Makefile

-include env.sh
export

help: ## Display this help screen
	@grep -h -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
    
pre-commit: ## Runs the pre-commit over entire repo
	@pipenv run pre-commit run --all-files

unit-tests: ## Runs unit tests for kfp_components
	@pipenv run python -m pytest tests/kfp_components

trigger-tests: ## Runs unit tests for the pipeline trigger code
	@pipenv run python -m pytest tests/trigger

compile: ## Compile the pipeline to training.json or prediction.json. Must specify pipeline=<training|prediction>
	@pipenv run python -m pipelines.${PIPELINE_TEMPLATE}.${pipeline}.pipeline

run: ## Compile pipeline, copy assets to GCS, and run pipeline in sandbox environment. Must specify pipeline=<training|prediction>
	@ $(MAKE) compile && \
	gsutil -m rsync -r -d ./pipelines/${PIPELINE_TEMPLATE}/$(pipeline)/assets ${PIPELINE_FILES_GCS_PATH}/$(pipeline)/assets && \
	pipenv run python -m pipelines.trigger.main --payload=./pipelines/${PIPELINE_TEMPLATE}/$(pipeline)/payloads/${PAYLOAD}

e2e-tests: ## Compile pipeline, trigger pipeline and perform end-to-end (E2E) pipeline tests. Must specify pipeline=<training|prediction>
	@ $(MAKE) compile && \
	pipenv run python -m pytest tests/${PIPELINE_TEMPLATE}/$(pipeline)