119 lines
3.2 KiB
Python
119 lines
3.2 KiB
Python
# TODO: from KFP 1.3.0, need to implement for kfp_tekton.compiler
|
|
|
|
# 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.
|
|
|
|
"""Pipeline DSL code for testing URI-based artifact passing."""
|
|
|
|
from kfp import compiler
|
|
from kfp import components
|
|
from kfp import dsl
|
|
|
|
|
|
# Patch to make the test result deterministic.
|
|
class Coder:
|
|
def __init__(self, ):
|
|
self._code_id = 0
|
|
|
|
def get_code(self, ):
|
|
self._code_id += 1
|
|
return '{code:0{num_chars:}d}'.format(
|
|
code=self._code_id,
|
|
num_chars=dsl._for_loop.LoopArguments.NUM_CODE_CHARS)
|
|
|
|
|
|
dsl.ParallelFor._get_unique_id_code = Coder().get_code
|
|
|
|
|
|
write_to_gcs = components.load_component_from_text("""
|
|
name: Write to GCS
|
|
inputs:
|
|
- {name: text, type: String, description: 'Content to be written to GCS'}
|
|
outputs:
|
|
- {name: output_gcs_path, type: Artifact, description: 'GCS file path'}
|
|
implementation:
|
|
container:
|
|
image: google/cloud-sdk:slim
|
|
command:
|
|
- sh
|
|
- -c
|
|
- |
|
|
set -e -x
|
|
echo "$0" | gsutil cp - "$1"
|
|
- {inputValue: text}
|
|
- {outputUri: output_gcs_path}
|
|
""")
|
|
|
|
read_from_gcs = components.load_component_from_text("""
|
|
name: Read from GCS
|
|
inputs:
|
|
- {name: input_gcs_path, type: Artifact, description: 'GCS file path'}
|
|
implementation:
|
|
container:
|
|
image: google/cloud-sdk:slim
|
|
command:
|
|
- sh
|
|
- -c
|
|
- |
|
|
set -e -x
|
|
gsutil cat "$0"
|
|
- {inputUri: input_gcs_path}
|
|
""")
|
|
|
|
|
|
def flip_coin_op():
|
|
"""Flip a coin and output heads or tails randomly."""
|
|
return components.load_component_from_text("""
|
|
name: flip-coin
|
|
description: Flip coin
|
|
outputs:
|
|
- {name: output, type: String}
|
|
implementation:
|
|
container:
|
|
image: python:alpine3.6
|
|
command:
|
|
- sh
|
|
- -c
|
|
args:
|
|
- |
|
|
python -c "import random; result = 'heads' if random.randint(0,1) == 0 \
|
|
else 'tails'; print(result)" | $0
|
|
- {outputPath: output}
|
|
""")()
|
|
|
|
|
|
@dsl.pipeline(
|
|
name='uri-artifact-pipeline',
|
|
pipeline_root='gs://my-bucket/my-output-dir')
|
|
def uri_artifact(text: str = 'Hello world!'):
|
|
task_1 = write_to_gcs(text=text)
|
|
task_2 = read_from_gcs(
|
|
input_gcs_path=task_1.outputs['output_gcs_path'])
|
|
|
|
# Test use URI within ParFor loop.
|
|
loop_args = [1, 2, 3, 4]
|
|
with dsl.ParallelFor(loop_args) as loop_arg:
|
|
loop_task_2 = read_from_gcs(
|
|
input_gcs_path=task_1.outputs['output_gcs_path'])
|
|
|
|
# Test use URI within condition.
|
|
flip = flip_coin_op()
|
|
with dsl.Condition(flip.output == 'heads'):
|
|
condition_task_2 = read_from_gcs(
|
|
input_gcs_path=task_1.outputs['output_gcs_path'])
|
|
|
|
|
|
if __name__ == '__main__':
|
|
compiler.Compiler(mode=dsl.PipelineExecutionMode.V2_COMPATIBLE).compile(uri_artifact, __file__.replace('.py', '.yaml'))
|