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Updated generate (simple pipeline) pipeline #311

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merged 8 commits into from
Jun 24, 2024

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D-Sai-Venkatesh
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Why are these changes needed?

Updated simple pipeline generator to match current simple pipeline spec (which now supports KFP v2). Running instructions are same as the running instructions for previous pipeline generator.

Related issue number (if any).

@@ -8,4 +8,6 @@ mkdir -p ${ROOT_DIR}/${DIST_DIR}/
python3 -m venv venv
source venv/bin/activate
pip install pre-commit
python3 pipeline_generator.py -c ${DEF_FILE} -od ${ROOT_DIR}/${DIST_DIR}/
pip install jinja2
# python3 pipeline_generator.py -c ${DEF_FILE} -od ${ROOT_DIR}/${DIST_DIR}/
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@roytman roytman Jun 21, 2024

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please remove this line

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  • Can you please add a Make file that will update the base_kfp_image in pipeline_definitions.yaml
  • image_pull_secret is defined in pipeline_definitions.yaml but is not propagated to the pipeline
  • can you extend the run.sh to add the argument names?


# define arguments to the Ray execution job
execute_job_params = get_execute_job_params_guf(pipeline_definitions[PIPELINE_TRANSFORM_INPUT_PARAMETERS])
pipeline_transform_input_parameters = pipeline_definitions[PIPELINE_TRANSFORM_INPUT_PARAMETERS]

component_spec_path = pipeline_parameters.get("component_spec_path", "")
if component_spec_path == "":
component_spec_path = "../../../../../kfp/kfp_ray_components/"
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it can be wrong, usually in the DataPrep-Kit project, the Ray components are in "../../../../kfp/kfp_ray_components/".

ComponentUtils.set_s3_env_vars_to_component(execute_job, data_s3_access_secret)
execute_job.after(ray_cluster)
# Configure the pipeline level to one week (in seconds)
# dsl.get_pipeline_conf().set_timeout(ONE_WEEK_SEC)
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please remove these two commented out lines

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LGTM, thanks for the PR

@roytman roytman merged commit 9bd6ff3 into IBM:dev Jun 24, 2024
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@roytman roytman mentioned this pull request Jun 24, 2024
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2 participants