Fix Excel File Bug - Save Total Excel Results

import os

import openpyxl

def swap_excel_cols(folder_path):

    # Iteriere durch alle Excel-Dateien im Ordner

    for filename in os.listdir(folder_path):

        if filename.endswith(".xlsx"):

            file_path = os.path.join(folder_path, filename)

            swap_file_cols(file_path)

def swap_file_cols(file_path):

    # Lade das Workbook

    wb = openpyxl.load_workbook(file_path)

    # Wähle das erste Blatt aus

    ws = wb.worksheets[0]

    # Definiert die Zeilen, in denen die Spalten getauscht werden sollen

    rows = [19, 42, 65, 88, 111, 134, 140]

    # Tausche die Spalten in jeder Zeile

    for row in rows:

        col_d = ws.cell(row=row + 1, column=4).value

        col_e = ws.cell(row=row + 1, column=5).value

        ws.cell(row=row + 1, column=4).value = col_e

        ws.cell(row=row + 1, column=5).value = col_d

    # Speichere das Workbook

    wb.save(file_path)

def read_metrics(path):

    # Save unique values of opt and act in a dictionary

    unique_opt = dict()

    unique_act = dict()

    final_matrix_loss = dict()

    final_matrix_accuracy = dict()

    final_matrix_recall_oos = dict()

    final_matrix_recall_not_oos = dict()

    final_matrix_duration = dict()

    for file in os.listdir(path):

        if file.endswith(".xlsx"):

            filename = os.path.join(path, file)

            wb = openpyxl.load_workbook(filename)

            sheet = wb.active

            # Split file name and get opt, act2, and act_128

            opt, act2, act_128 = file.split("_")[0], file.split("_")[1], file.split("_")[2]

            # Combine act2 and act_128

            act = act2 + " " + act_128

            # Get metrics

            loss = sheet["B141"].value

            accuracy = sheet["C141"].value

            recall_oos = sheet["D141"].value

            recall_not_oos = sheet["E141"].value

            duration = sheet["F141"].value

            duration, _ = duration.split(".")

            # Add opt and act to the final matrix

            if opt not in unique_opt:

                count_opt = len(unique_opt) + 2

                unique_opt[opt] = count_opt

            if act not in unique_act:

                count_act = len(unique_act) + 2

                unique_act[act] = count_act

            # Write accuracy to the final matrix

            final_matrix_loss[opt + act] = loss

            final_matrix_accuracy[opt + act] = accuracy

            final_matrix_recall_oos[opt + act] = recall_oos

            final_matrix_recall_not_oos[opt + act] = recall_not_oos

            final_matrix_duration[opt + act] = duration

    create_metriken_matrix(unique_opt, unique_act,

                           final_matrix_loss, final_matrix_accuracy, final_matrix_recall_oos,

                           final_matrix_recall_not_oos, final_matrix_duration)

def create_metriken_matrix(

        unique_opt, unique_act, final_matrix_loss, final_matrix_accuracy,

        final_matrix_recall_oos, final_matrix_recall_not_oos, final_matrix_duration):

    # Create a new Excel workbook and write the final matrix

    wb = openpyxl.Workbook()

    sheet = wb.active

    sheet = write_matrix_in_excel(sheet, unique_opt, unique_act, final_matrix_loss, 0)

    sheet = write_matrix_in_excel(sheet, unique_opt, unique_act, final_matrix_accuracy, 6)

    sheet = write_matrix_in_excel(sheet, unique_opt, unique_act, final_matrix_recall_oos, 12)

    sheet = write_matrix_in_excel(sheet, unique_opt, unique_act, final_matrix_recall_not_oos, 18)

    sheet = write_matrix_in_excel(sheet, unique_opt, unique_act, final_matrix_duration, 24)

    wb.save("evaluation_oos_erkennung.xlsx")

def write_matrix_in_excel(sheet, unique_opt, unique_act, final_matrix, c):

    sheet.cell(row=1, column=c+1, value="2")

    sheet.cell(row=1, column=c+2, value="128")

    # Write opt names

    count_opt = 3

    for opt_key in sorted(unique_opt.keys()):

        sheet.cell(row=1, column=c+count_opt, value=opt_key)

        count_opt += 1

    # Write act names

    count_act = 2

    for act_key in sorted(unique_act.keys()):

        act_2, act128 = act_key.split(" ")

        sheet.cell(row=count_act, column=c+1, value=act_2)

        sheet.cell(row=count_act, column=c+2, value=act128)

        count_act += 1

    count_opt = 3

    # Write accuracy values

    for opt_key in sorted(unique_opt.keys()):

        count_act = 2

        for act_key in sorted(unique_act.keys()):

            if opt_key + act_key in final_matrix:

                sheet.cell(row=count_act, column=c+count_opt, value=final_matrix[opt_key + act_key])

            count_act += 1

        count_opt += 1

    return sheet

# Call the function with the folder path

# swap_excel_cols("/Users/dwillers/Programmierung/Master/Okan-Server/Results Kopie/5050")

# swap_file_cols("/Users/dwillers/Programmierung/Master/Okan-Server/Results Kopie/5050/Ftrl_softmax_softmax_03_02_23__03_19.xlsx")

# read_metrics("/Users/dwillers/Programmierung/Master/Okan-Server/Results Kopie/5050")

    worksheet.cell(row=r, column=1).value = config_knn.excluded_folder.name

    worksheet.cell(row=r, column=2).value = evaluate_metrics[0]

    worksheet.cell(row=r, column=3).value = evaluate_metrics[1]

    worksheet.cell(row=r, column=4).value = evaluate_metrics[2]

    worksheet.cell(row=r, column=5).value = evaluate_metrics[3]

    worksheet.cell(row=r, column=4).value = evaluate_metrics[3]

    worksheet.cell(row=r, column=5).value = evaluate_metrics[2]

    r = r + 4

    return worksheet, r

    worksheet.cell(row=r, column=1).value = len(training_duration_models)

    worksheet.cell(row=r, column=2).value = total_information[0]

    worksheet.cell(row=r, column=3).value = total_information[1]

    worksheet.cell(row=r, column=4).value = total_information[2]

    worksheet.cell(row=r, column=5).value = total_information[3]

    worksheet.cell(row=r, column=4).value = total_information[3]

    worksheet.cell(row=r, column=5).value = total_information[2]

    # Durchschnittswert wieder in Datetime-Objekt umwandeln

    average_datetime = format(total_information[4])

    worksheet.cell(row=r, column=6).value = average_datetime