# PIPELINE DEFINITION
# Name: hello-world-pipeline
# Description: A simple hello world pipeline to test Kubeflow setup
# Inputs:
#    name: str [Default: 'Kubeflow User']
components:
  comp-process-greeting:
    executorLabel: exec-process-greeting
    inputDefinitions:
      parameters:
        greeting:
          parameterType: STRING
    outputDefinitions:
      parameters:
        Output:
          parameterType: STRING
  comp-say-hello:
    executorLabel: exec-say-hello
    inputDefinitions:
      parameters:
        name:
          parameterType: STRING
    outputDefinitions:
      parameters:
        Output:
          parameterType: STRING
deploymentSpec:
  executors:
    exec-process-greeting:
      container:
        args:
        - --executor_input
        - '{{$}}'
        - --function_to_execute
        - process_greeting
        command:
        - sh
        - -c
        - "\nif ! [ -x \"$(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==2.15.2'\
          \ '--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 process_greeting(greeting: str) -> str:\n    \"\"\"Process the\
          \ greeting message.\"\"\"\n    processed = greeting.upper()\n    print(f\"\
          Processed: {processed}\")\n    return processed\n\n"
        image: python:3.11-slim
    exec-say-hello:
      container:
        args:
        - --executor_input
        - '{{$}}'
        - --function_to_execute
        - say_hello
        command:
        - sh
        - -c
        - "\nif ! [ -x \"$(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==2.15.2'\
          \ '--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 say_hello(name: str) -> str:\n    \"\"\"Simple component that\
          \ returns a greeting.\"\"\"\n    message = f\"Hello, {name}! Welcome to\
          \ Kubeflow Pipelines.\"\n    print(message)\n    return message\n\n"
        image: python:3.11-slim
pipelineInfo:
  description: A simple hello world pipeline to test Kubeflow setup
  name: hello-world-pipeline
root:
  dag:
    tasks:
      process-greeting:
        cachingOptions:
          enableCache: true
        componentRef:
          name: comp-process-greeting
        dependentTasks:
        - say-hello
        inputs:
          parameters:
            greeting:
              taskOutputParameter:
                outputParameterKey: Output
                producerTask: say-hello
        taskInfo:
          name: process-greeting
      say-hello:
        cachingOptions:
          enableCache: true
        componentRef:
          name: comp-say-hello
        inputs:
          parameters:
            name:
              componentInputParameter: name
        taskInfo:
          name: say-hello
  inputDefinitions:
    parameters:
      name:
        defaultValue: Kubeflow User
        isOptional: true
        parameterType: STRING
schemaVersion: 2.1.0
sdkVersion: kfp-2.15.2