Cleaned up some spacing/formatting. Modified main query to join in the State and Country tables.
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27
main.py
27
main.py
@@ -2,12 +2,10 @@ 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.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker
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from sqlalchemy.orm import sessionmaker
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UserAddressID = []
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UserAddressID = []
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ActiveUser = []
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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 = create_engine('mssql+pymssql://IDV2Ridge:cWZSGWXS9muyYkHN*@10.10.10.50/IDV2Ridge',echo=False)
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engine.connect()
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engine.connect()
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Base = declarative_base()
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Base = declarative_base()
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@@ -28,9 +26,9 @@ class Address(Base) :
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Line1 = Column(String)
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Line1 = Column(String)
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Line2 = Column(String)
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Line2 = Column(String)
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City = Column(String)
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City = Column(String)
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State = Column(String)
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StateId = Column(Integer)
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PostalCode = Column(String)
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PostalCode = Column(String)
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Country = Column(String)
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CountryId = Column(Integer)
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PhoneNumber = Column(String)
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PhoneNumber = Column(String)
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EmailAddress = Column(String)
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EmailAddress = Column(String)
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@@ -44,6 +42,16 @@ class User(Base):
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IsDeleted = Column(BOOLEAN)
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IsDeleted = Column(BOOLEAN)
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class State(Base):
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__tablename__ = 'State'
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Id = Column(Integer, primary_key=True)
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StateName = Column(String)
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class Country(Base):
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__tablename__ = 'Country'
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Id = Column(Integer, primary_key=True)
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CountryName = Column(String)
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Session = sessionmaker(bind=engine)
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Session = sessionmaker(bind=engine)
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session = Session()
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session = Session()
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@@ -57,10 +65,13 @@ for each in ActiveUser:
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UserName = each[1] + ' ' + each[2]
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UserName = each[1] + ' ' + each[2]
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print(UserName)
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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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# 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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# 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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for ua in session.query(UserAddress).filter(UserAddress.UserId == each[0]):
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UserAddressID.append(ua.AddressId)
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UserAddressID.append(ua.AddressId)
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for aid in UserAddressID:
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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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for cn in session.query(Address, State, Country).join(State, Address.StateId == State.Id).join(Country, Address.CountryId == Country.Id).filter(Address.Id == aid).all():
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print(cn.ContactName, cn.CompanyName, cn.Line1, cn.Line2)
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print(cn[0].ContactName, 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].EmailAddress)
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UserAddressID = []
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UserAddressID = []
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