DDSNA

from datetime import datetime

from airflow import DAG

from airflow.decorators import dag, task

from sqlalchemy import create_engine, select

import pandas as pd
import psycopg2

DDSNA

import openpyxl as xl
from  openpyxl.chart import BarChart, reference

def process_workbook(filename):
    wb = xl.load_workbook(filename)
    sheet = wb["Sheet1"]

    for row in range (2, sheet.max_row +1):
        cell=sheet.cell(row, 3)
        corrected_price = cell.value*0.9