import os

PROJ_ROOT = os.path.dirname(os.path.realpath(__file__))
PROJ_ROOT = os.path.join(PROJ_ROOT, '../..')

RAW_DATA_FILE = os.path.join(PROJ_ROOT,'data', 'raw', 'train.csv')
RAW_DATA_URL='https://www.kaggle.com/c/bioresponse/download/train.csv'
RAW_DATA_PICKLE=os.path.join(PROJ_ROOT, 'data', 'raw', 'raw.pickle')


RAW_TEST_FILE = os.path.join(PROJ_ROOT,'data', 'raw', 'test.csv')
RAW_TEST_PICKLE=os.path.join(PROJ_ROOT, 'data', 'raw', 'test.pickle')

PROCESSED_DATA_FILE=os.path.join(PROJ_ROOT, 'data', 'processed', 'processed.pickle')
PROCESSED_TEST_FILE=os.path.join(PROJ_ROOT, 'data', 'processed', 'processed_test.pickle')

RESULT_COLUMN_NAME='Activity'

RAW_VISUALIZATION_OUTPUT_FILE=os.path.join(PROJ_ROOT, 'reports', 'figures', 'raw_target_corr_plot.png')
PROCESSED_VISUALIZATION_OUTPUT_FILE=os.path.join(PROJ_ROOT, 'reports', 'figures', 'processed_target_corr_plot.png')

ROC_CURVES_PATH=os.path.join(PROJ_ROOT, 'reports', 'figures','evaluation', 'roc_curves.png')
BENCHMARK_ROC_PATH=os.path.join(PROJ_ROOT, 'reports', 'figures','evaluation', 'benchmark_roc_curve.png')

TEST_RESULT_CSV_DIR=os.path.join(PROJ_ROOT, 'data', 'external')