79 lines
2.1 KiB
Python
79 lines
2.1 KiB
Python
# Copyright 2020 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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import kfp.dsl as dsl
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from kubernetes.client import V1Volume, V1SecretVolumeSource, V1VolumeMount, V1EnvVar
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from kfp import components
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OP1_STR = """
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name: download
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outputs:
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- {name: downloaded, type: String}
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implementation:
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container:
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image: google/cloud-sdk
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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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set -e
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ls | tee $0
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- {outputPath: downloaded}
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"""
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OP2_STR = """
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name: echo
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inputs:
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- {name: msg, type: String}
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implementation:
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container:
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image: library/bash
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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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set -e
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echo
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- {inputValue: msg}
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"""
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op1_op = components.load_component_from_text(OP1_STR)
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op2_op = components.load_component_from_text(OP2_STR)
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@dsl.pipeline(
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name='volume',
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description='A pipeline with volume.'
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)
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def volume_pipeline():
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op1 = op1_op()
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op1.add_volume(V1Volume(name='gcp-credentials',
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secret=V1SecretVolumeSource(secret_name='user-gcp-sa')))
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op1.container.add_volume_mount(V1VolumeMount(mount_path='/secret/gcp-credentials',
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name='gcp-credentials'))
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op1.container.add_env_variable(V1EnvVar(name='GOOGLE_APPLICATION_CREDENTIALS',
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value='/secret/gcp-credentials/user-gcp-sa.json'))
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op1.container.add_env_variable(V1EnvVar(name='Foo', value='bar'))
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op2 = op2_op(op1.output)
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if __name__ == '__main__':
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from kfp_tekton.compiler import TektonCompiler
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TektonCompiler().compile(volume_pipeline, __file__.replace('.py', '.yaml'))
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