67 lines
2.0 KiB
Python
67 lines
2.0 KiB
Python
from sqlalchemy import create_engine, Column, Integer, String, BOOLEAN
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker
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UserAddressID = []
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ActiveUser = []
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engine = create_engine('mssql+pymssql://IDV2Ridge:cWZSGWXS9muyYkHN*@10.10.10.50/IDV2Ridge',echo=False)
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engine.connect()
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Base = declarative_base()
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class UserAddress(Base):
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__tablename__ = 'UserAddress'
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UserId = Column(Integer, primary_key=True)
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AddressId = Column(Integer, primary_key=True)
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class Address(Base) :
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__tablename__ = 'Address'
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Id = Column(Integer, primary_key=True)
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ContactName = Column(String)
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CompanyName = Column(String)
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Line1 = Column(String)
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Line2 = Column(String)
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City = Column(String)
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State = Column(String)
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PostalCode = Column(String)
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Country = Column(String)
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PhoneNumber = Column(String)
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EmailAddress = Column(String)
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class User(Base):
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__tablename__ = 'User'
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ID = Column(Integer, primary_key=True)
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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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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 == 1):
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ActiveUser.append([user.ID, user.FirstName, user.LastName])
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# loop through each user in the ActiveUser array
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for each in ActiveUser:
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# Combine Users First/Last name into single variable
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UserName = each[1] + ' ' + each[2]
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print(UserName)
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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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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).filter(Address.Id==aid):
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print(cn.ContactName, cn.CompanyName, cn.Line1, cn.Line2)
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UserAddressID = []
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