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parallel_join.py
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parallel_join.py
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# Copyright 2020 kubeflow.org
#
# 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 import dsl, components
def gcs_download_op(url: str):
return components.load_component_from_text("""
name: gcs-download
description: GCS - Download
inputs:
- {name: url, type: String}
outputs:
- {name: data, type: String}
implementation:
container:
image: google/cloud-sdk:279.0.0
command:
- sh
- -c
args:
- |
gsutil cat $0 | tee $1
- {inputValue: url}
- {outputPath: data}
""")(url=url)
def echo2_op(text1: str, text2: str):
return components.load_component_from_text("""
name: echo
description: echo
inputs:
- {name: input1, type: String}
- {name: input2, type: String}
implementation:
container:
image: library/bash:4.4.23
command:
- sh
- -c
args:
- |
echo "Text 1: $0"; echo "Text 2: $1"
- {inputValue: input1}
- {inputValue: input2}
""")(input1=text1, input2=text2)
@dsl.pipeline(
name='parallel-pipeline',
description='Download two messages in parallel and prints the concatenated result.'
)
def download_and_join(
url1: str = 'gs://ml-pipeline-playground/shakespeare1.txt',
url2: str = 'gs://ml-pipeline-playground/shakespeare2.txt'
):
"""A three-step pipeline with the first two steps running in parallel."""
download1_task = gcs_download_op(url1)
download2_task = gcs_download_op(url2)
echo_task = echo2_op(download1_task.output, download2_task.output)
if __name__ == '__main__':
from kfp_tekton.compiler import TektonCompiler
TektonCompiler().compile(download_and_join, __file__.replace('.py', '.yaml'))