main.py

import pandas as pd


def main():
    pass

    # Load heinemann_de and aelia_cz products from input_data folder


    # Concatenate data


    # Load products mapping from input_data folder


    # Keep only products available in products mapping (based on internal id and retailer)


    # Split updated at into date and time


    # Compute mean price for each product and day and assign it to "Mean price column"


    # Keep only needed columns (title, internalid, retailer, country, actual_price, in_sale, url, price mean)


    # Save resulting dataset into output.csv


    # Generate dataset containing only last record for each product (not all products have been available on 2024-06-25)


    # Save resulting dataaset into output_latest.csv


if __name__ == '__main__':
    main()