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Copy pathAlbertsons_VarianceChk2.py
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Albertsons_VarianceChk2.py
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from config import CONN_STRING_TDWH
from config_ECommSalesDW import CONN_STRING_ECommSalesDW
import sqlalchemy
from sqlalchemy.types import String
import pandas as pd
import numpy as np
import pyodbc
import sys
import os
import win32com.client
outlook = win32com.client.Dispatch("Outlook.Application")
def get_stg_data(debug=True):
query = """
declare @src varchar(99) = '[DataStage].[STG_AlbertsonsMasterSales]'
SELECT
@src [src],
cast (dte.[WeekDateValue] as date) [calendarWeekStartDate]
,dte.FiscalYearNumber [FiscalYear]
,dte.[WeekNumber] [fiscalYearWeekNumber]
,dte.PeriodNumber [fiscalPeriod]
,dte.PeriodWeekNumber [fiscalPeriodWeekNumber]
,sum(cast(sales.[NETAmount] as money)) [Dollars]
--,count (*) [Rows]
FROM [TDWH].[DataStage].STG_Albertsons_MasterSales sales
join tdwh.common.datedimensionview dte on dte.[DateValue] = sales.ActivityDay
where dte.[WeekDateValue] >= dateadd(dd, -60, getdate())
group by
dte.FiscalYearNumber
,dte.[WeekDateValue]
,dte.[WeekNumber]
,dte.PeriodNumber
,dte.PeriodWeekNumber
order by dte.[WeekDateValue]
"""
connection_string = CONN_STRING_TDWH
#connection_string = CONN_STRING_ECommSalesDW
db_engine = sqlalchemy.create_engine(connection_string)
if (debug):
print('Query:\n', query)
df = pd.read_sql(query, db_engine)
row_count, col_count = df.shape
if (debug):
print ('row_count: ', row_count)
if (row_count == 0):
# print('\nFollowing query produced no rows:\n', query)
whatever = False
# exit(1)
else:
#kroger_desc = df.KrogerDesc[0]
whatever = True
# exit(1)
return df
def get_ecommsldw_data(debug=True):
query = """
declare @src varchar(99) = '[landing].[Albertsons]'
select
@src [src],
cast (dte.calendarWeekStartDate as DATE) [calendarWeekStartDate]
,dte.fiscalYear [FiscalYear]
,dte.fiscalYearWeekNumber
,dte.fiscalPeriod
,dte.fiscalPeriodWeekNumber
,sum (sale.NetAmount) [Dollars]
--,count (*) [Rows]
FROM [ECommSalesDW].[landing].[AlbertsonsDaily] sale
join ECommSalesDW.dim.date dte on dte.dateId = sale.ActivityDay
where dte.calendarWeekStartDate >= dateadd(dd, -60, getdate())
group by
dte.calendarWeekStartDate
,dte.fiscalYear
,dte.fiscalYearWeekNumber
,dte.fiscalPeriod
,dte.fiscalPeriodWeekNumber
order by
dte.calendarWeekStartDate
"""
#connection_string = CONN_STRING_TDWH
connection_string = CONN_STRING_ECommSalesDW
db_engine = sqlalchemy.create_engine(connection_string)
if (debug):
print('Query:\n', query)
df = pd.read_sql(query, db_engine)
row_count, col_count = df.shape
if (debug):
print ('row_count: ', row_count)
if (row_count == 0):
print('\nFollowing query produced no rows:\n', query)
return df
def get_ecommsmeas_data(debug=True):
query = """
declare @src varchar(99) = '[measure].[vw_productSaleDaily]'
select
@src [src],
cast (dte.calendarWeekStartDate as DATE) [calendarWeekStartDate]
,dte.fiscalYear [FiscalYear]
,dte.fiscalYearWeekNumber
,dte.fiscalPeriod
,dte.fiscalPeriodWeekNumber
,sum (sale.[OrigRSV]) [Dollars]
--,count (*) [Rows]
FROM [ECommSalesDW].[measure].[vw_productSaleDaily] sale
join ECommSalesDW.dim.date dte on dte.dateId = sale.[dayOfSale]
join ECommSalesDW.dim.customer cust on cust.[customerId] = sale.[customerId]
where dte.calendarWeekStartDate >= dateadd(dd, -60, getdate())
and cust.customerName = 'albertsons'
group by
dte.calendarWeekStartDate
,dte.fiscalYear
,dte.fiscalYearWeekNumber
,dte.fiscalPeriod
,dte.fiscalPeriodWeekNumber
order by
dte.calendarWeekStartDate
"""
#connection_string = CONN_STRING_TDWH
connection_string = CONN_STRING_ECommSalesDW
db_engine = sqlalchemy.create_engine(connection_string)
if (debug):
print('Query:\n', query)
df = pd.read_sql(query, db_engine)
row_count, col_count = df.shape
if (debug):
print ('row_count: ', row_count)
if (row_count == 0):
print('\nFollowing query produced no rows:\n', query)
return df
def send_email(cmd, msg_body, debug=False):
Msg = outlook.CreateItem(0) # Email
Msg.To = "[email protected]" # you can add multiple emails with the ; as delimiter. E.g. [email protected]; [email protected];
Msg.Subject = "[" + cmd + "]"
Msg.BodyFormat = 2
Msg.HTMLBody = msg_body
Msg.display()
Msg.Send()
if __name__ == "__main__":
debug = False
cmd_name = os.path.basename(sys.argv[0])
cmd_name = cmd_name[:-3] # drop .py off name
df_stg = get_stg_data(debug=debug)
if (debug):
print('df_stg', df_stg)
#df_esdw = get_ecommsldw_data(debug=debug)
df_esdw = get_ecommsmeas_data(debug=debug)
if (debug):
print('df_esdw', df_esdw)
# Compare DFs
df_final = df_stg
df_final.rename(columns={'src': 'Stg_Src'}, inplace=True)
df_final.rename(columns={'Dollars': 'Stg_Dollars'}, inplace=True)
df_final.insert(1, 'Measure_Src', df_esdw['src'])
df_final['Measure_Dollars'] = df_esdw['Dollars']
df_final['Diff'] = np.where(df_final['Stg_Dollars'] == df_final['Measure_Dollars'], 0, df_final['Measure_Dollars'] - df_final['Stg_Dollars'])
# Send mail
html = df_final.to_html(border=1,index=False)
if (debug):
print('html', html)
send_email(cmd=cmd_name, msg_body=html)