check_input.py

# tested and running 2026-03-25
# check_input csv without changes
# check of german or english type of csv needed (decimal, sep)
# delete any datafiles besides target csv from folder before running
# working for only one folder at a time

import os
import pandas as pd
from datetime import datetime

timestart = datetime.now()
date_time_str = timestart.strftime("%Y-%m-%d_%H-%M")

csv_path = './data/training' # change to training or testing depending on the csv you want to check (also line 17)
csv_out = './results'
input_list = os.listdir(csv_path)
print(input_list)
for file in input_list:
    df = pd.read_csv(os.path.join(csv_path, file), decimal=",", sep=";") # change as needed
    input_channels = df.columns.tolist()
    with open(os.path.join(csv_out, f'csv_training_{date_time_str}.txt'), 'a') as f:
        f.write(file + "\n")
        f.write(str(input_channels) + "\n")