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compose.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
from kfp import components
def frequent_word(message: str) -> str:
"""get frequent word."""
from collections import Counter
words = Counter(message.split())
result = max(words, key=words.get)
print(result)
return result
frequent_word_op = components.create_component_from_func(
func=frequent_word, base_image='python:3.5-jessie')
save_message_op = components.load_component_from_text("""
name: 'Save Message'
description: |
save message to a given output_path
inputs:
- {name: message, type: String, description: 'Required. message'}
- {name: output_path, type: String, description: 'Required. output path'}
implementation:
container:
image: google/cloud-sdk
command:
- sh
- -c
- |
set -e
echo "$0"| gsutil cp - "$1"
- {inputValue: message}
- {inputValue: output_path}
""")
download_message_op = components.load_component_from_text("""
name: 'Download Message'
description: |
downloads a message and outputs it
inputs:
- {name: url, type: String, description: 'Required. the gcs url to download the message from'}
outputs:
- {name: content, type: String, description: 'file content.'}
implementation:
container:
image: google/cloud-sdk
command:
- sh
- -c
- |
set -e
gsutil cp "$0" "$1"
- {inputValue: url}
- {outputPath: content}
""")
@dsl.pipeline(
name='save-most-frequent',
description='Get Most Frequent Word and Save to GCS'
)
def save_most_frequent_word(
message: str = "hello world hello",
outputpath: str = "result.txt"):
"""A pipeline function describing the orchestration of the workflow."""
counter_task = frequent_word_op(message=message)
content_ref = counter_task.outputs['Output']
save_message_op(
message=content_ref,
output_path=outputpath
)
@dsl.pipeline(
name='download-and-save-most-frequent',
description='Download and Get Most Frequent Word and Save to GCS'
)
def download_save_most_frequent_word(
url: str= "gs://ml-pipeline-playground/shakespeare1.txt",
outputpath: str= "res.txt"):
downloader_task = download_message_op(url)
save_most_frequent_word(
message=downloader_task.output,
outputpath=outputpath)
if __name__ == '__main__':
from kfp_tekton.compiler import TektonCompiler
TektonCompiler().compile(download_save_most_frequent_word, __file__.replace('.py', '.yaml'))