import os

REPO_PATH = '/'.join(os.path.abspath(__file__).split('/')[:-3]) + '/'

# QUADRUPLETS_PATH = REPO_PATH + 'checkpoints/cocktail_representation/quadruplets.pickle'
INGREDIENTS_LIST_PATH = REPO_PATH + 'checkpoints/cocktail_representation/ingredient_list.csv'
# ING_MATCH_SCORE_Q_PATH = REPO_PATH + 'checkpoints/cocktail_representation/ingredient_match_score_q.txt'
# ING_MATCH_SCORE_COUNT_PATH = REPO_PATH + 'checkpoints/cocktail_representation/ingredient_match_score_count.txt'
# COCKTAIL_DATA_FOLDER_PATH = REPO_PATH + 'checkpoints/cocktail_representation/'
COCKTAILS_CSV_DATA = REPO_PATH + 'checkpoints/cocktail_representation/cocktails_data.csv'
# COCKTAILS_PKL_DATA = REPO_PATH + 'checkpoints/cocktail_representation/cocktails_data.pkl'
# COCKTAILS_URL_DATA = REPO_PATH + 'checkpoints/cocktail_representation/cocktails_names_urls.pkl'
EXPERIMENT_PATH = REPO_PATH + 'experiments/cocktails/representation_learning/'
# ANALYSIS_PATH = REPO_PATH + 'experiments/cocktails/representation_analysis/'
# REPRESENTATIONS_PATH = REPO_PATH + 'experiments/cocktails/learned_representations/'

FULL_COCKTAIL_REP_PATH = REPO_PATH + "/checkpoints/cocktail_representation/handcoded_reps/cocktail_handcoded_reps_minmax_norm-1_1_dim13_customkeys.txt"
RECIPE2FEATURES_PATH = REPO_PATH + "/checkpoints/cocktail_representation/"  # get this by running run_without_vae
COCKTAIL_REP_CHKPT_PATH = REPO_PATH + "/checkpoints/cocktail_representation/handcoded_reps/"
# FULL_COCKTAIL_REP_PATH = REPO_PATH + "experiments/cocktails/representation_analysis/affective_mapping/clustered_representations/all_cocktail_reps_norm-1_1_custom_keys_dim13.txt'
COCKTAIL_NN_PATH = REPO_PATH + "/checkpoints/cocktail_representation/handcoded_reps/nn_model.pickle"