Added Email address. Updated filter logic to grab all the accounts that aren't @gll accounts. Added print output to mark username changes. Added logic to filter accounts with no address book entries. Hardcoded "United States" to "USA". Rest of countries are first 3 characters of name. Added print output when user has no addressbook.
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32
main.py
32
main.py
@@ -42,6 +42,7 @@ class User(Base):
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FirstName = Column(String)
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LastName = Column(String)
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IsDeleted = Column(BOOLEAN)
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Email = Column(String)
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class State(Base):
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@@ -60,21 +61,23 @@ Session = sessionmaker(bind=engine)
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session = Session()
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# Get list of active users
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for user in session.query(User).filter(User.ID == 14):
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for user in session.query(User).filter(User.IsDeleted == 0).filter(User.Email.notlike('%gll.com')):
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ActiveUser.append([user.ID, user.FirstName, user.LastName])
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# loop through each user in the ActiveUser array. Combine Users First/Last name for the filename and
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# the first letter/last name combo for username
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for each in ActiveUser:
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#
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if session.query(Address).filter(UserAddress.UserId == each[0]).first() is not None:
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FileName = each[1] + ' ' + each[2]
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UserName = each[1][0]+each[2]
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UserName = (each[1][0]+each[2]).upper()
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# Setup XLS workbook and sheet
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print('====================='+FileName+'========================')
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# Setup XLS workbook and sheet
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wb = xlwt.Workbook()
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ws = wb.add_sheet('Addresses')
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# Write header row
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# Write header row
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ws.write(0, 0, 'ACTION')
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ws.write(0, 1, 'BU_ID')
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ws.write(0, 2, 'LOGIN_ID')
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@@ -92,16 +95,18 @@ for each in ActiveUser:
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ws.write(0, 14, 'PROFILE_TYPE')
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# For each username we're filtering the UserAddress table by their userID and adding it to the UserAddressID array.
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# The UserAddressID array is then looped through and for each AddressID we pull the Address information,
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# State Information, and Country Information and combine it into one result
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# For each username we're filtering the UserAddress table by their userID and adding it to the UserAddressID array.
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# The UserAddressID array is then looped through and for each AddressID we pull the Address information,
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# State Information, and Country Information and combine it into one result
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for ua in session.query(UserAddress).filter(UserAddress.UserId == each[0]):
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UserAddressID.append(ua.AddressId)
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for aid in UserAddressID:
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# for cn in session.query(Address, State, Country).join(State, Address.StateId == State.Id).join(Country, Address.CountryId == Country.Id).filter(Address.Id == aid):
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for cn in session.query(Address, State, Country).join(State, Address.StateId == State.Id).join(Country, Address.CountryId == Country.Id).filter(Address.Id == aid):
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# Combine all the required fields into one variable for simplicity
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AddresssBookLine = UserName, cn[0].CompanyName, cn[0].Line1, cn[0].Line2, cn[0].City, cn[1].StateName, cn[0].PostalCode, cn[2].CountryName, cn[0].PhoneNumber,cn[0].ContactName
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AddresssBookLine = UserName, cn[0].CompanyName, cn[0].Line1, cn[0].Line2, cn[0].City, cn[1].StateName, cn[0].PostalCode, cn[0].CountryId, cn[0].PhoneNumber, cn[0].ContactName, cn[2].CountryName
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# Loop through each row and populate the variable columns with the corresponding AddressBookLine element
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ws.write(LineCount, 2, AddresssBookLine[0])
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ws.write(LineCount, 3, AddresssBookLine[1])
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@@ -110,12 +115,17 @@ for each in ActiveUser:
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ws.write(LineCount, 8, AddresssBookLine[4])
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ws.write(LineCount, 9, AddresssBookLine[5])
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ws.write(LineCount, 10, AddresssBookLine[6])
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ws.write(LineCount, 11, AddresssBookLine[7])
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if AddresssBookLine[7] == 1:
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ws.write(LineCount, 11, 'USA')
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else:
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ws.write(LineCount, 11, AddresssBookLine[10][:3])
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ws.write(LineCount, 12, AddresssBookLine[8])
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ws.write(LineCount, 13, AddresssBookLine[9])
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LineCount = LineCount + 1
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print(LineCount)
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UserAddressID = []
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LineCount = 1
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wb.save(FileName+'.xls')
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wb.save('AddressBooks/'+FileName+'.xls')
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else:
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print('!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! NONE !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!')
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