def __variables__(self):
self.ID = self.table.item(self.row, 0).text()
self.connUser = connUser()
self.connDB = connDB(self.table.widget.windows.CURRENT_YEAR)
def __connUser__(self):
self.connUser = connUser()
def __connector__(self):
self.connUser = connUser()
self.connBusiness = connBusiness()
self.connInfo = connInfo()
from pandas import DataFrame
from os import listdir
from setting import databaseMain
import connector.connTotal as connTotal
from connector.connBusiness import connBusiness
from connector.connUser import connUser
CONN_BUSINESS = connBusiness()
CONN_USER = connUser()
def returnTotalPerYear(column=False):
listNumbers = CONN_BUSINESS.returnNumbers()
listBusiness = CONN_BUSINESS.returnBusinesses()
listYears = listdir(databaseMain)
columns = ['사업명']+[f"{year.replace('.db', '')}년" for year in listYears]+['합계']
if column:
return columns
else:
resultTotal = []
for number, business in zip(listNumbers, listBusiness):
yearTotal = []
for idx, year in enumerate(listYears):
year = year.replace('.db', '')
listYears[idx] = year
dateColumns = connTotal.returnColumns(year)[8:]
businessPerYear = connTotal.returnBusinesses(year)
if business in businessPerYear:
sumQuery = f"SUM(`{'`), SUM(`'.join(dateColumns)}`)"
query = f"Select {sumQuery} from Main Where `번호`='{number}' and `적용상태_사업`='적용' and `적용상태_부서원`='적용';"
value = sum(connTotal.runQuery_return(year, query))
def __connector__(self):
self.connUser = connUser()
self.connDB = connDB(self.widget.windows.CURRENT_YEAR)
def __variables__(self):
self.ID = self.table.item(self.row, 0).text()
self.connUser = connUser()
def __init__(self, year):
self.year = year
self.path = f"{setting.databaseMain}/{year}.db"
self.connUser = connUser()
self.connBusiness = connBusiness()
