KFP Pipeline code w/ TTL Configuration resulting IR yaml

main.yaml

# PIPELINE DEFINITION
# Name: hello-world
# Description: A simple intro pipeline
# Inputs:
#    text: str [Default: 'hi there']
components:
  comp-hello-world:
    executorLabel: exec-hello-world
    inputDefinitions:
      parameters:
        text:
          parameterType: STRING
    outputDefinitions:
      parameters:
        Output:
          parameterType: STRING
deploymentSpec:
  executors:
    exec-hello-world:
      container:
        args:
        - --executor_input
        - '{{$}}'
        - --function_to_execute
        - hello_world
        command:
        - sh
        - -c
        - "\nif ! [ -x \"$(command -v pip)\" ]; then\n    python3 -m ensurepip ||\
          \ python3 -m ensurepip --user || apt-get install python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1\
          \ python3 -m pip install --quiet --no-warn-script-location 'kfp==dev' '--no-deps'\
          \ 'typing-extensions>=3.7.4,<5; python_version<\"3.9\"' && \"$0\" \"$@\"\
          \n"
        - sh
        - -ec
        - 'program_path=$(mktemp -d)


          printf "%s" "$0" > "$program_path/ephemeral_component.py"

          _KFP_RUNTIME=true python3 -m kfp.dsl.executor_main                         --component_module_path                         "$program_path/ephemeral_component.py"                         "$@"

          '
        - "\nimport kfp\nfrom kfp import dsl\nfrom kfp.dsl import *\nfrom typing import\
          \ *\n\ndef hello_world(text: str) -> str:\n    print(text)\n    return text\n\
          \n"
        image: python:3.9
pipelineInfo:
  description: A simple intro pipeline
  name: hello-world
root:
  dag:
    tasks:
      hello-world:
        cachingOptions:
          enableCache: true
        componentRef:
          name: comp-hello-world
        inputs:
          parameters:
            text:
              componentInputParameter: text
        taskInfo:
          name: hello-world
  inputDefinitions:
    parameters:
      text:
        defaultValue: hi there
        isOptional: true
        parameterType: STRING
schemaVersion: 2.1.0
sdkVersion: kfp-dev
---
platforms:
  kubernetes:
    pipelineConfig:
      pipelineTtl: 10