Makefile

.PHONY: clean data lint requirements sync_data_to_s3 sync_data_from_s3

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# GLOBALS                                                                       #
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PROJECT_DIR := $(shell dirname $(realpath $(lastword $(MAKEFILE_LIST))))
BUCKET = [OPTIONAL] your-bucket-for-syncing-data (do not include 's3://')
PROFILE = default
PROJECT_NAME = walmart-forecasting
ENV_NAME = walmart
RAW_DATA_URL = "https://raw.githubusercontent.com/benlindsay/baby-name-map-preprocess/master/data/Aaron.csv"
RAW_DATA_FILE = data/raw/data.csv
CONDA = $(CONDA_ROOT)/bin/conda
ACTIVATE = $(CONDA_ROOT)/bin/activate
PYTHON = $(CONDA_ROOT)/envs/$(ENV_NAME)/bin/python

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# COMMANDS                                                                      #
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## Install New Python Dependencies
update_requirements: test_environment
	$(CONDA) env update -f environment.yml
	. $(ACTIVATE) $(ENV_NAME) && $(CONDA) env export > environment-lock.yml
	touch .env

jupyterlab_extensions: test_environment
	jupyter labextension install jupyterlab_vim
	jupyter labextension install @ryantam626/jupyterlab_code_formatter
	pip install jupyterlab_code_formatter
	jupyter serverextension enable --py jupyterlab_code_formatter

## Make Dataset
data:
	git clone https://$(GITHUB_TOKEN)@github.com/benlindsay/walmart-data
	mkdir -p data/raw
	mv walmart-data/* data/raw/
	rm -rf walmart-data

## Delete all compiled Python files
clean:
	find . -type f -name "*.py[co]" -delete
	find . -type d -name "__pycache__" -delete

## Lint using flake8
lint:
	flake8 src

## Upload Data to S3
sync_data_to_s3:
ifeq (default,$(PROFILE))
	aws s3 sync data/ s3://$(BUCKET)/data/
else
	aws s3 sync data/ s3://$(BUCKET)/data/ --profile $(PROFILE)
endif

## Download Data from S3
sync_data_from_s3:
ifeq (default,$(PROFILE))
	aws s3 sync s3://$(BUCKET)/data/ data/
else
	aws s3 sync s3://$(BUCKET)/data/ data/ --profile $(PROFILE)
endif

## Set up python interpreter environment
create_environment:
	$(CONDA) env create -f environment.yml
	. $(ACTIVATE) $(ENV_NAME) \
	  && $(CONDA) env export > environment-lock.yml \
	  && $(PYTHON) -m ipykernel install --user --name walmart
	touch .env

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

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# PROJECT RULES                                                                 #
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# Self Documenting Commands                                                     #
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.DEFAULT_GOAL := help

# Inspired by <http://marmelab.com/blog/2016/02/29/auto-documented-makefile.html>
# sed script explained:
# /^##/:
# 	* save line in hold space
# 	* purge line
# 	* Loop:
# 		* append newline + line to hold space
# 		* go to next line
# 		* if line starts with doc comment, strip comment character off and loop
# 	* remove target prerequisites
# 	* append hold space (+ newline) to line
# 	* replace newline plus comments by `---`
# 	* print line
# Separate expressions are necessary because labels cannot be delimited by
# semicolon; see <http://stackoverflow.com/a/11799865/1968>
.PHONY: help
help:
	@echo "$$(tput bold)Available rules:$$(tput sgr0)"
	@echo
	@sed -n -e "/^## / { \
		h; \
		s/.*//; \
		:doc" \
		-e "H; \
		n; \
		s/^## //; \
		t doc" \
		-e "s/:.*//; \
		G; \
		s/\\n## /---/; \
		s/\\n/ /g; \
		p; \
	}" ${MAKEFILE_LIST} \
	| LC_ALL='C' sort --ignore-case \
	| awk -F '---' \
		-v ncol=$$(tput cols) \
		-v indent=19 \
		-v col_on="$$(tput setaf 6)" \
		-v col_off="$$(tput sgr0)" \
	'{ \
		printf "%s%*s%s ", col_on, -indent, $$1, col_off; \
		n = split($$2, words, " "); \
		line_length = ncol - indent; \
		for (i = 1; i <= n; i++) { \
			line_length -= length(words[i]) + 1; \
			if (line_length <= 0) { \
				line_length = ncol - indent - length(words[i]) - 1; \
				printf "\n%*s ", -indent, " "; \
			} \
			printf "%s ", words[i]; \
		} \
		printf "\n"; \
	}' \
	| more $(shell test $(shell uname) = Darwin && echo '--no-init --raw-control-chars')