affinity.py

# 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 kubernetes.client import V1Affinity, V1NodeSelector, V1NodeSelectorRequirement, V1NodeSelectorTerm, V1NodeAffinity, V1SecurityContext
from kfp import dsl, components

ECHO_OP_STR = """
name: echo
description: echo component
implementation:
  container:
    image: busybox
    command:
    - sh
    - -c
    args:
    - echo "Got scheduled"
"""

echo_op = components.load_component_from_text(ECHO_OP_STR)


@dsl.pipeline(
    name='affinity',
    description='A pipeline with affinity'
)
def affinity_pipeline(
):
    """A pipeline with affinity"""
    affinity = V1Affinity(
        node_affinity=V1NodeAffinity(
            required_during_scheduling_ignored_during_execution=V1NodeSelector(
                node_selector_terms=[V1NodeSelectorTerm(
                    match_expressions=[V1NodeSelectorRequirement(
                        key='kubernetes.io/os',
                        operator='In',
                        values=['linux'])])])))
    security_context = V1SecurityContext(run_as_user=0)
    echo_op().add_affinity(affinity).set_security_context(security_context)


if __name__ == '__main__':
    from kfp_tekton.compiler import TektonCompiler
    TektonCompiler().compile(affinity_pipeline, __file__.replace('.py', '.yaml'))