def __init__(self, file, from_pickle=False):
if from_pickle:
data = pickle.load(file)
Checker.clean_global_init(data["checker_meta"])
Seat.counters = data["seats_meta"]
self.__dict__.update(data["controller"].__dict__)
return
self.email_handle = list()
self.mode = {"people": "None"}
self.last_change = None
self.people = pd.DataFrame()
self.auds = dict()
self.inds = list()
self.teams = list()
self.seed = 1
found_main_settings = False
excel_file = ExcelFile(file)
for name in excel_file.sheet_names:
raw_frame = excel_file.parse(name, index_col=None, header=None)
unresolved_dict = splitter(raw_frame, named=True)
if "main_settings" in unresolved_dict.keys():
if found_main_settings:
raise ControllerException("Две страницы с общими настройками!")
found_main_settings = True
Checker.raw_global_init(unresolved_dict)
self.checker = Checker()
if not found_main_settings:
raise TypeError("Настройки не найдены, на странице с настройками нужен ключ main_settings")
for name in excel_file.sheet_names:
raw_frame = excel_file.parse(name, index_col=None, header=None)
unresolved_dict = splitter(raw_frame, named=True)
if "main_settings" not in unresolved_dict.keys():
tmp = Auditory(unresolved_dict, outer_name=name)
if tmp.inner_name in self.auds.keys():
del tmp
raise TypeError("Есть одинаковые аудитории")
else:
self.auds[tmp.inner_name] = tmp
self._message_upd()
def load_auditory(self, file):
"""
Повторяющиеся загружены не будут
:param file:
:return:
"""
excel_file = ExcelFile(file)
for name in excel_file.sheet_names:
raw_frame = excel_file.parse(name, index_col=None, header=None)
unresolved_dict = splitter(raw_frame, named=True)
if "settings" in unresolved_dict.keys():
tmp = Auditory(unresolved_dict, outer_name=name)
if tmp.inner_name in self.auds.keys():
del tmp
else:
self.auds[tmp.inner_name] = tmp
else:
return writer.My_excel_stream()
if __name__ == '__main__':
description = "\
This program allows you to parse excel documents and split multiple sequences to different tables or sheets. \
It is also possible to name them depending on the mark of the table. You can choose stream in {std, \
excel}. If you want single file output it is possible to stream output into it. \
See more information below."
parser = argparse.ArgumentParser(description=description)
parser.add_argument("input", nargs='*', help="name of the file that you want to split should have .xlsx extension")
parser.add_argument("-d", "--debug", action='store_true', default=False, help="this flag allows to make a log file")
parser.add_argument("-n", "--named", action='store_true', default=False,
help="name every table, or excel sheet with a mark as top left side cell")
parser.add_argument("-s", "--stream", default="std", choices=["std", "excel"],
help="where to store the results, std by default")
parser.add_argument("-f", "--file", help="if you want to store all results in one excel book? name it")
opts = vars(parser.parse_args(sys.argv[1:]))
if (not opts["input"]) or (not opts["input"][0].endswith(".xlsx")):
print("INPUT name of the file that you want to split should have .xlsx extension")
parser.print_usage()
sys.exit(1)
# Init stream
stream = init_stream(opts["stream"], opts["file"])
table = pd.read_excel(opts["input"][0], header=None)
result_dict = reader.splitter(table, named=opts["named"], debug=opts["debug"])
stream.write(result_dict)
stream.close()