kfp-tekton/sdk/python/tests/compiler/testdata/custom_task_ref.py

61 lines
1.7 KiB
Python

# Copyright 2021 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
MY_CUSTOM_TASK_IMAGE_NAME = "veryunique/image:latest"
from kfp_tekton.tekton import TEKTON_CUSTOM_TASK_IMAGES
TEKTON_CUSTOM_TASK_IMAGES = TEKTON_CUSTOM_TASK_IMAGES.append(MY_CUSTOM_TASK_IMAGE_NAME)
CUSTOM_STR = """
name: any-name
description: custom task
implementation:
container:
image: veryunique/image:latest
command:
- any
- command
args:
- --apiVersion
- custom_task_api_version
- --kind
- custom_task_kind
- --name
- custom_task_name
- --taskRef
- |
{"raw": "raw"}
- --other_custom_task_argument_keys
- args
"""
custom_op = components.load_component_from_text(CUSTOM_STR)
@dsl.pipeline(
name='tekton-custom-task-on-kubeflow-pipeline',
description='Shows how to use Tekton custom task with custom spec on KFP'
)
def custom_task_pipeline():
test = custom_op()
test.add_pod_annotation("valid_container", "false")
test2 = custom_op().after(test)
test2.add_pod_annotation("valid_container", "false")
if __name__ == '__main__':
from kfp_tekton.compiler import TektonCompiler
TektonCompiler().compile(custom_task_pipeline, __file__.replace('.py', '.yaml'))