pipelines/sdk/python/kfp/compiler/test_data/two_step_pipeline.py

70 lines
2.0 KiB
Python

# Copyright 2020 The Kubeflow Authors
#
# 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.
import pathlib
from kfp import components
from kfp import dsl
from kfp import compiler
component_op_1 = 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: GCSPath, 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}
""")
component_op_2 = components.load_component_from_text("""
name: Read from GCS
inputs:
- {name: input_gcs_path, type: GCSPath, description: 'GCS file path'}
implementation:
container:
image: google/cloud-sdk:slim
command:
- sh
- -c
- |
set -e -x
gsutil cat "$0"
- {inputUri: input_gcs_path}
""")
@dsl.pipeline(name='simple-two-step-pipeline', pipeline_root='dummy_root')
def my_pipeline(text: str = 'Hello world!'):
component_1 = component_op_1(text=text).set_display_name('Producer')
component_2 = component_op_2(
input_gcs_path=component_1.outputs['output_gcs_path'])
component_2.set_display_name('Consumer')
if __name__ == '__main__':
compiler.Compiler().compile(
pipeline_func=my_pipeline,
pipeline_parameters={'text': 'Hello KFP!'},
package_path=__file__.replace('.py', '.yaml'))