convert.py

import csv
csv.field_size_limit(1000000000)

if __name__ == '__main__':
    # get md5 to all other properties map
    md5_to_row = dict()
    with open("posts-2023-09-14.csv", "r", encoding="utf-8") as input_file:
        reader = csv.reader(input_file)
        header = next(reader)

        for row in reader:
            # row[3] is md5
            this_map = {row[3]:row}
            md5_to_row.update(this_map)

    # get all aesthetic ratings
    aesthetic_score_rows = []
    with open("aesthetic_scores_t3.4_q90.csv", "r", ) as input_file_2:
        reader = csv.reader(input_file_2)
        _ = next(reader)
        for row in reader:
            aesthetic_score_rows.append(row)


    with open("output.csv", "w", encoding="utf-8", newline="") as output_file:
        writer = csv.writer(output_file)
        header.append("aesthetic_score")
        writer.writerow(header)

        for row in aesthetic_score_rows:
            this_md5 = row[1]
            if this_md5 in md5_to_row.keys():
                this_row = md5_to_row[row[1]]
                this_row.append(row[-1])
                writer.writerow(this_row)