type_ = pipeline_spec_pb2.ArtifactTypeSchema(
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schema_title='system.Dataset',
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schema_version='0.0.1',
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)
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runtime_artifact = pipeline_spec_pb2.RuntimeArtifact(
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name='d',
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uri='gs://bucket/foo',
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metadata=metadata,
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type=type_,
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)
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actual = executor_output_utils.runtime_artifact_to_dsl_artifact(
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runtime_artifact)
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expected = dsl.Dataset(
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name='d',
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uri='gs://bucket/foo',
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metadata={'baz': 'bat'},
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)
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assert_artifacts_equal(self, actual, expected)
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class TestArtifactListToDslArtifact(unittest.TestCase):
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def test_not_list(self):
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metadata = struct_pb2.Struct()
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metadata.fields['foo'].string_value = 'bar'
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type_ = pipeline_spec_pb2.ArtifactTypeSchema(
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schema_title='system.Artifact',
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schema_version='0.0.1',
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)
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runtime_artifact = pipeline_spec_pb2.RuntimeArtifact(
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name='a',
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uri='gs://bucket/foo',
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metadata=metadata,
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type=type_,
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)
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artifact_list = pipeline_spec_pb2.ArtifactList(
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artifacts=[runtime_artifact])
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actual = executor_output_utils.artifact_list_to_dsl_artifact(
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artifact_list,
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is_artifact_list=False,
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)
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expected = dsl.Artifact(
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name='a',
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uri='gs://bucket/foo',
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metadata={'foo': 'bar'},
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)
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assert_artifacts_equal(self, actual, expected)
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def test_single_entry_list(self):
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metadata = struct_pb2.Struct()
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metadata.fields['foo'].string_value = 'bar'
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type_ = pipeline_spec_pb2.ArtifactTypeSchema(
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schema_title='system.Dataset',
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schema_version='0.0.1',
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)
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runtime_artifact = pipeline_spec_pb2.RuntimeArtifact(
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name='a',
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uri='gs://bucket/foo',
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metadata=metadata,
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type=type_,
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)
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artifact_list = pipeline_spec_pb2.ArtifactList(
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artifacts=[runtime_artifact])
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actual = executor_output_utils.artifact_list_to_dsl_artifact(
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artifact_list,
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is_artifact_list=True,
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)
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expected = [
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dsl.Dataset(
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name='a',
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uri='gs://bucket/foo',
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metadata={'foo': 'bar'},
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)
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]
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assert_artifact_lists_equal(self, actual, expected)
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def test_multi_entry_list(self):
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metadata = struct_pb2.Struct()
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metadata.fields['foo'].string_value = 'bar'
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type_ = pipeline_spec_pb2.ArtifactTypeSchema(
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schema_title='system.Dataset',
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schema_version='0.0.1',
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)
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runtime_artifact1 = pipeline_spec_pb2.RuntimeArtifact(
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name='a',
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uri='gs://bucket/foo/a',
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metadata=metadata,
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type=type_,
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)
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runtime_artifact2 = pipeline_spec_pb2.RuntimeArtifact(
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name='b',
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uri='gs://bucket/foo/b',
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type=type_,
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)
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artifact_list = pipeline_spec_pb2.ArtifactList(
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artifacts=[runtime_artifact1, runtime_artifact2])
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actual = executor_output_utils.artifact_list_to_dsl_artifact(
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artifact_list,
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is_artifact_list=True,
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)
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expected = [
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dsl.Dataset(
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name='a',
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uri='gs://bucket/foo/a',
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metadata={'foo': 'bar'},
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),
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dsl.Dataset(
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name='b',
