94 lines
4.2 KiB
Python
94 lines
4.2 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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week: str
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bestellnummer: str
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bestellposition: str
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leistungszeilennummer: str
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kurztext: str
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leistungszeilentext: str
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username: str
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name: str
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kontierung: str
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ansprechpartner_username: str
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ansprechpartner_name: str
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def export_timesheet(csvexport_filename, ex: Export):
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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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writer.writerow(["Bestellnummer","Bestellpositionsnr","Leistungszeilennummer","Kurztext","Leistungszeilentext","Username","Name","Arbeitstag","Stunden","Beschreibung","Kontierung","Ansprechpartner Username","Ansprechpartner","Status"])
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# iterate
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for time_entry in list_of_dicts:
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if time_entry.get(ex.sum_col) and time_entry.get(ex.desc_col) and time_entry.get("week"):
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if (int(time_entry.get("week")) in week) or week is None:
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#if week == int(time_entry.get("week")) or week is None:
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date_str_de_de = time_entry.get("date")
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datetime_object = datetime.datetime.strptime(date_str_de_de, '%a., %d. %B %Y')
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if ex.kontierung == '':
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sub_kontierung = time_entry.get("pos_service").split("-")[1]
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writer.writerow([ex.bestellnummer,ex.bestellposition,ex.leistungszeilennummer,ex.kurztext,ex.leistungszeilentext,ex.username,ex.name,datetime_object.strftime('%d.%m.%Y'),time_entry.get(ex.sum_col),time_entry.get(ex.desc_col),sub_kontierung,ex.ansprechpartner_username,ex.ansprechpartner_name,"OFFEN"])
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else:
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writer.writerow([ex.bestellnummer,ex.bestellposition,ex.leistungszeilennummer,ex.kurztext,ex.leistungszeilentext,ex.username,ex.name,datetime_object.strftime('%d.%m.%Y'),time_entry.get(ex.sum_col),time_entry.get(ex.desc_col),ex.kontierung,ex.ansprechpartner_username,ex.ansprechpartner_name,"OFFEN"])
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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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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 ["wgwr3", "wgwr_service", "dkarb", "bauwb", "service"]:
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elsap_id = list_of_dicts[2].get(f"sum_{key}")
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if elsap_id != "":
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csvexport_filename = f"{datetime.date.today().strftime('%Y_%m')}_01_{elsap_id}_{username}"
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ex1 = Export(sum_col=f"sum_{key}",
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desc_col=f"desc_{key}",
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week=week,
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bestellnummer=elsap_id.split('_')[0],
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bestellposition=elsap_id.split('_')[1],
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leistungszeilennummer=elsap_id.split('_')[2],
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kurztext=list_of_dicts[1].get(f"sum_{key}"),
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leistungszeilentext=list_of_dicts[3].get(f"sum_{key}"),
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username=username,
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name=name,
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kontierung=list_of_dicts[4].get(f"sum_{key}"),
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ansprechpartner_username=ansprechpartner_username,
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ansprechpartner_name=ansprechpartner_name)
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export_timesheet(csvexport_filename=csvexport_filename, ex=ex1) |