USEduData/Makefile at master · justinrgarrard/USEduData · GitHub

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## Credit to Cookie Cutter Data Science Template for this wonderful Makefile template

#################################################################################
# GLOBALS                                                                       #
#################################################################################

PROJECT_DIR := $(shell dirname $(realpath $(lastword $(MAKEFILE_LIST))))
#BUCKET = [OPTIONAL] your-bucket-for-syncing-data (do not include 's3://')
PROFILE = default
PROJECT_NAME = usedudata
PYTHON_INTERPRETER = python3

ifeq (,$(shell which conda))
HAS_CONDA=False
else
HAS_CONDA=True
endif

#################################################################################
# COMMANDS                                                                      #
#################################################################################

## Install Python Dependencies
requirements: test_environment
	$(PYTHON_INTERPRETER) -m pip install -U pip setuptools wheel
	$(PYTHON_INTERPRETER) -m pip install -r requirements.txt

## Make Dataset
data: requirements
	$(PYTHON_INTERPRETER) src/main.py data/raw data/processed data/interim

## Delete all compiled Python files
clean:
	find . -type f -name "*.py[co]" -delete
	find . -type d -name "__pycache__" -delete
	rm -f data/interim/*.csv
	rm -f data/processed/*.csv

## Lint using flake8
lint:
	flake8 src

## Set up python interpreter environment
create_environment:
ifeq (True,$(HAS_CONDA))
		@echo ">>> Detected conda, creating conda environment."
ifeq (3,$(findstring 3,$(PYTHON_INTERPRETER)))
	conda create --name $(PROJECT_NAME) python=3
else
	conda create --name $(PROJECT_NAME) python=2.7
endif
		@echo ">>> New conda env created. Activate with:\nsource activate $(PROJECT_NAME)"
else
	$(PYTHON_INTERPRETER) -m pip install -q virtualenv virtualenvwrapper
	@echo ">>> Installing virtualenvwrapper if not already installed.\nMake sure the following lines are in shell startup file\n\
	export WORKON_HOME=$$HOME/.virtualenvs\nexport PROJECT_HOME=$$HOME/Devel\nsource /usr/local/bin/virtualenvwrapper.sh\n"
	@bash -c "source `which virtualenvwrapper.sh`;mkvirtualenv $(PROJECT_NAME) --python=$(PYTHON_INTERPRETER)"
	@echo ">>> New virtualenv created. Activate with:\nworkon $(PROJECT_NAME)"
endif

## Test python environment is setup correctly
test_environment:
	$(PYTHON_INTERPRETER) test_environment.py

## Test Data Processing Rules
tests: requirements
	$(PYTHON_INTERPRETER) tests/tests.py