SongAnalytics/Makefile at master · yfeng46/SongAnalytics · GitHub

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.PHONY: venv download read_data model evaluate database test clean-tests clean-pyc clean-env clean

# Below are some other make functions that do useful things

# Create a virtual environment named pennylane-env
venv/bin/activate: requirements.txt
	test -d venv || virtualenv venv
	venv/bin/pip install -r requirements.txt
	touch venv/bin/activate
venv: venv/bin/activate

# Get data from request
data/lyrics.csv data/spotify_track_data.csv data/wiki_hot_100s.csv: src/download.py
	python run.py download_data --config=config/config.yml
download: data/lyrics.csv data/spotify_track_data.csv data/wiki_hot_100s.csv

#clean the data
data/lyrics_track_train.csv data/lyrics_track_test.csv: src/read_data.py
	python run.py read_data --config=config/config.yml
read_data: data/lyrics_track_train.csv data/lyrics_track_test.csv

# Fit model
models/model.sav: src/model.py
	python run.py model --config=config/config.yml
model: models/model.sav

# Evaluate Model
models/evaluation.txt: src/evaluate.py
	python run.py evaluate --config=config/config.yml
evaluate: models/evaluation.txt

#build the database
song_analytics.db: src/tables.py
	python run.py database --flag=false
database: song_analytics.db

#unitest
test: venv
	source test-env/bin/activate; pytest


# Clean up things
clean-tests:
	rm -rf .pytest_cache

clean-env:
	rm -r venv-env

clean-pyc:
	find . -name '*.pyc' -exec rm -f {} +
	rm -rf .pytest_cache

clean: clean-tests clean-env clean-pyc

all: venv download read_data model evaluate database test clean-tests clean-pyc clean-env clean