from dataclasses import dataclass
import gspread
import csv
import locale
import datetime
import yaml
import os
from pathlib import Path


#TODO: Upload automatically!

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

def export_timesheet(csvexport_filename, ex: Export):
    if not hasattr(export_timesheet, "row"):
        export_timesheet.row = 4
    with open(f"{csvexport_filename}.csv", 'w') as file:
        writer = csv.writer(file, delimiter=';', lineterminator="\n")

        period = datetime.datetime.strptime(cfg['worksheet_name'], "%B %Y").date().replace(day=1)
        writer.writerow(["","","","Current Period",f"{period.strftime('%d.%m.%Y')}"])
        writer.writerow("")
        writer.writerow(["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
        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')
                writer.writerow([cfg['name'],cfg['pers_nr'],"",f"=WEEKDAY(E{export_timesheet.row})",datetime_object.strftime('%d.%m.%Y'),"",cfg['WBS_element'],cfg['WBS_desc'],"","","","","",time_entry.get(ex.sum_col),"Hours",time_entry.get(ex.desc_col)])
                export_timesheet.row += 1

    # Check if the file size is small (indicating only the header)
    file_path = f"{csvexport_filename}.csv"

    # Use os.path.getsize to get the file size
    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)
    csvexport_filename = f"GEMS_{period.strftime('%Y-%m')} LNW {cfg['name']}"

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

    export_timesheet(csvexport_filename=csvexport_filename, ex=ex1)