Makefile

#LOCAL_PATH = XXX

#PROJECT_ID = wedressfair-309108

#BUCKET_NAME = wedressfair-damienbusson

#BUCKET_FOLDER = data

#BUCKET_FILE_NAME=$(shell basename ${LOCAL_PATH})

#REGION=europe-west1

# ----------------------------------
#          INSTALL & TEST
# ----------------------------------
install_requirements:
	@pip install -r requirements.txt

check_code:
	@flake8 scripts/* WDF/*.py

black:
	@black scripts/* WDF/*.py

test:
	@coverage run -m pytest tests/*.py
	@coverage report -m --omit="${VIRTUAL_ENV}/lib/python*"

ftest:
	@Write me

clean:
	@rm -f */version.txt
	@rm -f .coverage
	@rm -fr */__pycache__ */*.pyc __pycache__
	@rm -fr build dist
	@rm -fr WDF-*.dist-info
	@rm -fr WDF.egg-info

install:
	@pip install . -U

all: clean install test black check_code


uninstal:
	@python setup.py install --record files.txt
	@cat files.txt | xargs rm -rf
	@rm -f files.txt

count_lines:
	@find ./ -name '*.py' -exec  wc -l {} \; | sort -n| awk \
        '{printf "%4s %s\n", $$1, $$2}{s+=$$0}END{print s}'
	@echo ''
	@find ./scripts -name '*-*' -exec  wc -l {} \; | sort -n| awk \
		        '{printf "%4s %s\n", $$1, $$2}{s+=$$0}END{print s}'
	@echo ''
	@find ./tests -name '*.py' -exec  wc -l {} \; | sort -n| awk \
        '{printf "%4s %s\n", $$1, $$2}{s+=$$0}END{print s}'
	@echo ''

# ----------------------------------
#      UPLOAD PACKAGE TO PYPI
# ----------------------------------
PYPI_USERNAME=<AUTHOR>
build:
	@python setup.py sdist bdist_wheel

pypi_test:
	@twine upload -r testpypi dist/* -u $(PYPI_USERNAME)

pypi:
	@twine upload dist/* -u $(PYPI_USERNAME)

# ----------------------------------
#         HEROKU & Streamlit COMMANDS
# ----------------------------------

streamlit:
	-@streamlit run WDF/app.py

heroku_login:
	-@heroku login

heroku_create_app:
	-@heroku create ${APP_NAME}

deploy_heroku:
	-@git push heroku master
	-@heroku ps:scale web=1

# Job
run_locally:
	@python -m ${PACKAGE_NAME}.${FILENAME}

gcp_submit_training:
	gcloud ai-platform jobs submit training ${JOB_NAME} \
	--job-dir gs://${BUCKET_NAME}/${BUCKET_TRAINING_FOLDER} \
	--package-path ${PACKAGE_NAME} \
	--module-name ${PACKAGE_NAME}.${FILENAME} \
	--python-version=${PYTHON_VERSION} \
	--runtime-version=${RUNTIME_VERSION} \
	--region ${REGION} \
	--stream-logs

##### Prediction API - - - - - - - - - - - - - - - - - - - - - - - - -

run_api:
	uvicorn api.fast:app --reload  # load web server with code autoreload