# src/features/build_features.py
import pandas as pd
from time_domain_features import FeatureExtractor
import numpy as np

def build_features(input_file, output_file):
    data = pd.read_csv(input_file)
    # Assuming the relevant data is in the first column
    extractor = FeatureExtractor(data.iloc[:, 0].values)
    features = extractor.features

    # Save features to a file
    np.savez(output_file, **features)

if __name__ == "__main__":
    import sys
    input_path = sys.argv[1]  # 'data/processed/'
    output_path = sys.argv[2]  # 'data/features/feature_matrix.npz'
    
    # Assuming only one file for simplicity; adapt as needed
    build_features(f"{input_path}processed_data.csv", output_path)