63 lines
2.0 KiB
Python
Executable File
63 lines
2.0 KiB
Python
Executable File
# Copyright 2022 kubeflow.org
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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 kfp import dsl, components
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from kfp_tekton.compiler import TektonCompiler as Compiler
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from kfp_tekton.tekton import CEL_ConditionOp
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def gcs_download_op(url):
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return components.load_component_from_text("""
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name: %s
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description: download
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inputs:
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- {name: url, type: String}
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outputs:
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- {name: %s, type: String}
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implementation:
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container:
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image: google/cloud-sdk:279.0.0
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command:
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- sh
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- -c
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args:
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- |
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gsutil cat $0 | tee $1
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- {inputValue: url}
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- {outputPath: %s}
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""" % ('GCS - Download' * 4, 'Data-_123' * 100, 'Data-_123' * 100))(url=url)
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@dsl.pipeline(name="some-very-long-name-with-lots-of-words-in-it-" +
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"it-should-be-over-63-chars-long-in-order-to-observe-the-problem")
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def main_fn(url1: str = 'gs://ml-pipeline-playground/shakespeare1.txt'):
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download1_task = gcs_download_op(url1)
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printop = components.load_component_from_text("""
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name: %s
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description: print
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inputs:
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- {name: text, type: String}
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implementation:
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container:
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image: alpine:3.6
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command:
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- echo
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- {inputValue: text}
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""" % ('print' * 10))(download1_task.outputs['Data-_123' * 100])
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cel_condition = CEL_ConditionOp("'%s' == 'heads'" % download1_task.outputs['Data-_123' * 100])
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if __name__ == '__main__':
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Compiler().compile(main_fn, __file__.replace('.py', '.yaml'))
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