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uri='gs://bucket/foo/b',
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)
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]
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assert_artifact_lists_equal(self, actual, expected)
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|
|
|
|
|
class AddTypeToExecutorOutput(unittest.TestCase):
|
|
|
|
def test(self):
|
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executor_input = pipeline_spec_pb2.ExecutorInput()
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json_format.ParseDict(
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{
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'inputs': {},
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'outputs': {
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'artifacts': {
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'dataset_out': {
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|
'artifacts': [{
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|
'name':
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'dataset_out',
|
|
'type': {
|
|
'schemaTitle': 'system.Dataset',
|
|
'schemaVersion': '0.0.1'
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},
|
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'uri':
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'foo/multiple-io-2023-11-09-12-04-18-616263/multiple-io/dataset_out',
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'metadata': {}
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}]
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},
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'model_out': {
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|
'artifacts': [{
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'name':
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'model_out',
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'type': {
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'schemaTitle': 'system.Model',
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'schemaVersion': '0.0.1'
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},
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'uri':
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'foo/multiple-io-2023-11-09-12-04-18-616263/multiple-io/model_out',
|
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'metadata': {}
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}]
|
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}
|
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},
|
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'outputFile':
|
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'foo/multiple-io-2023-11-09-12-04-18-616263/multiple-io/executor_output.json'
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}
|
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}, executor_input)
|
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executor_output = pipeline_spec_pb2.ExecutorOutput()
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json_format.ParseDict(
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{
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'artifacts': {
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'dataset_out': {
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|
'artifacts': [{
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|
'name':
|
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'dataset_out',
|
|
'uri':
|
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'foo/multiple-io-2023-11-09-12-04-18-616263/multiple-io/dataset_out',
|
|
'metadata': {
|
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'foo': 'bar'
|
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}
|
|
}]
|
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},
|
|
'model_out': {
|
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'artifacts': [{
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'name':
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'model_out',
|
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'uri':
|
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'foo/multiple-io-2023-11-09-12-04-18-616263/multiple-io/model_out',
|
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'metadata': {
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'baz': 'bat'
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|
}
|
|
}]
|
|
}
|
|
}
|
|
}, executor_output)
|
|
|
|
expected = pipeline_spec_pb2.ExecutorOutput()
|
|
json_format.ParseDict(
|
|
{
|
|
'artifacts': {
|
|
'dataset_out': {
|
|
'artifacts': [{
|
|
'name':
|
|
'dataset_out',
|
|
'uri':
|
|
'foo/multiple-io-2023-11-09-12-04-18-616263/multiple-io/dataset_out',
|
|
'metadata': {
|
|
'foo': 'bar'
|
|
},
|
|
'type': {
|
|
'schemaTitle': 'system.Dataset',
|
|
'schemaVersion': '0.0.1'
|
|
},
|
|
}]
|
|
},
|
|
'model_out': {
|
|
'artifacts': [{
|
|
'name':
|
|
'model_out',
|
|
'uri':
|
|
'foo/multiple-io-2023-11-09-12-04-18-616263/multiple-io/model_out',
|
|
'metadata': {
|
|
'baz': 'bat'
|
|
},
|
|
'type': {
|
|
'schemaTitle': 'system.Model',
|
|
'schemaVersion': '0.0.1'
|
|
},
|
|
}]
|
|
}
|
|
}
|
|
}, expected)
|
|
|
|
actual = executor_output_utils.add_type_to_executor_output(
|
|
executor_input=executor_input,
|
|
executor_output=executor_output,
|
|
)
|
|
self.assertEqual(actual, expected)
|
|
|
|
|
|
class TestSpecialDslOutputPathRead(parameterized.TestCase):
|
|
|
|
@parameterized.parameters([
|
|
('foo', 'foo',
|
|
pipeline_spec_pb2.ParameterType.ParameterTypeEnum.STRING),
|
|
('foo', 'foo',
|
|
pipeline_spec_pb2.ParameterType.ParameterTypeEnum.STRING),
|
|
('true', True,
|
|
pipeline_spec_pb2.ParameterType.ParameterTypeEnum.BOOLEAN),
|
|
('True', True,
|
|
pipeline_spec_pb2.ParameterType.ParameterTypeEnum.BOOLEAN),
|
|
('false', False,
|
|
pipeline_spec_pb2.ParameterType.ParameterTypeEnum.BOOLEAN),
|
|
('False', False,
|
|
pipeline_spec_pb2.ParameterType.ParameterTypeEnum.BOOLEAN),
|
|
(json.dumps({'x': 'y'}), {
|
|
'x': 'y'
|
|
}, pipeline_spec_pb2.ParameterType.ParameterTypeEnum.STRUCT),
|
|
('3.14', 3.14,
|
|
pipeline_spec_pb2.ParameterType.ParameterTypeEnum.NUMBER_DOUBLE),
|
|
('100', 100,
|
|
pipeline_spec_pb2.ParameterType.ParameterTypeEnum.NUMBER_INTEGER),
|
|
])
|
|
def test(self, written, expected, dtype):
|
|
with tempfile.TemporaryDirectory() as tempdir:
|
|
output_file = os.path.join(tempdir, 'Output')
|
|
with open(output_file, 'w') as f:
|
|
f.write(written)
|
|
|
|
actual = executor_output_utils.special_dsl_outputpath_read(
|
|
parameter_name='name',
|
|
output_file=output_file,
|
|
dtype=dtype,
|
|
)
|
|
|
|
self.assertEqual(actual, expected)
|
|
|
|
def test_exception(self):
|
|
with tempfile.TemporaryDirectory() as tempdir:
|
|
output_file = os.path.join(tempdir, 'Output')
|
|
with open(output_file, 'w') as f:
|
|
f.write(str({'x': 'y'}))
|
|
with self.assertRaisesRegex(
|
|
ValueError,
|
|
r"Could not deserialize output 'name' from path"):
|
|
executor_output_utils.special_dsl_outputpath_read(
|
|
parameter_name='name',
|
|
output_file=output_file,
|
|
dtype=pipeline_spec_pb2.ParameterType.ParameterTypeEnum
|
|
.STRUCT,
|
|
)
|
|
|
|
|
|
def assert_artifacts_equal(
|
|
test_class: unittest.TestCase,
|
|
a1: dsl.Artifact,
|
|
a2: dsl.Artifact,
|
|
) -> None:
|
|
test_class.assertEqual(a1.name, a2.name)
|
|
test_class.assertEqual(a1.uri, a2.uri)
|
|
test_class.assertEqual(a1.metadata, a2.metadata)
|
|
test_class.assertEqual(a1.schema_title, a2.schema_title)
|
|
test_class.assertEqual(a1.schema_version, a2.schema_version)
|
|
test_class.assertIsInstance(a1, type(a2))
|
|
|
|
|
|
def assert_artifact_lists_equal(
|
|
test_class: unittest.TestCase,
|
|
l1: List[dsl.Artifact],
|
|
l2: List[dsl.Artifact],
|
|
) -> None:
|
|
test_class.assertEqual(len(l1), len(l2))
|
|
for a1, a2 in zip(l1, l2):
|
|
assert_artifacts_equal(test_class, a1, a2)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|