def _get_all_valid_tokens():
token_data = read_df_file(tokens_file, parse_dates=[token_issue_date_col])
if df_is_empty(token_data):
return set()
apply_function_to_field_overrule(token_data,
'issue_date',
token_is_still_valid,
destination='is_valid')
return filter_df_one_value(token_data, 'is_valid', True)
def generate_new_token(user):
token_data = read_df_file(tokens_file, parse_dates=[token_issue_date_col])
new_token = secrets.token_hex(20)
write_df_to_csv(token_data.append(
pd.DataFrame([[new_token, now(), user]],
columns=[token_col, token_issue_date_col,
token_user_col])),
tokens_file,
index=False)
return new_token
def read_recurring_deposit():
return read_df_file(recurring_deposit_file)
def read_data_from_file(filename):
data = read_df_file(filename,
parse_dates=['date'],
date_parser=date_parser_for_reading)
return data.dropna(how='all')
def read_budgets():
return read_df_file(budgets_filename, sep=';')
def read_series(filename, parse_dates=False):
return read_df_file(filename,
sep=';',
index_col=0,
squeeze=True,
parse_dates=parse_dates)
def get_default_recurring():
return read_df_file(recurring_filename, sep=';', index_col=0)