DBsExcel_con_UDT/DB_to_Excel.py

from CreateTableAndOffsets import convert_to_table
from ExpandDB import expand_dbs
from manejoArchivos import select_file, open_file_explorer
from FileSystem import *
from S7_DBParser import parse_dbs, parse_udts
from Excel import *

if __name__ == "__main__":
    file_path = select_file()
    if file_path:  # Proceed only if a file was selected
        with open(file_path, "r", encoding="utf-8-sig") as file:
            lines = file.readlines()

        file_name, extension, dest_path = extract_file_details(file_path)
        dest_path = create_directory(dest_path, file_name)
        json_path = build_file_path(dest_path, file_name, "json")
        xml_path = build_file_path(dest_path, file_name, "xml")
        excel_path = build_file_path(dest_path, file_name, "xlsx")
        cvs_path = build_file_path(dest_path, file_name, "cvs")

        udt_json = parse_udts(lines)
        db_json = parse_dbs(lines, udt_json)

        expand_dbs(udt_json, db_json)  # Expand DBs with UDT definitions

        save_data_as_json(db_json, json_path)

        # Display the expanded DBs as a table
        df = convert_to_table(db_json)

        save_dataframe_to_file(df, cvs_path)  # Save the DataFrame to a CSV file

        ## EXCEL output
        save_dataframe_to_excel(
            df, excel_path, file_name
        )  # Optionally, save the DataFrame to an Excel file
        workbook, worksheet = open_worksheet(excel_path, file_name)
        autosize_columns(worksheet, ["A", "B", "C", "D", "E", "F", "G"])
        center_columns(worksheet, ["C", "D", "E"])
        save_workbook(workbook, excel_path)

        # Save JSON data to an XML file
        save_json_to_xml(db_json, xml_path)

        # Open the directory containing the new file in Explorer
        open_file_explorer(os.path.dirname(excel_path))
    else:
        print("No file was selected.")