76 lines
3.1 KiB
Python
76 lines
3.1 KiB
Python
from dataclasses import dataclass
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import gspread
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import csv
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import locale
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import datetime
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import yaml
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import os
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from pathlib import Path
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#TODO: Upload automatically!
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@dataclass
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class Export: # all necessary fields for ELSAP-importfiles
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sum_col: str
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desc_col: str
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def export_timesheet(csvexport_filename, ex: Export):
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if not hasattr(export_timesheet, "row"):
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export_timesheet.row = 4
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with open(f"{csvexport_filename}.csv", 'w') as file:
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writer = csv.writer(file, delimiter=';', lineterminator="\n")
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period = datetime.datetime.strptime(cfg['worksheet_name'], "%B %Y").date().replace(day=1)
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writer.writerow(["","","","Current Period",f"{period.strftime('%d.%m.%Y')}"])
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writer.writerow("")
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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"])
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# iterate
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for time_entry in list_of_dicts:
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date_str_de_de = time_entry.get("date")
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if date_str_de_de not in ["","Wochensumme","Summe (kumuliert)"]:
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datetime_object = datetime.datetime.strptime(date_str_de_de, '%a., %d. %B %Y')
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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)])
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export_timesheet.row += 1
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# Check if the file size is small (indicating only the header)
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file_path = f"{csvexport_filename}.csv"
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# Use os.path.getsize to get the file size
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if os.path.getsize(file_path) <= 190: # Adjust this size threshold based on your expected header size
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os.remove(file_path)
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print(f"File {file_path} was deleted because it only contained the header.")
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else:
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print(f"File {file_path} contains data and was not deleted.")
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# Set locale to German (Germany)
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locale.setlocale(locale.LC_TIME, 'de_DE.UTF-8')
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#locale.setlocale(locale.LC_ALL, 'de_AT.UTF-8')
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with open("./app/config.yaml", encoding='utf8') as f:
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cfg = yaml.load(f, Loader=yaml.FullLoader)
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home = Path.home()
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gc = gspread.service_account(home / "service_account.json")
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sh = gc.open(cfg['spreadsheet_name'])
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worksheet = sh.worksheet(cfg['worksheet_name'])
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week = cfg['week'] # 10, 11, 12 or None
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username = cfg['username']
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name = cfg['name']
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ansprechpartner_username = cfg['ansprechpartner_username']
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ansprechpartner_name = cfg['ansprechpartner_name']
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# read the whole sheet
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list_of_dicts = worksheet.get_all_records(numericise_ignore=['all'])
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for key in ["gems"]:
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# extract period out of sheet-name
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period = datetime.datetime.strptime(cfg['worksheet_name'], "%B %Y").date().replace(day=1)
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csvexport_filename = f"GEMS_{period.strftime('%Y-%m')} LNW {cfg['name']}"
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ex1 = Export(sum_col=f"sum_{key}",
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desc_col=f"desc_{key}")
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export_timesheet(csvexport_filename=csvexport_filename, ex=ex1) |