from dataclasses import dataclass
import gspread
import csv
import locale
import datetime
import yaml
import os
from pathlib import Path
from openpyxl import Workbook
from openpyxl.utils import get_column_letter

#TODO: Day-format, Quantity-format

@dataclass
class Export: # all necessary fields for ELSAP-importfiles
    sum_col: str
    desc_col: str

from openpyxl import Workbook

def export_timesheet(xlsxexport_filename, ex: Export):
    if not hasattr(export_timesheet, "row"):
        export_timesheet.row = 4
    workbook = Workbook()
    sheet = workbook.active
    sheet.title = "Timesheet"

    period = datetime.datetime.strptime(cfg['worksheet_name'], "%B %Y").date().replace(day=1)
    sheet.append(["", "", "", "Current Period", f"{period.strftime('%d.%m.%Y')}"])
    sheet.append([])
    sheet.append(["Name", "PersNr", "CostCenter", "Day", "Date", "Status", "WBS element", "Description", "PARMA", 
                  "Task Name", "Activity Code", "ActType", "Profit center", "Quantity", "Unit", "Project description", 
                  "Customer name", "Statistical key figure", "A/AType", "Description A/A type", "AI", "Activity", 
                  "Short text"])

    # Iterate through time entries
    for time_entry in list_of_dicts:
        date_str_de_de = time_entry.get("date")
        if date_str_de_de not in ["", "Wochensumme", "Summe (kumuliert)"]:
            datetime_object = datetime.datetime.strptime(date_str_de_de, '%a., %d. %B %Y')
            sum_col_value = time_entry.get(ex.sum_col)

            sheet.append([
                cfg['name'], cfg['pers_nr'], "", f"=WEEKDAY(E{export_timesheet.row})", 
                datetime_object.strftime('%d.%m.%Y'), "", cfg['WBS_element'], cfg['WBS_desc'], "", "", "", "", "",
                sum_col_value, "Hours", "", "", "", "", "", "", "", "", time_entry.get(ex.desc_col)
            ])
            export_timesheet.row += 1

    # Hide columns
    for col in ['B', 'C', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'P', 'Q', 'R', 'S', 'T', 'U', 'V']:
        sheet.column_dimensions[col].hidden= True

    for idx, col in enumerate(sheet.columns, 1):
        sheet.column_dimensions[get_column_letter(idx)].auto_size = True

    # Save the workbook
    file_path = f"{xlsxexport_filename}.xlsx"
    workbook.save(file_path)

    # Check if the file size is small (indicating only the header)
    if os.path.getsize(file_path) <= 190:  # Adjust this size threshold based on your expected header size
        os.remove(file_path)
        print(f"File {file_path} was deleted because it only contained the header.")
    else:
        print(f"File {file_path} contains data and was not deleted.")

# Set locale to German (Germany)
locale.setlocale(locale.LC_TIME, 'de_DE.UTF-8')
#locale.setlocale(locale.LC_ALL, 'de_AT.UTF-8')

with open("./app/config.yaml", encoding='utf8') as f:
    cfg = yaml.load(f, Loader=yaml.FullLoader)

home = Path.home()
gc = gspread.service_account(home / "service_account.json")
sh = gc.open(cfg['spreadsheet_name'])
worksheet = sh.worksheet(cfg['worksheet_name'])
week = cfg['week']    # 10, 11, 12 or None

username = cfg['username']
name = cfg['name']
ansprechpartner_username = cfg['ansprechpartner_username']
ansprechpartner_name = cfg['ansprechpartner_name']

# read the whole sheet
list_of_dicts = worksheet.get_all_records(numericise_ignore=['all'])

for key in ["gems"]:
    # extract period out of sheet-name
    period = datetime.datetime.strptime(cfg['worksheet_name'], "%B %Y").date().replace(day=1)
    xlsxexport_filename = f"GEMS_{period.strftime('%Y-%m')} LNW {cfg['name']}"

    ex1 = Export(sum_col=f"sum_{key}",
                 desc_col=f"desc_{key}")

    export_timesheet(xlsxexport_filename=xlsxexport_filename, ex=ex1)