# 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)

[(24, 'kfp.components.structures.InputSpec', 'InputSpec', ([], {'name': '"""input1"""', 'description': '"""input1 desc"""', 'type': "{'GCSPath': {'bucket_type': 'directory', 'file_type': 'csv'}}", 'default': '"""default1"""'}), False, 'from kfp.components.structures import ComponentSpec, InputSpec, OutputSpec\n'), (32, 'kfp.components.structures.InputSpec', 'InputSpec', ([], {'name': '"""input2"""', 'description': '"""input2 desc"""', 'type': "{'TFModel': {'input_data': 'tensor', 'version': '1.8.0'}}", 'default': '"""default2"""'}), False, 'from kfp.components.structures import ComponentSpec, InputSpec, OutputSpec\n'), (40, 'kfp.components.structures.InputSpec', 'InputSpec', ([], {'name': '"""input3"""', 'description': '"""input3 desc"""', 'type': '"""Integer"""', 'default': '"""default3"""'}), False, 'from kfp.components.structures import ComponentSpec, InputSpec, OutputSpec\n'), (46, 'kfp.components.structures.OutputSpec', 'OutputSpec', ([], {'name': '"""output1"""', 'description': '"""output1 desc"""', 'type': "{'Schema': {'file_type': 'tsv'}}"}), False, 'from kfp.components.structures import ComponentSpec, InputSpec, OutputSpec\n')]