62 lines
2.6 KiB
Python
62 lines
2.6 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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from typing import Optional, Dict, List
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from kfp import compiler
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from kfp import dsl
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from kfp.dsl import component
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@component
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def component_op(
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input_str1: Optional[str] = 'string default value',
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input_str2: Optional[str] = None,
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input_str3: Optional[str] = None,
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input_str4_from_pipeline: Optional[str] = "Some component default",
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input_str5_from_pipeline: Optional[str] = "Some component default",
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input_str6_from_pipeline: Optional[str] = None,
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input_bool1: Optional[bool] = True,
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input_bool2: Optional[bool] = None,
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input_dict: Optional[Dict[str, int]] = {"a": 1},
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input_list: Optional[List[str]] = ["123"],
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input_int: Optional[int] = 100,
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):
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print(f'input_str1: {input_str1}, type: {type(input_str1)}')
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print(f'input_str2: {input_str2}, type: {type(input_str2)}')
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print(f'input_str3: {input_str3}, type: {type(input_str3)}')
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print(f'input_str4_from_pipeline: {input_str4_from_pipeline}, type: {type(input_str4_from_pipeline)}')
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print(f'input_str5_from_pipeline: {input_str5_from_pipeline}, type: {type(input_str5_from_pipeline)}')
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print(f'input_str6_from_pipeline: {input_str6_from_pipeline}, type: {type(input_str6_from_pipeline)}')
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print(f'input_bool1: {input_bool1}, type: {type(input_bool1)}')
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print(f'input_bool2: {input_bool2}, type: {type(input_bool2)}')
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print(f'input_bool: {input_dict}, type: {type(input_dict)}')
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print(f'input_bool: {input_list}, type: {type(input_list)}')
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print(f'input_bool: {input_int}, type: {type(input_int)}')
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@dsl.pipeline(name='v2-component-optional-input')
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def pipeline(input_str4: Optional[str] = None, input_str5: Optional[str] = "Some pipeline default", input_str6: Optional[str] = None):
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component_op(
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input_str1='Hello',
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input_str2='World',
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input_str4_from_pipeline=input_str4,
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input_str5_from_pipeline=input_str5,
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input_str6_from_pipeline=input_str6,
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)
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if __name__ == '__main__':
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compiler.Compiler().compile(
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pipeline_func=pipeline, package_path=__file__.replace('.py', '.yaml'))
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