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https://github.com/ghndrx/kubeflow-pipelines.git
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Add GHA workflow for pipeline compilation
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128
hello_world.yaml
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128
hello_world.yaml
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# PIPELINE DEFINITION
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# Name: hello-world-pipeline
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# Description: A simple hello world pipeline to test Kubeflow setup
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# Inputs:
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# name: str [Default: 'Kubeflow User']
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components:
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comp-process-greeting:
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executorLabel: exec-process-greeting
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inputDefinitions:
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parameters:
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greeting:
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parameterType: STRING
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outputDefinitions:
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parameters:
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Output:
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parameterType: STRING
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comp-say-hello:
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executorLabel: exec-say-hello
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inputDefinitions:
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parameters:
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name:
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parameterType: STRING
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outputDefinitions:
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parameters:
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Output:
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parameterType: STRING
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deploymentSpec:
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executors:
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exec-process-greeting:
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container:
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args:
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- --executor_input
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- '{{$}}'
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- --function_to_execute
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- process_greeting
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command:
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- sh
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- -c
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- "\nif ! [ -x \"$(command -v pip)\" ]; then\n python3 -m ensurepip ||\
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\ python3 -m ensurepip --user || apt-get install python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1\
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\ python3 -m pip install --quiet --no-warn-script-location 'kfp==2.15.2'\
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\ '--no-deps' 'typing-extensions>=3.7.4,<5; python_version<\"3.9\"' && \"\
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$0\" \"$@\"\n"
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- sh
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- -ec
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- 'program_path=$(mktemp -d)
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printf "%s" "$0" > "$program_path/ephemeral_component.py"
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_KFP_RUNTIME=true python3 -m kfp.dsl.executor_main --component_module_path "$program_path/ephemeral_component.py" "$@"
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'
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- "\nimport kfp\nfrom kfp import dsl\nfrom kfp.dsl import *\nfrom typing import\
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\ *\n\ndef process_greeting(greeting: str) -> str:\n \"\"\"Process the\
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\ greeting message.\"\"\"\n processed = greeting.upper()\n print(f\"\
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Processed: {processed}\")\n return processed\n\n"
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image: python:3.11-slim
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exec-say-hello:
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container:
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args:
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- --executor_input
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- '{{$}}'
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- --function_to_execute
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- say_hello
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command:
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- sh
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- -c
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- "\nif ! [ -x \"$(command -v pip)\" ]; then\n python3 -m ensurepip ||\
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\ python3 -m ensurepip --user || apt-get install python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1\
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\ python3 -m pip install --quiet --no-warn-script-location 'kfp==2.15.2'\
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\ '--no-deps' 'typing-extensions>=3.7.4,<5; python_version<\"3.9\"' && \"\
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$0\" \"$@\"\n"
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- sh
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- -ec
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- 'program_path=$(mktemp -d)
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printf "%s" "$0" > "$program_path/ephemeral_component.py"
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_KFP_RUNTIME=true python3 -m kfp.dsl.executor_main --component_module_path "$program_path/ephemeral_component.py" "$@"
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'
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- "\nimport kfp\nfrom kfp import dsl\nfrom kfp.dsl import *\nfrom typing import\
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\ *\n\ndef say_hello(name: str) -> str:\n \"\"\"Simple component that\
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\ returns a greeting.\"\"\"\n message = f\"Hello, {name}! Welcome to\
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\ Kubeflow Pipelines.\"\n print(message)\n return message\n\n"
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image: python:3.11-slim
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pipelineInfo:
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description: A simple hello world pipeline to test Kubeflow setup
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name: hello-world-pipeline
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root:
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dag:
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tasks:
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process-greeting:
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cachingOptions:
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enableCache: true
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componentRef:
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name: comp-process-greeting
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dependentTasks:
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- say-hello
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inputs:
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parameters:
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greeting:
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taskOutputParameter:
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outputParameterKey: Output
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producerTask: say-hello
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taskInfo:
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name: process-greeting
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say-hello:
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cachingOptions:
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enableCache: true
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componentRef:
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name: comp-say-hello
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inputs:
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parameters:
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name:
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componentInputParameter: name
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taskInfo:
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name: say-hello
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inputDefinitions:
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parameters:
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name:
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defaultValue: Kubeflow User
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isOptional: true
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parameterType: STRING
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schemaVersion: 2.1.0
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sdkVersion: kfp-2.15.2
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