Makefile

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

check_code:
	@flake8 scripts/* translating-the-law/*.py

black:
	@black scripts/* translating-the-law/*.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 translating-the-law-*.dist-info
	@rm -fr translating-the-law.egg-info

install:
	@pip install . -U

all: clean install test black check_code

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)

clean_up_pdf:
	@find . -name "*.pdf" -type f -delete

# ----------------------------------
#         HEROKU COMMANDS
# ----------------------------------

streamlit:
	-@streamlit run translating_the_law/streamlit/app.py

heroku_login:
	-@heroku login

heroku_create_app:
	-@heroku create ${APP_NAME}

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

# Download

download_data:
	@python3 translating_the_law/downloading/download_dataset.py

# project id - replace with your GCP project id
PROJECT_ID=translating-the-law

# bucket name - replace with your GCP bucket name
BUCKET_NAME=law-data-ogiles

# choose your region from https://cloud.google.com/storage/docs/locations#available_locations
REGION=europe-west2

set_project:
	@gcloud config set project ${PROJECT_ID}

create_bucket:
	@gsutil mb -l ${REGION} -p ${PROJECT_ID} gs://${BUCKET_NAME}


# path to the file to upload to GCP (the path to the file should be absolute or should match the directory where the make command is ran)
# replace with your local path to the `train_1k.csv` and make sure to put the path between quotes
LOCAL_PATH="/home/oliver/code/ogiles1999/translating-the-law/raw_data/simplified_data.json"

# bucket directory in which to store the uploaded file (`data` is an arbitrary name that we choose to use)
BUCKET_FOLDER=data

# name for the uploaded file inside of the bucket (we choose not to rename the file that we upload)
BUCKET_FILE_NAME=$(shell basename ${LOCAL_PATH})

#@gsutil cp train_1k.csv gs://wagon-data-805-giles/data/train_1k.csv

upload_data:
	@gsutil cp ${LOCAL_PATH} gs://${BUCKET_NAME}/${BUCKET_FOLDER}/${BUCKET_FILE_NAME}