#!/usr/bin/env python3
# Copyright 2019 Google LLC
#
# 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 kfp
from kfp import dsl

def print_op(msg):
  """Print a message."""
  return dsl.ContainerOp(
      name='Print',
      image='alpine:3.6',
      command=['echo', msg],
  )

def add_annotation(op):
  op.add_pod_annotation(name='hobby', value='football')
  return op

@dsl.pipeline(
    name='Retry random failures',
    description='The pipeline includes two steps which fail randomly. It shows how to use ContainerOp(...).set_retry(...).'
)
def retry_sample_pipeline():
  op1 = print_op('hey, what are you up to?')
  op2 = print_op('train my model.')
  dsl.get_pipeline_conf().add_op_transformer(add_annotation)

if __name__ == '__main__':
  kfp.compiler.Compiler().compile(retry_sample_pipeline, __file__ + '.zip')

@@ -897,29 +897,28 @@
 me='
-Retry random failures
+Pipeline transformer
 ',%0A 
@@ -950,120 +950,105 @@
 ine 
-includes two steps which fail randomly. It shows how to use ContainerOp(...).set_retry(...).'%0A)%0Adef retry_sample
+shows how to apply functions to all ops in the pipeline by pipeline transformers'%0A)%0Adef transform
 _pip
@@ -1264,20 +1264,17 @@
 ile(
-retry_sample
+transform
 _pip

Fix transformer sample message (#2592)